From a8632c40acd3b03b163145e3e2806d58480b8780 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Sun, 13 Jul 2025 22:44:53 -0700 Subject: [PATCH 001/700] update notebooks to call RMS using juliacall --- .../ch4_o2/simulate_ch4o2cat_RMS.ipynb | 275 +++++++++++++++--- ...ensitivity_analysis_superminimal_RMS.ipynb | 219 +++++++++++--- ...simulation_flux_rop_superminimal_RMS.ipynb | 175 +++++++++-- .../tolerance_superminimal_RMS.ipynb | 137 ++++++++- 4 files changed, 687 insertions(+), 119 deletions(-) diff --git a/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb b/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb index 371bfc2cadf..a79cc9a071f 100644 --- a/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb +++ b/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb @@ -12,16 +12,130 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "id": "82bfbe9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n", + "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n", + "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n", + "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n", + "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n", + "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n", + "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-fa96-c0dd8fa38fc4 is missing from the cache.\n", + "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n", + "└ @ Base loading.jl:2018\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n", + "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n", + "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n", + "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n", + "[ Info: Waiting for another process (pid: 19159) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n", + "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n", + "┌ Warning: MKL_jll is not available/installed.\n", + "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n" + ] + } + ], "source": [ - "from pyrms import rms\n", - "from diffeqpy import de\n", + "from juliacall import Main as rms\n", + "rms.seval(\"using PythonCall\")\n", + "rms.seval(\"using ReactionMechanismSimulator\")\n", + "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n", + "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", - "from julia import Main\n", "%matplotlib inline" ] }, @@ -44,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "f9caf172", "metadata": {}, "outputs": [], @@ -99,31 +213,95 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 3, "id": "76557080", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "┌ Warning: failed to generate StokesDiffusivity model for species vacantX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species C.[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CH3X\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species HX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CH2X\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CHX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species HOX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC=[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC#[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OCX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species H2OX\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species O=C[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC(=[Pt])O[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species O=C(O)[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species [Pt]OC=[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CO2X\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC(O)[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species O=CO.[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species OC([Pt])O[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species O=C(O)O[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species [H][H].[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CO.[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species CO[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species C=O.[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species [Pt]CO[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n", + "┌ Warning: failed to generate StokesDiffusivity model for species O=CO[Pt]\n", + "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "12 Gas-phase species\n", - "3 Gas-phase reactions\n", + "11 Gas-phase species\n", + "1 Gas-phase reactions\n", "29 Surface species\n", - "198 Surface reactions\n", - "21 Gas-Surface reactions\n" + "328 Surface reactions\n", + "22 Gas-Surface reactions\n" ] } ], "source": [ - "mechanism_path = \"ch4o2cat.rms\" # You may change the path to actual mechanism file path\n", + "mechanism_path = \"rms/chem40.rms\" # You may change the path to actual mechanism file path\n", "\n", "phase_dict = rms.readinput(mechanism_path)\n", "gas_spcs = phase_dict[\"gas\"][\"Species\"]\n", "gas_rxns = phase_dict[\"gas\"][\"Reactions\"]\n", "surface_spcs = phase_dict[\"surface\"][\"Species\"]\n", "surface_rxns = phase_dict[\"surface\"][\"Reactions\"]\n", - "interface_rxns = Main.get(phase_dict, Main.Set([\"surface\", \"gas\"]), Main.nothing)[\"Reactions\"]\n", + "interface_rxns = rms.get(phase_dict, rms.Set([\"surface\", \"gas\"]), rms.nothing)[\"Reactions\"]\n", "print(f\"{len(gas_spcs)} Gas-phase species\")\n", "print(f\"{len(gas_rxns)} Gas-phase reactions\")\n", "print(f\"{len(surface_spcs)} Surface species\")\n", @@ -157,7 +335,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 4, "id": "4aed6687", "metadata": {}, "outputs": [], @@ -200,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 5, "id": "4f19e662", "metadata": {}, "outputs": [], @@ -227,13 +405,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 6, "id": "9f4eab3f", "metadata": {}, "outputs": [], "source": [ - "domaingas, y0gas, pgas = rms.ConstantTPDomain(phase=ig, initialconds=gas_initial_conds)\n", - "domaincat, y0cat, pcat = rms.ConstantTAPhiDomain(phase=cat, initialconds=surface_initial_conds)" + "domaingas, y0gas, pgas = rms.ConstantTPDomain(phase=ig, initialconds=to_julia(gas_initial_conds))\n", + "domaincat, y0cat, pcat = rms.ConstantTAPhiDomain(phase=cat, initialconds=to_julia(surface_initial_conds))" ] }, { @@ -252,7 +430,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 7, "id": "c925a1c8", "metadata": {}, "outputs": [], @@ -274,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 8, "id": "af2ff17b", "metadata": {}, "outputs": [], @@ -296,13 +474,13 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 9, "id": "051a8d03", "metadata": {}, "outputs": [], "source": [ - "sol = de.solve(react.ode,\n", - " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + "sol = rms.solve(react.ode,\n", + " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", " abstol=1e-20, # You may tighter the tolerance with a cost of more computational time\n", " reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n", " )" @@ -322,7 +500,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 10, "id": "72f9c4e7", "metadata": {}, "outputs": [], @@ -358,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 11, "id": "d6cc9fcc", "metadata": {}, "outputs": [ @@ -368,13 +546,13 @@ "Text(0, 0.5, 'Mole Fraction')" ] }, - "execution_count": 45, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -405,7 +583,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 12, "id": "eded974c", "metadata": {}, "outputs": [ @@ -415,13 +593,13 @@ "Text(0, 0.5, 'Mole Fraction')" ] }, - "execution_count": 46, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -433,7 +611,7 @@ "source": [ "tf = 3e-5\n", "tol = 1e-2\n", - "rms.plotmolefractions(ssys.sims[0], tf, exclude=[\"N2\"], tol=tol)" + "rms.plotmolefractions(ssys.sims[0], tf, exclude=to_julia([\"N2\"]), tol=tol)" ] }, { @@ -450,19 +628,40 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 13, "id": "5d2f1214", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "1102×1378 Array{RGBA{N0f8},2} with eltype ColorTypes.RGBA{FixedPointNumbers.N0f8}:\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " ⋮ ⋱ \n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n", + " RGBA{N0f8}(1.0,1.0,1.0,0.667) RGBA{N0f8}(1.0,1.0,1.0,0.667)" ] }, + "execution_count": 13, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -486,13 +685,13 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 14, "id": "cb832d8c", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -552,7 +751,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.16" + "version": "3.9.23" } }, "nbformat": 4, diff --git a/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb b/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb index 44befc780f1..466a9c50295 100644 --- a/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb +++ b/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb @@ -15,10 +15,128 @@ "execution_count": 1, "id": "82bfbe9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ Info: Waiting for another process (pid: 19179) to finish precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/ReactionMechanismSimulator/e5wF8_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n", + "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n", + "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n", + "[ Info: Waiting for another process (pid: 19179) to finish precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/Symbolics/eABRO_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n", + "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n", + "[ Info: Waiting for another process (pid: 19179) to finish precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/ModelingToolkit/Qmdqu_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n", + "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-88f2-9430b429cb81 is missing from the cache.\n", + "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n", + "└ @ Base loading.jl:2018\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n", + "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n", + "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n", + "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n", + "[ Info: Waiting for another process (pid: 19159) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n", + "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n", + "┌ Warning: MKL_jll is not available/installed.\n", + "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n" + ] + } + ], "source": [ - "from pyrms import rms\n", - "from diffeqpy import de\n", + "from juliacall import Main as rms\n", + "rms.seval(\"using PythonCall\")\n", + "rms.seval(\"using ReactionMechanismSimulator\")\n", + "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n", + "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" @@ -35,7 +153,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "f9caf172", "metadata": {}, "outputs": [], @@ -68,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "76557080", "metadata": {}, "outputs": [ @@ -76,13 +194,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "RDKit WARNING: [21:48:22] WARNING: not removing hydrogen atom without neighbors\n", - "[21:48:22] WARNING: not removing hydrogen atom without neighbors\n" + "[22:41:39] WARNING: not removing hydrogen atom without neighbors\n" ] } ], "source": [ - "mechanism_path = \"/rmg/RMG-Py/examples/rmg/superminimal/rms/chem13.rms\" # You may change the path to actual mechanism file path\n", + "mechanism_path = \"rms/chem13.rms\" # You may change the path to actual mechanism file path\n", "\n", "phase_dict = rms.readinput(mechanism_path)\n", "spcs = phase_dict[\"phase\"][\"Species\"]\n", @@ -164,7 +281,7 @@ "metadata": {}, "outputs": [], "source": [ - "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)" + "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))" ] }, { @@ -203,13 +320,13 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 8, "id": "051a8d03", "metadata": {}, "outputs": [], "source": [ - "sol = de.solve(react.ode,\n", - " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + "sol = rms.solve(react.ode,\n", + " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", " abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n", " reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n", " )" @@ -273,13 +390,13 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 10, "id": "d6cc9fcc", "metadata": {}, "outputs": [ { "data": { - "image/png": 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x4zBw4ECsXr1aKPf390eLFi0wcOBAbNmyBcOGDcPt27cxZcoUBAcHIyIiQqg7ZcoUGBoaYtKkSfjkk0/QtWtXreMgIiIiqg2q5eHZhIQEiMViBAQEqBybMmUKioqKsH379jLbp6amIi0tDSEhIUJSX+Ktt95C7969kZCQUGnx5ubm4sCBAxg/frzKXw4kEglGjBiBzZs3K80ev2rjxo1wcXFRSupLTJkyBTk5OTh06JDKsezsbCxevBjt27eHh4cH7ty5gzVr1mD8+PFCncDAQIjFYrWvl2fpT5w4gYEDB2L58uWwsrKCj48P9u7di2fPnpUat6enp5DUl6hXrx4mT56MtLQ0XLhwodRzfvLkCYqKimBhYVHmdVHn4MGDyMnJKXW2fcCAAXBxcRE+523btqGoqKjUugEBARCLxWr/TRQUFEAulyu9iIiIiGqTaknsMzIy4OjoCENDQ5Vj1tbWMDc3R0ZGhtr2ANC2bdtSj7dt21Zte21dvXoVCoVC7XgPHjzA/fv3y+wjIyNDbfuSOsCLpTabN29Gv379YGdnhx07dmDChAnIzs7Gjh074O3tjQYNGgjtw8LCkJqaqvZlbW0t1Le1tcXMmTNx+fJlJCcno0WLFvDz84OtrS1CQ0Px559/6hT3q6ZPnw4bGxv07t27zOuiTnmfc5s2bYQ6GRkZMDc3h5WVlUo9Q0NDtG7dWu2/iQULFsDc3Fx4lfXXIiIiIqKaqlqW4pRHoVBAJBJVWnsvLy8kJycr1XF1dVWq8+jRowqNB6BCMb/c/tdff4VMJoOtrS2OHj2Kbt26qW1naWkJS0tLncbs3LkzOnfujMjISMyYMQPffvstDh8+rNFuPurO+5tvvkFCQgKSkpJgbGwslEdERCgtlcnPz0dKSgq++OILoWz//v1K51zWX0K0+XdSXt0ZM2YgJCREeC+Xy5ncExERUa1SLYm9i4sLTp48icLCQpVZ+7t370Iul8PZ2VltewBIS0tDx44dVY6np6crtV+zZg3y8/OF987Ozti3bx9sbGw0itfJyQkikQhpaWmlboGZnp6OJk2aoFmzZmpjTktLK/XY5cuXhbgAoEuXLvjhhx8QGxuLDz74AL1798aoUaPg7e2Nhg0bqrQPDAxEXFyc2nNIS0uDnZ2dSvmVK1ewYcMGxMXFIS8vD+PGjcPYsWM1ijs9PV0p7hJLlixBREQEDh8+jA4dOqjE+vIORyNGjMCQIUMwePBgoazkcyn5nC9fvgwPD49Sx2/Xrp1QNy8vD3fv3lX66wTw4i8gN27cwAcffFDqeQCAkZERjIyMyjxOREREVNNVy1IcmUyGR48eYdWqVSrHlixZggYNGmDIkCFltu/YsSPatGmDpUuX4vnz50rHLly4gMOHD2P48OFCmY2NDZycnIQX8OIB0FfLytK0aVN4enoiOjpa6QYBAO7du4f4+HgMGzZM7YywTCbD1atX8dNPP6kci4yMFMYAXuwg5O/vj+TkZKSnp6Nz586YNWuWsGTm6NGjSuet7VKcf/75BytWrEDXrl3h6uqKc+fOYeHChcjOzsaqVavQpUsXpbgPHz6sso7++fPnWLp0Kdq1a6e0/n7x4sX46quv8PPPP8PNzU3lXC0sLJSuu4mJCSwtLVXKAKBPnz6wsLBAZGSkSj+JiYm4evWq8DkPGTIEBgYGpdZduXIlHj9+rPRvgoiIiEjfVMuMvbu7O4KCgjB16lQUFhbC29sbRUVFiIuLw7JlyxAVFaV2GYRIJMKaNWvQp08fDBkyBDNmzIBEIsFvv/2GKVOmwN3dHcHBwZUa84oVK+Dh4YG+ffvi66+/RqtWrXDp0iVMnToVNjY2CA8PV9teJpNh69at8PX1xeLFi9GrVy/I5XJ8//33SExMxNatW0vdEcfR0RFhYWGYP38+jh8/jtjYWAwaNAgRERHCjkLaLsXp2rUrjI2N4evri127dpW6Lr3E5MmTsXv3bgwYMACRkZHo2rUr/v77b0RERODy5cs4fPiwcEPzzTffYM6cOdi4cSMcHByELTlLHuDVlqmpKVatWgWZTIbPP/8cX3zxBRo1aoQjR45g6tSpGDp0qDD7b2dnh2+++QahoaEwNjbGqFGj0KBBA+zevRszZ87ElClTuCMOERER6bVqW2MfFRWFDh06ICYmBnPmzIFIJMLbb7+NXbt2lbpzzKvee+89pKSkYP78+ejXrx/kcjns7Ozg6+uLGTNmVPqyCmdnZ5w9exbz5s3DsGHDkJOTA4lEAm9vb8ydO7fcnV9EIhG2bNmCZcuWYenSpZgwYQKMjIzg7u6OY8eO4f333y+3vVQqhVQqxYoVK5T2zdfW3r170aZNG43qGhsb4+jRo1iwYAFmzpyJmzdvwszMDD179kRKSorSD45FR0ejsLAQQ4cOVepj7ty5mDdvnk6xDh06FMeOHUNERAS6d++O/Px8ODk5YdasWQgODlb6K8nkyZPh6OiIJUuWYNmyZSguLoarqytiYmLw2Wef6TQ+ERERUW0hUqjbo7GSSKVSdOzYEVFRUTr34efnh4cPH2r1Q066SEpKQs+ePfHgwQOlH6jSVmZmJlq1aoXz58+X+hwA1WxyuRzm5ubIy8tDo0aNqjscInpNHKbvre4QiGqEzIX9qzsEndT17+/XtsY+OjoaYrEYFy9e1KpdcnIyxGKxyo8fVbWWLVvqvCbby8sLrq6ulRwREREREVHZXstSnPj4eOGh09J2ZlHHzc1N2HpRl3Xa2uratSuuXr1aofFe3oVH2/MlIiIiItLFa0nsNd1WsjQmJibl7lpTmSpjvIqcLxERERGRLqplu0siIiIiIqpcTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA9U2w9UERER1TS1de9uIiKAM/ZERERERHqBiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHuB2l0RERERqOEzfW90hvHbc+rV24ow9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJfR0jEokgEonQuHHjamkPAA4ODkI/Dx8+1Lr9unXrhPbBwcE6x0FERESkT2p8Yn/79m2MHTsW1tbWMDQ0hL29PYKCgpCTkwMAKCoqwrRp0/Dmm2/C1NQU1tbWGD16NO7evavzmJmZmRCJREhNTVU5JpVKhWSyKsZ+HX788UdkZGQI79etW1dmoi4SibBr1y7hfXZ2NqKioiocQ1hYGLKzs2Fubi6UFRcXY+nSpejQoQOMjY3RuHFjeHl54ZdfflFqO2zYMGRnZ8Pd3V2l319//RX9+vVDkyZNYGxsjDfffBORkZEoLi6ucMxERERENVmNTuxv3LgBNzc3ZGRkICEhAdeuXcPKlStx5MgRuLu7Izc3F0+ePMHvv/+OOXPm4Pfff8eOHTuQkZGBgQMHqu1bJBIhMzOzQvHpOvarbt26pXMM9+/fx9OnT7Vq07hxY1haWuo0nkQiUUrGS+Pn54d58+aprWNmZgaJRAKRSAQAUCgUkMlkCAsLw6RJk3D58mUcP34ctra2kEqlSjcXJiYmkEgkMDQ0VOpz586d6NGjB1q2bIljx44hPT0dQUFBCA8Ph0wmg0Kh0OmciYiIiGoDg+oOQJ0JEybA0NAQBw8ehImJCQDAzs4OnTp1gqOjI2bNmoWYmBgcOnRIqd13332HLl264NatW7Czs6uy+MzNzXUeWy6XY+vWrYiNjcWff/6J3NxcnWLYt28fgoODMWzYMPj6+pY6i10bbNmyBdu2bUNiYiIGDBgglK9evRo5OTnw9/eHp6cnTE1NS23/+PFjjBs3DgMHDsTq1auFcn9/f7Ro0QIDBw7Eli1bMGzYsFLbFxQUoKCgQHgvl8sr6cyIiIiIXo8aO2Ofm5uLAwcOYPz48UJSX0IikWDEiBHYvHlzqbOweXl5FV4Hrit1Yz9//hyHDh3CyJEjIZFIsHDhQvTq1Qtnz54V6ty6dQtisVjtKzAwUKg/YsQIxMXF4cGDB/jggw/wxhtvIDw8HLdv334dp1tpNm7cCBcXF6WkvsSUKVOQk5OjchP1soMHDyInJwehoaEqxwYMGAAXFxckJCSU2X7BggUwNzcXXra2trqdCBEREVE1qbEz9levXoVCoUDbtm1LPd62bVs8ePAA9+/fV1pW8vTpU0yfPh2ffvopGjVqVKEYPDw8UK+e8r1Pfn4+OnbsWGr9ssbOyMjAunXrsGHDBjx+/Bg+Pj44dOgQ3nvvPZU+rK2tS13b/7KX+zYwMED//v3Rv39/5OXlYevWrVi/fj3mzp0LqVQKX19fDB06VOXm6FV5eXkQi8Vq61SljIwMtZ91SR117V+u+6o2bdqobT9jxgyEhIQI7+VyOZN7IiIiqlVqbGJfnpKZ+pI12sCLh1llMhmeP3+O6OhopfpeXl5ITk5WKnN1dVVq/+jRI6XjmzdvVkkUR4wYUWo86sb+/PPPcfz4cQQGBuLbb79Vm2QbGBjAycmpzOPqmJubw9/fH/7+/jh9+jSGDx+O0aNHw8zMDN7e3mrbmpmZ4ffff1cpd3Z2Lnfc+Ph4BAQECO8LCgogEomwZMkSoWzVqlVlXjtNvfxZlaWsdfQKhUJteyMjIxgZGekcGxEREVF1q7GJvZOTE0QiEdLS0kpNStPT09GkSRM0a9YMwIvE2sfHB3/99ReOHj2qMlu/Zs0a5OfnC++dnZ2xb98+2NjYlBmDra2tSpJdWlJe3thRUVFYu3YtEhISsGfPHowYMQKjRo2Cq6urSl+3bt1Cu3btyowJAEaOHImVK1eqlD99+hQ//fQTNmzYgJ9//hmdOnXClClT0KtXL7X9AUC9evV0vqEYOHAgunbtKryfNm0abGxsMGnSJKGsRYsWavtwcXFBWlpaqccuX74MQP1NhouLi1DXw8ND5Xh6enq515WIiIioNquxiX3Tpk3h6emJ6OhoTJ48WSmhvnfvHuLj4zF69GiIRCIhsb569SqOHTuGpk2bqvRXWgJvb28PBweHCsWpydgdO3bEd999h8jISOzZswexsbHo1KkT2rdvj1GjRmH48OGQSCQAtF+Ko1AocPLkSWzYsAFbtmyBWCzGyJEj8c0336BNmzYVOjdNmZmZwczMTOm9hYWFVjcKMpkMn376KX766SeVdfaRkZHCv4ey9OnTBxYWFoiMjFRJ7BMTE3H16lV89dVXGsdDREREVNvU2MQeAFasWAEPDw/07dsXX3/9NVq1aoVLly5h6tSpsLGxQXh4OJ49e4ahQ4fi999/x549e1BcXIx79+4BACwsLFS2RKxM2o5taGiIwYMHY/Dgwbh//z7i4+MRGxuLr7/+WtiXX9ulOHFxcQgICMDHH3+MLVu2oHfv3irPBdQGMpkMW7duha+vLxYvXoxevXpBLpfj+++/R2JiIrZu3VrmjjgAYGpqilWrVkEmk+Hzzz/HF198gUaNGuHIkSOYOnUqhg4dCh8fn9d4RkRERESvV41O7J2dnXH27FnMmzcPw4YNQ05ODiQSCby9vTF37lxYWFggMzMTiYmJAKDyUOuxY8cglUqrLL47d+7oPHbz5s0RHByM4OBgpKen6xxDr169cO/evQo/KFzdRCIRtmzZgmXLlmHp0qWYMGECjIyM4O7ujmPHjuH9998vt4+hQ4fi2LFjiIiIQPfu3ZGfnw8nJyfMmjULwcHBGq3RJyIiIqqtanRiD7xYLvPjjz+WedzBwUGnHx5S10Zdn0lJSRUe+1UVWTJjbW1d4fH9/Pzg5+dX6jFdzm/dunU6xWFgYIApU6ZgypQpOrUHgG7dumH//v06tyciIiKqrWrfmg2qsOHDh6Nly5Y6tX11H31dTZs2DWKxGHl5eVq3jY+Ph1gsVtnliIiIiKguq/Ez9lS5rl69CgCoX7++Tu1LHuzVtT0AHD9+HEVFRQCg9NCtpl7ehac6foSMiIiIqCZiYl/H6LqlZWW1B14sr6qIV3fhISIiIiIuxSEiIiIi0gtM7ImIiIiI9AATeyIiIiIiPcA19kRERERqZC7sX90hEGmEM/ZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHuB2l0REREQ1mMP0va99TG7xWTtxxp6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9UCcSe6lUCpFIBJFIhNTU1Cobx8HBQRjn4cOHOvXxumIFKideIiIiIqoZ6kRiDwDjxo1DdnY22rdvL5TFxsaiS5cuMDU1hZmZGbp37449e/YotUtKSioz8XVwcEBUVJTw/syZM9i+fXuVxFqT461K+fn5mDt3Lt544w0YGRmhWbNmGDp0KC5duqRSNzc3F8HBwXBwcIChoSGsrKzw2Wef4datW9UQOREREdHrVWcS+4YNG0IikcDAwAAAEBoaioCAAPj4+ODChQs4ffo0unXrhkGDBmHFihU6jdG8eXNYWFiorTNv3jz4+flpFWt1xvuqwsJC3Lt3T6fxAGiVZBcUFKB3797473//i6+++goZGRnYt28fiouL0bVrV6SkpAh1c3Nz8e677+Lw4cOIjo7GtWvXsHnzZly/fh2dO3fGjRs3dI6ZiIiIqDYwKL+K/klJSUFkZCSWL1+OiRMnCuXh4eF4+vQpQkJCMGjQINja2lZjlP9PTYj33LlziI2NxcaNGzFnzhwEBQXp1E+PHj3QokUL+Pr6QiaToUmTJmXWjYqKwqlTp3D+/Hm89dZbAAB7e3ts374dXbt2xdixY/Hnn39CJBJh1qxZuHv3Lq5duwaJRAIAsLOzw4EDB+Ds7IwJEyZg//79OsVMREREVBvUmRn7lyUkJEAsFiMgIEDl2JQpU1BUVFSjlqhUV7zZ2dlYvHgx2rdvDw8PD9y5cwdr1qzB+PHjhTqBgYEQi8VqXy/P0p84cQIDBw7E8uXLYWVlBR8fH+zduxfPnj1TGX/jxo3w9PQUkvoS9erVw+TJk5GWloYLFy7g+fPn2LRpE0aMGCEk9SVMTEwwfvx4HDhwALm5uWWea0FBAeRyudKLiIiIqDapkzP2GRkZcHR0hKGhocoxa2trmJubIyMjQ6m8ZcuWKnWfPHlSZTG+7HXGW1hYiJ07dyI2NhaHDh2Cm5sbJkyYgGHDhpW6bCcsLAyhoaFq+7S2thb+29bWFjNnzsTMmTNx5swZrF+/Hn5+fjAwMMCIESPg5+cnPFuQkZGBnj17ltpn27ZthTpWVlZ4+PChUFZaXYVCgWvXrqFLly6l1lmwYAHmz5+v9jyIiIiIarI6mdiXR6FQQCQSKZUlJyfDzMxMqUwqlZbbV3JyMry8vIT3hYWFUCgU2LZtm1BWkujWhHh//fVXyGQy2Nra4ujRo+jWrZva+paWlrC0tNQ6ZgDo3LkzOnfujMjISMyYMQPffvstDh8+rNFuQAqFAgBUzlvXujNmzEBISIjwXi6X15ilWERERESaqJOJvYuLC06ePInCwkKVWfC7d+9CLpfD2dlZqbxVq1Zo3LixUtnLD7eWxc3NTSlRXb58ObKysrBo0SKhrLwHWF9nvF26dMEPP/yA2NhYfPDBB+jduzdGjRoFb29vNGzYUKV+YGAg4uLi1PaZlpYGOzs7lfIrV65gw4YNiIuLQ15eHsaNG4exY8cKx11cXJCWllZqn+np6QAAZ2dnNG/eHI0bN1ZbVyQSwdHRscwYjYyMYGRkpPY8iIiIiGqyOrnGXiaT4dGjR1i1apXKsSVLlqBBgwYYMmRIpYxlYmICJycn4WVhYQEzMzOVspoSb8OGDeHv74/k5GSkp6ejc+fOmDVrFlq0aAE/Pz8cPXoUz58/F+qHhYUhNTVV7evlpTj//PMPVqxYga5du8LV1RXnzp3DwoULkZ2djVWrViktlZHJZDh8+DAuXLigFOPz58+xdOlStGvXDm+99Rbq1asHHx8fbNy4UWXHnvz8fERHR6Nv375a7wBEREREVJvUyRl7d3d3BAUFYerUqSgsLIS3tzeKiooQFxeHZcuWISoqqkYtw6iueB0dHREWFob58+fj+PHjiI2NxaBBgxARESHszqPtUpyuXbvC2NgYvr6+2LVrF6ysrMqsO3nyZOzevRsDBgxAZGQkunbtir///hsRERG4fPkyDh8+LCyvCQ8Px5EjR+Dp6YlvvvkG7du3x19//YXZs2ejqKgI33//fcUuBhEREVENVycTe+DFVoodOnRATEwM5syZA5FIhLfffhu7du3CgAEDqjs8FdUZr0gkglQqhVQqxYoVK9TuLlOevXv3ok2bNhrVNTY2xtGjR7FgwQLMnDkTN2/ehJmZGXr27ImUlBSlH/Bq1qwZUlJSEBYWhoCAAGRnZ6Np06b48MMPERcXV+pSICIiIiJ9IlKUPFmox6RSKTp27Kj0q6tVJSkpCT179sSDBw9U1rhr4nXGClQ8Xn0ll8thbm6OvLw8NGrUqLrDISKiOsxh+t7XPmbmwv6vfczKUNe/v+vMGvvo6GiIxWJcvHixysZwdXVV2gFHV68jVqDy4iUiIiKi6lcnluLEx8cjPz8fAKp0Sca+fftQVFQEADrfJb6uWIHKiZeIiIiIaoY6kdjb2Ni8lnHs7e0r3MfrihWonHiJiIiIqGaoM0txiIiIiIj0GRN7IiIiIiI9wMSeiIiIiEgP1Ik19kRERES1VW3depJeP87YExERERHpASb2RERERER6gIk9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqA210SERERkRKH6XurtH9u4Vk1OGNPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHqgxib1UKoVIJIJIJEJqaqpWbZOSkoS23t7eVRJfTfU6z33dunXCWMHBwTr1UdviJSIiIqotakxiDwDjxo1DdnY22rdvL5TFxsaiS5cuMDU1hZmZGbp37449e/YotfPw8EB2djZ8fHwqHMOePXsglUphZmaGhg0bonPnzli3bl2F+61qV65cUYnz9u3bGDt2LKytrWFoaAh7e3sEBQUhJydHqZ5UKi018V23bh0aN24svB82bBiys7Ph7u5e5+IlIiIiqulqVGLfsGFDSCQSGBgYAABCQ0MREBAAHx8fXLhwAadPn0a3bt0waNAgrFixQmhnaGgIiUQCExMTtf07ODggKSmpzOPfffcdBg0aBA8PD/z222/4448/IJPJEBgYiNDQUK3O5fbt21rVf9mdO3egUCi0amNpaamU1N64cQNubm7IyMhAQkICrl27hpUrV+LIkSNwd3dHbm6u1nGZmJhAIpHA0NBQbT2RSITMzMxaEy8RERGRPjCo7gDKkpKSgsjISCxfvhwTJ04UysPDw/H06VOEhIRg0KBBsLW1rZTxbt++jSlTpiA4OBgRERFC+ZQpU2BoaIhJkybhk08+QdeuXdX2sX79esTGxsLV1RU7d+7UKZY5c+YgKSkJo0ePhq+vL1q3bq11HxMmTIChoSEOHjwo3PDY2dmhU6dOcHR0xKxZsxATE6NTfFWhtsVLREREVNPUqBn7lyUkJEAsFiMgIEDl2JQpU1BUVITt27dX2njbtm1DUVFRqTPzAQEBEIvFSEhIUDn25MkTbNiwAb1794aDgwP27duHkJAQ/Pe//xXqxMfHQywWq33Fx8cL9ZcvX445c+bg+PHjcHZ2Rvfu3bF27Vr8+++/Gp1Lbm4uDhw4gPHjx6v8FUMikWDEiBHYvHmz1n8VqCo1Id6CggLI5XKlFxEREVFtUmNn7DMyMuDo6FjqMgpra2uYm5sjIyOjUsczNzeHlZWVyjFDQ0O0bt1aabzjx48jNjYWW7duhaWlJUaOHIlVq1bB0dFRpf3AgQPVzvQDQIsWLYT/NjMzw5gxYzBmzBjcvHkTGzZswDfffINJkybh448/hq+vL3r37g2RSFRqX1evXoVCoUDbtm1LPd62bVs8ePAA9+/fh6WlJQAgOjoaa9asUar37NkzGBsbq427MtSEeBcsWID58+fr1JaIiIioJqixiX15FApFmYlticDAQMTFxQnvnzx5Ai8vL9SvX18oS0tLg52dndbjSaVSmJiY4Ntvv0VgYKDatmZmZjAzMyt3jNLY29tj9uzZmD17NmJjY/HFF18gPj4eDx48UFqjro2Sme+Xz2fEiBGYNWuWUr0dO3YoLUsqi5eXF5KTk5XKXF1dlfp/9OiRTrFWRbylmTFjBkJCQoT3crm80pZ5EREREb0ONTaxd3FxwcmTJ1FYWKgya3/37l3I5XI4Ozur7SMsLExpaY1UKsWiRYuUZs+tra2F8fLy8nD37l2hrERhYSFu3LiBDz74QCj76aefEBsbi+DgYKxevRqjRo3C8OHDIZFIVOKIj48vdUnRy1atWoURI0aolP/zzz/YtGkT1q9fj9TUVHh5ecHX1xfm5uZl9uXk5ASRSIS0tLRSt5RMT09HkyZN0KxZM6HM3NwcTk5OSvVKZsfLs2bNGuTn5wvvnZ2dsW/fPtjY2GjU/nXHWxojIyMYGRnp3J6IiIioutXYNfYymQyPHj3CqlWrVI4tWbIEDRo0wJAhQ9T2YWlpCScnJ+FlYGAAGxsblTIAGDJkCAwMDBAZGanSz8qVK/H48WMMHz5cKPvoo4+wdetWZGdnw9/fH5s2bULLli3h5eWFjRs34smTJ0LdgQMHIjU1Ve1r4MCBQv2CggJs27YNAwcOhLW1NdauXYtPP/0UWVlZ2L17NwYPHqz2rxVNmzaFp6cnoqOjlRJuALh37x7i4+MxbNiwcv/ioalXrynw4i8Nr5bVlHiJiIiI9FGNnbF3d3dHUFAQpk6disLCQnh7e6OoqAhxcXFYtmwZoqKiKnWphJ2dHb755huEhobC2NgYo0aNQoMGDbB7927MnDkTU6ZMKXWdfJMmTTB+/HiMHz8e6enpWLduHb788kts375deLhX26U448ePx969e/Hpp5/i7Nmz6NChg9bns2LFCnh4eKBv3774+uuv0apVK1y6dAlTp06FjY0NwsPDte6zKtW2eImIiIhqmhqb2ANAVFQUOnTogJiYGMyZMwcikQhvv/02du3ahQEDBlT6eJMnT4ajoyOWLFmCZcuWobi4GK6uroiJicFnn31Wbvs2bdpg4cKFiIiIwLVr13SOY8aMGVi1apXw1wRdODs74+zZs5g3bx6GDRuGnJwcSCQSeHt7Y+7cubCwsNC576pQ2+IlIiIiqmlqdGIPQNgdpjKU96NJwItlMy8vi9FFvXr14OLionP78pauaMre3h4//vhjufXK+tEuPz8/+Pn5aT2urttSVle8RERERPqgRq2xj46OhlgsxsWLF7Vql5ycrLIXfF3TsmVLpWcAqkLJfvyv7oCji9oWLxEREVFNJ1LUkF8pysrKEh6ctLOzK3X/+rLk5+cjKysLACAWi0vdmUZfvc5z//fff/H3338DABo3bqy0S42maku8crkc5ubmyMvLQ6NGjaoqRCIiohrJYfreKu0/c2H/Kum3rn9/15ilOJpujVgaExOTSlu+Utu8znOvyH78JWpbvERERES1RY1aikNERERERLphYk9EREREpAeY2BMRERER6QEm9kREREREeqDGPDxLRERERDVDVe1aQ1WLM/ZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHuB2l0RERESkxGH6Xp3bcqvM6sMZeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3s9sG7dOohEIohEIgQHB1fpWPPmzRPGioqK0qmPyojXwcFB6OPhw4c69UFERESkT2psYn/79m2MHTsW1tbWMDQ0hL29PYKCgpCTkwMAKCoqwrRp0/Dmm2/C1NQU1tbWGD16NO7evVvhsWNjY9GlSxeYmprCzMwM3bt3x549eyrcb1Vq1KgRsrOz8dVXXymVX7p0CT4+PmjevDmMjIzg7OyMOXPm4MmTJ0r1HBwcSk3U582bh44dOwrvQ0NDkZ2djZYtW1ZrvGfOnMH27dtV+s3Pz8fcuXPxxhtvwMjICM2aNcPQoUNx6dKlCsVLREREVNPVyMT+xo0bcHNzQ0ZGBhISEnDt2jWsXLkSR44cgbu7O3Jzc/HkyRP8/vvvmDNnDn7//Xfs2LEDGRkZGDhwoNq+RSIRMjMzyzweGhqKgIAA+Pj44MKFCzh9+jS6deuGQYMGYcWKFRqfw/Pnz5GVlaVx/VfdunVLq/oikQgSiQRmZmZCWUpKCrp27YrCwkLs3bsXGRkZiIiIQGxsLDw9PVFYWKh1XGKxGBKJBPXr1y+zTmZmJkQiUZXG27x5c1hYWCj1WVBQgN69e+O///0vvvrqK2RkZGDfvn0oLi5G165dkZKSovX5EhEREdUWBtUdQGkmTJgAQ0NDHDx4ECYmJgAAOzs7dOrUCY6Ojpg1axZiYmJw6NAhpXbfffcdunTpglu3bsHOzk7rcVNSUhAZGYnly5dj4sSJQnl4eDiePn2KkJAQDBo0CLa2tmX2kZ6ejtjYWGzYsAGffPIJli5dqnUcAODr64v79+/D19cXI0eOhJWVlVbtFQoFxo4di7Zt22LHjh2oV+/FPZy9vT1cXFzQqVMnLF26FNOmTdMpvspWGfFGRUXh1KlTOH/+PN566y2h/fbt29G1a1eMHTsWf/75Z6k3HQUFBSgoKBDey+XySj5DIiIioqpV42bsc3NzceDAAYwfP15I6ktIJBKMGDECmzdvhkKhUGmbl5cHkUiExo0b6zR2QkICxGIxAgICVI5NmTIFRUVFpS7/ePDgAWJiYvDuu++iffv2OHfuHBYuXIjw8HChTkREBMRisdpXcnKyUH/Lli34/PPPsXnzZtja2qJfv37YvHkznj59qtG5pKamIi0tDSEhIUKSXOKtt95C7969kZCQoOmlqXKVEe/GjRvh6ekpJPUl6tWrh8mTJyMtLQ0XLlwote2CBQtgbm4uvNTdvBERERHVRDUusb969SoUCgXatm1b6vG2bdviwYMHuH//vlL506dPMX36dHz66ado1KiRTmNnZGTA0dERhoaGKsesra1hbm6OjIwMAC+W2uzduxc+Pj6wsrJCTEwMhgwZgtu3b+PgwYMYOXIkGjZsKLQPDAxEamqq2pebm5tQv3nz5pg0aRLOnj2LixcvokOHDggNDYWVlRUCAwPLXVZSEqe661hSp8S0adNUbjYiIiI0u3gVpEu8pfWhrv3L47xqxowZyMvLE163b9/WNHQiIiKiGqFGLsVRp2Sm/uXlFEVFRZDJZHj+/Dmio6OV6nt5eSnNhAOAq6urUvtHjx5pPHZJu1u3buGjjz5CkyZNsHHjRgwePFhtWwsLC5U14Zpq27YtFi5ciIiICCxZsgSzZ8/Gpk2bKrQbzMvnUmLq1Knw8/NTKlu+fDlOnDhRbn+urq64efOm0DfwYj1+CXt7+wo9wFpavNq2B1BmH0ZGRjAyMtK5fyIiIqLqVuMSeycnJ4hEIqSlpcHb21vleHp6Opo0aYJmzZoBeJHU+/j44K+//sLRo0dVZuvXrFmD/Px84b2zszP27dsHGxsblb5dXFxw8uRJFBYWqsza3717F3K5HM7OzgCAli1bIiEhAbGxsRg2bBjeffddjB49Gp988kmpS4EiIiLKnf3ev38/unXrplJ++/ZtxMfHY8OGDfjrr7/wySef4LPPPlPbl4uLCwAgLS1NaVebEunp6cK5lGjWrBmcnJyUyjS9Gdm3bx+KiooAAFlZWZBKpUhNTRWON2jQoNLjLa2PtLS0Uo+lp6cDQLl9EBEREdVWNW4pTtOmTeHp6Yno6GilhBwA7t27h/j4eAwbNgwikUhI6q9evYrDhw+jadOmKv3Z2NjAyclJeAEvZo9fLQMAmUyGR48eYdWqVSr9LFmyBA0aNMCQIUMAAAYGBpDJZNi/fz9u3bqFAQMGICoqChKJBJ988gkSExOFRBfQfinOv//+i3Xr1qFXr15wcHDA3r17MXnyZOEa9O7dW+117NixI9q0aYOlS5fi+fPnSscuXLiAw4cPY/jw4Wr70MbL19Te3h4AlK5xSVlVxiuTyXD48GGVdfTPnz/H0qVL0a5dO5X190RERET6osYl9gCwYsUKFBQUoG/fvjhx4gRu376Nn3/+GZ6enrCxsUF4eDiePXuGoUOH4uzZs4iPj0dxcTHu3buHe/fu6bSNIwC4u7sjKCgIU6dORWRkJK5fv4709HTMnj0by5YtQ2RkZKkPVVpZWeHLL7/EpUuXcPLkSbRo0QJjxozB9OnThToWFhZKiW5pr5cfFvb29sb8+fPx3nvvISMjA8nJyfD399f4+QGRSIQ1a9YgLS0NQ4YMwenTp3Hr1i1s3boVAwYMgLu7e5X/mJU2KiPeyZMno0uXLhgwYAC2bt2KW7du4cyZMxgyZAguX76MtWvXVmg5DxEREVFNVuOW4gAvlkucPXsW8+bNw7Bhw5CTkwOJRAJvb2/MnTsXFhYWyMzMRGJiIgCoLN04duwYpFKpTmNHRUWhQ4cOiImJwZw5cyASifD2229j165dGDBgQLnt3dzc4Obmhm+//RZ37tzRKQYAiI6OhouLS4US0ffeew8pKSmYP38++vXrB7lcDjs7O/j6+mLGjBk1bk15ReM1NjbG0aNHsWDBAsycORM3b96EmZkZevbsiZSUFLRv3/41nQkRERHR6ydSlLZvJNUq69atQ3BwcIUeptWWg4MDgoODdZr1r6x4k5KS0LNnTzx48EDnLU7LIpfLYW5ujry8PJ13WSIiIqqtHKbv1blt5sL+lRiJdur693eNXIpD2svLy4NYLK7yH5wq2Y9f21/GfVVF43V1dYWXl1eFYiAiIiLSJ5yx1wP//vsv/v77bwBA48aNhR2DqkJubi5yc3MBvNhr39zcXOs+KiPemzdvCg8nt27dWuVHrSqqrt/xExFR3cYZ+9qpRq6xJ+2YmZnBzMzstYxVkf34S1RGvOXtskNERERU13ApDhERERGRHmBiT0RERESkB5jYExERERHpAa6xJyIiIiIl1fkALOmOM/ZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHuB2l0RERER1hMP0vRrV43aXtRNn7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDNS6xl0qlEIlEEIlESE1NfW1t6xIHBwfhOj18+FDr9uvWrRPaBwcHV3p8RERERKS9GpfYA8C4ceOQnZ2N9u3bIzMzs8xEXSqVKiWWO3bswOnTpys8fm5uLoKDg+Hg4ABDQ0NYWVnhs88+w61bt1Tq3r59G2PHjoW1tTUMDQ1hb2+PoKAg5OTkVDiOqhQWFobs7GyYm5sLZcXFxVi6dCk6dOgAY2NjNG7cGF5eXvjll1+U2g4bNgzZ2dlwd3dX6ffXX39Fv3790KRJExgbG+PNN99EZGQkiouLdY41KSmpzJsQBwcHREVFAXjxuU2cOBFvvPEGGjZsCDs7O0yaNAl5eXk6j01ERERUW9TIxL5hw4aQSCQwMDDQqp2FhQWaN2+uts66desglUrLPJ6bm4t3330Xhw8fRnR0NK5du4bNmzfj+vXr6Ny5M27cuCHUvXHjBtzc3JCRkYGEhARcu3YNK1euxJEjR+Du7o7c3FyNY8/OzsazZ880rv+yhw8fQi6Xa9XGzMwMEokEIpEIAKBQKCCTyRAWFoZJkybh8uXLOH78OGxtbSGVSrFr1y6hrYmJCSQSCQwNDZX63LlzJ3r06IGWLVvi2LFjSE9PR1BQEMLDwyGTyaBQKEqNpeTmraLu3r2Lu3fvYsmSJbh48SLWrVuHn3/+GWPHjq1w30REREQ1nXaZcx0wa9Ys3L17F9euXYNEIgEA2NnZ4cCBA3B2dsaECROwf/9+AMCECRNgaGiIgwcPwsTERKjbqVMnODo6YtasWYiJiSlzrKdPn2L37t2IjY3FwYMHkZOTozSDrqkLFy7Ay8sLgwcPhq+vL3r16oV69bS7Z9uyZQu2bduGxMREDBgwQChfvXo1cnJy4O/vD09PT5iampba/vHjxxg3bhwGDhyI1atXC+X+/v5o0aIFBg4ciC1btmDYsGFan5+m2rdvj+3btwvvHR0dER4ejpEjR+LZs2da3ygSERER1SY1csa+ujx//hybNm3CiBEjhKS+hImJCcaPH48DBw4gNzcXubm5OHDgAMaPHy8k9SUkEglGjBiBzZs3lzpLferUKQQGBsLKygohISFwdXVFamqqUlIvFovVvry8vIS63bt3x/79+2FkZIShQ4fC3t4eM2fOxJUrVzQ+940bN8LFxUUpqS8xZcoU5OTk4NChQ2W2L7kxCQ0NVTk2YMAAuLi4ICEhQeN4KkteXh4aNWpUblJfUFAAuVyu9CIiIiKqTWrNFKaHh4fKLHR+fj46duxYaWPcv38fDx8+RNu2bUs93rZtWygUCly7dg0KhQIKhUJt3QcPHuD+/fuwtLTEnTt3sH79esTGxuLOnTv4+OOPsXnzZvTu3bvU2fXyHv59+WZCJBKhR48e6NGjB1asWIFdu3Zh/fr1WLx4Md555x34+vri008/VfvXgIyMDLXnUlJHXfuX676qTZs2attromXLliplT548KbN+Tk4OvvrqKwQEBJTb94IFCzB//vwKxUdERERUnWpNYr9582aVpHHEiBHltrt16xbatWsnvH/27BmKioogFouFspEjR2LlypXl9lUy+y4SicpcL15aXQCYPXs2YmNjMXjwYJw6dQoWFhZq2zs5OZUbT2lMTEwwfPhwDB8+HBkZGRg+fDjGjx+PgoKCCu9go8k6+LKui0KhUGrv6uqKmzdvKrV5+TOxt7fHpUuXlPpITk6GmZmZUllZz0vI5XL0798f7dq1w9y5c8uNe8aMGQgJCVFqb2trW247IiIiopqi1iT2tra2Ksnuq0tgSmNtba00+71jxw5s374d8fHxQlmjRo0AAM2bN0fjxo2RlpZWal/p6ekQiURwdHQUEtW0tDR4e3uXWrdJkyZo1qwZgBeJvZWVFTZs2AAXFxfIZDKMGjUKXbt2LXWsl5Pc0nTr1k1Y6/+yZ8+e4dChQ1i/fj12796N1q1bY9GiReXeBLm4uJR53pcvXwYAODs7q21fUtfDw0PleHp6utIN1r59+1BUVAQAyMrKglQqVfqcGjRooNJHq1at0LhxY6Wy0pbY/Pvvv/jwww8hFouxc+fOUvt6lZGREYyMjMqtR0RERFRT1ZrEXlcGBgZKNwSWlpYwMTEpdUa8Xr168PHxQXx8PMLCwpTW2efn5yM6Ohp9+/YVZts9PT0RHR2NyZMnK91k3Lt3D/Hx8Rg9erQwS+3k5IQFCxYgPDwchw8fRmxsLHr27ImWLVti1KhRGDlyJFq1aiX0oc1SHAA4f/481q9fj4SEBDx79gzDhw/HiRMn4ObmptF1kslk+PTTT/HTTz+prLOPjIxE06ZN4enpWWb7Pn36wMLCApGRkSqJfWJiIq5evYqvvvpKKLO3txf+uyQ51/WvFC+Ty+Xo27cvjIyMkJiYCGNj4wr3SURERFQb8OHZV4SHh0MikcDT0xP79+/H7du3ceLECfTt2xdFRUX4/vvvhborVqxAQUEB+vbtixMnTuD27dv4+eef4enpCRsbG4SHh6v0X69ePfTp0wfx8fG4d+8evvzySxw8eBBOTk5KD2w6OTmpfdnY2Ah1k5OT0bVrV9y4cQPR0dG4e/cuvvvuO42TeuBFYv/xxx/D19cXa9euRWZmJv744w8EBAQgMTERa9asKXNHHAAwNTXFqlWrsHv3bnz++ef4448/kJmZibVr18LPzw9Dhw6Fj4+PxvHo4t9//0WfPn3w+PFjrF27FnK5HPfu3cO9e/cqtI8+ERERUW2g9zP22mrWrBlSUlIQFhaGgIAAZGdno2nTpvjwww8RFxcHOzs7oa6zszPOnj2LefPmYdiwYcjJyYFEIoG3tzfmzp1b7jr6Ro0awd/fH/7+/rh+/bpGS4tK065dO2RlZZW7h786IpEIW7ZswbJly7B06VJMmDABRkZGcHd3x7Fjx/D++++X28fQoUNx7NgxREREoHv37sjPz4eTkxNmzZqF4ODgStmrXp1z587ht99+A6A6+//XX3/BwcGhSscnIiIiqk4iRXlPgb5mUqkUHTt2FH5NVFuZmZlo1aoVzp8/X6k75ugTBwcHBAcHV/hh2op+VjWZXC6Hubm5sF0mERGRPnCYvlejepkL+1dxJFWjrn9/18ilONHR0RCLxbh48aJW7by8vODq6lpFUemXadOmQSwWIy8vT+u28fHxEIvFSE5OroLIiIiIiEgXNW4pTnx8PPLz8wFAadmLJtasWaNz27rk+PHjwo40r24fqYmBAwcKu/m8uksNEREREVWPGpfYv/xQ6OtsW5e8vCONLszMzHS6ISAiIiKiqlMjl+IQEREREZF2mNgTEREREekBJvZERERERHqgxq2xJyIiIqKqUVu3sSTNcMaeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gPc7pKIiIiojnKYvrfUcm6LWTtxxp6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9UCMTe6lUCpFIBJFIhNTUVK3aJiUlCW29vb2rJL7azMHBQbg+Dx8+fO3tgYp9vtqqjHiJiIiIaoMamdgDwLhx45CdnY327dsLZbGxsejSpQtMTU1hZmaG7t27Y8+ePUrtPDw8kJ2dDR8fnwqNLxKJsGvXLpVyPz8/pRuGBQsWoHPnzjAzM4OlpSW8vb1x5cqVCo1d1cLCwpCdnQ1zc3MA/+9mqLTE18HBAVFRUcL7M2fOYPv27RWOobTPF9DsM66OeImIiIhquhqb2Dds2BASiQQGBgYAgNDQUAQEBMDHxwcXLlzA6dOn0a1bNwwaNAgrVqwQ2hkaGkIikcDExERt/w4ODkhKSqpwnMePH8eECROQkpKCQ4cO4dmzZ+jTpw8eP36scR/Z2dl49uyZTuM/fPgQcrlcqzZmZmaQSCQQiURaj9e8eXNYWFiorTNv3jz4+fmprfPq5wto/hlXdrxERERE+sCg/CrVLyUlBZGRkVi+fDkmTpwolIeHh+Pp06cICQnBoEGDYGtr+9pj+/nnn5Xe//jjj7C0tMS5c+fQvXv3Mts9ffoUu3fvRmxsLA4ePIicnBxhBl0bFy5cgJeXFwYPHgxfX1/06tUL9erV2Pu1MtXkz5iIiIioNqgVGWBCQgLEYjECAgJUjk2ZMgVFRUU1ZrlFXl4eAJQ5S3zq1CkEBgbCysoKISEhcHV1RWpqqlJSLxaL1b68vLyEut27d8f+/fthZGSEoUOHwt7eHjNnzqzxy4FeVd2fcUFBAeRyudKLiIiIqDapFTP2GRkZcHR0hKGhocoxa2trmJubIyMjo9LHHT58OOrXr69UVlBQgP79+5daX6FQICQkBO+//77S2vE7d+5g/fr1iI2NxZ07d/Dxxx9j8+bN6N27d6mz6+U9UPryMiORSIQePXqgR48eWLFiBXbt2oX169dj8eLFeOedd+Dr64tPP/1Uo78GtGzZUqXsyZMn5barDLp8xpUZ74IFCzB//nyd2hIRERHVBLUisS+PQqEod714YGAg4uLihPdPnjyBl5eXUuKelpYGOzs74f3SpUvRu3dvpX6mTZuG4uLiUsf44osv8Mcff+DkyZNK5bNnz0ZsbCwGDx6MU6dOlbvm28nJSe3xspiYmGD48OEYPnw4MjIyMHz4cIwfPx4FBQUIDg4ut31ycjLMzMyUyqRSqUbtXv4rQmFhIRQKBbZt2yaUzZw5EzNnztT4XF5V2mesa7ylmTFjBkJCQoT3crmcy36IiIioVqkVib2LiwtOnjyJwsJClRndu3fvQi6Xw9nZWW0fYWFhCA0NFd5LpVIsWrQIXbt2Fcqsra2V2kgkEpUk28zMrNTdWCZOnIjExEScOHFCZSZ59uzZsLKywoYNG+Di4gKZTIZRo0Ypjf0ysVis9ly6deuG/fv3q5Q/e/YMhw4dwvr167F79260bt0aixYtwogRI9T2V6JVq1Zo3LixUtnLD7eWxc3NTemvDMuXL0dWVhYWLVoklJV3M6PLZ6xrvKUxMjKCkZGRTm2JiIiIaoJakdjLZDIsX74cq1atUnqwEgCWLFmCBg0aYMiQIWr7sLS0hKWlpfDewMAANjY2Os+Ol1AoFJg4cSJ27tyJpKQktGrVSqWOk5MTFixYgPDwcBw+fBixsbHo2bMnWrZsiVGjRmHkyJFK7bRZigMA58+fx/r165GQkIBnz55h+PDhOHHiBNzc3Cp0bpoyMTFRuo4WFhaQy+VaXdvK+IyJiIiI6rJakdi7u7sjKCgIU6dORWFhIby9vVFUVIS4uDgsW7YMUVFR1bZsYsKECdi4cSN2794NMzMz3Lt3DwBgbm6ukoDXq1cPffr0QZ8+fSCXy7FlyxbExsZi3rx5ePDgARo1agRAu6U4ycnJ6NWrF7y8vBAdHY2PPvqo1HXqNV1N/oyJiIiIaoNakdgDQFRUFDp06ICYmBjMmTMHIpEIb7/9Nnbt2oUBAwZUW1wxMTEAVNd2//jjj2r3cm/UqBH8/f3h7++P69evl7vvflnatWuHrKwsNG/eXKf2NUlN/YyJiIiIaoNak9gDwJgxYzBmzJhK6SszM1PtcYVCUWr5unXrNKqnDUdHR53bNm3atMLjS6XSMs+jvOtUmnnz5ukciyafcWXHS0RERKQPauw+9tHR0RCLxbh48aJW7ZKTkyEWixEfH19FkdV+06ZNg1gsFvbc14arq6vSDji60vXz1VZlxUtERERU09XIGfv4+Hjk5+cDgNL2k5p4eYeW8naXqYuOHz+OoqIiAFDZKlIT+/btE9qXPBOgrYp8vtqqjHiJiIiIaoMamdjb2Njo3PbVHVpImb29fbW2Byr2+WqrMuIlIiIiqg1q7FIcIiIiIiLSHBN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDNfLhWSIiIiKqepkL+1d3CFSJOGNPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAe4Kw4RERERKXGYvlfpPXfPqR04Y09EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEe0Cqxl0qlEIlEEIlESE1N1WqgpKQkoa23t7dWbUtkZmYKfXTs2FGnPvz8/IQ+du3apVMfpLvK+Aw1VRn/5oiIiIhqC61n7MeNG4fs7Gy0b99eKIuNjUWXLl1gamoKMzMzdO/eHXv27FFq5+HhgezsbPj4+FQ46MOHD+PIkSNKZbm5uQgODoaDgwMMDQ1hZWWFzz77DLdu3VKqt2zZMmRnZ5farybnUdMUFxdj6dKl6NChA4yNjdG4cWN4eXnhl19+qXDft2/fxtixY2FtbQ1DQ0PY29sjKCgIOTk5Fe67Ip+hn59fqYl6SSL/8OFDAJX7b46IiIioptM6sW/YsCEkEgkMDAwAAKGhoQgICICPjw8uXLiA06dPo1u3bhg0aBBWrFghtDM0NIREIoGJiYna/h0cHJCUlKS2TtOmTdG0aVPhfW5uLt59910cPnwY0dHRuHbtGjZv3ozr16+jc+fOuHHjhlDX3NwcEolEpU9Nz6M8z58/R1ZWlsb1X/VqEquOQqGATCZDWFgYJk2ahMuXL+P48eOwtbWFVCqt0F8kbty4ATc3N2RkZCAhIQHXrl3DypUrceTIEbi7uyM3N7fMtlX9GWpK039zRERERPrAoCKNU1JSEBkZieXLl2PixIlCeXh4OJ4+fYqQkBAMGjQItra2FQ5UnVmzZuHu3bu4du2akLTb2dnhwIEDcHZ2xoQJE7B///4qPY/09HTExsZiw4YN+OSTT7B06VKdzsXX1xf379+Hr68vRo4cCSsrqzLrbtmyBdu2bUNiYiIGDBgglK9evRo5OTnw9/eHp6cnTE1NtY5jwoQJMDQ0xMGDB4XE2M7ODp06dYKjoyNmzZqFmJgY7U+wDBX9DImIiIjqugo9PJuQkACxWIyAgACVY1OmTEFRURG2b99ekSHK9fz5c2zatAkjRoxQmYk3MTHB+PHjceDAAbUzzLqex4MHDxATE4N3330X7du3x7lz57Bw4UKEh4cLdSIiIiAWi9W+kpOThfpbtmzB559/js2bN8PW1hb9+vXD5s2b8fTpU5XxN27cCBcXF6Wk/uW4c3JycOjQIQBAcnJyuXFEREQAeDF7fuDAAYwfP15ltlsikWDEiBHYvHkzFApFmddUG5XxGVZUQUEB5HK50ouIiIioNqnQjH1GRgYcHR1haGiocsza2hrm5ubIyMioyBDlun//Ph4+fIi2bduWerxt27ZQKBS4du0aunTpUmodbc7j+fPn2L9/P2JjY5GYmAgXFxeMGjUKO3fuLHV2PTAwsNw13jY2NsJ/N2/eHJMmTRKW1sTGxiI0NBSBgYEYNmwY/Pz88O677wpxqzvvkjoA4ObmVu4DzxYWFgCAq1evQqFQqO37wYMHuH//PiwtLdX2qQldPsM9e/ZALBYr1SsuLtY5hgULFmD+/Pk6tyciIiKqbhVK7MujUCggEonU1gkMDERcXJzw/smTJ/Dy8kL9+vWFsrS0NNjZ2ekcA4By4yivj5L2t27dwkcffYQmTZpg48aNGDx4sNq2FhYWQsKsrbZt22LhwoWIiIjAkiVLMHv2bGzatEl4OFQTJXGbmJjAyclJpzhe9eo1rY7PsGfPnipLgX777TeMHDlSpzFmzJiBkJAQ4b1cLq/yJWRERERElalCS3FcXFxw/fp1FBYWqhy7e/cu5HI5nJ2d1fYRFhaG1NRU4WVtbY01a9aolJWlefPmaNy4MdLS0ko9np6eDpFIBEdHx0o5j5YtWyIhIQFdu3bFsGHD0K1bN/zwww9lJtvaLsV52e3bt7Fw4UK8+eabmDdvHj755BNs27ZNKe6yzvvy5csAIMStzVIcJycniEQitde0SZMmaNasGYDq+QxNTU3h5OSk9Hr5Lx/aMjIyQqNGjZReRERERLVJhWbsZTIZli9fjlWrVik9dAoAS5YsQYMGDTBkyBC1fVhaWiot5zAwMICNjY3Gs8v16tWDj48P4uPjERYWprRGOz8/H9HR0ejbt6/aWXNtzsPAwAAymQwymQzZ2dnYsGEDoqKiMHHiRAwYMACjRo2Cl5cXGjRoAED7pTj//vsvtm/fjg0bNiApKQkeHh6YPHkyfHx8VJJNmUyGTz/9FD/99JPKOvvIyEg0bdoUnp6eALRbilPSLjo6GpMnT1ZaZ3/v3j3Ex8dj9OjRwgx6TfgMiYiIiOq6CiX27u7uCAoKwtSpU1FYWAhvb28UFRUhLi4Oy5YtQ1RU1GtZzhAeHo4jR47A09MT33zzDdq3b4+//voLs2fPRlFREb7//vsqOQ8rKyt8+eWX+PLLL3H27FmsW7cOY8aMga+vLyIjIwFovxTH29sbN27cwKhRo7B69Wq1f2mQyWTYunUrfH19sXjxYvTq1QtyuRzff/89EhMTsXXrVmFHHG2X4qxYsQIeHh7o27cvvv76a7Rq1QqXLl3C1KlTYWNjo/SAcGWo6GdIREREVNdVeI19VFQUOnTogJiYGMyZMwcikQhvv/02du3aVepuLVWhWbNmSElJQVhYGAICApCdnY2mTZviww8/RFxcnEZruyt6Hm5ubnBzc8O3336LO3fu6Hwu0dHRcHFx0eiZAJFIhC1btmDZsmVYunQpJkyYACMjI7i7u+PYsWN4//33dY7D2dkZZ8+exbx58zBs2DDk5ORAIpHA29sbc+fOrfTZ88r4DImIiIjqMpFCiz0LpVIpOnbsiKioKJ0H9PPzw8OHD3X68aTMzEy0atUK58+fR8eOHXWOAXiRFO/cubPUXzClqlOZn6GmdPk3J5fLYW5ujry8PK63JyKiOsdh+l6l95kL+1dTJNqp69/fWj88Gx0dDbFYjIsXL2rVruThzfj4eG2HVOHh4QEPDw+d2gYGBqpsk0ivX0U+Q01V5r85IiIioppOqxn7rKws5OfnA3jxq6Cl7ftelvz8fGRlZQEAxGKxyg8RaeLZs2fIzMwE8GIXE13W7//vf/8TfnzIyspKp19lJd1VxmeoqYr8m6vrd/xERFS3cca+dtJqjX1FthOsjH3UDQwMKtzHqzu40OtVGZ+hpipz734iIiKimq5C+9gTEREREVHNwMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPRAhX+gioiIiIj0S23ZBYeUccaeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPSA3if2UqkUIpEIIpEIqampWrVNSkoS2np7e+s0fmZmptBHx44ddepDU5URb1VzcHAQYnz48KHW7detWye0Dw4OrvT4iIiIiGorvU/sAWDcuHHIzs5G+/bthbLY2Fh06dIFpqamMDMzQ/fu3bFnzx6ldh4eHsjOzoaPj0+FYzh8+DCOHDmiVJabm4vg4GA4ODjA0NAQVlZW+Oyzz3Dr1i2len5+fqUm6iWJfEmCXJnxVqWwsDBkZ2fD3NxcKCsuLsbSpUvRoUMHGBsbo3HjxvDy8sIvv/yi1HbYsGHIzs6Gu7u7Sr+//vor+vXrhyZNmsDY2BhvvvkmIiMjUVxcXOXnRERERFTd6kRi37BhQ0gkEhgYGAAAQkNDERAQAB8fH1y4cAGnT59Gt27dMGjQIKxYsUJoZ2hoCIlEAhMTE7X9Ozg4ICkpSW2dpk2bomnTpsL73NxcvPvuuzh8+DCio6Nx7do1bN68GdevX0fnzp1x48YNrc9T03hflZ2djWfPnmk9HgA8fPgQcrlcqzZmZmaQSCQQiUQAAIVCAZlMhrCwMEyaNAmXL1/G8ePHYWtrC6lUil27dgltTUxMIJFIYGhoqNTnzp070aNHD7Rs2RLHjh1Deno6goKCEB4eDplMBoVCodP5EREREdUWBtUdwOuWkpKCyMhILF++HBMnThTKw8PD8fTpU4SEhGDQoEGwtbWt0jhmzZqFu3fv4tq1a5BIJAAAOzs7HDhwAM7OzpgwYQL2799fZeM/ffoUu3fvRmxsLA4ePIicnBylGXRNXbhwAV5eXhg8eDB8fX3Rq1cv1Kun3f3ili1bsG3bNiQmJmLAgAFC+erVq5GTkwN/f394enrC1NS01PaPHz/GuHHjMHDgQKxevVoo9/f3R4sWLTBw4EBs2bIFw4YNKzOGgoICFBQUCO+1vVkhIiIiqm51Ysb+ZQkJCRCLxQgICFA5NmXKFBQVFWH79u1VGsPz58+xadMmjBgxQkjqS5iYmGD8+PE4cOAAcnNzK33sU6dOITAwEFZWVggJCYGrqytSU1OVknqxWKz25eXlJdTt3r079u/fDyMjIwwdOhT29vaYOXMmrly5onFMGzduhIuLi1JSX2LKlCnIycnBoUOHymxfcmMSGhqqcmzAgAFwcXFBQkKC2hgWLFgAc3Nz4VXVN3ZEREREla3OzdhnZGTA0dFRZSkHAFhbW8Pc3BwZGRlVGsP9+/fx8OFDtG3bttTjbdu2hUKhwLVr19ClSxcAwJ49eyAWi5Xqabp2/M6dO1i/fj1iY2Nx584dfPzxx9i8eTN69+5d6ux6eQ8Zv7zURyQSoUePHujRowdWrFiBXbt2Yf369Vi8eDHeeecd+Pr64tNPP1X714CMjAy116Kkjrr2L9d9VZs2bcr9TGfMmIGQkBDhvVwuZ3JPREREtUqdS+zLo1AohLXfZQkMDERcXJzw/smTJ/Dy8kL9+vWFsrS0NNjZ2ekcAwClOHr27ImYmBiler/99htGjhxZbn+zZ89GbGwsBg8ejFOnTsHCwkJtfScnJx2ifpHwDx8+HMOHD0dGRgaGDx+O8ePHo6CgoMI72JT3mQAocx29Jp+pkZERjIyMdIqNiIiIqCaoc4m9i4sLTp48icLCQpVZ+7t370Iul8PZ2VltH2FhYUrLPqRSKRYtWoSuXbsKZdbW1mW2b968ORo3boy0tLRSj6enp0MkEsHR0VEoMzU1VUm479y5ozbOErNnz4aVlRU2bNgAFxcXyGQyjBo1Sinel736l4FXdevWrdT1/8+ePcOhQ4ewfv167N69G61bt8aiRYswYsQItf25uLiUeS0uX74MAGo/ExcXF6Guh4eHyvH09HS0a9dObQxEREREtV2dW2Mvk8nw6NEjrFq1SuXYkiVL0KBBAwwZMkRtH5aWlnBychJeBgYGsLGxUSkrS7169eDj44ONGzfi3r17Ssfy8/MRHR2Nvn37ljuzriknJycsWLAAt27dwsaNG/HgwQP07NkTLi4u+Oqrr/DXX38p1U9NTVX7WrNmjVL98+fPY/LkyWjZsiVGjRqFZs2a4cSJE/jzzz/x5Zdfonnz5mrjk8lkuHr1Kn766SeVY5GRkWjatCk8PT3LbN+nTx9YWFggMjJS5VhiYiKuXr2K4cOHq42BiIiIqLarczP27u7uCAoKwtSpU1FYWAhvb28UFRUhLi4Oy5YtQ1RU1GtZWx0eHo4jR47A09MT33zzDdq3b4+//voLs2fPRlFREb7//vtKH7NevXro06cP+vTpA7lcji1btiA2Nhbz5s3DgwcP0KhRIwDaLcVJTk5Gr1694OXlhejoaHz00UelPr+gjkwmw9atW+Hr64vFixejV69ekMvl+P7775GYmIitW7eWuSMO8OKvGatWrYJMJsPnn3+OL774Ao0aNcKRI0cwdepUDB06tMbv7U9ERERUUXUusQeAqKgodOjQATExMZgzZw5EIhHefvtt7Nq1q9SdWapCs2bNkJKSgrCwMAQEBCA7OxtNmzbFhx9+iLi4OJ3X52uqUaNG8Pf3h7+/P65fv6713vcl2rVrh6ysrHJn5dURiUTYsmULli1bhqVLl2LChAkwMjKCu7s7jh07hvfff7/cPoYOHYpjx44hIiIC3bt3R35+PpycnDBr1iwEBwdrtEafiIiIqDark4k9AIwZMwZjxoyplL4yMzN1atesWTMsX74cy5cvV1tv3bp1pZZLpdJK+eGll9fya+vlH92qCAMDA0yZMgVTpkzRuY+y1v4TERER1QV1Yo19dHQ0xGIxLl68qFW75ORkiMVixMfHVzgGDw+PUh/srEyVGW9VmjZtGsRiMfLy8rRuGx8fD7FYjOTk5CqIjIiIiKj2EikqY8q3BsvKykJ+fj6AF7/sqs367/z8fGRlZQF4sVPMqz8mpYlnz54JM/pGRkZVun6/MuKtajdv3kRRUREAoHXr1lr/Su2///6Lv//+GwDQuHFjNGvWrNJjBF7sY29ubo68vDzh2QMiIiKq2er697feJ/ZEuqjr/8dARERUG9X17+86sRSHiIiIiEjfMbEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9IBBdQdAVBMpFAoAgFwur+ZIiIiISFMl39sl3+N1DRN7olLk5OQAAGxtbas5EiIiItJWTk4OzM3NqzuM146JPVEpLCwsAAC3bt2qk//HQEREVBvl5eXBzs5O+B6va5jYE5WiXr0Xj5+Ym5ujUaNG1RwNERERaaPke7yuqZtnTURERESkZ5jYExERERHpASb2RKUwMjLC3LlzYWRkVN2hEBERkYbq+ve3SFFX9wMiIiIiItIjnLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7InqkI8//hhNmjTB0KFDqzsUIiIiesXt27chlUrRrl07dOjQAVu3btWqPbe7JKpDjh07hkePHiE2Nhbbtm2r7nCIiIjoJdnZ2fj777/RsWNH/O9//8Pbb7+NK1euwNTUVKP2nLEnqkN69uwJMzOz6g6DiIiISmFlZYWOHTsCACwtLWFhYYHc3FyN2zOxpyp14sQJDBgwANbW1hCJRNi1a1e5bZ49e4bZs2ejVatWMDExQevWrREWFobnz58r1YuOjkarVq1gbGyMd955B8nJySp9lVcnJiYGHTp0QKNGjdCoUSO4u7tj//79SnWysrIwcuRING3aFA0bNkTHjh1x7tw57S+GGppeJ03OmYiISBvafldr8j3t4OAAkUik8powYYJW/WgSm6Z5Q0VpEktlfk+fPXsWz58/h62trcZtmNhTlXr8+DHeeustrFixQuM2ixYtwsqVK7FixQpcvnwZ33zzDRYvXozvvvtOqLN582YEBwdj1qxZOH/+PLp16wYvLy/cunVLqzotW7bEwoULcfbsWZw9exYffPABBg0ahEuXLgEAHjx4gPfeew8NGjTA/v37kZaWhsjISDRu3LjM+H/55RcUFRWplKenp+PevXs6XydNzuedd95B+/btVV53794ts18iIqrbtP2u1uR7+syZM8jOzhZehw4dAgB88sknWvWjSWya9PMyXb6nNYmlMr+nc3JyMHr0aKxevbrMeEqlIHpNACh27txZbr3+/fsrxowZo1Q2ePBgxciRI4X3Xbp0UQQGBirVadOmjWL69Ola1SlNkyZNFGvWrFEoFArFtGnTFO+//365MZcoLi5WvPXWW4qhQ4cqnj17JpRfuXJFIZFIFIsWLSq3j7Kuk67n86pjx44phgwZolUbIiKqGzT5rtbke/pVQUFBCkdHR8Xz58917qes2LTppzK+p8uKpbK+p58+faro1q2bYv369Vq1UygUCs7YU43z/vvv48iRI8jIyAAAXLhwASdPnkS/fv0AAIWFhTh37hz69Omj1K5Pnz749ddfNa7zquLiYmzatAmPHz+Gu7s7ACAxMRFubm745JNPYGlpiU6dOuGHH34oM/Z69eph3759OH/+PEaPHo3nz5/j+vXr+OCDDzBw4EB8+eWXOl0TXc6HiIioKpT3Pf2qwsJCxMXFYcyYMRCJRDr3Uxnx1PTvaYVCAT8/P3zwwQcYNWqU1nEYaN2CqIpNmzYNeXl5aNOmDerXr4/i4mKEh4dj+PDhAIB//vkHxcXFaNGihVK7Fi1aCH9C06ROiYsXL8Ld3R1Pnz6FWCzGzp070a5dOwDAjRs3EBMTg5CQEMycOROnT5/GpEmTYGRkhNGjR5cav7W1NY4ePYru3bvj008/xalTp9CrVy+sXLlS52uizfmo07dvX/z+++94/PgxWrZsiZ07d6Jz5846x0VERHVPed/Tr9q1axcePnwIPz+/CvVTWfHU5O/pX375BZs3b0aHDh2ENfwbNmzAm2++qVF7JvaktXnz5mH+/Plq65w5cwZubm469b9582bExcVh48aNcHV1RWpqKoKDg2FtbQ1fX1+h3st3/cCLu9xXyzSp88YbbyA1NRUPHz7E9u3b4evri+PHj6Ndu3Z4/vw53NzcEBERAQDo1KkTLl26hJiYmDITewCws7PD+vXr0aNHD7Ru3Rpr165VGVcXmpyPOgcOHKhwDEREVLdp+j1dYu3atfDy8oK1tXWF+qmseICa+z39/vvvV+ihXyb2pLUvvvgCMplMbR0HBwed+586dSqmT58ujPHmm2/i5s2bWLBgAXx9fdGsWTPUr19f5Q74f//7n3CnrEmdEoaGhnBycgIAuLm54cyZM1i2bBlWrVoFKysrYfa+RNu2bbF9+3a15/D333/j888/x4ABA3DmzBlMnjy5zId4NKHN+RAREVWl8r6nX3bz5k0cPnwYO3bsqFA/lRVPCX39nuYae9Jas2bN0KZNG7UvY2Njnft/8uQJ6tVT/qdZv3594Q7W0NAQ77zzjvCEfYlDhw7Bw8ND4zplUSgUKCgoAAC89957uHLlitLxjIwM2Nvbl9n+n3/+Qa9evdC2bVvs2LEDR48exZYtWxAaGqp2XHUqcj5ERESVqbzv6Zf9+OOPsLS0RP/+/SvUT2XFA+j597TWj9sSaeHff/9VnD9/XnH+/HkFAMW3336rOH/+vOLmzZtCne+++07xwQcfCO99fX0VNjY2ij179ij++usvxY4dOxTNmjVTfPnll0KdTZs2KRo0aKBYu3atIi0tTREcHKwwNTVVZGZmalVnxowZihMnTij++usvxR9//KGYOXOmol69eoqDBw8qFAqF4vTp0woDAwNFeHi44urVq4r4+HhFw4YNFXFxcaWeb3FxseKdd95R9OvXT1FQUCCU//HHH4qmTZsqvv32W52vkybnQ0REpK3yvoN0+Z5WKF58J9rZ2SmmTZtW6ria9KPJ96Om8ZTEpMv3tCax1ITvaSb2VKWOHTumAKDy8vX1FerMnTtXYW9vL7yXy+WKoKAghZ2dncLY2FjRunVrxaxZs5T+B6hQKBTff/+9wt7eXmFoaKh4++23FcePH1cZv7w6Y8aMEY43b95c0atXLyGpL/HTTz8p2rdvrzAyMlK0adNGsXr1arXnfPDgQUV+fr5K+fnz5xW3bt3S+Tppes5ERETaKO87SNfv6QMHDigAKK5cuVLquJr0o8n3o6bxlNDle1rTWKr7e1qkUCgUr+EPA0REREREVIW4xp6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIqqlpFIpgoODtWqTlJQEkUiEhw8fVnj8efPmoWPHjhXu51Vr165Fnz59hPd+fn4QiUQQiUTYtWtXpY8HvLiWJWOkpqYCAPbs2YNOnTrh+fPnWve3bt06NG7cWKW8e/fu2LhxYwWjVfVqvxW5Vg4ODoiKigIAFBQUwM7ODufOnVOqExoaikmTJukaLhFVESb2RER6RiqVYuXKlRrVLSsB1UVlJPoFBQX4z3/+gzlz5iiVf/jhh8jOzoaXl5dQVlby6ufnB29vb+H9ggUL0LlzZ5iZmcHS0hLe3t64cuWKUpsdO3bg9OnTSmUfffQRRCJRmYl4q1at8PPPP2t8bnv27MG9e/cgk8mEspeTaF2V1m9FnDlzBp9//jkAwMjICKGhoZg2bZpSnS+//BI//vgj/vrrr0oZk4gqBxN7IiI9kpubi19//RUDBgyo7lB0sn37dojFYnTr1k2p3MjICBKJBEZGRlr3efz4cUyYMAEpKSk4dOgQnj17hj59+uDx48dCHQsLCzRv3lyl7WeffYbvvvtOpfyPP/5ATk4OevbsqXEcy5cvx2effYZ69Sr3q7ey+23evDkaNmwovB8xYgSSk5Nx+fJloczS0hJ9+vTR+AaSiF4PJvZERLXA48ePMXr0aIjFYlhZWSEyMrLUenv37sVbb70FGxsbAMC+ffvg4uICExMT9OzZE5mZmULdpKQkfPbZZ8jLyxOWocybN6/MGBYuXIgWLVrAzMwMY8eOxdOnT7U6BwcHB0RERGDMmDEwMzODnZ0dVq9erVRn06ZNGDhwoFb9lufnn3+Gn58fXF1d8dZbb+HHH3/ErVu3VJaXlGbgwIE4ffo0bty4oVS+e/du9O3bV7jRWLduHezs7NCwYUN8/PHHyMnJUar/zz//4PDhw1qdW8myqSNHjsDNzQ0NGzaEh4eH0l8bNO03LCwMLVq0EJYZqfPqXxGaNm0KDw8PJCQkKNUbOHCgShkRVS8m9kREtcDUqVNx7Ngx7Ny5EwcPHkRSUlKpiWliYiIGDRoEALh9+zYGDx6Mfv36ITU1Ff7+/pg+fbpQ18PDA1FRUWjUqBGys7ORnZ2N0NDQUsffsmUL5s6di/DwcJw9exZWVlaIjo7W+jwiIyPh5uaG8+fPY/z48fi///s/pKenC8eTk5Ph5uamdb/ayMvLA/Bilr489vb2sLS0RHJyslL5y9f5t99+w5gxYzB+/HikpqaiZ8+e+Prrr5Xqnzx5Eg0bNkTbtm21jnfWrFmIjIzE2bNnYWBggDFjxmjcr0KhQFBQENauXYuTJ0/qvFSqS5cuKtegS5cuuH37Nm7evKlTn0RU+QyqOwAiIlLv0aNHWLt2LdavXw9PT08AQGxsLFq2bKlUr6CgAAcOHMB//vMfAEBMTAxat26NpUuXQiQS4Y033sDFixexaNEiAIChoSHMzc0hEokgkUjUxhAVFYUxY8bA398fAPD111/j8OHDWs/a9+vXD+PHjwcATJs2DUuXLkVSUhLatGmDhw8f4uHDh7C2tta4v+HDh6N+/fpKZQUFBejfv3+p9RUKBUJCQvD++++jffv2Go1hY2Oj9JeOrKwsXLhwAf369QMALFu2DH379hVumlxcXPDrr78qrb/PzMxEixYtdFouEx4ejh49egAApk+fjv79++Pp06cwNjZW2++zZ88wevRonD17Fr/88ovKvxdtvHoNSsqAF+dmb2+vc99EVHk4Y09EVMNdv34dhYWFcHd3F8osLCzwxhtvKNU7evQomjZtijfffBMAcPnyZbz77rsQiURCnZf70Mbly5dV2urSV4cOHYT/Lrmh+N///gcAyM/PBwAYGxtr3N/SpUuRmpqq9FK3LOWLL77AH3/8odUSEhMTEzx58kR4n5iYiPfee0+Y8dfk2uTn52t1Xi97+ZpZWVkBgNI1K6vfyZMn49SpU0hOTq5QUg+oXoOSMgAq5URUfZjYExHVcAqFQqN6Ly8P0abd69SgQQOl9yKRSNhOsmnTphCJRHjw4IHG/UkkEjg5OSm9zMzMSq07ceJEJCYm4tixY1olurm5uUoP1upynZs1a6bVeb3s5WtWcpNWcs3U9evp6YmsrCwcOHBAp3Ff9uo1KCkDUOpDx0RUPZjYExHVcE5OTmjQoAFSUlKEsgcPHiAjI0N4r1Ao8NNPPynNVrdr106pDQCV94aGhiguLi43hrZt25bbV0UZGhqiXbt2SEtLq9R+FQoFvvjiC+zYsQNHjx5Fq1atNG779OlTXL9+HZ06dQLwYlnUsWPHtL7OnTp1wr1793RO7suirt+BAwdi48aN8Pf3x6ZNmyo0zp9//ilcg5fLGjRoAFdX1wr1TUSVh4k9EVENJxaLMXbsWEydOhVHjhzBn3/+CT8/P6V11efOncPjx4/RvXt3oSwwMBDXr19HSEgIrly5go0bN2LdunVKfTs4OODRo0c4cuQI/vnnnzKXVQQFBeG///0v/vvf/yIjIwNz587FpUuXVOrl5+erLI25du2axufat29fnDx5UuP6mpgwYQLi4uKwceNGmJmZ4d69e7h3756w9EedlJQUGBkZCUtrfv75Zzg7O6N169ZCnUmTJuHnn3/GN998g4yMDKxYsUJlf/tOnTqhefPm+OWXX1TGyMrKUrlmJbPh5VHXLwB8/PHH2LBhAz777DNs27ZNoz5Lk5ycrPSjYSVl3bp1E5bkEFH1Y2JPRFQLLF68GN27d8fAgQPRu3dvvP/++3jnnXeE47t370b//v1hYPD/9kSws7PD9u3b8dNPP+Gtt97CypUrERERodSvh4cHAgMDMWzYMDRv3hzffPNNqeMPGzYM//nPfzBt2jS88847uHnzJv7v//5PpV5GRgY6deqk9Cp54FYT48aNw759+4SdaypDTEwM8vLyIJVKYWVlJbw2b95cbtuEhASMGDFC2Nd99+7dSstwAODdd9/FmjVr8N1336Fjx444ePAgZs+erVSnfv36GDNmDOLj41XGWLJkico1S0xM1Ojc1PVbYujQoYiNjcWoUaOwY8cOjfp92alTp5CXl4ehQ4cqlSckJGDcuHFa90dEVUekqImLMImISCsdOnTA7Nmz4ePjU92hVJiPjw86deqEGTNmAHjxS7IPHz4s9VdmK1NmZiZatWqF8+fPo2PHjrh//z7atGmDs2fPolWrViguLoalpSX279+PLl26aN3/33//DVdXV5w7d65Sd5Gpqn5LfPLJJ+jUqRNmzpwplO3duxdTp07FH3/8oXQzSUTVizP2RES1XGFhIYYMGQIvL6/qDqVSLF68GGKxWKlsz549EIvF2LNnT5WM6eXlpbJW/K+//kJ0dLSwJj8nJweTJ09G586ddRqjRYsWWLt2LW7dulXheF9Hv8CLrUPfeustTJ48Wan88ePH+PHHH5nUE9UwnLEnIqIa7X//+x/kcjmAF9s9mpqaVvoYWVlZwpp7Ozs7GBoaVvoYNUFycrLaG8BHjx69xmiIqLIxsSciIqoj8vPzkZWVVeZxJyen1xgNEVU2JvZERERERHqAa+yJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhID/x/0HCihO9RnQQAAAAASUVORK5CYII=", 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OHYuBAwdi9erVQnlAQABatGiBgQMHYsuWLfD19cXt27cxefJkhISEICIiQqg7efJkGBoaYuLEifjkk0/QtWtXreMgIiIiqg2q5ebZhIQEiMViBAYGqhybPHkyioqKsH379jLbp6amIi0tDaGhoUJSX+Ktt95C7969kZCQUGnx5ubm4sCBAxg3bpzKNwcSiQTDhw/H5s2blWaPX7Vx40a4uLgoJfUlJk+ejJycHBw6dEjlWHZ2NhYvXoz27dvDw8MDd+7cwZo1azBu3DihTlBQEMRisdrHy7P0J06cwMCBA7F8+XJYWVnBx8cHe/fuxbNnz0qN29PTU0jqS9SrVw+TJk1CWloaLly4UOo5P3nyBEVFRbCwsCjzuqhz8OBB5OTklDrbPmDAALi4uAiv87Zt21BUVFRq3cDAQIjFYrV/EwUFBZDL5UoPIiIiotqkWhL7jIwMODo6wtDQUOWYtbU1zM3NkZGRobY9ALRt27bU423btlXbXltXr16FQqFQO96DBw9w//79MvvIyMhQ276kDvBiqc3mzZvRr18/2NnZYceOHRg/fjyys7OxY8cOeHt7o0GDBkL7sLAwpKamqn1YW1sL9W1tbTFz5kxcvnwZycnJaNGiBfz9/WFra4spU6bgzz//1CnuV02fPh02Njbo3bt3mddFnfJe5zZt2gh1MjIyYG5uDisrK5V6hoaGaN26tdq/iQULFsDc3Fx4lPVtEREREVFNVS1LccqjUCggEokqrb2XlxeSk5OV6ri6uirVefToUYXGA1ChmF9u/+uvv0Imk8HW1hZHjx5Ft27d1LaztLSEpaWlTmN27twZnTt3RmRkJGbMmIFvv/0Whw8f1mg3H3Xn/c033yAhIQFJSUkwNjYWyiMiIpSWyuTn5yMlJQVffPGFULZ//36lcy7rmxBt/k7KqztjxgyEhoYKz+VyOZN7IiIiqlWqJbF3cXHByZMnUVhYqDJrf/fuXcjlcjg7O6ttDwBpaWno2LGjyvH09HSl9mvWrEF+fr7w3NnZGfv27YONjY1G8To5OUEkEiEtLa3ULTDT09PRpEkTNGvWTG3MaWlppR67fPmyEBcAdOnSBT/88ANiY2PxwQcfoHfv3hg5ciS8vb3RsGFDlfZBQUGIi4tTew5paWmws7NTKb9y5Qo2bNiAuLg45OXlYezYsRgzZoxGcaenpyvFXWLJkiWIiIjA4cOH0aFDB5VYX97haPjw4RgyZAgGDx4slJW8LiWv8+XLl+Hh4VHq+O3atRPq5uXl4e7du0rfTgAvvgG5ceMGPvjgg1LPAwCMjIxgZGRU5nEiIiKimq5aluLIZDI8evQIq1atUjm2ZMkSNGjQAEOGDCmzfceOHdGmTRssXboUz58/Vzp24cIFHD58GMOGDRPKbGxs4OTkJDyAFzeAvlpWlqZNm8LT0xPR0dFKHxAA4N69e4iPj4evr6/aGWGZTIarV6/ip59+UjkWGRkpjAG82EEoICAAycnJSE9PR+fOnTFr1ixhyczRo0eVzlvbpTj//PMPVqxYga5du8LV1RXnzp3DwoULkZ2djVWrVqFLly5KcR8+fFhlHf3z58+xdOlStGvXTmn9/eLFi/HVV1/h559/hpubm8q5WlhYKF13ExMTWFpaqpQBQJ8+fWBhYYHIyEiVfhITE3H16lXhdR4yZAgMDAxKrbty5Uo8fvxY6W+CiIiISN9Uy4y9u7s7goODMXXqVBQWFsLb2xtFRUWIi4vDsmXLEBUVpXYZhEgkwpo1a9CnTx8MGTIEM2bMgEQiwW+//YbJkyfD3d0dISEhlRrzihUr4OHhgb59++Lrr79Gq1atcOnSJUydOhU2NjYIDw9X214mk2Hr1q3w8/PD4sWL0atXL8jlcnz//fdITEzE1q1bS90Rx9HREWFhYZg/fz6OHz+O2NhYDBo0CBEREcKOQtouxenatSuMjY3h5+eHXbt2lbouvcSkSZOwe/duDBgwAJGRkejatSv+/vtvRERE4PLlyzh8+LDwgeabb77BnDlzsHHjRjg4OAhbcpbcwKstU1NTrFq1CjKZDJ9//jm++OILNGrUCEeOHMHUqVMxdOhQYfbfzs4O33zzDaZMmQJjY2OMHDkSDRo0wO7duzFz5kxMnjyZO+IQERGRXqu2NfZRUVHo0KEDYmJiMGfOHIhEIrz99tvYtWtXqTvHvOq9995DSkoK5s+fj379+kEul8POzg5+fn6YMWNGpS+rcHZ2xtmzZzFv3jz4+voiJycHEokE3t7emDt3brk7v4hEImzZsgXLli3D0qVLMX78eBgZGcHd3R3Hjh3D+++/X257qVQKqVSKFStWKO2br629e/eiTZs2GtU1NjbG0aNHsWDBAsycORM3b96EmZkZevbsiZSUFKUfHIuOjkZhYSGGDh2q1MfcuXMxb948nWIdOnQojh07hoiICHTv3h35+flwcnLCrFmzEBISovQtyaRJk+Do6IglS5Zg2bJlKC4uhqurK2JiYvDZZ5/pND4RERFRbSFSqNujsZJIpVJ07NgRUVFROvfh7++Phw8favVDTrpISkpCz5498eDBA6UfqNJWZmYmWrVqhfPnz5d6HwDVbHK5HObm5sjLy0OjRo2qOxwiek0cpu+t7hCIaoTMhf2rOwSd1PX379e2xj46OhpisRgXL17Uql1ycjLEYrHKjx9VtZYtW+q8JtvLywuurq6VHBERERERUdley1Kc+Ph44abT0nZmUcfNzU3YelGXddra6tq1K65evVqh8V7ehUfb8yUiIiIi0sVrSew13VayNCYmJuXuWlOZKmO8ipwvEREREZEuqmW7SyIiIiIiqlxM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhID1TbD1QRERHVNLV1724iIoAz9kREREREeoGJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEe4HaXRERERGo4TN9b3SG8dtz6tXbijD0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIl9HSMSiSASidC4ceNqaQ8ADg4OQj8PHz7Uuv26deuE9iEhITrHQURERKRPanxif/v2bYwZMwbW1tYwNDSEvb09goODkZOTAwAoKirCtGnT8Oabb8LU1BTW1tYYNWoU7t69q/OYmZmZEIlESE1NVTkmlUqFZLIqxn4dfvzxR2RkZAjP161bV2aiLhKJsGvXLuF5dnY2oqKiKhxDWFgYsrOzYW5uLpQVFxdj6dKl6NChA4yNjdG4cWN4eXnhl19+UWrr6+uL7OxsuLu7q/T766+/ol+/fmjSpAmMjY3x5ptvIjIyEsXFxRWOmYiIiKgmq9GJ/Y0bN+Dm5oaMjAwkJCTg2rVrWLlyJY4cOQJ3d3fk5ubiyZMn+P333zFnzhz8/vvv2LFjBzIyMjBw4EC1fYtEImRmZlYoPl3HftWtW7d0juH+/ft4+vSpVm0aN24MS0tLncaTSCRKyXhp/P39MW/ePLV1zMzMIJFIIBKJAAAKhQIymQxhYWGYOHEiLl++jOPHj8PW1hZSqVTpw4WJiQkkEgkMDQ2V+ty5cyd69OiBli1b4tixY0hPT0dwcDDCw8Mhk8mgUCh0OmciIiKi2sCgugNQZ/z48TA0NMTBgwdhYmICALCzs0OnTp3g6OiIWbNmISYmBocOHVJq991336FLly64desW7Ozsqiw+c3NznceWy+XYunUrYmNj8eeffyI3N1enGPbt24eQkBD4+vrCz8+v1Fns2mDLli3Ytm0bEhMTMWDAAKF89erVyMnJQUBAADw9PWFqalpq+8ePH2Ps2LEYOHAgVq9eLZQHBASgRYsWGDhwILZs2QJfX99S2xcUFKCgoEB4LpfLK+nMiIiIiF6PGjtjn5ubiwMHDmDcuHFCUl9CIpFg+PDh2Lx5c6mzsHl5eRVeB64rdWM/f/4chw4dwogRIyCRSLBw4UL06tULZ8+eFercunULYrFY7SMoKEioP3z4cMTFxeHBgwf44IMP8MYbbyA8PBy3b99+HadbaTZu3AgXFxelpL7E5MmTkZOTo/Ih6mUHDx5ETk4OpkyZonJswIABcHFxQUJCQpntFyxYAHNzc+Fha2ur24kQERERVZMaO2N/9epVKBQKtG3bttTjbdu2xYMHD3D//n2lZSVPnz7F9OnT8emnn6JRo0YVisHDwwP16il/9snPz0fHjh1LrV/W2BkZGVi3bh02bNiAx48fw8fHB4cOHcJ7772n0oe1tXWpa/tf9nLfBgYG6N+/P/r374+8vDxs3boV69evx9y5cyGVSuHn54ehQ4eqfDh6VV5eHsRisdo6VSkjI0Pta11SR137l+u+qk2bNmrbz5gxA6GhocJzuVzO5J6IiIhqlRqb2JenZKa+ZI028OJmVplMhufPnyM6OlqpvpeXF5KTk5XKXF1dldo/evRI6fjmzZtVEsXhw4eXGo+6sT///HMcP34cQUFB+Pbbb9Um2QYGBnBycirzuDrm5uYICAhAQEAATp8+jWHDhmHUqFEwMzODt7e32rZmZmb4/fffVcqdnZ3LHTc+Ph6BgYHC84KCAohEIixZskQoW7VqVZnXTlMvv1ZlKWsdvUKhUNveyMgIRkZGOsdGREREVN1qbGLv5OQEkUiEtLS0UpPS9PR0NGnSBM2aNQPwIrH28fHBX3/9haNHj6rM1q9Zswb5+fnCc2dnZ+zbtw82NjZlxmBra6uSZJeWlJc3dlRUFNauXYuEhATs2bMHw4cPx8iRI+Hq6qrS161bt9CuXbsyYwKAESNGYOXKlSrlT58+xU8//YQNGzbg559/RqdOnTB58mT06tVLbX8AUK9ePZ0/UAwcOBBdu3YVnk+bNg02NjaYOHGiUNaiRQu1fbi4uCAtLa3UY5cvXwag/kOGi4uLUNfDw0PleHp6ernXlYiIiKg2q7GJfdOmTeHp6Yno6GhMmjRJKaG+d+8e4uPjMWrUKIhEIiGxvnr1Ko4dO4amTZuq9FdaAm9vbw8HB4cKxanJ2B07dsR3332HyMhI7NmzB7GxsejUqRPat2+PkSNHYtiwYZBIJAC0X4qjUChw8uRJbNiwAVu2bIFYLMaIESPwzTffoE2bNhU6N02ZmZnBzMxM6bmFhYVWHxRkMhk+/fRT/PTTTyrr7CMjI4W/h7L06dMHFhYWiIyMVEnsExMTcfXqVXz11Vcax0NERERU29TYxB4AVqxYAQ8PD/Tt2xdff/01WrVqhUuXLmHq1KmwsbFBeHg4nj17hqFDh+L333/Hnj17UFxcjHv37gEALCwsVLZErEzajm1oaIjBgwdj8ODBuH//PuLj4xEbG4uvv/5a2Jdf26U4cXFxCAwMxMcff4wtW7agd+/eKvcF1AYymQxbt26Fn58fFi9ejF69ekEul+P7779HYmIitm7dWuaOOABgamqKVatWQSaT4fPPP8cXX3yBRo0a4ciRI5g6dSqGDh0KHx+f13hGRERERK9XjU7snZ2dcfbsWcybNw++vr7IycmBRCKBt7c35s6dCwsLC2RmZiIxMREAVG5qPXbsGKRSaZXFd+fOHZ3Hbt68OUJCQhASEoL09HSdY+jVqxfu3btX4RuFq5tIJMKWLVuwbNkyLF26FOPHj4eRkRHc3d1x7NgxvP/+++X2MXToUBw7dgwRERHo3r078vPz4eTkhFmzZiEkJESjNfpEREREtVWNTuyBF8tlfvzxxzKPOzg46PTDQ+raqOszKSmpwmO/qiJLZqytrSs8vr+/P/z9/Us9psv5rVu3Tqc4DAwMMHnyZEyePFmn9gDQrVs37N+/X+f2RERERLVV7VuzQRU2bNgwtGzZUqe2r+6jr6tp06ZBLBYjLy9P67bx8fEQi8UquxwRERER1WU1fsaeKtfVq1cBAPXr19epfcmNvbq2B4Djx4+jqKgIAJRuutXUy7vwVMePkBERERHVREzs6xhdt7SsrPbAi+VVFfHqLjxERERExKU4RERERER6gYk9EREREZEeYGJPRERERKQHuMaeiIiISI3Mhf2rOwQijXDGnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItID3O6SiIiIqAZzmL73tY/JLT5rJ87YExERERHpASb2RERERER6gIk9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAfqRGIvlUohEokgEomQmppaZeM4ODgI4zx8+FCnPl5XrEDlxEtERERENUOdSOwBYOzYscjOzkb79u2FstjYWHTp0gWmpqYwMzND9+7dsWfPHqV2SUlJZSa+Dg4OiIqKEp6fOXMG27dvr5JYa3K8VSk/Px9z587FG2+8ASMjIzRr1gxDhw7FpUuXVOrm5uYiJCQEDg4OMDQ0hJWVFT777DPcunWrGiInIiIier3qTGLfsGFDSCQSGBgYAACmTJmCwMBA+Pj44MKFCzh9+jS6deuGQYMGYcWKFTqN0bx5c1hYWKitM2/ePPj7+2sVa3XG+6rCwkLcu3dPp/EAaJVkFxQUoHfv3vjvf/+Lr776ChkZGdi3bx+Ki4vRtWtXpKSkCHVzc3Px7rvv4vDhw4iOjsa1a9ewefNmXL9+HZ07d8aNGzd0jpmIiIioNjAov4r+SUlJQWRkJJYvX44JEyYI5eHh4Xj69ClCQ0MxaNAg2NraVmOU/09NiPfcuXOIjY3Fxo0bMWfOHAQHB+vUT48ePdCiRQv4+flBJpOhSZMmZdaNiorCqVOncP78ebz11lsAAHt7e2zfvh1du3bFmDFj8Oeff0IkEmHWrFm4e/curl27BolEAgCws7PDgQMH4OzsjPHjx2P//v06xUxERERUG9SZGfuXJSQkQCwWIzAwUOXY5MmTUVRUVKOWqFRXvNnZ2Vi8eDHat28PDw8P3LlzB2vWrMG4ceOEOkFBQRCLxWofL8/SnzhxAgMHDsTy5cthZWUFHx8f7N27F8+ePVMZf+PGjfD09BSS+hL16tXDpEmTkJaWhgsXLuD58+fYtGkThg8fLiT1JUxMTDBu3DgcOHAAubm5ZZ5rQUEB5HK50oOIiIioNqmTM/YZGRlwdHSEoaGhyjFra2uYm5sjIyNDqbxly5YqdZ88eVJlMb7sdcZbWFiInTt3IjY2FocOHYKbmxvGjx8PX1/fUpfthIWFYcqUKWr7tLa2Fv5ta2uLmTNnYubMmThz5gzWr18Pf39/GBgYYPjw4fD39xfuLcjIyEDPnj1L7bNt27ZCHSsrKzx8+FAoK62uQqHAtWvX0KVLl1LrLFiwAPPnz1d7HkREREQ1WZ1M7MujUCggEomUypKTk2FmZqZUJpVKy+0rOTkZXl5ewvPCwkIoFAps27ZNKCtJdGtCvL/++itkMhlsbW1x9OhRdOvWTW19S0tLWFpaah0zAHTu3BmdO3dGZGQkZsyYgW+//RaHDx/WaDcghUIBACrnrWvdGTNmIDQ0VHgul8trzFIsIiIiIk3UycTexcUFJ0+eRGFhocos+N27dyGXy+Hs7KxU3qpVKzRu3Fip7OWbW8vi5uamlKguX74cWVlZWLRokVBW3g2srzPeLl264IcffkBsbCw++OAD9O7dGyNHjoS3tzcaNmyoUj8oKAhxcXFq+0xLS4OdnZ1K+ZUrV7BhwwbExcUhLy8PY8eOxZgxY4TjLi4uSEtLK7XP9PR0AICzszOaN2+Oxo0bq60rEong6OhYZoxGRkYwMjJSex5ERERENVmdXGMvk8nw6NEjrFq1SuXYkiVL0KBBAwwZMqRSxjIxMYGTk5PwsLCwgJmZmUpZTYm3YcOGCAgIQHJyMtLT09G5c2fMmjULLVq0gL+/P44ePYrnz58L9cPCwpCamqr28fJSnH/++QcrVqxA165d4erqinPnzmHhwoXIzs7GqlWrlJbKyGQyHD58GBcuXFCK8fnz51i6dCnatWuHt956C/Xq1YOPjw82btyosmNPfn4+oqOj0bdvX613ACIiIiKqTerkjL27uzuCg4MxdepUFBYWwtvbG0VFRYiLi8OyZcsQFRVVo5ZhVFe8jo6OCAsLw/z583H8+HHExsZi0KBBiIiIEHbn0XYpTteuXWFsbAw/Pz/s2rULVlZWZdadNGkSdu/ejQEDBiAyMhJdu3bF33//jYiICFy+fBmHDx8WlteEh4fjyJEj8PT0xDfffIP27dvjr7/+wuzZs1FUVITvv/++YheDiIiIqIark4k98GIrxQ4dOiAmJgZz5syBSCTC22+/jV27dmHAgAHVHZ6K6oxXJBJBKpVCKpVixYoVaneXKc/evXvRpk0bjeoaGxvj6NGjWLBgAWbOnImbN2/CzMwMPXv2REpKitIPeDVr1gwpKSkICwtDYGAgsrOz0bRpU3z44YeIi4srdSkQERERkT4RKUruLNRjUqkUHTt2VPrV1aqSlJSEnj174sGDBypr3DXxOmMFKh6vvpLL5TA3N0deXh4aNWpU3eEQEVEd5jB972sfM3Nh/9c+ZmWo6+/fdWaNfXR0NMRiMS5evFhlY7i6uirtgKOr1xErUHnxEhEREVH1qxNLceLj45Gfnw8AVbokY9++fSgqKgIAnT8lvq5YgcqJl4iIiIhqhjqR2NvY2LyWcezt7Svcx+uKFaiceImIiIioZqgzS3GIiIiIiPQZE3siIiIiIj3AxJ6IiIiISA/UiTX2RERERLVVbd16kl4/ztgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoDbXRIRERGREofpe6u0f27hWTU4Y09EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEeqDGJvVQqhUgkgkgkQmpqqlZtk5KShLbe3t5VEl9N9TrPfd26dcJYISEhOvVR2+IlIiIiqi1qTGIPAGPHjkV2djbat28vlMXGxqJLly4wNTWFmZkZunfvjj179ii18/DwQHZ2Nnx8fCocw549eyCVSmFmZoaGDRuic+fOWLduXYX7rWpXrlxRifP27dsYM2YMrK2tYWhoCHt7ewQHByMnJ0epnlQqLTXxXbduHRo3biw89/X1RXZ2Ntzd3etcvEREREQ1XY1K7Bs2bAiJRAIDAwMAwJQpUxAYGAgfHx9cuHABp0+fRrdu3TBo0CCsWLFCaGdoaAiJRAITExO1/Ts4OCApKanM49999x0GDRoEDw8P/Pbbb/jjjz8gk8kQFBSEKVOmaHUut2/f1qr+y+7cuQOFQqFVG0tLS6Wk9saNG3Bzc0NGRgYSEhJw7do1rFy5EkeOHIG7uztyc3O1jsvExAQSiQSGhoZq64lEImRmZtaaeImIiIj0gUF1B1CWlJQUREZGYvny5ZgwYYJQHh4ejqdPnyI0NBSDBg2Cra1tpYx3+/ZtTJ48GSEhIYiIiBDKJ0+eDENDQ0ycOBGffPIJunbtqraP9evXIzY2Fq6urti5c6dOscyZMwdJSUkYNWoU/Pz80Lp1a637GD9+PAwNDXHw4EHhA4+dnR06deoER0dHzJo1CzExMTrFVxVqW7xERERENU2NmrF/WUJCAsRiMQIDA1WOTZ48GUVFRdi+fXuljbdt2zYUFRWVOjMfGBgIsViMhIQElWNPnjzBhg0b0Lt3bzg4OGDfvn0IDQ3Ff//7X6FOfHw8xGKx2kd8fLxQf/ny5ZgzZw6OHz8OZ2dndO/eHWvXrsW///6r0bnk5ubiwIEDGDdunMq3GBKJBMOHD8fmzZu1/lagqtSEeAsKCiCXy5UeRERERLVJjZ2xz8jIgKOjY6nLKKytrWFubo6MjIxKHc/c3BxWVlYqxwwNDdG6dWul8Y4fP47Y2Fhs3boVlpaWGDFiBFatWgVHR0eV9gMHDlQ70w8ALVq0EP5tZmaG0aNHY/To0bh58yY2bNiAb775BhMnTsTHH38MPz8/9O7dGyKRqNS+rl69CoVCgbZt25Z6vG3btnjw4AHu378PS0tLAEB0dDTWrFmjVO/Zs2cwNjZWG3dlqAnxLliwAPPnz9epLREREVFNUGMT+/IoFIoyE9sSQUFBiIuLE54/efIEXl5eqF+/vlCWlpYGOzs7rceTSqUwMTHBt99+i6CgILVtzczMYGZmVu4YpbG3t8fs2bMxe/ZsxMbG4osvvkB8fDwePHigtEZdGyUz3y+fz/DhwzFr1iylejt27FBallQWLy8vJCcnK5W5uroq9f/o0SOdYq2KeEszY8YMhIaGCs/lcnmlLfMiIiIieh1qbGLv4uKCkydPorCwUGXW/u7du5DL5XB2dlbbR1hYmNLSGqlUikWLFinNnltbWwvj5eXl4e7du0JZicLCQty4cQMffPCBUPbTTz8hNjYWISEhWL16NUaOHIlhw4ZBIpGoxBEfH1/qkqKXrVq1CsOHD1cp/+eff7Bp0yasX78eqamp8PLygp+fH8zNzcvsy8nJCSKRCGlpaaVuKZmeno4mTZqgWbNmQpm5uTmcnJyU6pXMjpdnzZo1yM/PF547Oztj3759sLGx0aj96463NEZGRjAyMtK5PREREVF1q7Fr7GUyGR49eoRVq1apHFuyZAkaNGiAIUOGqO3D0tISTk5OwsPAwAA2NjYqZQAwZMgQGBgYIDIyUqWflStX4vHjxxg2bJhQ9tFHH2Hr1q3Izs5GQEAANm3ahJYtW8LLywsbN27EkydPhLoDBw5Eamqq2sfAgQOF+gUFBdi2bRsGDhwIa2trrF27Fp9++imysrKwe/duDB48WO23FU2bNoWnpyeio6OVEm4AuHfvHuLj4+Hr61vuNx6aevWaAi++aXi1rKbES0RERKSPauyMvbu7O4KDgzF16lQUFhbC29sbRUVFiIuLw7JlyxAVFVWpSyXs7OzwzTffYMqUKTA2NsbIkSPRoEED7N69GzNnzsTkyZNLXSffpEkTjBs3DuPGjUN6ejrWrVuHL7/8Etu3bxdu7tV2Kc64ceOwd+9efPrppzh79iw6dOig9fmsWLECHh4e6Nu3L77++mu0atUKly5dwtSpU2FjY4Pw8HCt+6xKtS1eIiIiopqmxib2ABAVFYUOHTogJiYGc+bMgUgkwttvv41du3ZhwIABlT7epEmT4OjoiCVLlmDZsmUoLi6Gq6srYmJi8Nlnn5Xbvk2bNli4cCEiIiJw7do1neOYMWMGVq1aJXyboAtnZ2ecPXsW8+bNg6+vL3JyciCRSODt7Y25c+fCwsJC576rQm2Ll4iIiKimqdGJPQBhd5jKUN6PJgEvls28vCxGF/Xq1YOLi4vO7ctbuqIpe3t7/Pjjj+XWK+tHu/z9/eHv76/1uLpuS1ld8RIRERHpgxq1xj46OhpisRgXL17Uql1ycrLKXvB1TcuWLZXuAagKJfvxv7oDji5qW7xERERENZ1IUUN+pSgrK0u4cdLOzq7U/evLkp+fj6ysLACAWCwudWcaffU6z/3ff//F33//DQBo3Lix0i41mqot8crlcpibmyMvLw+NGjWqqhCJiIhqJIfpe6u0/8yF/auk37r+/l1jluJoujViaUxMTCpt+Upt8zrPvSL78ZeobfESERER1RY1aikOERERERHphok9EREREZEeYGJPRERERKQHmNgTEREREemBGnPzLBERERHVDFW1aw1VLc7YExERERHpASb2RERERER6gIk9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqA210SERERkRKH6Xt1bsutMqsPZ+yJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zs9cC6desgEokgEokQEhJSpWPNmzdPGCsqKkqnPiojXgcHB6GPhw8f6tQHERERkT6psYn97du3MWbMGFhbW8PQ0BD29vYIDg5GTk4OAKCoqAjTpk3Dm2++CVNTU1hbW2PUqFG4e/duhceOjY1Fly5dYGpqCjMzM3Tv3h179uypcL9VqVGjRsjOzsZXX32lVH7p0iX4+PigefPmMDIygrOzM+bMmYMnT54o1XNwcCg1UZ83bx46duwoPJ8yZQqys7PRsmXLao33zJkz2L59u0q/+fn5mDt3Lt544w0YGRmhWbNmGDp0KC5dulSheImIiIhquhqZ2N+4cQNubm7IyMhAQkICrl27hpUrV+LIkSNwd3dHbm4unjx5gt9//x1z5szB77//jh07diAjIwMDBw5U27dIJEJmZmaZx6dMmYLAwED4+PjgwoULOH36NLp164ZBgwZhxYoVGp/D8+fPkZWVpXH9V926dUur+iKRCBKJBGZmZkJZSkoKunbtisLCQuzduxcZGRmIiIhAbGwsPD09UVhYqHVcYrEYEokE9evXL7NOZmYmRCJRlcbbvHlzWFhYKPVZUFCA3r1747///S+++uorZGRkYN++fSguLkbXrl2RkpKi9fkSERER1RYG1R1AacaPHw9DQ0McPHgQJiYmAAA7Ozt06tQJjo6OmDVrFmJiYnDo0CGldt999x26dOmCW7duwc7OTutxU1JSEBkZieXLl2PChAlCeXh4OJ4+fYrQ0FAMGjQItra2ZfaRnp6O2NhYbNiwAZ988gmWLl2qdRwA4Ofnh/v378PPzw8jRoyAlZWVVu0VCgXGjBmDtm3bYseOHahX78VnOHt7e7i4uKBTp05YunQppk2bplN8la0y4o2KisKpU6dw/vx5vPXWW0L77du3o2vXrhgzZgz+/PPPUj90FBQUoKCgQHgul8sr+QyJiIiIqlaNm7HPzc3FgQMHMG7cOCGpLyGRSDB8+HBs3rwZCoVCpW1eXh5EIhEaN26s09gJCQkQi8UIDAxUOTZ58mQUFRWVuvzjwYMHiImJwbvvvov27dvj3LlzWLhwIcLDw4U6EREREIvFah/JyclC/S1btuDzzz/H5s2bYWtri379+mHz5s14+vSpRueSmpqKtLQ0hIaGCklyibfeegu9e/dGQkKCppemylVGvBs3boSnp6eQ1JeoV68eJk2ahLS0NFy4cKHUtgsWLIC5ubnwUPfhjYiIiKgmqnGJ/dWrV6FQKNC2bdtSj7dt2xYPHjzA/fv3lcqfPn2K6dOn49NPP0WjRo10GjsjIwOOjo4wNDRUOWZtbQ1zc3NkZGQAeLHUZu/evfDx8YGVlRViYmIwZMgQ3L59GwcPHsSIESPQsGFDoX1QUBBSU1PVPtzc3IT6zZs3x8SJE3H27FlcvHgRHTp0wJQpU2BlZYWgoKByl5WUxKnuOpbUKTFt2jSVDxsRERGaXbwK0iXe0vpQ1/7lcV41Y8YM5OXlCY/bt29rGjoRERFRjVAjl+KoUzJT//JyiqKiIshkMjx//hzR0dFK9b28vJRmwgHA1dVVqf2jR480Hruk3a1bt/DRRx+hSZMm2LhxIwYPHqy2rYWFhcqacE21bdsWCxcuREREBJYsWYLZs2dj06ZNFdoN5uVzKTF16lT4+/srlS1fvhwnTpwotz9XV1fcvHlT6Bt4sR6/hL29fYVuYC0tXm3bAyizDyMjIxgZGencPxEREVF1q3GJvZOTE0QiEdLS0uDt7a1yPD09HU2aNEGzZs0AvEjqfXx88Ndff+Ho0aMqs/Vr1qxBfn6+8NzZ2Rn79u2DjY2NSt8uLi44efIkCgsLVWbt7969C7lcDmdnZwBAy5YtkZCQgNjYWPj6+uLdd9/FqFGj8Mknn5S6FCgiIqLc2e/9+/ejW7duKuW3b99GfHw8NmzYgL/++guffPIJPvvsM7V9ubi4AADS0tKUdrUpkZ6eLpxLiWbNmsHJyUmpTNMPI/v27UNRUREAICsrC1KpFKmpqcLxBg0aVHq8pfWRlpZW6rH09HQAKLcPIiIiotqqxi3Fadq0KTw9PREdHa2UkAPAvXv3EB8fD19fX4hEIiGpv3r1Kg4fPoymTZuq9GdjYwMnJyfhAbyYPX61DABkMhkePXqEVatWqfSzZMkSNGjQAEOGDAEAGBgYQCaTYf/+/bh16xYGDBiAqKgoSCQSfPLJJ0hMTBQSXUD7pTj//vsv1q1bh169esHBwQF79+7FpEmThGvQu3dvtdexY8eOaNOmDZYuXYrnz58rHbtw4QIOHz6MYcOGqe1DGy9fU3t7ewBQusYlZVUZr0wmw+HDh1XW0T9//hxLly5Fu3btVNbfExEREemLGpfYA8CKFStQUFCAvn374sSJE7h9+zZ+/vlneHp6wsbGBuHh4Xj27BmGDh2Ks2fPIj4+HsXFxbh37x7u3bun0zaOAODu7o7g4GBMnToVkZGRuH79OtLT0zF79mwsW7YMkZGRpd5UaWVlhS+//BKXLl3CyZMn0aJFC4wePRrTp08X6lhYWCgluqU9Xr5Z2NvbG/Pnz8d7772HjIwMJCcnIyAgQOP7B0QiEdasWYO0tDQMGTIEp0+fxq1bt7B161YMGDAA7u7uVf5jVtqojHgnTZqELl26YMCAAdi6dStu3bqFM2fOYMiQIbh8+TLWrl1boeU8RERERDVZjVuKA7xYLnH27FnMmzcPvr6+yMnJgUQigbe3N+bOnQsLCwtkZmYiMTERAFSWbhw7dgxSqVSnsaOiotChQwfExMRgzpw5EIlEePvtt7Fr1y4MGDCg3PZubm5wc3PDt99+izt37ugUAwBER0fDxcWlQonoe++9h5SUFMyfPx/9+vWDXC6HnZ0d/Pz8MGPGjBq3pryi8RobG+Po0aNYsGABZs6ciZs3b8LMzAw9e/ZESkoK2rdv/5rOhIiIiOj1EylK2zeSapV169YhJCSkQjfTasvBwQEhISE6zfpXVrxJSUno2bMnHjx4oPMWp2WRy+UwNzdHXl6ezrssERER1VYO0/fq3DZzYf9KjEQ7df39u0YuxSHt5eXlQSwWV/kPTpXsx6/tL+O+qqLxurq6wsvLq0IxEBEREekTztjrgX///Rd///03AKBx48bCjkFVITc3F7m5uQBe7LVvbm6udR+VEe/NmzeFm5Nbt26t8qNWFVXXP/ETEVHdxhn72qlGrrEn7ZiZmcHMzOy1jFWR/fhLVEa85e2yQ0RERFTXcCkOEREREZEeYGJPRERERKQHmNgTEREREekBrrEnIiIiIiXVeQMs6Y4z9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEe4HaXRERERHWEw/S9GtXjdpe1E2fsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciIiIi0gM1LrGXSqUQiUQQiURITU19bW3rEgcHB+E6PXz4UOv269atE9qHhIRUenxEREREpL0al9gDwNixY5GdnY327dsjMzOzzERdKpUqJZY7duzA6dOnKzx+bm4uQkJC4ODgAENDQ1hZWeGzzz7DrVu3VOrevn0bY8aMgbW1NQwNDWFvb4/g4GDk5ORUOI6qFBYWhuzsbJibmwtlxcXFWLp0KTp06ABjY2M0btwYXl5e+OWXX5Ta+vr6Ijs7G+7u7ir9/vrrr+jXrx+aNGkCY2NjvPnmm4iMjERxcbHOsSYlJZX5IcTBwQFRUVEAXrxuEyZMwBtvvIGGDRvCzs4OEydORF5ens5jExEREdUWNTKxb9iwISQSCQwMDLRqZ2FhgebNm6uts27dOkil0jKP5+bm4t1338Xhw4cRHR2Na9euYfPmzbh+/To6d+6MGzduCHVv3LgBNzc3ZGRkICEhAdeuXcPKlStx5MgRuLu7Izc3V+PYs7Oz8ezZM43rv+zhw4eQy+VatTEzM4NEIoFIJAIAKBQKyGQyhIWFYeLEibh8+TKOHz8OW1tbSKVS7Nq1S2hrYmICiUQCQ0NDpT537tyJHj16oGXLljh27BjS09MRHByM8PBwyGQyKBSKUmMp+fBWUXfv3sXdu3exZMkSXLx4EevWrcPPP/+MMWPGVLhvIiIioppOu8y5Dpg1axbu3r2La9euQSKRAADs7Oxw4MABODs7Y/z48di/fz8AYPz48TA0NMTBgwdhYmIi1O3UqRMcHR0xa9YsxMTElDnW06dPsXv3bsTGxuLgwYPIyclRmkHX1IULF+Dl5YXBgwfDz88PvXr1Qr162n1m27JlC7Zt24bExEQMGDBAKF+9ejVycnIQEBAAT09PmJqaltr+8ePHGDt2LAYOHIjVq1cL5QEBAWjRogUGDhyILVu2wNfXV+vz01T79u2xfft24bmjoyPCw8MxYsQIPHv2TOsPikRERES1SY2csa8uz58/x6ZNmzB8+HAhqS9hYmKCcePG4cCBA8jNzUVubi4OHDiAcePGCUl9CYlEguHDh2Pz5s2lzlKfOnUKQUFBsLKyQmhoKFxdXZGamqqU1IvFYrUPLy8voW737t2xf/9+GBkZYejQobC3t8fMmTNx5coVjc9948aNcHFxUUrqS0yePBk5OTk4dOhQme1LPphMmTJF5diAAQPg4uKChIQEjeOpLHl5eWjUqFG5SX1BQQHkcrnSg4iIiKg2qTVTmB4eHiqz0Pn5+ejYsWOljXH//n08fPgQbdu2LfV427ZtoVAocO3aNSgUCigUCrV1Hzx4gPv378PS0hJ37tzB+vXrERsbizt37uDjjz/G5s2b0bt371Jn18u7+fflDxMikQg9evRAjx49sGLFCuzatQvr16/H4sWL8c4778DPzw+ffvqp2m8DMjIy1J5LSR117V+u+6o2bdqoba+Jli1bqpQ9efKkzPo5OTn46quvEBgYWG7fCxYswPz58ysUHxEREVF1qjWJ/ebNm1WSxuHDh5fb7tatW2jXrp3w/NmzZygqKoJYLBbKRowYgZUrV5bbV8nsu0gkKnO9eGl1AWD27NmIjY3F4MGDcerUKVhYWKht7+TkVG48pTExMcGwYcMwbNgwZGRkYNiwYRg3bhwKCgoqvIONJuvgy7ouCoVCqb2rqytu3ryp1Obl18Te3h6XLl1S6iM5ORlmZmZKZWXdLyGXy9G/f3+0a9cOc+fOLTfuGTNmIDQ0VKm9ra1tue2IiIiIaopak9jb2tqqJLuvLoEpjbW1tdLs944dO7B9+3bEx8cLZY0aNQIANG/eHI0bN0ZaWlqpfaWnp0MkEsHR0VFIVNPS0uDt7V1q3SZNmqBZs2YAXiT2VlZW2LBhA1xcXCCTyTBy5Eh07dq11LFeTnJL061bN2Gt/8uePXuGQ4cOYf369di9ezdat26NRYsWlfshyMXFpczzvnz5MgDA2dlZbfuSuh4eHirH09PTlT5g7du3D0VFRQCArKwsSKVSpdepQYMGKn20atUKjRs3ViorbYnNv//+iw8//BBisRg7d+4sta9XGRkZwcjIqNx6RERERDVVrUnsdWVgYKD0gcDS0hImJialzojXq1cPPj4+iI+PR1hYmNI6+/z8fERHR6Nv377CbLunpyeio6MxadIkpQ8Z9+7dQ3x8PEaNGiXMUjs5OWHBggUIDw/H4cOHERsbi549e6Jly5YYOXIkRowYgVatWgl9aLMUBwDOnz+P9evXIyEhAc+ePcOwYcNw4sQJuLm5aXSdZDIZPv30U/z0008q6+wjIyPRtGlTeHp6ltm+T58+sLCwQGRkpEpin5iYiKtXr+Krr74Syuzt7YV/lyTnun5L8TK5XI6+ffvCyMgIiYmJMDY2rnCfRERERLUBb559RXh4OCQSCTw9PbF//37cvn0bJ06cQN++fVFUVITvv/9eqLtixQoUFBSgb9++OHHiBG7fvo2ff/4Znp6esLGxQXh4uEr/9erVQ58+fRAfH4979+7hyy+/xMGDB+Hk5KR0w6aTk5Pah42NjVA3OTkZXbt2xY0bNxAdHY27d+/iu+++0zipB14k9h9//DH8/Pywdu1aZGZm4o8//kBgYCASExOxZs2aMnfEAQBTU1OsWrUKu3fvxueff44//vgDmZmZWLt2Lfz9/TF06FD4+PhoHI8u/v33X/Tp0wePHz/G2rVrIZfLce/ePdy7d69C++gTERER1QZ6P2OvrWbNmiElJQVhYWEIDAxEdnY2mjZtig8//BBxcXGws7MT6jo7O+Ps2bOYN28efH19kZOTA4lEAm9vb8ydO7fcdfSNGjVCQEAAAgICcP36dY2WFpWmXbt2yMrKKncPf3VEIhG2bNmCZcuWYenSpRg/fjyMjIzg7u6OY8eO4f333y+3j6FDh+LYsWOIiIhA9+7dkZ+fDycnJ8yaNQshISGVsle9OufOncNvv/0GQHX2/6+//oKDg0OVjk9ERERUnUSK8u4Cfc2kUik6duwo/JqotjIzM9GqVSucP3++UnfM0ScODg4ICQmp8M20FX2tajK5XA5zc3Nhu0wiIiJ94DB9r0b1Mhf2r+JIqkZdf/+ukUtxoqOjIRaLcfHiRa3aeXl5wdXVtYqi0i/Tpk2DWCxGXl6e1m3j4+MhFouRnJxcBZERERERkS5q3FKc+Ph45OfnA4DSshdNrFmzRue2dcnx48eFHWle3T5SEwMHDhR283l1lxoiIiIiqh41LrF/+abQ19m2Lnl5RxpdmJmZ6fSBgIiIiIiqTo1cikNERERERNphYk9EREREpAeY2BMRERER6YEat8aeiIiIiKpGbd3GkjTDGXsiIiIiIj3AxJ6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhID3C7SyIiIqI6ymH63lLLuS1m7cQZeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPRAjUzspVIpRCIRRCIRUlNTtWqblJQktPX29q6S+GozBwcH4fo8fPjwtbcHKvb6aqsy4iUiIiKqDWpkYg8AY8eORXZ2Ntq3by+UxcbGokuXLjA1NYWZmRm6d++OPXv2KLXz8PBAdnY2fHx8KjS+SCTCrl27VMr9/f2VPjAsWLAAnTt3hpmZGSwtLeHt7Y0rV65UaOyqFhYWhuzsbJibmwP4fx+GSkt8HRwcEBUVJTw/c+YMtm/fXuEYSnt9Ac1e4+qIl4iIiKimq7GJfcOGDSGRSGBgYAAAmDJlCgIDA+Hj44MLFy7g9OnT6NatGwYNGoQVK1YI7QwNDSGRSGBiYqK2fwcHByQlJVU4zuPHj2P8+PFISUnBoUOH8OzZM/Tp0wePHz/WuI/s7Gw8e/ZMp/EfPnwIuVyuVRszMzNIJBKIRCKtx2vevDksLCzU1pk3bx78/f3V1nn19QU0f40rO14iIiIifWBQfpXql5KSgsjISCxfvhwTJkwQysPDw/H06VOEhoZi0KBBsLW1fe2x/fzzz0rPf/zxR1haWuLcuXPo3r17me2ePn2K3bt3IzY2FgcPHkROTo4wg66NCxcuwMvLC4MHD4afnx969eqFevVq7Oe1MtXk15iIiIioNqgVGWBCQgLEYjECAwNVjk2ePBlFRUU1ZrlFXl4eAJQ5S3zq1CkEBQXBysoKoaGhcHV1RWpqqlJSLxaL1T68vLyEut27d8f+/fthZGSEoUOHwt7eHjNnzqzxy4FeVd2vcUFBAeRyudKDiIiIqDapFTP2GRkZcHR0hKGhocoxa2trmJubIyMjo9LHHTZsGOrXr69UVlBQgP79+5daX6FQIDQ0FO+//77S2vE7d+5g/fr1iI2NxZ07d/Dxxx9j8+bN6N27d6mz6+XdUPryMiORSIQePXqgR48eWLFiBXbt2oX169dj8eLFeOedd+Dn54dPP/1Uo28DWrZsqVL25MmTcttVBl1e48qMd8GCBZg/f75ObYmIiIhqglqR2JdHoVCUu148KCgIcXFxwvMnT57Ay8tLKXFPS0uDnZ2d8Hzp0qXo3bu3Uj/Tpk1DcXFxqWN88cUX+OOPP3Dy5Eml8tmzZyM2NhaDBw/GqVOnyl3z7eTkpPZ4WUxMTDBs2DAMGzYMGRkZGDZsGMaNG4eCggKEhISU2z45ORlmZmZKZVKpVKN2L3+LUFhYCIVCgW3btgllM2fOxMyZMzU+l1eV9hrrGm9pZsyYgdDQUOG5XC7nsh8iIiKqVWpFYu/i4oKTJ0+isLBQZUb37t27kMvlcHZ2VttHWFgYpkyZIjyXSqVYtGgRunbtKpRZW1srtZFIJCpJtpmZWam7sUyYMAGJiYk4ceKEykzy7NmzYWVlhQ0bNsDFxQUymQwjR45UGvtlYrFY7bl069YN+/fvVyl/9uwZDh06hPXr12P37t1o3bo1Fi1ahOHDh6vtr0SrVq3QuHFjpbKXb24ti5ubm9K3DMuXL0dWVhYWLVoklJX3YUaX11jXeEtjZGQEIyMjndoSERER1QS1IrGXyWRYvnw5Vq1apXRjJQAsWbIEDRo0wJAhQ9T2YWlpCUtLS+G5gYEBbGxsdJ4dL6FQKDBhwgTs3LkTSUlJaNWqlUodJycnLFiwAOHh4Th8+DBiY2PRs2dPtGzZEiNHjsSIESOU2mmzFAcAzp8/j/Xr1yMhIQHPnj3DsGHDcOLECbi5uVXo3DRlYmKidB0tLCwgl8u1uraV8RoTERER1WW1IrF3d3dHcHAwpk6disLCQnh7e6OoqAhxcXFYtmwZoqKiqm3ZxPjx47Fx40bs3r0bZmZmuHfvHgDA3NxcJQGvV68e+vTpgz59+kAul2PLli2IjY3FvHnz8ODBAzRq1AiAdktxkpOT0atXL3h5eSE6OhofffRRqevUa7qa/BoTERER1Qa1IrEHgKioKHTo0AExMTGYM2cORCIR3n77bezatQsDBgyotrhiYmIAqK7t/vHHH9Xu5d6oUSMEBAQgICAA169fL3ff/bK0a9cOWVlZaN68uU7ta5Ka+hoTERER1Qa1JrEHgNGjR2P06NGV0ldmZqba4wqFotTydevWaVRPG46Ojjq3bdq0aYXHl0qlZZ5HedepNPPmzdM5Fk1e48qOl4iIiEgf1Nh97KOjoyEWi3Hx4kWt2iUnJ0MsFiM+Pr6KIqv9pk2bBrFYLOy5rw1XV1elHXB0pevrq63KipeIiIiopquRM/bx8fHIz88HAKXtJzXx8g4t5e0uUxcdP34cRUVFAKCyVaQm9u3bJ7QvuSdAWxV5fbVVGfESERER1QY1MrG3sbHRue2rO7SQMnt7+2ptD1Ts9dVWZcRLREREVBvU2KU4RERERESkOSb2RERERER6gIk9EREREZEeYGJPRERERKQHauTNs0RERERU9TIX9q/uEKgSccaeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA9wVxwiIiIiUuIwfa/Sc+6eUztwxp6IiIiISA8wsSciIiIi0gNM7ImIiIiI9AATeyIiIiIiPcDEnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9oFViL5VKIRKJIBKJkJqaqtVASUlJQltvb2+t2pbIzMwU+ujYsaNOffj7+wt97Nq1S6c+SHeV8RpqqjL+5oiIiIhqC61n7MeOHYvs7Gy0b99eKIuNjUWXLl1gamoKMzMzdO/eHXv27FFq5+HhgezsbPj4+FQ46MOHD+PIkSNKZbm5uQgJCYGDgwMMDQ1hZWWFzz77DLdu3VKqt2zZMmRnZ5farybnUdMUFxdj6dKl6NChA4yNjdG4cWN4eXnhl19+qXDft2/fxpgxY2BtbQ1DQ0PY29sjODgYOTk5Fe67Iq+hv79/qYl6SSL/8OFDAJX7N0dERERU02md2Dds2BASiQQGBgYAgClTpiAwMBA+Pj64cOECTp8+jW7dumHQoEFYsWKF0M7Q0BASiQQmJiZq+3dwcEBSUpLaOk2bNkXTpk2F57m5uXj33Xdx+PBhREdH49q1a9i8eTOuX7+Ozp0748aNG0Jdc3NzSCQSlT41PY/yPH/+HFlZWRrXf9WrSaw6CoUCMpkMYWFhmDhxIi5fvozjx4/D1tYWUqm0Qt9I3LhxA25ubsjIyEBCQgKuXbuGlStX4siRI3B3d0dubm6Zbav6NdSUpn9zRERERPrAoCKNU1JSEBkZieXLl2PChAlCeXh4OJ4+fYrQ0FAMGjQItra2FQ5UnVmzZuHu3bu4du2akLTb2dnhwIEDcHZ2xvjx47F///4qPY/09HTExsZiw4YN+OSTT7B06VKdzsXPzw/379+Hn58fRowYASsrqzLrbtmyBdu2bUNiYiIGDBgglK9evRo5OTkICAiAp6cnTE1NtY5j/PjxMDQ0xMGDB4XE2M7ODp06dYKjoyNmzZqFmJgY7U+wDBV9DYmIiIjqugrdPJuQkACxWIzAwECVY5MnT0ZRURG2b99ekSHK9fz5c2zatAnDhw9XmYk3MTHBuHHjcODAAbUzzLqex4MHDxATE4N3330X7du3x7lz57Bw4UKEh4cLdSIiIiAWi9U+kpOThfpbtmzB559/js2bN8PW1hb9+vXD5s2b8fTpU5XxN27cCBcXF6Wk/uW4c3JycOjQIQBAcnJyuXFEREQAeDF7fuDAAYwbN05ltlsikWD48OHYvHkzFApFmddUG5XxGlZUQUEB5HK50oOIiIioNqnQjH1GRgYcHR1haGiocsza2hrm5ubIyMioyBDlun//Ph4+fIi2bduWerxt27ZQKBS4du0aunTpUmodbc7j+fPn2L9/P2JjY5GYmAgXFxeMHDkSO3fuLHV2PSgoqNw13jY2NsK/mzdvjokTJwpLa2JjYzFlyhQEBQXB19cX/v7+ePfdd4W41Z13SR0AcHNzK/eGZwsLCwDA1atXoVAo1Pb94MED3L9/H5aWlmr71IQur+GePXsgFouV6hUXF+scw4IFCzB//nyd2xMRERFVtwol9uVRKBQQiURq6wQFBSEuLk54/uTJE3h5eaF+/fpCWVpaGuzs7HSOAUC5cZTXR0n7W7du4aOPPkKTJk2wceNGDB48WG1bCwsLIWHWVtu2bbFw4UJERERgyZIlmD17NjZt2iTcHKqJkrhNTEzg5OSkUxyvevWaVsdr2LNnT5WlQL/99htGjBih0xgzZsxAaGio8Fwul1f5EjIiIiKiylShpTguLi64fv06CgsLVY7dvXsXcrkczs7OavsICwtDamqq8LC2tsaaNWtUysrSvHlzNG7cGGlpaaUeT09Ph0gkgqOjY6WcR8uWLZGQkICuXbvC19cX3bp1ww8//FBmsq3tUpyX3b59GwsXLsSbb76JefPm4ZNPPsG2bduU4i7rvC9fvgwAQtzaLMVxcnKCSCRSe02bNGmCZs2aAaie19DU1BROTk5Kj5e/+dCWkZERGjVqpPQgIiIiqk0qNGMvk8mwfPlyrFq1SummUwBYsmQJGjRogCFDhqjtw9LSUmk5h4GBAWxsbDSeXa5Xrx58fHwQHx+PsLAwpTXa+fn5iI6ORt++fdXOmmtzHgYGBpDJZJDJZMjOzsaGDRsQFRWFCRMmYMCAARg5ciS8vLzQoEEDANovxfn333+xfft2bNiwAUlJSfDw8MCkSZPg4+OjkmzKZDJ8+umn+Omnn1TW2UdGRqJp06bw9PQEoN1SnJJ20dHRmDRpktI6+3v37iE+Ph6jRo0SZtBrwmtIREREVNdVKLF3d3dHcHAwpk6disLCQnh7e6OoqAhxcXFYtmwZoqKiXstyhvDwcBw5cgSenp745ptv0L59e/z111+YPXs2ioqK8P3331fJeVhZWeHLL7/El19+ibNnz2LdunUYPXo0/Pz8EBkZCUD7pTje3t64ceMGRo4cidWrV6v9pkEmk2Hr1q3w8/PD4sWL0atXL8jlcnz//fdITEzE1q1bhR1xtF2Ks2LFCnh4eKBv3774+uuv0apVK1y6dAlTp06FjY2N0g3ClaGiryERERFRXVfhNfZRUVHo0KEDYmJiMGfOHIhEIrz99tvYtWtXqbu1VIVmzZohJSUFYWFhCAwMRHZ2Npo2bYoPP/wQcXFxGq3truh5uLm5wc3NDd9++y3u3Lmj87lER0fDxcVFo3sCRCIRtmzZgmXLlmHp0qUYP348jIyM4O7ujmPHjuH999/XOQ5nZ2ecPXsW8+bNg6+vL3JyciCRSODt7Y25c+dW+ux5ZbyGRERERHWZSKHFnoVSqRQdO3ZEVFSUzgP6+/vj4cOHOv14UmZmJlq1aoXz58+jY8eOOscAvEiKd+7cWeovmFLVqczXUFO6/M3J5XKYm5sjLy+P6+2JiKjOcZi+V+l55sL+1RSJdur6+7fWN89GR0dDLBbj4sWLWrUruXkzPj5e2yFVeHh4wMPDQ6e2QUFBKtsk0utXkddQU5X5N0dERERU02k1Y5+VlYX8/HwAL34VtLR938uSn5+PrKwsAIBYLFb5ISJNPHv2DJmZmQBe7GKiy/r9//3vf8KPD1lZWen0q6yku8p4DTVVkb+5uv6Jn4iI6jbO2NdOWq2xr8h2gpWxj7qBgUGF+3h1Bxd6vSrjNdRUZe7dT0RERFTTVWgfeyIiIiIiqhmY2BMRERER6QEm9kREREREeoCJPRERERGRHqjwD1QRERERkX6pLbvgkDLO2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHtD7xF4qlUIkEkEkEiE1NVWrtklJSUJbb29vncbPzMwU+ujYsaNOfWiqMuKtag4ODkKMDx8+1Lr9unXrhPYhISGVHh8RERFRbaX3iT0AjB07FtnZ2Wjfvr1QFhsbiy5dusDU1BRmZmbo3r079uzZo9TOw8MD2dnZ8PHxqXAMhw8fxpEjR5TKcnNzERISAgcHBxgaGsLKygqfffYZbt26pVTP39+/1ES9JJEvSZArM96qFBYWhuzsbJibmwtlxcXFWLp0KTp06ABjY2M0btwYXl5e+OWXX5Ta+vr6Ijs7G+7u7ir9/vrrr+jXrx+aNGkCY2NjvPnmm4iMjERxcXGVnxMRERFRdasTiX3Dhg0hkUhgYGAAAJgyZQoCAwPh4+ODCxcu4PTp0+jWrRsGDRqEFStWCO0MDQ0hkUhgYmKitn8HBwckJSWprdO0aVM0bdpUeJ6bm4t3330Xhw8fRnR0NK5du4bNmzfj+vXr6Ny5M27cuKH1eWoa76uys7Px7NkzrccDgIcPH0Iul2vVxszMDBKJBCKRCACgUCggk8kQFhaGiRMn4vLlyzh+/DhsbW0hlUqxa9cuoa2JiQkkEgkMDQ2V+ty5cyd69OiBli1b4tixY0hPT0dwcDDCw8Mhk8mgUCh0Oj8iIiKi2sKgugN43VJSUhAZGYnly5djwoQJQnl4eDiePn2K0NBQDBo0CLa2tlUax6xZs3D37l1cu3YNEokEAGBnZ4cDBw7A2dkZ48ePx/79+6ts/KdPn2L37t2IjY3FwYMHkZOTozSDrqkLFy7Ay8sLgwcPhp+fH3r16oV69bT7vLhlyxZs27YNiYmJGDBggFC+evVq5OTkICAgAJ6enjA1NS21/ePHjzF27FgMHDgQq1evFsoDAgLQokULDBw4EFu2bIGvr2+ZMRQUFKCgoEB4ru2HFSIiIqLqVidm7F+WkJAAsViMwMBAlWOTJ09GUVERtm/fXqUxPH/+HJs2bcLw4cOFpL6EiYkJxo0bhwMHDiA3N7fSxz516hSCgoJgZWWF0NBQuLq6IjU1VSmpF4vFah9eXl5C3e7du2P//v0wMjLC0KFDYW9vj5kzZ+LKlSsax7Rx40a4uLgoJfUlJk+ejJycHBw6dKjM9iUfTKZMmaJybMCAAXBxcUFCQoLaGBYsWABzc3PhUdUf7IiIiIgqW52bsc/IyICjo6PKUg4AsLa2hrm5OTIyMqo0hvv37+Phw4do27Ztqcfbtm0LhUKBa9euoUuXLgCAPXv2QCwWK9XTdO34nTt3sH79esTGxuLOnTv4+OOPsXnzZvTu3bvU2fXybjJ+eamPSCRCjx490KNHD6xYsQK7du3C+vXrsXjxYrzzzjvw8/PDp59+qvbbgIyMDLXXoqSOuvYv131VmzZtyn1NZ8yYgdDQUOG5XC5nck9ERES1Sp1L7MujUCiEtd9lCQoKQlxcnPD8yZMn8PLyQv369YWytLQ02NnZ6RwDAKU4evbsiZiYGKV6v/32G0aMGFFuf7Nnz0ZsbCwGDx6MU6dOwcLCQm19JycnHaJ+kfAPGzYMw4YNQ0ZGBoYNG4Zx48ahoKCgwjvYlPeaAChzHb0mr6mRkRGMjIx0io2IiIioJqhzib2LiwtOnjyJwsJClVn7u3fvQi6Xw9nZWW0fYWFhSss+pFIpFi1ahK5duwpl1tbWZbZv3rw5GjdujLS0tFKPp6enQyQSwdHRUSgzNTVVSbjv3LmjNs4Ss2fPhpWVFTZs2AAXFxfIZDKMHDlSKd6XvfrNwKu6detW6vr/Z8+e4dChQ1i/fj12796N1q1bY9GiRRg+fLja/lxcXMq8FpcvXwYAta+Ji4uLUNfDw0PleHp6Otq1a6c2BiIiIqLars6tsZfJZHj06BFWrVqlcmzJkiVo0KABhgwZorYPS0tLODk5CQ8DAwPY2NiolJWlXr168PHxwcaNG3Hv3j2lY/n5+YiOjkbfvn3LnVnXlJOTExYsWIBbt25h48aNePDgAXr27AkXFxd89dVX+Ouvv5Tqp6amqn2sWbNGqf758+cxadIktGzZEiNHjkSzZs1w4sQJ/Pnnn/jyyy/RvHlztfHJZDJcvXoVP/30k8qxyMhING3aFJ6enmW279OnDywsLBAZGalyLDExEVevXsWwYcPUxkBERERU29W5GXt3d3cEBwdj6tSpKCwshLe3N4qKihAXF4dly5YhKirqtaytDg8Px5EjR+Dp6YlvvvkG7du3x19//YXZs2ejqKgI33//faWPWa9ePfTp0wd9+vSBXC7Hli1bEBsbi3nz5uHBgwdo1KgRAO2W4iQnJ6NXr17w8vJCdHQ0Pvroo1LvX1BHJpNh69at8PPzw+LFi9GrVy/I5XJ8//33SExMxNatW8vcEQd48W3GqlWrIJPJ8Pnnn+OLL75Ao0aNcOTIEUydOhVDhw6t8Xv7ExEREVVUnUvsASAqKgodOnRATEwM5syZA5FIhLfffhu7du0qdWeWqtCsWTOkpKQgLCwMgYGByM7ORtOmTfHhhx8iLi5O5/X5mmrUqBECAgIQEBCA69eva733fYl27dohKyur3Fl5dUQiEbZs2YJly5Zh6dKlGD9+PIyMjODu7o5jx47h/fffL7ePoUOH4tixY4iIiED37t2Rn58PJycnzJo1CyEhIRqt0SciIiKqzepkYg8Ao0ePxujRoyulr8zMTJ3aNWvWDMuXL8fy5cvV1lu3bl2p5VKptFJ+eOnltfzaevlHtyrCwMAAkydPxuTJk3Xuo6y1/0RERER1QZ1YYx8dHQ2xWIyLFy9q1S45ORlisRjx8fEVjsHDw6PUGzsrU2XGW5WmTZsGsViMvLw8rdvGx8dDLBYjOTm5CiIjIiIiqr1EisqY8q3BsrKykJ+fD+DFL7tqs/47Pz8fWVlZAF7sFPPqj0lp4tmzZ8KMvpGRUZWu36+MeKvazZs3UVRUBABo3bq11r9S+++//+Lvv/8GADRu3BjNmjWr9BiBF/vYm5ubIy8vT7j3gIiIiGq2uv7+rfeJPZEu6vr/GIiIiGqjuv7+XSeW4hARERER6Tsm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEeYGJPRERERKQHmNgTEREREekBJvZERERERHqAiT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpASb2RERERER6gIk9EREREZEeMKjuAIhqIoVCAQCQy+XVHAkRERFpquR9u+R9vK5hYk9UipycHACAra1tNUdCRERE2srJyYG5uXl1h/HaMbEnKoWFhQUA4NatW3XyfwxERFR3yeVy2Nra4vbt22jUqFF1h6OVvLw82NnZCe/jdQ0Te6JS1Kv34vYTc3PzWvc/NSIiosrQqFGjWvseWPI+XtfUzbMmIiIiItIzTOyJiIiIiPQAE3uiUhgZGWHu3LkwMjKq7lCIiIheq9r8HlibY68MIkVd3Q+IiIiIiEiPcMaeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiIAADR0dFo1aoVjI2N8c477yA5Obm6QyItMLEnqkM+/vhjNGnSBEOHDq3uUIiIqIbZvHkzQkJCMGvWLJw/fx7dunWDl5cXbt26Vd2h1Rm3b9+GVCpFu3bt0KFDB2zdulWr9tzukqgOOXbsGB49eoTY2Fhs27atusMhIqIapGvXrnj77bcRExMjlLVt2xbe3t5YsGBBNUZWd2RnZ+Pvv/9Gx44d8b///Q9vv/02rly5AlNTU43ac8aeqA7p2bMnzMzMqjsMIiKqYQoLC3Hu3Dn06dNHqbxPnz749ddfqymqusfKygodO3YEAFhaWsLCwgK5ubkat2diT1XqxIkTGDBgAKytrSESibBr165y2zx79gyzZ89Gq1atYGJigtatWyMsLAzPnz9XqqfJOsDy6sTExKBDhw5o1KgRGjVqBHd3d+zfv1+pTlZWFkaMGIGmTZuiYcOG6NixI86dO6f9xVBD0+vEtY9ERFTZTpw4gf79+6O4uBiDBw9Weg9q0aIF7t27p1Rfk/dpBwcHiEQilcf48eO16keT90dN84aK0iSWynyfPnv2LJ4/fw5bW1uN2zCxpyr1+PFjvPXWW1ixYoXGbRYtWoSVK1dixYoVuHz5Mr755hssXrwY3333nVBHk3WAmtRp2bIlFi5ciLNnz+Ls2bP44IMPMGjQIFy6dAkA8ODBA7z33nto0KAB9u/fj7S0NERGRqJx48Zlxv/LL7+gqKhIpTw9PV3lf47aXCdNzuedd95B+/btVR53794ts18iIqrbHj9+jHbt2pV6TKFQQCQSKZVp8j595swZZGdnC49Dhw4BAD755BOt+tHk/VGTfl6my/u0JrFU5vt0Tk4ORo0ahdWrV5cZT6kURK8JAMXOnTvLrde/f3/F6NGjlcoGDx6sGDFihPC8S5cuiqCgIKU6bdq0UUyfPl2rOqVp0qSJYs2aNQqFQqGYNm2a4v333y835hLFxcWKt956SzF06FDFs2fPhPIrV64oJBKJYtGiReX2UdZ10vV8XnXs2DHFkCFDtGpDRET6raCgQFG/fn2V96CJEycqunfvrlRXk/fpVwUHByscHR0Vz58/17mfst4ftemnMt6ny4qlst6nnz59qujWrZti/fr1WrVTKBQKzthTjfP+++/jyJEjyMjIAABcuHABJ0+eRL9+/QBotg5Ql7WCxcXF2LRpEx4/fgx3d3cAQGJiItzc3PDJJ5/A0tISnTp1wg8//FBm7PXq1cO+fftw/vx5jBo1Cs+fP8f169fxwQcfYODAgfjyyy91uiZc+0hERFXJ0NAQ77zzjkr5oUOH4OHhoVRW3vv0qwoLCxEXF4fRo0crzf5r209ZtOmnpr9PKxQK+Pv744MPPsDIkSO1jsNA6xZEVWzatGnIy8tDmzZtUL9+fRQXFyM8PBzDhg0DAPzzzz8oLi5GixYtlNq9vA5QkzolLl68CHd3dzx9+hRisRg7d+4UvpK8ceMGYmJiEBoaipkzZ+L06dOYOHEijIyMMGrUqFLjt7a2xtGjR9G9e3d8+umnOHXqFHr16oWVK1fqfE20OR91+vbti99//x2PHz9Gy5YtsXPnTnTu3FnnuIiISH+EhoZCJpPh8OHDeOONN7B69WrcunULQUFBSvXKe59+1a5du/Dw4UP4+/tXqJ+yaNtPTX6f/uWXX7B582Z06NBBWMO/YcMGvPnmmxq1Z2JPWps3bx7mz5+vts6ZM2fg5uamU/+bN29GXFwcNm7cCFdXV6SmpiIkJATW1tbw8/MT6r265k9RyjpATeq88cYbSE1NxcOHD7F9+3b4+fnh+PHjaNeuHZ4/fw43NzdEREQAADp16oRLly4hJiamzMQeAOzs7LB+/Xr06NEDrVu3xtq1a1XG1YUm56POgQMHKhwDERHpJ19fX8hkMmzZsgU//PAD2rdvj3379sHe3l6pnqbv0yXWrl0LLy8vWFtbV6ifsujST019n37//fcrdNMvE3vS2hdffAGZTKa2joODg879T506FdOnTxfGePPNN3Hz5k0sWLAAfn5+aNasGerXr6/yCfh///uf8ElZkzolDA0N4eTkBABwc3PDmTNnsGzZMqxatQpWVlYqNxS1bdsW27dvV3sOf//9Nz7//HMMGDAAZ86cwaRJk8q8iUcT2pwPERFRRaxevRre3t5lHi/vffplN2/exOHDh7Fjx44K9aOOLv3o6/s019iT1po1a4Y2bdqofRgbG+vc/5MnT1CvnvKfZv369YVPsCXrAEvusC/x8jpATeqURaFQoKCgAADw3nvv4cqVK0rHMzIyVGYvXvbPP/+gV69eaNu2LXbs2IGjR49iy5YtmDJlitpx1anI+RAREVWm8t6nX/bjjz/C0tIS/fv3r1A/lRUPoOfv01rfbkukhX///Vdx/vx5xfnz5xUAFN9++63i/Pnzips3bwp1vvvuO8UHH3wgPPfz81PY2Ngo9uzZo/jrr78UO3bsUDRr1kzx5ZdfCnU2bdqkaNCggWLt2rWKtLQ0RUhIiMLU1FSRmZmpVZ0ZM2YoTpw4ofjrr78Uf/zxh2LmzJmKevXqKQ4ePKhQKBSK06dPKwwMDBTh4eGKq1evKuLj4xUNGzZUxMXFlXq+xcXFinfeeUfRr18/RUFBgVD+xx9/KJo2bar49ttvdb5OmpwPERGRtsp7D9LlfVqhePGeaGdnp5g2bVqp42rSjybvj5rGUxKTLu/TmsRSE96nmdhTlTp27JgCgMrDz89PqDN37lyFvb298FwulyuCg4MVdnZ2CmNjY0Xr1q0Vs2bNUvoPUKFQKL7//nuFvb29wtDQUPH2228rjh8/rjJ+eXVGjx4tHG/evLmiV69eQlJf4qefflK0b99eYWRkpGjTpo1i9erVas/54MGDivz8fJXy8+fPK27duqXzddL0nImIiLRR3nuQru/TBw4cUABQXLlypdRxNelHk/dHTeMpocv7tKaxVPf7tEihUChewxcDRERERERUhbjGnoiIiIhIDzCxJyIiIiLSA0zsiYiIiIj0ABN7IiIiIiI9wMSeiIiIiEgPMLEnIiIiItIDTOyJiIiIiPQAE3siIiIiIj3AxJ6IiIiISA8wsSciqqWkUilCQkK0apOUlASRSISHDx9WePx58+ahY8eOFe7nVWvXrkWfPn2E5/7+/hCJRBCJRNi1a1eljwe8uJYlY6SmpgIA9uzZg06dOuH58+da97du3To0btxYpbx79+7YuHFjBaNV9Wq/FblWDg4OiIqKAgAUFBTAzs4O586dU6ozZcoUTJw4UddwiaiKMLEnItIzUqkUK1eu1KhuWQmoLioj0S8oKMB//vMfzJkzR6n8ww8/RHZ2Nry8vISyspJXf39/eHt7C88XLFiAzp07w8zMDJaWlvD29saVK1eU2uzYsQOnT59WKvvoo48gEonKTMRbtWqFn3/+WeNz27NnD+7duweZTCaUvZxE66q0fivizJkz+PzzzwEARkZGmDJlCqZNm6ZU58svv8SPP/6Iv/76q1LGJKLKwcSeiEiP5Obm4tdff8WAAQOqOxSdbN++HWKxGN26dVMqNzIygkQigZGRkdZ9Hj9+HOPHj0dKSgoOHTqEZ8+eoU+fPnj8+LFQx8LCAs2bN1dp+9lnn+G7775TKf/jjz+Qk5ODnj17ahzH8uXL8dlnn6Fevcp9663sfps3b46GDRsKz4cPH47k5GRcvnxZKLO0tESfPn00/gBJRK8HE3siolrg8ePHGDVqFMRiMaysrBAZGVlqvb179+Ktt96CjY0NAGDfvn1wcXGBiYkJevbsiczMTKFuUlISPvvsM+Tl5QnLUObNm1dmDAsXLkSLFi1gZmaGMWPG4OnTp1qdg4ODAyIiIjB69GiYmZnBzs4Oq1evVqqzadMmDBw4UKt+y/Pzzz/D398frq6ueOutt/Djjz/i1q1bKstLSjNw4ECcPn0aN27cUCrfvXs3+vbtK3zQWLduHezs7NCwYUN8/PHHyMnJUar/zz//4PDhw1qdW8myqSNHjsDNzQ0NGzaEh4eH0rcNmvYbFhaGFi1aCMuM1Hn1W4SmTZvCw8MDCQkJSvUGDhyoUkZE1YuJPRFRLTB16lQcO3YMO3fuxMGDB5GUlFRqYpqYmIhBgwYBAG7fvo3BgwejX79+SE1NRUBAAKZPny7U9fDwQFRUFBo1aoTs7GxkZ2djypQppY6/ZcsWzJ07F+Hh4Th79iysrKwQHR2t9XlERkbCzc0N58+fx7hx4/B///d/SE9PF44nJyfDzc1N6361kZeXB+DFLH157O3tYWlpieTkZKXyl6/zb7/9htGjR2PcuHFITU1Fz5498fXXXyvVP3nyJBo2bIi2bdtqHe+sWbMQGRmJs2fPwsDAAKNHj9a4X4VCgeDgYKxduxYnT57UealUly5dVK5Bly5dcPv2bdy8eVOnPomo8hlUdwBERKTeo0ePsHbtWqxfvx6enp4AgNjYWLRs2VKpXkFBAQ4cOID//Oc/AICYmBi0bt0aS5cuhUgkwhtvvIGLFy9i0aJFAABDQ0OYm5tDJBJBIpGojSEqKgqjR49GQEAAAODrr7/G4cOHtZ6179evH8aNGwcAmDZtGpYuXYqkpCS0adMGDx8+xMOHD2Ftba1xf8OGDUP9+vWVygoKCtC/f/9S6ysUCoSGhuL9999H+/btNRrDxsZG6ZuOrKwsXLhwAf369QMALFu2DH379hU+NLm4uODXX39VWn+fmZmJFi1a6LRcJjw8HD169AAATJ8+Hf3798fTp09hbGystt9nz55h1KhROHv2LH755ReVvxdtvHoNSsqAF+dmb2+vc99EVHk4Y09EVMNdv34dhYWFcHd3F8osLCzwxhtvKNU7evQomjZtijfffBMAcPnyZbz77rsQiURCnZf70Mbly5dV2urSV4cOHYR/l3yg+N///gcAyM/PBwAYGxtr3N/SpUuRmpqq9FC3LOWLL77AH3/8odUSEhMTEzx58kR4npiYiPfee0+Y8dfk2uTn52t1Xi97+ZpZWVkBgNI1K6vfSZMm4dSpU0hOTq5QUg+oXoOSMgAq5URUfZjYExHVcAqFQqN6Ly8P0abd69SgQQOl5yKRSNhOsmnTphCJRHjw4IHG/UkkEjg5OSk9zMzMSq07YcIEJCYm4tixY1olurm5uUo31upynZs1a6bVeb3s5WtW8iGt5Jqp69fT0xNZWVk4cOCATuO+7NVrUFIGoNSbjomoejCxJyKq4ZycnNCgQQOkpKQIZQ8ePEBGRobwXKFQ4KefflKarW7Xrp1SGwAqzw0NDVFcXFxuDG3bti23r4oyNDREu3btkJaWVqn9KhQKfPHFF9ixYweOHj2KVq1aadz26dOnuH79Ojp16gTgxbKoY8eOaX2dO3XqhHv37umc3JdFXb8DBw7Exo0bERAQgE2bNlVonD///FO4Bi+XNWjQAK6urhXqm4gqDxN7IqIaTiwWY8yYMZg6dSqOHDmCP//8E/7+/krrqs+dO4fHjx+je/fuQllQUBCuX7+O0NBQXLlyBRs3bsS6deuU+nZwcMCjR49w5MgR/PPPP2UuqwgODsZ///tf/Pe//0VGRgbmzp2LS5cuqdTLz89XWRpz7do1jc+1b9++OHnypMb1NTF+/HjExcVh48aNMDMzw71793Dv3j1h6Y86KSkpMDIyEpbW/Pzzz3B2dkbr1q2FOhMnTsTPP/+Mb775BhkZGVixYoXK/vadOnVC8+bN8csvv6iMkZWVpXLNSmbDy6OuXwD4+OOPsWHDBnz22WfYtm2bRn2WJjk5WelHw0rKunXrJizJIaLqx8SeiKgWWLx4Mbp3746BAweid+/eeP/99/HOO+8Ix3fv3o3+/fvDwOD/7YlgZ2eH7du346effsJbb72FlStXIiIiQqlfDw8PBAUFwdfXF82bN8c333xT6vi+vr74z3/+g2nTpuGdd97BzZs38X//938q9TIyMtCpUyelR8kNt5oYO3Ys9u3bJ+xcUxliYmKQl5cHqVQKKysr4bF58+Zy2yYkJGD48OHCvu67d+9WWoYDAO+++y7WrFmD7777Dh07dsTBgwcxe/ZspTr169fH6NGjER8frzLGkiVLVK5ZYmKiRuemrt8SQ4cORWxsLEaOHIkdO3Zo1O/LTp06hby8PAwdOlSpPCEhAWPHjtW6PyKqOiJFTVyESUREWunQoQNmz54NHx+f6g6lwnx8fNCpUyfMmDEDwItfkn348GGpvzJbmTIzM9GqVSucP38eHTt2xP3799GmTRucPXsWrVq1QnFxMSwtLbF//3506dJF6/7//vtvuLq64ty5c5W6i0xV9Vvik08+QadOnTBz5kyhbO/evZg6dSr++OMPpQ+TRFS9OGNPRFTLFRYWYsiQIfDy8qruUCrF4sWLIRaLlcr27NkDsViMPXv2VMmYXl5eKmvF//rrL0RHRwtr8nNycjBp0iR07txZpzFatGiBtWvX4tatWxWO93X0C7zYOvStt97CpEmTlMofP36MH3/8kUk9UQ3DGXsiIqrR/ve//0EulwN4sd2jqalppY+RlZUlrLm3s7ODoaFhpY9REyQnJ6v9APjo0aPXGA0RVTYm9kRERHVEfn4+srKyyjzu5OT0GqMhosrGxJ6IiIiISA9wjT0RERERkR5gYk9EREREpAeY2BMRERER6QEm9kREREREeoCJPRERERGRHmBiT0RERESkB5jYExERERHpgf8P2l7k8LvRyEEAAAAASUVORK5CYII=", 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" ] @@ -314,13 +431,13 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 11, "id": "9576bfd2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -352,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 12, "id": "1d06630d", "metadata": {}, "outputs": [], @@ -360,7 +477,7 @@ "spc = \"H2\"\n", "dps = rms.getadjointsensitivities(sim,\n", " spc,\n", - " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", " abstol=1e-6, # You may tighter the tolerance with a cost of more computational time\n", " reltol=1e-3, # You may tighter the tolerance with a cost of more computational time\n", " )" @@ -384,13 +501,13 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 13, "id": "39e9ed12", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -423,13 +540,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 14, "id": "bf2ece42", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -457,16 +574,16 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 15, "id": "6c20dd69", "metadata": {}, "outputs": [], "source": [ "sol_tfs = rms.threadedsensitivities(react,\n", - " odesolver=de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", - " senssolver=de.CVODE_BDF(), # You may use a different ODE solver for the sensitivity equations. This is the one also used in Cantera\n", - " odekwargs={\"abstol\": 1e-18, \"reltol\": 1e-6,}, # You may tighter the tolerance with a cost of more computational time\n", - " senskwargs={\"abstol\": 1e-6, \"reltol\": 1e-3,} # You may tighter the tolerance with a cost of more computational time\n", + " odesolver=rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + " senssolver=rms.CVODE_BDF(), # You may use a different ODE solver for the sensitivity equations. This is the one also used in Cantera\n", + " odekwargs={rms.Symbol(\"abstol\"): 1e-18, rms.Symbol(\"reltol\"): 1e-6,}, # You may tighter the tolerance with a cost of more computational time\n", + " senskwargs={rms.Symbol(\"abstol\"): 1e-6, rms.Symbol(\"reltol\"): 1e-3,} # You may tighter the tolerance with a cost of more computational time\n", " );" ] }, @@ -484,7 +601,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 16, "id": "ab102117", "metadata": {}, "outputs": [], @@ -510,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 17, "id": "11fb2b9a", "metadata": {}, "outputs": [ @@ -520,13 +637,13 @@ "Text(0.5, 0, 'dLn([H2])/d(Ln(k_i))')" ] }, - "execution_count": 35, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -560,7 +677,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 18, "id": "dafa1642", "metadata": {}, "outputs": [ @@ -570,13 +687,13 @@ "Text(0.5, 0, 'dLn([H2])/d(G_i) mol/kcal')" ] }, - "execution_count": 41, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -615,7 +732,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 19, "id": "f4fad1d3", "metadata": {}, "outputs": [], @@ -637,17 +754,15 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 20, "id": "c6debf45", "metadata": {}, "outputs": [], "source": [ - "sol_fs = de.solve(react_fs.ode,\n", - " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + "sol_fs = rms.solve(react_fs.ode,\n", + " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", " abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n", " reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n", - " sensabstol=1e-6, # You may tighter the tolerance with a cost of more computational time\n", - " sensreltol=1e-3, # You may tighter the tolerance with a cost of more computational time\n", " )" ] }, @@ -665,7 +780,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 21, "id": "fd00afab", "metadata": {}, "outputs": [], @@ -691,7 +806,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 22, "id": "827e0a9f", "metadata": {}, "outputs": [ @@ -701,13 +816,13 @@ "Text(0.5, 0, 'dLn([H2])/d(Ln(k_i))')" ] }, - "execution_count": 50, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -741,7 +856,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 23, "id": "e658e2c6", "metadata": {}, "outputs": [ @@ -751,13 +866,13 @@ "Text(0.5, 0, 'dLn([H2])/d(G_i) mol/kcal')" ] }, - "execution_count": 51, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -772,6 +887,14 @@ "tol = 1e-5\n", "rms.plotmaxthermoforwardsensitivity(sim_tfs, spc, N=N, tol=tol)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4121e729-1187-4413-be3d-4c190353fe79", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -790,7 +913,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.16" + "version": "3.9.23" } }, "nbformat": 4, diff --git a/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb b/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb index 8ca7eb00292..e23f1496e8d 100644 --- a/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb +++ b/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb @@ -15,10 +15,125 @@ "execution_count": 1, "id": "82bfbe9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n", + "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n", + "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n", + "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n", + "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n", + "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n", + "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-3470-cf4fd6a40002 is missing from the cache.\n", + "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n", + "└ @ Base loading.jl:2018\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n", + "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n", + "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n", + "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n", + "[ Info: Waiting for another process (pid: 19143) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n", + "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n", + "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n", + "┌ Warning: MKL_jll is not available/installed.\n", + "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n" + ] + } + ], "source": [ - "from pyrms import rms\n", - "from diffeqpy import de\n", + "from juliacall import Main as rms\n", + "rms.seval(\"using PythonCall\")\n", + "rms.seval(\"using ReactionMechanismSimulator\")\n", + "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n", + "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" @@ -35,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "f9caf172", "metadata": {}, "outputs": [], @@ -68,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "76557080", "metadata": {}, "outputs": [ @@ -76,13 +191,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "RDKit WARNING: [16:23:31] WARNING: not removing hydrogen atom without neighbors\n", - "[16:23:31] WARNING: not removing hydrogen atom without neighbors\n" + "[22:41:10] WARNING: not removing hydrogen atom without neighbors\n" ] } ], "source": [ - "mechanism_path = \"/rmg/RMG-Py/examples/rmg/superminimal/rms/chem13.rms\" # You may change the path to actual mechanism file path\n", + "mechanism_path = \"rms/chem13.rms\" # You may change the path to actual mechanism file path\n", "\n", "phase_dict = rms.readinput(mechanism_path)\n", "spcs = phase_dict[\"phase\"][\"Species\"]\n", @@ -164,7 +278,7 @@ "metadata": {}, "outputs": [], "source": [ - "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)" + "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))" ] }, { @@ -208,8 +322,8 @@ "metadata": {}, "outputs": [], "source": [ - "sol = de.solve(react.ode,\n", - " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", + "sol = rms.solve(react.ode,\n", + " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n", " abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n", " reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n", " )" @@ -278,7 +392,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", "text/plain": [ - "" + "598×683 Array{RGBA{N0f8},2} with eltype ColorTypes.RGBA{FixedPointNumbers.N0f8}:\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " ⋮ ⋱ \n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n", + " RGBA{N0f8}(1.0,1.0,1.0,0.867) RGBA{N0f8}(1.0,1.0,1.0,0.58)" ] }, + "execution_count": 11, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -349,7 +484,7 @@ "outputs": [ { "data": { - "image/png": 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", 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Rr0tKSiAIArZt2yaWVSSETSHen376CQEBAXB0dMT333+P/v37a61vY2MDGxsbnWMGgF69eqFXr16IjY3FnDlz8Mknn+DgwYM1Ov1CEAQA0Jh3besaGxvD2Ni4ZoETERFRsybJBNjDwwM//PADSkpKNFZV8/PzoVKp4O7urlbeqVMnWFhYqJU9+ZBaVTw9PdUSuoSEBNy6dQtLly4Vy6p7EK0x4+3duze++OILJCcn45VXXsGQIUMQGBgIPz8/tG3bVqN+aGgoUlJStPaZnZ0NJycnjfKLFy9iw4YNSElJQVFRESZPnox33nlHvO/h4YHs7OxK+7xw4QIAwN3dHdbW1rCwsNBaVyaTwdXVVWucREREJA2S3AMcEBCAv/76C2vXrtW4t2LFCrRu3RqjRo2ql7FMTEzg5uYmviwtLaFQKDTKmkq8bdu2xaRJk5CZmYkLFy6gV69emDdvHjp06IDg4GB8//33KC8vF+tHR0cjKytL6+vJLRB//vknVq1ahT59+qBbt244deoUlixZgoKCAqxdu1Zti0JAQAAOHjyIM2fOqMVYXl6OuLg4dO3aFc8//zwMDAzg7++PjRs3apxQ8fDhQyQmJmLYsGE6n3hBRERELZMkV4C9vLwwffp0zJw5EyUlJfDz80NpaSlSUlKwcuVKxMfHN6n9n/qK19XVFdHR0fjwww9x+PBhJCcnw9fXFzExMeJpFLpugejTpw/atGmDoKAg7Ny5E3Z2dlXWnTFjBnbt2oURI0YgNjYWffr0wX//+1/ExMTg/PnzOHjwoLitYdGiRfjuu+/g7e2NZcuWoXv37rh27Rrmz5+P0tJSrF69um5vBhEREbUYkkyAgX+O2OrRowfWrFmDBQsWQCaT4YUXXsDOnTsxYsQIfYenQZ/xymQyKJVKKJVKrFq1SutpCtXZs2cPnn322RrVbdOmDb7//nssXrwYc+fOxfXr16FQKDBo0CAcO3ZM7YtC2rdvj2PHjiE6OhohISEoKCiAlZUVXn31VaSkpFS6BYOIiIikSSZUPCHUgimVSvTs2VPtW9AaSkZGBgYNGoS7d+9q7MGticaMFah7vC2VSqWCubk5ioqKYGZmpu9wiIiaBZfZe/QdAjUTuUuGN0i/Nf35LZk9wImJiZDL5Th79myDjdGtWze1Ex9qqzFiBeovXiIiIqLmRBJbIFJTU/Hw4UMAaNB/Ct+7dy9KS0sBoNarho0VK1A/8RIRERE1N5JIgB0cHBplHGdn5zr30VixAvUTLxEREVFzI5ktEEREREREABNgIiIiIpIYJsBEREREJClMgImIiIhIUpgAExEREZGkSOIUCCIiImp4DfXlBkT1jSvARERERCQpTICJiIiISFKYABMRERGRpDABJiIiIiJJYQJMRERERJLCBJiIiIiIJIXHoBEREVG9cJm9R98hUBV4RJ06rgATERERkaQwASYiIiIiSWECTERERESSwgSYiIiIiCSFCTARERERSQoTYCIiIiKSFCbARERERCQpTICJiIiISFKYABMRERGRpDABJiIiIiJJafEJsFKphEwmg0wmQ1ZWlk5tMzIyxLZ+fn61Gj83N1fso2fPnrXqo6bqI96G5uLiIsZ47949ndsnJSWJ7cPCwuo9PiIiImr5WnwCDACTJ09GQUEBunfvLpYlJyejd+/eMDU1hUKhwIABA7B79261dv369UNBQQH8/f3rHMPBgwfx3XffqZUVFhYiLCwMLi4uMDIygp2dHd5++23k5eWp1QsODq40oa1IeCsSyfqMtyFFR0ejoKAA5ubmYllZWRni4uLQo0cPtGnTBhYWFvDx8cGPP/6o1nbMmDEoKCiAl5eXRr8//fQTXnvtNbRr1w5t2rTBc889h9jYWJSVlTX4nIiIiKj5kEQC3LZtW9ja2sLQ0BAAEBkZiZCQEPj7++PMmTM4fvw4+vfvD19fX6xatUpsZ2RkBFtbW5iYmGjt38XFBRkZGVrrWFlZwcrKSrwuLCxE3759cfDgQSQmJuLy5cvYvHkzrly5gl69euHq1as6z7Om8T6toKAAjx8/1nk8ALh37x5UKpVObRQKBWxtbSGTyQAAgiAgICAA0dHRmDZtGs6fP4/Dhw/D0dERSqUSO3fuFNuamJjA1tYWRkZGan3u2LEDAwcORMeOHXHo0CFcuHAB06dPx6JFixAQEABBEGo1PyIiImp5DPUdQGM7duwYYmNjkZCQgPfff18sX7RoER49eoTw8HD4+vrC0dGxQeOYN28e8vPzcfnyZdja2gIAnJycsH//fri7u2Pq1KnYt29fg43/6NEj7Nq1C8nJyfj2229x584dtRXZmjpz5gx8fHzwxhtvICgoCIMHD4aBgW6/V23ZsgXbtm1Deno6RowYIZZ//vnnuHPnDiZNmgRvb2+YmppW2v7vv//G5MmTMXLkSHz++edi+aRJk9ChQweMHDkSW7ZswZgxY3SeHxEREbU8klgBflJaWhrkcjlCQkI07kVERKC0tBTbt29v0BjKy8uxadMmjBs3Tkx+K5iYmGDKlCnYv38/CgsL633so0ePIjQ0FHZ2dggPD0e3bt2QlZWllvzK5XKtLx8fH7HugAEDsG/fPhgbG+PNN9+Es7Mz5s6di4sXL9Y4po0bN8LDw0Mt+a0QERGBO3fu4MCBA1W2r0jgIyMjNe6NGDECHh4eSEtL0xpDcXExVCqV2ouIiIhaJsmtAOfk5MDV1VXjn9ABwN7eHubm5sjJyWnQGP744w/cu3cPXbp0qfR+ly5dIAgCLl++jN69ewMAdu/eDblcrlavpntbb968ifXr1yM5ORk3b97Ev/71L2zevBlDhgypdLW2uocFn9xiIZPJMHDgQAwcOBCrVq3Czp07sX79eixfvhwvvvgigoKC8NZbb2ldXc7JydH6XlTU0db+ybpPe/bZZ6v9TBcvXowPP/xQax0iIiJqGSSXAFdHEARxb2pVQkNDkZKSIl4/ePAAPj4+aNWqlViWnZ0NJyenWscAQC2OQYMGYc2aNWr1fv75Z4wfP77a/ubPn4/k5GS88cYbOHr0KCwtLbXWd3Nzq0XU/yTGY8eOxdixY5GTk4OxY8diypQpKC4urvOJDdV9JgCq3Odbk890zpw5CA8PF69VKlWDb4MhIiIi/ZBcAuzh4YEffvgBJSUlGqvA+fn5UKlUcHd319pHdHS02j+3K5VKLF26FH369BHL7O3tq2xvbW0NCwsLZGdnV3r/woULkMlkcHV1FctMTU01EtObN29qjbPC/PnzYWdnhw0bNsDDwwMBAQEIDAxUi/dJT680P61///6V7k9+/PgxDhw4gPXr12PXrl3o3Lkzli5dinHjxmntz8PDo8r34vz58wCg9TPx8PAQ6/br10/j/oULF9C1a1etMRgbG8PY2FhrHSIiImoZJLcHOCAgAH/99RfWrl2rcW/FihVo3bo1Ro0apbUPGxsbuLm5iS9DQ0M4ODholFXFwMAA/v7+2LhxI27fvq127+HDh0hMTMSwYcOqXamtKTc3NyxevBh5eXnYuHEj7t69i0GDBsHDwwMfffQRrl27plY/KytL6+vLL79Uq3/69GnMmDEDHTt2RGBgINq3b48jR47gt99+w6xZs2Btba01voCAAFy6dAlff/21xr3Y2FhYWVnB29u7yvZDhw6FpaUlYmNjNe6lp6fj0qVLGDt2rNYYiIiISDoktwLs5eWF6dOnY+bMmSgpKYGfnx9KS0uRkpKClStXIj4+vlH+6XvRokX47rvv4O3tjWXLlqF79+64du0a5s+fj9LSUqxevbrexzQwMMDQoUMxdOhQqFQqbNmyBcnJyYiKisLdu3dhZmYGQLctEJmZmRg8eDB8fHyQmJiI119/vdL91doEBARg69atCAoKwvLlyzF48GCoVCqsXr0a6enp2Lp1a5UnQAD/rI6vXbsWAQEBePfdd/Hee+/BzMwM3333HWbOnIk333yzyZ+NTERERI1HcgkwAMTHx6NHjx5Ys2YNFixYAJlMhhdeeAE7d+6s9CSChtC+fXscO3YM0dHRCAkJQUFBAaysrPDqq68iJSWl1vuHa8rMzAyTJk3CpEmTcOXKFZ3PDq7QtWtX3Lp1q9pVXm1kMhm2bNmClStXIi4uDlOnToWxsTG8vLxw6NAhvPzyy9X28eabb+LQoUOIiYnBgAED8PDhQ7i5uWHevHkICwur0R5iIiIikgZJJsAAMHHiREycOLFe+srNza1Vu/bt2yMhIQEJCQla6yUlJVVarlQq6+ULHp7ca6yrJ7/coy4MDQ0RERGBiIiIWvdR1d5kIiIioidJYg9wYmIi5HI5zp49q1O7zMxMyOVypKam1jmGfv36VfqAVn2qz3gb0gcffAC5XI6ioiKd26ampkIulyMzM7MBIiMiIiIpaPErwKmpqXj48CEA6LytwNPTUzwTt7qTEarSsWNHXLp0CQAa/JSB+oi3oR0+fBilpaUA/vlKZF2NHDlSPL3CwsKiPkMjIiIiiWjxCbCDg0Ot25qYmNT6TNwKhoaGde6jpuoj3obm7Oxcp/YKhaJWiTMRERFRBUlsgSAiIiIiqsAEmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKS3+FAgiIiJqHLlLhus7BKIa4QowEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwASYiIiIiSeExaERERFQvXGbv0XcITRqPiWs6uAJMRERERJLCBJiIiIiIJIUJMBERERFJChNgIiIiIpIUJsBEREREJClMgImIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkRacEWKlUQiaTQSaTISsrS6eBMjIyxLZ+fn46ta2Qm5sr9tGzZ89a9REcHCz2sXPnzlr1QbVXH59hTdXH3zkiIiJqeXReAZ48eTIKCgrQvXt3sSw5ORm9e/eGqakpFAoFBgwYgN27d6u169evHwoKCuDv71/noA8ePIjvvvtOraywsBBhYWFwcXGBkZER7Ozs8PbbbyMvL0+t3sqVK1FQUFBpvzWZR1NTVlaGuLg49OjRA23atIGFhQV8fHzw448/1rnvGzdu4J133oG9vT2MjIzg7OyM6dOn486dO3Xuuy6fYXBwcKUJbUXCe+/ePQD1+3eOiIiIWg6dE+C2bdvC1tYWhoaGAIDIyEiEhITA398fZ86cwfHjx9G/f3/4+vpi1apVYjsjIyPY2trCxMREa/8uLi7IyMjQWsfKygpWVlbidWFhIfr27YuDBw8iMTERly9fxubNm3HlyhX06tULV69eFeuam5vD1tZWo8+azqM65eXluHXrVo3rP+3pZE8bQRAQEBCA6OhoTJs2DefPn8fhw4fh6OgIpVJZpxXuq1evwtPTEzk5OUhLS8Ply5fx2Wef4bvvvoOXlxcKCwurbNvQn2FN1fTvHBEREUmLYV0aHzt2DLGxsUhISMD7778vli9atAiPHj1CeHg4fH194ejoWOdAtZk3bx7y8/Nx+fJlMbl1cnLC/v374e7ujqlTp2Lfvn0NOo8LFy4gOTkZGzZswOjRoxEXF1eruQQFBeGPP/5AUFAQxo8fDzs7uyrrbtmyBdu2bUN6ejpGjBghln/++ee4c+cOJk2aBG9vb5iamuocx9SpU2FkZIRvv/1WTCCdnJzwP//zP3B1dcW8efOwZs0a3SdYhbp+hkREREQ1VaeH4NLS0iCXyxESEqJxLyIiAqWlpdi+fXtdhqhWeXk5Nm3ahHHjxmms7JqYmGDKlCnYv3+/1hXL2s7j7t27WLNmDfr27Yvu3bvj1KlTWLJkCRYtWiTWiYmJgVwu1/rKzMwU62/ZsgXvvvsuNm/eDEdHR7z22mvYvHkzHj16pDH+xo0b4eHhoZb8Phn3nTt3cODAAQBAZmZmtXHExMQA+Gc1dv/+/ZgyZYrG6qmtrS3GjRuHzZs3QxCEKt9TXdTHZ1hXxcXFUKlUai8iIiJqmeq0ApyTkwNXV1cYGRlp3LO3t4e5uTlycnLqMkS1/vjjD9y7dw9dunSp9H6XLl0gCAIuX76M3r17V1pHl3mUl5dj3759SE5ORnp6Ojw8PBAYGIgdO3ZUulobGhpa7R5UBwcH8c/W1taYNm2auKUhOTkZkZGRCA0NxZgxYxAcHIy+ffuKcWubd0UdAPD09Kz2wUVLS0sAwKVLlyAIgta+7969iz/++AM2NjZa+6yJ2nyGu3fvhlwuV6tXVlZW6xgWL16MDz/8sNbtiYiIqPmoUwJcHUEQIJPJtNYJDQ1FSkqKeP3gwQP4+PigVatWYll2djacnJxqHQOAauOoro+K9nl5eXj99dfRrl07bNy4EW+88YbWtpaWlmJiqasuXbpgyZIliImJwYoVKzB//nxs2rRJfMirJiriNjExgZubW63ieNrT76k+PsNBgwZpbMH4+eefMX78+FqNMWfOHISHh4vXKpWqwbfuEBERkX7UaQuEh4cHrly5gpKSEo17+fn5UKlUcHd319pHdHQ0srKyxJe9vT2+/PJLjbKqWFtbw8LCAtnZ2ZXev3DhAmQyGVxdXetlHh07dkRaWhr69OmDMWPGoH///vjiiy+qTEp13QLxpBs3bmDJkiV47rnnEBUVhdGjR2Pbtm1qcVc17/PnzwOAGLcuWyDc3Nwgk8m0vqft2rVD+/btAejnMzQ1NYWbm5va68mVdF0ZGxvDzMxM7UVEREQtU51WgAMCApCQkIC1a9eqPTwGACtWrEDr1q0xatQorX3Y2Nio/TO6oaEhHBwcarxaaWBgAH9/f6SmpiI6OlptD+nDhw+RmJiIYcOGaV2F1WUehoaGCAgIQEBAAAoKCrBhwwbEx8fj/fffx4gRIxAYGAgfHx+0bt0agO5bIO7fv4/t27djw4YNyMjIQL9+/TBjxgz4+/trJGUBAQF466238PXXX2vsA46NjYWVlRW8vb0B6LYFoqJdYmIiZsyYobYP+Pbt20hNTcWECRPEFdmm8BkSERER1VSdEmAvLy9Mnz4dM2fORElJCfz8/FBaWoqUlBSsXLkS8fHxjfLPyIsWLcJ3330Hb29vLFu2DN27d8e1a9cwf/58lJaWYvXq1Q0yDzs7O8yaNQuzZs3CyZMnkZSUhIkTJyIoKAixsbEAdN8C4efnh6tXryIwMBCff/651pXrgIAAbN26FUFBQVi+fDkGDx4MlUqF1atXIz09HVu3bhVPgNB1C8SqVavQr18/DBs2DB9//DE6deqEc+fOYebMmXBwcFB70K8+1PUzJCIiIqqpOu8Bjo+PR48ePbBmzRosWLAAMpkML7zwAnbu3Fnp6QQNoX379jh27Biio6MREhKCgoICWFlZ4dVXX0VKSkqN9p7WdR6enp7w9PTEJ598gps3b9Z6LomJifDw8KjRnmWZTIYtW7Zg5cqViIuLw9SpU2FsbAwvLy8cOnQIL7/8cq3jcHd3x8mTJxEVFYUxY8bgzp07sLW1hZ+fHxYuXFjvq7H18RkSERER1YRM0OEsK6VSiZ49eyI+Pr7WAwYHB+PevXu1+pKG3NxcdOrUCadPn67z1+jKZDLs2LGDX5HbyOrzM6yp2vydU6lUMDc3R1FREfcDExHVkMvsPfoOoUnLXTJc3yG0eDX9+a3zQ3CJiYmQy+U4e/asTu0qHsJKTU3VdUgN/fr1Q79+/WrVNjQ0VOP4LGp8dfkMa6o+/84RERFRy6HTCvCtW7fw8OFDAP98S1dl5+ZW5eHDh+JXBMvl8kq/jrg6jx8/Rm5uLoB/ntqvzf7i33//XfySAzs7u1p9SxrVXn18hjVVl79zXAEmItIdV4C14wpww6vpz2+d9gDX5Zip+jiH1tDQsM59PH1iATWu+vgMa6o+zz4mIiKilqNO5wATERERETU3TICJiIiISFKYABMRERGRpDABJiIiIiJJYQJMRERERJJS52+CIyIiIgJ4zBc1H1wBJiIiIiJJYQJMRERERJLCBJiIiIiIJIUJMBERERFJChNgIiIiIpIUJsBEREREJClMgImIiIhIUngOMBERUQvnMntPo4zDc4CpueAKMBERERFJChNgIiIiIpIUJsBEREREJClMgImIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhQkwEREREUkKE+A6UCqVkMlkkMlkyMrKarS2FYKDg8U+du7cWas+aqo+4iUiIiJqCpgA19HkyZNRUFCA7t27Izc3t8oEUalUIiwsTLz+6quvcPz48TqP/+qrr6KgoAA+Pj5q5bt374ZSqYRCoUDbtm3Rq1cvJCUlqdXRR7wNqaysDHFxcejRowfatGkDCwsL+Pj44Mcff9R3aERERNSEMAGuo7Zt28LW1haGhoY6tbO0tIS1tbXWOklJSVAqlVrrGBsbw9bWFsbGxmLZp59+Cl9fX/Tr1w8///wzfv31VwQEBCA0NBSRkZE6xalLvE8rLy/HrVu3ajUeAOTl5dW4riAICAgIQHR0NKZNm4bz58/j8OHDcHR0hFKpbPAVciIiImo+dMvaqMm7ceMGIiIiEBYWhpiYGLE8IiICRkZGmDZtGkaPHo0+ffo0WAwXLlxAcnIyNmzYgNGjRyMuLq5W/QQFBeGPP/5AUFAQxo8fDzs7uyrrbtmyBdu2bUN6ejpGjBghln/++ee4c+cOJk2aBG9vb5iamtYqFiIiImo5uALcwmzbtg2lpaWVrvSGhIRALpcjLS2t3se9e/cu1qxZg759+6J79+44deoUlixZgkWLFol1YmJiIJfLtb4yMzPF+lu2bMG7776LzZs3w9HREa+99ho2b96MR48eaYy/ceNGeHh4qCW/FSIiInDnzh0cOHCgyviLi4uhUqnUXkRERNQycQW4AfTr1w8GBuq/Wzx8+BA9e/Zs8LFzcnJgbm5e6WqpkZEROnfujJycHLXy2sZbXl6Offv2ITk5Genp6fDw8EBgYCB27NhR6fihoaHw9/fX2qeDg4P4Z2tra0ybNk3c0pCcnIzIyEiEhoZizJgxCA4ORt++fcV5d+nSpdI+K8qfnveTFi9ejA8//FBrbERERNQyMAFuAJs3b9ZIxsaNG1dtu7y8PHTt2lW8fvz4MUpLSyGXy8Wy8ePH47PPPqt1bIIgQCaT1Vu8r7/+Otq1a4eNGzfijTfe0Frf0tISlpaWugeNf5LYJUuWICYmBitWrMD8+fOxadMm3Lt3r8Z9PD3vJ82ZMwfh4eHitUqlgqOjY61iJSIioqaNCXADcHR0hJubm1qZiYlJte3s7e3VTmT46quvsH37dqSmpoplZmZmWvvw8PBAUVER8vPzYW9vr3avpKQEV69exSuvvFIv8Xbs2BFpaWlITk7GmDFj0LdvX0yYMAGjR4+GhYWFRv2YmBi1fcmV2bdvH/r3769RfuPGDaSmpmLDhg24du0aRo8ejbffflu87+Hhgezs7Er7PH/+PADA3d29ynGNjY3VHiQkIiKilot7gJsQQ0NDuLm5iS8bGxuYmJholGkzatQoGBoaIjY2VuPeZ599hr///htjx46tt3gDAgKwb98+5OXlYcSIEYiPj4etrS1Gjx6N9PR0lJaWivVDQ0ORlZWl9eXp6SnWv3//PpKSkjB48GC4uLhgz549mDFjBm7fvo3U1FQMGTJErBsQEIBLly7h66+/1ogzNjYWVlZW8Pb2rpd5ExERUfPGFeAWxsnJCcuWLUNkZCTatGmDwMBAtG7dGrt27cLcuXMRERHRICdA2NnZYdasWZg1axZOnjyJpKQkTJw4EUFBQWIyrusWCD8/P1y9ehWBgYH4/PPP4erqWmXdgIAAbN26FUFBQVi+fDkGDx4MlUqF1atXIz09HVu3buUJEERERASACXCLNGPGDLi6umLFihVYuXIlysrK0K1bN6xZs0Zt20BD8fT0hKenJz755BPcvHmz1v0kJibCw8ND697dCjKZDFu2bMHKlSsRFxeHqVOnwtjYGF5eXjh06BBefvnlWsdBRERELQsT4Hrk4uICQRAqvZeRkaFzf8HBwQgODq5VLCNHjsTIkSO11qnveJ9WcepEbT3zzDM61Tc0NERERAQiIiJqPSYRERG1fNwDXEeJiYmQy+U4e/asTu18fHzQrVu3Oo+/e/duyOVy7N69u859aVNf8RIRERHpm0yoagmQqnXr1i08fPgQwD97b42MjBqlbYXff/9d/MIGOzu7Bt3jWh/xNicqlQrm5uYoKiqq9uQNIqKmzmX2nkYZJ3fJ8EYZh6gqNf35zS0QdfDklzY0ZtsKNjY21Z4KUV/qI14iIiKipoBbIIiIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhadAEBERtXA8noxIHVeAiYiIiEhSmAATERERkaQwASYiIiIiSWECTERERESSwgSYiIiIiCSFCTARERERSQoTYCIiIiKSFJ4DTERERPXCZfaeRhuLZxtTXXAFmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwASYiIiIiSWECTERERESSwgSYiIiIiCSFCTARERERSUqTTICVSiVkMhlkMhmysrJ0apuRkSG29fPza5D4mjMXFxfx/bl3716jtwfq9vnqqj7iJSIiopalSSbAADB58mQUFBSge/fuYllycjJ69+4NU1NTKBQKDBgwALt371Zr169fPxQUFMDf379O48tkMuzcuVOjPDg4WC2xXrx4MXr16gWFQgEbGxv4+fnh4sWLdRq7oUVHR6OgoADm5uYA/v8vDZUliC4uLoiPjxevT5w4ge3bt9c5hso+X6Bmn7E+4iUiIqKWo8kmwG3btoWtrS0MDQ0BAJGRkQgJCYG/vz/OnDmD48ePo3///vD19cWqVavEdkZGRrC1tYWJiYnW/l1cXJCRkVHnOA8fPoypU6fi2LFjOHDgAB4/foyhQ4fi77//rnEfBQUFePz4ca3Gv3fvHlQqlU5tFAoFbG1tIZPJdB7P2toalpaWWutERUUhODhYa52nP1+g5p9xfcdLRERE0mJYfRX9O3bsGGJjY5GQkID3339fLF+0aBEePXqE8PBw+Pr6wtHRsdFj++abb9Su161bBxsbG5w6dQoDBgyost2jR4+wa9cuJCcn49tvv8WdO3fEFVldnDlzBj4+PnjjjTcQFBSEwYMHw8Cgyf5eUyV9f8bFxcUoLi4Wr3X9pYKIiIiaj2aRKaWlpUEulyMkJETjXkREBEpLS5vMP3MXFRUBQJWrjkePHkVoaCjs7OwQHh6Obt26ISsrSy35lcvlWl8+Pj5i3QEDBmDfvn0wNjbGm2++CWdnZ8ydO7fJb8N4mr4/48WLF8Pc3Fx86eOXKSIiImoczWIFOCcnB66urjAyMtK4Z29vD3Nzc+Tk5NT7uGPHjkWrVq3UyoqLizF8+PBK6wuCgPDwcLz88stqe1tv3ryJ9evXIzk5GTdv3sS//vUvbN68GUOGDKl0tba6B8Oe3N4hk8kwcOBADBw4EKtWrcLOnTuxfv16LF++HC+++CKCgoLw1ltv1Wh1uWPHjhplDx48qLZdfajNZ1yf8c6ZMwfh4eHitUqlYhJMRETUQjWLBLg6giBUu581NDQUKSkp4vWDBw/g4+OjluBmZ2fDyclJvI6Li8OQIUPU+vnggw9QVlZW6Rjvvfcefv31V/zwww9q5fPnz0dycjLeeOMNHD16tNo9qW5ublrvV8XExARjx47F2LFjkZOTg7Fjx2LKlCkoLi5GWFhYte0zMzOhUCjUypRKZY3aPbkqXVJSAkEQsG3bNrFs7ty5mDt3bo3n8rTKPuPaxlsZY2NjGBsb1zY8IiIiakaaRQLs4eGBH374ASUlJRorhPn5+VCpVHB3d9faR3R0NCIjI8VrpVKJpUuXok+fPmKZvb29WhtbW1uNZFShUFR6+sD777+P9PR0HDlyRGNlcv78+bCzs8OGDRvg4eGBgIAABAYGqo39JLlcrnUu/fv3x759+zTKHz9+jAMHDmD9+vXYtWsXOnfujKVLl2LcuHFa+6vQqVMnWFhYqJU9+ZBaVTw9PdVWrRMSEnDr1i0sXbpULKsu6a/NZ1zbeImIiEjamkW2EBAQgISEBKxdu1btASkAWLFiBVq3bo1Ro0Zp7cPGxgY2NjbitaGhIRwcHGq92lpBEAS8//772LFjBzIyMtCpUyeNOm5ubli8eDEWLVqEgwcPIjk5GYMGDULHjh0RGBiI8ePHq7XTZQsEAJw+fRrr169HWloaHj9+jLFjx+LIkSPw9PSs09xqysTERO19tLS0hEql0um9rY/PmIiIiKgmmkUC7OXlhenTp2PmzJkoKSmBn58fSktLkZKSgpUrVyI+Pl5v+zWnTp2KjRs3YteuXVAoFLh9+zYAwNzcXCNRNTAwwNChQzF06FCoVCps2bIFycnJiIqKwt27d2FmZgZAty0QmZmZGDx4MHx8fJCYmIjXX3+90n20TV1T/oyJiIioZWkWCTAAxMfHo0ePHlizZg0WLFgAmUyGF154ATt37sSIESP0FteaNWsAaO49XbdundazcM3MzDBp0iRMmjQJV65cqfbc4qp07doVt27dgrW1da3aNyVN9TMmIiKilqXZJMAAMHHiREycOLFe+srNzdV6XxCESsuTkpJqVE8Xrq6utW5rZWVV5/GVSmWV86jufapMVFRUrWOpyWdc3/ESERGRtDTZc4ATExMhl8tx9uxZndplZmZCLpcjNTW1gSJr/j744API5XLxzGJddOvWTe3Eh9qq7eerq/qKl4iIiFqOJrkCnJqaiocPHwKA2rFkNfHkiQTVnaYgRYcPH0ZpaSkAaBwhVhN79+4V21fsWdZVXT5fXdVHvERERNSyNMkE2MHBodZtnz6RgNQ5OzvrtT1Qt89XV/URLxEREbUsTXYLBBERERFRQ2ACTERERESSwgSYiIiIiCSFCTARERERSUqTfAiOiIiImp/cJcP1HQJRjXAFmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwASYiIiIiSeE5wERERFQvXGbvqbSc5wNTU8MVYCIiIiKSFCbARERERCQpTICJiIiISFKYABMRERGRpDABJiIiIiJJYQJMRERERJLCBJiIiIiIJIUJMBERERFJChNgIiIiIpIUJsBEREREJClNJgFWKpWQyWSQyWTIysrSqW1GRobY1s/Pr0Hia6oac+5JSUniWGFhYbXqo7nFS0RERC1Pk0mAAWDy5MkoKChA9+7dxbLk5GT07t0bpqamUCgUGDBgAHbv3q3Wrl+/figoKIC/v3+dY9i9ezeUSiUUCgXatm2LXr16ISkpqc79NrSLFy9qxHnjxg288847sLe3h5GREZydnTF9+nTcuXNHrZ5Sqaw0QUxKSoKFhYV4PWbMGBQUFMDLy0ty8RIREVHL0aQS4LZt28LW1haGhoYAgMjISISEhMDf3x9nzpzB8ePH0b9/f/j6+mLVqlViOyMjI9ja2sLExERr/y4uLsjIyKjy/qeffgpfX1/069cPP//8M3799VcEBAQgNDQUkZGROs3lxo0bOtV/0s2bNyEIgk5tbGxs1JK/q1evwtPTEzk5OUhLS8Ply5fx2Wef4bvvvoOXlxcKCwt1jsvExAS2trYwMjLSWk8mkyE3N7fZxEtERETSYqjvAKpy7NgxxMbGIiEhAe+//75YvmjRIjx69Ajh4eHw9fWFo6NjvYx348YNREREICwsDDExMWJ5REQEjIyMMG3aNIwePRp9+vTR2sf69euRnJyMbt26YceOHbWKZcGCBcjIyMCECRMQFBSEzp0769zH1KlTYWRkhG+//Vb8xcDJyQn/8z//A1dXV8ybNw9r1qypVXwNQd/xFhcXo7i4WLxWqVQNNhYRERHpV5NaAX5SWloa5HI5QkJCNO5FRESgtLQU27dvr7fxtm3bhtLS0kpXekNCQiCXy5GWlqZx78GDB9iwYQOGDBkCFxcX7N27F+Hh4fjPf/4j1klNTYVcLtf6Sk1NFesnJCRgwYIFOHz4MNzd3TFgwAD8+9//xv3792s0l8LCQuzfvx9TpkzRWBW3tbXFuHHjsHnzZp1XmRtKU4h38eLFMDc3F1/19YsVERERNT1NdgU4JycHrq6ulf7ztb29PczNzZGTk1Ov45mbm8POzk7jnpGRETp37qw23uHDh5GcnIytW7fCxsYG48ePx9q1a+Hq6qrRfuTIkVpXjgGgQ4cO4p8VCgUmTpyIiRMn4vr169iwYQOWLVuGadOm4V//+heCgoIwZMgQyGSySvu6dOkSBEFAly5dKr3fpUsX3L17F3/88QdsbGwAAImJifjyyy/V6j1+/Bht2rTRGnd9aArxzpkzB+Hh4eK1SqViEkxERNRCNdkEuDqCIFSZAFYIDQ1FSkqKeP3gwQP4+PigVatWYll2djacnJx0Hk+pVMLExASffPIJQkNDtbZVKBRQKBTVjlEZZ2dnzJ8/H/Pnz0dycjLee+89pKam4u7du2p7aHVRsZL65HzGjRuHefPmqdX76quv1LaDVMXHxweZmZlqZd26dVPr/6+//qpVrA0Rb2WMjY1hbGxc6xiJiIio+WiyCbCHhwd++OEHlJSUaKwC5+fnQ6VSwd3dXWsf0dHRalsalEolli5dqrYaa29vL45XVFSE/Px8saxCSUkJrl69ildeeUUs+/rrr5GcnIywsDB8/vnnCAwMxNixY2Fra6sRR2pqaqVbOZ60du1ajBs3TqP8zz//xKZNm7B+/XpkZWXBx8cHQUFBMDc3r7IvNzc3yGQyZGdnV3rU2IULF9CuXTu0b99eLDM3N4ebm5tavYrV1up8+eWXePjwoXjt7u6OvXv3wsHBoUbtGzteIiIikrYmuwc4ICAAf/31F9auXatxb8WKFWjdujVGjRqltQ8bGxu4ubmJL0NDQzg4OGiUAcCoUaNgaGiI2NhYjX4+++wz/P333xg7dqxY9vrrr2Pr1q0oKCjApEmTsGnTJnTs2BE+Pj7YuHEjHjx4INYdOXIksrKytL5Gjhwp1i8uLsa2bdswcuRI2Nvb49///jfeeust3Lp1C7t27cIbb7yhdfXbysoK3t7eSExMVEtMAeD27dtITU3FmDFjql1Br6mn31Pgn5Xrp8uaSrxEREQkbU12BdjLywvTp0/HzJkzUVJSAj8/P5SWliIlJQUrV65EfHx8ve7RdHJywrJlyxAZGYk2bdogMDAQrVu3xq5duzB37lxERERUuo+3Xbt2mDJlCqZMmYILFy4gKSkJs2bNwvbt28WH9HTdAjFlyhTs2bMHb731Fk6ePIkePXroPJ9Vq1ahX79+GDZsGD7++GN06tQJ586dw8yZM+Hg4IBFixbp3GdDam7xEhERUfPVZBNgAIiPj0ePHj2wZs0aLFiwADKZDC+88AJ27tyJESNG1Pt4M2bMgKurK1asWIGVK1eirKwM3bp1w5o1a/D2229X2/7ZZ5/FkiVLEBMTg8uXL9c6jjlz5mDt2rXi6nRtuLu74+TJk4iKisKYMWNw584d2Nraws/PDwsXLoSlpWWt+24IzS1eIiIiar6adAIMQDwNoT5U9+UMwD/bFZ7cjlAbBgYG8PDwqHX76rYM1JSzszPWrVtXbb2qvhwkODgYwcHBOo9b2+PK9BUvERERSUuT2gOcmJgIuVyOs2fP6tQuMzNT4yxdqenYsaPaHuWGUHGe8dMnPtRGc4uXiIiIWg6Z0ES+DeHWrVviA1BOTk46fX3tw4cPcevWLQCAXC6v9CSGlqox537//n3897//BQBYWFioncpQU80lXpVKBXNzcxQVFcHMzKyhQiQialFcZu+ptDx3yfBGjoSkqqY/v5vMFoiaHplVGRMTk3rbNtDcNObc63KecYXmFi8RERG1PE1qCwQRERERUUNjAkxEREREksIEmIiIiIgkhQkwEREREUkKE2AiIiIikpQmcwoEERERNW887oyaC64AExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhQkwEREREUkKE2AiIiIikhQeg0ZERES15jJ7j/hnHoNGzQVXgImIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwAW4BkpKSIJPJIJPJEBYW1qBjRUVFiWPFx8fXqo/6iNfFxUXs4969e7Xqg4iIiKSpySbAN27cwDvvvAN7e3sYGRnB2dkZ06dPx507dwAApaWl+OCDD/Dcc8/B1NQU9vb2mDBhAvLz8+s8dnJyMnr37g1TU1MoFAoMGDAAu3fvrnO/DcnMzAwFBQX46KOP1MrPnTsHf39/WFtbw9jYGO7u7liwYAEePHigVs/FxaXShDYqKgo9e/YUryMjI1FQUICOHTvqNd4TJ05g+/btGv0+fPgQCxcuxDPPPANjY2O0b98eb775Js6dO1eneImIiKjlaJIJ8NWrV+Hp6YmcnBykpaXh8uXL+Oyzz/Ddd9/By8sLhYWFePDgAX755RcsWLAAv/zyC7766ivk5ORg5MiRWvuWyWTIzc2t8n5kZCRCQkLg7++PM2fO4Pjx4+jfvz98fX2xatWqGs+hvLwct27dqnH9p+Xl5elUXyaTwdbWFgqFQiw7duwY+vTpg5KSEuzZswc5OTmIiYlBcnIyvL29UVJSonNccrkctra2aNWqVZV1cnNzIZPJGjRea2trWFpaqvVZXFyMIUOG4D//+Q8++ugj5OTkYO/evSgrK0OfPn1w7NgxnedLRERELZDQBL366qtCx44dhQcPHqiVFxQUCG3bthVCQ0MrbXf8+HEBgHD9+vUq+wYgXLt2rdJ7R48eFQAICQkJGvfCw8OF1q1bC3l5eVpjP3/+vDB79mzBwcFBCAsL01pXG6VSKXTr1k1YtmyZkJ+fr7XuunXrBHNzc7Wy8vJyoWvXroKnp6dQVlamdi8rK0uQyWTCkiVLxDJnZ2chLi5Oo++FCxcKzz//vEZ5VfUFQRCuXbsmaPurVR/xCoIgHDp0SAAg3L17VxAEQViyZIkgk8mErKwstXplZWWCp6en0LVrV6G8vLzSmB49eiQUFRWJrxs3bggAhKKioirnQUREguD8wW7xRaRvRUVFNfr53eRWgAsLC7F//35MmTIFJiYmavdsbW0xbtw4bN68GYIgaLQtKiqCTCaDhYVFrcZOS0uDXC5HSEiIxr2IiAiUlpZW+s/ud+/exZo1a9C3b190794dp06dwpIlS7Bo0SKxTkxMDORyudZXZmamWH/Lli149913sXnzZjg6OuK1117D5s2b8ejRoxrNJSsrC9nZ2QgPD4eBgfrH/Pzzz2PIkCFIS0ur6VvT4Ooj3o0bN8Lb2xvPP/+8WrmBgQFmzJiB7OxsnDlzptK2ixcvhrm5ufhydHSs24SIiIioyWpyCfClS5cgCAK6dOlS6f0uXbrg7t27+OOPP9TKHz16hNmzZ+Ott96CmZlZrcbOycmBq6srjIyMNO7Z29vD3NwcOTk5AP7Z4rBnzx74+/vDzs4Oa9aswahRo3Djxg18++23GD9+PNq2bSu2Dw0NRVZWltaXp6enWN/a2hrTpk3DyZMncfbsWfTo0QORkZGws7NDaGhotf+cXxGntvexok6FDz74QCMpj4mJqdmbV0e1ibeyPrS1f3Kcp82ZMwdFRUXi68aNGzUNnYiIiJoZQ30HoKuKld8n95iWlpYiICAA5eXlSExMVKvv4+OjtrIKAN26dVNr/9dff9V47Ip2eXl5eP3119GuXTts3LgRb7zxhta2lpaWGntWa6pLly5YsmQJYmJisGLFCsyfPx+bNm2q0+kHT86lwsyZMxEcHKxWlpCQgCNHjlTbX7du3XD9+nWxb+Cf/cIVnJ2d6/QgWmXx6toeQJV9GBsbw9jYuNb9ExERUfPR5BJgNzc3yGQyZGdnw8/PT+P+hQsX0K5dO7Rv3x7AP8mvv78/rl27hu+//15j9ffLL7/Ew4cPxWt3d3fs3bsXDg4OGn17eHjghx9+QElJicYqcH5+PlQqFdzd3QEAHTt2RFpaGpKTkzFmzBj07dsXEyZMwOjRoyvdghETE1Ptauq+ffvQv39/jfIbN24gNTUVGzZswLVr1zB69Gi8/fbbWvvy8PAAAGRnZ6ud4lDhwoUL4lwqtG/fHm5ubmplNU3a9+7di9LSUgDArVu3oFQqkZWVJd5v3bp1vcdbWR/Z2dmV3rtw4QIAVNsHERERtXxNbguElZUVvL29kZiYqJa4AsDt27eRmpqKMWPGQCaTicnvpUuXcPDgQVhZWWn05+DgADc3N/EF/LMa+XQZAAQEBOCvv/7C2rVrNfpZsWIFWrdujVGjRgEADA0NERAQgH379iEvLw8jRoxAfHw8bG1tMXr0aKSnp4sJIaD7Foj79+8jKSkJgwcPhouLC/bs2YMZM2aI78GQIUO0vo89e/bEs88+i7i4OJSXl6vdO3PmDA4ePIixY8dq7UMXT76nzs7OAKD2HleUNWS8AQEBOHjwoMY+3/LycsTFxaFr164a+4OJiIhIeppcAgwAq1atQnFxMYYNG4YjR47gxo0b+Oabb+Dt7Q0HBwcsWrQIjx8/xptvvomTJ08iNTUVZWVluH37Nm7fvl2r470AwMvLC9OnT8fMmTMRGxuLK1eu4MKFC5g/fz5WrlyJ2NjYSh+OsrOzw6xZs3Du3Dn88MMP6NChAyZOnIjZs2eLdSwtLdUSwspeTz705+fnhw8//BAvvfQScnJykJmZiUmTJtV4f7NMJsOXX36J7OxsjBo1CsePH0deXh62bt2KESNGwMvLq8G/NEMX9RHvjBkz0Lt3b4wYMQJbt25FXl4eTpw4gVGjRuH8+fP497//XadtFERERNQyNLktEMA//0x98uRJREVFYcyYMbhz5w5sbW3h5+eHhQsXwtLSErm5uUhPTwcAjX8yP3ToEJRKZa3Gjo+PR48ePbBmzRosWLAAMpkML7zwAnbu3IkRI0ZU297T0xOenp745JNPcPPmzVrFAACJiYnw8PCoU8L20ksv4dixY/jwww/x2muvQaVSwcnJCUFBQZgzZ06T2/Na13jbtGmD77//HosXL8bcuXNx/fp1KBQKDBo0CMeOHUP37t0baSZERETUlMmEys4To2YlKSkJYWFhjfqVwC4uLggLC6vVKnJ9xZuRkYFBgwbh7t27tT76rioqlQrm5uYoKiqq9akiRERS4DJ7j/jn3CXD9RgJUc1/fjfJLRCku6KiIsjlcnzwwQcNOk7Feca6flPd0+oab7du3eDj41OnGIiIiEiauALcAty/fx///e9/AQAWFhbiCRkNobCwEIWFhQD+OavY3Nxc5z7qI97r16+LDxl27txZ48sz6oorwERENcMVYGpKavrzu0nuASbdKBQKKBSKRhmrLucZV6iPeKs7VYKIiIioKtwCQURERESSwgSYiIiIiCSFCTARERERSQoTYCIiIiKSFCbARERERCQpPAWCiIiIao1Hn1FzxBVgIiIiIpIUJsBEREREJClMgImIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiOqFy+w9+g6BqEaYABMRERGRpDABJiIiIiJJYQJMRERERJLCBJiIiIiIJIUJMBERERFJChNgIiIiIpIUJsBEREREJClMgImIiIhIUpgAExEREZGkMAEmIiIiIklplARYqVRCJpNBJpMhKytLp7YZGRliWz8/v1qNn5ubK/bRs2fPWvURHBws9rFz585a9UH/cHFxEd/Le/fuNehYFeNYWFg06DhERETUfDTaCvDkyZNRUFCA7t27i2XJycno3bs3TE1NoVAoMGDAAOzevVutXb9+/VBQUAB/f/86x3Dw4EF89913amWFhYUICwuDi4sLjIyMYGdnh7fffht5eXlq9VauXImCgoJK+63JPJqasrIyxMXFoUePHmjTpg0sLCzg4+ODH3/8Ua3eV199BW9vb1hbW8PMzAxeXl7Yv39/ncePjo5GQUEBzM3NdY4pKSmpyoT26V9QCgoKEB8fX+d4iYiIqOVotAS4bdu2sLW1haGhIQAgMjISISEh8Pf3x5kzZ3D8+HH0798fvr6+WLVqldjOyMgItra2MDEx0dq/i4sLMjIytNaxsrKClZWVeF1YWIi+ffvi4MGDSExMxOXLl7F582ZcuXIFvXr1wtWrV8W65ubmsLW11eizpvOoTnl5OW7dulXj+k97OmHXRhAEBAQEIDo6GtOmTcP58+dx+PBhODo6QqlUqiWQR44cgbe3N/bu3YtTp05h0KBBGDFiBE6fPl1l/8HBwYiKitIag0KhgK2tLWQymc4x6cLW1lYtySYiIiKC0AgGDhwoTJ8+Xbw+evSoAEBISEjQqBseHi60bt1ayMvLUysPCgoSfH19qxzD2dlZOHToUKX3rl27JgAQTp8+rVYeGhoqmJqaCgUFBWrlDx48EBwcHIRXX31Voy8Awo4dO2o9j6edP39emD17tuDg4CCEhYVprauNUqkUunXrJixbtkzIz8/XWnfTpk0CACE9PV3j3htvvCFYWVkJf/31V5Xtu3btKnz44YdV3g8KChIWLlxY5X1nZ2chLi6u1jGtW7dOMDc3r7TvJz+fCtrqV6WoqEgAIBQVFenUjohIypw/2K3vEEjiavrzWy8PwaWlpUEulyMkJETjXkREBEpLS7F9+/YGjaG8vBybNm3CuHHjNFZ2TUxMMGXKFOzfvx+FhYVV9lHbedy9exdr1qxB37590b17d5w6dQpLlizBokWLxDoxMTGQy+VaX5mZmWL9LVu24N1338XmzZvh6OiI1157DZs3b8ajR480xt+4cSM8PDwwYsSISuO+c+cODhw4UOX7dv/+fVhaWlb5vtRGXWKqD8XFxVCpVGovIiIiapkM9TFoTk4OXF1dYWRkpHHP3t4e5ubmyMnJadAY/vjjD9y7dw9dunSp9H6XLl0gCAIuX76M3r17V1pHl3mUl5dj3759SE5ORnp6Ojw8PBAYGIgdO3bAzs5Oo31oaGi1+54dHBzEP1tbW2PatGni9oHk5GRERkYiNDQUY8aMQXBwMPr27SvGrW3eFXUqExsbi7///rte9mQ/SdeYioqKIJfL6238xYsX48MPP6y3/oiIiKjp0ksCXB1BEMS9oVUJDQ1FSkqKeP3gwQP4+PigVatWYll2djacnJxqHQOAauOoro+K9nl5eXj99dfRrl07bNy4EW+88YbWtpaWlrVeZe3SpQuWLFmCmJgYrFixAvPnz8emTZt0OnGhsnmnpaUhKioKu3btgo2NjViempqqtgpeXFwMmUyGFStWiGVr167FuHHjajWfymJSKBT45ZdfNOq4u7vXqu85c+YgPDxcvFapVHB0dKxVX0RERNS06SUB9vDwwA8//ICSkhKN1dP8/HyoVKpqE5no6GhERkaK10qlEkuXLkWfPn3EMnt7+yrbW1tbw8LCAtnZ2ZXev3DhAmQyGVxdXetlHh07dkRaWhqSk5MxZswY9O3bFxMmTMDo0aMrPdEgJiYGMTExVY4NAPv27UP//v01ym/cuIHU1FRs2LAB165dw+jRo/H222+rxV3VvM+fPw9AM5HcvHkz3nnnHWzduhVDhgxRuzdy5Ei19/2DDz6Ag4MDpk2bJpZ16NBB61x0jcnAwABubm5a+9SFsbExjI2N660/IiIiarr0sgc4ICAAf/31F9auXatxb8WKFWjdujVGjRqltQ8bGxu4ubmJL0NDQzg4OGiUVcXAwAD+/v7YuHEjbt++rXbv4cOHSExMxLBhw7SuwuoyD0NDQwQEBGDfvn3Iy8vDiBEjEB8fD1tbW4wePRrp6ekoLS0V24eGhiIrK0vry9PTU6x///59JCUlYfDgwXBxccGePXswY8YM3L59G6mpqWpJa0BAAC5duoSvv/5aI+7Y2FhYWVnB29tbLEtLS0NwcDA2btyI4cOHa7RRKBRq77tCoYClpaVGmTa6xkRERERUW3pZAfby8sL06dMxc+ZMlJSUwM/PD6WlpUhJScHKlSsRHx/fKP/8vGjRInz33Xfw9vbGsmXL0L17d1y7dg3z589HaWkpVq9e3SDzsLOzw6xZszBr1iycPHkSSUlJmDhxIoKCghAbGwtA9y0Qfn5+uHr1KgIDA/H5559rXbkOCAjA1q1bERQUhOXLl2Pw4MFQqVRYvXo10tPTsXXrVpiamgL4J/mdMGECVq5cib59+4q/LJiYmNTr8WK6xERERERUF3rbAxwfH48ePXpgzZo1WLBgAWQyGV544QXs3Lmz0pMAGkL79u1x7NgxREdHIyQkBAUFBbCyssKrr76KlJSUGu0frus8PD094enpiU8++QQ3b96s9VwSExPh4eFRoz3LMpkMW7ZswcqVKxEXF4epU6fC2NgYXl5eOHToEF5++WWx7tq1a/H48WNMnToVU6dOFcuDgoKQlJRU63jrEhMRERFRXciEiqe9GpBSqUTPnj3r9I1cwcHBuHfvXq2+ECE3NxedOnXC6dOna/1VyBVkMhl27NhR669lpn++tCQsLAxhYWGNMl5SUhLCwsJ0eghQpVLB3NwcRUVFMDMza7jgiIhaEJfZe5C7RHOrHFFjqenP70bbA5yYmAi5XI6zZ8/q1C4zMxNyuRypqal1jqFfv37o169frdqGhobW67FbUvfBBx9ALpejqKioQceRy+UIDQ1t0DGIiIioeWmUFeBbt27h4cOHAAAnJ6dKz82tysOHD8WvCJbL5ZV+HXF1Hj9+jNzcXAD/PO1fm/3Fv//+u/jlCHZ2dtyPWgfXr18XH/jr3LkzDAwa7vewy5cvAwBatWqFTp061bgdV4CJiHTHFWDSt5r+/G6UPcBPfmGDrkxMTOp83JWhoWGd+7CxsVE7+5Zqz9nZudHGqs+j0oiIiKhl0MsxaERERERE+sIEmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIqF7wCDRqLpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwASYiIiIiSWECTERERESSwgSYiIiIiCSFCTARERERSQoTYCIiIiKSFCbARERERCQphvoOgKgpEgQBAKBSqfQcCREREdVUxc/tip/jVWECTFSJ+/fvAwAcHR31HAkRERHp6v79+zA3N6/yvkyoLkUmkqDy8nLk5+dDoVBAJpPpO5xKqVQqODo64saNGzAzM9N3OA1KKnOVyjwBzrUlkso8AenMtTnOUxAE3L9/H/b29jAwqHqnL1eAiSphYGCAjh076juMGjEzM2s2/2OqK6nMVSrzBDjXlkgq8wSkM9fmNk9tK78V+BAcEREREUkKE2AiIiIikhQmwETNlLGxMRYuXAhjY2N9h9LgpDJXqcwT4FxbIqnME5DOXFvyPPkQHBERERFJCleAiYiIiEhSmAATERERkaQwASYiIiIiSWECTERERESSwgSYqBlatGgR+vXrh7Zt28LCwqLSOnl5eRgxYgRMTU3Rvn17TJs2DSUlJY0baAPIycmBr68v2rdvDzMzM7z00ks4dOiQvsNqMHv27EGfPn1gYmKC9u3b44033tB3SA2muLgYPXv2hEwmQ1ZWlr7DqXe5ubl455130KlTJ5iYmMDV1RULFy5sEf9dAkBiYiI6deqENm3a4MUXX0RmZqa+Q6pXixcvRq9evaBQKGBjYwM/Pz9cvHhR32E1isWLF0MmkyEsLEzfodQbJsBEzVBJSQlGjx6N//3f/630fllZGYYPH46///4bP/zwAzZt2oTt27cjIiKikSOtf8OHD8fjx4/x/fff49SpU+jZsydef/113L59W9+h1bvt27cjMDAQb7/9Ns6cOYMff/wRb731lr7DajCzZs2Cvb29vsNoMBcuXEB5eTnWrl2Lc+fOIS4uDp999hnmzp2r79DqbPPmzQgLC8O8efNw+vRp9O/fHz4+PsjLy9N3aPXm8OHDmDp1Ko4dO4YDBw7g8ePHGDp0KP7++299h9agTpw4gc8//xw9evTQdyj1SyCiZmvdunWCubm5RvnevXsFAwMD4datW2JZWlqaYGxsLBQVFTVihPXrjz/+EAAIR44cEctUKpUAQDh48KAeI6t/paWlgoODg/Dll1/qO5RGsXfvXuHZZ58Vzp07JwAQTp8+re+QGsWyZcuETp066TuMOuvdu7cQGhqqVvbss88Ks2fP1lNEDe/3338XAAiHDx/WdygN5v79+4K7u7tw4MABYeDAgcL06dP1HVK94QowUQt09OhRdO/eXW01bdiwYSguLsapU6f0GFndWFlZoUuXLli/fj3+/vtvPH78GGvXrkWHDh3w4osv6ju8evXLL7/g1q1bMDAwwP/8z//Azs4OPj4+OHfunL5Dq3f//e9/MXnyZGzYsAFt27bVdziNqqioCJaWlvoOo05KSkpw6tQpDB06VK186NCh+Omnn/QUVcMrKioCgGb/+WkzdepUDB8+HEOGDNF3KPXOUN8BEFH9u337Njp06KBW1q5dOxgZGTXrrQIymQwHDhyAr68vFAoFDAwM0KFDB3zzzTdV7oVurq5evQoAiIqKwieffAIXFxfExsZi4MCByMnJaTE/dAVBQHBwMEJDQ+Hp6Ync3Fx9h9Rorly5gk8//RSxsbH6DqVO/vzzT5SVlWn8P6dDhw7N+v832giCgPDwcLz88svo3r27vsNpEJs2bcIvv/yCEydO6DuUBsEVYKImIioqCjKZTOvr5MmTNe5PJpNplAmCUGm5vtV07oIgYMqUKbCxsUFmZiaOHz8OX19fvP766ygoKND3NGqkpnMtLy8HAMybNw+jRo3Ciy++iHXr1kEmk2Hr1q16nkX1ajrPTz/9FCqVCnPmzNF3yLVWm/928/Pz8eqrr2L06NGYNGmSniKvX0//v6Wp/v+mPrz33nv49ddfkZaWpu9QGsSNGzcwffp0pKSkoE2bNvoOp0FwBZioiXjvvfcQEBCgtY6Li0uN+rK1tcXPP/+sVnb37l2UlpZqrNI0BTWd+/fff4/du3fj7t27MDMzA/DPk+cHDhxAcnIyZs+e3Rjh1klN53r//n0AQNeuXcVyY2NjdO7cuVk8WFTTeX788cc4duwYjI2N1e55enpi3LhxSE5Obsgw64Wu/+3m5+dj0KBB8PLywueff97A0TW89u3bo1WrVhqrvb///nuT/P9NXb3//vtIT0/HkSNH0LFjR32H0yBOnTqF33//XW1rWVlZGY4cOYJVq1ahuLgYrVq10mOEdccEmKiJaN++Pdq3b18vfXl5eWHRokUoKCiAnZ0dAODbb7+FsbFxk9wrW9O5P3jwAABgYKD+j1cGBgbiimlTV9O5vvjiizA2NsbFixfx8ssvAwBKS0uRm5sLZ2fnhg6zzmo6z4SEBHz88cfidX5+PoYNG4bNmzejT58+DRlivdHlv91bt25h0KBB4or+03+XmyMjIyO8+OKLOHDgAP71r3+J5RXblVoKQRDw/vvvY8eOHcjIyECnTp30HVKDGTx4MM6ePatW9vbbb+PZZ5/FBx980OyTX4AJMFGzlJeXh8LCQuTl5aGsrEw8M9XNzQ1yuRxDhw5F165dERgYiOXLl6OwsBCRkZGYPHmyuHLaHHl5eaFdu3YICgrC//3f/8HExARffPEFrl27huHDh+s7vHplZmaG0NBQLFy4EI6OjnB2dsby5csBAKNHj9ZzdPXHyclJ7VoulwMAXF1dW9zqWn5+PpRKJZycnLBixQr88ccf4j1bW1s9RlZ34eHhCAwMhKenp7iynZeXh9DQUH2HVm+mTp2KjRs3YteuXVAoFOKKt7m5OUxMTPQcXf1SKBQae5tNTU1hZWXVcvY86/MICiKqnaCgIAGAxuvQoUNinevXrwvDhw8XTExMBEtLS+G9994THj16pL+g68mJEyeEoUOHCpaWloJCoRD69u0r7N27V99hNYiSkhIhIiJCsLGxERQKhTBkyBDht99+03dYDeratWst9hi0devWVfrfbUv5Ubx69WrB2dlZMDIyEl544YUWdzxYVZ/dunXr9B1ao2hpx6DJBEEQGjvpJiIiIiLSl+a/+YiIiIiISAdMgImIiIhIUpgAExEREZGkMAEmIiIiIklhAkxEREREksIEmIiIiIgkhQkwEREREUkKE2AiIiIikhQmwEREEhIVFYWePXs2+DhKpRJhYWENPg41PhcXF8THx+s7DKI6YQJMRKRnwcHBkMlkkMlkaN26NTp37ozIyEj8/fff+g6tWhkZGZDJZLh3755a+VdffYWPPvqoQcaMiopCQEAAgKaTjFW8DxUvKysrvPLKK/jxxx9r1c/T72dz0KlTJ3zzzTf6DoOoRpgAExE1Aa+++ioKCgpw9epVfPzxx0hMTERkZGSldUtLSxs5Ot1ZWlpCoVA0SN/p6enw9fVtkL7r6uLFiygoKEBGRgasra0xfPhw/P777/oOq8H9+uuvuHPnDgYNGqTvUIhqhAkwEVETYGxsDFtbWzg6OuKtt97CuHHjsHPnTgD/f9vCf/7zH3Tu3BnGxsYQBAF5eXnw9fWFXC6HmZkZ/P398d///let3yVLlqBDhw5QKBR455138OjRI7X7lW1V8PPzQ3BwsHhdXFyMWbNmwdHREcbGxnB3d8e///1v5ObmiglPu3btIJPJxHZP93v37l1MmDAB7dq1Q9u2beHj44NLly6J95OSkmBhYYH9+/ejS5cukMvl4i8FT7px4wZ+++03+Pj41Oh9XbNmDVxdXWFkZIRnnnkGGzZsULsfFRUFJycnGBsbw97eHtOmTRPvJSYmwt3dHW3atEGHDh3w5ptvVjuejY0NbG1t8dxzz2H+/PkoKirCzz//LN5PSUmBp6cnFAoFbG1t8dZbb4kJsrb3UxAELFu2DJ07d4aJiQmef/55bNu2TWssLi4u+PjjjzFhwgTI5XI4Oztj165d+OOPP8S/N8899xxOnjyp1m779u3o1q0bjI2N4eLigtjY2GrnvWvXLgwbNgzGxsa4fv06RowYgXbt2sHU1BTdunXD3r17q+2DqDExASYiaoJMTEzUVnovX76MLVu2YPv27cjKygLwT6JaWFiIw4cP48CBA7hy5QrGjBkjttmyZQsWLlyIRYsW4eTJk7Czs0NiYqLOsUyYMAGbNm1CQkICzp8/j88++wxyuRyOjo7Yvn07gP+/8rly5cpK+wgODsbJkyeRnp6Oo0ePQhAEvPbaa2pzfPDgAVasWIENGzbgyJEjyMvL01gFT09Px4ABA2BhYVFt3Dt27MD06dMRERGB3377DSEhIXj77bdx6NAhAMC2bdsQFxeHtWvX4tKlS9i5cyeee+45AMDJkycxbdo0REdH4+LFi/jmm28wYMCAGr9nDx48wLp16wAArVu3FstLSkrw0Ucf4cyZM9i5cyeuXbsmJrna3s/58+dj3bp1WLNmDc6dO4cZM2Zg/PjxOHz4sNY44uLi8NJLL+H06dMYPnw4AgMDMWHCBIwfPx6//PIL3NzcMGHCBAiCAAA4deoU/P39ERAQgLNnzyIqKgoLFixAUlKS1nGeXJWfOnUqiouLceTIEZw9exZLly6FXC6v8XtH1CgEIiLSq6CgIMHX11e8/vnnnwUrKyvB399fEARBWLhwodC6dWvh999/F+t8++23QqtWrYS8vDyx7Ny5cwIA4fjx44IgCIKXl5cQGhqqNlafPn2E559/XrweOHCgMH36dLU6vr6+QlBQkCAIgnDx4kUBgHDgwIFKYz906JAAQLh7965a+ZP95uTkCACEH3/8Ubz/559/CiYmJsKWLVsEQRCEdevWCQCEy5cvi3VWr14tdOjQQa1fb29vISEhQbx2dnYW4uLiKo2tX79+wuTJk9XKRo8eLbz22muCIAhCbGys4OHhIZSUlGi03b59u2BmZiaoVKpK+35axftgamoqmJqaCjKZTAAgvPjii5X2X+H48eMCAOH+/ftq/Tz5fv71119CmzZthJ9++kmt7TvvvCOMHTu2yr6dnZ2F8ePHi9cFBQUCAGHBggVi2dGjRwUAQkFBgSAIgvDWW28J3t7eav3MnDlT6Nq1q1q/T77nN2/eFFq3bi3cuXNHEARBeO6554SoqKgq4yJqCrgCTETUBOzevRtyuRxt2rSBl5cXBgwYgE8//VS87+zsDGtra/H6/PnzcHR0hKOjo1jWtWtXWFhY4Pz582IdLy8vtXGevq5OVlYWWrVqhYEDB9ZmWmIchoaG6NOnj1hmZWWFZ555RowVANq2bQtXV1fx2s7OTm3/rEqlwuHDhzFy5Mgaj/vSSy+plb300kvimKNHj8bDhw/RuXNnTJ48GTt27MDjx48BAN7e3nB2dkbnzp0RGBiI1NRUPHjwoNoxMzMz8csvvyAtLQ3Ozs5ISkpSWwE+ffo0fH194ezsDIVCAaVSCQDIy8urss/s7Gw8evQI3t7ekMvl4mv9+vW4cuWK1nh69Ogh/rlDhw4AIK5yP1lW8T5X9Z5dunQJZWVllY6Rnp6Ol156CZaWlgCAadOm4eOPP8ZLL72EhQsX4tdff9UaI5E+MAEmImoCBg0ahKysLFy8eBGPHj3CV199BRsbG/G+qampWn1BECCTyTT6qaq8KgYGBuI/f1d4cluCiYlJjfuqytP9P1n+ZKxPJooAIJPJ1Nru27cPXbp0gbOzc43Hfvq9eHJMR0dHXLx4EatXr4aJiQmmTJmCAQMGoLS0FAqFQkxk7ezs8H//9394/vnnqz2doVOnTvDw8MCYMWPw4Ycf4l//+heKi4sBAH///TeGDh0KuVyOlJQUnDhxAjt27ADwz9aIqpSXlwMA9uzZg6ysLPGVnZ1d7T7gJ9/TinlXVlYxRmV/f6r6/Co8/VDipEmTcPXqVQQGBuLs2bPw9PRU+2WOqClgAkxE1ASYmprCzc0Nzs7OGolgZbp27Yq8vDzcuHFDLMvOzkZRURG6dOkCAOjSpQuOHTum1u7pa2tra7UHzcrKyvDbb7+J18899xzKy8ur3GtqZGQkttMW6+PHj9UeBrtz5w5ycnLEWGti165dNV79Bf6Z/w8//KBW9tNPP6mNaWJigpEjRyIhIQEZGRk4evQozp49CwAwNDTEkCFDsGzZMvz666/Izc3F999/X+PxAwMDUV5eLu67vnDhAv78808sWbIE/fv3x7PPPqtxQkRl72fXrl1hbGyMvLw8uLm5qb2e/BeA+tC1a9dK3zMPDw+0atVKo/5ff/2FQ4cOaXwujo6OCA0NxVdffYWIiAh88cUX9RonUV0Z6jsAIiLS3ZAhQ9CjRw+MGzcO8fHxePz4MaZMmYKBAwfC09MTADB9+nQEBQXB09MTL7/8MlJTU3Hu3Dl07txZ7OeVV15BeHg49uzZA1dXV8TFxamtcrq4uCAoKAgTJ05EQkICnn/+eVy/fh2///47/P394ezsDJlMht27d+O1116DiYmJxgNP7u7u8PX1xeTJk7F27VooFArMnj0bDg4ONT7O7PHjx9i3bx8OHjyoce/WrVvig4EVnJycMHPmTPj7++OFF17A4MGD8fXXX+Orr74S+0hKSkJZWRn69OmDtm3bYsOGDTAxMYGzszN2796Nq1evYsCAAWjXrh327t2L8vJyPPPMMzWKF/hndT0sLAwff/wxQkJC4OTkBCMjI3z66acIDQ3Fb7/9pnFWcmXvp0KhQGRkJGbMmIHy8nK8/PLLUKlU+OmnnyCXyxEUFFTjmKoTERGBXr164aOPPsKYMWNw9OhRrFq1qsqHJ7/55hu4u7ur/Z0KCwuDj48PPDw8cPfuXXz//fc6/aJD1Cj0tvuYiIgEQdB8CO5pCxcuVHtwrcL169eFkSNHCqampoJCoRBGjx4t3L59W63OokWLhPbt2wtyuVwICgoSZs2apdZXSUmJ8L//+7+CpaWlYGNjIyxevFjtIThBEISHDx8KM2bMEOzs7AQjIyPBzc1N+M9//iPej46OFmxtbQWZTCa2e/rhusLCQiEwMFAwNzcXTExMhGHDhgk5OTni/XXr1gnm5uZqse/YsUOo+DF18OBBoWPHjhrvgbOzswBA47Vu3TpBEAQhMTFR6Ny5s9C6dWvBw8NDWL9+vVr/ffr0EczMzARTU1Ohb9++wsGDBwVBEITMzExh4MCBQrt27QQTExOhR48ewubNmzXGr1DVw4B//fWX0K5dO2Hp0qWCIAjCxo0bBRcXF8HY2Fjw8vIS0tPTBQDC6dOntb6f5eXlwsqVK4VnnnlGaN26tWBtbS0MGzZMOHz4cJUxVfaAIABhx44d4vW1a9c0xt+2bZvQtWtXoXXr1oKTk5OwfPnyKvsdP368MG/ePLX77733nuDq6ioYGxsL1tbWQmBgoPDnn39WGSeRPsgEoZrNPURERHo2bdo0PH78uFbHuFHDKCsrg42NDfbt24fevXvrOxwinXALBBERNXndu3fX+QQLalh37tzBjBkz0KtXL32HQqQzrgATERERkaTwFAgiIiIikhQmwEREREQkKUyAiYiIiEhSmAATERERkaQwASYiIiIiSWECTERERESSwgSYiIiIiCSFCTARERERSQoTYCIiIiKSlP8HIrt5LE21sjAAAAAASUVORK5CYII=", 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" ] @@ -381,13 +516,11 @@ "cell_type": "code", "execution_count": 13, "id": "ce68cc03", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -436,7 +569,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.16" + "version": "3.9.23" } }, "nbformat": 4, diff --git a/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb b/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb index 555e49c14ce..2e54f3d4c41 100644 --- a/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb +++ b/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb @@ -14,10 +14,124 @@ "execution_count": 1, "id": "82bfbe9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n", + "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n", + "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n", + "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n", + "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n", + "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n", + "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n", + "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n", + "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n", + "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n", + "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n", + "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n", + "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-aada-48ce8e1e7ff1 is missing from the cache.\n", + "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n", + "└ @ Base loading.jl:2018\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n", + "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n", + "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n", + "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n", + "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n", + "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n", + "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n", + "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n", + "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n", + "┌ Warning: MKL_jll is not available/installed.\n", + "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n", + "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n", + "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n", + "└ @ Base.Docs docs/Docs.jl:243\n", + "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n" + ] + } + ], "source": [ - "from pyrms import rms\n", - "from diffeqpy import de\n", + "from juliacall import Main as rms\n", + "rms.seval(\"using PythonCall\")\n", + "rms.seval(\"using ReactionMechanismSimulator\")\n", + "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n", + "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" @@ -70,8 +184,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "RDKit WARNING: [20:27:05] WARNING: not removing hydrogen atom without neighbors\n", - "[20:27:05] WARNING: not removing hydrogen atom without neighbors\n" + "[22:40:45] WARNING: not removing hydrogen atom without neighbors\n" ] } ], @@ -118,7 +231,7 @@ "metadata": {}, "outputs": [], "source": [ - "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)" + "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))" ] }, { @@ -149,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 7, "id": "051a8d03", "metadata": {}, "outputs": [], @@ -158,7 +271,7 @@ "IDTs = []\n", "ts_search = np.linspace(0.44, 0.46, 10000)\n", "for abstol in abstols:\n", - " sol = de.solve(react.ode, de.CVODE_BDF(), abstol=abstol, reltol=1e-6)\n", + " sol = rms.solve(react.ode, rms.CVODE_BDF(), abstol=abstol, reltol=1e-6)\n", " IDT = ts_search[np.argmax(np.diff([sol(t)[domain.thermovariabledict[\"T\"]-1] for t in ts_search]))]\n", " IDTs.append(IDT)" ] @@ -173,7 +286,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 8, "id": "83a27c36", "metadata": {}, "outputs": [ @@ -183,13 +296,13 @@ "Text(0, 0.5, 'IDT (s)')" ] }, - "execution_count": 28, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -231,7 +344,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.16" + "version": "3.9.23" } }, "nbformat": 4, From ae29f8093f118e13db5ceaba1f4bf8596285bab0 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Mon, 14 Jul 2025 09:26:49 -0700 Subject: [PATCH 002/700] always attach RMSWriter --- rmgpy/rmg/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 11a885deed7..f7241499ae4 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -768,8 +768,8 @@ def register_listeners(self, requires_rms=False): """ self.attach(ChemkinWriter(self.output_directory)) - if requires_rms: - self.attach(RMSWriter(self.output_directory)) + + self.attach(RMSWriter(self.output_directory)) if self.generate_output_html: self.attach(OutputHTMLWriter(self.output_directory)) From 4ea146c4a7d2e51cba9cbbcefd7b71a121354d72 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Mon, 14 Jul 2025 09:39:06 -0700 Subject: [PATCH 003/700] add test that rms mechanism files are written --- test/rmgpy/rmg/mainTest.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 2a68efc73d7..c71f2bbb766 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -119,6 +119,11 @@ def test_rmg_seed_edge_library_creation(self): """Test that edge seed mechanisms are created in the correct database locations.""" assert os.path.exists(self.seedKinetics) + def test_rmg_rms_mechanism_files_creation(self): + """Test that rms mechanisms are created in the correct location.""" + assert os.path.exists(os.path.join(self.rmg.output_directory,"rms")) + assert len(os.listdir(os.path.join(self.rmg.output_directory,"rms"))) != 0 + def test_rmg_seed_works(self): """Test that the created seed libraries work. From 860897ebbbd976f954fbabeb47f6674468fc2ead Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 17 Jul 2025 21:17:51 -0400 Subject: [PATCH 004/700] use miniforge instead of miniconda to avoid `defaults` --- Dockerfile | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) diff --git a/Dockerfile b/Dockerfile index 9f63298725e..6606b33a6c2 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,5 +1,5 @@ # Parent Image -FROM ubuntu:latest +FROM condaforge/miniforge3:latest # Install Bash shell RUN ln -snf /bin/bash /bin/sh @@ -33,12 +33,6 @@ RUN wget -qO- https://install.julialang.org | sh -s -- --yes --default-channel 1 rm -rf /root/.juliaup/downloads /root/.juliaup/tmp ENV PATH="/root/.juliaup/bin:$PATH" -# Install conda -RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ - bash Miniconda3-latest-Linux-x86_64.sh -b -p /miniconda && \ - rm Miniconda3-latest-Linux-x86_64.sh -ENV PATH="/miniconda/bin:$PATH" - # Set Bash as the default shell for following commands SHELL ["/bin/bash", "-c"] @@ -98,3 +92,4 @@ RUN rm -rf examples/rmg/rms_constant_V/* && \ RUN conda init RUN echo "conda activate rmg_env" >> ~/.bashrc ENTRYPOINT ["/bin/bash", "--login"] + From 86f3306f333eceb56aaac7e39824e9fc2c9b5148 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 17 Jul 2025 21:45:29 -0400 Subject: [PATCH 005/700] improve rmg_env activation --- Dockerfile | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/Dockerfile b/Dockerfile index 6606b33a6c2..3e9b22fe7cc 100644 --- a/Dockerfile +++ b/Dockerfile @@ -88,8 +88,7 @@ RUN python rmg.py examples/rmg/rms_constant_V/input.py RUN rm -rf examples/rmg/rms_constant_V/* && \ git checkout -- examples/rmg/rms_constant_V/ -# when running this image, open an interactive bash terminal inside the conda environment -RUN conda init -RUN echo "conda activate rmg_env" >> ~/.bashrc +# when running this image, open an interactive bash terminal inside the rmg_env conda environment +RUN sed -i '/\. \/opt\/conda\/etc\/profile.d\/conda.sh && conda activate base/c\. /opt/conda/etc/profile.d/conda.sh && conda activate rmg_env' ~/.bashrc ENTRYPOINT ["/bin/bash", "--login"] From bcb865329969ecec90ec9f776ffbeb585e8b779a Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 20 Jul 2025 14:50:14 -0400 Subject: [PATCH 006/700] Simplify sed command in Dockerfile --- Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 3e9b22fe7cc..2e462e3475e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -89,6 +89,6 @@ RUN rm -rf examples/rmg/rms_constant_V/* && \ git checkout -- examples/rmg/rms_constant_V/ # when running this image, open an interactive bash terminal inside the rmg_env conda environment -RUN sed -i '/\. \/opt\/conda\/etc\/profile.d\/conda.sh && conda activate base/c\. /opt/conda/etc/profile.d/conda.sh && conda activate rmg_env' ~/.bashrc +RUN sed -i 's/conda activate base/conda activate rmg_env/' ~/.bashrc ENTRYPOINT ["/bin/bash", "--login"] From 77b271120a5bd79029453ad4c0dd3b052bcbde9d Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 24 Jul 2025 21:45:41 -0400 Subject: [PATCH 007/700] Avoid Accidental `conda` Uploads The current `conda_build` action is overwriting the currently uploaded version of RMG 3.3.0 every time it is run (including on pushes to `main`, PRs, etc.) because - for some absolutely STUPID reason - if you pass the `--user` and `--token` arguments to `conda build` it will upload the built binary REGARDLESS of if automatic uploads are enabled. This slightly shuffles around the logic to avoid this --- .github/workflows/conda_build.yml | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 9e5b0e874ab..5aa98f3acab 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -40,11 +40,6 @@ jobs: - name: Install Build Tools run: conda install python anaconda-client conda-build - - name: Configure Auto-Upload - if: github.ref == 'refs/heads/stable' - run: | - conda config --set anaconda_upload yes - - name: Build Binary run: | # set a default value to the conda_token if needed (like from forks) @@ -53,7 +48,13 @@ jobs: echo "CONDA_TOKEN=$CONDA_TOKEN" >> $GITHUB_ENV conda config --add channels rmg conda config --add channels conda-forge - CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build --token $CONDA_TOKEN --user rmg . + conda config --set anaconda_upload no + CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build . + + - name: Upload Built Binaries + if: github.event_name == 'push' && github.ref == 'refs/heads/stable' + run: | + conda --token ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output) result: if: ${{ always() }} From efed5dde393d40fdab467ef51f9f1437d6b94e8c Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 24 Jul 2025 21:46:57 -0400 Subject: [PATCH 008/700] also perform upload on workflow dispatch so that I can fix this mess --- .github/workflows/conda_build.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 5aa98f3acab..f369d73eed4 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -52,7 +52,9 @@ jobs: CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build . - name: Upload Built Binaries - if: github.event_name == 'push' && github.ref == 'refs/heads/stable' + if: > + (github.event_name == 'push' && github.ref == 'refs/heads/stable') || + (github.event_name == 'workflow_dispatch' && github.ref == 'refs/heads/stable') run: | conda --token ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output) From 6d005de09bda1237f464eed5dcfd4fc672281e0b Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 24 Jul 2025 21:49:22 -0400 Subject: [PATCH 009/700] fix build command --- .github/workflows/conda_build.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index f369d73eed4..7c6a7b32f5b 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -56,7 +56,7 @@ jobs: (github.event_name == 'push' && github.ref == 'refs/heads/stable') || (github.event_name == 'workflow_dispatch' && github.ref == 'refs/heads/stable') run: | - conda --token ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output) + anaconda -t ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output) result: if: ${{ always() }} From 420f93aca360353769892c2ca75230a1f35a3e67 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 19 Dec 2024 10:01:25 -0500 Subject: [PATCH 010/700] Report which family kinetics came from in comment. For auto-generated trees, the reaction family was not reported in the kinetics comment. Now it is. (Also replaced some format() calls with f-strings) --- rmgpy/data/kinetics/rules.py | 16 +++++++--------- 1 file changed, 7 insertions(+), 9 deletions(-) diff --git a/rmgpy/data/kinetics/rules.py b/rmgpy/data/kinetics/rules.py index d20a4a6ce4f..7a71070937b 100644 --- a/rmgpy/data/kinetics/rules.py +++ b/rmgpy/data/kinetics/rules.py @@ -367,20 +367,18 @@ def estimate_kinetics(self, template, degeneracy=1): kinetics = deepcopy(entry.data) if entry0 == entry: - kinetics.comment = "Estimated from node {}".format(entry.label) + kinetics.comment = f"Estimated from node {entry.label} in family {self.label.replace('/rules','')}." kinetics.A.value_si *= degeneracy if degeneracy > 1: - kinetics.comment += "\n" - kinetics.comment += "Multiplied by reaction path degeneracy {0}".format(degeneracy) - return kinetics,entry + kinetics.comment += f"\nMultiplied by reaction path degeneracy {degeneracy}" + return kinetics, entry else: - kinetics.comment = "Matched node {}\n".format(entry0.label) - kinetics.comment += "Estimated from node {}".format(entry.label) + kinetics.comment = f"Matched node {entry0.label}\n" + kinetics.comment += f"Estimated from node {entry.label} in family {self.label.replace('/rules','')}." kinetics.A.value_si *= degeneracy if degeneracy > 1: - kinetics.comment += "\n" - kinetics.comment += "Multiplied by reaction path degeneracy {0}".format(degeneracy) - return kinetics,None + kinetics.comment += f"\nMultiplied by reaction path degeneracy {degeneracy}" + return kinetics, None original_leaves = get_template_label(template) template_list = [template] From b08be3fb51b75761f8a08d72cc14715ec7233828 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 19 Dec 2024 10:03:10 -0500 Subject: [PATCH 011/700] If a pdep network causes problems, improve logging for debugging. If a pdep network is going to cause the job to crash with an InvalidMicrocanonicalRateError, then report a summary of the troublesome network and draw a PDF of it before crashing, to make it easier to figure out what's wrong. --- rmgpy/pdep/network.py | 1 + rmgpy/rmg/pdep.py | 10 ++++++++-- 2 files changed, 9 insertions(+), 2 deletions(-) diff --git a/rmgpy/pdep/network.py b/rmgpy/pdep/network.py index d3dafa5ae54..7aa2d143012 100644 --- a/rmgpy/pdep/network.py +++ b/rmgpy/pdep/network.py @@ -408,6 +408,7 @@ def set_conditions(self, T, P, ymB=None): logging.error("Increasing number of grains did not decrease error enough " "(Current badness: {0:.1f}, previous {1:.1f}). Something must be wrong with " "network {2}".format(badness, previous_error.badness(), self.label)) + self.log_summary() raise error previous_error = error success = False diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 834f0f72432..f5433cd7a23 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -44,7 +44,7 @@ import rmgpy.reaction from rmgpy.constants import R from rmgpy.data.kinetics.library import LibraryReaction -from rmgpy.exceptions import PressureDependenceError, NetworkError +from rmgpy.exceptions import PressureDependenceError, NetworkError, InvalidMicrocanonicalRateError from rmgpy.pdep import Configuration from rmgpy.rmg.react import react_species from rmgpy.statmech import Conformer @@ -876,7 +876,13 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): # Calculate the rate coefficients self.initialize(Tmin, Tmax, Pmin, Pmax, maximum_grain_size, minimum_grain_count, active_j_rotor, active_k_rotor, rmgmode) - K = self.calculate_rate_coefficients(Tlist, Plist, method) + try: + K = self.calculate_rate_coefficients(Tlist, Plist, method) + except InvalidMicrocanonicalRateError: + if output_directory: + job.draw(output_directory, file_format='pdf') + logging.info(f"Network {self.index} has been drawn and saved as a pdf in {output_directory}.") + raise # Generate PDepReaction objects configurations = [] From af7e324f40a10d021c6b18a345396feb43499aaf Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 16 Jul 2025 16:21:58 -0400 Subject: [PATCH 012/700] PressureDependenceJob.draw(output_directory) now takes optional filename_stem argument. Instead of it always being called network.pdf you can now change what it's called. Default is still network.pdf, and argument order is preserved if you call as ordered arguments, for backwards compatibility. This new feature is used when saving the diagram in the case of an InvalidMicrocanonicalRateError --- arkane/pdep.py | 8 ++++++-- rmgpy/rmg/pdep.py | 2 +- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/arkane/pdep.py b/arkane/pdep.py index 60fb0fd05d5..7f0e6b22d31 100644 --- a/arkane/pdep.py +++ b/arkane/pdep.py @@ -618,7 +618,7 @@ def plot(self, output_directory): plt.savefig(os.path.join(output_directory, 'plots', 'kinetics_{0:d}.pdf'.format(count))) plt.close() - def draw(self, output_directory, file_format='pdf'): + def draw(self, output_directory, file_format='pdf', filename_stem='network'): """ Generate a PDF drawing of the pressure-dependent reaction network. This requires that Cairo and its Python wrapper be available; if not, @@ -626,6 +626,10 @@ def draw(self, output_directory, file_format='pdf'): You may also generate different formats of drawings, by changing format to one of the following: `pdf`, `svg`, `png`. + + The default filename stem is 'network', which will result in a file + named 'network.pdf' in the specified output directory. You can change + this by passing a different `filename_stem` argument. """ # Skip this step if cairo is not installed @@ -639,7 +643,7 @@ def draw(self, output_directory, file_format='pdf'): from rmgpy.pdep.draw import NetworkDrawer - path = os.path.join(output_directory, 'network.' + file_format) + path = os.path.join(output_directory, f'{filename_stem}.{file_format}') NetworkDrawer().draw(self.network, file_format=file_format, path=path) diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index f5433cd7a23..8546519b59d 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -880,7 +880,7 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): K = self.calculate_rate_coefficients(Tlist, Plist, method) except InvalidMicrocanonicalRateError: if output_directory: - job.draw(output_directory, file_format='pdf') + job.draw(output_directory, filename_stem=f'network{self.index:d}_{len(self.isomers)}', file_format='pdf') logging.info(f"Network {self.index} has been drawn and saved as a pdf in {output_directory}.") raise From a364d08b00989f5e1746fd0632db3d9ff26fab76 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 16 Jul 2025 16:30:24 -0400 Subject: [PATCH 013/700] Make drawing all PES diagrams an option in the input file. You can set generatePESDiagrams=True in the options() block of an input file if you want to save them all. This is presumably a runtime penalty, or at least a hard disk space penalty, and probably shouldn't be a default. Default is False. Fixup: When the pdep_settings was made from an Arkane explorer job rather than an RMG run, the generate_PES_diagrams attribute does not exist. So we now assume False if not specified. --- documentation/source/users/rmg/input.rst | 3 +++ examples/rmg/1,3-hexadiene/input.py | 1 + examples/rmg/commented/input.py | 2 ++ examples/rmg/ethane-oxidation/input.py | 1 + rmgpy/rmg/input.py | 6 +++++- rmgpy/rmg/main.py | 3 +++ rmgpy/rmg/pdep.py | 2 ++ 7 files changed, 17 insertions(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 1106f3a341f..e9198d568d4 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -965,6 +965,7 @@ Miscellaneous options:: units='si', generateOutputHTML=True, generatePlots=False, + generatePESDiagrams=False, saveSimulationProfiles=True, verboseComments=False, saveEdgeSpecies=True, @@ -986,6 +987,8 @@ HTML file for your model containing all the species and reactions. Turning this Setting ``generatePlots`` to ``True`` will generate a number of plots describing the statistics of the RMG job, including the reaction model core and edge size and memory use versus execution time. These will be placed in the output directory in the plot/ folder. +Setting ``generatePESDiagrams`` to ``True`` will generate potential energy surface diagrams for each pressure dependent network in the model. These diagrams will be saved in the ``pdep/`` folder in the output directory. Only applicable if pressure dependence is enabled. + Setting ``saveSimulationProfiles`` to ``True`` will make RMG save csv files of the simulation in .csv files in the ``solver/`` folder. The filename will be ``simulation_1_26.csv`` where the first number corresponds to the reaciton system, and the second number corresponds to the total number of species at the point of the simulation. Therefore, the highest second number will indicate the latest simulation that RMG has complete while enlarging the core model. The information inside the csv file will provide the time, reactor volume in m^3, as well as mole fractions of the individual species. Setting ``verboseComments`` to ``True`` will make RMG generate chemkin files with complete verbose commentary for the kinetic and thermo parameters. This will be helpful in debugging what values are being averaged for the kinetics. Note that this may produce very large files. diff --git a/examples/rmg/1,3-hexadiene/input.py b/examples/rmg/1,3-hexadiene/input.py index 8ccf652c15f..b335150a2d9 100644 --- a/examples/rmg/1,3-hexadiene/input.py +++ b/examples/rmg/1,3-hexadiene/input.py @@ -89,4 +89,5 @@ units='si', generateOutputHTML=False, generatePlots=False, + generatePESDiagrams=True, ) diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 6cc5173c9f3..0d6c78b5fea 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -217,6 +217,8 @@ generateOutputHTML=True, # generates plots of the RMG's performance statistics. Not helpful if you just want a model. generatePlots=False, + # generates potential energy surface diagrams for pressure dependent networks in the model. + generatePESDiagrams=False, # saves mole fraction of species in 'solver/' to help you create plots saveSimulationProfiles=False, # gets RMG to output comments on where kinetics were obtained in the chemkin file. diff --git a/examples/rmg/ethane-oxidation/input.py b/examples/rmg/ethane-oxidation/input.py index 64fdfbd67c4..f5c378e0693 100644 --- a/examples/rmg/ethane-oxidation/input.py +++ b/examples/rmg/ethane-oxidation/input.py @@ -67,4 +67,5 @@ units='si', generateOutputHTML=False, generatePlots=False, + generatePESDiagrams=True, ) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 05a5569efd0..8c34e815d45 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1369,7 +1369,7 @@ def pressure_dependence( def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=False, units='si', saveRestartPeriod=None, - generateOutputHTML=False, generatePlots=False, saveSimulationProfiles=False, verboseComments=False, + generateOutputHTML=False, generatePlots=False, generatePESDiagrams=False, saveSimulationProfiles=False, verboseComments=False, saveEdgeSpecies=False, keepIrreversible=False, trimolecularProductReversible=True, wallTime='00:00:00:00', saveSeedModulus=-1): if saveRestartPeriod: @@ -1386,6 +1386,9 @@ def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=Fals logging.warning('Generate Output HTML option was turned on. Note that this will slow down model generation.') rmg.generate_output_html = generateOutputHTML rmg.generate_plots = generatePlots + rmg.generate_PES_diagrams = generatePESDiagrams + if generatePESDiagrams: + logging.info('Potential Energy Surface diagrams will be generated in the "pdep" folder.') rmg.save_simulation_profiles = saveSimulationProfiles rmg.verbose_comments = verboseComments if saveEdgeSpecies: @@ -1835,6 +1838,7 @@ def save_input_file(path, rmg): f.write(' units = "{0}",\n'.format(rmg.units)) f.write(' generateOutputHTML = {0},\n'.format(rmg.generate_output_html)) f.write(' generatePlots = {0},\n'.format(rmg.generate_plots)) + f.write(' generatePESDiagrams = {0},\n'.format(rmg.generate_PES_diagrams)) f.write(' saveSimulationProfiles = {0},\n'.format(rmg.save_simulation_profiles)) f.write(' saveEdgeSpecies = {0},\n'.format(rmg.save_edge_species)) f.write(' keepIrreversible = {0},\n'.format(rmg.keep_irreversible)) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index f7241499ae4..88ea75ff4cc 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -143,6 +143,7 @@ class RMG(util.Subject): `units` The unit system to use to save output files (currently must be 'si') `generate_output_html` ``True`` to draw pictures of the species and reactions, saving a visualized model in an output HTML file. ``False`` otherwise `generate_plots` ``True`` to generate plots of the job execution statistics after each iteration, ``False`` otherwise + `generate_PES_diagrams` ``True`` to generate potential energy surface diagrams for pressure dependent networks in the model, ``False`` otherwise `verbose_comments` ``True`` to keep the verbose comments for database estimates, ``False`` otherwise `save_edge_species` ``True`` to save chemkin and HTML files of the edge species, ``False`` otherwise `keep_irreversible` ``True`` to keep ireversibility of library reactions as is ('<=>' or '=>'). ``False`` (default) to force all library reactions to be reversible ('<=>') @@ -222,6 +223,7 @@ def clear(self): self.units = "si" self.generate_output_html = None self.generate_plots = None + self.generate_PES_diagrams = None self.save_simulation_profiles = None self.verbose_comments = None self.save_edge_species = None @@ -271,6 +273,7 @@ def load_input(self, path=None): if self.pressure_dependence: self.pressure_dependence.output_file = self.output_directory self.reaction_model.pressure_dependence = self.pressure_dependence + self.pressure_dependence.generate_PES_diagrams = self.generate_PES_diagrams if self.solvent: self.reaction_model.solvent_name = self.solvent diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 8546519b59d..464aadaee6a 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -872,6 +872,8 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): if output_directory: job.save_input_file( os.path.join(output_directory, 'pdep', 'network{0:d}_{1:d}.py'.format(self.index, len(self.isomers)))) + if getattr(pdep_settings, 'generate_PES_diagrams', False): + job.draw(os.path.join(output_directory, 'pdep'), filename_stem=f'network{self.index:d}_{len(self.isomers):d}', file_format='pdf') # Calculate the rate coefficients self.initialize(Tmin, Tmax, Pmin, Pmax, maximum_grain_size, minimum_grain_count, active_j_rotor, active_k_rotor, From d7cb5cb684d977eba6c6e410258bf8a6a599bab6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 23 Jul 2025 23:40:35 -0300 Subject: [PATCH 014/700] Allow comment parsing to not die from "in family __" comment. It doesn't actually _parse_ the new comment to figure out what family the thing comes from, but in most contexts it is not needed. At least now it doesn't crash. Also added the new phrase to at least one item in the testing examples so the unit tests could catch this. Co-authored-by: Richard West Co-authored-by: Sevy Harris --- rmgpy/data/kinetics/family.py | 1 + test/rmgpy/test_data/parsing_data/chem_annotated.inp | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 102c5f13ff5..4bb0ee949e7 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4487,6 +4487,7 @@ def extract_source_from_comments(self, reaction): template_matches = re.search(template_pattern, full_comment_string) if autogen_node_matches is not None: # autogenerated trees template_str = autogen_node_matches.group(1).split('Multiplied by reaction path degeneracy')[0].strip() + template_str = template_str.split('in family')[0].strip() tokens = template_str.split() if len(tokens) == 2: # The node was probably split because wordwrap was turned off assert len(template_str) > 115, 'The node name is too short to have been broken up by the chemkin writer' diff --git a/test/rmgpy/test_data/parsing_data/chem_annotated.inp b/test/rmgpy/test_data/parsing_data/chem_annotated.inp index dbeb771e6f7..2e81aa0fa76 100644 --- a/test/rmgpy/test_data/parsing_data/chem_annotated.inp +++ b/test/rmgpy/test_data/parsing_data/chem_annotated.inp @@ -259,7 +259,7 @@ HCCO(23)(+M)=O(2)+C2H(21)(+M) 1.000e+00 0.000 0.000 ! Reaction index: Chemkin #25; RMG #97 ! Template reaction: Disproportionation ! Flux pairs: CH3CHCH3, C3H6(28); C2H5(27), C2H6; -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C in family Disproportionation. ! Multiplied by reaction path degeneracy 6.0 C2H5(27)+CH3CHCH3<=>C2H6+C3H6(28) 3.000e+11 0.000 0.000 From 0ed78ec087dec96d65e393bca6e911ca40eb4f92 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 23 Jul 2025 23:46:43 -0300 Subject: [PATCH 015/700] Tweak comment about saving network pdf for debugging. --- rmgpy/rmg/pdep.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 464aadaee6a..54d62df1067 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -882,8 +882,9 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): K = self.calculate_rate_coefficients(Tlist, Plist, method) except InvalidMicrocanonicalRateError: if output_directory: - job.draw(output_directory, filename_stem=f'network{self.index:d}_{len(self.isomers)}', file_format='pdf') - logging.info(f"Network {self.index} has been drawn and saved as a pdf in {output_directory}.") + filename_stem = f'network{self.index:d}_{len(self.isomers):d}' + job.draw(output_directory, filename_stem=filename_stem, file_format='pdf') + logging.info(f"Network {self.index} has been drawn and saved as {filename_stem}.pdf in {output_directory} to aid debugging.") raise # Generate PDepReaction objects From bb27fe9f1267820a2f8d2e30f09019de1f885397 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 6 Sep 2025 14:16:19 +0300 Subject: [PATCH 016/700] Fix Li atom type defs --- rmgpy/molecule/atomtype.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/atomtype.py b/rmgpy/molecule/atomtype.py index 960648c6ee5..3a48f95f482 100644 --- a/rmgpy/molecule/atomtype.py +++ b/rmgpy/molecule/atomtype.py @@ -374,7 +374,7 @@ def get_features(self): ATOMTYPES['Li'] = AtomType('Li', generic=['R', 'R!H', 'R!H!Val7'], specific=['Li0','Li+'], single=[0,1], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[0,1]) -ATOMTYPES['Li0'] = AtomType('Li', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[], +ATOMTYPES['Li0'] = AtomType('Li0', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[], single=[0,1], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[0]) ATOMTYPES['Li+'] = AtomType('Li+', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[], single=[0], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[1]) @@ -720,7 +720,7 @@ def get_features(self): ATOMTYPES['H+'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=['H0']) ATOMTYPES['Li'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li'], break_bond=['Li'], increment_radical=['Li'], decrement_radical=['Li'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li'], decrement_charge=['Li']) -ATOMTYPES['Li0'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li0'], break_bond=['Li0'], increment_radical=['Li0'], decrement_radical=['H0'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li+'], decrement_charge=[]) +ATOMTYPES['Li0'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li0'], break_bond=['Li0'], increment_radical=['Li0'], decrement_radical=['Li0'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li+'], decrement_charge=[]) ATOMTYPES['Li+'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=['Li0']) ATOMTYPES['He'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=['He'], decrement_radical=['He'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=[]) From a240f3a8112b305f06857a7fd46bd797426aaf36 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 6 Sep 2025 14:19:24 +0300 Subject: [PATCH 017/700] Tests: Added Li atom type tests --- test/rmgpy/molecule/atomtypeTest.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/atomtypeTest.py b/test/rmgpy/molecule/atomtypeTest.py index fc796fbbd5b..fb9ab3c5edb 100644 --- a/test/rmgpy/molecule/atomtypeTest.py +++ b/test/rmgpy/molecule/atomtypeTest.py @@ -824,7 +824,10 @@ def setup_class(self): """1 C u0 p0 c+1 {2,T} 2 C u0 p1 c-1 {1,T}""" ) - + + self.mol96 = Molecule().from_adjacency_list('''1 Li u0 p0 c+1''') + self.mol97 = Molecule().from_adjacency_list('''1 Li u1 p0 c0''') + self.electron = Molecule().from_adjacency_list('''1 e u1 p0 c-1''') self.proton = Molecule().from_adjacency_list('''1 H u0 p0 c+1''') @@ -992,6 +995,13 @@ def test_fluorine_types(self): """ assert self.atom_type(self.mol75, 1) == "F1s" + def test_lithium_types(self): + """ + Test that get_atomtype() returns appropriate lithium atom types. + """ + assert self.atom_type(self.mol96, 0) == "Li+" + assert self.atom_type(self.mol97, 0) == "Li0" + def test_other_types(self): """ Test that get_atomtype() returns appropriate types for other misc inerts. From 26933b90e45b94620f3fb7384139a6b10428efa5 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 6 Sep 2025 15:23:17 +0300 Subject: [PATCH 018/700] Minor: typo fix in atomtype.py --- rmgpy/molecule/atomtype.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/atomtype.py b/rmgpy/molecule/atomtype.py index 3a48f95f482..5511f55dbd9 100644 --- a/rmgpy/molecule/atomtype.py +++ b/rmgpy/molecule/atomtype.py @@ -911,7 +911,7 @@ def get_atomtype(atom, bonds): # Use element and counts to determine proper atom type atom_symbol = atom.symbol - # These elements do not do not have a more specific atomtype + # These elements do not have a more specific atomtype if atom_symbol in nonSpecifics: return ATOMTYPES[atom_symbol] From 3ebdd4d2d0773845269c67be9a3e43ccb6733e49 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 9 Sep 2025 17:47:22 -0400 Subject: [PATCH 019/700] explicitly forbid default in environment file --- environment.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment.yml b/environment.yml index 591acb91a51..da840c1ab48 100644 --- a/environment.yml +++ b/environment.yml @@ -26,6 +26,7 @@ name: rmg_env channels: - conda-forge - rmg + - nodefaults dependencies: # System-level dependencies - we could install these at the OS level # but by installing them in the conda environment we get better control From e7490fe5342621a778ff80b3b3505ac2944e0ae3 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 9 Sep 2025 17:47:45 -0400 Subject: [PATCH 020/700] add develop instructions about `.condarc` --- .../users/rmg/installation/anacondaDeveloper.rst | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index 0b836246a44..b453cd55511 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -81,6 +81,19 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux source ~/.zshrc + NOTE: You may wish to forbid ``conda`` from installing from the Anaconda channels due to licensing restrictions. + The ``environment.yml`` file already forbids using default channels, but you may further add the file ``.condarc`` to your RMG-Py directory (or modify the ``.condarc`` in your home directory) with the following contents before running the ``conda env create`` command: + + channels: + - conda-forge + - nodefaults + channel_priority: strict + custom_channels: + main: null + r: null + anaconda: null + msys2: null + #. Activate conda environment :: conda activate rmg_env From 5db837e0f929e0a3da27d648cad5c207e05e1aeb Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Wed, 10 Sep 2025 09:49:22 -0400 Subject: [PATCH 021/700] fix rendering of code block RE: review comment --- .../source/users/rmg/installation/anacondaDeveloper.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index b453cd55511..ffe37dc68b8 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -82,7 +82,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux source ~/.zshrc NOTE: You may wish to forbid ``conda`` from installing from the Anaconda channels due to licensing restrictions. - The ``environment.yml`` file already forbids using default channels, but you may further add the file ``.condarc`` to your RMG-Py directory (or modify the ``.condarc`` in your home directory) with the following contents before running the ``conda env create`` command: + The ``environment.yml`` file already forbids using default channels, but you may further add the file ``.condarc`` to your RMG-Py directory (or modify the ``.condarc`` in your home directory) with the following contents before running the ``conda env create`` command: :: channels: - conda-forge From de2802bd6d36bf4b7867c66f95b82096d5398cc6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 15 Oct 2025 15:38:13 -0400 Subject: [PATCH 022/700] Test more molecules in test_is_bicyclic1. These should all be bicyclic. --- test/rmgpy/data/thermoTest.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index 7d5db15a616..7cb4aebff13 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -2102,11 +2102,11 @@ def test_is_bicyclic1(self): The test molecule is bicyclic, we expect is_bicyclic() returns True. """ - smiles = "C1=CCC2C1=C2" - mol = Molecule().from_smiles(smiles) - polyring = mol.get_disparate_cycles()[1][0] - - assert is_bicyclic(polyring) + for smiles in ["C1=CCC2C1=C2", "C1=CC2C=CC1=CC2", "C1=CC2C=CC=1C=C2"]: + mol = Molecule().from_smiles(smiles) + polyrings = mol.get_disparate_cycles()[1] + assert len(polyrings) == 1 + assert is_bicyclic(polyrings[0]) def test_is_bicyclic2(self): """ From 75cabc27ca954d50093ec9b64efd80e2988711cf Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 15 Oct 2025 15:43:26 -0400 Subject: [PATCH 023/700] Add test_deterministic_bicyclic_decomposition Test that the decomposition of a polyring into bicyclics and then into single rings is deterministic. This is important because the thermo estimation depends on the order of the rings. Currently this is not guaranteed, so if this test fails, we just skip it. See https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2562 --- test/rmgpy/data/thermoTest.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index 7cb4aebff13..a7c11e9fcd2 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -2272,6 +2272,32 @@ def test_bicyclic_decomposition_for_polyring_using_alkane_tricyclic(self): expected_aromatic_bond_num_in_bicyclics = [0, 0, 0] assert aromatic_bond_num_in_bicyclics == expected_aromatic_bond_num_in_bicyclics + def test_deterministic_bicyclic_decomposition(self): + """ + Test that the decomposition of a polyring into bicyclics and then into single rings + is deterministic. This is important because the thermo estimation depends on the + order of the rings. Currently this is not guaranteed, so if this test fails, we + just skip it. + + See https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2562 + """ + mol = Molecule(smiles="C1=CC2C=CC=1C=C2") + polyrings = mol.get_disparate_cycles()[1] + assert len(polyrings) == 1 + assert rmgpy.data.thermo.is_bicyclic(polyrings[0]) + polyring = polyrings[0] + submol = rmgpy.data.thermo.convert_ring_to_sub_molecule(polyring)[0] + rings = rmgpy.data.thermo.split_bicyclic_into_single_rings(submol) + assert len(rings) == 2 + ring_smiles = [ring.to_smiles() for ring in rings] + for smiles in ring_smiles: + assert smiles in ["C1C=CC=C=C1", "C1C=CCC=C1"] + # Ensure that the order is the same every time + try: + assert ring_smiles == ["C1C=CC=C=C1", "C1C=CCC=C1"] + except AssertionError as e: + pytest.skip(f"Skipping because not yet deterministic (#2562): {e}") + def test_combine_cycles(self): """ This method tests the combine_cycles method, which simply joins two lists From d65c5f357fd9be37f4eec7ce0b05d3bc02bb6e6a Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Mon, 27 Oct 2025 08:29:12 +0200 Subject: [PATCH 024/700] Load structure multiplicity if given in the Arkane input file --- arkane/input.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/arkane/input.py b/arkane/input.py index 2e7788b46d1..0a199dadc7b 100644 --- a/arkane/input.py +++ b/arkane/input.py @@ -186,6 +186,8 @@ def species(label, *args, **kwargs): raise TypeError('species() got an unexpected keyword argument {0!r}.'.format(key)) if structure: + if spin_multiplicity: + structure.multiplicity = spin_multiplicity spec.molecule = [structure] spec.conformer = Conformer(E0=E0, modes=modes, spin_multiplicity=spin_multiplicity, optical_isomers=optical_isomers) From 269a878965265610e48056b3673e169f2b4ab6e0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 1 Dec 2025 23:06:45 -0500 Subject: [PATCH 025/700] Fix parsing of active conda environment in env list Conda's `info --envs` output now includes header lines with `*`. Filter out comment lines and use AWK to select the row containing `*`, extracting the environment name from the first field. --- install_rms.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/install_rms.sh b/install_rms.sh index 9996cc694ed..534c6feffa3 100644 --- a/install_rms.sh +++ b/install_rms.sh @@ -38,7 +38,7 @@ julia_path=$(which julia) echo "Julia 1.10 binary path: $julia_path" # Get current conda environment name -current_env=$(conda info --envs | grep '\*' | awk '{print $1}') +current_env=$(conda info --envs | grep -v '^#' | awk '/\*/{print $1}') echo "Current conda environment: $current_env" # Set environment variables for the current environment, for future uses From 0530efd7b602c2b8e03e03bc101068f8d82cd649 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 1 Dec 2025 23:11:48 -0500 Subject: [PATCH 026/700] Print the currently used Project.toml in the log, for debugging. --- install_rms.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/install_rms.sh b/install_rms.sh index 534c6feffa3..8dc635214a0 100644 --- a/install_rms.sh +++ b/install_rms.sh @@ -62,7 +62,7 @@ env | grep JULIA RMS_BRANCH=${RMS_BRANCH:-for_rmg} echo "Installing ReactionMechanismSimulator from branch: $RMS_BRANCH" -julia -e "using Pkg; Pkg.add(Pkg.PackageSpec(name=\"ReactionMechanismSimulator\", url=\"https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git\", rev=\"$RMS_BRANCH\")); using ReactionMechanismSimulator; Pkg.instantiate()" || echo "RMS install error - continuing anyway ¯\_(ツ)_/¯" +julia -e "using Pkg; Pkg.add(Pkg.PackageSpec(name=\"ReactionMechanismSimulator\", url=\"https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git\", rev=\"$RMS_BRANCH\")); using ReactionMechanismSimulator; println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), \"..\", \"Project.toml\"), String)); Pkg.instantiate()" || echo "RMS install error - continuing anyway." echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." python -c "from juliacall import Main; import sys; sys.exit(0 if Main.seval('Base.identify_package(\"ReactionMechanismSimulator\") !== nothing') and print('ReactionMechanismSimulator is installed in $current_env') is None else 1)" From 26afbdfe95b09fb044570f6e748de6d0a489dc69 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Dec 2025 13:54:57 -0500 Subject: [PATCH 027/700] Fix regression tests coming back from the dead. If it had been more than 15 runs (approx 15 days) since the last succesful baseline reference job, then all regression tests would fail. Furthermore, even the baseline reference job, would fail, making it impossible to get started again. Now, it checks the last 60 runs instead of the last 15, and it doesn't bother checking if you're running a reference job - so we should be able to resume even if there are no succesful results in the past. --- .github/workflows/CI.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index e815da269d9..936c319b1ee 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -239,13 +239,14 @@ jobs: # Retrieve Stable Results for reference - name: Find ID of Reference Results + if: ${{ env.REFERENCE_JOB == 'false' }} env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} # this will search for the last successful execution of CI on main run: | - run_id=$(gh run list -R ReactionMechanismGenerator/RMG-Py --workflow="Continuous Integration" --branch main --limit 15 --json databaseId,conclusion --jq 'map(select(.conclusion == "success")) | .[0].databaseId') + run_id=$(gh run list -R ReactionMechanismGenerator/RMG-Py --workflow="Continuous Integration" --branch main --limit 60 --json databaseId,conclusion --jq 'map(select(.conclusion == "success")) | .[0].databaseId') if [ -z "$run_id" ] || [ "$run_id" = "null" ]; then - echo "::error::No successful reference run found" + echo "::error::No successful reference run found in last 60 runs." exit 1 fi echo "CI_RUN_ID=$run_id" >> $GITHUB_ENV From 2baa13374ec5401f6927be1a33f0bc076d944c08 Mon Sep 17 00:00:00 2001 From: Calvin <56573970+calvinp0@users.noreply.github.com> Date: Wed, 26 Nov 2025 12:51:12 +0200 Subject: [PATCH 028/700] Small fix - added missing period --- rmgpy/tools/canteramodel.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 15d26c29472..17f98095581 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -126,7 +126,7 @@ def __repr__(self): string += 'mol_frac={0}, '.format(self.mol_frac.__repr__()) if self.T0: string += 'T0={}, '.format(self.T0.__repr__()) if self.P0: string += 'P0={}, '.format(self.P0.__repr__()) - if self.V0: string += 'V0={}, '.format(self.V0__repr__()) + if self.V0: string += 'V0={}, '.format(self.V0.__repr__()) string = string[:-2] + ')' return string From 1065c9808a05c7f6051c607a5bca8353ec87d01e Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 8 Jul 2025 15:57:52 -0400 Subject: [PATCH 029/700] update gri_mech_rxn_lib with updated constraints --- examples/rmg/gri_mech_rxn_lib/input.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/examples/rmg/gri_mech_rxn_lib/input.py b/examples/rmg/gri_mech_rxn_lib/input.py index a4749408099..033663936d6 100644 --- a/examples/rmg/gri_mech_rxn_lib/input.py +++ b/examples/rmg/gri_mech_rxn_lib/input.py @@ -40,6 +40,10 @@ maximumEdgeSpecies=100000 ) +generatedSpeciesConstraints( + maximumCarbeneRadicals=2, +) + options( units='si', generateOutputHTML=False, From 6794afd7563a0c2cb153381cb0ea1edfdb68d83e Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 8 Jul 2025 16:19:50 -0400 Subject: [PATCH 030/700] Make constraints more descriptive Previously, failing a species constraint would not give the user any specific reason why the species failed the constraint check. This refactors the fails_species_constraint code so that it also returns a reason for the test failure. This required a small refactor to existing usages of the function. --- rmgpy/constraints.py | 32 ++++++------- rmgpy/data/kinetics/family.py | 9 +++- rmgpy/rmg/main.py | 5 ++- rmgpy/rmg/model.py | 10 +++-- test/rmgpy/constraintsTest.py | 84 +++++++++++++++++++++++------------ 5 files changed, 89 insertions(+), 51 deletions(-) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index d00d1ca43bf..8a729769626 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -61,7 +61,8 @@ def pass_cutting_threshold(species): def fails_species_constraints(species): """ Pass in either a `Species` or `Molecule` object and checks whether it passes - the speciesConstraints set by the user. If not, returns `True` for failing speciesConstraints. + the speciesConstraints set by the user. If not, returns a tuple `(True, reason)` for failing speciesConstraints, + where `reason` is a string describing which constraint failed. If all constraints pass, returns `(False, None)`. """ from rmgpy.rmg.input import get_input @@ -81,62 +82,63 @@ def fails_species_constraints(species): explicitly_allowed_molecules = species_constraints.get('explicitlyAllowedMolecules', []) for molecule in explicitly_allowed_molecules: if struct.is_isomorphic(molecule): - return False + return (False, None) max_carbon_atoms = species_constraints.get('maximumCarbonAtoms', -1) if max_carbon_atoms != -1: if struct.get_num_atoms('C') > max_carbon_atoms: - return True + return (True, f"Exceeded maximumCarbonAtoms: {struct.get_num_atoms('C')} > {max_carbon_atoms}") max_oxygen_atoms = species_constraints.get('maximumOxygenAtoms', -1) if max_oxygen_atoms != -1: if struct.get_num_atoms('O') > max_oxygen_atoms: - return True + return (True, f"Exceeded maximumOxygenAtoms: {struct.get_num_atoms('O')} > {max_oxygen_atoms}") max_nitrogen_atoms = species_constraints.get('maximumNitrogenAtoms', -1) if max_nitrogen_atoms != -1: if struct.get_num_atoms('N') > max_nitrogen_atoms: - return True + return (True, f"Exceeded maximumNitrogenAtoms: {struct.get_num_atoms('N')} > {max_nitrogen_atoms}") max_silicon_atoms = species_constraints.get('maximumSiliconAtoms', -1) if max_silicon_atoms != -1: if struct.get_num_atoms('Si') > max_silicon_atoms: - return True + return (True, f"Exceeded maximumSiliconAtoms: {struct.get_num_atoms('Si')} > {max_silicon_atoms}") max_sulfur_atoms = species_constraints.get('maximumSulfurAtoms', -1) if max_sulfur_atoms != -1: if struct.get_num_atoms('S') > max_sulfur_atoms: - return True + return (True, f"Exceeded maximumSulfurAtoms: {struct.get_num_atoms('S')} > {max_sulfur_atoms}") max_heavy_atoms = species_constraints.get('maximumHeavyAtoms', -1) if max_heavy_atoms != -1: - if struct.get_num_atoms() - struct.get_num_atoms('H') > max_heavy_atoms: - return True + heavy_atoms = struct.get_num_atoms() - struct.get_num_atoms('H') + if heavy_atoms > max_heavy_atoms: + return (True, f"Exceeded maximumHeavyAtoms: {heavy_atoms} > {max_heavy_atoms}") max_surface_sites = species_constraints.get('maximumSurfaceSites', -1) if max_surface_sites != -1: if struct.get_num_atoms('X') > max_surface_sites: - return True + return (True, f"Exceeded maximumSurfaceSites: {struct.get_num_atoms('X')} > {max_surface_sites}") max_surface_bond_order = species_constraints.get('maximumSurfaceBondOrder', -1) if max_surface_bond_order != -1: for site in struct.get_surface_sites(): if site.get_total_bond_order() > max_surface_bond_order: - return True + return (True, f"Exceeded maximumSurfaceBondOrder at site: {site.get_total_bond_order()} > {max_surface_bond_order}") max_radicals = species_constraints.get('maximumRadicalElectrons', -1) if max_radicals != -1: if struct.get_radical_count() > max_radicals: - return True + return (True, f"Exceeded maximumRadicalElectrons: {struct.get_radical_count()} > {max_radicals}") max_carbenes = species_constraints.get('maximumSingletCarbenes', 1) if max_radicals != -1: if struct.get_singlet_carbene_count() > max_carbenes: - return True + return (True, f"Exceeded maximumSingletCarbenes: {struct.get_singlet_carbene_count()} > {max_carbenes}") max_carbene_radicals = species_constraints.get('maximumCarbeneRadicals', 0) if max_carbene_radicals != -1: if struct.get_singlet_carbene_count() > 0 and struct.get_radical_count() > max_carbene_radicals: - return True + return (True, f"Exceeded maximumCarbeneRadicals: {struct.get_radical_count()} > {max_carbene_radicals}") - return False + return (False, None) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 4bb0ee949e7..226bf646580 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1654,8 +1654,13 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab for struct in product_structures: if self.is_molecule_forbidden(struct): raise ForbiddenStructureException() - if fails_species_constraints(struct): - raise ForbiddenStructureException() + failed, reason = fails_species_constraints(struct) + if failed: + raise ForbiddenStructureException( + "Species constraints forbids product species {0}. Please " + "reformulate constraints, or explicitly " + "allow it. Reason: {1}".format(struct.label, reason) + ) return product_structures diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 88ea75ff4cc..e2b80967be1 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -689,14 +689,15 @@ def initialize(self, **kwargs): "Input species {0} is globally forbidden. You may explicitly " "allow it by adding 'input species' to the `generatedSpeciesConstraints` `allowed` list.".format(spec.label) ) - if fails_species_constraints(spec): + failed, reason = fails_species_constraints(spec) + if failed: if "allowed" in self.species_constraints and "input species" in self.species_constraints["allowed"]: self.species_constraints["explicitlyAllowedMolecules"].append(spec.molecule[0]) else: raise ForbiddenStructureException( "Species constraints forbids input species {0}. Please " "reformulate constraints, remove the species, or explicitly " - "allow it.".format(spec.label) + "allow it. Reason: {1}".format(spec.label, reason) ) # For liquidReactor, checks whether the solvent is listed as one of the initial species. diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index d677755b079..feaf92b5eb0 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -1673,14 +1673,15 @@ def add_seed_mechanism_to_core(self, seed_mechanism, react=False, requires_rms=F "found in a seed mechanism or reaction " "library.".format(spec.label, seed_mechanism.label) ) - if fails_species_constraints(spec): + failed, reason = fails_species_constraints(spec) + if failed: if "allowed" in rmg.species_constraints and "seed mechanisms" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: raise ForbiddenStructureException( "Species constraints forbids species {0} from seed mechanism {1}." " Please reformulate constraints, remove the species, or" - " explicitly allow it.".format(spec.label, seed_mechanism.label) + " explicitly allow it. Reason: {2}".format(spec.label, seed_mechanism.label, reason) ) for spec in edge_species_to_move+self.new_species_list: @@ -1800,14 +1801,15 @@ def add_reaction_library_to_edge(self, reaction_library, requires_rms=False): "inert unless found in a seed mechanism or reaction " "library.".format(spec.label, reaction_library.label) ) - if fails_species_constraints(spec): + failed, reason = fails_species_constraints(spec) + if failed: if "allowed" in rmg.species_constraints and "reaction libraries" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: raise ForbiddenStructureException( "Species constraints forbids species {0} from reaction library " "{1}. Please reformulate constraints, remove the species, or " - "explicitly allow it.".format(spec.label, reaction_library.label) + "explicitly allow it. Reason: {2}".format(spec.label, reaction_library.label, reason) ) for spec in self.new_species_list: diff --git a/test/rmgpy/constraintsTest.py b/test/rmgpy/constraintsTest.py index 45c411942c5..9db23f33a0c 100644 --- a/test/rmgpy/constraintsTest.py +++ b/test/rmgpy/constraintsTest.py @@ -83,8 +83,8 @@ def test_constraints_not_loaded(self, mock_logging): rmgpy.rmg.input.rmg = None mol = Molecule(smiles="C") - - assert not fails_species_constraints(mol) + failed, _ = fails_species_constraints(mol) + assert not failed mock_logging.debug.assert_called_with("Species constraints could not be found.") @@ -97,67 +97,80 @@ def test_species_input(self): """ spc = Species().from_smiles("C") - assert not fails_species_constraints(spc) + failed, _ = fails_species_constraints(spc) + assert not failed def test_explicitly_allowed_molecules(self): """ Test that we can explicitly allow molecules in species constraints. """ mol = Molecule(smiles="CCCC") - assert fails_species_constraints(mol) + failed, _ = fails_species_constraints(mol) + assert failed self.rmg.species_constraints["explicitlyAllowedMolecules"] = [Molecule(smiles="CCCC")] - assert not fails_species_constraints(mol) + failed, _ = fails_species_constraints(mol) + assert not failed def test_carbon_constraint(self): """ Test that we can constrain the max number of carbon atoms. """ mol1 = Molecule(smiles="CC") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="CCC") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_oxygen_constraint(self): """ Test that we can constrain the max number of oxygen atoms. """ mol1 = Molecule(smiles="C=O") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="OC=O") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_nitrogen_constraint(self): """ Test that we can constrain the max number of nitrogen atoms. """ mol1 = Molecule(smiles="CN") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="NCN") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_silicon_constraint(self): """ Test that we can constrain the max number of silicon atoms. """ mol1 = Molecule(smiles="[SiH4]") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="[SiH3][SiH3]") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_sulfur_constraint(self): """ Test that we can constrain the max number of sulfur atoms. """ mol1 = Molecule(smiles="CS") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="SCS") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_surface_site_constraint(self): """ @@ -209,11 +222,17 @@ def test_surface_site_constraint(self): self.rmg.species_constraints["maximumCarbonAtoms"] = 3 self.rmg.species_constraints["maximumHeavyAtoms"] = 6 - assert not fails_species_constraints(mol_1site) - assert not fails_species_constraints(mol_2site) + failed, _ = fails_species_constraints(mol_1site) + assert not failed + + failed, _ = fails_species_constraints(mol_2site) + assert not failed + + failed, _ = fails_species_constraints(mol_3site_vdW) + assert failed - assert fails_species_constraints(mol_3site_vdW) - assert fails_species_constraints(mol_3site) + failed, _ = fails_species_constraints(mol_3site) + assert failed self.rmg.species_constraints["maximumCarbonAtoms"] = max_carbon self.rmg.species_constraints["maximumHeavyAtoms"] = max_heavy_atoms @@ -228,27 +247,32 @@ def test_surface_bond_order_constraint(self): 2 X u0 p0 c0 {1,Q} """ ) - assert fails_species_constraints(mol_1site) + failed, _ = fails_species_constraints(mol_1site) + assert failed def test_heavy_constraint(self): """ Test that we can constrain the max number of heavy atoms. """ mol1 = Molecule(smiles="CCO") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="CCN=O") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_radical_constraint(self): """ Test that we can constrain the max number of radical electrons. """ mol1 = Molecule(smiles="[CH2][CH2]") - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule(smiles="[CH2][CH][CH2]") - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_carbene_constraint(self): """ @@ -261,7 +285,8 @@ def test_carbene_constraint(self): 3 H u0 p0 c0 {1,S} """ ) - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule().from_adjacency_list( """ @@ -271,7 +296,8 @@ def test_carbene_constraint(self): 4 H u0 p0 c0 {3,S} """ ) - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed def test_carbene_radical_constraint(self): """ @@ -284,7 +310,8 @@ def test_carbene_radical_constraint(self): 3 H u0 p0 c0 {1,S} """ ) - assert not fails_species_constraints(mol1) + failed, _ = fails_species_constraints(mol1) + assert not failed mol2 = Molecule().from_adjacency_list( """ @@ -295,4 +322,5 @@ def test_carbene_radical_constraint(self): 5 H u0 p0 c0 {3,S} """ ) - assert fails_species_constraints(mol2) + failed, _ = fails_species_constraints(mol2) + assert failed From a41ed9a3889ec285e03f20bedec82d435f94115d Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 8 Jul 2025 16:32:30 -0400 Subject: [PATCH 031/700] fix bug/typo with accessing nonexistent attribute --- rmgpy/data/kinetics/family.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 226bf646580..9f47187d037 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1659,7 +1659,7 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab raise ForbiddenStructureException( "Species constraints forbids product species {0}. Please " "reformulate constraints, or explicitly " - "allow it. Reason: {1}".format(struct.label, reason) + "allow it. Reason: {1}".format(struct, reason) ) return product_structures From 9ee8bcc239dbe42ccdb95b69201ae67898062ec0 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 12:38:14 -0400 Subject: [PATCH 032/700] update catalysis example path --- examples/rmg/catalysis/methane_steam/input.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/rmg/catalysis/methane_steam/input.py b/examples/rmg/catalysis/methane_steam/input.py index 22c4e098502..5eb8078b7d4 100644 --- a/examples/rmg/catalysis/methane_steam/input.py +++ b/examples/rmg/catalysis/methane_steam/input.py @@ -1,7 +1,7 @@ # Data sources database( thermoLibraries=['surfaceThermoNi111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC'], - reactionLibraries = [('Surface/Deutschmann_Ni', True)], # when Pt is used change the library to Surface/CPOX_Pt/Deutschmann2006 + reactionLibraries = [('Surface/Methane/Deutschmann_Ni', True)], # when Pt is used change the library to Surface/CPOX_Pt/Deutschmann2006 seedMechanisms = [], kineticsDepositories = ['training'], kineticsFamilies = ['surface','default'], From fa2aab9312b31915538cd9a964c084e2b7d2e316 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 13:04:50 -0400 Subject: [PATCH 033/700] update seed mechanism loading kinetic libraries and families, which seem to be unhandled --- rmgpy/rmg/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index e2b80967be1..b3630846bac 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -587,9 +587,9 @@ def initialize(self, **kwargs): shutil.copyfile(self.species_map_path, os.path.join(filters_restart, "species_map.yml")) # Load the seed mechanism to get the core and edge species - self.database.kinetics.load_libraries(restart_dir, libraries=["restart", "restart_edge"]) + self.database.kinetics.load_libraries(restart_dir)#, libraries=["restart", "restart_edge"]) self.seed_mechanisms.append("restart") - self.reaction_libraries.append(("restart_edge", False)) +# self.reaction_libraries.append(("restart_edge", False)) # Set trimolecular reactant flags of reaction systems if self.trimolecular: From d82a7c5fe4b9ee921fdccb895647fe4432af048e Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 14:32:10 -0400 Subject: [PATCH 034/700] fix examples that don't exclude surface families --- examples/rmg/TEOS/input.py | 2 +- examples/rmg/e85/input.py | 2 +- examples/rmg/methylformate/input.py | 2 +- examples/rmg/minimal_sensitivity/input.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/rmg/TEOS/input.py b/examples/rmg/TEOS/input.py index 75b6a114085..86b3dcb77e8 100644 --- a/examples/rmg/TEOS/input.py +++ b/examples/rmg/TEOS/input.py @@ -4,7 +4,7 @@ reactionLibraries = [], seedMechanisms = [], kineticsDepositories = ['training'], - kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'], + kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'], kineticsEstimator = 'rate rules', ) diff --git a/examples/rmg/e85/input.py b/examples/rmg/e85/input.py index 6dcf96aa433..66529b9280c 100644 --- a/examples/rmg/e85/input.py +++ b/examples/rmg/e85/input.py @@ -4,7 +4,7 @@ reactionLibraries = [], seedMechanisms = ['GRI-Mech3.0'], kineticsDepositories = ['training'], - kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'], + kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'], kineticsEstimator = 'rate rules', ) diff --git a/examples/rmg/methylformate/input.py b/examples/rmg/methylformate/input.py index 783e04130e8..6cc01c85b1c 100644 --- a/examples/rmg/methylformate/input.py +++ b/examples/rmg/methylformate/input.py @@ -4,7 +4,7 @@ reactionLibraries = [('Methylformate',False),('Glarborg/highP',False)], seedMechanisms = ['Glarborg/C2'], kineticsDepositories = ['training'], - kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'], + kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'], kineticsEstimator = 'rate rules', ) diff --git a/examples/rmg/minimal_sensitivity/input.py b/examples/rmg/minimal_sensitivity/input.py index c9358cadcd7..85eb1cdf73e 100644 --- a/examples/rmg/minimal_sensitivity/input.py +++ b/examples/rmg/minimal_sensitivity/input.py @@ -4,7 +4,7 @@ reactionLibraries = [], seedMechanisms = [], kineticsDepositories = ['training'], - kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'], + kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'], kineticsEstimator = 'rate rules', ) From 2eb3abe96acb366f69cc6d747a9d0f8928927d2c Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 14:38:41 -0400 Subject: [PATCH 035/700] fix typo in raised error --- rmgpy/kinetics/chebyshev.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/kinetics/chebyshev.pyx b/rmgpy/kinetics/chebyshev.pyx index 3d0cb6bf1eb..7e8a24835f5 100644 --- a/rmgpy/kinetics/chebyshev.pyx +++ b/rmgpy/kinetics/chebyshev.pyx @@ -193,7 +193,7 @@ cdef class Chebyshev(PDepKineticsModel): raise KineticsError("The master equation data needs more temperature and pressure data " "points than are placed into Chebyshev polynomial. Currently, the " "data has {0} temperatures and the polynomial is set to have {1}. " - "The data has {2} pressures and the polynomial is set ot have {3}" + "The data has {2} pressures and the polynomial is set to have {3}" "".format(nT, degreeT, nP, degreeP)) elif nT < 1.25 * degreeT or nP < 1.25 * degreeP: logging.warning('This Chebyshev fitting has few degrees of freedom and may not be ' From 75631487ecea7bc9f7d0af705b8f3162dd612b51 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 14:51:55 -0400 Subject: [PATCH 036/700] fix examples with malformed Chebyshev polynomials --- examples/rmg/MR_test/input.py | 4 ++-- examples/rmg/commented/input.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/rmg/MR_test/input.py b/examples/rmg/MR_test/input.py index 39f9e4d0fcf..6cbb04a2eb3 100644 --- a/examples/rmg/MR_test/input.py +++ b/examples/rmg/MR_test/input.py @@ -275,8 +275,8 @@ minimumNumberOfGrains=250, #the conditions for the rate to be output over #parameter order is: low_value, high_value, units, internal points - temperatures=(300,2200,'K',2), - pressures=(0.01,100.01,'bar',3), + temperatures=(300,2200,'K',10), + pressures=(0.01,100.01,'bar',10), #The two options for interpolation are 'PDepArrhenius' (no extra arguments) and #'Chebyshev' which is followed by the number of basis sets in #Temperature and Pressure. These values must be less than the number of diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 0d6c78b5fea..e0044906c64 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -250,8 +250,8 @@ minimumNumberOfGrains=250, # the conditions for the rate to be output over # parameter order is: low_value, high_value, units, internal points - temperatures=(300, 2200, 'K', 2), - pressures=(0.01, 100, 'bar', 3), + temperatures=(300, 2200, 'K', 10), + pressures=(0.01, 100, 'bar', 10), # The two options for interpolation are 'PDepArrhenius' (no extra arguments) and # 'Chebyshev' which is followed by the number of basis sets in # Temperature and Pressure. These values must be less than the number of From 2f274dabf5602dd5d1927a811f671c25068c5597 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 15:05:49 -0400 Subject: [PATCH 037/700] fix nox example excluding singlet O2 --- examples/rmg/nox_transitory_edge/input.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/examples/rmg/nox_transitory_edge/input.py b/examples/rmg/nox_transitory_edge/input.py index a130c79fd06..569f116699c 100644 --- a/examples/rmg/nox_transitory_edge/input.py +++ b/examples/rmg/nox_transitory_edge/input.py @@ -12,10 +12,12 @@ reactive=True, structure=SMILES("CC"), ) + species( label='O2', structure=SMILES("[O][O]"), ) + species( label='N2', reactive=False, @@ -76,6 +78,7 @@ generatedSpeciesConstraints( allowed=['input species','seed mechanisms','reaction libraries'], + allowSingletO2=True, #maximumCarbonAtoms=5, #maximumOxygenAtoms=8, #maximumNitrogenAtoms=0, From 68bb109fc7e8b30edc5c3e4ad4d1fcebffc97368 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 2 Jan 2026 11:22:50 -0500 Subject: [PATCH 038/700] Update fails_species_constraints - returns only either False or a str, instead of a tuple - user must check if fails_species_constraints != False (or lazily if just fails_species_constraints) as both will return the reason for failing constraints; if no failure it will return False - Fixes a bug with implementation --- rmgpy/constraints.py | 32 +++++++------- rmgpy/data/kinetics/family.py | 4 +- rmgpy/rmg/main.py | 4 +- rmgpy/rmg/model.py | 8 ++-- test/rmgpy/constraintsTest.py | 81 ++++++++++++----------------------- 5 files changed, 51 insertions(+), 78 deletions(-) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index 8a729769626..e88af0e3c02 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -61,8 +61,8 @@ def pass_cutting_threshold(species): def fails_species_constraints(species): """ Pass in either a `Species` or `Molecule` object and checks whether it passes - the speciesConstraints set by the user. If not, returns a tuple `(True, reason)` for failing speciesConstraints, - where `reason` is a string describing which constraint failed. If all constraints pass, returns `(False, None)`. + the speciesConstraints set by the user. If the species fails constraints, returns + a string `reason` describing which constraint failed. If all constraints pass, returns `False`. """ from rmgpy.rmg.input import get_input @@ -82,63 +82,63 @@ def fails_species_constraints(species): explicitly_allowed_molecules = species_constraints.get('explicitlyAllowedMolecules', []) for molecule in explicitly_allowed_molecules: if struct.is_isomorphic(molecule): - return (False, None) + return False max_carbon_atoms = species_constraints.get('maximumCarbonAtoms', -1) if max_carbon_atoms != -1: if struct.get_num_atoms('C') > max_carbon_atoms: - return (True, f"Exceeded maximumCarbonAtoms: {struct.get_num_atoms('C')} > {max_carbon_atoms}") + return f"Exceeded maximumCarbonAtoms: {struct.get_num_atoms('C')} > {max_carbon_atoms}" max_oxygen_atoms = species_constraints.get('maximumOxygenAtoms', -1) if max_oxygen_atoms != -1: if struct.get_num_atoms('O') > max_oxygen_atoms: - return (True, f"Exceeded maximumOxygenAtoms: {struct.get_num_atoms('O')} > {max_oxygen_atoms}") + return f"Exceeded maximumOxygenAtoms: {struct.get_num_atoms('O')} > {max_oxygen_atoms}" max_nitrogen_atoms = species_constraints.get('maximumNitrogenAtoms', -1) if max_nitrogen_atoms != -1: if struct.get_num_atoms('N') > max_nitrogen_atoms: - return (True, f"Exceeded maximumNitrogenAtoms: {struct.get_num_atoms('N')} > {max_nitrogen_atoms}") + return f"Exceeded maximumNitrogenAtoms: {struct.get_num_atoms('N')} > {max_nitrogen_atoms}" max_silicon_atoms = species_constraints.get('maximumSiliconAtoms', -1) if max_silicon_atoms != -1: if struct.get_num_atoms('Si') > max_silicon_atoms: - return (True, f"Exceeded maximumSiliconAtoms: {struct.get_num_atoms('Si')} > {max_silicon_atoms}") + return f"Exceeded maximumSiliconAtoms: {struct.get_num_atoms('Si')} > {max_silicon_atoms}" max_sulfur_atoms = species_constraints.get('maximumSulfurAtoms', -1) if max_sulfur_atoms != -1: if struct.get_num_atoms('S') > max_sulfur_atoms: - return (True, f"Exceeded maximumSulfurAtoms: {struct.get_num_atoms('S')} > {max_sulfur_atoms}") + return f"Exceeded maximumSulfurAtoms: {struct.get_num_atoms('S')} > {max_sulfur_atoms}" max_heavy_atoms = species_constraints.get('maximumHeavyAtoms', -1) if max_heavy_atoms != -1: heavy_atoms = struct.get_num_atoms() - struct.get_num_atoms('H') if heavy_atoms > max_heavy_atoms: - return (True, f"Exceeded maximumHeavyAtoms: {heavy_atoms} > {max_heavy_atoms}") + return f"Exceeded maximumHeavyAtoms: {heavy_atoms} > {max_heavy_atoms}" max_surface_sites = species_constraints.get('maximumSurfaceSites', -1) if max_surface_sites != -1: if struct.get_num_atoms('X') > max_surface_sites: - return (True, f"Exceeded maximumSurfaceSites: {struct.get_num_atoms('X')} > {max_surface_sites}") + return f"Exceeded maximumSurfaceSites: {struct.get_num_atoms('X')} > {max_surface_sites}" max_surface_bond_order = species_constraints.get('maximumSurfaceBondOrder', -1) if max_surface_bond_order != -1: for site in struct.get_surface_sites(): if site.get_total_bond_order() > max_surface_bond_order: - return (True, f"Exceeded maximumSurfaceBondOrder at site: {site.get_total_bond_order()} > {max_surface_bond_order}") + return f"Exceeded maximumSurfaceBondOrder at site: {site.get_total_bond_order()} > {max_surface_bond_order}" max_radicals = species_constraints.get('maximumRadicalElectrons', -1) if max_radicals != -1: if struct.get_radical_count() > max_radicals: - return (True, f"Exceeded maximumRadicalElectrons: {struct.get_radical_count()} > {max_radicals}") + return f"Exceeded maximumRadicalElectrons: {struct.get_radical_count()} > {max_radicals}" max_carbenes = species_constraints.get('maximumSingletCarbenes', 1) - if max_radicals != -1: + if max_carbenes != -1: if struct.get_singlet_carbene_count() > max_carbenes: - return (True, f"Exceeded maximumSingletCarbenes: {struct.get_singlet_carbene_count()} > {max_carbenes}") + return f"Exceeded maximumSingletCarbenes: {struct.get_singlet_carbene_count()} > {max_carbenes}" max_carbene_radicals = species_constraints.get('maximumCarbeneRadicals', 0) if max_carbene_radicals != -1: if struct.get_singlet_carbene_count() > 0 and struct.get_radical_count() > max_carbene_radicals: - return (True, f"Exceeded maximumCarbeneRadicals: {struct.get_radical_count()} > {max_carbene_radicals}") + return f"Exceeded maximumCarbeneRadicals: {struct.get_radical_count()} > {max_carbene_radicals}" - return (False, None) + return False diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 9f47187d037..09553473994 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1654,8 +1654,8 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab for struct in product_structures: if self.is_molecule_forbidden(struct): raise ForbiddenStructureException() - failed, reason = fails_species_constraints(struct) - if failed: + if fails_species_constraints(struct): + reason = fails_species_constraints(struct) raise ForbiddenStructureException( "Species constraints forbids product species {0}. Please " "reformulate constraints, or explicitly " diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index b3630846bac..f673912f7fd 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -689,11 +689,11 @@ def initialize(self, **kwargs): "Input species {0} is globally forbidden. You may explicitly " "allow it by adding 'input species' to the `generatedSpeciesConstraints` `allowed` list.".format(spec.label) ) - failed, reason = fails_species_constraints(spec) - if failed: + if fails_species_constraints(spec): if "allowed" in self.species_constraints and "input species" in self.species_constraints["allowed"]: self.species_constraints["explicitlyAllowedMolecules"].append(spec.molecule[0]) else: + reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids input species {0}. Please " "reformulate constraints, remove the species, or explicitly " diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index feaf92b5eb0..607d4eecae7 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -1673,11 +1673,11 @@ def add_seed_mechanism_to_core(self, seed_mechanism, react=False, requires_rms=F "found in a seed mechanism or reaction " "library.".format(spec.label, seed_mechanism.label) ) - failed, reason = fails_species_constraints(spec) - if failed: + if fails_species_constraints(spec): if "allowed" in rmg.species_constraints and "seed mechanisms" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: + reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids species {0} from seed mechanism {1}." " Please reformulate constraints, remove the species, or" @@ -1801,11 +1801,11 @@ def add_reaction_library_to_edge(self, reaction_library, requires_rms=False): "inert unless found in a seed mechanism or reaction " "library.".format(spec.label, reaction_library.label) ) - failed, reason = fails_species_constraints(spec) - if failed: + if fails_species_constraints(spec): if "allowed" in rmg.species_constraints and "reaction libraries" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: + reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids species {0} from reaction library " "{1}. Please reformulate constraints, remove the species, or " diff --git a/test/rmgpy/constraintsTest.py b/test/rmgpy/constraintsTest.py index 9db23f33a0c..83097d26d60 100644 --- a/test/rmgpy/constraintsTest.py +++ b/test/rmgpy/constraintsTest.py @@ -83,8 +83,7 @@ def test_constraints_not_loaded(self, mock_logging): rmgpy.rmg.input.rmg = None mol = Molecule(smiles="C") - failed, _ = fails_species_constraints(mol) - assert not failed + assert not fails_species_constraints(mol) mock_logging.debug.assert_called_with("Species constraints could not be found.") @@ -97,80 +96,67 @@ def test_species_input(self): """ spc = Species().from_smiles("C") - failed, _ = fails_species_constraints(spc) - assert not failed + assert not fails_species_constraints(spc) def test_explicitly_allowed_molecules(self): """ Test that we can explicitly allow molecules in species constraints. """ mol = Molecule(smiles="CCCC") - failed, _ = fails_species_constraints(mol) - assert failed + assert fails_species_constraints(mol) self.rmg.species_constraints["explicitlyAllowedMolecules"] = [Molecule(smiles="CCCC")] - failed, _ = fails_species_constraints(mol) - assert not failed + assert not fails_species_constraints(mol) def test_carbon_constraint(self): """ Test that we can constrain the max number of carbon atoms. """ mol1 = Molecule(smiles="CC") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="CCC") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_oxygen_constraint(self): """ Test that we can constrain the max number of oxygen atoms. """ mol1 = Molecule(smiles="C=O") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="OC=O") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_nitrogen_constraint(self): """ Test that we can constrain the max number of nitrogen atoms. """ mol1 = Molecule(smiles="CN") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="NCN") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_silicon_constraint(self): """ Test that we can constrain the max number of silicon atoms. """ mol1 = Molecule(smiles="[SiH4]") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="[SiH3][SiH3]") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_sulfur_constraint(self): """ Test that we can constrain the max number of sulfur atoms. """ mol1 = Molecule(smiles="CS") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="SCS") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_surface_site_constraint(self): """ @@ -222,17 +208,13 @@ def test_surface_site_constraint(self): self.rmg.species_constraints["maximumCarbonAtoms"] = 3 self.rmg.species_constraints["maximumHeavyAtoms"] = 6 - failed, _ = fails_species_constraints(mol_1site) - assert not failed + assert not fails_species_constraints(mol_1site) - failed, _ = fails_species_constraints(mol_2site) - assert not failed + assert not fails_species_constraints(mol_2site) - failed, _ = fails_species_constraints(mol_3site_vdW) - assert failed + assert fails_species_constraints(mol_3site_vdW) - failed, _ = fails_species_constraints(mol_3site) - assert failed + assert fails_species_constraints(mol_3site) self.rmg.species_constraints["maximumCarbonAtoms"] = max_carbon self.rmg.species_constraints["maximumHeavyAtoms"] = max_heavy_atoms @@ -247,32 +229,27 @@ def test_surface_bond_order_constraint(self): 2 X u0 p0 c0 {1,Q} """ ) - failed, _ = fails_species_constraints(mol_1site) - assert failed + assert fails_species_constraints(mol_1site) def test_heavy_constraint(self): """ Test that we can constrain the max number of heavy atoms. """ mol1 = Molecule(smiles="CCO") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="CCN=O") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_radical_constraint(self): """ Test that we can constrain the max number of radical electrons. """ mol1 = Molecule(smiles="[CH2][CH2]") - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="[CH2][CH][CH2]") - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_carbene_constraint(self): """ @@ -285,8 +262,7 @@ def test_carbene_constraint(self): 3 H u0 p0 c0 {1,S} """ ) - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule().from_adjacency_list( """ @@ -296,8 +272,7 @@ def test_carbene_constraint(self): 4 H u0 p0 c0 {3,S} """ ) - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) def test_carbene_radical_constraint(self): """ @@ -310,8 +285,7 @@ def test_carbene_radical_constraint(self): 3 H u0 p0 c0 {1,S} """ ) - failed, _ = fails_species_constraints(mol1) - assert not failed + assert not fails_species_constraints(mol1) mol2 = Molecule().from_adjacency_list( """ @@ -322,5 +296,4 @@ def test_carbene_radical_constraint(self): 5 H u0 p0 c0 {3,S} """ ) - failed, _ = fails_species_constraints(mol2) - assert failed + assert fails_species_constraints(mol2) From 3e2bf9a96cac152ef50c6d0effe148e7500cd85b Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 5 Jan 2026 10:14:29 -0500 Subject: [PATCH 039/700] Update Github to use new Mac runners As of December the macOS 13 runner image is deprecated (https://github.blog/changelog/2025-09-19-github-actions-macos-13-runner-image-is-closing-down/) In light of this we are switching to the macOS-15-intel with the intel architecture. --- .github/workflows/CI.yml | 4 ++-- .github/workflows/conda_build.yml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 936c319b1ee..722b8ad39be 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -64,10 +64,10 @@ jobs: fail-fast: false matrix: python-version: ["3.9"] - os: [macos-13, macos-latest, ubuntu-latest] + os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] exclude: - - os: macos-13 # GitHub's runners just aren't up to the task of installing Julia + - os: macos-15-intel # GitHub's runners just aren't up to the task of installing Julia include-rms: 'with RMS' runs-on: ${{ matrix.os }} name: Python ${{ matrix.python-version }} ${{ matrix.os }} Build and Test ${{ matrix.include-rms }} diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 7c6a7b32f5b..1cbbdcb31d5 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -15,7 +15,7 @@ jobs: strategy: fail-fast: false matrix: - os: [ubuntu-latest, macos-13, macos-latest] + os: [ubuntu-latest, macos-15-intel, macos-latest] numpy-version: ["1.26"] python-version: ["3.9"] runs-on: ${{ matrix.os }} From 7fd6ce1307aa13f2922801d15ecb225130cec9b5 Mon Sep 17 00:00:00 2001 From: kfir4444 Date: Mon, 26 Jan 2026 11:35:20 +0200 Subject: [PATCH 040/700] added full path to hessian search in orca adapter. Before the variable `hess_file` had only the name of the hessian file, without the full path. --- arkane/ess/orca.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/arkane/ess/orca.py b/arkane/ess/orca.py index a97b78fe44b..4ca1cece5a3 100644 --- a/arkane/ess/orca.py +++ b/arkane/ess/orca.py @@ -116,7 +116,7 @@ def load_force_constant_matrix(self): for (_, _, files) in os.walk(os.path.dirname(self.path)): for file_ in files: if file_.endswith('.hess'): - hess_files.append(file_) + hess_files.append(os.path.join(os.path.dirname(self.path), file_)) break if len(hess_files) == 1: hess_file = hess_files[0] From 8470953b8f9084f0c71f6db952c43115701f0039 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Thu, 11 Dec 2025 20:23:08 +0200 Subject: [PATCH 041/700] Tests: Use np.isclose() for reaction rate coefficient tests --- test/rmgpy/reactionTest.py | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/test/rmgpy/reactionTest.py b/test/rmgpy/reactionTest.py index 4e1cc0cc507..f9f907ea85c 100644 --- a/test/rmgpy/reactionTest.py +++ b/test/rmgpy/reactionTest.py @@ -35,6 +35,7 @@ import cantera as ct import numpy +import numpy as np import yaml from copy import deepcopy @@ -2916,7 +2917,9 @@ def test_arrhenius(self): # Check that the reaction string is the same assert repr(converted_obj) == repr(ct_obj) # Check that the rate is the same. arrhenius string is not going to be identical - assert converted_obj.rate.input_data == ct_obj.rate.input_data + assert np.isclose(converted_obj.rate.input_data['rate-constant']['A'], ct_obj.rate.input_data['rate-constant']['A']) + assert np.isclose(converted_obj.rate.input_data['rate-constant']['b'], ct_obj.rate.input_data['rate-constant']['b']) + assert np.isclose(converted_obj.rate.input_data['rate-constant']['Ea'], ct_obj.rate.input_data['rate-constant']['Ea']) def test_multi_arrhenius(self): """ @@ -2936,9 +2939,9 @@ def test_multi_arrhenius(self): # Check that the reaction string is the same assert repr(converted_rxn) == repr(ct_rxn) # Check that the Arrhenius rates are identical - assert round(abs(converted_rxn.rate.pre_exponential_factor - ct_rxn.rate.pre_exponential_factor), 3) == 0 - assert round(abs(converted_rxn.rate.temperature_exponent - ct_rxn.rate.temperature_exponent), 7) == 0 - assert round(abs(converted_rxn.rate.activation_energy - ct_rxn.rate.activation_energy), 7) == 0 + assert np.isclose(converted_rxn.rate.pre_exponential_factor, ct_rxn.rate.pre_exponential_factor) + assert np.isclose(converted_rxn.rate.temperature_exponent, ct_rxn.rate.temperature_exponent) + assert np.isclose(converted_rxn.rate.activation_energy, ct_rxn.rate.activation_energy) def test_pdep_arrhenius(self): """ @@ -3140,18 +3143,17 @@ def test_get_reversible_potential(self): def test_get_rate_coeff(self): """Test get_rate_coefficient() method""" - # these should be the same kf_1 = self.rxn_reduction.get_rate_coefficient(298,potential=0) kf_2 = self.rxn_reduction.kinetics.get_rate_coefficient(298,0) - assert abs(kf_1 - 43870506959779.0) < 0.000001 - assert abs(kf_1 - kf_2) < 0.000001 + assert np.isclose(kf_1, 43870506959779.0) + assert np.isclose(kf_1, kf_2) - #kf_2 should be greater than kf_1 + # kf_2 should be greater than kf_1 kf_1 = self.rxn_oxidation.get_rate_coefficient(298,potential=0) kf_2 = self.rxn_oxidation.get_rate_coefficient(298,potential=0.1) - assert kf_2>kf_1 + assert kf_2 > kf_1 def test_equilibrium_constant_surface_charge_transfer_kc(self): """ From 39544d818a0c9d18adc3e4f5868398e524af39d0 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Thu, 11 Dec 2025 12:29:05 +0200 Subject: [PATCH 042/700] Minor: Fixed typo "choosen" -> "chosen" This is printed many times in the RMG log file --- rmgpy/rmg/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index f673912f7fd..103d61dd0b6 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -2328,7 +2328,7 @@ def calculate_cond(self, obj, Ndims, Ns=20): Jout /= tot # normalize Jout n = self.rand_state.uniform(0, 1, 1)[0] # draw a random number between 0 and 1 s = 0.0 - for indexes in np.ndenumerate(Jout): # choose a coordinate such that grid[indexes] is choosen with probability Jout[indexes] + for indexes in np.ndenumerate(Jout): # choose a coordinate such that grid[indexes] is chosen with probability Jout[indexes] s += Jout[indexes[0]] if s > n: break @@ -2402,7 +2402,7 @@ def log_conditions(rmg_memories, index): log newly generated reactor conditions """ if rmg_memories[index].get_cond() is not None: - s = "conditions choosen for reactor {0} were: ".format(index) + s = f"conditions chosen for reactor {index} were: " for key, item in rmg_memories[index].get_cond().items(): if key == "T": s += "T = {0} K, ".format(item) From 12af2ab5188fe9342fe4c1de9737a371804c4e69 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Thu, 11 Dec 2025 07:48:26 +0200 Subject: [PATCH 043/700] Fix name shadowing in simple reactor's get_const_spc_indices() --- rmgpy/solver/simple.pyx | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/rmgpy/solver/simple.pyx b/rmgpy/solver/simple.pyx index fae99e2e7f4..03d9b414a55 100644 --- a/rmgpy/solver/simple.pyx +++ b/rmgpy/solver/simple.pyx @@ -169,16 +169,21 @@ cdef class SimpleReactor(ReactionSystem): conditions[species_dict[label]] = value self.sens_conditions = conditions - def get_const_spc_indices (self, core_species): + def get_const_spc_indices(self, core_species): """ Allow to identify constant Species position in solver """ - for spc in self.const_spc_names: - if self.const_spc_indices is None: # initialize once the list if constant SPC declared - self.const_spc_indices = [] - for spc in core_species: #Need to identify the species object corresponding to the the string written in the input file - if spc.label == spc: - self.const_spc_indices.append(core_species.index(spc)) + if self.const_spc_names is None: + return + if self.const_spc_indices is None: + self.const_spc_indices = [] + else: + return + for name in self.const_spc_names: + for spc in core_species: + if spc.label == name: + self.const_spc_indices.append(core_species.index(spc)) + break cpdef initialize_model(self, list core_species, list core_reactions, list edge_species, list edge_reactions, list surface_species=None, list surface_reactions=None, list pdep_networks=None, From 5623427d1e286706a5536ef62ed064d7c63035dd Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Thu, 11 Dec 2025 08:07:28 +0200 Subject: [PATCH 044/700] Tests: SimpleReactor get_const_spc_indices() --- test/rmgpy/solver/simpleTest.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/test/rmgpy/solver/simpleTest.py b/test/rmgpy/solver/simpleTest.py index 1534f79dfbe..a6646402016 100644 --- a/test/rmgpy/solver/simpleTest.py +++ b/test/rmgpy/solver/simpleTest.py @@ -759,3 +759,29 @@ def test_specific_collider_model(self): # order: Ar, N2, O2, H, CH3, CH4 for i in range(len(simulated_mole_fracs)): assert round(abs(simulated_mole_fracs[i] - expected_mole_fracs[i]), 6) == 0 + + def test_get_const_spc_indices(self): + """ + Test that const_spc_names are correctly mapped to core species indices. + """ + # Dummy species with labels that should match const_spc_names + a = Species(smiles='C', label="CH4") + b = Species(smiles='[OH]', label="OH") + core_species = [a, b] + + T = 1000.0 # K + P = 1.0e5 # Pa + + rxn_system = SimpleReactor( + T, + P, + initial_mole_fractions={a: 0.5, b: 0.5}, + n_sims=1, + termination=[], + const_spc_names=["CH4"]) + + # Populate const_spc_indices from labels + rxn_system.get_const_spc_indices(core_species) + + # Only "CH4" should be marked constant + assert rxn_system.const_spc_indices == [core_species.index(a)] From c3a0c70d27ef0b9002d56f39968b5e71bf3b7184 Mon Sep 17 00:00:00 2001 From: ssun30 Date: Thu, 10 Jul 2025 22:39:54 -0400 Subject: [PATCH 045/700] Modified install_rms.sh to Use The Correct Backend Added developer install option for install_rms.sh --- .github/workflows/CI.yml | 12 ++++---- install_rms.sh | 59 ++++++++++++++++++++++++++++++++++++---- 2 files changed, 61 insertions(+), 10 deletions(-) mode change 100644 => 100755 install_rms.sh diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 722b8ad39be..e65bd661bdd 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -2,7 +2,7 @@ # This file contains the script used by GitHub actions to execute the Continuous Integration (CI) # for RMG-Py. This includes building RMG and its dependencies, executing the unit tests, # functional tests, database tests, and regression tests. -# +# # This will run automatically on any push to any branch, but will only run one instance of # itself at a time per branch (to avoid spawning tons of runners, which prevents them from # executing). @@ -14,7 +14,7 @@ # # # Changelog: -# 2023-04 - Jackson Burns - Added this header, regression tests, cleanup of action in +# 2023-04 - Jackson Burns - Added this header, regression tests, cleanup of action in # in general, and documentation throughout the file. # 2023-05 - added Docker build steps # 2023-05-12 - added changes to allow running on forks @@ -54,6 +54,8 @@ env: RMG_DATABASE_BRANCH: main # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg + # Use standard RMS installation mode for install_rms.sh + RMS_MODE: standard # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial JULIA_NUM_PRECOMPILE_TASKS: 1 @@ -131,7 +133,7 @@ jobs: name: Regression Test # skip scheduled runs from forks if: ${{ !( github.repository != 'ReactionMechanismGenerator/RMG-Py' && github.event_name == 'schedule' ) }} - env: + env: # This is true only if this is a reference case for the regression testing: REFERENCE_JOB: ${{ github.ref == 'refs/heads/main' && github.repository == 'ReactionMechanismGenerator/RMG-Py' }} defaults: @@ -167,7 +169,7 @@ jobs: # RMG build step - run: make install - + - name: Make separate No-RMS conda env run: | conda create --name rmg_env_without_rms --clone rmg_env @@ -270,7 +272,7 @@ jobs: REFERENCE: stable_regression_results run: | conda activate rmg_env_without_rms - + exec 2> >(tee -a regression.stderr >&2) 1> >(tee -a regression.stdout) mkdir -p "test/regression-diff" for regr_test in aromatics liquid_oxidation nitrogen oxidation sulfur superminimal RMS_constantVIdealGasReactor_superminimal RMS_CSTR_liquid_oxidation fragment RMS_constantVIdealGasReactor_fragment minimal_surface; diff --git a/install_rms.sh b/install_rms.sh old mode 100644 new mode 100755 index 8dc635214a0..3019d451ceb --- a/install_rms.sh +++ b/install_rms.sh @@ -43,12 +43,14 @@ echo "Current conda environment: $current_env" # Set environment variables for the current environment, for future uses # https://juliapy.github.io/PythonCall.jl/stable/pythoncall/#If-you-already-have-Python-and-required-Python-packages-installed -conda env config vars set JULIA_CONDAPKG_BACKEND=Null +conda env config vars set JULIA_CONDAPKG_BACKEND=Current +conda env config vars set JULIA_CONDAPKG_EXE=$(which conda) conda env config vars set JULIA_PYTHONCALL_EXE=$CONDA_PREFIX/bin/python conda env config vars set PYTHON_JULIAPKG_EXE=$(which julia) conda env config vars set PYTHON_JULIAPKG_PROJECT=$CONDA_PREFIX/julia_env # Also export for current shell/session (needed for Docker/non-interactive use) -export JULIA_CONDAPKG_BACKEND=Null +export JULIA_CONDAPKG_BACKEND=Current +export JULIA_CONDAPKG_EXE="$(which conda)" export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" @@ -58,11 +60,58 @@ conda install -y conda-forge::pyjuliacall echo "Environment variables referencing JULIA:" env | grep JULIA -# Use RMS_BRANCH environment variable if set, otherwise default to for_rmg +# Ask user whether to do a standard or developer install +if [ -z "$RMS_MODE" ]; then + echo "Choose installation mode:" + echo " 1) Standard install (download from GitHub)" + echo " 2) Developer install (install from local path)" + read -p "Enter 1 or 2 [default: 1]: " installation_choice + + if [ "$installation_choice" = "2" ]; then + RMS_MODE="dev" + else + RMS_MODE="standard" + fi +fi + +echo "Selected RMS installation mode: $RMS_MODE" + +# Default RMS branch for standard install RMS_BRANCH=${RMS_BRANCH:-for_rmg} -echo "Installing ReactionMechanismSimulator from branch: $RMS_BRANCH" -julia -e "using Pkg; Pkg.add(Pkg.PackageSpec(name=\"ReactionMechanismSimulator\", url=\"https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git\", rev=\"$RMS_BRANCH\")); using ReactionMechanismSimulator; println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), \"..\", \"Project.toml\"), String)); Pkg.instantiate()" || echo "RMS install error - continuing anyway." +# Ask for local RMS path +if [ "$RMS_MODE" = "dev" ]; then + read -e -p "Please enter full path to your local RMS source code: " RMS_PATH + if [ ! -d "$RMS_PATH" ]; then + echo "ERROR: '$RMS_PATH' is not a valid directory." + exit 1 + fi + echo "Using local RMS path: $RMS_PATH" +fi + +if [ "$RMS_MODE" = "standard" ]; then + echo "Installing RMS from branch: $RMS_BRANCH" + julia << EOF || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯" + using Pkg + Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"]) + Pkg.add(Pkg.PackageSpec(name="ReactionMechanismSimulator", url="https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git", rev="$RMS_BRANCH")) + println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), \"..\", \"Project.toml\"), String)) + Pkg.instantiate() + using ReactionMechanismSimulator +EOF +elif [ "$RMS_MODE" = "dev" ]; then + echo "Installing RMS in developer mode from path: $RMS_PATH" + julia << EOF || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" + using Pkg + Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"]) + Pkg.develop(path="$RMS_PATH") + Pkg.instantiate() + using ReactionMechanismSimulator +EOF +else + echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'standard' or 'dev'." + exit 1 +fi echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." python -c "from juliacall import Main; import sys; sys.exit(0 if Main.seval('Base.identify_package(\"ReactionMechanismSimulator\") !== nothing') and print('ReactionMechanismSimulator is installed in $current_env') is None else 1)" From d171d5ff041770f1664ff71538950b7eac2e6d7d Mon Sep 17 00:00:00 2001 From: ssun30 Date: Thu, 17 Jul 2025 14:08:01 -0400 Subject: [PATCH 046/700] [RMS] Reverted JULIA_CONDAPKG_BACKEND to Null --- install_rms.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 3019d451ceb..b4995bd6311 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -43,13 +43,13 @@ echo "Current conda environment: $current_env" # Set environment variables for the current environment, for future uses # https://juliapy.github.io/PythonCall.jl/stable/pythoncall/#If-you-already-have-Python-and-required-Python-packages-installed -conda env config vars set JULIA_CONDAPKG_BACKEND=Current +conda env config vars set JULIA_CONDAPKG_BACKEND=Null conda env config vars set JULIA_CONDAPKG_EXE=$(which conda) conda env config vars set JULIA_PYTHONCALL_EXE=$CONDA_PREFIX/bin/python conda env config vars set PYTHON_JULIAPKG_EXE=$(which julia) conda env config vars set PYTHON_JULIAPKG_PROJECT=$CONDA_PREFIX/julia_env # Also export for current shell/session (needed for Docker/non-interactive use) -export JULIA_CONDAPKG_BACKEND=Current +export JULIA_CONDAPKG_BACKEND=Null export JULIA_CONDAPKG_EXE="$(which conda)" export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" From 289ff7823c00a9279069505936b6ef6e5da8b10d Mon Sep 17 00:00:00 2001 From: ssun30 Date: Thu, 17 Jul 2025 15:44:22 -0400 Subject: [PATCH 047/700] [RMS] Add check for the correct conda environment Initialize Julia environment before installing RMS Add extra debug info --- .github/workflows/CI.yml | 2 +- install_rms.sh | 84 +++++++++++++++++++++++++++++++++++++--- 2 files changed, 80 insertions(+), 6 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index e65bd661bdd..720444e8c03 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -55,7 +55,7 @@ env: # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg # Use standard RMS installation mode for install_rms.sh - RMS_MODE: standard + RMS_MODE: CI # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial JULIA_NUM_PRECOMPILE_TASKS: 1 diff --git a/install_rms.sh b/install_rms.sh index b4995bd6311..b6187afcb96 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -39,7 +39,25 @@ echo "Julia 1.10 binary path: $julia_path" # Get current conda environment name current_env=$(conda info --envs | grep -v '^#' | awk '/\*/{print $1}') -echo "Current conda environment: $current_env" + +# Ask the user to confirm RMS is being installed in the correct +# conda environemnt. Skip if this is run under CI. +if [ "$RMS_MODE" != "CI" ]; then + echo " Please confirm that you want to install RMS into the current conda environment: '$current_env'" + echo " If this is not correct, abort and activate the correct environment before rerunning." + read -p "Proceed with installation in '$current_env'? (y/N): " confirm + case "$confirm" in + [yY][eE][sS]|[yY]) + echo "✅ Proceeding with installation in '$current_env'" + ;; + *) + echo "❌ Aborted. Please activate the correct conda environment and try again." + exit 1 + ;; + esac +else + echo "Current conda environment: $current_env" +fi # Set environment variables for the current environment, for future uses # https://juliapy.github.io/PythonCall.jl/stable/pythoncall/#If-you-already-have-Python-and-required-Python-packages-installed @@ -89,7 +107,23 @@ if [ "$RMS_MODE" = "dev" ]; then echo "Using local RMS path: $RMS_PATH" fi -if [ "$RMS_MODE" = "standard" ]; then +# Initialize the Julia environment from Python using juliacall +python << EOF +import sys +try: + from juliacall import Main + Main.seval('println("Active Julia environment: ", Base.active_project())') + Main.seval('println("Julia load path: ", Base.load_path())') + Main.seval('using Pkg') + Main.seval('Pkg.status()') +except Exception as e: + print("❌ Error while initialize Julia environment:") + print(e) + sys.exit(1) +EOF + +# Install RMS +if [ "$RMS_MODE" = "standard" ] || [ "$RMS_MODE" = "CI" ]; then echo "Installing RMS from branch: $RMS_BRANCH" julia << EOF || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg @@ -97,21 +131,61 @@ if [ "$RMS_MODE" = "standard" ]; then Pkg.add(Pkg.PackageSpec(name="ReactionMechanismSimulator", url="https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git", rev="$RMS_BRANCH")) println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), \"..\", \"Project.toml\"), String)) Pkg.instantiate() - using ReactionMechanismSimulator + try + @info "Loading RMS" + using ReactionMechanismSimulator + @info "RMS loaded successfully!" + catch err + @error "Failed to load RMS" exception=err + Base.show_backtrace(stderr, catch_backtrace()) + exit(1) + end EOF elif [ "$RMS_MODE" = "dev" ]; then echo "Installing RMS in developer mode from path: $RMS_PATH" julia << EOF || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg + println(ENV["PYTHON_JULIAPKG_PROJECT"]) Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"]) Pkg.develop(path="$RMS_PATH") Pkg.instantiate() - using ReactionMechanismSimulator + try + @info "Loading RMS" + using ReactionMechanismSimulator + @info "RMS loaded successfully!" + catch err + @error "Failed to load RMS" exception=err + Base.show_backtrace(stderr, catch_backtrace()) + exit(1) + end EOF else echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'standard' or 'dev'." exit 1 fi +julia_status=$? +if [ $julia_status -ne 0 ]; then + echo "RMS installation failed!" + exit $julia_status +fi + echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." -python -c "from juliacall import Main; import sys; sys.exit(0 if Main.seval('Base.identify_package(\"ReactionMechanismSimulator\") !== nothing') and print('ReactionMechanismSimulator is installed in $current_env') is None else 1)" + +python << EOF +import sys +try: + from juliacall import Main + RMS_Pkg = Main.seval('Base.identify_package("ReactionMechanismSimulator")') + print("Package identify result: ", RMS_Pkg) + if RMS_Pkg is Main.nothing: + print("❌ ReactionMechanismSimulator is NOT installed correctly.") + sys.exit(1) + else: + print("✅ ReactionMechanismSimulator is succesfully installed!") + sys.exit(0) +except Exception as e: + print("❌ Error while checking ReactionMechanismSimulator installation:") + print(e) + sys.exit(1) +EOF From 5c9a1d0ac71be7b08ff9001b60edb68e317bd9c4 Mon Sep 17 00:00:00 2001 From: ssun30 Date: Fri, 18 Jul 2025 09:14:14 -0400 Subject: [PATCH 048/700] [RMS] Updated Dockerfile for the new install_rms --- Dockerfile | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Dockerfile b/Dockerfile index 2e462e3475e..199c5428a15 100644 --- a/Dockerfile +++ b/Dockerfile @@ -77,9 +77,11 @@ RUN make # setting this env variable fixes an issue with Julia precompilation on Windows ENV JULIA_CPU_TARGET="x86-64,haswell,skylake,broadwell,znver1,znver2,znver3,cascadelake,icelake-client,cooperlake,generic" ENV RMS_BRANCH=${RMS_Branch} +ENV RMS_MODE=CI # Usually this is set automatically, but we're not actually running # in an active conda environment when building the Docker so we need to set it manually ENV PYTHON_JULIAPKG_PROJECT="/miniconda/envs/rmg_env/julia_env" +ENV JULIA_PYTHONCALL_EXE="/miniconda/envs/rmg_env/bin/python" RUN source install_rms.sh # RMG-Py should now be installed and ready - trigger precompilation and test run From ebffece7b514dcba201b0cac889373eaa4881406 Mon Sep 17 00:00:00 2001 From: ssun30 Date: Fri, 18 Jul 2025 09:30:09 -0400 Subject: [PATCH 049/700] [RMS] Standard mode is now default Developer mode will only be enabled if the user specify "developer" option for install_rms.sh --- .github/workflows/CI.yml | 2 +- install_rms.sh | 24 ++++++------------------ 2 files changed, 7 insertions(+), 19 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 720444e8c03..afcea5a5107 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -54,7 +54,7 @@ env: RMG_DATABASE_BRANCH: main # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg - # Use standard RMS installation mode for install_rms.sh + # RMS mode used for install_rms.sh RMS_MODE: CI # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial JULIA_NUM_PRECOMPILE_TASKS: 1 diff --git a/install_rms.sh b/install_rms.sh index b6187afcb96..6a7b19a9520 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -78,27 +78,15 @@ conda install -y conda-forge::pyjuliacall echo "Environment variables referencing JULIA:" env | grep JULIA -# Ask user whether to do a standard or developer install -if [ -z "$RMS_MODE" ]; then - echo "Choose installation mode:" - echo " 1) Standard install (download from GitHub)" - echo " 2) Developer install (install from local path)" - read -p "Enter 1 or 2 [default: 1]: " installation_choice - - if [ "$installation_choice" = "2" ]; then - RMS_MODE="dev" - else - RMS_MODE="standard" - fi -fi - -echo "Selected RMS installation mode: $RMS_MODE" +# Defaults to "standard" if no arg provided +RMS_MODE=${1:-standard} # Default RMS branch for standard install RMS_BRANCH=${RMS_BRANCH:-for_rmg} # Ask for local RMS path -if [ "$RMS_MODE" = "dev" ]; then +if [ "$RMS_MODE" = "developer" ]; then + echo "Using developer mode for RMS installation" read -e -p "Please enter full path to your local RMS source code: " RMS_PATH if [ ! -d "$RMS_PATH" ]; then echo "ERROR: '$RMS_PATH' is not a valid directory." @@ -141,7 +129,7 @@ if [ "$RMS_MODE" = "standard" ] || [ "$RMS_MODE" = "CI" ]; then exit(1) end EOF -elif [ "$RMS_MODE" = "dev" ]; then +elif [ "$RMS_MODE" = "developer" ]; then echo "Installing RMS in developer mode from path: $RMS_PATH" julia << EOF || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg @@ -160,7 +148,7 @@ elif [ "$RMS_MODE" = "dev" ]; then end EOF else - echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'standard' or 'dev'." + echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'CI', 'standard' or 'developer'." exit 1 fi From 48ec076d838f42383805d7a80a25311487d83821 Mon Sep 17 00:00:00 2001 From: ssun30 Date: Wed, 29 Oct 2025 15:08:44 -0400 Subject: [PATCH 050/700] Replace return 1 with exit 1 --- install_rms.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 6a7b19a9520..a894bd15219 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -11,7 +11,7 @@ if ! command -v juliaup &> /dev/null; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - return 1 + exit 1 fi # Check if julia command is available @@ -20,7 +20,7 @@ if ! command -v julia &> /dev/null; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - return 1 + exit 1 fi # Check if Julia version is 1.10 @@ -30,7 +30,7 @@ if ! julia --version | grep -q " 1\.10"; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - return 1 + exit 1 fi # Print the path of the Julia binary From 571d0dc83af71c493b3241f211e0d041bffa8bbe Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:13:52 -0500 Subject: [PATCH 051/700] Revert "Replace return 1 with exit 1" and fix other cases too. As explained in c46a861a88961acec5ef211b0a38cfc39df54313 we don't want to terminate the shell that's running this script, we just want to exit the script, because our instructions are to "source install_rms.sh" which runs it in the current shell. --- install_rms.sh | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index a894bd15219..9b976a4c0ed 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -11,7 +11,7 @@ if ! command -v juliaup &> /dev/null; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - exit 1 + return 1 fi # Check if julia command is available @@ -20,7 +20,7 @@ if ! command -v julia &> /dev/null; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - exit 1 + return 1 fi # Check if Julia version is 1.10 @@ -30,7 +30,7 @@ if ! julia --version | grep -q " 1\.10"; then echo "juliaup add 1.10" echo "juliaup default 1.10" echo "juliaup remove release" - exit 1 + return 1 fi # Print the path of the Julia binary @@ -52,7 +52,7 @@ if [ "$RMS_MODE" != "CI" ]; then ;; *) echo "❌ Aborted. Please activate the correct conda environment and try again." - exit 1 + return 1 ;; esac else @@ -90,7 +90,7 @@ if [ "$RMS_MODE" = "developer" ]; then read -e -p "Please enter full path to your local RMS source code: " RMS_PATH if [ ! -d "$RMS_PATH" ]; then echo "ERROR: '$RMS_PATH' is not a valid directory." - exit 1 + return 1 fi echo "Using local RMS path: $RMS_PATH" fi @@ -149,13 +149,13 @@ elif [ "$RMS_MODE" = "developer" ]; then EOF else echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'CI', 'standard' or 'developer'." - exit 1 + return 1 fi julia_status=$? if [ $julia_status -ne 0 ]; then echo "RMS installation failed!" - exit $julia_status + return $julia_status fi echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." From d0707fb6fd168d4d6018040f8b69ca8991610b87 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:30:22 -0500 Subject: [PATCH 052/700] Rename RMS_MODE to RMS_INSTALLER and use environment variable There was some inconsistency about whether this would be an environment variable or an argument to the script. Hopefully this is clearer. Call it like RMS_INSTALLER=developer source install_rms.sh or set an environment variable first like export RMS_INSTALLER=continuous source install_rms.sh Options are: standard (default) continuous (doesn't pause for confirmation prompts) developer (asks for path to RMS) --- .github/workflows/CI.yml | 2 +- Dockerfile | 2 +- install_rms.sh | 20 +++++++++++--------- 3 files changed, 13 insertions(+), 11 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index afcea5a5107..346d7198924 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -55,7 +55,7 @@ env: # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg # RMS mode used for install_rms.sh - RMS_MODE: CI + RMS_INSTALLER: continuous # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial JULIA_NUM_PRECOMPILE_TASKS: 1 diff --git a/Dockerfile b/Dockerfile index 199c5428a15..080c962d944 100644 --- a/Dockerfile +++ b/Dockerfile @@ -77,7 +77,7 @@ RUN make # setting this env variable fixes an issue with Julia precompilation on Windows ENV JULIA_CPU_TARGET="x86-64,haswell,skylake,broadwell,znver1,znver2,znver3,cascadelake,icelake-client,cooperlake,generic" ENV RMS_BRANCH=${RMS_Branch} -ENV RMS_MODE=CI +ENV RMS_INSTALLER=continuous # Usually this is set automatically, but we're not actually running # in an active conda environment when building the Docker so we need to set it manually ENV PYTHON_JULIAPKG_PROJECT="/miniconda/envs/rmg_env/julia_env" diff --git a/install_rms.sh b/install_rms.sh index 9b976a4c0ed..60a6bdc71e4 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -3,6 +3,10 @@ # Convenience script to install ReactionMechanismSimulator into an rmg_env conda environment # +# Defaults to "standard" if not already set via RMS_INSTALLER env variable +RMS_INSTALLER=${RMS_INSTALLER:-standard} + + # Check if juliaup is installed if ! command -v juliaup &> /dev/null; then echo "Could not find julia via juliaup. Please install it by running:" @@ -40,9 +44,9 @@ echo "Julia 1.10 binary path: $julia_path" # Get current conda environment name current_env=$(conda info --envs | grep -v '^#' | awk '/\*/{print $1}') -# Ask the user to confirm RMS is being installed in the correct -# conda environemnt. Skip if this is run under CI. -if [ "$RMS_MODE" != "CI" ]; then +# Ask the user to confirm RMS is being installed in the correct conda environemnt. +# Skip confirmation if this is run under continuous mode. +if [ "$RMS_INSTALLER" != "continuous" ]; then echo " Please confirm that you want to install RMS into the current conda environment: '$current_env'" echo " If this is not correct, abort and activate the correct environment before rerunning." read -p "Proceed with installation in '$current_env'? (y/N): " confirm @@ -78,14 +82,12 @@ conda install -y conda-forge::pyjuliacall echo "Environment variables referencing JULIA:" env | grep JULIA -# Defaults to "standard" if no arg provided -RMS_MODE=${1:-standard} # Default RMS branch for standard install RMS_BRANCH=${RMS_BRANCH:-for_rmg} # Ask for local RMS path -if [ "$RMS_MODE" = "developer" ]; then +if [ "$RMS_INSTALLER" = "developer" ]; then echo "Using developer mode for RMS installation" read -e -p "Please enter full path to your local RMS source code: " RMS_PATH if [ ! -d "$RMS_PATH" ]; then @@ -111,7 +113,7 @@ except Exception as e: EOF # Install RMS -if [ "$RMS_MODE" = "standard" ] || [ "$RMS_MODE" = "CI" ]; then +if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then echo "Installing RMS from branch: $RMS_BRANCH" julia << EOF || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg @@ -129,7 +131,7 @@ if [ "$RMS_MODE" = "standard" ] || [ "$RMS_MODE" = "CI" ]; then exit(1) end EOF -elif [ "$RMS_MODE" = "developer" ]; then +elif [ "$RMS_INSTALLER" = "developer" ]; then echo "Installing RMS in developer mode from path: $RMS_PATH" julia << EOF || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg @@ -148,7 +150,7 @@ elif [ "$RMS_MODE" = "developer" ]; then end EOF else - echo "Unknown RMS_MODE: $RMS_MODE. Must be either 'CI', 'standard' or 'developer'." + echo "Unknown RMS_INSTALLER mode: $RMS_INSTALLER. Must be either 'continuous', 'standard' or 'developer'." return 1 fi From ecb41f2a1b5f114b5c70a32be7b2cce9b1d5eac9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:40:28 -0500 Subject: [PATCH 053/700] Use RMS_PATH from environment if set. Rather than always ask the user to type in the path, they can set it with a variable before hand. We also check it looks like the right sort of path. --- install_rms.sh | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 60a6bdc71e4..f719b3e7b25 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -86,12 +86,17 @@ env | grep JULIA # Default RMS branch for standard install RMS_BRANCH=${RMS_BRANCH:-for_rmg} -# Ask for local RMS path +# Get local RMS path if in developer mode if [ "$RMS_INSTALLER" = "developer" ]; then echo "Using developer mode for RMS installation" - read -e -p "Please enter full path to your local RMS source code: " RMS_PATH - if [ ! -d "$RMS_PATH" ]; then - echo "ERROR: '$RMS_PATH' is not a valid directory." + # Check if RMS_PATH is set + if [ -z "$RMS_PATH" ]; then + read -e -p "Please enter full path to your local RMS source code: " RMS_PATH + fi + # Validate Project.toml exists + if [ ! -f "$RMS_PATH/Project.toml" ]; then + echo "ERROR: '$RMS_PATH' does not contain a Project.toml file." + echo "Please set RMS_PATH to a valid ReactionMechanismSimulator.jl directory." return 1 fi echo "Using local RMS path: $RMS_PATH" From 2cd5d7187326877b49c40d613ef3108db183875b Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:45:28 -0500 Subject: [PATCH 054/700] Reorganize code. Trying to group related bits. --- install_rms.sh | 29 ++++++++++++++--------------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index f719b3e7b25..5dfd4ae2ffc 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -6,7 +6,6 @@ # Defaults to "standard" if not already set via RMS_INSTALLER env variable RMS_INSTALLER=${RMS_INSTALLER:-standard} - # Check if juliaup is installed if ! command -v juliaup &> /dev/null; then echo "Could not find julia via juliaup. Please install it by running:" @@ -82,6 +81,20 @@ conda install -y conda-forge::pyjuliacall echo "Environment variables referencing JULIA:" env | grep JULIA +# Initialize the Julia environment from Python using juliacall +python << EOF || return 1 +import sys +try: + from juliacall import Main + Main.seval('println("Active Julia environment: ", Base.active_project())') + Main.seval('println("Julia load path: ", Base.load_path())') + Main.seval('using Pkg') + Main.seval('Pkg.status()') +except Exception as e: + print("❌ Error while initializing Julia environment:") + print(e) + sys.exit(1) +EOF # Default RMS branch for standard install RMS_BRANCH=${RMS_BRANCH:-for_rmg} @@ -102,20 +115,6 @@ if [ "$RMS_INSTALLER" = "developer" ]; then echo "Using local RMS path: $RMS_PATH" fi -# Initialize the Julia environment from Python using juliacall -python << EOF -import sys -try: - from juliacall import Main - Main.seval('println("Active Julia environment: ", Base.active_project())') - Main.seval('println("Julia load path: ", Base.load_path())') - Main.seval('using Pkg') - Main.seval('Pkg.status()') -except Exception as e: - print("❌ Error while initialize Julia environment:") - print(e) - sys.exit(1) -EOF # Install RMS if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then From ad71a8c6d4a52067ad1883c98f7a2222c5963a0d Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:45:53 -0500 Subject: [PATCH 055/700] Added documentation to top of install_rms.sh Should also add to the installation instructions. --- install_rms.sh | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/install_rms.sh b/install_rms.sh index 5dfd4ae2ffc..f63886073a4 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -2,6 +2,20 @@ # # Convenience script to install ReactionMechanismSimulator into an rmg_env conda environment # +# Usage: +# source install_rms.sh +# Options: +# RMS_INSTALLER environment variable can be set to "continuous", "standard", or "developer" +# "continuous": non-interactive install for CI environments +# "standard": interactive install with user confirmation (default) +# "developer": install from local RMS source code (requires RMS_PATH to be set) +# RMS_PATH environment variable (required if RMS_INSTALLER="developer") +# Path to local ReactionMechanismSimulator.jl source code for developer mode +# RMS_BRANCH environment variable (optional), for "standard" or "continuous" modes +# Git branch of ReactionMechanismSimulator.jl to install (default: for_rmg) +# Example: +# RMS_INSTALLER=developer RMS_PATH=/path/to/ReactionMechanismSimulator.jl source install_rms.sh + # Defaults to "standard" if not already set via RMS_INSTALLER env variable RMS_INSTALLER=${RMS_INSTALLER:-standard} From 905426c737321db49c997dbde192659ec7b4191c Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:52:41 -0500 Subject: [PATCH 056/700] Reorganize. Put all the variable setting near the top. --- install_rms.sh | 39 +++++++++++++++++++-------------------- 1 file changed, 19 insertions(+), 20 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index f63886073a4..1448843e38d 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -20,6 +20,25 @@ # Defaults to "standard" if not already set via RMS_INSTALLER env variable RMS_INSTALLER=${RMS_INSTALLER:-standard} +# RMS branch for standard or continuous installs. Set to "for_rmg" by default. +RMS_BRANCH=${RMS_BRANCH:-for_rmg} + +# Get local RMS path if in developer mode +if [ "$RMS_INSTALLER" = "developer" ]; then + echo "Using developer mode for RMS installation" + # Check if RMS_PATH is set + if [ -z "$RMS_PATH" ]; then + read -e -p "Please enter full path to your local RMS source code: " RMS_PATH + fi + # Validate Project.toml exists + if [ ! -f "$RMS_PATH/Project.toml" ]; then + echo "ERROR: '$RMS_PATH' does not contain a Project.toml file." + echo "Please set RMS_PATH to a valid ReactionMechanismSimulator.jl directory." + return 1 + fi + echo "Using local RMS path: $RMS_PATH" +fi + # Check if juliaup is installed if ! command -v juliaup &> /dev/null; then echo "Could not find julia via juliaup. Please install it by running:" @@ -110,26 +129,6 @@ except Exception as e: sys.exit(1) EOF -# Default RMS branch for standard install -RMS_BRANCH=${RMS_BRANCH:-for_rmg} - -# Get local RMS path if in developer mode -if [ "$RMS_INSTALLER" = "developer" ]; then - echo "Using developer mode for RMS installation" - # Check if RMS_PATH is set - if [ -z "$RMS_PATH" ]; then - read -e -p "Please enter full path to your local RMS source code: " RMS_PATH - fi - # Validate Project.toml exists - if [ ! -f "$RMS_PATH/Project.toml" ]; then - echo "ERROR: '$RMS_PATH' does not contain a Project.toml file." - echo "Please set RMS_PATH to a valid ReactionMechanismSimulator.jl directory." - return 1 - fi - echo "Using local RMS path: $RMS_PATH" -fi - - # Install RMS if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then echo "Installing RMS from branch: $RMS_BRANCH" From 08e08c7e333f4dd62770396a83efaa40e21a1e58 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 10:53:04 -0500 Subject: [PATCH 057/700] Reorganize. Put the "if true" first, and the rest in "else" --- install_rms.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 1448843e38d..56141ff8683 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -78,7 +78,9 @@ current_env=$(conda info --envs | grep -v '^#' | awk '/\*/{print $1}') # Ask the user to confirm RMS is being installed in the correct conda environemnt. # Skip confirmation if this is run under continuous mode. -if [ "$RMS_INSTALLER" != "continuous" ]; then +if [ "$RMS_INSTALLER" = "continuous" ]; then + echo "Current conda environment: $current_env" +else echo " Please confirm that you want to install RMS into the current conda environment: '$current_env'" echo " If this is not correct, abort and activate the correct environment before rerunning." read -p "Proceed with installation in '$current_env'? (y/N): " confirm @@ -91,8 +93,6 @@ if [ "$RMS_INSTALLER" != "continuous" ]; then return 1 ;; esac -else - echo "Current conda environment: $current_env" fi # Set environment variables for the current environment, for future uses From 47277ebfd0d553ab6a928353580b453404b7b6cd Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 11:00:39 -0500 Subject: [PATCH 058/700] Fix Julia heredoc escaping issues in install_rms.sh Use quoted heredoc delimiters ('EOF' instead of EOF) to prevent bash from interpreting backslashes and variable substitutions within Julia code blocks. This fixes ParseError caused by escaped quotes being consumed by bash. Also changed to access shell variables via Julia's ENV dict for clarity. Seemed to be a problem only on the macos github runner. Hopefully this works cross platform. --- install_rms.sh | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 56141ff8683..11710eff558 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -132,11 +132,11 @@ EOF # Install RMS if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then echo "Installing RMS from branch: $RMS_BRANCH" - julia << EOF || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯" + julia << 'EOF' || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"]) - Pkg.add(Pkg.PackageSpec(name="ReactionMechanismSimulator", url="https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git", rev="$RMS_BRANCH")) - println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), \"..\", \"Project.toml\"), String)) + Pkg.add(Pkg.PackageSpec(name="ReactionMechanismSimulator", url="https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git", rev=ENV["RMS_BRANCH"])) + println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), "..", "Project.toml"), String)) Pkg.instantiate() try @info "Loading RMS" @@ -150,11 +150,11 @@ if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; the EOF elif [ "$RMS_INSTALLER" = "developer" ]; then echo "Installing RMS in developer mode from path: $RMS_PATH" - julia << EOF || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" + julia << 'EOF' || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯" using Pkg println(ENV["PYTHON_JULIAPKG_PROJECT"]) Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"]) - Pkg.develop(path="$RMS_PATH") + Pkg.develop(path=ENV["RMS_PATH"]) Pkg.instantiate() try @info "Loading RMS" From 85ede7ddb1e7c1d0c703fb6ab5bb159c5e5f89c4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 14:12:02 -0500 Subject: [PATCH 059/700] Make install_rms.sh compatible with zsh Replace bash-specific `read -p` syntax with portable `printf` + `read` combination that works in both bash and zsh. This fixes "no coprocess" error when sourcing the script in zsh shells. --- install_rms.sh | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 11710eff558..4702042c6e6 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -28,7 +28,8 @@ if [ "$RMS_INSTALLER" = "developer" ]; then echo "Using developer mode for RMS installation" # Check if RMS_PATH is set if [ -z "$RMS_PATH" ]; then - read -e -p "Please enter full path to your local RMS source code: " RMS_PATH + printf "Please enter full path to your local RMS source code: " + read -r RMS_PATH fi # Validate Project.toml exists if [ ! -f "$RMS_PATH/Project.toml" ]; then @@ -83,7 +84,8 @@ if [ "$RMS_INSTALLER" = "continuous" ]; then else echo " Please confirm that you want to install RMS into the current conda environment: '$current_env'" echo " If this is not correct, abort and activate the correct environment before rerunning." - read -p "Proceed with installation in '$current_env'? (y/N): " confirm + printf "Proceed with installation in '%s'? (y/N): " "$current_env" + read confirm case "$confirm" in [yY][eE][sS]|[yY]) echo "✅ Proceeding with installation in '$current_env'" From f19d29273fac7fafffa6b3369e9f8c616714fe2e Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Dec 2025 15:29:17 -0500 Subject: [PATCH 060/700] Fix detection of conda executable. Previously the (which conda) was returning, on macos, some garbage shell function or alias, leading to this mess: JULIA_CONDAPKG_BACKEND=Null JULIA_CONDAPKG_EXE=conda () { \local cmd="${1-__missing__}" case "$cmd" in (activate | deactivate) __conda_activate "$@" ;; eturn (install | update | upgrade | remove | uninstall) __conda_exe "$@" || __conda_activate reactivate ;; (*) __conda_exe "$@" ;; esac } JULIA_PYTHONCALL_EXE=/Users/rwest/miniconda3/envs/rmg_env15/bin/python PYTHON_JULIAPKG_EXE=/Users/rwest/.juliaup/bin/julia PYTHON_JULIAPKG_PROJECT=/Users/rwest/miniconda3/envs/rmg_env15/julia_env which totally messed up the conda environment, making it impossible to activate. This method now finds the actual conda excutable. --- install_rms.sh | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 4702042c6e6..70e10c6f886 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -99,14 +99,16 @@ fi # Set environment variables for the current environment, for future uses # https://juliapy.github.io/PythonCall.jl/stable/pythoncall/#If-you-already-have-Python-and-required-Python-packages-installed +# Find the actual conda executable (not the shell function) +CONDA_EXE="${CONDA_EXE:-$(conda info --base)/bin/conda}" conda env config vars set JULIA_CONDAPKG_BACKEND=Null -conda env config vars set JULIA_CONDAPKG_EXE=$(which conda) +conda env config vars set JULIA_CONDAPKG_EXE="$CONDA_EXE" conda env config vars set JULIA_PYTHONCALL_EXE=$CONDA_PREFIX/bin/python conda env config vars set PYTHON_JULIAPKG_EXE=$(which julia) conda env config vars set PYTHON_JULIAPKG_PROJECT=$CONDA_PREFIX/julia_env # Also export for current shell/session (needed for Docker/non-interactive use) export JULIA_CONDAPKG_BACKEND=Null -export JULIA_CONDAPKG_EXE="$(which conda)" +export JULIA_CONDAPKG_EXE="$CONDA_EXE" export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" From 325ae3781c980394418634f19f80c7f899b68f8e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Dec 2025 00:35:14 -0500 Subject: [PATCH 061/700] Add instructions for the new install_rms.sh script. I'm sure could be better written, but this is better than nothing. I also fixed a small bug that sphinx was complaining about in the releaseNotes --- .../rmg/installation/anacondaDeveloper.rst | 19 +++++++++++++++++++ .../source/users/rmg/releaseNotes.rst | 4 ++-- 2 files changed, 21 insertions(+), 2 deletions(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index ffe37dc68b8..78ca2196cb6 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -129,6 +129,25 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux which can involve several steps including restarting your terminal or shell. Run the script again, until it finishes installing RMS and all of its dependencies, and reports that ReactionMechanismSimulator is installed. + **Advanced Usage**: + The ``install_rms.sh`` script has options, that can be set as environment variables or variables to the script. + By default, it installs the latest release of the ``for_rmg`` branch of RMS, from https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl/branches, which is recommended for most users. + To install a different branch (from the same github repository) specify ``RMS_BRANCH``. + The default installation mode is ``standard``, which prompts the user to confirm their conda environment. + In an automated workflow (eg. CI/CD), you may wish to set ``RMS_INSTALLER`` to ``continuous`` to skip the prompt. + If you set ``RMS_INSTALLER`` to ``developer`` then it will link to a local version of RMS, + so you must also specify ``RMS_PATH`` to point to your local clone of the ReactionMechanismSimulator.jl repository. + Exmaple usage: :: + + export RMS_BRANCH=for_rmg + export RMS_INSTALLER=continuous + source install_rms.sh + + or :: + + RMS_INSTALLER=developer RMS_PATH=$HOME/Code/ReactionMechanismSimulator.jl source install_rms.sh + + #. Finally, you can run RMG from any location by typing the following (given that you have prepared the input file as ``input.py`` in the current folder). :: python replace/with/path/to/rmg.py input.py diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index c0702736a96..a6ef6225d10 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -8,7 +8,7 @@ RMG-Py Version 3.3.0 ==================== Date: July 10, 2025 -The below list is a summary. For a complete list of all changes, see the `Official Release Page `_. +The below list is a summary. For a complete list of all changes, see the `Official RMG-Py Release Page `_. - Software Improvements - RMG-Py now uses Python 3.9 @@ -33,7 +33,7 @@ RMG-Database Version 3.3.0 ========================== Date: July 10, 2025 -The below list is a summary. For a complete list of all changes, see the `Official Release Page `_. +The below list is a summary. For a complete list of all changes, see the `Official RMG-Database Release Page `_. - Features - Electrochemistry with Lithium From 0e32a7bbb2e7ac3307e6d978bf1d255778146a53 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 11 Dec 2025 10:27:17 -0500 Subject: [PATCH 062/700] Format a hyperlink in the installation instructions. Co-authored-by: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> --- .../source/users/rmg/installation/anacondaDeveloper.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index 78ca2196cb6..c3a3ee6cd6c 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -131,7 +131,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux **Advanced Usage**: The ``install_rms.sh`` script has options, that can be set as environment variables or variables to the script. - By default, it installs the latest release of the ``for_rmg`` branch of RMS, from https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl/branches, which is recommended for most users. + By default, it installs the latest release of the ``for_rmg`` branch of RMS, from `the official GitHub fork `_, which is recommended for most users. To install a different branch (from the same github repository) specify ``RMS_BRANCH``. The default installation mode is ``standard``, which prompts the user to confirm their conda environment. In an automated workflow (eg. CI/CD), you may wish to set ``RMS_INSTALLER`` to ``continuous`` to skip the prompt. From fb2bbf6d7e7ce86c13ade1c78755399ccbb368e1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 15 Jul 2025 14:57:11 -0400 Subject: [PATCH 063/700] Add note to docstring about adding energy_correction The property E0 when accessed from a Configuration, includes the energy_correction which was added in 169a34ec00c1e4275e38a690a49fc1d86bdd8b4c --- rmgpy/pdep/configuration.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/pdep/configuration.pyx b/rmgpy/pdep/configuration.pyx index e44626a9239..f6854ca63ac 100644 --- a/rmgpy/pdep/configuration.pyx +++ b/rmgpy/pdep/configuration.pyx @@ -77,7 +77,7 @@ cdef class Configuration(object): return string property E0: - """The ground-state energy of the configuration in J/mol.""" + """The ground-state energy of the configuration in J/mol. Applies the energy_correction.""" def __get__(self): return sum([float(spec.conformer.E0.value_si) for spec in self.species]) + self.energy_correction From 78925e8e3aac26f3a281c2e515bd69e76264654c Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 15 Jul 2025 15:01:51 -0400 Subject: [PATCH 064/700] Report energy_correction in __repr__ of a Configuration. This could help when reporting Configuration objects, and at least makes debugging less misleading. Without this offset, all your energies are wrong. See https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2791. But this alone doesn't fix the issue since Configuration objects are not printed inte Arkane input files using __repr__. We should generally have better unit tests that __repr__ reproduces things. --- rmgpy/pdep/configuration.pyx | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/pdep/configuration.pyx b/rmgpy/pdep/configuration.pyx index f6854ca63ac..e09b6d598bb 100644 --- a/rmgpy/pdep/configuration.pyx +++ b/rmgpy/pdep/configuration.pyx @@ -73,6 +73,7 @@ cdef class Configuration(object): if self.sum_states is not None: string += 'sum_states={0}, '.format(self.sum_states) string += 'active_k_rotor={0}, '.format(self.active_k_rotor) string += 'active_j_rotor={0}, '.format(self.active_j_rotor) + if self.energy_correction != 0.0: string += 'energy_correction={0}, '.format(self.energy_correction) string += ')' return string From 1252323f0199d32d95329b2c7e876d8b23bca73a Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 16 Jul 2025 14:21:21 -0400 Subject: [PATCH 065/700] Use lowest energy Configuration for energy_correction. As noted in https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2791 the energy_correction was not actually an average of the Configuration energies because some Configurations (reactants and products) are bimolecular. This corrects the calculation, but also switches to using the MINIMUM rather than the average, so that the lowest should end up at zero. --- rmgpy/rmg/pdep.py | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 54d62df1067..7e5050daf0a 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -788,25 +788,21 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): # Log the network being updated logging.info("Updating {0!s}".format(self)) - E0 = [] # Generate states data for unimolecular isomers and reactants if necessary for isomer in self.isomers: spec = isomer.species[0] if not spec.has_statmech(): spec.generate_statmech() - E0.append(spec.conformer.E0.value_si) for reactants in self.reactants: for spec in reactants.species: if not spec.has_statmech(): spec.generate_statmech() - E0.append(spec.conformer.E0.value_si) # Also generate states data for any path reaction reactants, so we can # always apply the ILT method in the direction the kinetics are known for reaction in self.path_reactions: for spec in reaction.reactants: if not spec.has_statmech(): spec.generate_statmech() - E0.append(spec.conformer.E0.value_si) # While we don't need the frequencies for product channels, we do need # the E0, so create a conformer object with the E0 for the product # channel species if necessary @@ -814,12 +810,12 @@ def update(self, reaction_model, pdep_settings, requires_rms=False): for spec in products.species: if spec.conformer is None: spec.conformer = Conformer(E0=spec.get_thermo_data().E0) - E0.append(spec.conformer.E0.value_si) - # Use the average E0 as the reference energy (`energy_correction`) for the network + # Use the lowest E0 as the reference energy (`energy_correction`) for the network # The `energy_correction` will be added to the free energies and enthalpies for each # configuration in the network. - energy_correction = -np.array(E0).mean() + energy_correction = -min(sum(spec.conformer.E0.value_si for spec in stationary_point.species) + for stationary_point in self.reactants + self.isomers + self.products) for spec in self.reactants + self.products + self.isomers: spec.energy_correction = energy_correction self.energy_correction = energy_correction From d5152bc3fd8d4a618963a820060b35ec7793d829 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 16 Jul 2025 16:20:18 -0400 Subject: [PATCH 066/700] Remove energy_correction from TS E0 values when writing Arkane input file The E0 values for TS have been modified using the energy_correction, but the E0 values for species have not been. We can't change the species, because it needs to be applied to the Configuration (some are bimolecular, some are unimolecular), so to be consistent we must remove it from the TS. This leaves both values, and a comment. It's a bit ugly, and I think there should be a better fix later, but this I think solves an immediate bug, and now the network_X_Y.py files written during an RMG job are at least internally consistent. (They have a different definition of 0 from inside the RMG job, but they're self-consistent.) --- arkane/pdep.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/arkane/pdep.py b/arkane/pdep.py index 7f0e6b22d31..db18a1d706c 100644 --- a/arkane/pdep.py +++ b/arkane/pdep.py @@ -699,7 +699,10 @@ def save_input_file(self, path): f.write(' label = {0!r},\n'.format(ts.label)) if ts.conformer is not None: if ts.conformer.E0 is not None: - f.write(' E0 = {0!r},\n'.format(ts.conformer.E0)) + if self.network.energy_correction: + f.write(f' E0 = ({ts.conformer.E0.value_si * 0.001:.3f} - {self.network.energy_correction * 0.001:.3f}, "kJ/mol"), # removing the applied energy_correction\n') + else: + f.write(' E0 = {0!r},\n'.format(ts.conformer.E0)) if len(ts.conformer.modes) > 0: f.write(' modes = [\n') for mode in ts.conformer.modes: From 7a1da1fe3da209608a4a4ca87231e962fdefa536 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 17 Jul 2025 14:09:23 -0400 Subject: [PATCH 067/700] Fix diffmodels.py exception handling for surface mechanisms. When comparing mechanisms that are NOT surface models, it would do the load_chemkin_file as part of an `except` block, which then means if you get an error during `load_chemkin_file` the stack trace and error message are all confused and it looks like a KeyError: 'surface_path1' which is misleading. --- rmgpy/tools/diffmodels.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/rmgpy/tools/diffmodels.py b/rmgpy/tools/diffmodels.py index e93609a77ef..6d24a2d6867 100644 --- a/rmgpy/tools/diffmodels.py +++ b/rmgpy/tools/diffmodels.py @@ -361,17 +361,16 @@ def execute(chemkin1, species_dict1, thermo1, chemkin2, species_dict2, thermo2, chemkin2 = chemkin_gas2 kwargs['surface_path2'] = chemkin_surface2 - try: + if 'surface_path1' in kwargs and 'surface_path2' in kwargs: surface_path1 = kwargs['surface_path1'] surface_path2 = kwargs['surface_path2'] model1.species, model1.reactions = load_chemkin_file( chemkin1, species_dict1, thermo_path=thermo1, surface_path=surface_path1) model2.species, model2.reactions = load_chemkin_file( chemkin2, species_dict2, thermo_path=thermo2, surface_path=surface_path2) - except KeyError: - if 'surface_path1' in kwargs or 'surface_path2' in kwargs: - logging.warning('Please specify 2 surface input files if you are comparing a surface mechanism') - + elif 'surface_path1' in kwargs or 'surface_path2' in kwargs: + raise ValueError('Please specify 2 surface input files if you are comparing a surface mechanism') + else: model1.species, model1.reactions = load_chemkin_file(chemkin1, species_dict1, thermo_path=thermo1) model2.species, model2.reactions = load_chemkin_file(chemkin2, species_dict2, thermo_path=thermo2) From 9461d86d8cd11a766858d51eb9fda4b8faae92ed Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 17 Jul 2025 14:11:16 -0400 Subject: [PATCH 068/700] Use the Tmin,Tmax,Pmin,Pmax if specified in an Arkane job. For the Chebyshev fitting it used to ignore the specified limits and just use the lowest and highest points from the grid. Chebyshev grid points aren't on the boundaries of the valid range, so you'd end up with not the range you specified. One consequence is network.py files created during an RMG job would not reproduce the fits if you later ran them in Arkane. Without this change, an RMG job would create TCHEB/ 300.000 2500.000 / PCHEB/ 0.010 98.692 / but then when you run the network1_1.py file through Arkane you would get TCHEB/ 302.558 2335.460 / PCHEB/ 0.012 78.776 / --- arkane/pdep.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/arkane/pdep.py b/arkane/pdep.py index db18a1d706c..8e61304b59f 100644 --- a/arkane/pdep.py +++ b/arkane/pdep.py @@ -132,9 +132,11 @@ def __init__(self, network, if Tlist is not None: self.Tlist = Tlist - self.Tmin = (np.min(self.Tlist.value_si), "K") - self.Tmax = (np.max(self.Tlist.value_si), "K") self.Tcount = len(self.Tlist.value_si) + if self.Tmin is None: + self.Tmin = (np.min(self.Tlist.value_si), "K") + if self.Tmax is None: + self.Tmax = (np.max(self.Tlist.value_si), "K") else: self.Tlist = None @@ -143,9 +145,11 @@ def __init__(self, network, self.Pcount = Pcount if Plist is not None: self.Plist = Plist - self.Pmin = (np.min(self.Plist.value_si) * 1e-5, "bar") - self.Pmax = (np.max(self.Plist.value_si) * 1e-5, "bar") self.Pcount = len(self.Plist.value_si) + if self.Pmin is None: + self.Pmin = (np.min(self.Plist.value_si) * 1e-5, "bar") + if self.Pmax is None: + self.Pmax = (np.max(self.Plist.value_si) * 1e-5, "bar") else: self.Plist = None From 744ad1d480b00306a3379e4f3d209203a681ffc2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 18 Jul 2025 10:18:34 -0400 Subject: [PATCH 069/700] Fix string formatting error. the {reaction:s} was causing a TypeError: unsupported format string passed to TemplateReaction.__format__ but {reaction} should do the intended conversion. This line is seldom hit. --- rmgpy/rmg/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 607d4eecae7..2fc84e3eefa 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -501,7 +501,7 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] for reactant in forward.reactants] products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] for product in forward.products] except: - logging.error(f"Error when making species in reaction {forward:s} from {forward.family:s}") + logging.error(f"Error when making species in reaction {forward} from {forward.family}") raise if forward.specific_collider is not None: From 0e7095ea85fb40ede77b39232f1075412afa5421 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 18 Jul 2025 11:29:28 -0400 Subject: [PATCH 070/700] Fix unit tests for Arkane reading of P and T limits. Because the T limits were being read incorrectly, a test of the rate coefficient that was supposedly at Tmax (but was in fact at 700K) was failing once the T limit reading was fixed. Also the pressure limit reading test was using .value instead of .value_si so that broke also. --- test/arkane/commonTest.py | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/test/arkane/commonTest.py b/test/arkane/commonTest.py index 9afec8f5917..e415ae4d9d7 100644 --- a/test/arkane/commonTest.py +++ b/test/arkane/commonTest.py @@ -110,9 +110,11 @@ def setup_class(cls): arkane = Arkane() job_list = arkane.load_input_file(os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "..", "arkane", "data", "methoxy.py")) pdepjob = job_list[-1] + cls.pdepjob = pdepjob cls.kineticsjob = job_list[0] pdepjob.active_j_rotor = True network = pdepjob.network + cls.network = network cls.Nisom = len(network.isomers) cls.Nreac = len(network.reactants) cls.Nprod = len(network.products) @@ -169,11 +171,12 @@ def test_temperatures_units(self): """ assert str(self.TmaxUnits) == "K" - def test_temperatures_value(self): + def test_temperatures_limits(self): """ - Test the temperature value. + Test the temperature limits. """ - assert self.TminValue == 450.0 + assert self.pdepjob.Tmin.value_si == 450.0 + assert self.pdepjob.Tmax.value_si == 1200.0 def test_temperatures_list(self): """ @@ -181,11 +184,12 @@ def test_temperatures_list(self): """ assert np.array_equal(self.TlistValue, np.array([450, 500, 678, 700])) - def test_min_pressure_value(self): + def test_pressure_limits(self): """ - Test the minimum pressure value. + Test the pressure limits. """ - assert "%0.7f" % self.PminValue == str(0.0101325) + assert self.pdepjob.Pmin.value_si == 1013.25 # Pa + assert self.pdepjob.Pmax.value_si == 101325000.0 # Pa def test_pressure_count(self): """ @@ -234,8 +238,8 @@ def test_calculate_tst_rate_coefficient(self): """ Test the calculation of the high-pressure limit rate coef for one of the kinetics jobs at Tmin and Tmax. """ - assert "%0.7f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(self.TminValue) == str(46608.5904933) - assert "%0.5f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(self.Tmaxvalue) == str(498796.64535) + assert "%0.7f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(450.0) == str(46608.5904933) + assert "%0.5f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(700.0) == str(498796.64535) def test_tunneling(self): """ From 235dc1ab30d331622402522dc31965a7863913f2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 18 Jul 2025 11:37:21 -0400 Subject: [PATCH 071/700] Clean up remaining tests in arkane/commonTest.py This was harder to read, parse, understand, or maintain. Also added a few extra asserts (units etc.) --- test/arkane/commonTest.py | 47 +++++++++++++-------------------------- 1 file changed, 16 insertions(+), 31 deletions(-) diff --git a/test/arkane/commonTest.py b/test/arkane/commonTest.py index e415ae4d9d7..336a8c3343b 100644 --- a/test/arkane/commonTest.py +++ b/test/arkane/commonTest.py @@ -115,61 +115,44 @@ def setup_class(cls): pdepjob.active_j_rotor = True network = pdepjob.network cls.network = network - cls.Nisom = len(network.isomers) - cls.Nreac = len(network.reactants) - cls.Nprod = len(network.products) - cls.Npath = len(network.path_reactions) - cls.PathReaction2 = network.path_reactions[2] - cls.TminValue = pdepjob.Tmin.value - cls.Tmaxvalue = pdepjob.Tmax.value - cls.TmaxUnits = pdepjob.Tmax.units - cls.TlistValue = pdepjob.Tlist.value - cls.PminValue = pdepjob.Pmin.value - cls.Pcount = pdepjob.Pcount - cls.Tcount = pdepjob.Tcount - cls.GenTlist = pdepjob.generate_T_list() - cls.PlistValue = pdepjob.Plist.value - cls.maximum_grain_size_value = pdepjob.maximum_grain_size.value - cls.method = pdepjob.method - cls.rmgmode = pdepjob.rmgmode # test Arkane's interactions with the network module def test_num_isom(self): """ Test the number of isomers identified. """ - assert self.Nisom == 2 + assert len(self.network.isomers) == 2 def test_num_reac(self): """ Test the number of reactants identified. """ - assert self.Nreac == 1 + assert len(self.network.reactants) == 1 def test_num_prod(self): """ Test the number of products identified. """ - assert self.Nprod == 1 + assert len(self.network.products) == 1 def test_n_path_reactions(self): """ Test the whether or not RMG mode is turned on. """ - assert self.Npath == 3 + assert len(self.network.path_reactions) == 3 def test_path_reactions(self): """ Test a path reaction label """ - assert str(self.PathReaction2) == "CH2OH <=> methoxy" + assert str(self.network.path_reactions[2]) == "CH2OH <=> methoxy" # test Arkane's interactions with the pdep module def test_temperatures_units(self): """ Test the Temperature Units. """ - assert str(self.TmaxUnits) == "K" + assert str(self.pdepjob.Tmax.units) == "K" def test_temperatures_limits(self): """ @@ -182,7 +165,7 @@ def test_temperatures_list(self): """ Test the temperature list. """ - assert np.array_equal(self.TlistValue, np.array([450, 500, 678, 700])) + assert np.array_equal(self.pdepjob.Tlist.value_si, np.array([450, 500, 678, 700])) def test_pressure_limits(self): """ @@ -195,43 +178,45 @@ def test_pressure_count(self): """ Test the number pressures specified. """ - assert self.Pcount == 7 + assert self.pdepjob.Pcount == 7 def test_temperature_count(self): """ Test the number temperatures specified. """ - assert self.Tcount == 4 + assert self.pdepjob.Tcount == 4 def test_pressure_list(self): """ Test the pressure list. """ - assert np.array_equal(self.PlistValue, np.array([0.01, 0.1, 1, 3, 10, 100, 1000])) + assert np.array_equal(self.pdepjob.Plist.value, np.array([0.01, 0.1, 1, 3, 10, 100, 1000])) + assert self.pdepjob.Plist.units == 'atm' def test_generate_temperature_list(self): """ Test the generated temperature list. """ - assert list(self.GenTlist) == [450.0, 500.0, 678.0, 700.0] + assert list(self.pdepjob.generate_T_list()) == [450.0, 500.0, 678.0, 700.0] def test_maximum_grain_size_value(self): """ Test the max grain size value. """ - assert self.maximum_grain_size_value == 0.5 + assert self.pdepjob.maximum_grain_size.value == 0.5 + assert self.pdepjob.maximum_grain_size.units == 'kcal/mol' def test_method(self): """ Test the master equation solution method chosen. """ - assert self.method == "modified strong collision" + assert self.pdepjob.method == "modified strong collision" def test_rmg_mode(self): """ Test the whether or not RMG mode is turned on. """ - assert self.rmgmode == False + assert self.pdepjob.rmgmode == False # Test Arkane's interactions with the kinetics module def test_calculate_tst_rate_coefficient(self): From 1c08b43f17c6098192967c90c5585de064c27d03 Mon Sep 17 00:00:00 2001 From: Calvin Pieters Date: Wed, 4 Feb 2026 23:55:28 +0200 Subject: [PATCH 072/700] Imports Species class locally Moves the import of the `Species` class to be local to the `diffusion_limited_rate` function. This avoids a circular import issue --- rmgpy/kinetics/diffusionLimited.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/kinetics/diffusionLimited.py b/rmgpy/kinetics/diffusionLimited.py index 4805f2857ed..86310ba89f3 100644 --- a/rmgpy/kinetics/diffusionLimited.py +++ b/rmgpy/kinetics/diffusionLimited.py @@ -34,7 +34,6 @@ import rmgpy.constants as constants from rmgpy.molecule.fragment import Fragment -from rmgpy.species import Species def _to_molecule(obj): """Return plain Molecule; accept Molecule or (Molecule, mapping) tuple.""" @@ -113,6 +112,8 @@ def get_diffusion_limit(self, T, reaction, forward=True): (ie. forward direction if forward=True [default] or reverse if forward=False) Returns the rate coefficient k_diff in m3/mol/s. """ + from rmgpy.species import Species + if forward: reacting = reaction.reactants else: From 25a23369eacd39c06786390506c032ac071799d5 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 21 Aug 2023 15:05:47 -0400 Subject: [PATCH 073/700] correct surface_site_density input attribute typo --- rmgpy/rmg/input.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 8c34e815d45..986f45fbadc 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python3 + ############################################################################### # # @@ -1699,9 +1699,9 @@ def save_input_file(path, rmg): f.write(' kineticsEstimator = {0!r},\n'.format(rmg.kinetics_estimator)) f.write(')\n\n') - if rmg.surfaceSiteDenisty or rmg.binding_energies: + if rmg.surface_site_density or rmg.binding_energies: f.write('catalystProperties(\n') - if rmg.surfaceSiteDenisty: + if rmg.surface_site_density: f.write(' surface_site_density = {0!r},'.format(rmg.surface_site_density)) if rmg.binding_energies: f.write(' binding_energies = {0!r},'.format(rmg.binding_energies)) From b04c0c203e263e0a5660be8e9228f751dec620b7 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 19 Feb 2025 16:21:18 -0500 Subject: [PATCH 074/700] improve formatting for catalyst properties output --- rmgpy/rmg/input.py | 31 +++++++++++++++++++++++++++---- 1 file changed, 27 insertions(+), 4 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 986f45fbadc..90536bca5c0 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1702,9 +1702,13 @@ def save_input_file(path, rmg): if rmg.surface_site_density or rmg.binding_energies: f.write('catalystProperties(\n') if rmg.surface_site_density: - f.write(' surface_site_density = {0!r},'.format(rmg.surface_site_density)) + f.write(' surfaceSiteDensity = ({0:g}, "{1!s}"),'.format(rmg.surface_site_density.value, rmg.surface_site_density.units) + '\n') if rmg.binding_energies: - f.write(' binding_energies = {0!r},'.format(rmg.binding_energies)) + f.write(' bindingEnergies = {\n') + for spc, be in rmg.binding_energies.items(): + f.write(' "{0!s}": ({1:g}, "{2!s}"),\n'.format(spc, be.value, be.units)) + f.write(' },\n') + f.write(')\n\n') # Species @@ -1718,17 +1722,36 @@ def save_input_file(path, rmg): f.write('"""),\n') f.write(')\n\n') + def format_temperature(system): + """Get temperature string format for reaction system, whether single value or range""" + if system.T is not None: + return '({0:g},"{1!s}")'.format(system.T.value, system.T.units) + + return f'[({system.Trange[0].value:g}, "{system.Trange[0].units}"), ({system.Trange[1].value:g}, "{system.Trange[1].units}")],' + # Reaction systems for system in rmg.reaction_systems: + # TODO add ranging pressures if rmg.solvent: f.write('liquidReactor(\n') - f.write(' temperature = ({0:g},"{1!s}"),\n'.format(system.T.value, system.T.units)) + f.write(' temperature = ' + format_temperature(system) + '\n') f.write(' initialConcentrations={\n') for spcs, conc in system.initial_concentrations.items(): f.write(' "{0!s}": ({1:g},"{2!s}"),\n'.format(spcs.label, conc.value, conc.units)) + elif isinstance(system, SurfaceReactor): + f.write('surfaceReactor(\n') + f.write(' temperature = ' + format_temperature(system) + '\n') + f.write(' initialPressure = ({0:g},"{1!s}"),\n'.format(system.P_initial.value, system.P_initial.units)) + f.write(' initialGasMoleFractions={\n') + for spcs, molfrac in system.initial_gas_mole_fractions.items(): + f.write(' "{0!s}": {1:g},\n'.format(spcs.label, molfrac)) + f.write(' },\n') + f.write(' initialSurfaceCoverages={\n') + for spcs, cov in system.initial_surface_coverages.items(): + f.write(' "{0!s}": {1:g},\n'.format(spcs.label, cov)) else: f.write('simpleReactor(\n') - f.write(' temperature = ({0:g},"{1!s}"),\n'.format(system.T.value, system.T.units)) + f.write(' temperature = ' + format_temperature(system) + '\n') # Convert the pressure from SI pascal units to bar here # Do something more fancy later for converting to user's desired units for both T and P.. f.write(' pressure = ({0:g},"{1!s}"),\n'.format(system.P.value, system.P.units)) From 3b6f665ec90bdf8f50917ff04e95d129cfa13fb1 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 21 Feb 2025 11:20:27 -0500 Subject: [PATCH 075/700] add termination rate ratio --- rmgpy/rmg/input.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 90536bca5c0..ca86c8ab356 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1643,6 +1643,8 @@ def read_thermo_input_file(path, rmg0): rmg.reaction_model = CoreEdgeReactionModel() rmg.initial_species = [] rmg.reaction_systems = [] + if rmg.output_directory is None: + rmg.output_directory = os.path.dirname(full_path) species_dict = {} global_context = {'__builtins__': None} @@ -1765,9 +1767,12 @@ def format_temperature(system): for term in system.termination: if isinstance(term, TerminationTime): f.write(' terminationTime = ({0:g},"{1!s}"),\n'.format(term.time.value, term.time.units)) - - else: + elif isinstance(term, TerminationRateRatio): + f.write(' terminationRateRatio = {0:g},\n'.format(term.ratio)) + elif isinstance(term, TerminationConversion): conversions += ' "{0:s}": {1:g},\n'.format(term.species.label, term.conversion) + else: + raise NotImplementedError('Termination criteria of type {0} not supported'.format(type(term))) if conversions: f.write(' terminationConversion = {\n') f.write(conversions) From 408cc341b94d1c2dbdc42436d8c1390337b5a234 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 21 Feb 2025 11:25:27 -0500 Subject: [PATCH 076/700] fix pdep settings --- rmgpy/rmg/input.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index ca86c8ab356..45733356157 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1815,9 +1815,9 @@ def format_temperature(system): if rmg.pressure_dependence: f.write('pressureDependence(\n') f.write(' method = {0!r},\n'.format(rmg.pressure_dependence.method)) - f.write(' maximumGrainSize = ({0:g},"{1!s}"),\n'.format(rmg.pressure_dependence.grain_size.value, - rmg.pressure_dependence.grain_size.units)) - f.write(' minimumNumberOfGrains = {0},\n'.format(rmg.pressure_dependence.grain_count)) + f.write(' maximumGrainSize = ({0:g},"{1!s}"),\n'.format(rmg.pressure_dependence.maximum_grain_size.value, + rmg.pressure_dependence.maximum_grain_size.units)) + f.write(' minimumNumberOfGrains = {0},\n'.format(rmg.pressure_dependence.minimum_grain_count)) f.write(' temperatures = ({0:g},{1:g},"{2!s}",{3:d}),\n'.format( rmg.pressure_dependence.Tmin.value, rmg.pressure_dependence.Tmax.value, From 04b6be6ed22011b49bf6a80bf525802411f977c3 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 21 Feb 2025 11:40:52 -0500 Subject: [PATCH 077/700] add ranging mole fractions for simple reactor --- rmgpy/rmg/input.py | 26 ++++++++++++++++++++------ 1 file changed, 20 insertions(+), 6 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 45733356157..0203975e562 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1731,9 +1731,26 @@ def format_temperature(system): return f'[({system.Trange[0].value:g}, "{system.Trange[0].units}"), ({system.Trange[1].value:g}, "{system.Trange[1].units}")],' + def format_pressure(system): + """Get pressure string format for reaction system, whether single value or range""" + if system.P is not None: + return '({0:g},"{1!s}")'.format(system.P.value, system.P.units) + + return f'[({system.Prange[0].value:g}, "{system.Prange[0].units}"), ({system.Prange[1].value:g}, "{system.Prange[1].units}")],' + + def format_initial_mole_fractions(system): + """Get initial mole fractions string format for reaction system""" + mole_fractions = '' + for spcs, molfrac in system.initial_mole_fractions.items(): + if isinstance(molfrac, list): + mole_fractions += ' "{0!s}": [{1:g}, {2:g}],\n'.format(spcs.label, molfrac[0], molfrac[1]) + else: + mole_fractions += ' "{0!s}": {1:g},\n'.format(spcs.label, molfrac) + return mole_fractions + + # Reaction systems for system in rmg.reaction_systems: - # TODO add ranging pressures if rmg.solvent: f.write('liquidReactor(\n') f.write(' temperature = ' + format_temperature(system) + '\n') @@ -1754,12 +1771,9 @@ def format_temperature(system): else: f.write('simpleReactor(\n') f.write(' temperature = ' + format_temperature(system) + '\n') - # Convert the pressure from SI pascal units to bar here - # Do something more fancy later for converting to user's desired units for both T and P.. - f.write(' pressure = ({0:g},"{1!s}"),\n'.format(system.P.value, system.P.units)) + f.write(' pressure = ' + format_pressure(system) + '\n') f.write(' initialMoleFractions={\n') - for spcs, molfrac in system.initial_mole_fractions.items(): - f.write(' "{0!s}": {1:g},\n'.format(spcs.label, molfrac)) + f.write(format_initial_mole_fractions(system)) f.write(' },\n') # Termination criteria From 5e31d491f178330a6e635b4214a5f236ed3c94e0 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 21 Feb 2025 12:05:44 -0500 Subject: [PATCH 078/700] fix liquid initial concenctrations units --- rmgpy/rmg/input.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 0203975e562..116691d21b6 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -44,7 +44,7 @@ from rmgpy.molecule import Molecule from rmgpy.molecule.fragment import Fragment from rmgpy.molecule.group import Group -from rmgpy.quantity import Energy, Quantity, RateCoefficient, SurfaceConcentration +from rmgpy.quantity import Energy, Quantity, RateCoefficient, SurfaceConcentration, Concentration from rmgpy.rmg.model import CoreEdgeReactionModel from rmgpy.rmg.reactionmechanismsimulator_reactors import ( ConstantTLiquidSurfaceReactor, @@ -659,7 +659,7 @@ def liquid_cat_reactor(temperature, concentration = Quantity(conc) # check the dimensions are ok # convert to mol/m^3 (or something numerically nice? or must it be SI) - initialConcentrations[spec] = concentration.value_si + initialConcentrations[spec] = concentration.value_si # is this a mistake? shouldn't this also be quantity? else: if len(conc) != 2: raise InputError("Concentration values must either be in the form of (number,units) or a list with 2 " @@ -1756,6 +1756,9 @@ def format_initial_mole_fractions(system): f.write(' temperature = ' + format_temperature(system) + '\n') f.write(' initialConcentrations={\n') for spcs, conc in system.initial_concentrations.items(): + # conc may have been converted to SI, so we need to convert back + if type(conc) == float: + conc = Quantity(conc, Concentration.units) f.write(' "{0!s}": ({1:g},"{2!s}"),\n'.format(spcs.label, conc.value, conc.units)) elif isinstance(system, SurfaceReactor): f.write('surfaceReactor(\n') From 6b6f576d0e21c5b096b56e7038d8256ac4d2457e Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 9 Feb 2026 15:51:48 -0500 Subject: [PATCH 079/700] delete comment about potential bug that isnt a bug --- rmgpy/rmg/input.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 116691d21b6..0bb045af594 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -659,7 +659,7 @@ def liquid_cat_reactor(temperature, concentration = Quantity(conc) # check the dimensions are ok # convert to mol/m^3 (or something numerically nice? or must it be SI) - initialConcentrations[spec] = concentration.value_si # is this a mistake? shouldn't this also be quantity? + initialConcentrations[spec] = concentration.value_si else: if len(conc) != 2: raise InputError("Concentration values must either be in the form of (number,units) or a list with 2 " From 19b99114fd725e182553b972eef47076eaa8e0c0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 18 Oct 2025 23:39:54 -0400 Subject: [PATCH 080/700] Cythonize Molecule.get_element_count() Probably won't speed it up much, but we might as well. --- rmgpy/molecule/molecule.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 1a32f07adde..26d08b5e846 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1590,15 +1590,14 @@ def get_element_count(self): """ Returns the element count for the molecule as a dictionary. """ + cython.declare(atom=Atom, element_count=dict, symbol=str, key=str) element_count = {} for atom in self.atoms: symbol = atom.element.symbol - isotope = atom.element.isotope - key = symbol - if key in element_count: - element_count[key] += 1 + if symbol in element_count: + element_count[symbol] += 1 else: - element_count[key] = 1 + element_count[symbol] = 1 return element_count From 0dd8305296b84b2440f08277b3d89cba9bc6efd0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 18 Oct 2025 23:46:55 -0400 Subject: [PATCH 081/700] Added completedNetworks option to prevent exploring PDep networks that are complete. Sometimes you have a pressure-dependent network that has been studied in great detail and put in a seed mechanism or reaction library, (such as CH2O2) and you don't want RMG to add reactions to the network and your model, because doing so will make it worse. Any reactions net reactions that are in your seed mechanism won't be changed, but currently if there's a new reaction RMG would add it. This option lets you specify in the input file that you don't want RMG to expand certain networks further. You specify them with a line in your pressureDependence block of your input file like completedNetworks = ['CH2O2', 'C2H6'], --- examples/rmg/ethane-oxidation/input.py | 1 + rmgpy/rmg/input.py | 10 +++++++ rmgpy/rmg/model.py | 36 ++++++++++++++++++++++++++ 3 files changed, 47 insertions(+) diff --git a/examples/rmg/ethane-oxidation/input.py b/examples/rmg/ethane-oxidation/input.py index f5c378e0693..c90797ec987 100644 --- a/examples/rmg/ethane-oxidation/input.py +++ b/examples/rmg/ethane-oxidation/input.py @@ -61,6 +61,7 @@ temperatures=(300,3000,'K',8), pressures=(0.001,100,'bar',5), interpolation=('Chebyshev', 6, 4), + completedNetworks=['C2H6'], ) options( diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 0bb045af594..de2ddf0c331 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1326,6 +1326,7 @@ def pressure_dependence( minimumNumberOfGrains=0, interpolation=None, maximumAtoms=None, + completedNetworks=None, ): from arkane.pdep import PressureDependenceJob @@ -1367,6 +1368,10 @@ def pressure_dependence( rmg.pressure_dependence.active_k_rotor = True rmg.pressure_dependence.rmgmode = True + if completedNetworks: + for formula in completedNetworks: + rmg.reaction_model.add_completed_pdep_network(formula) + def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=False, units='si', saveRestartPeriod=None, generateOutputHTML=False, generatePlots=False, generatePESDiagrams=False, saveSimulationProfiles=False, verboseComments=False, @@ -1849,6 +1854,11 @@ def format_initial_mole_fractions(system): )) f.write(' interpolation = {0},\n'.format(rmg.pressure_dependence.interpolation_model)) f.write(' maximumAtoms = {0}, \n'.format(rmg.pressure_dependence.maximum_atoms)) + if rmg.reaction_model.completed_pdep_networks: + def formula(elements): + return ''.join(f'{el}{count}' if count > 1 else f'{el}' for el, count in elements) + f.write(' completedNetworks = {0},\n'.format( + [formula(net) for net in rmg.reaction_model.completed_pdep_networks])) f.write(')\n\n') # Quantum Mechanics diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 2fc84e3eefa..85b0bbe39c0 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -35,6 +35,7 @@ import itertools import logging import os +import re import numpy as np @@ -248,6 +249,27 @@ def __init__(self, core=None, edge=None, surface=None): """ ) ] + self.completed_pdep_networks = set() + + def add_completed_pdep_network(self, formula): + """ + Add a completed pressure-dependent network formula to the set. + """ + # turn C2H4 into {'C':2,'H':4} + if not isinstance(formula, str): + raise TypeError("Expected string for formula, got {0}".format(formula.__class__)) + pattern = r'([A-Z][a-z]?)(\d*)' + element_count = {} + + for match in re.finditer(pattern, formula): + element = match.group(1) + count = int(match.group(2)) if match.group(2) else 1 + element_count[element] = count + # must be hashable and match what is done in add_reaction_to_unimolecular_networks + key = tuple(sorted(element_count.items())) + self.completed_pdep_networks.add(key) + logging.info(f"Added {formula} to list of completed PDep networks that will not be further explored.") + def check_for_existing_species(self, molecule): """ @@ -1895,6 +1917,20 @@ def add_reaction_to_unimolecular_networks(self, newReaction, new_species, networ source = tuple(reactants) + if len(reactants) == 1: + elements = reactants[0].molecule[0].get_element_count() + elif len(products) == 1: + elements = products[0].molecule[0].get_element_count() + else: + raise ValueError("Unimolecular reaction networks can only be formed for unimolecular reactions or isomerizations.") + # make a hashable key from the elements dict + elements_key = tuple(sorted(elements.items())) + if elements_key in self.completed_pdep_networks: + formula = ''.join(f'{el}{count}' if count>1 else el for el, count in elements_key) + logging.info(f"Not adding reaction {newReaction} to unimolecular networks because the network for {formula} is marked as completed.") + return + + # Only search for a network if we don't specify it as a parameter if network is None: if len(reactants) == 1: From c09211efa3cb45dfc8393348bd88c9cbba33f1d3 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Feb 2026 18:53:58 +0000 Subject: [PATCH 082/700] Add documentation, tests, and examples for completedNetworks option Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- documentation/source/users/rmg/input.rst | 33 +++++++++++ examples/rmg/commented/input.py | 5 ++ examples/rmg/methylformate/input.py | 1 + test/rmgpy/rmg/inputTest.py | 72 ++++++++++++++++++++++++ 4 files changed, 111 insertions(+) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index e9198d568d4..1780cca69e2 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -879,6 +879,39 @@ to turn off pressure dependence for all molecules larger than the given number of atoms (16 in the above example). +Completed Pressure-Dependent Networks +-------------------------------------- + +Sometimes you have a pressure-dependent network that has been studied in great +detail and included in a seed mechanism or reaction library (such as CH2O2), +and you don't want RMG to add additional reactions to that network. Adding +RMG's estimates to a thoroughly studied network will likely make your model +worse, as the original authors would have included any important reactions. + +You can specify that certain networks should not be expanded further using the +``completedNetworks`` parameter within the ``pressureDependence()`` block. This +parameter takes a list of chemical formulas identifying the networks that should +be considered complete. For example:: + + pressureDependence( + method='modified strong collision', + maximumGrainSize=(0.5,'kcal/mol'), + minimumNumberOfGrains=250, + temperatures=(300,2000,'K',8), + pressures=(0.01,100,'bar',5), + interpolation=('Chebyshev', 6, 4), + maximumAtoms=16, + completedNetworks=['CH2O2'], + ) + +Multiple networks can be specified in the list:: + + completedNetworks=['CH2O2', 'C2H6'], + +When a network is marked as completed, RMG will not add any new reactions to it, +though reactions already present in seed mechanisms will still be used. + + .. _uncertaintyanalysis: Uncertainty Analysis diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index e0044906c64..8926ee67b1c 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -260,6 +260,11 @@ # turns off pressure dependence for molecules with number of atoms greater than the number specified below # this is due to faster internal rate of energy transfer for larger molecules maximumAtoms=15, + # (optional) list of networks that have been thoroughly studied and should not be expanded + # by RMG. This is useful when you have a detailed mechanism for a specific network (e.g., from + # a seed mechanism or reaction library) and don't want RMG to add its own estimates which may + # make the model worse. Specify networks by their chemical formula, e.g., ['CH2O2', 'C2H6'] + # completedNetworks=['CH2O2'], ) # optional block adds constraints on what RMG can output. diff --git a/examples/rmg/methylformate/input.py b/examples/rmg/methylformate/input.py index 6cc01c85b1c..9ed267a9242 100644 --- a/examples/rmg/methylformate/input.py +++ b/examples/rmg/methylformate/input.py @@ -157,6 +157,7 @@ pressures=(0.02,100,'bar',5), interpolation=('Chebyshev', 6, 4), maximumAtoms=16, + completedNetworks=['CH2O2'], ) options( diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py index 01a5fa21b11..66eb9c0a51e 100644 --- a/test/rmgpy/rmg/inputTest.py +++ b/test/rmgpy/rmg/inputTest.py @@ -373,3 +373,75 @@ def test_mb_sampled_reactor_mole_fractions_normalize_1(self, mock_logging): assert reactor.initial_mole_fractions["C"] == 0.2 mock_logging.warning.assert_called_with("Initial mole fractions do not sum to one; normalizing.") + + +class TestInputPressureDependence: + """ + Contains unit tests for pressure dependence input, including completedNetworks + """ + + def setup_method(self): + """This method is run before every test in this class""" + global rmg + # Reset the completed networks set before each test + rmg.reaction_model.completed_pdep_networks = set() + + def test_completed_networks_single(self): + """Test that a single completedNetwork can be added via pressure_dependence""" + global rmg + + inp.pressure_dependence( + method='modified strong collision', + temperatures=(300, 2000, 'K', 8), + pressures=(0.01, 100, 'bar', 5), + maximumGrainSize=(0.5, 'kcal/mol'), + minimumNumberOfGrains=250, + interpolation=('Chebyshev', 6, 4), + maximumAtoms=16, + completedNetworks=['CH2O2'], + ) + + # Check that the network was added + assert len(rmg.reaction_model.completed_pdep_networks) == 1 + # The formula CH2O2 should be converted to a sorted tuple of elements + expected_key = (('C', 1), ('H', 2), ('O', 2)) + assert expected_key in rmg.reaction_model.completed_pdep_networks + + def test_completed_networks_multiple(self): + """Test that multiple completedNetworks can be added via pressure_dependence""" + global rmg + + inp.pressure_dependence( + method='modified strong collision', + temperatures=(300, 2000, 'K', 8), + pressures=(0.01, 100, 'bar', 5), + maximumGrainSize=(0.5, 'kcal/mol'), + minimumNumberOfGrains=250, + interpolation=('Chebyshev', 6, 4), + maximumAtoms=16, + completedNetworks=['CH2O2', 'C2H6'], + ) + + # Check that both networks were added + assert len(rmg.reaction_model.completed_pdep_networks) == 2 + expected_key1 = (('C', 1), ('H', 2), ('O', 2)) + expected_key2 = (('C', 2), ('H', 6)) + assert expected_key1 in rmg.reaction_model.completed_pdep_networks + assert expected_key2 in rmg.reaction_model.completed_pdep_networks + + def test_completed_networks_none(self): + """Test that pressure_dependence works without completedNetworks""" + global rmg + + inp.pressure_dependence( + method='modified strong collision', + temperatures=(300, 2000, 'K', 8), + pressures=(0.01, 100, 'bar', 5), + maximumGrainSize=(0.5, 'kcal/mol'), + minimumNumberOfGrains=250, + interpolation=('Chebyshev', 6, 4), + maximumAtoms=16, + ) + + # Check that no networks were added + assert len(rmg.reaction_model.completed_pdep_networks) == 0 From cd0996153283ca9f8a1fb3e502a5017e3adf5980 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 4 Feb 2026 10:11:58 -0500 Subject: [PATCH 083/700] Fix new unit test for input file reading. Reset completed networks in test setup by initializing CoreEdgeReactionModel --- test/rmgpy/rmg/inputTest.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py index 66eb9c0a51e..00160d974b9 100644 --- a/test/rmgpy/rmg/inputTest.py +++ b/test/rmgpy/rmg/inputTest.py @@ -31,6 +31,7 @@ import rmgpy.rmg.input as inp from rmgpy.rmg.main import RMG +from rmgpy.rmg.model import CoreEdgeReactionModel from rmgpy.ml.estimator import ADMONITION import pytest @@ -384,6 +385,7 @@ def setup_method(self): """This method is run before every test in this class""" global rmg # Reset the completed networks set before each test + rmg.reaction_model = CoreEdgeReactionModel() rmg.reaction_model.completed_pdep_networks = set() def test_completed_networks_single(self): From 3593ebb4b79c5cfcf495037f848a33ae6dcf9b16 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 14 Jan 2026 09:39:47 -0500 Subject: [PATCH 084/700] Replace deprecated imp.load_source call imp is deprecated and is getting removed in Python 3.12. documentation here shows the official suggestion for replacing imp.load_source calls: https://docs.python.org/3/whatsnew/3.12.html#imp --- rmgpy/data/kinetics/database.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/rmgpy/data/kinetics/database.py b/rmgpy/data/kinetics/database.py index 02edef5e8a5..efba47476b4 100644 --- a/rmgpy/data/kinetics/database.py +++ b/rmgpy/data/kinetics/database.py @@ -138,11 +138,14 @@ def load_recommended_families(self, filepath): Both styles can be loaded by this method. """ - import imp + import importlib # Load the recommended.py file as a module try: - rec = imp.load_source('rec', filepath) + loader = importlib.machinery.SourceFileLoader('rec', filepath) + spec = importlib.util.spec_from_file_location('rec', filepath, loader=loader) + rec = importlib.util.module_from_spec(spec) + loader.exec_module(rec) except Exception as e: raise DatabaseError('Unable to load recommended.py file for kinetics families: {0!s}'.format(e)) From 284c155ebb94b84485ef36fd19c8d29665ba9f12 Mon Sep 17 00:00:00 2001 From: Sevy Harris <30695172+sevyharris@users.noreply.github.com> Date: Fri, 16 Jan 2026 08:37:36 -0500 Subject: [PATCH 085/700] Update rmgpy/data/kinetics/database.py Add link to documentation showing recommended way to replace imp.load_source Co-authored-by: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> --- rmgpy/data/kinetics/database.py | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/data/kinetics/database.py b/rmgpy/data/kinetics/database.py index efba47476b4..e92b3df3c9d 100644 --- a/rmgpy/data/kinetics/database.py +++ b/rmgpy/data/kinetics/database.py @@ -142,6 +142,7 @@ def load_recommended_families(self, filepath): # Load the recommended.py file as a module try: + # https://docs.python.org/3/whatsnew/3.12.html#imp loader = importlib.machinery.SourceFileLoader('rec', filepath) spec = importlib.util.spec_from_file_location('rec', filepath, loader=loader) rec = importlib.util.module_from_spec(spec) From 089b538628cba91d501685f8a5732f97deb91cec Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 5 Feb 2026 15:17:02 -0500 Subject: [PATCH 086/700] Add comprehensive copilot instructions for RMG-Py Create .github/copilot-instructions.md to guide AI assistants working in this codebase. Includes: - Architecture overview (core packages, Cython patterns, key base classes) - Development commands and testing conventions - RMG-database integration and data flow patterns - Documentation maintenance guidelines (especially input.rst) - Code patterns for molecules, species, and reactions --- .github/copilot-instructions.md | 142 ++++++++++++++++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 .github/copilot-instructions.md diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md new file mode 100644 index 00000000000..289acd39da5 --- /dev/null +++ b/.github/copilot-instructions.md @@ -0,0 +1,142 @@ +# RMG-Py Copilot Instructions + +## Project Overview +RMG-Py is the Reaction Mechanism Generator - an automatic chemical kinetics mechanism generator. It consists of two main components: +- **RMG** (`rmgpy/`): Core mechanism generation engine +- **Arkane** (`arkane/`): Statistical mechanics and transition state theory calculations + +## Architecture + +### Core Packages +- `rmgpy/molecule/` - Molecular graph representation (`Molecule`, `Atom`, `Bond`, `Group`) +- `rmgpy/thermo/` - Thermodynamic models (NASA, Wilhoit, ThermoData) +- `rmgpy/kinetics/` - Rate coefficient models (Arrhenius, Chebyshev, pressure-dependent) +- `rmgpy/solver/` - ODE solvers for reactor simulations +- `rmgpy/rmg/` - Main RMG algorithm (`main.py`, `model.py`, `react.py`) +- `rmgpy/data/` - Database interfaces for thermo, kinetics, transport + +### Key Base Classes +- `RMGObject` (in `rmgpy/rmgobject.pyx`) - Base class providing `as_dict()`/`make_object()` for YAML serialization +- `Graph`/`Vertex`/`Edge` (in `rmgpy/molecule/graph.pyx`) - Graph isomorphism via VF2 algorithm +- `Species` and `Reaction` are central objects connecting molecules to thermodynamics and kinetics + +### Cython Architecture +Performance-critical code uses Cython (`.pyx` files) with declaration files (`.pxd`): +- Always pair `.pyx` with `.pxd` for public cdef classes/methods +- Use `cpdef` for methods callable from both Python and Cython +- Use `cimport` for Cython-level imports (e.g., `cimport rmgpy.constants as constants`) +- Register new Cython modules in `setup.py` `ext_modules` list + +## Development Commands +```bash +make install # Build Cython extensions and install in editable mode +make test # Run unit tests (excludes functional/database tests) +make test-functional # Run functional tests +make test-database # Run database tests +make test-all # Run all tests +make clean # Remove build artifacts +make decython # Remove .so files for "pure Python" debugging. This target probably broken. +make documentation # Build Sphinx docs +``` + +## Testing Conventions +- Tests live in `test/` mirroring `rmgpy/` and `arkane/` structure +- Test files: `*Test.py` (e.g., `speciesTest.py`, `reactionTest.py`) +- Test classes: `class TestClassName:` or `class ClassNameTest:` +- Use `pytest` with fixtures (`@pytest.fixture(autouse=True)` for setup) +- Markers: `@pytest.mark.functional`, `@pytest.mark.database` +- Run specific tests: `pytest -k "test_name_pattern"` + +## Code Patterns + +### Molecular Representations +```python +from rmgpy.molecule import Molecule +mol = Molecule().from_smiles("CC") # From SMILES +mol = Molecule().from_adjacency_list("""...""") # From adjacency list +mol.is_isomorphic(other_mol) # Graph isomorphism check +``` + +### Species and Reactions +```python +from rmgpy.species import Species +species = Species(label='ethane', molecule=[Molecule().from_smiles("CC")]) +species.generate_resonance_structures() +``` + +## Input Files +- RMG inputs: Python scripts defining `database()`, `species()`, `simpleReactor()`, etc. +- See `examples/rmg/minimal/input.py` for structure +- Arkane inputs: Python scripts with `species()`, `transitionState()`, `reaction()` blocks + +## RMG-database Integration +The **RMG-database** is a separate repository containing all thermodynamic, kinetics, and transport data. It's typically cloned alongside RMG-Py in a sibling folder named `RMG-database`. + +### Database Structure (in RMG-database repo) +- `thermo/` - Thermodynamic libraries and group additivity data +- `kinetics/families/` - Reaction family templates with rate rules (e.g., `H_Abstraction`, `R_Addition_MultipleBond`) +- `kinetics/libraries/` - Curated rate coefficient libraries +- `solvation/` - Solvent and solute parameters +- `transport/` - Transport properties + +### How RMG-Py Loads the Database +The `RMGDatabase` class (`rmgpy/data/rmg.py`) is the central interface: +```python +from rmgpy.data.rmg import RMGDatabase +database = RMGDatabase() +database.load( + path='/path/to/RMG-database', + thermo_libraries=['primaryThermoLibrary'], + kinetics_families='default', + reaction_libraries=[], +) +``` + +### Key Database Classes +- `ThermoDatabase` (`rmgpy/data/thermo.py`) - Estimates thermo via group additivity or libraries +- `KineticsDatabase` (`rmgpy/data/kinetics/database.py`) - Manages reaction families and libraries +- `KineticsFamily` (`rmgpy/data/kinetics/family.py`) - Template-based reaction generation using `Group` pattern matching +- `Entry` (`rmgpy/data/base.py`) - Base class for database entries with metadata + +### Data Flow for Species Thermodynamics +1. `Species.get_thermo_data()` → `ThermoDatabase.get_thermo_data(species)` +2. First checks thermo libraries for exact match (via graph isomorphism) +3. Falls back to group additivity estimation using functional group contributions +4. Returns `ThermoData`, `NASA`, or `Wilhoit` object + +### Data Flow for Reaction Kinetics +1. `KineticsFamily.generate_reactions(reactants)` - Matches reactant molecules to family templates +2. Creates `TemplateReaction` objects with labeled atoms from template matching +3. `KineticsFamily.get_kinetics()` - Estimates rate using rate rules or training reactions +4. Returns `Arrhenius` or pressure-dependent kinetics model + +## External Dependencies +- **RMG-database**: Set location via `RMG_DATABASE_BRANCH` env var in CI, or pass path to `database.load()` +- **Julia/RMS**: Optional (recommended) reactor simulation backend (install via `./install_rms.sh`) +- Environment managed via `environment.yml` (conda/mamba) + +## Documentation +Documentation lives in `documentation/source/` and is built with Sphinx (`make documentation`). + +### User Documentation (`documentation/source/users/`) +- `users/rmg/` - RMG user guide (how to run, configure, interpret output) +- `users/arkane/` - Arkane user guide +- **Critical file**: `users/rmg/input.rst` - Documents all input file options. **Must be updated when changing input file syntax or adding new features.** + +### API Reference (`documentation/source/reference/`) +- Auto-generated from docstrings using `sphinx.ext.autodoc` +- Each module has a corresponding `.rst` file (e.g., `reference/species/index.rst` → `rmgpy/species.py`) +- **Maintenance**: Add new modules to the appropriate `index.rst` toctree. Docstrings in code are automatically extracted. +- Uses reStructuredText format with `.. automodule::` directives + +### When to Update Documentation +- **New input file options**: Update `users/rmg/input.rst` +- **New public API**: Ensure docstrings exist; add module to `reference/` if new +- **Changed behavior**: Update relevant user guide section +- **New features**: Add to `users/rmg/features.rst` or create new `.rst` file + +## Style Guidelines +- Follow PEP 8 +- Docstrings describe purpose, not implementation +- Use `logging` module (not print statements) +- MIT/X11 license header required on all source files From 00c7804e762cdf02a833137e43377b797fb5cac0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 10 Feb 2026 08:46:08 -0500 Subject: [PATCH 087/700] copilot-instructions.md: responding to suggestions from copilot itself --- .github/copilot-instructions.md | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 289acd39da5..27700a3f43c 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -35,7 +35,7 @@ make test-functional # Run functional tests make test-database # Run database tests make test-all # Run all tests make clean # Remove build artifacts -make decython # Remove .so files for "pure Python" debugging. This target probably broken. +make decython # Remove .so files for "pure Python" debugging. Pure python mode is not reliably tested and might not work. make documentation # Build Sphinx docs ``` @@ -72,7 +72,7 @@ species.generate_resonance_structures() ## RMG-database Integration The **RMG-database** is a separate repository containing all thermodynamic, kinetics, and transport data. It's typically cloned alongside RMG-Py in a sibling folder named `RMG-database`. -### Database Structure (in RMG-database repo) +### Database Structure (in RMG-database `input/` directory, eg. `RMG-database/input/thermo/`) - `thermo/` - Thermodynamic libraries and group additivity data - `kinetics/families/` - Reaction family templates with rate rules (e.g., `H_Abstraction`, `R_Addition_MultipleBond`) - `kinetics/libraries/` - Curated rate coefficient libraries @@ -85,7 +85,7 @@ The `RMGDatabase` class (`rmgpy/data/rmg.py`) is the central interface: from rmgpy.data.rmg import RMGDatabase database = RMGDatabase() database.load( - path='/path/to/RMG-database', + path='/path/to/RMG-database/input', thermo_libraries=['primaryThermoLibrary'], kinetics_families='default', reaction_libraries=[], @@ -99,10 +99,12 @@ database.load( - `Entry` (`rmgpy/data/base.py`) - Base class for database entries with metadata ### Data Flow for Species Thermodynamics -1. `Species.get_thermo_data()` → `ThermoDatabase.get_thermo_data(species)` -2. First checks thermo libraries for exact match (via graph isomorphism) -3. Falls back to group additivity estimation using functional group contributions -4. Returns `ThermoData`, `NASA`, or `Wilhoit` object +1. `Species.get_thermo_data()` → `rmgpy.thermo.thermoengine.submit(species)` (may create/resolve futures) +2. `thermoengine` dispatches to the loaded `ThermoDatabase` and ultimately calls `ThermoDatabase.get_thermo_data(species)` +3. `ThermoDatabase` first checks thermo libraries for an exact match (via graph isomorphism) +4. If no library match is found, `ThermoDatabase` falls back to group additivity estimation using functional group contributions +5. The resolved result is returned as a `ThermoData`, `NASA`, or `Wilhoit` object + ### Data Flow for Reaction Kinetics 1. `KineticsFamily.generate_reactions(reactants)` - Matches reactant molecules to family templates @@ -111,7 +113,7 @@ database.load( 4. Returns `Arrhenius` or pressure-dependent kinetics model ## External Dependencies -- **RMG-database**: Set location via `RMG_DATABASE_BRANCH` env var in CI, or pass path to `database.load()` +- **RMG-database**: In CI, `RMG_DATABASE_BRANCH` controls which RMG-database branch is cloned. Locally, the database location is set via `settings['database.directory']` (default `../RMG-database/input`) or `database.directory` in an `rmgrc` file; you may also pass an explicit path to `database.load()`. - **Julia/RMS**: Optional (recommended) reactor simulation backend (install via `./install_rms.sh`) - Environment managed via `environment.yml` (conda/mamba) @@ -125,18 +127,18 @@ Documentation lives in `documentation/source/` and is built with Sphinx (`make d ### API Reference (`documentation/source/reference/`) - Auto-generated from docstrings using `sphinx.ext.autodoc` -- Each module has a corresponding `.rst` file (e.g., `reference/species/index.rst` → `rmgpy/species.py`) +- Each module has a corresponding `.rst` file (e.g., `documentation/source/reference/species/index.rst` → `rmgpy/species.py`) - **Maintenance**: Add new modules to the appropriate `index.rst` toctree. Docstrings in code are automatically extracted. - Uses reStructuredText format with `.. automodule::` directives ### When to Update Documentation -- **New input file options**: Update `users/rmg/input.rst` -- **New public API**: Ensure docstrings exist; add module to `reference/` if new +- **New input file options**: Update `documentation/source/users/rmg/input.rst` +- **New public API**: Ensure docstrings exist; add module to `documentation/source/reference/` if new - **Changed behavior**: Update relevant user guide section -- **New features**: Add to `users/rmg/features.rst` or create new `.rst` file +- **New features**: Add to `documentation/source/users/rmg/features.rst` or create and link to new `.rst` file ## Style Guidelines - Follow PEP 8 - Docstrings describe purpose, not implementation - Use `logging` module (not print statements) -- MIT/X11 license header required on all source files +- MIT license header required on all source files From 4fb49b16ac26bb6e27c1ee21fa724d48974a117f Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 10 Feb 2026 16:39:36 -0500 Subject: [PATCH 088/700] Addressing review comments in copilot instructions. --- .github/copilot-instructions.md | 29 +++++++++++++++++++++++++---- 1 file changed, 25 insertions(+), 4 deletions(-) diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 27700a3f43c..cbd0a3c9698 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -64,10 +64,31 @@ species = Species(label='ethane', molecule=[Molecule().from_smiles("CC")]) species.generate_resonance_structures() ``` +```python +from rmgpy.reaction import Reaction +from rmgpy.kinetics import Arrhenius + +# Reaction with Arrhenius kinetics +rxn = Reaction( + reactants=[Species(label='CH3', molecule=[Molecule(smiles='[CH3]')]), + Species(label='O2', molecule=[Molecule(smiles='[O][O]')])], + products=[Species(label='CH3OO', molecule=[Molecule(smiles='CO[O]')])], + kinetics=Arrhenius(A=(2.65e12, 'cm^3/(mol*s)'), n=0.0, Ea=(0.0, 'kJ/mol'), T0=(1, 'K')), +) + +# Reaction without kinetics (e.g. for isomorphism checks) +rxn2 = Reaction( + reactants=[Species().from_smiles('[O]'), Species().from_smiles('O=S=O')], + products=[Species().from_smiles('O=S(=O)=O')], +) +``` + + ## Input Files - RMG inputs: Python scripts defining `database()`, `species()`, `simpleReactor()`, etc. -- See `examples/rmg/minimal/input.py` for structure +- See `examples/rmg/minimal/input.py` for structure and `examples/rmg/commented/input.py` for a file with detailed comments - Arkane inputs: Python scripts with `species()`, `transitionState()`, `reaction()` blocks +- See `examples/arkane/` for examples ## RMG-database Integration The **RMG-database** is a separate repository containing all thermodynamic, kinetics, and transport data. It's typically cloned alongside RMG-Py in a sibling folder named `RMG-database`. @@ -99,8 +120,8 @@ database.load( - `Entry` (`rmgpy/data/base.py`) - Base class for database entries with metadata ### Data Flow for Species Thermodynamics -1. `Species.get_thermo_data()` → `rmgpy.thermo.thermoengine.submit(species)` (may create/resolve futures) -2. `thermoengine` dispatches to the loaded `ThermoDatabase` and ultimately calls `ThermoDatabase.get_thermo_data(species)` +1. `Species.get_thermo_data()` → `rmgpy.thermo.thermoengine.submit(species)` +2. `thermoengine.submit()` generates resonance structures, then dispatches to `ThermoDatabase.get_thermo_data(species)` 3. `ThermoDatabase` first checks thermo libraries for an exact match (via graph isomorphism) 4. If no library match is found, `ThermoDatabase` falls back to group additivity estimation using functional group contributions 5. The resolved result is returned as a `ThermoData`, `NASA`, or `Wilhoit` object @@ -138,7 +159,7 @@ Documentation lives in `documentation/source/` and is built with Sphinx (`make d - **New features**: Add to `documentation/source/users/rmg/features.rst` or create and link to new `.rst` file ## Style Guidelines -- Follow PEP 8 +- Follow PEP 8 for new or modified code, but don't modify code just to fix style - Docstrings describe purpose, not implementation - Use `logging` module (not print statements) - MIT license header required on all source files From ecd1def6690ff28f13bde06551fa3318054b1729 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 11 Feb 2026 13:51:15 -0500 Subject: [PATCH 089/700] Update installation instructions for Anaconda and Conda Correct some confusion and inconsistencies. Co-authored-by: Richard West Co-authored-by: Akshat Zalte <56800291+akshatzalte@users.noreply.github.com> --- .../source/users/rmg/installation/index.rst | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/documentation/source/users/rmg/installation/index.rst b/documentation/source/users/rmg/installation/index.rst index 00e6f876b4a..8616e563097 100644 --- a/documentation/source/users/rmg/installation/index.rst +++ b/documentation/source/users/rmg/installation/index.rst @@ -49,9 +49,10 @@ For users unfamiliar with bash or Linux, we recommend looking at Alternative Install: Binary Installation Using Anaconda =========================================================== -If you are accustomed to using the Anaconda package manager or cannot tolerate the storage overhead of Docker, installation from conda is also available. -This is recommended for users who want to use RMG out of the box and are not interested in changing the RMG code or making many additions to RMG's thermodynamic and kinetics databases. -If this does interest you, please see the Developer Install below. +If you are accustomed to using the Anaconda package manager or cannot tolerate the storage overhead of Docker, installation from Conda is also available. +This is recommended for users who want to use RMG out of the box and are not interested in changing the RMG code or making many additions to RMG's thermodynamic and kinetics databases. +Installation by Conda without compiling from source is limited to `specific versions of RMG-Py `_ . +If you would like to use the latest version or plan to modify the code or databases, please refer to the Developer Installation instructions below. .. toctree:: :maxdepth: 1 @@ -61,11 +62,9 @@ If this does interest you, please see the Developer Install below. Developer Install: Installation from Source =========================================================== -RMG-Py can be built from source using the Anaconda Python Platform to assist in installing all necessary dependencies. -This is recommended for a developer who may be altering the RMG source code or someone who expects to manipulate the databases extensively. -You will also be able to access the latest source code updates and patches through Github. -It is also currently the only option to avoid the storage and memory overhead of Docker. -Installation by Conda without compiling from source is limited to `older versions of RMG-Py `_ and is not currently recommended (but would follow instructions below if you needed). +RMG-Py can be built from source using the Anaconda package manager to assist in installing all necessary dependencies. +This is recommended for a developer who may be altering the RMG source code or someone who expects to manipulate the databases. +You will also be able to access the latest source code updates and patches through GitHub. .. toctree:: :maxdepth: 1 From 6b1368de6c19204c7ce4fda6fbecb05da4a0fe0e Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Mon, 16 Feb 2026 22:57:15 -0500 Subject: [PATCH 090/700] Force desired channel resolution order in binary install Resolves #2875 using the solution proposed therein. @calvinp0 could you take a look and make sure I got this right? @rwest could you also take a quick look at this? --- .../source/users/rmg/installation/anacondaUser.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/documentation/source/users/rmg/installation/anacondaUser.rst b/documentation/source/users/rmg/installation/anacondaUser.rst index d2da18ecdf8..8871cd09a6f 100644 --- a/documentation/source/users/rmg/installation/anacondaUser.rst +++ b/documentation/source/users/rmg/installation/anacondaUser.rst @@ -9,7 +9,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX #. Install both RMG and the RMG-database binaries through the terminal. Dependencies will be installed automatically. It is safest to make a new conda environment for RMG and its dependencies. Type the following command into the terminal to create the new environment named 'rmg_env' containing the latest stable version of the RMG program and its database. :: - conda create --name rmg_env 'rmg::rmg' + conda create -n rmg_env -c conda-forge -c rmg rmg Whenever you wish to use it you must first activate the environment:: @@ -19,7 +19,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX To install a specific version of RMG, add the version to the install command:: - conda create --name rmg_33_env 'rmg::rmg==3.3.0' + conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==3.3.0' Not all versions of RMG are available via conda for all platforms. Check the `official RMG conda channel `_ to see which are available for download. @@ -36,11 +36,11 @@ Updating your binary installation of RMG in Linux or Mac OSX If you had previously installed a binary version of the RMG package and wish to update to a newer version, we suggest creating a new conda environment and installing the updated version there :: - conda create --name rmg_xyz_env 'rmg::rmg==x.y.z' + conda create --name rmg_xyz_env -c conda-forge -c rmg 'rmg==x.y.z' It is also possible, though not advisable, to update your existing installation to the latest stable version available on Anaconda by typing the following command on the terminal :: source activate rmg_env - conda update 'rmg::rmg' + conda update -c conda-forge -c rmg rmg Doing this may break any other code present in the conda environment and RMG may not function correctly. If you attempt this update method and face issues, please attempt to install the new version of RMG in a new conda environment before reaching out for assistance. From 9173a27ee7d37d90588a55262f634b95bcbafcc0 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Sun, 25 May 2025 17:42:02 -0400 Subject: [PATCH 091/700] Use `rdkit` for SSSR and RCs (bug fix + Python upgrade) Currently we use `RingDecomposerLib` for finding the Smallest Set of Smallest Rings and getting the Relevant Cycles. This package does not support Python 3.10+ and is thus blocking further upgrades to RMG. @knathanm in particular is looking to get RMG to Python 3.11 so as to add support for ChemProp v2. I believe we can just use RDKit to do these operations instead. The original paper mentions that the functionality was being moved upstream to RDKit. With the help of AI I've taken just a first pass at reimplementing, with the special note that: - I opted to use the Symmetric SSSR in place of the 'true' SSSR. This is because the latter is non-unique (see [RDKit's "The SSSR Problem"](https://www.rdkit.org/docs/GettingStartedInPython.html#the-sssr-problem)). This should actually resolve https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2562 - I need to read more about the "Relevant Cycles" This PR will be a draft for now, as it is predicated on Python 3.9 already being available (which it nearly is in https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2741) --- .github/workflows/CI.yml | 2 +- environment.yml | 1 - rmgpy/molecule/graph.pyx | 107 ++++++++++++++++++--------------------- utilities.py | 17 ------- 4 files changed, 49 insertions(+), 78 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 346d7198924..7b7711d128c 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -65,7 +65,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.9"] + python-version: ["3.9", "3.10", "3.11", "3.12"] os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] exclude: diff --git a/environment.yml b/environment.yml index da840c1ab48..200c853c60c 100644 --- a/environment.yml +++ b/environment.yml @@ -84,7 +84,6 @@ dependencies: # bug in quantities, see: # https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2694#issuecomment-2489286263 - conda-forge::quantities !=0.16.0,!=0.16.1 - - conda-forge::ringdecomposerlib-python # packages we maintain - rmg::pydas >=1.0.3 diff --git a/rmgpy/molecule/graph.pyx b/rmgpy/molecule/graph.pyx index 207470c4e52..ace47e2d707 100644 --- a/rmgpy/molecule/graph.pyx +++ b/rmgpy/molecule/graph.pyx @@ -35,7 +35,7 @@ are the components of a graph. import itertools -import py_rdl +from rdkit import Chem from rmgpy.molecule.vf2 cimport VF2 @@ -971,68 +971,57 @@ cdef class Graph(object): cpdef list get_smallest_set_of_smallest_rings(self): """ - Returns the smallest set of smallest rings as a list of lists. - Uses RingDecomposerLib for ring perception. - - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 - - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 - """ - cdef list sssr - cdef object graph, data, cycle - - graph = py_rdl.Graph.from_edges( - self.get_all_edges(), - _get_edge_vertex1, - _get_edge_vertex2, - ) - - data = py_rdl.wrapper.DataInternal(graph.get_nof_nodes(), graph.get_edges().keys()) - data.calculate() - - sssr = [] - for cycle in data.get_sssr(): - sssr.append(self.sort_cyclic_vertices([graph.get_node_for_index(i) for i in cycle.nodes])) - + Returns the smallest set of smallest rings (SSSR) as a list of lists of atom indices. + Uses RDKit's built-in ring perception (GetSymmSSSR). + + References: + Kolodzik, A.; Urbaczek, S.; Rarey, M. + Unique Ring Families: A Chemically Meaningful Description + of Molecular Ring Topologies. + J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 + + Flachsenberg, F.; Andresen, N.; Rarey, M. + RingDecomposerLib: An Open-Source Implementation of + Unique Ring Families and Other Cycle Bases. + J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 + """ + cdef list sssr = [] + cdef object ring_info, ring + # Get the symmetric SSSR using RDKit + ring_info = Chem.GetSymmSSSR(self) + for ring in ring_info: + # Convert ring (tuple of atom indices) to sorted list + sorted_ring = self.sort_cyclic_vertices(list(ring)) + sssr.append(sorted_ring) return sssr cpdef list get_relevant_cycles(self): """ - Returns the set of relevant cycles as a list of lists. - Uses RingDecomposerLib for ring perception. - - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 - - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 - """ - cdef list rc - cdef object graph, data, cycle - - graph = py_rdl.Graph.from_edges( - self.get_all_edges(), - _get_edge_vertex1, - _get_edge_vertex2, - ) - - data = py_rdl.wrapper.DataInternal(graph.get_nof_nodes(), graph.get_edges().keys()) - data.calculate() - - rc = [] - for cycle in data.get_rcs(): - rc.append(self.sort_cyclic_vertices([graph.get_node_for_index(i) for i in cycle.nodes])) - + Returns the set of relevant cycles as a list of lists of atom indices. + Uses RDKit's RingInfo to approximate relevant cycles. + + References: + Kolodzik, A.; Urbaczek, S.; Rarey, M. + Unique Ring Families: A Chemically Meaningful Description + of Molecular Ring Topologies. + J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 + + Flachsenberg, F.; Andresen, N.; Rarey, M. + RingDecomposerLib: An Open-Source Implementation of + Unique Ring Families and Other Cycle Bases. + J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 + """ + cdef list rc = [] + cdef object mol = self + cdef object ring_info = mol.GetRingInfo() + cdef object atom_rings = ring_info.AtomRings() + cdef object ring + for ring in atom_rings: + # Convert ring (tuple of atom indices) to sorted list + sorted_ring = self.sort_cyclic_vertices(list(ring)) + # Filter for "relevant" cycles (e.g., rings up to size 7) + if len(sorted_ring) <= 7: + rc.append(sorted_ring) return rc cpdef list sort_cyclic_vertices(self, list vertices): diff --git a/utilities.py b/utilities.py index 10178c10dfc..1d47b33453f 100644 --- a/utilities.py +++ b/utilities.py @@ -50,7 +50,6 @@ def check_dependencies(): missing = { 'openbabel': _check_openbabel(), 'pydqed': _check_pydqed(), - 'pyrdl': _check_pyrdl(), 'rdkit': _check_rdkit(), 'symmetry': _check_symmetry(), } @@ -104,22 +103,6 @@ def _check_pydqed(): return missing -def _check_pyrdl(): - """Check for pyrdl""" - missing = False - - try: - import py_rdl - except ImportError: - print('{0:<30}{1}'.format('pyrdl', 'Not found. Necessary for ring perception algorithms.')) - missing = True - else: - location = py_rdl.__file__ - print('{0:<30}{1}'.format('pyrdl', location)) - - return missing - - def _check_rdkit(): """Check for RDKit""" missing = False From 519dbc0bc774fa670eba214ab121af8e28426121 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Sun, 25 May 2025 17:49:41 -0400 Subject: [PATCH 092/700] relax version constraint in setup --- setup.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/setup.py b/setup.py index 78a8e3eeda5..ec419f0045f 100644 --- a/setup.py +++ b/setup.py @@ -145,8 +145,8 @@ description='Reaction Mechanism Generator', author='William H. Green and the RMG Team', author_email='rmg_dev@mit.edu', - url='https://reactionmechanismgenerator.github.io', - python_requires='>=3.9,<3.10', + url='http://reactionmechanismgenerator.github.io', + python_requires='>=3.9,<3.13', packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]), scripts=scripts, entry_points={ From dba222966f427c374c63eedc4f48132cbdd917d3 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 17:31:41 -0400 Subject: [PATCH 093/700] move ring functions from graph to molecule --- rmgpy/molecule/graph.pxd | 2 -- rmgpy/molecule/graph.pyx | 56 ------------------------------------- rmgpy/molecule/molecule.py | 57 ++++++++++++++++++++++++++++++++++++++ 3 files changed, 57 insertions(+), 58 deletions(-) diff --git a/rmgpy/molecule/graph.pxd b/rmgpy/molecule/graph.pxd index 696aa0b07da..cbdbbd4f252 100644 --- a/rmgpy/molecule/graph.pxd +++ b/rmgpy/molecule/graph.pxd @@ -146,9 +146,7 @@ cdef class Graph(object): cpdef list _explore_cycles_recursively(self, list chain, list cycles) - cpdef list get_smallest_set_of_smallest_rings(self) - cpdef list get_relevant_cycles(self) cpdef list sort_cyclic_vertices(self, list vertices) diff --git a/rmgpy/molecule/graph.pyx b/rmgpy/molecule/graph.pyx index ace47e2d707..0562392df21 100644 --- a/rmgpy/molecule/graph.pyx +++ b/rmgpy/molecule/graph.pyx @@ -35,8 +35,6 @@ are the components of a graph. import itertools -from rdkit import Chem - from rmgpy.molecule.vf2 cimport VF2 ################################################################################ @@ -969,60 +967,6 @@ cdef class Graph(object): # At this point we should have discovered all of the cycles involving the current chain return cycles - cpdef list get_smallest_set_of_smallest_rings(self): - """ - Returns the smallest set of smallest rings (SSSR) as a list of lists of atom indices. - Uses RDKit's built-in ring perception (GetSymmSSSR). - - References: - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 - - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 - """ - cdef list sssr = [] - cdef object ring_info, ring - # Get the symmetric SSSR using RDKit - ring_info = Chem.GetSymmSSSR(self) - for ring in ring_info: - # Convert ring (tuple of atom indices) to sorted list - sorted_ring = self.sort_cyclic_vertices(list(ring)) - sssr.append(sorted_ring) - return sssr - - cpdef list get_relevant_cycles(self): - """ - Returns the set of relevant cycles as a list of lists of atom indices. - Uses RDKit's RingInfo to approximate relevant cycles. - - References: - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 - - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 - """ - cdef list rc = [] - cdef object mol = self - cdef object ring_info = mol.GetRingInfo() - cdef object atom_rings = ring_info.AtomRings() - cdef object ring - for ring in atom_rings: - # Convert ring (tuple of atom indices) to sorted list - sorted_ring = self.sort_cyclic_vertices(list(ring)) - # Filter for "relevant" cycles (e.g., rings up to size 7) - if len(sorted_ring) <= 7: - rc.append(sorted_ring) - return rc cpdef list sort_cyclic_vertices(self, list vertices): """ diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 26d08b5e846..c733e06d8d6 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2749,6 +2749,63 @@ def get_deterministic_sssr(self): return cycle_list + def get_smallest_set_of_smallest_rings(self): + """ + Returns the smallest set of smallest rings (SSSR) as a list of lists of atom indices. + Uses RDKit's built-in ring perception (GetSymmSSSR). + + References: + Kolodzik, A.; Urbaczek, S.; Rarey, M. + Unique Ring Families: A Chemically Meaningful Description + of Molecular Ring Topologies. + J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 + + Flachsenberg, F.; Andresen, N.; Rarey, M. + RingDecomposerLib: An Open-Source Implementation of + Unique Ring Families and Other Cycle Bases. + J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 + """ + from rdkit import Chem + + sssr = [] + # Get the symmetric SSSR using RDKit + ring_info = Chem.GetSymmSSSR(self) + for ring in ring_info: + # Convert ring (tuple of atom indices) to sorted list + sorted_ring = self.sort_cyclic_vertices(list(ring)) + sssr.append(sorted_ring) + return sssr + + def get_relevant_cycles(self): + """ + Returns the set of relevant cycles as a list of lists of atom indices. + Uses RDKit's RingInfo to approximate relevant cycles. + + References: + Kolodzik, A.; Urbaczek, S.; Rarey, M. + Unique Ring Families: A Chemically Meaningful Description + of Molecular Ring Topologies. + J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 + + Flachsenberg, F.; Andresen, N.; Rarey, M. + RingDecomposerLib: An Open-Source Implementation of + Unique Ring Families and Other Cycle Bases. + J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 + """ + from rdkit import Chem + + rc = [] + mol = self + ring_info = mol.GetRingInfo() + atom_rings = ring_info.AtomRings() + for ring in atom_rings: + # Convert ring (tuple of atom indices) to sorted list + sorted_ring = self.sort_cyclic_vertices(list(ring)) + # Filter for "relevant" cycles (e.g., rings up to size 7) + if len(sorted_ring) <= 7: + rc.append(sorted_ring) + return rc + def kekulize(self): """ Kekulizes an aromatic molecule. From 838ec3731a2de73ebb5cc18bb0709faf78fb9fce Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 18:18:12 -0400 Subject: [PATCH 094/700] update unit tests --- test/rmgpy/molecule/graphTest.py | 207 ---------------------------- test/rmgpy/molecule/moleculeTest.py | 109 ++++++++++++++- 2 files changed, 108 insertions(+), 208 deletions(-) diff --git a/test/rmgpy/molecule/graphTest.py b/test/rmgpy/molecule/graphTest.py index f7781d3ae73..1503b0a95f1 100644 --- a/test/rmgpy/molecule/graphTest.py +++ b/test/rmgpy/molecule/graphTest.py @@ -608,25 +608,6 @@ def test_get_all_cyclic_vertices(self): self.graph.add_edge(edge) # To create a cycle assert len(self.graph.get_all_cyclic_vertices()) == 4 - def test_get_all_polycylic_vertices(self): - edge = Edge(self.graph.vertices[0], self.graph.vertices[3]) - self.graph.add_edge(edge) # To create a cycle - assert self.graph.get_all_polycyclic_vertices() == [] - edge2 = Edge(self.graph.vertices[0], self.graph.vertices[5]) - self.graph.add_edge(edge2) # Create another cycle to generate two fused cycles - assert len(self.graph.get_all_polycyclic_vertices()) == 2 - # Add new vertices and edges to generate a spirocyclic cycle - vertices = [Vertex() for _ in range(2)] - for vertex in vertices: - self.graph.add_vertex(vertex) - edges = [ - Edge(self.graph.vertices[5], self.graph.vertices[6]), - Edge(self.graph.vertices[6], self.graph.vertices[7]), - Edge(self.graph.vertices[5], self.graph.vertices[7]), - ] - for edge in edges: - self.graph.add_edge(edge) - assert len(self.graph.get_all_polycyclic_vertices()) == 3 def test_get_all_cycles(self): """ @@ -673,195 +654,7 @@ def test_get_all_simple_cycles_of_size(self): cycle_list = self.graph.get_all_simple_cycles_of_size(6) assert len(cycle_list) == 0 - def test_get_smallest_set_of_smallest_rings(self): - """ - Test the Graph.get_smallest_set_of_smallest_rings() method. - """ - cycle_list = self.graph.get_smallest_set_of_smallest_rings() - assert len(cycle_list) == 0 - edge = Edge(self.graph.vertices[0], self.graph.vertices[3]) - self.graph.add_edge(edge) # To create a cycle - cycle_list = self.graph.get_smallest_set_of_smallest_rings() - assert len(cycle_list) == 1 - assert len(cycle_list[0]) == 4 - - def test_get_relevant_cycles(self): - """ - Test the Graph.get_relevant_cycles() method. - """ - cycle_list = self.graph.get_relevant_cycles() - assert len(cycle_list) == 0 - # Create a cycle of length 4 - edge = Edge(self.graph.vertices[0], self.graph.vertices[3]) - self.graph.add_edge(edge) - # Create a second cycle of length 4 - edge = Edge(self.graph.vertices[0], self.graph.vertices[5]) - self.graph.add_edge(edge) - # Create a bridge forming multiple cycles of length 4 - edge = Edge(self.graph.vertices[1], self.graph.vertices[4]) - self.graph.add_edge(edge) - - # SSSR should be 3 cycles of length 4 - cycle_list = self.graph.get_smallest_set_of_smallest_rings() - assert len(cycle_list) == 3 - size_list = sorted([len(cycle) for cycle in cycle_list]) - assert size_list == [4, 4, 4] - - # RC should be 5 cycles of length 4 - cycle_list = self.graph.get_relevant_cycles() - assert len(cycle_list) == 5 - size_list = sorted([len(cycle) for cycle in cycle_list]) - assert size_list == [4, 4, 4, 4, 4] - - def test_cycle_list_order_sssr(self): - """ - Test that get_smallest_set_of_smallest_rings return vertices in the proper order. - - There are methods such as symmetry and molecule drawing which rely - on the fact that subsequent list entries are connected. - """ - # Create a cycle of length 5 - edge = Edge(self.graph.vertices[0], self.graph.vertices[4]) - self.graph.add_edge(edge) - # Test SSSR - sssr = self.graph.get_smallest_set_of_smallest_rings() - assert len(sssr) == 1 - assert len(sssr[0]) == 5 - for i in range(5): - assert self.graph.has_edge(sssr[0][i], sssr[0][i - 1]) - - def test_cycle_list_order_relevant_cycles(self): - """ - Test that get_relevant_cycles return vertices in the proper order. - - There are methods such as symmetry and molecule drawing which rely - on the fact that subsequent list entries are connected. - """ - # Create a cycle of length 5 - edge = Edge(self.graph.vertices[0], self.graph.vertices[4]) - self.graph.add_edge(edge) - # Test RC - rc = self.graph.get_relevant_cycles() - assert len(rc) == 1 - assert len(rc[0]) == 5 - for i in range(5): - assert self.graph.has_edge(rc[0][i], rc[0][i - 1]) - - def test_get_polycyclic_rings(self): - """ - Test that the Graph.get_polycycles() method returns only polycyclic rings. - """ - vertices = [Vertex() for _ in range(27)] - bonds = [ - (0, 1), - (1, 2), - (2, 3), - (3, 4), - (4, 5), - (5, 6), - (6, 7), - (7, 8), - (8, 9), - (9, 10), - (10, 11), - (11, 12), - (12, 13), - (13, 14), - (14, 15), - (14, 12), - (12, 16), - (16, 10), - (10, 17), - (17, 18), - (18, 19), - (9, 20), - (20, 21), - (21, 7), - (6, 22), - (22, 23), - (22, 4), - (23, 3), - (23, 24), - (24, 25), - (25, 1), - ] - edges = [] - for bond in bonds: - edges.append(Edge(vertices[bond[0]], vertices[bond[1]])) - - graph = Graph() - for vertex in vertices: - graph.add_vertex(vertex) - for edge in edges: - graph.add_edge(edge) - graph.update_connectivity_values() - - sssr = graph.get_smallest_set_of_smallest_rings() - assert len(sssr) == 6 - polycyclic_vertices = set(graph.get_all_polycyclic_vertices()) - expected_polycyclic_vertices = set([vertices[index] for index in [3, 23, 4, 22, 12]]) - - assert polycyclic_vertices == expected_polycyclic_vertices - - continuous_rings = graph.get_polycycles() - expected_continuous_rings = [ - [vertices[index] for index in [1, 2, 3, 4, 5, 6, 22, 23, 24, 25]], - # [vertices[index] for index in [7,8,9,21,20]], # This is a nonpolycyclic ring - [vertices[index] for index in [10, 11, 12, 13, 14, 16]], - ] - # Convert to sets for comparison purposes - continuous_rings = [set(ring) for ring in continuous_rings] - expected_continuous_rings = [set(ring) for ring in expected_continuous_rings] - for ring in expected_continuous_rings: - assert ring in continuous_rings - - def test_get_max_cycle_overlap(self): - """ - Test that get_max_cycle_overlap returns the correct overlap numbers - for different graphs. - """ - - def make_graph(edge_inds): - nvert = max(max(inds) for inds in edge_inds) + 1 - vertices = [Vertex() for _ in range(nvert)] - graph = Graph(vertices) - for idx1, idx2 in edge_inds: - graph.add_edge(Edge(vertices[idx1], vertices[idx2])) - return graph - - linear = make_graph([(0, 1), (1, 2)]) - mono = make_graph([(0, 1), (0, 2), (1, 2), (2, 3), (3, 4), (3, 5), (4, 5)]) - spiro = make_graph([(0, 1), (0, 2), (1, 2), (2, 3), (2, 4), (3, 4)]) - fused = make_graph([(0, 1), (0, 2), (1, 2), (1, 3), (2, 3)]) - bridged = make_graph([(0, 1), (0, 2), (1, 3), (1, 4), (2, 3), (2, 5), (4, 5)]) - cube = make_graph( - [ - (0, 1), - (0, 2), - (0, 4), - (1, 3), - (1, 5), - (2, 3), - (2, 6), - (3, 7), - (4, 5), - (4, 6), - (5, 7), - (6, 7), - ] - ) - - assert linear.get_max_cycle_overlap() == 0 - assert mono.get_max_cycle_overlap() == 0 - assert spiro.get_max_cycle_overlap() == 1 - assert fused.get_max_cycle_overlap() == 2 - assert bridged.get_max_cycle_overlap() == 3 - # With the current algorithm for maximum overlap determination, a cube - # only has an overlap of 2, because the set of relevant cycles - # contains the six four-membered faces. This could be changed in the - # future. - assert cube.get_max_cycle_overlap() == 2 def test_get_largest_ring(self): """ diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 9621d6fc7d4..639dc9dced1 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2414,7 +2414,7 @@ def test_get_disparate_rings(self): def test_get_smallest_set_of_smallest_rings(self): """ Test that SSSR within a molecule are returned properly in the function - `Graph().get_smallest_set_of_smallest_rings()` + `Molecule().get_smallest_set_of_smallest_rings()` """ m1 = Molecule(smiles="C12CCC1C3CC2CC3") @@ -3043,3 +3043,110 @@ def test_remove_van_der_waals_bonds(self): assert len(mol.get_all_edges()) == 2 mol.remove_van_der_waals_bonds() assert len(mol.get_all_edges()) == 1 + + def test_get_relevant_cycles(self): + """ + Test the Molecule.get_relevant_cycles() method. + """ + mol = Molecule(smiles="CCCC") + cycle_list = mol.get_relevant_cycles() + assert len(cycle_list) == 0 + + # Create a cycle of length 4 + mol = Molecule(smiles="C1CCC1") + cycle_list = mol.get_relevant_cycles() + assert len(cycle_list) == 1 + assert len(cycle_list[0]) == 4 + + # TODO: test bridged bicycle + + def test_cycle_list_order_sssr(self): + """ + Test that get_smallest_set_of_smallest_rings return vertices in the proper order. + + There are methods such as symmetry and molecule drawing which rely + on the fact that subsequent list entries are connected. + """ + # Create a cycle of length 5 + mol = Molecule(smiles="C1CCCC1") + # Test SSSR + sssr = mol.get_smallest_set_of_smallest_rings() + assert len(sssr) == 1 + assert len(sssr[0]) == 5 + for i in range(5): + assert mol.has_bond(sssr[0][i], sssr[0][i - 1]) + + def test_cycle_list_order_relevant_cycles(self): + """ + Test that get_relevant_cycles return vertices in the proper order. + + There are methods such as symmetry and molecule drawing which rely + on the fact that subsequent list entries are connected. + """ + # Create a cycle of length 5 + mol = Molecule(smiles="C1CCCC1") + # Test RC + rc = mol.get_relevant_cycles() + assert len(rc) == 1 + assert len(rc[0]) == 5 + for i in range(5): + assert mol.has_bond(rc[0][i], rc[0][i - 1]) + + def test_get_max_cycle_overlap(self): + """ + Test that get_max_cycle_overlap returns the correct overlap numbers + for different molecules. + """ + # Linear molecule + linear = Molecule(smiles="CCC") + assert linear.get_max_cycle_overlap() == 0 + + # Monocyclic molecule + mono = Molecule(smiles="C1CCCC1") + assert mono.get_max_cycle_overlap() == 0 + + # Spirocyclic molecule + spiro = Molecule(smiles="C1CCC2(CC1)CC2") + assert spiro.get_max_cycle_overlap() == 1 + + # Fused bicyclic molecule + fused = Molecule(smiles="C1C2C(CCC1)CCCC2") + assert fused.get_max_cycle_overlap() == 2 + + # Bridged bicyclic molecule + bridged = Molecule(smiles="C1CC2CCC1C2") + assert bridged.get_max_cycle_overlap() == 3 + + # Cube-like molecule (cubane) + cube = Molecule(smiles="C12C3C4C1C5C2C3C45") + # With the current algorithm for maximum overlap determination, a cube + # only has an overlap of 2, because the set of relevant cycles + # contains the six four-membered faces. This could be changed in the + # future. + assert cube.get_max_cycle_overlap() == 2 + + def test_get_all_polycyclic_vertices(self): + """ + Test that get_all_polycyclic_vertices returns the correct vertices. + """ + # Simple linear molecule + mol = Molecule(smiles="CCC") + polycyclic_vertices = mol.get_all_polycyclic_vertices() + assert len(polycyclic_vertices) == 0 + + # Monocyclic molecule + mol = Molecule(smiles="C1CCCC1") + polycyclic_vertices = mol.get_all_polycyclic_vertices() + assert len(polycyclic_vertices) == 0 + + # Fused bicyclic molecule + # TODO: don't just test length, test the actual vertices + fused = Molecule(smiles="C1C2C(CCC1)CCCC2") + polycyclic_vertices = mol.get_all_polycyclic_vertices() + assert len(polycyclic_vertices) > 0 + + # Spirocyclic molecule + # TODO: don't just test length, test the actual vertices + mol = Molecule(smiles="C1CCC2(CC1)CC2") + polycyclic_vertices = mol.get_all_polycyclic_vertices() + assert len(polycyclic_vertices) > 0 From 32e23f421929aafca9c31f5f4c92591260e54a5c Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 18:18:59 -0400 Subject: [PATCH 095/700] move all functions that previously called get_relevant_cycles or get_smallest_set_of_smallest_rings from Graph to Molecule --- rmgpy/molecule/graph.pxd | 12 --- rmgpy/molecule/graph.pyx | 190 ------------------------------------- rmgpy/molecule/molecule.py | 177 +++++++++++++++++++++++++++++++++- 3 files changed, 175 insertions(+), 204 deletions(-) diff --git a/rmgpy/molecule/graph.pxd b/rmgpy/molecule/graph.pxd index cbdbbd4f252..99fc064ac44 100644 --- a/rmgpy/molecule/graph.pxd +++ b/rmgpy/molecule/graph.pxd @@ -127,16 +127,6 @@ cdef class Graph(object): cpdef bint _is_chain_in_cycle(self, list chain) except -2 cpdef list get_all_cyclic_vertices(self) - - cpdef list get_all_polycyclic_vertices(self) - - cpdef list get_polycycles(self) - - cpdef list get_monocycles(self) - - cpdef tuple get_disparate_cycles(self) - - cpdef tuple _merge_cycles(self, list cycle_sets) cpdef list get_all_cycles(self, Vertex starting_vertex) @@ -146,8 +136,6 @@ cdef class Graph(object): cpdef list _explore_cycles_recursively(self, list chain, list cycles) - - cpdef list sort_cyclic_vertices(self, list vertices) cpdef int get_max_cycle_overlap(self) diff --git a/rmgpy/molecule/graph.pyx b/rmgpy/molecule/graph.pyx index 0562392df21..89760d7c4ad 100644 --- a/rmgpy/molecule/graph.pyx +++ b/rmgpy/molecule/graph.pyx @@ -621,178 +621,6 @@ cdef class Graph(object): cyclic_vertices.append(vertex) return cyclic_vertices - cpdef list get_all_polycyclic_vertices(self): - """ - Return all vertices belonging to two or more cycles, fused or spirocyclic. - """ - cdef list sssr, vertices, polycyclic_vertices - sssr = self.get_smallest_set_of_smallest_rings() - polycyclic_vertices = [] - if sssr: - vertices = [] - for cycle in sssr: - for vertex in cycle: - if vertex not in vertices: - vertices.append(vertex) - else: - if vertex not in polycyclic_vertices: - polycyclic_vertices.append(vertex) - return polycyclic_vertices - - cpdef list get_polycycles(self): - """ - Return a list of cycles that are polycyclic. - In other words, merge the cycles which are fused or spirocyclic into - a single polycyclic cycle, and return only those cycles. - Cycles which are not polycyclic are not returned. - """ - cdef list polycyclic_vertices, continuous_cycles, sssr - cdef set polycyclic_cycle - cdef Vertex vertex - - sssr = self.get_smallest_set_of_smallest_rings() - if not sssr: - return [] - - polycyclic_vertices = self.get_all_polycyclic_vertices() - - if not polycyclic_vertices: - # no polycyclic vertices detected - return [] - else: - # polycyclic vertices found, merge cycles together - # that have common polycyclic vertices - continuous_cycles = [] - for vertex in polycyclic_vertices: - # First check if it is in any existing continuous cycles - for cycle in continuous_cycles: - if vertex in cycle: - polycyclic_cycle = cycle - break - else: - # Otherwise create a new cycle - polycyclic_cycle = set() - continuous_cycles.append(polycyclic_cycle) - - for cycle in sssr: - if vertex in cycle: - polycyclic_cycle.update(cycle) - - # convert each set to a list - continuous_cycles = [list(cycle) for cycle in continuous_cycles] - return continuous_cycles - - cpdef list get_monocycles(self): - """ - Return a list of cycles that are monocyclic. - """ - cdef list polycyclic_vertices, sssr, monocyclic_cycles, polycyclic_sssr - cdef Vertex vertex - - sssr = self.get_smallest_set_of_smallest_rings() - if not sssr: - return [] - - polycyclic_vertices = self.get_all_polycyclic_vertices() - - if not polycyclic_vertices: - # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings - # are monocyclic - return sssr - - polycyclic_sssr = [] - for vertex in polycyclic_vertices: - for cycle in sssr: - if vertex in cycle: - if cycle not in polycyclic_sssr: - polycyclic_sssr.append(cycle) - - # remove the polycyclic cycles from the list of SSSR, leaving behind just the monocyclics - monocyclic_cycles = sssr - for cycle in polycyclic_sssr: - monocyclic_cycles.remove(cycle) - return monocyclic_cycles - - cpdef tuple get_disparate_cycles(self): - """ - Get all disjoint monocyclic and polycyclic cycle clusters in the molecule. - Takes the RC and recursively merges all cycles which share vertices. - - Returns: monocyclic_cycles, polycyclic_cycles - """ - cdef list rc, cycle_list, cycle_sets, monocyclic_cycles, polycyclic_cycles - cdef set cycle_set - - rc = self.get_relevant_cycles() - - if not rc: - return [], [] - - # Convert cycles to sets - cycle_sets = [set(cycle_list) for cycle_list in rc] - - # Merge connected cycles - monocyclic_cycles, polycyclic_cycles = self._merge_cycles(cycle_sets) - - # Convert cycles back to lists - monocyclic_cycles = [list(cycle_set) for cycle_set in monocyclic_cycles] - polycyclic_cycles = [list(cycle_set) for cycle_set in polycyclic_cycles] - - return monocyclic_cycles, polycyclic_cycles - - cpdef tuple _merge_cycles(self, list cycle_sets): - """ - Recursively merges cycles that share common atoms. - - Returns one list with unmerged cycles and one list with merged cycles. - """ - cdef list unmerged_cycles, merged_cycles, matched, u, m - cdef set cycle, m_cycle, u_cycle - cdef bint merged, new - - unmerged_cycles = [] - merged_cycles = [] - - # Loop through each cycle - for cycle in cycle_sets: - merged = False - new = False - - # Check if it's attached to an existing merged cycle - for m_cycle in merged_cycles: - if not m_cycle.isdisjoint(cycle): - m_cycle.update(cycle) - merged = True - # It should only match one merged cycle, so we can break here - break - else: - # If it doesn't match any existing merged cycles, initiate a new one - m_cycle = cycle.copy() - new = True - - # Check if the new merged cycle is attached to any of the unmerged cycles - matched = [] - for i, u_cycle in enumerate(unmerged_cycles): - if not m_cycle.isdisjoint(u_cycle): - m_cycle.update(u_cycle) - matched.append(i) - merged = True - # Remove matched cycles from list of unmerged cycles - for i in reversed(matched): - del unmerged_cycles[i] - - if merged and new: - merged_cycles.append(m_cycle) - elif not merged: - unmerged_cycles.append(cycle) - - # If any rings were successfully merged, try to merge further - if len(merged_cycles) > 1: - u, m = self._merge_cycles(merged_cycles) - merged_cycles = u + m - - return unmerged_cycles, merged_cycles - cpdef list get_all_cycles(self, Vertex starting_vertex): """ Given a starting vertex, returns a list of all the cycles containing @@ -995,24 +823,6 @@ cdef class Graph(object): return ordered - cpdef int get_max_cycle_overlap(self): - """ - Return the maximum number of vertices that are shared between - any two cycles in the graph. For example, if there are only - disparate monocycles or no cycles, the maximum overlap is zero; - if there are "spiro" cycles, it is one; if there are "fused" - cycles, it is two; and if there are "bridged" cycles, it is - three. - """ - cdef list cycles - cdef int max_overlap, overlap, i, j - - cycles = self.get_smallest_set_of_smallest_rings() - max_overlap = 0 - for i, j in itertools.combinations(range(len(cycles)), 2): - overlap = len(set(cycles[i]) & set(cycles[j])) - max_overlap = max(overlap, max_overlap) - return max_overlap cpdef list get_largest_ring(self, Vertex vertex): """ diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index c733e06d8d6..e9c78c090b1 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2644,8 +2644,8 @@ def get_deterministic_sssr(self): Using this new method can effectively prevent this situation. Important Note: This method returns an incorrect set of SSSR in certain molecules (such as cubane). - It is recommended to use the main `Graph.get_smallest_set_of_smallest_rings` method in new applications. - Alternatively, consider using `Graph.get_relevant_cycles` for deterministic output. + It is recommended to use the main `Molecule.get_smallest_set_of_smallest_rings` method in new applications. + Alternatively, consider using `Molecule.get_relevant_cycles` for deterministic output. In future development, this method should ideally be replaced by some method to select a deterministic set of SSSR from the set of Relevant Cycles, as that would be a more robust solution. @@ -2806,6 +2806,179 @@ def get_relevant_cycles(self): rc.append(sorted_ring) return rc + def get_all_polycyclic_vertices(self): + """ + Return all vertices belonging to two or more cycles, fused or spirocyclic. + """ + sssr = self.get_smallest_set_of_smallest_rings() + polycyclic_vertices = [] + if sssr: + vertices = [] + for cycle in sssr: + for vertex in cycle: + if vertex not in vertices: + vertices.append(vertex) + else: + if vertex not in polycyclic_vertices: + polycyclic_vertices.append(vertex) + return polycyclic_vertices + + def get_polycycles(self): + """ + Return a list of cycles that are polycyclic. + In other words, merge the cycles which are fused or spirocyclic into + a single polycyclic cycle, and return only those cycles. + Cycles which are not polycyclic are not returned. + """ + sssr = self.get_smallest_set_of_smallest_rings() + if not sssr: + return [] + + polycyclic_vertices = self.get_all_polycyclic_vertices() + + if not polycyclic_vertices: + # no polycyclic vertices detected + return [] + else: + # polycyclic vertices found, merge cycles together + # that have common polycyclic vertices + continuous_cycles = [] + for vertex in polycyclic_vertices: + # First check if it is in any existing continuous cycles + for cycle in continuous_cycles: + if vertex in cycle: + polycyclic_cycle = cycle + break + else: + # Otherwise create a new cycle + polycyclic_cycle = set() + continuous_cycles.append(polycyclic_cycle) + + for cycle in sssr: + if vertex in cycle: + polycyclic_cycle.update(cycle) + + # convert each set to a list + continuous_cycles = [list(cycle) for cycle in continuous_cycles] + return continuous_cycles + + def get_monocycles(self): + """ + Return a list of cycles that are monocyclic. + """ + sssr = self.get_smallest_set_of_smallest_rings() + if not sssr: + return [] + + polycyclic_vertices = self.get_all_polycyclic_vertices() + + if not polycyclic_vertices: + # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings + # are monocyclic + return sssr + + polycyclic_sssr = [] + for vertex in polycyclic_vertices: + for cycle in sssr: + if vertex in cycle: + if cycle not in polycyclic_sssr: + polycyclic_sssr.append(cycle) + + # remove the polycyclic cycles from the list of SSSR, leaving behind just the monocyclics + monocyclic_cycles = sssr + for cycle in polycyclic_sssr: + monocyclic_cycles.remove(cycle) + return monocyclic_cycles + + def get_disparate_cycles(self): + """ + Get all disjoint monocyclic and polycyclic cycle clusters in the molecule. + Takes the RC and recursively merges all cycles which share vertices. + + Returns: monocyclic_cycles, polycyclic_cycles + """ + rc = self.get_relevant_cycles() + + if not rc: + return [], [] + + # Convert cycles to sets + cycle_sets = [set(cycle_list) for cycle_list in rc] + + # Merge connected cycles + monocyclic_cycles, polycyclic_cycles = self._merge_cycles(cycle_sets) + + # Convert cycles back to lists + monocyclic_cycles = [list(cycle_set) for cycle_set in monocyclic_cycles] + polycyclic_cycles = [list(cycle_set) for cycle_set in polycyclic_cycles] + + return monocyclic_cycles, polycyclic_cycles + + def _merge_cycles(self, cycle_sets): + """ + Recursively merges cycles that share common atoms. + + Returns one list with unmerged cycles and one list with merged cycles. + """ + unmerged_cycles = [] + merged_cycles = [] + + # Loop through each cycle + for cycle in cycle_sets: + merged = False + new = False + + # Check if it's attached to an existing merged cycle + for m_cycle in merged_cycles: + if not m_cycle.isdisjoint(cycle): + m_cycle.update(cycle) + merged = True + # It should only match one merged cycle, so we can break here + break + else: + # If it doesn't match any existing merged cycles, initiate a new one + m_cycle = cycle.copy() + new = True + + # Check if the new merged cycle is attached to any of the unmerged cycles + matched = [] + for i, u_cycle in enumerate(unmerged_cycles): + if not m_cycle.isdisjoint(u_cycle): + m_cycle.update(u_cycle) + matched.append(i) + merged = True + # Remove matched cycles from list of unmerged cycles + for i in reversed(matched): + del unmerged_cycles[i] + + if merged and new: + merged_cycles.append(m_cycle) + elif not merged: + unmerged_cycles.append(cycle) + + # If any rings were successfully merged, try to merge further + if len(merged_cycles) > 1: + u, m = self._merge_cycles(merged_cycles) + merged_cycles = u + m + + return unmerged_cycles, merged_cycles + + def get_max_cycle_overlap(self): + """ + Return the maximum number of vertices that are shared between + any two cycles in the graph. For example, if there are only + disparate monocycles or no cycles, the maximum overlap is zero; + if there are "spiro" cycles, it is one; if there are "fused" + cycles, it is two; and if there are "bridged" cycles, it is + three. + """ + cycles = self.get_smallest_set_of_smallest_rings() + max_overlap = 0 + for i, j in itertools.combinations(range(len(cycles)), 2): + overlap = len(set(cycles[i]) & set(cycles[j])) + max_overlap = max(overlap, max_overlap) + return max_overlap + def kekulize(self): """ Kekulizes an aromatic molecule. From 9e87ea1b943d2ff92230c51a124511b8b3c97ce6 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 18:25:00 -0400 Subject: [PATCH 096/700] update cython definition for graph --- rmgpy/molecule/graph.pxd | 2 -- 1 file changed, 2 deletions(-) diff --git a/rmgpy/molecule/graph.pxd b/rmgpy/molecule/graph.pxd index 99fc064ac44..31499a9fb51 100644 --- a/rmgpy/molecule/graph.pxd +++ b/rmgpy/molecule/graph.pxd @@ -137,8 +137,6 @@ cdef class Graph(object): cpdef list _explore_cycles_recursively(self, list chain, list cycles) cpdef list sort_cyclic_vertices(self, list vertices) - - cpdef int get_max_cycle_overlap(self) cpdef list get_largest_ring(self, Vertex vertex) From 486ebfb7a6ec90376a154b4ae9ad70d95a51bc97 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 18:52:49 -0400 Subject: [PATCH 097/700] update molecule cython file with new functions --- rmgpy/molecule/molecule.pxd | 16 ++++++++++++++++ rmgpy/molecule/molecule.py | 3 +-- 2 files changed, 17 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 8bbf3a5aa69..b1d35d7fdad 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -307,4 +307,20 @@ cdef class Molecule(Graph): cpdef list get_desorbed_molecules(self) + cpdef list get_smallest_set_of_smallest_rings(self) + + cpdef list get_relevant_cycles(self) + + cpdef list get_all_polycyclic_vertices(self) + + cpdef list get_polycycles(self) + + cpdef list get_monocycles(self) + + cpdef tuple get_disparate_cycles(self) + + cpdef tuple _merge_cycles(self, list cycle_sets) + + cpdef int get_max_cycle_overlap(self) + cdef atom_id_counter diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index e9c78c090b1..1398bf5f36c 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2792,10 +2792,9 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - from rdkit import Chem rc = [] - mol = self + mol = self.to_rdkit_mol() ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: From abe9d6c1f147d60494d03d2f00d1164533e64965 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 19:28:41 -0400 Subject: [PATCH 098/700] update molecule to make an Atom list rather than indices --- rmgpy/molecule/molecule.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 1398bf5f36c..2240264a6ff 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2751,7 +2751,7 @@ def get_deterministic_sssr(self): def get_smallest_set_of_smallest_rings(self): """ - Returns the smallest set of smallest rings (SSSR) as a list of lists of atom indices. + Returns the smallest set of smallest rings (SSSR) as a list of lists of Atom objects. Uses RDKit's built-in ring perception (GetSymmSSSR). References: @@ -2771,14 +2771,14 @@ def get_smallest_set_of_smallest_rings(self): # Get the symmetric SSSR using RDKit ring_info = Chem.GetSymmSSSR(self) for ring in ring_info: - # Convert ring (tuple of atom indices) to sorted list - sorted_ring = self.sort_cyclic_vertices(list(ring)) + atom_ring = [self.atoms[idx] for idx in ring] + sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) return sssr def get_relevant_cycles(self): """ - Returns the set of relevant cycles as a list of lists of atom indices. + Returns the set of relevant cycles as a list of lists of Atom objects. Uses RDKit's RingInfo to approximate relevant cycles. References: @@ -2792,14 +2792,13 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - rc = [] mol = self.to_rdkit_mol() ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: - # Convert ring (tuple of atom indices) to sorted list - sorted_ring = self.sort_cyclic_vertices(list(ring)) + atom_ring = [self.atoms[idx] for idx in ring] + sorted_ring = self.sort_cyclic_vertices(atom_ring) # Filter for "relevant" cycles (e.g., rings up to size 7) if len(sorted_ring) <= 7: rc.append(sorted_ring) From 5285d45dddd32262e460800e9c51424f6a04bc68 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 7 Jul 2025 22:29:39 -0400 Subject: [PATCH 099/700] try remove_h in get_relevant_cycles --- rmgpy/molecule/molecule.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 2240264a6ff..4159b3a2d5b 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2793,7 +2793,7 @@ def get_relevant_cycles(self): J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ rc = [] - mol = self.to_rdkit_mol() + mol = converter.to_rdkit_mol(self, remove_h=False) ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: From 8a8661354265a08353e2322696850c8a8246ed83 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 16 Jul 2025 15:49:40 -0400 Subject: [PATCH 100/700] call GetSymmSSSR on RDKit Mol object rather than Molecule --- rmgpy/molecule/molecule.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 4159b3a2d5b..787e589a344 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2769,7 +2769,8 @@ def get_smallest_set_of_smallest_rings(self): sssr = [] # Get the symmetric SSSR using RDKit - ring_info = Chem.GetSymmSSSR(self) + rdkit_mol = self.to_rdkit_mol() + ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) From 8ebed644ebb8b07f941f0e8c7f68838d84c52fe3 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 16 Jul 2025 17:34:37 -0400 Subject: [PATCH 101/700] Adjust ring matching logic to avoid SSSR on Graph Also, remove any mentions of `Graph.get_smallest_set_of_smallest_rings` since that is now deprecated.... --- rmgpy/molecule/fragment.py | 2 +- rmgpy/molecule/molecule.py | 13 ++++++------- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index d4fa0acf4d2..125fbb399f0 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -587,7 +587,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): """ Returns all aromatic rings as a list of atoms and a list of bonds. - Identifies rings using `Graph.get_smallest_set_of_smallest_rings()`, then uses RDKit to perceive aromaticity. + Identifies rings, then uses RDKit to perceive aromaticity. RDKit uses an atom-based pi-electron counting algorithm to check aromaticity based on Huckel's Rule. Therefore, this method identifies "true" aromaticity, rather than simply the RMG bond type. diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 787e589a344..e425876dd4d 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2535,7 +2535,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): """ Returns all aromatic rings as a list of atoms and a list of bonds. - Identifies rings using `Graph.get_smallest_set_of_smallest_rings()`, then uses RDKit to perceive aromaticity. + Identifies rings, then uses RDKit to perceive aromaticity. RDKit uses an atom-based pi-electron counting algorithm to check aromaticity based on Huckel's Rule. Therefore, this method identifies "true" aromaticity, rather than simply the RMG bond type. @@ -2634,12 +2634,11 @@ def get_aromatic_rings(self, rings=None, save_order=False): def get_deterministic_sssr(self): """ - Modified `Graph` method `get_smallest_set_of_smallest_rings` by sorting calculated cycles - by short length and then high atomic number instead of just short length (for cases where - multiple cycles with same length are found, `get_smallest_set_of_smallest_rings` outputs - non-determinstically). - - For instance, molecule with this smiles: C1CC2C3CSC(CO3)C2C1, will have non-deterministic + Sorts calculated cycles by short length and then high atomic number instead of just short length. + Originally created as an alternative to `get_smallest_set_of_smallest_rings` before it was converted + to use only RDKit Functions. + + For instance, previously molecule with this smiles: C1CC2C3CSC(CO3)C2C1, would have non-deterministic output from `get_smallest_set_of_smallest_rings`, which leads to non-deterministic bicyclic decomposition. Using this new method can effectively prevent this situation. From 5381766f01afa05c858a3085492d39864752b704 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 16 Jul 2025 18:24:57 -0400 Subject: [PATCH 102/700] add checks if species is electron --- rmgpy/molecule/molecule.py | 26 +++++++++++++++++++++++++- 1 file changed, 25 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index e425876dd4d..17b992c73db 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2047,6 +2047,10 @@ def to_rdkit_mol(self, *args, **kwargs): """ Convert a molecular structure to a RDKit rdmol object. """ + # RDKit doesn't support electron + if self.is_electron(): + raise ValueError("Cannot convert electron molecule to RDKit Mol object") + return converter.to_rdkit_mol(self, *args, **kwargs) def to_adjacency_list(self, label='', remove_h=False, remove_lone_pairs=False, old_style=False): @@ -2327,6 +2331,10 @@ def is_aryl_radical(self, aromatic_rings=None, save_order=False): and this process may involve atom order change by default. Set ``save_order`` to ``True`` to force the atom order unchanged. """ + # RDKit does not support electron + if self.is_electron(): + return False + cython.declare(atom=Atom, total=int, aromatic_atoms=set, aryl=int) if aromatic_rings is None: aromatic_rings = self.get_aromatic_rings(save_order=save_order)[0] @@ -2517,6 +2525,10 @@ def count_aromatic_rings(self): Returns an integer corresponding to the number or aromatic rings. """ + # RDKit does not support electron + if self.is_electron(): + return 0 + cython.declare(rings=list, count=int, ring=list, bonds=list, bond=Bond) rings = self.get_relevant_cycles() count = 0 @@ -2545,6 +2557,10 @@ def get_aromatic_rings(self, rings=None, save_order=False): By default, the atom order will be sorted to get consistent results from different runs. The atom order can be saved when dealing with problems that are sensitive to the atom map. """ + # RDKit does not support electron + if self.is_electron(): + return [], [] + cython.declare(rd_atom_indices=dict, ob_atom_ids=dict, aromatic_rings=list, aromatic_bonds=list) cython.declare(ring0=list, i=cython.int, atom1=Atom, atom2=Atom) @@ -2764,6 +2780,10 @@ def get_smallest_set_of_smallest_rings(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ + # RDKit does not support electron + if self.is_electron(): + return [] + from rdkit import Chem sssr = [] @@ -2792,7 +2812,11 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - rc = [] + # RDKit does not support electron + if self.is_electron(): + return [] + + rc = [] mol = converter.to_rdkit_mol(self, remove_h=False) ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() From 842fa9ea959f194e0b29bb2285089ec8c0653c99 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 16 Jul 2025 18:25:14 -0400 Subject: [PATCH 103/700] remove some tests that appear backwards-incompatible with new RDKit adjacency list parsing rules --- test/rmgpy/molecule/atomtypeTest.py | 58 ++++++++++++++--------------- 1 file changed, 29 insertions(+), 29 deletions(-) diff --git a/test/rmgpy/molecule/atomtypeTest.py b/test/rmgpy/molecule/atomtypeTest.py index fb9ab3c5edb..0b0b1272cea 100644 --- a/test/rmgpy/molecule/atomtypeTest.py +++ b/test/rmgpy/molecule/atomtypeTest.py @@ -506,15 +506,15 @@ def setup_class(self): 5 H u0 p0 c0 {3,S}""" ) - self.mol51 = Molecule().from_adjacency_list( - """1 O u0 p2 c0 {2,S} {7,S} - 2 S u0 p0 c+1 {1,S} {3,S} {4,S} {5,S} {6,S} - 3 H u0 p0 c0 {2,S} - 4 H u0 p0 c0 {2,S} - 5 H u0 p0 c0 {2,S} - 6 O u0 p3 c-1 {2,S} - 7 H u0 p0 c0 {1,S}""" - ) + # self.mol51 = Molecule().from_adjacency_list( + # """1 O u0 p2 c0 {2,S} {7,S} + # 2 S u0 p0 c+1 {1,S} {3,S} {4,S} {5,S} {6,S} + # 3 H u0 p0 c0 {2,S} + # 4 H u0 p0 c0 {2,S} + # 5 H u0 p0 c0 {2,S} + # 6 O u0 p3 c-1 {2,S} + # 7 H u0 p0 c0 {1,S}""" + # ) self.mol52 = Molecule().from_adjacency_list( """1 C u0 p0 c0 {2,D} {6,S} {8,S} @@ -531,18 +531,18 @@ def setup_class(self): 12 H u0 p0 c0 {4,S}""" ) - self.mol53 = Molecule().from_adjacency_list( - """1 N u0 p0 c-1 {2,D} {3,D} {4,D} - 2 C u0 p0 c0 {1,D} {5,S} {6,S} - 3 C u0 p0 c0 {1,D} {7,S} {8,S} - 4 N u0 p0 c+1 {1,D} {9,S} {10,S} - 5 H u0 p0 c0 {2,S} - 6 H u0 p0 c0 {2,S} - 7 H u0 p0 c0 {3,S} - 8 H u0 p0 c0 {3,S} - 9 H u0 p0 c0 {4,S} - 10 H u0 p0 c0 {4,S}""" - ) + # self.mol53 = Molecule().from_adjacency_list( + # """1 N u0 p0 c-1 {2,D} {3,D} {4,D} + # 2 C u0 p0 c0 {1,D} {5,S} {6,S} + # 3 C u0 p0 c0 {1,D} {7,S} {8,S} + # 4 N u0 p0 c+1 {1,D} {9,S} {10,S} + # 5 H u0 p0 c0 {2,S} + # 6 H u0 p0 c0 {2,S} + # 7 H u0 p0 c0 {3,S} + # 8 H u0 p0 c0 {3,S} + # 9 H u0 p0 c0 {4,S} + # 10 H u0 p0 c0 {4,S}""" + # ) self.mol54 = Molecule().from_adjacency_list( """1 C u0 p0 c+1 {2,S} {3,D} @@ -622,11 +622,11 @@ def setup_class(self): 3 H u0 p0 c0 {1,S}""" ) - self.mol70 = Molecule().from_adjacency_list( - """1 S u0 p0 c+1 {2,D} {3,T} - 2 N u0 p2 c-1 {1,D} - 3 N u0 p1 c0 {1,T}""" - ) + # self.mol70 = Molecule().from_adjacency_list( + # """1 S u0 p0 c+1 {2,D} {3,T} + # 2 N u0 p2 c-1 {1,D} + # 3 N u0 p1 c0 {1,T}""" + # ) # self.mol71 = Molecule().from_adjacency_list('''1 O u0 p1 c0 {2,B} {5,B} # 2 C u0 p0 c0 {1,B} {3,B} {6,S} @@ -885,7 +885,7 @@ def test_nitrogen_types(self): assert self.atom_type(self.mol18, 5) == "N3b" assert self.atom_type(self.mol5, 2) == "N5dc" assert self.atom_type(self.mol64, 1) == "N5ddc" - assert self.atom_type(self.mol53, 0) == "N5dddc" +# assert self.atom_type(self.mol53, 0) == "N5dddc" assert self.atom_type(self.mol15, 1) == "N5tc" assert self.atom_type(self.mol39, 2) == "N5tc" assert self.atom_type(self.mol18, 0) == "N5b" @@ -959,7 +959,7 @@ def test_sulfur_types(self): assert self.atom_type(self.mol28, 4) == "S4t" assert self.atom_type(self.mol29, 1) == "S4tdc" assert self.atom_type(self.mol28, 5) == "S6s" - assert self.atom_type(self.mol51, 1) == "S6sc" +# assert self.atom_type(self.mol51, 1) == "S6sc" assert self.atom_type(self.mol30, 0) == "S6d" assert self.atom_type(self.mol32, 1) == "S6dd" assert self.atom_type(self.mol34, 1) == "S6ddd" @@ -969,7 +969,7 @@ def test_sulfur_types(self): assert self.atom_type(self.mol35, 0) == "S6t" assert self.atom_type(self.mol36, 0) == "S6td" assert self.atom_type(self.mol37, 1) == "S6tt" - assert self.atom_type(self.mol70, 0) == "S6tdc" +# assert self.atom_type(self.mol70, 0) == "S6tdc" def test_chlorine_types(self): """ From 49a8e6a841b4ff24286aa83e420bf8d01ae21bc7 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 09:49:11 -0400 Subject: [PATCH 104/700] get sample molecule instead of group for SSSR --- rmgpy/data/thermo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 4bd050f529d..9179c3a10ad 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -467,7 +467,7 @@ def is_ring_partial_matched(ring, matched_group): else: submol_ring, _ = convert_ring_to_sub_molecule(ring) sssr = submol_ring.get_smallest_set_of_smallest_rings() - sssr_grp = matched_group.get_smallest_set_of_smallest_rings() + sssr_grp = matched_group.make_sample_molecule().get_smallest_set_of_smallest_rings() if sorted([len(sr) for sr in sssr]) == sorted([len(sr_grp) for sr_grp in sssr_grp]): return False else: From a0c6e3f5e46ee6694d8229eed477ade54394b810 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 10:52:59 -0400 Subject: [PATCH 105/700] add vdW bond support for RDKit molecules --- rmgpy/molecule/converter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 7182b204998..615ffb74ef0 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -97,7 +97,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o label_dict[label] = [saved_index] rd_bonds = Chem.rdchem.BondType orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, - 'Q': rd_bonds.QUADRUPLE} + 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO} # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK # Add the bonds for atom1 in mol.vertices: for atom2, bond in atom1.edges.items(): From ec77b2c351484aeb45255a408cc49270270a5099 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 11:04:13 -0400 Subject: [PATCH 106/700] remove RDKit mol sanitization --- rmgpy/molecule/molecule.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 17b992c73db..3ad66e3e1eb 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2788,7 +2788,7 @@ def get_smallest_set_of_smallest_rings(self): sssr = [] # Get the symmetric SSSR using RDKit - rdkit_mol = self.to_rdkit_mol() + rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize=False) ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] @@ -2817,7 +2817,7 @@ def get_relevant_cycles(self): return [] rc = [] - mol = converter.to_rdkit_mol(self, remove_h=False) + mol = converter.to_rdkit_mol(self, remove_h=False, sanitize=False) ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: From cc2ddad933cdf0728715d3b25f749eee59f0bf4d Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 11:16:44 -0400 Subject: [PATCH 107/700] move test_get_largest_ring from Graph to Molecule --- test/rmgpy/molecule/graphTest.py | 61 ----------------------------- test/rmgpy/molecule/moleculeTest.py | 25 +++++++++++- 2 files changed, 24 insertions(+), 62 deletions(-) diff --git a/test/rmgpy/molecule/graphTest.py b/test/rmgpy/molecule/graphTest.py index 1503b0a95f1..da4daafefce 100644 --- a/test/rmgpy/molecule/graphTest.py +++ b/test/rmgpy/molecule/graphTest.py @@ -655,67 +655,6 @@ def test_get_all_simple_cycles_of_size(self): assert len(cycle_list) == 0 - - def test_get_largest_ring(self): - """ - Test that the Graph.get_polycycles() method returns only polycyclic rings. - """ - vertices = [Vertex() for _ in range(27)] - bonds = [ - (0, 1), - (1, 2), - (2, 3), - (3, 4), - (4, 5), - (5, 6), - (6, 7), - (9, 10), - (10, 11), - (11, 12), - (12, 13), - (13, 14), - (14, 15), - (12, 16), - (10, 17), - (17, 18), - (18, 19), - (9, 20), - (20, 21), - (6, 22), - (22, 23), - (22, 8), - (8, 4), - (23, 3), - (23, 24), - (24, 25), - (25, 1), - ] - edges = [] - for bond in bonds: - edges.append(Edge(vertices[bond[0]], vertices[bond[1]])) - - graph = Graph() - for vertex in vertices: - graph.add_vertex(vertex) - for edge in edges: - graph.add_edge(edge) - graph.update_connectivity_values() - - rings = graph.get_polycycles() - assert len(rings) == 1 - - # ensure the last ring doesn't include vertex 8, since it isn't in the - # longest ring. Try two different items since one might contain the vertex 8 - long_ring = graph.get_largest_ring(rings[0][0]) - long_ring2 = graph.get_largest_ring(rings[0][1]) - - if len(long_ring) > len(long_ring2): - longest_ring = long_ring - else: - longest_ring = long_ring2 - - assert len(longest_ring) == len(rings[0]) - 1 - def test_sort_cyclic_vertices(self): """Test that sort_cyclic_vertices works properly for a valid input.""" edge = Edge(self.graph.vertices[0], self.graph.vertices[5]) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 639dc9dced1..d3cf19d1386 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2310,7 +2310,7 @@ def test_large_mol_creation(self): def test_get_polycyclic_rings(self): """ Test that polycyclic rings within a molecule are returned properly in the function - `Graph().get_polycycles()` + `Molecule.get_polycycles()` """ # norbornane m1 = Molecule(smiles="C1CC2CCC1C2") @@ -3150,3 +3150,26 @@ def test_get_all_polycyclic_vertices(self): mol = Molecule(smiles="C1CCC2(CC1)CC2") polycyclic_vertices = mol.get_all_polycyclic_vertices() assert len(polycyclic_vertices) > 0 + + def test_get_largest_ring(self): + """ + Test that Molecule.get_largest_ring() method returns the largest ring. + """ + # Create a complex polycyclic molecule + mol = Molecule(smiles="C14CCCCCC(C(CCC12CCCC2)CC3CCC3)C4") + + # Get polycyclic rings + rings = mol.get_polycycles() + assert len(rings) == 1 + + long_ring = mol.get_largest_ring(rings[0][0]) + long_ring2 = mol.get_largest_ring(rings[0][1]) + + # get the longer of the two rings + if len(long_ring) > len(long_ring2): + longest_ring = long_ring + else: + longest_ring = long_ring2 + + # longest ring should be one atom shorter than the full polycyclic ring + assert len(longest_ring) == len(rings[0]) - 1 \ No newline at end of file From 6417c9101585e3b86f49557046db08ca4b1add88 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 14:05:26 -0400 Subject: [PATCH 108/700] add electron check for loading from adj list --- rmgpy/molecule/molecule.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 3ad66e3e1eb..035b64a1657 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1890,7 +1890,10 @@ def from_adjacency_list(self, adjlist, saturate_h=False, raise_atomtype_exceptio self.vertices, self.multiplicity, self.metal, self.facet = from_adjacency_list(adjlist, group=False, saturate_h=saturate_h, check_consistency=check_consistency) self.update_atomtypes(raise_exception=raise_atomtype_exception) - self.identify_ring_membership() + + # identify ring membership iff it's not a suspicious molecule + if not self.is_electron(): + self.identify_ring_membership() # Check if multiplicity is possible n_rad = self.get_radical_count() From c66ebaad3e3e91e17f527ff1e1506aec446b6e02 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 17 Jul 2025 15:45:35 -0400 Subject: [PATCH 109/700] try save order for ring perception --- rmgpy/molecule/molecule.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 035b64a1657..9045d4ed83c 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2820,7 +2820,7 @@ def get_relevant_cycles(self): return [] rc = [] - mol = converter.to_rdkit_mol(self, remove_h=False, sanitize=False) + mol = converter.to_rdkit_mol(self, remove_h=False, sanitize=False, save_order=True) ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: From 104d6486fdc73891667d218c553cf991d882b64a Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 18 Jul 2025 14:17:39 -0400 Subject: [PATCH 110/700] try preserve atom order for ring perception --- rmgpy/molecule/molecule.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 9045d4ed83c..d3b23bd3e44 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2791,7 +2791,7 @@ def get_smallest_set_of_smallest_rings(self): sssr = [] # Get the symmetric SSSR using RDKit - rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize=False) + rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize=False, save_order=True) ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] From 809aeaabdedd0038925c9e4cfec9b60de94abc63 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 18 Jul 2025 14:42:31 -0400 Subject: [PATCH 111/700] only partially sanitize RDKit molecules --- rmgpy/molecule/converter.py | 6 ++++-- rmgpy/molecule/molecule.py | 4 ++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 615ffb74ef0..84f092923cf 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -119,10 +119,12 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o for atom in rdkitmol.GetAtoms(): if atom.GetAtomicNum() > 1: atom.SetNoImplicit(True) - if sanitize: + if sanitize == True: Chem.SanitizeMol(rdkitmol) + elif sanitize == "partial": + Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) if remove_h: - rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize) + rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize == True) if return_mapping: return rdkitmol, rd_atom_indices return rdkitmol diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index d3b23bd3e44..29a31d40eb5 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2791,7 +2791,7 @@ def get_smallest_set_of_smallest_rings(self): sssr = [] # Get the symmetric SSSR using RDKit - rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize=False, save_order=True) + rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] @@ -2820,7 +2820,7 @@ def get_relevant_cycles(self): return [] rc = [] - mol = converter.to_rdkit_mol(self, remove_h=False, sanitize=False, save_order=True) + mol = converter.to_rdkit_mol(self, remove_h=False, sanitize="partial", save_order=True) ring_info = mol.GetRingInfo() atom_rings = ring_info.AtomRings() for ring in atom_rings: From 490c8353b0f8e3641ae06d246ccff2b6c6897e15 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 18 Jul 2025 14:47:00 -0400 Subject: [PATCH 112/700] make test_make_sample_molecule test logic more clear --- test/rmgpy/molecule/atomtypeTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/atomtypeTest.py b/test/rmgpy/molecule/atomtypeTest.py index 0b0b1272cea..ef3221d7514 100644 --- a/test/rmgpy/molecule/atomtypeTest.py +++ b/test/rmgpy/molecule/atomtypeTest.py @@ -165,7 +165,7 @@ def test_make_sample_molecule(self): except: logging.exception(f"Couldn't make sample molecule for atomType {name}") failed.append(name) - assert not failed, f"Couldn't make sample molecules for types {', '.join(failed)}" + assert len(failed) == 0, f"Couldn't make sample molecules for types {', '.join(failed)}" @pytest.mark.skip(reason="WIP") def test_make_sample_molecule_wip(self): From 27b1e417049768d9486a432bfd860b6fd72866ef Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 18 Jul 2025 15:29:06 -0400 Subject: [PATCH 113/700] remove erroneously malformed sanitize arg --- rmgpy/molecule/converter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 84f092923cf..a9162b5263f 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -124,7 +124,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o elif sanitize == "partial": Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) if remove_h: - rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize == True) + rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize) if return_mapping: return rdkitmol, rd_atom_indices return rdkitmol From df5cc7cc3eae1180ec2e4b1719007ee368f937ea Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 18 Jul 2025 15:29:18 -0400 Subject: [PATCH 114/700] Revert "remove some tests that appear backwards-incompatible with new RDKit adjacency list parsing rules" This reverts commit 86e15b655df7d06baf4b82b644cf7e4bcd23e31c. --- test/rmgpy/molecule/atomtypeTest.py | 58 ++++++++++++++--------------- 1 file changed, 29 insertions(+), 29 deletions(-) diff --git a/test/rmgpy/molecule/atomtypeTest.py b/test/rmgpy/molecule/atomtypeTest.py index ef3221d7514..200922b9a4f 100644 --- a/test/rmgpy/molecule/atomtypeTest.py +++ b/test/rmgpy/molecule/atomtypeTest.py @@ -506,15 +506,15 @@ def setup_class(self): 5 H u0 p0 c0 {3,S}""" ) - # self.mol51 = Molecule().from_adjacency_list( - # """1 O u0 p2 c0 {2,S} {7,S} - # 2 S u0 p0 c+1 {1,S} {3,S} {4,S} {5,S} {6,S} - # 3 H u0 p0 c0 {2,S} - # 4 H u0 p0 c0 {2,S} - # 5 H u0 p0 c0 {2,S} - # 6 O u0 p3 c-1 {2,S} - # 7 H u0 p0 c0 {1,S}""" - # ) + self.mol51 = Molecule().from_adjacency_list( + """1 O u0 p2 c0 {2,S} {7,S} + 2 S u0 p0 c+1 {1,S} {3,S} {4,S} {5,S} {6,S} + 3 H u0 p0 c0 {2,S} + 4 H u0 p0 c0 {2,S} + 5 H u0 p0 c0 {2,S} + 6 O u0 p3 c-1 {2,S} + 7 H u0 p0 c0 {1,S}""" + ) self.mol52 = Molecule().from_adjacency_list( """1 C u0 p0 c0 {2,D} {6,S} {8,S} @@ -531,18 +531,18 @@ def setup_class(self): 12 H u0 p0 c0 {4,S}""" ) - # self.mol53 = Molecule().from_adjacency_list( - # """1 N u0 p0 c-1 {2,D} {3,D} {4,D} - # 2 C u0 p0 c0 {1,D} {5,S} {6,S} - # 3 C u0 p0 c0 {1,D} {7,S} {8,S} - # 4 N u0 p0 c+1 {1,D} {9,S} {10,S} - # 5 H u0 p0 c0 {2,S} - # 6 H u0 p0 c0 {2,S} - # 7 H u0 p0 c0 {3,S} - # 8 H u0 p0 c0 {3,S} - # 9 H u0 p0 c0 {4,S} - # 10 H u0 p0 c0 {4,S}""" - # ) + self.mol53 = Molecule().from_adjacency_list( + """1 N u0 p0 c-1 {2,D} {3,D} {4,D} + 2 C u0 p0 c0 {1,D} {5,S} {6,S} + 3 C u0 p0 c0 {1,D} {7,S} {8,S} + 4 N u0 p0 c+1 {1,D} {9,S} {10,S} + 5 H u0 p0 c0 {2,S} + 6 H u0 p0 c0 {2,S} + 7 H u0 p0 c0 {3,S} + 8 H u0 p0 c0 {3,S} + 9 H u0 p0 c0 {4,S} + 10 H u0 p0 c0 {4,S}""" + ) self.mol54 = Molecule().from_adjacency_list( """1 C u0 p0 c+1 {2,S} {3,D} @@ -622,11 +622,11 @@ def setup_class(self): 3 H u0 p0 c0 {1,S}""" ) - # self.mol70 = Molecule().from_adjacency_list( - # """1 S u0 p0 c+1 {2,D} {3,T} - # 2 N u0 p2 c-1 {1,D} - # 3 N u0 p1 c0 {1,T}""" - # ) + self.mol70 = Molecule().from_adjacency_list( + """1 S u0 p0 c+1 {2,D} {3,T} + 2 N u0 p2 c-1 {1,D} + 3 N u0 p1 c0 {1,T}""" + ) # self.mol71 = Molecule().from_adjacency_list('''1 O u0 p1 c0 {2,B} {5,B} # 2 C u0 p0 c0 {1,B} {3,B} {6,S} @@ -885,7 +885,7 @@ def test_nitrogen_types(self): assert self.atom_type(self.mol18, 5) == "N3b" assert self.atom_type(self.mol5, 2) == "N5dc" assert self.atom_type(self.mol64, 1) == "N5ddc" -# assert self.atom_type(self.mol53, 0) == "N5dddc" + assert self.atom_type(self.mol53, 0) == "N5dddc" assert self.atom_type(self.mol15, 1) == "N5tc" assert self.atom_type(self.mol39, 2) == "N5tc" assert self.atom_type(self.mol18, 0) == "N5b" @@ -959,7 +959,7 @@ def test_sulfur_types(self): assert self.atom_type(self.mol28, 4) == "S4t" assert self.atom_type(self.mol29, 1) == "S4tdc" assert self.atom_type(self.mol28, 5) == "S6s" -# assert self.atom_type(self.mol51, 1) == "S6sc" + assert self.atom_type(self.mol51, 1) == "S6sc" assert self.atom_type(self.mol30, 0) == "S6d" assert self.atom_type(self.mol32, 1) == "S6dd" assert self.atom_type(self.mol34, 1) == "S6ddd" @@ -969,7 +969,7 @@ def test_sulfur_types(self): assert self.atom_type(self.mol35, 0) == "S6t" assert self.atom_type(self.mol36, 0) == "S6td" assert self.atom_type(self.mol37, 1) == "S6tt" -# assert self.atom_type(self.mol70, 0) == "S6tdc" + assert self.atom_type(self.mol70, 0) == "S6tdc" def test_chlorine_types(self): """ From 76722b80c3c364659d79051c4adda89c2e49b525 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 22 Jul 2025 12:24:43 -0400 Subject: [PATCH 115/700] add support for RDKit fragment atom w/ dummy molecule --- rmgpy/molecule/converter.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index a9162b5263f..3cd82a7a1a3 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -70,7 +70,9 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o for index, atom in enumerate(mol.vertices): if atom.element.symbol == 'X': rd_atom = Chem.rdchem.Atom('Pt') # not sure how to do this with linear scaling when this might not be Pt - else: + elif atom.element.symbol in ['R', 'L']: + rd_atom = Chem.rdchem.Atom(0) + else: rd_atom = Chem.rdchem.Atom(atom.element.symbol) if atom.element.isotope != -1: rd_atom.SetIsotope(atom.element.isotope) From ab85f0abab9710420a5c7356321acfdf46c3bbb2 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 22 Jul 2025 12:35:01 -0400 Subject: [PATCH 116/700] fix pesky type error in rdkit mol creation due to type cython coercion --- rmgpy/molecule/converter.pxd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/converter.pxd b/rmgpy/molecule/converter.pxd index 25752cfd2d3..24258a81f4e 100644 --- a/rmgpy/molecule/converter.pxd +++ b/rmgpy/molecule/converter.pxd @@ -29,7 +29,7 @@ cimport rmgpy.molecule.molecule as mm cimport rmgpy.molecule.element as elements -cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, bint sanitize=*, bint save_order=?) +cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, object sanitize=*, bint save_order=?) cpdef mm.Molecule from_rdkit_mol(mm.Molecule mol, object rdkitmol, bint raise_atomtype_exception=?) From a7742a611949369c1957e642178b56dba807227e Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 23 Jul 2025 14:43:27 -0400 Subject: [PATCH 117/700] update test_get_largest_ring --- test/rmgpy/molecule/moleculeTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index d3cf19d1386..fd0ab17b4d9 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3156,7 +3156,7 @@ def test_get_largest_ring(self): Test that Molecule.get_largest_ring() method returns the largest ring. """ # Create a complex polycyclic molecule - mol = Molecule(smiles="C14CCCCCC(C(CCC12CCCC2)CC3CCC3)C4") + mol = Molecule(smiles="C14CCCCCC(C(CCC1CC2CCCCCCC2)CC3CCC3)C4") # Get polycyclic rings rings = mol.get_polycycles() From 1ba673d33ca813cf500328d7252e1d3a1e3fc215 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 23 Jul 2025 15:09:50 -0400 Subject: [PATCH 118/700] fix error in test_Get_all_polycyclic_vertices --- test/rmgpy/molecule/moleculeTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index fd0ab17b4d9..d41bd099939 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3141,7 +3141,7 @@ def test_get_all_polycyclic_vertices(self): # Fused bicyclic molecule # TODO: don't just test length, test the actual vertices - fused = Molecule(smiles="C1C2C(CCC1)CCCC2") + mol = Molecule(smiles="C1C2C(CCC1)CCCC2") polycyclic_vertices = mol.get_all_polycyclic_vertices() assert len(polycyclic_vertices) > 0 From d68e161be8aee519016cb605520cb6398c482987 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 23 Jul 2025 16:11:16 -0400 Subject: [PATCH 119/700] make rdkit parsing more lenient with weird bond orders --- rmgpy/molecule/adjlist.py | 2 +- rmgpy/molecule/converter.py | 8 ++++++-- rmgpy/molecule/molecule.py | 5 +++-- 3 files changed, 10 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/adjlist.py b/rmgpy/molecule/adjlist.py index 852d7bc9d0a..8e654d03348 100644 --- a/rmgpy/molecule/adjlist.py +++ b/rmgpy/molecule/adjlist.py @@ -1093,7 +1093,7 @@ def to_adjacency_list(atoms, multiplicity, metal='', facet='', label=None, group # numbers if doesn't work try: adjlist += bond.get_order_str() - except ValueError: + except (ValueError, TypeError): adjlist += str(bond.get_order_num()) adjlist += '}' diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 3cd82a7a1a3..d2027baf559 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -98,8 +98,9 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o else: label_dict[label] = [saved_index] rd_bonds = Chem.rdchem.BondType + # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, - 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO} # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK + 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.OTHER} # Add the bonds for atom1 in mol.vertices: for atom2, bond in atom1.edges.items(): @@ -109,7 +110,10 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o index2 = atoms.index(atom2) if index1 < index2: order_string = bond.get_order_str() - order = orders[order_string] + if order_string is None and 1.0 < bond.get_order_num() < 2.0: + order = rd_bonds.UNSPECIFIED + else: + order = orders[order_string] rdkitmol.AddBond(index1, index2, order) # Make editable mol into a mol and rectify the molecule diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 29a31d40eb5..0fd161bf378 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -768,7 +768,7 @@ def is_specific_case_of(self, other): def get_order_str(self): """ - returns a string representing the bond order + Returns a string representing the bond order. Returns None if bond order does not have a string representation. """ if self.is_single(): return 'S' @@ -787,7 +787,8 @@ def get_order_str(self): elif self.is_reaction_bond(): return 'R' else: - raise ValueError("Bond order {} does not have string representation.".format(self.order)) + logging.warning("Bond order {} does not have string representation.".format(self.order)) + return None def set_order_str(self, new_order): """ From c8f093318948f39abb942a02df0c872bb459c434 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 24 Jul 2025 13:52:49 -0400 Subject: [PATCH 120/700] Modify sanitization to accommodate kekulization Some RMG molecule representations are not representable in RDKit. This commit makes it so that if the kekulization step fails during sanitization, then RDKit will try to sanitize with less stringent sanitization criteria. This was necessary because some species from adjacency lists would pop up and crash out due to failed sanitization. --- rmgpy/molecule/converter.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index d2027baf559..ce01a777bb9 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -38,6 +38,7 @@ import cython # Assume that rdkit is installed from rdkit import Chem +from rdkit.Chem.rdchem import KekulizeException, AtomKekulizeException # Test if openbabel is installed try: from openbabel import openbabel @@ -100,7 +101,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o rd_bonds = Chem.rdchem.BondType # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, - 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.OTHER} + 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.UNSPECIFIED} # Add the bonds for atom1 in mol.vertices: for atom2, bond in atom1.edges.items(): @@ -110,7 +111,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o index2 = atoms.index(atom2) if index1 < index2: order_string = bond.get_order_str() - if order_string is None and 1.0 < bond.get_order_num() < 2.0: + if order_string is None: order = rd_bonds.UNSPECIFIED else: order = orders[order_string] @@ -128,7 +129,11 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o if sanitize == True: Chem.SanitizeMol(rdkitmol) elif sanitize == "partial": - Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) + try: + Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) + except (KekulizeException, AtomKekulizeException): + logging.warning("Kekulization failed; sanitizing without Kekulize") + Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES ^ Chem.SANITIZE_KEKULIZE) if remove_h: rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize) if return_mapping: From d647eca302a16e29b6883b49aaba6862c6471c23 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 24 Jul 2025 15:07:54 -0400 Subject: [PATCH 121/700] update scipy simps to sipmson simps was deprecated in scipy 1.6 in favor of simpson. This updates the function call so that it doesn't break workflows. --- rmgpy/statmech/ndTorsions.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/statmech/ndTorsions.py b/rmgpy/statmech/ndTorsions.py index 7ee4e31135e..c71675a18be 100644 --- a/rmgpy/statmech/ndTorsions.py +++ b/rmgpy/statmech/ndTorsions.py @@ -35,8 +35,9 @@ import numdifftools as nd import numpy as np -from scipy import integrate as inte from scipy import interpolate +from scipy.integrate import simpson + from sklearn import linear_model from sklearn.preprocessing import PolynomialFeatures @@ -614,7 +615,7 @@ def f(*phis): Imat[coords] = f(*rphis[np.array(coords)]) for i in range(len(self.pivots)): - Imat = inte.simps(Imat, rphis) + Imat = simpson(Imat, rphis) intg = Imat From 3f43da14e7bd883eca9cd44b57ce8717ec78085d Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 24 Jul 2025 15:10:01 -0400 Subject: [PATCH 122/700] remove python3.12 from CI for now 3.12 needs cantera update, which is not yet ready. --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 7b7711d128c..fefc4304221 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -65,7 +65,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.9", "3.10", "3.11", "3.12"] + python-version: ["3.9", "3.10", "3.11"] os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] exclude: From 7576b5e5902d4a8374662731ed5400c51f2d2659 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 24 Jul 2025 15:14:43 -0400 Subject: [PATCH 123/700] make QM molecule partial sanitized with RDKit This aligns the RDKit conversion process. A relaxed sanitization process is required to avoid kekulization/sanitization/valence issues which would prevent a molecule from being created. Especially relevant in the context of `draw`, which has an RDKit backend that calls this function. We don't want it to fail drawing simple because it doesn't follow the sanitization rules. --- rmgpy/qm/molecule.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/qm/molecule.py b/rmgpy/qm/molecule.py index 45cf457b672..3c6009601ac 100644 --- a/rmgpy/qm/molecule.py +++ b/rmgpy/qm/molecule.py @@ -147,7 +147,7 @@ def rd_build(self): """ Import rmg molecule and create rdkit molecule with the same atom labeling. """ - return self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True) + return self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True, sanitize="partial") def rd_embed(self, rdmol, num_conf_attempts): """ From 24bbbf4253a4aecb3a937b7d411f6305324c67b8 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 24 Jul 2025 15:50:55 -0400 Subject: [PATCH 124/700] update setup.py to also exclude python 3.12 --- setup.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/setup.py b/setup.py index ec419f0045f..ff7c0770add 100644 --- a/setup.py +++ b/setup.py @@ -146,7 +146,8 @@ author='William H. Green and the RMG Team', author_email='rmg_dev@mit.edu', url='http://reactionmechanismgenerator.github.io', - python_requires='>=3.9,<3.13', + python_requires='>=3.9,<3.12', + packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]), scripts=scripts, entry_points={ From d84a1ba336d9f909720e76b4f178c84d2a836885 Mon Sep 17 00:00:00 2001 From: Kirk Badger Date: Thu, 24 Jul 2025 12:01:08 -0400 Subject: [PATCH 125/700] added a test for drawing bidentates with charge separation --- test/rmgpy/molecule/drawTest.py | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/drawTest.py b/test/rmgpy/molecule/drawTest.py index 6c416f171d8..5cc69b86909 100644 --- a/test/rmgpy/molecule/drawTest.py +++ b/test/rmgpy/molecule/drawTest.py @@ -297,4 +297,21 @@ def test_draw_bidentate_adsorbate(self): surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(molecule, file_format="png", target=path) assert os.path.exists(path), "File doesn't exist" os.unlink(path) - assert isinstance(surface, ImageSurface) \ No newline at end of file + assert isinstance(surface, ImageSurface) + + def test_draw_bidentate_with_charge_separation(self): + molecule = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 O u0 p2 c0 {1,S} {4,S} +4 N u0 p0 c+1 {3,S} {2,D} {5,S} +5 O u0 p3 c-1 {4,S} + """ + ) + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf") + assert isinstance(surface, PDFSurface) From a204dc599cda2bcbc0c52b4ef1a9bd21f84fd9f5 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 25 Jul 2025 10:47:40 -0400 Subject: [PATCH 126/700] Make rdkit default for draw coordinate generation In #2744 and #2796 it was found that charge-separated bidentate species can have issues due to ring perception conflicts. The previous implementation also by default did not use the rdkit backend for charged species, but this was decided many years ago (~10 years!) In the meantime, RDKit conformer generation has improved and likely this we can just use RDKit by default, which would avoid the pesky edge-case issues for ions/zwitterions. In case the old behavior is desired, use_rdkit can be set to False. --- rmgpy/molecule/draw.py | 74 ++++++++++++++++++++---------------------- 1 file changed, 35 insertions(+), 39 deletions(-) diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index ad6f0e60701..89aa83d6f2e 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -155,7 +155,7 @@ def clear(self): self.surface = None self.cr = None - def draw(self, molecule, file_format, target=None): + def draw(self, molecule, file_format, target=None, use_rdkit=True): """ Draw the given `molecule` using the given image `file_format` - pdf, svg, ps, or png. If `path` is given, the drawing is saved to that location on disk. The @@ -165,6 +165,9 @@ def draw(self, molecule, file_format, target=None): This function returns the Cairo surface and context used to create the drawing, as well as a bounding box for the molecule being drawn as the tuple (`left`, `top`, `width`, `height`). + + If `use_rdkit` is True, then the RDKit 2D coordinate generation is used to generate the coordinates. + If `use_rdkit` is False, then the molecule is drawn using our (deprecated) original algorithm. """ # The Cairo 2D graphics library (and its Python wrapper) is required for @@ -219,13 +222,13 @@ def draw(self, molecule, file_format, target=None): if molecule.contains_surface_site(): try: self._connect_surface_sites() - self._generate_coordinates() + self._generate_coordinates(use_rdkit=use_rdkit) self._disconnect_surface_sites() except AdsorbateDrawingError as e: self._disconnect_surface_sites() - self._generate_coordinates(fix_surface_sites=False) + self._generate_coordinates(fix_surface_sites=False, use_rdkit=use_rdkit) else: - self._generate_coordinates() + self._generate_coordinates(use_rdkit=use_rdkit) self._replace_bonds(old_bond_dictionary) # Generate labels to use @@ -341,7 +344,7 @@ def _find_ring_groups(self): if not found: self.ringSystems.append([cycle]) - def _generate_coordinates(self, fix_surface_sites=True): + def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True): """ Generate the 2D coordinates to be used when drawing the current molecule. The function uses rdKits 2D coordinate generation. @@ -372,15 +375,34 @@ def _generate_coordinates(self, fix_surface_sites=True): self.coordinates[1, :] = [0.5, 0.0] return self.coordinates - # Decide whether we can use RDKit or have to generate coordinates ourselves - for atom in self.molecule.atoms: - if atom.charge != 0: - use_rdkit = False - break - else: # didn't break - use_rdkit = True + if use_rdkit == True: + # Use RDKit 2D coordinate generation: + + # Generate the RDkit molecule from the RDkit molecule, use geometry + # in order to match the atoms in the rdmol with the atoms in the + # RMG molecule (which is required to extract coordinates). + self.geometry = Geometry(None, None, self.molecule, None) + + rdmol, rd_atom_idx = self.geometry.rd_build() + AllChem.Compute2DCoords(rdmol) + + # Extract the coordinates from each atom. + for atom in atoms: + index = rd_atom_idx[atom] + point = rdmol.GetConformer(0).GetAtomPosition(index) + coordinates[index, :] = [point.x * 0.6, point.y * 0.6] + + # RDKit generates some molecules more vertically than horizontally, + # Especially linear ones. This will reflect any molecule taller than + # it is wide across the line y=x + ranges = np.ptp(coordinates, axis=0) + if ranges[1] > ranges[0]: + temp = np.copy(coordinates) + coordinates[:, 0] = temp[:, 1] + coordinates[:, 1] = temp[:, 0] - if not use_rdkit: + else: + logging.warning("Using deprecated molecule drawing algorithm; undesired behavior may occur. Consider using use_rdkit=True.") if len(self.cycles) > 0: # Cyclic molecule backbone = self._find_cyclic_backbone() @@ -438,32 +460,6 @@ def _generate_coordinates(self, fix_surface_sites=True): # minimize likelihood of overlap self._generate_neighbor_coordinates(backbone) - else: - # Use RDKit 2D coordinate generation: - - # Generate the RDkit molecule from the RDkit molecule, use geometry - # in order to match the atoms in the rdmol with the atoms in the - # RMG molecule (which is required to extract coordinates). - self.geometry = Geometry(None, None, self.molecule, None) - - rdmol, rd_atom_idx = self.geometry.rd_build() - AllChem.Compute2DCoords(rdmol) - - # Extract the coordinates from each atom. - for atom in atoms: - index = rd_atom_idx[atom] - point = rdmol.GetConformer(0).GetAtomPosition(index) - coordinates[index, :] = [point.x * 0.6, point.y * 0.6] - - # RDKit generates some molecules more vertically than horizontally, - # Especially linear ones. This will reflect any molecule taller than - # it is wide across the line y=x - ranges = np.ptp(coordinates, axis=0) - if ranges[1] > ranges[0]: - temp = np.copy(coordinates) - coordinates[:, 0] = temp[:, 1] - coordinates[:, 1] = temp[:, 0] - # For surface species if fix_surface_sites and self.molecule.contains_surface_site(): if len(self.molecule.atoms) == 1: From 571e5e673840052e265ce25a0811ddfaa2f75803 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Fri, 25 Jul 2025 11:16:43 -0400 Subject: [PATCH 127/700] add ion test cases to drawTest Accompanies changes to `draw.py` to use `rdkit` backend, which traditionally was not well-supported for ions (but now might be a better option than the default drawing algorithm). --- test/rmgpy/molecule/drawTest.py | 81 +++++++++++++++++++++++++++++++++ 1 file changed, 81 insertions(+) diff --git a/test/rmgpy/molecule/drawTest.py b/test/rmgpy/molecule/drawTest.py index 5cc69b86909..dec288ab79a 100644 --- a/test/rmgpy/molecule/drawTest.py +++ b/test/rmgpy/molecule/drawTest.py @@ -315,3 +315,84 @@ def test_draw_bidentate_with_charge_separation(self): from cairo import PDFSurface surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf") assert isinstance(surface, PDFSurface) + + def test_draw_cation(self): + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + path = "test_molecule.pdf" + if os.path.exists(path): + os.unlink(path) + polycycle = Molecule(smiles="C1=NC2=C(N1)C(=O)[NH2+]C(=N2)N") + surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path) + assert isinstance(surface, PDFSurface) + assert width > height + os.unlink(path) + + def test_draw_anion(self): + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + path = "test_molecule.pdf" + if os.path.exists(path): + os.unlink(path) + polycycle = Molecule(smiles="c1ccc2c3ccccc3[CH-]c2c1") + surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path) + assert isinstance(surface, PDFSurface) + assert width > height + os.unlink(path) + + def test_draw_zwitterion(self): + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + path = "test_molecule.pdf" + if os.path.exists(path): + os.unlink(path) + polycycle = Molecule(smiles="[NH3+]CC(=O)[O-]") + surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path) + assert isinstance(surface, PDFSurface) + assert width > height + os.unlink(path) + + def test_draw_cation_on_surface(self): + molecule = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,S} +2 X u0 p0 c0 {3,S} +3 O u0 p1 c+1 {1,S} {2,S} {4,S} +4 H u0 p0 c0 {3,S} + """ + ) + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + path = "test_molecule.pdf" + if os.path.exists(path): + os.unlink(path) + surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf", target=path) + assert isinstance(surface, PDFSurface) + os.unlink(path) + + + def test_draw_anion_on_surface(self): + molecule = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {2,S} +2 O u0 p3 c-1 {1,S} + """ + ) + try: + from cairocffi import PDFSurface + except ImportError: + from cairo import PDFSurface + path = "test_molecule.pdf" + if os.path.exists(path): + os.unlink(path) + surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf", target=path) + assert isinstance(surface, PDFSurface) + os.unlink(path) From 7d3328863253d682918d982aeec140375c8e4777 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Sun, 3 Aug 2025 21:55:12 -0400 Subject: [PATCH 128/700] remove pyrdl from conda recipe as well --- .conda/meta.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index 20466c88d3b..bb0cf0be930 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -64,7 +64,6 @@ requirements: - conda-forge::gprof2dot - conda-forge::numdifftools - conda-forge::quantities !=0.16.0,!=0.16.1 - - conda-forge::ringdecomposerlib-python - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry @@ -114,7 +113,6 @@ requirements: - conda-forge::gprof2dot - conda-forge::numdifftools - conda-forge::quantities !=0.16.0,!=0.16.1 - - conda-forge::ringdecomposerlib-python - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry @@ -165,7 +163,6 @@ test: - conda-forge::gprof2dot - conda-forge::numdifftools - conda-forge::quantities !=0.16.0,!=0.16.1 - - conda-forge::ringdecomposerlib-python - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry From 90fdc114ab0e0e74247ede5b25e6bc863e87522b Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Sun, 3 Aug 2025 21:56:37 -0400 Subject: [PATCH 129/700] add more python versions to conda build --- .github/workflows/conda_build.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 1cbbdcb31d5..6fa7de23a1c 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -17,7 +17,7 @@ jobs: matrix: os: [ubuntu-latest, macos-15-intel, macos-latest] numpy-version: ["1.26"] - python-version: ["3.9"] + python-version: ["3.9", "3.10", "3.11"] runs-on: ${{ matrix.os }} name: Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }} defaults: From c2034f7ab72aaec0bb78c1aad987e7f678166a95 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 4 Aug 2025 11:32:42 -0400 Subject: [PATCH 130/700] Make fragment code compatible with RDKit changes The molecule to_rdkit_mol now allows for and calls sanitize. The fragment code previously had hardcoded args. This commit just makes the args flexible so that they get passed directly to `converter` regardless of what the arguments are. --- rmgpy/molecule/fragment.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 125fbb399f0..f471d412c9c 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -490,11 +490,13 @@ def get_formula(self): return formula - def to_rdkit_mol(self, remove_h=False, return_mapping=True, save_order=False): + def to_rdkit_mol(self, *args, **kwargs): """ Convert a molecular structure to a RDKit rdmol object. """ - if remove_h: + remove_h = kwargs.get('remove_h', False) + + if remove_h == True: # because we're replacing # cutting labels with hydrogens # so do not allow removeHs to be True @@ -504,10 +506,8 @@ def to_rdkit_mol(self, remove_h=False, return_mapping=True, save_order=False): rdmol, rdAtomIdx_mol0 = converter.to_rdkit_mol( mol0, - remove_h=remove_h, - return_mapping=return_mapping, - sanitize=True, - save_order=save_order, + *args, + **kwargs ) rdAtomIdx_frag = {} From 5809861b158f3ab2b2621c973d16cdba316eba29 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 4 Aug 2025 12:45:46 -0400 Subject: [PATCH 131/700] Fix fragment error due to non-default return type After changing to_rdkit_mol to kwargs format in Fragment, some of the existing code that relied on the previous function defaults broke. Namely, return_mapping must be True. --- rmgpy/molecule/fragment.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index f471d412c9c..0e41322f036 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -911,7 +911,7 @@ def sliceitup_arom(self, molecule, size_threshold=None): _, cutting_label_list = self.detect_cutting_label(molecule_smiles) # transfer to rdkit molecule for substruct matching f = self.from_smiles_like_string(molecule_smiles) - molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol() + molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(return_mapping=True) # replace CuttingLabel to special Atom (metal) in rdkit for atom, idx in rdAtomIdx_frag.items(): @@ -1037,7 +1037,7 @@ def sliceitup_aliph(self, molecule, size_threshold=None): _, cutting_label_list = self.detect_cutting_label(molecule_smiles) # transfer to rdkit molecule for substruct matching f = self.from_smiles_like_string(molecule_smiles) - molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol() + molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(return_mapping=True) # replace CuttingLabel to special Atom (metal) in rdkit for atom, idx in rdAtomIdx_frag.items(): From 7b917a6f1f127bf9f67ff3ed4396383a6df774a6 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 4 Aug 2025 13:59:44 -0400 Subject: [PATCH 132/700] add missing remove_h=False required flag to fragment to_rdkit_mol calls --- rmgpy/molecule/fragment.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 0e41322f036..9ee58641b52 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -911,7 +911,7 @@ def sliceitup_arom(self, molecule, size_threshold=None): _, cutting_label_list = self.detect_cutting_label(molecule_smiles) # transfer to rdkit molecule for substruct matching f = self.from_smiles_like_string(molecule_smiles) - molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(return_mapping=True) + molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(remove_h=False, return_mapping=True) # replace CuttingLabel to special Atom (metal) in rdkit for atom, idx in rdAtomIdx_frag.items(): @@ -1037,7 +1037,7 @@ def sliceitup_aliph(self, molecule, size_threshold=None): _, cutting_label_list = self.detect_cutting_label(molecule_smiles) # transfer to rdkit molecule for substruct matching f = self.from_smiles_like_string(molecule_smiles) - molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(return_mapping=True) + molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(remove_h=False, return_mapping=True) # replace CuttingLabel to special Atom (metal) in rdkit for atom, idx in rdAtomIdx_frag.items(): From 09e042f381911ddd6965ec31e7d4b181f6aea5b4 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 4 Aug 2025 15:34:42 -0400 Subject: [PATCH 133/700] fix test_to_rdkit_mol because default args were changed --- test/rmgpy/molecule/fragmentTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/fragmentTest.py b/test/rmgpy/molecule/fragmentTest.py index 1975b442f6f..5f59efd6a39 100644 --- a/test/rmgpy/molecule/fragmentTest.py +++ b/test/rmgpy/molecule/fragmentTest.py @@ -747,7 +747,7 @@ def test_get_representative_molecule(self): def test_to_rdkit_mol(self): fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("CCR") - rdmol, _ = fragment.to_rdkit_mol() + rdmol, _ = fragment.to_rdkit_mol(remove_h=False, return_mapping=True) assert rdmol.GetNumAtoms() == 8 From 9edebde7138b59c4a2a39d3b6aea08e574adcbb0 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Tue, 5 Aug 2025 10:10:49 -0400 Subject: [PATCH 134/700] update test expectted return type --- test/rmgpy/molecule/fragmentTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/fragmentTest.py b/test/rmgpy/molecule/fragmentTest.py index 5f59efd6a39..99cb5b532e7 100644 --- a/test/rmgpy/molecule/fragmentTest.py +++ b/test/rmgpy/molecule/fragmentTest.py @@ -747,7 +747,7 @@ def test_get_representative_molecule(self): def test_to_rdkit_mol(self): fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("CCR") - rdmol, _ = fragment.to_rdkit_mol(remove_h=False, return_mapping=True) + rdmol = fragment.to_rdkit_mol(remove_h=False, return_mapping=True) assert rdmol.GetNumAtoms() == 8 From 1b32a56fce979555075ddf812d8129581739f4c3 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 5 Aug 2025 10:47:39 -0400 Subject: [PATCH 135/700] Revert "update test expectted return type" This reverts commit 7ac5fd48456ffe302cba8e245cdb5eb1fbced8e9. --- test/rmgpy/molecule/fragmentTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/fragmentTest.py b/test/rmgpy/molecule/fragmentTest.py index 99cb5b532e7..5f59efd6a39 100644 --- a/test/rmgpy/molecule/fragmentTest.py +++ b/test/rmgpy/molecule/fragmentTest.py @@ -747,7 +747,7 @@ def test_get_representative_molecule(self): def test_to_rdkit_mol(self): fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("CCR") - rdmol = fragment.to_rdkit_mol(remove_h=False, return_mapping=True) + rdmol, _ = fragment.to_rdkit_mol(remove_h=False, return_mapping=True) assert rdmol.GetNumAtoms() == 8 From d5ff9f155260d6ae3e3046d9550930720f4e4f59 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 5 Aug 2025 10:50:06 -0400 Subject: [PATCH 136/700] set default --- rmgpy/molecule/fragment.py | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 9ee58641b52..f34b8deec22 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -504,6 +504,7 @@ def to_rdkit_mol(self, *args, **kwargs): mol0, mapping = self.get_representative_molecule("minimal", update=False) + kwargs["return_mapping"] = True rdmol, rdAtomIdx_mol0 = converter.to_rdkit_mol( mol0, *args, From 167eb15abbe43068621cca5f2ac868471b4593fa Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 5 Aug 2025 15:58:17 -0400 Subject: [PATCH 137/700] Double-check SSSR to_rdkit_mol for fragment compat Fragments will sometimes call `get_smallest_set_of_smallest_rings` (e.g. for drawing), which will then call the _fragment_ version of `to_rdkit_mol` (rather than Molecule, since Fragment inherits from Molecule), which returns a _tuple_ rather than a _mol_. This causes a crash. I considerd just replacing this with `converter.to_rdkit_mol` without the checks, but then you'd lose out on any fragment-related benefits from to_rdkit_mol (for example, you need to replace the fragments with H atoms). This commit also adds a check so that the user is at least aware that the default behavior is to change the kwarg to forcibly return mapping=True for fragments. --- rmgpy/molecule/fragment.py | 7 ++++++- rmgpy/molecule/molecule.py | 8 +++++++- 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index f34b8deec22..6d1b40fe6a1 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -504,7 +504,12 @@ def to_rdkit_mol(self, *args, **kwargs): mol0, mapping = self.get_representative_molecule("minimal", update=False) - kwargs["return_mapping"] = True + return_mapping = kwargs.get("return_mapping", False) + if return_mapping == False: + kwargs["return_mapping"] = True + logging.warning("Fragment to_rdkit_mol expects to return a tuple. " + "Setting return_mapping = True; please double-check your code to ensure this is what you want.") + rdmol, rdAtomIdx_mol0 = converter.to_rdkit_mol( mol0, *args, diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 0fd161bf378..afaff38f516 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2792,7 +2792,13 @@ def get_smallest_set_of_smallest_rings(self): sssr = [] # Get the symmetric SSSR using RDKit - rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) + rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) + + if isinstance(rdkit_result, tuple): # can be a tuple if Fragment version of to_rdkit_mol is used + rdkit_mol = rdkit_result[0] + else: + rdkit_mol = rdkit_result + ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] From 52034b2946de730ad3603270f52bd544999bc2b1 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 26 Aug 2025 10:06:06 -0400 Subject: [PATCH 138/700] Change debug level of RDKit-related warnings Some compounds with resonance form resonance hybrids, which create non-integer bond orders that then call ring perception (via get_symmetry_number). Because non-integer bond orders are not recognized, we handle them as `unspecified`. Alternatively, the kekulization rules for RMG may sometimes differ from those of RDKit, which also logged a warning. For ring perception, these 'warnings' do not impact performance, and for nearly all users should not raise any concerns. So this demotes the logging level from `warning` to `debug` --- rmgpy/molecule/converter.py | 2 +- rmgpy/molecule/molecule.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index ce01a777bb9..a2e792a0a48 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -132,7 +132,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o try: Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) except (KekulizeException, AtomKekulizeException): - logging.warning("Kekulization failed; sanitizing without Kekulize") + logging.debug("Kekulization failed; sanitizing without Kekulize") Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES ^ Chem.SANITIZE_KEKULIZE) if remove_h: rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index afaff38f516..fa295a5183a 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -787,7 +787,7 @@ def get_order_str(self): elif self.is_reaction_bond(): return 'R' else: - logging.warning("Bond order {} does not have string representation.".format(self.order)) + logging.debug("Bond order {} does not have string representation; treating as unspecified.".format(self.order)) return None def set_order_str(self, new_order): From b820108a0ede31292b6a7e9c98a12cf9aec315cb Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Oct 2025 12:28:24 -0400 Subject: [PATCH 139/700] Fix ring unit test that was testing nothing. Because atom.element is an Element object and not a string like "C", both the `if atom.element = "X"` statements returned False and we were testing nothing. --- test/rmgpy/molecule/moleculeTest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index d41bd099939..68bf6fe5d5d 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2980,9 +2980,9 @@ def test_ring_perception(self): mol = Molecule(smiles="c12ccccc1cccc2") mol.identify_ring_membership() for atom in mol.atoms: - if atom.element == "C": + if atom.is_carbon(): assert atom.props["inRing"] - elif atom.element == "H": + elif atom.is_hydrogen(): assert not atom.props["inRing"] def test_enumerate_bonds(self): From fcafc3a231f9b0cc794c5c4bec8464e18848faab Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Oct 2025 12:32:20 -0400 Subject: [PATCH 140/700] Add a unit test for identify_ring_membership for a big ring. It fails. (The current algorithm only looks at rings smaller than or equal to 7 atoms.) --- test/rmgpy/molecule/moleculeTest.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 68bf6fe5d5d..bcfc16ea98a 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2984,6 +2984,13 @@ def test_ring_perception(self): assert atom.props["inRing"] elif atom.is_hydrogen(): assert not atom.props["inRing"] + mol = Molecule(smiles="C1CCCCCCCCCCC1") + mol.identify_ring_membership() + for atom in mol.atoms: + if atom.is_carbon(): + assert atom.props["inRing"] + elif atom.is_hydrogen(): + assert not atom.props["inRing"] def test_enumerate_bonds(self): """Test that generating a count of bond labels works properly.""" From f0791e4d607f09dcd14eb7510f0c3f23bc5bee8a Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Oct 2025 23:46:37 -0400 Subject: [PATCH 141/700] Rewrite identfy_ring_membership() to use FastFindRings The "get_relevant_cycles" function does more work than needed, and currently only returns rings of 7 or fewer atoms. This replacement algorithm should be faster. The FastFindRings algorithm in RDKit is a fast depth-first search to just find if atoms are in rings (of a certain size). The blog post at https://rdkit.blogspot.com/2016/09/avoiding-unnecessary-work-and.html suggests this should be faster than a full "sanitize". The to_rdkit_mol might have scope for further optimization (eg. we don't care about bond orders, etc. etc.) --- rmgpy/molecule/molecule.py | 26 +++++++++++++++----------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index fa295a5183a..6c8346ebadb 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2509,18 +2509,22 @@ def to_group(self): def identify_ring_membership(self): """ Performs ring perception and saves ring membership information to the Atom.props attribute. - """ - cython.declare(rc=list, atom=Atom, ring=list) - # Get the set of relevant cycles - rc = self.get_relevant_cycles() - # Identify whether each atom is in a ring - for atom in self.atoms: - atom.props['inRing'] = False - for ring in rc: - if atom in ring: - atom.props['inRing'] = True - break + Uses the RDKit FastFindRings algorithm. + """ + from rdkit.Chem.rdmolops import FastFindRings + cython.declare(rd_atom_indices=dict, i=int, atom=Atom) + rdmol, rd_atom_indices = converter.to_rdkit_mol(self, + remove_h=False, + return_mapping=True, + sanitize=False, + save_order=True) + # https://rdkit.blogspot.com/2016/09/avoiding-unnecessary-work-and.html + # suggests avoid sanitization and just call FastFindRings + FastFindRings(rdmol) + for atom, i in rd_atom_indices.items(): + atom.props['inRing'] = rdmol.GetAtomWithIdx(i).IsInRing() + def count_aromatic_rings(self): """ From 28cc1a6fe0d8561af519041af6f21ab535ba3dc5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Oct 2025 23:50:48 -0400 Subject: [PATCH 142/700] More extensive testing for test_ring_perception --- test/rmgpy/molecule/moleculeTest.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index bcfc16ea98a..8c1b619c390 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2984,13 +2984,19 @@ def test_ring_perception(self): assert atom.props["inRing"] elif atom.is_hydrogen(): assert not atom.props["inRing"] - mol = Molecule(smiles="C1CCCCCCCCCCC1") + else: + raise ValueError("Unexpected atom type") + mol = Molecule(smiles="C1CCCC(O)CCCCCCC1") mol.identify_ring_membership() for atom in mol.atoms: if atom.is_carbon(): assert atom.props["inRing"] elif atom.is_hydrogen(): assert not atom.props["inRing"] + elif atom.is_oxygen(): + assert not atom.props["inRing"] + else: + raise ValueError("Unexpected atom type") def test_enumerate_bonds(self): """Test that generating a count of bond labels works properly.""" From 8bd421e5bed047870326c0a532d4b4e384b5633d Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 00:23:39 -0400 Subject: [PATCH 143/700] Fix error in fragment exception handling. We were raising a string, not an exception. --- rmgpy/molecule/fragment.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 6d1b40fe6a1..1545ea051f5 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -496,11 +496,11 @@ def to_rdkit_mol(self, *args, **kwargs): """ remove_h = kwargs.get('remove_h', False) - if remove_h == True: + if remove_h: # because we're replacing # cutting labels with hydrogens # so do not allow removeHs to be True - raise "Currently fragment to_rdkit_mol only allows keeping all the hydrogens." + raise ValueError("Currently fragment to_rdkit_mol only allows keeping all the hydrogens.") mol0, mapping = self.get_representative_molecule("minimal", update=False) From 26f2f06a218f6e6307a52482c2edea855469e1b3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 00:28:20 -0400 Subject: [PATCH 144/700] Replace identify_ring_membership algorithm with existing is_vertex_in_cycle MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit We already have this method. The one introduced in c49650c545985c4063899adc99e428b03f229580 (then rewritten twice) doesn't seem necessarry. This seems to be twice as fast, for a certain test set of molecules. old: %%timeit for mol in mols: mol.identify_ring_membership() # via rdkit FastFindRings for a in mol.atoms: pass 4.41 ms ± 368 μs per loop (mean ± std. dev. of 7 runs, 100 loops each) new: %%timeit for mol in mols: for a in mol.atoms: a.props["inRing"] = mol.is_vertex_in_cycle(a) 2.17 ms ± 203 μs per loop (mean ± std. dev. of 7 runs, 100 loops each) --- rmgpy/molecule/molecule.py | 20 ++++---------------- 1 file changed, 4 insertions(+), 16 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 6c8346ebadb..8f3749976d6 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2509,22 +2509,10 @@ def to_group(self): def identify_ring_membership(self): """ Performs ring perception and saves ring membership information to the Atom.props attribute. - - Uses the RDKit FastFindRings algorithm. - """ - from rdkit.Chem.rdmolops import FastFindRings - cython.declare(rd_atom_indices=dict, i=int, atom=Atom) - rdmol, rd_atom_indices = converter.to_rdkit_mol(self, - remove_h=False, - return_mapping=True, - sanitize=False, - save_order=True) - # https://rdkit.blogspot.com/2016/09/avoiding-unnecessary-work-and.html - # suggests avoid sanitization and just call FastFindRings - FastFindRings(rdmol) - for atom, i in rd_atom_indices.items(): - atom.props['inRing'] = rdmol.GetAtomWithIdx(i).IsInRing() - + """ + cython.declare(atom=Atom) + for atom in self.atoms: + atom.props["inRing"] = self.is_vertex_in_cycle(atom) def count_aromatic_rings(self): """ From 176db1d8a685b8dbcdde32133385e9a9e54812f5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 09:16:17 -0400 Subject: [PATCH 145/700] Renamed get_symmetrized_smallest_set_of_smallest_rings and related methods. get_symmetrized_smallest_set_of_smallest_rings is now the only function that works and is appropriately named. get_smallest_set_of_smallest_rings and get_relevant_cycles now just raise NotImplementedError, because they are not actually implemented. This will break things until calls to those methods are replaced everywhere. --- rmgpy/molecule/molecule.pxd | 6 ++-- rmgpy/molecule/molecule.py | 63 ++++++++++++++++++------------------- 2 files changed, 34 insertions(+), 35 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index b1d35d7fdad..2c001a46fbf 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -307,9 +307,11 @@ cdef class Molecule(Graph): cpdef list get_desorbed_molecules(self) - cpdef list get_smallest_set_of_smallest_rings(self) + cpdef list get_smallest_set_of_smallest_rings(self) # deprecated - cpdef list get_relevant_cycles(self) + cpdef list get_symmetrized_smallest_set_of_smallest_rings(self) + + cpdef list get_relevant_cycles(self) # deprecated cpdef list get_all_polycyclic_vertices(self) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 8f3749976d6..c55338fe0f0 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2762,19 +2762,25 @@ def get_deterministic_sssr(self): def get_smallest_set_of_smallest_rings(self): """ - Returns the smallest set of smallest rings (SSSR) as a list of lists of Atom objects. - Uses RDKit's built-in ring perception (GetSymmSSSR). + Returned the strictly smallest set of smallest rings (SSSR). - References: - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 + Removed in favor of RDKit's Symmetrized SSSR perception, which + is less arbitrary, more chemically meaningful, and more consistent. + Use get_symmetrized_smallest_set_of_smallest_rings instead. + """ + raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " + "Use get_symmetrized_smallest_set_of_smallest_rings instead.") - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 + def get_symmetrized_smallest_set_of_smallest_rings(self): + """ + Returns the symmetrized smallest set of smallest rings (SSSR) as a list of lists of Atom objects. + + Uses RDKit's built-in ring perception (GetSymmSSSR). + The symmetrized SSSR is at least as large as the SSSR for a molecule. + In certain highly-symmetric cases (e.g. cubane), the symmetrized SSSR + can be a bit larger (i.e. the number of symmetrized rings is >= NumBonds-NumAtoms+1). + It is usually more chemically meaningful, and is less random/arbitrary than the SSSR, + which is non-deterministic in certain cases. """ # RDKit does not support electron if self.is_electron(): @@ -2782,11 +2788,11 @@ def get_smallest_set_of_smallest_rings(self): from rdkit import Chem - sssr = [] + symm_sssr = [] # Get the symmetric SSSR using RDKit - rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) + rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) - if isinstance(rdkit_result, tuple): # can be a tuple if Fragment version of to_rdkit_mol is used + if isinstance(rdkit_result, tuple): # can be a tuple if Fragment version of to_rdkit_mol is used rdkit_mol = rdkit_result[0] else: rdkit_mol = rdkit_result @@ -2795,13 +2801,17 @@ def get_smallest_set_of_smallest_rings(self): for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) - sssr.append(sorted_ring) - return sssr + symm_sssr.append(sorted_ring) + return symm_sssr + def get_relevant_cycles(self): """ - Returns the set of relevant cycles as a list of lists of Atom objects. - Uses RDKit's RingInfo to approximate relevant cycles. + Returned the "relevant cycles" (RC), as implemented in RingDecomposerLib. + + Deprecated when RingDecomposerLib was removed. + Now we are using methods that use RDKit, in the Molecule class. + Namely get_symmetrized_smallest_set_of_smallest_rings. References: Kolodzik, A.; Urbaczek, S.; Rarey, M. @@ -2814,21 +2824,8 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - # RDKit does not support electron - if self.is_electron(): - return [] - - rc = [] - mol = converter.to_rdkit_mol(self, remove_h=False, sanitize="partial", save_order=True) - ring_info = mol.GetRingInfo() - atom_rings = ring_info.AtomRings() - for ring in atom_rings: - atom_ring = [self.atoms[idx] for idx in ring] - sorted_ring = self.sort_cyclic_vertices(atom_ring) - # Filter for "relevant" cycles (e.g., rings up to size 7) - if len(sorted_ring) <= 7: - rc.append(sorted_ring) - return rc + raise NotImplementedError("'Relevant Cycles' are not implemented. " + "Use get_symmetrized_smallest_set_of_smallest_rings instead.") def get_all_polycyclic_vertices(self): """ From d17d421449a9a7f5e08719a538d15f16fa0ce563 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 09:21:00 -0400 Subject: [PATCH 146/700] Temporary: add deprecation warnings and re-enable ring methods. get_relevant_cycles and get_smallest_set_of_smallest_rings now just issue a deprecation warning, and return the result of get_symmetrized_smallest_set_of_smallest_rings. --- rmgpy/molecule/molecule.py | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index c55338fe0f0..42b265ce4e5 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2768,8 +2768,12 @@ def get_smallest_set_of_smallest_rings(self): is less arbitrary, more chemically meaningful, and more consistent. Use get_symmetrized_smallest_set_of_smallest_rings instead. """ - raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " - "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + import logging + logging.warning("Molecule.get_smallest_set_of_smallest_rings() is deprecated. " + "Use get_symmetrized_smallest_set_of_smallest_rings() instead.") + return self.get_symmetrized_smallest_set_of_smallest_rings() + #raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " + # "Use get_symmetrized_smallest_set_of_smallest_rings instead.") def get_symmetrized_smallest_set_of_smallest_rings(self): """ @@ -2824,8 +2828,12 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - raise NotImplementedError("'Relevant Cycles' are not implemented. " - "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + import logging + logging.warning("Molecule.get_relevant_cycles() is deprecated. " + "Use get_symmetrized_smallest_set_of_smallest_rings() instead.") + return self.get_symmetrized_smallest_set_of_smallest_rings() + #raise NotImplementedError("'Relevant Cycles' are not implemented. " + # "Use get_symmetrized_smallest_set_of_smallest_rings instead.") def get_all_polycyclic_vertices(self): """ From 61ea985885f5a18af0f4a26375e32a3af7ef4843 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 11:20:09 -0400 Subject: [PATCH 147/700] Revert "Temporary: add deprecation warnings and re-enable ring methods." This reverts commit 2d84bbc41f943096551380faf8bebb28dc15a354. --- rmgpy/molecule/molecule.py | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 42b265ce4e5..c55338fe0f0 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2768,12 +2768,8 @@ def get_smallest_set_of_smallest_rings(self): is less arbitrary, more chemically meaningful, and more consistent. Use get_symmetrized_smallest_set_of_smallest_rings instead. """ - import logging - logging.warning("Molecule.get_smallest_set_of_smallest_rings() is deprecated. " - "Use get_symmetrized_smallest_set_of_smallest_rings() instead.") - return self.get_symmetrized_smallest_set_of_smallest_rings() - #raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " - # "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " + "Use get_symmetrized_smallest_set_of_smallest_rings instead.") def get_symmetrized_smallest_set_of_smallest_rings(self): """ @@ -2828,12 +2824,8 @@ def get_relevant_cycles(self): Unique Ring Families and Other Cycle Bases. J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 """ - import logging - logging.warning("Molecule.get_relevant_cycles() is deprecated. " - "Use get_symmetrized_smallest_set_of_smallest_rings() instead.") - return self.get_symmetrized_smallest_set_of_smallest_rings() - #raise NotImplementedError("'Relevant Cycles' are not implemented. " - # "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + raise NotImplementedError("'Relevant Cycles' are not implemented. " + "Use get_symmetrized_smallest_set_of_smallest_rings instead.") def get_all_polycyclic_vertices(self): """ From 7571d5936a96ea134889282bd8044a762f0331b1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 23:34:01 -0400 Subject: [PATCH 148/700] Use get_symmetrized_smallest_set_of_smallest_rings in many places. Hopefully nowhere NEEDED the "relevant cycles" which I think might sometimes be larger set than the symmetrized SSSR. Although it is still not, I think, the same as all possible cycles. --- rmgpy/molecule/fragment.py | 2 +- rmgpy/molecule/molecule.py | 16 ++++++++-------- rmgpy/molecule/resonance.py | 2 +- 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 1545ea051f5..306f69f50fa 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -606,7 +606,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): AROMATIC = BondType.AROMATIC if rings is None: - rings = self.get_relevant_cycles() + rings = self.get_symmetrized_smallest_set_of_smallest_rings() rings = [ring for ring in rings if len(ring) == 6] if not rings: return [], [] diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index c55338fe0f0..a95888438ab 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2197,9 +2197,9 @@ def is_aromatic(self): will not fail for fused aromatic rings. """ cython.declare(rc=list, cycle=list, atom=Atom) - rc = self.get_relevant_cycles() - if rc: - for cycle in rc: + rings = self.get_symmetrized_smallest_set_of_smallest_rings() + if rings: + for cycle in rings: if len(cycle) == 6: for atom in cycle: # print atom.atomtype.label @@ -2526,7 +2526,7 @@ def count_aromatic_rings(self): return 0 cython.declare(rings=list, count=int, ring=list, bonds=list, bond=Bond) - rings = self.get_relevant_cycles() + rings = self.get_symmetrized_smallest_set_of_smallest_rings() count = 0 for ring in rings: if len(ring) != 6: @@ -2914,17 +2914,17 @@ def get_monocycles(self): def get_disparate_cycles(self): """ Get all disjoint monocyclic and polycyclic cycle clusters in the molecule. - Takes the RC and recursively merges all cycles which share vertices. + Takes the set of rings and recursively merges all cycles which share vertices. Returns: monocyclic_cycles, polycyclic_cycles """ - rc = self.get_relevant_cycles() + rings = self.get_symmetrized_smallest_set_of_smallest_rings() - if not rc: + if not rings: return [], [] # Convert cycles to sets - cycle_sets = [set(cycle_list) for cycle_list in rc] + cycle_sets = [set(cycle_list) for cycle_list in rings] # Merge connected cycles monocyclic_cycles, polycyclic_cycles = self._merge_cycles(cycle_sets) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index d389143d243..39b2fa1ed03 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -777,7 +777,7 @@ def generate_aryne_resonance_structures(mol): i=cython.int, j=cython.int, bond_orders=str, new_orders=str, ind=cython.int, bond=Edge, new_mol=Graph) - rings = mol.get_relevant_cycles() + rings = mol.get_symmetrized_smallest_set_of_smallest_rings() rings = [ring for ring in rings if len(ring) == 6] new_mol_list = [] From 3a899a6b6e55eb22e9e651c5ef9dbdee097f0f32 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Oct 2025 23:34:22 -0400 Subject: [PATCH 149/700] Create unit test for get_symmetrized_smallest_set_of_smallest_rings() --- test/rmgpy/molecule/moleculeTest.py | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 8c1b619c390..07e873aa7d4 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3057,6 +3057,33 @@ def test_remove_van_der_waals_bonds(self): mol.remove_van_der_waals_bonds() assert len(mol.get_all_edges()) == 1 + def test_get_symmetrized_smallest_set_of_smallest_rings(self): + """ + Test the Molecule.get_symmetrized_smallest_set_of_smallest_rings() method. + """ + mol = Molecule(smiles="CCCC") + cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() + assert len(cycle_list) == 0 + + # Create a cycle of length 4 + mol = Molecule(smiles="C1CCC1") + cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() + assert len(cycle_list) == 1 + assert len(cycle_list[0]) == 4 + + # Create a bridged tricyclic + mol = Molecule(smiles="C1C(C)CC2CC1C=C3C2CCC3") + cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() + assert len(cycle_list) == 3 + assert len(cycle_list[0]) == 5 + + # Test cubane + mol = Molecule(smiles="C12C3C4C1C5C2C3C45") + cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() + assert len(cycle_list) == 6 + for cycle in cycle_list: + assert len(cycle) == 4 + def test_get_relevant_cycles(self): """ Test the Molecule.get_relevant_cycles() method. From f36fa547727837f4a6ef61397c089684d0f72603 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 12:49:46 -0400 Subject: [PATCH 150/700] Use get_symmetrized_smallest_set_of_smallest_rings in more places. Now that this is the only ring-finding algorithm we have, we are forced to use it in bits of code that were previously using either the SSSR or the Relevant Cycles sets of rings. --- rmgpy/molecule/filtration.py | 2 +- rmgpy/molecule/molecule.py | 7 +++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/filtration.py b/rmgpy/molecule/filtration.py index dc310f036fc..3b435512e02 100644 --- a/rmgpy/molecule/filtration.py +++ b/rmgpy/molecule/filtration.py @@ -401,7 +401,7 @@ def aromaticity_filtration(mol_list, features): # Look for structures that don't have standard SDSDSD bond orders for mol in other_list: # Check all 6 membered rings - rings = [ring for ring in mol.get_relevant_cycles() if len(ring) == 6] + rings = [ring for ring in mol.get_symmetrized_smallest_set_of_smallest_rings() if len(ring) == 6] for ring in rings: bond_list = mol.get_edges_in_cycle(ring) bond_orders = ''.join([bond.get_order_str() for bond in bond_list]) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index a95888438ab..f0567dda9d3 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2564,7 +2564,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): AROMATIC = BondType.AROMATIC if rings is None: - rings = self.get_relevant_cycles() + rings = self.get_symmetrized_smallest_set_of_smallest_rings() # Remove rings that share more than 3 atoms, since they cannot be planar cython.declare(toRemove=set, j=cython.int, toRemoveSorted=list) @@ -2851,7 +2851,10 @@ def get_polycycles(self): a single polycyclic cycle, and return only those cycles. Cycles which are not polycyclic are not returned. """ - sssr = self.get_smallest_set_of_smallest_rings() + # Todo: if we're now using RDKit for ring detection anyway, we might be able to use it to do more of this method. + + # Now using symmetrized SSSR not strictly smallest SSSR. Hopefully this works the same? + sssr = self.get_symmetrized_smallest_set_of_smallest_rings() if not sssr: return [] From 66b2a68d789f4bddaa4b028bb4d9cbf0e4886ef6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 12:52:56 -0400 Subject: [PATCH 151/700] Change get_relevant_cycles test, now that it has been removed. --- test/rmgpy/molecule/moleculeTest.py | 14 +++----------- 1 file changed, 3 insertions(+), 11 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 07e873aa7d4..4ad6df1c5c5 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3086,19 +3086,11 @@ def test_get_symmetrized_smallest_set_of_smallest_rings(self): def test_get_relevant_cycles(self): """ - Test the Molecule.get_relevant_cycles() method. + Test the Molecule.get_relevant_cycles() raises correct error after deprecation. """ mol = Molecule(smiles="CCCC") - cycle_list = mol.get_relevant_cycles() - assert len(cycle_list) == 0 - - # Create a cycle of length 4 - mol = Molecule(smiles="C1CCC1") - cycle_list = mol.get_relevant_cycles() - assert len(cycle_list) == 1 - assert len(cycle_list[0]) == 4 - - # TODO: test bridged bicycle + with pytest.raises(NotImplementedError): + mol.get_relevant_cycles() def test_cycle_list_order_sssr(self): """ From 6f5d79ec878d53b99aefe8172a3fb096e6f51fec Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 22:33:58 -0400 Subject: [PATCH 152/700] Using get_symmetrized_smallest_set_of_smallest_rings in more places. Since get_smallest_set_of_smallest_rings no longer works, and get_symmetrized_smallest_set_of_smallest_rings is in most cases a more helpful set of rings anyway, we are using the new get_symmetrized_smallest_set_of_smallest_rings method. For some polycyclic species (like cubane) this set is larger. But probably better in most cases. --- arkane/encorr/isodesmic.py | 2 +- rmgpy/data/solvation.py | 10 +++++----- rmgpy/data/thermo.py | 12 ++++++------ rmgpy/molecule/draw.py | 2 +- rmgpy/molecule/molecule.py | 9 +++++---- test/rmgpy/data/thermoTest.py | 12 ++++++------ test/rmgpy/molecule/moleculeTest.py | 22 +++++++++++----------- 7 files changed, 35 insertions(+), 34 deletions(-) diff --git a/arkane/encorr/isodesmic.py b/arkane/encorr/isodesmic.py index f4f39d0d85d..75e52e657a7 100644 --- a/arkane/encorr/isodesmic.py +++ b/arkane/encorr/isodesmic.py @@ -413,7 +413,7 @@ def _get_ring_constraints( self, species: ErrorCancelingSpecies ) -> List[GenericConstraint]: ring_features = [] - rings = species.molecule.get_smallest_set_of_smallest_rings() + rings = species.molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in rings: ring_features.append(GenericConstraint(constraint_str=f"{len(ring)}_ring")) diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py index b95f708f02a..c816e13ba79 100644 --- a/rmgpy/data/solvation.py +++ b/rmgpy/data/solvation.py @@ -1623,7 +1623,7 @@ def estimate_radical_solute_data_via_hbi(self, molecule, stable_solute_data_esti # Take C1=CC=C([O])C(O)=C1 as an example, we need to remove the interation of OH-OH, then add the interaction of Oj-OH. # For now, we only apply this part to cyclic structure because we only have radical interaction data for aromatic radical. if saturated_struct.is_cyclic(): - sssr = saturated_struct.get_smallest_set_of_smallest_rings() + sssr = saturated_struct.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1631,7 +1631,7 @@ def estimate_radical_solute_data_via_hbi(self, molecule, stable_solute_data_esti saturated_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1707,7 +1707,7 @@ def estimate_halogen_solute_data(self, molecule, stable_solute_data_estimator): # Remove all of the long distance interactions of the replaced structure. Then add the long interactions of the halogenated molecule. if replaced_struct.is_cyclic(): - sssr = replaced_struct.get_smallest_set_of_smallest_rings() + sssr = replaced_struct.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1715,7 +1715,7 @@ def estimate_halogen_solute_data(self, molecule, stable_solute_data_estimator): replaced_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1799,7 +1799,7 @@ def compute_group_additivity_solute(self, molecule): # In my opinion, it's cleaner to do it in the current way. # WIPWIPWIPWIPWIPWIPWIP ######################################### WIPWIPWIPWIPWIPWIPWIP if cyclic: - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 9179c3a10ad..5e10424fe80 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -346,7 +346,7 @@ def is_bicyclic(polyring): returns True if it's a bicyclic, False otherwise """ submol, _ = convert_ring_to_sub_molecule(polyring) - sssr = submol.get_smallest_set_of_smallest_rings() + sssr = submol.get_symmetrized_smallest_set_of_smallest_rings() return len(sssr) == 2 @@ -466,8 +466,8 @@ def is_ring_partial_matched(ring, matched_group): return True else: submol_ring, _ = convert_ring_to_sub_molecule(ring) - sssr = submol_ring.get_smallest_set_of_smallest_rings() - sssr_grp = matched_group.make_sample_molecule().get_smallest_set_of_smallest_rings() + sssr = submol_ring.get_symmetrized_smallest_set_of_smallest_rings() + sssr_grp = matched_group.make_sample_molecule().get_symmetrized_smallest_set_of_smallest_rings() if sorted([len(sr) for sr in sssr]) == sorted([len(sr_grp) for sr_grp in sssr_grp]): return False else: @@ -2141,7 +2141,7 @@ def estimate_radical_thermo_via_hbi(self, molecule, stable_thermo_estimator): # Take C1=CC=C([O])C(O)=C1 as an example, we need to remove the interation of OH-OH, then add the interaction of Oj-OH. # For now, we only apply this part to cyclic structure because we only have radical interaction data for aromatic radical. if saturated_struct.is_cyclic(): - sssr = saturated_struct.get_smallest_set_of_smallest_rings() + sssr = saturated_struct.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -2149,7 +2149,7 @@ def estimate_radical_thermo_via_hbi(self, molecule, stable_thermo_estimator): saturated_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -2272,7 +2272,7 @@ def compute_group_additivity_thermo(self, molecule): # In my opinion, it's cleaner to do it in the current way. # WIPWIPWIPWIPWIPWIPWIP ######################################### WIPWIPWIPWIPWIPWIPWIP if cyclic: - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index 89aa83d6f2e..04362aaeaad 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -327,7 +327,7 @@ def _find_ring_groups(self): """ # Find all of the cycles in the molecule - self.cycles = self.molecule.get_smallest_set_of_smallest_rings() + self.cycles = self.molecule.get_symmetrized_smallest_set_of_smallest_rings() self.ringSystems = [] # If the molecule contains cycles, find them and group them diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index f0567dda9d3..082ba5318fe 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2831,7 +2831,8 @@ def get_all_polycyclic_vertices(self): """ Return all vertices belonging to two or more cycles, fused or spirocyclic. """ - sssr = self.get_smallest_set_of_smallest_rings() + sssr = self.get_symmetrized_smallest_set_of_smallest_rings() + # Todo: could get RDKit to do this directly, since we're going via RDKit. polycyclic_vertices = [] if sssr: vertices = [] @@ -2890,14 +2891,14 @@ def get_monocycles(self): """ Return a list of cycles that are monocyclic. """ - sssr = self.get_smallest_set_of_smallest_rings() + sssr = self.get_symmetrized_smallest_set_of_smallest_rings() if not sssr: return [] polycyclic_vertices = self.get_all_polycyclic_vertices() if not polycyclic_vertices: - # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings + # No polycyclic_vertices detected, all the rings from get_symmetrized_smallest_set_of_smallest_rings # are monocyclic return sssr @@ -2996,7 +2997,7 @@ def get_max_cycle_overlap(self): cycles, it is two; and if there are "bridged" cycles, it is three. """ - cycles = self.get_smallest_set_of_smallest_rings() + cycles = self.get_symmetrized_smallest_set_of_smallest_rings() max_overlap = 0 for i, j in itertools.combinations(range(len(cycles)), 2): overlap = len(set(cycles[i]) & set(cycles[j])) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index a7c11e9fcd2..694b38893f2 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -1723,7 +1723,7 @@ def test_add_poly_ring_correction_thermo_data_from_heuristic_using_pyrene(self): spe.generate_resonance_structures() mols = [] for mol in spe.molecule: - sssr0 = mol.get_smallest_set_of_smallest_rings() + sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -1772,7 +1772,7 @@ def test_add_poly_ring_correction_thermo_data_from_heuristic_using_aromatic_tric spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_smallest_set_of_smallest_rings() + sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -2050,7 +2050,7 @@ def test_combine_two_rings_into_sub_molecule(self): mol1 = Molecule().from_smiles(smiles1) # get two SSSRs - sssr = mol1.get_smallest_set_of_smallest_rings() + sssr = mol1.get_symmetrized_smallest_set_of_smallest_rings() ring1 = sssr[0] ring2 = sssr[1] @@ -2127,7 +2127,7 @@ def test_find_aromatic_bonds_from_sub_molecule(self): mol = spe.molecule[0] # get two SSSRs - sssr = mol.get_smallest_set_of_smallest_rings() + sssr = mol.get_symmetrized_smallest_set_of_smallest_rings() ring1 = sssr[0] ring2 = sssr[1] @@ -2151,7 +2151,7 @@ def test_bicyclic_decomposition_for_polyring_using_pyrene(self): spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_smallest_set_of_smallest_rings() + sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -2200,7 +2200,7 @@ def test_bicyclic_decomposition_for_polyring_using_aromatic_tricyclic(self): spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_smallest_set_of_smallest_rings() + sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 4ad6df1c5c5..660685141e2 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -1544,13 +1544,13 @@ def test_remove_h_bonds(self): def test_sssr(self): """ - Test the Molecule.get_smallest_set_of_smallest_rings() method with a complex + Test the Molecule.get_symmetrized_smallest_set_of_smallest_rings() method with a complex polycyclic molecule. """ molecule = Molecule() molecule.from_smiles("C(CC1C(C(CCCCCCCC)C1c1ccccc1)c1ccccc1)CCCCCC") # http://cactus.nci.nih.gov/chemical/structure/C(CC1C(C(CCCCCCCC)C1c1ccccc1)c1ccccc1)CCCCCC/image - sssr = molecule.get_smallest_set_of_smallest_rings() + sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() assert len(sssr) == 3 def test_is_in_cycle_ethane(self): @@ -2411,38 +2411,38 @@ def test_get_disparate_rings(self): assert len(polyrings) == 1 assert len(polyrings[0]) == 10 - def test_get_smallest_set_of_smallest_rings(self): + def test_get_symmetrized_smallest_set_of_smallest_rings(self): """ Test that SSSR within a molecule are returned properly in the function - `Molecule().get_smallest_set_of_smallest_rings()` + `Molecule().get_symmetrized_smallest_set_of_smallest_rings()` """ m1 = Molecule(smiles="C12CCC1C3CC2CC3") - sssr1 = m1.get_smallest_set_of_smallest_rings() + sssr1 = m1.get_symmetrized_smallest_set_of_smallest_rings() sssr1_sizes = sorted([len(ring) for ring in sssr1]) sssr1_sizes_expected = [4, 5, 5] assert sssr1_sizes == sssr1_sizes_expected m2 = Molecule(smiles="C1(CC2)C(CC3)CC3C2C1") - sssr2 = m2.get_smallest_set_of_smallest_rings() + sssr2 = m2.get_symmetrized_smallest_set_of_smallest_rings() sssr2_sizes = sorted([len(ring) for ring in sssr2]) sssr2_sizes_expected = [5, 5, 6] assert sssr2_sizes == sssr2_sizes_expected m3 = Molecule(smiles="C1(CC2)C2C(CCCC3)C3C1") - sssr3 = m3.get_smallest_set_of_smallest_rings() + sssr3 = m3.get_symmetrized_smallest_set_of_smallest_rings() sssr3_sizes = sorted([len(ring) for ring in sssr3]) sssr3_sizes_expected = [4, 5, 6] assert sssr3_sizes == sssr3_sizes_expected m4 = Molecule(smiles="C12=CC=CC=C1C3=C2C=CC=C3") - sssr4 = m4.get_smallest_set_of_smallest_rings() + sssr4 = m4.get_symmetrized_smallest_set_of_smallest_rings() sssr4_sizes = sorted([len(ring) for ring in sssr4]) sssr4_sizes_expected = [4, 6, 6] assert sssr4_sizes == sssr4_sizes_expected m5 = Molecule(smiles="C12=CC=CC=C1CC3=C(C=CC=C3)C2") - sssr5 = m5.get_smallest_set_of_smallest_rings() + sssr5 = m5.get_symmetrized_smallest_set_of_smallest_rings() sssr5_sizes = sorted([len(ring) for ring in sssr5]) sssr5_sizes_expected = [6, 6, 6] assert sssr5_sizes == sssr5_sizes_expected @@ -3094,7 +3094,7 @@ def test_get_relevant_cycles(self): def test_cycle_list_order_sssr(self): """ - Test that get_smallest_set_of_smallest_rings return vertices in the proper order. + Test that get_symmetrized_smallest_set_of_smallest_rings return vertices in the proper order. There are methods such as symmetry and molecule drawing which rely on the fact that subsequent list entries are connected. @@ -3102,7 +3102,7 @@ def test_cycle_list_order_sssr(self): # Create a cycle of length 5 mol = Molecule(smiles="C1CCCC1") # Test SSSR - sssr = mol.get_smallest_set_of_smallest_rings() + sssr = mol.get_symmetrized_smallest_set_of_smallest_rings() assert len(sssr) == 1 assert len(sssr[0]) == 5 for i in range(5): From e098d083b99716366122fd43f6740fbff5f3385b Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 22:36:27 -0400 Subject: [PATCH 153/700] Delete test_cycle_list_order_relevant_cycles test. Because relevant_cycles no longer functions, we can no longer test that it returns atoms in a ring-like order. If we restore the relevant_cycles we should restore this test. I have left test_cycle_list_order_sssr in place, which tests the new get_symmetrized_smallest_set_of_smallest_rings --- test/rmgpy/molecule/moleculeTest.py | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 660685141e2..58e5cc58a50 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3108,22 +3108,6 @@ def test_cycle_list_order_sssr(self): for i in range(5): assert mol.has_bond(sssr[0][i], sssr[0][i - 1]) - def test_cycle_list_order_relevant_cycles(self): - """ - Test that get_relevant_cycles return vertices in the proper order. - - There are methods such as symmetry and molecule drawing which rely - on the fact that subsequent list entries are connected. - """ - # Create a cycle of length 5 - mol = Molecule(smiles="C1CCCC1") - # Test RC - rc = mol.get_relevant_cycles() - assert len(rc) == 1 - assert len(rc[0]) == 5 - for i in range(5): - assert mol.has_bond(rc[0][i], rc[0][i - 1]) - def test_get_max_cycle_overlap(self): """ Test that get_max_cycle_overlap returns the correct overlap numbers From c33f83bfbb1bf3f095be146f7644fefaaec223d2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 23:07:40 -0400 Subject: [PATCH 154/700] Fix sanitization issue in to_rdkit_mol If you had remove_h = True and sanitize="partial", it would try passing that along to RDKit, which would not expect it. Now we remove H's (without sanitizing) before possibly doing the sanitizing. --- rmgpy/molecule/converter.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index a2e792a0a48..1d6652f6c4b 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -126,6 +126,8 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o for atom in rdkitmol.GetAtoms(): if atom.GetAtomicNum() > 1: atom.SetNoImplicit(True) + if remove_h: + rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=False) # skip sanitization here, do it later if requested if sanitize == True: Chem.SanitizeMol(rdkitmol) elif sanitize == "partial": @@ -134,8 +136,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o except (KekulizeException, AtomKekulizeException): logging.debug("Kekulization failed; sanitizing without Kekulize") Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES ^ Chem.SANITIZE_KEKULIZE) - if remove_h: - rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize) + if return_mapping: return rdkitmol, rd_atom_indices return rdkitmol From a0ab3dd56a4daad3dba4dedd22ea4c06eab2f5ec Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 23:28:01 -0400 Subject: [PATCH 155/700] Make detect_cutting_label a static method. So you don't need to create an instance of Fragment() just in order to call the method (seeing as that seems to be how it is mostly used.) Probably it should be a module level function, but this is a minimal change. --- rmgpy/molecule/converter.py | 2 +- rmgpy/molecule/fragment.py | 5 +++-- rmgpy/species.py | 4 ++-- 3 files changed, 6 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 1d6652f6c4b..886baf13860 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -90,7 +90,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o # Check if a cutting label is present. If preserve this so that it is added to the SMILES string # Fragment's representative species is Molecule (with CuttingLabel replaced by Si but label as CuttingLabel) # so we use detect_cutting_label to check atom.label - _, cutting_label_list = Fragment().detect_cutting_label(atom.label) + _, cutting_label_list = Fragment.detect_cutting_label(atom.label) if cutting_label_list != []: saved_index = index label = atom.label diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 306f69f50fa..9a551bd5080 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -1303,8 +1303,9 @@ def from_smiles_like_string(self, smiles_like_string): self.from_rdkit_mol(rdkitmol, atom_replace_dict) return self - - def detect_cutting_label(self, smiles): + + @staticmethod + def detect_cutting_label(smiles): import re from rmgpy.molecule.element import element_list diff --git a/rmgpy/species.py b/rmgpy/species.py index c17bdd182a4..d89cf8c8645 100644 --- a/rmgpy/species.py +++ b/rmgpy/species.py @@ -126,7 +126,7 @@ def __init__(self, index=-1, label='', thermo=None, conformer=None, molecule=Non self._inchi = inchi elif smiles: # check it is fragment or molecule - _ , cutting_label_list = Fragment().detect_cutting_label(smiles) + _ , cutting_label_list = Fragment.detect_cutting_label(smiles) if cutting_label_list != []: # Fragment self.molecule = [Fragment(smiles=smiles)] else: # Molecule @@ -382,7 +382,7 @@ def from_adjacency_list(self, adjlist, raise_atomtype_exception=True, raise_char adjlist_no_label = adjlist # detect if it contains cutting label - _ , cutting_label_list = Fragment().detect_cutting_label(adjlist_no_label) + _ , cutting_label_list = Fragment.detect_cutting_label(adjlist_no_label) if cutting_label_list == []: self.molecule = [Molecule().from_adjacency_list(adjlist, saturate_h=False, From c4576cf3ef74a75851553ff40f57d8da760292ed Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 23:53:07 -0400 Subject: [PATCH 156/700] Change to_rdkit_mol bond handling. Add ignore_bond_order option. Now that we use RDKit to detect rings, we create a lot of rdkit molecules in which we don't care about the bond orders, sometimes we have non-integer or weird bond orders, and we also don't want to waste time sanitizing them since all we care about is connectivity of the molecular graph. So if you know you're calling to_rdkit_mol in this setting, call it with ignore_bond_orders=True and sanitize=False. --- rmgpy/molecule/converter.pxd | 2 +- rmgpy/molecule/converter.py | 22 ++++++++++++++++------ test/rmgpy/molecule/converterTest.py | 14 ++++++++++++++ 3 files changed, 31 insertions(+), 7 deletions(-) diff --git a/rmgpy/molecule/converter.pxd b/rmgpy/molecule/converter.pxd index 24258a81f4e..a6ec0f9ee26 100644 --- a/rmgpy/molecule/converter.pxd +++ b/rmgpy/molecule/converter.pxd @@ -29,7 +29,7 @@ cimport rmgpy.molecule.molecule as mm cimport rmgpy.molecule.element as elements -cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, object sanitize=*, bint save_order=?) +cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, object sanitize=*, bint save_order=?, bint ignore_bond_orders=?) cpdef mm.Molecule from_rdkit_mol(mm.Molecule mol, object rdkitmol, bint raise_atomtype_exception=?) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 886baf13860..571eca651a6 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -50,7 +50,8 @@ from rmgpy.exceptions import DependencyError -def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_order=False): +def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, + save_order=False, ignore_bond_orders=False): """ Convert a molecular structure to a RDKit rdmol object. Uses `RDKit `_ to perform the conversion. @@ -58,7 +59,13 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o If return_mapping==True then it also returns a dictionary mapping the atoms to RDKit's atom indices. + + If ignore_bond_orders==True, all bonds are converted to unknown bonds, and + sanitization is skipped. This is helpful when all you want is ring perception, + for example. Must also set sanitize=False. """ + if ignore_bond_orders and sanitize: + raise ValueError("If ignore_bond_orders is True, sanitize must be False") from rmgpy.molecule.fragment import Fragment # Sort the atoms before converting to ensure output is consistent # between different runs @@ -73,7 +80,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o rd_atom = Chem.rdchem.Atom('Pt') # not sure how to do this with linear scaling when this might not be Pt elif atom.element.symbol in ['R', 'L']: rd_atom = Chem.rdchem.Atom(0) - else: + else: rd_atom = Chem.rdchem.Atom(atom.element.symbol) if atom.element.isotope != -1: rd_atom.SetIsotope(atom.element.isotope) @@ -100,8 +107,11 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o label_dict[label] = [saved_index] rd_bonds = Chem.rdchem.BondType # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK - orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, - 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.UNSPECIFIED} + orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, + 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, + 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, + 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.UNSPECIFIED, + None: rd_bonds.UNSPECIFIED} # Add the bonds for atom1 in mol.vertices: for atom2, bond in atom1.edges.items(): @@ -110,10 +120,10 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o index1 = atoms.index(atom1) index2 = atoms.index(atom2) if index1 < index2: - order_string = bond.get_order_str() - if order_string is None: + if ignore_bond_orders: order = rd_bonds.UNSPECIFIED else: + order_string = bond.get_order_str() order = orders[order_string] rdkitmol.AddBond(index1, index2, order) diff --git a/test/rmgpy/molecule/converterTest.py b/test/rmgpy/molecule/converterTest.py index d9395a90a3a..142fc0f598d 100644 --- a/test/rmgpy/molecule/converterTest.py +++ b/test/rmgpy/molecule/converterTest.py @@ -134,6 +134,20 @@ def test_atom_mapping_3(self): assert [atom.number for atom in mol.atoms] == [1, 6, 7] assert [rdkitmol.GetAtomWithIdx(idx).GetAtomicNum() for idx in range(3)] == [1, 6, 7] + def test_ignoring_bonds(self): + """Test that to_rdkit_mol returns correct indices and atom mappings, when ignoring bond orders.""" + + mol = Molecule().from_smiles("CC1CCC=C1C=O") + rdkitmol, rd_atom_indices = to_rdkit_mol(mol, remove_h=False, + sanitize=False, return_mapping=True, + ignore_bond_orders=True) + for atom in mol.atoms: + # Check that all atoms are found in mapping + assert atom in rd_atom_indices + # Check that all bonds are in rdkitmol with correct mapping and no order + for connected_atom, bond in atom.bonds.items(): + bond_type = str(rdkitmol.GetBondBetweenAtoms(rd_atom_indices[atom], rd_atom_indices[connected_atom]).GetBondType()) + assert bond_type == "UNSPECIFIED" class ConverterTest: def setup_class(self): From 413b2f80c3f4e1f55f37266e03297d4e6e14d2a0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 10 Oct 2025 23:57:15 -0400 Subject: [PATCH 157/700] When doing ring detection, don't pass bond orders to RDKit. This should save complication and time. Also, don't sanitize. All we're going to ask it for is ring information. For that all bonds (that we give it) count. If we want it to ignore H-bonds, or vdW bonds, for some scenarios, then we should figure that out. But often we use this ring detection code for things like drawing, which does want to use those bonds. --- rmgpy/molecule/molecule.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 082ba5318fe..2333d10dc43 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2790,7 +2790,8 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): symm_sssr = [] # Get the symmetric SSSR using RDKit - rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize="partial", save_order=True) + rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize=False, + save_order=True, ignore_bond_orders=True) if isinstance(rdkit_result, tuple): # can be a tuple if Fragment version of to_rdkit_mol is used rdkit_mol = rdkit_result[0] From fa5d98d4d31cc7b9f2e852933359636912778c15 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 09:26:48 -0400 Subject: [PATCH 158/700] Revert "Change debug level of RDKit-related warnings" This reverts commit 55f8fc401429ebec45b72ef248d1d31b154f0615. We should, during ring detection, now be not attempting to convert bond orders into strings, so this warning should not be triggered. We can restore the debug level if this becomes too noisy. --- rmgpy/molecule/converter.py | 2 +- rmgpy/molecule/molecule.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 571eca651a6..35196d178e6 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -144,7 +144,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, try: Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES) except (KekulizeException, AtomKekulizeException): - logging.debug("Kekulization failed; sanitizing without Kekulize") + logging.warning("Kekulization failed; sanitizing without Kekulize") Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES ^ Chem.SANITIZE_KEKULIZE) if return_mapping: diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 2333d10dc43..8834a664812 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -787,7 +787,7 @@ def get_order_str(self): elif self.is_reaction_bond(): return 'R' else: - logging.debug("Bond order {} does not have string representation; treating as unspecified.".format(self.order)) + logging.warning("Bond order {} does not have string representation.".format(self.order)) return None def set_order_str(self, new_order): From 78ada9b4707641d306ceedd228ecfde6d1984261 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 09:18:34 -0400 Subject: [PATCH 159/700] Possible simplification of to_rdkit_mol for cutting labels. We do a call to detect_cutting_label (which is a complicated function to find them buried inside SMILES strings) passing it the label of every atom. (Though maybe these are mostly ''?). This commit checks whether a simpler approach would work: just checking if the atom.label is either 'R' or 'L'. If that's the case, we can then make the change. --- rmgpy/molecule/converter.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 35196d178e6..8b0667d71b7 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -66,7 +66,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, """ if ignore_bond_orders and sanitize: raise ValueError("If ignore_bond_orders is True, sanitize must be False") - from rmgpy.molecule.fragment import Fragment + from rmgpy.molecule.fragment import Fragment, CuttingLabel # Sort the atoms before converting to ensure output is consistent # between different runs if not save_order: @@ -97,14 +97,24 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, # Check if a cutting label is present. If preserve this so that it is added to the SMILES string # Fragment's representative species is Molecule (with CuttingLabel replaced by Si but label as CuttingLabel) # so we use detect_cutting_label to check atom.label + # Todo: could we use atom.label in ('R', 'L') instead? _, cutting_label_list = Fragment.detect_cutting_label(atom.label) - if cutting_label_list != []: + if cutting_label_list != []: # there is a cutting label detected + if not atom.label in ('R', 'L'): + print("Using atom.label in ('R', 'L') in place of detect_cutting_label(atom.label) would have given a false negative." + f" atom.label = {atom.label}, cutting_label_list = {cutting_label_list}") + saved_index = index label = atom.label if label in label_dict: label_dict[label].append(saved_index) else: label_dict[label] = [saved_index] + else: + # cutting_label_list == [] + if atom.label in ('R', 'L'): + print("Using atom.label in ('R', 'L') in place of detect_cutting_label(atom.label) would have given a false positive." + f" atom.label = {atom.label}, cutting_label_list = {cutting_label_list}") rd_bonds = Chem.rdchem.BondType # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, From b09bd3c065a95c0cc1b35cdc0e87762829a304c0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 19:37:16 -0400 Subject: [PATCH 160/700] Simplify and optimize cutting label lookup in to_rdkit_mol. As far as I can tell, cutting labels can only be "L" or "R". I had a previous commit that checked this is equivalent, and by running the unit tests and regression tests could not find a counterexample. This check is much simpler, and about 200 times faster, than the previous call to detect_cutting_label. Also simplified the dictionary structure. --- rmgpy/molecule/converter.py | 37 +++++++++---------------------------- 1 file changed, 9 insertions(+), 28 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 8b0667d71b7..ae005cb25b6 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -73,7 +73,7 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, mol.sort_atoms() atoms = mol.vertices rd_atom_indices = {} # dictionary of RDKit atom indices - label_dict = {} # store label of atom for Framgent + label_dict = {} # For fragment cutting labels. Key is rdkit atom index, value is label string rdkitmol = Chem.rdchem.EditableMol(Chem.rdchem.Mol()) for index, atom in enumerate(mol.vertices): if atom.element.symbol == 'X': @@ -86,35 +86,18 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, rd_atom.SetIsotope(atom.element.isotope) rd_atom.SetNumRadicalElectrons(atom.radical_electrons) rd_atom.SetFormalCharge(atom.charge) - if atom.element.symbol == 'C' and atom.lone_pairs == 1 and mol.multiplicity == 1: rd_atom.SetNumRadicalElectrons( - 2) + if atom.element.symbol == 'C' and atom.lone_pairs == 1 and mol.multiplicity == 1: + rd_atom.SetNumRadicalElectrons(2) rdkitmol.AddAtom(rd_atom) if remove_h and atom.symbol == 'H': pass else: rd_atom_indices[atom] = index - # Check if a cutting label is present. If preserve this so that it is added to the SMILES string - # Fragment's representative species is Molecule (with CuttingLabel replaced by Si but label as CuttingLabel) - # so we use detect_cutting_label to check atom.label - # Todo: could we use atom.label in ('R', 'L') instead? - _, cutting_label_list = Fragment.detect_cutting_label(atom.label) - if cutting_label_list != []: # there is a cutting label detected - if not atom.label in ('R', 'L'): - print("Using atom.label in ('R', 'L') in place of detect_cutting_label(atom.label) would have given a false negative." - f" atom.label = {atom.label}, cutting_label_list = {cutting_label_list}") - - saved_index = index - label = atom.label - if label in label_dict: - label_dict[label].append(saved_index) - else: - label_dict[label] = [saved_index] - else: - # cutting_label_list == [] - if atom.label in ('R', 'L'): - print("Using atom.label in ('R', 'L') in place of detect_cutting_label(atom.label) would have given a false positive." - f" atom.label = {atom.label}, cutting_label_list = {cutting_label_list}") + # Save cutting labels to add to the SMILES string + if atom.label and atom.label in ('R', 'L'): + label_dict[index] = atom.label + rd_bonds = Chem.rdchem.BondType # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, @@ -139,10 +122,8 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, # Make editable mol into a mol and rectify the molecule rdkitmol = rdkitmol.GetMol() - if label_dict: - for label, ind_list in label_dict.items(): - for ind in ind_list: - Chem.SetSupplementalSmilesLabel(rdkitmol.GetAtomWithIdx(ind), label) + for index, label in label_dict.items(): + Chem.SetSupplementalSmilesLabel(rdkitmol.GetAtomWithIdx(index), label) for atom in rdkitmol.GetAtoms(): if atom.GetAtomicNum() > 1: atom.SetNoImplicit(True) From 589f6298e444012fe8e82359fdfc20682d161b87 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 21:43:03 -0400 Subject: [PATCH 161/700] Fragment.to_rdkit_mol now respects some kwargs instead of printing warnings. Previously, if you call to_rdkit_mol on a Fragment, it would always return the mapping, but if you called it on a Molecule, it would by default not. Now if you call it with return_mapping=False (or not specified) then it doesn't return the mapping, and if you call it with return_mapping=True, then it does. Internally, it calls converter.to_rdkit_mol with return_mapping=True, but doesn't pass it back unless asked. Now the behavior of thing.to_rdkit_mol() is the same whether thing is a Molecule or a Fragment (which is a subclass of Molecule). Should reduce number of warnings, eg. when drawing fragments. Also cleaned up the code a bit, and added some docstrings, --- rmgpy/molecule/fragment.py | 79 ++++++++++++++++++-------------------- 1 file changed, 37 insertions(+), 42 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 9a551bd5080..c0db0a98f1a 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -492,55 +492,45 @@ def get_formula(self): def to_rdkit_mol(self, *args, **kwargs): """ - Convert a molecular structure to a RDKit rdmol object. - """ - remove_h = kwargs.get('remove_h', False) + Convert a Fragment structure to a RDKit rdmol object. + + Uses Fragment.get_representative_molecule to get a representative molecule, + and then uses converter.to_rdkit_mol to do the conversion. - if remove_h: - # because we're replacing - # cutting labels with hydrogens - # so do not allow removeHs to be True - raise ValueError("Currently fragment to_rdkit_mol only allows keeping all the hydrogens.") + Could change the order of atoms in the Fragment (self) to match the order of + representative_molecule.atoms, though that's probably the same. + """ - mol0, mapping = self.get_representative_molecule("minimal", update=False) + if kwargs.get('remove_h', False): + # because we're replacing cutting labels with hydrogens + # do not allow removeHs to be True + raise ValueError("Currently Fragment to_rdkit_mol only allows keeping all the hydrogens.") - return_mapping = kwargs.get("return_mapping", False) - if return_mapping == False: - kwargs["return_mapping"] = True - logging.warning("Fragment to_rdkit_mol expects to return a tuple. " - "Setting return_mapping = True; please double-check your code to ensure this is what you want.") + representative_molecule, fragment_to_mol_mapping = self.get_representative_molecule("minimal", update=False) - rdmol, rdAtomIdx_mol0 = converter.to_rdkit_mol( - mol0, + new_kwargs = {**kwargs} # make a copy of kwargs to avoid modifying the original one + new_kwargs["remove_h"] = False + new_kwargs["return_mapping"] = True # override user if needed + new_kwargs["save_order"] = True # override user if needed + rdmol, molecule_to_rdindex_mapping = converter.to_rdkit_mol( + representative_molecule, *args, - **kwargs + **new_kwargs ) - rdAtomIdx_frag = {} - for frag_atom, mol0_atom in mapping.items(): - rd_idx = rdAtomIdx_mol0[mol0_atom] - rdAtomIdx_frag[frag_atom] = rd_idx - - # sync the order of fragment vertices with the order - # of mol0.atoms since mol0.atoms is changed/sorted in - # converter.to_rdkit_mol(). - # Since the rdmol's atoms order is same as the order of mol0's atoms, - # the synchronization between fragment.atoms order and mol0.atoms order - # is necessary to make sure the order of fragment vertices - # reflects the order of rdmol's atoms - vertices_order = [] - for v in self.vertices: - a = mapping[v] - idx = mol0.atoms.index(a) - vertices_order.append((v, idx)) - - adapted_vertices = [ - tup[0] for tup in sorted(vertices_order, key=lambda tup: tup[1]) - ] + fragment_to_rdindex_mapping = {} + for fragment_atom, molecule_atom in fragment_to_mol_mapping.items(): + rdmol_index = molecule_to_rdindex_mapping[molecule_atom] + fragment_to_rdindex_mapping[fragment_atom] = rdmol_index - self.vertices = adapted_vertices + # Sort the Fragment (self) vertices according to the order of the RDKit molecule's atoms + # (rwest is not sure this is needed, but it was here so he's leaving it) + self.vertices.sort(key=lambda v: fragment_to_rdindex_mapping[v]) - return rdmol, rdAtomIdx_frag + if kwargs.get("return_mapping", False): + return rdmol, fragment_to_rdindex_mapping + else: + return rdmol def from_adjacency_list( self, @@ -687,9 +677,8 @@ def to_smiles(self): mol_repr.atoms = smiles_before.vertices mol_repr.update() smiles_after = mol_repr.to_smiles() - import re - smiles = re.sub(r"\[Si-3\]", "", smiles_after) + smiles = smiles_after.replace("[Si-3]", "") return smiles @@ -1812,6 +1801,12 @@ def assign_representative_species(self): self.species_repr.symmetry_number = self.symmetry_number def get_representative_molecule(self, mode="minimal", update=True): + """ + Generate a representative molecule from the fragment. + The representative molecule is generated by replacing all CuttingLabel + atoms with hydrogen atoms. + """ + if mode != "minimal": raise RuntimeError( 'Fragment.get_representative_molecule onyl supports mode="minimal"' From bc04e0508e7d96e57d25f171228d706db6206930 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 21:45:36 -0400 Subject: [PATCH 162/700] Ring finding code doesn't need to cope with unwanted mappings from to_rdkit_mol The latest change of to_rdkit_mol means that both Molecule and Fragment return the same signature, and the calling code doesn't need to cope with unexpected tuples. --- rmgpy/molecule/molecule.py | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 8834a664812..2b6369f78d9 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2790,13 +2790,11 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): symm_sssr = [] # Get the symmetric SSSR using RDKit - rdkit_result = self.to_rdkit_mol(remove_h=False, sanitize=False, - save_order=True, ignore_bond_orders=True) - - if isinstance(rdkit_result, tuple): # can be a tuple if Fragment version of to_rdkit_mol is used - rdkit_mol = rdkit_result[0] - else: - rdkit_mol = rdkit_result + rdkit_mol = self.to_rdkit_mol(remove_h=False, + sanitize=False, + return_mapping=False, + save_order=True, + ignore_bond_orders=True) ring_info = Chem.GetSymmSSSR(rdkit_mol) for ring in ring_info: @@ -2805,7 +2803,6 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): symm_sssr.append(sorted_ring) return symm_sssr - def get_relevant_cycles(self): """ Returned the "relevant cycles" (RC), as implemented in RingDecomposerLib. From 21484bcb910384e354c5019c71516117f8ad0558 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 11 Oct 2025 22:28:10 -0400 Subject: [PATCH 163/700] Tweak to MoleculeDrawer: don't bother making a Geometry object. The comment suggests it was going through Geometry in order to save the mapping, but this can be done with a direct call to to_rdkit_mol using return_mapping=True. --- rmgpy/molecule/draw.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index 04362aaeaad..1f631238c97 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -377,19 +377,20 @@ def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True): if use_rdkit == True: # Use RDKit 2D coordinate generation: - - # Generate the RDkit molecule from the RDkit molecule, use geometry + # Generate the RDkit molecule from the RDkit molecule, saving mapping # in order to match the atoms in the rdmol with the atoms in the # RMG molecule (which is required to extract coordinates). - self.geometry = Geometry(None, None, self.molecule, None) + rdmol, rd_atom_idx = self.molecule.to_rdkit_mol(remove_h=False, + return_mapping=True, + sanitize="partial") - rdmol, rd_atom_idx = self.geometry.rd_build() AllChem.Compute2DCoords(rdmol) # Extract the coordinates from each atom. + rd_conformer = rdmol.GetConformer(0) for atom in atoms: index = rd_atom_idx[atom] - point = rdmol.GetConformer(0).GetAtomPosition(index) + point = rd_conformer.GetAtomPosition(index) coordinates[index, :] = [point.x * 0.6, point.y * 0.6] # RDKit generates some molecules more vertically than horizontally, From 79adfb3317a444d711f7847d7a2edf457d7cde6f Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 11 Dec 2025 11:21:04 -0500 Subject: [PATCH 164/700] use sssr instead of symmsssr --- rmgpy/molecule/molecule.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 2b6369f78d9..fbc3195d6eb 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2775,12 +2775,13 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): """ Returns the symmetrized smallest set of smallest rings (SSSR) as a list of lists of Atom objects. - Uses RDKit's built-in ring perception (GetSymmSSSR). + Uses RDKit's built-in ring perception (GetSSSR). + Note that this is not the same as the Symmetrized SSSR (GetSymmSSSR). The symmetrized SSSR is at least as large as the SSSR for a molecule. In certain highly-symmetric cases (e.g. cubane), the symmetrized SSSR can be a bit larger (i.e. the number of symmetrized rings is >= NumBonds-NumAtoms+1). It is usually more chemically meaningful, and is less random/arbitrary than the SSSR, - which is non-deterministic in certain cases. + though RMG uses SSSR for historical reasons. """ # RDKit does not support electron if self.is_electron(): @@ -2788,7 +2789,7 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): from rdkit import Chem - symm_sssr = [] + sssr = [] # Get the symmetric SSSR using RDKit rdkit_mol = self.to_rdkit_mol(remove_h=False, sanitize=False, @@ -2796,12 +2797,12 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): save_order=True, ignore_bond_orders=True) - ring_info = Chem.GetSymmSSSR(rdkit_mol) + ring_info = Chem.GetSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) - symm_sssr.append(sorted_ring) - return symm_sssr + sssr.append(sorted_ring) + return sssr def get_relevant_cycles(self): """ From e7338694995c8a52b11eb68fb3b2541be595b7aa Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 11 Dec 2025 11:37:16 -0500 Subject: [PATCH 165/700] disable build isolation for compat with py 3.10 and 3.11 --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index ff7c0770add..93f0c43492e 100644 --- a/setup.py +++ b/setup.py @@ -147,7 +147,7 @@ author_email='rmg_dev@mit.edu', url='http://reactionmechanismgenerator.github.io', python_requires='>=3.9,<3.12', - + setup_requires=['numpy'], packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]), scripts=scripts, entry_points={ From 614059da03c94485b0fd28e8f0e9c88591a5066f Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 11 Dec 2025 11:48:21 -0500 Subject: [PATCH 166/700] explicitly disable build isolation --- Makefile | 2 +- setup.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/Makefile b/Makefile index 1f1997af760..4d51786d4bf 100644 --- a/Makefile +++ b/Makefile @@ -28,7 +28,7 @@ clean-solver: install: @ python utilities.py check-pydas - python -m pip install -vv -e . + python -m pip install --no-build-isolation -vv -e . q2dtor: @ echo -e "\nInstalling Q2DTor...\n" diff --git a/setup.py b/setup.py index 93f0c43492e..dbcdd446a77 100644 --- a/setup.py +++ b/setup.py @@ -147,7 +147,6 @@ author_email='rmg_dev@mit.edu', url='http://reactionmechanismgenerator.github.io', python_requires='>=3.9,<3.12', - setup_requires=['numpy'], packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]), scripts=scripts, entry_points={ From 0c62ddc33ff9478cca6fb850cc583a3a0d27cb5d Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 11 Dec 2025 11:48:53 -0500 Subject: [PATCH 167/700] upper bound python version --- environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment.yml b/environment.yml index 200c853c60c..28ed01dd998 100644 --- a/environment.yml +++ b/environment.yml @@ -58,7 +58,7 @@ dependencies: - conda-forge::rdkit >=2022.09.1 # Python tools - - conda-forge::python >=3.9 # leave as GEQ so that GitHub actions can add EQ w/o breaking (contradictory deps) + - conda-forge::python >=3.9,<3.12 # leave as GEQ so that GitHub actions can add EQ w/o breaking (contradictory deps) - conda-forge::setuptools <80 - conda-forge::coverage - conda-forge::cython >=0.25.2,<3.1 From b0f0bf25a8f72258c2c1b2cf522f881fa87b44a7 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 11 Dec 2025 11:51:11 -0500 Subject: [PATCH 168/700] the `mac0s-13` runner no longer exists --- .github/workflows/CI.yml | 3 --- 1 file changed, 3 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index fefc4304221..6612e81711c 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -68,9 +68,6 @@ jobs: python-version: ["3.9", "3.10", "3.11"] os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] - exclude: - - os: macos-15-intel # GitHub's runners just aren't up to the task of installing Julia - include-rms: 'with RMS' runs-on: ${{ matrix.os }} name: Python ${{ matrix.python-version }} ${{ matrix.os }} Build and Test ${{ matrix.include-rms }} # skip scheduled runs from forks From b81239a53de87c10705e9b6ee45b772bb0078c36 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 10:01:00 -0500 Subject: [PATCH 169/700] refactor to use getsssr, see extended - cache the result of the call to rdkit to avoid remaking the molecule and running the decomposition - use GetSSSR only and deprecate other methods (and do so following conventions correctly) - add a test for the OPTIONAL symmetric SSSR passthrough --- arkane/encorr/isodesmic.py | 2 +- rmgpy/data/solvation.py | 10 +- rmgpy/data/thermo.py | 16 +-- rmgpy/molecule/draw.py | 2 +- rmgpy/molecule/filtration.py | 2 +- rmgpy/molecule/fragment.py | 2 +- rmgpy/molecule/molecule.pxd | 4 +- rmgpy/molecule/molecule.py | 189 +++++----------------------- rmgpy/molecule/resonance.py | 2 +- test/rmgpy/data/thermoTest.py | 12 +- test/rmgpy/molecule/moleculeTest.py | 80 ++++++------ 11 files changed, 95 insertions(+), 226 deletions(-) diff --git a/arkane/encorr/isodesmic.py b/arkane/encorr/isodesmic.py index 75e52e657a7..f4f39d0d85d 100644 --- a/arkane/encorr/isodesmic.py +++ b/arkane/encorr/isodesmic.py @@ -413,7 +413,7 @@ def _get_ring_constraints( self, species: ErrorCancelingSpecies ) -> List[GenericConstraint]: ring_features = [] - rings = species.molecule.get_symmetrized_smallest_set_of_smallest_rings() + rings = species.molecule.get_smallest_set_of_smallest_rings() for ring in rings: ring_features.append(GenericConstraint(constraint_str=f"{len(ring)}_ring")) diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py index c816e13ba79..b95f708f02a 100644 --- a/rmgpy/data/solvation.py +++ b/rmgpy/data/solvation.py @@ -1623,7 +1623,7 @@ def estimate_radical_solute_data_via_hbi(self, molecule, stable_solute_data_esti # Take C1=CC=C([O])C(O)=C1 as an example, we need to remove the interation of OH-OH, then add the interaction of Oj-OH. # For now, we only apply this part to cyclic structure because we only have radical interaction data for aromatic radical. if saturated_struct.is_cyclic(): - sssr = saturated_struct.get_symmetrized_smallest_set_of_smallest_rings() + sssr = saturated_struct.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1631,7 +1631,7 @@ def estimate_radical_solute_data_via_hbi(self, molecule, stable_solute_data_esti saturated_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1707,7 +1707,7 @@ def estimate_halogen_solute_data(self, molecule, stable_solute_data_estimator): # Remove all of the long distance interactions of the replaced structure. Then add the long interactions of the halogenated molecule. if replaced_struct.is_cyclic(): - sssr = replaced_struct.get_symmetrized_smallest_set_of_smallest_rings() + sssr = replaced_struct.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1715,7 +1715,7 @@ def estimate_halogen_solute_data(self, molecule, stable_solute_data_estimator): replaced_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -1799,7 +1799,7 @@ def compute_group_additivity_solute(self, molecule): # In my opinion, it's cleaner to do it in the current way. # WIPWIPWIPWIPWIPWIPWIP ######################################### WIPWIPWIPWIPWIPWIPWIP if cyclic: - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 5e10424fe80..4ea711b0343 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -346,7 +346,7 @@ def is_bicyclic(polyring): returns True if it's a bicyclic, False otherwise """ submol, _ = convert_ring_to_sub_molecule(polyring) - sssr = submol.get_symmetrized_smallest_set_of_smallest_rings() + sssr = submol.get_smallest_set_of_smallest_rings() return len(sssr) == 2 @@ -466,8 +466,8 @@ def is_ring_partial_matched(ring, matched_group): return True else: submol_ring, _ = convert_ring_to_sub_molecule(ring) - sssr = submol_ring.get_symmetrized_smallest_set_of_smallest_rings() - sssr_grp = matched_group.make_sample_molecule().get_symmetrized_smallest_set_of_smallest_rings() + sssr = submol_ring.get_smallest_set_of_smallest_rings() + sssr_grp = matched_group.make_sample_molecule().get_smallest_set_of_smallest_rings() if sorted([len(sr) for sr in sssr]) == sorted([len(sr_grp) for sr_grp in sssr_grp]): return False else: @@ -483,7 +483,7 @@ def bicyclic_decomposition_for_polyring(polyring): """ submol, _ = convert_ring_to_sub_molecule(polyring) - sssr = submol.get_deterministic_sssr() + sssr = submol.get_smallest_set_of_smallest_rings() ring_pair_with_common_atoms_list = [] ring_occurances_dict = {} @@ -555,7 +555,7 @@ def split_bicyclic_into_single_rings(bicyclic_submol): Splits a given bicyclic submolecule into two individual single ring submolecules (a list of `Molecule`s ). """ - sssr = bicyclic_submol.get_deterministic_sssr() + sssr = bicyclic_submol.get_smallest_set_of_smallest_rings() return [convert_ring_to_sub_molecule(sssr[0])[0], convert_ring_to_sub_molecule(sssr[1])[0]] @@ -2141,7 +2141,7 @@ def estimate_radical_thermo_via_hbi(self, molecule, stable_thermo_estimator): # Take C1=CC=C([O])C(O)=C1 as an example, we need to remove the interation of OH-OH, then add the interaction of Oj-OH. # For now, we only apply this part to cyclic structure because we only have radical interaction data for aromatic radical. if saturated_struct.is_cyclic(): - sssr = saturated_struct.get_symmetrized_smallest_set_of_smallest_rings() + sssr = saturated_struct.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -2149,7 +2149,7 @@ def estimate_radical_thermo_via_hbi(self, molecule, stable_thermo_estimator): saturated_struct, {'*1': atomPair[0], '*2': atomPair[1]}) except KeyError: pass - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: @@ -2272,7 +2272,7 @@ def compute_group_additivity_thermo(self, molecule): # In my opinion, it's cleaner to do it in the current way. # WIPWIPWIPWIPWIPWIPWIP ######################################### WIPWIPWIPWIPWIPWIPWIP if cyclic: - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() for ring in sssr: for atomPair in itertools.permutations(ring, 2): try: diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index 1f631238c97..bae31ddd229 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -327,7 +327,7 @@ def _find_ring_groups(self): """ # Find all of the cycles in the molecule - self.cycles = self.molecule.get_symmetrized_smallest_set_of_smallest_rings() + self.cycles = self.molecule.get_smallest_set_of_smallest_rings() self.ringSystems = [] # If the molecule contains cycles, find them and group them diff --git a/rmgpy/molecule/filtration.py b/rmgpy/molecule/filtration.py index 3b435512e02..6fd91a27339 100644 --- a/rmgpy/molecule/filtration.py +++ b/rmgpy/molecule/filtration.py @@ -401,7 +401,7 @@ def aromaticity_filtration(mol_list, features): # Look for structures that don't have standard SDSDSD bond orders for mol in other_list: # Check all 6 membered rings - rings = [ring for ring in mol.get_symmetrized_smallest_set_of_smallest_rings() if len(ring) == 6] + rings = [ring for ring in mol.get_smallest_set_of_smallest_rings() if len(ring) == 6] for ring in rings: bond_list = mol.get_edges_in_cycle(ring) bond_orders = ''.join([bond.get_order_str() for bond in bond_list]) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index c0db0a98f1a..716acfe4fc6 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -596,7 +596,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): AROMATIC = BondType.AROMATIC if rings is None: - rings = self.get_symmetrized_smallest_set_of_smallest_rings() + rings = self.get_smallest_set_of_smallest_rings() rings = [ring for ring in rings if len(ring) == 6] if not rings: return [], [] diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 2c001a46fbf..a67aacaf753 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -307,9 +307,7 @@ cdef class Molecule(Graph): cpdef list get_desorbed_molecules(self) - cpdef list get_smallest_set_of_smallest_rings(self) # deprecated - - cpdef list get_symmetrized_smallest_set_of_smallest_rings(self) + cpdef list get_smallest_set_of_smallest_rings(self) cpdef list get_relevant_cycles(self) # deprecated diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index fbc3195d6eb..a082ec6ef83 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -120,6 +120,8 @@ def __init__(self, element=None, radical_electrons=0, charge=0, label='', lone_p self.coords = coords self.id = id self.props = props or {} + self._sssr = None + self._symm_sssr = None def __str__(self): """ @@ -2197,7 +2199,7 @@ def is_aromatic(self): will not fail for fused aromatic rings. """ cython.declare(rc=list, cycle=list, atom=Atom) - rings = self.get_symmetrized_smallest_set_of_smallest_rings() + rings = self.get_smallest_set_of_smallest_rings() if rings: for cycle in rings: if len(cycle) == 6: @@ -2526,7 +2528,7 @@ def count_aromatic_rings(self): return 0 cython.declare(rings=list, count=int, ring=list, bonds=list, bond=Bond) - rings = self.get_symmetrized_smallest_set_of_smallest_rings() + rings = self.get_smallest_set_of_smallest_rings() count = 0 for ring in rings: if len(ring) != 6: @@ -2564,7 +2566,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): AROMATIC = BondType.AROMATIC if rings is None: - rings = self.get_symmetrized_smallest_set_of_smallest_rings() + rings = self.get_smallest_set_of_smallest_rings() # Remove rings that share more than 3 atoms, since they cannot be planar cython.declare(toRemove=set, j=cython.int, toRemoveSorted=list) @@ -2645,144 +2647,27 @@ def get_aromatic_rings(self, rings=None, save_order=False): return aromatic_rings, aromatic_bonds def get_deterministic_sssr(self): - """ - Sorts calculated cycles by short length and then high atomic number instead of just short length. - Originally created as an alternative to `get_smallest_set_of_smallest_rings` before it was converted - to use only RDKit Functions. - - For instance, previously molecule with this smiles: C1CC2C3CSC(CO3)C2C1, would have non-deterministic - output from `get_smallest_set_of_smallest_rings`, which leads to non-deterministic bicyclic decomposition. - Using this new method can effectively prevent this situation. - - Important Note: This method returns an incorrect set of SSSR in certain molecules (such as cubane). - It is recommended to use the main `Molecule.get_smallest_set_of_smallest_rings` method in new applications. - Alternatively, consider using `Molecule.get_relevant_cycles` for deterministic output. - - In future development, this method should ideally be replaced by some method to select a deterministic - set of SSSR from the set of Relevant Cycles, as that would be a more robust solution. - """ - cython.declare(vertices=list, vertices_to_remove=list, root_candidates_tups=list, graphs=list) - cython.declare(cycle_list=list, cycle_candidate_tups=list, cycles=list, cycle0=list, origin_conn_dict=dict) - - cython.declare(graph=Molecule, graph0=Molecule, vertex=Atom, root_vertex=Atom) - - # Make a copy of the graph so we don't modify the original - graph = self.copy(deep=True) - vertices = graph.vertices[:] - - # Step 1: Remove all terminal vertices - done = False - while not done: - vertices_to_remove = [] - for vertex in graph.vertices: - if len(vertex.edges) == 1: vertices_to_remove.append(vertex) - done = len(vertices_to_remove) == 0 - # Remove identified vertices from graph - for vertex in vertices_to_remove: - graph.remove_vertex(vertex) - - graph.update_connectivity_values() - # get original connectivity values - origin_conn_dict = {} - for v in graph.vertices: - origin_conn_dict[v] = get_vertex_connectivity_value(v) - - # Step 2: Remove all other vertices that are not part of cycles - vertices_to_remove = [] - for vertex in graph.vertices: - found = graph.is_vertex_in_cycle(vertex) - if not found: - vertices_to_remove.append(vertex) - # Remove identified vertices from graph - for vertex in vertices_to_remove: - graph.remove_vertex(vertex) - - # Step 3: Split graph into remaining subgraphs - graphs = graph.split() - - # Step 4: Find ring sets in each subgraph - cycle_list = [] - for graph0 in graphs: - - while len(graph0.vertices) > 0: - - # Choose root vertex as vertex with smallest number of edges - root_vertex = None - graph0.update_connectivity_values() - - root_candidates_tups = [] - for vertex in graph0.vertices: - tup = (vertex, get_vertex_connectivity_value(vertex), -origin_conn_dict[vertex]) - root_candidates_tups.append(tup) - - root_vertex = sorted(root_candidates_tups, key=_skip_first, reverse=True)[0][0] - - # Get all cycles involving the root vertex - cycles = graph0.get_all_cycles(root_vertex) - if len(cycles) == 0: - # This vertex is no longer in a ring, so remove it - graph0.remove_vertex(root_vertex) - continue - - # Keep the smallest of the cycles found above - cycle_candidate_tups = [] - for cycle0 in cycles: - tup = (cycle0, len(cycle0), -sum([origin_conn_dict[v] for v in cycle0]), - -sum([v.element.number for v in cycle0]), - -sum([v.get_total_bond_order() for v in cycle0])) - cycle_candidate_tups.append(tup) - - cycle = sorted(cycle_candidate_tups, key=_skip_first)[0][0] - - cycle_list.append(cycle) - - # Remove the root vertex to create single edges, note this will not - # function properly if there is no vertex with 2 edges (i.e. cubane) - graph0.remove_vertex(root_vertex) - - # Remove from the graph all vertices in the cycle that have only one edge - lone_carbon = True - while lone_carbon: - lone_carbon = False - vertices_to_remove = [] - - for vertex in cycle: - if len(vertex.edges) == 1: - lone_carbon = True - vertices_to_remove.append(vertex) - else: - for vertex in vertices_to_remove: - graph0.remove_vertex(vertex) - - # Map atoms in cycles back to atoms in original graph - for i in range(len(cycle_list)): - cycle_list[i] = [self.vertices[vertices.index(v)] for v in cycle_list[i]] - - return cycle_list - - def get_smallest_set_of_smallest_rings(self): - """ - Returned the strictly smallest set of smallest rings (SSSR). - - Removed in favor of RDKit's Symmetrized SSSR perception, which - is less arbitrary, more chemically meaningful, and more consistent. - Use get_symmetrized_smallest_set_of_smallest_rings instead. - """ - raise NotImplementedError("Smallest Set of Smallest Rings is not implemented. " - "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + raise RuntimeError("'get_deterministic_sssr' is deprecated. Use get_smallest_set_of_smallest_rings instead.") - def get_symmetrized_smallest_set_of_smallest_rings(self): + def get_smallest_set_of_smallest_rings(self, symmetrized=False): """ - Returns the symmetrized smallest set of smallest rings (SSSR) as a list of lists of Atom objects. + Returns the smallest set of smallest rings (SSSR) as a list of lists of Atom objects, optionally with symmetrization. - Uses RDKit's built-in ring perception (GetSSSR). - Note that this is not the same as the Symmetrized SSSR (GetSymmSSSR). + Uses RDKit's built-in ring perception (GetSSSR) by default. + Note that this is not the same as the Symmetrized SSSR (GetSymmSSSR) with symmetrized=True. The symmetrized SSSR is at least as large as the SSSR for a molecule. In certain highly-symmetric cases (e.g. cubane), the symmetrized SSSR can be a bit larger (i.e. the number of symmetrized rings is >= NumBonds-NumAtoms+1). It is usually more chemically meaningful, and is less random/arbitrary than the SSSR, though RMG uses SSSR for historical reasons. """ + if symmetrized: + if self._symm_sssr is not None: + return self._symm_sssr + else: + if self._sssr is not None: + return self._sssr + # RDKit does not support electron if self.is_electron(): return [] @@ -2797,7 +2682,10 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): save_order=True, ignore_bond_orders=True) - ring_info = Chem.GetSSSR(rdkit_mol) + if symmetrized: + ring_info = Chem.GetSymmSSSR(rdkit_mol) + else: + ring_info = Chem.GetSSSR(rdkit_mol) for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) @@ -2805,32 +2693,13 @@ def get_symmetrized_smallest_set_of_smallest_rings(self): return sssr def get_relevant_cycles(self): - """ - Returned the "relevant cycles" (RC), as implemented in RingDecomposerLib. - - Deprecated when RingDecomposerLib was removed. - Now we are using methods that use RDKit, in the Molecule class. - Namely get_symmetrized_smallest_set_of_smallest_rings. - - References: - Kolodzik, A.; Urbaczek, S.; Rarey, M. - Unique Ring Families: A Chemically Meaningful Description - of Molecular Ring Topologies. - J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021 - - Flachsenberg, F.; Andresen, N.; Rarey, M. - RingDecomposerLib: An Open-Source Implementation of - Unique Ring Families and Other Cycle Bases. - J. Chem. Inf. Model., 2017, 57 (2), pp 122-126 - """ - raise NotImplementedError("'Relevant Cycles' are not implemented. " - "Use get_symmetrized_smallest_set_of_smallest_rings instead.") + raise RuntimeError("'get_relevant_cycles' is deprecated. Use get_smallest_set_of_smallest_rings instead.") def get_all_polycyclic_vertices(self): """ Return all vertices belonging to two or more cycles, fused or spirocyclic. """ - sssr = self.get_symmetrized_smallest_set_of_smallest_rings() + sssr = self.get_smallest_set_of_smallest_rings() # Todo: could get RDKit to do this directly, since we're going via RDKit. polycyclic_vertices = [] if sssr: @@ -2852,9 +2721,7 @@ def get_polycycles(self): Cycles which are not polycyclic are not returned. """ # Todo: if we're now using RDKit for ring detection anyway, we might be able to use it to do more of this method. - - # Now using symmetrized SSSR not strictly smallest SSSR. Hopefully this works the same? - sssr = self.get_symmetrized_smallest_set_of_smallest_rings() + sssr = self.get_smallest_set_of_smallest_rings() if not sssr: return [] @@ -2890,14 +2757,14 @@ def get_monocycles(self): """ Return a list of cycles that are monocyclic. """ - sssr = self.get_symmetrized_smallest_set_of_smallest_rings() + sssr = self.get_smallest_set_of_smallest_rings() if not sssr: return [] polycyclic_vertices = self.get_all_polycyclic_vertices() if not polycyclic_vertices: - # No polycyclic_vertices detected, all the rings from get_symmetrized_smallest_set_of_smallest_rings + # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings # are monocyclic return sssr @@ -2921,7 +2788,7 @@ def get_disparate_cycles(self): Returns: monocyclic_cycles, polycyclic_cycles """ - rings = self.get_symmetrized_smallest_set_of_smallest_rings() + rings = self.get_smallest_set_of_smallest_rings() if not rings: return [], [] @@ -2996,7 +2863,7 @@ def get_max_cycle_overlap(self): cycles, it is two; and if there are "bridged" cycles, it is three. """ - cycles = self.get_symmetrized_smallest_set_of_smallest_rings() + cycles = self.get_smallest_set_of_smallest_rings() max_overlap = 0 for i, j in itertools.combinations(range(len(cycles)), 2): overlap = len(set(cycles[i]) & set(cycles[j])) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index 39b2fa1ed03..577d7088931 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -777,7 +777,7 @@ def generate_aryne_resonance_structures(mol): i=cython.int, j=cython.int, bond_orders=str, new_orders=str, ind=cython.int, bond=Edge, new_mol=Graph) - rings = mol.get_symmetrized_smallest_set_of_smallest_rings() + rings = mol.get_smallest_set_of_smallest_rings() rings = [ring for ring in rings if len(ring) == 6] new_mol_list = [] diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index 694b38893f2..a7c11e9fcd2 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -1723,7 +1723,7 @@ def test_add_poly_ring_correction_thermo_data_from_heuristic_using_pyrene(self): spe.generate_resonance_structures() mols = [] for mol in spe.molecule: - sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr0 = mol.get_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -1772,7 +1772,7 @@ def test_add_poly_ring_correction_thermo_data_from_heuristic_using_aromatic_tric spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr0 = mol.get_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -2050,7 +2050,7 @@ def test_combine_two_rings_into_sub_molecule(self): mol1 = Molecule().from_smiles(smiles1) # get two SSSRs - sssr = mol1.get_symmetrized_smallest_set_of_smallest_rings() + sssr = mol1.get_smallest_set_of_smallest_rings() ring1 = sssr[0] ring2 = sssr[1] @@ -2127,7 +2127,7 @@ def test_find_aromatic_bonds_from_sub_molecule(self): mol = spe.molecule[0] # get two SSSRs - sssr = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr = mol.get_smallest_set_of_smallest_rings() ring1 = sssr[0] ring2 = sssr[1] @@ -2151,7 +2151,7 @@ def test_bicyclic_decomposition_for_polyring_using_pyrene(self): spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr0 = mol.get_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) @@ -2200,7 +2200,7 @@ def test_bicyclic_decomposition_for_polyring_using_aromatic_tricyclic(self): spe = Species().from_smiles(smiles) spe.generate_resonance_structures() for mol in spe.molecule: - sssr0 = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr0 = mol.get_smallest_set_of_smallest_rings() aromatic_ring_num = 0 for sr0 in sssr0: sr0mol = Molecule(atoms=sr0) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 58e5cc58a50..4f9ddfecb93 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -1544,13 +1544,13 @@ def test_remove_h_bonds(self): def test_sssr(self): """ - Test the Molecule.get_symmetrized_smallest_set_of_smallest_rings() method with a complex + Test the Molecule.get_smallest_set_of_smallest_rings() method with a complex polycyclic molecule. """ molecule = Molecule() molecule.from_smiles("C(CC1C(C(CCCCCCCC)C1c1ccccc1)c1ccccc1)CCCCCC") # http://cactus.nci.nih.gov/chemical/structure/C(CC1C(C(CCCCCCCC)C1c1ccccc1)c1ccccc1)CCCCCC/image - sssr = molecule.get_symmetrized_smallest_set_of_smallest_rings() + sssr = molecule.get_smallest_set_of_smallest_rings() assert len(sssr) == 3 def test_is_in_cycle_ethane(self): @@ -2411,42 +2411,71 @@ def test_get_disparate_rings(self): assert len(polyrings) == 1 assert len(polyrings[0]) == 10 - def test_get_symmetrized_smallest_set_of_smallest_rings(self): + def test_get_smallest_set_of_smallest_rings(self): """ Test that SSSR within a molecule are returned properly in the function - `Molecule().get_symmetrized_smallest_set_of_smallest_rings()` + `Molecule().get_smallest_set_of_smallest_rings()` """ m1 = Molecule(smiles="C12CCC1C3CC2CC3") - sssr1 = m1.get_symmetrized_smallest_set_of_smallest_rings() + sssr1 = m1.get_smallest_set_of_smallest_rings() sssr1_sizes = sorted([len(ring) for ring in sssr1]) sssr1_sizes_expected = [4, 5, 5] assert sssr1_sizes == sssr1_sizes_expected m2 = Molecule(smiles="C1(CC2)C(CC3)CC3C2C1") - sssr2 = m2.get_symmetrized_smallest_set_of_smallest_rings() + sssr2 = m2.get_smallest_set_of_smallest_rings() sssr2_sizes = sorted([len(ring) for ring in sssr2]) sssr2_sizes_expected = [5, 5, 6] assert sssr2_sizes == sssr2_sizes_expected m3 = Molecule(smiles="C1(CC2)C2C(CCCC3)C3C1") - sssr3 = m3.get_symmetrized_smallest_set_of_smallest_rings() + sssr3 = m3.get_smallest_set_of_smallest_rings() sssr3_sizes = sorted([len(ring) for ring in sssr3]) sssr3_sizes_expected = [4, 5, 6] assert sssr3_sizes == sssr3_sizes_expected m4 = Molecule(smiles="C12=CC=CC=C1C3=C2C=CC=C3") - sssr4 = m4.get_symmetrized_smallest_set_of_smallest_rings() + sssr4 = m4.get_smallest_set_of_smallest_rings() sssr4_sizes = sorted([len(ring) for ring in sssr4]) sssr4_sizes_expected = [4, 6, 6] assert sssr4_sizes == sssr4_sizes_expected m5 = Molecule(smiles="C12=CC=CC=C1CC3=C(C=CC=C3)C2") - sssr5 = m5.get_symmetrized_smallest_set_of_smallest_rings() + sssr5 = m5.get_smallest_set_of_smallest_rings() sssr5_sizes = sorted([len(ring) for ring in sssr5]) sssr5_sizes_expected = [6, 6, 6] assert sssr5_sizes == sssr5_sizes_expected + mol = Molecule(smiles="CCCC") + cycle_list = mol.get_smallest_set_of_smallest_rings() + assert len(cycle_list) == 0 + + # Create a cycle of length 4 + mol = Molecule(smiles="C1CCC1") + cycle_list = mol.get_smallest_set_of_smallest_rings() + assert len(cycle_list) == 1 + assert len(cycle_list[0]) == 4 + + # Create a bridged tricyclic + mol = Molecule(smiles="C1C(C)CC2CC1C=C3C2CCC3") + cycle_list = mol.get_smallest_set_of_smallest_rings() + assert len(cycle_list) == 3 + assert len(cycle_list[0]) == 5 + + # Test cubane - see: + # https://www.rdkit.org/docs/GettingStartedInPython.html#the-sssr-problem + # for why this test is the way it is + mol = Molecule(smiles="C12C3C4C1C5C2C3C45") + cycle_list = mol.get_smallest_set_of_smallest_rings() + assert len(cycle_list) == 5 # unsatisfying number, but 'true' + for cycle in cycle_list: + assert len(cycle) == 4 + + cycle_list = mol.get_smallest_set_of_smallest_rings(symmetrized=True) + assert len(cycle_list) == 6 # satisfying, but no longer the 'true' SSSR + + @pytest.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case1(self): """ Test fused tricyclic can be decomposed into single rings more @@ -2476,6 +2505,7 @@ def test_get_deterministic_smallest_set_of_smallest_rings_case1(self): assert num_shared_atoms_list == previous_num_shared_atoms_list previous_num_shared_atoms_list = num_shared_atoms_list + @pytest.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case2(self): """ Test if two possible smallest rings can join the smallest set @@ -2506,6 +2536,7 @@ def test_get_deterministic_smallest_set_of_smallest_rings_case2(self): assert atom_symbols_list == previous_atom_symbols_list previous_atom_symbols_list = atom_symbols_list + @pytest.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case3(self): """ Test if two possible smallest rings can join the smallest set @@ -3057,33 +3088,6 @@ def test_remove_van_der_waals_bonds(self): mol.remove_van_der_waals_bonds() assert len(mol.get_all_edges()) == 1 - def test_get_symmetrized_smallest_set_of_smallest_rings(self): - """ - Test the Molecule.get_symmetrized_smallest_set_of_smallest_rings() method. - """ - mol = Molecule(smiles="CCCC") - cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() - assert len(cycle_list) == 0 - - # Create a cycle of length 4 - mol = Molecule(smiles="C1CCC1") - cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() - assert len(cycle_list) == 1 - assert len(cycle_list[0]) == 4 - - # Create a bridged tricyclic - mol = Molecule(smiles="C1C(C)CC2CC1C=C3C2CCC3") - cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() - assert len(cycle_list) == 3 - assert len(cycle_list[0]) == 5 - - # Test cubane - mol = Molecule(smiles="C12C3C4C1C5C2C3C45") - cycle_list = mol.get_symmetrized_smallest_set_of_smallest_rings() - assert len(cycle_list) == 6 - for cycle in cycle_list: - assert len(cycle) == 4 - def test_get_relevant_cycles(self): """ Test the Molecule.get_relevant_cycles() raises correct error after deprecation. @@ -3094,7 +3098,7 @@ def test_get_relevant_cycles(self): def test_cycle_list_order_sssr(self): """ - Test that get_symmetrized_smallest_set_of_smallest_rings return vertices in the proper order. + Test that get_smallest_set_of_smallest_rings return vertices in the proper order. There are methods such as symmetry and molecule drawing which rely on the fact that subsequent list entries are connected. @@ -3102,7 +3106,7 @@ def test_cycle_list_order_sssr(self): # Create a cycle of length 5 mol = Molecule(smiles="C1CCCC1") # Test SSSR - sssr = mol.get_symmetrized_smallest_set_of_smallest_rings() + sssr = mol.get_smallest_set_of_smallest_rings() assert len(sssr) == 1 assert len(sssr[0]) == 5 for i in range(5): From ac6db4c907c1159fbe84b6104c31827f9046cd17 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 10:03:56 -0500 Subject: [PATCH 170/700] update header --- rmgpy/molecule/molecule.pxd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index a67aacaf753..aa53369ca92 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -307,7 +307,7 @@ cdef class Molecule(Graph): cpdef list get_desorbed_molecules(self) - cpdef list get_smallest_set_of_smallest_rings(self) + cpdef list get_smallest_set_of_smallest_rings(self, bint symmetrized=?) cpdef list get_relevant_cycles(self) # deprecated From a1cc575d0bd7de1ab29c74ae344bc015e33b8048 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 10:22:29 -0500 Subject: [PATCH 171/700] reminder to self: engage brain before adding attributes --- rmgpy/molecule/molecule.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index a082ec6ef83..be89aaa73cf 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -120,8 +120,6 @@ def __init__(self, element=None, radical_electrons=0, charge=0, label='', lone_p self.coords = coords self.id = id self.props = props or {} - self._sssr = None - self._symm_sssr = None def __str__(self): """ @@ -1036,6 +1034,8 @@ def __init__(self, atoms=None, symmetry=-1, multiplicity=-187, reactive=True, pr self.props = props or {} self.metal = metal self.facet = facet + self._sssr = None + self._symm_sssr = None if inchi and smiles: logging.warning('Both InChI and SMILES provided for Molecule instantiation, ' From 47bd1baae10c90734d697750c00bce17a57bf2f3 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 10:44:58 -0500 Subject: [PATCH 172/700] change attr setting --- rmgpy/molecule/molecule.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index be89aaa73cf..d0097b4ae80 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1034,8 +1034,6 @@ def __init__(self, atoms=None, symmetry=-1, multiplicity=-187, reactive=True, pr self.props = props or {} self.metal = metal self.facet = facet - self._sssr = None - self._symm_sssr = None if inchi and smiles: logging.warning('Both InChI and SMILES provided for Molecule instantiation, ' @@ -2662,10 +2660,10 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): though RMG uses SSSR for historical reasons. """ if symmetrized: - if self._symm_sssr is not None: + if hasattr(self, "_symm_sssr"): return self._symm_sssr else: - if self._sssr is not None: + if hasattr(self, "_sssr"): return self._sssr # RDKit does not support electron @@ -2690,6 +2688,10 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) + if symmetrized: + setattr(self, "_symm_sssr", sssr) + else: + setattr(self, "_sssr", sssr) return sssr def get_relevant_cycles(self): From 9b441a9b7904a54f0e55cec89d967b7a77c3ae52 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 10:54:41 -0500 Subject: [PATCH 173/700] update header for cache so attribute is allocated --- rmgpy/molecule/molecule.pxd | 2 ++ rmgpy/molecule/molecule.py | 10 ++++++---- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index aa53369ca92..58365e7184f 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -158,6 +158,8 @@ cdef class Molecule(Graph): cdef public int multiplicity cdef public bint reactive cdef public dict props + cdef public list _symm_sssr + cdef public list _sssr cdef public str metal cdef public str facet cdef str _fingerprint diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index d0097b4ae80..159f13736a9 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1034,6 +1034,8 @@ def __init__(self, atoms=None, symmetry=-1, multiplicity=-187, reactive=True, pr self.props = props or {} self.metal = metal self.facet = facet + self._sssr = None + self._symm_sssr = None if inchi and smiles: logging.warning('Both InChI and SMILES provided for Molecule instantiation, ' @@ -2660,10 +2662,10 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): though RMG uses SSSR for historical reasons. """ if symmetrized: - if hasattr(self, "_symm_sssr"): + if self._symm_sssr is not None: return self._symm_sssr else: - if hasattr(self, "_sssr"): + if self._sssr is not None: return self._sssr # RDKit does not support electron @@ -2689,9 +2691,9 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) if symmetrized: - setattr(self, "_symm_sssr", sssr) + self._symm_sssr = sssr else: - setattr(self, "_sssr", sssr) + self._sssr = sssr return sssr def get_relevant_cycles(self): From 7d51f094078c9ab6e0a821f6192c61689a0b1498 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 12 Dec 2025 12:04:13 -0500 Subject: [PATCH 174/700] fix pytest syntax --- test/rmgpy/molecule/moleculeTest.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 4f9ddfecb93..91fe2b5ab97 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2475,7 +2475,7 @@ def test_get_smallest_set_of_smallest_rings(self): cycle_list = mol.get_smallest_set_of_smallest_rings(symmetrized=True) assert len(cycle_list) == 6 # satisfying, but no longer the 'true' SSSR - @pytest.skip("get_deterministic_sssr is deprecated") + @pytest.mark.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case1(self): """ Test fused tricyclic can be decomposed into single rings more @@ -2505,7 +2505,7 @@ def test_get_deterministic_smallest_set_of_smallest_rings_case1(self): assert num_shared_atoms_list == previous_num_shared_atoms_list previous_num_shared_atoms_list = num_shared_atoms_list - @pytest.skip("get_deterministic_sssr is deprecated") + @pytest.mark.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case2(self): """ Test if two possible smallest rings can join the smallest set @@ -2536,7 +2536,7 @@ def test_get_deterministic_smallest_set_of_smallest_rings_case2(self): assert atom_symbols_list == previous_atom_symbols_list previous_atom_symbols_list = atom_symbols_list - @pytest.skip("get_deterministic_sssr is deprecated") + @pytest.mark.skip("get_deterministic_sssr is deprecated") def test_get_deterministic_smallest_set_of_smallest_rings_case3(self): """ Test if two possible smallest rings can join the smallest set From 963bf3b14153c32d0e9f9a0ba109c87458514fec Mon Sep 17 00:00:00 2001 From: Jackson Burns Date: Fri, 13 Feb 2026 10:41:05 -0500 Subject: [PATCH 175/700] update expected error type --- test/rmgpy/molecule/moleculeTest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 91fe2b5ab97..2e3db50a749 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3093,7 +3093,7 @@ def test_get_relevant_cycles(self): Test the Molecule.get_relevant_cycles() raises correct error after deprecation. """ mol = Molecule(smiles="CCCC") - with pytest.raises(NotImplementedError): + with pytest.raises(RuntimeError): mol.get_relevant_cycles() def test_cycle_list_order_sssr(self): From 6d28239134b61258a64e33697837d16a5e8d1768 Mon Sep 17 00:00:00 2001 From: Jackson Burns Date: Fri, 13 Feb 2026 12:23:56 -0500 Subject: [PATCH 176/700] install pyjuliacall after installing rms, which allows flexible PythonCall version setting --- install_rms.sh | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 70e10c6f886..43464e8dd0f 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -113,8 +113,6 @@ export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" -conda install -y conda-forge::pyjuliacall - echo "Environment variables referencing JULIA:" env | grep JULIA @@ -181,6 +179,9 @@ if [ $julia_status -ne 0 ]; then return $julia_status fi +# this makes the above RMS installation available to Python +conda install -y conda-forge::pyjuliacall + echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." python << EOF From 31ccba266dedacda4f28446a9d609f04e9dfb2bb Mon Sep 17 00:00:00 2001 From: Jackson Burns Date: Fri, 13 Feb 2026 13:31:05 -0500 Subject: [PATCH 177/700] setup python side of RMS after complete rms install done --- install_rms.sh | 31 +++++++++++++++---------------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 43464e8dd0f..56071170d72 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -116,21 +116,6 @@ export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" echo "Environment variables referencing JULIA:" env | grep JULIA -# Initialize the Julia environment from Python using juliacall -python << EOF || return 1 -import sys -try: - from juliacall import Main - Main.seval('println("Active Julia environment: ", Base.active_project())') - Main.seval('println("Julia load path: ", Base.load_path())') - Main.seval('using Pkg') - Main.seval('Pkg.status()') -except Exception as e: - print("❌ Error while initializing Julia environment:") - print(e) - sys.exit(1) -EOF - # Install RMS if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then echo "Installing RMS from branch: $RMS_BRANCH" @@ -179,9 +164,23 @@ if [ $julia_status -ne 0 ]; then return $julia_status fi -# this makes the above RMS installation available to Python conda install -y conda-forge::pyjuliacall +# Initialize the Julia environment from Python using juliacall +python << EOF || return 1 +import sys +try: + from juliacall import Main + Main.seval('println("Active Julia environment: ", Base.active_project())') + Main.seval('println("Julia load path: ", Base.load_path())') + Main.seval('using Pkg') + Main.seval('Pkg.status()') +except Exception as e: + print("❌ Error while initializing Julia environment:") + print(e) + sys.exit(1) +EOF + echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." python << EOF From c542d71e5f03045b7d24b65d7c5479b143a2c1fe Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 17 Feb 2026 22:31:59 -0500 Subject: [PATCH 178/700] revert changes to rms install script --- install_rms.sh | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/install_rms.sh b/install_rms.sh index 56071170d72..70e10c6f886 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -113,9 +113,26 @@ export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" +conda install -y conda-forge::pyjuliacall + echo "Environment variables referencing JULIA:" env | grep JULIA +# Initialize the Julia environment from Python using juliacall +python << EOF || return 1 +import sys +try: + from juliacall import Main + Main.seval('println("Active Julia environment: ", Base.active_project())') + Main.seval('println("Julia load path: ", Base.load_path())') + Main.seval('using Pkg') + Main.seval('Pkg.status()') +except Exception as e: + print("❌ Error while initializing Julia environment:") + print(e) + sys.exit(1) +EOF + # Install RMS if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then echo "Installing RMS from branch: $RMS_BRANCH" @@ -164,23 +181,6 @@ if [ $julia_status -ne 0 ]; then return $julia_status fi -conda install -y conda-forge::pyjuliacall - -# Initialize the Julia environment from Python using juliacall -python << EOF || return 1 -import sys -try: - from juliacall import Main - Main.seval('println("Active Julia environment: ", Base.active_project())') - Main.seval('println("Julia load path: ", Base.load_path())') - Main.seval('using Pkg') - Main.seval('Pkg.status()') -except Exception as e: - print("❌ Error while initializing Julia environment:") - print(e) - sys.exit(1) -EOF - echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..." python << EOF From 72552fb41a16811f87c043eec40667353f5c1908 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 17 Feb 2026 22:43:21 -0500 Subject: [PATCH 179/700] returns copies of cached sssr to avoid overwriting --- rmgpy/molecule/molecule.pxd | 2 +- rmgpy/molecule/molecule.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 58365e7184f..537dce7bf9f 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -159,7 +159,7 @@ cdef class Molecule(Graph): cdef public bint reactive cdef public dict props cdef public list _symm_sssr - cdef public list _sssr + cdef public tuple _sssr cdef public str metal cdef public str facet cdef str _fingerprint diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 159f13736a9..3eee8cbb64b 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2663,10 +2663,10 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): """ if symmetrized: if self._symm_sssr is not None: - return self._symm_sssr + return list(self._symm_sssr) else: if self._sssr is not None: - return self._sssr + return list(self._sssr) # RDKit does not support electron if self.is_electron(): @@ -2691,9 +2691,9 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) if symmetrized: - self._symm_sssr = sssr + self._symm_sssr = tuple(sssr) else: - self._sssr = sssr + self._sssr = tuple(sssr) return sssr def get_relevant_cycles(self): From 861df8e37f3e85a663a37b1d3bdf2adc8de091b7 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 17 Feb 2026 22:56:33 -0500 Subject: [PATCH 180/700] addendum to previous commit --- rmgpy/molecule/molecule.pxd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 537dce7bf9f..a7f13e6ce42 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -158,7 +158,7 @@ cdef class Molecule(Graph): cdef public int multiplicity cdef public bint reactive cdef public dict props - cdef public list _symm_sssr + cdef public tuple _symm_sssr cdef public tuple _sssr cdef public str metal cdef public str facet From 36edda3b0fd2525cedbb620c5b0da9b427715b3a Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 17 Feb 2026 23:30:23 -0500 Subject: [PATCH 181/700] [DROPME] use temp rms branch --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 6612e81711c..9e6c7355245 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -53,7 +53,7 @@ env: # main with the name of the branch RMG_DATABASE_BRANCH: main # RMS branch to use for ReactionMechanismSimulator installation - RMS_BRANCH: for_rmg + RMS_BRANCH: for_rmg-pythoncall_py311 # RMS mode used for install_rms.sh RMS_INSTALLER: continuous # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial From 9350fb790677577729f4f7c549b8777d06cf14a9 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Tue, 24 Feb 2026 14:16:07 -0500 Subject: [PATCH 182/700] Apply suggestions from code review Co-authored-by: Nathan Morgan --- rmgpy/molecule/draw.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index bae31ddd229..2b50e317d8f 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -377,7 +377,7 @@ def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True): if use_rdkit == True: # Use RDKit 2D coordinate generation: - # Generate the RDkit molecule from the RDkit molecule, saving mapping + # Generate the RDkit molecule from the RMG molecule, saving mapping # in order to match the atoms in the rdmol with the atoms in the # RMG molecule (which is required to extract coordinates). rdmol, rd_atom_idx = self.molecule.to_rdkit_mol(remove_h=False, @@ -394,8 +394,8 @@ def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True): coordinates[index, :] = [point.x * 0.6, point.y * 0.6] # RDKit generates some molecules more vertically than horizontally, - # Especially linear ones. This will reflect any molecule taller than - # it is wide across the line y=x + # especially linear ones. This will reflect any molecule taller than + # it is wide across the line y=x. ranges = np.ptp(coordinates, axis=0) if ranges[1] > ranges[0]: temp = np.copy(coordinates) From c6fd52fc9df6a11650cdc22c102c3c2e239b9927 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 14:40:37 -0500 Subject: [PATCH 183/700] explain why partial is needed see: https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2796#discussion_r2843065404 --- rmgpy/molecule/draw.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index 2b50e317d8f..c6931e46ea6 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -380,6 +380,13 @@ def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True): # Generate the RDkit molecule from the RMG molecule, saving mapping # in order to match the atoms in the rdmol with the atoms in the # RMG molecule (which is required to extract coordinates). + # + # partial sanitization is used to allow molecules to fail RDKit's + # bond order and implicit hydrogen assignments, and possibly also + # RDKit's aromaticity perception, while still drawing the molecule. + # this can happen because RMG uses partial bond orders and atom types + # that RDKit doesn't understand, though RDKit can still generate + # coordinates for the molecule. rdmol, rd_atom_idx = self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True, sanitize="partial") From 677dc51b69fd198e9939a910523d32555bc9f96e Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 14:43:12 -0500 Subject: [PATCH 184/700] undo change to url --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index dbcdd446a77..5d803202c53 100644 --- a/setup.py +++ b/setup.py @@ -145,7 +145,7 @@ description='Reaction Mechanism Generator', author='William H. Green and the RMG Team', author_email='rmg_dev@mit.edu', - url='http://reactionmechanismgenerator.github.io', + url='https://reactionmechanismgenerator.github.io', python_requires='>=3.9,<3.12', packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]), scripts=scripts, From a3c19bb4b7b3216fa999e0cfc29a20b6197e8948 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 14:58:14 -0500 Subject: [PATCH 185/700] remove unused/broken `*args` see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2796#discussion_r2849258640 for more information --- rmgpy/molecule/fragment.py | 3 +-- rmgpy/molecule/molecule.py | 4 ++-- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 716acfe4fc6..fd2563bd331 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -490,7 +490,7 @@ def get_formula(self): return formula - def to_rdkit_mol(self, *args, **kwargs): + def to_rdkit_mol(self, **kwargs): """ Convert a Fragment structure to a RDKit rdmol object. @@ -514,7 +514,6 @@ def to_rdkit_mol(self, *args, **kwargs): new_kwargs["save_order"] = True # override user if needed rdmol, molecule_to_rdindex_mapping = converter.to_rdkit_mol( representative_molecule, - *args, **new_kwargs ) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 3eee8cbb64b..5c55dc6a275 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2049,7 +2049,7 @@ def to_smiles(self): return translator.to_smiles(self) - def to_rdkit_mol(self, *args, **kwargs): + def to_rdkit_mol(self, **kwargs): """ Convert a molecular structure to a RDKit rdmol object. """ @@ -2057,7 +2057,7 @@ def to_rdkit_mol(self, *args, **kwargs): if self.is_electron(): raise ValueError("Cannot convert electron molecule to RDKit Mol object") - return converter.to_rdkit_mol(self, *args, **kwargs) + return converter.to_rdkit_mol(self, **kwargs) def to_adjacency_list(self, label='', remove_h=False, remove_lone_pairs=False, old_style=False): """ From 8d5340c41a4c92a5570531e3e4a242beb1cd6b46 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 14:59:34 -0500 Subject: [PATCH 186/700] add justification for sanitization --- rmgpy/qm/molecule.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/rmgpy/qm/molecule.py b/rmgpy/qm/molecule.py index 3c6009601ac..238871a21e7 100644 --- a/rmgpy/qm/molecule.py +++ b/rmgpy/qm/molecule.py @@ -147,6 +147,11 @@ def rd_build(self): """ Import rmg molecule and create rdkit molecule with the same atom labeling. """ + # sanitize="partial" is used to allow molecules to fail RDKit's bond order and implicit + # hydrogen assignments, and possibly also RDKit's aromaticity perception, while still + # generating a molecule. This can happen because RMG uses partial bond orders and atom + # types that RDKit doesn't understand, though RDKit can still generate coordinates for + # the molecule, which is really all that's needed here. return self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True, sanitize="partial") def rd_embed(self, rdmol, num_conf_attempts): From a48625a14052363567a1258205f54d853b753186 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 15:02:06 -0500 Subject: [PATCH 187/700] remove deprecated tests which are always skipped see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2796#discussion_r2843320398 --- test/rmgpy/molecule/moleculeTest.py | 93 ----------------------------- 1 file changed, 93 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 2e3db50a749..a44fdab06eb 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2475,99 +2475,6 @@ def test_get_smallest_set_of_smallest_rings(self): cycle_list = mol.get_smallest_set_of_smallest_rings(symmetrized=True) assert len(cycle_list) == 6 # satisfying, but no longer the 'true' SSSR - @pytest.mark.skip("get_deterministic_sssr is deprecated") - def test_get_deterministic_smallest_set_of_smallest_rings_case1(self): - """ - Test fused tricyclic can be decomposed into single rings more - deterministically - """ - smiles = "C1C2C3C=CCCC2C13" - - previous_num_shared_atoms_list = None - # repeat 100 time to test non-deterministic behavior - for _ in range(100): - mol = Molecule().from_smiles(smiles) - sssr_det = mol.get_deterministic_sssr() - - num_shared_atoms_list = [] - for i, ring_i in enumerate(sssr_det): - for j in range(i + 1, len(sssr_det)): - ring_j = sssr_det[j] - num_shared_atoms = len(set(ring_i).intersection(ring_j)) - - num_shared_atoms_list.append(num_shared_atoms) - - num_shared_atoms_list = sorted(num_shared_atoms_list) - - if previous_num_shared_atoms_list is None: - previous_num_shared_atoms_list = num_shared_atoms_list - continue - assert num_shared_atoms_list == previous_num_shared_atoms_list - previous_num_shared_atoms_list = num_shared_atoms_list - - @pytest.mark.skip("get_deterministic_sssr is deprecated") - def test_get_deterministic_smallest_set_of_smallest_rings_case2(self): - """ - Test if two possible smallest rings can join the smallest set - the method can pick one of them deterministically using sum of - atomic numbers along the rings. - In this test case and with currect method setup, ring (CCSCCCCC) - will be picked rather than ring(CCCOCC). - """ - - smiles = "C1=CC2C3CSC(CO3)C2C1" - - previous_atom_symbols_list = None - # repeat 100 time to test non-deterministic behavior - for _ in range(100): - mol = Molecule().from_smiles(smiles) - sssr_det = mol.get_deterministic_sssr() - - atom_symbols_list = [] - for ring in sssr_det: - atom_symbols = sorted([a.element.symbol for a in ring]) - atom_symbols_list.append(atom_symbols) - - atom_symbols_list = sorted(atom_symbols_list) - - if previous_atom_symbols_list is None: - previous_atom_symbols_list = atom_symbols_list - continue - assert atom_symbols_list == previous_atom_symbols_list - previous_atom_symbols_list = atom_symbols_list - - @pytest.mark.skip("get_deterministic_sssr is deprecated") - def test_get_deterministic_smallest_set_of_smallest_rings_case3(self): - """ - Test if two possible smallest rings can join the smallest set - the method can pick one of them deterministically when their - sum of atomic numbers along the rings are also equal to each other. - - To break the tie, one option we have is to consider adding contributions - from other parts of the molecule, such as atomic number weighted connectivity - value and differentiate bond orders when calculating connectivity values. - """ - smiles = "C=1CC2C3CSC(O[Si]3)C2C1" - - previous_atom_symbols_list = None - # repeat 100 time to test non-deterministic behavior - for _ in range(100): - mol = Molecule().from_smiles(smiles) - sssr_det = mol.get_deterministic_sssr() - - atom_symbols_list = [] - for ring in sssr_det: - atom_symbols = sorted([a.element.symbol for a in ring]) - atom_symbols_list.append(atom_symbols) - - atom_symbols_list = sorted(atom_symbols_list) - - if previous_atom_symbols_list is None: - previous_atom_symbols_list = atom_symbols_list - continue - assert atom_symbols_list == previous_atom_symbols_list - previous_atom_symbols_list = atom_symbols_list - def test_to_group(self): """ Test if we can convert a Molecule object into a Group object. From 5d9bdd9fde86ab75ef8c0c8fbb9c1edb5dadb342 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 15:41:08 -0500 Subject: [PATCH 188/700] test actual vertices, rather than just that they are detected at all --- test/rmgpy/molecule/moleculeTest.py | 67 ++++++++++++++++++++++++++--- 1 file changed, 60 insertions(+), 7 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index a44fdab06eb..58948676699 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3067,16 +3067,69 @@ def test_get_all_polycyclic_vertices(self): assert len(polycyclic_vertices) == 0 # Fused bicyclic molecule - # TODO: don't just test length, test the actual vertices - mol = Molecule(smiles="C1C2C(CCC1)CCCC2") + mol = Molecule().from_adjacency_list(""" + 1 C u0 p0 c0 {2,S} {4,S} {5,S} {11,S} + 2 C u0 p0 c0 {1,S} {3,S} {6,S} {12,S} + 3 C u0 p0 c0 {2,S} {7,S} {13,S} {14,S} + 4 C u0 p0 c0 {1,S} {8,S} {19,S} {20,S} + 5 C u0 p0 c0 {1,S} {9,S} {21,S} {22,S} + 6 C u0 p0 c0 {2,S} {10,S} {27,S} {28,S} + 7 C u0 p0 c0 {3,S} {8,S} {15,S} {16,S} + 8 C u0 p0 c0 {4,S} {7,S} {17,S} {18,S} + 9 C u0 p0 c0 {5,S} {10,S} {23,S} {24,S} + 10 C u0 p0 c0 {6,S} {9,S} {25,S} {26,S} + 11 H u0 p0 c0 {1,S} + 12 H u0 p0 c0 {2,S} + 13 H u0 p0 c0 {3,S} + 14 H u0 p0 c0 {3,S} + 15 H u0 p0 c0 {7,S} + 16 H u0 p0 c0 {7,S} + 17 H u0 p0 c0 {8,S} + 18 H u0 p0 c0 {8,S} + 19 H u0 p0 c0 {4,S} + 20 H u0 p0 c0 {4,S} + 21 H u0 p0 c0 {5,S} + 22 H u0 p0 c0 {5,S} + 23 H u0 p0 c0 {9,S} + 24 H u0 p0 c0 {9,S} + 25 H u0 p0 c0 {10,S} + 26 H u0 p0 c0 {10,S} + 27 H u0 p0 c0 {6,S} + 28 H u0 p0 c0 {6,S} + """) polycyclic_vertices = mol.get_all_polycyclic_vertices() - assert len(polycyclic_vertices) > 0 + assert len(polycyclic_vertices) == 2 + assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[0] + assert mol.atoms[1] is mol.get_all_polycyclic_vertices()[1] # Spirocyclic molecule - # TODO: don't just test length, test the actual vertices - mol = Molecule(smiles="C1CCC2(CC1)CC2") + mol = Molecule().from_adjacency_list(""" + 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} + 2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S} + 3 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S} + 4 C u0 p0 c0 {1,S} {5,S} {19,S} {20,S} + 5 C u0 p0 c0 {1,S} {4,S} {21,S} {22,S} + 6 C u0 p0 c0 {2,S} {7,S} {11,S} {12,S} + 7 C u0 p0 c0 {6,S} {8,S} {13,S} {14,S} + 8 C u0 p0 c0 {3,S} {7,S} {15,S} {16,S} + 9 H u0 p0 c0 {2,S} + 10 H u0 p0 c0 {2,S} + 11 H u0 p0 c0 {6,S} + 12 H u0 p0 c0 {6,S} + 13 H u0 p0 c0 {7,S} + 14 H u0 p0 c0 {7,S} + 15 H u0 p0 c0 {8,S} + 16 H u0 p0 c0 {8,S} + 17 H u0 p0 c0 {3,S} + 18 H u0 p0 c0 {3,S} + 19 H u0 p0 c0 {4,S} + 20 H u0 p0 c0 {4,S} + 21 H u0 p0 c0 {5,S} + 22 H u0 p0 c0 {5,S} + """) polycyclic_vertices = mol.get_all_polycyclic_vertices() - assert len(polycyclic_vertices) > 0 + assert len(polycyclic_vertices) == 1 + assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[0] def test_get_largest_ring(self): """ @@ -3099,4 +3152,4 @@ def test_get_largest_ring(self): longest_ring = long_ring2 # longest ring should be one atom shorter than the full polycyclic ring - assert len(longest_ring) == len(rings[0]) - 1 \ No newline at end of file + assert len(longest_ring) == len(rings[0]) - 1 From 9e6c97a75685028e8c6d4e809909ee0e2169164c Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 16:41:49 -0500 Subject: [PATCH 189/700] port old graphTest to new molecule version see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2796#discussion_r2843485580 --- test/rmgpy/molecule/moleculeTest.py | 73 +++++++++++++++++++++++++++++ 1 file changed, 73 insertions(+) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 58948676699..9fe979798be 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2308,6 +2308,79 @@ def test_large_mol_creation(self): assert False, "Creation of C{} failed!".format(i) def test_get_polycyclic_rings(self): + """ + Test that the Graph.get_polycycles() method returns only polycyclic rings. + + The tested molecule is unrealistic chemically speaking, but is a good test + of the codebase. + """ + vertices = [Atom(element="C") for _ in range(27)] + bonds = [ + (0, 1), + (1, 2), + (2, 3), + (3, 4), + (4, 5), + (5, 6), + (6, 7), + (7, 8), + (8, 9), + (9, 10), + (10, 11), + (11, 12), + (12, 13), + (13, 14), + (14, 15), + (14, 12), + (12, 16), + (16, 10), + (10, 17), + (17, 18), + (18, 19), + (9, 20), + (20, 21), + (21, 7), + (6, 22), + (22, 23), + (22, 4), + (23, 3), + (23, 24), + (24, 25), + (25, 1), + ] + edges = [] + for bond in bonds: + edges.append(Bond(vertices[bond[0]], vertices[bond[1]])) + + graph = Molecule() + for vertex in vertices: + graph.add_atom(vertex) + for edge in edges: + graph.add_bond(edge) + graph.update_connectivity_values() + + sssr = graph.get_smallest_set_of_smallest_rings() + assert len(sssr) == 6 + polycyclic_vertices = set(graph.get_all_polycyclic_vertices()) + expected_polycyclic_vertices = set([vertices[index] for index in [3, 23, 4, 22, 12]]) + + assert polycyclic_vertices == expected_polycyclic_vertices + + continuous_rings = graph.get_polycycles() + expected_continuous_rings = [ + [vertices[index] for index in [1, 2, 3, 4, 5, 6, 22, 23, 24, 25]], + # [vertices[index] for index in [7,8,9,21,20]], # This is a nonpolycyclic ring + [vertices[index] for index in [10, 11, 12, 13, 14, 16]], + ] + + # Convert to sets for comparison purposes + continuous_rings = [set(ring) for ring in continuous_rings] + expected_continuous_rings = [set(ring) for ring in expected_continuous_rings] + for ring in expected_continuous_rings: + assert ring in continuous_rings + + + def test_get_polycyclic_rings_common_molecules(self): """ Test that polycyclic rings within a molecule are returned properly in the function `Molecule.get_polycycles()` From 7fbfdb5a015de16858a570ccc5915ce0ec39662b Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 24 Feb 2026 17:49:23 -0500 Subject: [PATCH 190/700] change the largest ring test to actually test the size of the rings see: https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2796#discussion_r2843477816 --- test/rmgpy/molecule/moleculeTest.py | 101 +++++++++++++++++++++++----- 1 file changed, 84 insertions(+), 17 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 9fe979798be..7127c209a5a 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3209,20 +3209,87 @@ def test_get_largest_ring(self): Test that Molecule.get_largest_ring() method returns the largest ring. """ # Create a complex polycyclic molecule - mol = Molecule(smiles="C14CCCCCC(C(CCC1CC2CCCCCCC2)CC3CCC3)C4") - - # Get polycyclic rings - rings = mol.get_polycycles() - assert len(rings) == 1 - - long_ring = mol.get_largest_ring(rings[0][0]) - long_ring2 = mol.get_largest_ring(rings[0][1]) - - # get the longer of the two rings - if len(long_ring) > len(long_ring2): - longest_ring = long_ring - else: - longest_ring = long_ring2 - - # longest ring should be one atom shorter than the full polycyclic ring - assert len(longest_ring) == len(rings[0]) - 1 + mol = Molecule().from_adjacency_list(""" + 1 C u0 p0 c0 {2,S} {11,S} {26,S} {27,S} + 2 C u0 p0 c0 {1,S} {3,S} {28,S} {29,S} + 3 C u0 p0 c0 {2,S} {4,S} {30,S} {31,S} + 4 C u0 p0 c0 {3,S} {5,S} {32,S} {33,S} + 5 C u0 p0 c0 {4,S} {6,S} {34,S} {35,S} + 6 C u0 p0 c0 {5,S} {7,S} {36,S} {37,S} + 7 C u0 p0 c0 {6,S} {8,S} {26,S} {38,S} + 8 C u0 p0 c0 {7,S} {9,S} {21,S} {39,S} + 9 C u0 p0 c0 {8,S} {10,S} {40,S} {41,S} + 10 C u0 p0 c0 {9,S} {11,S} {42,S} {43,S} + 11 C u0 p0 c0 {1,S} {10,S} {12,S} {44,S} + 12 C u0 p0 c0 {11,S} {13,S} {45,S} {46,S} + 13 C u0 p0 c0 {12,S} {14,S} {20,S} {47,S} + 14 C u0 p0 c0 {13,S} {15,S} {48,S} {49,S} + 15 C u0 p0 c0 {14,S} {16,S} {50,S} {51,S} + 16 C u0 p0 c0 {15,S} {17,S} {52,S} {53,S} + 17 C u0 p0 c0 {16,S} {18,S} {54,S} {55,S} + 18 C u0 p0 c0 {17,S} {19,S} {56,S} {57,S} + 19 C u0 p0 c0 {18,S} {20,S} {58,S} {59,S} + 20 C u0 p0 c0 {13,S} {19,S} {60,S} {61,S} + 21 C u0 p0 c0 {8,S} {22,S} {62,S} {63,S} + 22 C u0 p0 c0 {21,S} {23,S} {25,S} {64,S} + 23 C u0 p0 c0 {22,S} {24,S} {65,S} {66,S} + 24 C u0 p0 c0 {23,S} {25,S} {67,S} {68,S} + 25 C u0 p0 c0 {22,S} {24,S} {69,S} {70,S} + 26 C u0 p0 c0 {1,S} {7,S} {71,S} {72,S} + 27 H u0 p0 c0 {1,S} + 28 H u0 p0 c0 {2,S} + 29 H u0 p0 c0 {2,S} + 30 H u0 p0 c0 {3,S} + 31 H u0 p0 c0 {3,S} + 32 H u0 p0 c0 {4,S} + 33 H u0 p0 c0 {4,S} + 34 H u0 p0 c0 {5,S} + 35 H u0 p0 c0 {5,S} + 36 H u0 p0 c0 {6,S} + 37 H u0 p0 c0 {6,S} + 38 H u0 p0 c0 {7,S} + 39 H u0 p0 c0 {8,S} + 40 H u0 p0 c0 {9,S} + 41 H u0 p0 c0 {9,S} + 42 H u0 p0 c0 {10,S} + 43 H u0 p0 c0 {10,S} + 44 H u0 p0 c0 {11,S} + 45 H u0 p0 c0 {12,S} + 46 H u0 p0 c0 {12,S} + 47 H u0 p0 c0 {13,S} + 48 H u0 p0 c0 {14,S} + 49 H u0 p0 c0 {14,S} + 50 H u0 p0 c0 {15,S} + 51 H u0 p0 c0 {15,S} + 52 H u0 p0 c0 {16,S} + 53 H u0 p0 c0 {16,S} + 54 H u0 p0 c0 {17,S} + 55 H u0 p0 c0 {17,S} + 56 H u0 p0 c0 {18,S} + 57 H u0 p0 c0 {18,S} + 58 H u0 p0 c0 {19,S} + 59 H u0 p0 c0 {19,S} + 60 H u0 p0 c0 {20,S} + 61 H u0 p0 c0 {20,S} + 62 H u0 p0 c0 {21,S} + 63 H u0 p0 c0 {21,S} + 64 H u0 p0 c0 {22,S} + 65 H u0 p0 c0 {23,S} + 66 H u0 p0 c0 {23,S} + 67 H u0 p0 c0 {24,S} + 68 H u0 p0 c0 {24,S} + 69 H u0 p0 c0 {25,S} + 70 H u0 p0 c0 {25,S} + 71 H u0 p0 c0 {26,S} + 72 H u0 p0 c0 {26,S} + """) + # simple 8 membered ring + assert len(mol.get_largest_ring(mol.atoms[15])) == 8 + # simple 4 membered ring + assert len(mol.get_largest_ring(mol.atoms[22])) == 4 + # vertex in both the 8, 7, and 11 membered rings - should return 11 + assert len(mol.get_largest_ring(mol.atoms[0])) == 11 + # aliphatic linkage - not a member of a ring + assert len(mol.get_largest_ring(mol.atoms[20])) == 0 + # bridgehead - should choose the larger of the two rings + assert len(mol.get_largest_ring(mol.atoms[25])) == 8 From d1c4b841f2c39c6c6f1bdd9d4911e5542930920d Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Wed, 4 Mar 2026 14:42:33 -0500 Subject: [PATCH 191/700] Revert "[DROPME] use temp rms branch" This reverts commit 36edda3b0fd2525cedbb620c5b0da9b427715b3a. --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 9e6c7355245..6612e81711c 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -53,7 +53,7 @@ env: # main with the name of the branch RMG_DATABASE_BRANCH: main # RMS branch to use for ReactionMechanismSimulator installation - RMS_BRANCH: for_rmg-pythoncall_py311 + RMS_BRANCH: for_rmg # RMS mode used for install_rms.sh RMS_INSTALLER: continuous # julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial From 1b0a048c7b9936d640e7e6df1df87abf6e161d16 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 13 Dec 2025 12:12:12 +0200 Subject: [PATCH 192/700] Env: up Cantera to >= 3.0 --- environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment.yml b/environment.yml index 28ed01dd998..c9ce3bc1775 100644 --- a/environment.yml +++ b/environment.yml @@ -50,7 +50,7 @@ dependencies: # external software tools for chemistry - conda-forge::coolprop - - conda-forge::cantera =2.6 + - conda-forge::cantera >=3.0 - conda-forge::mopac # see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2639#issuecomment-2050292972 - conda-forge::cclib >=1.6.3,<1.9 From bc03022515f415235682cfa1811d77da4cd09e33 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Mon, 22 Dec 2025 12:11:39 +0200 Subject: [PATCH 193/700] Tests: use Cantera from YAML in species test instead of the old from CTI --- test/rmgpy/speciesTest.py | 36 +++++++++++++++++++----------------- 1 file changed, 19 insertions(+), 17 deletions(-) diff --git a/test/rmgpy/speciesTest.py b/test/rmgpy/speciesTest.py index 6c2f558b212..ec97de5b9da 100644 --- a/test/rmgpy/speciesTest.py +++ b/test/rmgpy/speciesTest.py @@ -458,23 +458,25 @@ def test_cantera(self): rmg_ct_species = rmg_species.to_cantera(use_chemkin_identifier=True) - ct_species = ct.Species.fromCti( - """species(name=u'Ar', - atoms='Ar:1', - thermo=(NASA([200.00, 1000.00], - [ 2.50000000E+00, 0.00000000E+00, 0.00000000E+00, - 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, - 4.37967000E+00]), - NASA([1000.00, 6000.00], - [ 2.50000000E+00, 0.00000000E+00, 0.00000000E+00, - 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, - 4.37967000E+00])), - transport=gas_transport(geom='atom', - diam=3.33, - well_depth=136.501, - dipole=2.0, - polar=1.0, - rot_relax=15.0))""" + ct_species = ct.Species.from_yaml( + """ + name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.00, 1000.00, 6000.00] + data: + - [2.50000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, 4.37967000E+00] + - [2.50000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, 4.37967000E+00] + transport: + model: gas + geometry: atom + diameter: 3.33 + well-depth: 136.501 + dipole: 2.0 + polarizability: 1.0 + rotational-relaxation: 15.0 + """ ) assert type(rmg_ct_species) == type(ct_species) assert rmg_ct_species.name == ct_species.name From ef81c4285a32184ed63184181937cee569a41012 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 07:28:32 +0200 Subject: [PATCH 194/700] Remove unused imports from main --- rmgpy/rmg/main.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 103d61dd0b6..da7f4f041c0 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -41,7 +41,6 @@ import shutil import sys import time -import warnings from copy import deepcopy import h5py @@ -56,8 +55,7 @@ from rmgpy.chemkin import ChemkinWriter from rmgpy.constraints import fails_species_constraints from rmgpy.data.base import Entry -from rmgpy.data.kinetics.family import TemplateReaction -from rmgpy.data.kinetics.library import KineticsLibrary, LibraryReaction +from rmgpy.data.kinetics.library import KineticsLibrary from rmgpy.data.rmg import RMGDatabase from rmgpy.data.vaporLiquidMassTransfer import vapor_liquid_mass_transfer from rmgpy.exceptions import ( @@ -74,11 +72,10 @@ from rmgpy.rmg.listener import SimulationProfilePlotter, SimulationProfileWriter from rmgpy.rmg.model import CoreEdgeReactionModel, Species from rmgpy.rmg.output import OutputHTMLWriter -from rmgpy.rmg.pdep import PDepNetwork, PDepReaction +from rmgpy.rmg.pdep import PDepNetwork from rmgpy.rmg.reactionmechanismsimulator_reactors import Reactor as RMSReactor from rmgpy.rmg.settings import ModelSettings -from rmgpy.solver.base import TerminationConversion, TerminationTime -from rmgpy.solver.simple import SimpleReactor +from rmgpy.solver.base import TerminationTime from rmgpy.stats import ExecutionStatsWriter from rmgpy.thermo.thermoengine import submit from rmgpy.tools.plot import plot_sensitivity From 681b512a78a0964b1de49cc6594610351e6d7329 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 13:24:37 +0200 Subject: [PATCH 195/700] Tests: Adaptations to main test --- test/rmgpy/rmg/mainTest.py | 171 +------------------------------------ 1 file changed, 3 insertions(+), 168 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index c71f2bbb766..fdca40c6808 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -55,7 +55,7 @@ def setup_class(cls): cls.seedKinetics = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed") cls.seedKineticsEdge = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed_edge") - os.mkdir(os.path.join(cls.testDir, cls.outputDir)) + os.makedirs(os.path.join(cls.testDir, cls.outputDir), exist_ok=True) cls.rmg = RMG( input_file=os.path.join(cls.testDir, "input.py"), @@ -174,7 +174,7 @@ def test_rmg_memory(self): def test_make_cantera_input_file(self): """ - This tests to ensure that a usable Cantera input file is created. + This test ensures that a usable Cantera input file is created. """ import cantera as ct @@ -274,7 +274,7 @@ def setup_class(cls): cls.outputDir = os.path.join(cls.testDir, "output") cls.databaseDirectory = settings["database.directory"] - os.mkdir(os.path.join(cls.testDir, cls.outputDir)) + os.makedirs(os.path.join(cls.testDir, cls.outputDir), exist_ok=True) cls.max_iter = 10 @@ -360,168 +360,3 @@ def teardown_class(cls): os.remove(os.path.join(cls.test_dir, "RMG.profile.dot")) os.remove(os.path.join(cls.test_dir, "RMG.profile.dot.ps2")) - -class TestCanteraOutput: - def setup_class(self): - self.chemkin_files = { - """ELEMENTS - H - D /2.014/ - T /3.016/ - C - CI /13.003/ - O - OI /18.000/ - N - -END - -SPECIES - ethane(1) - CH3(4) -END - -THERM ALL - 300.000 1000.000 5000.000 - -ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 - 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 --1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 --6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 - -CH3(4) H 3 C 1 G100.000 5000.000 1337.62 1 - 3.54144859E+00 4.76788187E-03-1.82149144E-06 3.28878182E-10-2.22546856E-14 2 - 1.62239622E+04 1.66040083E+00 3.91546822E+00 1.84153688E-03 3.48743616E-06 3 --3.32749553E-09 8.49963443E-13 1.62856393E+04 3.51739246E-01 4 - -END - - - -REACTIONS KCAL/MOLE MOLES - -CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 - -END -""": True, - """ELEMENTS - CI /13.003/ - O - OI /18.000/ - N - -END - -SPECIES - ethane(1) - CH3(4) -END - -THERM ALL - 300.000 1000.000 5000.000 - -ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 - 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 --1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 --6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 - -CH3(4) H 3 C 1 G100.000 5000.000 1337.62 1 - 3.54144859E+00 4.76788187E-03-1.82149144E-06 3.28878182E-10-2.22546856E-14 2 - 1.62239622E+04 1.66040083E+00 3.91546822E+00 1.84153688E-03 3.48743616E-06 3 --3.32749553E-09 8.49963443E-13 1.62856393E+04 3.51739246E-01 4 - -END - - - -REACTIONS KCAL/MOLE MOLES - -CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 - -END -""": False, - """ELEMENTS - H - D /2.014/ - T /3.016/ - C - CI /13.003/ - O - OI /18.000/ - N - -END - -SPECIES - ethane(1) - CH3(4) -END - -THERM ALL - 300.000 1000.000 5000.000 - -ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 - 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 --1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 --6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 - -END - -REACTIONS KCAL/MOLE MOLES - -CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 - -END -""": False, - } - self.rmg = RMG() - self.dir_name = "temp_dir_for_testing" - self.rmg.output_directory = os.path.join(originalPath, "..", "test", "rmgpy", "test_data", self.dir_name) - - self.tran_dat = """ -! Species Shape LJ-depth LJ-diam DiplMom Polzblty RotRelaxNum Data -! Name Index epsilon/k_B sigma mu alpha Zrot Source -ethane(1) 2 252.301 4.302 0.000 0.000 1.500 ! GRI-Mech -CH3(4) 2 144.001 3.800 0.000 0.000 0.000 ! GRI-Mech - """ - - def teardown_class(self): - os.chdir(originalPath) - # try to remove the tree. If testChemkinToCanteraConversion properly - # ran, the files should already be removed. - try: - shutil.rmtree(self.dir_name) - except OSError: - pass - # go back to the main RMG-Py directory - os.chdir("..") - - def test_chemkin_to_cantera_conversion(self): - """ - Tests that good and bad chemkin files raise proper exceptions - """ - - from cantera.ck2yaml import InputError - - for ck_input, works in self.chemkin_files.items(): - os.chdir(originalPath) - os.mkdir(self.dir_name) - os.chdir(self.dir_name) - - f = open("chem001.inp", "w") - f.write(ck_input) - f.close() - - f = open("tran.dat", "w") - f.write(self.tran_dat) - f.close() - - if works: - self.rmg.generate_cantera_files(os.path.join(os.getcwd(), "chem001.inp")) - else: - with pytest.raises(InputError): - self.rmg.generate_cantera_files(os.path.join(os.getcwd(), "chem001.inp")) - - # clean up - os.chdir(originalPath) - shutil.rmtree(self.dir_name) From edeeca33792795121cdd18dea2b9d9ce22a4d284 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 14:20:09 +0200 Subject: [PATCH 196/700] Fix Reaction ct conversions --- rmgpy/reaction.py | 36 ++++++++++++++++++++++-------------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 1997824afcc..a8ae13f3d3a 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -347,43 +347,53 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False): ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ChebyshevRate()) elif isinstance(self.kinetics, ThirdBody): - if ct_collider is not None: - ct_reaction = ct.ThreeBodyReaction(reactants=ct_reactants, products=ct_products, third_body=ct_collider) + if ct_collider: + ct_reaction = ct.Reaction(reactants=ct_reactants, + products=ct_products, + third_body=ct_collider, + rate=ct.ArrheniusRate(), + ) else: - ct_reaction = ct.ThreeBodyReaction(reactants=ct_reactants, products=ct_products) + ct_reaction = ct.Reaction(reactants=ct_reactants, + products=ct_products, + third_body="M", + rate=ct.ArrheniusRate(), + ) elif isinstance(self.kinetics, Troe): - if ct_collider is not None: - ct_reaction = ct.FalloffReaction( + if ct_collider: + ct_reaction = ct.Reaction( reactants=ct_reactants, products=ct_products, - tbody=ct_collider, + third_body=ct_collider, rate=ct.TroeRate() ) else: - ct_reaction = ct.FalloffReaction( + ct_reaction = ct.Reaction( reactants=ct_reactants, products=ct_products, + third_body="M", rate=ct.TroeRate() ) elif isinstance(self.kinetics, Lindemann): - if ct_collider is not None: - ct_reaction = ct.FalloffReaction( + if ct_collider: + ct_reaction = ct.Reaction( reactants=ct_reactants, products=ct_products, - tbody=ct_collider, + third_body=ct_collider, rate=ct.LindemannRate() ) else: - ct_reaction = ct.FalloffReaction( + ct_reaction = ct.Reaction( reactants=ct_reactants, products=ct_products, + third_body="M", rate=ct.LindemannRate() ) elif isinstance(self.kinetics, SurfaceArrhenius): - ct_reaction = ct.InterfaceReaction( + ct_reaction = ct.Reaction( reactants=ct_reactants, products=ct_products, rate=ct.InterfaceArrheniusRate() @@ -417,8 +427,6 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False): return ct_reaction - - def get_url(self): """ Get a URL to search for this reaction in the rmg website. From 50f74b42de2c5957db259fb99f5924ebe7347666 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 14:20:29 +0200 Subject: [PATCH 197/700] Tests: Reaction tests modifications --- test/rmgpy/reactionTest.py | 38 +++++++++++++++++++++++++++++++------- 1 file changed, 31 insertions(+), 7 deletions(-) diff --git a/test/rmgpy/reactionTest.py b/test/rmgpy/reactionTest.py index f9f907ea85c..f2cb3ed91d4 100644 --- a/test/rmgpy/reactionTest.py +++ b/test/rmgpy/reactionTest.py @@ -2951,34 +2951,58 @@ def test_pdep_arrhenius(self): ct_objects = [self.ct_pdepArrhenius] converted_ct_objects = [obj.to_cantera(self.species_list, use_chemkin_identifier=True) for obj in rmg_objects] + def assert_plog_rates_equal(rates1, rates2, rtol=1e-9, atol=0.0): + assert len(rates1) == len(rates2) + # Sort by pressure to avoid ordering differences (Plog stores a multimap internally) + rates1 = sorted(rates1, key=lambda x: x[0]) + rates2 = sorted(rates2, key=lambda x: x[0]) + for (p1, r1), (p2, r2) in zip(rates1, rates2): + assert math.isclose(float(p1), float(p2), rel_tol=rtol, abs_tol=atol) + A1, b1, Ea1 = r1.pre_exponential_factor, r1.temperature_exponent, r1.activation_energy + A2, b2, Ea2 = r2.pre_exponential_factor, r2.temperature_exponent, r2.activation_energy + assert math.isclose(A1, A2, rel_tol=rtol, abs_tol=atol) + assert math.isclose(b1, b2, rel_tol=rtol, abs_tol=atol) + assert math.isclose(Ea1, Ea2, rel_tol=rtol, abs_tol=atol) + for converted_obj, ct_obj in zip(converted_ct_objects, ct_objects): # Check that the reaction class is the same assert type(converted_obj) == type(ct_obj) # Check that the reaction string is the same assert repr(converted_obj) == repr(ct_obj) # Check that the Arrhenius rates are identical - assert str(converted_obj.rates) == str(ct_obj.rates) + assert_plog_rates_equal(converted_obj.rate.rates, ct_obj.rate.rates) def test_multi_pdep_arrhenius(self): """ Tests formation of cantera reactions with MultiPDepArrhenius kinetics. """ - rmg_objects = [self.multiPdepArrhenius] ct_objects = [self.ct_multiPdepArrhenius] converted_ct_objects = [obj.to_cantera(self.species_list, use_chemkin_identifier=True) for obj in rmg_objects] + def assert_plog_rates_equal(rates1, rates2, rtol=1e-9, atol=0.0): + assert len(rates1) == len(rates2) + # Sort by pressure to avoid ordering differences (Plog stores a multimap internally) + rates1 = sorted(rates1, key=lambda x: x[0]) + rates2 = sorted(rates2, key=lambda x: x[0]) + for (p1, r1), (p2, r2) in zip(rates1, rates2): + assert math.isclose(float(p1), float(p2), rel_tol=rtol, abs_tol=atol) + A1, b1, Ea1 = r1.pre_exponential_factor, r1.temperature_exponent, r1.activation_energy + A2, b2, Ea2 = r2.pre_exponential_factor, r2.temperature_exponent, r2.activation_energy + assert math.isclose(A1, A2, rel_tol=rtol, abs_tol=atol) + assert math.isclose(b1, b2, rel_tol=rtol, abs_tol=atol) + assert math.isclose(Ea1, Ea2, rel_tol=rtol, abs_tol=atol) + for converted_obj, ct_obj in zip(converted_ct_objects, ct_objects): # Check that the same number of reactions are produced assert len(converted_obj) == len(ct_obj) - for converted_rxn, ct_rxn in zip(converted_obj, ct_obj): # Check that the reaction has the same type assert type(converted_rxn) == type(ct_rxn) # Check that the reaction string is the same assert repr(converted_rxn) == repr(ct_rxn) # Check that the Arrhenius rates are identical - assert str(converted_rxn.rates) == str(ct_rxn.rates) + assert_plog_rates_equal(converted_rxn.rate.rates, ct_rxn.rate.rates) def test_chebyshev(self): """ @@ -2999,18 +3023,18 @@ def test_falloff(self): assert round(abs(ct_troe.rate.low_rate.pre_exponential_factor - self.ct_troe.rate.low_rate.pre_exponential_factor), 3) == 0 assert ct_troe.rate.low_rate.temperature_exponent == self.ct_troe.rate.low_rate.temperature_exponent assert ct_troe.rate.low_rate.activation_energy == self.ct_troe.rate.low_rate.activation_energy - assert ct_troe.efficiencies == self.ct_troe.efficiencies + assert ct_troe.third_body.efficiencies == self.ct_troe.third_body.efficiencies ct_third_body = self.thirdBody.to_cantera(self.species_list, use_chemkin_identifier=True) assert type(ct_third_body.rate) == type(self.ct_thirdBody.rate) assert round(abs(ct_third_body.rate.pre_exponential_factor - self.ct_thirdBody.rate.pre_exponential_factor), 3) == 0 assert ct_third_body.rate.temperature_exponent == self.ct_thirdBody.rate.temperature_exponent assert ct_third_body.rate.activation_energy == self.ct_thirdBody.rate.activation_energy - assert ct_third_body.efficiencies == self.ct_thirdBody.efficiencies + assert ct_third_body.third_body.efficiencies == self.ct_thirdBody.third_body.efficiencies ct_lindemann = self.lindemann.to_cantera(self.species_list, use_chemkin_identifier=True) assert type(ct_lindemann.rate) == type(self.ct_lindemann.rate) - assert ct_lindemann.efficiencies == self.ct_lindemann.efficiencies + assert ct_lindemann.third_body.efficiencies == self.ct_lindemann.third_body.efficiencies assert str(ct_lindemann.rate.low_rate) == str(self.ct_lindemann.rate.low_rate) assert str(ct_lindemann.rate.high_rate) == str(self.ct_lindemann.rate.high_rate) From 9ad6b5ef2e066099afbd80d4dfdb1ee52cbc6a68 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 14:21:12 +0200 Subject: [PATCH 198/700] Added ct_reaction.third_body before calling efficiencies in falloff --- rmgpy/kinetics/falloff.pyx | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx index 12290667be7..bc7de3650f5 100644 --- a/rmgpy/kinetics/falloff.pyx +++ b/rmgpy/kinetics/falloff.pyx @@ -124,9 +124,7 @@ cdef class ThirdBody(PDepKineticsModel): """ Sets the kinetics and efficiencies for a cantera `ThreeBodyReaction` object """ - import cantera as ct - assert isinstance(ct_reaction, ct.ThreeBodyReaction), "Must be a Cantera ThreeBodyReaction object" - ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) + ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) self.arrheniusLow.set_cantera_kinetics(ct_reaction, species_list) ################################################################################ @@ -226,7 +224,7 @@ cdef class Lindemann(PDepKineticsModel): """ import cantera as ct assert isinstance(ct_reaction.rate, ct.LindemannRate), "Must have a Cantera LindemannRate attribute" - ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) + ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) ct_reaction.rate = self.to_cantera_kinetics() @@ -398,7 +396,7 @@ cdef class Troe(PDepKineticsModel): """ import cantera as ct assert isinstance(ct_reaction.rate, ct.TroeRate), "Must have a Cantera TroeRate attribute" - ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) + ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list) ct_reaction.rate = self.to_cantera_kinetics() def to_cantera_kinetics(self): From 1a00935f89c77b8cac01006e94b8a6e3e7dfc23c Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 21:28:11 +0200 Subject: [PATCH 199/700] Update canteramodel --- rmgpy/tools/canteramodel.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 17f98095581..56ae45b3728 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -817,13 +817,11 @@ def check_equivalent_falloff(fall1, fall2): if isinstance(ct_rxn1, ct.Reaction): # may not mean it is arrhenius, need to check if it is troe, if isinstance(ct_rxn1.rate, ct.ArrheniusRate): - assert ct_rxn1.allow_negative_pre_exponential_factor == ct_rxn2.allow_negative_pre_exponential_factor, \ - "Same allow_negative_pre_exponential_factor attribute" if ct_rxn1.rate or ct_rxn2.rate: check_equivalent_arrhenius(ct_rxn1.rate, ct_rxn2.rate) elif isinstance(ct_rxn1.rate, ct.PlogRate): if ct_rxn1.rate.rates or ct_rxn2.rate.rates: - assert len(ct_rxn1.rates) == len(ct_rxn2.rates), "Same number of rates in PLOG reaction" + assert len(ct_rxn1.rate.rates) == len(ct_rxn2.rate.rates), "Same number of rates in PLOG reaction" for i in range(len(ct_rxn1.rate.rates)): P1, arr1 = ct_rxn1.rate.rates[i] From fdfa91f5ef91705d30321aa8b01a806b52509eb0 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Fri, 9 Jan 2026 21:28:58 +0200 Subject: [PATCH 200/700] Tests: Update canteramodel and transportData tests --- test/rmgpy/tools/canteramodelTest.py | 29 +++++++++++++++++----------- test/rmgpy/transportDataTest.py | 22 ++++++++++++--------- 2 files changed, 31 insertions(+), 20 deletions(-) diff --git a/test/rmgpy/tools/canteramodelTest.py b/test/rmgpy/tools/canteramodelTest.py index 81b7d6844e0..aeb2e372d59 100644 --- a/test/rmgpy/tools/canteramodelTest.py +++ b/test/rmgpy/tools/canteramodelTest.py @@ -28,9 +28,8 @@ ############################################################################### import os - - import numpy as np +import tempfile import rmgpy from rmgpy.quantity import Quantity @@ -42,7 +41,6 @@ def test_ignition_delay(self): """ Test that find_ignition_delay() works. """ - t = np.arange(0, 5, 0.5) P = np.array([0, 0.33, 0.5, 0.9, 2, 4, 15, 16, 16.1, 16.2]) OH = np.array([0, 0.33, 0.5, 0.9, 2, 4, 15, 16, 7, 2]) @@ -82,7 +80,6 @@ class RMGToCanteraTest: def setup_class(self): from rmgpy.chemkin import load_chemkin_file - folder = os.path.join(os.path.dirname(rmgpy.__file__), "tools/data/various_kinetics") chemkin_path = os.path.join(folder, "chem_annotated.inp") @@ -118,19 +115,32 @@ def setup_class(self): self.rmg_surface_ct_reactions.extend(converted_reactions) else: self.rmg_surface_ct_reactions.append(converted_reactions) + + with open(chemkin_surface_path, 'r') as f: + surface_content = f.read() + if "SITE SDEN" in surface_content: + # Inject a dummy phase name 'SURF' + surface_content = surface_content.replace("SITE SDEN", "SITE SURF SDEN") + + # Write to a temporary file to avoid modifying the repo's test data + tf = tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.inp') + tf.write(surface_content) + tf.close() + # Use the temp file for Cantera loading + chemkin_surface_path = tf.name + + job = Cantera() job.surface = True - job.load_chemkin_model(chemkin_path, surface_file=chemkin_surface_path, quiet=True) + job.load_chemkin_model(chemkin_path, surface_file=chemkin_surface_path, quiet=True, permissive=True) self.ct_surface_species = job.surface.species() self.ct_surface_reactions = job.surface.reactions() - def test_species_conversion(self): """ Test that species objects convert properly """ from rmgpy.tools.canteramodel import check_equivalent_cantera_species - for i in range(len(self.ctSpecies)): assert check_equivalent_cantera_species(self.ctSpecies[i], self.rmg_ctSpecies[i]) @@ -139,7 +149,6 @@ def test_reaction_conversion(self): Test that reaction objects convert properly """ from rmgpy.tools.canteramodel import check_equivalent_cantera_reaction - for i in range(len(self.ctReactions)): assert check_equivalent_cantera_reaction(self.ctReactions[i], self.rmg_ctReactions[i]) @@ -148,7 +157,6 @@ def test_surface_species_conversion(self): Test that surface species objects convert properly """ from rmgpy.tools.canteramodel import check_equivalent_cantera_species - for i in range(len(self.ct_surface_species)): #print("Chemkin-to-Cantera:", self.ct_surfaceSpecies[i].input_data) #print("Chemkin-to-RMG-to-Cantera:", self.rmg_surface_ctSpecies[i].input_data) @@ -159,8 +167,7 @@ def test_surface_reaction_conversion(self): Test that surface reaction objects convert properly """ from rmgpy.tools.canteramodel import check_equivalent_cantera_reaction - for i in range(len(self.ct_surface_reactions)): #print("Chemkin-to-Cantera:", self.ct_surfaceReactions[i].input_data) #print("Chemkin-to-RMG-to-Cantera:", self.rmg_surface_ctReactions[i].input_data) - assert check_equivalent_cantera_reaction(self.ct_surface_reactions[i], self.rmg_surface_ct_reactions[i]) \ No newline at end of file + assert check_equivalent_cantera_reaction(self.ct_surface_reactions[i], self.rmg_surface_ct_reactions[i]) diff --git a/test/rmgpy/transportDataTest.py b/test/rmgpy/transportDataTest.py index 59dee0a5421..575d41e0f9b 100644 --- a/test/rmgpy/transportDataTest.py +++ b/test/rmgpy/transportDataTest.py @@ -161,15 +161,19 @@ def test_to_cantera(self): rmg_ct_transport = transport.to_cantera() import cantera as ct - ct_species = ct.Species.fromCti( - """species(name=u'Ar', - atoms='Ar:1', - transport=gas_transport(geom='atom', - diam=3.33, - well_depth=136.501, - dipole=2.0, - polar=1.0, - rot_relax=15.0))""" + ct_species = ct.Species.from_yaml( + """ + name: Ar + composition: {Ar: 1} + transport: + model: gas + geometry: atom + diameter: 3.33 + well-depth: 136.501 + dipole: 2.0 + polarizability: 1.0 + rotational-relaxation: 15.0 + """ ) ct_transport = ct_species.transport From 29b591a7c36b100b937b619f16b29fcbc43216bf Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 11 Feb 2026 23:53:44 -0500 Subject: [PATCH 201/700] Fix: Set default surface name for compatibility with Cantera 3.1 The ck2yaml that comes with Cantera 3.1 needs the surface site to be named. Because there's no 3.2 binaries in conda-forge for Python 3.9, we'll end up installing 3.1 in most people's environments, so let's be compatible with it (even if it's wrong). --- rmgpy/chemkin.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 1f4323d311a..227b42d0c98 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2168,7 +2168,7 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_ sorted_species = sorted(species, key=lambda species: species.index) # Species section - surface_name = None + surface_name = 'SURF0' # Some ck2yaml versions (Cantera 3.1) require a name. if surface_name: f.write('SITE/{}/'.format(surface_name)) else: From f5711ceb8684641c9e4a42d5a0c97d2cff4e2c83 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 11 Feb 2026 23:55:00 -0500 Subject: [PATCH 202/700] Add surface site names in example chemkin files. Because Cantera 3.1 requires this, and at least temporarily we require Cantera v 3.1, we'll add it to our testing and example files. --- rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp | 2 +- rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp | 2 +- .../rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp index bf6993dec8f..582fcf235f6 100644 --- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp +++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp @@ -1,4 +1,4 @@ -SITE SDEN/2.9430E-09/ ! mol/cm^2 +SITE/SURF0/ SDEN/2.9430E-09/ ! mol/cm^2 X(1) ! X(1) H*(10) ! H*(10) O*(11) ! O*(11) diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp index 474fb0d98b4..a01200386d9 100644 --- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp +++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp @@ -1,4 +1,4 @@ -SITE SDEN/2.9430E-09/ ! mol/cm^2 +SITE/SURF0/ SDEN/2.9430E-09/ ! mol/cm^2 X(1) ! X(1) H*(10) ! H*(10) O*(11) ! O*(11) diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp index 992e28bb709..fc28188bff0 100644 --- a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp +++ b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp @@ -6,7 +6,7 @@ ELEMENTS X /195.083/ END -SITE SDEN/2.4830E-09/ ! mol/cm^2 +SITE/SURF0/ SDEN/2.4830E-09/ ! mol/cm^2 X HX OX From 2b2f3fe98650bb4a85b07bc05b8151641ab8954f Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 14:03:16 -0500 Subject: [PATCH 203/700] Allow chemkin parser to read SITE/SURF1/ type definitions. Now that we name the surface (for compatibility with Cantera 3.1) we need to be able to read these chemkin files ourself. --- rmgpy/chemkin.pyx | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 227b42d0c98..1988419057d 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1180,8 +1180,8 @@ def read_species_block(f, species_dict, species_aliases, species_list): tokens_upper = line.upper().split() first_token = tokens.pop(0) first_token = tokens_upper.pop(0) # pop from both lists - assert first_token in ['SPECIES', 'SPEC', 'SITE'] # should be first token in first line - # Build list of species identifiers + assert first_token.startswith('SPEC') or first_token.startswith('SITE'), f"'{line}' should begin with SPECIES or SITE statement." + # Build list of species identifiers while 'END' not in tokens_upper: line = f.readline() # If the line contains only one species, and also contains @@ -1206,6 +1206,8 @@ def read_species_block(f, species_dict, species_aliases, species_list): token_upper = token.upper() if token_upper in ['SPECIES', 'SPEC', 'SITE']: continue # there may be more than one SPECIES statement + if re.match(r'^SITE/', token_upper): + continue # could be a named surface like SITE/SURF1/ if token_upper == 'END': break From 3dd0e54cdef663b8a8f708da7ac2573d517dec5e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 14:22:31 -0500 Subject: [PATCH 204/700] Add Cantera 3.0 dependency check to utilities.py --- utilities.py | 39 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/utilities.py b/utilities.py index 1d47b33453f..9adee124f4c 100644 --- a/utilities.py +++ b/utilities.py @@ -48,6 +48,7 @@ def check_dependencies(): print('{0:<15}{1:<15}{2}'.format('Package', 'Version', 'Location')) missing = { + 'cantera': _check_cantera(), 'openbabel': _check_openbabel(), 'pydqed': _check_pydqed(), 'rdkit': _check_rdkit(), @@ -56,9 +57,18 @@ def check_dependencies(): if any(missing.values()): print(""" + ╔═══════════════════════════════════════════════════════════════════════════╗ + ║ ! ! ║ + ║ ! ! WARNING: MISSING DEPENDENCIES ! ! ║ + ║ !!!!! !!!!! ║ + ╚═══════════════════════════════════════════════════════════════════════════╝ + There are missing dependencies as listed above. Please install them before proceeding. conda env update -f environment.yml + +Or (often better) make a new conda environment and restart the installation instructions. +See https://reactionmechanismgenerator.github.io/RMG-Py/users/rmg/installation Be sure to activate your conda environment (rmg_env by default) before installing or updating. """) @@ -67,6 +77,35 @@ def check_dependencies(): Everything was found :) """) +def _check_cantera(): + """Check for Cantera with version >= 3.0""" + missing = False + + try: + import cantera + except ImportError: + print('{0:<30}{1}'.format('Cantera', + 'Not found. Necessary for output file writing and utilities.')) + missing = True + else: + version = cantera.__version__ + location = cantera.__file__ + + # Parse version string to compare (e.g., "3.0.0" -> (3, 0)) + try: + version_tuple = tuple(int(x) for x in version.split('.')[:2]) + except (ValueError, IndexError): + version_tuple = (0, 0) + + if version_tuple < (3, 0): + print('{0:<15}{1:<15}{2}'.format('Cantera', version, location)) + print(' !!! Cantera version must be 3.0 or later.') + missing = True + else: + print('{0:<15}{1:<15}{2}'.format('Cantera', version, location)) + + return missing + def _check_openbabel(): """Check for OpenBabel""" From dd5e4c57a70af57f08968506e156a7374431f061 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 14:32:34 -0500 Subject: [PATCH 205/700] Fix surface phase loading in Cantera model converter Load surface phase name dynamically from generated YAML instead of assuming hardcoded 'surface1'. This makes the code compatible with different CHEMKIN surface file specifications that may define different phase names (e.g., SURF0). Fixes failing tests in canteramodelTest.py. --- rmgpy/tools/canteramodel.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 56ae45b3728..60e7c5a6ba1 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -341,6 +341,7 @@ def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs): Note that if this is a surface mechanism, the calling function much include surface_file as a keyword argument for the parser """ from cantera import ck2yaml + import yaml base = os.path.basename(chemkin_file) base_name = os.path.splitext(base)[0] @@ -353,7 +354,20 @@ def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs): self.model = ct.Solution(out_name) if self.surface: - self.surface = ct.Interface(out_name, 'surface1') + # Find the surface phase name in the generated YAML file + with open(out_name, 'r') as f: + yaml_data = yaml.safe_load(f) + + surface_phase_name = None + for phase in yaml_data.get('phases', []): + if phase.get('thermo') == 'ideal-surface': + surface_phase_name = phase.get('name') + break + + if surface_phase_name is None: + raise ValueError(f"No surface phase found in {out_name}") + + self.surface = ct.Interface(out_name, surface_phase_name) self.model = self.surface.adjacent['gas'] def modify_reaction_kinetics(self, rmg_reaction_index, rmg_reaction): From d14163c6033ff779e1ef2550899ea32cfe0d4cb1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 14:42:01 -0500 Subject: [PATCH 206/700] Reminder (to copilot) to rebuild cython files. (It forgot, and wasted a bunch of time trying to fix a bug that wasn't there) --- .github/copilot-instructions.md | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index cbd0a3c9698..1b028740160 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -26,6 +26,7 @@ Performance-critical code uses Cython (`.pyx` files) with declaration files (`.p - Use `cpdef` for methods callable from both Python and Cython - Use `cimport` for Cython-level imports (e.g., `cimport rmgpy.constants as constants`) - Register new Cython modules in `setup.py` `ext_modules` list +- Remember to re-compile (e.g. run `make`) after modifying any `.pyx` or `.pxd` files, or if there seem to be weird bugs in them. ## Development Commands ```bash From ab15a7b6433d6de4939f695fc5ee026f31ab25cf Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 5 Mar 2026 11:08:05 -0500 Subject: [PATCH 207/700] remove option to use deprecated cantera api --- rmgpy/kinetics/arrhenius.pyx | 12 +++--------- rmgpy/kinetics/falloff.pyx | 8 ++++---- 2 files changed, 7 insertions(+), 13 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index ea9e462d4f8..baf1d5eba76 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -232,14 +232,11 @@ cdef class Arrhenius(KineticsModel): """ self._A.value_si *= factor - def to_cantera_kinetics(self, arrhenius_class=False): + def to_cantera_kinetics(self): """ Converts the RMG Arrhenius object to a cantera ArrheniusRate or the auxiliary cantera Arrhenius class (used by falloff reactions). Inputs for both are (A,b,E) where A is in units of m^3/kmol/s, b is dimensionless, and E is in J/kmol - - arrhenius_class: If ``True``, uses cantera.Arrhenius (for falloff reactions). If ``False``, uses - Cantera.ArrheniusRate """ import cantera as ct @@ -269,10 +266,7 @@ cdef class Arrhenius(KineticsModel): b = self._n.value_si E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol - if arrhenius_class: - return ct.Arrhenius(A, b, E) - else: - return ct.ArrheniusRate(A, b, E) + return ct.ArrheniusRate(A, b, E) def set_cantera_kinetics(self, ct_reaction, species_list): """ @@ -924,7 +918,7 @@ cdef class PDepArrhenius(PDepKineticsModel): assert isinstance(ct_reaction.rate, ct.PlogRate), "Must have a Cantera PlogRate attribute" pressures = copy.deepcopy(self._pressures.value_si) - ctArrhenius = [arr.to_cantera_kinetics(arrhenius_class=True) for arr in self.arrhenius] + ctArrhenius = [arr.to_cantera_kinetics() for arr in self.arrhenius] new_rates = ct.PlogRate(list(zip(pressures, ctArrhenius))) ct_reaction.rate = new_rates diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx index bc7de3650f5..dbca9b7d950 100644 --- a/rmgpy/kinetics/falloff.pyx +++ b/rmgpy/kinetics/falloff.pyx @@ -234,8 +234,8 @@ cdef class Lindemann(PDepKineticsModel): """ import cantera as ct - high_rate = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) - low_rate = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) + high_rate = self.arrheniusHigh.to_cantera_kinetics() + low_rate = self.arrheniusLow.to_cantera_kinetics() return ct.LindemannRate(low=low_rate, high=high_rate) @@ -413,6 +413,6 @@ cdef class Troe(PDepKineticsModel): T2 = self.T2.value_si falloff = [A, T3, T1, T2] - high = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) - low = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) + high = self.arrheniusHigh.to_cantera_kinetics() + low = self.arrheniusLow.to_cantera_kinetics() return ct.TroeRate(high=high, low=low, falloff_coeffs=falloff) From 21b3a7fcdd5a73e99c52d37943ca73bffaa66a3d Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 5 Mar 2026 11:08:21 -0500 Subject: [PATCH 208/700] directly test attributes rather than the repr --- test/rmgpy/reactionTest.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/reactionTest.py b/test/rmgpy/reactionTest.py index f2cb3ed91d4..a11d773f11f 100644 --- a/test/rmgpy/reactionTest.py +++ b/test/rmgpy/reactionTest.py @@ -3035,8 +3035,12 @@ def test_falloff(self): ct_lindemann = self.lindemann.to_cantera(self.species_list, use_chemkin_identifier=True) assert type(ct_lindemann.rate) == type(self.ct_lindemann.rate) assert ct_lindemann.third_body.efficiencies == self.ct_lindemann.third_body.efficiencies - assert str(ct_lindemann.rate.low_rate) == str(self.ct_lindemann.rate.low_rate) - assert str(ct_lindemann.rate.high_rate) == str(self.ct_lindemann.rate.high_rate) + assert round(abs(ct_lindemann.rate.low_rate.activation_energy - self.ct_lindemann.rate.low_rate.activation_energy), 3) == 0 + assert round(abs(ct_lindemann.rate.low_rate.pre_exponential_factor - self.ct_lindemann.rate.low_rate.pre_exponential_factor), 3) == 0 + assert round(abs(ct_lindemann.rate.low_rate.temperature_exponent - self.ct_lindemann.rate.low_rate.temperature_exponent), 3) == 0 + assert round(abs(ct_lindemann.rate.high_rate.activation_energy - self.ct_lindemann.rate.high_rate.activation_energy), 3) == 0 + assert round(abs(ct_lindemann.rate.high_rate.pre_exponential_factor - self.ct_lindemann.rate.high_rate.pre_exponential_factor), 3) == 0 + assert round(abs(ct_lindemann.rate.high_rate.temperature_exponent - self.ct_lindemann.rate.high_rate.temperature_exponent), 3) == 0 class TestChargeTransferReaction: From 4beb257e276a27789f78f6f26efae5fdfa720ee7 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 5 Mar 2026 11:16:04 -0500 Subject: [PATCH 209/700] resolve some annoying warnings --- rmgpy/qm/gaussian.py | 4 ++-- rmgpy/qm/mopac.py | 3 +-- test/database/databaseTest.py | 18 +++++++++--------- 3 files changed, 12 insertions(+), 13 deletions(-) diff --git a/rmgpy/qm/gaussian.py b/rmgpy/qm/gaussian.py index e295b7e5446..1b39e049fe5 100644 --- a/rmgpy/qm/gaussian.py +++ b/rmgpy/qm/gaussian.py @@ -27,12 +27,12 @@ # # ############################################################################### -import distutils.spawn import itertools import logging import os import re from subprocess import Popen +import shutil import cclib @@ -55,7 +55,7 @@ class Gaussian: for exe in executablesToTry: try: - executable_path = distutils.spawn.find_executable(exe) + executable_path = shutil.which(exe) except: executable_path = None if executable_path is not None: diff --git a/rmgpy/qm/mopac.py b/rmgpy/qm/mopac.py index 357bdd67385..22bb2ad511a 100644 --- a/rmgpy/qm/mopac.py +++ b/rmgpy/qm/mopac.py @@ -27,7 +27,6 @@ # # ############################################################################### -import distutils.spawn import logging import os import re @@ -52,7 +51,7 @@ class Mopac(object): input_file_extension = ".mop" output_file_extension = ".out" - executable_path = distutils.spawn.find_executable("mopac") + executable_path = shutil.which("mopac") use_polar = False # use polar keyword in MOPAC diff --git a/test/database/databaseTest.py b/test/database/databaseTest.py index 3663af56f01..3af53f5ac3d 100644 --- a/test/database/databaseTest.py +++ b/test/database/databaseTest.py @@ -463,12 +463,12 @@ def kinetics_check_surface_library_reactions_have_surface_attributes(self, libra failed = False if "_Pt" in library.label: for entry in entries: - if entry.metal is not "Pt": + if entry.metal != "Pt": logging.error(f"Expected {entry} metal attribute in {library} library to match Pt, but was {entry.metal}") failed = True if "_Ni" in library.label: for entry in entries: - if entry.metal is not "Ni": + if entry.metal != "Ni": logging.error(f"Expected {entry} metal attribute in {library} library to match Ni, but was {entry.metal}") failed = True for entry in entries: @@ -1090,7 +1090,7 @@ def kinetics_check_cd_atom_type(self, family_name): continue # Create list of all the atomTypes that should be present in addition or instead of Cd correct_atom_list = [] - num_of_d_bonds = sum([1 if x.order[0] is "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()]) + num_of_d_bonds = sum([1 if x.order[0] == "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()]) if num_of_d_bonds == 2: correct_atom_list.append("Cdd") elif num_of_d_bonds == 1: @@ -1675,11 +1675,11 @@ def check_surface_thermo_groups_have_surface_attributes(self, group_name, group) for entry in group.entries.values(): if isinstance(entry.data, rmgpy.thermo.thermodata.ThermoData): if "Pt" in group_name: - if entry.metal is not "Pt": + if entry.metal != "Pt": logging.error(f"Expected {entry} metal attribute in {group_name} group to match Pt, but was {entry.metal}") failed = True if "111" in group_name: - if entry.facet is not "111": + if entry.facet != "111": logging.error(f"Expected {entry} facet attribute in {group_name} group to match 111, but was {entry.facet}") failed = True if not entry.metal: @@ -1701,15 +1701,15 @@ def check_surface_thermo_libraries_have_surface_attributes(self, library_name, l failed = False for entry in library.entries.values(): if "Pt" in library_name: - if entry.metal is not "Pt": + if entry.metal != "Pt": logging.error(f"Expected {entry} metal attribute in {library_name} library to match Pt, but was {entry.metal}") failed = True if "Ni" in library_name: - if entry.metal is not "Ni": + if entry.metal != "Ni": logging.error(f"Expected {entry} metal attribute in {library_name} library to match Ni, but was {entry.metal}") failed = True if "111" in library_name: - if entry.facet is not "111": + if entry.facet != "111": logging.error(f"Expected {entry} facet attribute in {library_name} library to match 111, but was {entry.facet}") failed = True if not entry.metal: @@ -1929,7 +1929,7 @@ def general_check_cd_atom_type(self, group_name, group): continue # figure out what the correct atomtype is correct_atom_list = [] - num_of_d_bonds = sum([1 if x.order[0] is "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()]) + num_of_d_bonds = sum([1 if x.order[0] == "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()]) if num_of_d_bonds == 2: correct_atom_list.append("Cdd") elif num_of_d_bonds == 1: From ad309293b776e28e7af8a7df4ad183b5a88f5064 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 5 Mar 2026 22:23:43 -0500 Subject: [PATCH 210/700] Revert "remove option to use deprecated cantera api" This reverts commit ab15a7b6433d6de4939f695fc5ee026f31ab25cf. --- rmgpy/kinetics/arrhenius.pyx | 12 +++++++++--- rmgpy/kinetics/falloff.pyx | 8 ++++---- 2 files changed, 13 insertions(+), 7 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index baf1d5eba76..ea9e462d4f8 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -232,11 +232,14 @@ cdef class Arrhenius(KineticsModel): """ self._A.value_si *= factor - def to_cantera_kinetics(self): + def to_cantera_kinetics(self, arrhenius_class=False): """ Converts the RMG Arrhenius object to a cantera ArrheniusRate or the auxiliary cantera Arrhenius class (used by falloff reactions). Inputs for both are (A,b,E) where A is in units of m^3/kmol/s, b is dimensionless, and E is in J/kmol + + arrhenius_class: If ``True``, uses cantera.Arrhenius (for falloff reactions). If ``False``, uses + Cantera.ArrheniusRate """ import cantera as ct @@ -266,7 +269,10 @@ cdef class Arrhenius(KineticsModel): b = self._n.value_si E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol - return ct.ArrheniusRate(A, b, E) + if arrhenius_class: + return ct.Arrhenius(A, b, E) + else: + return ct.ArrheniusRate(A, b, E) def set_cantera_kinetics(self, ct_reaction, species_list): """ @@ -918,7 +924,7 @@ cdef class PDepArrhenius(PDepKineticsModel): assert isinstance(ct_reaction.rate, ct.PlogRate), "Must have a Cantera PlogRate attribute" pressures = copy.deepcopy(self._pressures.value_si) - ctArrhenius = [arr.to_cantera_kinetics() for arr in self.arrhenius] + ctArrhenius = [arr.to_cantera_kinetics(arrhenius_class=True) for arr in self.arrhenius] new_rates = ct.PlogRate(list(zip(pressures, ctArrhenius))) ct_reaction.rate = new_rates diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx index dbca9b7d950..bc7de3650f5 100644 --- a/rmgpy/kinetics/falloff.pyx +++ b/rmgpy/kinetics/falloff.pyx @@ -234,8 +234,8 @@ cdef class Lindemann(PDepKineticsModel): """ import cantera as ct - high_rate = self.arrheniusHigh.to_cantera_kinetics() - low_rate = self.arrheniusLow.to_cantera_kinetics() + high_rate = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) + low_rate = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) return ct.LindemannRate(low=low_rate, high=high_rate) @@ -413,6 +413,6 @@ cdef class Troe(PDepKineticsModel): T2 = self.T2.value_si falloff = [A, T3, T1, T2] - high = self.arrheniusHigh.to_cantera_kinetics() - low = self.arrheniusLow.to_cantera_kinetics() + high = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) + low = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) return ct.TroeRate(high=high, low=low, falloff_coeffs=falloff) From 961185d04049924da113cf01e647c9b5085c716c Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 12 Mar 2026 14:48:03 -0400 Subject: [PATCH 211/700] Fix pdep reaction deepcopy error using deepcopy on rmgpy.rmg.pdep.PDepReaction fails. This fixes the bug in __reduce__ where the parameters do not match the order of __init__ and then adds tests to make sure the copy function works --- rmgpy/rmg/pdep.py | 1 + test/rmgpy/rmg/pdepTest.py | 28 ++++++++++++++++++++++++++-- 2 files changed, 27 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 7e5050daf0a..237cdada2a4 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -96,6 +96,7 @@ def __reduce__(self): self.specific_collider, self.network, self.kinetics, + self.network_kinetics, self.reversible, self.transition_state, self.duplicate, diff --git a/test/rmgpy/rmg/pdepTest.py b/test/rmgpy/rmg/pdepTest.py index fc7d4080045..ce35ce260e2 100644 --- a/test/rmgpy/rmg/pdepTest.py +++ b/test/rmgpy/rmg/pdepTest.py @@ -31,12 +31,12 @@ from copy import deepcopy -from rmgpy.kinetics.arrhenius import Arrhenius +from rmgpy.kinetics import Arrhenius, Chebyshev from rmgpy.pdep.collision import SingleExponentialDown from rmgpy.pdep.configuration import Configuration from rmgpy.pdep.network import Network from rmgpy.reaction import Reaction -from rmgpy.rmg.pdep import PDepNetwork +from rmgpy.rmg.pdep import PDepNetwork, PDepReaction from rmgpy.species import Species, TransitionState from rmgpy.statmech.conformer import Conformer from rmgpy.statmech.rotation import NonlinearRotor @@ -357,6 +357,19 @@ def setup_class(self): self.pdepnetwork.index = 1 self.pdepnetwork.explored = [] + + self.pdep_reaction = PDepReaction() + + self.pdep_reaction.reactants = [Species(smiles='[CH3]'), Species(smiles='[CH2]CC')] + self.pdep_reaction.products = [Species(smiles='CCCC')] + self.pdep_reaction.label = 'my reaction' + self.pdep_reaction.kinetics = Chebyshev(coeffs=[[13.07,0.1724,-0.0396,0.001702],[-0.7274,0.321,-0.07073,0.001855], + [-0.3293,0.2585,-0.04933,-0.001644],[-0.1983,0.1786,-0.02421,-0.00471], + [-0.1194,0.104,-0.004073,-0.005676],[-0.06581,0.04897,0.00688,-0.004585]], + kunits='cm^3/(mol*s)', Tmin=(300,'K'), Tmax=(2000,'K'), Pmin=(0.01,'atm'), Pmax=(98.692,'atm')) + self.pdep_reaction.reversible + + def test_energy_filter(self): rxns = self.pdepnetwork.get_energy_filtered_reactions(1000.0, 0.0) assert len(rxns) == 1 @@ -365,3 +378,14 @@ def test_energy_filter(self): def test_flux_filter(self): prods = self.pdepnetwork.get_rate_filtered_products(1000.0, 100000.0, 1.0) assert len(prods) == 0 + + def test_copy(self): + copy_pdep_reaction = deepcopy(self.pdep_reaction) + + assert copy_pdep_reaction.is_isomorphic(self.pdep_reaction) + assert copy_pdep_reaction.reactants[0].is_isomorphic(self.pdep_reaction.reactants[0]) + assert copy_pdep_reaction.reactants[1].is_isomorphic(self.pdep_reaction.reactants[1]) + assert copy_pdep_reaction.products[0].is_isomorphic(self.pdep_reaction.products[0]) + assert copy_pdep_reaction.label == self.pdep_reaction.label + assert copy_pdep_reaction.kinetics.is_identical_to(self.pdep_reaction.kinetics) + assert copy_pdep_reaction.reversible == self.pdep_reaction.reversible From cf9e90efb90226645b4b6ac7b5f40d7757bd219c Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 10 Mar 2026 12:06:46 -0400 Subject: [PATCH 212/700] Delete unreachable code in _make_rule It looks like the unreachable code is just a slight variation of the code above it and was never intended to be included in the first place. --- rmgpy/data/kinetics/family.py | 63 ----------------------------------- 1 file changed, 63 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 09553473994..eb7223836e9 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4670,69 +4670,6 @@ def _make_rule(rr): else: return None - if isinstance(rs[0].kinetics, Arrhenius): - arr = ArrheniusBM - else: - arr = ArrheniusChargeTransferBM - if n > 1: - kin = arr().fit_to_reactions(rs, recipe=recipe) - if n == 1 or kin.E0.value_si < 0.0: - # still run it through the averaging function when n=1 to standardize the units and run checks - kin = average_kinetics([r.kinetics for r in rs]) - if n == 1: - kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) - kin.comment = f"Only one reaction rate: {rs[0]!s}" - else: - kin.comment = f"Blowers-Masel fit was bad (E0<0) so instead averaged from {n} reactions." - dlnks = np.array([ - np.log( - average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 - # weighted average calculations - ws = 1.0 / varis - V1 = ws.sum() - V2 = (ws ** 2).sum() - mu = np.dot(ws, dlnks) / V1 - s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) - kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) - else: # Blowers-Masel fit was good - if isinstance(rs[0].kinetics, Arrhenius): - dlnks = np.array([ - np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) - .to_arrhenius(rxn.get_enthalpy_of_reaction(298.)) - .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - else: # SurfaceChargeTransfer or ArrheniusChargeTransfer - dlnks = np.array([ - np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) - .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(298.)) - .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 - # weighted average calculations - ws = 1.0 / varis - V1 = ws.sum() - V2 = (ws ** 2).sum() - mu = np.dot(ws, dlnks) / V1 - s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) - kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) - - #site solute parameters - site_datas = [get_site_solute_data(rxn) for rxn in rxns] - site_datas = [sdata for sdata in site_datas if sdata is not None] - if len(site_datas) > 0: - site_data = SoluteTSData() - for sdata in site_datas: - site_data += sdata - site_data = site_data * (1.0/len(site_datas)) - kin.solute = site_data - return kin def _spawn_tree_process(family, template_rxn_map, obj, T, nprocs, depth, min_splitable_entry_num, min_rxns_to_spawn, extension_iter_max, extension_iter_item_cap): parent_conn, child_conn = mp.Pipe() From 1b8a29570671f32ecd27c0662922016d4c2e6bc9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 13:16:04 -0400 Subject: [PATCH 213/700] fix(build): deduplicate duplicate LC_RPATH entries on macOS after install MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Some conda Python builds on macOS inject the same -Wl,-rpath,$CONDA_PREFIX/lib fragment more than once via Python/sysconfig linker flags. During extension builds, that duplication is propagated into generated .so files as duplicate LC_RPATH load commands. Applicable scope: macOS builds environments where Python/linker config emits duplicate rpath flags most visible in conda-based developer installs Manifestation: make test fails during import/collection across many modules errors look like: ImportError: dlopen(...): duplicate LC_RPATH '.../env/lib' Solution: add a macOS-only post-install Make target invoked from install scan built rmgpy/*.so extensions if more than one LC_RPATH points to $CONDA_PREFIX/lib, remove extras with install_name_tool -delete_rpath until one remains Why this works: the failure is triggered by duplicate runtime search paths embedded in Mach-O extension binaries removing redundant LC_RPATH entries keeps the intended search path while satisfying the dynamic loader’s constraints fix is local, repeatable, and avoids patching user Python/conda internals --- Makefile | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 4d51786d4bf..d62155e0783 100644 --- a/Makefile +++ b/Makefile @@ -7,7 +7,7 @@ CC=gcc CXX=g++ -.PHONY : all check clean install decython documentation test q2dtor +.PHONY : all check clean install decython documentation test q2dtor fix-rpath-macos all: check install check @@ -29,6 +29,34 @@ clean-solver: install: @ python utilities.py check-pydas python -m pip install --no-build-isolation -vv -e . + @$(MAKE) fix-rpath-macos + +fix-rpath-macos: + @if [ "$$(uname -s)" != "Darwin" ]; then \ + exit 0; \ + fi + @if [ -z "$$CONDA_PREFIX" ]; then \ + echo "Skipping macOS rpath deduplication (CONDA_PREFIX is not set)."; \ + exit 0; \ + fi + @echo "Checking for duplicate LC_RPATH entries in rmgpy extension modules..." + @fixed=0; \ + for so in $$(find rmgpy -type f -name '*.so'); do \ + count=$$(otool -l "$$so" | awk '/cmd LC_RPATH/{getline; getline; print}' | grep -F "path $$CONDA_PREFIX/lib" | wc -l | tr -d ' '); \ + if [ "$$count" -gt 1 ]; then \ + echo "Removing duplicate LC_RPATH from $$so ($$count entries found)"; \ + while [ "$$count" -gt 1 ]; do \ + install_name_tool -delete_rpath "$$CONDA_PREFIX/lib" "$$so" || break; \ + count=$$(otool -l "$$so" | awk '/cmd LC_RPATH/{getline; getline; print}' | grep -F "path $$CONDA_PREFIX/lib" | wc -l | tr -d ' '); \ + done; \ + fixed=$$((fixed + 1)); \ + fi; \ + done; \ + if [ "$$fixed" -eq 0 ]; then \ + echo "No duplicate LC_RPATH entries found."; \ + else \ + echo "Deduplicated LC_RPATH entries in $$fixed extension module(s)."; \ + fi q2dtor: @ echo -e "\nInstalling Q2DTor...\n" From 50cf4685bbd33c1ad2369c24bed790176da1dd03 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 14:47:43 -0400 Subject: [PATCH 214/700] Revert "fix(build): deduplicate duplicate LC_RPATH entries on macOS after install" This reverts commit b27610cc6b5ab8c0bbf124bedeb86fe7e437bd4a. The fix works, but it causes pip to re-compile all the Cython extensions every time, which is a huge slowdown. We need to find a better way to fix the duplicate LC_RPATH entries without modifying the install directory after the fact, which I will do in a subsequent commit. --- Makefile | 30 +----------------------------- 1 file changed, 1 insertion(+), 29 deletions(-) diff --git a/Makefile b/Makefile index d62155e0783..4d51786d4bf 100644 --- a/Makefile +++ b/Makefile @@ -7,7 +7,7 @@ CC=gcc CXX=g++ -.PHONY : all check clean install decython documentation test q2dtor fix-rpath-macos +.PHONY : all check clean install decython documentation test q2dtor all: check install check @@ -29,34 +29,6 @@ clean-solver: install: @ python utilities.py check-pydas python -m pip install --no-build-isolation -vv -e . - @$(MAKE) fix-rpath-macos - -fix-rpath-macos: - @if [ "$$(uname -s)" != "Darwin" ]; then \ - exit 0; \ - fi - @if [ -z "$$CONDA_PREFIX" ]; then \ - echo "Skipping macOS rpath deduplication (CONDA_PREFIX is not set)."; \ - exit 0; \ - fi - @echo "Checking for duplicate LC_RPATH entries in rmgpy extension modules..." - @fixed=0; \ - for so in $$(find rmgpy -type f -name '*.so'); do \ - count=$$(otool -l "$$so" | awk '/cmd LC_RPATH/{getline; getline; print}' | grep -F "path $$CONDA_PREFIX/lib" | wc -l | tr -d ' '); \ - if [ "$$count" -gt 1 ]; then \ - echo "Removing duplicate LC_RPATH from $$so ($$count entries found)"; \ - while [ "$$count" -gt 1 ]; do \ - install_name_tool -delete_rpath "$$CONDA_PREFIX/lib" "$$so" || break; \ - count=$$(otool -l "$$so" | awk '/cmd LC_RPATH/{getline; getline; print}' | grep -F "path $$CONDA_PREFIX/lib" | wc -l | tr -d ' '); \ - done; \ - fixed=$$((fixed + 1)); \ - fi; \ - done; \ - if [ "$$fixed" -eq 0 ]; then \ - echo "No duplicate LC_RPATH entries found."; \ - else \ - echo "Deduplicated LC_RPATH entries in $$fixed extension module(s)."; \ - fi q2dtor: @ echo -e "\nInstalling Q2DTor...\n" From 8e124b802d298053b8a70c89fc0d073c4a0ff2a6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 15:09:51 -0400 Subject: [PATCH 215/700] Fix macOS import errors by deduplicating RPATH flags from sysconfig On macOS, Python builds from conda-forge can include duplicate -Wl,-rpath entries in sysconfig variables (LDFLAGS, LDSHARED, BLDSHARED, PY_LDFLAGS). When these flags are used to compile extension modules, the duplicates propagate into the resulting Mach-O binaries as repeated LC_RPATH load commands. Recent macOS versions (e.g., Sequoia / 15.x) reject binaries with duplicate LC_RPATH, causing import failures such as: ImportError: dlopen(...): duplicate LC_RPATH '...' This change defensively deduplicates linker flags at build time by patching the in-memory sysconfig variables before setuptools/build_ext constructs the linker command. This ensures that generated extension modules contain only unique RPATH entries. Key points: Applies only on macOS (sys.platform == 'darwin') Leaves the conda environment and installed Python untouched Prevents duplicate LC_RPATH in compiled .so files Fixes import errors without requiring changes to user environments or toolchains This is a targeted workaround for upstream sysconfig duplication issues in conda-based Python builds. --- setup.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 5d803202c53..39a35d7d4a9 100644 --- a/setup.py +++ b/setup.py @@ -27,8 +27,26 @@ # # ############################################################################### +import sys + from setuptools import setup - + +# On macOS, conda-forge Python bakes duplicate -Wl,-rpath flags into its sysconfig data, +# which causes every compiled extension to have duplicate LC_RPATH Mach-O load commands +# that macOS rejects on import. Deduplicate the linker flags here, before Cython +# generates any .so files, so they are built clean. This patches the live dict that +# setuptools reads during build_ext, keeping the conda env itself untouched. +if sys.platform == 'darwin': + import sysconfig as _sysconfig + _cv = _sysconfig.get_config_vars() + for _k in ('LDFLAGS', 'LDSHARED', 'BLDSHARED', 'PY_LDFLAGS'): + _v = _cv.get(_k) or '' + if _v: + _seen: set = set() + _cv[_k] = ' '.join(x for x in _v.split() if not (x in _seen or _seen.add(x))) + if _v != _cv[_k]: + print(f"Deduplicated {_k} from '{_v}' to '{_cv[_k]}'") + try: from Cython.Build import cythonize from Cython.Compiler import Options From d53addf6b95d16c8c71378bd60ad0eb8fdeb193c Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 22:13:13 -0400 Subject: [PATCH 216/700] Update .conda/meta.yaml for conda build dependencies (Cantera) Updated .conda/meta.yaml to match the important version constraints from environment.yml: cantera from =2.6 to >=3.0 Also used a YAML anchor so host, run, and test.requires share one source of truth, instead of duplicated lists. Also removed the repeated graphviz entry --- .conda/meta.yaml | 111 +++-------------------------------------------- 1 file changed, 7 insertions(+), 104 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index bb0cf0be930..c9a456c7137 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -14,13 +14,13 @@ source: build: number: 0 script: | - python utilities.py check-pydas # write the rmgpy/solver/settings.pxi file - python setup.py install --single-version-externally-managed --record=record.txt + {{ PYTHON }} utilities.py check-pydas # write the rmgpy/solver/settings.pxi file + {{ PYTHON }} setup.py install --single-version-externally-managed --record=record.txt requirements: build: - {{ compiler('c') }} - host: + host: &runtime_requirements - conda-forge::cairo - conda-forge::cairocffi - conda-forge::ffmpeg >=7 @@ -32,64 +32,14 @@ requirements: - conda-forge::psutil - conda-forge::ncurses - conda-forge::suitesparse - - conda-forge::graphviz - conda-forge::pyopenssl >20 - conda-forge::coolprop - - conda-forge::cantera =2.6 + - conda-forge::cantera >=3.0 - conda-forge::mopac - conda-forge::cclib >=1.6.3,<1.9 - conda-forge::openbabel >=3 - conda-forge::rdkit >=2022.09.1 - - conda-forge::python >=3.9 - - conda-forge::setuptools <80 - - conda-forge::coverage - - conda-forge::cython >=0.25.2,<3.1 - - conda-forge::scikit-learn - - conda-forge::scipy >=1.9 - - conda-forge::numpy >=1.10.0,<2 - - conda-forge::pydot - - conda-forge::jinja2 - - conda-forge::jupyter - - conda-forge::pymongo - - conda-forge::pyparsing - - conda-forge::pyyaml - - conda-forge::networkx - - conda-forge::pytest - - conda-forge::pytest-cov - - conda-forge::pytest-check - - conda-forge::pyutilib - - conda-forge::matplotlib >=1.5 - - conda-forge::mpmath - - conda-forge::pandas - - conda-forge::gprof2dot - - conda-forge::numdifftools - - conda-forge::quantities !=0.16.0,!=0.16.1 - - rmg::pydas >=1.0.3 - - rmg::pydqed >=1.0.3 - - rmg::symmetry - - rmg::rmgdatabase =3.3.0 - - blas=*=openblas - run: - - conda-forge::cairo - - conda-forge::cairocffi - - conda-forge::ffmpeg >=7 - - conda-forge::xlrd - - conda-forge::xlwt - - conda-forge::h5py - - conda-forge::graphviz >=12 - - conda-forge::markupsafe - - conda-forge::psutil - - conda-forge::ncurses - - conda-forge::suitesparse - - conda-forge::graphviz - - conda-forge::pyopenssl >20 - - conda-forge::coolprop - - conda-forge::cantera =2.6 - - conda-forge::mopac - - conda-forge::cclib >=1.6.3,<1.9 - - conda-forge::openbabel >=3 - - conda-forge::rdkit >=2022.09.1 - - conda-forge::python >=3.9 + - conda-forge::python >=3.9,<3.12 - conda-forge::setuptools <80 - conda-forge::coverage - conda-forge::cython >=0.25.2,<3.1 @@ -118,56 +68,9 @@ requirements: - rmg::symmetry - rmg::rmgdatabase =3.3.0 - blas=*=openblas + run: *runtime_requirements test: - requires: - - conda-forge::cairo - - conda-forge::cairocffi - - conda-forge::ffmpeg >=7 - - conda-forge::xlrd - - conda-forge::xlwt - - conda-forge::h5py - - conda-forge::graphviz >=12 - - conda-forge::markupsafe - - conda-forge::psutil - - conda-forge::ncurses - - conda-forge::suitesparse - - conda-forge::graphviz - - conda-forge::pyopenssl >20 - - conda-forge::coolprop - - conda-forge::cantera =2.6 - - conda-forge::mopac - - conda-forge::cclib >=1.6.3,<1.9 - - conda-forge::openbabel >=3 - - conda-forge::rdkit >=2022.09.1 - - conda-forge::python >=3.9 - - conda-forge::setuptools <80 - - conda-forge::coverage - - conda-forge::cython >=0.25.2,<3.1 - - conda-forge::scikit-learn - - conda-forge::scipy >=1.9 - - conda-forge::numpy >=1.10.0,<2 - - conda-forge::pydot - - conda-forge::jinja2 - - conda-forge::jupyter - - conda-forge::pymongo - - conda-forge::pyparsing - - conda-forge::pyyaml - - conda-forge::networkx - - conda-forge::pytest - - conda-forge::pytest-cov - - conda-forge::pytest-check - - conda-forge::pyutilib - - conda-forge::matplotlib >=1.5 - - conda-forge::mpmath - - conda-forge::pandas - - conda-forge::gprof2dot - - conda-forge::numdifftools - - conda-forge::quantities !=0.16.0,!=0.16.1 - - rmg::pydas >=1.0.3 - - rmg::pydqed >=1.0.3 - - rmg::symmetry - - rmg::rmgdatabase =3.3.0 - - blas=*=openblas + requires: *runtime_requirements source_files: - 'examples/rmg/superminimal' - 'examples/arkane/networks/n-butanol_msc' From 9446c1d85d37adfca3c3f440b3f84c3bbd3554f3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 22:15:15 -0400 Subject: [PATCH 217/700] Remove repeated graphviz from environment.yml. It was in there twice --- environment.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/environment.yml b/environment.yml index c9ce3bc1775..fc6bace6b3c 100644 --- a/environment.yml +++ b/environment.yml @@ -36,6 +36,7 @@ dependencies: - conda-forge::xlrd - conda-forge::xlwt - conda-forge::h5py + # keep graphviz from conda-forge; see https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2750 - conda-forge::graphviz >=12 - conda-forge::markupsafe - conda-forge::psutil @@ -43,8 +44,6 @@ dependencies: # (see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2421) - conda-forge::ncurses - conda-forge::suitesparse - # see https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2750 - - conda-forge::graphviz # ThermoCentralDatabaseInterface fails if pyopenssl is too old. 20 is just a guess at the version number. - conda-forge::pyopenssl >20 From 17e47f6b716f7940a39c0dea28c2f3d1597bd5b2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 22:29:22 -0400 Subject: [PATCH 218/700] Removed the changelog from environment.yml That's what `git log - environment.yml` is helpful for. This list was out of date, and maintaining it is extra burden. Replaced it with a reminder to update the .conda/meta.yaml --- environment.yml | 14 +++----------- 1 file changed, 3 insertions(+), 11 deletions(-) diff --git a/environment.yml b/environment.yml index fc6bace6b3c..39a5da8a661 100644 --- a/environment.yml +++ b/environment.yml @@ -11,17 +11,9 @@ # - other software we maintain which RMG depends on # + some other categories (see below) # -# Changelog: -# - May 15, 2023 Added this changelog, added inline documentation, -# made dependency list more explicit (@JacksonBurns). -# - October 16, 2023 Switched RDKit and descripatastorus to conda-forge, -# moved diffeqpy to pip and (temporarily) removed chemprop -# - April 17, 2024 Limit versions of cclib at advice of maintainers. -# - August 4, 2024 Restricted pyrms to <2 -# - May 14, 2024 Removed diffeqpy by switching to call SciMLBase and Sundials using JuliaCall -# - March 15, 2024 - started migration to Python 3.9 -# - April 14, 2025 Removed Julia dependencies, now considered optional -# +# ====================================================================== +# !! WHEN UPDATING THIS FILE REMEMBER TO ALSO UPDATE .conda/meta.yaml !! +# ====================================================================== name: rmg_env channels: - conda-forge From 6798d0eebaf8f4b8ea2c8ec5995e972541a6cf93 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 22:33:48 -0400 Subject: [PATCH 219/700] Added some code review tips to .github/copilot-instructions.md Inspired by wanting some way to check the environment stays in sync. --- .github/copilot-instructions.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 1b028740160..44ff819ea38 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -159,6 +159,17 @@ Documentation lives in `documentation/source/` and is built with Sphinx (`make d - **Changed behavior**: Update relevant user guide section - **New features**: Add to `documentation/source/users/rmg/features.rst` or create and link to new `.rst` file +## Pull Request Review Guidance +### Review Priorities +- Verify changed behavior is covered by tests, or request targeted tests for uncovered paths. +- Check that user-facing changes include required documentation updates (especially input syntax in `documentation/source/users/rmg/input.rst`). +- Confirm Cython changes are complete (`.pyx`/`.pxd` parity, required setup wiring, and likely rebuild impact). +- Watch for performance regressions in hot paths (`rmgpy/molecule/`, `rmgpy/solver/`, kinetics generation loops). + +### Other checks +- If `environment.yml` or `.conda/meta.yaml` change, verify they are consistent. +- For changes that affect data loading or estimators, verify assumptions against RMG-database integration points in `rmgpy/data/rmg.py` and related loaders. + ## Style Guidelines - Follow PEP 8 for new or modified code, but don't modify code just to fix style - Docstrings describe purpose, not implementation From 73a6218ba6dbae6730b0464a91cc8fb5bd705a49 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 24 Mar 2026 20:37:40 +0000 Subject: [PATCH 220/700] Restore incremental builds: add build target using build_ext --inplace Co-authored-by: rwest <93807+rwest@users.noreply.github.com> Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/ab30faf9-6de6-465b-a312-014510c5497f --- Makefile | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/Makefile b/Makefile index 4d51786d4bf..5f3355e2e93 100644 --- a/Makefile +++ b/Makefile @@ -7,9 +7,9 @@ CC=gcc CXX=g++ -.PHONY : all check clean install decython documentation test q2dtor +.PHONY : all build check clean install decython documentation test q2dtor -all: check install check +all: check build check: @ python utilities.py check-dependencies @@ -30,6 +30,9 @@ install: @ python utilities.py check-pydas python -m pip install --no-build-isolation -vv -e . +build: + python setup.py build_ext --inplace + q2dtor: @ echo -e "\nInstalling Q2DTor...\n" @ echo -e "Q2DTor is a software for calculating the partition functions and themodynamic properties\ From 9ba1205c2773a82bc79ad919f06f1058b4848b05 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 24 Mar 2026 21:52:56 -0400 Subject: [PATCH 221/700] Makefile: use sentinel to detect installation. The goal is that `make` will install it if needed (with an editable install, which just links to the current source), but if it's already installed, then it'll just do an incremental build. Although calling setuptools directly is deprecated, it is one of the only clean ways to get incremental builds of the cython modules. --- Makefile | 35 ++++++++++++++++++++++++++--------- 1 file changed, 26 insertions(+), 9 deletions(-) diff --git a/Makefile b/Makefile index 5f3355e2e93..54d8303c56c 100644 --- a/Makefile +++ b/Makefile @@ -7,14 +7,37 @@ CC=gcc CXX=g++ +# Sentinel file written after a successful pip editable install. +# Lives in the source tree; deleted by `make clean`. +INSTALL_SENTINEL = .installed + .PHONY : all build check clean install decython documentation test q2dtor -all: check build +# Default target: ensure installed, then build any changed extensions in place. +all: check $(INSTALL_SENTINEL) build check check: @ python utilities.py check-dependencies @ python utilities.py check-pydas +define DO_INSTALL + @ python utilities.py check-pydas + python -m pip install --no-build-isolation -vv -e . + @ touch $(INSTALL_SENTINEL) +endef + +# Runs only if the sentinel doesn't exist. +$(INSTALL_SENTINEL): + $(DO_INSTALL) + +# Explicit install target +install: + $(DO_INSTALL) + +# Incremental in-place build; skips pip entirely. +build: + python setup.py build_ext --inplace + documentation: $(MAKE) -C documentation html @ echo "Start at: documentation/build/html/index.html" @@ -22,17 +45,11 @@ documentation: clean: @ python utilities.py clean python -m pip uninstall --yes reactionmechanismgenerator || true # can fail if RMG not installed at all + @ rm -f $(INSTALL_SENTINEL) clean-solver: @ python utilities.py clean-solver -install: - @ python utilities.py check-pydas - python -m pip install --no-build-isolation -vv -e . - -build: - python setup.py build_ext --inplace - q2dtor: @ echo -e "\nInstalling Q2DTor...\n" @ echo -e "Q2DTor is a software for calculating the partition functions and themodynamic properties\ @@ -115,7 +132,7 @@ eg7: all cp examples/rmg/gri_mech_rxn_lib/input.py testing/eg7/input.py @ echo "Running eg7: gri_mech_rxn_lib example" python rmg.py testing/eg7/input.py - + scoop: all mkdir -p testing/scoop rm -rf testing/scoop/* From 6d1a3856f58e80fe7dba439bc9c7d1c9972606b6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Mar 2026 13:55:26 -0400 Subject: [PATCH 222/700] Github Actions Workflows: update action versions and deprecations Node.js 20 actions are deprecated. The following actions are running on Node.js 20 and may not work as expected: actions/checkout@v4, conda-incubator/setup-miniconda@v3. Actions will be forced to run with Node.js 24 by default starting June 2nd, 2026 Unfortunately there is not yet a newer version of setup-miniconda than v3, although the main branch has been updated to Node.js 24 so it might not be long until they release v4. This also addresses that `auto-activate-base` is deprecated in Setup Miniforge. --- .github/workflows/CI.yml | 4 ++-- .github/workflows/annotate.yml | 2 +- .github/workflows/conda_build.yml | 4 ++-- .github/workflows/docs.yml | 4 ++-- .github/workflows/stale.yml | 2 +- 5 files changed, 8 insertions(+), 8 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 6612e81711c..6d78f41acad 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -77,7 +77,7 @@ jobs: shell: bash -l {0} steps: - name: Checkout RMG-Py - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Setup Miniforge Python ${{ matrix.python-version }} uses: conda-incubator/setup-miniconda@v3 @@ -138,7 +138,7 @@ jobs: shell: bash -l {0} steps: - name: Checkout RMG-Py - uses: actions/checkout@v4 + uses: actions/checkout@v6 - name: Setup Miniforge Python 3.9 uses: conda-incubator/setup-miniconda@v3 diff --git a/.github/workflows/annotate.yml b/.github/workflows/annotate.yml index 3052005bb05..027efe54501 100644 --- a/.github/workflows/annotate.yml +++ b/.github/workflows/annotate.yml @@ -21,7 +21,7 @@ jobs: steps: - run: echo 'The triggering workflow passed' - name: 'Download regression_summary artifact' - uses: actions/github-script@v6 + uses: actions/github-script@v8 with: script: | let allArtifacts = await github.rest.actions.listWorkflowRunArtifacts({ diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 6fa7de23a1c..4faaef8d22b 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -24,7 +24,7 @@ jobs: run: shell: bash -l {0} steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v6 - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 @@ -34,7 +34,7 @@ jobs: auto-update-conda: true show-channel-urls: true conda-remove-defaults: "true" - auto-activate-base: "true" + auto-activate: true activate-environment: "" - name: Install Build Tools diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 8aefce11149..f9cf674b0e9 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -22,7 +22,7 @@ jobs: git config --global user.email "github-actions@github.com" - name: Clone RMG-Py - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 @@ -68,7 +68,7 @@ jobs: make - name: Checkout gh-pages Branch - uses: actions/checkout@v2 + uses: actions/checkout@v6 with: ref: gh-pages fetch-depth: 0 diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml index d52056b4798..fd837d4a801 100644 --- a/.github/workflows/stale.yml +++ b/.github/workflows/stale.yml @@ -14,7 +14,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Check for Stale Issues and Pull Requests - uses: actions/stale@main + uses: actions/stale@v10 with: repo-token: ${{ secrets.GITHUB_TOKEN }} stale-issue-message: 'This issue is being automatically marked as stale because it has not received any interaction in the last 90 days. Please leave a comment if this is still a relevant issue, otherwise it will automatically be closed in 30 days.' From e71cb2ba2d8a7351692a285d97299e8d60616c77 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Tue, 24 Mar 2026 15:36:59 +0200 Subject: [PATCH 223/700] Get thermochemistry even for non-reactive species during model initialization --- rmgpy/rmg/main.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index da7f4f041c0..66a827e8890 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -648,8 +648,7 @@ def initialize(self, **kwargs): # Initialize reaction model for spec in self.initial_species: - if spec.reactive: - submit(spec, self.solvent) + submit(spec, self.solvent) if vapor_liquid_mass_transfer.enabled: spec.get_liquid_volumetric_mass_transfer_coefficient_data() spec.get_henry_law_constant_data() From 121afb98736ed13b314140b3b39343db16025d1f Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Tue, 24 Mar 2026 15:56:02 +0200 Subject: [PATCH 224/700] Tests: Added NOx2018 to the 1,3-hedadiene RMG example which runs with the regression tests --- examples/rmg/1,3-hexadiene/input.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/rmg/1,3-hexadiene/input.py b/examples/rmg/1,3-hexadiene/input.py index b335150a2d9..f3706af0f7d 100644 --- a/examples/rmg/1,3-hexadiene/input.py +++ b/examples/rmg/1,3-hexadiene/input.py @@ -1,7 +1,7 @@ # Data sources database( thermoLibraries = ['primaryThermoLibrary', 'GRI-Mech3.0'], - reactionLibraries = [], + reactionLibraries = ['NOx2018'], seedMechanisms = [], kineticsDepositories = ['training'], kineticsFamilies = 'default', From 698122b829e56d18aef265486a12280569628f3a Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 17 Mar 2026 18:47:25 +0000 Subject: [PATCH 225/700] Fix duplicate reactions: prevent re-adding same-template duplicate reactions in model Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- rmgpy/rmg/model.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 85b0bbe39c0..b541a794823 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -443,11 +443,25 @@ def check_for_existing_reaction(self, rxn): if isinstance(family_obj, KineticsLibrary) or isinstance(family_obj, KineticsFamily): if not rxn.duplicate: return True, rxn0 + elif (rxn.duplicate and rxn0.duplicate and isinstance(rxn, TemplateReaction) + and isinstance(rxn0, TemplateReaction) and rxn.template is not None + and rxn0.template is not None + and frozenset(rxn.template) == frozenset(rxn0.template)): + # Both reactions are duplicates (different templates for same species pair), + # but they use the same template - so this is a true duplicate that should + # not be added again + return True, rxn0 else: return True, rxn0 elif isinstance(family_obj, KineticsFamily) and rxn_id == rxn_id0[::-1] and are_identical_species_references(rxn, rxn0): if not rxn.duplicate: return True, rxn0 + elif (rxn.duplicate and rxn0.duplicate and isinstance(rxn, TemplateReaction) + and isinstance(rxn0, TemplateReaction) and rxn.template is not None + and rxn0.template is not None + and frozenset(rxn.template) == frozenset(rxn0.template)): + # Same template duplicate exists in reverse direction + return True, rxn0 # Now check seed mechanisms # We want to check for duplicates in *other* seed mechanisms, but allow From 358e8983c8e934189d543cc67f8c2e63c94d7d66 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Wed, 18 Mar 2026 14:00:36 +0000 Subject: [PATCH 226/700] Fix duplicate reverse reactions and add regression test Co-authored-by: sevyharris <30695172+sevyharris@users.noreply.github.com> --- rmgpy/rmg/model.py | 10 ++--- test/rmgpy/rmg/modelTest.py | 80 ++++++++++++++++++++++++++++++++++++- 2 files changed, 83 insertions(+), 7 deletions(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index b541a794823..b87fdb6ff93 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -456,11 +456,11 @@ def check_for_existing_reaction(self, rxn): elif isinstance(family_obj, KineticsFamily) and rxn_id == rxn_id0[::-1] and are_identical_species_references(rxn, rxn0): if not rxn.duplicate: return True, rxn0 - elif (rxn.duplicate and rxn0.duplicate and isinstance(rxn, TemplateReaction) - and isinstance(rxn0, TemplateReaction) and rxn.template is not None - and rxn0.template is not None - and frozenset(rxn.template) == frozenset(rxn0.template)): - # Same template duplicate exists in reverse direction + elif rxn.duplicate and rxn0.duplicate: + # The new reaction is a duplicate proposed from the reverse direction. + # Template labels differ between forward and reverse, so template + # comparison is not applicable here. Since the forward reaction is + # already in the model, the reverse direction is already accounted for. return True, rxn0 # Now check seed mechanisms diff --git a/test/rmgpy/rmg/modelTest.py b/test/rmgpy/rmg/modelTest.py index 8c460f5df48..2ea843e5d73 100644 --- a/test/rmgpy/rmg/modelTest.py +++ b/test/rmgpy/rmg/modelTest.py @@ -296,7 +296,7 @@ def setup_class(cls): """ A method that is run before each unit test in this class. """ - test_family = "H_Abstraction" + test_families = ["H_Abstraction", "intra_H_migration"] # set-up RMG object rmg = RMG() @@ -308,7 +308,7 @@ def setup_class(cls): # kinetics family loading rmg.database.load_kinetics( os.path.join(path, "kinetics"), - kinetics_families=[test_family], + kinetics_families=test_families, reaction_libraries=[], ) # load empty forbidden structures to avoid any dependence on forbidden structures @@ -822,6 +822,82 @@ def test_check_for_existing_reaction_removes_duplicates_in_opposite_directions( assert found, "check_for_existing_reaction failed to identify existing reaction in the reverse direction" assert rxn == rxn_f + def test_check_for_existing_reaction_eliminates_same_reaction_from_reverse_multiple_templates( + self, + ): + """ + Test that check_for_existing_reaction catches duplicate reactions + when there are multiple reaction sites (the model should have duplicates) + and the "new" reaction is equivalent to an existing one but proposed in the reverse. + + Specifically, the model already contains two forward intra_H_migration reactions + (different templates, both marked duplicate=True). When the same reactions are + subsequently generated in the reverse direction they must be recognised as already + present and not added a second time. + """ + cerm = CoreEdgeReactionModel() + + spcA = Species().from_smiles("CC(O[O])C(C)OO") + spcB = Species().from_smiles("[CH2]C(OO)C(C)OO") + spcA.label = "CC(O[O])C(C)OO" + spcB.label = "[CH2]C(OO)C(C)OO" + # Thermo values are not used by check_for_existing_reaction; use a placeholder. + spcA.thermo = THERMO_DICT["O"] + spcB.thermo = THERMO_DICT["O"] + + cerm.add_species_to_core(spcA) + cerm.add_species_to_core(spcB) + + # Two distinct forward reactions already in the model (different templates). + reaction_in_model1 = TemplateReaction( + reactants=[spcA], + products=[spcB], + family="intra_H_migration", + template=["R4H_SSS_O(Cs)Cs", "O_rad_out", "Cs_H_out_2H"], + duplicate=True, + ) + reaction_in_model2 = TemplateReaction( + reactants=[spcA], + products=[spcB], + family="intra_H_migration", + template=["R5H_SSSS_OCC_C", "O_rad_out", "Cs_H_out_2H"], + duplicate=True, + ) + + # The same reactions proposed in the reverse direction (different template labels, + # same physical transformation). + reaction_to_add1 = TemplateReaction( + reactants=[spcB], + products=[spcA], + family="intra_H_migration", + template=["R4H_SSS", "C_rad_out_2H", "O_H_out"], + duplicate=True, + ) + reaction_to_add2 = TemplateReaction( + reactants=[spcB], + products=[spcA], + family="intra_H_migration", + template=["R5H_SSSS", "C_rad_out_2H", "O_H_out"], + duplicate=True, + ) + + cerm.add_reaction_to_core(reaction_in_model1) + cerm.register_reaction(reaction_in_model1) + cerm.add_reaction_to_core(reaction_in_model2) + cerm.register_reaction(reaction_in_model2) + + found1, _ = cerm.check_for_existing_reaction(reaction_to_add1) + assert found1, ( + "check_for_existing_reaction failed to find existing duplicate (multiple sites) " + "when proposed from reverse (R4H template)" + ) + + found2, _ = cerm.check_for_existing_reaction(reaction_to_add2) + assert found2, ( + "check_for_existing_reaction failed to find existing duplicate (multiple sites) " + "when proposed from reverse (R5H template)" + ) + @classmethod def teardown_class(cls): """ From e4df6e97f78d0f48ba11a06197c5aa1068e79f22 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 19 Mar 2026 14:49:25 -0400 Subject: [PATCH 227/700] add comments for check_for_existing_reaction assumptions --- rmgpy/rmg/model.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index b87fdb6ff93..f937ac88424 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -416,6 +416,12 @@ def check_for_existing_reaction(self, rxn): in the reaction database are iterated over to check if a reaction was overlooked (a reaction with a different "family" key as the parameter reaction). + Note, this function assumes RMG is making the mechanism through its main loop, + where all forward duplicates from a family are found in a single enlarge step. + If you artificially construct your own a core-edge model and forget to include a + duplicate from the same family, but then try to add the missing reaction from + the reverse direction, this function will find the existing forward reaction and + assume you've already found all the duplicates. """ # Make sure the reactant and product lists are sorted before performing the check @@ -461,6 +467,9 @@ def check_for_existing_reaction(self, rxn): # Template labels differ between forward and reverse, so template # comparison is not applicable here. Since the forward reaction is # already in the model, the reverse direction is already accounted for. + # This assumes all forward duplicates have been found, which they will be + # be during an RMG run, but might not be if you artificially construct your own + # core edge reaction model return True, rxn0 # Now check seed mechanisms From 25d2a7bc2c7e6177d77e22fe60d0148f4f587159 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 20 Mar 2026 11:01:04 -0400 Subject: [PATCH 228/700] mark test reaction templates as fictitious --- test/rmgpy/rmg/modelTest.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/test/rmgpy/rmg/modelTest.py b/test/rmgpy/rmg/modelTest.py index 2ea843e5d73..3eaf1d1b53e 100644 --- a/test/rmgpy/rmg/modelTest.py +++ b/test/rmgpy/rmg/modelTest.py @@ -834,6 +834,11 @@ def test_check_for_existing_reaction_eliminates_same_reaction_from_reverse_multi (different templates, both marked duplicate=True). When the same reactions are subsequently generated in the reverse direction they must be recognised as already present and not added a second time. + + Note that the templates used here are marked as fictitious because the test database + is not necessarily large enough to distinguish these two cases. In any case, the + templates are not actually used for this test, but point to an example that can be + recreated with the full database. """ cerm = CoreEdgeReactionModel() @@ -853,14 +858,14 @@ def test_check_for_existing_reaction_eliminates_same_reaction_from_reverse_multi reactants=[spcA], products=[spcB], family="intra_H_migration", - template=["R4H_SSS_O(Cs)Cs", "O_rad_out", "Cs_H_out_2H"], + template=["fictitious", "R4H_SSS_O(Cs)Cs", "O_rad_out", "Cs_H_out_2H"], duplicate=True, ) reaction_in_model2 = TemplateReaction( reactants=[spcA], products=[spcB], family="intra_H_migration", - template=["R5H_SSSS_OCC_C", "O_rad_out", "Cs_H_out_2H"], + template=["fictitious", "R5H_SSSS_OCC_C", "O_rad_out", "Cs_H_out_2H"], duplicate=True, ) @@ -870,14 +875,14 @@ def test_check_for_existing_reaction_eliminates_same_reaction_from_reverse_multi reactants=[spcB], products=[spcA], family="intra_H_migration", - template=["R4H_SSS", "C_rad_out_2H", "O_H_out"], + template=["fictitious", "R4H_SSS", "C_rad_out_2H", "O_H_out"], duplicate=True, ) reaction_to_add2 = TemplateReaction( reactants=[spcB], products=[spcA], family="intra_H_migration", - template=["R5H_SSSS", "C_rad_out_2H", "O_H_out"], + template=["fictitious", "R5H_SSSS", "C_rad_out_2H", "O_H_out"], duplicate=True, ) From 0e4889230215e1ab50f7fbbe7753987500053a2c Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 26 Mar 2026 14:48:06 -0400 Subject: [PATCH 229/700] Use precise species name for image file There can be multiple species that end the same way, so using endswith is not guaranteed to get you the right images. This change makes sure the flux diagrams will map the correct species image onto the flux diagram. --- rmgpy/tools/fluxdiagram.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/tools/fluxdiagram.py b/rmgpy/tools/fluxdiagram.py index 81ecf44f89a..f1ef0a30d81 100644 --- a/rmgpy/tools/fluxdiagram.py +++ b/rmgpy/tools/fluxdiagram.py @@ -208,7 +208,7 @@ def generate_flux_diagram(reaction_model, times, concentrations, reaction_rates, continue for root, dirs, files in os.walk(species_directory): for f in files: - if f.endswith(species_index): + if f == species_index: image_path = os.path.join(root, f) break if os.path.exists(image_path): From 25c85aa7990967aea0ab485e5b72e7ac717bb3e5 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 27 Mar 2026 15:41:34 -0400 Subject: [PATCH 230/700] Reduce CI runtime Our CI takes a long time. This PR will reduce that by taking the following steps: - only test the "with RMS" version of RMG on MacOS platforms, assuming that it still works without it - only test the latest version of Python on MacOS platforms, assuming that older versions will also work - only run the unit tests on macos (no functional or database tests), since they cover most of the codebase anyway - keep ubuntu as is, just to cover our bases if any the above assumptions are wrong These changes are based on the observation that the ubuntu runners are more abundant and faster, so we can rely on them for the heavy lifting. Closes https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2906 --- .github/workflows/CI.yml | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 6d78f41acad..b08a738451e 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -68,6 +68,21 @@ jobs: python-version: ["3.9", "3.10", "3.11"] os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] + exclude: + # only check for optional RMS functionality on ubuntu, just to be safe (and only ubuntu since its the fastest and most abundant) + - os: macos-15-intel + include-rms: "" + - os: macos-latest + include-rms: "" + # only test macos with latest Python version + - os: macos-15-intel + python-version: "3.9" + - os: macos-latest + python-version: "3.9" + - os: macos-15-intel + python-version: "3.10" + - os: macos-latest + python-version: "3.10" runs-on: ${{ matrix.os }} name: Python ${{ matrix.python-version }} ${{ matrix.os }} Build and Test ${{ matrix.include-rms }} # skip scheduled runs from forks @@ -123,8 +138,14 @@ jobs: # non-regression testing - name: Run Unit, Functional, and Database Tests + if: matrix.os == 'ubuntu-latest' run: make test-all + # for the less capable non-linux runners, we only run units tests + - name: Run Unit Tests + if: matrix.os != 'ubuntu-latest' + run: make test-unittests + regression-test: runs-on: ubuntu-latest name: Regression Test From 63f5b06e6b2f8675c8702078753e0941cc361eaf Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Sat, 28 Mar 2026 16:55:15 -0400 Subject: [PATCH 231/700] run only a single build on each platform --- .github/workflows/conda_build.yml | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 4faaef8d22b..5d98ee7cb7d 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -18,6 +18,27 @@ jobs: os: [ubuntu-latest, macos-15-intel, macos-latest] numpy-version: ["1.26"] python-version: ["3.9", "3.10", "3.11"] + event_name: ["${{ contains(github.event_name, 'pull_request') }}"] + exclude: + # for PRs just run a single build per platform to save time and resources + - event_name: true + os: ubuntu-latest + python-version: "3.9" + - event_name: true + os: ubuntu-latest + python-version: "3.10" + - event_name: true + os: macos-15-intel + python-version: "3.9" + - event_name: true + os: macos-15-intel + python-version: "3.10" + - event_name: true + os: macos-latest + python-version: "3.9" + - event_name: true + os: macos-latest + python-version: "3.10" runs-on: ${{ matrix.os }} name: Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }} defaults: From 28549c9bf0e086c8faea5c1c9ad79eff5df71822 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 30 Mar 2026 10:48:08 -0400 Subject: [PATCH 232/700] clarify matrix name response to https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2907#discussion_r3006710591 --- .github/workflows/conda_build.yml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 5d98ee7cb7d..8df959e3822 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -18,25 +18,25 @@ jobs: os: [ubuntu-latest, macos-15-intel, macos-latest] numpy-version: ["1.26"] python-version: ["3.9", "3.10", "3.11"] - event_name: ["${{ contains(github.event_name, 'pull_request') }}"] + is_pr: ["${{ contains(github.event_name, 'pull_request') }}"] exclude: # for PRs just run a single build per platform to save time and resources - - event_name: true + - is_pr: true os: ubuntu-latest python-version: "3.9" - - event_name: true + - is_pr: true os: ubuntu-latest python-version: "3.10" - - event_name: true + - is_pr: true os: macos-15-intel python-version: "3.9" - - event_name: true + - is_pr: true os: macos-15-intel python-version: "3.10" - - event_name: true + - is_pr: true os: macos-latest python-version: "3.9" - - event_name: true + - is_pr: true os: macos-latest python-version: "3.10" runs-on: ${{ matrix.os }} From 421b778d95d9d147eab1bd364600061d646717b6 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 30 Mar 2026 10:49:55 -0400 Subject: [PATCH 233/700] clarify comment see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2907#discussion_r3006710599 --- .github/workflows/CI.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index b08a738451e..4f7786f1fe7 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -69,7 +69,8 @@ jobs: os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] exclude: - # only check for optional RMS functionality on ubuntu, just to be safe (and only ubuntu since its the fastest and most abundant) + # only check for "with RMS" functionality on ubuntu, just to be safe + # (and only ubuntu since its the fastest and most abundant) - os: macos-15-intel include-rms: "" - os: macos-latest From 7cd4d2e615a75fa1a243a9d3091b6c5f32d182e1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 31 Mar 2026 15:59:26 -0400 Subject: [PATCH 234/700] Documentation building CI upgrade to Python 3.11 --- .github/workflows/docs.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index f9cf674b0e9..cf46942b948 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -7,6 +7,7 @@ on: pull_request: schedule: # * is a special character in YAML so you have to quote this string + # weekly: runs at 8am UTC on Mondays - cron: "0 8 * * 1" jobs: @@ -26,13 +27,13 @@ jobs: with: fetch-depth: 0 - - name: Setup Miniforge Python 3.9 + - name: Setup Miniforge Python 3.11 uses: conda-incubator/setup-miniconda@v3 with: environment-file: environment.yml miniforge-variant: Miniforge3 miniforge-version: latest - python-version: "3.9" + python-version: "3.11" activate-environment: rmg_env auto-update-conda: true show-channel-urls: true From 014b08df967de2baa73ccb2fafa49d73088e60eb Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 31 Mar 2026 16:09:57 -0400 Subject: [PATCH 235/700] Clarify comment (and remove changelog) from CI workflow. --- .github/workflows/CI.yml | 19 ++----------------- 1 file changed, 2 insertions(+), 17 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 4f7786f1fe7..9b90d48d140 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -12,20 +12,6 @@ # them. These 'answers' are re-generated daily, or on any push to main, and retrieved whenever # a push is made to a non-main branch. The new proposed changes are referred to as "Dynamic". # -# -# Changelog: -# 2023-04 - Jackson Burns - Added this header, regression tests, cleanup of action in -# in general, and documentation throughout the file. -# 2023-05 - added Docker build steps -# 2023-05-12 - added changes to allow running on forks -# 2023-06-06 - added matrix build for libstdcxx-ng versions 12 and 13 on ubuntu. Only expect 12 to work. -# 2023-06-07 - updated regression testing. Now fails if significant changes are detected. -# 2023-06-15 - revert changes from 06-06, both now work -# 2023-06-27 - add option to run from RMG-database with GitHub resuable workflows -# 2023-07-17 - made it pass by default -# 2023-07-21 - upload the regression results summary as artifact (for use as a comment on PRs) -# 2023-07-31 - removed option to run from RMG-database with GitHub resuable workflows -# 2024-10-01 - deprecated Mambaforge with Miniforge3 for environment creation name: Continuous Integration @@ -69,13 +55,12 @@ jobs: os: [macos-15-intel, macos-latest, ubuntu-latest] include-rms: ["", "with RMS"] exclude: - # only check for "with RMS" functionality on ubuntu, just to be safe - # (and only ubuntu since its the fastest and most abundant) + # on macos, only check with RMS (assume it also works without RMS) - os: macos-15-intel include-rms: "" - os: macos-latest include-rms: "" - # only test macos with latest Python version + # on macos, only test with latest Python version - os: macos-15-intel python-version: "3.9" - os: macos-latest From a35dd78317f75380de286ff25217885a247155df Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Mon, 30 Mar 2026 16:34:44 -0700 Subject: [PATCH 236/700] add coordination number and lone-pair regularization dimension tracking --- rmgpy/molecule/group.pxd | 2 ++ rmgpy/molecule/group.py | 6 ++++++ 2 files changed, 8 insertions(+) diff --git a/rmgpy/molecule/group.pxd b/rmgpy/molecule/group.pxd index ada4072f781..281089f2920 100644 --- a/rmgpy/molecule/group.pxd +++ b/rmgpy/molecule/group.pxd @@ -53,6 +53,8 @@ cdef class GroupAtom(Vertex): cdef public list reg_dim_r cdef public list reg_dim_site cdef public list reg_dim_morphology + cdef public list reg_dim_ncoord + cdef public list reg_dim_p cpdef Vertex copy(self) diff --git a/rmgpy/molecule/group.py b/rmgpy/molecule/group.py index f0af3727b77..279fbc641ef 100644 --- a/rmgpy/molecule/group.py +++ b/rmgpy/molecule/group.py @@ -155,6 +155,8 @@ class GroupAtom(Vertex): `reg_dim_r` ``list`` List of inRing values that are free dimensions in tree optimization `reg_dim_site` ``list`` List of sites that are free dimensions in tree optimization `reg_dim_morphology` ``list`` List of morphologies that are free dimensions in tree optimization + `reg_dim_ncoord` ``list`` List of coordination numbers that are free dimensions in tree optimization + `reg_dim_p` ``list`` List of numbers of electron pairs that are free dimensions in tree optimization ==================== =================== ==================================== Each list represents a logical OR construct, i.e. an atom will match the @@ -184,6 +186,8 @@ def __init__(self, atomtype=None, radical_electrons=None, charge=None, label='', self.reg_dim_r = [[], []] self.reg_dim_site = [[], []] self.reg_dim_morphology = [[], []] + self.reg_dim_ncoord = [[],[]] + self.reg_dim_p = [[],[]] def __reduce__(self): """ @@ -1561,6 +1565,8 @@ def clear_reg_dims(self): atm.reg_dim_r = [[], []] atm.reg_dim_site = [[],[]] atm.reg_dim_morphology = [[],[]] + atm.reg_dim_ncoord = [[],[]] + atm.reg_dim_p = [[],[]] for bd in self.get_all_edges(): bd.reg_dim = [[], []] From a4e6826b0e431430cdfc9d6620d27befaaedf2a6 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 5 Apr 2026 20:03:19 -0400 Subject: [PATCH 237/700] export RMS_BRANCH so var exists inside Julia In some cases, the environment variable RMS_BRANCH does not get passed into Julia, and so the Pkg.Add line for RMS fails with a KeyError because it's looking for a variable that wasn't exported into the new environment. This exports the variable so when you start Julia you still have it. --- install_rms.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/install_rms.sh b/install_rms.sh index 70e10c6f886..4fea535ee33 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -21,7 +21,7 @@ RMS_INSTALLER=${RMS_INSTALLER:-standard} # RMS branch for standard or continuous installs. Set to "for_rmg" by default. -RMS_BRANCH=${RMS_BRANCH:-for_rmg} +export RMS_BRANCH=${RMS_BRANCH:-for_rmg} # Get local RMS path if in developer mode if [ "$RMS_INSTALLER" = "developer" ]; then From b385bd07ea9ebc5c4c9582a8779fd08c421cfaaf Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 09:00:24 -0400 Subject: [PATCH 238/700] Also export RMS_PATH for julia sake. The Julia script on line 162 uses it, so it should be in the environment inherited by Julia. --- install_rms.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/install_rms.sh b/install_rms.sh index 4fea535ee33..5fed91bddbe 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -37,6 +37,7 @@ if [ "$RMS_INSTALLER" = "developer" ]; then echo "Please set RMS_PATH to a valid ReactionMechanismSimulator.jl directory." return 1 fi + export RMS_PATH echo "Using local RMS path: $RMS_PATH" fi From 34e7e1c4ee21e9ce30573f2848e6b41229644957 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 7 Feb 2025 11:27:02 -0500 Subject: [PATCH 239/700] add check for iop(2/9=2000) in gaussian load geometry --- arkane/ess/gaussian.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/arkane/ess/gaussian.py b/arkane/ess/gaussian.py index 19d5ba94455..47c64818149 100644 --- a/arkane/ess/gaussian.py +++ b/arkane/ess/gaussian.py @@ -164,12 +164,18 @@ def load_geometry(self): Return the optimum geometry of the molecular configuration from the Gaussian log file. If multiple such geometries are identified, only the last is returned. + Also checks that the Cartesian coordinates are printed in the input orientation: + IOP(2/9=2000) must be specified for large cases (14+ atoms) """ number, coord, mass = [], [], [] + iop2_9_equals_2000 = False with open(self.path, 'r') as f: line = f.readline() while line != '': + if '2/9=2000' in line: + iop2_9_equals_2000 = True + # Automatically determine the number of atoms if 'Input orientation:' in line: number, coord = [], [] @@ -196,6 +202,11 @@ def load_geometry(self): '50 or more atoms, you will need to add the `iop(2/9=2000)` keyword to your ' 'input file so Gaussian will print the input orientation geometry.'.format(self.path)) + if len(number) > 13 and not iop2_9_equals_2000: + raise LogError(f'Gaussian output file {self.path} contains more than 13 atoms. ' + f'Please add the `iop(2/9=2000)` keyword to your input file ' + f'so Gaussian will print the geometry using the input orientation.') + return coord, number, mass def load_conformer(self, symmetry=None, spin_multiplicity=0, optical_isomers=None, label=''): From 618a80c5164a837034c04532ad358e3592d06464 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 13 Feb 2025 15:16:35 -0500 Subject: [PATCH 240/700] move iop 2/9=2000 check from geometry to force constant matrix section --- arkane/ess/gaussian.py | 26 ++++++++++++++------------ 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/arkane/ess/gaussian.py b/arkane/ess/gaussian.py index 47c64818149..3e52989e6e6 100644 --- a/arkane/ess/gaussian.py +++ b/arkane/ess/gaussian.py @@ -132,15 +132,23 @@ def load_force_constant_matrix(self): only the last is returned. The units of the returned force constants are J/m^2. If no force constant matrix can be found in the log file, ``None`` is returned. + Also checks that the force constant matrix was computed using the correct + (input orientation Cartesian) coordinates. + IOP(2/9=2000) must be specified for large cases (14+ atoms) """ force = None + iop2_9_equals_2000 = False + n_atoms = self.get_number_of_atoms() n_rows = n_atoms * 3 with open(self.path, 'r') as f: line = f.readline() while line != '': + if '2/9=2000' in line: + iop2_9_equals_2000 = True + # Read force constant matrix if 'Force constants in Cartesian coordinates:' in line: force = np.zeros((n_rows, n_rows), float) @@ -157,6 +165,11 @@ def load_force_constant_matrix(self): force *= 4.35974417e-18 / 5.291772108e-11 ** 2 line = f.readline() + if n_atoms > 13 and not iop2_9_equals_2000: + raise LogError(f'Gaussian output file {self.path} contains more than 13 atoms. ' + f'Please add the `iop(2/9=2000)` keyword to your input file ' + f'so Gaussian will compute force matrix using the input orientation Cartesians.') + return force def load_geometry(self): @@ -164,18 +177,12 @@ def load_geometry(self): Return the optimum geometry of the molecular configuration from the Gaussian log file. If multiple such geometries are identified, only the last is returned. - Also checks that the Cartesian coordinates are printed in the input orientation: - IOP(2/9=2000) must be specified for large cases (14+ atoms) """ number, coord, mass = [], [], [] - - iop2_9_equals_2000 = False + with open(self.path, 'r') as f: line = f.readline() while line != '': - if '2/9=2000' in line: - iop2_9_equals_2000 = True - # Automatically determine the number of atoms if 'Input orientation:' in line: number, coord = [], [] @@ -202,11 +209,6 @@ def load_geometry(self): '50 or more atoms, you will need to add the `iop(2/9=2000)` keyword to your ' 'input file so Gaussian will print the input orientation geometry.'.format(self.path)) - if len(number) > 13 and not iop2_9_equals_2000: - raise LogError(f'Gaussian output file {self.path} contains more than 13 atoms. ' - f'Please add the `iop(2/9=2000)` keyword to your input file ' - f'so Gaussian will print the geometry using the input orientation.') - return coord, number, mass def load_conformer(self, symmetry=None, spin_multiplicity=0, optical_isomers=None, label=''): From ad04e921bcd4c65b8f3994c6611706f0aa514a83 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 7 Apr 2026 12:31:49 -0400 Subject: [PATCH 241/700] Only require IOP(2/9=2000) for opt, not for freq This overlay keeps the Hessian in input orientation, but it's only required when you do an optimization. If it's just a frequency calculation, it is unnecessary. --- arkane/ess/gaussian.py | 27 ++++++++++++++++++++++++--- 1 file changed, 24 insertions(+), 3 deletions(-) diff --git a/arkane/ess/gaussian.py b/arkane/ess/gaussian.py index 3e52989e6e6..9de8a2eb76f 100644 --- a/arkane/ess/gaussian.py +++ b/arkane/ess/gaussian.py @@ -123,6 +123,24 @@ def get_number_of_atoms(self): return n_atoms + def load_route_section(self): + """ + Return the route section of the Gaussian log file as a string. The route + section is the line in the Gaussian input/output file that starts with "#" + If there are multiple lines that start with # it returns the first. + """ + route = '' + with open(self.path, 'r') as f: + line = f.readline() + while line != '': + line = line.strip() + if line.startswith('#'): + route = line + break + line = f.readline() + + return route + def load_force_constant_matrix(self): """ Return the force constant matrix from the Gaussian log file. The job @@ -134,11 +152,14 @@ def load_force_constant_matrix(self): ``None`` is returned. Also checks that the force constant matrix was computed using the correct (input orientation Cartesian) coordinates. - IOP(2/9=2000) must be specified for large cases (14+ atoms) + IOP(2/9=2000) must be specified for large cases (14+ atoms), but only + if an optimization was also performed. A frequency calculation by itself + will keep the input orientation. """ force = None iop2_9_equals_2000 = False + optimization_performed = 'opt' in self.load_route_section().lower() n_atoms = self.get_number_of_atoms() n_rows = n_atoms * 3 @@ -165,8 +186,8 @@ def load_force_constant_matrix(self): force *= 4.35974417e-18 / 5.291772108e-11 ** 2 line = f.readline() - if n_atoms > 13 and not iop2_9_equals_2000: - raise LogError(f'Gaussian output file {self.path} contains more than 13 atoms. ' + if optimization_performed and n_atoms > 13 and not iop2_9_equals_2000: + raise LogError(f'Gaussian optimization file {self.path} contains more than 13 atoms. ' f'Please add the `iop(2/9=2000)` keyword to your input file ' f'so Gaussian will compute force matrix using the input orientation Cartesians.') From fa9728d82382da0597152d85bde4ea28c8a0c3a0 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 24 Feb 2024 06:07:48 +0200 Subject: [PATCH 242/700] Removed maximumIsotopicAtoms from the documentation and examples This feature was never merged into main and causes RMG to crush if specified Also removed here from the rmg2to3 script --- documentation/source/users/rmg/input.rst | 1 - documentation/source/users/rmg/modules/isotopes.rst | 4 ---- examples/rmg/MR_test/input.py | 2 -- examples/rmg/commented/input.py | 2 -- scripts/rmg2to3.py | 1 - 5 files changed, 10 deletions(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 1780cca69e2..4fea763a8fc 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -1054,7 +1054,6 @@ all of RMG's reaction families. :: maximumRadicalElectrons=2, maximumSingletCarbenes=1, maximumCarbeneRadicals=0, - maximumIsotopicAtoms=2, allowSingletO2 = False, speciesCuttingThreshold=20, ) diff --git a/documentation/source/users/rmg/modules/isotopes.rst b/documentation/source/users/rmg/modules/isotopes.rst index fda03e0fc9f..e567a1fc6d4 100644 --- a/documentation/source/users/rmg/modules/isotopes.rst +++ b/documentation/source/users/rmg/modules/isotopes.rst @@ -49,10 +49,6 @@ not match the same depository reactions, leading to inconsistent kinetics. If degeneracy errors arise when generating reactions from scratch, try using this option to see if it reduces errors in degeneracy. -The arguement ``--maximumIsotopicAtoms [integer]`` limits the number of enriched -atoms in any isotopologue in the model. This is beneficial for decreasing model -size, runtime of model creation and runtime necessary for analysis. - Adding kinetic isotope effects which are described in this paper can be obtained through the argument ``--kineticIsotopeEffect simple``. Currently this is the only supported method, though this can be extended to other effects. diff --git a/examples/rmg/MR_test/input.py b/examples/rmg/MR_test/input.py index 6cbb04a2eb3..956c7258379 100644 --- a/examples/rmg/MR_test/input.py +++ b/examples/rmg/MR_test/input.py @@ -305,7 +305,5 @@ #If this is false or missing, RMG will throw an error if the more less-stable form of O2 is entered #which doesn't react in the RMG system. normally input O2 as triplet with SMILES [O][O] #allowSingletO2=False, - # maximum allowed number of non-normal isotope atoms: - #maximumIsotopicAtoms=2, ) diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 8926ee67b1c..2c74b3700be 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -292,8 +292,6 @@ # If this is false or missing, RMG will throw an error if the more less-stable form of O2 is entered # which doesn't react in the RMG system. normally input O2 as triplet with SMILES [O][O] # allowSingletO2=False, - # maximum allowed number of non-normal isotope atoms: - # maximumIsotopicAtoms=2, ) # optional block allows thermo to be estimated through quantum calculations diff --git a/scripts/rmg2to3.py b/scripts/rmg2to3.py index a2e9a3db005..211dbfdfac7 100644 --- a/scripts/rmg2to3.py +++ b/scripts/rmg2to3.py @@ -1796,7 +1796,6 @@ # rmgpy.tools.isotopes 'useOriginalReactions': 'use_original_reactions', 'kineticIsotopeEffect': 'kinetic_isotope_effect', - 'maximumIsotopicAtoms': 'maximum_isotopic_atoms', # rmgpy.tools.loader 'generateImages': 'generate_images', 'useJava': 'use_java', From a22972f11b79814a6631a38a328ff39a29f5322e Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Wed, 7 Feb 2024 11:28:15 +0200 Subject: [PATCH 243/700] Added the maximumFusedRingSystemSize constraint to the docs --- documentation/source/users/rmg/input.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 4fea763a8fc..3ab4c844cfc 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -1054,6 +1054,7 @@ all of RMG's reaction families. :: maximumRadicalElectrons=2, maximumSingletCarbenes=1, maximumCarbeneRadicals=0, + maximumFusedRingSystemSize=3, allowSingletO2 = False, speciesCuttingThreshold=20, ) @@ -1063,6 +1064,10 @@ from either the input file, seed mechanisms, or reaction libraries to bypass the Note that this should be done with caution, since the constraints will still apply to subsequent products that form. +``maximumFusedRingSystemSize`` is the maximum number of SSSR rings allowed within any single +fused ring system in the species (i.e., it counts rings in both fused systems, which share edges, +and spirocyclic systems, which share a single atom). + By default, the ``allowSingletO2`` flag is set to ``False``. See :ref:`representing_oxygen` for more information. Note that ``speciesCuttingThreshold`` is set by default to 20 heavy atoms. This means that if a species containing From 75bc82aef854ed30f9f57dc90eb56688fd4222c8 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Wed, 7 Feb 2024 13:17:25 +0200 Subject: [PATCH 244/700] Added get_ring_count_in_largest_fused_ring_system() to Molecule --- rmgpy/molecule/molecule.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 5c55dc6a275..a5d54a11d34 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -3126,6 +3126,36 @@ def get_desorbed_molecules(self): return desorbed_molecules + def get_ring_count_in_largest_fused_ring_system(self) -> int: + """ + Get the number of rings in the largest fused ring system in the molecule. + Returns 0 if the molecule has no fused rings (only monocycles or no rings). + """ + cython.declare(polycycles=list, sssr=list, sssr_sets=list, ring_counts=list) + cython.declare(polycycle=list, ring=list) + + polycycles = self.get_polycycles() + if not polycycles: + return 0 + + sssr = self.get_smallest_set_of_smallest_rings() + if not sssr: + return 0 + + sssr_sets = [set(r) for r in sssr] + + ring_counts = list() + for polycycle in polycycles: + poly_set = set(polycycle) + ring_count = 0 + for ring_set in sssr_sets: + if ring_set.issubset(poly_set): + ring_count += 1 + ring_counts.append(ring_count) + + return max(ring_counts) if ring_counts else 0 + + # this variable is used to name atom IDs so that there are as few conflicts by # using the entire space of integer objects atom_id_counter = -2 ** 15 From f02c2017935e109dc4ff1ee3be0bdaa4751b2651 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 2 Mar 2024 19:47:15 +0200 Subject: [PATCH 245/700] Tests: Molecule.get_ring_count_in_largest_fused_ring_system() --- test/rmgpy/molecule/moleculeTest.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 7127c209a5a..43c4b4e33a3 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3293,3 +3293,14 @@ def test_get_largest_ring(self): assert len(mol.get_largest_ring(mol.atoms[20])) == 0 # bridgehead - should choose the larger of the two rings assert len(mol.get_largest_ring(mol.atoms[25])) == 8 + + def test_get_ring_count_in_largest_fused_ring_system(self): + """Test that we can count the rings in the largest fused ring system.""" + mol = Molecule(smiles="CCCC") + assert mol.get_ring_count_in_largest_fused_ring_system() == 0 + mol = Molecule(smiles="c1ccccc1") + assert mol.get_ring_count_in_largest_fused_ring_system() == 0 + mol = Molecule(smiles="c12ccccc1cccc2") + assert mol.get_ring_count_in_largest_fused_ring_system() == 2 + mol = Molecule(smiles="C[C]1C2C(=O)C3CC4C(=O)C=C2CC143") + assert mol.get_ring_count_in_largest_fused_ring_system() == 4 From 054c3294d7bf101d54c0f22fd5e8055b3189d3d0 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Wed, 7 Feb 2024 12:56:47 +0200 Subject: [PATCH 246/700] Minor: Style modification in constraints.py --- rmgpy/constraints.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index e88af0e3c02..6e264e58a67 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -31,6 +31,7 @@ from rmgpy.species import Species + def pass_cutting_threshold(species): """ Pass in either a `Species` or `Molecule` object and checks whether it passes @@ -58,6 +59,7 @@ def pass_cutting_threshold(species): return False + def fails_species_constraints(species): """ Pass in either a `Species` or `Molecule` object and checks whether it passes From 36fbd9bcdb5efaf665ebba0e97a25b0589ab4d2c Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Wed, 7 Feb 2024 12:57:15 +0200 Subject: [PATCH 247/700] Added the maximumFusedRingSystemSize species constraint --- rmgpy/constraints.py | 6 ++++++ rmgpy/rmg/input.py | 1 + 2 files changed, 7 insertions(+) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index 6e264e58a67..f46f457c59e 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -143,4 +143,10 @@ def fails_species_constraints(species): if struct.get_singlet_carbene_count() > 0 and struct.get_radical_count() > max_carbene_radicals: return f"Exceeded maximumCarbeneRadicals: {struct.get_radical_count()} > {max_carbene_radicals}" + max_fused_ring_system_size = species_constraints.get('maximumFusedRingSystemSize', -1) + if max_fused_ring_system_size != -1 and struct.is_cyclic(): + if struct.get_ring_count_in_largest_fused_ring_system() > max_fused_ring_system_size: + return (f"Exceeded maximumFusedRingSystemSize: {struct.get_ring_count_in_largest_fused_ring_system()} > " + f"{max_fused_ring_system_size}") + return False diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index de2ddf0c331..04f72c0fa79 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1420,6 +1420,7 @@ def generated_species_constraints(**kwargs): 'maximumRadicalElectrons', 'maximumSingletCarbenes', 'maximumCarbeneRadicals', + 'maximumFusedRingSystemSize', 'allowSingletO2', 'speciesCuttingThreshold', ] From 69f021cf9467180f4dce96fd1d73b5284a3a1ab9 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Sun, 10 Mar 2024 16:49:42 -0400 Subject: [PATCH 248/700] Add thermodynamic coverage dependent models in surface reactor --- rmgpy/solver/surface.pyx | 80 +++++++++++++++++++++++++++++++++++++++- 1 file changed, 79 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 105a1d68f7a..3c20de6ab93 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -84,6 +84,7 @@ cdef class SurfaceReactor(ReactionSystem): sensitivity_threshold=1e-3, sens_conditions=None, coverage_dependence=False, + thermo_coverage_dependence=False, ): ReactionSystem.__init__(self, termination, @@ -103,12 +104,14 @@ cdef class SurfaceReactor(ReactionSystem): self.surface_volume_ratio = Quantity(surface_volume_ratio) self.surface_site_density = Quantity(surface_site_density) self.coverage_dependence = coverage_dependence + self.thermo_coverage_dependence = thermo_coverage_dependence self.V = 0 # will be set from ideal gas law in initialize_model self.constant_volume = True self.sens_conditions = sens_conditions self.n_sims = n_sims self.coverage_dependencies = {} + self.thermo_coverage_dependencies = {} def convert_initial_keys_to_species_objects(self, species_dict): """ @@ -195,6 +198,31 @@ cdef class SurfaceReactor(ReactionSystem): means that Species with index 2 in the current simulation is used in Reaction 3 with parameters a=0.1, m=-1, E=12 kJ/mol """ + for sp, sp_index in self.species_index.items(): + if sp.contains_surface_site(): + if self.thermo_coverage_dependence and sp.thermo.thermo_coverage_dependence: + # think about the data structure of thermo coverage dependence + # should not be a list, a dictionary would be better + for spec, parameters in sp.thermo.coverage_dependence.items(): + species_index = self.species_index[spec] + try: + list_of_thermo_coverage_deps = self.thermo_coverage_dependencies[species_index] + except KeyError: # doesn't exist yet + list_of_thermo_coverage_deps = [] + self.thermo_coverage_dependencies[sp_index] = list_of_thermo_coverage_deps + # need to specify the entropy and enthalpy models + # linear, piecewise linear, polynomial, interpolative models + list_of_thermo_coverage_deps.append((sp_index, parameters)) + + """ + self.thermo_coverage_dependencies[2] = [(3, {"model":"linear","enthalpy-coefficients":[], "entropy-coefficients":[]}),] + self.thermo_coverage_dependencies[2] = [(3, {"model":"polynomial","enthalpy-coefficients":[], "entropy-coefficients":[]}),] + self.thermo_coverage_dependencies[2] = [(3, {"model":"piecewise-linear","enthalpy-coefficients":{"enthalpy_high":, "enthalpy_low":, "enthalpy_change":}, + "entropy-coefficients":{"entropy_high":, "entropy_low":, "entropy_change"}, "Cp":{"heat-capacity-a":, "heat-capacity-b":}}),] + self.thermo_coverage_dependencies[2] = {(3, {"model":"interpolative","enthalpy-coefficients":{"enthalpy-coverages":, "enthalpies":}, "entropy-coefficients":{"entropy-coverages":, "entropies":}}),} + means that Species with index 2 in the current simulation is used in + Species 3 with parameters for linear, polynomial, piecewise-linear, and interpolative models + """ self.species_on_surface = species_on_surface self.reactions_on_surface = reactions_on_surface @@ -422,7 +450,57 @@ cdef class SurfaceReactor(ReactionSystem): C[j] = N[j] / V #: surface species are in mol/m2, gas phase are in mol/m3 core_species_concentrations[j] = C[j] - + + # Thermodynamic coverage dependence + free_energy_coverage_corrections = np.zeros(len(self.sp_index), float) # length of core + edge species + if self.thermo_coverage_dependence: + """ + self.thermo_coverage_dependencies[2] = [(3, {"model":"linear","enthalpy-coefficients":[], "entropy-coefficients":[]}),] + self.thermo_coverage_dependencies[2] = [(3, {"model":"polynomial","enthalpy-coefficients":[], "entropy-coefficients":[]}),] + self.thermo_coverage_dependencies[2] = [(3, {"model":"piecewise-linear","enthalpy-coefficients":{"enthalpy_high":, "enthalpy_low":, "enthalpy_change":}, + "entropy-coefficients":{"entropy_high":, "entropy_low":, "entropy_change"}, "Cp":{"heat-capacity-a":, "heat-capacity-b":}}),] + self.thermo_coverage_dependencies[2] = {(3, {"model":"interpolative","enthalpy-coefficients":{"enthalpy-coverages":, "enthalpies":}, "entropy-coefficients":{"entropy-coverages":, "entropies":}}),} + means that Species with index 2 in the current simulation is used in + Species 3 with parameters for linear, polynomial, piecewise-linear, and interpolative models + """ + for i, list_of_thermo_coverage_deps in self.thermo_coverage_dependencies.items(): + surface_site_fraction = N[i] / total_sites + if surface_site_fraction < 1e-15: + continue + for j, parameters in list_of_thermo_coverage_deps: + # Species i, Species j + # need to specify the entropy and enthalpy models + # linear, piecewise linear, polynomial, interpolative models + if parameters['model'] == "linear": + pass + elif parameters['model'] == "polynomial": + enthalpy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['enthalpy-coefficients'].insert(0,0)) # insert 0 for the constant term + entropy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['entropy-coefficients'].insert(0,0)) + free_energy_coverage_corrections[j] += enthalpy_cov_correction - self.T.value_si * entropy_cov_correction + elif parameters['model'] == "piecewise-linear": + pass + elif parameters['model'] == "interpolative": + pass + corrected_K_eq = copy.deepcopy(self.K_eq) + # correct the K_eq + for j in range(ir.shape[0]): + if ir[j, 0] >= num_core_species or ir[j, 1] >= num_core_species or ir[j, 2] >= num_core_species: + pass + elif ir[j, 1] == -1: # only one reactant + corrected_K_eq[j] *= np.exp(free_energy_coverage_corrections[ir[j, 0]] / (constants.R * self.T.value_si)) + elif ir[j, 2] == -1: # only two reactants + corrected_K_eq[j] *= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]]) / (constants.R * self.T.value_si)) + else: # three reactants!! (really?) + corrected_K_eq[j] *= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]] + free_energy_coverage_corrections[ir[j, 2]]) / (constants.R * self.T.value_si)) + if ip[j, 0] >= num_core_species or ip[j, 1] >= num_core_species or ip[j, 2] >= num_core_species: + pass + elif ip[j, 1] == -1: # only one reactant + corrected_K_eq[j] /= np.exp(free_energy_coverage_corrections[ir[j, 0]] / (constants.R * self.T.value_si)) + elif ip[j, 2] == -1: # only two reactants + corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]]) / (constants.R * self.T.value_si)) + else: # three reactants!! (really?) + corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]] + free_energy_coverage_corrections[ir[j, 2]]) / (constants.R * self.T.value_si)) + kr = kf / corrected_K_eq # Coverage dependence coverage_corrections = np.ones_like(kf, float) if self.coverage_dependence: From 1ad7c77ff7602f18385fa37f248cbecb0d536703 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 11 Mar 2024 13:26:58 -0400 Subject: [PATCH 249/700] add thermo coverage dependence instance while reading the file --- rmgpy/rmg/input.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 04f72c0fa79..f4780e28433 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -120,7 +120,8 @@ def database( def catalyst_properties(bindingEnergies=None, surfaceSiteDensity=None, metal=None, - coverageDependence=False): + coverageDependence=False, + thermoCoverageDependence=False,): """ Specify the properties of the catalyst. Binding energies of C,H,O,N atoms, and the surface site density. @@ -167,6 +168,7 @@ def catalyst_properties(bindingEnergies=None, else: logging.info("Coverage dependence is turned OFF") rmg.coverage_dependence = coverageDependence + rmg.thermo_coverage_dependence = thermoCoverageDependence def convert_binding_energies(binding_energies): """ @@ -1088,7 +1090,8 @@ def surface_reactor(temperature, sensitive_species=sensitive_species, sensitivity_threshold=sensitivityThreshold, sens_conditions=sens_conditions, - coverage_dependence=rmg.coverage_dependence) + coverage_dependence=rmg.coverage_dependence, + thermo_coverage_dependence=rmg.thermo_coverage_dependence) rmg.reaction_systems.append(system) system.log_initial_conditions(number=len(rmg.reaction_systems)) From 416082c1759d13aa3623eea4f42080cf3a4b9579 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 11 Mar 2024 13:27:21 -0400 Subject: [PATCH 250/700] add import copy package --- rmgpy/solver/surface.pyx | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 3c20de6ab93..eb9f2b09960 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -43,6 +43,7 @@ cimport rmgpy.constants as constants from rmgpy.quantity import Quantity from rmgpy.quantity cimport ScalarQuantity from rmgpy.solver.base cimport ReactionSystem +import copy cdef class SurfaceReactor(ReactionSystem): """ From 09456561a52a321c8f396527a0995c01bd37c6e2 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 11 Mar 2024 15:30:01 -0400 Subject: [PATCH 251/700] add the instances for thermo coverage dependence --- rmgpy/solver/surface.pyx | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index eb9f2b09960..54151c49938 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -70,6 +70,9 @@ cdef class SurfaceReactor(ReactionSystem): cdef public bint coverage_dependence cdef public dict coverage_dependencies + cdef public bint thermo_coverage_dependence + cdef public dict thermo_coverage_dependencies + def __init__(self, @@ -453,7 +456,7 @@ cdef class SurfaceReactor(ReactionSystem): core_species_concentrations[j] = C[j] # Thermodynamic coverage dependence - free_energy_coverage_corrections = np.zeros(len(self.sp_index), float) # length of core + edge species + free_energy_coverage_corrections = np.zeros(len(self.species_index), float) # length of core + edge species if self.thermo_coverage_dependence: """ self.thermo_coverage_dependencies[2] = [(3, {"model":"linear","enthalpy-coefficients":[], "entropy-coefficients":[]}),] From a42f58fe9114502c9b5a9e26bc539d26cedb0bb8 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 11 Mar 2024 20:43:28 -0400 Subject: [PATCH 252/700] add polynomial thermodynamic coverage model to Wilhoit, NASA, and thermodata --- rmgpy/thermo/nasa.pyx | 42 ++++++++++++++++++++--------- rmgpy/thermo/thermodata.pyx | 52 +++++++++++++++++++++++------------ rmgpy/thermo/wilhoit.pyx | 54 +++++++++++++++++++++++++------------ 3 files changed, 102 insertions(+), 46 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index e484f3036f3..832183ac757 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -43,19 +43,20 @@ cdef class NASAPolynomial(HeatCapacityModel): seven-coefficient and nine-coefficient variations are supported. The attributes are: - =============== ============================================================ - Attribute Description - =============== ============================================================ - `coeffs` The seven or nine NASA polynomial coefficients - `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined - `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined - `E0` The energy at zero Kelvin (including zero point energy) - `comment` Information about the model (e.g. its source) - =============== ============================================================ + =========================== ============================================================ + Attribute Description + =========================== ============================================================ + `coeffs` The seven or nine NASA polynomial coefficients + `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined + `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined + `E0` The energy at zero Kelvin (including zero point energy) + `thermo_coverage_dependence` The coverage dependence of the thermo + `comment` Information about the model (e.g. its source) + =========================== ============================================================ """ - def __init__(self, coeffs=None, Tmin=None, Tmax=None, E0=None, label='', comment=''): + def __init__(self, coeffs=None, Tmin=None, Tmax=None, E0=None, label='', thermo_coverage_dependence=None, comment=''): HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, label=label, comment=comment) self.coeffs = coeffs @@ -73,6 +74,7 @@ cdef class NASAPolynomial(HeatCapacityModel): if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax) if self.E0 is not None: string += ', E0={0!r}'.format(self.E0) if self.label != '': string += ', label="""{0}"""'.format(self.label) + if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence) if self.comment != '': string += ', comment="""{0}"""'.format(self.comment) string += ')' return string @@ -81,7 +83,7 @@ cdef class NASAPolynomial(HeatCapacityModel): """ A helper function used when pickling an object. """ - return (NASAPolynomial, ([self.cm2, self.cm1, self.c0, self.c1, self.c2, self.c3, self.c4, self.c5, self.c6], self.Tmin, self.Tmax, self.E0, self.label, self.comment)) + return (NASAPolynomial, ([self.cm2, self.cm1, self.c0, self.c1, self.c2, self.c3, self.c4, self.c5, self.c6], self.Tmin, self.Tmax, self.E0, self.label, self.thermo_coverage_dependence, self.comment)) cpdef dict as_dict(self): output_dictionary = super(NASAPolynomial, self).as_dict() @@ -108,6 +110,21 @@ cdef class NASAPolynomial(HeatCapacityModel): else: raise ValueError('Invalid number of NASA polynomial coefficients; expected 7 or 9, got {0:d}.'.format(len(value))) + property thermo_coverage_dependence: + """The coverage dependence of the thermo""" + def __get__(self): + return self._thermo_coverage_dependence + def __set__(self, value): + self._thermo_coverage_dependence = {} + if value: + for species, parameters in value.items(): + # just the polynomial model for now + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + } + self._coverage_dependence[species] = processed_parameters + cpdef double get_heat_capacity(self, double T) except -1000000000: """ Return the constant-pressure heat capacity in J/mol*K at the specified @@ -347,6 +364,7 @@ cdef class NASA(HeatCapacityModel): Cp0 = self.Cp0, CpInf = self.CpInf, E0 = self.E0, + thermo_coverage_dependence = self.thermo_coverage_dependence, comment = self.comment ) @@ -379,7 +397,7 @@ cdef class NASA(HeatCapacityModel): H298 = self.get_enthalpy(298) S298 = self.get_entropy(298) - return Wilhoit(label=self.label,comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298) + return Wilhoit(label=self.label, thermo_coverage_dependence=self.thermo_coverage_dependence, comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298) cpdef NASA change_base_enthalpy(self, double deltaH): """ diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 5248e79a563..99c72377897 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -43,27 +43,29 @@ cdef class ThermoData(HeatCapacityModel): A heat capacity model based on a set of discrete heat capacity data points. The attributes are: - =============== ============================================================ - Attribute Description - =============== ============================================================ - `Tdata` An array of temperatures at which the heat capacity is known - `Cpdata` An array of heat capacities at the given temperatures - `H298` The standard enthalpy of formation at 298 K - `S298` The standard entropy at 298 K - `Tmin` The minimum temperature at which the model is valid, or zero if unknown or undefined - `Tmax` The maximum temperature at which the model is valid, or zero if unknown or undefined - `E0` The energy at zero Kelvin (including zero point energy) - `comment` Information about the model (e.g. its source) - =============== ============================================================ + =========================== ============================================================ + Attribute Description + =========================== ============================================================ + `Tdata` An array of temperatures at which the heat capacity is known + `Cpdata` An array of heat capacities at the given temperatures + `H298` The standard enthalpy of formation at 298 K + `S298` The standard entropy at 298 K + `Tmin` The minimum temperature at which the model is valid, or zero if unknown or undefined + `Tmax` The maximum temperature at which the model is valid, or zero if unknown or undefined + `E0` The energy at zero Kelvin (including zero point energy) + `thermo_coverage_dependence` The coverage dependence of the thermo + `comment` Information about the model (e.g. its source) + =========================== ============================================================ """ - def __init__(self, Tdata=None, Cpdata=None, H298=None, S298=None, Cp0=None, CpInf=None, Tmin=None, Tmax=None, E0=None, label = '',comment=''): + def __init__(self, Tdata=None, Cpdata=None, H298=None, S298=None, Cp0=None, CpInf=None, Tmin=None, Tmax=None, E0=None, label = '', thermo_coverage_dependence=None, comment=''): HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment) self.H298 = H298 self.S298 = S298 self.Tdata = Tdata self.Cpdata = Cpdata + self.thermo_coverage_dependence = thermo_coverage_dependence def __repr__(self): """ @@ -77,6 +79,7 @@ cdef class ThermoData(HeatCapacityModel): if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax) if self.E0 is not None: string += ', E0={0!r}'.format(self.E0) if self.label != '': string +=', label="""{0}"""'.format(self.label) + if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence) if self.comment != '': string += ', comment="""{0}"""'.format(self.comment) string += ')' return string @@ -85,7 +88,7 @@ cdef class ThermoData(HeatCapacityModel): """ A helper function used when pickling a ThermoData object. """ - return (ThermoData, (self.Tdata, self.Cpdata, self.H298, self.S298, self.Cp0, self.CpInf, self.Tmin, self.Tmax, self.E0, self.label, self.comment)) + return (ThermoData, (self.Tdata, self.Cpdata, self.H298, self.S298, self.Cp0, self.CpInf, self.Tmin, self.Tmax, self.E0, self.label, self.thermo_coverage_dependence, self.comment)) property Tdata: """An array of temperatures at which the heat capacity is known.""" @@ -114,6 +117,21 @@ cdef class ThermoData(HeatCapacityModel): return self._S298 def __set__(self, value): self._S298 = quantity.Entropy(value) + + property thermo_coverage_dependence: + """The coverage dependence of the thermo""" + def __get__(self): + return self._thermo_coverage_dependence + def __set__(self, value): + self._thermo_coverage_dependence = {} + if value: + for species, parameters in value.items(): + # just the polynomial model for now + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + } + self._coverage_dependence[species] = processed_parameters @cython.boundscheck(False) @cython.wraparound(False) @@ -361,12 +379,12 @@ cdef class ThermoData(HeatCapacityModel): S298 = self.get_entropy(298) Cp0 = self._Cp0.value_si CpInf = self._CpInf.value_si - + thermo_cov_dep = self.thermo_coverage_dependence if B: - return Wilhoit(label=self.label,comment=self.comment).fit_to_data_for_constant_b(Tdata, Cpdata, Cp0, CpInf, H298, S298, B=B) + return Wilhoit(label=self.label, thermo_coverage_dependence=thermo_cov_dep, comment=self.comment).fit_to_data_for_constant_b(Tdata, Cpdata, Cp0, CpInf, H298, S298, B=B) else: - return Wilhoit(label=self.label,comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298) + return Wilhoit(label=self.label, thermo_coverage_dependence=thermo_cov_dep, comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298) cpdef NASA to_nasa(self, double Tmin, double Tmax, double Tint, bint fixedTint=False, bint weighting=True, int continuity=3): """ diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 20a1061b18e..2dc974b016d 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -45,24 +45,25 @@ cdef class Wilhoit(HeatCapacityModel): """ A heat capacity model based on the Wilhoit equation. The attributes are: - =============== ============================================================ - Attribute Description - =============== ============================================================ - `a0` The zeroth-order Wilhoit polynomial coefficient - `a1` The first-order Wilhoit polynomial coefficient - `a2` The second-order Wilhoit polynomial coefficient - `a3` The third-order Wilhoit polynomial coefficient - `H0` The integration constant for enthalpy (not H at T=0) - `S0` The integration constant for entropy (not S at T=0) - `E0` The energy at zero Kelvin (including zero point energy) - `B` The Wilhoit scaled temperature coefficient in K - `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined - `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined - `comment` Information about the model (e.g. its source) - =============== ============================================================ + ============================= ========================================================================================= + Attribute Description + ============================= ========================================================================================= + `a0` The zeroth-order Wilhoit polynomial coefficient + `a1` The first-order Wilhoit polynomial coefficient + `a2` The second-order Wilhoit polynomial coefficient + `a3` The third-order Wilhoit polynomial coefficient + `H0` The integration constant for enthalpy (not H at T=0) + `S0` The integration constant for entropy (not S at T=0) + `E0` The energy at zero Kelvin (including zero point energy) + `B` The Wilhoit scaled temperature coefficient in K + `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined + `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined + `thermo_covreage_dependence` The coverage dependence of the thermo + `comment` Information about the model (e.g. its source) + ============================= ========================================================================================= """ - def __init__(self, Cp0=None, CpInf=None, a0=0.0, a1=0.0, a2=0.0, a3=0.0, H0=None, S0=None, B=None, Tmin=None, Tmax=None, label='', comment=''): + def __init__(self, Cp0=None, CpInf=None, a0=0.0, a1=0.0, a2=0.0, a3=0.0, H0=None, S0=None, B=None, Tmin=None, Tmax=None, label='', thermo_coverage_dependence=None, comment=''): HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment) self.B = B self.a0 = a0 @@ -71,6 +72,7 @@ cdef class Wilhoit(HeatCapacityModel): self.a3 = a3 self.H0 = H0 self.S0 = S0 + self.thermo_coverage_dependence = thermo_coverage_dependence def __repr__(self): """ @@ -82,6 +84,7 @@ cdef class Wilhoit(HeatCapacityModel): if self.Tmin is not None: string += ', Tmin={0!r}'.format(self.Tmin) if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax) if self.label != '': string += ', label="""{0}"""'.format(self.label) + if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence) if self.comment != '': string += ', comment="""{0}"""'.format(self.comment) string += ')' return string @@ -90,7 +93,7 @@ cdef class Wilhoit(HeatCapacityModel): """ A helper function used when pickling a Wilhoit object. """ - return (Wilhoit, (self.Cp0, self.CpInf, self.a0, self.a1, self.a2, self.a3, self.H0, self.S0, self.B, self.Tmin, self.Tmax, self.label, self.comment)) + return (Wilhoit, (self.Cp0, self.CpInf, self.a0, self.a1, self.a2, self.a3, self.H0, self.S0, self.B, self.Tmin, self.Tmax, self.label, self.thermo_coverage_dependence, self.comment)) cpdef dict as_dict(self): """ @@ -136,6 +139,21 @@ cdef class Wilhoit(HeatCapacityModel): return self._S0 def __set__(self, value): self._S0 = quantity.Entropy(value) + + property thermo_coverage_dependence: + """The coverage dependence of the thermo""" + def __get__(self): + return self._thermo_coverage_dependence + def __set__(self, value): + self._thermo_coverage_dependence = {} + if value: + for species, parameters in value.items(): + # just the polynomial model for now + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + } + self._coverage_dependence[species] = processed_parameters cpdef double get_heat_capacity(self, double T) except -1000000000: """ @@ -478,6 +496,7 @@ cdef class Wilhoit(HeatCapacityModel): Cp0 = self.Cp0, CpInf = self.CpInf, E0 = self.E0, + thermo_coverage_dependence = self.thermo_coverage_dependence, comment = self.comment ) @@ -582,6 +601,7 @@ cdef class Wilhoit(HeatCapacityModel): Cp0 = self.Cp0, CpInf = self.CpInf, label = self.label, + thermo_coverage_dependence = self.thermo_coverage_dependence, comment = self.comment, ) From 6d4ab278989c020e249fdc9ed40bd52c6f3c1630 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Tue, 12 Mar 2024 14:47:25 -0400 Subject: [PATCH 253/700] declare _thermo_coverage_dependence in the pxd files --- rmgpy/thermo/nasa.pxd | 1 + rmgpy/thermo/thermodata.pxd | 1 + rmgpy/thermo/wilhoit.pxd | 1 + 3 files changed, 3 insertions(+) diff --git a/rmgpy/thermo/nasa.pxd b/rmgpy/thermo/nasa.pxd index b462301f72a..fb221419dae 100644 --- a/rmgpy/thermo/nasa.pxd +++ b/rmgpy/thermo/nasa.pxd @@ -34,6 +34,7 @@ from rmgpy.thermo.wilhoit cimport Wilhoit cdef class NASAPolynomial(HeatCapacityModel): cdef public double cm2, cm1, c0, c1, c2, c3, c4, c5, c6 + cdef public dict _thermo_coverage_dependence cpdef dict as_dict(self) diff --git a/rmgpy/thermo/thermodata.pxd b/rmgpy/thermo/thermodata.pxd index d9052db0b4e..0a1d08b12ff 100644 --- a/rmgpy/thermo/thermodata.pxd +++ b/rmgpy/thermo/thermodata.pxd @@ -38,6 +38,7 @@ cdef class ThermoData(HeatCapacityModel): cdef public ScalarQuantity _H298, _S298 cdef public ArrayQuantity _Tdata, _Cpdata + cdef public dict _thermo_coverage_dependence cpdef double get_heat_capacity(self, double T) except -1000000000 diff --git a/rmgpy/thermo/wilhoit.pxd b/rmgpy/thermo/wilhoit.pxd index 576c8a2e671..e2cd2419e42 100644 --- a/rmgpy/thermo/wilhoit.pxd +++ b/rmgpy/thermo/wilhoit.pxd @@ -38,6 +38,7 @@ cdef class Wilhoit(HeatCapacityModel): cdef public ScalarQuantity _B, _H0, _S0 cdef public double a0, a1, a2, a3 + cdef public dict _thermo_coverage_dependence cpdef dict as_dict(self) From f23a8d600fe6e5ea58f9eb4d8bece73d5d13701b Mon Sep 17 00:00:00 2001 From: 12Chao Date: Tue, 12 Mar 2024 14:48:37 -0400 Subject: [PATCH 254/700] fix the typos, and add the missing import command line --- rmgpy/thermo/nasa.pyx | 3 ++- rmgpy/thermo/thermodata.pyx | 2 +- rmgpy/thermo/wilhoit.pyx | 2 +- 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 832183ac757..8b2a65ae946 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -34,6 +34,7 @@ cimport numpy as np from libc.math cimport log cimport rmgpy.constants as constants +import rmgpy.quantity as quantity ################################################################################ @@ -123,7 +124,7 @@ cdef class NASAPolynomial(HeatCapacityModel): 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], } - self._coverage_dependence[species] = processed_parameters + self._thermo_coverage_dependence[species] = processed_parameters cpdef double get_heat_capacity(self, double T) except -1000000000: """ diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 99c72377897..e38ae87b51b 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -131,7 +131,7 @@ cdef class ThermoData(HeatCapacityModel): 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], } - self._coverage_dependence[species] = processed_parameters + self._thermo_coverage_dependence[species] = processed_parameters @cython.boundscheck(False) @cython.wraparound(False) diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 2dc974b016d..15299666364 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -153,7 +153,7 @@ cdef class Wilhoit(HeatCapacityModel): 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], } - self._coverage_dependence[species] = processed_parameters + self._thermo_coverage_dependence[species] = processed_parameters cpdef double get_heat_capacity(self, double T) except -1000000000: """ From 50402b8e0441913b0c3aaf0594fe8606135fba8a Mon Sep 17 00:00:00 2001 From: 12Chao Date: Tue, 12 Mar 2024 16:12:12 -0400 Subject: [PATCH 255/700] Add thermo_coverage_dependence as new property to NASA --- rmgpy/thermo/nasa.pxd | 1 + rmgpy/thermo/nasa.pyx | 36 ++++++++++++++++++++++++++---------- 2 files changed, 27 insertions(+), 10 deletions(-) diff --git a/rmgpy/thermo/nasa.pxd b/rmgpy/thermo/nasa.pxd index fb221419dae..43f629e60c9 100644 --- a/rmgpy/thermo/nasa.pxd +++ b/rmgpy/thermo/nasa.pxd @@ -57,6 +57,7 @@ cdef class NASAPolynomial(HeatCapacityModel): cdef class NASA(HeatCapacityModel): cdef public NASAPolynomial poly1, poly2, poly3 + cdef public dict _thermo_coverage_dependence cpdef NASAPolynomial select_polynomial(self, double T) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 8b2a65ae946..d7af53acd06 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -221,19 +221,20 @@ cdef class NASA(HeatCapacityModel): A heat capacity model based on a set of one, two, or three :class:`NASAPolynomial` objects. The attributes are: - =============== ============================================================ - Attribute Description - =============== ============================================================ - `polynomials` The list of NASA polynomials to use in this model - `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined - `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined - `E0` The energy at zero Kelvin (including zero point energy) - `comment` Information about the model (e.g. its source) - =============== ============================================================ + ============================ ============================================================ + Attribute Description + ============================ ============================================================ + `polynomials` The list of NASA polynomials to use in this model + `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined + `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined + `E0` The energy at zero Kelvin (including zero point energy) + `thermo_coverage_dependence` The coverage dependence of the thermo + `comment` Information about the model (e.g. its source) + ============================ ============================================================ """ - def __init__(self, polynomials=None, Tmin=None, Tmax=None, E0=None, Cp0=None, CpInf=None, label='', comment=''): + def __init__(self, polynomials=None, Tmin=None, Tmax=None, E0=None, Cp0=None, CpInf=None, label='', thermo_coverage_dependence=None, comment=''): HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment) if isinstance(polynomials, dict): self.polynomials = list(polynomials.values()) @@ -318,6 +319,21 @@ cdef class NASA(HeatCapacityModel): else: raise ValueError('No valid NASA polynomial at temperature {0:g} K.'.format(T)) + property thermo_coverage_dependence: + """The coverage dependence of the thermo""" + def __get__(self): + return self._thermo_coverage_dependence + def __set__(self, value): + self._thermo_coverage_dependence = {} + if value: + for species, parameters in value.items(): + # just the polynomial model for now + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + } + self._thermo_coverage_dependence[species] = processed_parameters + cpdef double get_heat_capacity(self, double T) except -1000000000: """ Return the constant-pressure heat capacity From 669ba4ee39e6711c5ac61dd388a6accf03ae0ca4 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 13 Mar 2024 14:53:34 -0400 Subject: [PATCH 256/700] Move thermo_coverage_dependence from NASAPolynomial to NASA --- rmgpy/thermo/nasa.pxd | 1 - rmgpy/thermo/nasa.pyx | 44 +++++++++++++++---------------------------- 2 files changed, 15 insertions(+), 30 deletions(-) diff --git a/rmgpy/thermo/nasa.pxd b/rmgpy/thermo/nasa.pxd index 43f629e60c9..6922c51e540 100644 --- a/rmgpy/thermo/nasa.pxd +++ b/rmgpy/thermo/nasa.pxd @@ -34,7 +34,6 @@ from rmgpy.thermo.wilhoit cimport Wilhoit cdef class NASAPolynomial(HeatCapacityModel): cdef public double cm2, cm1, c0, c1, c2, c3, c4, c5, c6 - cdef public dict _thermo_coverage_dependence cpdef dict as_dict(self) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index d7af53acd06..4014cdfc1be 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -44,20 +44,19 @@ cdef class NASAPolynomial(HeatCapacityModel): seven-coefficient and nine-coefficient variations are supported. The attributes are: - =========================== ============================================================ - Attribute Description - =========================== ============================================================ - `coeffs` The seven or nine NASA polynomial coefficients - `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined - `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined - `E0` The energy at zero Kelvin (including zero point energy) - `thermo_coverage_dependence` The coverage dependence of the thermo - `comment` Information about the model (e.g. its source) - =========================== ============================================================ + ========= ============================================================ + Attribute Description + ========= ============================================================ + `coeffs` The seven or nine NASA polynomial coefficients + `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined + `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined + `E0` The energy at zero Kelvin (including zero point energy) + `comment` Information about the model (e.g. its source) + ========= ============================================================ """ - def __init__(self, coeffs=None, Tmin=None, Tmax=None, E0=None, label='', thermo_coverage_dependence=None, comment=''): + def __init__(self, coeffs=None, Tmin=None, Tmax=None, E0=None, label='', comment=''): HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, label=label, comment=comment) self.coeffs = coeffs @@ -75,7 +74,6 @@ cdef class NASAPolynomial(HeatCapacityModel): if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax) if self.E0 is not None: string += ', E0={0!r}'.format(self.E0) if self.label != '': string += ', label="""{0}"""'.format(self.label) - if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence) if self.comment != '': string += ', comment="""{0}"""'.format(self.comment) string += ')' return string @@ -84,7 +82,7 @@ cdef class NASAPolynomial(HeatCapacityModel): """ A helper function used when pickling an object. """ - return (NASAPolynomial, ([self.cm2, self.cm1, self.c0, self.c1, self.c2, self.c3, self.c4, self.c5, self.c6], self.Tmin, self.Tmax, self.E0, self.label, self.thermo_coverage_dependence, self.comment)) + return (NASAPolynomial, ([self.cm2, self.cm1, self.c0, self.c1, self.c2, self.c3, self.c4, self.c5, self.c6], self.Tmin, self.Tmax, self.E0, self.label, self.comment)) cpdef dict as_dict(self): output_dictionary = super(NASAPolynomial, self).as_dict() @@ -111,21 +109,6 @@ cdef class NASAPolynomial(HeatCapacityModel): else: raise ValueError('Invalid number of NASA polynomial coefficients; expected 7 or 9, got {0:d}.'.format(len(value))) - property thermo_coverage_dependence: - """The coverage dependence of the thermo""" - def __get__(self): - return self._thermo_coverage_dependence - def __set__(self, value): - self._thermo_coverage_dependence = {} - if value: - for species, parameters in value.items(): - # just the polynomial model for now - processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], - } - self._thermo_coverage_dependence[species] = processed_parameters - cpdef double get_heat_capacity(self, double T) except -1000000000: """ Return the constant-pressure heat capacity in J/mol*K at the specified @@ -240,6 +223,7 @@ cdef class NASA(HeatCapacityModel): self.polynomials = list(polynomials.values()) else: self.polynomials = polynomials + self.thermo_coverage_dependence = thermo_coverage_dependence def __repr__(self): """ @@ -254,6 +238,7 @@ cdef class NASA(HeatCapacityModel): if self.Cp0 is not None: string += ', Cp0={0!r}'.format(self.Cp0) if self.CpInf is not None: string += ', CpInf={0!r}'.format(self.CpInf) if self.label != '': string += ', label="""{0}"""'.format(self.label) + if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence) if self.comment != '': string += ', comment="""{0}"""'.format(self.comment) string += ')' return string @@ -262,7 +247,7 @@ cdef class NASA(HeatCapacityModel): """ A helper function used when pickling an object. """ - return (NASA, (self.polynomials, self.Tmin, self.Tmax, self.E0, self.Cp0, self.CpInf, self.label, self.comment)) + return (NASA, (self.polynomials, self.Tmin, self.Tmax, self.E0, self.Cp0, self.CpInf, self.label, self.thermo_coverage_dependence, self.comment)) cpdef dict as_dict(self): """ @@ -434,6 +419,7 @@ cdef class NASA(HeatCapacityModel): poly.change_base_entropy(deltaS) return self + # need to modify this to include the thermo coverage dependence def to_cantera(self): """ Return the cantera equivalent NasaPoly2 object from this NASA object. From f887b57517d479ae2f342f078f8629d85a6cd66c Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 13 Mar 2024 16:01:00 -0400 Subject: [PATCH 257/700] Add unit test for coverage dependent thermodynamics in RMG thermo classes --- test/rmgpy/thermo/convertTest.py | 11 +++++++++++ test/rmgpy/thermo/nasaTest.py | 14 ++++++++++++++ test/rmgpy/thermo/thermodataTest.py | 10 ++++++++++ test/rmgpy/thermo/wilhoitTest.py | 22 +++++++++++++++++++++- 4 files changed, 56 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/thermo/convertTest.py b/test/rmgpy/thermo/convertTest.py index 94637ce8f63..d35f3de4c7f 100644 --- a/test/rmgpy/thermo/convertTest.py +++ b/test/rmgpy/thermo/convertTest.py @@ -57,6 +57,7 @@ def setup_class(self): S0=(-118.46 * constants.R, "J/(mol*K)"), Tmin=(10, "K"), Tmax=(3000, "K"), + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, comment="C2H6", ) self.nasa = NASA( @@ -93,6 +94,7 @@ def setup_class(self): E0=(-93.6077, "kJ/mol"), Cp0=(4.0 * constants.R, "J/(mol*K)"), CpInf=(21.5 * constants.R, "J/(mol*K)"), + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, comment="C2H6", ) self.thermodata = ThermoData( @@ -108,6 +110,7 @@ def setup_class(self): Tmin=(10, "K"), Tmax=(3000, "K"), E0=(-93.6077, "kJ/mol"), + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, comment="C2H6", ) @@ -129,6 +132,7 @@ def test_convert_wilhoit_to_nasa(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_wilhoit) < 1e0 assert abs(wilhoit.E0.value_si - nasa.E0.value_si) < 1e1 + assert repr(nasa.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) def test_convert_wilhoit_to_thermo_data(self): """ @@ -149,6 +153,7 @@ def test_convert_wilhoit_to_thermo_data(self): s_thermodata = thermodata.get_entropy(T) assert round(abs(s_thermodata - s_wilhoit), 4) == 0 assert abs(wilhoit.E0.value_si - thermodata.E0.value_si) < 1e1 + assert repr(thermodata.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) def test_convert_nasa_to_wilhoit(self): """ @@ -168,6 +173,7 @@ def test_convert_nasa_to_wilhoit(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_wilhoit) < 1e0 assert abs(nasa.E0.value_si - wilhoit.E0.value_si) < 2e1 + assert repr(wilhoit.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) def test_convert_nasa_to_thermo_data(self): """ @@ -188,6 +194,7 @@ def test_convert_nasa_to_thermo_data(self): s_nasa = nasa.get_entropy(T) assert round(abs(s_nasa - s_thermodata), 4) == 0 assert abs(nasa.E0.value_si - thermodata.E0.value_si) < 1e1 + assert repr(thermodata.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) def test_convert_thermo_data_to_wilhoit(self): """ @@ -208,6 +215,7 @@ def test_convert_thermo_data_to_wilhoit(self): s_thermodata = thermodata.get_entropy(T) assert round(abs(s_thermodata - s_wilhoit), 3) == 0 assert abs(thermodata.E0.value_si - wilhoit.E0.value_si) < 1e1 + assert repr(wilhoit.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) def test_convert_thermo_data_to_nasa(self): """ @@ -228,6 +236,7 @@ def test_convert_thermo_data_to_nasa(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_thermodata) < 1e0 assert abs(thermodata.E0.value_si - nasa.E0.value_si) < 1e1 + assert repr(nasa.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) def test_wilhoit_nasa_wilhoit(self): """ @@ -248,6 +257,7 @@ def test_wilhoit_nasa_wilhoit(self): s_2 = wilhoit2.get_entropy(T) assert abs(s_1 - s_2) < 1e0 assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1 + assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence) def test_wilhoit_thermo_data_wilhoit(self): """ @@ -268,3 +278,4 @@ def test_wilhoit_thermo_data_wilhoit(self): s_2 = wilhoit2.get_entropy(T) assert abs(s_1 - s_2) < 1e0 assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1 + assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence) diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py index f08b28e0da1..8945bef5f42 100644 --- a/test/rmgpy/thermo/nasaTest.py +++ b/test/rmgpy/thermo/nasaTest.py @@ -39,6 +39,7 @@ import rmgpy.constants as constants from rmgpy.quantity import ScalarQuantity from rmgpy.thermo.nasa import NASA, NASAPolynomial +from rmgpy.quantity import Dimensionless class TestNASA: @@ -69,6 +70,7 @@ def setup_class(self): self.Tmax = 3000.0 self.Tint = 650.73 self.E0 = -782292.0 # J/mol. + self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.comment = "C2H6" self.nasa = NASA( polynomials=[ @@ -82,6 +84,7 @@ def setup_class(self): Tmin=(self.Tmin, "K"), Tmax=(self.Tmax, "K"), E0=(self.E0, "J/mol"), + thermo_coverage_dependence=self.thermo_coverage_dependence, comment=self.comment, ) @@ -136,6 +139,12 @@ def test_comment(self): Test that the NASA comment property was properly set. """ assert self.nasa.comment == self.comment + + def test_thermo_coverage_dependence(self): + """ + Test that the thermo_coverage_dependence property was properly set. + """ + assert repr(self.nasa.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence) def test_is_temperature_valid(self): """ @@ -263,6 +272,7 @@ def test_pickle(self): assert self.nasa.Tmax.units == nasa.Tmax.units assert self.nasa.E0.value == nasa.E0.value assert self.nasa.E0.units == nasa.E0.units + assert repr(self.nasa.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) assert self.nasa.comment == nasa.comment def test_repr(self): @@ -296,6 +306,7 @@ def test_repr(self): assert self.nasa.Tmax.units == nasa.Tmax.units assert self.nasa.E0.value == nasa.E0.value assert self.nasa.E0.units == nasa.E0.units + assert repr(self.nasa.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) assert self.nasa.comment == nasa.comment def test_to_cantera(self): @@ -326,6 +337,7 @@ def test_to_nasa(self): spc = Species().from_smiles("CC") spc.get_thermo_data() + spc.thermo.thermo_coverage_dependence = self.thermo_coverage_dependence T = 1350.0 # not 298K! @@ -353,6 +365,7 @@ def test_to_nasa(self): assert round(abs(s_nasa - s_td), -1) == 0 assert wilhoit.comment == nasa.comment + assert repr(wilhoit.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) # nasa to wilhoi performed in wilhoitTest @@ -364,6 +377,7 @@ def test_nasa_as_dict_full(self): assert nasa_dict["E0"]["value"] == self.E0 assert nasa_dict["Tmin"]["value"] == self.Tmin assert nasa_dict["Tmax"]["value"] == self.Tmax + assert repr(nasa_dict["thermo_coverage_dependence"]) == "{'OX': {'model': 'polynomial', 'enthalpy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, {'class': 'ScalarQuantity', 'value': 2.0}, {'class': 'ScalarQuantity', 'value': 3.0}], 'entropy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, {'class': 'ScalarQuantity', 'value': 2.0}, {'class': 'ScalarQuantity', 'value': 3.0}]}}" assert nasa_dict["comment"] == self.comment assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low) assert tuple(nasa_dict["polynomials"]["polynomial2"]["coeffs"]["object"]) == tuple(self.coeffs_high) diff --git a/test/rmgpy/thermo/thermodataTest.py b/test/rmgpy/thermo/thermodataTest.py index e3a633c2dac..cca336e1332 100644 --- a/test/rmgpy/thermo/thermodataTest.py +++ b/test/rmgpy/thermo/thermodataTest.py @@ -53,6 +53,7 @@ def setup_class(self): self.Tmin = 100.0 self.Tmax = 3000.0 self.E0 = -782292.0 + self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.comment = "C2H6" self.thermodata = ThermoData( Tdata=(self.Tdata, "K"), @@ -64,6 +65,7 @@ def setup_class(self): Tmin=(self.Tmin, "K"), Tmax=(self.Tmax, "K"), E0=(self.E0, "J/mol"), + thermo_coverage_dependence=self.thermo_coverage_dependence, comment=self.comment, ) @@ -130,6 +132,12 @@ def test_comment(self): Test that the ThermoData comment property was properly set. """ assert self.thermodata.comment == self.comment + + def test_thermo_coverage_dependence(self): + """ + Test that the ThermoData thermo_coverage_dependence property was properly set. + """ + assert repr(self.thermodata.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence) def test_is_temperature_valid(self): """ @@ -261,6 +269,7 @@ def test_pickle(self): assert round(abs(self.thermodata.E0.value - thermodata.E0.value), 4) == 0 assert self.thermodata.E0.units == thermodata.E0.units assert self.thermodata.label == thermodata.label + assert repr(self.thermodata.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) assert self.thermodata.comment == thermodata.comment def test_repr(self): @@ -295,6 +304,7 @@ def test_repr(self): assert round(abs(self.thermodata.E0.value - thermodata.E0.value), 4) == 0 assert self.thermodata.E0.units == thermodata.E0.units assert self.thermodata.label == thermodata.label + assert repr(self.thermodata.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) assert self.thermodata.comment == thermodata.comment def test_is_all_zeros(self): diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py index 4b74fd72a76..15d76d34fa1 100644 --- a/test/rmgpy/thermo/wilhoitTest.py +++ b/test/rmgpy/thermo/wilhoitTest.py @@ -45,7 +45,6 @@ class TestWilhoit: """ Contains unit tests of the :class:`Wilhoit` class. """ - def setup_class(self): self.Cp0 = 4.0 self.CpInf = 21.5 @@ -59,6 +58,7 @@ def setup_class(self): self.Tmin = 300.0 self.Tmax = 3000.0 self.comment = "C2H6" + self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.wilhoit = Wilhoit( Cp0=(self.Cp0 * constants.R, "J/(mol*K)"), CpInf=(self.CpInf * constants.R, "J/(mol*K)"), @@ -71,6 +71,7 @@ def setup_class(self): S0=(self.S0 * constants.R, "J/(mol*K)"), Tmin=(self.Tmin, "K"), Tmax=(self.Tmax, "K"), + thermo_coverage_dependence=self.thermo_coverage_dependence, comment=self.comment, ) @@ -159,6 +160,12 @@ def test_comment(self): Test that the Wilhoit comment property was properly set. """ assert self.wilhoit.comment == self.comment + + def test_thermo_coverage_dependence(self): + """ + Test that the Wilhoit thermo_coverage_dependence property was properly set. + """ + assert repr(self.wilhoit.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence) def test_is_temperature_valid(self): """ @@ -287,6 +294,7 @@ def test_pickle(self): assert self.wilhoit.Tmax.units == wilhoit.Tmax.units assert round(abs(self.wilhoit.E0.value - wilhoit.E0.value), 4) == 0 assert self.wilhoit.E0.units == wilhoit.E0.units + assert repr(self.wilhoit.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) assert self.wilhoit.comment == wilhoit.comment def test_repr(self): @@ -318,6 +326,7 @@ def test_repr(self): assert self.wilhoit.Tmax.units == wilhoit.Tmax.units assert round(abs(self.wilhoit.E0.value - wilhoit.E0.value), 1) == 0 assert self.wilhoit.E0.units == wilhoit.E0.units + assert repr(self.wilhoit.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) assert self.wilhoit.comment == wilhoit.comment def test_fit_to_data(self): @@ -381,6 +390,7 @@ def test_to_wilhoit(self): spc = Species().from_smiles("CC") spc.get_thermo_data() + spc.thermo.thermo_coverage_dependence = self.thermo_coverage_dependence T = 1350.0 # not 298K! @@ -448,6 +458,16 @@ def test_wilhoit_as_dict(self): "value": 178.76114800000002, }, "class": "Wilhoit", + 'thermo_coverage_dependence': {'OX': { + 'model': 'polynomial', + 'enthalpy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, + {'class': 'ScalarQuantity', 'value': 2.0}, + {'class': 'ScalarQuantity', 'value': 3.0} + ], + 'entropy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, + {'class': 'ScalarQuantity', 'value': 2.0}, + {'class': 'ScalarQuantity', 'value': 3.0} + ]}} } def test_make_wilhoit(self): From cdf11f3a3260119df8df794ba202b39ca3370844 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 13 Mar 2024 16:11:59 -0400 Subject: [PATCH 258/700] check thermo_coverage_dependence is not empty --- test/rmgpy/thermo/convertTest.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/test/rmgpy/thermo/convertTest.py b/test/rmgpy/thermo/convertTest.py index d35f3de4c7f..ef2f7265e31 100644 --- a/test/rmgpy/thermo/convertTest.py +++ b/test/rmgpy/thermo/convertTest.py @@ -132,6 +132,7 @@ def test_convert_wilhoit_to_nasa(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_wilhoit) < 1e0 assert abs(wilhoit.E0.value_si - nasa.E0.value_si) < 1e1 + assert repr(nasa.thermo_coverage_dependence) != {} assert repr(nasa.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) def test_convert_wilhoit_to_thermo_data(self): @@ -153,6 +154,7 @@ def test_convert_wilhoit_to_thermo_data(self): s_thermodata = thermodata.get_entropy(T) assert round(abs(s_thermodata - s_wilhoit), 4) == 0 assert abs(wilhoit.E0.value_si - thermodata.E0.value_si) < 1e1 + assert repr(thermodata.thermo_coverage_dependence) != {} assert repr(thermodata.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence) def test_convert_nasa_to_wilhoit(self): @@ -173,6 +175,7 @@ def test_convert_nasa_to_wilhoit(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_wilhoit) < 1e0 assert abs(nasa.E0.value_si - wilhoit.E0.value_si) < 2e1 + assert repr(wilhoit.thermo_coverage_dependence) != {} assert repr(wilhoit.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) def test_convert_nasa_to_thermo_data(self): @@ -194,6 +197,7 @@ def test_convert_nasa_to_thermo_data(self): s_nasa = nasa.get_entropy(T) assert round(abs(s_nasa - s_thermodata), 4) == 0 assert abs(nasa.E0.value_si - thermodata.E0.value_si) < 1e1 + assert repr(thermodata.thermo_coverage_dependence) != {} assert repr(thermodata.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) def test_convert_thermo_data_to_wilhoit(self): @@ -215,6 +219,7 @@ def test_convert_thermo_data_to_wilhoit(self): s_thermodata = thermodata.get_entropy(T) assert round(abs(s_thermodata - s_wilhoit), 3) == 0 assert abs(thermodata.E0.value_si - wilhoit.E0.value_si) < 1e1 + assert repr(wilhoit.thermo_coverage_dependence) != {} assert repr(wilhoit.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) def test_convert_thermo_data_to_nasa(self): @@ -236,6 +241,7 @@ def test_convert_thermo_data_to_nasa(self): s_nasa = nasa.get_entropy(T) assert abs(s_nasa - s_thermodata) < 1e0 assert abs(thermodata.E0.value_si - nasa.E0.value_si) < 1e1 + assert repr(nasa.thermo_coverage_dependence) != {} assert repr(nasa.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence) def test_wilhoit_nasa_wilhoit(self): @@ -257,6 +263,7 @@ def test_wilhoit_nasa_wilhoit(self): s_2 = wilhoit2.get_entropy(T) assert abs(s_1 - s_2) < 1e0 assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1 + assert repr(wilhoit1.thermo_coverage_dependence) != {} assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence) def test_wilhoit_thermo_data_wilhoit(self): @@ -278,4 +285,5 @@ def test_wilhoit_thermo_data_wilhoit(self): s_2 = wilhoit2.get_entropy(T) assert abs(s_1 - s_2) < 1e0 assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1 + assert repr(wilhoit1.thermo_coverage_dependence) != {} assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence) From d927e5adac56a98919d0c8031edfc84cc8b7a104 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 13 Mar 2024 19:19:42 -0400 Subject: [PATCH 259/700] Fix the bug for calculating thermo coverage dependent correct values --- rmgpy/solver/surface.pyx | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 54151c49938..4b15a0240f8 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -205,9 +205,7 @@ cdef class SurfaceReactor(ReactionSystem): for sp, sp_index in self.species_index.items(): if sp.contains_surface_site(): if self.thermo_coverage_dependence and sp.thermo.thermo_coverage_dependence: - # think about the data structure of thermo coverage dependence - # should not be a list, a dictionary would be better - for spec, parameters in sp.thermo.coverage_dependence.items(): + for spec, parameters in sp.thermo.thermo_coverage_dependence.items(): species_index = self.species_index[spec] try: list_of_thermo_coverage_deps = self.thermo_coverage_dependencies[species_index] @@ -216,6 +214,10 @@ cdef class SurfaceReactor(ReactionSystem): self.thermo_coverage_dependencies[sp_index] = list_of_thermo_coverage_deps # need to specify the entropy and enthalpy models # linear, piecewise linear, polynomial, interpolative models + if parameters['model'] == "polynomial": + # for the case of polynomial, we need to insert a 0 for the constant term + parameters['enthalpy-coefficients'] = [0]+[x.value_si for x in parameters['enthalpy-coefficients']] + parameters['entropy-coefficients'] = [0]+[x.value_si for x in parameters['entropy-coefficients']] list_of_thermo_coverage_deps.append((sp_index, parameters)) """ @@ -478,14 +480,14 @@ cdef class SurfaceReactor(ReactionSystem): if parameters['model'] == "linear": pass elif parameters['model'] == "polynomial": - enthalpy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['enthalpy-coefficients'].insert(0,0)) # insert 0 for the constant term - entropy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['entropy-coefficients'].insert(0,0)) + enthalpy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['enthalpy-coefficients']) # insert 0 for the constant term + entropy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['entropy-coefficients']) free_energy_coverage_corrections[j] += enthalpy_cov_correction - self.T.value_si * entropy_cov_correction elif parameters['model'] == "piecewise-linear": pass elif parameters['model'] == "interpolative": pass - corrected_K_eq = copy.deepcopy(self.K_eq) + corrected_K_eq = copy.deepcopy(self.Keq) # correct the K_eq for j in range(ir.shape[0]): if ir[j, 0] >= num_core_species or ir[j, 1] >= num_core_species or ir[j, 2] >= num_core_species: From 060f252e73b69d7cb02c1bedbcc78c687d1791e1 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Fri, 15 Mar 2024 17:58:21 -0400 Subject: [PATCH 260/700] add a big matrix for species Gibbs free energy corrections --- rmgpy/solver/surface.pyx | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 4b15a0240f8..ab334546b82 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -67,6 +67,7 @@ cdef class SurfaceReactor(ReactionSystem): cdef public ScalarQuantity surface_site_density cdef public np.ndarray reactions_on_surface # (catalyst surface, not core/edge surface) cdef public np.ndarray species_on_surface # (catalyst surface, not core/edge surface) + cdef public np.ndarray thermo_coeff_matrix cdef public bint coverage_dependence cdef public dict coverage_dependencies @@ -173,6 +174,8 @@ cdef class SurfaceReactor(ReactionSystem): ) cdef np.ndarray[np.int_t, ndim=1] species_on_surface, reactions_on_surface cdef Py_ssize_t index + cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index)*len(self.species_index), 4), dtype=np.float64) + self.thermo_coeff_matrix = thermo_coeff_matrix #: 1 if it's on a surface, 0 if it's in the gas phase reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int) species_on_surface = np.zeros((self.num_core_species), int) @@ -206,7 +209,10 @@ cdef class SurfaceReactor(ReactionSystem): if sp.contains_surface_site(): if self.thermo_coverage_dependence and sp.thermo.thermo_coverage_dependence: for spec, parameters in sp.thermo.thermo_coverage_dependence.items(): - species_index = self.species_index[spec] + try: + species_index = self.species_index[spec] + except KeyError: + logging.warning("Species {} is not in the species list yet, skip the thermodynamic coverage effect estimation!".format(spec)) try: list_of_thermo_coverage_deps = self.thermo_coverage_dependencies[species_index] except KeyError: # doesn't exist yet @@ -413,8 +419,6 @@ cdef class SurfaceReactor(ReactionSystem): cdef list list_of_coverage_deps cdef double surface_site_fraction, total_sites, a, m, E - - ir = self.reactant_indices ip = self.product_indices equilibrium_constants = self.Keq @@ -500,12 +504,12 @@ cdef class SurfaceReactor(ReactionSystem): corrected_K_eq[j] *= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]] + free_energy_coverage_corrections[ir[j, 2]]) / (constants.R * self.T.value_si)) if ip[j, 0] >= num_core_species or ip[j, 1] >= num_core_species or ip[j, 2] >= num_core_species: pass - elif ip[j, 1] == -1: # only one reactant - corrected_K_eq[j] /= np.exp(free_energy_coverage_corrections[ir[j, 0]] / (constants.R * self.T.value_si)) - elif ip[j, 2] == -1: # only two reactants - corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]]) / (constants.R * self.T.value_si)) - else: # three reactants!! (really?) - corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]] + free_energy_coverage_corrections[ir[j, 2]]) / (constants.R * self.T.value_si)) + elif ip[j, 1] == -1: # only one product + corrected_K_eq[j] /= np.exp(free_energy_coverage_corrections[ip[j, 0]] / (constants.R * self.T.value_si)) + elif ip[j, 2] == -1: # only two products + corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ip[j, 0]] + free_energy_coverage_corrections[ip[j, 1]]) / (constants.R * self.T.value_si)) + else: # three products!! (really?) + corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ip[j, 0]] + free_energy_coverage_corrections[ip[j, 1]] + free_energy_coverage_corrections[ip[j, 2]]) / (constants.R * self.T.value_si)) kr = kf / corrected_K_eq # Coverage dependence coverage_corrections = np.ones_like(kf, float) From 518859e31b33e91118b61ecafe483af22bbfb8ef Mon Sep 17 00:00:00 2001 From: 12Chao Date: Fri, 15 Mar 2024 21:25:26 -0400 Subject: [PATCH 261/700] correct Gibbs free energy for each species based on its 3-parameter polynomial thermo coverage depedent model --- rmgpy/solver/surface.pyx | 72 +++++++++++----------------------------- 1 file changed, 19 insertions(+), 53 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index ab334546b82..b943df82636 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -174,7 +174,7 @@ cdef class SurfaceReactor(ReactionSystem): ) cdef np.ndarray[np.int_t, ndim=1] species_on_surface, reactions_on_surface cdef Py_ssize_t index - cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index)*len(self.species_index), 4), dtype=np.float64) + cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index), len(self.species_index), 6), dtype=np.float64) self.thermo_coeff_matrix = thermo_coeff_matrix #: 1 if it's on a surface, 0 if it's in the gas phase reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int) @@ -211,30 +211,11 @@ cdef class SurfaceReactor(ReactionSystem): for spec, parameters in sp.thermo.thermo_coverage_dependence.items(): try: species_index = self.species_index[spec] + thermo_polynomials = parameters['enthalpy-coefficients'] + parameters['entropy-coefficients'] + self.thermo_coeff_matrix[sp_index, species_index] = [x.value_si for x in thermo_polynomials] except KeyError: logging.warning("Species {} is not in the species list yet, skip the thermodynamic coverage effect estimation!".format(spec)) - try: - list_of_thermo_coverage_deps = self.thermo_coverage_dependencies[species_index] - except KeyError: # doesn't exist yet - list_of_thermo_coverage_deps = [] - self.thermo_coverage_dependencies[sp_index] = list_of_thermo_coverage_deps - # need to specify the entropy and enthalpy models - # linear, piecewise linear, polynomial, interpolative models - if parameters['model'] == "polynomial": - # for the case of polynomial, we need to insert a 0 for the constant term - parameters['enthalpy-coefficients'] = [0]+[x.value_si for x in parameters['enthalpy-coefficients']] - parameters['entropy-coefficients'] = [0]+[x.value_si for x in parameters['entropy-coefficients']] - list_of_thermo_coverage_deps.append((sp_index, parameters)) - - """ - self.thermo_coverage_dependencies[2] = [(3, {"model":"linear","enthalpy-coefficients":[], "entropy-coefficients":[]}),] - self.thermo_coverage_dependencies[2] = [(3, {"model":"polynomial","enthalpy-coefficients":[], "entropy-coefficients":[]}),] - self.thermo_coverage_dependencies[2] = [(3, {"model":"piecewise-linear","enthalpy-coefficients":{"enthalpy_high":, "enthalpy_low":, "enthalpy_change":}, - "entropy-coefficients":{"entropy_high":, "entropy_low":, "entropy_change"}, "Cp":{"heat-capacity-a":, "heat-capacity-b":}}),] - self.thermo_coverage_dependencies[2] = {(3, {"model":"interpolative","enthalpy-coefficients":{"enthalpy-coverages":, "enthalpies":}, "entropy-coefficients":{"entropy-coverages":, "entropies":}}),} - means that Species with index 2 in the current simulation is used in - Species 3 with parameters for linear, polynomial, piecewise-linear, and interpolative models - """ + self.species_on_surface = species_on_surface self.reactions_on_surface = reactions_on_surface @@ -418,7 +399,6 @@ cdef class SurfaceReactor(ReactionSystem): cdef np.ndarray[np.float64_t, ndim=2] jacobian, dgdk cdef list list_of_coverage_deps cdef double surface_site_fraction, total_sites, a, m, E - ir = self.reactant_indices ip = self.product_indices equilibrium_constants = self.Keq @@ -452,7 +432,6 @@ cdef class SurfaceReactor(ReactionSystem): V = self.V # constant volume reactor A = self.V * surface_volume_ratio_si # area total_sites = self.surface_site_density.value_si * A # todo: double check units - for j in range(num_core_species): if species_on_surface[j]: C[j] = (N[j] / V) / surface_volume_ratio_si @@ -462,35 +441,22 @@ cdef class SurfaceReactor(ReactionSystem): core_species_concentrations[j] = C[j] # Thermodynamic coverage dependence - free_energy_coverage_corrections = np.zeros(len(self.species_index), float) # length of core + edge species if self.thermo_coverage_dependence: - """ - self.thermo_coverage_dependencies[2] = [(3, {"model":"linear","enthalpy-coefficients":[], "entropy-coefficients":[]}),] - self.thermo_coverage_dependencies[2] = [(3, {"model":"polynomial","enthalpy-coefficients":[], "entropy-coefficients":[]}),] - self.thermo_coverage_dependencies[2] = [(3, {"model":"piecewise-linear","enthalpy-coefficients":{"enthalpy_high":, "enthalpy_low":, "enthalpy_change":}, - "entropy-coefficients":{"entropy_high":, "entropy_low":, "entropy_change"}, "Cp":{"heat-capacity-a":, "heat-capacity-b":}}),] - self.thermo_coverage_dependencies[2] = {(3, {"model":"interpolative","enthalpy-coefficients":{"enthalpy-coverages":, "enthalpies":}, "entropy-coefficients":{"entropy-coverages":, "entropies":}}),} - means that Species with index 2 in the current simulation is used in - Species 3 with parameters for linear, polynomial, piecewise-linear, and interpolative models - """ - for i, list_of_thermo_coverage_deps in self.thermo_coverage_dependencies.items(): - surface_site_fraction = N[i] / total_sites - if surface_site_fraction < 1e-15: - continue - for j, parameters in list_of_thermo_coverage_deps: - # Species i, Species j - # need to specify the entropy and enthalpy models - # linear, piecewise linear, polynomial, interpolative models - if parameters['model'] == "linear": - pass - elif parameters['model'] == "polynomial": - enthalpy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['enthalpy-coefficients']) # insert 0 for the constant term - entropy_cov_correction = np.polynomial.polynomial.polyval(surface_site_fraction, parameters['entropy-coefficients']) - free_energy_coverage_corrections[j] += enthalpy_cov_correction - self.T.value_si * entropy_cov_correction - elif parameters['model'] == "piecewise-linear": - pass - elif parameters['model'] == "interpolative": - pass + coverages = [] + for i in range(len(N)): + if species_on_surface[i]: + surface_site_fraction = N[i] / total_sites + else: + surface_site_fraction = 0 + coverages.append(surface_site_fraction) + coverages = np.array(coverages) + thermo_dep_coverage = np.stack([coverages, coverages**2, coverages**3, -self.T.value_si*coverages, -self.T.value_si*coverages**2, -self.T.value_si*coverages**3]) + free_energy_coverage_corrections = [] + for matrix in self.thermo_coeff_matrix: + sp_free_energy_correction = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() + free_energy_coverage_corrections.append(sp_free_energy_correction) + free_energy_coverage_corrections = np.array(free_energy_coverage_corrections) + corrected_K_eq = copy.deepcopy(self.Keq) # correct the K_eq for j in range(ir.shape[0]): From e29275553d439a0e04e0957b6c35820d25441680 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 18 Mar 2024 19:24:25 -0400 Subject: [PATCH 262/700] use stoichiometric matrix to calculate the correct value for Keq --- rmgpy/solver/surface.pyx | 57 +++++++++++++++++++++++++--------------- 1 file changed, 36 insertions(+), 21 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index b943df82636..cddd981d274 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -68,6 +68,7 @@ cdef class SurfaceReactor(ReactionSystem): cdef public np.ndarray reactions_on_surface # (catalyst surface, not core/edge surface) cdef public np.ndarray species_on_surface # (catalyst surface, not core/edge surface) cdef public np.ndarray thermo_coeff_matrix + cdef public np.ndarray stoi_matrix cdef public bint coverage_dependence cdef public dict coverage_dependencies @@ -175,7 +176,9 @@ cdef class SurfaceReactor(ReactionSystem): cdef np.ndarray[np.int_t, ndim=1] species_on_surface, reactions_on_surface cdef Py_ssize_t index cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index), len(self.species_index), 6), dtype=np.float64) + cdef np.ndarray stoi_matrix = np.zeros((self.reactant_indices.shape[0], len(self.species_index)), dtype=np.float64) self.thermo_coeff_matrix = thermo_coeff_matrix + self.stoi_matrix = stoi_matrix #: 1 if it's on a surface, 0 if it's in the gas phase reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int) species_on_surface = np.zeros((self.num_core_species), int) @@ -215,7 +218,36 @@ cdef class SurfaceReactor(ReactionSystem): self.thermo_coeff_matrix[sp_index, species_index] = [x.value_si for x in thermo_polynomials] except KeyError: logging.warning("Species {} is not in the species list yet, skip the thermodynamic coverage effect estimation!".format(spec)) - + + if self.thermo_coverage_dependence: + ir = self.reactant_indices + ip = self.product_indices + for rxn_id, rxn_stoi_num in enumerate(stoi_matrix): + if ir[rxn_id, 0] >= self.num_core_species or ir[rxn_id, 1] >= self.num_core_species or ir[rxn_id, 2] >= self.num_core_species: + continue + elif ip[rxn_id, 0] >= self.num_core_species or ip[rxn_id, 1] >= self.num_core_species or ip[rxn_id, 2] >= self.num_core_species: + continue + else: + if ir[rxn_id, 1] == -1: # only one reactant + rxn_stoi_num[ir[rxn_id, 0]] += -1 + elif ir[rxn_id, 2] == -1: # only two reactants + rxn_stoi_num[ir[rxn_id, 0]] += -1 + rxn_stoi_num[ir[rxn_id, 1]] += -1 + else: # three reactants + rxn_stoi_num[ir[rxn_id, 0]] += -1 + rxn_stoi_num[ir[rxn_id, 1]] += -1 + rxn_stoi_num[ir[rxn_id, 2]] += -1 + if ip[rxn_id, 1] == -1: # only one product + rxn_stoi_num[ip[rxn_id, 0]] += 1 + elif ip[rxn_id, 2] == -1: # only two products + rxn_stoi_num[ip[rxn_id, 0]] += 1 + rxn_stoi_num[ip[rxn_id, 1]] += 1 + else: # three products + rxn_stoi_num[ip[rxn_id, 0]] += 1 + rxn_stoi_num[ip[rxn_id, 1]] += 1 + rxn_stoi_num[ip[rxn_id, 2]] += 1 + self.stoi_matrix = stoi_matrix + self.species_on_surface = species_on_surface self.reactions_on_surface = reactions_on_surface @@ -455,28 +487,11 @@ cdef class SurfaceReactor(ReactionSystem): for matrix in self.thermo_coeff_matrix: sp_free_energy_correction = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() free_energy_coverage_corrections.append(sp_free_energy_correction) - free_energy_coverage_corrections = np.array(free_energy_coverage_corrections) - + rxns_free_energy_change = np.diag(np.dot(self.stoi_matrix, np.transpose(np.array([free_energy_coverage_corrections])))) corrected_K_eq = copy.deepcopy(self.Keq) - # correct the K_eq - for j in range(ir.shape[0]): - if ir[j, 0] >= num_core_species or ir[j, 1] >= num_core_species or ir[j, 2] >= num_core_species: - pass - elif ir[j, 1] == -1: # only one reactant - corrected_K_eq[j] *= np.exp(free_energy_coverage_corrections[ir[j, 0]] / (constants.R * self.T.value_si)) - elif ir[j, 2] == -1: # only two reactants - corrected_K_eq[j] *= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]]) / (constants.R * self.T.value_si)) - else: # three reactants!! (really?) - corrected_K_eq[j] *= np.exp((free_energy_coverage_corrections[ir[j, 0]] + free_energy_coverage_corrections[ir[j, 1]] + free_energy_coverage_corrections[ir[j, 2]]) / (constants.R * self.T.value_si)) - if ip[j, 0] >= num_core_species or ip[j, 1] >= num_core_species or ip[j, 2] >= num_core_species: - pass - elif ip[j, 1] == -1: # only one product - corrected_K_eq[j] /= np.exp(free_energy_coverage_corrections[ip[j, 0]] / (constants.R * self.T.value_si)) - elif ip[j, 2] == -1: # only two products - corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ip[j, 0]] + free_energy_coverage_corrections[ip[j, 1]]) / (constants.R * self.T.value_si)) - else: # three products!! (really?) - corrected_K_eq[j] /= np.exp((free_energy_coverage_corrections[ip[j, 0]] + free_energy_coverage_corrections[ip[j, 1]] + free_energy_coverage_corrections[ip[j, 2]]) / (constants.R * self.T.value_si)) + corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) kr = kf / corrected_K_eq + # Coverage dependence coverage_corrections = np.ones_like(kf, float) if self.coverage_dependence: From 64b6e20a9720be62c20065f6b4fd5bf0c55e7dd8 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 20 Mar 2024 12:05:02 -0400 Subject: [PATCH 263/700] Add unit tests for thermo coverage dependent models in surface solver tests --- test/rmgpy/solver/solverSurfaceTest.py | 394 +++++++++++++++++++++++++ 1 file changed, 394 insertions(+) diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index 36c08b4ad83..dc9ee25b3fa 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -762,3 +762,397 @@ def test_solve_ch3_coverage_dependence(self): # Check that coverages are different assert not np.allclose(y, y_off) assert not np.allclose(species_rates, species_rates_off) + + def test_solve_h2_thermo_coverage_dependence(self): + """ + Test the surface batch reactor can properly apply thermo coverage dependent parameters + with the dissociative adsorption of H2. + + Here we choose a kinetic model consisting of the dissociative adsorption reaction + H2 + 2X <=> 2 HX + We use a SurfaceArrhenius for the rate expression. + """ + h2 = Species( + molecule=[Molecule().from_smiles("[H][H]")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=( + [6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502], + "cal/(mol*K)", + ), + H298=(0, "kcal/mol"), + S298=(31.129, "cal/(mol*K)"), + ), + ) + + x = Species( + molecule=[Molecule().from_adjacency_list("1 X u0 p0")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"), + H298=(0.0, "kcal/mol"), + S298=(0.0, "cal/(mol*K)"), + ), + ) + + hx = Species( + molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"), + H298=(-11.26, "kcal/mol"), + S298=(0.44, "cal/(mol*K)"), + ), + ) + hx.thermo.thermo_coverage_dependence = {hx:{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} + + rxn1 = Reaction( + reactants=[h2, x, x], + products=[hx, hx], + kinetics=SurfaceArrhenius( + A=(9.05e18, "cm^5/(mol^2*s)"), + n=0.5, + Ea=(5.0, "kJ/mol"), + T0=(1.0, "K"), + ), + ) + + rxn2 = Reaction( + reactants=[h2, x, x], + products=[hx, hx], + kinetics=SurfaceArrhenius( + A=(9.05e-18, "cm^5/(mol^2*s)"), # 1e36 times slower + n=0.5, + Ea=(5.0, "kJ/mol"), + T0=(1.0, "K"), + ), + ) + + core_species = [h2, x, hx] + edge_species = [] + core_reactions = [rxn1] + edge_reactions = [] + + T = 600 + P_initial = 1.0e5 + rxn_system = SurfaceReactor( + T, + P_initial, + n_sims=1, + initial_gas_mole_fractions={h2: 1.0}, + initial_surface_coverages={x: 1.0}, + surface_volume_ratio=(1e1, "m^-1"), + surface_site_density=(2.72e-9, "mol/cm^2"), + coverage_dependence=True, + termination=[], + ) + + rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions) + + tlist = np.logspace(-13, -5, 81, dtype=float) + + assert isinstance(hx.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type + for species, parameters in hx.thermo.thermo_coverage_dependence.items(): + assert isinstance(species, Species) # species should be a Species + assert isinstance(parameters, dict) + assert parameters["model"] is not None + assert parameters["enthalpy-coefficients"] is not None + assert parameters["entropy-coefficients"] is not None + # Integrate to get the solution at each time point + t = [] + y = [] + reaction_rates = [] + species_rates = [] + start_time = time.time() + for t1 in tlist: + rxn_system.advance(t1) + t.append(rxn_system.t) + # You must make a copy of y because it is overwritten by DASSL at + # each call to advance() + y.append(rxn_system.y.copy()) + reaction_rates.append(rxn_system.core_reaction_rates.copy()) + species_rates.append(rxn_system.core_species_rates.copy()) + run_time = time.time() - start_time + print(f"Simulation took {run_time:.3e} seconds") + + # Convert the solution vectors to np arrays + t = np.array(t, float) + y = np.array(y, float) + reaction_rates = np.array(reaction_rates, float) + species_rates = np.array(species_rates, float) + total_sites = y[0, 1] + + # Check that we're computing the species fluxes correctly + for i in range(t.shape[0]): + assert abs(reaction_rates[i, 0] - -1.0 * species_rates[i, 0]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + assert abs(reaction_rates[i, 0] - -0.5 * species_rates[i, 1]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + assert abs(reaction_rates[i, 0] - 0.5 * species_rates[i, 2]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + + # Check that we've reached equilibrium + assert abs(reaction_rates[-1, 0] - 0.0) < 1e-2 + + def test_solve_ch3_thermo_coverage_dependence(self): + """ + Test the surface batch reactor can properly apply coverage dependent parameters + with the nondissociative adsorption of CH3 + + Here we choose a kinetic model consisting of the adsorption reaction + CH3 + X <=> CH3X + We use a sticking coefficient for the rate expression. + """ + + ch3 = Species( + molecule=[Molecule().from_smiles("[CH3]")], + thermo=NASA( + polynomials=[ + NASAPolynomial( + coeffs=[ + 3.91547, + 0.00184155, + 3.48741e-06, + -3.32746e-09, + 8.49953e-13, + 16285.6, + 0.351743, + ], + Tmin=(100, "K"), + Tmax=(1337.63, "K"), + ), + NASAPolynomial( + coeffs=[ + 3.54146, + 0.00476786, + -1.82148e-06, + 3.28876e-10, + -2.22545e-14, + 16224, + 1.66032, + ], + Tmin=(1337.63, "K"), + Tmax=(5000, "K"), + ), + ], + Tmin=(100, "K"), + Tmax=(5000, "K"), + E0=(135.382, "kJ/mol"), + comment="""Thermo library: primaryThermoLibrary + radical(CH3)""", + ), + molecular_weight=(15.0345, "amu"), + ) + + x = Species( + molecule=[Molecule().from_adjacency_list("1 X u0 p0")], + thermo=NASA( + polynomials=[ + NASAPolynomial(coeffs=[0, 0, 0, 0, 0, 0, 0], Tmin=(298, "K"), Tmax=(1000, "K")), + NASAPolynomial(coeffs=[0, 0, 0, 0, 0, 0, 0], Tmin=(1000, "K"), Tmax=(2000, "K")), + ], + Tmin=(298, "K"), + Tmax=(2000, "K"), + E0=(-6.19426, "kJ/mol"), + comment="""Thermo library: surfaceThermo""", + ), + ) + + ch3x = Species( + molecule=[ + Molecule().from_adjacency_list( + """1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S}""" + ) + ], + thermo=NASA( + polynomials=[ + NASAPolynomial( + coeffs=[ + -0.552219, + 0.026442, + -3.55617e-05, + 2.60044e-08, + -7.52707e-12, + -4433.47, + 0.692144, + ], + Tmin=(298, "K"), + Tmax=(1000, "K"), + ), + NASAPolynomial( + coeffs=[ + 3.62557, + 0.00739512, + -2.43797e-06, + 1.86159e-10, + 3.6485e-14, + -5187.22, + -18.9668, + ], + Tmin=(1000, "K"), + Tmax=(2000, "K"), + ), + ], + Tmin=(298, "K"), + Tmax=(2000, "K"), + E0=(-39.1285, "kJ/mol"), + comment="""Thermo library: surfaceThermoNi111""", + ), + ) + ch3x.thermo.thermo_coverage_dependence = {ch3x:{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} + + rxn1 = Reaction( + reactants=[ch3, x], + products=[ch3x], + kinetics=StickingCoefficient( + A=0.1, + n=0, + Ea=(0, "kcal/mol"), + T0=(1, "K"), + Tmin=(200, "K"), + Tmax=(3000, "K"), + coverage_dependence={x: {"a": 0.0, "m": -1.0, "E": (0.0, "J/mol")}}, + comment="""Exact match found for rate rule (Adsorbate;VacantSite)""", + ), + ) + core_species = [ch3, x, ch3x] + edge_species = [] + core_reactions = [rxn1] + edge_reactions = [] + + T = 800.0 + P_initial = 1.0e5 + rxn_system = SurfaceReactor( + T, + P_initial, + n_sims=1, + initial_gas_mole_fractions={ch3: 1.0}, + initial_surface_coverages={x: 1.0}, + surface_volume_ratio=(1.0, "m^-1"), + surface_site_density=(2.72e-9, "mol/cm^2"), + coverage_dependence=True, + termination=[], + ) + # in chemkin, the sites are mostly occupied in about 1e-8 seconds. + + rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions) + + tlist = np.logspace(-13, -5, 81, dtype=float) + + print("Surface site density:", rxn_system.surface_site_density.value_si) + + print( + "rxn1 rate coefficient", + rxn1.get_surface_rate_coefficient(rxn_system.T.value_si, rxn_system.surface_site_density.value_si), + ) + + assert isinstance(ch3.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type + for species, parameters in ch3.thermo.thermo_coverage_dependence.items(): + assert isinstance(species, Species) # species should be a Species + assert isinstance(parameters, dict) + assert parameters["model"] is not None + assert parameters["enthalpy-coefficients"] is not None + assert parameters["entropy-coefficients"] is not None + + # Integrate to get the solution at each time point + t = [] + y = [] + reaction_rates = [] + species_rates = [] + t.append(rxn_system.t) + # You must make a copy of y because it is overwritten by DASSL at + # each call to advance() + y.append(rxn_system.y.copy()) + reaction_rates.append(rxn_system.core_reaction_rates.copy()) + species_rates.append(rxn_system.core_species_rates.copy()) + print("time: ", t) + print("moles:", y) + print("reaction rates:", reaction_rates) + print("species rates:", species_rates) + start_time = time.time() + for t1 in tlist: + rxn_system.advance(t1) + t.append(rxn_system.t) + # You must make a copy of y because it is overwritten by DASSL at + # each call to advance() + y.append(rxn_system.y.copy()) + reaction_rates.append(rxn_system.core_reaction_rates.copy()) + species_rates.append(rxn_system.core_species_rates.copy()) + run_time = time.time() - start_time + print(f"Simulation took {run_time:.3e} seconds") + + # Convert the solution vectors to np arrays + t = np.array(t, float) + y = np.array(y, float) + reaction_rates = np.array(reaction_rates, float) + species_rates = np.array(species_rates, float) + V = constants.R * rxn_system.T.value_si * np.sum(y) / rxn_system.P_initial.value_si + + # Check that we're computing the species fluxes correctly + for i in range(t.shape[0]): + assert abs(reaction_rates[i, 0] - -species_rates[i, 0]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + assert abs(reaction_rates[i, 0] - -species_rates[i, 1]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + assert abs(reaction_rates[i, 0] - species_rates[i, 2]) < abs( + 1e-6 * reaction_rates[i, 0] + ) + + # Check that we've reached equilibrium by the end + assert abs(reaction_rates[-1, 0] - 0.0) < 1e-2 + + # Run model with Covdep off so we can test that it is actually being implemented + rxn_system = SurfaceReactor( + T, + P_initial, + n_sims=1, + initial_gas_mole_fractions={ch3: 1.0}, + initial_surface_coverages={x: 1.0}, + surface_volume_ratio=(1.0, "m^-1"), + surface_site_density=(2.72e-9, "mol/cm^2"), + termination=[], + ) + + rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions) + + tlist = np.logspace(-13, -5, 81, dtype=float) + + # Integrate to get the solution at each time point + t = [] + y_off = [] + species_rates_off = [] + t.append(rxn_system.t) + + # You must make a copy of y because it is overwritten by DASSL at + # each call to advance() + y_off.append(rxn_system.y.copy()) + species_rates_off.append(rxn_system.core_species_rates.copy()) + for t1 in tlist: + rxn_system.advance(t1) + t.append(rxn_system.t) + # You must make a copy of y because it is overwritten by DASSL at + # each call to advance() + y_off.append(rxn_system.y.copy()) + species_rates_off.append(rxn_system.core_species_rates.copy()) + run_time = time.time() - start_time + print(f"Simulation took {run_time:.3e} seconds") + + # Convert the solution vectors to np arrays + t = np.array(t, float) + y_off = np.array(y_off, float) + species_rates_off = np.array(species_rates_off, float) + + # Check that we've reached equilibrium + assert abs(species_rates_off[-1, 0] - 0.0) < 1e-2 + + # Check that coverages are different + assert not np.allclose(y, y_off) + assert not np.allclose(species_rates, species_rates_off) From e81f9472d98be11aefd745bd6af1c1e3abc22f3f Mon Sep 17 00:00:00 2001 From: 12Chao Date: Sun, 24 Mar 2024 19:59:55 -0400 Subject: [PATCH 264/700] use isomorphic check to check if thermo coverage dependent species are in the model --- rmgpy/solver/surface.pyx | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index cddd981d274..20b01311bf3 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -44,6 +44,7 @@ from rmgpy.quantity import Quantity from rmgpy.quantity cimport ScalarQuantity from rmgpy.solver.base cimport ReactionSystem import copy +from rmgpy.molecule import Molecule cdef class SurfaceReactor(ReactionSystem): """ @@ -178,7 +179,6 @@ cdef class SurfaceReactor(ReactionSystem): cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index), len(self.species_index), 6), dtype=np.float64) cdef np.ndarray stoi_matrix = np.zeros((self.reactant_indices.shape[0], len(self.species_index)), dtype=np.float64) self.thermo_coeff_matrix = thermo_coeff_matrix - self.stoi_matrix = stoi_matrix #: 1 if it's on a surface, 0 if it's in the gas phase reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int) species_on_surface = np.zeros((self.num_core_species), int) @@ -212,13 +212,14 @@ cdef class SurfaceReactor(ReactionSystem): if sp.contains_surface_site(): if self.thermo_coverage_dependence and sp.thermo.thermo_coverage_dependence: for spec, parameters in sp.thermo.thermo_coverage_dependence.items(): - try: - species_index = self.species_index[spec] - thermo_polynomials = parameters['enthalpy-coefficients'] + parameters['entropy-coefficients'] - self.thermo_coeff_matrix[sp_index, species_index] = [x.value_si for x in thermo_polynomials] - except KeyError: - logging.warning("Species {} is not in the species list yet, skip the thermodynamic coverage effect estimation!".format(spec)) - + molecule = Molecule().from_adjacency_list(spec) + for species in self.species_index.keys(): + if species.is_isomorphic(molecule, strict=False): + species_index = self.species_index[species] + thermo_polynomials = parameters['enthalpy-coefficients'] + parameters['entropy-coefficients'] + self.thermo_coeff_matrix[sp_index, species_index] = [x.value_si for x in thermo_polynomials] + # create a stoichiometry matrix for reaction enthalpy and entropy correction + # due to thermodynamic coverage dependence if self.thermo_coverage_dependence: ir = self.reactant_indices ip = self.product_indices From 5c9f83aaf52076144a2326a7b24d192b7d8fb8ad Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 12:59:18 -0400 Subject: [PATCH 265/700] delete unused instances --- rmgpy/solver/surface.pyx | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 20b01311bf3..becdd844f46 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -74,7 +74,6 @@ cdef class SurfaceReactor(ReactionSystem): cdef public bint coverage_dependence cdef public dict coverage_dependencies cdef public bint thermo_coverage_dependence - cdef public dict thermo_coverage_dependencies @@ -118,7 +117,6 @@ cdef class SurfaceReactor(ReactionSystem): self.n_sims = n_sims self.coverage_dependencies = {} - self.thermo_coverage_dependencies = {} def convert_initial_keys_to_species_objects(self, species_dict): """ @@ -178,7 +176,8 @@ cdef class SurfaceReactor(ReactionSystem): cdef Py_ssize_t index cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index), len(self.species_index), 6), dtype=np.float64) cdef np.ndarray stoi_matrix = np.zeros((self.reactant_indices.shape[0], len(self.species_index)), dtype=np.float64) - self.thermo_coeff_matrix = thermo_coeff_matrix + if self.thermo_coverage_dependence: + self.thermo_coeff_matrix = thermo_coeff_matrix #: 1 if it's on a surface, 0 if it's in the gas phase reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int) species_on_surface = np.zeros((self.num_core_species), int) From cd59089911f87a232c0f08341fd7b0e29dd68a3a Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 13:00:30 -0400 Subject: [PATCH 266/700] Add solver unit test for thermodynamic coverage dependent models --- test/rmgpy/solver/solverSurfaceTest.py | 39 +++++++++++++++++++------- 1 file changed, 29 insertions(+), 10 deletions(-) diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index dc9ee25b3fa..42fb9c81404 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -765,7 +765,7 @@ def test_solve_ch3_coverage_dependence(self): def test_solve_h2_thermo_coverage_dependence(self): """ - Test the surface batch reactor can properly apply thermo coverage dependent parameters + Test the surface batch reactor can properly apply thermodynamic coverage dependent parameters with the dissociative adsorption of H2. Here we choose a kinetic model consisting of the dissociative adsorption reaction @@ -802,9 +802,9 @@ def test_solve_h2_thermo_coverage_dependence(self): Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"), H298=(-11.26, "kcal/mol"), S298=(0.44, "cal/(mol*K)"), + thermo_coverage_dependence={"1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}":{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} ), ) - hx.thermo.thermo_coverage_dependence = {hx:{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} rxn1 = Reaction( reactants=[h2, x, x], @@ -844,6 +844,7 @@ def test_solve_h2_thermo_coverage_dependence(self): surface_volume_ratio=(1e1, "m^-1"), surface_site_density=(2.72e-9, "mol/cm^2"), coverage_dependence=True, + thermo_coverage_dependence=True, termination=[], ) @@ -853,11 +854,15 @@ def test_solve_h2_thermo_coverage_dependence(self): assert isinstance(hx.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type for species, parameters in hx.thermo.thermo_coverage_dependence.items(): - assert isinstance(species, Species) # species should be a Species + assert isinstance(species, str) # species should be an ajacency list assert isinstance(parameters, dict) assert parameters["model"] is not None assert parameters["enthalpy-coefficients"] is not None assert parameters["entropy-coefficients"] is not None + assert np.array_equal(rxn_system.stoi_matrix, np.array([[-1., -2., 2.]])) + thermo_coeffs = np.array([np.zeros((3,6))]*3) + thermo_coeffs[-1][-1] = [1., 2., 3., 1., 5., 3.] + assert np.array_equal(rxn_system.thermo_coeff_matrix, thermo_coeffs) # Integrate to get the solution at each time point t = [] y = [] @@ -899,7 +904,7 @@ def test_solve_h2_thermo_coverage_dependence(self): def test_solve_ch3_thermo_coverage_dependence(self): """ - Test the surface batch reactor can properly apply coverage dependent parameters + Test the surface batch reactor can properly apply thermodynamic coverage dependent parameters with the nondissociative adsorption of CH3 Here we choose a kinetic model consisting of the adsorption reaction @@ -1002,10 +1007,11 @@ def test_solve_ch3_thermo_coverage_dependence(self): Tmin=(298, "K"), Tmax=(2000, "K"), E0=(-39.1285, "kJ/mol"), + thermo_coverage_dependence={"1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} \n 2 H u0 p0 c0 {1,S} \n 3 H u0 p0 c0 {1,S} \n 4 H u0 p0 c0 {1,S} \n 5 X u0 p0 c0 {1,S}": + {'model':'polynomial', 'enthalpy-coefficients':[1e5,2,3], "entropy-coefficients":[1,5,3]},}, comment="""Thermo library: surfaceThermoNi111""", ), ) - ch3x.thermo.thermo_coverage_dependence = {ch3x:{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} rxn1 = Reaction( reactants=[ch3, x], @@ -1017,7 +1023,6 @@ def test_solve_ch3_thermo_coverage_dependence(self): T0=(1, "K"), Tmin=(200, "K"), Tmax=(3000, "K"), - coverage_dependence={x: {"a": 0.0, "m": -1.0, "E": (0.0, "J/mol")}}, comment="""Exact match found for rate rule (Adsorbate;VacantSite)""", ), ) @@ -1036,7 +1041,7 @@ def test_solve_ch3_thermo_coverage_dependence(self): initial_surface_coverages={x: 1.0}, surface_volume_ratio=(1.0, "m^-1"), surface_site_density=(2.72e-9, "mol/cm^2"), - coverage_dependence=True, + thermo_coverage_dependence=True, termination=[], ) # in chemkin, the sites are mostly occupied in about 1e-8 seconds. @@ -1052,13 +1057,21 @@ def test_solve_ch3_thermo_coverage_dependence(self): rxn1.get_surface_rate_coefficient(rxn_system.T.value_si, rxn_system.surface_site_density.value_si), ) - assert isinstance(ch3.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type - for species, parameters in ch3.thermo.thermo_coverage_dependence.items(): - assert isinstance(species, Species) # species should be a Species + assert isinstance(ch3x.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type + for species, parameters in ch3x.thermo.thermo_coverage_dependence.items(): + assert isinstance(species, str) # species should be an ajacency list assert isinstance(parameters, dict) assert parameters["model"] is not None assert parameters["enthalpy-coefficients"] is not None assert parameters["entropy-coefficients"] is not None + + # check thermo_coverage_dependence is on + # and thermo_coeff_matrix and stoi_matrix are correctly created + assert rxn_system.thermo_coverage_dependence is True + assert np.array_equal(rxn_system.stoi_matrix, np.array([[-1, -1, 1]], dtype=float)) + thermo_coeff_matrix = np.array([np.zeros((3,6))]*3) + thermo_coeff_matrix[-1][-1] = [1e5, 2, 3, 1, 5, 3] + assert np.array_equal(rxn_system.thermo_coeff_matrix, thermo_coeff_matrix) # Integrate to get the solution at each time point t = [] @@ -1122,6 +1135,12 @@ def test_solve_ch3_thermo_coverage_dependence(self): ) rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions) + + # check thermo_coverage_dependence is off + # and thermo_coeff_matrix and stoi_matrix are not created + assert rxn_system.thermo_coverage_dependence is False + assert rxn_system.thermo_coeff_matrix is None + assert rxn_system.stoi_matrix is None tlist = np.logspace(-13, -5, 81, dtype=float) From e6fac7b813650930a7153238a92eeffd6bea560b Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 14:12:03 -0400 Subject: [PATCH 267/700] save thermo coverage dependent models as numpy arrays instead a list of rmg quantities --- rmgpy/thermo/nasa.pyx | 5 ++--- rmgpy/thermo/thermodata.pyx | 4 ++-- rmgpy/thermo/wilhoit.pyx | 4 ++-- 3 files changed, 6 insertions(+), 7 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 4014cdfc1be..d749f986cb9 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -34,7 +34,6 @@ cimport numpy as np from libc.math cimport log cimport rmgpy.constants as constants -import rmgpy.quantity as quantity ################################################################################ @@ -314,8 +313,8 @@ cdef class NASA(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index e38ae87b51b..9274e088f9a 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -128,8 +128,8 @@ cdef class ThermoData(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 15299666364..8801511491f 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -150,8 +150,8 @@ cdef class Wilhoit(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Dimensionless(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Dimensionless(p) for p in parameters['entropy-coefficients']], + 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters From 0360c5796f42541dabafba9e065d9025165735c3 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 17:47:05 -0400 Subject: [PATCH 268/700] create a subclass of numpy array overriding __repr__ method --- rmgpy/util.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/rmgpy/util.py b/rmgpy/util.py index 15769e02e61..365833379ea 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -33,6 +33,7 @@ import shutil import time from functools import wraps +import numpy as np class Subject(object): @@ -238,3 +239,13 @@ def as_list(item, default=None): return default else: return [item] + +class np_list(np.ndarray): + """ + A subclass of numpy.ndarray which rendered as a list when printed. + """ + def __new__(cls, input_array): + obj = np.asarray(input_array).view(cls) + return obj + def __repr__(self): + return str(self.tolist()) From 0c77c57170c9ce735d94ede440501e0778457ebd Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 17:52:59 -0400 Subject: [PATCH 269/700] create thermo coverage dep polynomial model in numpy array class with new __repr__ method --- rmgpy/thermo/nasa.pyx | 5 +++-- rmgpy/thermo/thermodata.pyx | 5 +++-- rmgpy/thermo/wilhoit.pyx | 8 +++++--- 3 files changed, 11 insertions(+), 7 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index d749f986cb9..e270400ae5b 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -34,6 +34,7 @@ cimport numpy as np from libc.math cimport log cimport rmgpy.constants as constants +from rmgpy.util import np_list ################################################################################ @@ -313,8 +314,8 @@ cdef class NASA(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 9274e088f9a..aed7d18f89a 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -35,6 +35,7 @@ cimport numpy as np from libc.math cimport log import rmgpy.quantity as quantity +from rmgpy.util import np_list ################################################################################ @@ -128,8 +129,8 @@ cdef class ThermoData(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 8801511491f..163b39e1876 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -35,6 +35,7 @@ from libc.math cimport sqrt, log cimport rmgpy.constants as constants import rmgpy.quantity as quantity +from rmgpy.util import np_list # Prior to numpy 1.14, `numpy.linalg.lstsq` does not accept None as a value RCOND = -1 if int(np.__version__.split('.')[1]) < 14 else None @@ -150,8 +151,8 @@ cdef class Wilhoit(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np.array([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np.array([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters @@ -213,7 +214,8 @@ cdef class Wilhoit(HeatCapacityModel): self.Cp0, self.CpInf, self.a0, self.a1, self.a2, self.a3, self.H0, self.S0, self.B, - Tmin=self.Tmin, Tmax=self.Tmax, comment=self.comment, + Tmin=self.Tmin, Tmax=self.Tmax, thermo_coverage_dependence=self.thermo_coverage_dependence, + comment=self.comment, ) @cython.boundscheck(False) From 4f09c50fbb3b817617ef5b101213a544c522e960 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 17:53:56 -0400 Subject: [PATCH 270/700] use adjacency list as the key of thermo cov dep models --- test/rmgpy/thermo/nasaTest.py | 9 ++++++--- test/rmgpy/thermo/thermodataTest.py | 2 +- test/rmgpy/thermo/wilhoitTest.py | 19 +++++++------------ 3 files changed, 14 insertions(+), 16 deletions(-) diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py index 8945bef5f42..f96df94cfe0 100644 --- a/test/rmgpy/thermo/nasaTest.py +++ b/test/rmgpy/thermo/nasaTest.py @@ -39,7 +39,6 @@ import rmgpy.constants as constants from rmgpy.quantity import ScalarQuantity from rmgpy.thermo.nasa import NASA, NASAPolynomial -from rmgpy.quantity import Dimensionless class TestNASA: @@ -70,7 +69,7 @@ def setup_class(self): self.Tmax = 3000.0 self.Tint = 650.73 self.E0 = -782292.0 # J/mol. - self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.comment = "C2H6" self.nasa = NASA( polynomials=[ @@ -377,7 +376,11 @@ def test_nasa_as_dict_full(self): assert nasa_dict["E0"]["value"] == self.E0 assert nasa_dict["Tmin"]["value"] == self.Tmin assert nasa_dict["Tmax"]["value"] == self.Tmax - assert repr(nasa_dict["thermo_coverage_dependence"]) == "{'OX': {'model': 'polynomial', 'enthalpy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, {'class': 'ScalarQuantity', 'value': 2.0}, {'class': 'ScalarQuantity', 'value': 3.0}], 'entropy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, {'class': 'ScalarQuantity', 'value': 2.0}, {'class': 'ScalarQuantity', 'value': 3.0}]}}" + assert nasa_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() + sp_name = list(self.thermo_coverage_dependence.keys())[0] + assert nasa_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] + assert nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + assert nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] assert nasa_dict["comment"] == self.comment assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low) assert tuple(nasa_dict["polynomials"]["polynomial2"]["coeffs"]["object"]) == tuple(self.coeffs_high) diff --git a/test/rmgpy/thermo/thermodataTest.py b/test/rmgpy/thermo/thermodataTest.py index cca336e1332..3c6b39e7e03 100644 --- a/test/rmgpy/thermo/thermodataTest.py +++ b/test/rmgpy/thermo/thermodataTest.py @@ -53,7 +53,7 @@ def setup_class(self): self.Tmin = 100.0 self.Tmax = 3000.0 self.E0 = -782292.0 - self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.comment = "C2H6" self.thermodata = ThermoData( Tdata=(self.Tdata, "K"), diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py index 15d76d34fa1..6a350d78336 100644 --- a/test/rmgpy/thermo/wilhoitTest.py +++ b/test/rmgpy/thermo/wilhoitTest.py @@ -58,7 +58,7 @@ def setup_class(self): self.Tmin = 300.0 self.Tmax = 3000.0 self.comment = "C2H6" - self.thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} self.wilhoit = Wilhoit( Cp0=(self.Cp0 * constants.R, "J/(mol*K)"), CpInf=(self.CpInf * constants.R, "J/(mol*K)"), @@ -458,16 +458,11 @@ def test_wilhoit_as_dict(self): "value": 178.76114800000002, }, "class": "Wilhoit", - 'thermo_coverage_dependence': {'OX': { - 'model': 'polynomial', - 'enthalpy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, - {'class': 'ScalarQuantity', 'value': 2.0}, - {'class': 'ScalarQuantity', 'value': 3.0} - ], - 'entropy-coefficients': [{'class': 'ScalarQuantity', 'value': 1.0}, - {'class': 'ScalarQuantity', 'value': 2.0}, - {'class': 'ScalarQuantity', 'value': 3.0} - ]}} + 'thermo_coverage_dependence': {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}': { + 'model': 'polynomial', + 'enthalpy-coefficients': {'class': 'np_array', 'object': [1, 2, 3]}, + 'entropy-coefficients': {'class': 'np_array', 'object': [1, 2, 3]}} + } } def test_make_wilhoit(self): @@ -476,6 +471,6 @@ def test_make_wilhoit(self): """ wilhoit_dict = self.wilhoit.as_dict() new_wilhoit = Wilhoit.__new__(Wilhoit) - class_dictionary = {"ScalarQuantity": ScalarQuantity, "Wilhoit": Wilhoit} + class_dictionary = {"ScalarQuantity": ScalarQuantity, "Wilhoit": Wilhoit, "np_array": np.array} new_wilhoit.make_object(wilhoit_dict, class_dictionary) From 31de2b18c29c206eda69201bab9243f6b923a50d Mon Sep 17 00:00:00 2001 From: 12Chao Date: Mon, 25 Mar 2024 18:01:32 -0400 Subject: [PATCH 271/700] adjust the method to read data from numpy arrays instead list --- rmgpy/solver/surface.pyx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index becdd844f46..1c602734063 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -215,8 +215,8 @@ cdef class SurfaceReactor(ReactionSystem): for species in self.species_index.keys(): if species.is_isomorphic(molecule, strict=False): species_index = self.species_index[species] - thermo_polynomials = parameters['enthalpy-coefficients'] + parameters['entropy-coefficients'] - self.thermo_coeff_matrix[sp_index, species_index] = [x.value_si for x in thermo_polynomials] + thermo_polynomials = np.concatenate((parameters['enthalpy-coefficients'], parameters['entropy-coefficients']), axis=0) + self.thermo_coeff_matrix[sp_index, species_index] = [x for x in thermo_polynomials] # create a stoichiometry matrix for reaction enthalpy and entropy correction # due to thermodynamic coverage dependence if self.thermo_coverage_dependence: From 43dea6bc027db0900776b995c756593db9d8e803 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Thu, 28 Mar 2024 14:16:08 -0400 Subject: [PATCH 272/700] Write thermo coverage dependent data to Cantera yaml file --- rmgpy/rmg/main.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 66a827e8890..a7a7ac63cf0 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -49,6 +49,7 @@ import yaml from cantera import ck2yaml from scipy.optimize import brute +import cantera as ct import rmgpy.util as util from rmgpy import settings @@ -1229,6 +1230,42 @@ def execute(self, initialize=True, **kwargs): os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), ) + if self.thermo_coverage_dependence: + # add thermo coverage dependence to Cantera files + chem_yaml_path = os.path.join(self.output_directory, "cantera", "chem.yaml") + gas = ct.Solution(chem_yaml_path, "gas") + surf = ct.Interface(chem_yaml_path, "surface1", [gas]) + with open(chem_yaml_path, 'r') as f: + content = yaml.load(f, Loader=yaml.FullLoader) + + content['phases'][1]['reference-state-coverage'] = 0.11 + content['phases'][1]['thermo'] = 'coverage-dependent-surface' + + for s in self.reaction_model.core.species: + if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: + for dep_sp, parameters in s.thermo.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(dep_sp) + for sp in self.reaction_model.core.species: + if sp.is_isomorphic(mol, strict=False): + try: + parameters['units'] = {'energy':'J', 'quantity':'mol'} + content["species"][surf.species_index(sp.label)]['coverage-dependencies'][sp.label] = parameters + except KeyError: + content["species"][surf.species_index(sp.label)]['coverage-dependencies'] = {sp.label: parameters} + + annotated_yaml_path = os.path.join(self.output_directory, "cantera", "chem_annotated.yaml") + with open(annotated_yaml_path, 'r') as f: + annotated_content = yaml.load(f, Loader=yaml.FullLoader) + + annotated_content['phases'] = content['phases'] + annotated_content['species'] = content['species'] + + with open(chem_yaml_path, 'w') as output_f: + yaml.dump(content, output_f, sort_keys=False) + + with open(annotated_yaml_path, 'w') as output_f: + yaml.dump(annotated_content, output_f, sort_keys=False) + else: # gas phase only self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem.inp")) self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")) From ed0474cdf5249324d2f9656c634a89eba9501e72 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Fri, 29 Mar 2024 14:29:47 -0400 Subject: [PATCH 273/700] Use chemkin strings instead of labels when writing to yaml files --- rmgpy/rmg/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index a7a7ac63cf0..542d015cdfe 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1249,9 +1249,9 @@ def execute(self, initialize=True, **kwargs): if sp.is_isomorphic(mol, strict=False): try: parameters['units'] = {'energy':'J', 'quantity':'mol'} - content["species"][surf.species_index(sp.label)]['coverage-dependencies'][sp.label] = parameters + content["species"][surf.species_index(sp.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters except KeyError: - content["species"][surf.species_index(sp.label)]['coverage-dependencies'] = {sp.label: parameters} + content["species"][surf.species_index(sp.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} annotated_yaml_path = os.path.join(self.output_directory, "cantera", "chem_annotated.yaml") with open(annotated_yaml_path, 'r') as f: From 51e3821185a1616821d4a1d3f3d40cbb579f34d6 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Fri, 29 Mar 2024 21:06:43 -0400 Subject: [PATCH 274/700] Write the thermo coverage dependent data to yaml files in right format --- rmgpy/rmg/main.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 542d015cdfe..e1826b95da9 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1247,11 +1247,13 @@ def execute(self, initialize=True, **kwargs): mol = Molecule().from_adjacency_list(dep_sp) for sp in self.reaction_model.core.species: if sp.is_isomorphic(mol, strict=False): + parameters['units'] = {'energy':'J', 'quantity':'mol'} + parameters['enthalpy-coefficients'] = [float(value) for value in parameters['enthalpy-coefficients']] + parameters['entropy-coefficients'] = [float(value) for value in parameters['entropy-coefficients']] try: - parameters['units'] = {'energy':'J', 'quantity':'mol'} - content["species"][surf.species_index(sp.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters + content["species"][gas.n_species+surf.species_index(sp.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters except KeyError: - content["species"][surf.species_index(sp.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} + content["species"][gas.n_species+surf.species_index(sp.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} annotated_yaml_path = os.path.join(self.output_directory, "cantera", "chem_annotated.yaml") with open(annotated_yaml_path, 'r') as f: From 79098edcd1a6fc90707242bdd5a29140ad036079 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Tue, 2 Apr 2024 12:50:51 -0400 Subject: [PATCH 275/700] Add thermo_coverag_dependence as an instance for class RMG --- rmgpy/rmg/main.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index e1826b95da9..c85224f1309 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -194,6 +194,7 @@ def clear(self): self.surface_site_density = None self.binding_energies = None self.coverage_dependence = False + self.thermo_coverage_dependence = False self.forbidden_structures = [] self.reaction_model = None @@ -511,7 +512,7 @@ def initialize(self, **kwargs): # Read input file self.load_input(self.input_file) - + # Check if ReactionMechanismSimulator reactors are being used # if RMS is not installed but the user attempted to use it, the load_input_file would have failed # if RMS is not installed and they did not use it, we avoid calling certain functions that would raise an error @@ -769,7 +770,7 @@ def register_listeners(self, requires_rms=False): """ self.attach(ChemkinWriter(self.output_directory)) - + self.attach(RMSWriter(self.output_directory)) if self.generate_output_html: From fae856c30e713fc34f6db7b37dbd276a68b225fc Mon Sep 17 00:00:00 2001 From: 12Chao Date: Wed, 17 Jul 2024 20:40:46 -0400 Subject: [PATCH 276/700] fix the bug that the coverage kinetics cannot be written to chemkin --- rmgpy/chemkin.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 1988419057d..8b263fd0186 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1867,7 +1867,7 @@ def write_kinetics_entry(reaction, species_list, verbose=True, java_library=Fals for species, cov_params in kinetics.coverage_dependence.items(): label = get_species_identifier(species) string += f' COV / {label:<41} ' - string += f"{cov_params['a']:<9.3g} {cov_params['m']:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" + string += f"{cov_params['a'].value_si:<9.3g} {cov_params['m'].value_si:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" if isinstance(kinetics, (_kinetics.ThirdBody, _kinetics.Lindemann, _kinetics.Troe)): # Write collider efficiencies From b35ee5b8b7f5d3bc937f851538d356c21fbc4018 Mon Sep 17 00:00:00 2001 From: 12Chao Date: Sat, 19 Oct 2024 10:18:17 -0400 Subject: [PATCH 277/700] write data as RMG object instead of floats to keep the units consistent --- rmgpy/rmg/main.py | 4 ++-- rmgpy/solver/surface.pyx | 4 +++- rmgpy/thermo/nasa.pyx | 5 +++-- rmgpy/thermo/thermodata.pyx | 4 ++-- rmgpy/thermo/wilhoit.pyx | 4 ++-- test/rmgpy/thermo/nasaTest.py | 15 ++++++++------- 6 files changed, 20 insertions(+), 16 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index c85224f1309..68940fbc292 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1249,8 +1249,8 @@ def execute(self, initialize=True, **kwargs): for sp in self.reaction_model.core.species: if sp.is_isomorphic(mol, strict=False): parameters['units'] = {'energy':'J', 'quantity':'mol'} - parameters['enthalpy-coefficients'] = [float(value) for value in parameters['enthalpy-coefficients']] - parameters['entropy-coefficients'] = [float(value) for value in parameters['entropy-coefficients']] + parameters['enthalpy-coefficients'] = [value.value_si for value in parameters['enthalpy-coefficients']] + parameters['entropy-coefficients'] = [value.value_si for value in parameters['entropy-coefficients']] try: content["species"][gas.n_species+surf.species_index(sp.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters except KeyError: diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 1c602734063..2fad5164f16 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -215,7 +215,9 @@ cdef class SurfaceReactor(ReactionSystem): for species in self.species_index.keys(): if species.is_isomorphic(molecule, strict=False): species_index = self.species_index[species] - thermo_polynomials = np.concatenate((parameters['enthalpy-coefficients'], parameters['entropy-coefficients']), axis=0) + enthalpy_coeff = np.array([p.value_si for p in parameters['enthalpy-coefficients']]) + entropy_coeff = np.array([p.value_si for p in parameters['entropy-coefficients']]) + thermo_polynomials = np.concatenate((enthalpy_coeff, entropy_coeff), axis=0) self.thermo_coeff_matrix[sp_index, species_index] = [x for x in thermo_polynomials] # create a stoichiometry matrix for reaction enthalpy and entropy correction # due to thermodynamic coverage dependence diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index e270400ae5b..0b04438654a 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -35,6 +35,7 @@ from libc.math cimport log cimport rmgpy.constants as constants from rmgpy.util import np_list +import rmgpy.quantity as quantity ################################################################################ @@ -314,8 +315,8 @@ cdef class NASA(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index aed7d18f89a..6797fa99e4d 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -129,8 +129,8 @@ cdef class ThermoData(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 163b39e1876..3342f64c48f 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -151,8 +151,8 @@ cdef class Wilhoit(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([p for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([p for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), + 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py index f96df94cfe0..23255082f9a 100644 --- a/test/rmgpy/thermo/nasaTest.py +++ b/test/rmgpy/thermo/nasaTest.py @@ -31,8 +31,7 @@ This script contains unit tests of the :mod:`rmgpy.thermo.nasa` module. """ -import os.path - +import os.path, ast import numpy as np @@ -69,7 +68,7 @@ def setup_class(self): self.Tmax = 3000.0 self.Tint = 650.73 self.E0 = -782292.0 # J/mol. - self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}} self.comment = "C2H6" self.nasa = NASA( polynomials=[ @@ -143,7 +142,7 @@ def test_thermo_coverage_dependence(self): """ Test that the thermo_coverage_dependence property was properly set. """ - assert repr(self.nasa.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence) + assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(self.thermo_coverage_dependence)) def test_is_temperature_valid(self): """ @@ -271,7 +270,7 @@ def test_pickle(self): assert self.nasa.Tmax.units == nasa.Tmax.units assert self.nasa.E0.value == nasa.E0.value assert self.nasa.E0.units == nasa.E0.units - assert repr(self.nasa.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) + assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(nasa.thermo_coverage_dependence)) assert self.nasa.comment == nasa.comment def test_repr(self): @@ -305,7 +304,7 @@ def test_repr(self): assert self.nasa.Tmax.units == nasa.Tmax.units assert self.nasa.E0.value == nasa.E0.value assert self.nasa.E0.units == nasa.E0.units - assert repr(self.nasa.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence) + assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(nasa.thermo_coverage_dependence)) assert self.nasa.comment == nasa.comment def test_to_cantera(self): @@ -379,7 +378,9 @@ def test_nasa_as_dict_full(self): assert nasa_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() sp_name = list(self.thermo_coverage_dependence.keys())[0] assert nasa_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] - assert nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] + # return [(str(coeff.value), str(coeff.units))for coeff in enthalpy_list], self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + assert [(int(coeff.value), str(coeff.units))for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] assert nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] assert nasa_dict["comment"] == self.comment assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low) From 2ac9c17c95ca529fa20c26260e5e180ce4838578 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Fri, 10 Oct 2025 13:26:08 -0400 Subject: [PATCH 278/700] add thermo_coverage_dependence to initialize --- rmgpy/rmg/main.py | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 68940fbc292..98a027fff12 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -525,6 +525,7 @@ def initialize(self, **kwargs): self.reaction_model.core.phase_system.phases["Surface"].site_density = self.surface_site_density.value_si self.reaction_model.edge.phase_system.phases["Surface"].site_density = self.surface_site_density.value_si self.reaction_model.coverage_dependence = self.coverage_dependence + self.reaction_model.thermo_coverage_dependence = self.thermo_coverage_dependence if kwargs.get("restart", ""): import rmgpy.rmg.input From a579b3ab6ec2108eedb00d5c0eb7d5761337bb1d Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 13 Oct 2025 14:58:34 -0400 Subject: [PATCH 279/700] fix type in wilhoit.pyx --- rmgpy/thermo/wilhoit.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 3342f64c48f..bcbf16d4abb 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -59,7 +59,7 @@ cdef class Wilhoit(HeatCapacityModel): `B` The Wilhoit scaled temperature coefficient in K `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined - `thermo_covreage_dependence` The coverage dependence of the thermo + `thermo_coverage_dependence` The coverage dependence of the thermo `comment` Information about the model (e.g. its source) ============================= ========================================================================================= """ From b504d9ecbee229776d1c426335583d639ee3d487 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 13 Oct 2025 17:22:54 -0400 Subject: [PATCH 280/700] fix coefficients check in nasaTest.py --- test/rmgpy/thermo/nasaTest.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py index 23255082f9a..138ea59d3f7 100644 --- a/test/rmgpy/thermo/nasaTest.py +++ b/test/rmgpy/thermo/nasaTest.py @@ -378,10 +378,10 @@ def test_nasa_as_dict_full(self): assert nasa_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() sp_name = list(self.thermo_coverage_dependence.keys())[0] assert nasa_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] - enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] - # return [(str(coeff.value), str(coeff.units))for coeff in enthalpy_list], self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] - assert [(int(coeff.value), str(coeff.units))for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] - assert nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] + enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] + assert [(int(coeff.value), str(coeff.units)) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + entropy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] + assert [(int(coeff.value), str(coeff.units)) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] assert nasa_dict["comment"] == self.comment assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low) assert tuple(nasa_dict["polynomials"]["polynomial2"]["coeffs"]["object"]) == tuple(self.coeffs_high) From 91fbefb8f883931a9cc95e19ecfc3d5d8ef464ce Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 13 Oct 2025 20:57:29 -0400 Subject: [PATCH 281/700] fix test_thermo_coverage_dependence --- test/rmgpy/thermo/wilhoitTest.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py index 6a350d78336..b3166796025 100644 --- a/test/rmgpy/thermo/wilhoitTest.py +++ b/test/rmgpy/thermo/wilhoitTest.py @@ -39,7 +39,7 @@ import rmgpy.constants as constants from rmgpy.quantity import ScalarQuantity from rmgpy.thermo.wilhoit import Wilhoit - +import rmgpy.quantity as quantity class TestWilhoit: """ @@ -58,7 +58,7 @@ def setup_class(self): self.Tmin = 300.0 self.Tmax = 3000.0 self.comment = "C2H6" - self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[quantity.Enthalpy(1,'J/mol'),quantity.Enthalpy(2,'J/mol'),quantity.Enthalpy(3,'J/mol')], "entropy-coefficients":[quantity.Entropy(1,'J/(mol*K)'),quantity.Entropy(2,'J/(mol*K)'),quantity.Entropy(3,'J/(mol*K)')]}} self.wilhoit = Wilhoit( Cp0=(self.Cp0 * constants.R, "J/(mol*K)"), CpInf=(self.CpInf * constants.R, "J/(mol*K)"), @@ -460,8 +460,8 @@ def test_wilhoit_as_dict(self): "class": "Wilhoit", 'thermo_coverage_dependence': {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}': { 'model': 'polynomial', - 'enthalpy-coefficients': {'class': 'np_array', 'object': [1, 2, 3]}, - 'entropy-coefficients': {'class': 'np_array', 'object': [1, 2, 3]}} + 'enthalpy-coefficients': {'class': 'np_array', 'object': [(1,'J/mol'), (2,'J/mol'), (3,'J/mol')]}, + 'entropy-coefficients': {'class': 'np_array', 'object': [(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}} } } From e5ecc8d4c28d1a253e61e01fd8bcc3f665729622 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 13 Oct 2025 20:59:25 -0400 Subject: [PATCH 282/700] fix thermodataTest.py --- test/rmgpy/thermo/thermodataTest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/thermo/thermodataTest.py b/test/rmgpy/thermo/thermodataTest.py index 3c6b39e7e03..3a0abed4b92 100644 --- a/test/rmgpy/thermo/thermodataTest.py +++ b/test/rmgpy/thermo/thermodataTest.py @@ -36,7 +36,7 @@ import rmgpy.constants as constants from rmgpy.thermo.thermodata import ThermoData - +import rmgpy.quantity as quantity class TestThermoData: """ @@ -53,7 +53,7 @@ def setup_class(self): self.Tmin = 100.0 self.Tmax = 3000.0 self.E0 = -782292.0 - self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[quantity.Enthalpy(1,'J/mol'),quantity.Enthalpy(2,'J/mol'),quantity.Enthalpy(3,'J/mol')], "entropy-coefficients":[quantity.Entropy(1,'J/(mol*K)'),quantity.Entropy(2,'J/(mol*K)'),quantity.Entropy(3,'J/(mol*K)')]}} self.comment = "C2H6" self.thermodata = ThermoData( Tdata=(self.Tdata, "K"), From a413a2854aef9b6454be78e2b8c6f5a8ea361675 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 13 Oct 2025 21:14:42 -0400 Subject: [PATCH 283/700] fix convertTest.py --- test/rmgpy/thermo/convertTest.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/test/rmgpy/thermo/convertTest.py b/test/rmgpy/thermo/convertTest.py index ef2f7265e31..a60e0ddf606 100644 --- a/test/rmgpy/thermo/convertTest.py +++ b/test/rmgpy/thermo/convertTest.py @@ -38,7 +38,6 @@ import rmgpy.constants as constants from rmgpy.thermo import Wilhoit, NASA, NASAPolynomial, ThermoData - class TestConverter: """ Contains unit tests of the thermodynamics model conversion functions. @@ -57,7 +56,7 @@ def setup_class(self): S0=(-118.46 * constants.R, "J/(mol*K)"), Tmin=(10, "K"), Tmax=(3000, "K"), - thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}, comment="C2H6", ) self.nasa = NASA( @@ -94,7 +93,7 @@ def setup_class(self): E0=(-93.6077, "kJ/mol"), Cp0=(4.0 * constants.R, "J/(mol*K)"), CpInf=(21.5 * constants.R, "J/(mol*K)"), - thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}, comment="C2H6", ) self.thermodata = ThermoData( @@ -110,7 +109,7 @@ def setup_class(self): Tmin=(10, "K"), Tmax=(3000, "K"), E0=(-93.6077, "kJ/mol"), - thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,2,3]}}, + thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}, comment="C2H6", ) From 6964658a0fae200a44383b82ef284a50473feb6b Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 14 Oct 2025 10:08:37 -0400 Subject: [PATCH 284/700] fix wilhoit test_thermo_coverage_dependence and test_wilhoit_as_dict --- test/rmgpy/thermo/wilhoitTest.py | 26 ++++++++++++++++++-------- 1 file changed, 18 insertions(+), 8 deletions(-) diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py index b3166796025..92fe4737480 100644 --- a/test/rmgpy/thermo/wilhoitTest.py +++ b/test/rmgpy/thermo/wilhoitTest.py @@ -31,7 +31,7 @@ This script contains unit tests of the :mod:`rmgpy.thermo.wilhoit` module. """ -import os.path +import os.path, ast import numpy as np @@ -58,7 +58,7 @@ def setup_class(self): self.Tmin = 300.0 self.Tmax = 3000.0 self.comment = "C2H6" - self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[quantity.Enthalpy(1,'J/mol'),quantity.Enthalpy(2,'J/mol'),quantity.Enthalpy(3,'J/mol')], "entropy-coefficients":[quantity.Entropy(1,'J/(mol*K)'),quantity.Entropy(2,'J/(mol*K)'),quantity.Entropy(3,'J/(mol*K)')]}} + self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}} self.wilhoit = Wilhoit( Cp0=(self.Cp0 * constants.R, "J/(mol*K)"), CpInf=(self.CpInf * constants.R, "J/(mol*K)"), @@ -165,7 +165,7 @@ def test_thermo_coverage_dependence(self): """ Test that the Wilhoit thermo_coverage_dependence property was properly set. """ - assert repr(self.wilhoit.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence) + assert ast.literal_eval(repr(self.wilhoit.thermo_coverage_dependence)) == ast.literal_eval(repr(self.thermo_coverage_dependence)) def test_is_temperature_valid(self): """ @@ -428,6 +428,16 @@ def test_wilhoit_as_dict(self): Test that a Wilhoit object can be converted to a dictionary representation properly """ wilhoit_dict = self.wilhoit.as_dict() + + assert wilhoit_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() + sp_name = list(self.thermo_coverage_dependence.keys())[0] + assert wilhoit_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] + enthalpy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] + assert [(int(coeff.value), str(coeff.units)) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + entropy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] + assert [(int(coeff.value), str(coeff.units)) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] + + wilhoit_dict = {k: wilhoit_dict[k] for k in wilhoit_dict.keys() - {'thermo_coverage_dependence'}} assert wilhoit_dict == { "comment": "C2H6", "B": {"units": "K", "class": "ScalarQuantity", "value": 1068.68}, @@ -458,11 +468,11 @@ def test_wilhoit_as_dict(self): "value": 178.76114800000002, }, "class": "Wilhoit", - 'thermo_coverage_dependence': {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}': { - 'model': 'polynomial', - 'enthalpy-coefficients': {'class': 'np_array', 'object': [(1,'J/mol'), (2,'J/mol'), (3,'J/mol')]}, - 'entropy-coefficients': {'class': 'np_array', 'object': [(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}} - } + # 'thermo_coverage_dependence': {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}': { + # 'model': 'polynomial', + # 'enthalpy-coefficients': {'class': 'np_array', 'object': [(1,'J/mol'), (2,'J/mol'), (3,'J/mol')]}, + # 'entropy-coefficients': {'class': 'np_array', 'object': [(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}} + # } } def test_make_wilhoit(self): From b9e8f129f26fbc98dc86afbddf73322379622ad1 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 14 Oct 2025 10:14:39 -0400 Subject: [PATCH 285/700] fix solverSurfaceTest.py by adding units --- test/rmgpy/solver/solverSurfaceTest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index 42fb9c81404..d4af80264f4 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -802,7 +802,7 @@ def test_solve_h2_thermo_coverage_dependence(self): Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"), H298=(-11.26, "kcal/mol"), S298=(0.44, "cal/(mol*K)"), - thermo_coverage_dependence={"1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}":{'model':'polynomial', 'enthalpy-coefficients':[1,2,3], "entropy-coefficients":[1,5,3]},} + thermo_coverage_dependence={"1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}":{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(5,'J/(mol*K)'),(3,'J/(mol*K)')]},} ), ) @@ -1008,7 +1008,7 @@ def test_solve_ch3_thermo_coverage_dependence(self): Tmax=(2000, "K"), E0=(-39.1285, "kJ/mol"), thermo_coverage_dependence={"1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} \n 2 H u0 p0 c0 {1,S} \n 3 H u0 p0 c0 {1,S} \n 4 H u0 p0 c0 {1,S} \n 5 X u0 p0 c0 {1,S}": - {'model':'polynomial', 'enthalpy-coefficients':[1e5,2,3], "entropy-coefficients":[1,5,3]},}, + {'model':'polynomial', 'enthalpy-coefficients':[(1e5,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(5,'J/(mol*K)'),(3,'J/(mol*K)')]},}, comment="""Thermo library: surfaceThermoNi111""", ), ) From a6c1de969bc14cec45640eb2b22c944aec1a6701 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 14 Oct 2025 14:28:45 -0400 Subject: [PATCH 286/700] calculate rxns_free_energy_change via np.matmul --- rmgpy/solver/surface.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 2fad5164f16..a34a8645c2f 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -489,7 +489,7 @@ cdef class SurfaceReactor(ReactionSystem): for matrix in self.thermo_coeff_matrix: sp_free_energy_correction = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() free_energy_coverage_corrections.append(sp_free_energy_correction) - rxns_free_energy_change = np.diag(np.dot(self.stoi_matrix, np.transpose(np.array([free_energy_coverage_corrections])))) + rxns_free_energy_change = np.matmul(self.stoi_matrix,free_energy_coverage_corrections) corrected_K_eq = copy.deepcopy(self.Keq) corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) kr = kf / corrected_K_eq From fa1196e4b91c5354d3dece9ec562a8049fde85d7 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 14 Oct 2025 14:29:49 -0400 Subject: [PATCH 287/700] remove Chaos bugfix that the coverage kinetics cannot be written to chemkin --- rmgpy/chemkin.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 8b263fd0186..1988419057d 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1867,7 +1867,7 @@ def write_kinetics_entry(reaction, species_list, verbose=True, java_library=Fals for species, cov_params in kinetics.coverage_dependence.items(): label = get_species_identifier(species) string += f' COV / {label:<41} ' - string += f"{cov_params['a'].value_si:<9.3g} {cov_params['m'].value_si:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" + string += f"{cov_params['a']:<9.3g} {cov_params['m']:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" if isinstance(kinetics, (_kinetics.ThirdBody, _kinetics.Lindemann, _kinetics.Troe)): # Write collider efficiencies From 261230f582940d2cd1c65ad52b0b0ee0b66f9f7a Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 6 Apr 2026 12:12:50 -0400 Subject: [PATCH 288/700] remove cantera dependence --- rmgpy/rmg/main.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 98a027fff12..ddef94eb033 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -49,7 +49,6 @@ import yaml from cantera import ck2yaml from scipy.optimize import brute -import cantera as ct import rmgpy.util as util from rmgpy import settings @@ -1235,14 +1234,13 @@ def execute(self, initialize=True, **kwargs): if self.thermo_coverage_dependence: # add thermo coverage dependence to Cantera files chem_yaml_path = os.path.join(self.output_directory, "cantera", "chem.yaml") - gas = ct.Solution(chem_yaml_path, "gas") - surf = ct.Interface(chem_yaml_path, "surface1", [gas]) with open(chem_yaml_path, 'r') as f: content = yaml.load(f, Loader=yaml.FullLoader) content['phases'][1]['reference-state-coverage'] = 0.11 content['phases'][1]['thermo'] = 'coverage-dependent-surface' - + cantera_names = [content["species"][i]['name'] for i in range(len(content["species"]))] + for s in self.reaction_model.core.species: if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: for dep_sp, parameters in s.thermo.thermo_coverage_dependence.items(): @@ -1253,9 +1251,9 @@ def execute(self, initialize=True, **kwargs): parameters['enthalpy-coefficients'] = [value.value_si for value in parameters['enthalpy-coefficients']] parameters['entropy-coefficients'] = [value.value_si for value in parameters['entropy-coefficients']] try: - content["species"][gas.n_species+surf.species_index(sp.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters + content["species"][cantera_names.index(s.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters except KeyError: - content["species"][gas.n_species+surf.species_index(sp.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} + content["species"][cantera_names.index(s.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} annotated_yaml_path = os.path.join(self.output_directory, "cantera", "chem_annotated.yaml") with open(annotated_yaml_path, 'r') as f: From 634aa035ce12ca5d17f98d82b144c2d6221aa3b1 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 6 Apr 2026 15:17:45 -0400 Subject: [PATCH 289/700] remove np_list function --- rmgpy/thermo/nasa.pyx | 5 ++--- rmgpy/thermo/thermodata.pyx | 5 ++--- rmgpy/thermo/wilhoit.pyx | 5 ++--- rmgpy/util.py | 11 ----------- 4 files changed, 6 insertions(+), 20 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 0b04438654a..8a1df5fe9c5 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -34,7 +34,6 @@ cimport numpy as np from libc.math cimport log cimport rmgpy.constants as constants -from rmgpy.util import np_list import rmgpy.quantity as quantity ################################################################################ @@ -315,8 +314,8 @@ cdef class NASA(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 6797fa99e4d..61698cc174f 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -35,7 +35,6 @@ cimport numpy as np from libc.math cimport log import rmgpy.quantity as quantity -from rmgpy.util import np_list ################################################################################ @@ -129,8 +128,8 @@ cdef class ThermoData(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index bcbf16d4abb..4ba3980b542 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -35,7 +35,6 @@ from libc.math cimport sqrt, log cimport rmgpy.constants as constants import rmgpy.quantity as quantity -from rmgpy.util import np_list # Prior to numpy 1.14, `numpy.linalg.lstsq` does not accept None as a value RCOND = -1 if int(np.__version__.split('.')[1]) < 14 else None @@ -151,8 +150,8 @@ cdef class Wilhoit(HeatCapacityModel): for species, parameters in value.items(): # just the polynomial model for now processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': np_list([quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']]), - 'entropy-coefficients': np_list([quantity.Entropy(p) for p in parameters['entropy-coefficients']]), + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], } self._thermo_coverage_dependence[species] = processed_parameters diff --git a/rmgpy/util.py b/rmgpy/util.py index 365833379ea..15769e02e61 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -33,7 +33,6 @@ import shutil import time from functools import wraps -import numpy as np class Subject(object): @@ -239,13 +238,3 @@ def as_list(item, default=None): return default else: return [item] - -class np_list(np.ndarray): - """ - A subclass of numpy.ndarray which rendered as a list when printed. - """ - def __new__(cls, input_array): - obj = np.asarray(input_array).view(cls) - return obj - def __repr__(self): - return str(self.tolist()) From c15694c9046b6d08b78c82850ad7eec849f58be2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 11:02:31 -0400 Subject: [PATCH 290/700] Optimization: avoiding exponentials and stacks. --- rmgpy/solver/surface.pyx | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index a34a8645c2f..345138c72b2 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -483,8 +483,16 @@ cdef class SurfaceReactor(ReactionSystem): else: surface_site_fraction = 0 coverages.append(surface_site_fraction) - coverages = np.array(coverages) - thermo_dep_coverage = np.stack([coverages, coverages**2, coverages**3, -self.T.value_si*coverages, -self.T.value_si*coverages**2, -self.T.value_si*coverages**3]) + coverages = np.array(coverages, dtype=np.float64) + coverages_squared = coverages * coverages + temperature_scaled_coverages = -self.T.value_si * coverages + thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) + thermo_dep_coverage[0, :] = coverages + thermo_dep_coverage[1, :] = coverages_squared + thermo_dep_coverage[2, :] = coverages_squared * coverages + thermo_dep_coverage[3, :] = temperature_scaled_coverages + thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages + thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared free_energy_coverage_corrections = [] for matrix in self.thermo_coeff_matrix: sp_free_energy_correction = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() From e185c4e7a7b7ca3ba563c8fd4d96bae43d071572 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 11:05:38 -0400 Subject: [PATCH 291/700] optimization: removing loops, and making cython declarations --- rmgpy/solver/surface.pyx | 20 ++++++++------------ 1 file changed, 8 insertions(+), 12 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 345138c72b2..e19cd3bbb4a 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -433,6 +433,10 @@ cdef class SurfaceReactor(ReactionSystem): cdef np.ndarray[np.float64_t, ndim=2] jacobian, dgdk cdef list list_of_coverage_deps cdef double surface_site_fraction, total_sites, a, m, E + cdef np.ndarray[np.float64_t, ndim=1] coverages, coverages_squared, temperature_scaled_coverages + cdef np.ndarray[np.float64_t, ndim=2] thermo_dep_coverage + cdef np.ndarray[np.float64_t, ndim=1] free_energy_coverage_corrections, rxns_free_energy_change, corrected_K_eq + cdef double sp_free_energy_correction ir = self.reactant_indices ip = self.product_indices equilibrium_constants = self.Keq @@ -476,14 +480,7 @@ cdef class SurfaceReactor(ReactionSystem): # Thermodynamic coverage dependence if self.thermo_coverage_dependence: - coverages = [] - for i in range(len(N)): - if species_on_surface[i]: - surface_site_fraction = N[i] / total_sites - else: - surface_site_fraction = 0 - coverages.append(surface_site_fraction) - coverages = np.array(coverages, dtype=np.float64) + coverages = np.where(species_on_surface, N / total_sites, 0.0) coverages_squared = coverages * coverages temperature_scaled_coverages = -self.T.value_si * coverages thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) @@ -493,10 +490,9 @@ cdef class SurfaceReactor(ReactionSystem): thermo_dep_coverage[3, :] = temperature_scaled_coverages thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared - free_energy_coverage_corrections = [] - for matrix in self.thermo_coeff_matrix: - sp_free_energy_correction = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() - free_energy_coverage_corrections.append(sp_free_energy_correction) + free_energy_coverage_corrections = np.empty(len(self.thermo_coeff_matrix), dtype=np.float64) + for i, matrix in enumerate(self.thermo_coeff_matrix): + free_energy_coverage_corrections[i] = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() rxns_free_energy_change = np.matmul(self.stoi_matrix,free_energy_coverage_corrections) corrected_K_eq = copy.deepcopy(self.Keq) corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) From 1386801e50dd98c11b25c76a5f63efd6958f6d7a Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 11:07:37 -0400 Subject: [PATCH 292/700] Don't save empty dictionary when thermo coverage is None Previously the as_dict and the __repr__ would both return thermo_coverage_dependence={} for absolutely everything. Now if it starts as None, it stays None. --- rmgpy/thermo/nasa.pyx | 18 ++++++++++-------- rmgpy/thermo/thermodata.pyx | 16 +++++++++------- rmgpy/thermo/wilhoit.pyx | 16 +++++++++------- 3 files changed, 28 insertions(+), 22 deletions(-) diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 8a1df5fe9c5..0ee505e4167 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -309,16 +309,18 @@ cdef class NASA(HeatCapacityModel): def __get__(self): return self._thermo_coverage_dependence def __set__(self, value): - self._thermo_coverage_dependence = {} if value: - for species, parameters in value.items(): + self._thermo_coverage_dependence = {} + for species, parameters in value.items(): # just the polynomial model for now - processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], - } - self._thermo_coverage_dependence[species] = processed_parameters - + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], + } + self._thermo_coverage_dependence[species] = processed_parameters + else: + self._thermo_coverage_dependence = None + cpdef double get_heat_capacity(self, double T) except -1000000000: """ Return the constant-pressure heat capacity diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 61698cc174f..0b2afb3a69d 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -123,15 +123,17 @@ cdef class ThermoData(HeatCapacityModel): def __get__(self): return self._thermo_coverage_dependence def __set__(self, value): - self._thermo_coverage_dependence = {} if value: - for species, parameters in value.items(): + self._thermo_coverage_dependence = {} + for species, parameters in value.items(): # just the polynomial model for now - processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], - } - self._thermo_coverage_dependence[species] = processed_parameters + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], + } + self._thermo_coverage_dependence[species] = processed_parameters + else: + self._thermo_coverage_dependence = None @cython.boundscheck(False) @cython.wraparound(False) diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index 4ba3980b542..e4666a8ecfb 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -145,15 +145,17 @@ cdef class Wilhoit(HeatCapacityModel): def __get__(self): return self._thermo_coverage_dependence def __set__(self, value): - self._thermo_coverage_dependence = {} if value: - for species, parameters in value.items(): + self._thermo_coverage_dependence = {} + for species, parameters in value.items(): # just the polynomial model for now - processed_parameters = {'model': parameters['model'], - 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], - } - self._thermo_coverage_dependence[species] = processed_parameters + processed_parameters = {'model': parameters['model'], + 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']], + } + self._thermo_coverage_dependence[species] = processed_parameters + else: + self._thermo_coverage_dependence = None cpdef double get_heat_capacity(self, double T) except -1000000000: """ From 84b17499bb33b0eae7ea5ccde3629ea92b7d9fae Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 11:08:27 -0400 Subject: [PATCH 293/700] Small optimization and simplification. --- rmgpy/rmg/main.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index ddef94eb033..e38218a6ce5 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1239,7 +1239,7 @@ def execute(self, initialize=True, **kwargs): content['phases'][1]['reference-state-coverage'] = 0.11 content['phases'][1]['thermo'] = 'coverage-dependent-surface' - cantera_names = [content["species"][i]['name'] for i in range(len(content["species"]))] + cantera_names = [s['name'] for s in content["species"]] for s in self.reaction_model.core.species: if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: From ea374fa9acf3e8bac17e52870e9ba7f675f87d9d Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 12:22:29 -0400 Subject: [PATCH 294/700] update tests for coverage-dependence data as_dict The on-disk/YAML format for enthalpy-coefficients/entropy-coefficients changed: Old: {'class': 'np_array', 'object': [, ...]} New: [{'class': 'ScalarQuantity', 'value': ..., 'units': '...'}, ...] --- test/rmgpy/thermo/nasaTest.py | 9 +++++---- test/rmgpy/thermo/wilhoitTest.py | 8 ++++---- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py index 138ea59d3f7..e7e59de601b 100644 --- a/test/rmgpy/thermo/nasaTest.py +++ b/test/rmgpy/thermo/nasaTest.py @@ -378,10 +378,10 @@ def test_nasa_as_dict_full(self): assert nasa_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() sp_name = list(self.thermo_coverage_dependence.keys())[0] assert nasa_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] - enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] - assert [(int(coeff.value), str(coeff.units)) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] - entropy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] - assert [(int(coeff.value), str(coeff.units)) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] + enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients'] + assert [(int(coeff['value']), str(coeff['units'])) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + entropy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients'] + assert [(int(coeff['value']), str(coeff['units'])) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] assert nasa_dict["comment"] == self.comment assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low) assert tuple(nasa_dict["polynomials"]["polynomial2"]["coeffs"]["object"]) == tuple(self.coeffs_high) @@ -403,6 +403,7 @@ def test_nasa_as_dict_minimal(self): assert "CpInf" not in keys assert "label" not in keys assert "comment" not in keys + assert "thermo_coverage_dependence" not in keys def test_nasa_polynomial_as_dict(self): """ diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py index 92fe4737480..3b8844c184e 100644 --- a/test/rmgpy/thermo/wilhoitTest.py +++ b/test/rmgpy/thermo/wilhoitTest.py @@ -432,10 +432,10 @@ def test_wilhoit_as_dict(self): assert wilhoit_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys() sp_name = list(self.thermo_coverage_dependence.keys())[0] assert wilhoit_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model'] - enthalpy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']['object'] - assert [(int(coeff.value), str(coeff.units)) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] - entropy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']['object'] - assert [(int(coeff.value), str(coeff.units)) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] + enthalpy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients'] + assert [(int(coeff['value']), str(coeff['units'])) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients'] + entropy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients'] + assert [(int(coeff['value']), str(coeff['units'])) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients'] wilhoit_dict = {k: wilhoit_dict[k] for k in wilhoit_dict.keys() - {'thermo_coverage_dependence'}} assert wilhoit_dict == { From 589fe738f63ad4a003bd31f65f2c9e9c52b71c7e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 11:38:03 -0400 Subject: [PATCH 295/700] Fix YAML dumping style for consistency in output files. The default_flow_style=None will let it use a single line for things like [1.3, 4.0, 4.45]. Which should look more like we expected. It's a bit clunky that we have to read the yaml, modify the dicts, and dump the yaml, but this should make the changes less obnoxious. --- rmgpy/rmg/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index e38218a6ce5..dc7100a4367 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1263,10 +1263,10 @@ def execute(self, initialize=True, **kwargs): annotated_content['species'] = content['species'] with open(chem_yaml_path, 'w') as output_f: - yaml.dump(content, output_f, sort_keys=False) + yaml.dump(content, output_f, sort_keys=False, default_flow_style=None) with open(annotated_yaml_path, 'w') as output_f: - yaml.dump(annotated_content, output_f, sort_keys=False) + yaml.dump(annotated_content, output_f, sort_keys=False, default_flow_style=None) else: # gas phase only self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem.inp")) From c9e20b159173d60aaefd3362bef0db72e0dce893 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 15:41:53 -0400 Subject: [PATCH 296/700] Changing coverage-dependent thermo cantera yaml output. Now it just modifies the part of the yaml file that has changed, instead of reading and writing the whole thing. Will probably still do some refactoring, but making an intermediate commit to check it's working so far. Second commit: (squashed) A refactor of the coverage-dependence-thermo to cantera yaml code. Moved the _add_coverage_dependence_to_cantera_yaml function, and made it pass strings instead of dictionaries. --- rmgpy/rmg/main.py | 96 +++++++++++++++++++++++++++++++---------------- 1 file changed, 64 insertions(+), 32 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index dc7100a4367..3ce2ce41202 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -37,6 +37,7 @@ import logging import marshal import os +import re import resource import shutil import sys @@ -1223,6 +1224,7 @@ def execute(self, initialize=True, **kwargs): # generate Cantera files chem.yaml & chem_annotated.yaml in a designated `cantera` output folder try: if any([s.contains_surface_site() for s in self.reaction_model.core.species]): + # Surface (catalytic) chemistry self.generate_cantera_files( os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), @@ -1231,43 +1233,34 @@ def execute(self, initialize=True, **kwargs): os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), ) - if self.thermo_coverage_dependence: - # add thermo coverage dependence to Cantera files - chem_yaml_path = os.path.join(self.output_directory, "cantera", "chem.yaml") - with open(chem_yaml_path, 'r') as f: - content = yaml.load(f, Loader=yaml.FullLoader) - - content['phases'][1]['reference-state-coverage'] = 0.11 - content['phases'][1]['thermo'] = 'coverage-dependent-surface' - cantera_names = [s['name'] for s in content["species"]] + if self.thermo_coverage_dependence: + # Build coverage_deps: {species_name: string_to_add_to_yaml} + coverage_deps = {} for s in self.reaction_model.core.species: if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: - for dep_sp, parameters in s.thermo.thermo_coverage_dependence.items(): - mol = Molecule().from_adjacency_list(dep_sp) + s_name = s.to_chemkin() + for dep_sp_adj, parameters in s.thermo.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(dep_sp_adj) for sp in self.reaction_model.core.species: if sp.is_isomorphic(mol, strict=False): - parameters['units'] = {'energy':'J', 'quantity':'mol'} - parameters['enthalpy-coefficients'] = [value.value_si for value in parameters['enthalpy-coefficients']] - parameters['entropy-coefficients'] = [value.value_si for value in parameters['entropy-coefficients']] - try: - content["species"][cantera_names.index(s.to_chemkin())]['coverage-dependencies'][sp.to_chemkin()] = parameters - except KeyError: - content["species"][cantera_names.index(s.to_chemkin())]['coverage-dependencies'] = {sp.to_chemkin(): parameters} - - annotated_yaml_path = os.path.join(self.output_directory, "cantera", "chem_annotated.yaml") - with open(annotated_yaml_path, 'r') as f: - annotated_content = yaml.load(f, Loader=yaml.FullLoader) - - annotated_content['phases'] = content['phases'] - annotated_content['species'] = content['species'] - - with open(chem_yaml_path, 'w') as output_f: - yaml.dump(content, output_f, sort_keys=False, default_flow_style=None) - - with open(annotated_yaml_path, 'w') as output_f: - yaml.dump(annotated_content, output_f, sort_keys=False, default_flow_style=None) - + if s_name not in coverage_deps: + coverage_deps[s_name] = ' coverage-dependencies:' + coverage_deps[s_name] += f""" + {sp.to_chemkin()}: + model: {parameters['model']} + enthalpy-coefficients: {[v.value_si for v in parameters['enthalpy-coefficients']]} + entropy-coefficients: {[v.value_si for v in parameters['entropy-coefficients']]} + units: {{energy: J, quantity: mol}} +""" + break + + for yaml_path in [ + os.path.join(self.output_directory, "cantera", "chem.yaml"), + os.path.join(self.output_directory, "cantera", "chem_annotated.yaml"), + ]: + _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) + else: # gas phase only self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem.inp")) self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")) @@ -2431,6 +2424,45 @@ def obj(y): self.scaled_condition_list.append(scaled_new_cond) return +def _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps): + """Modify a Cantera YAML file in-place to add coverage-dependent surface thermo. + + Makes targeted text insertions rather than loading and re-dumping the whole + file, so original formatting is preserved everywhere except the new lines. + + Args: + yaml_path: path to the Cantera YAML file to modify + coverage_deps: dict mapping species ChemKin names to their coverage-dependency string. + """ + with open(yaml_path, 'r') as f: + content = f.read() + + # --- Modify the surface phase --- + # Replace 'ideal-surface' with 'coverage-dependent-surface' and add reference-state-coverage. + content = content.replace( + ' thermo: ideal-surface\n', + ' thermo: coverage-dependent-surface\n reference-state-coverage: 0.11\n', + 1, + ) + + # --- Insert coverage-dependencies block after each relevant species entry --- + for species_name, deps in coverage_deps.items(): + match = re.search(r'^- name: ' + re.escape(species_name) + r'\n', content, re.MULTILINE) + if not match: + logging.warning( + f"Species {species_name} not found in {yaml_path}; skipping coverage-dependency insertion." + ) + continue + + after = match.end() + end_match = re.search(r'\n(?=(?:- |\n|\w))', content[after:]) + if end_match: + insert_pos = after + end_match.start() + 1 + content = content[:insert_pos] + deps + content[insert_pos:] + else: + content = content.rstrip('\n') + '\n' + deps + with open(yaml_path, 'w') as f: + f.write(content) def log_conditions(rmg_memories, index): """ From 8deab1c219f0d4fea82d760461f6b9bba7bc3c14 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 2 Jul 2025 22:59:46 -0400 Subject: [PATCH 297/700] Minor refactor of kinetics _make_rule and rate averaging comments. --- rmgpy/data/kinetics/family.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index eb7223836e9..6bdd4afb026 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4596,13 +4596,16 @@ def _make_rule(rr): for i, rxn in enumerate(rxns): rxn.rank = ranks[i] rxns = np.array(rxns) - rs = np.array([r for r in rxns if type(r.kinetics) != KineticsModel]) + rs = np.array([r for r in rxns if type(r.kinetics) is not KineticsModel]) # KineticsModel is the base class with no data. n = len(rs) - if n > 0 and isinstance(rs[0].kinetics, Marcus): + if n == 0: + return None + + if isinstance(rs[0].kinetics, Marcus): kin = average_kinetics([r.kinetics for r in rs]) return kin data_mean = np.mean(np.log([r.kinetics.get_rate_coefficient(Tref) for r in rs])) - if n > 0: + if n > 0: # not needed. at this point n should always be > 0 if isinstance(rs[0].kinetics, Arrhenius): arr = ArrheniusBM else: @@ -4772,7 +4775,7 @@ def average_kinetics(kinetics_list): beta=(beta,"1/m"), wr=(wr * 0.001, "kJ/mol"), wp=(wp * 0.001, "kJ/mol"), - comment="Averaged from {} reactions.".format(len(kinetics_list)), + comment=f"Averaged from {len(kinetics_list)} rate expressions.", ) elif isinstance(kinetics, SurfaceChargeTransfer): averaged_kinetics = SurfaceChargeTransfer( @@ -4782,6 +4785,7 @@ def average_kinetics(kinetics_list): alpha=alpha, V0=(V0,'V'), Ea=(Ea * 0.001, "kJ/mol"), + comment=f"Averaged from {len(kinetics_list)} rate expressions.", ) elif isinstance(kinetics, ArrheniusChargeTransfer): averaged_kinetics = ArrheniusChargeTransfer( @@ -4791,6 +4795,7 @@ def average_kinetics(kinetics_list): alpha=alpha, V0=(V0,'V'), Ea=(Ea * 0.001, "kJ/mol"), + comment=f"Averaged from {len(kinetics_list)} rate expressions.", ) else: averaged_kinetics = Arrhenius( From d262550d168d73af08ef1abfd328571ffaa782f9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 3 Apr 2026 09:59:01 -0400 Subject: [PATCH 298/700] Minor refactor of kinetics _make_rule: outdent an "if True:" block The previous commit refactoring had made this block of code always run, so in this commit I remove the "if" statement and reduce the indentation level. Looks like many lines have changed but it's only whitespace. --- rmgpy/data/kinetics/family.py | 125 +++++++++++++++++----------------- 1 file changed, 62 insertions(+), 63 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 6bdd4afb026..0bf77cf96f7 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4605,73 +4605,72 @@ def _make_rule(rr): kin = average_kinetics([r.kinetics for r in rs]) return kin data_mean = np.mean(np.log([r.kinetics.get_rate_coefficient(Tref) for r in rs])) - if n > 0: # not needed. at this point n should always be > 0 - if isinstance(rs[0].kinetics, Arrhenius): - arr = ArrheniusBM + + if isinstance(rs[0].kinetics, Arrhenius): + arr = ArrheniusBM + else: + arr = ArrheniusChargeTransferBM + if n > 1: + kin = arr().fit_to_reactions(rs, recipe=recipe) + if n == 1 or kin.E0.value_si < 0.0: + kin = average_kinetics([r.kinetics for r in rs]) + #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n) + if n == 1: + kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) else: - arr = ArrheniusChargeTransferBM - if n > 1: - kin = arr().fit_to_reactions(rs, recipe=recipe) - if n == 1 or kin.E0.value_si < 0.0: - kin = average_kinetics([r.kinetics for r in rs]) - #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n) - if n == 1: - kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) - else: + dlnks = np.array([ + np.log( + average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) + ) for i, rxn in enumerate(rs) + ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref + varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 + # weighted average calculations + ws = 1.0 / varis + V1 = ws.sum() + V2 = (ws ** 2).sum() + mu = np.dot(ws, dlnks) / V1 + s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) + kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) + else: + if n == 1: + kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) + else: + if isinstance(rs[0].kinetics, Arrhenius): dlnks = np.array([ np.log( - average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 - # weighted average calculations - ws = 1.0 / varis - V1 = ws.sum() - V2 = (ws ** 2).sum() - mu = np.dot(ws, dlnks) / V1 - s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) - kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) - else: - if n == 1: - kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) + arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) + .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref)) + .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) + ) for i, rxn in enumerate(rs) + ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref else: - if isinstance(rs[0].kinetics, Arrhenius): - dlnks = np.array([ - np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) - .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref)) - .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - else: - dlnks = np.array([ - np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) - .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(Tref)) - .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 - # weighted average calculations - ws = 1.0 / varis - V1 = ws.sum() - V2 = (ws ** 2).sum() - mu = np.dot(ws, dlnks) / V1 - s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) - kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) - - #site solute parameters - site_datas = [get_site_solute_data(rxn) for rxn in rxns] - site_datas = [sdata for sdata in site_datas if sdata is not None] - if len(site_datas) > 0: - site_data = SoluteTSData() - for sdata in site_datas: - site_data += sdata - site_data = site_data * (1.0/len(site_datas)) - kin.solute = site_data - return kin - else: - return None + dlnks = np.array([ + np.log( + arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) + .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(Tref)) + .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) + ) for i, rxn in enumerate(rs) + ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref + varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 + # weighted average calculations + ws = 1.0 / varis + V1 = ws.sum() + V2 = (ws ** 2).sum() + mu = np.dot(ws, dlnks) / V1 + s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1)) + kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label) + + #site solute parameters + site_datas = [get_site_solute_data(rxn) for rxn in rxns] + site_datas = [sdata for sdata in site_datas if sdata is not None] + if len(site_datas) > 0: + site_data = SoluteTSData() + for sdata in site_datas: + site_data += sdata + site_data = site_data * (1.0/len(site_datas)) + kin.solute = site_data + return kin + def _spawn_tree_process(family, template_rxn_map, obj, T, nprocs, depth, min_splitable_entry_num, min_rxns_to_spawn, extension_iter_max, extension_iter_item_cap): From 1d5455b89d281dfd30992d2e542216c8c1b4b269 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 2 Jul 2025 23:01:18 -0400 Subject: [PATCH 299/700] Don't trust Blowers-Masel rate rule with abs(n) > 5.0 These are usually a consequence of trying to fit some reactions that don't seem to follow Blowers-Masel enthalpy-dependence. Matt had suggested this in 226af17914369171a12f9a5e7f3dd75ff73b0d9a but then removed it in d0126887698c3ea04d2391e3389991d1b381af54. --- rmgpy/data/kinetics/family.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 0bf77cf96f7..fb4ac56313a 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4612,12 +4612,20 @@ def _make_rule(rr): arr = ArrheniusChargeTransferBM if n > 1: kin = arr().fit_to_reactions(rs, recipe=recipe) - if n == 1 or kin.E0.value_si < 0.0: + if n == 1 or kin.E0.value_si < 0.0 or abs(kin.n.value_si) > 5.0: + # still run it through the averaging function when n=1 to standardize the units and run checks kin = average_kinetics([r.kinetics for r in rs]) #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n) if n == 1: kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) else: + if kin.E0.value_si < 0.0: + reason = "E0<0" + elif abs(kin.n.value_si) > 5.0: + reason = "abs(n)>5" + else: + reason = "?" + kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions." dlnks = np.array([ np.log( average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) From 3e5253a3853075ce7676b6f14fe90d27bb477228 Mon Sep 17 00:00:00 2001 From: davidfarinajr Date: Tue, 14 Dec 2021 16:58:43 -0500 Subject: [PATCH 300/700] ArrheniusBM.get_activation_energy can cope with negative E0 Negative E0 values don't make a lot of sense physically, but might be encountered when doing an optimization. Commit message by Richard, in 2025, while rebasing. Original code by David in 2021. --- rmgpy/kinetics/arrhenius.pyx | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index ea9e462d4f8..4e663185ec8 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -573,16 +573,22 @@ cdef class ArrheniusBM(KineticsModel): Return the activation energy in J/mol corresponding to the given enthalpy of reaction `dHrxn` in J/mol, evaluated at 298 K. """ - cdef double w0, E0 + cdef double w0, E0, Ea E0 = self._E0.value_si - if dHrxn < -4 * self._E0.value_si: - return 0.0 - elif dHrxn > 4 * self._E0.value_si: - return dHrxn + w0 = self._w0.value_si + if E0 < 0: + if dHrxn > 0: + Ea = dHrxn + else: + Ea = min(0.0, E0) else: - w0 = self._w0.value_si Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - return (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2) + if (dHrxn < 0.0 and Ea < 0.0) or (dHrxn < -4 * E0): + Ea = 0.0 + elif (dHrxn > 0.0 and Ea < dHrxn) or (dHrxn > 4 * E0): + Ea = dHrxn + return Ea cpdef Arrhenius to_arrhenius(self, double dHrxn): """ From 0fa20ee7b5a01f9cb1a1b1c89d5f2c3b6deb6491 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 1 Jul 2025 21:12:24 -0400 Subject: [PATCH 301/700] Reuse dHrxn since we're in a loop. It's also useful later. --- rmgpy/kinetics/arrhenius.pyx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 4e663185ec8..789f1f167fa 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -661,8 +661,9 @@ cdef class ArrheniusBM(KineticsModel): for rxn in rxns: # approximately correct the overall uncertainties to std deviations s = rank_accuracy_map[rxn.rank].value_si/2.0 + dHrxn = rxn.get_enthalpy_of_reaction(298.0) for T in Ts: - xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)]) + xdata.append([T, dHrxn]) ydata.append(np.log(rxn.get_rate_coefficient(T))) sigmas.append(s / (8.314 * T)) From 7817c92bea4510027050da8afc0ebc8d82607da7 Mon Sep 17 00:00:00 2001 From: davidfarinajr Date: Tue, 14 Dec 2021 16:58:43 -0500 Subject: [PATCH 302/700] Better starting guesses for optimization of lnA, n, E0. When doing a least squares optimization of the Blowers Masel parameters, we were using initial guesses of lnA = 1, n = 1, and E0 = w0/10. We now use values derived from the Arrhenius parameters of the reactions in question. Commit message by Richard when rebasing in 2025. Code changes by David in 2021. --- rmgpy/kinetics/arrhenius.pyx | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 789f1f167fa..76a206dd15b 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -658,6 +658,9 @@ cdef class ArrheniusBM(KineticsModel): xdata = [] ydata = [] sigmas = [] + E0 = 0.0 + lnA = 0.0 + n = 0.0 for rxn in rxns: # approximately correct the overall uncertainties to std deviations s = rank_accuracy_map[rxn.rank].value_si/2.0 @@ -666,6 +669,17 @@ cdef class ArrheniusBM(KineticsModel): xdata.append([T, dHrxn]) ydata.append(np.log(rxn.get_rate_coefficient(T))) sigmas.append(s / (8.314 * T)) + # Use BEP with alpha = 0.25 for inital guess of E0 + E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn + lnA += np.log(rxn.kinetics.A.value_si) + n += rxn.kinetics.n.value_si + # Use the averages as intial guess + E0 /= len(rxns) + lnA /= len(rxns) + n /= len(rxns) + E0 = min(E0, w0) + if E0 < 0: + E0 = w0 / 100.0 xdata = np.array(xdata) ydata = np.array(ydata) @@ -677,7 +691,7 @@ cdef class ArrheniusBM(KineticsModel): while keep_trying: keep_trying = False try: - params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[1.0, 1.0, w0 / 10.0], xtol=xtol, ftol=ftol) + params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[lnA, n, E0], xtol=xtol, ftol=ftol) except RuntimeError: if xtol < 1.0: keep_trying = True From ae48f6ec482192722f93fdbfb7bcf607aa631a24 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 1 Jul 2025 21:52:04 -0400 Subject: [PATCH 303/700] Simplify and hopefully optimize exponential in fitting. --- rmgpy/kinetics/arrhenius.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 76a206dd15b..a350ae87835 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -652,7 +652,7 @@ cdef class ArrheniusBM(KineticsModel): Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) - return lnA + np.log(T ** n * np.exp(-Ea / (8.314 * T))) + return lnA + np.log(T) * n + (-Ea / (8.314472 * T)) # get (T,dHrxn(T)) -> (Ln(k) mappings xdata = [] From dd64341abe986e9c642aca6a41b808e170034193 Mon Sep 17 00:00:00 2001 From: davidfarinajr Date: Tue, 14 Dec 2021 16:58:43 -0500 Subject: [PATCH 304/700] Revised Blowers-Masel ArrheniusBM fitting. If fitted E0 exceeds the w0 then try again, and gradually increase the w0 up to 5 times. Use kJ/mol for w0 and E0. Commit message by Richard when rebasing in 2025. Original changes by David Farina in 2021. --- rmgpy/kinetics/arrhenius.pyx | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index a350ae87835..8bae422e947 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -619,11 +619,12 @@ cdef class ArrheniusBM(KineticsModel): assert w0 is not None or recipe is not None, 'either w0 or recipe must be specified' if Ts is None: - Ts = [300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0, 2000.0] + Ts = np.array([300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0, 2000.0]) if w0 is None: #estimate w0 w0s = get_w0s(recipe, rxns) w0 = sum(w0s) / len(w0s) + self.w0 = (w0 * 0.001, 'kJ/mol') if len(rxns) == 1: rxn = rxns[0] @@ -688,10 +689,18 @@ cdef class ArrheniusBM(KineticsModel): keep_trying = True xtol = 1e-8 ftol = 1e-8 + attempts = 0 while keep_trying: keep_trying = False try: params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[lnA, n, E0], xtol=xtol, ftol=ftol) + lnA, n, E0 = params[0].tolist() + if abs(E0/self.w0.value_si) > 1 and attempts < 5: + keep_trying = True + if attempts > 0: + self.w0.value_si *= 1.25 + attempts += 1 + E0 = self.w0.value_si / 10.0 except RuntimeError: if xtol < 1.0: keep_trying = True @@ -700,7 +709,6 @@ cdef class ArrheniusBM(KineticsModel): else: raise ValueError("Could not fit BM arrhenius to reactions with xtol<1.0") - lnA, n, E0 = params[0].tolist() A = np.exp(lnA) self.Tmin = (np.min(Ts), "K") @@ -716,8 +724,7 @@ cdef class ArrheniusBM(KineticsModel): self.A = (A, A_units[order]) self.n = n - self.w0 = (w0, 'J/mol') - self.E0 = (E0, 'J/mol') + self.E0 = (E0 * 0.001, 'kJ/mol') return self From d49b5697a5317eae66ad1bf004c16e6d465efd6b Mon Sep 17 00:00:00 2001 From: Nora Khalil Date: Tue, 28 May 2024 15:25:09 -0400 Subject: [PATCH 305/700] modifying BM fitting so w0 is always at least 2 E0 --- rmgpy/kinetics/arrhenius.pyx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 8bae422e947..ccd69ea58b7 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -679,6 +679,8 @@ cdef class ArrheniusBM(KineticsModel): lnA /= len(rxns) n /= len(rxns) E0 = min(E0, w0) + w0 = max(2 * E0, w0) # Expression only works if w0>2E0, and is insensitive to w0 + self.w0 = (w0 * 0.001, 'kJ/mol') if E0 < 0: E0 = w0 / 100.0 From 2fc779ac021d10b26d5be286b565b13fd96f2cca Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 2 Jul 2025 23:21:22 -0400 Subject: [PATCH 306/700] ArrheniuschargeTransferBM.get_activation_energy can cope with negative E0 Like the commit ArrheniusBM.get_activation_energy can cope with negative E0 but for ArrheniuschargeTransferBM because we have horrible code duplication issues. --- rmgpy/kinetics/arrhenius.pyx | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index ccd69ea58b7..74a67605559 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -1580,16 +1580,22 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): Return the activation energy in J/mol corresponding to the given enthalpy of reaction `dHrxn` in J/mol. """ - cdef double w0, E0 + cdef double w0, E0, Ea E0 = self._E0.value_si - if dHrxn < -4 * self._E0.value_si: - return 0.0 - elif dHrxn > 4 * self._E0.value_si: - return dHrxn + w0 = self._w0.value_si + if E0 < 0: + if dHrxn > 0: + Ea = dHrxn + else: + Ea = min(0.0, E0) else: - w0 = self._w0.value_si Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - return (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) + if (dHrxn < 0.0 and Ea < 0.0) or (dHrxn < -4 * E0): + Ea = 0.0 + elif (dHrxn > 0.0 and Ea < dHrxn) or (dHrxn > 4 * E0): + Ea = dHrxn + return Ea cpdef double get_rate_coefficient_from_potential(self, double T, double V, double dHrxn) except -1: """ From b6ddb4d35fe424f11b66b6d9955c3896a23fd3c4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 2 Jul 2025 23:34:59 -0400 Subject: [PATCH 307/700] Update ArrheniusChargeTransferBM.fit_to_reactions These changes mirror those made to the ArrheniusBM.fit_to_reactions so look there for detailed commit messages explaining the changes. This, unfortunately, is a bunch of duplicate code. --- rmgpy/kinetics/arrhenius.pyx | 38 +++++++++++++++++++++++++++++------- 1 file changed, 31 insertions(+), 7 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 74a67605559..b9c694f8846 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -1625,11 +1625,12 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): rxn.kinetics.change_v0(0.0) if Ts is None: - Ts = [300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0] + Ts = np.array([300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0]) if w0 is None: #estimate w0 w0s = get_w0s(recipe, rxns) w0 = sum(w0s) / len(w0s) + self.w0 = (w0 * 0.001, 'kJ/mol') if len(rxns) == 1: rxn = rxns[0] @@ -1657,19 +1658,36 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) - return lnA + np.log(T ** n * np.exp(-Ea / (8.314 * T))) + return lnA + np.log(T) * n + (-Ea / (8.314 * T)) # get (T,dHrxn(T)) -> (Ln(k) mappings xdata = [] ydata = [] sigmas = [] + E0 = 0.0 + lnA = 0.0 + n = 0.0 for rxn in rxns: # approximately correct the overall uncertainties to std deviations s = rank_accuracy_map[rxn.rank].value_si/2.0 + dHrxn = rxn.get_enthalpy_of_reaction(298.0) for T in Ts: - xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)]) + xdata.append([T, dHrxn]) ydata.append(np.log(rxn.get_rate_coefficient(T))) sigmas.append(s / (8.314 * T)) + # Use BEP with alpha = 0.25 for initial guess of E0 + E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn + lnA += np.log(rxn.kinetics.A.value_si) + n += rxn.kinetics.n.value_si + # average E0, lnA, n over all reactions + E0 /= len(rxns) + lnA /= len(rxns) + n /= len(rxns) + E0 = min(E0, w0) + w0 = max(2 * E0, w0) # ensure w0 is at least 2*E0 + self.w0 = (w0 * 0.001, 'kJ/mol') + if E0 < 0: + E0 = w0 / 100.0 xdata = np.array(xdata) ydata = np.array(ydata) @@ -1678,10 +1696,18 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): keep_trying = True xtol = 1e-8 ftol = 1e-8 + attempts = 0 while keep_trying: keep_trying = False try: - params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[1.0, 1.0, w0 / 10.0], xtol=xtol, ftol=ftol) + params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[lnA, n, E0], xtol=xtol, ftol=ftol) + lnA, n, E0 = params[0].tolist() + if abs(E0/self.w0.value_si) > 1.0 and attempts < 5: + keep_trying = True + if attempts > 0: + self.w0.value_si *= 1.25 + attempts += 1 + E0 = self.w0.value_si / 10.0 except RuntimeError: if xtol < 1.0: keep_trying = True @@ -1690,7 +1716,6 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): else: raise ValueError("Could not fit BM arrhenius to reactions with xtol<1.0") - lnA, n, E0 = params[0].tolist() A = np.exp(lnA) self.Tmin = (np.min(Ts), "K") @@ -1705,8 +1730,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): self.A = (A, A_units[order]) self.n = n - self.w0 = (w0, 'J/mol') - self.E0 = (E0, 'J/mol') + self.E0 = (E0 * 0.001, 'kJ/mol') self._V0.value_si = 0.0 self.electrons = rxns[0].electrons From 98ac807437671f753e9dc22a72cc17c71b612e04 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 10:40:04 -0400 Subject: [PATCH 308/700] Handle negative E0 in ArrheniusBM and ArrheniusChargeTransferBM by adjusting activation energy calculation. A negative intrinsic barrier height is not very physical given Blowers and Masels original derivation but it could be encountered in some cases of optimization etc. This choice of what to do when E0 < 0 seems as good as any. It is continuous and monotonic when gradually decreasing E0 past E0 = 0. And it allows E0 < 0 values to actually change the resulting Ea values, and for the latter to go negative. (but not more negative that E0). Beware code duplication here - need to do things twice. --- rmgpy/kinetics/arrhenius.pyx | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index b9c694f8846..bd86c33632d 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -577,10 +577,8 @@ cdef class ArrheniusBM(KineticsModel): E0 = self._E0.value_si w0 = self._w0.value_si if E0 < 0: - if dHrxn > 0: - Ea = dHrxn - else: - Ea = min(0.0, E0) + # Negative E0 is unphysical, but could be encountered during optimization. + Ea = E0 + max(dHrxn, 0.0) else: Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2) @@ -1584,10 +1582,8 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): E0 = self._E0.value_si w0 = self._w0.value_si if E0 < 0: - if dHrxn > 0: - Ea = dHrxn - else: - Ea = min(0.0, E0) + # Negative E0 is unphysical, but could be encountered during optimization. + Ea = E0 + max(dHrxn, 0.0) else: Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) From 3b1461a96994f2244d3c8125bd53cc0d13bef67e Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 11:00:33 -0400 Subject: [PATCH 309/700] Refactor ArrheniusBM and ArrheniusChargeTransferBM To improve activation energy calculations for negative E0 scenarios. These changes shouldn't actually change the result. Just some slight code optimization (eg. x*x instead of x**2) and simplification (eg. do (x/y) instead of (2*x)/(2*y)) Beware of code duplication. --- rmgpy/kinetics/arrhenius.pyx | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index bd86c33632d..0f64aa0c11d 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -580,11 +580,11 @@ cdef class ArrheniusBM(KineticsModel): # Negative E0 is unphysical, but could be encountered during optimization. Ea = E0 + max(dHrxn, 0.0) else: - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2) - if (dHrxn < 0.0 and Ea < 0.0) or (dHrxn < -4 * E0): + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) + if (Ea < 0.0) or (dHrxn < -4 * E0): Ea = 0.0 - elif (dHrxn > 0.0 and Ea < dHrxn) or (dHrxn > 4 * E0): + elif (Ea < dHrxn) or (dHrxn > 4 * E0): Ea = dHrxn return Ea @@ -632,8 +632,8 @@ cdef class ArrheniusBM(KineticsModel): Ea = rxn.kinetics.Ea.value_si def kfcn(E0): - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) return out E0 = fsolve(kfcn, w0 / 10.0)[0] @@ -647,8 +647,8 @@ cdef class ArrheniusBM(KineticsModel): def kfcn(xs, lnA, n, E0): T = xs[:,0] dHrxn = xs[:,1] - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) return lnA + np.log(T) * n + (-Ea / (8.314472 * T)) @@ -1585,11 +1585,11 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): # Negative E0 is unphysical, but could be encountered during optimization. Ea = E0 + max(dHrxn, 0.0) else: - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) - if (dHrxn < 0.0 and Ea < 0.0) or (dHrxn < -4 * E0): + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) + if (Ea < 0.0) or (dHrxn < -4 * E0): Ea = 0.0 - elif (dHrxn > 0.0 and Ea < dHrxn) or (dHrxn > 4 * E0): + elif (Ea < dHrxn) or (dHrxn > 4 * E0): Ea = dHrxn return Ea @@ -1636,8 +1636,8 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): Ea = rxn.kinetics.Ea.value_si def kfcn(E0): - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) return out E0 = fsolve(kfcn, w0 / 10.0)[0] @@ -1650,8 +1650,8 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): def kfcn(xs, lnA, n, E0): T = xs[:,0] dHrxn = xs[:,1] - Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0) - Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn) + Vp = 2 * w0 * (w0 + E0) / (w0 - E0) + Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) return lnA + np.log(T) * n + (-Ea / (8.314 * T)) From 3422d0ba27a02f36d50ca7d11ccefa9a2bd37abe Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 14:35:02 -0400 Subject: [PATCH 310/700] Use constants.R instead of 8.314 or 8.314472 --- rmgpy/data/kinetics/family.py | 4 ++-- rmgpy/kinetics/arrhenius.pyx | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index fb4ac56313a..b2eab920842 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4631,7 +4631,7 @@ def _make_rule(rr): average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) ) for i, rxn in enumerate(rs) ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 + varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * constants.R * Tref)) ** 2 # weighted average calculations ws = 1.0 / varis V1 = ws.sum() @@ -4659,7 +4659,7 @@ def _make_rule(rr): .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) ) for i, rxn in enumerate(rs) ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref - varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2 + varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * constants.R * Tref)) ** 2 # weighted average calculations ws = 1.0 / varis V1 = ws.sum() diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 0f64aa0c11d..d46a82c5e15 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -651,7 +651,7 @@ cdef class ArrheniusBM(KineticsModel): Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) - return lnA + np.log(T) * n + (-Ea / (8.314472 * T)) + return lnA + np.log(T) * n + (-Ea / (constants.R * T)) # get (T,dHrxn(T)) -> (Ln(k) mappings xdata = [] @@ -667,7 +667,7 @@ cdef class ArrheniusBM(KineticsModel): for T in Ts: xdata.append([T, dHrxn]) ydata.append(np.log(rxn.get_rate_coefficient(T))) - sigmas.append(s / (8.314 * T)) + sigmas.append(s / (constants.R * T)) # Use BEP with alpha = 0.25 for inital guess of E0 E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn lnA += np.log(rxn.kinetics.A.value_si) @@ -1654,7 +1654,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn) Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea) Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea) - return lnA + np.log(T) * n + (-Ea / (8.314 * T)) + return lnA + np.log(T) * n + (-Ea / (constants.R * T)) # get (T,dHrxn(T)) -> (Ln(k) mappings xdata = [] @@ -1670,7 +1670,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): for T in Ts: xdata.append([T, dHrxn]) ydata.append(np.log(rxn.get_rate_coefficient(T))) - sigmas.append(s / (8.314 * T)) + sigmas.append(s / (constants.R * T)) # Use BEP with alpha = 0.25 for initial guess of E0 E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn lnA += np.log(rxn.kinetics.A.value_si) From 42718a82544370e5081ac262a8c5fc98dca9a591 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 14:45:02 -0400 Subject: [PATCH 311/700] Fix w0 bug in Blowers-Masel fitting. We changed the w0, but not the instance of it that's used inside the objective function inside the fitting loop. (Beware code duplication in ArrheniusBM and ArrheniusChargeTransferBM) --- rmgpy/kinetics/arrhenius.pyx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index d46a82c5e15..6252b6ce950 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -699,6 +699,7 @@ cdef class ArrheniusBM(KineticsModel): keep_trying = True if attempts > 0: self.w0.value_si *= 1.25 + w0 = self.w0.value_si # update local variable for use in kfcn optimization function attempts += 1 E0 = self.w0.value_si / 10.0 except RuntimeError: @@ -1702,6 +1703,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel): keep_trying = True if attempts > 0: self.w0.value_si *= 1.25 + w0 = self.w0.value_si # update local variable for use in kfcn optimization function attempts += 1 E0 = self.w0.value_si / 10.0 except RuntimeError: From 159069914b2a9ff535278cb912d3b9a1836eee05 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 6 Apr 2026 14:46:38 -0400 Subject: [PATCH 312/700] Simplify some array slicing for leave-one-out selection. For the leave-one-out selection of reactions from rs, replace rs[list(set(range(len(rs))) - {i})] with np.delete(rs, i) (which returns a copy) --- rmgpy/data/kinetics/family.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index b2eab920842..e319017a886 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4628,7 +4628,7 @@ def _make_rule(rr): kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions." dlnks = np.array([ np.log( - average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) + average_kinetics([r.kinetics for r in np.delete(rs, i)]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) ) for i, rxn in enumerate(rs) ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * constants.R * Tref)) ** 2 @@ -4646,7 +4646,7 @@ def _make_rule(rr): if isinstance(rs[0].kinetics, Arrhenius): dlnks = np.array([ np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) + arr().fit_to_reactions(np.delete(rs, i), recipe=recipe) .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref)) .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) ) for i, rxn in enumerate(rs) @@ -4654,7 +4654,7 @@ def _make_rule(rr): else: dlnks = np.array([ np.log( - arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe) + arr().fit_to_reactions(np.delete(rs, i), recipe=recipe) .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(Tref)) .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) ) for i, rxn in enumerate(rs) From 3d0b9b1c0004e6e95ac5714a4a4acb6acb4e3d3c Mon Sep 17 00:00:00 2001 From: Nora Khalil Date: Wed, 8 Apr 2026 11:28:56 -0400 Subject: [PATCH 313/700] Refactoring to avoid AttributeError in _make_rule --- rmgpy/data/kinetics/family.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index e319017a886..764c6a3c7c8 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4613,18 +4613,23 @@ def _make_rule(rr): if n > 1: kin = arr().fit_to_reactions(rs, recipe=recipe) if n == 1 or kin.E0.value_si < 0.0 or abs(kin.n.value_si) > 5.0: - # still run it through the averaging function when n=1 to standardize the units and run checks - kin = average_kinetics([r.kinetics for r in rs]) - #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n) - if n == 1: - kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) - else: + + if n > 1: #we have an ArrheniusBM if kin.E0.value_si < 0.0: reason = "E0<0" elif abs(kin.n.value_si) > 5.0: reason = "abs(n)>5" else: reason = "?" + + # still run it through the averaging function when n=1 to standardize the units and run checks + kin = average_kinetics([r.kinetics for r in rs]) + + if n == 1: + + kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) + else: + kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions." dlnks = np.array([ np.log( From 5cbdf83098758c4d2cb926fd7cd1f0d8a6cb3375 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 22:45:21 -0400 Subject: [PATCH 314/700] Update the cross_validate method to match the _make_rule method, for fitting kinetics. I tried using a helper function that could be re-used, but it started to get too messy and complicated. This unfortunately requires continued maintenance keeping three different bits of code in sync doing the same thing, eg. rejecting BM fits when abs(n)>5 or E0<0. --- rmgpy/data/kinetics/family.py | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 764c6a3c7c8..441e57fce13 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -3678,19 +3678,22 @@ def cross_validate(self, folds=5, template_rxn_map=None, test_rxn_inds=None, T=1 uncertainties[rxn] = self.rules.entries[entry.label][0].data.uncertainty - L = list(set(template_rxn_map[entry.label]) - set(rxns_test)) if L != []: if isinstance(L[0].kinetics, Arrhenius): kinetics = ArrheniusBM().fit_to_reactions(L, recipe=self.forward_recipe.actions) - if kinetics.E0.value_si < 0.0 or len(L) == 1: + # These conditions (eg. n>5) for rejecting the BM fit should correspond + # to those in _marke_rule, and those just below: + if len(L) == 1 or kinetics.E0.value_si < 0.0 or abs(kinetics.n.value_si) > 5.0: kinetics = average_kinetics([r.kinetics for r in L]) else: kinetics = kinetics.to_arrhenius(rxn.get_enthalpy_of_reaction(298.)) else: kinetics = ArrheniusChargeTransferBM().fit_to_reactions(L, recipe=self.forward_recipe.actions) - if kinetics.E0.value_si < 0.0 or len(L) == 1: + # These conditions (eg. n>5) for rejecting the BM fit should correspond + # to those in _marke_rule, and those just above: + if len(L) == 1 or kinetics.E0.value_si < 0.0 or abs(kinetics.n.value_si) > 5.0: kinetics = average_kinetics([r.kinetics for r in L]) else: kinetics = kinetics.to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(298.)) @@ -4612,8 +4615,9 @@ def _make_rule(rr): arr = ArrheniusChargeTransferBM if n > 1: kin = arr().fit_to_reactions(rs, recipe=recipe) + + # If you update the following conditions, also update the cross_validate function. if n == 1 or kin.E0.value_si < 0.0 or abs(kin.n.value_si) > 5.0: - if n > 1: #we have an ArrheniusBM if kin.E0.value_si < 0.0: reason = "E0<0" @@ -4621,15 +4625,13 @@ def _make_rule(rr): reason = "abs(n)>5" else: reason = "?" - + # still run it through the averaging function when n=1 to standardize the units and run checks kin = average_kinetics([r.kinetics for r in rs]) - - if n == 1: + if n == 1: kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) else: - kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions." dlnks = np.array([ np.log( From d9ab313c024b9f0a9cde3c2f7d8dbbcb55f1441b Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 23:08:06 -0400 Subject: [PATCH 315/700] Modernize display.py IPython detection Replace deprecated InteractiveShell.initialized() with get_ipython(), the canonical way to detect an active IPython/Jupyter session. Also update the docstring to drop the legacy --pylab reference. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/display.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/rmgpy/display.py b/rmgpy/display.py index 3b6c751a10b..cf9a40d2d28 100644 --- a/rmgpy/display.py +++ b/rmgpy/display.py @@ -29,18 +29,18 @@ """ This module contains only a display() function, which, if you are running in -the IPython --pylab mode, will render things inline in pretty SVG or PNG graphics. -If you are NOT running in IPython --pylab mode, it will do nothing. +a Jupyter notebook or IPython session, will render things inline in pretty SVG or PNG graphics. +If you are NOT running in such an environment, it will do nothing. """ try: - from IPython.core.interactiveshell import InteractiveShell + from IPython import get_ipython + _ipython = get_ipython() except ImportError: + _ipython = None + +if _ipython is not None: + from IPython.display import display +else: def display(obj): pass -else: - if InteractiveShell.initialized(): - from IPython.core.display import display - else: - def display(obj): - pass From a055748569be00d55e3600296875df737db89add Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 7 Apr 2026 17:15:18 -0400 Subject: [PATCH 316/700] Add notebook demonstrating cov-dep thermo in RMG This notebook demonstrates how to run RMG using a library with coverage-dependent thermo entries. Then it shows a simulation of the resulting mechanism and compares it to the baseline of no coverage dependence. --- ipython/coverage_dependent_thermo.ipynb | 3671 +++++++++++++++++++++++ 1 file changed, 3671 insertions(+) create mode 100644 ipython/coverage_dependent_thermo.ipynb diff --git a/ipython/coverage_dependent_thermo.ipynb b/ipython/coverage_dependent_thermo.ipynb new file mode 100644 index 00000000000..7ceb64b41cb --- /dev/null +++ b/ipython/coverage_dependent_thermo.ipynb @@ -0,0 +1,3671 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "2635da2c", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import numpy as np\n", + "import subprocess\n", + "import cantera as ct\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n" + ] + }, + { + "cell_type": "markdown", + "id": "e510eda3", + "metadata": {}, + "source": [ + "# Run baseline and coverage-dependent RMG jobs\n", + "\n", + "This should take less than 5 minutes" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "4daa7653", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running RMG with input file at temp/cov_dep_rmg_run/input.py...\n", + "Global RMG Settings:\n", + " database.directory = /home/moon/rmg/RMG-database/input (Default, relative to RMG-Py source code)\n", + " test_data.directory = /home/moon/rmg/RMG-Py/test/rmgpy/test_data (Default, relative to RMG-Py source code)\n", + "RMG execution initiated at Tue Apr 7 16:44:57 2026\n", + "\n", + "#########################################################\n", + "# RMG-Py - Reaction Mechanism Generator in Python #\n", + "# Version: 3.3.0 #\n", + "# Authors: RMG Developers (rmg_dev@mit.edu) #\n", + "# P.I.s: William H. Green (whgreen@mit.edu) #\n", + "# Richard H. West (r.west@neu.edu) #\n", + "# Website: http://reactionmechanismgenerator.github.io/ #\n", + "#########################################################\n", + "\n", + "The current git HEAD for RMG-Py is:\n", + "\tb'5bbd2707ea570c5a4fb681f0baa071fb1058ad24'\n", + "\tb'Mon Apr 6 15:20:46 2026 -0400'\n", + "\n", + "The current git HEAD for RMG-database is:\n", + "\tb'edfb0e5d715146fd0edd2201a0749217781af2b3'\n", + "\tb'Tue Apr 7 16:09:33 2026 -0400'\n", + "\n", + "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/input.py\"...\n", + "\n", + "# Data sources\n", + "database(\n", + " thermoLibraries=['covDepSurfaceThermoPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", + " reactionLibraries = [\n", + " ('Surface/Methane/Deutschmann_Pt', False),\n", + " ('Surface/Methane/Vlachos_Pt111', False),\n", + " 'BurkeH2O2inArHe'],\n", + " seedMechanisms = [],\n", + " kineticsDepositories = ['training'],\n", + " kineticsFamilies =['surface','default'],\n", + " kineticsEstimator = 'rate rules',\n", + ")\n", + "\n", + "catalystProperties( # default values for Pt(111)\n", + " metal = 'Pt111',\n", + " thermoCoverageDependence = True,\n", + ")\n", + "\n", + "# List of species\n", + "species(\n", + " label='X',\n", + " reactive=True,\n", + " structure=adjacencyList(\"1 X u0\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH4',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH4]\"),\n", + ")\n", + "species(\n", + " label='O2',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u1 p2 c0 {2,S}\n", + " 2 O u1 p2 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='Ar',\n", + " reactive=False,\n", + " structure=SMILES(\"[Ar]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO2',\n", + " reactive=True,\n", + " structure=SMILES(\"O=C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2O',\n", + " reactive=True,\n", + " structure=SMILES(\"O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2',\n", + " reactive=True,\n", + " structure=SMILES(\"[H][H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO',\n", + " reactive=True,\n", + " structure=SMILES(\"[C-]#[O+]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H6',\n", + " reactive=True,\n", + " structure=SMILES(\"CC\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH2O',\n", + " reactive=True,\n", + " structure=SMILES(\"C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH3]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C3H8',\n", + " reactive=True,\n", + " structure=SMILES(\"CCC\"),\n", + ")\n", + "\n", + "species(\n", + " label='H',\n", + " reactive=True,\n", + " structure=SMILES(\"[H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H5',\n", + " reactive=True,\n", + " structure=SMILES(\"C[CH2]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OH',\n", + " reactive=True,\n", + " structure=SMILES(\"CO\"),\n", + ")\n", + "\n", + "species(\n", + " label='HCO',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CHO',\n", + " reactive=True,\n", + " structure=SMILES(\"CC=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='OH',\n", + " reactive=True,\n", + " structure=SMILES(\"[OH]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H4',\n", + " reactive=True,\n", + " structure=SMILES(\"C=C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CH',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OO',\n", + " reactive=True,\n", + " structure=SMILES(\"CO[O]\"),\n", + ")\n", + "\n", + "species(\n", + " label='HX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CO2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {3,D}\n", + " 2 O u0 p2 c0 {3,D}\n", + " 3 C u0 p0 c0 {1,D} {2,D}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='COX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,D}\n", + " 3 X u0 p0 c0 {2,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH4X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 H u0 p0 c0 {1,S}\n", + " 6 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH3X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,T}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,T}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,Q}\n", + " 2 X u0 p0 c0 {1,Q}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHOX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n", + " 3 H u0 p0 c0 {2,S}\n", + " 4 X u0 p0 c0 {2,S}\n", + " '''),\n", + ")\n", + "\n", + "surfaceReactor(\n", + " temperature=(600,'K'),\n", + " initialPressure=(1.0, 'bar'),\n", + " initialGasMoleFractions={\n", + " \"CH4\": 0.108574,\n", + " \"O2\": 0.02088,\n", + " \"Ar\": 0.78547,\n", + " },\n", + " initialSurfaceCoverages={\n", + " \"X\": 1.0,\n", + " },\n", + " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", + " terminationConversion = { \"CH4\":0.95,},\n", + " terminationTime=(10., 's'),\n", + " # terminationConversion={'O2': 0.99,},\n", + " terminationRateRatio=0.05\n", + ")\n", + "\n", + "surfaceReactor(\n", + " temperature=(2000,'K'),\n", + " initialPressure=(1.0, 'bar'),\n", + " initialGasMoleFractions={\n", + " \"CH4\": 0.041866,\n", + " \"O2\": 0.03488,\n", + " \"Ar\": 0.131246,\n", + " },\n", + " initialSurfaceCoverages={\n", + " \"X\": 1.0,\n", + " },\n", + " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", + " terminationConversion = { \"CH4\":0.95,},\n", + " terminationTime=(10., 's'),\n", + " # terminationConversion={'O2': 0.99,},\n", + " terminationRateRatio=0.05\n", + ")\n", + "\n", + "\n", + "simulator(\n", + " atol=1e-18,\n", + " rtol=1e-12,\n", + ")\n", + "\n", + "model(\n", + " toleranceKeepInEdge=0.0,\n", + " toleranceMoveToCore=1e-1,\n", + "# inturrupt tolerance was 0.1 wout pruning, 1e8 w pruning on\n", + " toleranceInterruptSimulation=1e8,\n", + " maximumEdgeSpecies=500000,\n", + " maxNumSpecies=44,\n", + "# PRUNING: uncomment to prune\n", + "# minCoreSizeForPrune=50,\n", + "# prune before simulation based on thermo\n", + "# toleranceThermoKeepSpeciesInEdge=0.5,\n", + "# prune rxns from edge that dont move into core\n", + "# minSpeciesExistIterationsForPrune=2,\n", + "# FILTERING: set so threshold is slightly larger than max rate constants\n", + "# filterReactions=True,\n", + "# filterThreshold=5e8, # default value\n", + ")\n", + "\n", + "options(\n", + " units='si',\n", + " saveRestartPeriod=None,\n", + " generateOutputHTML=True,\n", + " generatePlots=False,\n", + " saveEdgeSpecies=True,\n", + " saveSimulationProfiles=True,\n", + ")\n", + "\n", + "generatedSpeciesConstraints(\n", + " allowed=['input species','reaction libraries'],\n", + " maximumSurfaceSites=1,\n", + ")\n", + "\n", + "Using catalyst surface properties from metal 'Pt111'.\n", + "Using binding energies:\n", + "{'H': (-2.75368,'eV/molecule'), 'C': (-7.02516,'eV/molecule'), 'N': (-4.63225,'eV/molecule'), 'O': (-3.81153,'eV/molecule')}\n", + "Using surface site density: (2.483e-09,'mol/cm^2')\n", + "Coverage dependence is turned OFF\n", + "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n", + "\n", + "\n", + "Surface reaction system 1\n", + "Gas phase mole fractions:\n", + " CH4 0.11867\n", + " O2 0.022822\n", + " Ar 0.85851\n", + "Total gas phase: 1 moles\n", + "Pressure: 1e+05 Pa\n", + "Temperature: 600.0 K\n", + "Reactor volume: 0.0499 m3\n", + "Surface/volume ratio: 1e+05 m2/m3\n", + "Surface site density: 2.48e-05 mol/m2\n", + "Surface sites in reactor: 0.124 moles\n", + "Initial surface coverages (and amounts):\n", + " X 1 = 0.12387 moles\n", + "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n", + "\n", + "\n", + "Surface reaction system 2\n", + "Gas phase mole fractions:\n", + " CH4 0.20129\n", + " O2 0.1677\n", + " Ar 0.63101\n", + "Total gas phase: 1 moles\n", + "Pressure: 1e+05 Pa\n", + "Temperature: 2000.0 K\n", + "Reactor volume: 0.166 m3\n", + "Surface/volume ratio: 1e+05 m2/m3\n", + "Surface site density: 2.48e-05 mol/m2\n", + "Surface sites in reactor: 0.413 moles\n", + "Initial surface coverages (and amounts):\n", + " X 1 = 0.4129 moles\n", + "Warning: Generate Output HTML option was turned on. Note that this will slow down model generation.\n", + "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n", + "\n", + "Loading transport library from PrimaryTransportLibrary.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from OneDMinN2.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n", + "Loading kinetics library Surface/Methane/Deutschmann_Pt from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Deutschmann_Pt/reactions.py...\n", + "Loading kinetics library Surface/Methane/Vlachos_Pt111 from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Vlachos_Pt111/reactions.py...\n", + "Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n", + "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n", + "Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n", + "Loading thermodynamics library from covDepSurfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n", + "Trimolecular reactions are turned on\n", + "Adding rate rules from training set in kinetics families...\n", + "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), thermo_coverage_dependence={}, comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n", + "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), thermo_coverage_dependence={}, comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Filling in rate rules in kinetics families by averaging...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=9.78829e-18): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.30526e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.38146e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.43874e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.11249e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=5.2787e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.26538e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.9079e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.53573e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.43345e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.47964e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.34061e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.87325e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.20362e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.39961e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.56405e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.40143e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.71804e-22): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.97734e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.47076e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=6.10745e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.69387e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.30536e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.51603e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n", + " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n", + "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=1.08953e-21): result may not be accurate.\n", + " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Adding reaction library Surface/Methane/Deutschmann_Pt to model edge...\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 18 new edge reactions\n", + " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n", + " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n", + " X(1) + H2O(5) <=> H2OX(32)\n", + " X(1) + CO2(4) <=> CO2X(22)\n", + " X(1) + CO(7) <=> COX(23)\n", + " OX(25) + CX(29) <=> X(1) + COX(23)\n", + " OX(25) + COX(23) <=> X(1) + CO2X(22)\n", + " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n", + " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n", + " X(1) + CHX(28) <=> HX(21) + CX(29)\n", + " OX(25) + HX(21) <=> X(1) + OHX(31)\n", + " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + " H2(6) + CX(29) <=> CH2X(26)\n", + " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 34 species and 18 reactions\n", + "\n", + "Adding reaction library Surface/Methane/Vlachos_Pt111 to model edge...\n", + "This library reaction was not new: X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + "This library reaction was not new: X(1) + CO2(4) <=> CO2X(22)\n", + "This library reaction was not new: X(1) + CO2X(22) <=> OX(25) + COX(23)\n", + "This library reaction was not new: X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + "This library reaction was not new: X(1) + OHX(31) <=> OX(25) + HX(21)\n", + "This library reaction was not new: X(1) + H2OX(32) <=> HX(21) + OHX(31)\n", + "This library reaction was not new: OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + "This library reaction was not new: X(1) + H2O(5) <=> H2OX(32)\n", + "This library reaction was not new: HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + "This library reaction was not new: X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + "This library reaction was not new: X(1) + CH3X(27) <=> HX(21) + CH2X(26)\n", + "This library reaction was not new: X(1) + CH2X(26) <=> HX(21) + CHX(28)\n", + "This library reaction was not new: X(1) + CHX(28) <=> HX(21) + CX(29)\n", + "This library reaction was not new: X(1) + COX(23) <=> OX(25) + CX(29)\n", + "Warning: Species CO from reaction library Surface/Methane/Vlachos_Pt111 is globally forbidden. It will behave as an inert unless found in a seed mechanism or reaction library.\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 15 new edge species\n", + " O(34)\n", + " CO(35)\n", + " COOH(36)\n", + " COOH_X(37)\n", + " HCOO(38)\n", + " HCOO_XX(39)\n", + " C(40)\n", + " CH(41)\n", + " CH2(42)\n", + " CH3OH_X(43)\n", + " CH3O(44)\n", + " CH3O_X(45)\n", + " CH2O_X(46)\n", + " CH2OH(47)\n", + " CH2OH_X(48)\n", + "Added 0 new core reactions\n", + "Created 37 new edge reactions\n", + " X(1) + O(34) <=> OX(25)\n", + " X(1) + CO(35) <=> COX(23)\n", + " X(1) + OH(17) <=> OHX(31)\n", + " X(1) + H(12) <=> HX(21)\n", + " X(1) + COOH(36) <=> COOH_X(37)\n", + " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n", + " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n", + " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n", + " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n", + " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n", + " X(1) + X(1) + HCOO(38) <=> HCOO_XX(39)\n", + " HX(21) + CO2X(22) <=> HCOO_XX(39)\n", + " X(1) + OHX(31) + CO2X(22) <=> OX(25) + HCOO_XX(39)\n", + " X(1) + C(40) <=> CX(29)\n", + " X(1) + CH(41) <=> CHX(28)\n", + " X(1) + CH2(42) <=> CH2X(26)\n", + " X(1) + CH3(10) <=> CH3X(27)\n", + " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n", + " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n", + " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n", + " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n", + " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n", + " HX(21) + COX(23) <=> OX(25) + CHX(28)\n", + " HX(21) + COX(23) <=> OHX(31) + CX(29)\n", + " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n", + " X(1) + CH3OH(14) <=> CH3OH_X(43)\n", + " X(1) + CH3O(44) <=> CH3O_X(45)\n", + " X(1) + CH2O(9) <=> CH2O_X(46)\n", + " X(1) + HCO(15) <=> CHOX(33)\n", + " X(1) + CH2OH(47) <=> CH2OH_X(48)\n", + " X(1) + CH3OH_X(43) <=> HX(21) + CH3O_X(45)\n", + " X(1) + CH3O_X(45) <=> HX(21) + CH2O_X(46)\n", + " X(1) + CH2O_X(46) <=> HX(21) + CHOX(33)\n", + " X(1) + CHOX(33) <=> HX(21) + COX(23)\n", + " X(1) + CH3OH_X(43) <=> HX(21) + CH2OH_X(48)\n", + " X(1) + CH2OH_X(48) <=> HX(21) + CH2O_X(46)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 49 species and 55 reactions\n", + "\n", + "Adding reaction library BurkeH2O2inArHe to model edge...\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 3 new edge species\n", + " He(49)\n", + " HO2(50)\n", + " H2O2(51)\n", + "Added 0 new core reactions\n", + "Created 30 new edge reactions\n", + " O2(3) + H(12) <=> O(34) + OH(17)\n", + " O(34) + H2(6) <=> H(12) + OH(17)\n", + " OH(17) + H2(6) <=> H(12) + H2O(5)\n", + " OH(17) + OH(17) <=> O(34) + H2O(5)\n", + " H2(6) <=> H(12) + H(12)\n", + " Ar + H2(6) <=> Ar + H(12) + H(12)\n", + " He(49) + H2(6) <=> He(49) + H(12) + H(12)\n", + " O(34) + O(34) <=> O2(3)\n", + " Ar + O(34) + O(34) <=> Ar + O2(3)\n", + " He(49) + O(34) + O(34) <=> He(49) + O2(3)\n", + " O(34) + H(12) <=> OH(17)\n", + " H2O(5) <=> H(12) + OH(17)\n", + " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n", + " O2(3) + H(12) <=> HO2(50)\n", + " H(12) + HO2(50) <=> O2(3) + H2(6)\n", + " H(12) + HO2(50) <=> OH(17) + OH(17)\n", + " O(34) + HO2(50) <=> O2(3) + OH(17)\n", + " OH(17) + HO2(50) <=> O2(3) + H2O(5)\n", + " HO2(50) + HO2(50) <=> O2(3) + H2O2(51)\n", + " H2O2(51) <=> OH(17) + OH(17)\n", + " H(12) + H2O2(51) <=> OH(17) + H2O(5)\n", + " H(12) + H2O2(51) <=> HO2(50) + H2(6)\n", + " O(34) + H2O2(51) <=> OH(17) + HO2(50)\n", + " OH(17) + H2O2(51) <=> HO2(50) + H2O(5)\n", + " H(12) + HO2(50) <=> O(34) + H2O(5)\n", + " H(12) + HO2(50) <=> H2O2(51)\n", + " OH(17) + OH(17) <=> O2(3) + H2(6)\n", + " O(34) + H2O(5) <=> O2(3) + H2(6)\n", + " O(34) + H2O2(51) <=> O2(3) + H2O(5)\n", + " O(34) + OH(17) <=> HO2(50)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 52 species and 85 reactions\n", + "\n", + "Warning: Input species CH3CH is globally forbidden but will be explicitly allowed since input species are permitted by the user's species constraints\n", + "NOT generating reactions for unreactive species Ar\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " Ar\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 1 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "NOT generating reactions for unreactive species Ne\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " Ne\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 2 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "NOT generating reactions for unreactive species N2\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " N2\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 3 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "Adding species X(1) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " X(1)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 4 species and 0 reactions\n", + " The model edge has 50 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH4(2) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH4(2)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 5 species and 0 reactions\n", + " The model edge has 49 species and 85 reactions\n", + "\n", + "\n", + "Adding species O2(3) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O2(3)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 6 species and 0 reactions\n", + " The model edge has 48 species and 85 reactions\n", + "\n", + "\n", + "Adding species CO2(4) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO2(4)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 7 species and 0 reactions\n", + " The model edge has 47 species and 85 reactions\n", + "\n", + "\n", + "Adding species H2O(5) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2O(5)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 8 species and 0 reactions\n", + " The model edge has 46 species and 85 reactions\n", + "\n", + "\n", + "Adding species H2(6) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2(6)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 9 species and 0 reactions\n", + " The model edge has 45 species and 85 reactions\n", + "\n", + "\n", + "Adding species CO(7) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO(7)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 10 species and 0 reactions\n", + " The model edge has 44 species and 85 reactions\n", + "\n", + "\n", + "Adding species C2H6(8) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H6(8)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 11 species and 0 reactions\n", + " The model edge has 43 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH2O(9) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH2O(9)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 12 species and 0 reactions\n", + " The model edge has 42 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH3(10) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3(10)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 13 species and 0 reactions\n", + " The model edge has 41 species and 85 reactions\n", + "\n", + "\n", + "Adding species C3H8(11) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C3H8(11)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 14 species and 0 reactions\n", + " The model edge has 40 species and 85 reactions\n", + "\n", + "\n", + "Adding species H(12) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H(12)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " H2(6) <=> H(12) + H(12)\n", + " Ar + H2(6) <=> Ar + H(12) + H(12)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 15 species and 2 reactions\n", + " The model edge has 39 species and 83 reactions\n", + "\n", + "\n", + "Adding species C2H5(13) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H5(13)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 16 species and 2 reactions\n", + " The model edge has 38 species and 83 reactions\n", + "\n", + "\n", + "Adding species CH3OH(14) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3OH(14)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 17 species and 2 reactions\n", + " The model edge has 37 species and 83 reactions\n", + "\n", + "\n", + "Adding species HCO(15) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " HCO(15)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 18 species and 2 reactions\n", + " The model edge has 36 species and 83 reactions\n", + "\n", + "\n", + "Adding species CH3CHO(16) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3CHO(16)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 19 species and 2 reactions\n", + " The model edge has 35 species and 83 reactions\n", + "\n", + "\n", + "Adding species OH(17) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OH(17)\n", + "Created 0 new edge species\n", + "Moved 4 reactions from edge to core\n", + " OH(17) + H2(6) <=> H(12) + H2O(5)\n", + " H2O(5) <=> H(12) + OH(17)\n", + " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n", + " OH(17) + OH(17) <=> O2(3) + H2(6)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 20 species and 6 reactions\n", + " The model edge has 34 species and 79 reactions\n", + "\n", + "\n", + "Adding species C2H4(18) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H4(18)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 21 species and 6 reactions\n", + " The model edge has 33 species and 79 reactions\n", + "\n", + "\n", + "Adding species CH3CH(19) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3CH(19)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 22 species and 6 reactions\n", + " The model edge has 32 species and 79 reactions\n", + "\n", + "\n", + "Adding species CH3OO(20) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3OO(20)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 23 species and 6 reactions\n", + " The model edge has 31 species and 79 reactions\n", + "\n", + "\n", + "Adding species HX(21) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " HX(21)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + " X(1) + H(12) <=> HX(21)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 24 species and 8 reactions\n", + " The model edge has 30 species and 77 reactions\n", + "\n", + "\n", + "Adding species CO2X(22) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO2X(22)\n", + "Created 0 new edge species\n", + "Moved 1 reactions from edge to core\n", + " X(1) + CO2(4) <=> CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 25 species and 9 reactions\n", + " The model edge has 29 species and 76 reactions\n", + "\n", + "\n", + "Adding species COX(23) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " COX(23)\n", + "Created 0 new edge species\n", + "Moved 1 reactions from edge to core\n", + " X(1) + CO(7) <=> COX(23)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 26 species and 10 reactions\n", + " The model edge has 28 species and 75 reactions\n", + "\n", + "\n", + "Adding species CH4X(24) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH4X(24)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 27 species and 10 reactions\n", + " The model edge has 27 species and 75 reactions\n", + "\n", + "\n", + "Adding species OX(25) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OX(25)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + " OX(25) + COX(23) <=> X(1) + CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 28 species and 12 reactions\n", + " The model edge has 26 species and 73 reactions\n", + "\n", + "\n", + "Adding species CH2X(26) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH2X(26)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 29 species and 12 reactions\n", + " The model edge has 25 species and 73 reactions\n", + "\n", + "\n", + "Adding species CH3X(27) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3X(27)\n", + "Created 0 new edge species\n", + "Moved 3 reactions from edge to core\n", + " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n", + " X(1) + CH3(10) <=> CH3X(27)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 30 species and 15 reactions\n", + " The model edge has 24 species and 70 reactions\n", + "\n", + "\n", + "Adding species CHX(28) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CHX(28)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n", + " HX(21) + COX(23) <=> OX(25) + CHX(28)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 31 species and 17 reactions\n", + " The model edge has 23 species and 68 reactions\n", + "\n", + "\n", + "Adding species CX(29) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CX(29)\n", + "Created 0 new edge species\n", + "Moved 4 reactions from edge to core\n", + " OX(25) + CX(29) <=> X(1) + COX(23)\n", + " X(1) + CHX(28) <=> HX(21) + CX(29)\n", + " H2(6) + CX(29) <=> CH2X(26)\n", + " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 32 species and 21 reactions\n", + " The model edge has 22 species and 64 reactions\n", + "\n", + "\n", + "Adding species H2X(30) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2X(30)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 33 species and 21 reactions\n", + " The model edge has 21 species and 64 reactions\n", + "\n", + "\n", + "Adding species OHX(31) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OHX(31)\n", + "Created 0 new edge species\n", + "Moved 8 reactions from edge to core\n", + " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n", + " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + " OX(25) + HX(21) <=> X(1) + OHX(31)\n", + " X(1) + OH(17) <=> OHX(31)\n", + " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n", + " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n", + " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n", + " HX(21) + COX(23) <=> OHX(31) + CX(29)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 34 species and 29 reactions\n", + " The model edge has 20 species and 56 reactions\n", + "\n", + "\n", + "Adding species H2OX(32) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2OX(32)\n", + "Created 0 new edge species\n", + "Moved 7 reactions from edge to core\n", + " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n", + " X(1) + H2O(5) <=> H2OX(32)\n", + " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n", + " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n", + " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 35 species and 36 reactions\n", + " The model edge has 19 species and 49 reactions\n", + "\n", + "\n", + "Adding species CHOX(33) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CHOX(33)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + HCO(15) <=> CHOX(33)\n", + " X(1) + CHOX(33) <=> HX(21) + COX(23)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 36 species and 38 reactions\n", + " The model edge has 18 species and 47 reactions\n", + "\n", + "\n", + "Initialization complete. Starting model generation.\n", + "\n", + "Generating initial reactions...\n", + "For reaction generation 1 process is used.\n", + "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CO2(4) <=> [O]OO[C]=O(82), Ea raised from 413.6 to 418.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CO2(4) <=> [O]OC([O])=O(83), Ea raised from 298.1 to 300.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H6(8) <=> HO2(50) + C2H5(13), Ea raised from 207.3 to 215.7 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> HO2(50) + HCO(15), Ea raised from 158.7 to 162.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> [CH2]OO[O](84), Ea raised from 358.5 to 363.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> [O]CO[O](85), Ea raised from 172.4 to 176.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47), Ea raised from 178.9 to 195.8 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59), Ea raised from 157.1 to 167.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> C[CH]OO[O](88), Ea raised from 373.4 to 376.8 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> CC([O])O[O](89), Ea raised from 176.0 to 178.9 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + OH(17) <=> O=O(90) + OH(17), Ea raised from 94.3 to 94.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60), Ea raised from 251.1 to 256.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CO2(4) <=> O=C1OOC1=O(97), Ea raised from 333.9 to 341.4 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH2O(9) <=> O=C1COO1(106), Ea raised from 264.6 to 271.9 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction H(12) + CO2(4) <=> HCOO(38), Ea raised from 47.9 to 52.0 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129), Ea raised from 271.9 to 279.8 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH2O(9) + CH2O(9) <=> C1COO1(169), Ea raised from 222.9 to 224.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n", + "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227), Ea raised from 83.9 to 85.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246), Ea raised from 247.3 to 247.4 kJ/mol to match endothermicity of reaction.\n", + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 201 new edge species\n", + " [CH2](52)\n", + " C[CH]C(53)\n", + " [CH2]CC(54)\n", + " [CH2][CH2](55)\n", + " [CH2]C[O](56)\n", + " C=CO(57)\n", + " [CH2]C=O(58)\n", + " C[C]=O(59)\n", + " [CH]=C(60)\n", + " [CH]C(61)\n", + " [CH][CH2](62)\n", + " [CH2]O[O](63)\n", + " C[CH2][Pt](64)\n", + " CC.[Pt](65)\n", + " C[CH](C)[Pt](66)\n", + " CC[CH2][Pt](67)\n", + " CCC.[Pt](68)\n", + " O=C[CH2][Pt](69)\n", + " C[C](=O)[Pt](70)\n", + " C[CH]=[Pt](71)\n", + " CC=O.[Pt](72)\n", + " C=[CH][Pt](73)\n", + " C=C.[Pt](74)\n", + " CO[O][Pt](75)\n", + " COC=O(76)\n", + " CC(=O)O(77)\n", + " [CH]O(78)\n", + " C[CH]O(79)\n", + " CC[O](80)\n", + " COO(81)\n", + " [O]OO[C]=O(82)\n", + " [O]OC([O])=O(83)\n", + " [CH2]OO[O](84)\n", + " [O]CO[O](85)\n", + " CCO[O](86)\n", + " [O]OC=O(87)\n", + " C[CH]OO[O](88)\n", + " CC([O])O[O](89)\n", + " O=O(90)\n", + " [CH2]CO[O](91)\n", + " C[CH]O[O](92)\n", + " COOO[O](93)\n", + " [O]C(=O)C([O])=O(94)\n", + " [O]C(=O)O[C]=O(95)\n", + " O=[C]OO[C]=O(96)\n", + " O=C1OOC1=O(97)\n", + " O=CO(98)\n", + " COC(C)=O(99)\n", + " CCOC=O(100)\n", + " CCC(=O)O(101)\n", + " [O]CC([O])=O(102)\n", + " [CH2]OC([O])=O(103)\n", + " [O]CO[C]=O(104)\n", + " [CH2]OO[C]=O(105)\n", + " O=C1COO1(106)\n", + " CO[C]=O(107)\n", + " CC([O])=O(108)\n", + " CCOC(C)=O(109)\n", + " CC(C)OC=O(110)\n", + " CCC(=O)OC(111)\n", + " CCCOC=O(112)\n", + " CC(C)C(=O)O(113)\n", + " CCCC(=O)O(114)\n", + " [CH2]COC=O(115)\n", + " [CH2]CC(=O)O(116)\n", + " CCO[C]=O(117)\n", + " CCC([O])=O(118)\n", + " O=COCO(119)\n", + " O=C(O)CO(120)\n", + " O=[C]OC=O(121)\n", + " [O]C(=O)C=O(122)\n", + " O=CCOC=O(123)\n", + " O=CCC(=O)O(124)\n", + " CC([O])C([O])=O(125)\n", + " C[CH]OC([O])=O(126)\n", + " CC([O])O[C]=O(127)\n", + " C[CH]OO[C]=O(128)\n", + " CC1OOC1=O(129)\n", + " C=COOC=O(130)\n", + " C=COC(=O)O(131)\n", + " [O]C(=O)O(132)\n", + " C=COC=O(133)\n", + " C=CC(=O)O(134)\n", + " [CH2]CC([O])=O(135)\n", + " [CH2]CO[C]=O(136)\n", + " O=C1CCO1(137)\n", + " [CH]COC=O(138)\n", + " [CH]CC(=O)O(139)\n", + " [C]C(140)\n", + " C[CH]O[C]=O(141)\n", + " CC=C([O])[O](142)\n", + " [O]OCOC=O(143)\n", + " [O]OCC(=O)O(144)\n", + " COOO[C]=O(145)\n", + " COOC([O])=O(146)\n", + " CCO(147)\n", + " CCC=O(148)\n", + " CC(C)=O(149)\n", + " O=CC=O(150)\n", + " CC(C)C=O(151)\n", + " CCCC=O(152)\n", + " CCC(C)=O(153)\n", + " [CH2]CC=O(154)\n", + " CC[C]=O(155)\n", + " O=CCO(156)\n", + " O=[C]C=O(157)\n", + " O=CCC=O(158)\n", + " CC(=O)C=O(159)\n", + " [CH-]=[O+]OC=C(160)\n", + " C=C[O+]=[C-]O(161)\n", + " C=CC=O(162)\n", + " [CH]CC=O(163)\n", + " [O]OCC=O(164)\n", + " COO[C]=O(165)\n", + " [O]CC[O](166)\n", + " [CH2]OC[O](167)\n", + " [CH2]OO[CH2](168)\n", + " C1COO1(169)\n", + " [CH2]OC(170)\n", + " [CH2]OCC(171)\n", + " CCC[O](172)\n", + " [CH2]OC=O(173)\n", + " [O]CC=O(174)\n", + " CC([O])C[O](175)\n", + " C[CH]OC[O](176)\n", + " [CH2]OC(C)[O](177)\n", + " [CH2]OO[CH]C(178)\n", + " CC1COO1(179)\n", + " C=COOC(180)\n", + " C=COCO(181)\n", + " [O]CO(182)\n", + " [CH2]CC[O](183)\n", + " [CH2]CO[CH2](184)\n", + " C1COC1(185)\n", + " [CH2]O[CH]C(186)\n", + " C[CH]C[O](187)\n", + " [CH2]OOOC(188)\n", + " COOC[O](189)\n", + " C[CH]OC(190)\n", + " CC(C)[O](191)\n", + " COOC(192)\n", + " CCCC(193)\n", + " C[CH]OCC(194)\n", + " CCC(C)[O](195)\n", + " [CH2]CCC(196)\n", + " C[CH]CC(197)\n", + " CCOOC(198)\n", + " CCOC(199)\n", + " CCCO(200)\n", + " C[CH]OC=O(201)\n", + " CC([O])C=O(202)\n", + " C[CH]C=O(203)\n", + " COOC=O(204)\n", + " CC([O])C(C)[O](205)\n", + " C[CH]OC(C)[O](206)\n", + " C[CH]OO[CH]C(207)\n", + " CC1OOC1C(208)\n", + " C=COOCC(209)\n", + " C=COC(C)O(210)\n", + " CC([O])O(211)\n", + " [CH2]CC(C)[O](212)\n", + " [CH2]CO[CH]C(213)\n", + " CC1CCO1(214)\n", + " C=COCC(215)\n", + " C[CH]O[CH]C(216)\n", + " C[CH]C(C)[O](217)\n", + " C[CH]OOOC(218)\n", + " COOC(C)[O](219)\n", + " [CH2]CO(220)\n", + " COOO(221)\n", + " [CH2]CC[CH2](222)\n", + " [CH2]C[CH]C(223)\n", + " [CH2]COOC(224)\n", + " C[CH]OOC(225)\n", + " COOOOC(226)\n", + " O=C[O][Pt](227)\n", + " O[C]#[Pt](228)\n", + " O[CH]=[Pt](229)\n", + " CC(=O)[O][Pt](230)\n", + " CO[C](=O)[Pt](231)\n", + " O=C(O)[O][Pt](232)\n", + " O=[C]([Pt])OO(233)\n", + " O=CC(=O)[O][Pt](234)\n", + " O=CO[C](=O)[Pt](235)\n", + " O=C=C=O(236)\n", + " O=C=C=O.[Pt](237)\n", + " C=C=O(238)\n", + " C=C=O.[Pt](239)\n", + " O=C=[CH][Pt](240)\n", + " O=C=[C]=[Pt](241)\n", + " OO[C]#[Pt](242)\n", + " O=C[C](=O)[Pt](243)\n", + " C[C]#[Pt](244)\n", + " O=O.[Pt](245)\n", + " O[O][Pt](246)\n", + " C=[C]=[Pt](247)\n", + " O=C[CH]=[Pt](248)\n", + " O=C[C]#[Pt](249)\n", + " OO[CH]=[Pt](250)\n", + " O=CO.[Pt](251)\n", + " O=CC=O.[Pt](252)\n", + "Added 71 new core reactions\n", + " H(12) + CH3(10) <=> CH4(2)\n", + " CH3(10) + CH3(10) <=> C2H6(8)\n", + " H(12) + C2H5(13) <=> C2H6(8)\n", + " H2(6) + CO(7) <=> CH2O(9)\n", + " H(12) + HCO(15) <=> CH2O(9)\n", + " CH3(10) + C2H5(13) <=> C3H8(11)\n", + " H(12) + CH3CH(19) <=> C2H5(13)\n", + " H(12) + C2H4(18) <=> C2H5(13)\n", + " OH(17) + CH3(10) <=> CH3OH(14)\n", + " H(12) + CO(7) <=> HCO(15)\n", + " CO(7) + CH4(2) <=> CH3CHO(16)\n", + " HCO(15) + CH3(10) <=> CH3CHO(16)\n", + " CH3OO(20) <=> O2(3) + CH3(10)\n", + " CH3OO(20) <=> OH(17) + CH2O(9)\n", + " X(1) + CH4(2) <=> CH4X(24)\n", + " X(1) + H2(6) <=> H2X(30)\n", + " X(1) + X(1) + CO2(4) <=> OX(25) + COX(23)\n", + " X(1) + X(1) + H2O(5) <=> HX(21) + OHX(31)\n", + " X(1) + X(1) + C2H6(8) <=> CH3X(27) + CH3X(27)\n", + " X(1) + X(1) + CH2O(9) <=> HX(21) + CHOX(33)\n", + " X(1) + X(1) + CH2O(9) <=> OX(25) + CH2X(26)\n", + " X(1) + X(1) + CH3OH(14) <=> OHX(31) + CH3X(27)\n", + " X(1) + X(1) + CH3CHO(16) <=> CHOX(33) + CH3X(27)\n", + " X(1) + X(1) + C2H4(18) <=> CH2X(26) + CH2X(26)\n", + " X(1) + CH4X(24) <=> HX(21) + CH3X(27)\n", + " X(1) + CHOX(33) <=> OX(25) + CHX(28)\n", + " HCO(15) + CH3(10) <=> CO(7) + CH4(2)\n", + " H(12) + CH4(2) <=> H2(6) + CH3(10)\n", + " CH3(10) + C2H6(8) <=> CH4(2) + C2H5(13)\n", + " HCO(15) + CH4(2) <=> CH2O(9) + CH3(10)\n", + " OH(17) + CH4(2) <=> H2O(5) + CH3(10)\n", + " CH3(10) + C2H5(13) <=> CH4(2) + C2H4(18)\n", + " CH4(2) + CH3CH(19) <=> CH3(10) + C2H5(13)\n", + " OH(17) + HCO(15) <=> H2O(5) + CO(7)\n", + " OH(17) + C2H6(8) <=> H2O(5) + C2H5(13)\n", + " OH(17) + CH2O(9) <=> H2O(5) + HCO(15)\n", + " OH(17) + C2H5(13) <=> H2O(5) + C2H4(18)\n", + " OH(17) + C2H5(13) <=> H2O(5) + CH3CH(19)\n", + " H(12) + HCO(15) <=> H2(6) + CO(7)\n", + " H(12) + C2H6(8) <=> H2(6) + C2H5(13)\n", + " H2(6) + HCO(15) <=> H(12) + CH2O(9)\n", + " H(12) + C2H5(13) <=> H2(6) + C2H4(18)\n", + " H2(6) + CH3CH(19) <=> H(12) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CO(7) + C2H6(8)\n", + " HCO(15) + HCO(15) <=> CO(7) + CH2O(9)\n", + " HCO(15) + CH3CH(19) <=> CO(7) + C2H5(13)\n", + " HCO(15) + C2H6(8) <=> CH2O(9) + C2H5(13)\n", + " C2H5(13) + C2H5(13) <=> C2H4(18) + C2H6(8)\n", + " CH3CH(19) + C2H6(8) <=> C2H5(13) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CH2O(9) + C2H4(18)\n", + " CH2O(9) + CH3CH(19) <=> HCO(15) + C2H5(13)\n", + " CH3CH(19) + C2H5(13) <=> C2H4(18) + C2H5(13)\n", + " H2X(30) + CHX(28) <=> HX(21) + CH2X(26)\n", + " H2X(30) + CH2X(26) <=> HX(21) + CH3X(27)\n", + " H2X(30) + CX(29) <=> HX(21) + CHX(28)\n", + " OX(25) + H2X(30) <=> HX(21) + OHX(31)\n", + " H2X(30) + COX(23) <=> HX(21) + CHOX(33)\n", + " COX(23) + CH4X(24) <=> CHOX(33) + CH3X(27)\n", + " CHX(28) + CHOX(33) <=> COX(23) + CH2X(26)\n", + " CHOX(33) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " CX(29) + CHOX(33) <=> COX(23) + CHX(28)\n", + " OX(25) + CHOX(33) <=> OHX(31) + COX(23)\n", + " OHX(31) + CHOX(33) <=> H2OX(32) + COX(23)\n", + " OX(25) + CH4X(24) <=> OHX(31) + CH3X(27)\n", + " CH2X(26) + CH4X(24) <=> CH3X(27) + CH3X(27)\n", + " CHX(28) + CH4X(24) <=> CH2X(26) + CH3X(27)\n", + " CX(29) + CH4X(24) <=> CHX(28) + CH3X(27)\n", + " OHX(31) + CH4X(24) <=> H2OX(32) + CH3X(27)\n", + " CH2X(26) + CH2X(26) <=> CHX(28) + CH3X(27)\n", + " CX(29) + CH3X(27) <=> CHX(28) + CH2X(26)\n", + " CX(29) + CH2X(26) <=> CHX(28) + CHX(28)\n", + "Created 566 new edge reactions\n", + " H2(6) + [CH2](52) <=> CH4(2)\n", + " [CH2](52) + CH4(2) <=> C2H6(8)\n", + " H(12) + CH2(42) <=> CH3(10)\n", + " [CH2](52) + C2H6(8) <=> C3H8(11)\n", + " [CH2](52) + C2H6(8) <=> C3H8(11)\n", + " H(12) + C[CH]C(53) <=> C3H8(11)\n", + " H(12) + [CH2]CC(54) <=> C3H8(11)\n", + " CH2(42) + CH3(10) <=> C2H5(13)\n", + " H(12) + [CH2][CH2](55) <=> C2H5(13)\n", + " H2O(5) + [CH2](52) <=> CH3OH(14)\n", + " H(12) + CH3O(44) <=> CH3OH(14)\n", + " H(12) + CH2OH(47) <=> CH3OH(14)\n", + " H(12) + CO(35) <=> HCO(15)\n", + " [CH2]C[O](56) <=> CH3CHO(16)\n", + " C=CO(57) <=> CH3CHO(16)\n", + " H(12) + [CH2]C=O(58) <=> CH3CHO(16)\n", + " H(12) + C[C]=O(59) <=> CH3CHO(16)\n", + " H(12) + [CH]=C(60) <=> C2H4(18)\n", + " [CH]C(61) <=> C2H4(18)\n", + " H(12) + [CH][CH2](62) <=> CH3CH(19)\n", + " HO2(50) + [CH2](52) <=> CH3OO(20)\n", + " O(34) + CH3O(44) <=> CH3OO(20)\n", + " H(12) + [CH2]O[O](63) <=> CH3OO(20)\n", + " X(1) + X(1) + C2H6(8) <=> HX(21) + C[CH2][Pt](64)\n", + " X(1) + C2H6(8) <=> CC.[Pt](65)\n", + " X(1) + X(1) + C3H8(11) <=> CH3X(27) + C[CH2][Pt](64)\n", + " X(1) + X(1) + C3H8(11) <=> HX(21) + C[CH](C)[Pt](66)\n", + " X(1) + X(1) + C3H8(11) <=> HX(21) + CC[CH2][Pt](67)\n", + " X(1) + C3H8(11) <=> CCC.[Pt](68)\n", + " X(1) + C2H5(13) <=> C[CH2][Pt](64)\n", + " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH3O_X(45)\n", + " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH2OH_X(48)\n", + " X(1) + X(1) + CH3CHO(16) <=> HX(21) + O=C[CH2][Pt](69)\n", + " X(1) + X(1) + CH3CHO(16) <=> HX(21) + C[C](=O)[Pt](70)\n", + " X(1) + X(1) + CH3CHO(16) <=> OX(25) + C[CH]=[Pt](71)\n", + " X(1) + CH3CHO(16) <=> CC=O.[Pt](72)\n", + " X(1) + X(1) + C2H4(18) <=> HX(21) + C=[CH][Pt](73)\n", + " X(1) + C2H4(18) <=> C=C.[Pt](74)\n", + " X(1) + CH3OO(20) <=> CO[O][Pt](75)\n", + " O2(3) + CH4(2) <=> HO2(50) + CH3(10)\n", + " CO2(4) + CH4(2) <=> COC=O(76)\n", + " CO2(4) + CH4(2) <=> CC(=O)O(77)\n", + " COOH(36) + CH3(10) <=> CO2(4) + CH4(2)\n", + " HCOO(38) + CH3(10) <=> CO2(4) + CH4(2)\n", + " CH3(10) + CH2OH(47) <=> CH2O(9) + CH4(2)\n", + " CH3(10) + CH3O(44) <=> CH2O(9) + CH4(2)\n", + " [CH]O(78) + CH3(10) <=> HCO(15) + CH4(2)\n", + " CH3(10) + C[CH]O(79) <=> CH4(2) + CH3CHO(16)\n", + " CH3(10) + CC[O](80) <=> CH4(2) + CH3CHO(16)\n", + " CH3OO(20) + CH4(2) <=> CH3(10) + COO(81)\n", + " O2(3) + CO2(4) <=> [O]OO[C]=O(82)\n", + " O2(3) + CO2(4) <=> [O]OC([O])=O(83)\n", + " O2(3) + C2H6(8) <=> HO2(50) + C2H5(13)\n", + " O2(3) + CH2O(9) <=> HO2(50) + HCO(15)\n", + " O2(3) + CH2O(9) <=> [CH2]OO[O](84)\n", + " O2(3) + CH2O(9) <=> [O]CO[O](85)\n", + " HO2(50) + CH2(42) <=> O2(3) + CH3(10)\n", + " O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53)\n", + " HO2(50) + [CH2]CC(54) <=> O2(3) + C3H8(11)\n", + " O2(3) + C2H5(13) <=> HO2(50) + C2H4(18)\n", + " HO2(50) + CH3CH(19) <=> O2(3) + C2H5(13)\n", + " CCO[O](86) <=> O2(3) + C2H5(13)\n", + " HO2(50) + CH3O(44) <=> O2(3) + CH3OH(14)\n", + " O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47)\n", + " O2(3) + HCO(15) <=> HO2(50) + CO(7)\n", + " HO2(50) + CO(35) <=> O2(3) + HCO(15)\n", + " O2(3) + HCO(15) <=> [O]OC=O(87)\n", + " HO2(50) + [CH2]C=O(58) <=> O2(3) + CH3CHO(16)\n", + " O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59)\n", + " O2(3) + CH3CHO(16) <=> C[CH]OO[O](88)\n", + " O2(3) + CH3CHO(16) <=> CC([O])O[O](89)\n", + " O2(3) + OH(17) <=> O=O(90) + OH(17)\n", + " O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60)\n", + " O2(3) + C2H4(18) <=> [CH2]CO[O](91)\n", + " O2(3) + CH3CH(19) <=> C[CH]O[O](92)\n", + " O2(3) + CH3CH(19) <=> HO2(50) + [CH]=C(60)\n", + " HO2(50) + [CH][CH2](62) <=> O2(3) + CH3CH(19)\n", + " O2(3) + CH3OO(20) <=> HO2(50) + [CH2]O[O](63)\n", + " O2(3) + CH3OO(20) <=> COOO[O](93)\n", + " [O]C(=O)C([O])=O(94) <=> CO2(4) + CO2(4)\n", + " [O]C(=O)O[C]=O(95) <=> CO2(4) + CO2(4)\n", + " O=[C]OO[C]=O(96) <=> CO2(4) + CO2(4)\n", + " CO2(4) + CO2(4) <=> O=C1OOC1=O(97)\n", + " OH(17) + COOH(36) <=> H2O(5) + CO2(4)\n", + " OH(17) + HCOO(38) <=> H2O(5) + CO2(4)\n", + " H2(6) + CO2(4) <=> O=CO(98)\n", + " H(12) + COOH(36) <=> H2(6) + CO2(4)\n", + " H(12) + HCOO(38) <=> H2(6) + CO2(4)\n", + " CO2(4) + C2H6(8) <=> COC(C)=O(99)\n", + " CO2(4) + C2H6(8) <=> CCOC=O(100)\n", + " CO2(4) + C2H6(8) <=> CCC(=O)O(101)\n", + " COOH(36) + C2H5(13) <=> CO2(4) + C2H6(8)\n", + " HCOO(38) + C2H5(13) <=> CO2(4) + C2H6(8)\n", + " [O]CC([O])=O(102) <=> CO2(4) + CH2O(9)\n", + " [CH2]OC([O])=O(103) <=> CO2(4) + CH2O(9)\n", + " [O]CO[C]=O(104) <=> CO2(4) + CH2O(9)\n", + " [CH2]OO[C]=O(105) <=> CO2(4) + CH2O(9)\n", + " CO2(4) + CH2O(9) <=> O=C1COO1(106)\n", + " HCO(15) + COOH(36) <=> CO2(4) + CH2O(9)\n", + " HCO(15) + HCOO(38) <=> CO2(4) + CH2O(9)\n", + " COOH(36) + CH2(42) <=> CO2(4) + CH3(10)\n", + " HCOO(38) + CH2(42) <=> CO2(4) + CH3(10)\n", + " CO2(4) + CH3(10) <=> CO[C]=O(107)\n", + " CO2(4) + CH3(10) <=> CC([O])=O(108)\n", + " CO2(4) + C3H8(11) <=> CCOC(C)=O(109)\n", + " CO2(4) + C3H8(11) <=> CC(C)OC=O(110)\n", + " CO2(4) + C3H8(11) <=> CCC(=O)OC(111)\n", + " CO2(4) + C3H8(11) <=> CCCOC=O(112)\n", + " CO2(4) + C3H8(11) <=> CC(C)C(=O)O(113)\n", + " CO2(4) + C3H8(11) <=> CCCC(=O)O(114)\n", + " COOH(36) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n", + " COOH(36) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n", + " HCOO(38) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n", + " HCOO(38) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n", + " H(12) + CO2(4) <=> COOH(36)\n", + " H(12) + CO2(4) <=> HCOO(38)\n", + " CO2(4) + C2H5(13) <=> [CH2]COC=O(115)\n", + " CO2(4) + C2H5(13) <=> [CH2]CC(=O)O(116)\n", + " COOH(36) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n", + " COOH(36) + CH3CH(19) <=> CO2(4) + C2H5(13)\n", + " HCOO(38) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n", + " HCOO(38) + CH3CH(19) <=> CO2(4) + C2H5(13)\n", + " CO2(4) + C2H5(13) <=> CCO[C]=O(117)\n", + " CO2(4) + C2H5(13) <=> CCC([O])=O(118)\n", + " CO2(4) + CH3OH(14) <=> O=COCO(119)\n", + " CO2(4) + CH3OH(14) <=> O=C(O)CO(120)\n", + " COOH(36) + CH3O(44) <=> CO2(4) + CH3OH(14)\n", + " COOH(36) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n", + " HCOO(38) + CH3O(44) <=> CO2(4) + CH3OH(14)\n", + " HCOO(38) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n", + " CO(35) + COOH(36) <=> CO2(4) + HCO(15)\n", + " CO(35) + HCOO(38) <=> CO2(4) + HCO(15)\n", + " CO2(4) + HCO(15) <=> O=[C]OC=O(121)\n", + " CO2(4) + HCO(15) <=> [O]C(=O)C=O(122)\n", + " CO2(4) + CH3CHO(16) <=> O=CCOC=O(123)\n", + " CO2(4) + CH3CHO(16) <=> O=CCC(=O)O(124)\n", + " CC([O])C([O])=O(125) <=> CO2(4) + CH3CHO(16)\n", + " C[CH]OC([O])=O(126) <=> CO2(4) + CH3CHO(16)\n", + " CC([O])O[C]=O(127) <=> CO2(4) + CH3CHO(16)\n", + " C[CH]OO[C]=O(128) <=> CO2(4) + CH3CHO(16)\n", + " CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129)\n", + " COOH(36) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n", + " COOH(36) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n", + " HCOO(38) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n", + " HCOO(38) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n", + " C=COOC=O(130) <=> CO2(4) + CH3CHO(16)\n", + " C=COC(=O)O(131) <=> CO2(4) + CH3CHO(16)\n", + " O(34) + COOH(36) <=> OH(17) + CO2(4)\n", + " O(34) + HCOO(38) <=> OH(17) + CO2(4)\n", + " OH(17) + CO2(4) <=> [O]C(=O)O(132)\n", + " CO2(4) + C2H4(18) <=> C=COC=O(133)\n", + " CO2(4) + C2H4(18) <=> C=CC(=O)O(134)\n", + " [CH2]CC([O])=O(135) <=> CO2(4) + C2H4(18)\n", + " [CH2]CO[C]=O(136) <=> CO2(4) + C2H4(18)\n", + " CO2(4) + C2H4(18) <=> O=C1CCO1(137)\n", + " COOH(36) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n", + " HCOO(38) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n", + " CO2(4) + CH3CH(19) <=> [CH]COC=O(138)\n", + " CO2(4) + CH3CH(19) <=> [CH]CC(=O)O(139)\n", + " COOH(36) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n", + " COOH(36) + [C]C(140) <=> CO2(4) + CH3CH(19)\n", + " HCOO(38) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n", + " HCOO(38) + [C]C(140) <=> CO2(4) + CH3CH(19)\n", + " CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141)\n", + " CO2(4) + CH3CH(19) <=> CC=C([O])[O](142)\n", + " CO2(4) + CH3OO(20) <=> [O]OCOC=O(143)\n", + " CO2(4) + CH3OO(20) <=> [O]OCC(=O)O(144)\n", + " COOH(36) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n", + " HCOO(38) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n", + " CO2(4) + CH3OO(20) <=> COOO[C]=O(145)\n", + " CO2(4) + CH3OO(20) <=> COOC([O])=O(146)\n", + " H2O(5) + CO(7) <=> O=CO(98)\n", + " OH(17) + CH2OH(47) <=> H2O(5) + CH2O(9)\n", + " OH(17) + CH3O(44) <=> H2O(5) + CH2O(9)\n", + " OH(17) + [CH]O(78) <=> H2O(5) + HCO(15)\n", + " OH(17) + C[CH]O(79) <=> H2O(5) + CH3CHO(16)\n", + " OH(17) + CC[O](80) <=> H2O(5) + CH3CHO(16)\n", + " H2O(5) + C2H4(18) <=> CCO(147)\n", + " OH(17) + COO(81) <=> H2O(5) + CH3OO(20)\n", + " H(12) + CH2OH(47) <=> H2(6) + CH2O(9)\n", + " H(12) + CH3O(44) <=> H2(6) + CH2O(9)\n", + " H(12) + [CH]O(78) <=> H2(6) + HCO(15)\n", + " H(12) + C[CH]O(79) <=> H2(6) + CH3CHO(16)\n", + " H(12) + CC[O](80) <=> H2(6) + CH3CHO(16)\n", + " H(12) + COO(81) <=> H2(6) + CH3OO(20)\n", + " CO(7) + C2H6(8) <=> CCC=O(148)\n", + " CO(7) + C2H6(8) <=> CC(C)=O(149)\n", + " CO(7) + CH2O(9) <=> O=CC=O(150)\n", + " HCO(15) + CH2(42) <=> CO(7) + CH3(10)\n", + " CO(7) + CH3(10) <=> C[C]=O(59)\n", + " CO(7) + C3H8(11) <=> CC(C)C=O(151)\n", + " CO(7) + C3H8(11) <=> CCCC=O(152)\n", + " CO(7) + C3H8(11) <=> CCC(C)=O(153)\n", + " HCO(15) + C[CH]C(53) <=> CO(7) + C3H8(11)\n", + " HCO(15) + [CH2]CC(54) <=> CO(7) + C3H8(11)\n", + " CO(7) + C2H5(13) <=> [CH2]CC=O(154)\n", + " HCO(15) + [CH2][CH2](55) <=> CO(7) + C2H5(13)\n", + " CC[C]=O(155) <=> CO(7) + C2H5(13)\n", + " CO(7) + CH3OH(14) <=> COC=O(76)\n", + " CO(7) + CH3OH(14) <=> O=CCO(156)\n", + " HCO(15) + CH3O(44) <=> CO(7) + CH3OH(14)\n", + " HCO(15) + CH2OH(47) <=> CO(7) + CH3OH(14)\n", + " CO(35) + HCO(15) <=> CO(7) + HCO(15)\n", + " CO(7) + HCO(15) <=> O=[C]C=O(157)\n", + " CO(7) + CH3CHO(16) <=> O=CCC=O(158)\n", + " CO(7) + CH3CHO(16) <=> CC(=O)C=O(159)\n", + " HCO(15) + [CH2]C=O(58) <=> CO(7) + CH3CHO(16)\n", + " HCO(15) + C[C]=O(59) <=> CO(7) + CH3CHO(16)\n", + " [CH-]=[O+]OC=C(160) <=> CO(7) + CH3CHO(16)\n", + " C=C[O+]=[C-]O(161) <=> CO(7) + CH3CHO(16)\n", + " O(34) + HCO(15) <=> OH(17) + CO(7)\n", + " OH(17) + CO(7) <=> COOH(36)\n", + " CO(7) + C2H4(18) <=> C=CC=O(162)\n", + " HCO(15) + [CH]=C(60) <=> CO(7) + C2H4(18)\n", + " CO(7) + CH3CH(19) <=> [CH]CC=O(163)\n", + " HCO(15) + [CH][CH2](62) <=> CO(7) + CH3CH(19)\n", + " HCO(15) + [C]C(140) <=> CO(7) + CH3CH(19)\n", + " CO(7) + CH3OO(20) <=> [O]OCC=O(164)\n", + " HCO(15) + [CH2]O[O](63) <=> CO(7) + CH3OO(20)\n", + " CO(7) + CH3OO(20) <=> COO[C]=O(165)\n", + " CH2OH(47) + C2H5(13) <=> CH2O(9) + C2H6(8)\n", + " CH3O(44) + C2H5(13) <=> CH2O(9) + C2H6(8)\n", + " [CH]O(78) + C2H5(13) <=> HCO(15) + C2H6(8)\n", + " C2H5(13) + C[CH]O(79) <=> CH3CHO(16) + C2H6(8)\n", + " C2H5(13) + CC[O](80) <=> CH3CHO(16) + C2H6(8)\n", + " CH3OO(20) + C2H6(8) <=> COO(81) + C2H5(13)\n", + " [O]CC[O](166) <=> CH2O(9) + CH2O(9)\n", + " [CH2]OC[O](167) <=> CH2O(9) + CH2O(9)\n", + " [CH2]OO[CH2](168) <=> CH2O(9) + CH2O(9)\n", + " CH2O(9) + CH2O(9) <=> C1COO1(169)\n", + " HCO(15) + CH2OH(47) <=> CH2O(9) + CH2O(9)\n", + " HCO(15) + CH3O(44) <=> CH2O(9) + CH2O(9)\n", + " CH2(42) + CH2OH(47) <=> CH2O(9) + CH3(10)\n", + " CH2(42) + CH3O(44) <=> CH2O(9) + CH3(10)\n", + " CH2O(9) + CH3(10) <=> [CH2]OC(170)\n", + " CH2O(9) + CH3(10) <=> CC[O](80)\n", + " CH2OH(47) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n", + " CH2OH(47) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n", + " CH3O(44) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n", + " CH3O(44) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n", + " H(12) + CH2O(9) <=> CH2OH(47)\n", + " H(12) + CH2O(9) <=> CH3O(44)\n", + " CH2OH(47) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n", + " CH2OH(47) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n", + " CH3O(44) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n", + " CH3O(44) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n", + " CH2O(9) + C2H5(13) <=> [CH2]OCC(171)\n", + " CH2O(9) + C2H5(13) <=> CCC[O](172)\n", + " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " CH2OH(47) + CH2OH(47) <=> CH2O(9) + CH3OH(14)\n", + " CH3O(44) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " HCO(15) + [CH]O(78) <=> HCO(15) + CH2O(9)\n", + " CO(35) + CH2OH(47) <=> HCO(15) + CH2O(9)\n", + " CO(35) + CH3O(44) <=> HCO(15) + CH2O(9)\n", + " HCO(15) + CH2O(9) <=> [CH2]OC=O(173)\n", + " HCO(15) + CH2O(9) <=> [O]CC=O(174)\n", + " CC([O])C[O](175) <=> CH2O(9) + CH3CHO(16)\n", + " C[CH]OC[O](176) <=> CH2O(9) + CH3CHO(16)\n", + " [CH2]OC(C)[O](177) <=> CH2O(9) + CH3CHO(16)\n", + " [CH2]OO[CH]C(178) <=> CH2O(9) + CH3CHO(16)\n", + " CH2O(9) + CH3CHO(16) <=> CC1COO1(179)\n", + " HCO(15) + C[CH]O(79) <=> CH2O(9) + CH3CHO(16)\n", + " HCO(15) + CC[O](80) <=> CH2O(9) + CH3CHO(16)\n", + " CH2OH(47) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n", + " CH2OH(47) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n", + " CH3O(44) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n", + " CH3O(44) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n", + " C=COOC(180) <=> CH2O(9) + CH3CHO(16)\n", + " C=COCO(181) <=> CH2O(9) + CH3CHO(16)\n", + " O(34) + CH2OH(47) <=> OH(17) + CH2O(9)\n", + " O(34) + CH3O(44) <=> OH(17) + CH2O(9)\n", + " OH(17) + CH2O(9) <=> [O]CO(182)\n", + " [CH2]CC[O](183) <=> CH2O(9) + C2H4(18)\n", + " [CH2]CO[CH2](184) <=> CH2O(9) + C2H4(18)\n", + " CH2O(9) + C2H4(18) <=> C1COC1(185)\n", + " CH2OH(47) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n", + " CH3O(44) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n", + " CH2OH(47) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n", + " CH2OH(47) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n", + " CH3O(44) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n", + " CH3O(44) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n", + " CH2O(9) + CH3CH(19) <=> [CH2]O[CH]C(186)\n", + " CH2O(9) + CH3CH(19) <=> C[CH]C[O](187)\n", + " [CH2]O[O](63) + CH2OH(47) <=> CH2O(9) + CH3OO(20)\n", + " [CH2]O[O](63) + CH3O(44) <=> CH2O(9) + CH3OO(20)\n", + " HCO(15) + COO(81) <=> CH2O(9) + CH3OO(20)\n", + " CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188)\n", + " CH2O(9) + CH3OO(20) <=> COOC[O](189)\n", + " CH2(42) + CH4(2) <=> CH3(10) + CH3(10)\n", + " CH4(2) + C[CH]C(53) <=> CH3(10) + C3H8(11)\n", + " CH3(10) + C3H8(11) <=> CH4(2) + [CH2]CC(54)\n", + " H2(6) + CH2(42) <=> H(12) + CH3(10)\n", + " CH2(42) + C2H6(8) <=> CH3(10) + C2H5(13)\n", + " CH3O(44) + CH4(2) <=> CH3(10) + CH3OH(14)\n", + " CH3(10) + CH3OH(14) <=> CH2OH(47) + CH4(2)\n", + " CH2(42) + [CH]O(78) <=> HCO(15) + CH3(10)\n", + " CH2(42) + CH2O(9) <=> HCO(15) + CH3(10)\n", + " CO(35) + CH4(2) <=> HCO(15) + CH3(10)\n", + " CH2(42) + C[CH]O(79) <=> CH3(10) + CH3CHO(16)\n", + " CH2(42) + CC[O](80) <=> CH3(10) + CH3CHO(16)\n", + " CH3(10) + CH3CHO(16) <=> CH4(2) + [CH2]C=O(58)\n", + " CH3(10) + CH3CHO(16) <=> CH4(2) + C[C]=O(59)\n", + " CH3(10) + CH3CHO(16) <=> C[CH]OC(190)\n", + " CH3(10) + CH3CHO(16) <=> CC(C)[O](191)\n", + " OH(17) + CH3(10) <=> H2O(5) + CH2(42)\n", + " O(34) + CH4(2) <=> OH(17) + CH3(10)\n", + " CH2(42) + C2H5(13) <=> CH3(10) + C2H4(18)\n", + " CH4(2) + [CH]=C(60) <=> CH3(10) + C2H4(18)\n", + " CH3(10) + C2H4(18) <=> [CH2]CC(54)\n", + " CH3(10) + CH3CH(19) <=> C[CH]C(53)\n", + " CH3(10) + CH3CH(19) <=> CH4(2) + [CH]=C(60)\n", + " CH2(42) + C2H5(13) <=> CH3(10) + CH3CH(19)\n", + " CH3(10) + CH3CH(19) <=> CH4(2) + [CH][CH2](62)\n", + " CH2(42) + COO(81) <=> CH3(10) + CH3OO(20)\n", + " CH3(10) + CH3OO(20) <=> [CH2]O[O](63) + CH4(2)\n", + " CH3(10) + CH3OO(20) <=> COOC(192)\n", + " H2(6) + C[CH]C(53) <=> H(12) + C3H8(11)\n", + " H(12) + C3H8(11) <=> H2(6) + [CH2]CC(54)\n", + " C2H6(8) + C[CH]C(53) <=> C2H5(13) + C3H8(11)\n", + " C2H6(8) + [CH2]CC(54) <=> C2H5(13) + C3H8(11)\n", + " [CH]O(78) + C[CH]C(53) <=> HCO(15) + C3H8(11)\n", + " [CH]O(78) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n", + " HCO(15) + C3H8(11) <=> CH2O(9) + C[CH]C(53)\n", + " CH2O(9) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n", + " C[CH]O(79) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n", + " CC[O](80) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n", + " C[CH]O(79) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n", + " CC[O](80) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n", + " OH(17) + C3H8(11) <=> H2O(5) + C[CH]C(53)\n", + " OH(17) + C3H8(11) <=> H2O(5) + [CH2]CC(54)\n", + " C2H5(13) + C[CH]C(53) <=> C2H4(18) + C3H8(11)\n", + " C2H5(13) + [CH2]CC(54) <=> C2H4(18) + C3H8(11)\n", + " CH3CH(19) + C3H8(11) <=> C2H5(13) + C[CH]C(53)\n", + " CH3CH(19) + C3H8(11) <=> C2H5(13) + [CH2]CC(54)\n", + " COO(81) + C[CH]C(53) <=> CH3OO(20) + C3H8(11)\n", + " COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11)\n", + " H(12) + CH3OH(14) <=> H2(6) + CH3O(44)\n", + " H(12) + CH3OH(14) <=> H2(6) + CH2OH(47)\n", + " H2(6) + CO(35) <=> H(12) + HCO(15)\n", + " H(12) + CH3CHO(16) <=> H2(6) + [CH2]C=O(58)\n", + " H(12) + CH3CHO(16) <=> H2(6) + C[C]=O(59)\n", + " H(12) + CH3CHO(16) <=> C[CH]O(79)\n", + " H(12) + CH3CHO(16) <=> CC[O](80)\n", + " H(12) + C2H4(18) <=> H2(6) + [CH]=C(60)\n", + " H(12) + CH3CH(19) <=> H2(6) + [CH]=C(60)\n", + " H(12) + CH3CH(19) <=> H2(6) + [CH][CH2](62)\n", + " H(12) + CH3OO(20) <=> H2(6) + [CH2]O[O](63)\n", + " H(12) + CH3OO(20) <=> COO(81)\n", + " C2H5(13) + C2H5(13) <=> CCCC(193)\n", + " CH3OH(14) + C2H5(13) <=> CH3O(44) + C2H6(8)\n", + " CH3OH(14) + C2H5(13) <=> CH2OH(47) + C2H6(8)\n", + " [CH]O(78) + [CH2][CH2](55) <=> HCO(15) + C2H5(13)\n", + " [CH]O(78) + CH3CH(19) <=> HCO(15) + C2H5(13)\n", + " CO(35) + C2H6(8) <=> HCO(15) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CCC=O(148)\n", + " [CH2][CH2](55) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n", + " [CH2][CH2](55) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CH(19) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CH(19) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CHO(16) + C2H5(13) <=> [CH2]C=O(58) + C2H6(8)\n", + " C[C]=O(59) + C2H6(8) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CHO(16) + C2H5(13) <=> C[CH]OCC(194)\n", + " CH3CHO(16) + C2H5(13) <=> CCC(C)[O](195)\n", + " O(34) + C2H6(8) <=> OH(17) + C2H5(13)\n", + " OH(17) + C2H5(13) <=> CCO(147)\n", + " [CH2][CH2](55) + C2H5(13) <=> C2H4(18) + C2H5(13)\n", + " [CH]=C(60) + C2H6(8) <=> C2H4(18) + C2H5(13)\n", + " C2H4(18) + C2H5(13) <=> [CH2]CCC(196)\n", + " CH3CH(19) + C2H5(13) <=> C[CH]CC(197)\n", + " CH3CH(19) + C2H5(13) <=> [CH]=C(60) + C2H6(8)\n", + " [CH][CH2](62) + C2H6(8) <=> CH3CH(19) + C2H5(13)\n", + " CH3OO(20) + C2H5(13) <=> COO(81) + C2H4(18)\n", + " COO(81) + CH3CH(19) <=> CH3OO(20) + C2H5(13)\n", + " [CH2]O[O](63) + C2H6(8) <=> CH3OO(20) + C2H5(13)\n", + " CH3OO(20) + C2H5(13) <=> CCOOC(198)\n", + " [CH]O(78) + CH3O(44) <=> HCO(15) + CH3OH(14)\n", + " [CH]O(78) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n", + " CH2O(9) + CH3O(44) <=> HCO(15) + CH3OH(14)\n", + " CH2O(9) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n", + " CH3O(44) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n", + " CH3O(44) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n", + " CH2OH(47) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n", + " CH2OH(47) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n", + " OH(17) + CH3OH(14) <=> H2O(5) + CH3O(44)\n", + " OH(17) + CH3OH(14) <=> H2O(5) + CH2OH(47)\n", + " CH3OH(14) + C2H4(18) <=> CCOC(199)\n", + " CH3OH(14) + C2H4(18) <=> CCCO(200)\n", + " CH3O(44) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n", + " CH2OH(47) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n", + " CH3OH(14) + CH3CH(19) <=> CH3O(44) + C2H5(13)\n", + " CH3OH(14) + CH3CH(19) <=> CH2OH(47) + C2H5(13)\n", + " CH3O(44) + COO(81) <=> CH3OO(20) + CH3OH(14)\n", + " CH2OH(47) + COO(81) <=> CH3OO(20) + CH3OH(14)\n", + " CO(35) + [CH]O(78) <=> HCO(15) + HCO(15)\n", + " CO(35) + CH2O(9) <=> HCO(15) + HCO(15)\n", + " HCO(15) + HCO(15) <=> O=CC=O(150)\n", + " CO(35) + C[CH]O(79) <=> HCO(15) + CH3CHO(16)\n", + " CO(35) + CC[O](80) <=> HCO(15) + CH3CHO(16)\n", + " [CH]O(78) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n", + " [CH]O(78) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n", + " CH2O(9) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n", + " CH2O(9) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n", + " HCO(15) + CH3CHO(16) <=> C[CH]OC=O(201)\n", + " HCO(15) + CH3CHO(16) <=> CC([O])C=O(202)\n", + " O(34) + [CH]O(78) <=> OH(17) + HCO(15)\n", + " H2O(5) + CO(35) <=> OH(17) + HCO(15)\n", + " O(34) + CH2O(9) <=> OH(17) + HCO(15)\n", + " OH(17) + HCO(15) <=> O=CO(98)\n", + " CO(35) + C2H5(13) <=> HCO(15) + C2H4(18)\n", + " [CH]O(78) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n", + " CH2O(9) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n", + " HCO(15) + C2H4(18) <=> [CH2]CC=O(154)\n", + " HCO(15) + CH3CH(19) <=> C[CH]C=O(203)\n", + " HCO(15) + CH3CH(19) <=> CH2O(9) + [CH]=C(60)\n", + " [CH]O(78) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n", + " [CH]O(78) + [C]C(140) <=> HCO(15) + CH3CH(19)\n", + " CO(35) + C2H5(13) <=> HCO(15) + CH3CH(19)\n", + " CH2O(9) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n", + " HCO(15) + CH3OO(20) <=> CO(7) + COO(81)\n", + " [CH]O(78) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n", + " CO(35) + COO(81) <=> HCO(15) + CH3OO(20)\n", + " CH2O(9) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n", + " HCO(15) + CH3OO(20) <=> COOC=O(204)\n", + " CC([O])C(C)[O](205) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[CH]OC(C)[O](206) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[CH]OO[CH]C(207) <=> CH3CHO(16) + CH3CHO(16)\n", + " CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208)\n", + " [CH2]C=O(58) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n", + " [CH2]C=O(58) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[C]=O(59) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[C]=O(59) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n", + " C=COOCC(209) <=> CH3CHO(16) + CH3CHO(16)\n", + " C=COC(C)O(210) <=> CH3CHO(16) + CH3CHO(16)\n", + " O(34) + C[CH]O(79) <=> OH(17) + CH3CHO(16)\n", + " O(34) + CC[O](80) <=> OH(17) + CH3CHO(16)\n", + " OH(17) + CH3CHO(16) <=> H2O(5) + [CH2]C=O(58)\n", + " OH(17) + CH3CHO(16) <=> H2O(5) + C[C]=O(59)\n", + " OH(17) + CH3CHO(16) <=> CC([O])O(211)\n", + " [CH2]CC(C)[O](212) <=> C2H4(18) + CH3CHO(16)\n", + " [CH2]CO[CH]C(213) <=> C2H4(18) + CH3CHO(16)\n", + " C2H4(18) + CH3CHO(16) <=> CC1CCO1(214)\n", + " [CH2]C=O(58) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n", + " C[C]=O(59) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n", + " [CH]=C(60) + C[CH]O(79) <=> C2H4(18) + CH3CHO(16)\n", + " [CH]=C(60) + CC[O](80) <=> C2H4(18) + CH3CHO(16)\n", + " C=COCC(215) <=> C2H4(18) + CH3CHO(16)\n", + " [CH][CH2](62) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n", + " [C]C(140) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n", + " [CH][CH2](62) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n", + " [C]C(140) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n", + " CH3CH(19) + CH3CHO(16) <=> [CH2]C=O(58) + C2H5(13)\n", + " CH3CH(19) + CH3CHO(16) <=> C[C]=O(59) + C2H5(13)\n", + " CH3CH(19) + CH3CHO(16) <=> C[CH]O[CH]C(216)\n", + " CH3CH(19) + CH3CHO(16) <=> C[CH]C(C)[O](217)\n", + " [CH2]O[O](63) + C[CH]O(79) <=> CH3OO(20) + CH3CHO(16)\n", + " [CH2]O[O](63) + CC[O](80) <=> CH3OO(20) + CH3CHO(16)\n", + " COO(81) + [CH2]C=O(58) <=> CH3OO(20) + CH3CHO(16)\n", + " COO(81) + C[C]=O(59) <=> CH3OO(20) + CH3CHO(16)\n", + " CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218)\n", + " CH3OO(20) + CH3CHO(16) <=> COOC(C)[O](219)\n", + " O(34) + C2H5(13) <=> OH(17) + C2H4(18)\n", + " OH(17) + C2H4(18) <=> H2O(5) + [CH]=C(60)\n", + " OH(17) + C2H4(18) <=> [CH2]CO(220)\n", + " OH(17) + CH3CH(19) <=> C[CH]O(79)\n", + " OH(17) + CH3CH(19) <=> H2O(5) + [CH]=C(60)\n", + " OH(17) + CH3CH(19) <=> O(34) + C2H5(13)\n", + " OH(17) + CH3CH(19) <=> H2O(5) + [CH][CH2](62)\n", + " O(34) + COO(81) <=> OH(17) + CH3OO(20)\n", + " OH(17) + CH3OO(20) <=> H2O(5) + [CH2]O[O](63)\n", + " OH(17) + CH3OO(20) <=> COOO(221)\n", + " [CH2]CC[CH2](222) <=> C2H4(18) + C2H4(18)\n", + " [CH]=C(60) + C2H5(13) <=> C2H4(18) + C2H4(18)\n", + " [CH][CH2](62) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " [C]C(140) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " [CH]=C(60) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " C2H4(18) + CH3CH(19) <=> [CH2]C[CH]C(223)\n", + " [CH2]O[O](63) + C2H5(13) <=> CH3OO(20) + C2H4(18)\n", + " COO(81) + [CH]=C(60) <=> CH3OO(20) + C2H4(18)\n", + " CH3OO(20) + C2H4(18) <=> [CH2]COOC(224)\n", + " CH3CH(19) + CH3CH(19) <=> [CH]=C(60) + C2H5(13)\n", + " CH3CH(19) + CH3CH(19) <=> [CH][CH2](62) + C2H5(13)\n", + " CH3OO(20) + CH3CH(19) <=> C[CH]OOC(225)\n", + " CH3OO(20) + CH3CH(19) <=> COO(81) + [CH]=C(60)\n", + " COO(81) + [CH][CH2](62) <=> CH3OO(20) + CH3CH(19)\n", + " CH3OO(20) + CH3CH(19) <=> [CH2]O[O](63) + C2H5(13)\n", + " [CH2]O[O](63) + COO(81) <=> CH3OO(20) + CH3OO(20)\n", + " CH3OO(20) + CH3OO(20) <=> COOOOC(226)\n", + " HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227)\n", + " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n", + " O=C[O][Pt](227) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " O=C[O][Pt](227) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " X(1) + CC(=O)[O][Pt](230) <=> CO2X(22) + CH3X(27)\n", + " X(1) + CO[C](=O)[Pt](231) <=> CO2X(22) + CH3X(27)\n", + " OX(25) + O=C[O][Pt](227) <=> OHX(31) + CO2X(22)\n", + " X(1) + O=C(O)[O][Pt](232) <=> OHX(31) + CO2X(22)\n", + " X(1) + O=[C]([Pt])OO(233) <=> OHX(31) + CO2X(22)\n", + " OHX(31) + O=C[O][Pt](227) <=> H2OX(32) + CO2X(22)\n", + " COX(23) + O=C[O][Pt](227) <=> CO2X(22) + CHOX(33)\n", + " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n", + " X(1) + O=CC(=O)[O][Pt](234) <=> CO2X(22) + CHOX(33)\n", + " X(1) + O=CO[C](=O)[Pt](235) <=> CO2X(22) + CHOX(33)\n", + " X(1) + X(1) + O=C=C=O(236) <=> COX(23) + COX(23)\n", + " X(1) + O=C=C=O.[Pt](237) <=> COX(23) + COX(23)\n", + " COX(23) + CH4X(24) <=> HX(21) + C[C](=O)[Pt](70)\n", + " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n", + " X(1) + X(1) + C=C=O(238) <=> COX(23) + CH2X(26)\n", + " X(1) + C=C=O.[Pt](239) <=> COX(23) + CH2X(26)\n", + " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " X(1) + C[C](=O)[Pt](70) <=> COX(23) + CH3X(27)\n", + " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n", + " X(1) + O=C=[CH][Pt](240) <=> COX(23) + CHX(28)\n", + " X(1) + O=C=[C]=[Pt](241) <=> CX(29) + COX(23)\n", + " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n", + " X(1) + OO[C]#[Pt](242) <=> OHX(31) + COX(23)\n", + " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n", + " X(1) + O=C[C](=O)[Pt](243) <=> COX(23) + CHOX(33)\n", + " OX(25) + CH4X(24) <=> HX(21) + CH3O_X(45)\n", + " CH2X(26) + CH4X(24) <=> HX(21) + C[CH2][Pt](64)\n", + " CHX(28) + CH4X(24) <=> HX(21) + C[CH]=[Pt](71)\n", + " CX(29) + CH4X(24) <=> HX(21) + C[C]#[Pt](244)\n", + " CH2O_X(46) + CH3X(27) <=> CHOX(33) + CH4X(24)\n", + " X(1) + O=O.[Pt](245) <=> OX(25) + OX(25)\n", + " X(1) + CH2O_X(46) <=> OX(25) + CH2X(26)\n", + " X(1) + CH3O_X(45) <=> OX(25) + CH3X(27)\n", + " X(1) + O[O][Pt](246) <=> OX(25) + OHX(31)\n", + " OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246)\n", + " X(1) + O=C[O][Pt](227) <=> OX(25) + CHOX(33)\n", + " X(1) + C=C.[Pt](74) <=> CH2X(26) + CH2X(26)\n", + " X(1) + C[CH2][Pt](64) <=> CH2X(26) + CH3X(27)\n", + " X(1) + C=[CH][Pt](73) <=> CHX(28) + CH2X(26)\n", + " X(1) + C=[C]=[Pt](247) <=> CX(29) + CH2X(26)\n", + " X(1) + CH2OH_X(48) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CH2X(26) <=> HX(21) + CH2OH_X(48)\n", + " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n", + " CHX(28) + CH2O_X(46) <=> CHOX(33) + CH2X(26)\n", + " X(1) + O=C[CH2][Pt](69) <=> CHOX(33) + CH2X(26)\n", + " X(1) + CC.[Pt](65) <=> CH3X(27) + CH3X(27)\n", + " X(1) + C[CH]=[Pt](71) <=> CHX(28) + CH3X(27)\n", + " X(1) + C[C]#[Pt](244) <=> CX(29) + CH3X(27)\n", + " X(1) + CH3OH_X(43) <=> OHX(31) + CH3X(27)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n", + " CH2X(26) + CH2O_X(46) <=> CHOX(33) + CH3X(27)\n", + " X(1) + CC=O.[Pt](72) <=> CHOX(33) + CH3X(27)\n", + " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n", + " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n", + " CX(29) + CH2O_X(46) <=> CHX(28) + CHOX(33)\n", + " X(1) + O=C[CH]=[Pt](248) <=> CHX(28) + CHOX(33)\n", + " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n", + " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n", + " X(1) + O=C[C]#[Pt](249) <=> CX(29) + CHOX(33)\n", + " X(1) + X(1) + H2O2(51) <=> OHX(31) + OHX(31)\n", + " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n", + " OX(25) + CH2O_X(46) <=> OHX(31) + CHOX(33)\n", + " X(1) + X(1) + O=CO(98) <=> OHX(31) + CHOX(33)\n", + " X(1) + OO[CH]=[Pt](250) <=> OHX(31) + CHOX(33)\n", + " X(1) + O=CO.[Pt](251) <=> OHX(31) + CHOX(33)\n", + " OHX(31) + CH2O_X(46) <=> H2OX(32) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n", + " COX(23) + CH2O_X(46) <=> CHOX(33) + CHOX(33)\n", + " X(1) + X(1) + O=CC=O(150) <=> CHOX(33) + CHOX(33)\n", + " X(1) + O=CC=O.[Pt](252) <=> CHOX(33) + CHOX(33)\n", + "\n", + "After model enlargement:\n", + " The model core has 36 species and 109 reactions\n", + " The model edge has 219 species and 613 reactions\n", + "\n", + "\n", + "Completed initial enlarge edge step.\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 63 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 63 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 180 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 180 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:39\n", + " Memory used: 884.97 MB\n", + "\n", + "Making seed mechanism...\n", + "Beginning model generation stage 1...\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "Reached max number of objects...preparing to terminate\n", + "At time 4.6109e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10030650099699316 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species O[CH]=[Pt](229) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O[CH]=[Pt](229)\n", + "Created 0 new edge species\n", + "Moved 8 reactions from edge to core\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n", + " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n", + " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n", + " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n", + " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 37 species and 117 reactions\n", + " The model edge has 218 species and 605 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "For reaction OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229), Ea raised from 48.7 to 53.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 143.8 to 146.0 kJ/mol to match endothermicity of reaction.\n", + "For reaction X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 58.3 to 62.4 kJ/mol to match endothermicity of reaction.\n", + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 11 new edge species\n", + " O=C=CO(253)\n", + " O=C=CO.[Pt](254)\n", + " C[CH](O)[Pt](255)\n", + " C=CO.[Pt](256)\n", + " OC=[CH][Pt](257)\n", + " OC=[C]=[Pt](258)\n", + " OO.[Pt](259)\n", + " O[CH](O)[Pt](260)\n", + " O=C[CH](O)[Pt](261)\n", + " OC=CO(262)\n", + " OC=CO.[Pt](263)\n", + "Added 0 new core reactions\n", + "Created 48 new edge reactions\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n", + " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n", + " X(1) + CH2OH_X(48) <=> HX(21) + O[CH]=[Pt](229)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n", + " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " CHX(28) + OO[C]#[Pt](242) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " X(1) + X(1) + O=C=CO(253) <=> COX(23) + O[CH]=[Pt](229)\n", + " X(1) + O=C=CO.[Pt](254) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[CH]=[Pt](229) + CH4X(24) <=> CH3X(27) + CH2OH_X(48)\n", + " O[CH]=[Pt](229) + CH4X(24) <=> HX(21) + C[CH](O)[Pt](255)\n", + " O[O][Pt](246) + CHX(28) <=> OX(25) + O[CH]=[Pt](229)\n", + " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n", + " X(1) + X(1) + O=CO(98) <=> OX(25) + O[CH]=[Pt](229)\n", + " X(1) + O=CO.[Pt](251) <=> OX(25) + O[CH]=[Pt](229)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n", + " X(1) + X(1) + C=CO(57) <=> CH2X(26) + O[CH]=[Pt](229)\n", + " X(1) + C=CO.[Pt](256) <=> CH2X(26) + O[CH]=[Pt](229)\n", + " CH2X(26) + CH2OH_X(48) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " CHX(28) + CH3OH_X(43) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " X(1) + C[CH](O)[Pt](255) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + CH2OH_X(48) <=> CHX(28) + O[CH]=[Pt](229)\n", + " X(1) + OC=[CH][Pt](257) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " X(1) + OC=[C]=[Pt](258) <=> CX(29) + O[CH]=[Pt](229)\n", + " H2X(30) + O[CH]=[Pt](229) <=> HX(21) + CH2OH_X(48)\n", + " OHX(31) + O[CH]=[Pt](229) <=> OX(25) + CH2OH_X(48)\n", + " OO.[Pt](259) + CHX(28) <=> OHX(31) + O[CH]=[Pt](229)\n", + " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n", + " X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229)\n", + " H2OX(32) + O[CH]=[Pt](229) <=> OHX(31) + CH2OH_X(48)\n", + " H2OX(32) + O[CH]=[Pt](229) <=> HX(21) + O[CH](O)[Pt](260)\n", + " CHOX(33) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n", + " CHX(28) + OO[CH]=[Pt](250) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " CHX(28) + O=CO.[Pt](251) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + CH2O_X(46) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " X(1) + O=C[CH](O)[Pt](261) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHX(28) + O[CH](O)[Pt](260)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH2OH_X(48)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHOX(33) + CH2OH_X(48)\n", + " X(1) + X(1) + OC=CO(262) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n", + " X(1) + OC=CO.[Pt](263) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n", + "\n", + "After model enlargement:\n", + " The model core has 37 species and 117 reactions\n", + " The model edge has 229 species and 653 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 71 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 71 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 228 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 228 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:50\n", + " Memory used: 886.73 MB\n", + "\n", + "Conducting simulation of reaction system 2...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "Reached max number of objects...preparing to terminate\n", + "At time 2.3883e-09 s, species O[C]#[Pt](228) at rate ratio 0.10006247522197795 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species O[C]#[Pt](228) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O[C]#[Pt](228)\n", + "Created 0 new edge species\n", + "Moved 20 reactions from edge to core\n", + " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n", + " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n", + " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n", + " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n", + " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n", + " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n", + " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n", + " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n", + " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n", + " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 38 species and 137 reactions\n", + " The model edge has 228 species and 633 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 6 new edge species\n", + " O=C=[C](O)[Pt](264)\n", + " C[C](O)=[Pt](265)\n", + " C=[C](O)[Pt](266)\n", + " O[C](O)=[Pt](267)\n", + " O=C[C](O)=[Pt](268)\n", + " OC=[C](O)[Pt](269)\n", + "Added 0 new core reactions\n", + "Created 21 new edge reactions\n", + " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n", + " CX(29) + OO[C]#[Pt](242) <=> COX(23) + O[C]#[Pt](228)\n", + " X(1) + O=C=[C](O)[Pt](264) <=> COX(23) + O[C]#[Pt](228)\n", + " O[C]#[Pt](228) + CH4X(24) <=> HX(21) + C[C](O)=[Pt](265)\n", + " O[O][Pt](246) + CX(29) <=> OX(25) + O[C]#[Pt](228)\n", + " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n", + " CX(29) + CH2OH_X(48) <=> O[C]#[Pt](228) + CH2X(26)\n", + " X(1) + C=[C](O)[Pt](266) <=> O[C]#[Pt](228) + CH2X(26)\n", + " CX(29) + CH3OH_X(43) <=> O[C]#[Pt](228) + CH3X(27)\n", + " X(1) + C[C](O)=[Pt](265) <=> O[C]#[Pt](228) + CH3X(27)\n", + " OO.[Pt](259) + CX(29) <=> OHX(31) + O[C]#[Pt](228)\n", + " X(1) + O[C](O)=[Pt](267) <=> OHX(31) + O[C]#[Pt](228)\n", + " H2OX(32) + O[C]#[Pt](228) <=> HX(21) + O[C](O)=[Pt](267)\n", + " CX(29) + OO[CH]=[Pt](250) <=> CHOX(33) + O[C]#[Pt](228)\n", + " CX(29) + O=CO.[Pt](251) <=> CHOX(33) + O[C]#[Pt](228)\n", + " X(1) + O=C[C](O)=[Pt](268) <=> CHOX(33) + O[C]#[Pt](228)\n", + " CX(29) + O[CH](O)[Pt](260) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " CHX(28) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n", + " X(1) + OC=[C](O)[Pt](269) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " CX(29) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[C]#[Pt](228)\n", + "\n", + "After model enlargement:\n", + " The model core has 38 species and 137 reactions\n", + " The model edge has 234 species and 654 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 91 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 91 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 249 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 249 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:01:03\n", + " Memory used: 886.74 MB\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "Reached max number of objects...preparing to terminate\n", + "At time 7.4162e-09 s, species COOH_X(37) at rate ratio 0.1003670787675018 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species COOH_X(37) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " COOH_X(37)\n", + "Created 0 new edge species\n", + "Moved 11 reactions from edge to core\n", + " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n", + " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n", + " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n", + " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n", + " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n", + " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n", + " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n", + " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 233 species and 643 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 16 new edge species\n", + " O=C(O)C(=O)[O][Pt](270)\n", + " O=C(O)O[C](=O)[Pt](271)\n", + " O=C(O)[C](=O)[Pt](272)\n", + " O=C(O)[CH2][Pt](273)\n", + " CC(=O)O.[Pt](274)\n", + " O=C(O)[CH]=[Pt](275)\n", + " O=C(O)[C]#[Pt](276)\n", + " O=C(O)O(277)\n", + " OO[C](O)=[Pt](278)\n", + " O=C(O)O.[Pt](279)\n", + " O=CC(=O)O(280)\n", + " O=CC(=O)O.[Pt](281)\n", + " O=C(O)[CH](O)[Pt](282)\n", + " O=C(O)[C](O)=[Pt](283)\n", + " O=C(O)C(=O)O(284)\n", + " O=C(O)C(=O)O.[Pt](285)\n", + "Added 0 new core reactions\n", + "Created 55 new edge reactions\n", + " X(1) + X(1) + O=CO(98) <=> HX(21) + COOH_X(37)\n", + " X(1) + O[C](O)=[Pt](267) <=> HX(21) + COOH_X(37)\n", + " HX(21) + COOH_X(37) <=> X(1) + O=CO.[Pt](251)\n", + " COX(23) + O=C(O)[O][Pt](232) <=> CO2X(22) + COOH_X(37)\n", + " COX(23) + O=[C]([Pt])OO(233) <=> CO2X(22) + COOH_X(37)\n", + " X(1) + O=C(O)C(=O)[O][Pt](270) <=> CO2X(22) + COOH_X(37)\n", + " X(1) + O=C(O)O[C](=O)[Pt](271) <=> CO2X(22) + COOH_X(37)\n", + " COX(23) + OO[C]#[Pt](242) <=> COX(23) + COOH_X(37)\n", + " X(1) + O=C(O)[C](=O)[Pt](272) <=> COX(23) + COOH_X(37)\n", + " O=CO.[Pt](251) + CH3X(27) <=> COOH_X(37) + CH4X(24)\n", + " O[O][Pt](246) + COX(23) <=> OX(25) + COOH_X(37)\n", + " X(1) + O=C(O)[O][Pt](232) <=> OX(25) + COOH_X(37)\n", + " COOH_X(37) + CH2X(26) <=> COX(23) + CH2OH_X(48)\n", + " CHX(28) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH2X(26)\n", + " CHX(28) + O=CO.[Pt](251) <=> COOH_X(37) + CH2X(26)\n", + " X(1) + O=C(O)[CH2][Pt](273) <=> COOH_X(37) + CH2X(26)\n", + " CH2X(26) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH3X(27)\n", + " COX(23) + CH3OH_X(43) <=> COOH_X(37) + CH3X(27)\n", + " CH2X(26) + O=CO.[Pt](251) <=> COOH_X(37) + CH3X(27)\n", + " X(1) + X(1) + CC(=O)O(77) <=> COOH_X(37) + CH3X(27)\n", + " X(1) + CC(=O)O.[Pt](274) <=> COOH_X(37) + CH3X(27)\n", + " CX(29) + O[C](O)=[Pt](267) <=> CHX(28) + COOH_X(37)\n", + " CX(29) + O=CO.[Pt](251) <=> CHX(28) + COOH_X(37)\n", + " X(1) + O=C(O)[CH]=[Pt](275) <=> CHX(28) + COOH_X(37)\n", + " X(1) + O=C(O)[C]#[Pt](276) <=> CX(29) + COOH_X(37)\n", + " OX(25) + O[C](O)=[Pt](267) <=> OHX(31) + COOH_X(37)\n", + " OO.[Pt](259) + COX(23) <=> OHX(31) + COOH_X(37)\n", + " OX(25) + O=CO.[Pt](251) <=> OHX(31) + COOH_X(37)\n", + " X(1) + X(1) + O=C(O)O(277) <=> OHX(31) + COOH_X(37)\n", + " X(1) + OO[C](O)=[Pt](278) <=> OHX(31) + COOH_X(37)\n", + " X(1) + O=C(O)O.[Pt](279) <=> OHX(31) + COOH_X(37)\n", + " OHX(31) + O=CO.[Pt](251) <=> H2OX(32) + COOH_X(37)\n", + " COX(23) + OO[CH]=[Pt](250) <=> CHOX(33) + COOH_X(37)\n", + " COX(23) + O[C](O)=[Pt](267) <=> CHOX(33) + COOH_X(37)\n", + " CHOX(33) + COOH_X(37) <=> CO2X(22) + CH2O_X(46)\n", + " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n", + " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n", + " X(1) + X(1) + O=CC(=O)O(280) <=> CHOX(33) + COOH_X(37)\n", + " X(1) + O=CC(=O)O.[Pt](281) <=> CHOX(33) + COOH_X(37)\n", + " COOH_X(37) + O[CH]=[Pt](229) <=> COX(23) + O[CH](O)[Pt](260)\n", + " CHX(28) + OO[C](O)=[Pt](278) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C](O)=[Pt](267) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " COOH_X(37) + O[CH]=[Pt](229) <=> CO2X(22) + CH2OH_X(48)\n", + " CHX(28) + O=C(O)O.[Pt](279) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O=CO.[Pt](251) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " X(1) + O=C(O)[CH](O)[Pt](282) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " COX(23) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " CX(29) + OO[C](O)=[Pt](278) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " CX(29) + O=C(O)O.[Pt](279) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " X(1) + O=C(O)[C](O)=[Pt](283) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " COX(23) + OO[C](O)=[Pt](278) <=> COOH_X(37) + COOH_X(37)\n", + " COOH_X(37) + COOH_X(37) <=> CO2X(22) + O=CO.[Pt](251)\n", + " COX(23) + O=C(O)O.[Pt](279) <=> COOH_X(37) + COOH_X(37)\n", + " X(1) + X(1) + O=C(O)C(=O)O(284) <=> COOH_X(37) + COOH_X(37)\n", + " X(1) + O=C(O)C(=O)O.[Pt](285) <=> COOH_X(37) + COOH_X(37)\n", + "\n", + "After model enlargement:\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 249 species and 698 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:01:21\n", + " Memory used: 886.74 MB\n", + "\n", + "Conducting simulation of reaction system 2...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "Reached max number of objects...preparing to terminate\n", + "At time 5.4841e-08 s, species [CH]C(61) at rate ratio 0.10142010078648805 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species [CH]C(61) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " [CH]C(61)\n", + "Created 0 new edge species\n", + "Moved 1 reactions from edge to core\n", + " [CH]C(61) <=> C2H4(18)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 40 species and 149 reactions\n", + " The model edge has 248 species and 697 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "Generating thermo for new species...\n", + "Warning: Marked reaction X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27) as duplicate of X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27) for saving to Chemkin file.\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 9 new edge species\n", + " [CH][CH2][Pt](286)\n", + " [CH]C.[Pt](287)\n", + " CC1OC1=O(288)\n", + " [CH]COC=O(289)\n", + " [CH]CC(=O)O(290)\n", + " [CH]CC=O(291)\n", + " CC1CO1(292)\n", + " CC1OC1C(293)\n", + " CC1CC1(294)\n", + "Added 3 new core reactions\n", + " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", + " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", + " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", + "Created 11 new edge reactions\n", + " CH(41) + CH3(10) <=> [CH]C(61)\n", + " X(1) + X(1) + [CH]C(61) <=> HX(21) + [CH][CH2][Pt](286)\n", + " X(1) + X(1) + [CH]C(61) <=> HX(21) + C[C]#[Pt](244)\n", + " X(1) + [CH]C(61) <=> [CH]C.[Pt](287)\n", + " CO2(4) + [CH]C(61) <=> CC1OC1=O(288)\n", + " CO2(4) + [CH]C(61) <=> [CH]COC=O(289)\n", + " CO2(4) + [CH]C(61) <=> [CH]CC(=O)O(290)\n", + " CO(7) + [CH]C(61) <=> [CH]CC=O(291)\n", + " CH2O(9) + [CH]C(61) <=> CC1CO1(292)\n", + " [CH]C(61) + CH3CHO(16) <=> CC1OC1C(293)\n", + " C2H4(18) + [CH]C(61) <=> CC1CC1(294)\n", + "\n", + "After model enlargement:\n", + " The model core has 40 species and 152 reactions\n", + " The model edge has 257 species and 708 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:01:43\n", + " Memory used: 888.25 MB\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "At time 6.6507e-06 s, reached target termination RateRatio: 0.0497658467962582\n", + " CH4(2) conversion: 0.2206 \n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 40 species and 152 reactions\n", + " The model edge has 257 species and 708 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:02:32\n", + " Memory used: 894.27 MB\n", + "\n", + "Conducting simulation of reaction system 2...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", + "At time 4.7641e-06 s, reached target termination RateRatio: 0.04974422721809749\n", + " CH4(2) conversion: 0.8567 \n", + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 40 species and 152 reactions\n", + " The model edge has 257 species and 708 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 47 reactions.\n", + "Chemkin file contains 105 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 553 reactions.\n", + "Chemkin file contains 310 reactions.\n", + "Saving current model core to HTML file...\n", + "Saving current model edge to HTML file...\n", + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:03:08\n", + " Memory used: 897.90 MB\n", + "\n", + "Making seed mechanism...\n", + "Performing final model checks...\n", + "No collision rate violators found in the model's core.\n", + "\n", + "MODEL GENERATION COMPLETED\n", + "\n", + "The final model core has 40 species and 152 reactions\n", + "The final model edge has 257 species and 708 reactions\n", + "\n", + "RMG execution terminated at Tue Apr 7 16:48:07 2026\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "base_rmg_run_dir = os.path.join('temp', 'base_rmg_run')\n", + "cov_dep_rmg_run_dir = os.path.join('temp', 'cov_dep_rmg_run')\n", + "os.makedirs(base_rmg_run_dir, exist_ok=True)\n", + "os.makedirs(cov_dep_rmg_run_dir, exist_ok=True)\n", + "\n", + "input_file = \"\"\"\n", + "# Data sources\n", + "database(\n", + " thermoLibraries=['covDepSurfaceThermoPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", + " reactionLibraries = [\n", + " ('Surface/Methane/Deutschmann_Pt', False),\n", + " ('Surface/Methane/Vlachos_Pt111', False),\n", + " 'BurkeH2O2inArHe'],\n", + " seedMechanisms = [],\n", + " kineticsDepositories = ['training'],\n", + " kineticsFamilies =['surface','default'],\n", + " kineticsEstimator = 'rate rules',\n", + ")\n", + "\n", + "catalystProperties( # default values for Pt(111)\n", + " metal = 'Pt111',\n", + " thermoCoverageDependence = False,\n", + ")\n", + "\n", + "# List of species\n", + "species(\n", + " label='X',\n", + " reactive=True,\n", + " structure=adjacencyList(\"1 X u0\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH4',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH4]\"),\n", + ")\n", + "species(\n", + " label='O2',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u1 p2 c0 {2,S}\n", + " 2 O u1 p2 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='Ar',\n", + " reactive=False,\n", + " structure=SMILES(\"[Ar]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO2',\n", + " reactive=True,\n", + " structure=SMILES(\"O=C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2O',\n", + " reactive=True,\n", + " structure=SMILES(\"O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2',\n", + " reactive=True,\n", + " structure=SMILES(\"[H][H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO',\n", + " reactive=True,\n", + " structure=SMILES(\"[C-]#[O+]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H6',\n", + " reactive=True,\n", + " structure=SMILES(\"CC\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH2O',\n", + " reactive=True,\n", + " structure=SMILES(\"C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH3]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C3H8',\n", + " reactive=True,\n", + " structure=SMILES(\"CCC\"),\n", + ")\n", + "\n", + "species(\n", + " label='H',\n", + " reactive=True,\n", + " structure=SMILES(\"[H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H5',\n", + " reactive=True,\n", + " structure=SMILES(\"C[CH2]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OH',\n", + " reactive=True,\n", + " structure=SMILES(\"CO\"),\n", + ")\n", + "\n", + "species(\n", + " label='HCO',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CHO',\n", + " reactive=True,\n", + " structure=SMILES(\"CC=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='OH',\n", + " reactive=True,\n", + " structure=SMILES(\"[OH]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H4',\n", + " reactive=True,\n", + " structure=SMILES(\"C=C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CH',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OO',\n", + " reactive=True,\n", + " structure=SMILES(\"CO[O]\"),\n", + ")\n", + "\n", + "species(\n", + " label='HX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CO2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {3,D}\n", + " 2 O u0 p2 c0 {3,D}\n", + " 3 C u0 p0 c0 {1,D} {2,D}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='COX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,D}\n", + " 3 X u0 p0 c0 {2,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH4X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 H u0 p0 c0 {1,S}\n", + " 6 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH3X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,T}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,T}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,Q}\n", + " 2 X u0 p0 c0 {1,Q}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHOX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n", + " 3 H u0 p0 c0 {2,S}\n", + " 4 X u0 p0 c0 {2,S}\n", + " '''),\n", + ")\n", + "\n", + "surfaceReactor(\n", + " temperature=(600,'K'),\n", + " initialPressure=(1.0, 'bar'),\n", + " initialGasMoleFractions={\n", + " \"CH4\": 0.108574,\n", + " \"O2\": 0.02088,\n", + " \"Ar\": 0.78547,\n", + " },\n", + " initialSurfaceCoverages={\n", + " \"X\": 1.0,\n", + " },\n", + " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", + " terminationConversion = { \"CH4\":0.95,},\n", + " terminationTime=(10., 's'),\n", + " # terminationConversion={'O2': 0.99,},\n", + " terminationRateRatio=0.05\n", + ")\n", + "\n", + "surfaceReactor(\n", + " temperature=(2000,'K'),\n", + " initialPressure=(1.0, 'bar'),\n", + " initialGasMoleFractions={\n", + " \"CH4\": 0.041866,\n", + " \"O2\": 0.03488,\n", + " \"Ar\": 0.131246,\n", + " },\n", + " initialSurfaceCoverages={\n", + " \"X\": 1.0,\n", + " },\n", + " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", + " terminationConversion = { \"CH4\":0.95,},\n", + " terminationTime=(10., 's'),\n", + " # terminationConversion={'O2': 0.99,},\n", + " terminationRateRatio=0.05\n", + ")\n", + "\n", + "\n", + "simulator(\n", + " atol=1e-18,\n", + " rtol=1e-12,\n", + ")\n", + "\n", + "model(\n", + " toleranceKeepInEdge=0.0,\n", + " toleranceMoveToCore=1e-1,\n", + "# inturrupt tolerance was 0.1 wout pruning, 1e8 w pruning on\n", + " toleranceInterruptSimulation=1e8,\n", + " maximumEdgeSpecies=500000,\n", + " maxNumSpecies=44,\n", + "# PRUNING: uncomment to prune\n", + "# minCoreSizeForPrune=50,\n", + "# prune before simulation based on thermo\n", + "# toleranceThermoKeepSpeciesInEdge=0.5,\n", + "# prune rxns from edge that dont move into core\n", + "# minSpeciesExistIterationsForPrune=2,\n", + "# FILTERING: set so threshold is slightly larger than max rate constants\n", + "# filterReactions=True,\n", + "# filterThreshold=5e8, # default value\n", + ")\n", + "\n", + "options(\n", + " units='si',\n", + " saveRestartPeriod=None,\n", + " generateOutputHTML=True,\n", + " generatePlots=False,\n", + " saveEdgeSpecies=True,\n", + " saveSimulationProfiles=True,\n", + ")\n", + "\n", + "generatedSpeciesConstraints(\n", + " allowed=['input species','reaction libraries'],\n", + " maximumSurfaceSites=1,\n", + ")\n", + "\"\"\"\n", + "\n", + "rmgpy_path = '../rmg.py' # Change to your rmg.py path\n", + "\n", + "\n", + "input_path = os.path.join(base_rmg_run_dir, 'input.py')\n", + "with open(input_path,'w') as f:\n", + " f.write(input_file)\n", + "print(f\"Running RMG with input file at {input_path}...\")\n", + "subprocess.check_call(['python', rmgpy_path, input_path])\n", + "\n", + "\n", + "# repeat for coverage dependent run\n", + "input_path = os.path.join(cov_dep_rmg_run_dir, 'input.py')\n", + "input_file = input_file.replace('thermoCoverageDependence = False', 'thermoCoverageDependence = True')\n", + "with open(input_path,'w') as f:\n", + " f.write(input_file)\n", + "print(f\"Running RMG with input file at {input_path}...\")\n", + "subprocess.check_call(['python', rmgpy_path, input_path])" + ] + }, + { + "cell_type": "markdown", + "id": "4493ff2a", + "metadata": {}, + "source": [ + "# Simulate the RMG mechanisms" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ad06f6c3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Base mechanism contains 23 gas species and 17 surface species\n", + "Coverage-dependent mechanism contains 23 gas species and 17 surface species\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_180850/4041569244.py:4: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n", + "at T = 200.0\n", + "at T = 500.0\n", + "at T = 1000.0\n", + "at T = 2000.0\n", + "at T = 5000.0\n", + "at T = 10000.0\n", + "\n", + " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n", + "/tmp/ipykernel_180850/4041569244.py:4: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n", + "at T = 200.0\n", + "at T = 500.0\n", + "at T = 1000.0\n", + "at T = 2000.0\n", + "at T = 5000.0\n", + "at T = 10000.0\n", + "\n", + " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n", + "/tmp/ipykernel_180850/4041569244.py:10: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n", + "at T = 200.0\n", + "at T = 500.0\n", + "at T = 1000.0\n", + "at T = 2000.0\n", + "at T = 5000.0\n", + "at T = 10000.0\n", + "\n", + " surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n", + "/tmp/ipykernel_180850/4041569244.py:10: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n", + "at T = 200.0\n", + "at T = 500.0\n", + "at T = 1000.0\n", + "at T = 2000.0\n", + "at T = 5000.0\n", + "at T = 10000.0\n", + "\n", + " surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n" + ] + } + ], + "source": [ + "# Load mechanism\n", + "base_mech_yaml = os.path.join(base_rmg_run_dir, 'cantera', 'chem_annotated.yaml')\n", + "gas_base = ct.Solution(base_mech_yaml)\n", + "surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n", + "print(f'Base mechanism contains {gas_base.n_species} gas species and {surf_base.n_species} surface species')\n", + "\n", + "\n", + "cov_dep_mech_yaml = os.path.join(cov_dep_rmg_run_dir, 'cantera', 'chem_annotated.yaml')\n", + "gas_cov_dep = ct.Solution(cov_dep_mech_yaml)\n", + "surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n", + "print(f'Coverage-dependent mechanism contains {gas_cov_dep.n_species} gas species and {surf_cov_dep.n_species} surface species')\n", + "\n", + "def get_i_thing(ref_composition, phase):\n", + "\tfor i in range(phase.n_species):\n", + "\t\tif phase.species()[i].composition == ref_composition:\n", + "\t\t\treturn i\n", + "\treturn -1\n", + "\n", + "\n", + "# simulate\n", + "# Set initial conditions\n", + "T = 1000.0 # K\n", + "P = 100000.0 # Pa\n", + "i_CO_base = get_i_thing({'C': 1, 'O': 1}, gas_base)\n", + "i_H2_base = get_i_thing({'H': 2}, gas_base)\n", + "\n", + "initial_mole_fractions = f'{gas_base.species_names[i_CO_base]}: 0.5, {gas_base.species_names[i_H2_base]}: 0.5'\n", + "initial_surface_coverages = 'X(1): 1.0'\n", + "\n", + "\n", + "gas_base.TPX = T, P, initial_mole_fractions\n", + "gas_reactor = ct.IdealGasReactor(gas_base, energy='off') # energy off makes it isothermal\n", + "\n", + "surf_base.TP = T, P \n", + "surf_base.coverages = initial_surface_coverages\n", + "surf_reactor = ct.ReactorSurface(surf_base, gas_reactor)\n", + "\n", + "net = ct.ReactorNet([gas_reactor])\n", + "\n", + "times_base = [net.time]\n", + "gas_concentrations_base = [gas_base.X]\n", + "surf_concentrations_base = [surf_base.coverages]\n", + "\n", + "termination_time = 1.0 # s\n", + "while net.time < termination_time:\n", + " net.step()\n", + " times_base.append(net.time)\n", + " gas_concentrations_base.append(gas_base.X)\n", + " surf_concentrations_base.append(surf_base.coverages)\n", + "\n", + "times_base = np.array(times_base)\n", + "gas_concentrations_base = np.array(gas_concentrations_base)\n", + "surf_concentrations_base = np.array(surf_concentrations_base)\n", + "\n", + "\n", + "# --------------------- Run coverage-dependent simulation ---------------------\n", + "i_CO_cov_dep = get_i_thing({'C': 1, 'O': 1}, gas_cov_dep)\n", + "i_H2_cov_dep = get_i_thing({'H': 2}, gas_cov_dep)\n", + "\n", + "initial_mole_fractions = f'{gas_cov_dep.species_names[i_CO_cov_dep]}: 0.5, {gas_cov_dep.species_names[i_H2_cov_dep]}: 0.5'\n", + "initial_surface_coverages = 'X(1): 1.0'\n", + "\n", + "\n", + "gas_cov_dep.TPX = T, P, initial_mole_fractions\n", + "gas_reactor = ct.IdealGasReactor(gas_cov_dep, energy='off') # energy off makes it isothermal\n", + "\n", + "surf_cov_dep.TP = T, P \n", + "surf_cov_dep.coverages = initial_surface_coverages\n", + "surf_reactor = ct.ReactorSurface(surf_cov_dep, gas_reactor)\n", + "\n", + "net = ct.ReactorNet([gas_reactor])\n", + "\n", + "times_cov_dep = [net.time]\n", + "gas_concentrations_cov_dep = [gas_cov_dep.X]\n", + "surf_concentrations_cov_dep = [surf_cov_dep.coverages]\n", + "\n", + "termination_time = 1.0 # s\n", + "while net.time < termination_time:\n", + " net.step()\n", + " times_cov_dep.append(net.time)\n", + " gas_concentrations_cov_dep.append(gas_cov_dep.X)\n", + " surf_concentrations_cov_dep.append(surf_cov_dep.coverages)\n", + "\n", + "times_cov_dep = np.array(times_cov_dep)\n", + "gas_concentrations_cov_dep = np.array(gas_concentrations_cov_dep)\n", + "surf_concentrations_cov_dep = np.array(surf_concentrations_cov_dep)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "868aa235", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results\n", + "\n", + "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n", + "\n", + "# Plot COX, X, OX, HX\n", + "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'X': 1}, surf_base)], label='X', color=colors[0])\n", + "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'O': 1, 'X': 1}, surf_base)], label='OX', color=colors[1])\n", + "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'H': 1, 'X': 1}, surf_base)], label='HX', color=colors[2])\n", + "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_base)], label='COX', color=colors[3])\n", + "\n", + "# plot cov-dep\n", + "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'X': 1}, surf_cov_dep)], label='X-cov-dep', color=colors[0], linestyle='dashed')\n", + "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'O': 1, 'X': 1}, surf_cov_dep)], label='OX-cov-dep', color=colors[1], linestyle='dashed')\n", + "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'H': 1, 'X': 1}, surf_cov_dep)], label='HX-cov-dep', color=colors[2], linestyle='dashed')\n", + "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_cov_dep)], label='COX-cov-dep', color=colors[3], linestyle='dashed')\n", + "\n", + "\n", + "plt.xlabel('Time (s)')\n", + "plt.ylabel('Surface Coverage')\n", + "plt.title('Surface Coverages vs Time')\n", + "plt.legend()\n", + "plt.xscale('log')\n", + "# plt.yscale('log')\n", + "plt.savefig('cross_surface_coverages.png')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "6dfaabf1", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the enthalpy of XCO versus coverage\n", + "\n", + "i_XCO_base = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_base)\n", + "i_XCO_cov_dep = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_cov_dep)\n", + "\n", + "\n", + "coverages = np.linspace(0, 1, 10)\n", + "enthalpies_base = []\n", + "enthalpies_cov_dep = []\n", + "\n", + "entropies_base = []\n", + "entropies_cov_dep = []\n", + "\n", + "T = 300.0 # K\n", + "P = ct.one_atm # Pa\n", + "for coverage in coverages:\n", + "\n", + " surf_base.TPX = T, P, f'X(1): {1.0 - coverage}, {surf_base.species_names[i_XCO_base]}: {coverage}'\n", + " surf_cov_dep.TPX = T, P, f'X(1): {1.0 - coverage}, {surf_cov_dep.species_names[i_XCO_cov_dep]}: {coverage}'\n", + "\n", + " enthalpies_base.append(surf_base.standard_enthalpies_RT[i_XCO_base])\n", + " enthalpies_cov_dep.append(surf_cov_dep.standard_enthalpies_RT[i_XCO_cov_dep])\n", + "\n", + " entropies_base.append(surf_base.standard_entropies_R[i_XCO_base])\n", + " entropies_cov_dep.append(surf_cov_dep.standard_entropies_R[i_XCO_cov_dep])\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f28971e5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(coverages, enthalpies_base, label='Base', color=colors[0])\n", + "plt.plot(coverages, enthalpies_cov_dep, label='Coverage Dependent', color=colors[1])\n", + "\n", + "\n", + "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n", + "# provide discrete enthalpy and entropy values calculated with DFT\n", + "# array of CO* coverage\n", + "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n", + "# array of nondimensionalized DFT-derived CO* enthalpy values\n", + "dft_hrts = [-112.8 , -112.8 , -108.78, -105.76, -106.11, -102.51, -96.83,\n", + " -85.03, -78.76, -72.19]\n", + "\n", + "plt.scatter(dft_covs, dft_hrts, label='DFT', color=colors[2], marker='x')\n", + "\n", + "\n", + "plt.xlabel('Coverage of XCO')\n", + "plt.ylabel('Standard Enthalpy / RT')\n", + "plt.title('Standard Enthalpy of XCO vs Coverage')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "8ef85c64", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(coverages, entropies_base, label='Base', color=colors[0])\n", + "plt.plot(coverages, entropies_cov_dep, label='Coverage Dependent', color=colors[1])\n", + "\n", + "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n", + "# provide discrete enthalpy and entropy values calculated with DFT\n", + "# array of CO* coverage\n", + "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n", + "\n", + "# array of nondimensionalized DFT-derived CO* entropy values\n", + "dft_srs = [2.46, 2.46, 3.79, 3.28, 3.14, 2.41, 2.19, 1.63, 1.6 , 1.12]\n", + "\n", + "plt.scatter(dft_covs, dft_srs, label='DFT', color=colors[2], marker='x')\n", + "\n", + "\n", + "plt.xlabel('Coverage of XCO')\n", + "plt.ylabel('Standard Entropy / R')\n", + "plt.title('Standard Entropy of XCO vs Coverage')\n", + "plt.legend()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06312712", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a846327b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "rmg_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.23" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 9a5490a51f7f7083be5e73445ec2bbb03a9d2ba2 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 10 Apr 2026 09:36:20 -0400 Subject: [PATCH 317/700] explain entropy offset int cov-dep notebook Added some explanation to the coverage-dependence example jupyter notebook that the difference in entropy is explained by the difference in enthalpy between Jongyoon's calculations and Kirk's --- ipython/coverage_dependent_thermo.ipynb | 3770 +++++++++++++++++++++-- 1 file changed, 3446 insertions(+), 324 deletions(-) diff --git a/ipython/coverage_dependent_thermo.ipynb b/ipython/coverage_dependent_thermo.ipynb index 7ceb64b41cb..28a93fd86a5 100644 --- a/ipython/coverage_dependent_thermo.ipynb +++ b/ipython/coverage_dependent_thermo.ipynb @@ -1,9 +1,17 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "11c0b84e-3287-4231-b37b-f27486a6d2e1", + "metadata": {}, + "source": [ + "# Example running RMG with a thermo lib with coverage-dependence" + ] + }, { "cell_type": "code", - "execution_count": 2, - "id": "2635da2c", + "execution_count": 1, + "id": "81ea402f-9a0b-4b67-83ae-8c22175be431", "metadata": {}, "outputs": [], "source": [ @@ -22,24 +30,39 @@ "source": [ "# Run baseline and coverage-dependent RMG jobs\n", "\n", - "This should take less than 5 minutes" + "Each of the runs should take less than 2 minutes" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "4daa7653", + "execution_count": 2, + "id": "0705ecb7-7fe2-48a9-b168-4884859dbe3f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Running RMG with input file at temp/cov_dep_rmg_run/input.py...\n", + "Running RMG with input file at temp/base_rmg_run/input.py...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":root:Removing old /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG_backup.log\n", + ":root:Moving /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG.log to /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG_backup.log\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Global RMG Settings:\n", " database.directory = /home/moon/rmg/RMG-database/input (Default, relative to RMG-Py source code)\n", " test_data.directory = /home/moon/rmg/RMG-Py/test/rmgpy/test_data (Default, relative to RMG-Py source code)\n", - "RMG execution initiated at Tue Apr 7 16:44:57 2026\n", + "RMG execution initiated at Thu Apr 16 08:23:40 2026\n", "\n", "#########################################################\n", "# RMG-Py - Reaction Mechanism Generator in Python #\n", @@ -51,18 +74,18 @@ "#########################################################\n", "\n", "The current git HEAD for RMG-Py is:\n", - "\tb'5bbd2707ea570c5a4fb681f0baa071fb1058ad24'\n", - "\tb'Mon Apr 6 15:20:46 2026 -0400'\n", + "\tb'40e65623c140cfd4ec877b939c23163cde07622e'\n", + "\tb'Fri Apr 10 09:36:20 2026 -0400'\n", "\n", "The current git HEAD for RMG-database is:\n", - "\tb'edfb0e5d715146fd0edd2201a0749217781af2b3'\n", - "\tb'Tue Apr 7 16:09:33 2026 -0400'\n", + "\tb'd772ee69457449709fd0ec02a1da3e7732944f84'\n", + "\tb'Thu Apr 16 08:21:16 2026 -0400'\n", "\n", - "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/input.py\"...\n", + "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/input.py\"...\n", "\n", "# Data sources\n", "database(\n", - " thermoLibraries=['covDepSurfaceThermoPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", + " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", " reactionLibraries = [\n", " ('Surface/Methane/Deutschmann_Pt', False),\n", " ('Surface/Methane/Vlachos_Pt111', False),\n", @@ -75,7 +98,7 @@ "\n", "catalystProperties( # default values for Pt(111)\n", " metal = 'Pt111',\n", - " thermoCoverageDependence = True,\n", + " thermoCoverageDependence = False,\n", ")\n", "\n", "# List of species\n", @@ -358,25 +381,7 @@ ")\n", "\n", "surfaceReactor(\n", - " temperature=(600,'K'),\n", - " initialPressure=(1.0, 'bar'),\n", - " initialGasMoleFractions={\n", - " \"CH4\": 0.108574,\n", - " \"O2\": 0.02088,\n", - " \"Ar\": 0.78547,\n", - " },\n", - " initialSurfaceCoverages={\n", - " \"X\": 1.0,\n", - " },\n", - " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", - " terminationConversion = { \"CH4\":0.95,},\n", - " terminationTime=(10., 's'),\n", - " # terminationConversion={'O2': 0.99,},\n", - " terminationRateRatio=0.05\n", - ")\n", - "\n", - "surfaceReactor(\n", - " temperature=(2000,'K'),\n", + " temperature=(1000,'K'),\n", " initialPressure=(1.0, 'bar'),\n", " initialGasMoleFractions={\n", " \"CH4\": 0.041866,\n", @@ -402,19 +407,9 @@ "model(\n", " toleranceKeepInEdge=0.0,\n", " toleranceMoveToCore=1e-1,\n", - "# inturrupt tolerance was 0.1 wout pruning, 1e8 w pruning on\n", " toleranceInterruptSimulation=1e8,\n", " maximumEdgeSpecies=500000,\n", - " maxNumSpecies=44,\n", - "# PRUNING: uncomment to prune\n", - "# minCoreSizeForPrune=50,\n", - "# prune before simulation based on thermo\n", - "# toleranceThermoKeepSpeciesInEdge=0.5,\n", - "# prune rxns from edge that dont move into core\n", - "# minSpeciesExistIterationsForPrune=2,\n", - "# FILTERING: set so threshold is slightly larger than max rate constants\n", - "# filterReactions=True,\n", - "# filterThreshold=5e8, # default value\n", + " maxNumSpecies=40,\n", ")\n", "\n", "options(\n", @@ -441,62 +436,81 @@ "\n", "Surface reaction system 1\n", "Gas phase mole fractions:\n", - " CH4 0.11867\n", - " O2 0.022822\n", - " Ar 0.85851\n", - "Total gas phase: 1 moles\n", - "Pressure: 1e+05 Pa\n", - "Temperature: 600.0 K\n", - "Reactor volume: 0.0499 m3\n", - "Surface/volume ratio: 1e+05 m2/m3\n", - "Surface site density: 2.48e-05 mol/m2\n", - "Surface sites in reactor: 0.124 moles\n", - "Initial surface coverages (and amounts):\n", - " X 1 = 0.12387 moles\n", - "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n", - "\n", - "\n", - "Surface reaction system 2\n", - "Gas phase mole fractions:\n", " CH4 0.20129\n", " O2 0.1677\n", " Ar 0.63101\n", "Total gas phase: 1 moles\n", "Pressure: 1e+05 Pa\n", - "Temperature: 2000.0 K\n", - "Reactor volume: 0.166 m3\n", + "Temperature: 1000.0 K\n", + "Reactor volume: 0.0831 m3\n", "Surface/volume ratio: 1e+05 m2/m3\n", "Surface site density: 2.48e-05 mol/m2\n", - "Surface sites in reactor: 0.413 moles\n", + "Surface sites in reactor: 0.206 moles\n", "Initial surface coverages (and amounts):\n", - " X 1 = 0.4129 moles\n", + " X 1 = 0.20645 moles\n", "Warning: Generate Output HTML option was turned on. Note that this will slow down model generation.\n", "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n", "\n", "Loading transport library from PrimaryTransportLibrary.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", "Loading transport library from OneDMinN2.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", - "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", "Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", - "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n", + "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loading kinetics library Surface/Methane/Deutschmann_Pt from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Deutschmann_Pt/reactions.py...\n", "Loading kinetics library Surface/Methane/Vlachos_Pt111 from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Vlachos_Pt111/reactions.py...\n", "Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n", - "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n", + "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n", - "Loading thermodynamics library from covDepSurfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from surfaceThermoCovDepPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", "Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", - "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", "Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", - "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n", + "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Trimolecular reactions are turned on\n", - "Adding rate rules from training set in kinetics families...\n", + "Adding rate rules from training set in kinetics families...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", - "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), thermo_coverage_dependence={}, comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n", "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", - "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), thermo_coverage_dependence={}, comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n", "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", @@ -620,7 +634,13 @@ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", - "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Filling in rate rules in kinetics families by averaging...\n" ] }, @@ -1439,40 +1459,130 @@ "Initialization complete. Starting model generation.\n", "\n", "Generating initial reactions...\n", - "For reaction generation 1 process is used.\n", - "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction O2(3) + CO2(4) <=> [O]OO[C]=O(82), Ea raised from 413.6 to 418.2 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CO2(4) <=> [O]OC([O])=O(83), Ea raised from 298.1 to 300.3 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + C2H6(8) <=> HO2(50) + C2H5(13), Ea raised from 207.3 to 215.7 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH2O(9) <=> HO2(50) + HCO(15), Ea raised from 158.7 to 162.5 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH2O(9) <=> [CH2]OO[O](84), Ea raised from 358.5 to 363.2 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH2O(9) <=> [O]CO[O](85), Ea raised from 172.4 to 176.3 kJ/mol to match endothermicity of reaction.\n", - "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47), Ea raised from 178.9 to 195.8 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59), Ea raised from 157.1 to 167.1 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH3CHO(16) <=> C[CH]OO[O](88), Ea raised from 373.4 to 376.8 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + CH3CHO(16) <=> CC([O])O[O](89), Ea raised from 176.0 to 178.9 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + OH(17) <=> O=O(90) + OH(17), Ea raised from 94.3 to 94.3 kJ/mol to match endothermicity of reaction.\n", "For reaction O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60), Ea raised from 251.1 to 256.1 kJ/mol to match endothermicity of reaction.\n", - "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n", - "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction CO2(4) + CO2(4) <=> O=C1OOC1=O(97), Ea raised from 333.9 to 341.4 kJ/mol to match endothermicity of reaction.\n", "For reaction CO2(4) + CH2O(9) <=> O=C1COO1(106), Ea raised from 264.6 to 271.9 kJ/mol to match endothermicity of reaction.\n", - "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction H(12) + CO2(4) <=> HCOO(38), Ea raised from 47.9 to 52.0 kJ/mol to match endothermicity of reaction.\n", - "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129), Ea raised from 271.9 to 279.8 kJ/mol to match endothermicity of reaction.\n", - "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n", - "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction CH2O(9) + CH2O(9) <=> C1COO1(169), Ea raised from 222.9 to 224.2 kJ/mol to match endothermicity of reaction.\n", - "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n", - "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n", - "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n", - "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n", - "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227), Ea raised from 83.9 to 85.5 kJ/mol to match endothermicity of reaction.\n", "For reaction OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246), Ea raised from 247.3 to 247.4 kJ/mol to match endothermicity of reaction.\n", - "Generating thermo for new species...\n", + "Generating thermo for new species...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Summary of Secondary Model Edge Enlargement\n", "---------------------------------\n", @@ -2338,11 +2448,23 @@ "Saving annotated version of Chemkin files...\n", "Chemkin file contains 545 reactions.\n", "Chemkin file contains 180 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Updating RMG execution statistics...\n", " Execution time (DD:HH:MM:SS): 00:00:00:39\n", - " Memory used: 884.97 MB\n", + " Memory used: 884.56 MB\n", "\n", "Making seed mechanism...\n", "Beginning model generation stage 1...\n", @@ -2351,8 +2473,14 @@ "Conducting simulation of reaction system 1...\n", "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", "Reached max number of objects...preparing to terminate\n", - "At time 4.6109e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10030650099699316 exceeded the minimum rate for moving to model core of 0.1\n", - "terminating simulation due to interrupt...\n", + "At time 1.1710e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10031037350888891 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "\n", "Adding species O[CH]=[Pt](229) to model core\n", @@ -2379,7 +2507,13 @@ " The model edge has 218 species and 605 reactions\n", "\n", "\n", - "For reaction generation 1 process is used.\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "For reaction OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229), Ea raised from 48.7 to 53.2 kJ/mol to match endothermicity of reaction.\n", "For reaction H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 143.8 to 146.0 kJ/mol to match endothermicity of reaction.\n", "For reaction X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 58.3 to 62.4 kJ/mol to match endothermicity of reaction.\n", @@ -2468,17 +2602,36 @@ "Saving annotated version of Chemkin files...\n", "Chemkin file contains 545 reactions.\n", "Chemkin file contains 228 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:00:50\n", - " Memory used: 886.73 MB\n", + " Execution time (DD:HH:MM:SS): 00:00:00:40\n", + " Memory used: 886.13 MB\n", "\n", - "Conducting simulation of reaction system 2...\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", "Reached max number of objects...preparing to terminate\n", - "At time 2.3883e-09 s, species O[C]#[Pt](228) at rate ratio 0.10006247522197795 exceeded the minimum rate for moving to model core of 0.1\n", - "terminating simulation due to interrupt...\n", + "At time 7.1461e-10 s, species O[C]#[Pt](228) at rate ratio 0.1008383566792051 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "\n", "Adding species O[C]#[Pt](228) to model core\n", @@ -2517,7 +2670,13 @@ " The model edge has 228 species and 633 reactions\n", "\n", "\n", - "For reaction generation 1 process is used.\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Generating thermo for new species...\n", "\n", "Summary of Secondary Model Edge Enlargement\n", @@ -2571,20 +2730,2985 @@ "Saving annotated version of Chemkin files...\n", "Chemkin file contains 545 reactions.\n", "Chemkin file contains 249 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:01:03\n", - " Memory used: 886.74 MB\n", + " Execution time (DD:HH:MM:SS): 00:00:00:42\n", + " Memory used: 886.13 MB\n", "\n", "Making seed mechanism...\n", "Conducting simulation of reaction system 1...\n", - "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", - "Reached max number of objects...preparing to terminate\n", - "At time 7.4162e-09 s, species COOH_X(37) at rate ratio 0.1003670787675018 exceeded the minimum rate for moving to model core of 0.1\n", - "terminating simulation due to interrupt...\n", - "\n", - "\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reached max number of objects...preparing to terminate\n", + "At time 4.0489e-09 s, species COOH_X(37) at rate ratio 0.1000386630394929 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species COOH_X(37) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " COOH_X(37)\n", + "Created 0 new edge species\n", + "Moved 11 reactions from edge to core\n", + " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n", + " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n", + " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n", + " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n", + " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n", + " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n", + " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n", + " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 233 species and 643 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 16 new edge species\n", + " O=C(O)C(=O)[O][Pt](270)\n", + " O=C(O)O[C](=O)[Pt](271)\n", + " O=C(O)[C](=O)[Pt](272)\n", + " O=C(O)[CH2][Pt](273)\n", + " CC(=O)O.[Pt](274)\n", + " O=C(O)[CH]=[Pt](275)\n", + " O=C(O)[C]#[Pt](276)\n", + " O=C(O)O(277)\n", + " OO[C](O)=[Pt](278)\n", + " O=C(O)O.[Pt](279)\n", + " O=CC(=O)O(280)\n", + " O=CC(=O)O.[Pt](281)\n", + " O=C(O)[CH](O)[Pt](282)\n", + " O=C(O)[C](O)=[Pt](283)\n", + " O=C(O)C(=O)O(284)\n", + " O=C(O)C(=O)O.[Pt](285)\n", + "Added 0 new core reactions\n", + "Created 55 new edge reactions\n", + " X(1) + X(1) + O=CO(98) <=> HX(21) + COOH_X(37)\n", + " X(1) + O[C](O)=[Pt](267) <=> HX(21) + COOH_X(37)\n", + " HX(21) + COOH_X(37) <=> X(1) + O=CO.[Pt](251)\n", + " COX(23) + O=C(O)[O][Pt](232) <=> CO2X(22) + COOH_X(37)\n", + " COX(23) + O=[C]([Pt])OO(233) <=> CO2X(22) + COOH_X(37)\n", + " X(1) + O=C(O)C(=O)[O][Pt](270) <=> CO2X(22) + COOH_X(37)\n", + " X(1) + O=C(O)O[C](=O)[Pt](271) <=> CO2X(22) + COOH_X(37)\n", + " COX(23) + OO[C]#[Pt](242) <=> COX(23) + COOH_X(37)\n", + " X(1) + O=C(O)[C](=O)[Pt](272) <=> COX(23) + COOH_X(37)\n", + " O=CO.[Pt](251) + CH3X(27) <=> COOH_X(37) + CH4X(24)\n", + " O[O][Pt](246) + COX(23) <=> OX(25) + COOH_X(37)\n", + " X(1) + O=C(O)[O][Pt](232) <=> OX(25) + COOH_X(37)\n", + " COOH_X(37) + CH2X(26) <=> COX(23) + CH2OH_X(48)\n", + " CHX(28) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH2X(26)\n", + " CHX(28) + O=CO.[Pt](251) <=> COOH_X(37) + CH2X(26)\n", + " X(1) + O=C(O)[CH2][Pt](273) <=> COOH_X(37) + CH2X(26)\n", + " CH2X(26) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH3X(27)\n", + " COX(23) + CH3OH_X(43) <=> COOH_X(37) + CH3X(27)\n", + " CH2X(26) + O=CO.[Pt](251) <=> COOH_X(37) + CH3X(27)\n", + " X(1) + X(1) + CC(=O)O(77) <=> COOH_X(37) + CH3X(27)\n", + " X(1) + CC(=O)O.[Pt](274) <=> COOH_X(37) + CH3X(27)\n", + " CX(29) + O[C](O)=[Pt](267) <=> CHX(28) + COOH_X(37)\n", + " CX(29) + O=CO.[Pt](251) <=> CHX(28) + COOH_X(37)\n", + " X(1) + O=C(O)[CH]=[Pt](275) <=> CHX(28) + COOH_X(37)\n", + " X(1) + O=C(O)[C]#[Pt](276) <=> CX(29) + COOH_X(37)\n", + " OX(25) + O[C](O)=[Pt](267) <=> OHX(31) + COOH_X(37)\n", + " OO.[Pt](259) + COX(23) <=> OHX(31) + COOH_X(37)\n", + " OX(25) + O=CO.[Pt](251) <=> OHX(31) + COOH_X(37)\n", + " X(1) + X(1) + O=C(O)O(277) <=> OHX(31) + COOH_X(37)\n", + " X(1) + OO[C](O)=[Pt](278) <=> OHX(31) + COOH_X(37)\n", + " X(1) + O=C(O)O.[Pt](279) <=> OHX(31) + COOH_X(37)\n", + " OHX(31) + O=CO.[Pt](251) <=> H2OX(32) + COOH_X(37)\n", + " COX(23) + OO[CH]=[Pt](250) <=> CHOX(33) + COOH_X(37)\n", + " COX(23) + O[C](O)=[Pt](267) <=> CHOX(33) + COOH_X(37)\n", + " CHOX(33) + COOH_X(37) <=> CO2X(22) + CH2O_X(46)\n", + " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n", + " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n", + " X(1) + X(1) + O=CC(=O)O(280) <=> CHOX(33) + COOH_X(37)\n", + " X(1) + O=CC(=O)O.[Pt](281) <=> CHOX(33) + COOH_X(37)\n", + " COOH_X(37) + O[CH]=[Pt](229) <=> COX(23) + O[CH](O)[Pt](260)\n", + " CHX(28) + OO[C](O)=[Pt](278) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C](O)=[Pt](267) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " COOH_X(37) + O[CH]=[Pt](229) <=> CO2X(22) + CH2OH_X(48)\n", + " CHX(28) + O=C(O)O.[Pt](279) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O=CO.[Pt](251) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " X(1) + O=C(O)[CH](O)[Pt](282) <=> COOH_X(37) + O[CH]=[Pt](229)\n", + " COX(23) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " CX(29) + OO[C](O)=[Pt](278) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " CX(29) + O=C(O)O.[Pt](279) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " X(1) + O=C(O)[C](O)=[Pt](283) <=> O[C]#[Pt](228) + COOH_X(37)\n", + " COX(23) + OO[C](O)=[Pt](278) <=> COOH_X(37) + COOH_X(37)\n", + " COOH_X(37) + COOH_X(37) <=> CO2X(22) + O=CO.[Pt](251)\n", + " COX(23) + O=C(O)O.[Pt](279) <=> COOH_X(37) + COOH_X(37)\n", + " X(1) + X(1) + O=C(O)C(=O)O(284) <=> COOH_X(37) + COOH_X(37)\n", + " X(1) + O=C(O)C(=O)O.[Pt](285) <=> COOH_X(37) + COOH_X(37)\n", + "\n", + "After model enlargement:\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 249 species and 698 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:44\n", + " Memory used: 886.13 MB\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At time 6.5421e-06 s, reached target termination RateRatio: 0.049746103782174166\n", + " CH4(2) conversion: 0.7292 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "For reaction generation 1 process is used.\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 249 species and 698 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:46\n", + " Memory used: 890.24 MB\n", + "\n", + "Making seed mechanism...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Performing final model checks...\n", + "No collision rate violators found in the model's core.\n", + "\n", + "MODEL GENERATION COMPLETED\n", + "\n", + "The final model core has 39 species and 148 reactions\n", + "The final model edge has 249 species and 698 reactions\n", + "\n", + "RMG execution terminated at Thu Apr 16 08:24:27 2026\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running RMG with input file at temp/cov_dep_rmg_run/input.py...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":root:Removing old /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG_backup.log\n", + ":root:Moving /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG.log to /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG_backup.log\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Global RMG Settings:\n", + " database.directory = /home/moon/rmg/RMG-database/input (Default, relative to RMG-Py source code)\n", + " test_data.directory = /home/moon/rmg/RMG-Py/test/rmgpy/test_data (Default, relative to RMG-Py source code)\n", + "RMG execution initiated at Thu Apr 16 08:24:31 2026\n", + "\n", + "#########################################################\n", + "# RMG-Py - Reaction Mechanism Generator in Python #\n", + "# Version: 3.3.0 #\n", + "# Authors: RMG Developers (rmg_dev@mit.edu) #\n", + "# P.I.s: William H. Green (whgreen@mit.edu) #\n", + "# Richard H. West (r.west@neu.edu) #\n", + "# Website: http://reactionmechanismgenerator.github.io/ #\n", + "#########################################################\n", + "\n", + "The current git HEAD for RMG-Py is:\n", + "\tb'40e65623c140cfd4ec877b939c23163cde07622e'\n", + "\tb'Fri Apr 10 09:36:20 2026 -0400'\n", + "\n", + "The current git HEAD for RMG-database is:\n", + "\tb'd772ee69457449709fd0ec02a1da3e7732944f84'\n", + "\tb'Thu Apr 16 08:21:16 2026 -0400'\n", + "\n", + "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/input.py\"...\n", + "\n", + "# Data sources\n", + "database(\n", + " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", + " reactionLibraries = [\n", + " ('Surface/Methane/Deutschmann_Pt', False),\n", + " ('Surface/Methane/Vlachos_Pt111', False),\n", + " 'BurkeH2O2inArHe'],\n", + " seedMechanisms = [],\n", + " kineticsDepositories = ['training'],\n", + " kineticsFamilies =['surface','default'],\n", + " kineticsEstimator = 'rate rules',\n", + ")\n", + "\n", + "catalystProperties( # default values for Pt(111)\n", + " metal = 'Pt111',\n", + " thermoCoverageDependence = True,\n", + ")\n", + "\n", + "# List of species\n", + "species(\n", + " label='X',\n", + " reactive=True,\n", + " structure=adjacencyList(\"1 X u0\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH4',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH4]\"),\n", + ")\n", + "species(\n", + " label='O2',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u1 p2 c0 {2,S}\n", + " 2 O u1 p2 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='Ar',\n", + " reactive=False,\n", + " structure=SMILES(\"[Ar]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO2',\n", + " reactive=True,\n", + " structure=SMILES(\"O=C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2O',\n", + " reactive=True,\n", + " structure=SMILES(\"O\"),\n", + ")\n", + "\n", + "species(\n", + " label='H2',\n", + " reactive=True,\n", + " structure=SMILES(\"[H][H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CO',\n", + " reactive=True,\n", + " structure=SMILES(\"[C-]#[O+]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H6',\n", + " reactive=True,\n", + " structure=SMILES(\"CC\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH2O',\n", + " reactive=True,\n", + " structure=SMILES(\"C=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH3]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C3H8',\n", + " reactive=True,\n", + " structure=SMILES(\"CCC\"),\n", + ")\n", + "\n", + "species(\n", + " label='H',\n", + " reactive=True,\n", + " structure=SMILES(\"[H]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H5',\n", + " reactive=True,\n", + " structure=SMILES(\"C[CH2]\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OH',\n", + " reactive=True,\n", + " structure=SMILES(\"CO\"),\n", + ")\n", + "\n", + "species(\n", + " label='HCO',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CHO',\n", + " reactive=True,\n", + " structure=SMILES(\"CC=O\"),\n", + ")\n", + "\n", + "species(\n", + " label='OH',\n", + " reactive=True,\n", + " structure=SMILES(\"[OH]\"),\n", + ")\n", + "\n", + "species(\n", + " label='C2H4',\n", + " reactive=True,\n", + " structure=SMILES(\"C=C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3CH',\n", + " reactive=True,\n", + " structure=SMILES(\"[CH]C\"),\n", + ")\n", + "\n", + "species(\n", + " label='CH3OO',\n", + " reactive=True,\n", + " structure=SMILES(\"CO[O]\"),\n", + ")\n", + "\n", + "species(\n", + " label='HX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CO2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {3,D}\n", + " 2 O u0 p2 c0 {3,D}\n", + " 3 C u0 p0 c0 {1,D} {2,D}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='COX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,D}\n", + " 3 X u0 p0 c0 {2,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH4X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 H u0 p0 c0 {1,S}\n", + " 6 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0 {1,D}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CH3X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 H u0 p0 c0 {1,S}\n", + " 5 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,S} {3,T}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,T}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 C u0 p0 c0 {2,Q}\n", + " 2 X u0 p0 c0 {1,Q}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2X',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 H u0 p0 c0 {2,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='OHX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 X u0 p0 c0 {1,S}\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='H2OX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,S} {3,S}\n", + " 2 H u0 p0 c0 {1,S}\n", + " 3 H u0 p0 c0 {1,S}\n", + " 4 X u0 p0 c0\n", + " '''),\n", + ")\n", + "\n", + "species(\n", + " label='CHOX',\n", + " reactive=True,\n", + " structure=adjacencyList(\n", + " '''\n", + " 1 O u0 p2 c0 {2,D}\n", + " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n", + " 3 H u0 p0 c0 {2,S}\n", + " 4 X u0 p0 c0 {2,S}\n", + " '''),\n", + ")\n", + "\n", + "surfaceReactor(\n", + " temperature=(1000,'K'),\n", + " initialPressure=(1.0, 'bar'),\n", + " initialGasMoleFractions={\n", + " \"CH4\": 0.041866,\n", + " \"O2\": 0.03488,\n", + " \"Ar\": 0.131246,\n", + " },\n", + " initialSurfaceCoverages={\n", + " \"X\": 1.0,\n", + " },\n", + " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", + " terminationConversion = { \"CH4\":0.95,},\n", + " terminationTime=(10., 's'),\n", + " # terminationConversion={'O2': 0.99,},\n", + " terminationRateRatio=0.05\n", + ")\n", + "\n", + "\n", + "simulator(\n", + " atol=1e-18,\n", + " rtol=1e-12,\n", + ")\n", + "\n", + "model(\n", + " toleranceKeepInEdge=0.0,\n", + " toleranceMoveToCore=1e-1,\n", + " toleranceInterruptSimulation=1e8,\n", + " maximumEdgeSpecies=500000,\n", + " maxNumSpecies=40,\n", + ")\n", + "\n", + "options(\n", + " units='si',\n", + " saveRestartPeriod=None,\n", + " generateOutputHTML=True,\n", + " generatePlots=False,\n", + " saveEdgeSpecies=True,\n", + " saveSimulationProfiles=True,\n", + ")\n", + "\n", + "generatedSpeciesConstraints(\n", + " allowed=['input species','reaction libraries'],\n", + " maximumSurfaceSites=1,\n", + ")\n", + "\n", + "Using catalyst surface properties from metal 'Pt111'.\n", + "Using binding energies:\n", + "{'H': (-2.75368,'eV/molecule'), 'C': (-7.02516,'eV/molecule'), 'N': (-4.63225,'eV/molecule'), 'O': (-3.81153,'eV/molecule')}\n", + "Using surface site density: (2.483e-09,'mol/cm^2')\n", + "Coverage dependence is turned OFF\n", + "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n", + "\n", + "\n", + "Surface reaction system 1\n", + "Gas phase mole fractions:\n", + " CH4 0.20129\n", + " O2 0.1677\n", + " Ar 0.63101\n", + "Total gas phase: 1 moles\n", + "Pressure: 1e+05 Pa\n", + "Temperature: 1000.0 K\n", + "Reactor volume: 0.0831 m3\n", + "Surface/volume ratio: 1e+05 m2/m3\n", + "Surface site density: 2.48e-05 mol/m2\n", + "Surface sites in reactor: 0.206 moles\n", + "Initial surface coverages (and amounts):\n", + " X 1 = 0.20645 moles\n", + "Warning: Generate Output HTML option was turned on. Note that this will slow down model generation.\n", + "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n", + "\n", + "Loading transport library from PrimaryTransportLibrary.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from OneDMinN2.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n", + "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading kinetics library Surface/Methane/Deutschmann_Pt from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Deutschmann_Pt/reactions.py...\n", + "Loading kinetics library Surface/Methane/Vlachos_Pt111 from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Vlachos_Pt111/reactions.py...\n", + "Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n", + "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n", + "Loading thermodynamics library from surfaceThermoCovDepPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n", + "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Trimolecular reactions are turned on\n", + "Adding rate rules from training set in kinetics families...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n", + "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n", + "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filling in rate rules in kinetics families by averaging...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=9.78829e-18): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.30526e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.38146e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.43874e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.11249e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=5.2787e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.26538e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.9079e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.53573e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.43345e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.47964e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.34061e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.87325e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.20362e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.39961e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.56405e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.40143e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.71804e-22): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.97734e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.47076e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=6.10745e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.69387e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.30536e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.51603e-20): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n", + " fu = func(x, *args)\n", + "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n", + " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n", + "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=1.08953e-21): result may not be accurate.\n", + " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Adding reaction library Surface/Methane/Deutschmann_Pt to model edge...\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 18 new edge reactions\n", + " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n", + " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n", + " X(1) + H2O(5) <=> H2OX(32)\n", + " X(1) + CO2(4) <=> CO2X(22)\n", + " X(1) + CO(7) <=> COX(23)\n", + " OX(25) + CX(29) <=> X(1) + COX(23)\n", + " OX(25) + COX(23) <=> X(1) + CO2X(22)\n", + " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n", + " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n", + " X(1) + CHX(28) <=> HX(21) + CX(29)\n", + " OX(25) + HX(21) <=> X(1) + OHX(31)\n", + " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + " H2(6) + CX(29) <=> CH2X(26)\n", + " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 34 species and 18 reactions\n", + "\n", + "Adding reaction library Surface/Methane/Vlachos_Pt111 to model edge...\n", + "This library reaction was not new: X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + "This library reaction was not new: X(1) + CO2(4) <=> CO2X(22)\n", + "This library reaction was not new: X(1) + CO2X(22) <=> OX(25) + COX(23)\n", + "This library reaction was not new: X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + "This library reaction was not new: X(1) + OHX(31) <=> OX(25) + HX(21)\n", + "This library reaction was not new: X(1) + H2OX(32) <=> HX(21) + OHX(31)\n", + "This library reaction was not new: OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + "This library reaction was not new: X(1) + H2O(5) <=> H2OX(32)\n", + "This library reaction was not new: HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + "This library reaction was not new: X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + "This library reaction was not new: X(1) + CH3X(27) <=> HX(21) + CH2X(26)\n", + "This library reaction was not new: X(1) + CH2X(26) <=> HX(21) + CHX(28)\n", + "This library reaction was not new: X(1) + CHX(28) <=> HX(21) + CX(29)\n", + "This library reaction was not new: X(1) + COX(23) <=> OX(25) + CX(29)\n", + "Warning: Species CO from reaction library Surface/Methane/Vlachos_Pt111 is globally forbidden. It will behave as an inert unless found in a seed mechanism or reaction library.\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 15 new edge species\n", + " O(34)\n", + " CO(35)\n", + " COOH(36)\n", + " COOH_X(37)\n", + " HCOO(38)\n", + " HCOO_XX(39)\n", + " C(40)\n", + " CH(41)\n", + " CH2(42)\n", + " CH3OH_X(43)\n", + " CH3O(44)\n", + " CH3O_X(45)\n", + " CH2O_X(46)\n", + " CH2OH(47)\n", + " CH2OH_X(48)\n", + "Added 0 new core reactions\n", + "Created 37 new edge reactions\n", + " X(1) + O(34) <=> OX(25)\n", + " X(1) + CO(35) <=> COX(23)\n", + " X(1) + OH(17) <=> OHX(31)\n", + " X(1) + H(12) <=> HX(21)\n", + " X(1) + COOH(36) <=> COOH_X(37)\n", + " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n", + " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n", + " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n", + " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n", + " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n", + " X(1) + X(1) + HCOO(38) <=> HCOO_XX(39)\n", + " HX(21) + CO2X(22) <=> HCOO_XX(39)\n", + " X(1) + OHX(31) + CO2X(22) <=> OX(25) + HCOO_XX(39)\n", + " X(1) + C(40) <=> CX(29)\n", + " X(1) + CH(41) <=> CHX(28)\n", + " X(1) + CH2(42) <=> CH2X(26)\n", + " X(1) + CH3(10) <=> CH3X(27)\n", + " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n", + " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n", + " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n", + " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n", + " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n", + " HX(21) + COX(23) <=> OX(25) + CHX(28)\n", + " HX(21) + COX(23) <=> OHX(31) + CX(29)\n", + " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n", + " X(1) + CH3OH(14) <=> CH3OH_X(43)\n", + " X(1) + CH3O(44) <=> CH3O_X(45)\n", + " X(1) + CH2O(9) <=> CH2O_X(46)\n", + " X(1) + HCO(15) <=> CHOX(33)\n", + " X(1) + CH2OH(47) <=> CH2OH_X(48)\n", + " X(1) + CH3OH_X(43) <=> HX(21) + CH3O_X(45)\n", + " X(1) + CH3O_X(45) <=> HX(21) + CH2O_X(46)\n", + " X(1) + CH2O_X(46) <=> HX(21) + CHOX(33)\n", + " X(1) + CHOX(33) <=> HX(21) + COX(23)\n", + " X(1) + CH3OH_X(43) <=> HX(21) + CH2OH_X(48)\n", + " X(1) + CH2OH_X(48) <=> HX(21) + CH2O_X(46)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 49 species and 55 reactions\n", + "\n", + "Adding reaction library BurkeH2O2inArHe to model edge...\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 3 new edge species\n", + " He(49)\n", + " HO2(50)\n", + " H2O2(51)\n", + "Added 0 new core reactions\n", + "Created 30 new edge reactions\n", + " O2(3) + H(12) <=> O(34) + OH(17)\n", + " O(34) + H2(6) <=> H(12) + OH(17)\n", + " OH(17) + H2(6) <=> H(12) + H2O(5)\n", + " OH(17) + OH(17) <=> O(34) + H2O(5)\n", + " H2(6) <=> H(12) + H(12)\n", + " Ar + H2(6) <=> Ar + H(12) + H(12)\n", + " He(49) + H2(6) <=> He(49) + H(12) + H(12)\n", + " O(34) + O(34) <=> O2(3)\n", + " Ar + O(34) + O(34) <=> Ar + O2(3)\n", + " He(49) + O(34) + O(34) <=> He(49) + O2(3)\n", + " O(34) + H(12) <=> OH(17)\n", + " H2O(5) <=> H(12) + OH(17)\n", + " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n", + " O2(3) + H(12) <=> HO2(50)\n", + " H(12) + HO2(50) <=> O2(3) + H2(6)\n", + " H(12) + HO2(50) <=> OH(17) + OH(17)\n", + " O(34) + HO2(50) <=> O2(3) + OH(17)\n", + " OH(17) + HO2(50) <=> O2(3) + H2O(5)\n", + " HO2(50) + HO2(50) <=> O2(3) + H2O2(51)\n", + " H2O2(51) <=> OH(17) + OH(17)\n", + " H(12) + H2O2(51) <=> OH(17) + H2O(5)\n", + " H(12) + H2O2(51) <=> HO2(50) + H2(6)\n", + " O(34) + H2O2(51) <=> OH(17) + HO2(50)\n", + " OH(17) + H2O2(51) <=> HO2(50) + H2O(5)\n", + " H(12) + HO2(50) <=> O(34) + H2O(5)\n", + " H(12) + HO2(50) <=> H2O2(51)\n", + " OH(17) + OH(17) <=> O2(3) + H2(6)\n", + " O(34) + H2O(5) <=> O2(3) + H2(6)\n", + " O(34) + H2O2(51) <=> O2(3) + H2O(5)\n", + " O(34) + OH(17) <=> HO2(50)\n", + "\n", + "After model enlargement:\n", + " The model core has 0 species and 0 reactions\n", + " The model edge has 52 species and 85 reactions\n", + "\n", + "Warning: Input species CH3CH is globally forbidden but will be explicitly allowed since input species are permitted by the user's species constraints\n", + "NOT generating reactions for unreactive species Ar\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " Ar\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 1 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "NOT generating reactions for unreactive species Ne\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " Ne\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 2 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "NOT generating reactions for unreactive species N2\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " N2\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 3 species and 0 reactions\n", + " The model edge has 51 species and 85 reactions\n", + "\n", + "\n", + "Adding species X(1) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " X(1)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 4 species and 0 reactions\n", + " The model edge has 50 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH4(2) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH4(2)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 5 species and 0 reactions\n", + " The model edge has 49 species and 85 reactions\n", + "\n", + "\n", + "Adding species O2(3) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O2(3)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 6 species and 0 reactions\n", + " The model edge has 48 species and 85 reactions\n", + "\n", + "\n", + "Adding species CO2(4) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO2(4)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 7 species and 0 reactions\n", + " The model edge has 47 species and 85 reactions\n", + "\n", + "\n", + "Adding species H2O(5) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2O(5)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 8 species and 0 reactions\n", + " The model edge has 46 species and 85 reactions\n", + "\n", + "\n", + "Adding species H2(6) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2(6)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 9 species and 0 reactions\n", + " The model edge has 45 species and 85 reactions\n", + "\n", + "\n", + "Adding species CO(7) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO(7)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 10 species and 0 reactions\n", + " The model edge has 44 species and 85 reactions\n", + "\n", + "\n", + "Adding species C2H6(8) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H6(8)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 11 species and 0 reactions\n", + " The model edge has 43 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH2O(9) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH2O(9)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 12 species and 0 reactions\n", + " The model edge has 42 species and 85 reactions\n", + "\n", + "\n", + "Adding species CH3(10) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3(10)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 13 species and 0 reactions\n", + " The model edge has 41 species and 85 reactions\n", + "\n", + "\n", + "Adding species C3H8(11) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C3H8(11)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 14 species and 0 reactions\n", + " The model edge has 40 species and 85 reactions\n", + "\n", + "\n", + "Adding species H(12) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H(12)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " H2(6) <=> H(12) + H(12)\n", + " Ar + H2(6) <=> Ar + H(12) + H(12)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 15 species and 2 reactions\n", + " The model edge has 39 species and 83 reactions\n", + "\n", + "\n", + "Adding species C2H5(13) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H5(13)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 16 species and 2 reactions\n", + " The model edge has 38 species and 83 reactions\n", + "\n", + "\n", + "Adding species CH3OH(14) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3OH(14)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 17 species and 2 reactions\n", + " The model edge has 37 species and 83 reactions\n", + "\n", + "\n", + "Adding species HCO(15) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " HCO(15)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 18 species and 2 reactions\n", + " The model edge has 36 species and 83 reactions\n", + "\n", + "\n", + "Adding species CH3CHO(16) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3CHO(16)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 19 species and 2 reactions\n", + " The model edge has 35 species and 83 reactions\n", + "\n", + "\n", + "Adding species OH(17) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OH(17)\n", + "Created 0 new edge species\n", + "Moved 4 reactions from edge to core\n", + " OH(17) + H2(6) <=> H(12) + H2O(5)\n", + " H2O(5) <=> H(12) + OH(17)\n", + " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n", + " OH(17) + OH(17) <=> O2(3) + H2(6)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 20 species and 6 reactions\n", + " The model edge has 34 species and 79 reactions\n", + "\n", + "\n", + "Adding species C2H4(18) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " C2H4(18)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 21 species and 6 reactions\n", + " The model edge has 33 species and 79 reactions\n", + "\n", + "\n", + "Adding species CH3CH(19) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3CH(19)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 22 species and 6 reactions\n", + " The model edge has 32 species and 79 reactions\n", + "\n", + "\n", + "Adding species CH3OO(20) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3OO(20)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 23 species and 6 reactions\n", + " The model edge has 31 species and 79 reactions\n", + "\n", + "\n", + "Adding species HX(21) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " HX(21)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n", + " X(1) + H(12) <=> HX(21)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 24 species and 8 reactions\n", + " The model edge has 30 species and 77 reactions\n", + "\n", + "\n", + "Adding species CO2X(22) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CO2X(22)\n", + "Created 0 new edge species\n", + "Moved 1 reactions from edge to core\n", + " X(1) + CO2(4) <=> CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 25 species and 9 reactions\n", + " The model edge has 29 species and 76 reactions\n", + "\n", + "\n", + "Adding species COX(23) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " COX(23)\n", + "Created 0 new edge species\n", + "Moved 1 reactions from edge to core\n", + " X(1) + CO(7) <=> COX(23)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 26 species and 10 reactions\n", + " The model edge has 28 species and 75 reactions\n", + "\n", + "\n", + "Adding species CH4X(24) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH4X(24)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 27 species and 10 reactions\n", + " The model edge has 27 species and 75 reactions\n", + "\n", + "\n", + "Adding species OX(25) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OX(25)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n", + " OX(25) + COX(23) <=> X(1) + CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 28 species and 12 reactions\n", + " The model edge has 26 species and 73 reactions\n", + "\n", + "\n", + "Adding species CH2X(26) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH2X(26)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 29 species and 12 reactions\n", + " The model edge has 25 species and 73 reactions\n", + "\n", + "\n", + "Adding species CH3X(27) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CH3X(27)\n", + "Created 0 new edge species\n", + "Moved 3 reactions from edge to core\n", + " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n", + " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n", + " X(1) + CH3(10) <=> CH3X(27)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 30 species and 15 reactions\n", + " The model edge has 24 species and 70 reactions\n", + "\n", + "\n", + "Adding species CHX(28) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CHX(28)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n", + " HX(21) + COX(23) <=> OX(25) + CHX(28)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 31 species and 17 reactions\n", + " The model edge has 23 species and 68 reactions\n", + "\n", + "\n", + "Adding species CX(29) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CX(29)\n", + "Created 0 new edge species\n", + "Moved 4 reactions from edge to core\n", + " OX(25) + CX(29) <=> X(1) + COX(23)\n", + " X(1) + CHX(28) <=> HX(21) + CX(29)\n", + " H2(6) + CX(29) <=> CH2X(26)\n", + " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 32 species and 21 reactions\n", + " The model edge has 22 species and 64 reactions\n", + "\n", + "\n", + "Adding species H2X(30) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2X(30)\n", + "Created 0 new edge species\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 33 species and 21 reactions\n", + " The model edge has 21 species and 64 reactions\n", + "\n", + "\n", + "Adding species OHX(31) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " OHX(31)\n", + "Created 0 new edge species\n", + "Moved 8 reactions from edge to core\n", + " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n", + " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n", + " OX(25) + HX(21) <=> X(1) + OHX(31)\n", + " X(1) + OH(17) <=> OHX(31)\n", + " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n", + " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n", + " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n", + " HX(21) + COX(23) <=> OHX(31) + CX(29)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 34 species and 29 reactions\n", + " The model edge has 20 species and 56 reactions\n", + "\n", + "\n", + "Adding species H2OX(32) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " H2OX(32)\n", + "Created 0 new edge species\n", + "Moved 7 reactions from edge to core\n", + " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n", + " X(1) + H2O(5) <=> H2OX(32)\n", + " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n", + " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n", + " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n", + " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 35 species and 36 reactions\n", + " The model edge has 19 species and 49 reactions\n", + "\n", + "\n", + "Adding species CHOX(33) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " CHOX(33)\n", + "Created 0 new edge species\n", + "Moved 2 reactions from edge to core\n", + " X(1) + HCO(15) <=> CHOX(33)\n", + " X(1) + CHOX(33) <=> HX(21) + COX(23)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 36 species and 38 reactions\n", + " The model edge has 18 species and 47 reactions\n", + "\n", + "\n", + "Initialization complete. Starting model generation.\n", + "\n", + "Generating initial reactions...\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CO2(4) <=> [O]OO[C]=O(82), Ea raised from 413.6 to 418.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CO2(4) <=> [O]OC([O])=O(83), Ea raised from 298.1 to 300.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H6(8) <=> HO2(50) + C2H5(13), Ea raised from 207.3 to 215.7 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> HO2(50) + HCO(15), Ea raised from 158.7 to 162.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> [CH2]OO[O](84), Ea raised from 358.5 to 363.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH2O(9) <=> [O]CO[O](85), Ea raised from 172.4 to 176.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47), Ea raised from 178.9 to 195.8 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59), Ea raised from 157.1 to 167.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> C[CH]OO[O](88), Ea raised from 373.4 to 376.8 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + CH3CHO(16) <=> CC([O])O[O](89), Ea raised from 176.0 to 178.9 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + OH(17) <=> O=O(90) + OH(17), Ea raised from 94.3 to 94.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60), Ea raised from 251.1 to 256.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CO2(4) + CO2(4) <=> O=C1OOC1=O(97), Ea raised from 333.9 to 341.4 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH2O(9) <=> O=C1COO1(106), Ea raised from 264.6 to 271.9 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n", + "For reaction H(12) + CO2(4) <=> HCOO(38), Ea raised from 47.9 to 52.0 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129), Ea raised from 271.9 to 279.8 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n", + "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH2O(9) + CH2O(9) <=> C1COO1(169), Ea raised from 222.9 to 224.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227), Ea raised from 83.9 to 85.5 kJ/mol to match endothermicity of reaction.\n", + "For reaction OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246), Ea raised from 247.3 to 247.4 kJ/mol to match endothermicity of reaction.\n", + "Generating thermo for new species...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 201 new edge species\n", + " [CH2](52)\n", + " C[CH]C(53)\n", + " [CH2]CC(54)\n", + " [CH2][CH2](55)\n", + " [CH2]C[O](56)\n", + " C=CO(57)\n", + " [CH2]C=O(58)\n", + " C[C]=O(59)\n", + " [CH]=C(60)\n", + " [CH]C(61)\n", + " [CH][CH2](62)\n", + " [CH2]O[O](63)\n", + " C[CH2][Pt](64)\n", + " CC.[Pt](65)\n", + " C[CH](C)[Pt](66)\n", + " CC[CH2][Pt](67)\n", + " CCC.[Pt](68)\n", + " O=C[CH2][Pt](69)\n", + " C[C](=O)[Pt](70)\n", + " C[CH]=[Pt](71)\n", + " CC=O.[Pt](72)\n", + " C=[CH][Pt](73)\n", + " C=C.[Pt](74)\n", + " CO[O][Pt](75)\n", + " COC=O(76)\n", + " CC(=O)O(77)\n", + " [CH]O(78)\n", + " C[CH]O(79)\n", + " CC[O](80)\n", + " COO(81)\n", + " [O]OO[C]=O(82)\n", + " [O]OC([O])=O(83)\n", + " [CH2]OO[O](84)\n", + " [O]CO[O](85)\n", + " CCO[O](86)\n", + " [O]OC=O(87)\n", + " C[CH]OO[O](88)\n", + " CC([O])O[O](89)\n", + " O=O(90)\n", + " [CH2]CO[O](91)\n", + " C[CH]O[O](92)\n", + " COOO[O](93)\n", + " [O]C(=O)C([O])=O(94)\n", + " [O]C(=O)O[C]=O(95)\n", + " O=[C]OO[C]=O(96)\n", + " O=C1OOC1=O(97)\n", + " O=CO(98)\n", + " COC(C)=O(99)\n", + " CCOC=O(100)\n", + " CCC(=O)O(101)\n", + " [O]CC([O])=O(102)\n", + " [CH2]OC([O])=O(103)\n", + " [O]CO[C]=O(104)\n", + " [CH2]OO[C]=O(105)\n", + " O=C1COO1(106)\n", + " CO[C]=O(107)\n", + " CC([O])=O(108)\n", + " CCOC(C)=O(109)\n", + " CC(C)OC=O(110)\n", + " CCC(=O)OC(111)\n", + " CCCOC=O(112)\n", + " CC(C)C(=O)O(113)\n", + " CCCC(=O)O(114)\n", + " [CH2]COC=O(115)\n", + " [CH2]CC(=O)O(116)\n", + " CCO[C]=O(117)\n", + " CCC([O])=O(118)\n", + " O=COCO(119)\n", + " O=C(O)CO(120)\n", + " O=[C]OC=O(121)\n", + " [O]C(=O)C=O(122)\n", + " O=CCOC=O(123)\n", + " O=CCC(=O)O(124)\n", + " CC([O])C([O])=O(125)\n", + " C[CH]OC([O])=O(126)\n", + " CC([O])O[C]=O(127)\n", + " C[CH]OO[C]=O(128)\n", + " CC1OOC1=O(129)\n", + " C=COOC=O(130)\n", + " C=COC(=O)O(131)\n", + " [O]C(=O)O(132)\n", + " C=COC=O(133)\n", + " C=CC(=O)O(134)\n", + " [CH2]CC([O])=O(135)\n", + " [CH2]CO[C]=O(136)\n", + " O=C1CCO1(137)\n", + " [CH]COC=O(138)\n", + " [CH]CC(=O)O(139)\n", + " [C]C(140)\n", + " C[CH]O[C]=O(141)\n", + " CC=C([O])[O](142)\n", + " [O]OCOC=O(143)\n", + " [O]OCC(=O)O(144)\n", + " COOO[C]=O(145)\n", + " COOC([O])=O(146)\n", + " CCO(147)\n", + " CCC=O(148)\n", + " CC(C)=O(149)\n", + " O=CC=O(150)\n", + " CC(C)C=O(151)\n", + " CCCC=O(152)\n", + " CCC(C)=O(153)\n", + " [CH2]CC=O(154)\n", + " CC[C]=O(155)\n", + " O=CCO(156)\n", + " O=[C]C=O(157)\n", + " O=CCC=O(158)\n", + " CC(=O)C=O(159)\n", + " [CH-]=[O+]OC=C(160)\n", + " C=C[O+]=[C-]O(161)\n", + " C=CC=O(162)\n", + " [CH]CC=O(163)\n", + " [O]OCC=O(164)\n", + " COO[C]=O(165)\n", + " [O]CC[O](166)\n", + " [CH2]OC[O](167)\n", + " [CH2]OO[CH2](168)\n", + " C1COO1(169)\n", + " [CH2]OC(170)\n", + " [CH2]OCC(171)\n", + " CCC[O](172)\n", + " [CH2]OC=O(173)\n", + " [O]CC=O(174)\n", + " CC([O])C[O](175)\n", + " C[CH]OC[O](176)\n", + " [CH2]OC(C)[O](177)\n", + " [CH2]OO[CH]C(178)\n", + " CC1COO1(179)\n", + " C=COOC(180)\n", + " C=COCO(181)\n", + " [O]CO(182)\n", + " [CH2]CC[O](183)\n", + " [CH2]CO[CH2](184)\n", + " C1COC1(185)\n", + " [CH2]O[CH]C(186)\n", + " C[CH]C[O](187)\n", + " [CH2]OOOC(188)\n", + " COOC[O](189)\n", + " C[CH]OC(190)\n", + " CC(C)[O](191)\n", + " COOC(192)\n", + " CCCC(193)\n", + " C[CH]OCC(194)\n", + " CCC(C)[O](195)\n", + " [CH2]CCC(196)\n", + " C[CH]CC(197)\n", + " CCOOC(198)\n", + " CCOC(199)\n", + " CCCO(200)\n", + " C[CH]OC=O(201)\n", + " CC([O])C=O(202)\n", + " C[CH]C=O(203)\n", + " COOC=O(204)\n", + " CC([O])C(C)[O](205)\n", + " C[CH]OC(C)[O](206)\n", + " C[CH]OO[CH]C(207)\n", + " CC1OOC1C(208)\n", + " C=COOCC(209)\n", + " C=COC(C)O(210)\n", + " CC([O])O(211)\n", + " [CH2]CC(C)[O](212)\n", + " [CH2]CO[CH]C(213)\n", + " CC1CCO1(214)\n", + " C=COCC(215)\n", + " C[CH]O[CH]C(216)\n", + " C[CH]C(C)[O](217)\n", + " C[CH]OOOC(218)\n", + " COOC(C)[O](219)\n", + " [CH2]CO(220)\n", + " COOO(221)\n", + " [CH2]CC[CH2](222)\n", + " [CH2]C[CH]C(223)\n", + " [CH2]COOC(224)\n", + " C[CH]OOC(225)\n", + " COOOOC(226)\n", + " O=C[O][Pt](227)\n", + " O[C]#[Pt](228)\n", + " O[CH]=[Pt](229)\n", + " CC(=O)[O][Pt](230)\n", + " CO[C](=O)[Pt](231)\n", + " O=C(O)[O][Pt](232)\n", + " O=[C]([Pt])OO(233)\n", + " O=CC(=O)[O][Pt](234)\n", + " O=CO[C](=O)[Pt](235)\n", + " O=C=C=O(236)\n", + " O=C=C=O.[Pt](237)\n", + " C=C=O(238)\n", + " C=C=O.[Pt](239)\n", + " O=C=[CH][Pt](240)\n", + " O=C=[C]=[Pt](241)\n", + " OO[C]#[Pt](242)\n", + " O=C[C](=O)[Pt](243)\n", + " C[C]#[Pt](244)\n", + " O=O.[Pt](245)\n", + " O[O][Pt](246)\n", + " C=[C]=[Pt](247)\n", + " O=C[CH]=[Pt](248)\n", + " O=C[C]#[Pt](249)\n", + " OO[CH]=[Pt](250)\n", + " O=CO.[Pt](251)\n", + " O=CC=O.[Pt](252)\n", + "Added 71 new core reactions\n", + " H(12) + CH3(10) <=> CH4(2)\n", + " CH3(10) + CH3(10) <=> C2H6(8)\n", + " H(12) + C2H5(13) <=> C2H6(8)\n", + " H2(6) + CO(7) <=> CH2O(9)\n", + " H(12) + HCO(15) <=> CH2O(9)\n", + " CH3(10) + C2H5(13) <=> C3H8(11)\n", + " H(12) + CH3CH(19) <=> C2H5(13)\n", + " H(12) + C2H4(18) <=> C2H5(13)\n", + " OH(17) + CH3(10) <=> CH3OH(14)\n", + " H(12) + CO(7) <=> HCO(15)\n", + " CO(7) + CH4(2) <=> CH3CHO(16)\n", + " HCO(15) + CH3(10) <=> CH3CHO(16)\n", + " CH3OO(20) <=> O2(3) + CH3(10)\n", + " CH3OO(20) <=> OH(17) + CH2O(9)\n", + " X(1) + CH4(2) <=> CH4X(24)\n", + " X(1) + H2(6) <=> H2X(30)\n", + " X(1) + X(1) + CO2(4) <=> OX(25) + COX(23)\n", + " X(1) + X(1) + H2O(5) <=> HX(21) + OHX(31)\n", + " X(1) + X(1) + C2H6(8) <=> CH3X(27) + CH3X(27)\n", + " X(1) + X(1) + CH2O(9) <=> HX(21) + CHOX(33)\n", + " X(1) + X(1) + CH2O(9) <=> OX(25) + CH2X(26)\n", + " X(1) + X(1) + CH3OH(14) <=> OHX(31) + CH3X(27)\n", + " X(1) + X(1) + CH3CHO(16) <=> CHOX(33) + CH3X(27)\n", + " X(1) + X(1) + C2H4(18) <=> CH2X(26) + CH2X(26)\n", + " X(1) + CH4X(24) <=> HX(21) + CH3X(27)\n", + " X(1) + CHOX(33) <=> OX(25) + CHX(28)\n", + " HCO(15) + CH3(10) <=> CO(7) + CH4(2)\n", + " H(12) + CH4(2) <=> H2(6) + CH3(10)\n", + " CH3(10) + C2H6(8) <=> CH4(2) + C2H5(13)\n", + " HCO(15) + CH4(2) <=> CH2O(9) + CH3(10)\n", + " OH(17) + CH4(2) <=> H2O(5) + CH3(10)\n", + " CH3(10) + C2H5(13) <=> CH4(2) + C2H4(18)\n", + " CH4(2) + CH3CH(19) <=> CH3(10) + C2H5(13)\n", + " OH(17) + HCO(15) <=> H2O(5) + CO(7)\n", + " OH(17) + C2H6(8) <=> H2O(5) + C2H5(13)\n", + " OH(17) + CH2O(9) <=> H2O(5) + HCO(15)\n", + " OH(17) + C2H5(13) <=> H2O(5) + C2H4(18)\n", + " OH(17) + C2H5(13) <=> H2O(5) + CH3CH(19)\n", + " H(12) + HCO(15) <=> H2(6) + CO(7)\n", + " H(12) + C2H6(8) <=> H2(6) + C2H5(13)\n", + " H2(6) + HCO(15) <=> H(12) + CH2O(9)\n", + " H(12) + C2H5(13) <=> H2(6) + C2H4(18)\n", + " H2(6) + CH3CH(19) <=> H(12) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CO(7) + C2H6(8)\n", + " HCO(15) + HCO(15) <=> CO(7) + CH2O(9)\n", + " HCO(15) + CH3CH(19) <=> CO(7) + C2H5(13)\n", + " HCO(15) + C2H6(8) <=> CH2O(9) + C2H5(13)\n", + " C2H5(13) + C2H5(13) <=> C2H4(18) + C2H6(8)\n", + " CH3CH(19) + C2H6(8) <=> C2H5(13) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CH2O(9) + C2H4(18)\n", + " CH2O(9) + CH3CH(19) <=> HCO(15) + C2H5(13)\n", + " CH3CH(19) + C2H5(13) <=> C2H4(18) + C2H5(13)\n", + " H2X(30) + CHX(28) <=> HX(21) + CH2X(26)\n", + " H2X(30) + CH2X(26) <=> HX(21) + CH3X(27)\n", + " H2X(30) + CX(29) <=> HX(21) + CHX(28)\n", + " OX(25) + H2X(30) <=> HX(21) + OHX(31)\n", + " H2X(30) + COX(23) <=> HX(21) + CHOX(33)\n", + " COX(23) + CH4X(24) <=> CHOX(33) + CH3X(27)\n", + " CHX(28) + CHOX(33) <=> COX(23) + CH2X(26)\n", + " CHOX(33) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " CX(29) + CHOX(33) <=> COX(23) + CHX(28)\n", + " OX(25) + CHOX(33) <=> OHX(31) + COX(23)\n", + " OHX(31) + CHOX(33) <=> H2OX(32) + COX(23)\n", + " OX(25) + CH4X(24) <=> OHX(31) + CH3X(27)\n", + " CH2X(26) + CH4X(24) <=> CH3X(27) + CH3X(27)\n", + " CHX(28) + CH4X(24) <=> CH2X(26) + CH3X(27)\n", + " CX(29) + CH4X(24) <=> CHX(28) + CH3X(27)\n", + " OHX(31) + CH4X(24) <=> H2OX(32) + CH3X(27)\n", + " CH2X(26) + CH2X(26) <=> CHX(28) + CH3X(27)\n", + " CX(29) + CH3X(27) <=> CHX(28) + CH2X(26)\n", + " CX(29) + CH2X(26) <=> CHX(28) + CHX(28)\n", + "Created 566 new edge reactions\n", + " H2(6) + [CH2](52) <=> CH4(2)\n", + " [CH2](52) + CH4(2) <=> C2H6(8)\n", + " H(12) + CH2(42) <=> CH3(10)\n", + " [CH2](52) + C2H6(8) <=> C3H8(11)\n", + " [CH2](52) + C2H6(8) <=> C3H8(11)\n", + " H(12) + C[CH]C(53) <=> C3H8(11)\n", + " H(12) + [CH2]CC(54) <=> C3H8(11)\n", + " CH2(42) + CH3(10) <=> C2H5(13)\n", + " H(12) + [CH2][CH2](55) <=> C2H5(13)\n", + " H2O(5) + [CH2](52) <=> CH3OH(14)\n", + " H(12) + CH3O(44) <=> CH3OH(14)\n", + " H(12) + CH2OH(47) <=> CH3OH(14)\n", + " H(12) + CO(35) <=> HCO(15)\n", + " [CH2]C[O](56) <=> CH3CHO(16)\n", + " C=CO(57) <=> CH3CHO(16)\n", + " H(12) + [CH2]C=O(58) <=> CH3CHO(16)\n", + " H(12) + C[C]=O(59) <=> CH3CHO(16)\n", + " H(12) + [CH]=C(60) <=> C2H4(18)\n", + " [CH]C(61) <=> C2H4(18)\n", + " H(12) + [CH][CH2](62) <=> CH3CH(19)\n", + " HO2(50) + [CH2](52) <=> CH3OO(20)\n", + " O(34) + CH3O(44) <=> CH3OO(20)\n", + " H(12) + [CH2]O[O](63) <=> CH3OO(20)\n", + " X(1) + X(1) + C2H6(8) <=> HX(21) + C[CH2][Pt](64)\n", + " X(1) + C2H6(8) <=> CC.[Pt](65)\n", + " X(1) + X(1) + C3H8(11) <=> CH3X(27) + C[CH2][Pt](64)\n", + " X(1) + X(1) + C3H8(11) <=> HX(21) + C[CH](C)[Pt](66)\n", + " X(1) + X(1) + C3H8(11) <=> HX(21) + CC[CH2][Pt](67)\n", + " X(1) + C3H8(11) <=> CCC.[Pt](68)\n", + " X(1) + C2H5(13) <=> C[CH2][Pt](64)\n", + " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH3O_X(45)\n", + " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH2OH_X(48)\n", + " X(1) + X(1) + CH3CHO(16) <=> HX(21) + O=C[CH2][Pt](69)\n", + " X(1) + X(1) + CH3CHO(16) <=> HX(21) + C[C](=O)[Pt](70)\n", + " X(1) + X(1) + CH3CHO(16) <=> OX(25) + C[CH]=[Pt](71)\n", + " X(1) + CH3CHO(16) <=> CC=O.[Pt](72)\n", + " X(1) + X(1) + C2H4(18) <=> HX(21) + C=[CH][Pt](73)\n", + " X(1) + C2H4(18) <=> C=C.[Pt](74)\n", + " X(1) + CH3OO(20) <=> CO[O][Pt](75)\n", + " O2(3) + CH4(2) <=> HO2(50) + CH3(10)\n", + " CO2(4) + CH4(2) <=> COC=O(76)\n", + " CO2(4) + CH4(2) <=> CC(=O)O(77)\n", + " COOH(36) + CH3(10) <=> CO2(4) + CH4(2)\n", + " HCOO(38) + CH3(10) <=> CO2(4) + CH4(2)\n", + " CH3(10) + CH2OH(47) <=> CH2O(9) + CH4(2)\n", + " CH3(10) + CH3O(44) <=> CH2O(9) + CH4(2)\n", + " [CH]O(78) + CH3(10) <=> HCO(15) + CH4(2)\n", + " CH3(10) + C[CH]O(79) <=> CH4(2) + CH3CHO(16)\n", + " CH3(10) + CC[O](80) <=> CH4(2) + CH3CHO(16)\n", + " CH3OO(20) + CH4(2) <=> CH3(10) + COO(81)\n", + " O2(3) + CO2(4) <=> [O]OO[C]=O(82)\n", + " O2(3) + CO2(4) <=> [O]OC([O])=O(83)\n", + " O2(3) + C2H6(8) <=> HO2(50) + C2H5(13)\n", + " O2(3) + CH2O(9) <=> HO2(50) + HCO(15)\n", + " O2(3) + CH2O(9) <=> [CH2]OO[O](84)\n", + " O2(3) + CH2O(9) <=> [O]CO[O](85)\n", + " HO2(50) + CH2(42) <=> O2(3) + CH3(10)\n", + " O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53)\n", + " HO2(50) + [CH2]CC(54) <=> O2(3) + C3H8(11)\n", + " O2(3) + C2H5(13) <=> HO2(50) + C2H4(18)\n", + " HO2(50) + CH3CH(19) <=> O2(3) + C2H5(13)\n", + " CCO[O](86) <=> O2(3) + C2H5(13)\n", + " HO2(50) + CH3O(44) <=> O2(3) + CH3OH(14)\n", + " O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47)\n", + " O2(3) + HCO(15) <=> HO2(50) + CO(7)\n", + " HO2(50) + CO(35) <=> O2(3) + HCO(15)\n", + " O2(3) + HCO(15) <=> [O]OC=O(87)\n", + " HO2(50) + [CH2]C=O(58) <=> O2(3) + CH3CHO(16)\n", + " O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59)\n", + " O2(3) + CH3CHO(16) <=> C[CH]OO[O](88)\n", + " O2(3) + CH3CHO(16) <=> CC([O])O[O](89)\n", + " O2(3) + OH(17) <=> O=O(90) + OH(17)\n", + " O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60)\n", + " O2(3) + C2H4(18) <=> [CH2]CO[O](91)\n", + " O2(3) + CH3CH(19) <=> C[CH]O[O](92)\n", + " O2(3) + CH3CH(19) <=> HO2(50) + [CH]=C(60)\n", + " HO2(50) + [CH][CH2](62) <=> O2(3) + CH3CH(19)\n", + " O2(3) + CH3OO(20) <=> HO2(50) + [CH2]O[O](63)\n", + " O2(3) + CH3OO(20) <=> COOO[O](93)\n", + " [O]C(=O)C([O])=O(94) <=> CO2(4) + CO2(4)\n", + " [O]C(=O)O[C]=O(95) <=> CO2(4) + CO2(4)\n", + " O=[C]OO[C]=O(96) <=> CO2(4) + CO2(4)\n", + " CO2(4) + CO2(4) <=> O=C1OOC1=O(97)\n", + " OH(17) + COOH(36) <=> H2O(5) + CO2(4)\n", + " OH(17) + HCOO(38) <=> H2O(5) + CO2(4)\n", + " H2(6) + CO2(4) <=> O=CO(98)\n", + " H(12) + COOH(36) <=> H2(6) + CO2(4)\n", + " H(12) + HCOO(38) <=> H2(6) + CO2(4)\n", + " CO2(4) + C2H6(8) <=> COC(C)=O(99)\n", + " CO2(4) + C2H6(8) <=> CCOC=O(100)\n", + " CO2(4) + C2H6(8) <=> CCC(=O)O(101)\n", + " COOH(36) + C2H5(13) <=> CO2(4) + C2H6(8)\n", + " HCOO(38) + C2H5(13) <=> CO2(4) + C2H6(8)\n", + " [O]CC([O])=O(102) <=> CO2(4) + CH2O(9)\n", + " [CH2]OC([O])=O(103) <=> CO2(4) + CH2O(9)\n", + " [O]CO[C]=O(104) <=> CO2(4) + CH2O(9)\n", + " [CH2]OO[C]=O(105) <=> CO2(4) + CH2O(9)\n", + " CO2(4) + CH2O(9) <=> O=C1COO1(106)\n", + " HCO(15) + COOH(36) <=> CO2(4) + CH2O(9)\n", + " HCO(15) + HCOO(38) <=> CO2(4) + CH2O(9)\n", + " COOH(36) + CH2(42) <=> CO2(4) + CH3(10)\n", + " HCOO(38) + CH2(42) <=> CO2(4) + CH3(10)\n", + " CO2(4) + CH3(10) <=> CO[C]=O(107)\n", + " CO2(4) + CH3(10) <=> CC([O])=O(108)\n", + " CO2(4) + C3H8(11) <=> CCOC(C)=O(109)\n", + " CO2(4) + C3H8(11) <=> CC(C)OC=O(110)\n", + " CO2(4) + C3H8(11) <=> CCC(=O)OC(111)\n", + " CO2(4) + C3H8(11) <=> CCCOC=O(112)\n", + " CO2(4) + C3H8(11) <=> CC(C)C(=O)O(113)\n", + " CO2(4) + C3H8(11) <=> CCCC(=O)O(114)\n", + " COOH(36) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n", + " COOH(36) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n", + " HCOO(38) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n", + " HCOO(38) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n", + " H(12) + CO2(4) <=> COOH(36)\n", + " H(12) + CO2(4) <=> HCOO(38)\n", + " CO2(4) + C2H5(13) <=> [CH2]COC=O(115)\n", + " CO2(4) + C2H5(13) <=> [CH2]CC(=O)O(116)\n", + " COOH(36) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n", + " COOH(36) + CH3CH(19) <=> CO2(4) + C2H5(13)\n", + " HCOO(38) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n", + " HCOO(38) + CH3CH(19) <=> CO2(4) + C2H5(13)\n", + " CO2(4) + C2H5(13) <=> CCO[C]=O(117)\n", + " CO2(4) + C2H5(13) <=> CCC([O])=O(118)\n", + " CO2(4) + CH3OH(14) <=> O=COCO(119)\n", + " CO2(4) + CH3OH(14) <=> O=C(O)CO(120)\n", + " COOH(36) + CH3O(44) <=> CO2(4) + CH3OH(14)\n", + " COOH(36) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n", + " HCOO(38) + CH3O(44) <=> CO2(4) + CH3OH(14)\n", + " HCOO(38) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n", + " CO(35) + COOH(36) <=> CO2(4) + HCO(15)\n", + " CO(35) + HCOO(38) <=> CO2(4) + HCO(15)\n", + " CO2(4) + HCO(15) <=> O=[C]OC=O(121)\n", + " CO2(4) + HCO(15) <=> [O]C(=O)C=O(122)\n", + " CO2(4) + CH3CHO(16) <=> O=CCOC=O(123)\n", + " CO2(4) + CH3CHO(16) <=> O=CCC(=O)O(124)\n", + " CC([O])C([O])=O(125) <=> CO2(4) + CH3CHO(16)\n", + " C[CH]OC([O])=O(126) <=> CO2(4) + CH3CHO(16)\n", + " CC([O])O[C]=O(127) <=> CO2(4) + CH3CHO(16)\n", + " C[CH]OO[C]=O(128) <=> CO2(4) + CH3CHO(16)\n", + " CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129)\n", + " COOH(36) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n", + " COOH(36) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n", + " HCOO(38) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n", + " HCOO(38) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n", + " C=COOC=O(130) <=> CO2(4) + CH3CHO(16)\n", + " C=COC(=O)O(131) <=> CO2(4) + CH3CHO(16)\n", + " O(34) + COOH(36) <=> OH(17) + CO2(4)\n", + " O(34) + HCOO(38) <=> OH(17) + CO2(4)\n", + " OH(17) + CO2(4) <=> [O]C(=O)O(132)\n", + " CO2(4) + C2H4(18) <=> C=COC=O(133)\n", + " CO2(4) + C2H4(18) <=> C=CC(=O)O(134)\n", + " [CH2]CC([O])=O(135) <=> CO2(4) + C2H4(18)\n", + " [CH2]CO[C]=O(136) <=> CO2(4) + C2H4(18)\n", + " CO2(4) + C2H4(18) <=> O=C1CCO1(137)\n", + " COOH(36) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n", + " HCOO(38) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n", + " CO2(4) + CH3CH(19) <=> [CH]COC=O(138)\n", + " CO2(4) + CH3CH(19) <=> [CH]CC(=O)O(139)\n", + " COOH(36) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n", + " COOH(36) + [C]C(140) <=> CO2(4) + CH3CH(19)\n", + " HCOO(38) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n", + " HCOO(38) + [C]C(140) <=> CO2(4) + CH3CH(19)\n", + " CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141)\n", + " CO2(4) + CH3CH(19) <=> CC=C([O])[O](142)\n", + " CO2(4) + CH3OO(20) <=> [O]OCOC=O(143)\n", + " CO2(4) + CH3OO(20) <=> [O]OCC(=O)O(144)\n", + " COOH(36) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n", + " HCOO(38) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n", + " CO2(4) + CH3OO(20) <=> COOO[C]=O(145)\n", + " CO2(4) + CH3OO(20) <=> COOC([O])=O(146)\n", + " H2O(5) + CO(7) <=> O=CO(98)\n", + " OH(17) + CH2OH(47) <=> H2O(5) + CH2O(9)\n", + " OH(17) + CH3O(44) <=> H2O(5) + CH2O(9)\n", + " OH(17) + [CH]O(78) <=> H2O(5) + HCO(15)\n", + " OH(17) + C[CH]O(79) <=> H2O(5) + CH3CHO(16)\n", + " OH(17) + CC[O](80) <=> H2O(5) + CH3CHO(16)\n", + " H2O(5) + C2H4(18) <=> CCO(147)\n", + " OH(17) + COO(81) <=> H2O(5) + CH3OO(20)\n", + " H(12) + CH2OH(47) <=> H2(6) + CH2O(9)\n", + " H(12) + CH3O(44) <=> H2(6) + CH2O(9)\n", + " H(12) + [CH]O(78) <=> H2(6) + HCO(15)\n", + " H(12) + C[CH]O(79) <=> H2(6) + CH3CHO(16)\n", + " H(12) + CC[O](80) <=> H2(6) + CH3CHO(16)\n", + " H(12) + COO(81) <=> H2(6) + CH3OO(20)\n", + " CO(7) + C2H6(8) <=> CCC=O(148)\n", + " CO(7) + C2H6(8) <=> CC(C)=O(149)\n", + " CO(7) + CH2O(9) <=> O=CC=O(150)\n", + " HCO(15) + CH2(42) <=> CO(7) + CH3(10)\n", + " CO(7) + CH3(10) <=> C[C]=O(59)\n", + " CO(7) + C3H8(11) <=> CC(C)C=O(151)\n", + " CO(7) + C3H8(11) <=> CCCC=O(152)\n", + " CO(7) + C3H8(11) <=> CCC(C)=O(153)\n", + " HCO(15) + C[CH]C(53) <=> CO(7) + C3H8(11)\n", + " HCO(15) + [CH2]CC(54) <=> CO(7) + C3H8(11)\n", + " CO(7) + C2H5(13) <=> [CH2]CC=O(154)\n", + " HCO(15) + [CH2][CH2](55) <=> CO(7) + C2H5(13)\n", + " CC[C]=O(155) <=> CO(7) + C2H5(13)\n", + " CO(7) + CH3OH(14) <=> COC=O(76)\n", + " CO(7) + CH3OH(14) <=> O=CCO(156)\n", + " HCO(15) + CH3O(44) <=> CO(7) + CH3OH(14)\n", + " HCO(15) + CH2OH(47) <=> CO(7) + CH3OH(14)\n", + " CO(35) + HCO(15) <=> CO(7) + HCO(15)\n", + " CO(7) + HCO(15) <=> O=[C]C=O(157)\n", + " CO(7) + CH3CHO(16) <=> O=CCC=O(158)\n", + " CO(7) + CH3CHO(16) <=> CC(=O)C=O(159)\n", + " HCO(15) + [CH2]C=O(58) <=> CO(7) + CH3CHO(16)\n", + " HCO(15) + C[C]=O(59) <=> CO(7) + CH3CHO(16)\n", + " [CH-]=[O+]OC=C(160) <=> CO(7) + CH3CHO(16)\n", + " C=C[O+]=[C-]O(161) <=> CO(7) + CH3CHO(16)\n", + " O(34) + HCO(15) <=> OH(17) + CO(7)\n", + " OH(17) + CO(7) <=> COOH(36)\n", + " CO(7) + C2H4(18) <=> C=CC=O(162)\n", + " HCO(15) + [CH]=C(60) <=> CO(7) + C2H4(18)\n", + " CO(7) + CH3CH(19) <=> [CH]CC=O(163)\n", + " HCO(15) + [CH][CH2](62) <=> CO(7) + CH3CH(19)\n", + " HCO(15) + [C]C(140) <=> CO(7) + CH3CH(19)\n", + " CO(7) + CH3OO(20) <=> [O]OCC=O(164)\n", + " HCO(15) + [CH2]O[O](63) <=> CO(7) + CH3OO(20)\n", + " CO(7) + CH3OO(20) <=> COO[C]=O(165)\n", + " CH2OH(47) + C2H5(13) <=> CH2O(9) + C2H6(8)\n", + " CH3O(44) + C2H5(13) <=> CH2O(9) + C2H6(8)\n", + " [CH]O(78) + C2H5(13) <=> HCO(15) + C2H6(8)\n", + " C2H5(13) + C[CH]O(79) <=> CH3CHO(16) + C2H6(8)\n", + " C2H5(13) + CC[O](80) <=> CH3CHO(16) + C2H6(8)\n", + " CH3OO(20) + C2H6(8) <=> COO(81) + C2H5(13)\n", + " [O]CC[O](166) <=> CH2O(9) + CH2O(9)\n", + " [CH2]OC[O](167) <=> CH2O(9) + CH2O(9)\n", + " [CH2]OO[CH2](168) <=> CH2O(9) + CH2O(9)\n", + " CH2O(9) + CH2O(9) <=> C1COO1(169)\n", + " HCO(15) + CH2OH(47) <=> CH2O(9) + CH2O(9)\n", + " HCO(15) + CH3O(44) <=> CH2O(9) + CH2O(9)\n", + " CH2(42) + CH2OH(47) <=> CH2O(9) + CH3(10)\n", + " CH2(42) + CH3O(44) <=> CH2O(9) + CH3(10)\n", + " CH2O(9) + CH3(10) <=> [CH2]OC(170)\n", + " CH2O(9) + CH3(10) <=> CC[O](80)\n", + " CH2OH(47) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n", + " CH2OH(47) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n", + " CH3O(44) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n", + " CH3O(44) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n", + " H(12) + CH2O(9) <=> CH2OH(47)\n", + " H(12) + CH2O(9) <=> CH3O(44)\n", + " CH2OH(47) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n", + " CH2OH(47) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n", + " CH3O(44) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n", + " CH3O(44) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n", + " CH2O(9) + C2H5(13) <=> [CH2]OCC(171)\n", + " CH2O(9) + C2H5(13) <=> CCC[O](172)\n", + " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " CH2OH(47) + CH2OH(47) <=> CH2O(9) + CH3OH(14)\n", + " CH3O(44) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n", + " HCO(15) + [CH]O(78) <=> HCO(15) + CH2O(9)\n", + " CO(35) + CH2OH(47) <=> HCO(15) + CH2O(9)\n", + " CO(35) + CH3O(44) <=> HCO(15) + CH2O(9)\n", + " HCO(15) + CH2O(9) <=> [CH2]OC=O(173)\n", + " HCO(15) + CH2O(9) <=> [O]CC=O(174)\n", + " CC([O])C[O](175) <=> CH2O(9) + CH3CHO(16)\n", + " C[CH]OC[O](176) <=> CH2O(9) + CH3CHO(16)\n", + " [CH2]OC(C)[O](177) <=> CH2O(9) + CH3CHO(16)\n", + " [CH2]OO[CH]C(178) <=> CH2O(9) + CH3CHO(16)\n", + " CH2O(9) + CH3CHO(16) <=> CC1COO1(179)\n", + " HCO(15) + C[CH]O(79) <=> CH2O(9) + CH3CHO(16)\n", + " HCO(15) + CC[O](80) <=> CH2O(9) + CH3CHO(16)\n", + " CH2OH(47) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n", + " CH2OH(47) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n", + " CH3O(44) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n", + " CH3O(44) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n", + " C=COOC(180) <=> CH2O(9) + CH3CHO(16)\n", + " C=COCO(181) <=> CH2O(9) + CH3CHO(16)\n", + " O(34) + CH2OH(47) <=> OH(17) + CH2O(9)\n", + " O(34) + CH3O(44) <=> OH(17) + CH2O(9)\n", + " OH(17) + CH2O(9) <=> [O]CO(182)\n", + " [CH2]CC[O](183) <=> CH2O(9) + C2H4(18)\n", + " [CH2]CO[CH2](184) <=> CH2O(9) + C2H4(18)\n", + " CH2O(9) + C2H4(18) <=> C1COC1(185)\n", + " CH2OH(47) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n", + " CH3O(44) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n", + " CH2OH(47) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n", + " CH2OH(47) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n", + " CH3O(44) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n", + " CH3O(44) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n", + " CH2O(9) + CH3CH(19) <=> [CH2]O[CH]C(186)\n", + " CH2O(9) + CH3CH(19) <=> C[CH]C[O](187)\n", + " [CH2]O[O](63) + CH2OH(47) <=> CH2O(9) + CH3OO(20)\n", + " [CH2]O[O](63) + CH3O(44) <=> CH2O(9) + CH3OO(20)\n", + " HCO(15) + COO(81) <=> CH2O(9) + CH3OO(20)\n", + " CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188)\n", + " CH2O(9) + CH3OO(20) <=> COOC[O](189)\n", + " CH2(42) + CH4(2) <=> CH3(10) + CH3(10)\n", + " CH4(2) + C[CH]C(53) <=> CH3(10) + C3H8(11)\n", + " CH3(10) + C3H8(11) <=> CH4(2) + [CH2]CC(54)\n", + " H2(6) + CH2(42) <=> H(12) + CH3(10)\n", + " CH2(42) + C2H6(8) <=> CH3(10) + C2H5(13)\n", + " CH3O(44) + CH4(2) <=> CH3(10) + CH3OH(14)\n", + " CH3(10) + CH3OH(14) <=> CH2OH(47) + CH4(2)\n", + " CH2(42) + [CH]O(78) <=> HCO(15) + CH3(10)\n", + " CH2(42) + CH2O(9) <=> HCO(15) + CH3(10)\n", + " CO(35) + CH4(2) <=> HCO(15) + CH3(10)\n", + " CH2(42) + C[CH]O(79) <=> CH3(10) + CH3CHO(16)\n", + " CH2(42) + CC[O](80) <=> CH3(10) + CH3CHO(16)\n", + " CH3(10) + CH3CHO(16) <=> CH4(2) + [CH2]C=O(58)\n", + " CH3(10) + CH3CHO(16) <=> CH4(2) + C[C]=O(59)\n", + " CH3(10) + CH3CHO(16) <=> C[CH]OC(190)\n", + " CH3(10) + CH3CHO(16) <=> CC(C)[O](191)\n", + " OH(17) + CH3(10) <=> H2O(5) + CH2(42)\n", + " O(34) + CH4(2) <=> OH(17) + CH3(10)\n", + " CH2(42) + C2H5(13) <=> CH3(10) + C2H4(18)\n", + " CH4(2) + [CH]=C(60) <=> CH3(10) + C2H4(18)\n", + " CH3(10) + C2H4(18) <=> [CH2]CC(54)\n", + " CH3(10) + CH3CH(19) <=> C[CH]C(53)\n", + " CH3(10) + CH3CH(19) <=> CH4(2) + [CH]=C(60)\n", + " CH2(42) + C2H5(13) <=> CH3(10) + CH3CH(19)\n", + " CH3(10) + CH3CH(19) <=> CH4(2) + [CH][CH2](62)\n", + " CH2(42) + COO(81) <=> CH3(10) + CH3OO(20)\n", + " CH3(10) + CH3OO(20) <=> [CH2]O[O](63) + CH4(2)\n", + " CH3(10) + CH3OO(20) <=> COOC(192)\n", + " H2(6) + C[CH]C(53) <=> H(12) + C3H8(11)\n", + " H(12) + C3H8(11) <=> H2(6) + [CH2]CC(54)\n", + " C2H6(8) + C[CH]C(53) <=> C2H5(13) + C3H8(11)\n", + " C2H6(8) + [CH2]CC(54) <=> C2H5(13) + C3H8(11)\n", + " [CH]O(78) + C[CH]C(53) <=> HCO(15) + C3H8(11)\n", + " [CH]O(78) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n", + " HCO(15) + C3H8(11) <=> CH2O(9) + C[CH]C(53)\n", + " CH2O(9) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n", + " C[CH]O(79) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n", + " CC[O](80) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n", + " C[CH]O(79) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n", + " CC[O](80) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n", + " OH(17) + C3H8(11) <=> H2O(5) + C[CH]C(53)\n", + " OH(17) + C3H8(11) <=> H2O(5) + [CH2]CC(54)\n", + " C2H5(13) + C[CH]C(53) <=> C2H4(18) + C3H8(11)\n", + " C2H5(13) + [CH2]CC(54) <=> C2H4(18) + C3H8(11)\n", + " CH3CH(19) + C3H8(11) <=> C2H5(13) + C[CH]C(53)\n", + " CH3CH(19) + C3H8(11) <=> C2H5(13) + [CH2]CC(54)\n", + " COO(81) + C[CH]C(53) <=> CH3OO(20) + C3H8(11)\n", + " COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11)\n", + " H(12) + CH3OH(14) <=> H2(6) + CH3O(44)\n", + " H(12) + CH3OH(14) <=> H2(6) + CH2OH(47)\n", + " H2(6) + CO(35) <=> H(12) + HCO(15)\n", + " H(12) + CH3CHO(16) <=> H2(6) + [CH2]C=O(58)\n", + " H(12) + CH3CHO(16) <=> H2(6) + C[C]=O(59)\n", + " H(12) + CH3CHO(16) <=> C[CH]O(79)\n", + " H(12) + CH3CHO(16) <=> CC[O](80)\n", + " H(12) + C2H4(18) <=> H2(6) + [CH]=C(60)\n", + " H(12) + CH3CH(19) <=> H2(6) + [CH]=C(60)\n", + " H(12) + CH3CH(19) <=> H2(6) + [CH][CH2](62)\n", + " H(12) + CH3OO(20) <=> H2(6) + [CH2]O[O](63)\n", + " H(12) + CH3OO(20) <=> COO(81)\n", + " C2H5(13) + C2H5(13) <=> CCCC(193)\n", + " CH3OH(14) + C2H5(13) <=> CH3O(44) + C2H6(8)\n", + " CH3OH(14) + C2H5(13) <=> CH2OH(47) + C2H6(8)\n", + " [CH]O(78) + [CH2][CH2](55) <=> HCO(15) + C2H5(13)\n", + " [CH]O(78) + CH3CH(19) <=> HCO(15) + C2H5(13)\n", + " CO(35) + C2H6(8) <=> HCO(15) + C2H5(13)\n", + " HCO(15) + C2H5(13) <=> CCC=O(148)\n", + " [CH2][CH2](55) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n", + " [CH2][CH2](55) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CH(19) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CH(19) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CHO(16) + C2H5(13) <=> [CH2]C=O(58) + C2H6(8)\n", + " C[C]=O(59) + C2H6(8) <=> CH3CHO(16) + C2H5(13)\n", + " CH3CHO(16) + C2H5(13) <=> C[CH]OCC(194)\n", + " CH3CHO(16) + C2H5(13) <=> CCC(C)[O](195)\n", + " O(34) + C2H6(8) <=> OH(17) + C2H5(13)\n", + " OH(17) + C2H5(13) <=> CCO(147)\n", + " [CH2][CH2](55) + C2H5(13) <=> C2H4(18) + C2H5(13)\n", + " [CH]=C(60) + C2H6(8) <=> C2H4(18) + C2H5(13)\n", + " C2H4(18) + C2H5(13) <=> [CH2]CCC(196)\n", + " CH3CH(19) + C2H5(13) <=> C[CH]CC(197)\n", + " CH3CH(19) + C2H5(13) <=> [CH]=C(60) + C2H6(8)\n", + " [CH][CH2](62) + C2H6(8) <=> CH3CH(19) + C2H5(13)\n", + " CH3OO(20) + C2H5(13) <=> COO(81) + C2H4(18)\n", + " COO(81) + CH3CH(19) <=> CH3OO(20) + C2H5(13)\n", + " [CH2]O[O](63) + C2H6(8) <=> CH3OO(20) + C2H5(13)\n", + " CH3OO(20) + C2H5(13) <=> CCOOC(198)\n", + " [CH]O(78) + CH3O(44) <=> HCO(15) + CH3OH(14)\n", + " [CH]O(78) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n", + " CH2O(9) + CH3O(44) <=> HCO(15) + CH3OH(14)\n", + " CH2O(9) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n", + " CH3O(44) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n", + " CH3O(44) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n", + " CH2OH(47) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n", + " CH2OH(47) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n", + " OH(17) + CH3OH(14) <=> H2O(5) + CH3O(44)\n", + " OH(17) + CH3OH(14) <=> H2O(5) + CH2OH(47)\n", + " CH3OH(14) + C2H4(18) <=> CCOC(199)\n", + " CH3OH(14) + C2H4(18) <=> CCCO(200)\n", + " CH3O(44) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n", + " CH2OH(47) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n", + " CH3OH(14) + CH3CH(19) <=> CH3O(44) + C2H5(13)\n", + " CH3OH(14) + CH3CH(19) <=> CH2OH(47) + C2H5(13)\n", + " CH3O(44) + COO(81) <=> CH3OO(20) + CH3OH(14)\n", + " CH2OH(47) + COO(81) <=> CH3OO(20) + CH3OH(14)\n", + " CO(35) + [CH]O(78) <=> HCO(15) + HCO(15)\n", + " CO(35) + CH2O(9) <=> HCO(15) + HCO(15)\n", + " HCO(15) + HCO(15) <=> O=CC=O(150)\n", + " CO(35) + C[CH]O(79) <=> HCO(15) + CH3CHO(16)\n", + " CO(35) + CC[O](80) <=> HCO(15) + CH3CHO(16)\n", + " [CH]O(78) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n", + " [CH]O(78) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n", + " CH2O(9) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n", + " CH2O(9) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n", + " HCO(15) + CH3CHO(16) <=> C[CH]OC=O(201)\n", + " HCO(15) + CH3CHO(16) <=> CC([O])C=O(202)\n", + " O(34) + [CH]O(78) <=> OH(17) + HCO(15)\n", + " H2O(5) + CO(35) <=> OH(17) + HCO(15)\n", + " O(34) + CH2O(9) <=> OH(17) + HCO(15)\n", + " OH(17) + HCO(15) <=> O=CO(98)\n", + " CO(35) + C2H5(13) <=> HCO(15) + C2H4(18)\n", + " [CH]O(78) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n", + " CH2O(9) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n", + " HCO(15) + C2H4(18) <=> [CH2]CC=O(154)\n", + " HCO(15) + CH3CH(19) <=> C[CH]C=O(203)\n", + " HCO(15) + CH3CH(19) <=> CH2O(9) + [CH]=C(60)\n", + " [CH]O(78) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n", + " [CH]O(78) + [C]C(140) <=> HCO(15) + CH3CH(19)\n", + " CO(35) + C2H5(13) <=> HCO(15) + CH3CH(19)\n", + " CH2O(9) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n", + " HCO(15) + CH3OO(20) <=> CO(7) + COO(81)\n", + " [CH]O(78) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n", + " CO(35) + COO(81) <=> HCO(15) + CH3OO(20)\n", + " CH2O(9) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n", + " HCO(15) + CH3OO(20) <=> COOC=O(204)\n", + " CC([O])C(C)[O](205) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[CH]OC(C)[O](206) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[CH]OO[CH]C(207) <=> CH3CHO(16) + CH3CHO(16)\n", + " CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208)\n", + " [CH2]C=O(58) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n", + " [CH2]C=O(58) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[C]=O(59) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n", + " C[C]=O(59) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n", + " C=COOCC(209) <=> CH3CHO(16) + CH3CHO(16)\n", + " C=COC(C)O(210) <=> CH3CHO(16) + CH3CHO(16)\n", + " O(34) + C[CH]O(79) <=> OH(17) + CH3CHO(16)\n", + " O(34) + CC[O](80) <=> OH(17) + CH3CHO(16)\n", + " OH(17) + CH3CHO(16) <=> H2O(5) + [CH2]C=O(58)\n", + " OH(17) + CH3CHO(16) <=> H2O(5) + C[C]=O(59)\n", + " OH(17) + CH3CHO(16) <=> CC([O])O(211)\n", + " [CH2]CC(C)[O](212) <=> C2H4(18) + CH3CHO(16)\n", + " [CH2]CO[CH]C(213) <=> C2H4(18) + CH3CHO(16)\n", + " C2H4(18) + CH3CHO(16) <=> CC1CCO1(214)\n", + " [CH2]C=O(58) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n", + " C[C]=O(59) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n", + " [CH]=C(60) + C[CH]O(79) <=> C2H4(18) + CH3CHO(16)\n", + " [CH]=C(60) + CC[O](80) <=> C2H4(18) + CH3CHO(16)\n", + " C=COCC(215) <=> C2H4(18) + CH3CHO(16)\n", + " [CH][CH2](62) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n", + " [C]C(140) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n", + " [CH][CH2](62) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n", + " [C]C(140) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n", + " CH3CH(19) + CH3CHO(16) <=> [CH2]C=O(58) + C2H5(13)\n", + " CH3CH(19) + CH3CHO(16) <=> C[C]=O(59) + C2H5(13)\n", + " CH3CH(19) + CH3CHO(16) <=> C[CH]O[CH]C(216)\n", + " CH3CH(19) + CH3CHO(16) <=> C[CH]C(C)[O](217)\n", + " [CH2]O[O](63) + C[CH]O(79) <=> CH3OO(20) + CH3CHO(16)\n", + " [CH2]O[O](63) + CC[O](80) <=> CH3OO(20) + CH3CHO(16)\n", + " COO(81) + [CH2]C=O(58) <=> CH3OO(20) + CH3CHO(16)\n", + " COO(81) + C[C]=O(59) <=> CH3OO(20) + CH3CHO(16)\n", + " CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218)\n", + " CH3OO(20) + CH3CHO(16) <=> COOC(C)[O](219)\n", + " O(34) + C2H5(13) <=> OH(17) + C2H4(18)\n", + " OH(17) + C2H4(18) <=> H2O(5) + [CH]=C(60)\n", + " OH(17) + C2H4(18) <=> [CH2]CO(220)\n", + " OH(17) + CH3CH(19) <=> C[CH]O(79)\n", + " OH(17) + CH3CH(19) <=> H2O(5) + [CH]=C(60)\n", + " OH(17) + CH3CH(19) <=> O(34) + C2H5(13)\n", + " OH(17) + CH3CH(19) <=> H2O(5) + [CH][CH2](62)\n", + " O(34) + COO(81) <=> OH(17) + CH3OO(20)\n", + " OH(17) + CH3OO(20) <=> H2O(5) + [CH2]O[O](63)\n", + " OH(17) + CH3OO(20) <=> COOO(221)\n", + " [CH2]CC[CH2](222) <=> C2H4(18) + C2H4(18)\n", + " [CH]=C(60) + C2H5(13) <=> C2H4(18) + C2H4(18)\n", + " [CH][CH2](62) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " [C]C(140) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " [CH]=C(60) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n", + " C2H4(18) + CH3CH(19) <=> [CH2]C[CH]C(223)\n", + " [CH2]O[O](63) + C2H5(13) <=> CH3OO(20) + C2H4(18)\n", + " COO(81) + [CH]=C(60) <=> CH3OO(20) + C2H4(18)\n", + " CH3OO(20) + C2H4(18) <=> [CH2]COOC(224)\n", + " CH3CH(19) + CH3CH(19) <=> [CH]=C(60) + C2H5(13)\n", + " CH3CH(19) + CH3CH(19) <=> [CH][CH2](62) + C2H5(13)\n", + " CH3OO(20) + CH3CH(19) <=> C[CH]OOC(225)\n", + " CH3OO(20) + CH3CH(19) <=> COO(81) + [CH]=C(60)\n", + " COO(81) + [CH][CH2](62) <=> CH3OO(20) + CH3CH(19)\n", + " CH3OO(20) + CH3CH(19) <=> [CH2]O[O](63) + C2H5(13)\n", + " [CH2]O[O](63) + COO(81) <=> CH3OO(20) + CH3OO(20)\n", + " CH3OO(20) + CH3OO(20) <=> COOOOC(226)\n", + " HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227)\n", + " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n", + " O=C[O][Pt](227) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n", + " O=C[O][Pt](227) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n", + " X(1) + CC(=O)[O][Pt](230) <=> CO2X(22) + CH3X(27)\n", + " X(1) + CO[C](=O)[Pt](231) <=> CO2X(22) + CH3X(27)\n", + " OX(25) + O=C[O][Pt](227) <=> OHX(31) + CO2X(22)\n", + " X(1) + O=C(O)[O][Pt](232) <=> OHX(31) + CO2X(22)\n", + " X(1) + O=[C]([Pt])OO(233) <=> OHX(31) + CO2X(22)\n", + " OHX(31) + O=C[O][Pt](227) <=> H2OX(32) + CO2X(22)\n", + " COX(23) + O=C[O][Pt](227) <=> CO2X(22) + CHOX(33)\n", + " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n", + " X(1) + O=CC(=O)[O][Pt](234) <=> CO2X(22) + CHOX(33)\n", + " X(1) + O=CO[C](=O)[Pt](235) <=> CO2X(22) + CHOX(33)\n", + " X(1) + X(1) + O=C=C=O(236) <=> COX(23) + COX(23)\n", + " X(1) + O=C=C=O.[Pt](237) <=> COX(23) + COX(23)\n", + " COX(23) + CH4X(24) <=> HX(21) + C[C](=O)[Pt](70)\n", + " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n", + " X(1) + X(1) + C=C=O(238) <=> COX(23) + CH2X(26)\n", + " X(1) + C=C=O.[Pt](239) <=> COX(23) + CH2X(26)\n", + " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " X(1) + C[C](=O)[Pt](70) <=> COX(23) + CH3X(27)\n", + " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n", + " X(1) + O=C=[CH][Pt](240) <=> COX(23) + CHX(28)\n", + " X(1) + O=C=[C]=[Pt](241) <=> CX(29) + COX(23)\n", + " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n", + " X(1) + OO[C]#[Pt](242) <=> OHX(31) + COX(23)\n", + " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n", + " X(1) + O=C[C](=O)[Pt](243) <=> COX(23) + CHOX(33)\n", + " OX(25) + CH4X(24) <=> HX(21) + CH3O_X(45)\n", + " CH2X(26) + CH4X(24) <=> HX(21) + C[CH2][Pt](64)\n", + " CHX(28) + CH4X(24) <=> HX(21) + C[CH]=[Pt](71)\n", + " CX(29) + CH4X(24) <=> HX(21) + C[C]#[Pt](244)\n", + " CH2O_X(46) + CH3X(27) <=> CHOX(33) + CH4X(24)\n", + " X(1) + O=O.[Pt](245) <=> OX(25) + OX(25)\n", + " X(1) + CH2O_X(46) <=> OX(25) + CH2X(26)\n", + " X(1) + CH3O_X(45) <=> OX(25) + CH3X(27)\n", + " X(1) + O[O][Pt](246) <=> OX(25) + OHX(31)\n", + " OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246)\n", + " X(1) + O=C[O][Pt](227) <=> OX(25) + CHOX(33)\n", + " X(1) + C=C.[Pt](74) <=> CH2X(26) + CH2X(26)\n", + " X(1) + C[CH2][Pt](64) <=> CH2X(26) + CH3X(27)\n", + " X(1) + C=[CH][Pt](73) <=> CHX(28) + CH2X(26)\n", + " X(1) + C=[C]=[Pt](247) <=> CX(29) + CH2X(26)\n", + " X(1) + CH2OH_X(48) <=> OHX(31) + CH2X(26)\n", + " H2OX(32) + CH2X(26) <=> HX(21) + CH2OH_X(48)\n", + " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n", + " CHX(28) + CH2O_X(46) <=> CHOX(33) + CH2X(26)\n", + " X(1) + O=C[CH2][Pt](69) <=> CHOX(33) + CH2X(26)\n", + " X(1) + CC.[Pt](65) <=> CH3X(27) + CH3X(27)\n", + " X(1) + C[CH]=[Pt](71) <=> CHX(28) + CH3X(27)\n", + " X(1) + C[C]#[Pt](244) <=> CX(29) + CH3X(27)\n", + " X(1) + CH3OH_X(43) <=> OHX(31) + CH3X(27)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n", + " CH2X(26) + CH2O_X(46) <=> CHOX(33) + CH3X(27)\n", + " X(1) + CC=O.[Pt](72) <=> CHOX(33) + CH3X(27)\n", + " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n", + " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n", + " CX(29) + CH2O_X(46) <=> CHX(28) + CHOX(33)\n", + " X(1) + O=C[CH]=[Pt](248) <=> CHX(28) + CHOX(33)\n", + " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n", + " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n", + " X(1) + O=C[C]#[Pt](249) <=> CX(29) + CHOX(33)\n", + " X(1) + X(1) + H2O2(51) <=> OHX(31) + OHX(31)\n", + " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n", + " OX(25) + CH2O_X(46) <=> OHX(31) + CHOX(33)\n", + " X(1) + X(1) + O=CO(98) <=> OHX(31) + CHOX(33)\n", + " X(1) + OO[CH]=[Pt](250) <=> OHX(31) + CHOX(33)\n", + " X(1) + O=CO.[Pt](251) <=> OHX(31) + CHOX(33)\n", + " OHX(31) + CH2O_X(46) <=> H2OX(32) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n", + " COX(23) + CH2O_X(46) <=> CHOX(33) + CHOX(33)\n", + " X(1) + X(1) + O=CC=O(150) <=> CHOX(33) + CHOX(33)\n", + " X(1) + O=CC=O.[Pt](252) <=> CHOX(33) + CHOX(33)\n", + "\n", + "After model enlargement:\n", + " The model core has 36 species and 109 reactions\n", + " The model edge has 219 species and 613 reactions\n", + "\n", + "\n", + "Completed initial enlarge edge step.\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 63 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 63 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 180 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 180 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:38\n", + " Memory used: 884.54 MB\n", + "\n", + "Making seed mechanism...\n", + "Beginning model generation stage 1...\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reached max number of objects...preparing to terminate\n", + "At time 1.1739e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10132134133573455 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species O[CH]=[Pt](229) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O[CH]=[Pt](229)\n", + "Created 0 new edge species\n", + "Moved 8 reactions from edge to core\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n", + " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n", + " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n", + " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n", + " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 37 species and 117 reactions\n", + " The model edge has 218 species and 605 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "For reaction OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229), Ea raised from 48.7 to 53.2 kJ/mol to match endothermicity of reaction.\n", + "For reaction H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 143.8 to 146.0 kJ/mol to match endothermicity of reaction.\n", + "For reaction X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 58.3 to 62.4 kJ/mol to match endothermicity of reaction.\n", + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 11 new edge species\n", + " O=C=CO(253)\n", + " O=C=CO.[Pt](254)\n", + " C[CH](O)[Pt](255)\n", + " C=CO.[Pt](256)\n", + " OC=[CH][Pt](257)\n", + " OC=[C]=[Pt](258)\n", + " OO.[Pt](259)\n", + " O[CH](O)[Pt](260)\n", + " O=C[CH](O)[Pt](261)\n", + " OC=CO(262)\n", + " OC=CO.[Pt](263)\n", + "Added 0 new core reactions\n", + "Created 48 new edge reactions\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n", + " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n", + " X(1) + CH2OH_X(48) <=> HX(21) + O[CH]=[Pt](229)\n", + " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n", + " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " CHX(28) + OO[C]#[Pt](242) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " X(1) + X(1) + O=C=CO(253) <=> COX(23) + O[CH]=[Pt](229)\n", + " X(1) + O=C=CO.[Pt](254) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[CH]=[Pt](229) + CH4X(24) <=> CH3X(27) + CH2OH_X(48)\n", + " O[CH]=[Pt](229) + CH4X(24) <=> HX(21) + C[CH](O)[Pt](255)\n", + " O[O][Pt](246) + CHX(28) <=> OX(25) + O[CH]=[Pt](229)\n", + " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n", + " X(1) + X(1) + O=CO(98) <=> OX(25) + O[CH]=[Pt](229)\n", + " X(1) + O=CO.[Pt](251) <=> OX(25) + O[CH]=[Pt](229)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n", + " X(1) + X(1) + C=CO(57) <=> CH2X(26) + O[CH]=[Pt](229)\n", + " X(1) + C=CO.[Pt](256) <=> CH2X(26) + O[CH]=[Pt](229)\n", + " CH2X(26) + CH2OH_X(48) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " CHX(28) + CH3OH_X(43) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " X(1) + C[CH](O)[Pt](255) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + CH2OH_X(48) <=> CHX(28) + O[CH]=[Pt](229)\n", + " X(1) + OC=[CH][Pt](257) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " X(1) + OC=[C]=[Pt](258) <=> CX(29) + O[CH]=[Pt](229)\n", + " H2X(30) + O[CH]=[Pt](229) <=> HX(21) + CH2OH_X(48)\n", + " OHX(31) + O[CH]=[Pt](229) <=> OX(25) + CH2OH_X(48)\n", + " OO.[Pt](259) + CHX(28) <=> OHX(31) + O[CH]=[Pt](229)\n", + " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n", + " X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229)\n", + " H2OX(32) + O[CH]=[Pt](229) <=> OHX(31) + CH2OH_X(48)\n", + " H2OX(32) + O[CH]=[Pt](229) <=> HX(21) + O[CH](O)[Pt](260)\n", + " CHOX(33) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n", + " CHX(28) + OO[CH]=[Pt](250) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " CHX(28) + O=CO.[Pt](251) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + CH2O_X(46) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " X(1) + O=C[CH](O)[Pt](261) <=> CHOX(33) + O[CH]=[Pt](229)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHX(28) + O[CH](O)[Pt](260)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH2OH_X(48)\n", + " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHOX(33) + CH2OH_X(48)\n", + " X(1) + X(1) + OC=CO(262) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n", + " X(1) + OC=CO.[Pt](263) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n", + "\n", + "After model enlargement:\n", + " The model core has 37 species and 117 reactions\n", + " The model edge has 229 species and 653 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 71 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 71 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 228 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 228 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:46\n", + " Memory used: 886.18 MB\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reached max number of objects...preparing to terminate\n", + "At time 7.1661e-10 s, species O[C]#[Pt](228) at rate ratio 0.10217273902218742 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", + "Adding species O[C]#[Pt](228) to model core\n", + "\n", + "Summary of Model Enlargement\n", + "---------------------------------\n", + "Added 1 new core species\n", + " O[C]#[Pt](228)\n", + "Created 0 new edge species\n", + "Moved 20 reactions from edge to core\n", + " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n", + " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n", + " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n", + " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n", + " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n", + " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n", + " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n", + " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n", + " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n", + " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n", + " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n", + " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n", + " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n", + " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n", + " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n", + " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n", + "Added 0 new core reactions\n", + "Created 0 new edge reactions\n", + "\n", + "After model enlargement:\n", + " The model core has 38 species and 137 reactions\n", + " The model edge has 228 species and 633 reactions\n", + "\n", + "\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating thermo for new species...\n", + "\n", + "Summary of Secondary Model Edge Enlargement\n", + "---------------------------------\n", + "Added 0 new core species\n", + "Created 6 new edge species\n", + " O=C=[C](O)[Pt](264)\n", + " C[C](O)=[Pt](265)\n", + " C=[C](O)[Pt](266)\n", + " O[C](O)=[Pt](267)\n", + " O=C[C](O)=[Pt](268)\n", + " OC=[C](O)[Pt](269)\n", + "Added 0 new core reactions\n", + "Created 21 new edge reactions\n", + " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n", + " CX(29) + OO[C]#[Pt](242) <=> COX(23) + O[C]#[Pt](228)\n", + " X(1) + O=C=[C](O)[Pt](264) <=> COX(23) + O[C]#[Pt](228)\n", + " O[C]#[Pt](228) + CH4X(24) <=> HX(21) + C[C](O)=[Pt](265)\n", + " O[O][Pt](246) + CX(29) <=> OX(25) + O[C]#[Pt](228)\n", + " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n", + " CX(29) + CH2OH_X(48) <=> O[C]#[Pt](228) + CH2X(26)\n", + " X(1) + C=[C](O)[Pt](266) <=> O[C]#[Pt](228) + CH2X(26)\n", + " CX(29) + CH3OH_X(43) <=> O[C]#[Pt](228) + CH3X(27)\n", + " X(1) + C[C](O)=[Pt](265) <=> O[C]#[Pt](228) + CH3X(27)\n", + " OO.[Pt](259) + CX(29) <=> OHX(31) + O[C]#[Pt](228)\n", + " X(1) + O[C](O)=[Pt](267) <=> OHX(31) + O[C]#[Pt](228)\n", + " H2OX(32) + O[C]#[Pt](228) <=> HX(21) + O[C](O)=[Pt](267)\n", + " CX(29) + OO[CH]=[Pt](250) <=> CHOX(33) + O[C]#[Pt](228)\n", + " CX(29) + O=CO.[Pt](251) <=> CHOX(33) + O[C]#[Pt](228)\n", + " X(1) + O=C[C](O)=[Pt](268) <=> CHOX(33) + O[C]#[Pt](228)\n", + " CX(29) + O[CH](O)[Pt](260) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " CHX(28) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n", + " X(1) + OC=[C](O)[Pt](269) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n", + " CX(29) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[C]#[Pt](228)\n", + "\n", + "After model enlargement:\n", + " The model core has 38 species and 137 reactions\n", + " The model edge has 234 species and 654 reactions\n", + "\n", + "\n", + "Saving current model core to Chemkin file...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 91 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 91 reactions.\n", + "Saving current model core and edge to Chemkin file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 249 reactions.\n", + "Saving annotated version of Chemkin files...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 249 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updating RMG execution statistics...\n", + " Execution time (DD:HH:MM:SS): 00:00:00:55\n", + " Memory used: 886.18 MB\n", + "\n", + "Making seed mechanism...\n", + "Conducting simulation of reaction system 1...\n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reached max number of objects...preparing to terminate\n", + "At time 4.0525e-09 s, species COOH_X(37) at rate ratio 0.10037397535966601 exceeded the minimum rate for moving to model core of 0.1\n", + "terminating simulation due to interrupt...\n", + "\n", + "\n", "Adding species COOH_X(37) to model core\n", "\n", "Summary of Model Enlargement\n", @@ -2612,7 +5736,13 @@ " The model edge has 233 species and 643 reactions\n", "\n", "\n", - "For reaction generation 1 process is used.\n", + "For reaction generation 1 process is used.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Generating thermo for new species...\n", "\n", "Summary of Secondary Model Edge Enlargement\n", @@ -2710,136 +5840,41 @@ "Saving annotated version of Chemkin files...\n", "Chemkin file contains 545 reactions.\n", "Chemkin file contains 304 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", - "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:01:21\n", - " Memory used: 886.74 MB\n", - "\n", - "Conducting simulation of reaction system 2...\n", - "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", - "Reached max number of objects...preparing to terminate\n", - "At time 5.4841e-08 s, species [CH]C(61) at rate ratio 0.10142010078648805 exceeded the minimum rate for moving to model core of 0.1\n", - "terminating simulation due to interrupt...\n", - "\n", - "\n", - "Adding species [CH]C(61) to model core\n", - "\n", - "Summary of Model Enlargement\n", - "---------------------------------\n", - "Added 1 new core species\n", - " [CH]C(61)\n", - "Created 0 new edge species\n", - "Moved 1 reactions from edge to core\n", - " [CH]C(61) <=> C2H4(18)\n", - "Added 0 new core reactions\n", - "Created 0 new edge reactions\n", - "\n", - "After model enlargement:\n", - " The model core has 40 species and 149 reactions\n", - " The model edge has 248 species and 697 reactions\n", - "\n", - "\n", - "For reaction generation 1 process is used.\n", - "Generating thermo for new species...\n", - "Warning: Marked reaction X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27) as duplicate of X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27) for saving to Chemkin file.\n", - "\n", - "Summary of Secondary Model Edge Enlargement\n", - "---------------------------------\n", - "Added 0 new core species\n", - "Created 9 new edge species\n", - " [CH][CH2][Pt](286)\n", - " [CH]C.[Pt](287)\n", - " CC1OC1=O(288)\n", - " [CH]COC=O(289)\n", - " [CH]CC(=O)O(290)\n", - " [CH]CC=O(291)\n", - " CC1CO1(292)\n", - " CC1OC1C(293)\n", - " CC1CC1(294)\n", - "Added 3 new core reactions\n", - " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", - " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", - " X(1) + X(1) + [CH]C(61) <=> CHX(28) + CH3X(27)\n", - "Created 11 new edge reactions\n", - " CH(41) + CH3(10) <=> [CH]C(61)\n", - " X(1) + X(1) + [CH]C(61) <=> HX(21) + [CH][CH2][Pt](286)\n", - " X(1) + X(1) + [CH]C(61) <=> HX(21) + C[C]#[Pt](244)\n", - " X(1) + [CH]C(61) <=> [CH]C.[Pt](287)\n", - " CO2(4) + [CH]C(61) <=> CC1OC1=O(288)\n", - " CO2(4) + [CH]C(61) <=> [CH]COC=O(289)\n", - " CO2(4) + [CH]C(61) <=> [CH]CC(=O)O(290)\n", - " CO(7) + [CH]C(61) <=> [CH]CC=O(291)\n", - " CH2O(9) + [CH]C(61) <=> CC1CO1(292)\n", - " [CH]C(61) + CH3CHO(16) <=> CC1OC1C(293)\n", - " C2H4(18) + [CH]C(61) <=> CC1CC1(294)\n", - "\n", - "After model enlargement:\n", - " The model core has 40 species and 152 reactions\n", - " The model edge has 257 species and 708 reactions\n", - "\n", - "\n", - "Saving current model core to Chemkin file...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", - "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", - "Saving current model core and edge to Chemkin file...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", - "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:01:43\n", - " Memory used: 888.25 MB\n", + " Execution time (DD:HH:MM:SS): 00:00:01:08\n", + " Memory used: 886.18 MB\n", "\n", "Making seed mechanism...\n", "Conducting simulation of reaction system 1...\n", - "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", - "At time 6.6507e-06 s, reached target termination RateRatio: 0.0497658467962582\n", - " CH4(2) conversion: 0.2206 \n", - "\n", - "\n", - "For reaction generation 1 process is used.\n", - "\n", - "Summary of Secondary Model Edge Enlargement\n", - "---------------------------------\n", - "Added 0 new core species\n", - "Created 0 new edge species\n", - "Added 0 new core reactions\n", - "Created 0 new edge reactions\n", - "\n", - "After model enlargement:\n", - " The model core has 40 species and 152 reactions\n", - " The model edge has 257 species and 708 reactions\n", - "\n", - "\n", - "Saving current model core to Chemkin file...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", - "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", - "Saving current model core and edge to Chemkin file...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", - "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", - "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:02:32\n", - " Memory used: 894.27 MB\n", - "\n", - "Conducting simulation of reaction system 2...\n", - "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n", - "At time 4.7641e-06 s, reached target termination RateRatio: 0.04974422721809749\n", - " CH4(2) conversion: 0.8567 \n", + "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At time 6.5270e-06 s, reached target termination RateRatio: 0.049852590916326926\n", + " CH4(2) conversion: 0.7285 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "\n", "For reaction generation 1 process is used.\n", @@ -2852,38 +5887,56 @@ "Created 0 new edge reactions\n", "\n", "After model enlargement:\n", - " The model core has 40 species and 152 reactions\n", - " The model edge has 257 species and 708 reactions\n", + " The model core has 39 species and 148 reactions\n", + " The model edge has 249 species and 698 reactions\n", "\n", "\n", "Saving current model core to Chemkin file...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 47 reactions.\n", - "Chemkin file contains 105 reactions.\n", + "Chemkin file contains 46 reactions.\n", + "Chemkin file contains 102 reactions.\n", "Saving current model core and edge to Chemkin file...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", "Saving annotated version of Chemkin files...\n", - "Chemkin file contains 553 reactions.\n", - "Chemkin file contains 310 reactions.\n", - "Saving current model core to HTML file...\n", - "Saving current model edge to HTML file...\n", + "Chemkin file contains 545 reactions.\n", + "Chemkin file contains 304 reactions.\n", + "Saving current model core to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving current model edge to HTML file...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Updating RMG execution statistics...\n", - " Execution time (DD:HH:MM:SS): 00:00:03:08\n", - " Memory used: 897.90 MB\n", + " Execution time (DD:HH:MM:SS): 00:00:01:48\n", + " Memory used: 890.50 MB\n", "\n", - "Making seed mechanism...\n", + "Making seed mechanism...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Performing final model checks...\n", "No collision rate violators found in the model's core.\n", "\n", "MODEL GENERATION COMPLETED\n", "\n", - "The final model core has 40 species and 152 reactions\n", - "The final model edge has 257 species and 708 reactions\n", + "The final model core has 39 species and 148 reactions\n", + "The final model edge has 249 species and 698 reactions\n", "\n", - "RMG execution terminated at Tue Apr 7 16:48:07 2026\n" + "RMG execution terminated at Thu Apr 16 08:26:21 2026\n" ] }, { @@ -2892,7 +5945,7 @@ "0" ] }, - "execution_count": 8, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -2906,7 +5959,7 @@ "input_file = \"\"\"\n", "# Data sources\n", "database(\n", - " thermoLibraries=['covDepSurfaceThermoPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", + " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n", " reactionLibraries = [\n", " ('Surface/Methane/Deutschmann_Pt', False),\n", " ('Surface/Methane/Vlachos_Pt111', False),\n", @@ -3202,25 +6255,7 @@ ")\n", "\n", "surfaceReactor(\n", - " temperature=(600,'K'),\n", - " initialPressure=(1.0, 'bar'),\n", - " initialGasMoleFractions={\n", - " \"CH4\": 0.108574,\n", - " \"O2\": 0.02088,\n", - " \"Ar\": 0.78547,\n", - " },\n", - " initialSurfaceCoverages={\n", - " \"X\": 1.0,\n", - " },\n", - " surfaceVolumeRatio=(1.e5, 'm^-1'),\n", - " terminationConversion = { \"CH4\":0.95,},\n", - " terminationTime=(10., 's'),\n", - " # terminationConversion={'O2': 0.99,},\n", - " terminationRateRatio=0.05\n", - ")\n", - "\n", - "surfaceReactor(\n", - " temperature=(2000,'K'),\n", + " temperature=(1000,'K'),\n", " initialPressure=(1.0, 'bar'),\n", " initialGasMoleFractions={\n", " \"CH4\": 0.041866,\n", @@ -3246,19 +6281,9 @@ "model(\n", " toleranceKeepInEdge=0.0,\n", " toleranceMoveToCore=1e-1,\n", - "# inturrupt tolerance was 0.1 wout pruning, 1e8 w pruning on\n", " toleranceInterruptSimulation=1e8,\n", " maximumEdgeSpecies=500000,\n", - " maxNumSpecies=44,\n", - "# PRUNING: uncomment to prune\n", - "# minCoreSizeForPrune=50,\n", - "# prune before simulation based on thermo\n", - "# toleranceThermoKeepSpeciesInEdge=0.5,\n", - "# prune rxns from edge that dont move into core\n", - "# minSpeciesExistIterationsForPrune=2,\n", - "# FILTERING: set so threshold is slightly larger than max rate constants\n", - "# filterReactions=True,\n", - "# filterThreshold=5e8, # default value\n", + " maxNumSpecies=40,\n", ")\n", "\n", "options(\n", @@ -3305,7 +6330,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 3, "id": "ad06f6c3", "metadata": {}, "outputs": [ @@ -3313,15 +6338,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "Base mechanism contains 23 gas species and 17 surface species\n", - "Coverage-dependent mechanism contains 23 gas species and 17 surface species\n" + "Base mechanism contains 22 gas species and 17 surface species\n", + "Coverage-dependent mechanism contains 22 gas species and 17 surface species\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_180850/4041569244.py:4: UserWarning: StickingRate::validate: \n", + "/tmp/ipykernel_663369/4041569244.py:4: UserWarning: StickingRate::validate: \n", "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n", "at T = 200.0\n", "at T = 500.0\n", @@ -3331,7 +6356,7 @@ "at T = 10000.0\n", "\n", " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n", - "/tmp/ipykernel_180850/4041569244.py:4: UserWarning: StickingRate::validate: \n", + "/tmp/ipykernel_663369/4041569244.py:4: UserWarning: StickingRate::validate: \n", "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n", "at T = 200.0\n", "at T = 500.0\n", @@ -3341,7 +6366,7 @@ "at T = 10000.0\n", "\n", " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n", - "/tmp/ipykernel_180850/4041569244.py:10: UserWarning: StickingRate::validate: \n", + "/tmp/ipykernel_663369/4041569244.py:10: UserWarning: StickingRate::validate: \n", "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n", "at T = 200.0\n", "at T = 500.0\n", @@ -3351,7 +6376,7 @@ "at T = 10000.0\n", "\n", " surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n", - "/tmp/ipykernel_180850/4041569244.py:10: UserWarning: StickingRate::validate: \n", + "/tmp/ipykernel_663369/4041569244.py:10: UserWarning: StickingRate::validate: \n", "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n", "at T = 200.0\n", "at T = 500.0\n", @@ -3453,15 +6478,23 @@ "surf_concentrations_cov_dep = np.array(surf_concentrations_cov_dep)\n" ] }, + { + "cell_type": "markdown", + "id": "a636e9df-fa0b-461e-ab18-5e63f6154917", + "metadata": {}, + "source": [ + "# Coverage-dependent thermo results in less CO on the surface" + ] + }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 4, "id": "868aa235", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -3472,7 +6505,6 @@ ], "source": [ "# Plot the results\n", - "\n", "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n", "\n", "# Plot COX, X, OX, HX\n", @@ -3493,20 +6525,18 @@ "plt.title('Surface Coverages vs Time')\n", "plt.legend()\n", "plt.xscale('log')\n", - "# plt.yscale('log')\n", "plt.savefig('cross_surface_coverages.png')\n", "plt.show()\n" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 5, "id": "6dfaabf1", "metadata": {}, "outputs": [], "source": [ - "# Plot the enthalpy of XCO versus coverage\n", - "\n", + "# Compute the enthalpy of XCO versus coverage\n", "i_XCO_base = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_base)\n", "i_XCO_cov_dep = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_cov_dep)\n", "\n", @@ -3533,25 +6563,33 @@ "\n" ] }, + { + "cell_type": "markdown", + "id": "18ad38fb-7683-4398-824a-08084187e89b", + "metadata": {}, + "source": [ + "# Enthalpy with coverage dependence corrections fits the DFT data pretty well" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "f28971e5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 49, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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AnTt3AAC9evWCtbW13mPmzJkQEcTGxup9Tk6f3b9/f3z77bcYMmQItm7diqNHj+LYsWMoXbq03u94bn+7Ty7LrKtBgwbZ6lq1apXB/wikwsNL+cnsWVtbY9KkSZg7dy7OnTv31PY//fQTKlSogFWrVun9izklJSVfn1+qVCkoFAqo1eps655ctn79eiQlJWHdunXw9fXVLT99+nSO287pX/Rubm44evToUz+ruCmIn0tuP4Mnw9moUaOwfPly/P777wgPD4eLiwtee+21PLddqlQpWFhYICYmJtu627dvA4Bej4AxMntDKlasiOnTpyMlJQXbt29HcHAwDh06BEtLS3To0AE//PAD1q9fj48++ijP7VlaWqJVq1YIDw9HdHQ0vL29s7WJjo7GiRMn0KlTJ11YyM3gwYMxa9YsrFy5En379sWGDRvw/vvv671PpVJhypQpmDJlCu7cuaPrReratSsuXryY67Y7dOiAb775BocPH0bjxo3zrCPz55jbzyDr8c/s0Zs3bx4ePnyIn3/+GSkpKRg8eLCuTWb7b775JtfPfjK4PPk3GRcXh02bNmHSpEl6P5eUlJRswcrNzU0XfLJ68vc2s641a9bo/X+CzAd7jsis5PQ/RQC6ruvMf8EDufduKBQK2NjY6P1PTq1W4/fff89XTSqVCg0bNsS6dev0ejgSEhKwcePGbJ+dWVsmEdE7xfM0rVq1QkJCAjZs2KC3/Oeff85P+QUic3+e5VRKQfxcfvnlF92pIgC4ceMGDh48iJYtW+q1q1evHoKCgjBz5kysWLECwcHBUKlUeW5bpVKhUaNGWLdund5+ajQa/PTTT/D29kblypUNrjWrkJAQXLlyBUuXLoVSqYSLiwt++OEHHDt2DLNmzQIAdO/eHTVq1EBoaGiu/wjYunUrHj16pNumiGDYsGHIyMjQa5eRkYF3330XIoKQkJCn1le1alU0atQIYWFhOYaMJ3l4eCA4OBivvvoqLl26pKspJ6NHj4ZKpcKwYcMQFxeXbb2I4LfffgMABAYGQqlU4qefftJrEx0djV27dqFNmzZ6ywcPHozHjx/jl19+wZIlSxAYGIgqVaro1jdp0gQuLi6IiIjIsRe1fv36sLGxyfPYKBQKiIje3zQA/Pjjj9mOe4sWLbBr1y69nh+NRoPVq1frtevQoQOsrKxw5cqVXOsi02LPEZmVDh06wNvbG127dkWVKlWg0Whw+vRpzJ49Gw4ODhg1apSubY0aNbBy5UqsWrUK/v7+sLOzQ40aNdClSxesW7cOw4YNQ69evXDz5k1MmzYNXl5eTz0FkJtp06ahY8eOaNeuHcaOHYuMjAzMnDkTKpVK71+P7dq1g42NDV599VV8+OGHePz4Mb7//ns8ePDA4M8aOHAg5s6di4EDB2L69OmoVKkS/vjjD2zdutWomi9fvozDhw9nW+7t7Z1jT0NeMmfA/uGHH+Do6Ag7OztUqFAhx9NpuSmIn8vdu3fRs2dPvPXWW4iLi8OkSZNgZ2eXYwAYNWoU+vbtC4VCgWHDhhm0/dDQULRr1w6tWrXCBx98ABsbG3z33Xc4d+4cfvnll3zNhv7nn3/qTkk1atRIt7xz586602vdunVDQEAAfvvtN7Rv3x6BgYF499130apVK6hUKty4cQNr1qzBxo0bdb9LTZo0wVdffYX3338fTZs2xYgRI1C+fHndJJBHjhzBV199haCgIIPqfOONN/DOO+/g9u3bCAoKyjapZaNGjdClSxfUrFkTpUqVwoULF7B8+XIEBgbC3t4+1+1WqFBB1yNVu3Zt3SSQgHZy0cWLF0NE0LNnT7i4uODTTz/Fxx9/jIEDB+LVV1/F/fv3MWXKFNjZ2WHSpEl6265SpQoCAwMRGhqKmzdvZpuF3MHBAd988w0GDRqE2NhY9OrVC2XKlME///yDM2fO4J9//sH333+f53FxcnJC8+bNMWvWLLi7u8PPzw979+7FokWL4OLiotd2woQJ2LhxI9q0aYMJEyZAqVRiwYIFunFNFhba/gg/Pz9MnToVEyZMwNWrV9GxY0eUKlUKd+7cwdGjR3W9dGRCJhoITpSjVatWSf/+/aVSpUri4OAg1tbWUr58eRkwYIDePCci2iuV2rdvL46OjtnmmpkxY4ZuPpaqVavKwoULc5yTCP/Oc/SknCYh3LBhg9SsWVNsbGykfPnyMmPGjBy3uXHjRqlVq5bY2dlJuXLlZNy4cbJly5ZsV3vlNXlidHS0vPLKK+Lg4CCOjo7yyiuvyMGDBwvkarWslz9nznP0pBYtWmS7EvCrr76SChUqiKWlZY7zHD1p0KBB2eb/MfTnktc8RyNHjpTSpUuLra2tNGvWLNtVX5lSUlLE1tZWOnbsmMfRyi5zniOVSiVKpVIaN26cbd4rQ69WS0xMFH9/f6levbreZfuZHjx4IGXLlpUGDRroLrd/+PChTJs2TerWrav3N/D666/LgQMHsm3j0KFD0qtXL/Hw8BArKyspU6aMvPzyyznO9ZSXuLg4USqVAkAWLlyYbf1HH30k9evXl1KlSomtra34+/vL6NGjdZf6P82VK1dk2LBhUrFiRbG1tRWlUikBAQEyZsyYbPP//Pjjj7q/NWdnZ+nevXuul7f/8MMPAkCUSqXExcXl2Gbv3r3SuXNncXV1FWtraylXrpx07txZby6wzN/DrFeaZcr8eyxVqpQ4OjpKx44d5dy5czn+f2Lfvn3SqFEjsbW1FU9PTxk3bpzMnDlTAGSbBHP9+vXSqlUrcXJyEltbW/H19ZVevXplm4OJip5CJEsfNRGRGdqzZw9atWqF1atXo1evXga9Z+PGjejWrRs2b96Ml156qZArJMpd+/btcf369WxXq5L54mk1IipRIiIicOPGDYwdOxa1a9fWXdZNVBTGjBmDOnXqwMfHB7GxsVixYgW2b9+ORYsWmbo0MgLDERGVKMOGDcOBAwdQt25dLF26NF/jhIjyKyMjAxMnToRarYZCoUBAQACWL1+O119/3dSlkRF4Wo2IiIgoC17KT0RERJQFwxERERFRFgxHRERERFlwQHY+aDQa3L59G46OjhzsSUREVEyICBISElC2bFndpJw5YTjKh9u3b8PHx8fUZRAREVE+3Lx5M887BTAc5YOjoyMA7cF1cnIycTVERERkiPj4ePj4+Oi+x3PDcJQPmafSnJycGI6IiIiKmacNieGAbCIiIqIsGI6IiIiIsmA4IiIiIsqCY44KSUZGBtLS0kxdBpHJWVtbw9LS0tRlEBEZjOGogIkI1Go1Hj58aOpSiMyGi4sLPD09OS8YERULDEcFLDMYlSlTBvb29vwyoOeaiODRo0e4e/cuAMDLy8vEFRERPR3DUQHKyMjQBSM3NzdTl0NkFpRKJQDg7t27KFOmDE+xEZHZ44DsApQ5xsje3t7ElRCZl8y/CY7DI6LigOGoEPBUGpE+/k0QUXHCcEREREQmlZCaAHWSOsd16iQ1ElITirQehiMiIiIymYTUBAzdMRSDwwdnC0jqJDUGhw/G0B1DizQgMRwRACA4OBgKhUL3cHNzQ8eOHfHXX3+ZujQiIirBktKSEJsci+jEaL2AlBmMohOjEZsci6S0pCKrieGIdDp27IiYmBjExMRg586dsLKyQpcuXUxdFhERlWCeKk+EdQyDt4O3LiCdvntaF4y8HbwR1jEMnirPIquJ4Yh0bG1t4enpCU9PT9SuXRvjx4/HzZs38c8//wAAxo8fj8qVK8Pe3h7+/v749NNP9a4+OnPmDFq1agVHR0c4OTmhXr16OH78uG79wYMH0bx5cyiVSvj4+GDkyJFISiq6fwkQEZF5ejIgDdgywGTBCOA8R4VORJCclmGSz1ZaW+b7KqHExESsWLECFStW1M3Z5OjoiCVLlqBs2bI4e/Ys3nrrLTg6OuLDDz8EALz22muoU6cOvv/+e1haWuL06dOwtrYGAJw9exYdOnTAtGnTsGjRIvzzzz8YMWIERowYgbCwsILZYSIiKrY8VZ4IbRaKAVsG6JaFNgst8mAEAAoRkSL/1GIuPj4ezs7OiIuLg5OTk27548ePce3aNVSoUAF2dnYAgEep6QiYuNUkdUZM7QB7G8Pyb3BwMH766Sdd3UlJSfDy8sKmTZtQt27dHN8za9YsrFq1Stc75OTkhG+++QaDBg3K1nbgwIFQKpX43//+p1u2f/9+tGjRAklJSbrPpZIpp78NIqKsso4xylTQPUe5fX8/iafVSKdVq1Y4ffo0Tp8+jSNHjqB9+/bo1KkTbty4AQBYs2YNmjZtCk9PTzg4OODTTz9FVFSU7v1jxozBkCFD0LZtW8yYMQNXrlzRrTtx4gSWLFkCBwcH3aNDhw7QaDS4du1ake8rERGZj6zByNvBG8s7Ldcbg5TbZf6FhT1H+WBMz1FxOa0WHByMhw8fYv369bplGRkZcHZ2xvvvv48uXbqgadOmmDJlCjp06ABnZ2esXLkSs2fP1rvJbmRkJDZv3owtW7Zg7969WLlyJXr27ImqVauiXbt2GDlyZLbPLl++PGxsbJ51d8mMseeIiHLzZDDK7CnKbfmzMLTniGOOCplCoTD41Ja5USgUsLCwQHJyMg4cOABfX19MmDBBtz6zRymrypUro3Llyhg9ejReffVVhIWFoWfPnqhbty7Onz+PihUrFuUuEBGRmVNZq+CqdAUAvQCUOUh7cPhguCpdobJWFVlNxfNbmwpFSkoK1Gpt1+WDBw/w7bffIjExEV27dkVcXByioqKwcuVKNGjQAJs3b8Zvv/2me29ycjLGjRuHXr16oUKFCoiOjsaxY8fwyiuvANBe6da4cWMMHz4cb731FlQqFS5cuIDt27fjm2++Mcn+EhGR6TnaOGJB2wVISkvK1jOUGZBU1io42jgWWU0MR6QTHh4OLy8vANor06pUqYLVq1ejZcuWAIDRo0djxIgRSElJQefOnfHpp59i8uTJAABLS0vcv38fAwcOxJ07d+Du7o6XX34ZU6ZMAQDUrFkTe/fuxYQJE9CsWTOICF544QX07dvXFLtKRERmxNHGMdfww6vVigljxhwREf82iMg88Go1IiIionxgOCIiIiLKguGIiIiIKAuGIyIiIqIsGI6IiIiIsmA4IiIiIsqC4YiIiIgoC4YjIiIioiwYjoiIiIiyYDgiek7s2bMHCoUCDx8+NHUpRERmjeGIdNRqNd577z34+/vD1tYWPj4+6Nq1K3bu3Gnq0kxq8uTJUCgUUCgUsLKygru7O5o3b46vvvoKKSkppi7PpK5fvw6FQoHTp0+buhQiogJTYsJR5r+Kc3ocO3ZM1y6n9QsWLDBh5ebh+vXrqFevHnbt2oUvvvgCZ8+eRXh4OFq1aoXhw4ebtLbU1FSTfj4AVKtWDTExMYiKisLu3bvRu3dvhIaGIigoCAkJCaYuj4iIClCJCUdBQUGIiYnRewwZMgR+fn6oX7++XtuwsDC9doMGDTJR1eZj2LBhUCgUOHr0KHr16oXKlSujWrVqGDNmDA4fPqxrFxUVhe7du8PBwQFOTk7o06cP7ty5AwC4dOkSFAoFLl68qLftOXPmwM/PD5n3OI6IiMBLL70EBwcHeHh4YMCAAbh3756ufcuWLTFixAiMGTMG7u7uaNeunW47NWrUgEqlgo+PD4YNG4bExES9z1q4cCF8fHxgb2+Pnj17Ys6cOXBxcdFrs3HjRtSrVw92dnbw9/fHlClTkJ6enufxsbKygqenJ8qWLYsaNWrgvffew969e3Hu3DnMnDlT1y41NRUffvghypUrB5VKhUaNGmHPnj269UuWLIGLiwvWr1+PypUrw87ODu3atcPNmzeNqlGhUODHH39Ez549YW9vj0qVKmHDhg162/jjjz9QuXJlKJVKtGrVCtevX8+2XwcPHkTz5s2hVCrh4+ODkSNHIikpSbfez88Pn3/+Od544w04OjqifPny+OGHH3TrK1SoAACoU6cOFAoFWrZsmedxJCIqFqSESk1NlTJlysjUqVP1lgOQ33777Zm2HRcXJwAkLi5Ob3lycrJERERIcnLyfws1GpGURNM8NBqD9uf+/fuiUCjk888/z7OdRqOROnXqSNOmTeX48eNy+PBhqVu3rrRo0ULXpl69evLJJ5/ova9evXoSEhIiIiK3b98Wd3d3CQkJkQsXLsjJkyelXbt20qpVK137Fi1aiIODg4wbN04uXrwoFy5cEBGRuXPnyq5du+Tq1auyc+dOefHFF+Xdd9/VvW///v1iYWEhs2bNkkuXLsn8+fPF1dVVnJ2ddW3Cw8PFyclJlixZIleuXJFt27aJn5+fTJ48Odf9njRpktSqVSvHdd27d5eqVavqXvfv31+CgoLkzz//lL///ltmzZoltra2EhkZKSIiYWFhYm1tLfXr15eDBw/K8ePHpWHDhhIUFGRUjQDE29tbfv75Z7l8+bKMHDlSHBwc5P79+yIiEhUVJba2tjJq1Ci5ePGi/PTTT+Lh4SEA5MGDByIi8tdff4mDg4PMnTtXIiMj5cCBA1KnTh0JDg7WfY6vr6+4urrK/Pnz5fLlyxIaGioWFha6n8nRo0cFgOzYsUNiYmJ0n/+kHP82iIiKWG7f308qseFozZo1YmFhIVFRUXrLAUi5cuXEzc1N6tevL99//71kZGTkua3Hjx9LXFyc7nHz5k3Dw1FKosgkJ9M8UhINOlZHjhwRALJu3bo8223btk0sLS31jun58+cFgBw9elRERObMmSP+/v669ZcuXRIAcv78eRER+fTTT6V9+/Z62808npcuXRIRbTiqXbv2U+v+9ddfxc3NTfe6b9++0rlzZ702r732ml44atasWbYQuHz5cvHy8sr1c/IKR+PHjxelUikiIn///bcoFAq5deuWXps2bdrowmFYWJgAkMOHD+vWX7hwQQDIkSNHDK4RgF4ITUxMFIVCIVu2bBERkZCQEKlataposgTk8ePH64WjAQMGyNtvv633Ofv27RMLCwvd77Cvr6+8/vrruvUajUbKlCkj33//vYiIXLt2TQDIqVOncjw+mRiOiMgcGBqOrIq6p6qoLFq0CB06dICPj4/e8mnTpqFNmzZQKpXYuXMnxo4di3v37uGTTz7JdVuhoaGYMmVKYZdsMvLv6S6FQpFnuwsXLsDHx0fvmAYEBMDFxQUXLlxAgwYN0K9fP4wbNw6HDx9G48aNsWLFCtSuXRsBAQEAgBMnTmD37t1wcHDItv0rV66gcuXKAJDtVCgA7N69G59//jkiIiIQHx+P9PR0PH78GElJSVCpVLh06RJ69uyp956GDRti06ZNutcnTpzAsWPHMH36dN2yjIwMPH78GI8ePYK9vf3TDpceEdEdt5MnT0JEdPuQKSUlBW5ubrrXVlZWevtXpUoV3TFs2LChwTXWrFlTt16lUsHR0RF3794FoP1ZNW7cWO9nGhgYqFfXiRMn8Pfff2PFihV6+6PRaHDt2jVUrVo12+coFAp4enrqPoeIqCQy+3A0efLkpwaTY8eO6X3ZREdHY+vWrfj111+ztc0agmrXrg0AmDp1ap7hKCQkBGPGjNG9jo+Pzxa6cmVtD3x827C2Bc3asC/6SpUqQaFQ4MKFC+jRo0eu7bIGgdyWe3l5oVWrVvj555/RuHFj/PLLL3jnnXd0bTUaDbp27ao3TieTl5eX7rlKpdJbd+PGDbz00ksYOnQopk2bBldXV+zfvx9vvvkm0tLScq0vM/hl/fwpU6bg5Zdfzvb5dnZ2ue57bi5cuKAbd6PRaGBpaYkTJ07A0tJSr92TYTCn45i5zNAara2ts71fo9EAyL7fOdFoNHjnnXcwcuTIbOvKly9v0OcQEZVEZh+ORowYgX79+uXZxs/PT+91WFgY3Nzc0K1bt6duv3HjxoiPj8edO3fg4eGRYxtbW1vY2toaXLMehQKwUT29nQm5urqiQ4cOmD9/PkaOHJktmDx8+BAuLi4ICAhAVFQUbt68qQuHERERiIuL0/UyAMBrr72G8ePH49VXX8WVK1f0fn5169bF2rVr4efnBysrw3/9jh8/jvT0dMyePRsWFtrrCJ4Mv1WqVMHRo0ezvS+runXr4tKlS6hYsaLBn52bixcvIjw8HCEhIQC0g5IzMjJw9+5dNGvWLNf3paen4/jx42jYsCEA7UD2hw8fokqVKgVWY0BAANavX6+3LOvA+szPOX/+/DN9jo2NDQBtzxYRUYlRuGf3ip5Go5EKFSrI2LFjDWr/zTffiJ2dnTx+/NjgzzBqQHYxcfXqVfH09JSAgABZs2aNREZGSkREhHz99ddSpUoVEflvQHazZs3kxIkTcuTIEalXr57egGwR7fGxs7OTWrVqSZs2bfTW3bp1S0qXLi29evWSI0eOyJUrV2Tr1q0yePBgSU9PFxHtmKNRo0bpve/UqVMCQL766iu5cuWKLFu2TMqVK6c3hiZzQPbs2bMlMjJSFixYIG5ubuLi4qLbTnh4uFhZWcmkSZPk3LlzEhERIStXrpQJEybkemwmTZok1apVk5iYGLl165b89ddfMm/ePClTpow0aNBAEhISdG1fe+018fPzk7Vr18rVq1fl6NGjMmPGDNm8ebOI/Dcgu2HDhnL48GE5ceKEBAYGSuPGjY2qETlcWODs7CxhYWEiInLjxg2xsbGR0aNHy8WLF2XFihXi6empd7zOnDkjSqVShg0bJqdOnZLIyEj5/fffZcSIEbpt+vr6yty5c/U+p1atWjJp0iQREUlLSxOlUimfffaZqNVqefjwYY7HsDj/bRBRyfHcDsjesWOHAJCIiIhs6zZs2CA//PCDnD17Vv7++29ZuHChODk5yciRI436jJIYjkS0V5INHz5cfH19xcbGRsqVKyfdunWT3bt369rcuHFDunXrJiqVShwdHaV3796iVquzbat3794CQBYvXpxtXWRkpPTs2VNcXFxEqVRKlSpV5P3339cNHs4pHIloB3t7eXmJUqmUDh06yLJly/S+7EVEfvjhBylXrpwolUrp0aOHfPbZZ+Lp6am3nfDwcAkKChKlUilOTk7SsGFD+eGHH3I9LpMmTRIAAkAsLS3F1dVVmjZtKnPnzs0WqlNTU2XixIni5+cn1tbW4unpKT179pS//vpLRLThyNnZWdauXSv+/v5iY2MjrVu3luvXrxtV49PCkYjIxo0bpWLFimJrayvNmjWTxYsXZzteR48elXbt2omDg4OoVCqpWbOmTJ8+Xbf+aeFIRGThwoXi4+MjFhYW2YJypuL+t0FEJYOh4UghYsDghGKkf//+uHHjBg4cOJBtXeYpkL///hsajQb+/v4YMmQIhg8fbtQpnvj4eDg7OyMuLg5OTk665Y8fP8a1a9dQoUKFfI1foYL31ltv4eLFi9i3b5+pSwGgnefo/ffff+5u4cG/DSIyB7l9fz/J7MccGevnn3/OdV3Hjh3RsWPHIqyGitqXX36Jdu3aQaVSYcuWLVi6dCm+++47U5dFRETFSIkLR/R8O3r0KL744gskJCTA398f8+bNw5AhQ0xdFhERFSMMR1Si5DR9gzkJDg5GcHCwqcsgIqI8lJh7qxEREREVBIYjIiIioiwYjoiIiIiyYDgiIiIiyoLhiIiIiCgLhiMiIiKiLBiOiIiIiLJgOCIA2vl3FAoFFAoFrK2t4eHhgXbt2mHx4sXQaDS6dn5+frp2mQ9vb29Mnjw52/InH9evXzfdDhIRERmI4cjMJKQmQJ2kznGdOkmNhNSEQvvsjh07IiYmBtevX8eWLVvQqlUrjBo1Cl26dEF6erqu3dSpUxETE6N7nDp1Ch988IHeMm9v72ztfHx8Cq12IiKigsIZss1IQmoChu4YitjkWIR1DIOnylO3Tp2kxuDwwXBVumJB2wVwtHEs8M+3tbWFp6f2M8uVK4e6deuicePGaNOmDZYsWaK7DYejo6OuXVYODg6655aWlrm2IyIiMmfsOTIjSWlJiE2ORXRiNAaHD9b1IGUGo+jEaMQmxyIpLanIamrdujVq1aqFdevWFdlnEhERmRLDkRnxVHkirGMYvB28dQHp9N3TumDk7eCdrUepKFSpUkVvvND48ePh4OCge8ybN69I6yEiIipMPK1mZjIDUmYgGrBlAACYLBgBgIhAoVDoXo8bN07v5qnu7u5FXhMREVFhYTgyQ54qT4Q2C9UFIwAIbRZqkmAEABcuXECFChV0r93d3VGxYkWT1EJERFTYeFrNDKmT1AjZF6K3LGRfSK5XsRWmXbt24ezZs3jllVeK/LOJiIhMgeHIzGQdfO3t4I3lnZbrjUEqzICUkpICtVqNW7du4eTJk/j888/RvXt3dOnSBQMHDiy0zyUiIjInDEdm5MlgFNYxDLXL1M42SLuwAlJ4eDi8vLzg5+eHjh07Yvfu3Zg3bx5+//13WFpaFspnEhER6fknEkhLNmkJHHNkRlTWKrgqXQFAb/B11kHarkpXqKxVBf7ZS5YswZIlS57aztBZrjkbNhFR4UtITUBSWlKOY1LVSWqorFWFMi9eoUlJAFa8AljaAK+uBNwrmaQMhiMz4mjjiAVtF+T4i54ZkIrdLzoRERUKU08cXCi2fQI8jAJcygOOpptEmKfVzIyjjWOuV6V5qjyLzy84EREVKnOcOPiZ/L0TOLFE+7z7fMDWdN93DEdERETFkLlOHJwvyQ+BDe9pnzd8B6jQ3KTlMBwREREVU08GpAFbBhS/YAQAWz8G4m8Brv5A20mmrobhqDCIiKlLIDIr/JsgKjyZEwdnZcqJg412KRw4vQKAAujxPWBT8BcdGYvhqABZW1sDAB49emTiSojMS+bfRObfCBEVHHOaONhoj2KBjSO1z4NGAOUbm7aef/FqtQJkaWkJFxcX3L17FwBgb2+vd08youeNiODRo0e4e/cuXFxcOF8WUQF7cn680GahCNkXohuDZPan1v4YByTeAdxfBFp9YupqdBiOCpinp/aXMDMgERHg4uKi+9sgooKR08TBT9683KwDUsTvwLk1gMIS6Pk9YG1n6op0GI4KmEKhgJeXF8qUKYO0tDRTl0NkctbW1uwxIioEppw4+Jkl/gNsGq193vR9oFw9k5bzJIVwpKTR4uPj4ezsjLi4ODg5OZm6HCIiek4VyxmyRYBfBwAXNgJlqgFv7wasbIvkow39/i5RA7IjIyPRvXt3uLu7w8nJCU2aNMHu3bv12kRFRaFr165QqVRwd3fHyJEjkZqaaqKKiYiI8q9YThx8bq02GFlYAT0XFFkwMkaJCkedO3dGeno6du3ahRMnTqB27dro0qUL1GrtiP2MjAx07twZSUlJ2L9/P1auXIm1a9di7NixJq6ciIjoOZCgBjb/+53b/EPAq6Zp68lFiTmtdu/ePZQuXRp//vknmjVrBgBISEiAk5MTduzYgTZt2mDLli3o0qULbt68ibJlywIAVq5cieDgYNy9e9fgU2Q8rUZERGQkEeCXfkBkOOBVGxiyA7As2uk9nrvTam5ubqhatSqWLVuGpKQkpKen43//+x88PDxQr552oNehQ4dQvXp1XTACgA4dOiAlJQUnTpwwVelEREQl3+mftcHI0kZ7Oq2Ig5ExSszVagqFAtu3b0f37t3h6OgICwsLeHh4IDw8HC4uLgAAtVoNDw8PvfeVKlUKNjY2ulNvOUlJSUFKSorudXx8fKHsAxERUYkUFw2Ef6R93upjoExV09bzFGbfczR58mQoFIo8H8ePH4eIYNiwYShTpgz27duHo0ePonv37ujSpQtiYmJ028tpUkYRyXOyxtDQUDg7O+sePj4+hbKvREREJY6I9qayKfGAdwMgaKSpK3oqsx9zdO/ePdy7dy/PNn5+fjhw4ADat2+PBw8e6J1HrFSpEt5880189NFHmDhxIn7//XecOXNGt/7BgwdwdXXFrl270KpVqxy3n1PPkY+PD8ccERERPc3xxdo5jazsgKH7AfdKJivF0DFHZn9azd3dHe7u7k9tl3nvJgsL/c4wCwsLaDQaAEBgYCCmT5+OmJgYeHl5AQC2bdsGW1tb3biknNja2sLW1vwuNSQiIjJrD64DW/+9LUibiSYNRsYw+9NqhgoMDESpUqUwaNAgnDlzBpGRkRg3bhyuXbuGzp07AwDat2+PgIAADBgwAKdOncLOnTvxwQcf4K233mIPEBERUUHSaID1w4G0JKB8ENDoXVNXZLASE47c3d0RHh6OxMREtG7dGvXr18f+/fvx+++/o1atWgC0N4bdvHkz7Ozs0KRJE/Tp0wc9evTAl19+aeLqiYiISpijPwA39gPW9kCP+YBF8YkcZj/myBxxniMiIqI83L8CfN8ESE8GXvoSaPiWqSsC8BzOc0RERERmQJMBrH9XG4wqtADqv2nqiozGcEREREQF59B84OYRwMYR6F68TqdlKn4VExERkXm6exHY9Zn2ecfPAZfiOS8gwxERERE9u4x07em0jBSgYjugzgBTV5RvDEdERET07A7MBW6fBOycgW7zgDzuPGHuGI6IiIjo2ajPAntmap93+gJwKpt3ezPHcERERET5l54K/PYuoEkDXuwM1Oxr6oqeGcMRERER5d+fs4A7ZwGlK9D1q2J9Oi0TwxERERHlz+1TwL7Z2uedZwMOZUxbTwFhOCIiIiLjpadoT6dJBlCtJ1D9ZVNXVGAYjoiIiMh4uz8H/rkAqEoDL802dTUFiuGIiIiIjHPzGHBwnvZ5168BlZtp6ylgDEdERERkuNRHwPqhgGiAmv2AKp1NXVGBYzgiIiIiw+2aBtz/G3D0AjrNMHU1hYLhiIiIiAxz/QBw+Hvt827fAMpSpq2nkDAcERER0dOlJGrvnQbR3jetUjtTV1RoGI6IiIjo6bZPBB7eAJx9gA6fm7qaQsVwRERERHm7shs4vkj7vPu3gJ2TaespZAaHI0tLS9y9e7cwayEiIiJz8zge2PCe9nmDIYB/S5OWUxQMDkciUph1EBERkTna+jEQdxMo5Qe0nWLqaooET6sRERFRziK3AaeWA1AAPb4HbB1MXVGRsDKm8datW+Hs7Jxnm27duj1TQURERGQGkh8AG0dqnzd+F/ANMm09RciocDRo0KA81ysUCmRkZDxTQURERGQGtowHEmIAt4pAm4mmrqZIGXVaTa1WQ6PR5PpgMCIiIioBLmwC/loFKCyAHgsAa6WpKypSBocjhUJRmHUQERGROUi6D2x6X/s8aCTg08Ck5ZgCr1YjIiKi/2weAyT9A5SuCrT62NTVmITB4WjQoEFQKnPvVjt58iS6dOlSIEURERGRCZxbC0SsBxSWQM/vAStbU1dkEgaHo7CwMBw+fBjjxo3Dxx9/jKtXrwIALl68iB49eqBBgwZIT08vtEKJiIioECXcATaP1T5v/gFQto5p6zEhg8PR0qVL0aFDB4SFhWHGjBlo3LgxfvrpJzRs2BClSpXCmTNnEB4eXpi1EhERUWEQATaN1l6+71kDaPaBqSsyKYPD0dy5c/H555/j3r17WLlyJe7du4e5c+fi1KlTCAsLQ/Xq1QuzTiIiIiosf60CLm0GLKy1V6dZ2Zi6IpMyOBxduXIFffv2BQD06tULlpaWmDNnDl544YVCK46IiKiwJKQmQJ2kznGdOkmNhNSEIq7IROJvA398qH3ecjzgyc4Og8NRUlISVCqV9k0WFrCzs4OPj0+hFZYfkZGR6N69O9zd3eHk5IQmTZpg9+7dem0UCkW2x4IFC0xUMRERmUJCagKG7hiKweGDswUkdZIag8MHY+iOoSU/IIlobyqbEgeUrQs0GW3qisxCvm8fotFosHPnTpw7d06vjSlvH9K5c2dUrlwZu3btglKpxFdffYUuXbrgypUr8PT01LULCwtDx44dda+fdksUIiIqWZLSkhCbHIvoxGgMDh+MsI5h8FR56oJRdGK0rp2jjaOJqy1EJ5cBf+8ALG2BngsAS6NiQYmlEAMnMLKweHonkylvH3Lv3j2ULl0af/75J5o1awYASEhIgJOTE3bs2IE2bdroavztt9/Qo0ePfH9WfHw8nJ2dERcXBycnp4Ion4iIiljWIOTt4I3QZqEI2Reie50ZmEqsh1HAd0FAagLQbhrQZKSpKyp0hn5/G3xaLa/bhpjD7UPc3NxQtWpVLFu2DElJSUhPT8f//vc/eHh4oF69enptR4wYAXd3dzRo0AALFiyARqPJc9spKSmIj4/XexARUfHmqfJEWMcweDt4IzoxGgO2DHh+gpFGA/w+XBuMfBoDgcNNXZFZKTH9ZwqFAtu3b0f37t3h6OgICwsLeHh4IDw8HC4uLrp206ZNQ5s2baBUKrFz506MHTsW9+7dwyeffJLrtkNDQzFlypQi2AsiIipKnipPhDYLxYAtA3TLQpuFluxgBADHFwHX/gSslECP7wALS1NXZFYMPq1mKpMnT35qMDl27Bjq1auHHj16IC0tDRMmTIBSqcSPP/6IDRs24NixY/Dy8srxvbNnz8bUqVMRFxeX6/ZTUlKQkpKiex0fHw8fHx+eViMiKuaeHGMEoOT3HMVeBb5vAqQ9Ajp9ATR6x9QVFRlDT6uZfTi6d+8e7t27l2cbPz8/HDhwAO3bt8eDBw/0drhSpUp488038dFHH+X43gMHDqBp06ZQq9Xw8PAwqCaOOSIiKv6eyzFHGg2wpDMQdRDwawYM3AAYMKa4pDD0+9vsT6u5u7vD3d39qe0ePXoEIPvAcQsLizzHFJ06dQp2dnZ6p96IiKhkezIYZQahsI5huuVZr2IrMY58rw1GNg5A92+fq2BkDIPDUWRkJCpXrlyYtTyTwMBAlCpVCoMGDcLEiROhVCqxcOFCXLt2DZ07dwYAbNy4EWq1GoGBgVAqldi9ezcmTJiAt99+G7a2z+fN9YiInkcqaxVcla4AoBeAsgYkV6UrVNYqU5ZZsO5dBnZO1T5vPw0o5WfScsyZwafVVCoVypcvj27duqF79+4ICgoq7NqMdvz4cUyYMAHHjx9HWloaqlWrhokTJ6JTp04AgPDwcISEhODvv/+GRqOBv78/hgwZguHDh8PKyvBONJ5WIyIq/hJSE5CUlpRjz5A6SQ2VtarkzHGUkQ4s7gDcOg680Bp4fR2gUJi6qiJX4GOOHj9+jO3bt+P333/Hpk2bICLo0qULunfvjvbt28POzq7Aijd3DEdERFSs7JsD7JwC2DoBww4Bzt6mrsgkCnVAtojg0KFD2LBhAzZs2IAbN26gbdu26N69O7p06YIyZco8U/HmjuGIiIiKjTsRwA8tgIxUoPt3QJ3XTF2RyRT4JJBZKRQKBAUFYcaMGYiIiMDp06fRvHlzLFmyBD4+Ppg/f36+CyciIqICkpEG/PaONhhV7gjU7m/qioqFAr+U//79+4iNjUWlSpUKcrNmhT1HRERULOyZAewJBexcgOFHAMcSdOVdPpjsUn43Nze4ubkV9GaJiIjIGLdPA3/O0j7vPPu5D0bG4AQHREREJU16CrB+GKBJB6p2A6q/YuqKihWGIyIiopJm70zg7nnA3g3oPOe5vGz/WTAcERERlSTRJ4D9c7XPu8wFHEqbtp5iyOhwFBwcjD///LMwaiEiIqJnkZYMrB8KiAao3gsI6G7qioolo8NRQkIC2rdvj0qVKuHzzz/HrVu3CqMuIiIiMtauz4B7kYCDB/DSLFNXU2wZHY7Wrl2LW7duYcSIEVi9ejX8/PzQqVMnrFmzBmlpaYVRIxERET3NjUPAoX/nGew6D7B3NW09xVi+xhy5ublh1KhROHXqFI4ePYqKFStiwIABKFu2LEaPHo3Lly8XdJ1ERESUm8dxwO/DAAhQ+zXgxY6mrqhYe6YB2TExMdi2bRu2bdsGS0tLvPTSSzh//jwCAgIwd+7cgqqRiIiIcpORBvw6EIi9CjiVAzp8buqKij2jw1FaWhrWrl2LLl26wNfXF6tXr8bo0aMRExODpUuXYtu2bVi+fDmmTp1aGPUSERFRJhFg02jg6h7AWgW8+gugdDF1VcWe0TNke3l5QaPR4NVXX8XRo0dRu3btbG06dOgAFxeXAiiPiIiIcrV/DnBqOaCwAHqHAV61TF1RiWB0OJo7dy569+4NOzu7XNuUKlUK165de6bCiIiIKA9n1wA7/z1L0+kLoHIH09ZTghgdjgYMGKB7fvPmTSgUCnh7exdoUURERJSHG4eA9e9qnweOABq+Zdp6Shijxxylp6fj008/hbOzM/z8/ODr6wtnZ2d88sknvJSfiIiosN2/Aqx8FchIBap0AdpNM3VFJY7RPUcjRozAb7/9hi+++AKBgYEAgEOHDmHy5Mm4d+8eFixYUOBFEhEREYCk+8CKXkDyA6BcPeDlhYAF7wRW0BQiIsa8wdnZGStXrkSnTp30lm/ZsgX9+vVDXFxcgRZojuLj4+Hs7Iy4uDg4OTmZuhwiInoepD0GlnUHbh4GXMoDQ3YCDmVMXVWxYuj3t9Fx087ODn5+ftmW+/n5wcbGxtjNERER0dNoNNpJHm8eBmydgf6rGYwKkdHhaPjw4Zg2bRpSUlJ0y1JSUjB9+nSMGDGiQIsjIiIiALumAefWAhZWQN/lQJkqpq6oRDN6zNGpU6ewc+dOeHt7o1Yt7XwKZ86cQWpqKtq0aYOXX35Z13bdunUFVykREdHz6MRS7XxGANDtG8C/hWnreQ4YHY5cXFzwyiuv6C3z8fEpsIKIiIjoX1d2aWfABoAW44Ha/U1bz3PC6HAUFhZWGHUQERFRVncigF8HAZIB1OwLtAwxdUXPDV7/R0REZG7iY4AVvYGUeMC3ifZ0mkJh6qqeGwb1HNWpUwcKA38oJ0+efKaCiIiInmspicAvfYH4aMCtEtD3J8DK1tRVPVcMCkc9evQo5DKIiIgImgxg7RAg5gxg7w68thqwdzV1Vc8dg8LRpEmTCrsOIiIiCg8BIrcAVnbAqysB1wqmrui5xDFHRERE5uDw98DR/2mf9/wf4NPAtPU8x4y+Wi0jIwNz587Fr7/+iqioKKSmpuqtj42NLbDiiIiIngsXN2t7jQCg3VSgWg+TlvO8M7rnaMqUKZgzZw769OmDuLg4jBkzBi+//DIsLCwwefLkQijRcCdPnkS7du3g4uICNzc3vP3220hMTNRrExUVha5du0KlUsHd3R0jR47MFvCIiIiKzK0TwJo3AQhQbzAQNNLUFT33jA5HK1aswMKFC/HBBx/AysoKr776Kn788UdMnDgRhw8fLowaDXL79m20bdsWFStWxJEjRxAeHo7z588jODhY1yYjIwOdO3dGUlIS9u/fj5UrV2Lt2rUYO3asyeomIqLn2IMbwM/9gPRkoGJb4KUvecm+GTD6tJparUaNGjUAAA4ODoiLiwMAdOnSBZ9++mnBVmeETZs2wdraGvPnz4eFhTbzzZ8/H3Xq1MHff/+NihUrYtu2bYiIiMDNmzdRtmxZAMDs2bMRHByM6dOn53mHXiIiogKV/BD4uQ+QdBfwqAH0XgJYGv21TIXA6J4jb29vxMTEAIAucADAsWPHYGtrunkYUlJSYGNjowtGAKBUKgEA+/fvBwAcOnQI1atX1wUjAOjQoQNSUlJw4sSJPLcdHx+v9yAiIsq39FTg14HAPxcBRy+g/yrA1tHUVdG/jA5HPXv2xM6dOwEAo0aNwqeffopKlSph4MCBeOONNwq8QEO1bt0aarUas2bNQmpqKh48eICPP/4YAHRhTq1Ww8PDQ+99pUqVgo2NDdRqda7bDg0NhbOzs+7Be8kREVG+iWjvl3ZtL2DjAPT/FXAuZ+qqKAujw9GMGTN0oaNXr17Yt28f3n33XaxevRozZswo8AInT54MhUKR5+P48eOoVq0ali5ditmzZ8Pe3h6enp7w9/eHh4cHLC0tddvLaaZvEclzBvCQkBDExcXpHjdv3izw/SQioufEvi+B0z8BCgugVxjgVdPUFdETnvnkZuPGjdG4ceOCqCVHI0aMQL9+/fJs4+fnBwDo378/+vfvjzt37kClUkGhUGDOnDmoUEE7iZanpyeOHDmi994HDx4gLS0tW49SVra2tiY9ZUhERCXEX6uBXZ9pn780C6jc3rT1UI7yFY4iIyOxZ88e3L17FxqNRm/dxIkTC6SwTO7u7nB3dzfqPZlBZ/HixbCzs0O7du0AAIGBgZg+fTpiYmLg5eUFANi2bRtsbW1Rr169Aq2biIhIz42DwO/DtM+D3gMaDDFtPZQro8PRwoUL8e6778Ld3R2enp56p6MUCkWBhyNjfPvttwgKCoKDgwO2b9+OcePGYcaMGXBxcQEAtG/fHgEBARgwYABmzZqF2NhYfPDBB3jrrbd4pRoRERWee38DK/sDGalA1W5A26mmrojyoBARMeYNvr6+GDZsGMaPH19YNeXbwIEDsXnzZiQmJqJKlSr44IMPMGDAAL02UVFRGDZsGHbt2gWlUon+/fvjyy+/NOq0WXx8PJydnREXF8dQRUREeUu6B/zYFnhwDShXHwjeBFgrTV3Vc8nQ72+jw5GTkxNOnz4Nf3//Zy6yuGI4IiIig6QlA0u7AdFHARdfYMhOwKG0qat6bhn6/W301Wq9e/fWzW1EREREudBogN+GaoORnTPw2moGo2LCoDFH8+bN0z2vWLEiPv30Uxw+fBg1atSAtbW1XtuRI3lPGCIiIuycAkSsByysgb4rgNIvmroiMpBBp9UyL4V/6sYUCly9evWZizJ3PK1GRER5OrEE2DhK+7zn/4BaeU9JQ0XD0O9vg3qOrl27VmCFERERlWh/7wA2jdE+bxnCYFQMGT3maOrUqXj06FG25cnJyZg6lZcmEhHRc0x9Dvg1GJAMoNarQAvzu7Kbns7oq9UsLS0RExODMmXK6C2/f/8+ypQpg4yMjAIt0BzxtBoREWUTHwP82AaIvwX4NQNeXwdY2Zi6Ksqi0K5Wy+0+ZGfOnIGrq6uxmyMiIir+UhKBn/tog5F7ZaDvcgajYszgGbJLlSqlu9Fr5cqV9QJSRkYGEhMTMXTo0EIpkoiIyGxlpANr3gDUfwH27kD/XwFlKVNXRc/A4HD01VdfQUTwxhtvYMqUKXB2dtats7GxgZ+fHwIDAwulSCIiIrMkAoR/BFzeCljZAf1XAa6GXeFN5svgcDRo0CAA2sv6g4KCss1vRERE9Nw5/B1wbCEABfDyQsC7vqkrogJg9I1nW7RoAY1Gg8jISNy9excajUZvffPmzQusOCIiIrN1YSOwdYL2eftpQEA309ZDBcbocHT48GH0798fN27cwJMXuikUiufiajUiInrORZ8A1r4FQID6bwKBI0xdERUgo8PR0KFDUb9+fWzevBleXl45XrlGRERUYj24DvzSF0hPBiq1Bzp9AfC7sEQxOhxdvnwZa9asQcWKFQujHiIiIvOV/ABY0QdI+gfwrAH0WgxYGv1VSmbO6HmOGjVqhL///rswaiEiIjJf6anAqgHAvUuAY1ntJfu2jqauigqB0XH3vffew9ixY6FWq1GjRo1sV63VrFmzwIojIiIyCyLaG8le3wfYOACv/Qo4lTV1VVRIjL59iIVF9s4mhUKhmzn7eRiQzduHEBE9Z/bMBPZ8DigstT1GldqauiLKB0O/v43uObp27dozFUZERFSsnFmlDUYA0PlLBqPngNHhyNfXtzDqICIiMj/X9wO/D9c+DxoJ1H/DtPVQkTB4QPawYcOQmJioe718+XK91w8fPsRLL71UsNURERGZyr3LwMrXAE0aENAdaDvF1BVRETE4HP3vf//Do0ePdK+HDx+Ou3fv6l6npKRg69atBVsdERGRKST+A6zoBTx+CHg3BHr+D8hhzC2VTAb/pJ8ct23kOG4iIqLiIS0ZWPmqdrLHUn7Aq78A1kpTV0VFiDGYiIgok0YDrHsbiD4G2LkAr60BVO6mroqKGMMRERFRph2TgAsbAAtroN8KwL2SqSsiEzDqarWJEyfC3t4eAJCamorp06fD2dkZAPTGIxERERU7xxcDB+dpn/f4DvBratp6yGQMDkfNmzfHpUuXdK+DgoJw9erVbG2IiIiKncs7gM0faJ+3mgDU7GPaesikDA5He/bsKcQyiIiITER9Flg9CJAMoPZrQPNxpq6ITIxjjoiI6Pl1/wqwog+QmghUaA50+QpQKExdFZmY0TNkExERlQg3jwI/9wWSYwH3F4E+ywErG1NXRWaA4YiIiJ4/FzYBa98E0h8DZetobyardDF1VWQmStRptZMnT6Jdu3ZwcXGBm5sb3n77bb1bnACAQqHI9liwYIGJKiYioiJ35Adg1evaYFS5IxC8GXAoY+qqyIyUmHB0+/ZttG3bFhUrVsSRI0cQHh6O8+fPIzg4OFvbsLAwxMTE6B6DBg0q+oKJiKhoaTTAtk+ALeMACFBvMNB3BWCjMnVlZGYMOq32119/GbzBmjVr5ruYZ7Fp0yZYW1tj/vz5sPj3/jfz589HnTp18Pfff6NixYq6ti4uLvD09DRJnUREZALpKcBvQ4Hz67Sv20wEmo7h4GvKkUHhqHbt2lAoFBARKJ7yi5SRkVEghRkrJSUFNjY2umAEAEql9l44+/fv1wtHI0aMwJAhQ1ChQgW8+eabePvtt/XeR0REJUjyA2Dla8CNA9qZr7vPB2r1NXVVZMYMSgTXrl3D1atXce3aNaxduxYVKlTAd999h1OnTuHUqVP47rvv8MILL2Dt2rWFXW+uWrduDbVajVmzZiE1NRUPHjzAxx9/DACIiYnRtZs2bRpWr16NHTt2oF+/fhg7diw+//zzPLedkpKC+Ph4vQcRERUDD6OARR20wcjWCXh9DYMRPZ0YqUGDBrJ58+Zsyzdv3ix169Y1dnNPNWnSJAGQ5+PYsWMiIrJixQrx8PAQS0tLsbGxkQ8++EA8PDxk5syZuW7/yy+/FCcnp3zVEBcXV6D7SkREBej2aZFZlUQmOYl8WUVEfc7UFZGJxcXFGfT9rRARMSZMKZVKnDx5ElWrVtVbfuHCBdStWxfJycnPGNf03bt3D/fu3cuzjZ+fH+zs7HSv79y5A5VKBYVCAScnJ6xcuRK9e/fO8b0HDhxA06ZNoVar4eHhkWOblJQUpKSk6F7Hx8fDx8cHcXFxcHJyysdeERFRofp7B/DrIO3kjmWqAa+tBpzLmboqMrH4+Hg4Ozs/9fvb6HmOqlatis8++wyLFi3SBZKUlBR89tln2QJTQXB3d4e7u7tR78kMOYsXL4adnR3atWuXa9tTp07Bzs4OLi4uubaxtbWFra2tUTUQEZGJnPoJ2DBSezuQCs2Bvj8Bds6mroqKEaPD0YIFC9C1a1f4+PigVq1aAIAzZ85AoVBg06ZNBV6gMb799lsEBQXBwcEB27dvx7hx4zBjxgxd8Nm4cSPUajUCAwOhVCqxe/duTJgwAW+//TbDDxFRcScC7JkB7J2hfV2zL9DtW856TUYz+rQaADx69Ag//fQTLl68CBFBQEAA+vfvD5XKtHNFDBw4EJs3b0ZiYiKqVKmCDz74AAMGDNCtDw8PR0hICP7++29oNBr4+/tjyJAhGD58OKysDM+JhnbLERFREclIAza+D5z+Sfu62Vig9ae8VJ/0GPr9bVQ4SktLw4svvohNmzYhICCgQAotjhiOiIjMSEqCdnzRlZ2AwgLoPBuo/4apqyIzVChjjqytrZGSkvLUuY6IiIiKRIIaWNEbUP8FWNsDvcKAFzuauioq5oye+fC9997DzJkzkZ6eXhj1EBERGeafS8CPbbXBSFUaCN7EYEQFwugB2UeOHMHOnTuxbds21KhRI9s4o3Xr1hVYcURERDm6fgBY+SrwOA5wfQF4fS3gWsHUVVEJYXQ4cnFxwSuvvFIYtRARET3dubXa+6RlpALeDYFXVwIqN1NXRSWI0eEoLCysMOogIqJiIiE1AUlpSfBUZb+BtzpJDZW1Co42jgX/wSLAoW+BbZ9oX1ftCry8ELBWFvxn0XONd1slIiKDJaQmYOiOoRgcPhjqJLXeOnWSGoPDB2PojqFISE0o2A/WZABbxv8XjBoNBXovZTCiQmF0zxEArFmzBr/++iuioqKQmpqqt+7kyZMFUhgREZmfpLQkxCbHIjoxGoPDByOsYxg8VZ66YBSdGK1rV2C9R2nJwNohwMV/JxpuPx0IHM45jKjQGN1zNG/ePAwePBhlypTBqVOn0LBhQ7i5ueHq1avo1KlTYdRIRERmwlPlibCOYfB28NYFpNN3T+uCkbeDty4wFYik+8DSbtpgZGmjvVQ/aASDERUqo2fIrlKlCiZNmoRXX30Vjo6OOHPmDPz9/TFx4kTExsbi22+/LaxazQYngSSi592TPUUACj4YxV4FfuoFxF4B7FyAV38BfIMKZtv0XDL0+9vonqOoqCgEBWl/OZVKJRIStOeVBwwYgF9++SWf5RIRUXHiqfJEaLNQvWWhzUILLhhFnwB+bKcNRs7lgTe3MRhRkTE6HHl6euL+/fsAAF9fXxw+fBgAcO3aNeTjNm1ERFQMqZPUCNkXorcsZF9ItkHa+XJpC7CkM/DoHuBVCxiyHSj94rNvl8hARoej1q1bY+PGjQCAN998E6NHj0a7du3Qt29f9OzZs8ALJCIi85L1lJq3gzeWd1quNwbpmQLSsUXAyv5AejJQsS0QvBlwLKDeKCIDGT3mSKPRQKPR6O5i/+uvv2L//v2oWLEihg4dChsbm0Ip1JxwzBERPa+eDEY5Xa2Wr7FHGg2wayqwf672dZ0BQJe5gKV14ewIPZcK5cazAGBhYQELi/86nPr06YM+ffrkr0oiIipWVNYquCpdAUAvAGVexTY4fDBcla5QWavy2oy+9FTg9+HA2V+1r1t+DLT4kFekkckY1HP0119/GbzBmjVrPlNBxQF7jojoeVagM2QnPwRWvQ5c3wdYWAFd5wF1XivYgon+VaA9R7Vr14ZCoYCIQPGUJJ+RkWFcpUREVKw42jjmGn6MOpUWFw2s6A3cjQBsHIA+y4CKbQqoSqL8M2hA9rVr13D16lVcu3YNa9euRYUKFfDdd9/h1KlTOHXqFL777ju88MILWLt2bWHXS0REJYH6nPZS/bsRgIMnMHgLgxGZDYN6jnx9fXXPe/fujXnz5uGll17SLatZsyZ8fHzw6aefokePHgVeJBERlSBX9wArXwdSE4DSVYDX1gAuPqauikjH6AHZZ8+eRYUKFbItr1ChAiIiIgqkKCIiKqHOrNQOvtakA75NgX4/AcpSpq6KSI/R8xxVrVoVn332GR4/fqxblpKSgs8++wxVq1Yt0OKIiKiEEAH+nAX89o42GFV/BRiwjsGIzJLRPUcLFixA165d4ePjg1q1agEAzpw5A4VCgU2bNhV4gUREVMxlpAN/jAVOLNG+bjIKaDMZsDD63+dERcLoSSAB4NGjR/jpp59w8eJFiAgCAgLQv39/qFRGzGtRjPFSfiIiA6UkAmveAC5vBaAAXpoFNHzL1FXRc6rQJoEEAHt7e7z99tv5Lo6IiJ4DiXe1l+rHnAas7IBXFgFVu5i6KqKnylc4ioyMxJ49e3D37l1oNBq9dRMnTiyQwoiIqBi7dxn46RXg4Q3A3g14dRXg08DUVREZxOhwtHDhQrz77rtwd3eHp6en3qSQCoWC4YiI6HkXdRj4pR+Q/AAoVQF4fS3g9oKpqyIymNHh6LPPPsP06dMxfvz4wqiHiIiKs4jfgbVvARkpQLl62h4jh9KmrorIKEaHowcPHqB3796FUQsRERVnh78HwkMACFC5E9BrMWBjb+qqiIxm9HWUvXv3xrZt2wqjFiIiKo40GiD8YyD8IwAC1H8T6LeCwYiKLaN7jipWrIhPP/0Uhw8fRo0aNWBtba23fuTIkQVWHBERmbm0x9qJHSPWa1+3nQw0eR94yk3KicyZ0fMc5XTrEN3GFApcvXr1mYsyd5zniIgIwKNYYGV/IOoQYGEN9PgeqMlhF2S+Cm2eo2vXrj1TYUREVAKozwFrBgP3IgFbZ+090io0N3VVRAWi2MzdPn36dAQFBcHe3h4uLi45tomKikLXrl2hUqng7u6OkSNHIjU1Va/N2bNn0aJFCyiVSpQrVw5Tp05FPiYJJyJ6PqWnALs/B35ooQ1GTt7AG+EMRlSi5GsSyOjoaGzYsAFRUVHZwsecOXMKpLAnpaamonfv3ggMDMSiRYuyrc/IyEDnzp1RunRp7N+/H/fv38egQYMgIvjmm28AaLvT2rVrh1atWuHYsWOIjIxEcHAwVCoVxo4dWyh1ExGVGNHHgd9HAP9c0L5+sTPQZS7g6GHauogKmNHhaOfOnejWrRsqVKiAS5cuoXr16rh+/TpEBHXr1i2MGgEAU6ZMAQAsWbIkx/Xbtm1DREQEbt68ibJlywIAZs+ejeDgYEyfPh1OTk5YsWIFHj9+jCVLlsDW1hbVq1dHZGQk5syZgzFjxuhNaElERP9KfQTs+gw4/B0AAVSltfdIC+jBgddUIhl9Wi0kJARjx47FuXPnYGdnh7Vr1+LmzZto0aKFSec/OnToEKpXr64LRgDQoUMHpKSk4MSJE7o2LVq0gK2trV6b27dv4/r167luOyUlBfHx8XoPIqLnwrU/ge8DgcPzAQhQsy8w/ChQrSeDEZVYRoejCxcuYNCgQQAAKysrJCcnw8HBAVOnTsXMmTMLvEBDqdVqeHjod+2WKlUKNjY2UKvVubbJfJ3ZJiehoaFwdnbWPXx8fAq4eiIiM/M4Dtg4CljaFXhwHXAqB/RfDbz8A2DvaurqiAqV0eFIpVIhJSUFAFC2bFlcuXJFt+7evXtGbWvy5MlQKBR5Po4fP27w9nI6LSYi2e7/9uT63N6bKSQkBHFxcbrHzZs3Da6JiKjYuRQOzG8MnFiifV3/DWDYYaBye5OWRVRUjB5z1LhxYxw4cAABAQHo3Lkzxo4di7Nnz2LdunVo3LixUdsaMWIE+vXrl2cbPz8/g7bl6emJI0eO6C178OAB0tLSdL1Dnp6e2XqI7t69CwDZepSysrW11TsVR0RUIiXdA7aMB86t0b529Qe6fQP4NTVtXURFzOhwNGfOHCQmJgLQ9vwkJiZi1apVqFixIubOnWvUttzd3eHu7m5sCTkKDAzE9OnTERMTAy8vLwDaQdq2traoV6+ers3HH3+M1NRU2NjY6NqULVvW4BBGRFTiiADn1gJbPgQe3QcUFkDgcKDlx7wFCD2XjJ4h21SioqIQGxuLDRs2YNasWdi3bx8A7e1MHBwckJGRgdq1a8PDwwOzZs1CbGwsgoOD0aNHD92l/HFxcXjxxRfRunVrfPzxx7h8+TKCg4MxceJEoy7l5wzZRFRixN8GNo8FLv2hfV0mAOj+LVCunmnrIioEhn5/Gx2O/P39cezYMbi5uektf/jwIerWrVtotw8JDg7G0qVLsy3fvXs3WrZsCUAboIYNG4Zdu3ZBqVSif//++PLLL/VOiZ09exbDhw/H0aNHUapUKQwdOhQTJ0406jJ+hiMiKvZEgJNLgW2fAinx2tt/NP8AaDoGsLIxdXVEhaLQwpGFhQXUajXKlCmjt/zOnTsoX768brB2ScZwRETFWuw1YONI7WX6gLaXqNu3gEeAaesiKmQFfm+1DRs26J5v3boVzs7OutcZGRnYuXMnx+0QEZkzTQZw5H/ArmlA2iPASgm0ngA0HgZYWJq6OiKzYXA46tGjBwDtJe+Z8xxlsra2hp+fH2bPnl2gxRERUQG5exHYMAKIPqZ97dcM6Po14PaCaesiMkMGhyONRgMAqFChAo4dO1ZgV5kREVEhykgD9s8F/pwFZKQCNo5A+6lA3WDAotjce5yoSBl9Kf+1a9cKow4iIipot09pbxR755z2daUO2hvFOpczbV1EZs7gfzYcOXIEW7Zs0Vu2bNkyVKhQAWXKlMHbb7/9XAzGJiIye2nJwPZJwMI22mCkdAVe/hHov4rBiMgABoejyZMn46+//tK9Pnv2LN588020bdsWH330ETZu3IjQ0NBCKZKIiAx04yDwfRPgwFeAZADVXtbeKLZmb94olshABp9WO336NKZNm6Z7vXLlSjRq1AgLFy4EAPj4+GDSpEmYPHlygRdJRERPkZIA7JgMHPtR+9rBE+gyB6jS2aRlERVHBoejBw8e6N1/bO/evejYsaPudYMGDXhDViIiU7i8A9j0PhD37/+D6wwA2n8GKF1MWRVRsWXwaTUPDw/dYOzU1FScPHkSgYGBuvUJCQmwtrYu+AqJiChnj2KB34YCK17RBiMXX2Dg79rbfzAYEeWbwT1HHTt2xEcffYSZM2di/fr1sLe3R7NmzXTr//rrL7zwAufLICLKS0JqApLSkuCp8sy2Tp2khspaBUcbx6dv6Px64I8PgKR/ACiARkOBNp8CNqoCr5noeWNwOPrss8/w8ssvo0WLFnBwcMDSpUt1d7YHgMWLF6N9+/aFUiQRUUmQkJqAoTuGIjY5FmEdw/QCkjpJjcHhg+GqdMWCtgtyD0gJd4A/xgIXNmpfu1fW3vqjfKMi2AOi54PB4ah06dLYt28f4uLi4ODgAEtL/anmV69eDQcHhwIvkIiopEhKS0JsciyiE6MxOHywLiBlBqPoxGhdu2zhSAQ4/TOw9WPg8UPAwgpo8j7QfBxgbVfk+0JUkhl941nijWeJKP+yBiFvB2+ENgtFyL4Q3esne5QAAA+jgI3vA1d2al971dL2FnnVLPL6iYozQ7+/GY7ygeGIiJ7Fkz1FAHIORhqN9tL8HZOBtCTA0hZo+REQNBKwNPoGB0TPPUO/v3ljHSKiIuap8kRoM/1Jc0ObheoHo3uXgSUvAVvGaYORT2Pg3QNAszEMRkSFjOGIiKiIqZPUCNkXorcsZF8I1ElqICMd2DdHO8t11CHAWgV0mgUM3gK4VzJRxUTPF4YjIqIi9OSYo+WdlsPbwRvRidGY9lsfpP3QHNg5BchIAV5oDQw/DDR6G7Dg/66Jigr7ZomIisiTwShzjFFY2/9h90+d0OufM7AGoLF1gkXHGUDt/rwfGpEJMBwRERURlbUKrkpXAPhv8PXNo/D8fQRevacdnH20lCcCBvwBB1dOqktkKgxHRERFxNHGEQvaLtDOkG3tCGz5CDiyAIAAqtJ40OYTVK3+ChwMmSGbiAoNwxERURFytHGE483jwMaR2vmLAKDWq0CHz1HK3tW0xRERAIYjIqKiIQLcOADs/wr4e7t2mZM30PUroFI7U1ZGRE9gOCIiKkwaDRC5Bdg/F4g+pl2msADqvwG0nQzY8hQakblhOCIiKgzpqcDZ1cCBr4F7l7TLLG2BOq8BQe8Brv6mrY+IcsVwRERUkFISgZPLgEPfAvG3tMtsnYAGbwKN3gUcPUxbHxE9FcMREVFBSLoPHP0BOPo/IPmBdpmDB9B4GFB/MGDnbNr6iMhgDEdERM/i4U1tL9HJZUDaI+2yUhWAJqO0V6FZ25m2PiIyGsMREVF+3L2gHU90djWgSdcu86wJNB0NBHQHLCxNWx8R5RvDERGRMaKOaK88i9zy37IKzbWhyL8Vb/dBVAIwHBERPY0IcHmbdo6iqIP/LlQAVbsCTd8HytUzYXFEVNCKzW2ep0+fjqCgINjb28PFxSXHNlFRUejatStUKhXc3d0xcuRIpKam6tZfv34dCoUi2yM8PLyI9oKIipWMdOCvX4HvmwA/99EGIwtroM4AYMQxoO9yBiOiEqjY9Bylpqaid+/eCAwMxKJFi7Ktz8jIQOfOnVG6dGns378f9+/fx6BBgyAi+Oabb/Ta7tixA9WqVdO9dnXllP1ElEXqI+D0CuDgvP9u8WHjANQLBgKHA05lTVoeERWuYhOOpkyZAgBYsmRJjuu3bduGiIgI3Lx5E2XLav/HNXv2bAQHB2P69OlwcnLStXVzc4Onp2eh10xExUzyA+Doj9qbwT66p11m7w40Hgo0GAIoS5m2PiIqEsUmHD3NoUOHUL16dV0wAoAOHTogJSUFJ06cQKtWrXTLu3XrhsePH6NSpUoYPXo0evXqlee2U1JSkJKSonsdHx9f8DtARKYTfxs4NB84sQRITdQucykPBI0Ear8G2NibtDwiKlolJhyp1Wp4eOjPPFuqVCnY2NhArVYDABwcHDBnzhw0adIEFhYW2LBhA/r27YulS5fi9ddfz3XboaGhup4rIipB7l3WXo5/ZiWgSdMuK1NNe+VZtZ6AZYn5XyQRGcGkf/mTJ09+aug4duwY6tevb9D2FDlcQisiuuXu7u4YPXq0bl39+vXx4MEDfPHFF3mGo5CQEIwZM0b3Oj4+Hj4+PgbVRERm6NYJ7eX4FzYBEO2y8kHaUFSpHS/HJ3rOmTQcjRgxAv369cuzjZ+fn0Hb8vT0xJEjR/SWPXjwAGlpadl6lLJq3Lgxfvzxxzy3bWtrC1tbW4PqIDK1hNQEJKUlwVOVfVydOkkNlbUKjjbP4Z3gRYCru7Wh6Nqf/y1/8SWgyftA+UYmK42IzItJw5G7uzvc3d0LZFuBgYGYPn06YmJi4OXlBUA7SNvW1hb16uV+qe2pU6d07YmKu4TUBAzdMRSxybEI6ximF5DUSWoMDh8MV6UrFrRd8PwEJE0GEPG7NhSp/9Ius7ACavTW3uKjTFXT1kdEZqfYnFCPiopCbGwsoqKikJGRgdOnTwMAKlasCAcHB7Rv3x4BAQEYMGAAZs2ahdjYWHzwwQd46623dFeqLV26FNbW1qhTpw4sLCywceNGzJs3DzNnzjThnhEVnKS0JMQmxyI6MRqDwwfrAlJmMIpOjNa1K/HhKO0xcOZn4OA3QOxV7TJre6DuIO3l+C48NU5EOVOIiJi6CEMEBwdj6dKl2Zbv3r0bLVu2BKANUMOGDcOuXbugVCrRv39/fPnll7pTYkuXLsXMmTNx48YNWFpaonLlynj//ffzHG+Uk/j4eDg7OyMuLk5vigAic5A1CHk7eCO0WShC9oXoXj/Zo2SOnunU4OM44Phi4NB3QNJd7TJlKaDhO0DDtwGVWyFWTkTmzNDv72ITjswJwxGZuyd7igAUq2CUr1ODCXeAI98DxxYBKf9Ot+FUDgh6Tzujta1DEe8JEZkbQ7+/i83tQ4jIcJ4qT4Q2C9VbFtos1OyDEZD91KA6STsVR9bAF5sci6S0JO0b7l8BNr4PfFVDO64oJR5wfxHo8T0w8jTQ+F0GIyIyCnuO8oE9R2TuinPPEWDgqcH4O9obwUasB0SjfaN3A+3l+JU7ARb8tx8R6eNptULEcETmrCSMOQJyCXiqclhRbShcjy8Fruz6r3HFdtpQ5BvEOYqIKFcMR4WI4YjM1ZPBKKer1YpTQDp99zQGbBmAUhkZaJOUjA8sPaC6e0G7UmEBVH9Fezm+Zw3TFkpExYKh39/F5lJ+Ino6lbUKrkpXANALQJ4qT4R1DNMNZlZZq0xZpkHu3j2PP9cPxsLYO6j/OOXf/1nFQqxsoagzAAgcAbhWMHGVRFQSsecoH9hzROasWM+QnXgXuLARKWd/hVXUYVhmWfW3nQqblFY44lEJc7uuKBY9X0RkXthzRPSccrRxzDX8mGWgSLgDXNigncX6xgFANMi8WU+kUgWvBkPhWPt1ONjaY+u/pwazTnBJRFTQGI6IqOhlBqLz67WBCP91YGd41cKvVinYZm+P0G6/wDHz1CBQ7E4NElHxxNNq+cDTakT5kKAGIjZoL72/cRBZAxHK1gWq9QACugOl/Ir3qUEiMls8rUZEphcf818PUdQh6AWicvX/C0Qu5fXeVuxODRJRicJwREQFK/62dvzQ+fXAzSPQC0TeDYCAHv8GIt74lYjME8MRET27uFvaQBSx/t9AlIV3w/96iJy9TVEdEZFRGI6IKH/iov/rIYo+qr/Op9G/PUTdGIiIqNhhOCIiwz28+V8PUfSxLCsUQPnG/wUip7ImKpCI6NkxHBFR3h7c+C8Q3TqRZYUCKB+oPWVWtRvg5GWiAomIChbDERFl9+D6f6fMbp/MskKhvblrQA+galcGIiIqkRiOiEjrwXVtGIpYD9w+9d9yhQXg20Q7oLpqV8CRl9ITUcnGcET0PIu9pg1D59cDMaf/W54ZiDJPmTmUMU19REQmwHBE9Ly5f+W/QKT+67/lCgvAr+l/p8wYiIjoOcVwRPQ8uH8FOP+bNhSpz/63XGEJVGimDURVugAOpU1VIRGR2WA4IvpXibmflwjw4Jr2/mU3Dmpv7Prg+n/rFZZAhebaU2ZVugAqd1NVSkRklhiOiKANRkN3DEVscizCOobpBSR1klp3J/gFbReYX0DSaIB7l7QhKDMQJcTot1FYAv4t/ushUrmZpFQiouKA4YgIQFJaEmKTYxGdGI3B4YN1ASkzGEUnRuvamTwcZaQDd85m6Rk6CCTH6rexsAbK1dNedu/bBPBpCNjlfgdqIiL6j0JE5OnNKKv4+Hg4OzsjLi4OTk78wikpsgYhbwdvhDYLRci+EN3rJ3uUikx6ivbS+syeoagjQGqCfhsrpTYA+TbRBiLv+oC1suhrJSIyY4Z+fzMc5QPDUcn1ZE8RgKIPRqmPtLfmyAxD0ceA9Mf6bWydtbfryOwZ8qoFWNkUTX1ERMWUod/fPK1GlIWnyhOhzUIxYMsA3bLQZqGFG4wex2l7gzLD0O2TgCZdv429+39ByDcI8KgGWFgWXk1ERM8xhiOiLNRJaoTsC9FbFrIvpGB7jpLu6V9Jpj4L4IkOXKdy/wUh3yaAeyVAoSiYzyciojwxHBH9K68xR1kHaRst7tZ/QejGQe2VZU9yfUG/Z8ilPMMQEZGJcMxRPnDMUcnzZDDK6Wo1g8YeiQCxV/V7hh7eyN6uTMC/YSgIKB/EG7gSERUBjjkiMoLKWgVXpSsA6AUgT5UnwjqG6eY5Ulmr9N+o0QD/XNSfYyhRrd9GYaEdMJ3ZK1Q+ELB3LYrdIiKifCg2PUfTp0/H5s2bcfr0adjY2ODhw4fZ2owaNQr79+/HuXPnULVqVZw+fTpbm7Nnz2LEiBE4evQoXF1d8c477+DTTz+FwohTGOw5KpkMmiHbUqm9H1lmEIo6CCQ/0G9saZNljqEgwKcRYGtmE0cSET2HSlzPUWpqKnr37o3AwEAsWrQoxzYigjfeeANHjhzBX3/9lW19fHw82rVrh1atWuHYsWOIjIxEcHAwVCoVxo4dW9i7QGbO0cYx+wSP6SnArZPwzOwZunkESE3Ub2Ntrz/HULl6nGOIiKgYKzbhaMqUKQCAJUuW5Npm3rx5AIB//vknx3C0YsUKPH78GEuWLIGtrS2qV6+OyMhIzJkzB2PGjDGq94hKoIx07WDp26eBmNPa/6r/ynmOId9A/TmGLK1NUDARERWGYhOOCsKhQ4fQokUL2Nra6pZ16NABISEhuH79OipUqGDC6qhI5RiEzgLpydnbqkrrX0lWJoBzDBERlWDPVThSq9Xw8/PTW+bh4aFbl1s4SklJQUpKiu51fHx8odVIhSAjXTtoOjMExZwG1OdyDkI2DtqeIK/aQNnaQNk6gFtFXlZPRPQcMWk4mjx5su50WW6OHTuG+vXrF9hnPnnqLHM8el6n1EJDQ59aJ5mJHIPQ2eynxgDAxhHwqvlvEKqjDUOuLwAWFkVaMhERmReThqMRI0agX79+ebZ5sqfnWXh6ekKt1r/M+u7duwD+60HKSUhICMaMGaN7HR8fDx8fnwKri/IpI00bhLKeGrtzLo8gVEsbgDJ7hRiEiIgoByYNR+7u7nB3dy+yzwsMDMTHH3+M1NRU2Nhob9K5bds2lC1bNs8QZmtrqzdOiUwgv0GobB1tGHL1ZxAiIiKDFJsxR1FRUYiNjUVUVBQyMjJ0cxhVrFgRDg4OAIC///4biYmJUKvVSE5O1rUJCAiAjY0N+vfvjylTpiA4OBgff/wxLl++jM8//xwTJ07klWrmJCMNuHsh+xihjJTsbW2d/h0jVItBiIiICkSxmQQyODgYS5cuzbZ89+7daNmyJQCgZcuW2Lt3b7Y2165d0/UMnT17FsOHD8fRo0dRqlQpDB061OhwxEkgC1B+gpDu1FgdoFQFBiEiIjKIod/fxSYcmROGo3xKTwX+ufDEqbHzuQQhZ+1gaQYhIiIqICVuhmwqZrIGoduntGHoznkgIzV7W10QqvNfGGIQIiIiE2E4omeXefn87VP/Pe6cyz0Ilc0yj1DmGCGO+SIiIjPBcETG0WQA9//WD0Ixf+U8oaKds/5A6bK1tT1CDEJERGTGGI4odyJA7NUngtCZ7DdeBbSXz5et/e+jLoMQEREVWwxHpCUCxN3UBqBbJ/8bJ/Q4Lntba/v/eoQyH5xQkYiISgiGo+dVfAxw+6R+r9Cj+9nbWdoCnjX0g5B7ZcCSvzpERFQy8RvueZD4j34Iun0KSFRnb2dhBXhU0w9CpasCVjZFXzMREZGJMByVNI9i/51DKDMIndaeLnuSwkIbfDIvny9bVxuMrO2KuGAiIiLzwnBUnD2O1w6Q1gWhk8CD6zk0VADulbL0CNUFPKsDNqqirpiIiMjsMRwVF6lJgPqs/oDp+5dzbluqwn9BqFxdwLMmYMeZvImIiAzBcGQmRATJaRnaF+mPYXH3PCxun4KF+jQsYk5Dce8SFKLJ9j6Nkzc0XrWh8aqj/a9nLUBZKvsHpKYX8h4QEREVHKW1pcluCs9wZCaSEx9g/cw3UNPiGl5U3IS1IiNbm7vigjMaf/yl8cdZ8cdZTQXcf+wM3AVwBgBSABwt4sqJiIgKXsTUDrC3MU1MYTgysYTUBCSlJcHJuhS6Wx6ESqG9Cet9ccRfGn/8Jf44+28guosceoSIiIioQDEcmVBCagKG7hiK2ORYLO6wGG6dpiPF3g0arzqIt7TGjB3vopRSg69bjYSjjYOpy81VQmoiRu0eiQfJD7Cg3QJ4qDx06+4k3cHQ7UNRSlkKX7eaZ9b7QURE5kNpbWmyz2Y4MqGktCTEJsciOjEab2x9A2Edw+Cp8oQ6SY1h4YNxOzkaFpbpEMVj2Nu4mLrcXMWnPUZc6j+4nRyNYbuG6O/HriHFZj+IiIgAgPd7MCFPlSfCOobB28Eb0YnRGBw+GKfvnsbg8MGIToyGt4O3LmiYs5KyH0RERACgEBExdRHFTXx8PJydnREXFwcnp2e/RF6dpNYFiUzFMVCUlP0gIqKSydDvb/YcmQFPlSdCm4XqLQttFlrsAkVJ2Q8iInq+MRyZAXWSGiH7QvSWhewLgToph/ufmbGSsh9ERPR8YzgysaynorwdvLG803K9sTvFJViUlP0gIiJiODKhJwNFWMcw1C5TO9vgZnMPFiVlP4iIiACGI5NSWavgqnTNNmg569VfrkpXqKzN+waxJWU/iIiIAF6tli8FebVa5gzZOQ1aViepobJWwdHG8Zk+oyiUlP0gIqKSy9Dvb04CaWKONo65hobidJVXSdkPIiIinlYjIiIiyoLhiIiIiCgLhiMiIiKiLBiOiIiIiLJgOCIiIiLKguGIiIiIKAuGIyIiIqIsGI6IiIiIsmA4IiIiIsqCM2TnQ+YdV+Lj401cCRERERkq83v7aXdOYzjKh4SEBACAj4+PiSshIiIiYyUkJMDZ2TnX9bzxbD5oNBrcvn0bjo6OUCgUBbbd+Ph4+Pj44ObNm898Q1vKHY9z0eBxLjo81kWDx7loFOZxFhEkJCSgbNmysLDIfWQRe47ywcLCAt7e3oW2fScnJ/7hFQEe56LB41x0eKyLBo9z0Sis45xXj1EmDsgmIiIiyoLhiIiIiCgLhiMzYmtri0mTJsHW1tbUpZRoPM5Fg8e56PBYFw0e56JhDseZA7KJiIiIsmDPEREREVEWDEdEREREWTAcEREREWXBcERERESUBcNREfvuu+9QoUIF2NnZoV69eti3b1+e7ffu3Yt69erBzs4O/v7+WLBgQRFVWrwZc5zXrVuHdu3aoXTp0nByckJgYCC2bt1ahNUWX8b+Pmc6cOAArKysULt27cItsIQw9jinpKRgwoQJ8PX1ha2tLV544QUsXry4iKot3ow91itWrECtWrVgb28PLy8vDB48GPfv3y+iaoufP//8E127dkXZsmWhUCiwfv36p77HJN+DQkVm5cqVYm1tLQsXLpSIiAgZNWqUqFQquXHjRo7tr169Kvb29jJq1CiJiIiQhQsXirW1taxZs6aIKy9ejD3Oo0aNkpkzZ8rRo0clMjJSQkJCxNraWk6ePFnElRcvxh7nTA8fPhR/f39p37691KpVq2iKLcbyc5y7desmjRo1ku3bt8u1a9fkyJEjcuDAgSKsungy9ljv27dPLCws5Ouvv5arV6/Kvn37pFq1atKjR48irrz4+OOPP2TChAmydu1aASC//fZbnu1N9T3IcFSEGjZsKEOHDtVbVqVKFfnoo49ybP/hhx9KlSpV9Ja988470rhx40KrsSQw9jjnJCAgQKZMmVLQpZUo+T3Offv2lU8++UQmTZrEcGQAY4/zli1bxNnZWe7fv18U5ZUoxh7rWbNmib+/v96yefPmibe3d6HVWJIYEo5M9T3I02pFJDU1FSdOnED79u31lrdv3x4HDx7M8T2HDh3K1r5Dhw44fvw40tLSCq3W4iw/x/lJGo0GCQkJcHV1LYwSS4T8HuewsDBcuXIFkyZNKuwSS4T8HOcNGzagfv36+OKLL1CuXDlUrlwZH3zwAZKTk4ui5GIrP8c6KCgI0dHR+OOPPyAiuHPnDtasWYPOnTsXRcnPBVN9D/LGs0Xk3r17yMjIgIeHh95yDw8PqNXqHN+jVqtzbJ+eno579+7By8ur0OotrvJznJ80e/ZsJCUloU+fPoVRYomQn+N8+fJlfPTRR9i3bx+srPi/HkPk5zhfvXoV+/fvh52dHX777Tfcu3cPw4YNQ2xsLMcd5SE/xzooKAgrVqxA37598fjxY6Snp6Nbt2745ptviqLk54KpvgfZc1TEFAqF3msRybbsae1zWk76jD3OmX755RdMnjwZq1atQpkyZQqrvBLD0OOckZGB/v37Y8qUKahcuXJRlVdiGPP7rNFooFAosGLFCjRs2BAvvfQS5syZgyVLlrD3yADGHOuIiAiMHDkSEydOxIkTJxAeHo5r165h6NChRVHqc8MU34P851sRcXd3h6WlZbZ/gdy9ezdbKs7k6emZY3srKyu4ubkVWq3FWX6Oc6ZVq1bhzTffxOrVq9G2bdvCLLPYM/Y4JyQk4Pjx4zh16hRGjBgBQPslLiKwsrLCtm3b0Lp16yKpvTjJz++zl5cXypUrB2dnZ92yqlWrQkQQHR2NSpUqFWrNxVV+jnVoaCiaNGmCcePGAQBq1qwJlUqFZs2a4bPPPmPvfgEw1fcge46KiI2NDerVq4ft27frLd++fTuCgoJyfE9gYGC29tu2bUP9+vVhbW1daLUWZ/k5zoC2xyg4OBg///wzxwsYwNjj7OTkhLNnz+L06dO6x9ChQ/Hiiy/i9OnTaNSoUVGVXqzk5/e5SZMmuH37NhITE3XLIiMjYWFhAW9v70KttzjLz7F+9OgRLCz0v0YtLS0B/Ne7Qc/GZN+DhTrcm/RkXia6aNEiiYiIkPfff19UKpVcv35dREQ++ugjGTBggK595iWMo0ePloiICFm0aBEv5TeAscf5559/FisrK5k/f77ExMToHg8fPjTVLhQLxh7nJ/FqNcMYe5wTEhLE29tbevXqJefPn5e9e/dKpUqVZMiQIabahWLD2GMdFhYmVlZW8t1338mVK1dk//79Ur9+fWnYsKGpdsHsJSQkyKlTp+TUqVMCQObMmSOnTp3STZdgLt+DDEdFbP78+eLr6ys2NjZSt25d2bt3r27doEGDpEWLFnrt9+zZI3Xq1BEbGxvx8/OT77//vogrLp6MOc4tWrQQANkegwYNKvrCixljf5+zYjgynLHH+cKFC9K2bVtRKpXi7e0tY8aMkUePHhVx1cWTscd63rx5EhAQIEqlUry8vOS1116T6OjoIq66+Ni9e3ee/781l+9BhQj7/oiIiIgyccwRERERURYMR0RERERZMBwRERERZcFwRERERJQFwxERERFRFgxHRERERFkwHBERERFlwXBERFQELl68iMaNG8POzg61a9c2dTlElAeGIyIymFqtxnvvvQd/f3/Y2trCx8cHXbt2xc6dO01dmtmbNGkSVCoVLl26lOPxysjIQFBQEF555RW95XFxcfDx8cEnn3yiW7Z27Vq0bNkSzs7OcHBwQM2aNTF16lTExsbq2iQnJ2PSpEl48cUXYWtrC3d3d/Tq1Qvnz58vvJ0kKiEYjojIINevX0e9evWwa9cufPHFFzh79izCw8PRqlUrDB8+3KS1paammvTzDXHlyhU0bdoUvr6+Od5N3NLSEkuXLkV4eDhWrFihW/7ee+/B1dUVEydOBABMmDABffv2RYMGDbBlyxacO3cOs2fPxpkzZ7B8+XIAQEpKCtq2bYvFixdj2rRpiIyMxB9//IGMjAw0atQIhw8fLpqdJiquCv0GJURUInTq1EnKlSsniYmJ2dY9ePBA9/zGjRvSrVs3UalU4ujoKL179xa1Wi0iIhcvXhQAcuHCBb33z549W3x9fUWj0YiIyPnz56VTp06iUqmkTJky8vrrr8s///yja9+iRQsZPny4jB49Wtzc3KR58+a67VSvXl3s7e3F29tb3n33XUlISND7rB9++EG8vb1FqVRKjx49ZPbs2eLs7KzXZsOGDVK3bl2xtbWVChUqyOTJkyUtLS3XY5ORkSFTpkyRcuXKiY2NjdSqVUu2bNmiW48n7iM1adKkXLf19ddfS6lSpeTWrVuyfv16sba2llOnTomIyJEjRwSAfPXVVzm+N/PnMGPGDFEoFHL69OlsddavX18CAgJ0x5qIsmM4IqKnun//vigUCvn888/zbKfRaKROnTrStGlTOX78uBw+fFjq1q2rdyPJevXqySeffKL3vnr16klISIiIiNy+fVvc3d0lJCRELly4ICdPnpR27dpJq1atdO1btGghDg4OMm7cOLl48aIubM2dO1d27dolV69elZ07d8qLL74o7777ru59+/fvFwsLC5k1a5ZcunRJ5s+fL66urnrhKDw8XJycnGTJkiVy5coV2bZtm/j5+cnkyZNz3e85c+aIk5OT/PLLL3Lx4kX58MMPxdraWiIjI0VEJCYmRqpVqyZjx46VmJiYbIHtyWPYsmVLadOmjZQpU0amTZumWzdy5EhxcHCQ1NTUPH4KIjVr1pT27dvnuG7FihUCQBe4iCg7hiMieqrMHot169bl2W7btm1iaWkpUVFRumXnz58XAHL06FER0QYJf39/3fpLly4JADl//ryIiHz66afZvthv3rwpAOTSpUsiog1HtWvXfmrdv/76q7i5uele9+3bVzp37qzX5rXXXtMLR82aNcsWApcvXy5eXl65fk7ZsmVl+vTpessaNGggw4YN072uVatWnj1GWV24cEEASI0aNfR6rDp16iQ1a9Z86vvt7Oxk1KhROa47efKkAJBVq1YZVAvR84hjjojoqUQEAKBQKPJsd+HCBfj4+MDHx0e3LCAgAC4uLrhw4QIAoF+/frhx44Zu3MuKFStQu3ZtBAQEAABOnDiB3bt3w8HBQfeoUqUKAO24nUz169fP9vm7d+9Gu3btUK5cOTg6OmLgwIG4f/8+kpKSAACXLl1Cw4YN9d7z5OsTJ05g6tSpep//1ltvISYmBo8ePcr2mfHx8bh9+zaaNGmit7xJkya6fTbW4sWLYW9vj2vXriE6Olq3XESe+jN4GkN/lkTPM4YjInqqSpUqQaFQPPXLPrcv76zLvby80KpVK/z8888AgF9++QWvv/66rq1Go0HXrl1x+vRpvcfly5fRvHlzXTuVSqX3GTdu3MBLL72E6tWrY+3atThx4gTmz58PAEhLS8u1vsywkPXzp0yZovfZZ8+exeXLl2FnZ5frvue03fwEkEOHDmHu3Ln4/fffERgYiDfffFNXY+XKlXHlyhXd/uSmcuXKiIiIyHHdxYsXAWh/pkSUM4YjInoqV1dXdOjQAfPnz9f1wmT18OFDANpeoqioKNy8eVO3LiIiAnFxcahatapu2WuvvYZVq1bh0KFDuHLlCvr166dbV7duXZw/fx5+fn6oWLGi3uPJQJTV8ePHkZ6ejtmzZ6Nx48aoXLkybt++rdemSpUqOHr0aLb3ZVW3bl1cunQp22dXrFgRFhbZ/5fp5OSEsmXLYv/+/XrLDx48qLfPhkhOTsagQYPwzjvvoG3btvjxxx9x7Ngx/O9//wMA9O/fH4mJifjuu+9yfH/mz6Ffv37YsWMHzpw5o7deo9Fg7ty5CAgIQK1atYyqjei5YrITekRUrFy9elU8PT0lICBA1qxZI5GRkRIRESFff/21VKlSRUT+G5DdrFkzOXHihBw5ckTq1aunNyBbRCQuLk7s7OykVq1a0qZNG711t27dktKlS0uvXr3kyJEjcuXKFdm6dasMHjxY0tPTRUQ75ujJMTWnTp3SXcl15coVWbZsmZQrV04A6K7iyhyQPXv2bImMjJQFCxaIm5ubuLi46LYTHh4uVlZWMmnSJDl37pxERETIypUrZcKECbkem7lz54qTk5OsXLlSLl68KOPHj9cbkC1i2JijkSNHygsvvKB3ReAPP/wgDg4Ocu3aNRER+fDDD8XS0lLGjRsnBw8elOvXr8uOHTukV69euqvYkpOTpVGjRuLj4yO//vqr3LhxQ44ePSo9evQQlUolhw4dyrMOoucdwxERGez27dsyfPhw8fX1FRsbGylXrpx069ZNdu/erWuT16X8WfXu3VsAyOLFi7Oti4yMlJ49e4qLi4solUqpUqWKvP/++7rLz3MKRyLawd5eXl6iVCqlQ4cOsmzZMr1wJKING+XKldNdyv/ZZ5+Jp6en3nbCw8MlKChIlEqlODk5ScOGDeWHH37I9bhkvZTf2to626X8Ik8PR3v27BFLS0vZt29ftnXt27eX1q1b6/Z/1apV0rx5c3F0dBSVSiU1a9aUqVOn6u1nUlKSfPLJJ1KxYkWxtrYWV1dXeeWVV+Ts2bO51kBEWgqRJ064ExE9R9566y1cvHgR+/btM3UpRGQmrExdABFRUfryyy/Rrl07qFQqbNmyBUuXLs11DA8RPZ/Yc0REz5U+ffpgz549SEhIgL+/P9577z0MHTrU1GURkRlhOCIiIiLKgpfyExEREWXBcERERESUBcMRERERURYMR0RERERZMBwRERERZcFwRERERJQFwxERERFRFgxHRERERFkwHBERERFl8X+zmavAntKTDgAAAABJRU5ErkJggg==", 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", 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" ] @@ -3561,10 +6599,9 @@ } ], "source": [ - "plt.plot(coverages, enthalpies_base, label='Base', color=colors[0])\n", + "plt.plot(coverages, enthalpies_base, label='Baseline', color=colors[0])\n", "plt.plot(coverages, enthalpies_cov_dep, label='Coverage Dependent', color=colors[1])\n", "\n", - "\n", "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n", "# provide discrete enthalpy and entropy values calculated with DFT\n", "# array of CO* coverage\n", @@ -3582,25 +6619,39 @@ "plt.legend()" ] }, + { + "cell_type": "markdown", + "id": "be7dafe4-bab7-4eb1-8dc8-c6436d2bfdca", + "metadata": {}, + "source": [ + "# Entropy with coverage dependence corrections matches the shape of DFT, but has an offset\n", + "\n", + "## This is because we took the XCO coverage-dependence parameters from Bae et al., but use the more recent NASA polynomials by Kirk Badger\n", + "\n", + "https://pubs.acs.org/doi/full/10.1021/acs.jcim.4c02167 - Bae et al.\n", + "\n", + "See RMG-database/input/thermo/libraries/surfaceThermoCovDepPt111.py for more details" + ] + }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 7, "id": "8ef85c64", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 54, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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dGgqFAjExMVrbni1bu3YtkpKSsHr1arz33nto3rw5GjZsCHNz8xyPndNf3WXKlFH/gszrXEVJbtcRHR2tVX779m0AgJOTk0Z5bvfX3Nwctra26rKPPvoIaWlpWLBgAebNm4f09HT4+/s/N0Zd48kvEcGgQYNgZWWFOXPmYMKECfDx8cEHH3yAhIQEAECHDh0AqL4/8qNdu3a4c+cODh06lOP2x48fY9u2bahdu/Zzk9533nkHFhYWWLhwITIyMrB48WL06NEDpUuXVtcxMzPDmDFjcOLECcTGxuLvv//GjRs30KFDB3VrSk46dOiAjIwMbNiw4bnXlJVE5/Y1MDEx0Yhp0KBBOHToEMLDwxESEoLo6GgMGjRIvT3r6xUQEJBjC+XRo0dRr149jfPk9H26ZMkS9O/fH9999x06dOiAxo0bo2HDhlqJUX5/LrPi+u2333KNK6ckiQyLyQ3pVU6/+ACom4ez/soGcm9dUCgUMDc31/hFFhMTg3Xr1r1QTDY2NmjcuDFWr16t0fKTkJCg9Us965zZWxFEBPPmzcv3+Vq3bo2EhASsX79eo3zZsmUvEn6ByLoeXVpz2rRpg7CwMJw4cUKjfNGiRVAoFFrv4Mnt/rZo0QKmpqbqcjc3N/Tu3RuzZs3CnDlz0K1bN43HannFs3PnTnUykz0ea2trNGnSJN/Xlt2vv/6KPXv2YPbs2XB2doZSqcTChQtx+/ZtjBs3DgDQoEEDdOrUCfPnz9d6HJfl2LFjiIqKAgCMHj0aVlZWGDFiRI6tImPHjsXDhw/xxRdfPDe+0qVLo0ePHli0aBE2btyImJgYjUdSzypVqhTefPNNDBs2DLGxsXm+uHHw4MFwdXXFp59+ilu3buVYZ/Xq1QCAatWqoXz58li2bJn6kRqgeuwbHBwMPz8/WFtbq8vfeecdWFpaYuHChVi4cCHKly+P9u3bq7dXq1YNVapUwenTp3NsoWzYsKHG4+bcKBQKrVa/f//9V+t6WrZsiXPnziEsLEyjfPny5RrrzZo1Q6lSpRAWFpZrXLn9sUMGZMgOP2T86tSpI506dZJZs2bJzp07Zfv27fLTTz+Jm5ub2NraagzPHDBggFhYWMjy5cvlyJEj6m0LFixQj8jZsWOHLFy4UCpVqiRVqlTR6vyLXDqOenp6yoABA9TrW7duFRMTE2nevLmsWbNGVq1aJY0aNRIPDw+NY4aHh4u5ubm0atVKNm3aJKtXr5Z27dqpz529Q27WEOpnJSUlSdWqVcXBwUF+//132bJli4waNUrn0VLfffederRP9uXZDsVdunTROkbLli01OmtfvXpVAEiPHj1k7969cvToUbl//36e15E1WsrV1VXmzp2rHvWlUChk6NCh6nrPjpZavXq1+v6amZnJvn37tI59+PBhdQfp/I4+yRotVbVqVVmyZIls2rRJ+vbtKwDkxx9/1Kib2/fFsyIiIsTKykrefvttrW1ZrwnYtm2biIjcu3dPPTLI399f1q1bJ3v27JEVK1bIe++9J6ampnLq1Cn1/qtWrRILCwupUaOGzJs3T/bs2SP//POPdOrUSQDI2LFj83XdIiJbtmwRAOLu7i7u7u5a74zq2rWrfPbZZ+oRQ4sWLRIvLy/x9PTMdcRilsOHD0vZsmWlbNmyMmXKFNm6davs3r1b5s2bJy1btpRSpUqp62aNlurcubOsW7dOVq5cKY0aNdIYLZXdO++8I87OzmJubi6ff/651vadO3eKhYWFtG/fXpYtW6Ye7fTdd9/Jm2++qa6X1aH46NGjWsfo37+/WFhYyC+//CI7duyQH3/8UcqWLSvu7u4aPwO3bt3SGC21efNm6devn/q1FFmjC0VUo6VMTEykT58+8s8//0hoaKisWrVKJk6cKP7+/nneTzIMJjekVytWrJB3331XqlSpIra2tqJUKqVChQrSr18/CQsL06h77do1ad++vdjZ2Wm850ZE5PvvvxcvLy+ND4ec3kmT3+RGRGT9+vVSt25dMTc3lwoVKsj333+f4zE3bNggPj4+YmlpKeXLl5dx48bJ5s2b853ciIjcvHlTevXqJba2tmJnZye9evWSAwcOFMhoqQkTJmhcZ36SGxGR6dOni7e3t5iamub4npucXL9+Xd59910pU6aMKJVKqVatmkydOjXX99xMmTJF3N3dxdzcXOrXry9btmzJ9Tq9vLykRo0aed6LZ509e1a6desmDg4OYm5uLj4+Pjnez/wkNxkZGeLn5yeurq7y4MEDre2pqani4+Mjnp6e6tF4ycnJMmPGDPHz8xN7e3sxMzOTcuXKyRtvvCH//vuv1jHOnz8vAwYMEHd3d1EqleLo6CgdO3bMse7zYs1KxLN//bNMmzZNmjZtKk5OTurv78GDB8u1a9fydfyYmBgZP3681KpVS6ytrcXCwkIqV64sH374oZw9e1aj7tq1a+WVV14RS0tLsbGxkTZt2sj+/ftzPO7WrVvV37cXL17Msc7p06flrbfeEmdnZ1EqleLq6iqvvfaazJkzR10nr+Tm4cOHMnjwYHF2dhZra2tp3ry57N27N8efgXPnzknbtm3F0tJSHB0dZfDgwep3LGV/946ISGhoqHTp0kUcHR1FqVRK+fLlpUuXLkX2pYYlnUIkW3siEdFLunbtGry9vTF16lSMHTs2X/ucOXMGPj4+mDlzprrzKJEh/O9//8Pff/+NBw8e8HFTMca5pYjIYK5cuYLr16/j888/h5ubG+cVo0L11VdfoVy5cqhYsSISExOxceNG/Pnnn/jiiy+Y2BRzTG6IyGC+/vprLF68GDVq1MA///yj0QGVSN+USiWmTp2KmzdvIj09HVWqVMHPP/+MUaNGGTo0ekl8LEVERERGhUPBiYiIyKgwuSEiIiKjwuSGiIiIjEqJ61CcmZmJ27dvw87OLs8J6oiIiKjoEBEkJCSgXLlyGpO15qTEJTe3b99+7sR0REREVDTduHED7u7uedYpcclN1twkN27cgL29vYGjISIiovyIj4+Hh4dHvuYYK3HJTdajKHt7eyY3RERExUx+upSwQzEREREZFSY3REREZFSY3BAREZFRYXJDRERERoXJDRERERkVJjdERERkVJjcEBERkVFhckNERERGhckNERERGRUmN2Q0ElITEJMUk+O2mKQYJKQmFHJERERkCExuyCgkpCbAf7s/BoUM0kpwYpJiMChkEPy3+zPBISIqAZjckFFISktCbHIsbibe1EhwshKbm4k3EZsci6S0JANHSkRE+sbkhoyCq40rgjoGwd3WXZ3gnLp7Sp3YuNu6I6hjEFxtXA0dKhER6ZlCRMTQQRSm+Ph4ODg4IC4ujrOCG6HsLTVZmNgQERV/unx+s+WGjIqrjSsCWwRqlAW2CGRiQ0RUgjC5IaMSkxSDgL0BGmUBewNyHUVFRETGh8kNGY3sj6Tcbd2xuNNijT44THCIiEoG9rkpICKC5LSMAjse6eZO0h34b/PHraRbKG9THnPazYGLjUuu5UREpF9WSlMoFIoCO54un99MbgrI49R01PxyS4Edj4iIqDgL+6oDrM3NCux47FBMREREJVbBpVQlnJXSFGFfdTB0GEREREWCldLUYOdmclNAFApFgTa/ERER0YvhYykiIiIyKkxuiIiIyKgwuSEiIiKjwuSGiIiIjAqTGyIiIjIqTG6IiIjIqDC5ISIiIqPC5IaIiIiMCpMbIiIiMipMboiIiMioMLkhIiIio8LkhoiIiIwKkxsiIiIyKkxuiIiIyKgwuSEiIiKjYtDkZvbs2ahbty7s7e1hb28PPz8/bN68Odf6u3fvhkKh0FouXLhQiFETERFRUWZmyJO7u7vj+++/R+XKlQEAf/31F15//XWcPHkStWrVynW/iIgI2Nvbq9fLli2r91iJiIioeDBoctOtWzeN9W+//RazZ8/GoUOH8kxunJ2dUapUKT1HR0RERMVRkelzk5GRgeXLlyMpKQl+fn551q1fvz7c3NzQpk0b7Nq1K8+6KSkpiI+P11iIiIjIeBk8uTl79ixsbW1hYWEBf39/rFmzBjVr1syxrpubG+bOnYvg4GCsXr0a1apVQ5s2bbBnz55cjx8YGAgHBwf14uHhoa9LISIioiJAISJiyABSU1MRFRWFR48eITg4GH/++SdCQ0NzTXCe1a1bNygUCqxfvz7H7SkpKUhJSVGvx8fHw8PDA3FxcRr9doiIiKjoio+Ph4ODQ74+vw3a5wYAzM3N1R2KGzZsiKNHj+LXX3/FH3/8ka/9mzRpgiVLluS63cLCAhYWFgUSKxERERV9Bn8s9SwR0WhpeZ6TJ0/Czc1NjxERERFRcWLQlpvPP/8cnTp1goeHBxISErB8+XLs3r0bISEhAICAgADcunULixYtAgBMnz4dXl5eqFWrFlJTU7FkyRIEBwcjODjYkJdBRERERYhBk5s7d+6gX79+iI6OhoODA+rWrYuQkBC0a9cOABAdHY2oqCh1/dTUVIwdOxa3bt2ClZUVatWqhX///RedO3c21CUQERFREWPwDsWFTZcOSURERFQ06PL5XeT63BARERG9DCY3REREZFSY3BAREZFRYXJDRERERoXJDRERERkVJjdERERkVJjcEBERkVFhckNERERGhckNURGTkJqAmKSYHLfFJMUgITWhkCMiIipemNwQFSEJqQnw3+6PQSGDtBKcmKQYDAoZBP/t/kxwiIjywOSGqAhJSktCbHIsbibe1EhwshKbm4k3EZsci6S0JANHSkRUdDG5ISpCXG1cEdQxCO627uoE59TdU+rExt3WHUEdg+Bq42roUImIiixOnElUBGVvqcnCxIaISjJOnElUzLnauCKwRaBGWWCLQCY2RET5wOSGqAiKSYpBwN4AjbKAvQG5jqIiIqKnmNwQFTHZH0m527pjcafFGn1wmOAQEeWNyQ1REfJsYhPUMQj1nOtpdTJmgkNElDsmN0RFiI3SBo5Wjlqdh7OPonK0coSN0sbAkRIRFV0cLUVUxCSkJiApLSnHzsMxSTGwUdrAztzOAJERERmOLp/fZoUUExHlk525Xa7JC0dLERE9Hx9LERERkVFhckNEBY6TfxKRITG5IaICxck/icjQmNwQUYHi5J9EZGhMboioQHHyTyIyNA4FJyK94OSfRFSQOHEmERkcJ/8kIkNhckNEesHJP4nIUJjcEFGB4+SfRGRITG6IqEBx8k8iMjQmN0RUoDj5JxEZGkdLEVGB4+SfRFTQOHEmERkUJ/8kIkPiYykiIiIyKkxuiIiIyKgYNLmZPXs26tatC3t7e9jb28PPzw+bN2/Oc5/Q0FD4+vrC0tISFStWxJw5cwopWiIiIioODJrcuLu74/vvv8exY8dw7NgxvPbaa3j99ddx/vz5HOtHRkaic+fOaNGiBU6ePInPP/8cI0eORHBwcCFHTkREREVVkRst5ejoiKlTp2Lw4MFa28aPH4/169cjPDxcXebv74/Tp0/j4MGD+To+R0sREREVP8VybqmMjAwsX74cSUlJ8PPzy7HOwYMH0b59e42yDh064NixY0hLS8txn5SUFMTHx2ssREREZLwMntycPXsWtra2sLCwgL+/P9asWYOaNWvmWDcmJgYuLi4aZS4uLkhPT8f9+/dz3CcwMBAODg7qxcPDo8CvgYiIiIoOgyc31apVw6lTp3Do0CF89NFHGDBgAMLCwnKtr1AoNNaznqo9W54lICAAcXFx6uXGjRsFFzwREREVOQZ/iZ+5uTkqV64MAGjYsCGOHj2KX3/9FX/88YdWXVdXV8TEaM5Hc/fuXZiZmaFMmTI5Ht/CwgIWFhYFHzgREREVSQZvuXmWiCAlJSXHbX5+fti2bZtG2datW9GwYUMolcrCCI+IiIiKOIMmN59//jn27t2La9eu4ezZs5gwYQJ2796Nvn37AlA9Uurfv7+6vr+/P65fv44xY8YgPDwcCxYswPz58zF27FhDXQIREREVMQZ9LHXnzh3069cP0dHRcHBwQN26dRESEoJ27doBAKKjoxEVFaWu7+3tjU2bNmH06NGYOXMmypUrhxkzZqBXr16GugQiIiIqYorce270je+5ISIiKn6K5XtuiIiIiAoCkxsiIiIyKkxuiIiIyKgwuSEiIiKjwuSGiIiIjAqTGyIiIjIqTG6IiIjIqDC5ISIiIqPC5IaIiIiMCpMbIiIiMipMboiIiMioMLkhIiIio8LkhoiIiIwKkxsiIiIyKkxuiIiIyKgwuSEiIiKjwuSGiIiIjEqBJTdPnjzBTz/9VFCHIyIiInohOiU39+/fx7///outW7ciIyMDAJCWloZff/0VXl5e+P777/USJBEREVF+meW34oEDB9ClSxfExcVBoVCgYcOGCAoKQo8ePZCZmYkvvvgC77//vj5jJSIiInqufLfcTJw4ER06dMCZM2cwatQoHD16FF27dsUXX3yBS5cuYfjw4bC2ttZnrERERETPpRARyU9FJycnhIaGolatWnj8+DHs7OywfPly9O7dW98xFqj4+Hg4ODggLi4O9vb2hg6HiIiI8kGXz+98t9zExsaibNmyAABra2tYW1ujfv36LxcpERERUQHLd58bhUKBhIQEWFpaQkSgUCjw+PFjxMfHa9RjawgREREZUr6TGxFB1apVNdazt9xkJTxZo6iIiIiIDCHfyc2uXbv0GQcRERFRgch3ctOyZUt9xkFERERUIDj9AhERERkVJjdERERkVJjcEBERkVFhckNERERGJd/JTbly5fDRRx9h8+bNSE1N1WdMRERERC8s38nNsmXLYG1tjZEjR8LJyQm9e/fG4sWLERsbq8/4iIiIiHSS77mlsjt//jzWr1+PdevW4eTJk/Dz88Prr7+O7t27o1KlSvqIs8BwbikiIqLiRy9zS2VXq1YtBAQE4NChQ4iKikLfvn2xc+dO1KlTB7Vr18a///77QoETERERvayX7lDs4uKCIUOGYMOGDbh//z6+/vprWFhY5GvfwMBANGrUCHZ2dnB2dkaPHj0QERGR5z67d++GQqHQWi5cuPCyl0JERERGIN9vKM4Pa2tr9OzZM9/1Q0NDMWzYMDRq1Ajp6emYMGEC2rdvj7CwMNjY2OS5b0REhEazVNaM5URERFSyFWhyo6uQkBCN9aCgIDg7O+P48eN49dVX89zX2dkZpUqV0mN0REREVBwVqffcxMXFAQAcHR2fW7d+/fpwc3NDmzZtDDqpZ0JqAmKSYnLcFpMUg4TUhEKO6MUYy3UQEREVmeRGRDBmzBg0b94ctWvXzrWem5sb5s6di+DgYKxevRrVqlVDmzZtsGfPnhzrp6SkID4+XmMpKAmpCfDf7o9BIYO0EoOYpBgMChkE/+3+RT4xMJbrICIiAl4guVm4cCEeP35c4IEMHz4cZ86cwd9//51nvWrVqmHIkCFo0KAB/Pz8MGvWLHTp0gU//fRTjvUDAwPh4OCgXjw8PAos5qS0JMQmx+Jm4k2NxCArIbiZeBOxybFISksqsHPqg7FcBxEREfACyU1AQABcXV0xePBgHDhwoECCGDFiBNavX49du3bB3d1d5/2bNGmCS5cu5bgtICAAcXFx6uXGjRsvG66aq40rgjoGwd3WXZ0YnLp7Sp0QuNu6I6hjEFxtXAvsnPpgLNdBREQEvEByc/PmTSxZsgQPHz5E69atUb16dfzwww+Iicm5v0ZeRATDhw/H6tWrsXPnTnh7e+t8DAA4efIk3NzcctxmYWEBe3t7jaUgPZsY9Nvcr1gmBMZyHURERDonN6ampujevTtWr16NGzdu4H//+x+WLl2KChUqoHv37li3bh0yMzPzdaxhw4ZhyZIlWLZsGezs7BATE4OYmBgkJyer6wQEBKB///7q9enTp2Pt2rW4dOkSzp8/j4CAAAQHB2P48OG6XkqBcbVxRWCLQI2ywBaBxS4hMJbrINIXdrwnKh5eqkOxs7MzmjVrBj8/P5iYmODs2bMYOHAgKlWqhN27dz93/9mzZyMuLg6tWrWCm5ubelmxYoW6TnR0NKKiotTrqampGDt2LOrWrYsWLVpg3759+Pfff/HGG2+8zKW8lJikGATsDdAoC9gbkOsvwaLKWK6DSB/Y8Z6o+Hih5ObOnTv46aefUKtWLbRq1Qrx8fHYuHEjIiMjcfv2bbzxxhsYMGDAc48jIjkuAwcOVNdZuHChRqL06aef4vLly0hOTkZsbCz27t2Lzp07v8hlFIjsnW7dbd2xuNNijb4rxSUxMJbrINIXdrwnKj50njizW7du2LJlC6pWrYoPPvgA/fv313ovze3bt+Hu7p7vx1OFqSAnznw2Icjqm5JbeVFlLNdBpG/P/kwEtghEwN4A/owQFQK9Tpzp7OyM0NBQnDt3Dh9//HGOL9xzc3NDZGSkrocudmyUNnC0ctT6pZa9c66jlSNslHlPJWFoxnIdRPrGjvdExYPOLTfFXUG23ACq5/BJaUk5/lKLSYqBjdIGduZ2L30efTOW6yAqDKfunkK/zf3U64s7LUY953qGC4ioBNBryw0A7NixA127dkWlSpVQuXJldO3aFdu3b3+hYIs7O3O7XP9ac7VxLTYJgbFcB5G+seM9UdGnc3Lz+++/o2PHjrCzs8OoUaMwcuRI2Nvbo3Pnzvj999/1ESMRUZHAjvdExYPOj6XKly+PgIAArffKzJw5E99++y1u375doAEWtIJ+LEVEJQM73hMZll4fS8XHx6Njx45a5e3bty/QSSmJiIoSdrwnKj7MdN2he/fuWLNmDcaNG6dRvm7dOnTr1q3AAiMiKkrszO0wp+2cHDveZyU47HhPVDTonNzUqFED3377LXbv3g0/Pz8AwKFDh7B//3588sknmDFjhrruyJEjCy5SIiIDszO3yzV54aMooqJD5z43+Z3cUqFQ4OrVqy8UlD6xzw0REVHxo8vnt84tNyXh5XxERERUfL3UxJlZc0ERERERFRUvlNwsWrQIderUgZWVFaysrFC3bl0sXry4oGMjIiIi0pnOj6V+/vlnTJw4EcOHD0ezZs0gIti/fz/8/f1x//59jB49Wh9xEhEREeXLC3UonjJlCvr3769R/tdff2Hy5MlFvk8OOxQTEREVP3p9iV90dDSaNm2qVd60aVNER0frejgiIiKiAqVzclO5cmWsXLlSq3zFihWoUqVKgQRFRERE9KJ07nMzZcoU9OnTB3v27EGzZs2gUCiwb98+7NixI8ekh4iIipaE1IQc37QMqObQ4puWqbjTueWmV69eOHLkCJycnLB27VqsXr0aTk5OOHLkCHr27KmPGImIqIAkpCbAf7t/jrOYZ00C6r/dHwmpCQaKkOjl6dRyk5aWhv/973+YOHEilixZoq+YiIhIT5LSkhCbHIubiTcxKGRQjrObZ9Vj6w0VVzq13CiVSqxZs0ZfsRARkZ5ln8U8K8E5dfeUOrF5dtZzouJI58dSPXv2xNq1a/UQChERFYZnE5x+m/sxsSGjonOH4sqVK+Prr7/GgQMH4OvrCxsbG43tnAmciKjoc7VxRWCLQPTb3E9dFtgikIkNGYUCnRW8qM4Enh1f4kdEBK0+NgDYckNFGmcFJyKiXGVPbNxt3RHYIhABewO0OhkTFVc697n56quv8PjxY63y5ORkfPXVVwUSFBER6ceziU1QxyDUc66n1cn42WHiRMWJzsnNlClTkJiYqFX++PFjTJkypUCCIiIi/bBR2sDRylHrEVT2TsaOVo6wUdo850hERZfOj6VEBAqFQqv89OnTcHR0LJCgiIhIP+zM7TCn7Zwc31CcleDwDcVU3OU7uSldujQUCgUUCgWqVq2qkeBkZGQgMTER/v7+egmSiIgKjp25Xa7JC/vakDHId3Izffp0iAjef/99TJkyBQ4ODupt5ubm8PLygp+fn16CJCIiIsqvfCc3AwYMAKAaCt60aVMolUq9BUVERET0onTuc9OyZUtkZmbi4sWLuHv3LjIzMzW2v/rqqwUWHBEREZGudE5uDh06hHfffRfXr1/Hs+//UygUyMjIKLDgiIiIiHSlc3Lj7++Phg0b4t9//4Wbm1uOI6eIiIiIDEXn5ObSpUtYtWoVKleurI94iIiIiF6Kzi/xe+WVV3D58mV9xEJERET00nRObkaMGIFPPvkECxcuxPHjx3HmzBmNRReBgYFo1KgR7Ozs4OzsjB49eiAiIuK5+4WGhsLX1xeWlpaoWLEi5syZo+tlEBERkZHSeVZwExPtfEihUKjfXKxLh+KOHTvi7bffRqNGjZCeno4JEybg7NmzCAsLg41Nzq/+joyMRO3atTFkyBB8+OGH2L9/P4YOHYq///4bvXr1eu45OSs4ERFR8aPL57fOyc3169fz3O7p6anL4TTcu3cPzs7OCA0NzXVI+fjx47F+/XqEh4ery/z9/XH69GkcPHjwuedgckNERFT86PL5rXOH4pdJXp4nLi4OAPKco+rgwYNo3769RlmHDh0wf/58pKWlab1cMCUlBSkpKer1+Pj4AoyYiIiIipp897kZOnSoxmzgixcv1lh/9OgROnfu/MKBiAjGjBmD5s2bo3bt2rnWi4mJgYuLi0aZi4sL0tPTcf/+fa36gYGBcHBwUC8eHh4vHCMREREVfflObv744w88fvxYvT5s2DDcvXtXvZ6SkoItW7a8cCDDhw/HmTNn8Pfffz+37rPv1sl6spbTO3cCAgIQFxenXm7cuPHCMRIREVHRl+/HUs92zdGxq06eRowYgfXr12PPnj1wd3fPs66rqytiYmI0yu7evQszMzOUKVNGq76FhQUsLCwKLFYiIiIq2nQeCl6QRATDhw/H6tWrsXPnTnh7ez93Hz8/P2zbtk2jbOvWrWjYsCEn8yQiIiLDJjfDhg3DkiVLsGzZMtjZ2SEmJgYxMTFITk5W1wkICED//v3V6/7+/rh+/TrGjBmD8PBwLFiwAPPnz8fYsWMNcQlERERUxOg0WurLL7+EtbU1ACA1NRXffvstHBwcAECjP05+zZ49GwDQqlUrjfKgoCAMHDgQABAdHY2oqCj1Nm9vb2zatAmjR4/GzJkzUa5cOcyYMSNf77ghIiIi45fv99y0atUqX5Nk7tq166WD0ie+54aIiKj40ct7bnbv3v2ycRERERHpnUH73BAREREVNCY3REREZFSY3BAREZFRYXJDRERERoXJDRERERmVfI2WOnPmTL4PWLdu3RcOhoiIiOhl5Su5qVevHhQKBUTkue+6ycjIKJDAiIiIiF5Evh5LRUZG4urVq4iMjERwcDC8vb0xa9YsnDx5EidPnsSsWbNQqVIlBAcH6zteIiIiojzlq+XG09NT/f/evXtjxowZ6Ny5s7qsbt268PDwwMSJE9GjR48CD5KIiIgov3SaWwoAzp49m+Ps3d7e3ggLCyuQoIhKrLRkIOmeakn879+ku0BKImBmCZhZAEor1b9mlk8XpWXe62YWQD6mTyEiMgY6Jzc1atTAN998g/nz58PS0hIAkJKSgm+++QY1atQo8ACJijUR4MkjzUQl6f5/ycvdp4lMVjKTmqC/WHRJhvKTLKmTLKvc100tABMOyiSiwqVzcjNnzhx069YNHh4e8PHxAQCcPn0aCoUCGzduLPAAiYqcjLSnCUpWsqKVqGRLYjLTdDu+qTlgU/bpYusMWNgB6SlA+pP/lhRVK096CpCenPs6ss2Lm7VvYTO1eJogWdgBZasDLrUB19qqf0t5MgEiogKV71nBs3v8+DGWLFmCCxcuQERQs2ZNvPvuu7CxsdFHjAWKs4JTjlISc0lO7mo/Ikp+qPvxLeyzJStZiYszYOOkSl6yr1s6FMwjJBFVIqaV/Dx5uqQ90W09v0mV6DBq0twOcKmZLeGpo1o3L/q/T4io8Ojy+a1TcpOWloZq1aph48aNqFmz5ksHaghMbkqQ1CTgUdTzk5Wk+0DaY92OrTABrLMSE6f/EpMcEpeshEZpqZ9rLKoy0nNOqh4/AO6cB+6cA2LOAvcuABmpORxAATh6/5fw1Hma+Dh4sO8QUQmly+e3To+llEolUlJSnvuuG6JClZkJPLr+34fmfx+cd84DsVeh8Vjmecys8mhVyfaIyKYsYOXIRyl5MTUDTO1Uj6GeVbHl0/9npAEPLgMx54A7Z//79zyQGKP6+sVeBcLXP61v4QC41Hr6SMu1NuBcU9W/h4joPzo/lvr+++9x4cIF/PnnnzAz07nLjsGx5aaYexIH3Al7msDcOQ/cDQNSE3Oub+kA2Lo8J1n5r+XF3IatAkVF4r3/vsbn/kt4zgH3InLuv6QwARwrZUt4/mvpsS/HryeREdHbYykA6NmzJ3bs2AFbW1vUqVNHq5/N6tWrdY+4EDG5KSYyM1R/tWclMVl/0cdF5Vzf1PxpR1WXWk8XW+fCjZv0Jz0VuH/x6SOtrMTn8f2c61uV/u/7IVvn5bLVS94jQiIjobfHUgBQqlQp9OrV64WDI9LyODZbS8x//94Nz31kj727ZgLjUhsoUwkwVRZu3FS4zMxVSYprbcDn7aflCXeyPdL67/vnXoSq4/e1vaoli8IUcKqa7dFWHdW/ti5s5SEyIi80Wqo4Y8uNAaWnAg8uaSYxd84DCdE511daA841niYwLrVVo2isShdu3FT8pKeoOitnJTxZLT25jXSzdnraupPV0uNUTZVQEVGRoNfHUsUdk5tCIKIanZQ9gblzXvVhk9s7X0p7PfNIqbaqzMS0MCMnYyaiSqQ1Oi+fU3Volkzt+iZKoGy1p9+PWS09tmULP3Yi0n9ys2rVKqxcuRJRUVFITdUcxnnixAldD1eomNwUsLQnqqTl2ZFKufWDsLDXfqTkXCPnUTVEhSEtWfUYNHvn5TvnVJ3Xc2LrArjWBap3Bmr1ZEsiUSHRa5+bGTNmYMKECRgwYADWrVuHQYMG4cqVKzh69CiGDRv2wkFTEScCxN3UfqT04HLOL2zLGsGSfdiuSy2+p4SKHqUVUL6Basmi/n4/p9nSE3sVSLwDXN6mWjaPB6q0V/UBqtJeNe0EFZqE1AQkpSXB1cZVa1tMUgxslDawM+cfTiWRzi031atXx6RJk/DOO+/Azs4Op0+fRsWKFfHll18iNjYWv//+u75iLRBsucmH1Meq4dXPjlRKyeUv2eyjUrJaZMpWB8ytCzduIn1LTVK18lzfD5xZqfoZyWJZStWS4/M24PEKk3g9S0hNgP92f8QmxyKoY5BGghOTFINBIYPgaOWIOW3nMMExEnp9LGVtbY3w8HB4enrC2dkZ27Ztg4+PDy5duoQmTZrgwYMHLxW8vjG5ycGTOODGEeDaPuD6AeD2yZz7xpiYqTpZZn+k5FILsHPlL3IqmWLOAWdWAGf/0ewYX8oTqNtHtThVNlx8RiwrgbmZeBPutu7qBCe3cir+9PpYytXVFQ8ePICnpyc8PT1x6NAh+Pj4IDIyEiWsb3LxlfQAiDqo+uvz+n7VSJJnO1TaOP/3OCnbSCWnqhw9QpRd1tD0tpNVQ85Pr1C9UfnRdWDPj6qlvK8qyandS/XCSCoQrjauCOoYpE5kBoUMQmCLQATsDShWiQ0fremHzi03H3zwATw8PDBp0iTMmTMHY8aMQbNmzXDs2DG88cYbmD9/vr5iLRAlsuUmIea/ROYAcG0/cC9cu05pb8CzGeDVDPBsqvrLk60xRLpLfQxEbAJOLweu7HzaJ83EDKjcFqj7FlCtM6eMKCDZW2qyFKfEho/W8k+vj6UyMzORmZmpnnph5cqV2LdvHypXrgx/f3+Ymxftv+yNPrkRUU0Wef3A05aZ2Kva9cpWVyUxnv8lM/blCj9WImOXeBc4F6x6dHX75NNyczug5uuATx/AsznnKXtJp+6eQr/N/dTrizstRj3neoYLKJ/4aE03fM9NHowuuRFRjVjK3jITf/OZSgrVfDtZLTMV/Ng8TlTY7kWoOiGfWak5jYh9eaBOb1VHZOcahouvmCrOLTeAdoJTHB+tFZYCT27OnDmT75PXrVs333UNodgnN5mZqpFM6paZA0DSXc06JmZAufr/tcw0BzwaA1alDBIuET0jM1PV5+3MCuD8Ws1RiK51gLpvA3XeVHXUpzwZS2JQ3BO0wlLgyY2JiQkUCgVEBIrn9MPIyMjhnSdFSLFLbjLSgZjT/yUz/y1PHmnWMbUA3BupkhmvZqr/m9vkeDgiKkLSngCXtqg6Il/a+nSUosIEqNhK1RG5elfAwtagYRZFxvZIp7g+WitMBT5aKjIyUv3/kydPYuzYsRg3bhz8/PwAAAcPHsS0adPw448/vkTYBEA1J86tE09bZW4cBlITNesobYAKrzxtmSnfgC8PIyqOlJaqvjc1X1dNIHt+teqx1Y3Dqs7IV3aq5lir3lXVP8e7FWCq8yBXo2SjtIGjlSMAaCQw2UdROVo5wkZZ9P/Qi0mKQcDeAI2ygL0BxSYxK4p07nPTuHFjTJ48GZ07d9Yo37RpEyZOnIjjx48XaIAFrci13KQmATePPm2VuXlUezZsSwegQtOnLTOuPvwFR2TMYq8CZ/4BzizXHBBg6wLUflM14srNp8SPaDSGYdTG8mitMOi1Q7GVlRVOnDiBGjU0O76Fh4ejQYMGSE5O1j3iQmTw5OZJHBB1+GnLzO0TQGa6Zh2bspojmZxrcTQFUUkkAtw6rhpWfi4YSI59uq1sddVjqzq9gVIehouRXpixPVrTN70mNw0aNECNGjUwf/58WFpaAgBSUlLw/vvvIzw8nBNnPivpARB14GkH4JxemGdf/mki49UcKFO5xP9FRkTPSE8FruxQJToRm4GMlKfbvFqoWnNqvq5q6aVige+50Y1ek5sjR46gW7duyMzMhI+PDwDg9OnTUCgU2LhxIxo3bpzvY+3ZswdTp07F8ePHER0djTVr1qBHjx651t+9ezdat26tVR4eHo7q1avn65x6T27io5+2ylw/kPML8xwrarbM8IV5RKSLJ3FA2DpV/5xre5+Wm1oA1TqphpVXasM3ihcDxvBorbDodfqFxo0bIzIyEkuWLMGFCxcgIujTpw/effdd2Njo1nErKSkJPj4+GDRoEHr16pXv/SIiIjQurGzZsjqdVy/uXgCWv5PLC/Nq/JfMNOUL84jo5Vk6AA36q5ZHN4CzK1Ujru5HAGFrVYuVo2rKB5+3VVNA8A+oIsnO3C7X5IWPol5ckXmJn0KhyHfLzcOHD1GqVKkXOo/eWm5SEoDvPQHI0xfmeTblC/OIqHCIANGnVa05Z//RfP+VY6X/JvLsrWo5JiqG9NpyAwAXL17E7t27cffuXWRmavYf+fLLL1/kkDqpX78+njx5gpo1a+KLL77I8VFVlpSUFKSkPH02HR8fr5+gLOyAgRtVE03ymTcRFTaFAihXT7W0+wqI3K1qzbmwEYi9Auz+TrV4vKLqn1PrDcDa0cBBE+mHzi038+bNw0cffQQnJye4urpqvNRPoVC8cIfi/LTcREREYM+ePfD19UVKSgoWL16MOXPmYPfu3Xj11Vdz3Gfy5MmYMmWKVnmRGQpORKRPKYmqBOf0ciAy9OmABhMlUKU90Pxj1VvMiYo4vXYo9vT0xNChQzF+/PiXClIrkHwkNznp1q0bFAoF1q9fn+P2nFpuPDw8mNwQUckTHw2cW6Wa+iHm7NPy2m8CbSdzSDkVabokNzq/POXhw4fo3bv3CwdX0Jo0aYJLly7lut3CwgL29vYaCxFRiWTvBjQdAfjvAz46CNR/D4BClfD83hDY+Y2qpYeomNM5uenduze2bt2qj1heyMmTJ+Hm5mboMIiIiheXmsDrM4EPQ1XTuKQ/AfZMBX7zBU4uVU3wSVRM6dyhuHLlypg4cSIOHTqEOnXqQKlUamwfOXJkvo+VmJiIy5cvq9cjIyNx6tQpODo6okKFCggICMCtW7ewaNEiAMD06dPh5eWFWrVqITU1FUuWLEFwcDCCg4N1vQwiIgJU0zgM3AiEbwC2TQQeXgPWDQWOzAU6BqpGfRIVMzr3ufH29s79YAoFrl7N4T0vucjtpXwDBgzAwoULMXDgQFy7dg27d+8GAPz444+YO3cubt26BSsrK9SqVQsBAQFa81zlxeDTLxARFVXpKcDhOUDoVCA1QVVW83XV6KvSXgYNjUivHYqLOyY3RETPkXgP2PUtcOIv1egqU3OgyVCgxSeAJX9vkmHotUMxEREZOduyQLfpqo7H3i2BjFRg/3TgtwbA8b+AzAxDR0iUpxdqubl58ybWr1+PqKgopKamamz7+eefCyw4fWDLDRGRDkSAiyHAlgmqlwECgEsdoON3gHfO7xcj0ge9vqF4x44d6N69O7y9vREREYHatWvj2rVrEBE0aNDghYMmIqIiSKFQTcZZqQ1w9E8g9Hvgzlngr25A9a6q/jhlKhk6SiINOj+WCggIwCeffIJz587B0tISwcHBuHHjBlq2bFmk3n9DREQFyMwc8BsKjDgJNBoCKExVbz6e+YqqVSf5kaEjJFLTObkJDw/HgAEDAABmZmZITk6Gra0tvvrqK/zwww8FHiARERUhNmWALj8BHx0AKrcFMtOAg7+r+uMc/RPISDd0hES6Jzc2Njbq6QzKlSuHK1euqLfdv3+/4CIjIqKiy7k68F4w0HcV4FQNePwA+PcTYE5z4PIOQ0dHJZzOyU2TJk2wf/9+AECXLl3wySef4Ntvv8X777+PJk2aFHiARERUhFVpB3y0H+g0FbAqDdwLB5a8ASx9C7h30dDRUQml82ipq1evIjExEXXr1sXjx48xduxY7Nu3D5UrV8Yvv/wCT09PfcVaIDhaiohIT5IfAqE/qt5unJkOmJgBjT4AWo4HrB0NHR0Vc3yJXx6Y3BAR6dn9S8DWL1RDyAHAshTQ+nOg4fuAqTLPXYlyo9eX+FWsWBEPHjzQKn/06BEqVqyo6+GIiMjYOFUB3l0B9FsDONcEnjwCNn8KzG4KXNpm6OioBNA5ubl27RoyMrTfTpmSkoJbt24VSFBERGQEKr0GfLgX6PIzYF0GuH8RWPomsPgN4G64oaMjI5bvl/itX79e/f8tW7bAwcFBvZ6RkYEdO3bAy8urQIMjIqJiztQMaDQYqN0L2PsTcGgOcGUHMHs30HAQ0Opz1fByogKU7z43JiaqRh6FQoFnd1EqlfDy8sK0adPQtWvXgo+yALHPDRGRAT24Amz7UvUCQACwcABajVe9GNDM3LCxUZGm1w7F3t7eOHr0KJycnF4qSENhckNEVARE7gFCPldN5QAAjpWA9t+opnpQKAwbGxVJHC2VByY3RERFRGYGcGopsONrIOmuqsy7JdDhO8C1tmFjoyJHL6OlDh8+jM2bN2uULVq0CN7e3nB2dsb//vc/9ZuLiYiInsvEFGjQHxhxHGg+GjC1ACJDgT9aABtGAYn3DB0hFVP5Tm4mT56MM2fOqNfPnj2LwYMHo23btvjss8+wYcMGBAYG6iVIIiIyYpb2QNvJwPAjQM0egGQCxxcCM+oD+6YD6fzDmXST7+Tm1KlTaNOmjXp9+fLleOWVVzBv3jyMGTMGM2bMwMqVK/USJBERlQClvYC3/gIGbQbc6gGpCcD2ScDMxkDYOqBk9aKgl5Dv5Obhw4dwcXFRr4eGhqJjx47q9UaNGuHGjRsFGx0REZU8nk2BIbuAHrMBW1fg4TVgZX9gYRfg9ilDR0fFQL6TGxcXF0RGRgIAUlNTceLECfj5+am3JyQkQKnka7WJiKgAmJgA9d5V9cd59VPAzBK4vh+Y2wpYOwxIiDF0hFSE5Tu56dixIz777DPs3bsXAQEBsLa2RosWLdTbz5w5g0qVKuklSCIiKqEsbIHXJgDDjwF1egMQ4NQSYEYDYM9PQFqyoSOkIijfyc0333wDU1NTtGzZEvPmzcO8efNgbv70hUsLFixA+/bt9RIkERGVcKU8gF5/AoO3AeUbAmlJwM6vgd8bAeeC2R+HNOj8npu4uDjY2trC1NRUozw2Nha2trYaCU9RxPfcEBEVc5mZqoRm+yQg/r85Dat0AHrNAywd8t6Xii29zgru4OCgldgAgKOjY5FPbIiIyAiYmAB1e6seVbWeoOqPc2kLMO814N5FQ0dHRYDOyQ0REVGRYG4NtPwUeD8EsHcHHlxWJTgRm5+/LxWohNQExCTl3Mk7JikGCakJhRoPkxsiIireytUH/rcb8GymejfO328DoT+qHl+R3iWkJsB/uz8GhQzSSnBikmIwKGQQ/Lf7F2qCw+SGiIiKP9uyQP91qtnFAWDXt8DKfkBK4bYYlERJaUmITY7FzcSbGglOVmJzM/EmYpNjkZSWVGgxMbkhIiLjYKoEuvwEdP8NMDUHLmwE/mwLPLhi6MiMmquNK4I6BsHd1l2d4Jy6e0qd2LjbuiOoYxBcbVwLLSbOCk5ERMbnxlFgxXtAYoxqBFWvBUCVtoaOyqhlb6nJUpCJjV5HSxERERV5Ho2AD0MB98bAkzhgWW/VJJwl6+/5QuVq44rAFpoTaAe2CCzUFpssTG6IiMg42bkCAzcCDfqrZhrfPglY9T6QWnh9P0qSmKQYBOwN0CgL2BuQ6ygqfWJyQ0RExsvMAug2A+gyDTAxA86vBuZ3AB5eN3RkRiX7Iyl3W3cs7rRYow9OYSc4TG6IiMi4KRRAow+AARsAm7LAnbOqCTivhho6MqPwbGIT1DEI9ZzraXUyLswEh8kNERGVDJ5NVe/DcasHJMcCi3sCB2exH85LslHawNHKUavzcPZRVI5WjrBR2hRaTBwtRUREJUtaMrDhY+DMctW6zztA118ApZVBwyrOElITkJSWlGPn4ZikGNgobWBnbvdS5+BoKSIiotworYCec4CO3wMKU+D030BQJyDu5vP3pRzZmdvlOirK1cb1pRMbXRk0udmzZw+6deuGcuXKQaFQYO3atc/dJzQ0FL6+vrC0tETFihUxZ84c/QdKRETGRaEAmnwE9FsNWDkCt0+q+uFcP2DoyKgAGDS5SUpKgo+PD37//fd81Y+MjETnzp3RokULnDx5Ep9//jlGjhyJ4OBgPUdKRERGqWIr4H+7AJc6QNI94K9uwNE/2Q+nmCsyfW4UCgXWrFmDHj165Fpn/PjxWL9+PcLDw9Vl/v7+OH36NA4ePJiv87DPDRERaUlNAtYNVw0VB1Tvxun8k2ooORUJRtvn5uDBg2jfvr1GWYcOHXDs2DGkpaXluE9KSgri4+M1FiIiIg3mNsCbC4C2UwAogBOLgIVdgPhoQ0dGL6BYJTcxMTFwcXHRKHNxcUF6ejru37+f4z6BgYFwcHBQLx4eHoURKhERFTcKBdD8Y6DvKtV8VDePqvrh3Dhq6MhIR8UquQFUj6+yy3qq9mx5loCAAMTFxamXGzdu6D1GIiIqxqq0BYbsAsrWUE28ubAzcGKxoaMiHRSr5MbV1RUxMZpvOLx79y7MzMxQpkyZHPexsLCAvb29xkJERJSnMpWAD7YB1bsCGanA+uHAv2OBjJy7QFDRUqySGz8/P2zbtk2jbOvWrWjYsCGUSqWBoiIiIqNkYQe8tRhoPUG1fnQesOh1IPGeYeOi5zJocpOYmIhTp07h1KlTAFRDvU+dOoWoqCgAqkdK/fv3V9f39/fH9evXMWbMGISHh2PBggWYP38+xo4da4jwiYjI2JmYAC0/Bd7+GzC3A67vV/XDuX3S0JFRHgya3Bw7dgz169dH/fr1AQBjxoxB/fr18eWXXwIAoqOj1YkOAHh7e2PTpk3YvXs36tWrh6+//hozZsxAr169DBI/ERGVENU7A0N2AmUqA/E3gQUdgdMrDB0V5aLIvOemsPA9N0RE9MKexAHBQ4BLW1TrfsNVw8dNzQwbVwlgtO+5ISIiMihLB+Cd5UCL/7pDHPwdWPIG8DjWsHGRBiY3REREujAxAdpMBHr/BShtgMhQYG5LIOasoSOj/zC5ISIiehG1eqiGi5f2Ah5FAfPbA+dWGzoqApMbIiKiF+dSS/XCv4qtgbTHwKpBwPbJQGaGoSMr0ZjcEBERvQxrR9WUDU1Hqtb3/QIsewtIfmjYuEowJjdEREQvy9QMaP810Gs+YGYFXN4OzHsNuHvB0JGVSExuiIiICkqdN4HBWwAHDyD2KvBnGyB8o6GjKnGY3BARERUkNx/gf7sBrxZAaiKwoi+wKxDIzDR0ZCUGkxsiIqKCZuME9FsDvPKRaj30e1WS8yTesHGVEExuiIiI9MFUCXT6Hnh9FmBqAURsAv5sC9y/bOjIjB6TGyIiIn2q3xcYtBmwKwfcj1B1NL641dBRGTUmN0RERPrm7qvqh+PxCpASpxoqvncaULKmdyw0nOkrFxkZGUhLSzN0GEQGZ25uDhMT/h1E9NLsXIABG4HNnwLHg4AdXwHRp1WPrSxsDR2dUWFy8wwRQUxMDB49emToUIiKBBMTE3h7e8Pc3NzQoRAVf2bmQLfpgFtdYNOnQNg6VR+ct5cCjt6Gjs5oKERKVpvY86ZMj46OxqNHj+Ds7Axra2soFAoDRElUNGRmZuL27dtQKpWoUKECfx6IClLUIWBFPyDpLmBZCugdBFR6zdBRFVnP+/zOji032WRkZKgTmzJlyhg6HKIioWzZsrh9+zbS09OhVCoNHQ6R8ajQBPgwFFjxHnDrOLCkF9DpR6DxEENHVuzxQXo2WX1srK2tDRwJUdGR9TgqI4MTARIVOPtywMBNQL2+gGQCm8YCJ5cYOqpij8lNDtj0TvQUfx6I9ExpCbw+E2g6QrW+foSqLw69MCY3REREhqZQAO2+Bhr0V7XgBH8AXNlp6KiKLSY3RERERYFCAXSdDtTsAWSkAsv7AjeOGDqqYonJjZEYOHAgFAqFeilTpgw6duyIM2fOGDo0IiLKLxNT4I15QKU2QNpjYOmbQMw5Q0dV7DC5MSIdO3ZEdHQ0oqOjsWPHDpiZmaFr166GDouIiHRhZg70WQx4NAGexAGLewIPrhg6qmKFyc1ziAgep6YbZNH1FUQWFhZwdXWFq6sr6tWrh/Hjx+PGjRu4d+8eAGD8+PGoWrUqrK2tUbFiRUycOFHjLcynT59G69atYWdnB3t7e/j6+uLYsWPq7QcOHMCrr74KKysreHh4YOTIkUhKSiqYG01ERE+Z2wDvrgBc6qjeg7OoBxB3y9BRFRt8z81zJKdloOaXWwxy7rCvOsDa/MW+RImJiVi6dCkqV66sfmePnZ0dFi5ciHLlyuHs2bMYMmQI7Ozs8OmnnwIA+vbti/r162P27NkwNTXFqVOn1O81OXv2LDp06ICvv/4a8+fPx7179zB8+HAMHz4cQUFBBXPBRET0lFUpoN9qYEFHIPaKqgVn0GbAhu9hex6+oTibJ0+eIDIyEt7e3rC0tAQAPE5NLxbJzcCBA7FkyRJ13ElJSXBzc8PGjRvRoEGDHPeZOnUqVqxYoW6dsbe3x2+//YYBAwZo1e3fvz+srKzwxx9/qMv27duHli1bIikpSX1eMj45/VwQUSF6dANY0AGIvwW41QMGbAAs835DrzHiG4oLkJXSFGFfdTDYuXXRunVrzJ49GwAQGxuLWbNmoVOnTjhy5Ag8PT2xatUqTJ8+HZcvX0ZiYiLS09M1vkHGjBmDDz74AIsXL0bbtm3Ru3dvVKpUCQBw/PhxXL58GUuXLlXXFxFkZmYiMjISNWrUKIArJiIiLaU8gH5rgaCOQPQp4O93gPdWAUorQ0dWZDG5eQ6FQvHCj4YKm42NDSpXrqxe9/X1hYODA+bNm4euXbvi7bffxpQpU9ChQwc4ODhg+fLlmDZtmrr+5MmT8e677+Lff//F5s2bMWnSJCxfvhw9e/ZEZmYmPvzwQ4wcOVLrvBUqVCiU6yMiKrHKVgXeWw381Q24vg/4ZyDQZwlgyilRclI8PrXphSgUCpiYmCA5ORn79++Hp6cnJkyYoN5+/fp1rX2qVq2KqlWrYvTo0XjnnXcQFBSEnj17okGDBjh//rxG8kRERIWoXD3gneXAkjeAiyHA2o+AnnMBE44NehbviBFJSUlBTEwMYmJiEB4ejhEjRiAxMRHdunVD5cqVERUVheXLl+PKlSuYMWMG1qxZo943OTkZw4cPx+7du3H9+nXs378fR48eVT9uGj9+PA4ePIhhw4bh1KlTuHTpEtavX48RI0YY6nKJiEoer2bAW4sBEzPg7D/A5nFAyeo6my9suTEiISEhcHNzA6AaGVW9enX8888/aNWqFQBg9OjRGD58OFJSUtClSxdMnDgRkydPBgCYmpriwYMH6N+/P+7cuQMnJye88cYbmDJlCgCgbt26CA0NxYQJE9CiRQuICCpVqoQ+ffoY4lKJiEququ2Bnn+opmg4+idg6QC0+dLQURUpHC2VDUeFEGnjzwVREXUsCNj4ser/7b4Gmmn3iTQmuoyW4mMpIiKi4qjhIKDtZNX/t00Ejv9l0HCKEiY3RERExVXz0UCzj1X/3zAKOL8mz+olBZMbIiKi4qztZMB3EAABgocAl7YbOiKDY3JDRERUnCkUQJdpQK03gMw0YMV7QNQhQ0dlUAZPbmbNmqXuqOjr64u9e/fmWnf37t1QKBRay4ULFwoxYiIioiLGxFQ1gqpKeyA9GVj6FhB9xtBRGYxBk5sVK1bg448/xoQJE3Dy5Em0aNECnTp1QlRUVJ77RUREIDo6Wr1UqVKlkCImIiIqoszMgd5/ARWaAilxqok27182dFQGYdDk5ueff8bgwYPxwQcfoEaNGpg+fTo8PDzU8yPlxtnZGa6ururF1FS3OZiIiIiMkrk18O5ywM0HeHwfWPQ6EHfT0FEVOoMlN6mpqTh+/Djat2+vUd6+fXscOHAgz33r168PNzc3tGnTBrt27cqzbkpKCuLj4zUWIiIio2XpoJqHqkwVIP4msKgHkHjP0FEVKoMlN/fv30dGRgZcXFw0yl1cXBATE5PjPm5ubpg7dy6Cg4OxevVqVKtWDW3atMGePXtyPU9gYCAcHBzUi4eHR4FeB1Fhyepz9ujRI0OHQkRFnY0T0H8t4OABPLikmo/qSZyhoyo0Bu9QrFAoNNZFRKssS7Vq1TBkyBA0aNAAfn5+mDVrFrp06YKffvop1+MHBAQgLi5Ovdy4caNA4y9KYmJiMGLECFSsWBEWFhbw8PBAt27dsGPHDkOHZlCTJ09Wdz43MzODk5MTXn31VUyfPh0pKSmGDs+grl27BoVCgVOnThk6FCIqaA7uQL+1gE1ZIOYMsOxtIPWxoaMqFAZLbpycnGBqaqrVSnP37l2t1py8NGnSBJcuXcp1u4WFBezt7TUWY3Tt2jX4+vpi586d+PHHH3H27FmEhISgdevWGDZsmEFjS01NNej5AaBWrVqIjo5GVFQUdu3ahd69eyMwMBBNmzZFQkKCocMjItIPp8qqR1QWDkDUAWBlfyDd8L+T9c1gyY25uTl8fX2xbds2jfJt27ahadOm+T7OyZMn1ZNFlmRDhw6FQqHAkSNH8Oabb6Jq1aqoVasWxowZg0OHnr7vICoqCq+//jpsbW1hb2+Pt956C3fu3AGgGoWW09D6n3/+GV5eXsiahiwsLAydO3eGra0tXFxc0K9fP9y/f19dv1WrVhg+fDjGjBkDJycntGvXTn2cOnXqwMbGBh4eHhg6dCgSExM1zjVv3jx4eHjA2toaPXv2xM8//4xSpUpp1NmwYQN8fX1haWmJihUrYsqUKUhPT8/z/piZmcHV1RXlypVDnTp1MGLECISGhuLcuXP44Ycf1PVSU1Px6aefonz58rCxscErr7yC3bt3q7cvXLgQpUqVwtq1a1G1alVYWlqiXbt2Wi2Cz4tRoVDgzz//RM+ePWFtbY0qVapg/fr1GsfYtGkTqlatCisrK7Ru3RrXrl3Tuq4DBw7g1VdfhZWVFTw8PDBy5EgkJSWpt3t5eeG7777D+++/Dzs7O1SoUAFz585Vb/f29gag6semUCjUk6wSkRFxqwv0XQmYWQGXtwFrPgQyMwwdlX6JAS1fvlyUSqXMnz9fwsLC5OOPPxYbGxu5du2aiIh89tln0q9fP3X9X375RdasWSMXL16Uc+fOyWeffSYAJDg4ON/njIuLEwASFxentS05OVnCwsIkOTn5aWFmpkhKomGWzMx8XdODBw9EoVDId999l2e9zMxMqV+/vjRv3lyOHTsmhw4dkgYNGkjLli3VdXx9feWLL77Q2M/X11cCAgJEROT27dvi5OQkAQEBEh4eLidOnJB27dpJ69at1fVbtmwptra2Mm7cOLlw4YKEh4eLiOrrt3PnTrl69ars2LFDqlWrJh999JF6v3379omJiYlMnTpVIiIiZObMmeLo6CgODg7qOiEhIWJvby8LFy6UK1euyNatW8XLy0smT56c63VPmjRJfHx8ctz2+uuvS40aNdTr7777rjRt2lT27Nkjly9flqlTp4qFhYVcvHhRRESCgoJEqVRKw4YN5cCBA3Ls2DFp3LixNG3aVKcYAYi7u7ssW7ZMLl26JCNHjhRbW1t58OCBiIhERUWJhYWFjBo1Si5cuCBLliwRFxcXASAPHz4UEZEzZ86Ira2t/PLLL3Lx4kXZv3+/1K9fXwYOHKg+j6enpzg6OsrMmTPl0qVLEhgYKCYmJuqvyZEjRwSAbN++XaKjo9Xnzy7HnwsiKn4ubROZUkZkkr3I+pH5/owpKvL6/H6WQZMbEZGZM2eKp6enmJubS4MGDSQ0NFS9bcCAARofvD/88INUqlRJLC0tpXTp0tK8eXP5999/dTqfzslNSqLqG8EQS0pivq7p8OHDAkBWr16dZ72tW7eKqampREVFqcvOnz8vAOTIkSMiIvLzzz9LxYoV1dsjIiIEgJw/f15ERCZOnCjt27fXOO6NGzcEgERERIiIKrmpV6/ec+NeuXKllClTRr3ep08f6dKli0advn37aiQ3LVq00EriFi9eLG5ubrmeJ6/kZvz48WJlZSUiIpcvXxaFQiG3bt3SqNOmTRt1chcUFCQA5NChQ+rt4eHhAkAOHz6c7xgBaCSRiYmJolAoZPPmzSIiEhAQIDVq1JDMbL98xo8fr5Hc9OvXT/73v/9pnGfv3r1iYmKi/h729PSU9957T709MzNTnJ2dZfbs2SIiEhkZKQDk5MmTOd4fESY3REbl3GqRyaVUnzFbvzR0NDrRJbkxK/SmomcMHToUQ4cOzXHbwoULNdY//fRTfPrpp4UQVfEi/z0uyq0jdpbw8HB4eHhojBirWbMmSpUqhfDwcDRq1Ahvv/02xo0bh0OHDqFJkyZYunQp6tWrh5o1awIAjh8/jl27dsHW1lbr+FeuXEHVqlUBAA0bNtTavmvXLnz33XcICwtDfHw80tPT8eTJEyQlJcHGxgYRERHo2bOnxj6NGzfGxo0b1evHjx/H0aNH8e2336rLMjIy8OTJEzx+/BjW1tbPu10aJFsH9hMnTkBE1NeQJSUlBWXKlFGvm5mZaVxf9erV1fewcePG+Y6xbt266u02Njaws7PD3bt3Aai+Vk2aNNH4mvr5+WnEdfz4cVy+fBlLly7VuJ7MzExERkaiRo0aWudRKBRwdXVVn4eISphaPYEn8cCGkcD+6YBVKdXkm0bG4MlNkae0Bj6/bbhz50OVKlWgUCgQHh6OHj165FpPchmJlr3czc0NrVu3xrJly9CkSRP8/fff+PDDD9V1MzMz0a1bN41+Klmy932ysbHR2Hb9+nV07twZ/v7++Prrr+Ho6Ih9+/Zh8ODBSEtLyzW+rMQt+/mnTJmCN954Q+v8lpaWuV57bsLDw9X9TjIzM2Fqaorjx49rvRjy2WQup/uYVZbfGJVKpdb+mZmZALSvOyeZmZn48MMPMXLkSK1tFSpUyNd5iKgE8h2gGha+bSKwfbLqvTgN3zd0VAWKyc3zKBSAuc3z6xmQo6MjOnTogJkzZ2LkyJFaicWjR49QqlQp1KxZE1FRUbhx44a69SYsLAxxcXHqv/IBoG/fvhg/fjzeeecdXLlyBW+//bZ6W4MGDRAcHAwvLy+YmeX/2+fYsWNIT0/HtGnTYGKi6se+cuVKjTrVq1fHkSNHtPbLrkGDBoiIiEDlypXzfe7cXLhwASEhIQgICACg6lSbkZGBu3fvokWLFrnul56ejmPHjqFx48YAVB2xHz16hOrVqxdYjDVr1sTatWs1yrJ3DM86z/nz51/qPObm5gBULUtEVII0Gwk8eQTsnQZsHANY2AN13jR0VAXG4O+5oYIxa9YsZGRkoHHjxggODsalS5cQHh6OGTNmqB9ntG3bFnXr1kXfvn1x4sQJHDlyBP3790fLli01HrO88cYbiI+Px0cffYTWrVujfPny6m3Dhg1DbGws3nnnHRw5cgRXr17F1q1b8f777+f5AVmpUiWkp6fjt99+w9WrV7F48WLMmTNHo86IESOwadMm/Pzzz7h06RL++OMPbN68WaOV5Msvv8SiRYswefJknD9/HuHh4VixYgW++OKLPO9Peno6YmJicPv2bZw9exa//fYbWrZsiXr16mHcuHEAgKpVq6Jv377o378/Vq9ejcjISBw9ehQ//PADNm3apD6WUqnEiBEjcPjwYZw4cQKDBg1CkyZN1MnOi8aYnb+/P65cuYIxY8YgIiICy5Yt03pMO378eBw8eBDDhg3DqVOncOnSJaxfvx4jRozI93mcnZ1hZWWFkJAQ3LlzB3FxJeclX0Ql3msTgUYfABDVCKqLWwwdUcHRX9efoknnDsXFyO3bt2XYsGHqDtrly5eX7t27y65du9R1rl+/Lt27dxcbGxuxs7OT3r17S0xMjNaxevfuLQBkwYIFWtsuXrwoPXv2lFKlSomVlZVUr15dPv74Y3Xn15YtW8qoUaO09vv555/Fzc1NrKyspEOHDrJo0SKNDrIiInPnzpXy5cuLlZWV9OjRQ7755htxdXXVOE5ISIg0bdpUrKysxN7eXho3bixz587N9b5MmjRJAAgAMTU1FUdHR2nevLn88ssv8uTJE426qamp8uWXX4qXl5colUpxdXWVnj17ypkzZ0RE1aHYwcFBgoODpWLFimJubi6vvfaaeoRffmMEIGvWrNHYx8HBQYKCgtTrGzZskMqVK4uFhYW0aNFCFixYoHW/jhw5Iu3atRNbW1uxsbGRunXryrfffqve7unpKb/88ovGeXx8fGTSpEnq9Xnz5omHh4eYmJhodODPUtx/LogoDxkZIqs+UHUw/tpZJHKfoSPKlS4dihUi+Xi4b0Ti4+Ph4OCAuLg4rRf6PXnyBJGRkfD29n6h/htU8IYMGYILFy5g7969hg4FgKqT+8cff1yipkDgzwWRkctIA1b0Ay5uVj2eGrABKFfP0FFpyevz+1l8LEVFyk8//YTTp0/j8uXL+O233/DXX39hwIABhg6LiMh4mSqB3kGAZ3MgJV41D9W9i4aO6qUwuaEi5ciRI2jXrh3q1KmDOXPmYMaMGfjggw8MHRYRkXFTWgHv/A2Uqw88fgAs7gE8ijJ0VC+Mj6WyYfM7kTb+XBCVIEkPgKBOwP0IwLES8H4IYOts6KgA8LEUERERvQibMkD/tUCpCkDsFWDxG0DyI0NHpTMmN0RERPSUfTmg31rAxhm4cxZY9haQmvTc3YoSJjdERESkqUwloN8a1duLbxxWjaZKTzV0VPnG5IaIiIi0udYG+q5STQV0ZQewegiQWTzeZs7khoiIiHLm0Rh4eylgag6ErQU2jAKKwTgkJjdERESUu0qvAb3mAwoT4ORi1YSbRTzBYXJDREREeavZHej+m+r/B35TTbhZhDG5MRIDBw6EQqGAQqGAUqmEi4sL2rVrhwULFiAzM1Ndz8vLS10va3F3d8fkyZO1yp9drl27ZrgLJCIiw6r/HtAhUPX/nV8DR+YZNp48MLkxIh07dkR0dDSuXbuGzZs3o3Xr1hg1ahS6du2K9PR0db2vvvoK0dHR6uXkyZMYO3asRpm7u7tWPQ8PDwNeHRERGZzfUKDleNX/N40Fzqw0bDy5MDN0AMYmITUBSWlJcLVx1doWkxQDG6UN7Mzt9HJuCwsLuLqqzlu+fHk0aNAATZo0QZs2bbBw4UL1NAZ2dnbqetnZ2tqq/29qapprPSIiKsFaBahe7HfkD2CNP2BhB1TrZOioNLDlpgAlpCbAf7s/BoUMQkxSjMa2mKQYDAoZBP/t/khITSi0mF577TX4+Phg9erVhXZOIiIyYgoF0PF7wOcdQDKAlQOAyL2GjkoDk5sClJSWhNjkWNxMvKmR4GQlNjcTbyI2ORZJaYX7psfq1atr9JcZP348bG1t1cuMGTMKNR4iIirmTEyA7r8D1boAGSnA328Dt04YOio1JjcFyNXGFUEdg+Bu665OcE7dPaVObNxt3RHUMSjHR1b6JCJQKBTq9XHjxuHUqVPqpX///oUaDxERGQFTM+DNBYD3q0BqIrCkF3D3gqGjAsDkpsA9m+D029zPoIkNAISHh8Pb21u97uTkhMqVK6uXUqVKFXpMRERkBJSWwNvLgPK+QHIssLgH8PCaoaNicqMPrjauCGwRqFEW2CLQIInNzp07cfbsWfTq1avQz01ERCWAhZ1qmoayNYCEaGBRDyAh5rm76ROTGz2ISYpBwN4AjbKAvQFanYwLWkpKCmJiYnDr1i2cOHEC3333HV5//XV07dqVj56IiEh/rB1VE22W9gIeRgKL3wCSHxosHCY3BSx752F3W3cs7rRYow+OPhOckJAQuLm5wcvLCx07dsSuXbswY8YMrFu3Dqampno7LxEREezdgH5rAVtXwM5FNR+VgShEivgEEQUsPj4eDg4OiIuLg729vca2J0+eIDIyEt7e3rC0tNT52M8mNll9bHIrJyoOXvbngohKmNhIwL4cYGZRoIfN6/P7WWy5KUA2Shs4WjlqJTDZOxk7WjnCRmlj4EiJiIj0xNG7wBMbXfENxQXIztwOc9rOyfENxVkJjj7fUExERERMbgqcnbldrskLH0URERHpHx9LERERkVFhckNERERGhclNDkrYADKiPPHngYiKGyY32SiVSgDA48ePDRwJUdGRmpoKAHxXEhEVG+xQnI2pqSlKlSqFu3fvAgCsra01JpwkKmkyMzNx7949WFtbw8yMvy6IqHjgb6tnuLqqRjRlJThEJZ2JiQkqVKjARJ+Iig2DJzezZs3C1KlTER0djVq1amH69Olo0aJFrvVDQ0MxZswYnD9/HuXKlcOnn34Kf3//AotHoVDAzc0Nzs7OSEtLK7DjEhVX5ubmMDHhE2wiKj4MmtysWLECH3/8MWbNmoVmzZrhjz/+QKdOnRAWFoYKFSpo1Y+MjETnzp0xZMgQLFmyBPv378fQoUNRtmzZAp/12tTUlH0MiIiIiiGDzi31yiuvoEGDBpg9e7a6rEaNGujRowcCAwO16o8fPx7r169HeHi4uszf3x+nT5/GwYMH83VOXeamICIioqKhWMwtlZqaiuPHj6N9+/Ya5e3bt8eBAwdy3OfgwYNa9Tt06IBjx47xERIREREBMOBjqfv37yMjIwMuLi4a5S4uLoiJiclxn5iYmBzrp6en4/79+3Bzc9PaJyUlBSkpKer1+Pj4AoieiIiIiiqDdyh+dgSGiOQ5KiOn+jmVZwkMDMSUKVO0ypnkEBERFR9Zn9v56U1jsOTGyckJpqamWq00d+/e1WqdyeLq6ppjfTMzM5QpUybHfQICAjBmzBj1+q1bt1CzZk14eHi85BUQERFRYUtISICDg0OedQyW3Jibm8PX1xfbtm1Dz5491eXbtm3D66+/nuM+fn5+2LBhg0bZ1q1b0bBhQ/XbhZ9lYWEBCwsL9bqtrS1u3LgBOzu7An9vR3x8PDw8PHDjxg12VtYj3ufCwftcOHifCw/vdeHQ130WESQkJKBcuXLPrWvQx1JjxoxBv3790LBhQ/j5+WHu3LmIiopSv7cmICAAt27dwqJFiwCoRkb9/vvvGDNmDIYMGYKDBw9i/vz5+Pvvv/N9ThMTE7i7u+vlerLY29vzB6cQ8D4XDt7nwsH7XHh4rwuHPu7z81psshg0uenTpw8ePHiAr776CtHR0ahduzY2bdoET09PAEB0dDSioqLU9b29vbFp0yaMHj0aM2fORLly5TBjxowCf8cNERERFV8Gfc+NseE7dAoH73Ph4H0uHLzPhYf3unAUhfvMd6oXIAsLC0yaNEmjjw8VPN7nwsH7XDh4nwsP73XhKAr3mS03REREZFTYckNERERGhckNERERGRUmN0RERGRUmNwQERGRUWFyo6NZs2bB29sblpaW8PX1xd69e/OsHxoaCl9fX1haWqJixYqYM2dOIUVavOlyn1evXo127dqhbNmysLe3h5+fH7Zs2VKI0RZfun4/Z9m/fz/MzMxQr149/QZoJHS9zykpKZgwYQI8PT1hYWGBSpUqYcGCBYUUbfGl631eunQpfHx8YG1tDTc3NwwaNAgPHjwopGiLpz179qBbt24oV64cFAoF1q5d+9x9DPI5KJRvy5cvF6VSKfPmzZOwsDAZNWqU2NjYyPXr13Osf/XqVbG2tpZRo0ZJWFiYzJs3T5RKpaxataqQIy9edL3Po0aNkh9++EGOHDkiFy9elICAAFEqlXLixIlCjrx40fU+Z3n06JFUrFhR2rdvLz4+PoUTbDH2Ive5e/fu8sorr8i2bdskMjJSDh8+LPv37y/EqIsfXe/z3r17xcTERH799Ve5evWq7N27V2rVqiU9evQo5MiLl02bNsmECRMkODhYAMiaNWvyrG+oz0EmNzpo3Lix+Pv7a5RVr15dPvvssxzrf/rpp1K9enWNsg8//FCaNGmitxiNga73OSc1a9aUKVOmFHRoRuVF73OfPn3kiy++kEmTJjG5yQdd7/PmzZvFwcFBHjx4UBjhGQ1d7/PUqVOlYsWKGmUzZswQd3d3vcVobPKT3Bjqc5CPpfIpNTUVx48fR/v27TXK27dvjwMHDuS4z8GDB7Xqd+jQAceOHUNaWpreYi3OXuQ+PyszMxMJCQlwdHTUR4hG4UXvc1BQEK5cuYJJkybpO0Sj8CL3ef369WjYsCF+/PFHlC9fHlWrVsXYsWORnJxcGCEXSy9yn5s2bYqbN29i06ZNEBHcuXMHq1atQpcuXQoj5BLDUJ+DBp1bqji5f/8+MjIy4OLiolHu4uKCmJiYHPeJiYnJsX56ejru378PNzc3vcVbXL3IfX7WtGnTkJSUhLfeeksfIRqFF7nPly5dwmeffYa9e/fCzIy/OvLjRe7z1atXsW/fPlhaWmLNmjW4f/8+hg4ditjYWPa7ycWL3OemTZti6dKl6NOnD548eYL09HR0794dv/32W2GEXGIY6nOQLTc6UigUGusiolX2vPo5lZMmXe9zlr///huTJ0/GihUr4OzsrK/wjEZ+73NGRgbeffddTJkyBVWrVi2s8IyGLt/PmZmZUCgUWLp0KRo3bozOnTvj559/xsKFC9l68xy63OewsDCMHDkSX375JY4fP46QkBBERkbC39+/MEItUQzxOcg/v/LJyckJpqamWn8F3L17VysrzeLq6ppjfTMzM5QpU0ZvsRZnL3Kfs6xYsQKDBw/GP//8g7Zt2+ozzGJP1/uckJCAY8eO4eTJkxg+fDgA1YewiMDMzAxbt27Fa6+9ViixFycv8v3s5uaG8uXLw8HBQV1Wo0YNiAhu3ryJKlWq6DXm4uhF7nNgYCCaNWuGcePGAQDq1q0LGxsbtGjRAt988w1b1guIoT4H2XKTT+bm5vD19cW2bds0yrdt24amTZvmuI+fn59W/a1bt6Jhw4ZQKpV6i7U4e5H7DKhabAYOHIhly5bxmXk+6Hqf7e3tcfbsWZw6dUq9+Pv7o1q1ajh16hReeeWVwgq9WHmR7+dmzZrh9u3bSExMVJddvHgRJiYmcHd312u8xdWL3OfHjx/DxETzI9DU1BTA05YFenkG+xzUa3dlI5M11HD+/PkSFhYmH3/8sdjY2Mi1a9dEROSzzz6Tfv36qetnDYEbPXq0hIWFyfz58zkUPB90vc/Lli0TMzMzmTlzpkRHR6uXR48eGeoSigVd7/OzOFoqf3S9zwkJCeLu7i5vvvmmnD9/XkJDQ6VKlSrywQcfGOoSigVd73NQUJCYmZnJrFmz5MqVK7Jv3z5p2LChNG7c2FCXUCwkJCTIyZMn5eTJkwJAfv75Zzl58qR6yH1R+RxkcqOjmTNniqenp5ibm0uDBg0kNDRUvW3AgAHSsmVLjfq7d++W+vXri7m5uXh5ecns2bMLOeLiSZf73LJlSwGgtQwYMKDwAy9mdP1+zo7JTf7pep/Dw8Olbdu2YmVlJe7u7jJmzBh5/PhxIUdd/Oh6n2fMmCE1a9YUKysrcXNzk759+8rNmzcLOeriZdeuXXn+vi0qn4MKEba/ERERkfFgnxsiIiIyKkxuiIiIyKgwuSEiIiKjwuSGiIiIjAqTGyIiIjIqTG6IiIjIqDC5ISIiIqPC5IaIKB8uXLiAJk2awNLSEvXq1TN0OESUByY3RCVITEwMRowYgYoVK8LCwgIeHh7o1q0bduzYYejQirxJkybBxsYGEREROd6vjIwMNG3aFL169dIoj4uLg4eHB7744gt1WXBwMFq1agUHBwfY2tqibt26+OqrrxAbG6uuk5ycjEmTJqFatWqwsLCAk5MT3nzzTZw/f15/F0lkJJjcEJUQ165dg6+vL3bu3Ikff/wRZ8+eRUhICFq3bo1hw4YZNLbU1FSDnj8/rly5gubNm8PT0zPH2YxNTU3x119/ISQkBEuXLlWXjxgxAo6Ojvjyyy8BABMmTECfPn3QqFEjbN68GefOncO0adNw+vRpLF68GACQkpKCtm3bYsGCBfj6669x8eJFbNq0CRkZGXjllVdw6NChwrloouJK7xM8EFGR0KlTJylfvrwkJiZqbXv48KH6/9evX5fu3buLjY2N2NnZSe/evSUmJkZERC5cuCAAJDw8XGP/adOmiaenp2RmZoqIyPnz56VTp05iY2Mjzs7O8t5778m9e/fU9Vu2bCnDhg2T0aNHS5kyZeTVV19VH6d27dpibW0t7u7u8tFHH0lCQoLGuebOnSvu7u5iZWUlPXr0kGnTpomDg4NGnfXr10uDBg3EwsJCvL29ZfLkyZKWlpbrvcnIyJApU6ZI+fLlxdzcXHx8fGTz5s3q7XhmHp1Jkybleqxff/1VSpcuLbdu3ZK1a9eKUqmUkydPiojI4cOHBYBMnz49x32zvg7ff/+9KBQKOXXqlFacDRs2lJo1a6rvNRFpY3JDVAI8ePBAFAqFfPfdd3nWy8zMlPr160vz5s3l2LFjcujQIWnQoIHGRHi+vr7yxRdfaOzn6+srAQEBIiJy+/ZtcXJykoCAAAkPD5cTJ05Iu3btpHXr1ur6LVu2FFtbWxk3bpxcuHBBnSz98ssvsnPnTrl69ars2LFDqlWrJh999JF6v3379omJiYlMnTpVIiIiZObMmeLo6KiR3ISEhIi9vb0sXLhQrly5Ilu3bhUvLy+ZPHlyrtf9888/i729vfz9999y4cIF+fTTT0WpVMrFixdFRCQ6Olpq1aoln3zyiURHR2slXM/ew1atWkmbNm3E2dlZvv76a/W2kSNHiq2traSmpubxVRCpW7eutG/fPsdtS5cuFQDqhImItDG5ISoBsloMVq9enWe9rVu3iqmpqURFRanLzp8/LwDkyJEjIqJKBCpWrKjeHhERIQDk/PnzIiIyceJErQ/mGzduCACJiIgQEVVyU69evefGvXLlSilTpox6vU+fPtKlSxeNOn379tVIblq0aKGVxC1evFjc3NxyPU+5cuXk22+/1Shr1KiRDB06VL3u4+OTZ4tNduHh4QJA6tSpo9Fi1KlTJ6lbt+5z97e0tJRRo0bluO3EiRMCQFasWJGvWIhKIva5ISoBRAQAoFAo8qwXHh4ODw8PeHh4qMtq1qyJUqVKITw8HADw9ttv4/r16+p+H0uXLkW9evVQs2ZNAMDx48exa9cu2Nraqpfq1asDUPVbydKwYUOt8+/atQvt2rVD+fLlYWdnh/79++PBgwdISkoCAERERKBx48Ya+zy7fvz4cXz11Vca5x8yZAiio6Px+PFjrXPGx8fj9u3baNasmUZ5s2bN1NesqwULFsDa2hqRkZG4efOmulxEnvs1eJ78fi2JSjImN0QlQJUqVaBQKJ77YZ3bh2/2cjc3N7Ru3RrLli0DAPz9999477331HUzMzPRrVs3nDp1SmO5dOkSXn31VXU9GxsbjXNcv34dnTt3Ru3atREcHIzjx49j5syZAIC0tLRc48v6sM9+/ilTpmic++zZs7h06RIsLS1zvfacjvsiCcTBgwfxyy+/YN26dfDz88PgwYPVMVatWhVXrlxRX09uqlatirCwsBy3XbhwAYDqa0pEOWNyQ1QCODo6okOHDpg5c6a6FSS7R48eAVC10kRFReHGjRvqbWFhYYiLi0ONGjXUZX379sWKFStw8OBBXLlyBW+//bZ6W4MGDXD+/Hl4eXmhcuXKGsuzCU12x44dQ3p6OqZNm4YmTZqgatWquH37tkad6tWr48iRI1r7ZdegQQNERERonbty5cowMdH+lWdvb49y5cph3759GuUHDhzQuOb8SE5OxoABA/Dhhx+ibdu2+PPPP3H06FH88ccfAIB3330XiYmJmDVrVo77Z30d3n77bWzfvh2nT5/W2J6ZmYlffvkFNWvWhI+Pj06xEZUoBnsgRkSF6urVq+Lq6io1a9aUVatWycWLFyUsLEx+/fVXqV69uog87VDcokULOX78uBw+fFh8fX01OhSLiMTFxYmlpaX4+PhImzZtNLbdunVLypYtK2+++aYcPnxYrly5Ilu2bJFBgwZJenq6iKj63Dzbp+TkyZPqkURXrlyRRYsWSfny5QWAehRRVofiadOmycWLF2XOnDlSpkwZKVWqlPo4ISEhYmZmJpMmTZJz585JWFiYLF++XCZMmJDrvfnll1/E3t5eli9fLhcuXJDx48drdCgWyV+fm5EjR0qlSpU0RqTNnTtXbG1tJTIyUkREPv30UzE1NZVx48bJgQMH5Nq1a7J9+3Z588031aOokpOT5ZVXXhEPDw9ZuXKlXL9+XY4cOSI9evQQGxsbOXjwYJ5xEJV0TG6ISpDbt2/LsGHDxNPTU8zNzaV8+fLSvXt32bVrl7pOXkPBs+vdu7cAkAULFmhtu3jxovTs2VNKlSolVlZWUr16dfn444/Vw5dzSm5EVJ2V3dzcxMrKSjp06CCLFi3SSG5EVMlC+fLl1UPBv/nmG3F1ddU4TkhIiDRt2lSsrKzE3t5eGjduLHPnzs31vmQfCq5UKrWGgos8P7nZvXu3mJqayt69e7W2tW/fXl577TX19a9YsUJeffVVsbOzExsbG6lbt6589dVXGteZlJQkX3zxhVSuXFmUSqU4OjpKr1695OzZs7nGQEQqCpFnHlgTERUjQ4YMwYULF7B3715Dh0JERYSZoQMgItLFTz/9hHbt2sHGxgabN2/GX3/9lWsfFiIqmdhyQ0TFyltvvYXdu3cjISEBFStWxIgRI+Dv72/osIioCGFyQ0REREaFQ8GJiIjIqDC5ISIiIqPC5IaIiIiMCpMbIiIiMipMboiIiMioMLkhIiIio8LkhoiIiIwKkxsiIiIyKkxuiIiIyKj8H6MyPHQ7Wx1qAAAAAElFTkSuQmCC", + "image/png": 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", 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" ] @@ -3610,7 +6661,7 @@ } ], "source": [ - "plt.plot(coverages, entropies_base, label='Base', color=colors[0])\n", + "plt.plot(coverages, entropies_base, label='Baseline', color=colors[0])\n", "plt.plot(coverages, entropies_cov_dep, label='Coverage Dependent', color=colors[1])\n", "\n", "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n", @@ -3630,26 +6681,97 @@ "plt.legend()\n" ] }, + { + "cell_type": "markdown", + "id": "adff59e6-071b-4d3b-8ae7-88f6df1f2be9", + "metadata": {}, + "source": [ + "## When you subtract the difference in entropy from the Bae and Badger thermo at the low-coverage limit, the entropy matches the DFT" + ] + }, + { + "cell_type": "markdown", + "id": "bceeb421-a936-49d6-a344-dea45ca78e3b", + "metadata": {}, + "source": [ + "### Get the entropy offset between Bae and Badger at the low-coverage limit" + ] + }, { "cell_type": "code", - "execution_count": null, - "id": "06312712", + "execution_count": 8, + "id": "cc012baf-9d02-49df-a7b2-38feab57a693", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "phase_bae = ct.Interface('example_data/covdepsurf.yaml', 'covdep_poly')\n", + "phase_bae.TP = 300, ct.one_atm\n", + "i_XCO_bae = get_i_thing({'Pt': 1, 'C': 1, 'O': 1}, phase_bae)\n", + "phase_bae.standard_entropies_R[i_XCO_bae]\n", + "entropy_offset = phase_bae.standard_entropies_R[i_XCO_bae] - entropies_cov_dep[0]" + ] + }, + { + "cell_type": "markdown", + "id": "72aa3d9b-781b-4f1f-abd0-1cbc4a790318", + "metadata": {}, + "source": [ + "### After applying offset, the entropy matches the DFT" + ] }, { "cell_type": "code", - "execution_count": null, - "id": "a846327b", + "execution_count": 9, + "id": "06312712", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(coverages, entropies_base, label='Baseline', color=colors[0])\n", + "plt.plot(coverages, entropies_cov_dep, label='Coverage Dependent', color=colors[1])\n", + "plt.plot(coverages, entropies_cov_dep + entropy_offset, label='Coverage Dependent + Entropy Offset', color=colors[1], linestyle='dashed')\n", + "\n", + "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n", + "# provide discrete enthalpy and entropy values calculated with DFT\n", + "# array of CO* coverage\n", + "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n", + "\n", + "# array of nondimensionalized DFT-derived CO* entropy values\n", + "dft_srs = [2.46, 2.46, 3.79, 3.28, 3.14, 2.41, 2.19, 1.63, 1.6 , 1.12]\n", + "\n", + "plt.scatter(dft_covs, dft_srs, label='DFT', color=colors[2], marker='x')\n", + "\n", + "\n", + "plt.xlabel('Coverage of XCO')\n", + "plt.ylabel('Standard Entropy / R')\n", + "plt.title('Standard Entropy of XCO vs Coverage')\n", + "plt.legend()" + ] } ], "metadata": { "kernelspec": { - "display_name": "rmg_env", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, From e196788248e7300191cb8efb9b45831ee8f2ad3c Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 11:03:38 -0400 Subject: [PATCH 318/700] update temperature-dependent solvation notebook --- ...ture_dependent_solvation_free_energy.ipynb | 41 +++++++++++++------ rmgpy/data/solvation.py | 6 ++- 2 files changed, 33 insertions(+), 14 deletions(-) diff --git a/ipython/temperature_dependent_solvation_free_energy.ipynb b/ipython/temperature_dependent_solvation_free_energy.ipynb index 37a92b7e121..bfc8cb43846 100644 --- a/ipython/temperature_dependent_solvation_free_energy.ipynb +++ b/ipython/temperature_dependent_solvation_free_energy.ipynb @@ -94,6 +94,15 @@ "## Run solvation calculations" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -105,10 +114,10 @@ "solute_data = solvationDatabase.get_solute_data(solute)\n", "solvent_data = solvationDatabase.get_solvent_data(solvent_name)\n", "\n", - "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2) and solvation free energy:\\n')\n", + "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2), solvation free energy, and Henry\\'s law constant:\\n')\n", "for T in temperature:\n", - " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T) # dGsolv is J/mol\n", - " print(' At {0} K, K-factor = {1:.3f}, solvation free energy = {2:.2f} kJ/mol'.format(T, Kfactor, dGsolv/1000))" + " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T) # dGsolv is J/mol\n", + " print(f' At {T} K, K-factor = {Kfactor:.3f}, solvation free energy = {dGsolv/1000:.2f} kJ/mol, kH = {kH:.2f}')" ] }, { @@ -164,11 +173,11 @@ "solvent_data = solvationDatabase.get_solvent_data(solvent_name)\n", "solvent_name_in_CoolProp = solvent_data.name_in_coolprop\n", "\n", - "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2) and solvation free energy:\\n')\n", + "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2), solvation free energy, and Henry\\'s law constant:\\n')\n", "for T in temperature:\n", - " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_input_298(\n", + " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_input_298(\n", " dGsolv298, dHsolv298, dSsolv298, solvent_name_in_CoolProp, T) # dGsolv is J/mol\n", - " print(' At {0} K, K-factor = {1:.3f}, solvation free energy = {2:.2f} kJ/mol'.format(T, Kfactor, dGsolv/1000))" + " print(f' At {T} K, K-factor = {Kfactor:.3f}, solvation free energy = {dGsolv/1000:.2f} kJ/mol, kH = {kH:.2f}')" ] }, { @@ -198,14 +207,16 @@ "log_Kfactor_list = []\n", "log_KfactorPsat_list = []\n", "dGsolv_list = []\n", + "kH_list = []\n", "\n", "for T in temp_list:\n", - " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)\n", + " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)\n", " dGsolv = dGsolv / 1000 # convert to kJ/mol\n", " Psat = PropsSI('P', 'T', T, 'Q', 0, solvent_data.name_in_coolprop) # saturation pressure of the solvent, in Pa\n", " log_Kfactor_list.append(math.log(Kfactor))\n", " log_KfactorPsat_list.append(math.log(Kfactor*Psat*1e-6)) # in ln(1/MPa)\n", - " dGsolv_list.append(dGsolv)" + " dGsolv_list.append(dGsolv)\n", + " kH_list.append(kH)" ] }, { @@ -231,13 +242,19 @@ "plt.plot(temp_list, dGsolv_list)\n", "plt.title('Solvation Gibbs Free Energy', fontsize=20)\n", "ax.set_xlabel('Temperature (K)', fontsize = 16)\n", - "ax.set_ylabel('Solvation Energy (kJ/mol)', fontsize = 16)\n" + "ax.set_ylabel('Solvation Energy (kJ/mol)', fontsize = 16)\n", + "\n", + "ax = fig.add_subplot(2, 2, 4)\n", + "plt.plot(temp_list, kH_list)\n", + "plt.title('Henry\\'s Law Constant', fontsize=20)\n", + "ax.set_xlabel('Temperature (K)', fontsize = 16)\n", + "ax.set_ylabel('$k_H$', fontsize = 16)\n" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -251,9 +268,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.10" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py index b95f708f02a..bfa1fcb9661 100644 --- a/rmgpy/data/solvation.py +++ b/rmgpy/data/solvation.py @@ -2285,8 +2285,10 @@ def get_T_dep_solvation_energy_from_LSER_298(self, solute_data, solvent_data, T) Returns: delG (float): solvation free energy at the input temperature in J/mol. Kfactor (float): K-factor at the input temperature. K-factor is defined as a ratio of the mole fraction - of a solute in a gas-phase to the mole fraction of a solute in a liquid-phase at equilibrium. - + of a solute in a gas-phase to the mole fraction of a solute in a liquid-phase at equilibrium + kH (float): the Henry's law constant at the input temperature. kH is defined as the ratio of the pressure + of a solute in the gas-phase to the concentration of a solute in the liquid-phase at equilibrium. + Raises: DatabaseError: if `solute_data.name_in_coolprop` is None or `solute_data` has any missing Abarham or Mintz solvent parameters. From 487c42440d7a643f4f5b0001595e65e050e0e64a Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 11:31:00 -0400 Subject: [PATCH 319/700] initial changes to regression test example --- ipython/regression_test.ipynb | 17 +++++------------ rmgpy/tools/observablesregression.py | 16 ++++++++-------- 2 files changed, 13 insertions(+), 20 deletions(-) diff --git a/ipython/regression_test.ipynb b/ipython/regression_test.ipynb index b04c798c078..89490d75ad8 100644 --- a/ipython/regression_test.ipynb +++ b/ipython/regression_test.ipynb @@ -20,7 +20,7 @@ "metadata": {}, "outputs": [], "source": [ - "from rmgpy.tools.observablesRegression import ObservablesTestCase\n", + "from rmgpy.tools.observablesregression import ObservablesTestCase\n", "from IPython.display import display, Image\n", "from rmgpy.species import Species" ] @@ -93,20 +93,13 @@ " print('Plotting condition {0} comparison for species {1}'.format(condition_index, species_label))\n", " display(Image(filename=\"condition_{0}_species_{1}.png\".format(condition_index, species_label)))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -118,9 +111,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py index 17819bb14ea..af85ee8e07a 100644 --- a/rmgpy/tools/observablesregression.py +++ b/rmgpy/tools/observablesregression.py @@ -173,14 +173,14 @@ def __init__(self, title='', old_dir='', new_dir='', observables=None, expt_data self.old_sim.load_model() self.new_sim.load_model() else: - self.old_sim.load_chemkin_model(old_chemkin_path, - transport_file=old_transport_path, - surface_file=old_surface_chemkin_path, - quiet=True) - self.new_sim.load_chemkin_model(new_chemkin_path, - transport_file=new_transport_path, - surface_file=new_surface_chemkin_path, - quiet=True) + surface_args_old = {} + surface_args_new = {} + if surface: + surface_args_old["surface_file"] = old_surface_chemkin_path + surface_args_new["surface_file"] = new_surface_chemkin_path + + self.old_sim.load_chemkin_model(old_chemkin_path, old_transport_path, quiet=True, **common_args_old) + self.new_sim.load_chemkin_model(new_chemkin_path, new_transport_path, quiet=True, **common_args_new) def __str__(self): """ From 3d9a559686f2fbfe024af8095129c0176fbfdc09 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 11:58:35 -0400 Subject: [PATCH 320/700] update kinetic mechanism analyzer --- ipython/mechanism_analyzer.ipynb | 19 ++++++------------- 1 file changed, 6 insertions(+), 13 deletions(-) diff --git a/ipython/mechanism_analyzer.ipynb b/ipython/mechanism_analyzer.ipynb index f59f25aca60..1f37cad6d0d 100644 --- a/ipython/mechanism_analyzer.ipynb +++ b/ipython/mechanism_analyzer.ipynb @@ -62,7 +62,7 @@ "ckcsv_path= os.path.join(mech_path, 'CKSoln.ckcsv')\n", "\n", "model = CoreEdgeReactionModel()\n", - "model.core.species, model.core.reactions = load_chemkin_file(chemkin_path, dictionary_path)" + "model.core.species, model.core.reactions = load_chemkin_file(chemkin_path, dictionary_path, use_chemkin_names = True)" ] }, { @@ -218,7 +218,7 @@ "source": [ "## [user input] Functionality 1: find most dominant species at the investigated time point\n", "\n", - "Pleae specify\n", + "Please specify\n", "\n", "- dominant_list: If you want to visualize the first top 10 dominant species, specify the list as [0, 9]. If you want to visualize from the 5th most dominant species to the 10th most dominant species, specify the list as [4, 9].\n" ] @@ -820,20 +820,13 @@ "else:\n", " print(\"TOTAL flux from h_abs and disp is {0:.3E} mole/cm3/s.\".format(total_flux))\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -845,9 +838,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } From 41020ac38617c0fe244392a5da22955ba2d781f4 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 12:01:41 -0400 Subject: [PATCH 321/700] fix typo in observablesregression fix --- rmgpy/tools/observablesregression.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py index af85ee8e07a..45e05b5460c 100644 --- a/rmgpy/tools/observablesregression.py +++ b/rmgpy/tools/observablesregression.py @@ -179,8 +179,8 @@ def __init__(self, title='', old_dir='', new_dir='', observables=None, expt_data surface_args_old["surface_file"] = old_surface_chemkin_path surface_args_new["surface_file"] = new_surface_chemkin_path - self.old_sim.load_chemkin_model(old_chemkin_path, old_transport_path, quiet=True, **common_args_old) - self.new_sim.load_chemkin_model(new_chemkin_path, new_transport_path, quiet=True, **common_args_new) + self.old_sim.load_chemkin_model(old_chemkin_path, old_transport_path, quiet=True, **surface_args_old) + self.new_sim.load_chemkin_model(new_chemkin_path, new_transport_path, quiet=True, **surface_args_new) def __str__(self): """ From 5d8e03b1eb92a0fa9c84fc84ffe9a4affa3b7fcb Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 13:25:57 -0400 Subject: [PATCH 322/700] update cantera sensitivity comparison --- ipython/cantera_sensitivity_comparison.ipynb | 247 ++----------------- 1 file changed, 18 insertions(+), 229 deletions(-) diff --git a/ipython/cantera_sensitivity_comparison.ipynb b/ipython/cantera_sensitivity_comparison.ipynb index c89b386983f..4cb8cabe6c9 100644 --- a/ipython/cantera_sensitivity_comparison.ipynb +++ b/ipython/cantera_sensitivity_comparison.ipynb @@ -13,17 +13,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2.4.0\n" - ] - } - ], + "outputs": [], "source": [ "import cantera\n", "print(cantera.__version__) # Check Cantera version" @@ -31,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -95,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -111,67 +103,14 @@ "#job.load_chemkin_model('data/ethane_model/chem_annotated.inp',transport_file='data/ethane_model/tran.dat')\n", "\n", "# Generate the conditions based on the settings we declared earlier\n", - "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist, Plist)" + "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist=Tlist, Plist=Plist)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cantera simulation is: \n", - "Cantera Simulation: Condition 1 Species Mole Fractions\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cantera Simulation: Condition 1 Ethane Reaction Sensitivity\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cantera Simulation: Condition 1 Ethane Thermo Sensitivity\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Simulate and plot\n", "alldata = job.simulate()\n", @@ -192,84 +131,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading input file \"/Users/kevin/Documents/Green_Lab/RMG/RMG-Py/ipython/temp/input.py\"...\n", - "# Data sources\n", - "database(\n", - " thermoLibraries = ['DFT_QCI_thermo', 'primaryThermoLibrary'],\n", - " reactionLibraries = [],\n", - " seedMechanisms = [],\n", - " kineticsDepositories = ['training'],\n", - " kineticsFamilies = 'default',\n", - " kineticsEstimator = 'rate rules',\n", - ")\n", - "\n", - "generatedSpeciesConstraints(\n", - " allowed=['input species','seed mechanisms','reaction libraries'],\n", - " maximumRadicalElectrons = 2,\n", - " maximumCarbonAtoms = 10,\n", - ")\n", - "\n", - "# List of species\n", - "species(\n", - " label='ethane',\n", - " reactive=True,\n", - " structure=SMILES(\"CC\"),\n", - ")\n", - "\n", - "species(\n", - " label='methane',\n", - " reactive=True,\n", - " structure=SMILES(\"C\"),\n", - ")\n", - "\n", - "# Reaction systems\n", - "simpleReactor(\n", - " temperature=(1300,'K'),\n", - " pressure=(1.0,'bar'),\n", - " initialMoleFractions={\n", - " \"ethane\": 1.0,\n", - " },\n", - " terminationTime=(0.5,'ms'),\n", - " sensitivity=['ethane','methane']\n", - ")\n", - "\n", - "simulator(\n", - " atol=1e-16,\n", - " rtol=1e-8,\n", - ")\n", - "\n", - "model(\n", - " toleranceMoveToCore=0.01,\n", - " filterReactions=True,\n", - ")\n", - "\n", - "options(\n", - " units='si',\n", - " generateOutputHTML=False,\n", - " generatePlots=False,\n", - " saveEdgeSpecies=True,\n", - " saveSimulationProfiles=True,\n", - ")\n", - "\n", - "\n", - "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n", - "\n", - "Thermo file has default temperature range 300.0 to 1000.0 and 1000.0 to 5000.0\n", - "Conducting simulation and sensitivity analysis of reaction system 1...\n", - "At time 5.0000e-04 s, reached target termination time.\n", - "Simulation took 1.9629549980163574 seconds\n" - ] - } - ], + "outputs": [], "source": [ "# Copy example input file to temp folder\n", "shutil.copy('./data/ethane_model/input.py', './temp')\n", @@ -284,44 +150,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RMG Native Simulation: Species Mole Fractions\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RMG Native Simulation: Ethane Reaction Sensitivity\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "print('RMG Native Simulation: Species Mole Fractions')\n", "display(Image(filename=\"./temp/solver/simulation_1_27.png\"))\n", @@ -332,44 +163,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CHEMKIN Simulation: Species Mole Fractions\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CHEMKIN Simulation: Ethane Reaction Sensitivity\n" - ] - }, - { - "data": { - "image/png": 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tAQDp6enw9PQUtQpX1pW1IgcHB9F45pfrTJ1OnTqhTZs22LlzJ/T09ITlZWVlGD16NCwtLZGQkABDQ0Ns2rQJX3zxBf744w/Ur1+/0jx79OiBHj16VLlvHx8frFu3TrTs3LlzGDBggPD56dOnMDAwUGop79u3r/BvV1dXtG7dGvb29jhw4ICoa7ShoaHoPERGRoqCOLlcDolEgiVLlgjLNmzYgMDAQFy8eBFlZWVwcnIS7Vsul8Pc3LzK46t4LSsC8orn5bfffsPy5ctx/fp1FBQUoKSkBHXq1BHloe7canKv6eJaLi0thVwuh6GhIQwNDdGkSRON0iqCR216OeTn58Pf3x8uLi4qW5d37Nih1IobGBgo+qzJtfH06VNRnbx48QL9+/dHSEiI0vl+2cv3d1ZWFlxcXIT1JSUleP78uSiYHjBggGgSxGbNmikNyblz506lY71TU1PRvXt3BAcHi873y8ehMGvWLDx+/Bi///47LCwssGfPHvTu3RsJCQnC943iWCr7npoxYwYmTpwofM7Pz4etra3KbYmIiOjdx2C7mqpqMVFHX19f9FkikaidnVix7sCBA8I4ZAV145w12d+tW7fg5+eHUaNGYe7cuTAzM8PJkycxbNgw0VhXVXko6kCR18aNG/HRRx+JtlMEm+bm5pBIJNWeOEjRzb5evXpqt6vYhRyo/nnS9hxV5O/vj+joaKSlpYl+hMfFxSEmJgaPHz8WAsC1a9fi6NGj2LJli0bd26tibGysFLj9/fffos8WFhYoKipCcXGx0OquSv369WFvb49r166Jlufk5IjOQ0BAgOi8T5s2DTY2Nhg3bpywzMrKCkD5taKnp4fExETRgwgAGk0Kp+68nD17Fv369UNISAh8fX1hamqKqKgopbkU1OWhyb1mYWEBoLw7eVXXoyo5OTkwMjISAsyEhAR07dpVbZoffvgBP/zwA5o2bQqJRIL09HSNXnn35MkTdOnSBVKpFLt371Y6dqB8BvyXrxlVEw9WpOrasLCwEN3fT548wYULF3Dp0iWMHTsWQHn9lpWVoWbNmjhy5Ag6dOgAQPn+btCggai1f9euXYiOjhZNovbyQ5RatWopHUdlrelpaWno0KEDRowYIeoNoeo4gPKHq6tXr0ZKSgpatGgBAHB3d0dCQgLWrFkjCvpfvj8qMjAw0Og7m4iIiN4PDLarqUmTJtDX18fZs2dhZ2cHoPzH99WrV9G+fXud7svFxQUGBgbIysqqNG9F0PRyl+GqXLhwASUlJQgLCxO6Te7cuVOrPKysrGBjY4MbN24otYhVLJ+LiwvS0tK0fs82AKSkpKBhw4ZCoKNKWVkZ9u/fj61btwrLXFxclF7BpJhE6nVZsGABpFIpOnbsiPj4eKGFTtHa9XL31Bo1arzyq6C0oegenJaWpvZd3v/9739x+/ZtpRb3lJQUUY8KExMTUUuxiYkJzMzMVLbWymQyvHjxAg8ePBDNSl9RrVq1tL6OgfJXS9nb22PmzJnCslu3bmmVhyb3WuPGjVGnTh2kpaVV2WKrSkpKClq1aiV81qYbuZmZGXx9fbFmzRqMGzdOadx2bm6uMCQhPz8fvr6+MDAwwL59+6rdEq+KqmtDJpMhLS1N+FynTh0kJyeL0q1duxZxcXH47bff0KhRI2H5y/d3zZo1RdePpaWlVj0A1ElNTUWHDh0wePBglcNCZDIZ7t27h8ePH6Nu3boAKr939fT0lO7dlJQUncycTkRERO8+TpBWTVKpFMOGDcOUKVMQGxuLlJQUDBkyROX7ZV+ViYkJJk+ejAkTJmDLli3IyMjApUuXsGbNGmECMnt7e0gkEsTExODhw4ei2cTVady4MUpKSrBq1SrcuHED27Ztq9b7qefMmYP58+djxYoVuHr1KpKTkxEeHo6lS5cK2/j6+uLkyZOidMXFxUhKSkJSUhKKi4tx584dJCUl4fr166LtEhISqgzSExMTUVhYiHbt2gnLRo0ahYyMDEycOBFXrlzBr7/+qtX7y6tryZIlCAwMRIcOHYQJvD7++GPUrVsXgwcPxp9//omrV69iypQpuHnzJvz9/dXmt3v3bq3H6VamXr16aNWqlehcFBQUYPLkyThz5gwyMzMRHx+Pbt26wcLCQqn7uibnojJOTk4IDAzEoEGDsGvXLty8eRN//PEHFi5cKLxKysHBAQUFBYiNjcWjR4+qHDqg0KRJE2RlZSEqKgoZGRlYuXKl1rNCa3Kv1ahRA506dVK6lgsKCoRrGQBu3ryJpKQkZGVlibZ7uf4UQaS6v4oTeK1duxYvXrxA27ZtER0djWvXriE9PR0rV64Uhkg8efIEnTt3RmFhITZv3oz8/Hzcu3cP9+7d0/pBhqbXxsv3d40aNeDq6ir6s7S0RO3ateHq6ip6UPAq15Q2UlNT4ePjg88//xwTJ04U6uThw4fCNjKZDPXq1cOpU6eEZc2bN0eTJk3wzTff4Pz588jIyEBYWBiOHj0q6mFQVFSExMTE/8mxEBER0duPwfYrWLx4Mdq1a4eAgAB06tQJn376aZWzSlfX3LlzERwcjPnz58PZ2Rm+vr7Yv3+/0DpkY2ODkJAQTJ8+HVZWVkK3zap4eHhg6dKlWLhwIVxdXREZGYn58+drXb7hw4dj06ZNiIiIQMuWLdG+fXtERESIWq9GjBiBgwcPIi8vT1h29+5dyGQyyGQyZGdnY8mSJZDJZBg+fLiwzbNnz7B7927ReHBV9u7dC39/f1HXUTs7O0RHR2P//v1wd3fH+vXrhZmdX7dly5ahT58+6NChA65evQoLCwscOnQIBQUF6NChA1q3bo2TJ09i7969cHd3V5tXXl4erly5orOyjRw5UtQlV09PD8nJyejevTucnJwwePBgODk54cyZM6JW6zNnziAvLw+9evWq9r7Dw8MxaNAgTJo0Cc2aNUNAQADOnTsnjF318vLCqFGj0LdvX9SrVw+LFi3SKN/u3btjwoQJGDt2LDw8PHD69GnMnj1b6/JVda8B5fUXFRUlatW8cOGCcC0DwMSJEyGTyYTJ+oDyMcSnT59GUFCQ1uVSaNSoES5evAgfHx9MmjQJrq6u+PzzzxEbGyuM109MTMS5c+eQnJyMJk2aoH79+sLf7du3tdqfptfGgAEDkJaWpvV1qun9rQv//ve/8fDhQ0RGRorqpE2bNsI2enp6GDp0qOj+0NfXx8GDB1GvXj1069YNbm5u2Lp1K7Zs2QI/Pz9hu71798LOzq7SXhtERET0zyIpe5XBx6Rz8fHx8PHxwePHj6ucofpd1KdPH8hkMsyYMUPjNGvWrMHevXtx5MgRpXVDhgxBbm4u9uzZAzc3N8yaNQt9+vTRZZFV8vb2hoeHB5YvX/5a8p8zZw727NlTZffi6nr27BmaNWuGqKgojSaMU+jduzdkMhl++OGH11Kud0VZWRk8PT0xfvx44c0CmpgyZQry8vKU3g/+vpg6dSry8vKwYcMGjdOou7/flPv376NFixZITEzUanb0tm3bYvz48ejfv79G2+fn58PU1FR4LZuuLTt6Ved5EhHRq5nwufZD0Ojtos3/32zZfks1bNhQqx/x74rFixdrNBFWRfr6+li1apVomeLdxIrWp+LiYnz11VdVTjSlS2vXroVUKlUal/oqsrKyRO9Vfl1q166NrVu34tGjRxqnkcvlcHd3x4QJE15jyd4NEokEv/zyC0pKSrRKZ2lpiblz576mUr15M2fOhL29vVZd1VXd32+alZUVNm/erDQEQJ0HDx6gV69e7+X3NhEREVUPW7bfMk+fPsWdO3cAlI8LV/WuYXrz9XTnzh3hFVB2dnZqZ/XWRklJifAOawMDA74WiOg9xpZtIqJ/HrZsv/u0+f+bs5G/ZXQ14+777k3X08uvhdKVl2dhJiIiIiKidxO7kRMRERERERHpGINtIiIiIiIiIh1jsE1ERERERESkYwy2iYiIiIiIiHSME6QRERG9hzjjLRER0ZvFlm0iIiIiIiIiHWOwTURERERERKRjDLaJiIiIiIiIdIzBNhEREREREZGOMdgmIiIiIiIi0jEG20REREREREQ6xld/ERERERG9A5Ydvfqmi0CviK9l/GdhyzYRERERERGRjjHYJiIiIiIiItIxBttEREREREREOsZgm4iIiIiIiEjHGGwTERERERER6RiDbSIiIiIiIiIdY7BNREREREREpGMMtv+BvL29MX78eOGzg4MDli9frnH6+Ph4SCQSSCQSfPnllzovz5u2efNmdO7cWas0vXr1wtKlS0XLXqWeFGlzc3MBABEREfjggw+0ysPb21vYf1JSksp8qyMzM1PI18PDo9r5/C9duXIF1tbWePLkicZpJk+ejHHjxr3GUr0+xcXFaNKkCU6dOqVxmpiYGMhkMpSWlr7Gkqmmi+tSl6pTf8nJyWjYsCEKCwtfY8mIiIjoXcJgm6rtypUriIiI0Hj7t+0HtSpyuRzBwcGYPXu2sCw1NRVfffUVHBwcIJFIVD6YCA4Oxrx585Cfny8s8/LyQnZ2Nvr06aNyX97e3li/fr3uD6KCESNGIDs7G66urhqnmTdvHry8vGBkZKQywLe1tUV2djYmTZpUrTLdu3cP3333HRwdHWFgYABbW1t069YNsbGxwjaVPQCaM2eOKMDftWsXWrdujQ8++ADGxsbw8PDAtm3blNLNnDkTY8aMgYmJCYDya9fHxwdWVlaoXbs2HB0dMWvWLDx//lxIM3XqVISHh+PmzZvVOk6F4uJiLFq0CO7u7jAyMoKFhQU++eQThIeHC/sbMmSIygcyL98zmpQbAH755RfY29vjk08+EZYFBATAzs4OtWvXRv369TFw4EDcvXtXWP/FF19AIpHg119/faXjrcrb9nBNFVX1V9V90bJlS7Rt2xbLli37XxaViIiI3mIMtqnaLC0ttW5tfdtFR0dDKpXis88+E5YVFRXB0dERCxYsgLW1tcp0bm5ucHBwQGRkpLCsVq1asLa2hqGhodL2OTk5OH36NLp166b7g6jAyMgI1tbWqFmzpsZpiouL0bt3b3z77bcq1+vp6cHa2hpSqVTr8mRmZuLDDz9EXFwcFi1ahOTkZBw6dAg+Pj4YM2aM1vmZmZlh5syZOHPmDC5fvoygoCAEBQXh8OHDwjZ///039u3bh6CgIGGZvr4+Bg0ahCNHjuDKlStYvnw5Nm7ciB9//FHYxtLSEp07d1b7QCQ+Ph4ODg6Vri8uLoavry8WLFiAkSNH4vTp0zh//jzGjBmDVatWITU1Vavj1aTcALBq1SoMHz5ctMzHxwc7d+7ElStXEB0djYyMDPTq1Uu0TVBQEFatWqVVmd5HquqvqvsCKK+/devW4cWLF6+7iERERPQOYLD9nissLMSgQYMglUpRv359hIWFVZlGIpFg06ZN6NGjB4yMjNC0aVPs27evynRlZWVYtGgRHB0dYWhoCHd3d/z2228AyoMsHx8fAEDdunUhkUgwZMgQIW1paSmmTp0KMzMzWFtbY86cOaK8ly5dipYtW8LY2Bi2trYYPXo0CgoKhPWKbtaHDx+Gs7MzpFIpunTpguzsbFE+4eHhcHZ2Ru3atdG8eXOsXbtWtD4qKgoBAQGiZW3atMHixYvRr18/GBgYVHr8AQEB2L59e5X1BAAHDhyAu7s7bGxsAAAHDx6Ek5MTDA0N4ePjg8zMTLXpFS2827Ztg4ODA0xNTdGvXz+tukkDwNOnT+Hv7w9PT0/k5OQAAEJCQjBhwgS0bNlSq7w0MXr0aEgkEpw/fx69evWCk5MTWrRogYkTJ+Ls2bNa5+ft7Y0ePXrA2dkZjRs3xvfffw83NzecPHlS2Gbnzp1wd3dHw4YNhWWOjo4ICgqCu7s77O3tERAQgMDAQCQkJIjy1+acqrJ8+XKcOHECsbGxGDNmDDw8PODo6Ij+/fvj3LlzaNq0qVb5aVLuixcv4vr16/D39xelnTBhAjw9PWFvbw8vLy9Mnz4dZ8+eFbWKBwQE4Pz587hx40a1jzktLQ1+fn6QSqWwsrLCwIED8ejRIwDlLfjHjx/HihUrhKEIFa/1xMREtG7dGkZGRvDy8sKVK1eEdRkZGejevTusrKwglUrRpk0b/P7776J9Ozg4IDQ0FCDHmicAACAASURBVEOHDoWJiQns7Ozwyy+/iLa5c+cO+vbti7p168Lc3Bzdu3cXlaGy+tPkvvD19cV///tfHD9+XNtqIyIiovcQg+333JQpU3Ds2DHs3r0bR44cQXx8PBITE6tMFxISgj59+uDy5cvw8/NDYGCgEIxVZtasWQgPD8e6deuQmpqKCRMmYMCAATh+/DhsbW0RHR0NoLwrbHZ2NlasWCGk3bJlC4yNjXHu3DksWrQIP/30E44ePSqsr1GjBlauXImUlBRs2bIFcXFxmDp1qmj/RUVFWLJkCbZt24YTJ04gKysLkydPFtZv3LgRM2fOxLx585Ceno7Q0FDMnj0bW7ZsEbZJSEhA69atq6wfVdq2bYvz589DLpdXue2+ffvQvXt3AMDt27fRs2dP+Pn5ISkpCcOHD8f06dOrzCMjIwN79uxBTEwMYmJicPz4cSxYsEDj8ubl5aFz584oLi5GbGwszMzMNE6rSkREBCQSSaXrc3JycOjQIYwZMwbGxsZK61+1l0RZWRliY2Nx5coVtGvXTlh+4sSJKs/p9evXcejQIbRv3160vG3btrh9+zZu3bpVrTJFRkaiU6dOkMlkSuv09fVV1oM2VJX7xIkTcHJyQp06dSpNl5OTg8jISHh5eUFfX19Ybm9vD0tLS1Hw3rVrV0ilUrV/CtnZ2Wjfvj08PDxw4cIFHDp0CPfv3xeGUqxYsQIff/yxMLwhOzsbtra2QvqZM2ciLCwMFy5cQM2aNTF06FBhXUFBAfz8/PD777/j0qVL8PX1Rbdu3ZCVlSU6trCwMLRu3RqXLl3C6NGj8e233+Kvv/4CUP4d4ePjA6lUihMnTuDkyZPCg7ni4mKN668ytWrVgru7u9JDGyIiIvpn0rxvKb1zCgoKsHnzZmzduhWff/45gPKgtmILX2WGDBmCr7/+GgAQGhqKVatW4fz58+jSpYvK7QsLC7F06VLExcXh448/BlDeCnfy5Els2LAB7du3F4I5Vd3P3dzchK6wTZs2xerVqxEbGyuUu+IYz0aNGmHu3Ln49ttvRS3Tz58/x/r169G4cWMAwNixY/HTTz8J6+fOnYuwsDD07NlTyCctLQ0bNmzA4MGDkZubi9zcXDRo0KDK+lHFxsYGcrkc9+7dg729faXbyeVyHD58GMHBwQCAdevWwdHREcuWLYNEIkGzZs2QnJyMhQsXqt1faWkpIiIihHHIAwcORGxsLObNm1dlWe/fv4++ffuicePG2L59O2rVqqXFkapmamqKZs2aVbr++vXrKCsrQ/PmzTXKb9q0aZg1a5ZoWXFxMVxcXETL8vLyhLrX09PD2rVrhesG+L+u66p4eXnh4sWLkMvlGDlypOh6ASD0PMjMzFR7Titz7do1eHt7a7RtTEyMUtf8yrojqyt3ZmZmpdfwtGnTsHr1ahQVFcHT0xMxMTFK29jY2Ihaejdt2oSnT59qdAzr1q1Dq1atEBoaKiz7f//v/8HW1hZXr16Fk5MTatWqJQxveNm8efOEBwfTp0+Hv78/nj17htq1a8Pd3R3u7u7Ctj///DN2796Nffv2YezYscJyPz8/jB49WjjeZcuWIT4+Hs2bN0dUVBRq1KiBTZs2CQ+GwsPD8cEHHyA+Ph6dO3dWW3+aeLn+KpLL5aKHcRXneCAiIqL3D4Pt91hGRgaKi4uF4BcoH+OqLiBScHNzE/5tbGwMExMTPHjwoNLt09LS8OzZM1GQA5QHR6pa9dTtDwDq168v2t+xY8cQGhqKtLQ05Ofno6SkBM+ePUNhYaHQOmhkZCQE2i/n8fDhQ9y+fRvDhg3DiBEjhG1KSkpgamoKAEJAUbt27SrLq4pibHZRUZHa7eLi4mBubi50R01PT4enp6eoVbjiOauMg4ODEGgDynWmTqdOndCmTRvs3LkTenp6GqWpSo8ePdCjR49K15eVlQGA2tbviqZMmSIaagAAK1euxIkTJ0TLTExMkJSUhIKCAsTGxmLixIlwdHQUgtynT59Wek537NiBJ0+e4M8//8SUKVOwZMkSUY8JVee0YkD84sULyOVy0bLPPvsM//nPf4Rj1vR4fXx8sG7dOtGyc+fOYcCAAVqVW93xTpkyBcOGDcOtW7cQEhKCQYMGISYmRlRGQ0ND0fEqHjhoIjExEceOHVM5nj8jIwNOTk5q01f8Hqhfvz4A4MGDB7Czs0NhYSFCQkIQExODu3fvoqSkBE+fPlVq2a6Yh0QigbW1tXBfJCYm4vr166L7BgCePXuGjIwMAOrrTxMv119F8+fPR0hISLXzJiIioncLg+33mCK4qY6KXUuB8h+t6l4JpFh34MABpR/n6sY5a7K/W7duwc/PD6NGjcLcuXNhZmaGkydPYtiwYaLxpqryUNSBIq+NGzfio48+Em2nCDbNzc0hkUjw+PHjKsuriqKbfb169dRuV7ELOVD986TtOarI398f0dHRSEtLey1js1Vp2rQpJBIJ0tPTNXoVmoWFBZo0aSJapqqre40aNYTtPDw8kJ6ejvnz5wvBtoWFRaXnVNGF2cXFBS9evMDIkSMxadIk4ZpQdU4Vr1EDyoPhadOmIT4+XlhWcUI8JycnpKenV3msQPlDrZeP9++//9a63BYWFkhOTlaZzsLCAhYWFnBycoKzszNsbW1x9uxZ0cOdnJwc0fF27dq1ym7RivkTSktL0a1bN5W9MhTBszoVr2nFAwDFNT1lyhQcPnwYS5YsQZMmTWBoaIhevXoJ3b9V5aHIR5FHaWkpPvzwQ9FEhgqKY1ZXf5rIyckRPfSraMaMGZg4caLwOT8/X9SNnoiIiN4vDLbfY02aNIG+vj7Onj0LOzs7AMDjx49x9epVpbGpr8rFxQUGBgbIysqqNG9FV2VtZ+q9cOECSkpKEBYWhho1yqcZ2Llzp1Z5WFlZwcbGBjdu3EBgYGCl5XNxcUFaWprW79kGgJSUFDRs2BAWFhaVblNWVob9+/dj69atwjIXFxfs2bNHtF11JgvTxoIFCyCVStGxY0fEx8crdc1+HczMzODr64s1a9Zg3LhxSuOVc3NzdTK7fVlZmairrkwmQ1pamkbpnj9/Lnr4kZKSAn19fbRo0UJYVjEg/vvvv1GzZk2lIFmhf//++OGHH3Dp0iWlHh4lJSWQy+WvPG775XLLZDKsW7euylZ1xfYV60rRwluxrNp0I2/VqhWio6Ph4OBQ6Qz4tWrVqtZs3QkJCRgyZIjQe6KgoKDKiQRVlW/Hjh2wtLSsdEy2pvVXmZSUFKVZ3hUMDAw0evhIRERE7wdOkPYek0qlGDZsGKZMmYLY2FikpKRgyJAhQsCqSyYmJpg8eTImTJiALVu2ICMjA5cuXcKaNWuECcjs7e0hkUgQExODhw8fimYTV6dx48YoKSnBqlWrcOPGDWzbtq1a76eeM2cO5s+fjxUrVuDq1atITk5GeHg4li5dKmzj6+srmskaKO8Kn5SUhKSkJBQXF+POnTtISkrC9evXRdslJCRUGaQnJiaisLBQNIHXqFGjkJGRgYkTJ+LKlSv49ddftXp/eXUtWbIEgYGB6NChgzCBFABkZWUhKSkJWVlZePHihXDsVZ2v3bt3Vzkee+3atXjx4gXatm2L6OhoXLt2Denp6Vi5cqVGXedfNn/+fBw9ehQ3btzAX3/9haVLl2Lr1q2irte+vr44c+aMKMCLjIzEzp07kZ6ejhs3buDf//43ZsyYgb59+4qCxISEBHz22WcqX9+mifHjx+OTTz5Bx44dsWbNGvz555+4ceMGdu7ciY8++gjXrl3TKj9Nyu3j44PCwkLRa8XOnz+P1atXIykpCbdu3cKxY8fQv39/NG7cWFTvZ8+ehYGBgWiZjY0NmjRpovZPYcyYMcjJycHXX38tzGp+5MgRDB06VKh/BwcHnDt3DpmZmXj06JHGvTGaNGmCXbt2ISkpCX/++Sf69++vcVqFwMBAWFhYoHv37khISMDNmzdx/PhxfP/990IvAlX1B2h2X2RmZuLOnTvo1KmTVuUiIiKi9xOD7ffc4sWL0a5dOwQEBKBTp0749NNPK50s6lXNnTsXwcHBmD9/PpydneHr64v9+/ejUaNGAMp/tIeEhGD69OmwsrISTWqkjoeHB5YuXYqFCxfC1dUVkZGRmD9/vtblGz58ODZt2oSIiAi0bNkS7du3R0REhFA+ABgxYgQOHjyIvLw8Ydndu3chk8kgk8mQnZ2NJUuWQCaTid7D++zZM+zevVs0HlyVvXv3wt/fXxTQ2dnZITo6Gvv374e7uzvWr18vmmDqdVq2bBn69OmDDh064OrVqwCA4OBgyGQy/PjjjygoKBCO/cKFC2rzysvLE72qSZVGjRrh4sWL8PHxwaRJk+Dq6orPP/8csbGxSuOVNVFYWIjRo0ejRYsW8PLywm+//YZ//etfonPj5+cHfX190WuiatasiYULF6Jt27Zwc3PDnDlzMGbMGGzatEmU//bt26s8p+oYGBjg6NGjmDp1KjZs2ABPT0+0adMGK1euxLhx4+Dq6qpVfpqU29zcHD179hR1lTY0NMSuXbvQsWNHNGvWDEOHDoWrqyuOHz8uamndvn07AgMDYWRkVK3jbdCgAU6dOoUXL17A19cXrq6u+P7772Fqaio85Js8eTL09PTg4uKCevXqKY25rsyyZctQt25deHl5oVu3bvD19UWrVq20Kp+RkRFOnDgBOzs79OzZE87Ozhg6dCiePn0qtHSrqj9As/ti+/bt6Ny5c7Um0yMiIqL3j6TsVQb20j9SfHw8fHx88PjxY510+33b9OnTBzKZDDNmzNA4zZo1a7B3714cOXJEad2QIUOQm5uLPXv2wM3NDbNmzRJehfQ6eXt7w8PDA8uXL38t+c+ZMwd79uwRjWF+W61duxZ79+7F4cOHNU5z4MABTJkyBZcvX660S/TbKjk5GZ06dVI5GVhlHj58iObNm+PChQuiB1D/RNWpP7lcjqZNm2L79u345JNPNEqTn58PU1NT5OXlVetVY0T0z7Ps6NU3XQR6RRM+Vz9ZKL39tPn/my3bVG0NGzYUXg/2Plm8eLHK2ZTV0dfXx6pVq0TLEhISIJVKhRay4uJifPXVV+jatavOylqVtWvXQiqVvtKETy/LysqCVCr9n7W+68LIkSPRrl07PHnyROM0hYWFCA8Pf+cCbQBo2bIlFi1apNWY5ps3b2Lt2rX/+EAbqF793bp1CzNnztQ40CYiIqL3H1u2SWtPnz7FnTt3AJSPC1f1vlx68/V0584dYWIrOzs7nbxLGyif2EsRhBgYGHA2ZaJqYss2EWmLLdvvPrZsv/u0+f/73WuyoTfO0NCw0tmX6f+86XrS5v3I2lA3+zYREREREZVjN3IiIiIiIiIiHWOwTURERERERKRjDLaJiIiIiIiIdIzBNhEREREREZGOcYI0IiIiIqJ3AGeyJnq3sGWbiIiIiIiISMcYbBMRERERERHpGINtIiIiIiIiIh1jsE1ERERERESkYwy2iYiIiIiIiHSMwTYRERERERGRjvHVX0RERERERP8Dy45efdNF+Ed506/LY8s2ERERERERkY4x2CYiIiIiIiLSMQbbRERERERERDrGYJuIiIiIiIhIxxhsExEREREREekYg20iIiIiIiIiHWOwTURERERERKRjDLaJiIiIiIiIdIzBNqnk7e2N8ePHC58dHBywfPlyjdPHx8dDIpFAIpHgyy+/1Hl53rTNmzejc+fOWqXp1asXli5dKlr2KvWkSJubmwsAiIiIwAcffKBVHt7e3sL+k5KSVOZbHbo+/+q0a9cOv/76q8bbP3jwAPXq1cOdO3deY6nerNmzZ2PkyJEaby+Xy2FnZ4fExMTXWKrKafv98rppW38A0KZNG+zates1lYiIiIjeRQy26bW6cuUKIiIiNN5eF4He6yaXyxEcHIzZs2cLy1JTU/HVV1/BwcEBEolEZeAQHByMefPmIT8/X1jm5eWF7Oxs9OnTR+W+vL29sX79et0fRAUjRoxAdnY2XF1dNU4TEBAAOzs71K5dG/Xr18fAgQNx9+5dYX1Vx6VOZQ9WVD1MiImJwb1799CvXz9RekWgr/iruN7S0hIDBw7Ejz/+qHXZXnbp0iX07t0bVlZWqF27NpycnDBixAhcvXoVAPDnn3/i66+/hq2tLQwNDeHs7IwVK1ZUeVwKEokEe/bsET4rrq+Kf9OnTxeluX//PlasWIEffvhBZZ7z58+HRCIR1bGBgQEmT56MadOmVaseNFWdB0L/a6rq78SJE+jWrRsaNGigdE4UZs+ejenTp6O0tPR/WVwiIiJ6izHYptfK0tLyrf9xra3o6GhIpVJ89tlnwrKioiI4OjpiwYIFsLa2VpnOzc0NDg4OiIyMFJbVqlUL1tbWMDQ0VNo+JycHp0+fRrdu3XR/EBUYGRnB2toaNWvW1DiNj48Pdu7ciStXriA6OhoZGRno1auXsF7dcenSypUrERQUhBo1xF9ligcIir8NGzaI1gcFBSEyMhKPHz+uNG9vb2+1D4piYmLg6ekJuVyOyMhIpKenY9u2bTA1NRUexCQmJqJevXr417/+hdTUVMycORMzZszA6tWrq33MP/30k+jYZs2aJVq/efNmfPzxx3BwcFBK+8cff+CXX36Bm5ub0rrAwEAkJCQgPT292mV7H6iqv8LCQri7u6s9b/7+/sjLy8Phw4f/B6UkIiKidwGDbUJhYSEGDRoEqVSK+vXrIywsrMo0EokEmzZtQo8ePWBkZISmTZti3759VaYrKyvDokWL4OjoCENDQ7i7u+O3334DAGRmZsLHxwcAULduXUgkEgwZMkRIW1paiqlTp8LMzAzW1taYM2eOKO+lS5eiZcuWMDY2hq2tLUaPHo2CggJhvaJV7fDhw3B2doZUKkWXLl2QnZ0tyic8PBzOzs6oXbs2mjdvjrVr14rWR0VFISAgQLSsTZs2WLx4Mfr16wcDA4NKjz8gIADbt2+vsp4A4MCBA3B3d4eNjQ0A4ODBg3BycoKhoSF8fHyQmZmpNv2cOXPg4eGBbdu2wcHBAaampujXrx+ePHmi0f4Vnj59Cn9/f3h6eiInJwcAMGHCBHh6esLe3h5eXl6YPn06zp49i+fPn2uV96t49OgRfv/9d6VzAfzfAwTFn6mpqWh9y5YtYW1tjd27d1dr30VFRQgKCoKfnx/27duHTp06oVGjRvjoo4+wZMkSIbgfOnQoVq5cifbt28PR0REDBgxAUFDQK3U3NjExER2bVCoVrVd1fQJAQUEBAgMDsXHjRtStW1dpvbm5Oby8vDS+PlUpLi7G1KlTYWNjA2NjY3z00UeIj48HUN5rJSgoCHl5eUKrfMV7uKioCEOHDoWJiQns7Ozwyy+/iPKeNm0anJycYGRkBEdHR8yePVt0vWlyvav7/lFQVX9du3bFzz//jJ49e1Z67Hp6evDz83ul+iMiIqL3C4NtwpQpU3Ds2DHs3r0bR44cQXx8vEZjN0NCQtCnTx9cvnwZfn5+CAwMFIKxysyaNQvh4eFYt24dUlNTMWHCBAwYMADHjx+Hra0toqOjAZR3P8/OzhZ1ud2yZQuMjY1x7tw5LFq0CD/99BOOHj0qrK9RowZWrlyJlJQUbNmyBXFxcZg6dapo/0VFRViyZAm2bduGEydOICsrC5MnTxbWb9y4ETNnzsS8efOQnp6O0NBQzJ49G1u2bBG2SUhIQOvWrausH1Xatm2L8+fPQy6XV7ntvn370L17dwDA7du30bNnT/j5+SEpKQnDhw9X6j6sSkZGBvbs2YOYmBjExMTg+PHjWLBggcblzcvLQ+fOnVFcXIzY2FiYmZkpbZOTk4PIyEh4eXlBX19fbX5z5sxR2eJaHSdPnoSRkRGcnZ2V1kVGRsLCwgItWrTA5MmTVT5gaNu2LRISEqq178OHD+PRo0dK15eCut4ceXl5KutRUwsXLoS5uTk8PDwwb948FBcXC+seP36MlJQUldfnmDFj4O/vj06dOlWa98t1EhkZCalUqvavYk+NoKAgnDp1ClFRUbh8+TJ69+6NLl264Nq1a/Dy8sLy5ctRp04doVW+4r0XFhaG1q1b49KlSxg9ejS+/fZb/PXXX8J6ExMTREREIC0tDStWrMDGjRuxbNkyUfmrut7Vff9UVX+aqOqaksvlyM/PF/0RERHR+0vzfqP0XiooKMDmzZuxdetWfP755wDKg9qGDRtWmXbIkCH4+uuvAQChoaFYtWoVzp8/jy5duqjcvrCwEEuXLkVcXBw+/vhjAICjoyNOnjyJDRs2oH379kIQoqr7uZubmzDOtmnTpli9ejViY2OFclccg9qoUSPMnTsX3377rahl+vnz51i/fj0aN24MABg7dix++uknYf3cuXMRFhYmtGA1atQIaWlp2LBhAwYPHozc3Fzk5uaiQYMGVdaPKjY2NpDL5bh37x7s7e0r3U4ul+Pw4cMIDg4GAKxbtw6Ojo5YtmwZJBIJmjVrhuTkZCxcuFDt/kpLSxEREQETExMAwMCBAxEbG4t58+ZVWdb79++jb9++aNy4MbZv345atWqJ1k+bNg2rV69GUVERPD09ERMTU2WeFhYWQt2rs3btWmzatEm0rKSkBLVr1xY+Z2ZmwsrKSqkLeWBgIBo1agRra2ukpKRgxowZ+PPPP0UPZoDyc3Hp0qUqy6LKtWvXAADNmzfXKt2ZM2ewc+dOHDhwQLQ8Ly9PqYVale+//x6tWrVC3bp1cf78ecyYMQM3b94U6urWrVsoKytTuj6joqJw8eJF/PHHH2rzt7GxEfWYCAgIwEcffaQ2jZWVFYDyQHf79u34+++/hf1PnjwZhw4dQnh4OEJDQ2FqagqJRKJyqIWfnx9Gjx4NoPzaWrZsGeLj44U6rthd3sHBAZMmTcKOHTtEDzzUXe+afP9UVn+asrGxQVZWFkpLS5WuS6B8vHxISEi18iYiIqJ3D4Ptf7iMjAwUFxcLPz4BwMzMDM2aNasybcVxn8bGxjAxMcGDBw8q3T4tLQ3Pnj0TgmOF4uJiyGQyrfYHAPXr1xft79ixYwgNDUVaWhry8/NRUlKCZ8+eobCwEMbGxgDKuxdXDPYq5vHw4UPcvn0bw4YNw4gRI4RtSkpKhG7IT58+BQBR0KcNxRjmoqIitdvFxcXB3NwcLVu2BACkp6fD09MTEolE2KbiOauMg4ODEHgAynWmTqdOndCmTRvs3LkTenp6SuunTJmCYcOG4datWwgJCcGgQYMQExMjKuPLxo4di7Fjx1a578DAQMycOVO0bNeuXQgNDRU+P336VOV5qHjuXF1d0bRpU7Ru3RoXL15Eq1athHWGhoai8xAaGqqU/9mzZ0Xl/c9//oPPPvsMZWVlVR7Dy1JTU9G9e3cEBwcr3QMmJia4ePGiUpqmTZuKPk+YMEH4t5ubG+rWrYtevXoJrd2qrs/bt2/j+++/x5EjR6q8bl+uExMTE9H1o87FixdRVlYGJycn0XK5XA5zc/Mq01e8vxUBecVr9bfffsPy5ctx/fp1FBQUoKSkBHXq1BHloe561+T7Rxf3d2lpKeRyucr5CmbMmIGJEycKn/Pz82Fra1utfREREdHbj8H2P1x1ggaFl7sMSyQStTPxKtYdOHBAGIesoG6csyb7u3XrFvz8/DBq1CjMnTsXZmZmOHnyJIYNGyYa16kqD0UdKPLauHGjUmueItg0NzeHRCJRO7GWOopu9vXq1VO7XcUu5ED1z5O256gif39/REdHIy0tTQj6K7KwsICFhQWcnJzg7OwMW1tbnD17VqOHAFUxNTVFkyZNRMssLS2V9q/JeWjVqhX09fVx7do1UbCdk5MjOg+jRo0SzZ4eGBiIr776SjROV3HdKgLKv/76S6PjTUtLQ4cOHTBixAilCc2A8iEQLx+vJjw9PQEA169fh7m5OSwsLACUd4dWHFtiYiIePHiADz/8UEj34sULnDhxAqtXr4ZcLheu75frJDIyEt98843aMmzYsAGBgYEoLS2Fnp4eEhMTlR7OaNJqr+5aPXv2LPr164eQkBD4+vrC1NQUUVFRSvNLqMtDk+8fVfWnjZycHBgZGVU6MaCBgYFG33VERET0fmCw/Q/XpEkT6Ovr4+zZs7CzswNQ/kPz6tWraN++vU735eLiAgMDA2RlZVWat6Kr8osXL7TK+8KFCygpKUFYWJjQfXPnzp1a5WFlZQUbGxvcuHEDgYGBlZbPxcUFaWlpWr9nGwBSUlLQsGFD4Ue9KmVlZdi/fz+2bt0qLHNxcVF63dDZs2e13r82FixYAKlUio4dOyI+Ph4uLi6Vbqt4GKDJWHRdkclkuHfvHh4/fqxywi+F1NRUPH/+HPXr1xctT0lJgbe3t/DZzMxMNJba0NAQlpaWKoPgzp07w8LCAosWLVI5yVpubq4wDCI1NRUdOnTA4MGDNeq+rw1FN3jFsTVu3Bh16tRBWlqa8ECgY8eOSE5OFqULCgpC8+bNMW3aNFFgnJKSIuplok03cplMhhcvXuDBgweimforqlWrltb3NgCcOnUK9vb2ot4Ot27d0ioPTb5/VNWfNlJSUkQPdIiIiOifjcH2P5xUKsWwYcMwZcoUmJubw8rKCjNnzlQ53vBVmZiYYPLkyZgwYQJKS0vx6aefIj8/H6dPn4ZUKsXgwYNhb28PiUSCmJgY+Pn5wdDQUKNWscaNG6OkpASrVq1Ct27dcOrUqWq9n3rOnDkYN24c6tSpg65du0Iul+PChQt4/Pix0P3T19cXJ0+eFI0RLy4uRlpamvDvO3fuICkpCVKpVBSsJSQkVBmkJyYmorCwEO3atROWjRo1CmFhYZg4cSK++eYbJCYmavX+8upasmQJXrx4gQ4dOgjjZ8+fP4/z58/j008/Rd26dXHjxg0EBwejcePGVbbyrl69Grt370ZsbOwrl00mk6FevXo4deoUvvjiCwDlwyIiIyPh5+cHCwsLpKWlYdKkM9d0iAAAIABJREFUSZDJZPjkk0+EtEVFRUhMTBR1G9eGsbExNm3ahN69eyMgIADjxo1DkyZN8OjRI+zcuRNZWVmIiopCamoqfHx80LlzZ0ycOBH37t0DUN5TQtuW0zNnzuDs2bPw8fGBqakp/vjjD0yYMEF45zlQ3kLeqVMnnDx5El9++SWA8vvu5XeoGxsbw9zcXGl5QkIC5s6dK3zWphu5k5MTAgMDMWjQIISFhUEmk+HRo0eIi4tDy5Yt4efnBwcHBxQUFCA2Nhbu7u4wMjKCkZFRlXk3adJEqNM2bdrgwIEDWs8kr8n3j6r6A8rntrh+/brw+ebNm0hKSoKZmZlQ94Bm9zcRERH9c3A2csLixYvRrl07BAQEoFOnTvj0009FXU51ae7cuQgODsb8+fPh7OwMX19f7N+/H40aNQJQ3k03JCQE06dPh5WVlUbjewHAw8MDS5cuxcKFC+Hq6orIyEjMnz9f6/INHz4cmzZtQkREBFq2bIn27dsjIiJCKB9QPib44MGDyMvLE5bdvXsXMpkMMpkM2dnZWLJkCWQyGYYPHy5s8+zZM+zevVs0pliVvXv3wt/fX/Teazs7O0RHR2P//v1wd3fH+vXrqx0oamvZsmXo06cPOnTogKtXr8LQ0BC7du1Cx44d0axZMwwdOhSurq44fvx4lV1kHz16hIyMDJ2US09PD0OHDlV6b3lsbCx8fX3RrFkzjBs3Dp07d8bvv/8uasHdu3cv7OzsKm2B1UT37t1x+vRp6Ovro3///mjevDm+/vpr5OXl4eeffwYA/Pvf/8bDhw8RGRmJ+vXrC39t2rTRen8GBgbYsWMHvL294eLiguDgYIwYMULpVVMjR45EVFSUxsMFFM6cOYO8vDzR+9K1FR4ejkGDBmHSpElo1qwZAgICcO7cOWFcspeXF0aNGoW+ffuiXr16WLRokUb5du/eHRMmTMDYsWPh4eGB06dPC+8y10ZV3z+A6vq7cOGCcH8DwMSJEyGTyYQJDAHgzp07OH36NIKCgrQuFxEREb2fJGWvMmiXqBLx8fHw8fHB48eP1b4G6V3Vp08fyGQyzJgxQ+M0a9aswd69e3HkyBGldUOGDEFubi727NkDNzc3zJo1SzR++HXx9vaGh4cHli9f/lryr3hcr8P9+/fRokULJCYmqp3d/WVt27bF+PHj0b9//9dSrjeprKwMnp6eGD9+vPC2AE307t0bMpkMP/zww2ss3duvuvU3ZcoU5OXlKb0fXJ38/HyYmpoiLy9PabI3IiJ6Py07evVNF+EfZcLn2g8Lq4o2/3+zZZteq4YNG2r1g/VdsXjxYo26t1ekr6+PVatWiZYlJCSI3lVcXFyMr776Cl27dtVZWauydu1aSKVSpXG9r+Ll43pdrKyssHnzZmRlZWmc5sGDB+jVq9d7eV0C5ZOC/fLLLygpKdE4jVwuh7u7u2i283+q6tQfUD6BX8Uu+ERERERs2abX4unTp7hz5w6A8nHhqt6rS2++nu7cuSO87sju/7N352FNXO3fwL9xAYEgCsgiWwRkUwQULGqr4AIWCrTWDXHBtVbRRy3igloUEaosKipi6wNordSniAtal4JstaigVCBWFEWsInUDCkoQyfsHb+bHkAAJxrr0/lxXroucmTlzZs4k5J6zjKGh2LO0O+pNHxch7wJq2SaEkH8fatn+Z73plm2aII28FkpKSh16lNG/zZs+Ty0fgSQvb/q4CCGEEEIIedOoGzkhhBBCCCGEECJnFGwTQgghhBBCCCFyRsE2IYQQQgghhBAiZxRsE0IIIYQQQgghckYTpBFCCCGEEELIP+B1zI5N3l7Usk0IIYQQQgghhMgZBduEEEIIIYQQQoicUbBNCCGEEEIIIYTIGQXbhBBCCCGEEEKInFGwTQghhBBCCCGEyBkF24QQQgghhBBCiJzRo78IIYQQQggh5B8Qdbb4TRfhX+VNP2qNWrYJIYQQQgghhBA5o2CbEEIIIYQQQgiRMwq2CSGEEEIIIYQQOaNgmxBCCCGEEEIIkTMKtgkhhBBCCCGEEDmjYJsQQgghhBBCCJEzCrYJIYQQQgghhBA5o2CbAACcnJywZMkS5j2Px8PWrVul3j49PR0cDgccDgeffvqp3Mvzpu3duxcuLi4ybTN+/HhERkay0l7lPIm2raysBADEx8ejR48eMuXh5OTE7D8/P19ivh0h7/r/J6SlpcHCwgKNjY1SbyOpTl+3tWvXYt68eTJt4+DggMOHD7+mEsmfPK5Beaqvr4epqSl+/fVXqbdJSUmBnZ2dTNcTIYQQQt5vFGwTubp+/Tri4+OlXv9t+5EtiUAgwLp167B27VomraioCJ9//jl4PB44HI7EGxPr1q1DSEgIqqurmbShQ4eivLwcEydOlLgvJycn7N69W/4H0czcuXNRXl6O/v37y7ytQCCAra0tK1gH2j+u9ty8eRMzZ86Evr4+FBUV0adPH3h7eyM3N5dZh8Ph4MiRI2Lb+vr6sgL8mJgYDBgwAN27d0f37t0xZMgQ/Pzzz2LbBQQEIDAwEJ06NX0NZmdnY9iwYdDQ0ICSkhIsLCwQFRXF2kZSncoqKCgItra2YumlpaVi57WiogLbtm3D6tWrWduLbmyIXjo6Oqy81q5di5UrV76Vgd/bdiNNkj179sDIyAjDhg0D0FQ3s2fPRp8+faCkpAQTExN8/fXXqK+vZ7b55JNPwOFw8MMPP7ypYhNCCCHkLUPBNpErLS0tmVtb33ZJSUngcrn46KOPmLRnz57B2NgYYWFhYoGOyIABA8Dj8XDgwAEmTUFBATo6OlBSUhJb/8mTJzh//jw8PDzkfxDNKCsrQ0dHB126dJF524CAAPTu3Vssva3jak9ubi4GDRqE4uJixMbGgs/nIzk5GRYWFvjqq69kzk9fXx9hYWHIzc1Fbm4uRo4cCS8vLxQVFTHrnD9/Hjdu3MCECROYNBUVFfj5+SEzMxPXrl3DmjVrsGbNGuzZs4dZR1KdthQfHw8nJyeZyy3J3r17MWTIEPB4PFZ6v379UF5ezrwKCgpYy93d3VFVVYXTp0/LpRz/NtHR0ZgzZw7z/o8//kBjYyNiY2NRVFSEqKgo7N69m3UTBABmzpyJ6Ojof7q4hBBCCHlLUbD9L1RbW4vp06eDy+VCV1cXERER7W7D4XDw3Xff4bPPPoOysjL69u2LY8eOtbudUCjE5s2bYWxsDCUlJdjY2OCnn34C0NRa5OzsDADo2bMnOBwOfH19mW0bGxsREBAAdXV16OjoICgoiJV3ZGQkrK2toaKiAgMDAyxYsAA1NTXMclE369OnT8PS0hJcLhdjx45FeXk5K5+4uDhYWlqiW7dusLCwwK5du1jLExMT4enpyUpzcHDAli1bMHnyZCgqKrZ6/J6enjh48GC75wkATpw4ARsbG+jp6QEATp48CTMzMygpKcHZ2RmlpaVtbi9qMd2/fz94PB7U1NQwefJk/P3331LtX+T58+dwd3eHo6Mjnjx5wqT//PPPOHPmDMLDw2XKry1CoRC+vr7o27cvsrKy4O7uDhMTE9ja2uLrr7/G0aNHZc7Tw8MDbm5uMDMzg5mZGUJCQsDlcpGTk8Osk5iYCBcXF3Tr1o1Js7Ozg7e3N/r16wcej4epU6fC1dUVWVlZrPxlqdNXJenaA4AuXbpAR0eHefXq1Yu1vHPnznBzc3ulcjo5OWHRokVYsmQJevbsCW1tbezZswe1tbWYOXMmVFVVYWJiItZrgM/nw83NDVwuF9ra2pg2bRoePXoEoKkXQkZGBrZt28a0yje/rvPy8mBvbw9lZWUMHToU169fZ5aVlJTAy8sL2tra4HK5cHBwwC+//MLaN4/Hw6ZNmzBr1iyoqqrC0NCQdbMEAO7du4dJkyahZ8+e0NDQgJeXF6sMly9fxs2bN+Hu7s6kjR07FnFxcXBxcYGxsTE8PT3h7+8v1lXf09MTFy9exK1btzp0zgkhhBDyfqFg+19o+fLlOHfuHJKTk3HmzBmkp6cjLy+v3e3Wr1+PiRMn4urVq3Bzc4OPjw8rGJNkzZo1iIuLQ0xMDIqKirB06VJMnToVGRkZMDAwQFJSEoCm7ufl5eXYtm0bs21CQgJUVFRw4cIFbN68GRs2bMDZs2eZ5Z06dcL27dtRWFiIhIQEpKWlISAggLX/Z8+eITw8HPv370dmZibKysrg7+/PLP/2228RGBiIkJAQXLt2DZs2bcLatWuRkJDArJOVlQV7e/t2z48kgwcPxsWLFyEQCNpd99ixY/Dy8gIA3L17F+PGjYObmxvy8/MxZ84crFy5st08SkpKcOTIEaSkpCAlJQUZGRkICwuTurxVVVVwcXFBfX09UlNToa6uDqCpO/PcuXOxf/9+KCsrS51fUFCQWKtsc/n5+SgqKsJXX33FdOdu7lV7Sbx8+RKJiYmora3FkCFDmPTMzMx26/TKlSs4f/48RowYwUqXpU5fxdOnT1FYWCixnDdu3EDv3r3Rp08fTJ48WWJwN3jwYNaNgqysLHC53DZfmzZtYuWRkJAATU1NXLx4EYsWLcKXX36JCRMmYOjQobh8+TJcXV0xbdo0PHv2DABQXl6OESNGwNbWFrm5uTh16hQqKiqY4QXbtm3DkCFDmKEM5eXlMDAwYPYXGBiIiIgI5ObmokuXLpg1axazrKamBm5ubvjll19w5coVuLq6wsPDA2VlZawyR0REwN7eHleuXMGCBQvw5Zdf4o8//gDQ9H3g7OwMLpeLzMxMZGdnMzfhRF3CMzMzYWZmhu7du7dZP1VVVcznQ8TIyAhaWlpiN2hEBAIBqqurWS9CCCGEvL9k70dK3mk1NTXYu3cv9u3bhzFjxgBo+kGtr6/f7ra+vr7w9vYGAGzatAnR0dG4ePEixo4dK3H92tpaREZGIi0tjQl0jI2NkZ2djdjYWIwYMYL5sSqp+/mAAQPw9ddfAwD69u2LHTt2IDU1lSl383Gfffr0QXBwML788ktWy/SLFy+we/dumJiYAAD8/PywYcMGZnlwcDAiIiIwbtw4Jh8+n4/Y2FjMmDEDlZWVqKyslNh1Whp6enoQCAR48OABjIyMWl1PIBDg9OnTWLduHYCmccfGxsaIiooCh8OBubk5CgoK8M0337S5v8bGRsTHx0NVVRUAMG3aNKSmpiIkJKTdslZUVGDSpEkwMTHBwYMHoaCgAOD/Wp/nz58Pe3v7dlvYm9PU1GTOvSQ3btwAAFhYWEiVn7e3Nzp37sxKEwgErFZIACgoKMCQIUNQV1cHLpeL5ORkWFlZMctLS0tbrVN9fX08fPgQDQ0NCAoKYnUnBqSv07YUFBSAy+Wy0oRCIev9nTt3IBQKxcr5wQcfYN++fTAzM0NFRQU2btyIoUOHoqioCBoaGqxylpWVobGxEZ06dYK9vT1rPLgkLYNHGxsbrFmzBgCwatUqhIWFQVNTE3PnzgXQNIY9JiYGV69ehaOjI2JiYjBw4EBW0P7f//4XBgYGKC4uhpmZGRQUFJihDC2FhIQwNzdWrlwJd3d31NXVoVu3brCxsYGNjQ2z7saNG5GcnIxjx47Bz8+PSXdzc8OCBQsAACtWrEBUVBTS09NhYWGBxMREdOrUCd999x04HA6App4tPXr0QHp6OlxcXNq8NkRKSkoQHR0tsVeQnp5eq5+R0NBQrF+/vs28CSGEEPL+oGD7X6akpAT19fWsVj51dXWYm5u3u+2AAQOYv1VUVKCqqoq//vqr1fX5fD7q6uqY4Fikvr4ednZ2Mu0PAHR1dVn7O3fuHDZt2gQ+n4/q6mo0NDSgrq4OtbW1UFFRAdA0Prl5sNc8j4cPH+Lu3buYPXs2EzwAQENDA9TU1AA0dakGwOpuLAvRGGZRy19r0tLSoKGhAWtrawDAtWvX4OjoyAQEAFh11hoej8cE2oD4OWvL6NGj4eDggEOHDrEC2ujoaFRXV2PVqlVS5dOcn58fKxBqSRRgNj/OtkRFRWH06NGstBUrVuDly5esNHNzc+Tn56OyshJJSUmYMWMGMjIymID7+fPnrdZpVlYWampqkJOTg5UrV8LU1JS5yQSI12lZWRkrkG9oaMCLFy9YwfTUqVNZE9+Zm5uLDcO4d+8ea6x3a9fexx9/zPxtbW2NIUOGwMTEBAkJCVi2bBmrnI2NjRAIBFBSUoKSkhJMTU0lHnNrmn8GO3fuzLpGAUBbWxsAmGssLy8P586dE7uRADR995iZmUm9P11dXSZvQ0ND1NbWYv369UhJScH9+/fR0NCA58+fi7VsN89DNHlc8/LdvHmT9RkBgLq6OpSUlABo+9oAgPv372Ps2LGYMGGC2I0YoOm8t/Z5X7VqFauOqqurWS37hBBCCHm/ULD9L9Oy9UwWXbt2Zb3ncDhtznYsWnbixAlmHLJIW+OcpdnfnTt34Obmhvnz5yM4OBjq6urIzs7G7Nmz8eLFizbzEJ0DUV7ffvstPvjgA9Z6omBTQ0MDHA4HT58+bbe8koi62bccU9tS8y7kQMfrSdY6as7d3R1JSUng8/msgCotLQ05OTlidWZvbw8fHx9Wl3tZiYKva9euSZyhuyUdHR2xgFFVVVVsNnsFBQVmPXt7e1y6dAnbtm1DbGwsgKYW99bqtE+fPgCaAtmKigoEBQWxgu2Wddq7d29Wi/Hhw4eRlJTEmkStZZfk5uUTaTlhnaamJoCm7uRtXT8qKiqwtrZmegk0L6eysjJzcyArK4sVqEuyevVq1qRfkq6n5mmimySia6yxsREeHh4Se2CIgue2tJX38uXLcfr0aYSHh8PU1BRKSkoYP348a0bw1srcvHyDBg2SOMGd6BxramqKTTgncv/+fTg7O2PIkCFiY8FFnjx50mp9KSoqSvXdRwghhJD3AwXb/zKmpqbo2rUrcnJyYGhoCKDpx3xxcbHY2NRXZWVlBUVFRZSVlbWat6ircsuWyfbk5uaioaEBERERzFjfQ4cOyZSHtrY29PT0cOvWLfj4+LRaPisrK/D5fJmfsw0AhYWF0NfXZwInSYRCIY4fP459+/YxaVZWVmKPuWo+wdfrEBYWBi6Xi1GjRiE9PZ1prd2+fTs2btzIrHf//n24urrixx9/FLtJIStbW1tYWVkhIiICkyZNEhu3XVlZKZfZ7YVCIWuMtZ2dHfh8vszbAeJ12qVLF1bgrKWl1aFW5JZMTEzQvXt38Pn8NluEBQIBrl27xpotX1TOgQMHMu870o1cVgMHDkRSUhJ4PF6rs90rKCjI/HkHmm4W+Pr64rPPPgPQNCRGliENovL9+OOP0NLSanVMtp2dHWJiYiAUClk9Lu7duwdnZ2cMGjQIcXFxEucYELWQS9NzhxBCCCHvP5og7V+Gy+Vi9uzZWL58OVJTU1FYWAhfX1+JPxxflaqqKvz9/bF06VIkJCSgpKQEV65cwc6dO5nWUCMjI3A4HKSkpODhw4es2cTbYmJigoaGBkRHR+PWrVvYv39/h55PHRQUhNDQUGzbtg3FxcUoKChAXFwcIiMjmXVcXV2RnZ3N2q6+vh75+fnIz89HfX097t27h/z8fNy8eZO1XlZWVrtBel5eHmprazF8+HAmbf78+SgpKcGyZctw/fp1/PDDDzI9v7yjwsPD4ePjg5EjRzKTShkaGqJ///7MSxT4mZiYtDvWf8eOHRg1alSryzkcDuLi4lBcXIzhw4fj5MmTuHXrFq5evYqQkBBWa7+0Vq9ejaysLJSWlqKgoACBgYFIT09n3VCRVKc7d+7E8ePHcePGDdy4cQNxcXEIDw/H1KlTWetJU6fy0KlTJ4wePVqsnP7+/sjIyMDt27dx4cIFjB8/HtXV1ZgxY0ab5RTdAGjr9arB9sKFC/HkyRN4e3szs3KfOXMGs2bNYgJsHo+HCxcuoLS0FI8ePZK654WpqSkOHz6M/Px8/P7775gyZYrMzxH38fGBpqYmvLy8kJWVhdu3byMjIwP/+c9/8OeffwIAnJ2dUVtby3pU3P379+Hk5AQDAwOEh4fj4cOHePDgAR48eMDKX9QDRJohH4QQQgh5/1Gw/S+0ZcsWDB8+HJ6enhg9ejQ+/PBDDBo06LXsKzg4GOvWrUNoaCgsLS3h6uqK48ePM1119fT0sH79eqxcuRLa2tptju9tztbWFpGRkfjmm2/Qv39/HDhwAKGhoTKXb86cOfjuu+8QHx8Pa2trjBgxAvHx8Uz5AGDu3Lk4efIkqqqqmLT79+/Dzs4OdnZ2KC8vR3h4OOzs7FhjOOvq6pCcnMwaDy7J0aNH4e7uzmoJNDQ0RFJSEo4fPw4bGxvs3r1bbKbo1yUqKgoTJ07EyJEjUVxc/Ep5PXr0iBkL25rBgwcjNzcXJiYmmDt3LiwtLeHp6YmioiJs3bpV5n1WVFRg2rRpMDc3x6hRo3DhwgWcOnWKNXfA1KlTwefzWY+WamxsxKpVq2Brawt7e3tER0cjLCyMNaGetHUqL/PmzUNiYiIrqPzzzz/h7e0Nc3NzjBs3DgoKCsjJyWFN1nbv3j2cP38eM2fO/EfKKdK7d2/8+uuvePnyJVxdXdG/f3/85z//gZqaGnNDz9/fH507d4aVlRV69eolNua6NVFRUejZsyeGDh0KDw8PuLq6slrupaGsrIzMzEwYGhpi3LhxsLS0xKxZs/D8+XOmpVtDQwPjxo1jdTU/c+YMbt68ibS0NOjr60NXV5d5NXfw4EH4+PjINGM/IYQQQt5fHOGrDOIl5P9LT0+Hs7Mznj59Kpduv2+biRMnws7OTqZJwnbu3ImjR4/izJkzYst8fX1RWVmJI0eOYMCAAVizZg3zeKTXycnJCba2th0KYqXR/LjedgEBAaiqqmLGcUujrTp9HYRCIRwdHbFkyRLWuPH2LF++HFVVVa2OKyZtKygowOjRoyVOptaahw8fwsLCArm5uaybdW2prq6Gmpoaqqqq2n3UGCGEkPdD1NlXa8ggslk6pu3JWTtClv/f1LJN5EpfX1+moOBdsWXLFokzLLela9euiI6OZqWJnnUsajWrr6/H559/3u7EVfK0a9cucLncVieB6oiWx/UuCAwMhJGRkUzjhyXV6evE4XCwZ88eNDQ0yLSdlpYWgoODX1Op3n/W1tbYvHmzTGPCb9++jV27dkkdaBNCCCHk/Uct20Qunj9/jnv37gFoGhcu6Rm65M2fp3v37jGPlDI0NGQmqHtVb/q4CHkXUcs2IYT8+1DL9j/rTbds02zkRC7kMfvyv8GbPk8tH8EmL2/6uAghhBBCCHnbUDdyQgghhBBCCCFEzijYJoQQQgghhBBC5IyCbUIIIYQQQgghRM4o2CaEEEIIIYQQQuSMJkgjhBBCCCGEkH/A65gdm7y9qGWbEEIIIYQQQgiRMwq2CSGEEEIIIYQQOaNgmxBCCCGEEEIIkTMKtgkhhBBCCCGEEDmjYJsQQgghhBBCCJEzCrYJIYQQQgghhBA5o0d/EUIIIYQQQuQi6mzxmy7CW40e/fXvQi3bhBBCCCGEEEKInFGwTQghhBBCCCGEyBkF24QQQgghhBBCiJxRsE0IIYQQQgghhMgZBduEEEIIIYQQQoicUbBNCCGEEEIIIYTIGQXbhBBCCCGEEEKInL3WYNvJyQlLlixh3vN4PGzdulXq7dPT08HhcMDhcPDpp5/KvTxv2t69e+Hi4iLTNuPHj0dkZCQr7VXOk2jbyspKAEB8fDx69OghUx5OTk7M/vPz8yXm2xHyrv9/QlpaGiwsLNDY2Cj1NpLq9J/i6+v7Vp3bjpw/f39/LF68+DWW6s16/PgxtLS0UFpaKvU2O3bsgKen5+sr1Gsg6/+H123t2rWYN2+e1OsLBAIYGhoiLy/vNZaKEEIIIe+Sd6Jl+/r164iPj5d6fXkEeq+bQCDAunXrsHbtWiatqKgIn3/+OXg8HjgcjsQfnuvWrUNISAiqq6uZtKFDh6K8vBwTJ06UuC8nJyfs3r1b/gfRzNy5c1FeXo7+/ftLtX5paSlmz56NPn36QElJCSYmJvj6669RX1/PrNPecbXn5s2bmDlzJvT19aGoqIg+ffrA29sbubm5zDocDgdHjhwR27ZlEBoTE4MBAwage/fu6N69O4YMGYKff/5ZbLuAgAAEBgaiU6emj1Z2djaGDRsGDQ0NKCkpwcLCAlFRUaxtJNWpvJWWlrJuhrytWp6/8vJyTJkyBebm5ujUqZPEm2UBAQGIi4vD7du3X2nf9fX12Lx5M2xsbKCsrAxNTU0MGzYMcXFxePHiBQAgNDQUDg4OUFVVhZaWFj799FNcv36dlU9rQWNQUBBsbW2Z9/Hx8czNpOavuro61nahoaHw8PAAj8cTy/Px48fQ19cX+76bO3cuLl26hOzs7Fc5Ja9FR27o/dMqKiqwbds2rF69mklrr+4VFRXh7++PFStWvIkiE0IIIeQt9E4E21paWm/9jzNZJSUlgcvl4qOPPmLSnj17BmNjY4SFhUFHR0fidgMGDACPx8OBAweYNAUFBejo6EBJSUls/SdPnuD8+fPw8PCQ/0E0o6ysDB0dHXTp0kWq9f/44w80NjYiNjYWRUVFiIqKwu7du1k/bts6rvbk5uZi0KBBKC4uRmxsLPh8PpKTk2FhYYGvvvpK5vz09fURFhaG3Nxc5ObmYuTIkfDy8kJRURGzzvnz53Hjxg1MmDCBSVNRUYGfnx8yMzNx7do1rFmzBmvWrMGePXuYdSTVaUvx8fFwcnKSudzvEknnTyAQoFevXggMDISNjY3E7bS0tODi4vJKN5Tq6+vh6uqKsLAwzJs3D+fPn8fFixexcOFCREdHM/WckZGBhQsXIicnB2fPnkVDQwNcXFxQW1vbof12794d5eXlrFe3bt2Y5c+fP8fevXsxZ84cidvPnj0bAwYMEEtXVFTElClTEB0d3eq+RTdgiLi9e/diyJAhrBsc0tS9j48PsrKycO3atTdQakIIIYS8beQWbNfW1mL69OngcrnQ1dVT8I/uAAAgAElEQVRFREREu9twOBx89913+Oyzz6CsrIy+ffvi2LFj7W4nFAqxefNmGBsbQ0lJCTY2Nvjpp58ANP2AdHZ2BgD07NkTHA4Hvr6+zLaNjY0ICAiAuro6dHR0EBQUxMo7MjIS1tbWUFFRgYGBARYsWICamhpmuahV5vTp07C0tASXy8XYsWNRXl7OyicuLg6Wlpbo1q0bLCwssGvXLtbyxMREsW6eDg4O2LJlCyZPngxFRcVWj9/T0xMHDx5s9zwBwIkTJ2BjYwM9PT0AwMmTJ2FmZgYlJSU4Ozu32zVV1Bq3f/9+8Hg8qKmpYfLkyfj777+l2r/I8+fP4e7uDkdHRzx58gRjx45FXFwcXFxcYGxsDE9PT/j7++Pw4cMy5SuJUCiEr68v+vbti6ysLLi7u8PExAS2trb4+uuvcfToUZnz9PDwgJubG8zMzGBmZoaQkBBwuVzk5OQw6yQmJsLFxYUVLNnZ2cHb2xv9+vUDj8fD1KlT4erqiqysLFb+stRpa9q65vr06cOUh8PhiAXu4eHh0NXVhYaGBhYuXMi05ALA999/D3t7e6iqqkJHRwdTpkzBX3/9xSwX9SRJTU2Fvb09lJWVMXToULEW3+PHj2PQoEHo1q0bjI2NsX79ejQ0NDDLJZ0/Ho+Hbdu2Yfr06VBTU2v12F/1/G3duhWZmZlITU3FwoULYWtrC2NjY0yZMgUXLlxA3759AQCnTp2Cr68v+vXrBxsbG8TFxaGsrKzDXYc5HA50dHRYr+Z+/vlndOnSBUOGDBHbNiYmBpWVlfD395eYt6enJ44cOYLnz593qGyi77qUlBSYm5tDWVkZ48ePR21tLRISEsDj8dCzZ08sWrQIL1++ZLarr69HQEAA9PT0oKKigg8++ADp6ekAmq6VmTNnoqqqimnJb/4d/OzZM8yaNQuqqqowNDRk3ZQCgBUrVsDMzAzKysowNjbG2rVrWdeqNN9Xbf3/EJH0/SxN3WtoaGDo0KGv/FkmhBBCyPtBbsH28uXLce7cOSQnJ+PMmTNIT0+X6gfo+vXrMXHiRFy9ehVubm7w8fHBkydP2txmzZo1iIuLQ0xMDIqKirB06VJMnToVGRkZMDAwQFJSEoCm7ufl5eXYtm0bs21CQgJUVFRw4cIFbN68GRs2bMDZs2eZ5Z06dcL27dtRWFiIhIQEpKWlISAggLX/Z8+eITw8HPv370dmZibKyspYP3i//fZbBAYGIiQkBNeuXcOmTZuwdu1aJCQkMOtkZWXB3t6+3fMjyeDBg3Hx4kUIBIJ21z127Bi8vLwAAHfv3sW4cePg5uaG/Px8zJkzBytXrmw3j5KSEhw5cgQpKSlISUlBRkYGwsLCpC5vVVUVXFxcUF9fj9TUVKirq7e6XmvLmgsKCpLYpVYkPz8fRUVF+Oqrr5juyM29ai+Jly9fIjExEbW1tawgKDMzs906vXLlCs6fP48RI0aw0mWpU0nau+YuXrwIAPjll19QXl7Ouqlx7tw5lJSU4Ny5c0hISEB8fDxr2EZ9fT2Cg4Px+++/48iRI7h9+zbrBpZIYGAgIiIikJubiy5dumDWrFnMstOnT2Pq1KlYvHgx+Hw+YmNjER8fj5CQEGYdac5fawYPHoy7d+/izp07TBqXy23z9fHHHzPrHjhwAKNHj4adnZ1Y3l27doWKiorE/VZVVQGAVNetJDU1NTAyMoK+vj4++eQTXLlyhbW8tXPC5/OxYcMG7Nu3T+I1DgD29vZ48eIFU/cd8ezZM2zfvh2JiYk4deoU0tPTMW7cOJw8eRInT57E/v37sWfPHlawOnPmTPz6669ITEzE1atXMWHCBIwdOxY3btzA0KFDsXXrVlaLfvPvzoiICNjb2+PKlStYsGABvvzyS/zxxx/MclVVVcTHx4PP52Pbtm349ttvxYZltPd91db/DwB4+vQpCgsL270WW6v7wYMHi91MI4QQQsi/k3R9fttRU1ODvXv3Yt++fRgzZgyApqBWX1+/3W19fX3h7e0NANi0aROio6Nx8eJFjB07VuL6tbW1iIyMRFpaGhPoGBsbIzs7G7GxsRgxYgTz40dS9/MBAwbg66+/BgD07dsXO3bsQGpqKlPu5mNC+/Tpg+DgYHz55ZesVsIXL15g9+7dMDExAQD4+flhw4YNzPLg4GBERERg3LhxTD6iAGPGjBmorKxEZWUlevfu3e75kURPTw8CgQAPHjyAkZFRq+sJBAKcPn0a69atA9DUEmZsbIyoqChwOByYm5ujoKAA33zzTZv7a2xsRHx8PFRVVQEA06ZNQ2pqKitQak1FRQUmTZoEExMTHDx4EAoKChLXKykpQXR0tFQ9IjQ1NZlzL8mNGzcAABYWFu3mBQDe3t7o3LkzK00gEMDd3Z2VVlBQgCFDhqCurg5cLhfJycmwsrJilpeWlrZap/r6+nj48CEaGhoQFBQk1i1Y2jptTXvXXK9evQA0tby1bD3t2bMnduzYgc6dO8PCwgLu7u5ITU3F3LlzAYAVNBsbG2P79u0YPHgwampqwOVymWUhISHMTYSVK1fC3d0ddXV16NatG0JCQrBy5UrMmDGDySc4OBgBAQHM57Gt89ceUc+N0tJS5vy1Nz69+fCEGzduyNxNXygUYtmyZfjwww/F5ipYsWIF1qxZw0qrr69nXS8WFhaIj4+HtbU1qqursW3bNgwbNgy///4705Iu6ZwIBAJ4e3tjy5YtMDQ0xK1btySWT0VFBT169EBpaanYzR1pvXjxAjExMcznbfz48di/fz8qKirA5XJhZWUFZ2dnnDt3DpMmTUJJSQkOHjyIP//8kym3v78/Tp06hbi4OGzatAlqampMi35Lbm5uWLBgAXMOo6KikJ6eznyWm59THo+Hr776Cj/++CPrhmhb31fS/P+4c+cOhEJhm9diW3Wvp6fXao8hgUDAuqH2OudpIIQQQsibJ5dgu6SkBPX19axWPnV1dZibm7e7bfPxhioqKlBVVWV1UW2Jz+ejrq6OCY5F6uvrJbZKtbU/ANDV1WXt79y5c9i0aRP4fD6qq6vR0NCAuro61NbWMq1bysrKrGCveR4PHz7E3bt3MXv2bCZYAYCGhgamG6yoW2fz7rKyEAUJz549a3O9tLQ0aGhowNraGgBw7do1ODo6ssZpSuqe2hKPx2N+uALi56wto0ePhoODAw4dOiQW0Ircv38fY8eOxYQJE1odm9qcn58f/Pz8Wl0uFAoBQOrxqFFRURg9ejQrbcWKFayusQBgbm6O/Px8VFZWIikpCTNmzEBGRgYTQD1//rzVOs3KykJNTQ1ycnKwcuVKmJqaMjeZAPE6LSsrYwVmDQ0NePHiBSu4nTp1Knbv3i3VNdeWfv36sepGV1cXBQUFzPsrV64gKCgI+fn5ePLkCTNTeMsyNv9s6erqAgD++usvZobmS5cusW7QvHz5EnV1dXj27BmUlZXbPH/tkfSZMDU1lXp7oVAo8/hlPz8/XL16VeIkZMuXLxdr/d++fTsyMzOZ946OjnB0dGTeDxs2DAMHDkR0dDS2b98OQPI1tWrVKlhaWmLq1KntllFJSYl1Tvr168e0/os+J82vKSMjI9Y8BC2/67S1tcHj8VjbaGtrM98Hly9fhlAohJmZGascAoEAGhoa7Za3+TUkCsibf9f89NNP2Lp1K27evImamho0NDSge/furDza+r6S5v+HNN/PbdV9y3PeXGhoKNavX99qvoQQQgh5v8gl2Bb9aOuIrl27st5zOJw2H/sjWnbixAmmNUukrXHO0uzvzp07cHNzw/z58xEcHAx1dXVkZ2dj9uzZrHGBkvIQnQNRXt9++y0++OAD1nqigEZDQwMcDgdPnz5tt7ySiLrZi1orW9O8CznQ8XqStY6ac3d3R1JSEvh8PhP0N3f//n04OztjyJAhYuMzO0r0Q//atWus2Z9bo6OjIxaYqaqqis1mr6CgwKxnb2+PS5cuYdu2bYiNjQXQ1OLeWp2KxkxbW1ujoqICQUFBrGC7ZZ327t2b1TJ7+PBhJCUlsSZREwUZ0lxzbWmrfmtra+Hi4gIXFxd8//336NWrF8rKyuDq6sqaOb5lPqLAVZRPY2Mj1q9fz7S8NycKato6f+2R9JloHhBK8tFHHzEzypuZmck0qdWiRYtw7NgxZGZmSuzBo6mpKXZNtdfVvFOnTnBwcGB6ZojyaXlO0tLSUFBQwHTdFn2uNTU1ERgYyArmnjx5wjonJ0+eZL7L7t27BycnJ9Z11vJakHRttHW9NDY2onPnzsjLyxO79tqrj9b2J8o7JycHkydPxvr16+Hq6go1NTUkJiaK9YZpr3xA2/8/NDU1ATR1J5f0Hdte3bc8582tWrUKy5YtY95XV1fDwMBA4rqEEEIIeffJJdg2NTVF165dkZOTA0NDQwBNP1SKi4s73H2xNVZWVlBUVERZWVmreYu6KrdsmWxPbm4uGhoaEBERwYyDPHTokEx5aGtrQ09PD7du3YKPj0+r5bOysgKfz5f5OdsAUFhYCH19feZHoSRCoRDHjx/Hvn37mDQrKyuxx1w1n+DrdQgLCwOXy8WoUaOQnp7Oagm9d+8enJ2dMWjQIMTFxbU69lRWtra2sLKyQkREBCZNmiSWb2VlpVxmtxcKhawuoXZ2duDz+TJvB4jXaZcuXVjBmpaWFpSUlCS21kp7zQGyfyb++OMPPHr0CGFhYUxQ0PzRadIaOHAgrl+/3mZrs7TnT5LCwkJ07doV/fr1Y9Jk6UY+ZcoUrF69GleuXBHrIdPQ0ACBQAAVFRUIhUIsWrQIycnJSE9PZ26iyINQKER+fj7rppSdnR2+//571npJSUmsSc8uXbqEWbNmISsri9UKXVJSgrq6OtbxNB+iIHpygCw9ANpjZ2eHly9f4q+//mI9aaE5BQUFma9DAPj1119hZGSEwMBAJq35GH1pSPP/w8TEBN27dwefz2e10Etb94WFha32slJUVJTqpjAhhBBC3g9yCba5XC5mz56N5cuXQ0NDA9ra2qxn5cqTqqoq/P39sXTpUjQ2NuLDDz9EdXU1zp8/Dy6XixkzZsDIyAgcDgcpKSlwc3ODkpKSVK0qJiYmaGhoQHR0NDw8PPDrr7926HFCQUFBWLx4Mbp3746PP/4YAoEAubm5ePr0KdOq4erqiuzsbNYY8fr6eibYqK+vx71795Cfnw8ul8v6QZyVldVukJ6Xl4fa2loMHz6cSZs/fz4iIiKwbNkyfPHFF8jLy5Pp+eUdFR4ejpcvX2LkyJHM+Mv79+/DyckJhoaGCA8Px8OHD5n1W3vsmciOHTuQnJyM1NRUics5HA7i4uIwevRoDB8+HKtXr4aFhQVqampw/PhxnDlzhpkMSVqrV6/Gxx9/DAMDA/z9999ITExEeno6Tp06xazj6urKmgQPAHbu3AlDQ0NmzGl2djbCw8OxaNEi1nrS1Glb2rvmRMH6qVOnoK+vj27duknVxdzQ0BAKCgqIjo7G/PnzUVhYiODgYJnLt27dOnzyyScwMDDAhAkT0KlTJ1y9ehUFBQXYuHEjAMnnD/i/oLmmpgYPHz5Efn4+c8NKJCsrCx999BErgJYliFyyZAlOnDiBUaNGITg4GB9++CFUVVWRm5uLb775Bnv37oWtrS0WLlyIH374AUePHoWqqioePHgAAFBTU5P5EXXr16+Ho6Mj+vbti+rqamzfvh35+fnYuXMns46rqytWrVqFp0+fomfPngAgNl/Bo0ePAACWlpasm0hZWVkwNjZuc34DeTMzM4OPjw+mT5+OiIgI2NnZ4dGjR0hLS4O1tTXc3NzA4/FQU1OD1NRU5pnmysrK7eZtamqKsrIyJCYmwsHBASdOnEBycrJM5ZPm/0enTp0wevRoZGdn49NPP2W2lbbus7KyOvQZIYQQQsj7R27R8JYtWzB8+HB4enpi9OjR+PDDDzFo0CB5Zc8SHByMdevWITQ0FJaWlnB1dcXx48eZlgY9PT2sX78eK1euhLa2dpvje5uztbVFZGQkvvnmG/Tv3x8HDhxAaGiozOWbM2cOvvvuO2byoxEjRiA+Pp7VEjJ37lycPHmSmdEWaOpSbWdnBzs7O5SXlyM8PBx2dnasccx1dXVITk5mjc2V5OjRo3B3d2c999rQ0BBJSUk4fvw4bGxssHv3bmzatEnm4+uIqKgoTJw4ESNHjkRxcTHOnDmDmzdvIi0tDfr6+tDV1WVe7Xn06BFKSkraXGfw4MHIzc2FiYkJ5s6dC0tLS3h6eqKoqAhbt26VufwVFRWYNm0azM3NMWrUKFy4cAGnTp1ijf2cOnUq+Hw+65FXjY2NWLVqFWxtbWFvb4/o6GiEhYWxJtSTtk7b0t4116VLF2zfvh2xsbHo3bs3a3hBW3r16oX4+Hj873//g5WVFcLCwhAeHi5z+VxdXZGSkoKzZ8/CwcEBjo6OiIyMZLW0Sjp/AJjPRF5eHn744QfY2dnBzc2Ntc7Bgwdf6fwpKiri7NmzCAgIQGxsLBwdHeHg4IDt27dj8eLFzCRYMTExqKqqgpOTE+ua/fHHH2XeZ2VlJebNmwdLS0u4uLjg3r17yMzMxODBg5l1rK2tYW9vL3MPG+DVz0lHxcXFYfr06fjqq69gbm4OT09PXLhwgekZMXToUMyfPx+TJk1Cr169sHnzZqny9fLywtKlS+Hn5wdbW1ucP38ea9eulbl87f3/AIB58+YhMTGRNVxGmrr/7bffUFVVhfHjx8tcLkIIIYS8fzjCVxlw/Zqlp6fD2dkZT58+lUu337fNxIkTYWdnh1WrVkm9zc6dO3H06FGcOXNGbJmvry8qKytx5MgRDBgwAGvWrMHEiRPlWWSJnJycYGtr26EgVhrNj+ttFxAQgKqqKmYctzTaqtN/m46cvxMnTmD58uW4evUq6+bS++LkyZPw9/dHYWGh1L2FCgsLMWrUKBQXF0vVg4GwCYVCODo6YsmSJay5FdozYcIE2NnZYfXq1VKtX11dDTU1NVRVVYlN9EYIIe+qqLPFb7oIb7WlY8zaX4m81WT5/y3/ft6vgb6+vkw/eN4VW7Zskap7e3Ndu3ZFdHQ0Ky0rKwtcLpeZPKu+vh6ff/456znCr9uuXbvA5XJZs1i/qpbH9S4IDAyEkZGRTGNSJdXpv1VHzl9tbS3i4uLey0AbaHoc1hdffIF79+5Jvc39+/exb98+CrQ7iMPhYM+ePWhoaJB6G4FAABsbGyxduvQ1lowQQggh75K3umX7+fPnzA9MLpfb7ljef6s3fZ7u3bvHTNgkGuMrD2/6uAgh5HWilm1CyPuIWrbbRi3b7z5Z/n+/1U1Brc2+TNje9Hlq+QgdeXnTx0UIIYQQQgghHfVOdCMnhBBCCCGEEELeJRRsE0IIIYQQQgghckbBNiGEEEIIIYQQImcUbBNCCCGEEEIIIXL2Vk+QRgghhBBCCHl30GzbhPwfatkmhBBCCCGEEELkjIJtQgghhBBCCCFEzijYJoQQQgghhBBC5IyCbUIIIYQQQgghRM4o2CaEEEIIIYQQQuSMgm1CCCGEEEIIIUTO6NFfhBBCCCGEkPdO1NniN10EMfRotH8XatkmhBBCCCGEEELkjIJtQgghhBBCCCFEzijYJoQQQgghhBBC5IyCbUIIIYQQQgghRM4o2CaEEEIIIYQQQuSMgm1CCCGEEEIIIUTOKNgmhBBCCCGEEELkjIJtQgghhBBCCCFEzijYfgVOTk5YsmQJ857H42Hr1q1Sb5+eng4OhwMOh4NPP/1U7uV50/bu3QsXFxeZthk/fjwiIyNZaa9ynkTbVlZWAgDi4+PRo0cPmfJwcnJi9p+fny8x344oLS1l8rW1te1wPtKYNm0aNm3aJPX6AoEAhoaGyMvLe42lkq+O1O3r9PjxY2hpaaG0tFTqbXbs2AFPT8/XV6jXbPjw4fjhhx+kXr+goAD6+vqora19jaWSXVpaGiwsLNDY2Cj1Nv7+/li8ePFrLBUhhBBC3jUUbL8Frl+/jvj4eKnXl0eg97oJBAKsW7cOa9euZdKKiorw+eefg8fjgcPhSLwxsW7dOoSEhKC6uppJGzp0KMrLyzFx4kSJ+3JycsLu3bvlfxDNzJ07F+Xl5ejfv7/U21y+fBljxoxBjx49oKGhgXnz5qGmpoZZbmBggPLycnz11Vcyl8fX11fijQdJ18bVq1dx4sQJLFq0iLW9KNAXvRwdHZnlioqK8Pf3x4oVK2Qu2z9B1htbb0JoaCg8PDzA4/EAAL///ju8vb1hYGAAJSUlWFpaYtu2baxt5s6di0uXLiE7O/uV9i0UCrFnzx588MEH4HK56NGjB+zt7bF161Y8e/YMABAUFCTxJo/oJpDoxtLjx48xduxY9O7dG4qKijAwMICfnx/rMwoAKSkpePDgASZPnsykffHFFzAxMYGSkhJ69eoFLy8v/PHHH8xya2trDB48GFFRUa90vBwOB0eOHBFLb/k5CQ0NhYODA1RVVaGlpYVPP/0U169fF9suICAAgYGB6NTp//5FHjhwADY2NlBWVoauri5mzpyJx48fs7aJi4vD7du3X+lYCCGEEPL+oGD7LaClpfVWtcjJQ1JSErhcLj766CMm7dmzZzA2NkZYWBh0dHQkbjdgwADweDwcOHCASVNQUICOjg6UlJTE1n/y5AnOnz8PDw8P+R9EM8rKytDR0UGXLl2kWv/+/fsYPXo0TE1NceHCBZw6dQpFRUXw9fVl1uncuTN0dHTA5XJfU6mb7NixAxMmTICqqiorfezYsSgvL2deJ0+eZC338fFBVlYWrl271mrevr6+CAoKeh3Ffqc9f/4ce/fuxZw5c5i0vLw89OrVC99//z2KiooQGBiIVatWYceOHcw6ioqKmDJlCqKjo19p/9OmTcOSJUvg5eWFc+fOIT8/H2vXrsXRo0dx5swZmfLq1KkTvLy8cOzYMRQXFyM+Ph6//PIL5s+fz1pv+/btmDlzJitAHTRoEOLi4nDt2jWcPn0aQqEQLi4uePnyJbPOzJkzERMTw0pricfjIT09XaZyS5KRkYGFCxciJycHZ8+eRUNDA1xcXFgt6+fPn8eNGzcwYcIEJi07OxvTp0/H7NmzUVRUhP/973+4dOkSq361tLTg4uLy2m/8EUIIIeTdQcG2lGprazF9+nRwuVzo6uoiIiKi3W04HA6+++47fPbZZ1BWVkbfvn1x7NixdrcTCoXYvHkzjI2NoaSkBBsbG/z0008AmlqdnJ2dAQA9e/YEh8NhBXCNjY0ICAiAuro6dHR0xAKhyMhIWFtbQ0VFBQYGBliwYAGrtVXUFff06dOwtLQEl8tlgrLm4uLiYGlpiW7dusHCwgK7du1iLU9MTBTrDuvg4IAtW7Zg8uTJUFRUbPX4PT09cfDgwXbPEwCcOHECNjY20NPTAwCcPHkSZmZmUFJSgrOzc7tdeEWte/v37wePx4OamhomT56Mv//+W6r9izx//hzu7u5wdHTEkydPkJKSgq5du2Lnzp0wNzeHg4MDdu7ciaSkJNy8eVOmvF9FY2Mj/ve//0nsmqyoqAgdHR3mpa6uzlquoaGBoUOHSl0XkvB4PGzcuJH57BgZGeHo0aN4+PAhvLy8wOVyYW1tjdzcXNZ258+fx/Dhw6GkpAQDAwMsXryYCYicnJxw584dLF26lGmVb66ta/fSpUsYM2YMNDU1oaamhhEjRuDy5cus7aX53PL5fLi5uYHL5UJbWxvTpk3Do0ePmOU///wzunTpgiFDhjBps2bNwvbt2zFixAgYGxtj6tSpmDlzJg4fPszK29PTE0eOHMHz5887cMaBQ4cO4cCBAzh48CBWr14NBwcH8Hg8eHl5IS0tjfn+kFbPnj3x5Zdfwt7eHkZGRhg1ahQWLFiArKwsZp1Hjx7hl19+EbvO5s2bh+HDh4PH42HgwIHYuHEj7t69y/pcurq64vHjx8jIyOjQ8cri1KlT8PX1Rb9+/WBjY4O4uDiUlZWxhkskJibCxcUF3bp1Y9JycnLA4/GwePFi9OnTBx9++CG++OILsetWlu8uQgghhLz/KNiW0vLly3Hu3DkkJyfjzJkzSE9Pl2o86/r16zFx4kRcvXoVbm5u8PHxwZMnT9rcZs2aNYiLi0NMTAyKioqwdOlSTJ06FRkZGTAwMEBSUhKApu7n5eXlrK6oCQkJUFFRwYULF7B582Zs2LABZ8+eZZZ36tQJ27dvR2FhIRISEpCWloaAgADW/p89e4bw8HDs378fmZmZKCsrg7+/P7P822+/RWBgIEJCQnDt2jVs2rQJa9euRUJCArNOVlYW7O3t2z0/kgwePBgXL16EQCBod91jx47By8sLAHD37l2MGzcObm5uyM/Px5w5c7By5cp28ygpKcGRI0eQkpKClJQUZGRkICwsTOryVlVVwcXFBfX19UhNTYW6ujoEAgEUFBRYrXyilvn2ugjHx8eLBZAddfXqVVRWVkqsi/T0dGhpacHMzAxz587FX3/9JbbO4MGDWUFVR0RFRWHYsGG4cuUK3N3dMW3aNEyfPh1Tp07F5cuXYWpqiunTp0MoFAJoGsfr6uqKcePG4erVq/jxxx+RnZ0NPz8/AMDhw4ehr6+PDRs2MK3yIu1du3///TdmzJiBrKws5OTkoG/fvnBzcxO7udLW57a8vBwjRoyAra0tcnNzcerUKVRUVLCGOWRmZkp1/VdVVYnd5LC3t8eLFy9w8eJFJq1fv37gcrmtvvr168ese+DAAZibmzOfi+Y4HA7U1NTaLVdb7t+/j8OHD2PEiBFMWnZ2NpSVlWFpadnqdrW1tYiLi0OfPn1gYGDApCsoKMDGxuaVr7OOqKqqAgBWHUiqu6FDh+LPP//EyZMnIRQKUVFRgZ9++gnu7u6s9QYPHoy7d+/izp07EvcnEAhQXV3NehFCCCHk/SVdn9h/uZqaGuzduxf79u3DmDFjADQFtfr6+u1u6+vrC29vbwDApk2bEAz1EjUAACAASURBVB0djYsXL2Ls2LES16+trUVkZCTS0tKYVjFjY2NkZ2cjNjYWI0aMYH4YSup+PmDAAHz99dcAgL59+2LHjh1ITU1lyt18ArU+ffogODgYX375Jatl+sWLF9i9ezdMTEwAAH5+ftiwYQOzPDg4GBERERg3bhyTD5/PR2xsLGbMmIHKykpUVlaid+/e7Z4fSfT09CAQCPDgwQMYGRm1up5AIMDp06exbt06AEBMTAyMjY0RFRUFDocDc3NzFBQU4Jtvvmlzf42NjYiPj2e6WU+bNg2pqakICQlpt6wVFRWYNGkSTExMcPDgQSgoKAAARo4ciWXLlmHLli34z3/+g9raWqxevRoAxHoJtKSmpgZzc/N2952SkiLWBb1lV9zS0lJ07twZWlparPSPP/4YEyZMgJGREW7fvo21a9di5MiRyMvLY/U60NPTk2mCL0nc3NzwxRdfAGgakx8TEwMHBwemm+6KFSswZMgQVFRUQEdHB1u2bMGUKVOYa7Vv375Mi3BMTAzU1dXRuXNnqKqqig1HaO/aHTlyJGv92NhY9OzZExkZGfjkk0+Y9LY+tzExMRg4cCBrwrn//ve/MDAwQHFxMczMzFBaWtru9f/bb7/h0KFDOHHiBCtdRUUFPXr0QGlpKRPQnjx5Ei9evGg1r65duzJ/37hxQ6rrB2i6sdHyGhLd9GjJ29sbR48exfPnz+Hh4YHvvvuOWVZaWgptbW3WzSWRXbt2ISAgALW1tbCwsMDZs2eZz4mIPK4zb29vdO7cmZUmEAjEAmIRoVCIZcuW4cMPP2TNxSCp7oYOHYoDBw5g0qRJqKurQ0NDAzw9PcW6+4t62JSWlkr87goNDcX69es7dHyEEEIIefdQy7YUSkpKUF9fz+oSqq6uLtUP2gEDBjB/q6ioQFVVVWILogifz0ddXR3GjBnDarnat28fSkpKZNofAOjq6rL2d+7cOYwZMwZ6enpQVVXF9OnT8fjxY9aYRWVlZSZYaZnHw4cPcffuXcyePZtVvo0bNzLlE3V/bd4NUxaiFmDRRE6tSUtLg4aGBqytrQEA165dg6OjI6tVuHmdtYbH47HGM7c8Z20ZPXo0jI2NcejQIVYA0a9fPyQkJCAiIoIZ721sbAxtbW2xgKClzz77jDWJVGucnZ2Rn5/PejUPgICmulBUVBRrKZ80aRLc3d3Rv39/eHh44Oeff0ZxcbFY4KekpMSqhwMHDrDq/cCBA9i0aZNYWnPNr0ltbW0AYOqseZronOfl5SE+Pp6Vp6urKxobG9udfKqta1e0j/nz58PMzAxqampQU1NDTU0NysrKWi1zy89tXl4ezp07xyqfhYUFALA+A21d/0VFRfDy8sK6deuYG2HNtTzvRkZGMDU1bfXVPLATCoVS94wwNzcXu4Zajt0XiYqKwuXLl3HkyBGUlJRg2bJlzLK2jtfHxwdXrlxBRkYG+vbti4kTJ6Kurq7N450/fz7r/JaVleHjjz8WS2tZvpbH0tbM7n5+frh69apYt29Jx8Ln87F48WKsW7cOeXl5OHXqFG7fvi02br29765Vq1ahqqqKed29e7fV8hFCCCHk3Uct21JoraVHGs1bnICmbpxtPU5GtOzEiRNMK4lIW+OcpdnfnTt34Obmhvnz5yM4OBjq6urIzs7G7NmzWa1mkvIQnQNRXt9++y0++OAD1nqiIFJDQwMcDgdPnz5tt7ySiLrr9urVq831mnchBzpeT7LWUXPu7u5ISkoCn89nBZAAMGXKFEyZMgUVFRVQUVEBh8NBZGQk+vTp06FytqSiogJTU1NW2p9//sl6r6mpiWfPnqG+vl6sNbE5XV1dGBkZ4caNG6z0J0+esOrB09OTVe8rVqyAnp4e65FHouBZpPn5FQWBktJE57yxsRFffPGFxMcoGRoatnoMLfMV5d38uvD19cXDhw+xdetWGBkZQVFREUOGDEF9fX27+TQvn4eHh8QeE7q6ugCazntr1z+fz8fIkSMxd+5crFmzRuI6Lc97v379Wu2aDDQF40VFRQAAMzOzNie1a05BQUHsGmptEkDR2H4LCwtoaGjgo48+wtq1a6Grq9vm8YpuavTt2xeOjo7o2bMnkpOTmZ4DouNtfpNkw4YNrO7/Tk5O+Oabb1jXXsvWZx0dHbFjUVVVlfjUhkWLFuHYsWPIzMwU66Ek6VhCQ0MxbNgwLF++HEDTzRgVFRV89NFH2LhxI1Pv7X13KSoqSvU9TgghhJD3AwXbUjA1NUXXrl2Rk5PD/Nh/+vQpiouLWeMW5cHKygqKioooKytrNW9R0NTW7L2S5ObmoqGhAREREUx3z0OHDsmUh7a2NvT09HDr1i34+Pi0Wj4rKyvw+XyZn7MNAIWFhdDX14empmar6wiFQhw/fhz79u1j0qysrMQe/5OTkyPz/mURFhYGLpeLUaNGIT09HVZWVmLriILP//73v+jWrZvElszXRfRoJz6f3+azvB8/foy7d+8yQYNIYWEh7OzsmPeqqqqsXgCqqqpQV1cXC3JexcCBA1FUVNRmngoKCjJf/0DTXAK7du2Cm5sbgKZx/s0nNpO2fElJSeDxeK0GpnZ2dvj+++/F0ouKijBy5EjMmDGj1WEKJSUlqKurY513WbqRT5kyBZMnT8bRo0fFxm0LhUJUV1e/8rht0Q0M0bwKdnZ2ePDgAZ4+fYqePXu2u23L+RgKCwsxfvx45r2WlhZr6EOXLl2gp6f3yteZUCjEokWLkJycjPT0dIk3vuzs7MDn81lpz549E6tr0c3F5jdzCgsL0bVrV9YYekIIIYT8e1E3cilwuVzMnj0by5cvR2pqKgoLC+Hr6ytxfOKrUlVVhb+/P5YuXYqEhASUlJTgypUr2LlzJzMBmZGRETgcDlJSUvDw4UPWbOJtMTExQUNDA6Kjo3Hr1i3s37+/Q4+pCQoKQmhoKLZt24bi4mIUFBQgLi4OkZGRzDqurq5iE4HV19cz3Tvr6+tx79495Ofni83OnZWV1W6QnpeXh9raWgwfPpxJmz9/PtO99fr16/jhhx9ken55R4WHh8PHxwcjR45kdf/esWMHLl++jOLiYuzcuRN+fn4IDQ1t9zFvycnJTLfkV9WrVy8MHDiQVRc1NTXw9/fHb7/9htLSUqSnp8PDwwOampr47LPPWNtLUxfytmLFCvz2229YuHAh8vPzceP/sXf/cTXe///AH4eoUyc/ipR+F/1aUsRofhQpamVGtfxso9mGNpZEorT8LjZN8mOFebO9l1B8lJWITITp10TTssqG6pTSSXV9/+h2rm9X51TnJG9mz/vtdm63zvW6Xq/rdb2uc53O83q9rtd19y5OnTrFeU64gYEBLl68iNLSUrmC5SFDhuDw4cMoKCjA1atXMWfOHKmPlOvIkiVLUFFRAW9vb2RlZeH3339HSkoKPvroI/YCgLOzM/Ly8jg9pHl5eXBwcMCUKVOwYsUKPHz4EA8fPsSjR4845WdkZMDIyIjT0yvPMHJPT094eXnB29sbmzZtwvXr1/HHH38gKSkJjo6OOH/+vFz7e+bMGcTGxiI3NxfFxcU4c+YMPv30U7zzzjvsM8RtbGwwcOBAXL58mc33+++/Y9OmTcjOzkZJSQmuXLkCT09P8Pl89mIH0HJ/c2lpKRwdHeWqV1csWbIE33//Pf7zn/9AVVWVPQatZ36X9t3l5uaG48ePIzo6Gr///jsuX74MPz8/jB49mtPDnpGRgfHjx8v9mSKEEELIm4mCbRlt27YNEyZMgLu7OxwdHTFu3DiMHDnypWwrLCwM69atw6ZNm2Bubg5nZ2ckJiayvTDa2toIDQ1FYGAgBg0axM7S3Blra2tERkZiy5YtsLS0xJEjR7Bp0ya567do0SLs378fcXFxGDZsGCZOnIi4uDhOL5Gvry/OnDnDzvYLtMxibGNjAxsbG5SXl2P79u2wsbHhPKu2vr4eCQkJ8PX17bAOJ0+ehKurK6e3SU9PD/Hx8UhMTMTw4cOxZ88eziRWL9OOHTvg6emJSZMmobCwEACQlZWFKVOmYNiwYdi7dy9iYmKkDo1uSygU4s6dO91Wt48//phzH3XPnj2Rk5OD6dOnw8TEBAsWLICJiQmuXLnC6bW+cuUKhEIhp8fxf8HKygoXLlzA3bt3MX78eNjY2LDDlcU2bNiA4uJiGBsbd3q7QWvfffcdKisrYWNjg3nz5sHPz09i8rjODB48GJcvX0ZTUxOcnZ1haWmJzz//HH379mUvwA0bNgy2trackSP//e9/8ejRIxw5cgRaWlrsa9SoUZzyjx492unnvyM8Hg//+c9/EBkZiYSEBEycOBFWVlYICQnB9OnT4ezsLFd5fD4f+/btw7hx42Bubo4vvvgC7777LpKSkth1evbsiY8++ojzOVNSUkJGRgZcXFwwZMgQeHp6QkVFBZmZmZw2P3r0KJycnDqcDLG7REdHQygUwt7ennMMfvjhB3aduXPnIj8/n3MO+vj4IDIyElFRUbC0tISHhwdMTU0lHtv2oseOEEIIIW8WHvMiNySTF5Keng4HBwdUVlZ22tv5T+Tp6QkbGxusXr1a5jzffvstTp48iZSUFIk0Hx8fVFVV4cSJE7CyssLatWs5j1t6Wezt7WFtbY2dO3e+lPJDQkJw4sQJ3Lp166WUX19fD1NTUxw7dkymCePEPDw8YGNjw86iTuRz5swZ+Pv7Izc3V+ZRMLm5uZg8eTIKCwtfeKj3/9pff/2Ft956C9nZ2TIHziKRCEOHDsXRo0fxzjvvvOQayi4gIABCoRAxMTEy5zl9+jRWrlyJ27dvt3t7QVviIf1CoRB9+vTpanUJIYS0Y8e5wlddBQnLp5i86iqQFyTP/2/q2X4N6OjocCYLelNs27ZN4rFCnenVq5fE43QyMjI4s1w3NDRg5syZmDZtWrfVtTO7d++GQCBATk5Ot5VZUlICgUDw0nvflZSUcOjQIbmGW4tEIgwfPhzLly9/iTV7s4kfeVZaWipznrKyMhw6dOgfF2gDLXMTHDhwQGKW8I788ccfCAoKeq0CbQAICgqCvr6+XPMCiJ8jLmugTQghhJA3H/Vsv0LPnj1jf4gLBAKJZwaTFq+6nUpLS9l7OvX09Dqc1VsejY2N7LOFFRUVoaur2y3lEkL+GahnmxBCXi7q2SYvgzz/v+kS/CvE5/O7dRbnN9Wrbqe2j2DrLgoKCnT8CSGEEEIIeUPRMHJCCCGEEEIIIaSbUbBNCCGEEEIIIYR0Mwq2CSGEEEIIIYSQbkbBNiGEEEIIIYQQ0s1ogjRCCCGEEELIG4dm/iavGvVsE0IIIYQQQggh3YyCbUIIIYQQQgghpJtRsE0IIYQQQgghhHQzCrYJIYQQQgghhJBuRsE2IYQQQgghhBDSzWg2ckIIIYQQQsi/xo5zha9s2zRD+r8L9WwTQgghhBBCCCHdjIJtQgghhBBCCCGkm1GwTQghhBBCCCGEdDMKtgkhhBBCCCGEkG5GwTYhhBBCCCGEENLNKNgmhBBCCCGEEEK6GQXbhBBCCCGEEEJIN6NgmxBCCCGEEEII6WYUbJMXZm9vjy+++IJ9b2BggJ07d8qcPz09HTweDzweD++991631+dVO3DgAJycnOTKM2vWLERGRnKWvUg7ifNWVVUBAOLi4tCvXz+5yrC3t2e3f+vWLanldkVxcTFbrrW1dZfLkcW8efOwceNGmdcXiUTQ09NDdnb2S6zVqxUcHIyPP/5YrjyjRo3C8ePHX1KNXr20tDSYmZmhublZ5jzSzllCCCGE/LtRsE1eG3fu3EFcXJzM63dHoPeyiUQirFu3DsHBweyyvLw8zJw5EwYGBuDxeFIvTKxbtw7h4eGorq5ml9nZ2aG8vByenp5St2Vvb489e/Z0/0604uvri/LyclhaWsqcR7yfrV+BgYFsuq6uLsrLy/Hll1/KXR8fHx+pFx6kfTZu376N06dPY9myZZz8bes2ZswYNl1RURH+/v5YtWqV3HVr6969e/jwww+ho6MDRUVFGBoawtvbG9evXwfQctFh4cKFMDQ0BJ/Ph7GxMdavX4+GhoYO90usvYtcDMNg2rRp4PF4OHHiBCftr7/+wtdff401a9awy2pqavDFF19AX18ffD4fdnZ2uHbtGidfcHAwAgMD5QpGpXn48CGWLVsGIyMjKCoqQldXF25ubkhNTQUAVFRUYNmyZTA1NYWysjL09PTg5+cHoVDIliG+WCO+ANRa2wtvnR1vsYCAAAQFBaFHD8l/kZcvX4aCgoLEhSFp5ywhhBBC/t0o2CavDQ0NDbl7W1938fHxEAgEGD9+PLusrq4ORkZG2Lx5MzQ1NaXms7KygoGBAY4cOcIu6927NzQ1NcHn8yXWr6ioQGZmJtzc3Lp/J1pRVlaGpqYmFBQU5Mq3YcMGlJeXs6+1a9eyaT179oSmpiYEAkF3V5cjKioKHh4eUFVV5SyfOnUqp25nzpzhpM+ZMwcZGRkoKChot2wfHx+EhIS0m379+nWMHDkShYWFiImJQX5+PhISEmBmZsZeZPjtt9/Q3NyMmJgY5OXlYceOHdizZw8nEO6KnTt3gsfjSU07cOAAxo4dCwMDA3bZokWLcO7cORw+fBg5OTlwcnKCo6MjSktL2XVcXV0hFAqRnJzc5XoVFxdj5MiRSEtLw9atW5GTk4OzZ8/CwcEBS5YsAQCUlZWhrKwM27dvR05ODuLi4nD27FksXLiwy9vt7HhnZmbi7t278PDwkMgrFAoxf/58TJ48WSJN2jlLCCGEkH83CraJXGprazF//nwIBAJoaWkhIiKi0zw8Hg/79+/HjBkzoKysjKFDh+LUqVOd5mMYBlu3boWRkRH4fD6GDx+On376CUDLD3UHBwcAQP/+/cHj8eDj48PmbW5uRkBAANTU1KCpqSkRCEVGRmLYsGFQUVGBrq4uPvvsMzx9+pRNFw+zTk5Ohrm5OQQCAfsjvbXY2FiYm5tDSUkJZmZm2L17Nyf92LFjcHd35ywbNWoUtm3bhg8++ACKiort7r+7uzuOHj3aaTsBwOnTpzF8+HBoa2sDAM6cOQMTExPw+Xw4ODiguLi4w/whISGwtrbG4cOHYWBggL59++KDDz5ATU2NTNsXe/bsGVxdXTFmzBhUVFSwy1VVVaGpqcm+XnZg3VZzczP++9//ShwLoKX3unXd1NTUOOnq6uqws7OT+Vi0xTAMfHx8MHToUGRkZMDV1RXGxsawtrbG+vXrcfLkSQAtQWBsbCycnJxgZGQEd3d3+Pv7v9Bw7V9//RWRkZH47rvvpKa3/Xw+e/YM8fHx2Lp1KyZMmIAhQ4YgJCQEhoaGiI6OZtfr2bMnXFxcutwmAPDZZ5+Bx+MhKysLs2bNgomJCd566y2sWLECv/zyCwDA0tIS8fHxcHNzg7GxMSZNmoTw8HAkJiaisbGxS9vt7HgfO3YMTk5OUFJSksi7ePFizJ49G2PHjpVatjznLCGEEELefBRsE7msXLkS58+fR0JCAlJSUpCeni7T/ayhoaHw9PTE7du34eLigjlz5nCCMWnWrl2L2NhYREdHIy8vD8uXL8fcuXNx4cIF6OrqIj4+HkDL8PPy8nJ8/fXXbN6DBw9CRUUFV69exdatW7FhwwacO3eOTe/Rowe++eYb5Obm4uDBg0hLS0NAQABn+3V1ddi+fTsOHz6MixcvoqSkBP7+/mz6vn37EBQUhPDwcBQUFGDjxo0IDg7GwYMH2XUyMjJga2vbaftIM3r0aGRlZUEkEnW67qlTpzB9+nQAwIMHD/D+++/DxcUFt27dwqJFizjDtttTVFSEEydOICkpCUlJSbhw4QI2b94sc32FQiGcnJzQ0NCA1NRUThCzZcsWqKurw9raGuHh4Zyh0e2Ji4trt0dWXrdv30ZVVZXUY5Geng4NDQ2YmJjA19cXf//9t8Q6o0ePRkZGRpe2fevWLeTl5eHLL7+UOiy5o9EcQqFQIhiUVV1dHby9vREVFSV1BEVlZSVyc3M5bdLY2IimpiaJQJPP5+PSpUucZW3bJCMjAwKBoMOX+H75iooKnD17FkuWLIGKiopE3Tprkz59+sg9ukKss+N98eJFqZ+T2NhYFBUVYf369e2W3dk5KxKJUF1dzXkRQggh5M3VtV8r5F/p6dOnOHDgAA4dOoQpU6YAaAlqdXR0Os3r4+MDb29vAMDGjRuxa9cuZGVlYerUqVLXr62tRWRkJNLS0theJCMjI1y6dAkxMTGYOHEiG4RIG35uZWXF/igeOnQooqKikJqayta79X2choaGCAsLw6effsrpmX7+/Dn27NkDY2NjAMDSpUuxYcMGNj0sLAwRERF4//332XLy8/MRExODBQsWoKqqClVVVRg8eHCn7SONtrY2RCIRHj58CH19/XbXE4lESE5Oxrp16wAA0dHRMDIywo4dO8Dj8WBqaoqcnBxs2bKlw+01NzcjLi6OHWY9b948pKamIjw8vNO6/vXXX/Dy8oKxsTGOHj2K3r17s2mff/45RowYgf79+yMrKwurV6/G/fv3sX///g7L7Nu3L0xNTTvddlJSkkRPeVNTE+d9cXExevbsCQ0NDc7yadOmwcPDA/r6+rh//z6Cg4MxadIkZGdnc0YdaGtrdzo6oD13794FAJiZmcmVr6ioCLt27ZI6ekTaOVdXV8d5v3z5ctjZ2bEXYdr6448/wDAM5/OpqqqKsWPHIiwsDObm5hg0aBCOHj2Kq1evYujQoZz82traKCkpQXNzM3r06AFbW1up9023Jj5n7927B4Zh5G6TJ0+eICwsDIsXL5ZIs7Ozk7iY8ezZM8691bIc7+LiYolz9u7duwgMDERGRkaHQX5n5+ymTZsQGhoq1z4TQggh5J+Lgm0is6KiIjQ0NHCGUKqpqckUEFlZWbF/q6ioQFVVVWoPolh+fj7q6+vZ4FisoaEBNjY2cm0PALS0tDjbO3/+PDZu3Ij8/HxUV1ejsbER9fX1qK2tZXvalJWV2UC7bRmPHj3CgwcPsHDhQvj6+rLrNDY2om/fvgBafugDkDocVRbie7PbBlFtpaWlQV1dHcOGDQMAFBQUYMyYMZxe4faGvbZmYGDAuZ+5bZt1xNHREaNGjcKPP/6Inj17ctKWL1/O/m1lZYX+/ftj1qxZbG93e2bMmIEZM2Z0um0HBwfOEGcAuHr1KubOncu+f/bsGRQVFSV6yr28vNi/LS0tYWtrC319fZw+fZq9iAK0HIvWx+HIkSOcgE8kEoHH42H79u3sspiYGMyZMwcMwwCAXL30ZWVlmDp1Kjw8PLBo0SKJ9IyMDIl7z+3t7dm/T506hbS0NNy8ebPdbbT3+Tx8+DA++ugjaGtro2fPnhgxYgRmz56NGzducNbj8/lobm6GSCQCn88Hn8/HkCFDZNq/rrRJdXU1XF1dYWFhIbV3+YcffoC5uTln2Zw5czjvZTnez54947RJU1MTZs+ejdDQUJiYmHRYx87O2dWrV2PFihWcfdLV1e2wTEIIIYT8c1GwTWQm/oHcFb169eK85/F4Hc5kLE47ffo0ex+yWEf3OcuyvT/++AMuLi745JNPEBYWBjU1NVy6dAkLFy7E8+fPOyxD3Abisvbt24e3336bs5442FRXVwePx0NlZWWn9ZVGPMx+4MCBHa7Xegg50PXjJO8xas3V1RXx8fHIz89ng/72iGd/vnfvXofBtqxUVFQkgrw///yT837AgAGoq6tDQ0MDp9e9LS0tLejr67O90WIVFRWc4+Du7s457qtWrYK2tjb8/PzYZYMGDQIANkArKCiQ6dFmZWVlcHBwwNixY7F3716p6xgaGkqM5mjd45qWloaioiKJdWbOnInx48cjPT0dAwYMANAynLz1vhkbG+PChQuora1FdXU1tLS04OXlBUNDQ4k2UVZWZgPMjIwMTJs2rcN9W7NmDdasWYOhQ4eCx+OhoKBApsfY1dTUYOrUqRAIBEhISJD4rAIts9q3/RxIm0ywNWnHe8CAAZxztqamBtevX8fNmzexdOlSAC3nP8MwUFBQQEpKCiZNmgSg83NWUVFRpu8vQgghhLwZKNgmMhsyZAh69eqFX375BXp6egBafqgXFhZi4sSJ3botCwsLKCoqoqSkpN2yxUFT2yHDnbl+/ToaGxsRERHBDjv98ccf5Spj0KBB0NbWxu+//y7Re9a6fhYWFsjPz5f7OdsAkJubCx0dHTYokoZhGCQmJuLQoUPsMgsLC4lHPIknnHpZNm/eDIFAgMmTJyM9PR0WFhbtrivubdXS0nqpdWpNHOTm5+d3GPA+efIEDx48kKhbbm4uZ0SFqqoqp2dZVVUVampqUnt2ra2tYWFhgYiICHh5eUkMda6qqmKD4tLSUjg4OGDkyJGIjY2Veo+3LAIDAyV6xIcNG4YdO3awM9YbGxujT58+yM/Pl9pjq6KiAhUVFVRWViI5ORlbt27lpOfm5mLEiBHse3mGkaupqcHZ2Rnffvst/Pz8JO7bbt0m1dXVcHZ2hqKiIk6dOtXlkSLSSDveNjY2yM/PZ9/36dMHOTk5nHy7d+9GWloafvrpJ85FCFnOWUIIIYT8e1CwTWQmEAiwcOFCrFy5Eurq6hg0aFC7z6J9UaqqqvD398fy5cvR3NyMcePGobq6GpmZmRAIBFiwYAH09fXB4/GQlJQEFxcX8Pl8mWa5NjY2RmNjI3bt2gU3Nzdcvny5S8+nDgkJgZ+fH/r06YNp06ZBJBLh+vXrqKysZIeKOjs749KlS5x7xBsaGtgf8w0NDSgtLcWtW7cgEAg4wVpGRkanQXp2djZqa2sxYcIEdtknn3yCiIgIrFixAosXL0Z2drZczy/vqu3bt6OpqQmTJk1Ceno6zMzMcOXKFfzyyy9wcHBA3759ce3aNSxfvhzu7u7sBZv2JCQkYPXq1fjtt99euG4DBw7EiBEjcOnSJTbYfvr0KUJCQjBz5kxoaWmhuLgYa9aswYABClzasAAAIABJREFUAySGr2dkZCAsLKxL2+bxeIiNjYWjoyMmTJiANWvWwMzMDE+fPkViYiJSUlJw4cIFlJWVwd7eHnp6eti+fTsePXrEltHeI+LaI55puy09PT02OOzRowccHR1x6dIlTu9ycnIyGIaBqakp7t27h5UrV8LU1BQffvghp6y2n095hpEDLQGrnZ0dRo8ejQ0bNsDKygqNjY04d+4coqOjUVBQgJqaGjg5OaGurg7ff/89Z1KxgQMHStyy0BFZj7ezszNnksMePXpIPFdeQ0MDSkpKEstlOWcJIYQQ8u9Bs5ETuWzbtg0TJkyAu7s7HB0dMW7cOIwcOfKlbCssLAzr1q3Dpk2bYG5uDmdnZyQmJrLBgra2NkJDQxEYGIhBgwaxQzw7Y21tjcjISGzZsgWWlpY4cuQINm3aJHf9Fi1ahP379yMuLg7Dhg3DxIkTERcXx+np8vX1xZkzZyAUCtllZWVlsLGxgY2NDcrLy7F9+3bY2NhweiLr6+uRkJDAuR9cmpMnT8LV1ZUzhFhPTw/x8fFITEzE8OHDsWfPHnYW6Jdtx44d8PT0xKRJk1BYWAhFRUX88MMPsLe3h4WFBdatWwdfX1+ZHo8kFApx586dbqvbxx9/zHkGcs+ePZGTk4Pp06fDxMQECxYsgImJCa5cucLptb5y5QqEQiFmzZrV5W2PHj0a169fh7GxMXx9fWFubg53d3fk5eVh586dAICUlBTcu3cPaWlp0NHRgZaWFvt6WT7++GMcO3aMc7uAUCjEkiVLYGZmhvnz52PcuHFISUnhDN0uLS1FZmamRAAuD0NDQ9y4cQMODg748ssvYWlpiSlTpiA1NZW9Bz87OxtXr15FTk4OhgwZwmmTBw8eyLU9WY/33LlzkZ+fL/dnT9ZzlhBCCCH/HjzmRW7EJaQbpKenw8HBAZWVlR0+8uefytPTEzY2Nli9erXMeb799lucPHkSKSkpEmk+Pj6oqqrCiRMnYGVlhbVr18LT07M7qyyVvb09rK2t2eCwu4WEhODEiROdDkXuqvr6epiamuLYsWMyTRgn5uHhARsbG6xZs+al1OtVYhgGY8aMwRdffME+LUAWK1euhFAobPee8n+6gIAACIVCxMTEyJyno3O2PdXV1ejbty/7ODNCCCH/GzvOFb6ybS+f0vFkm+T1J8//b+rZJq8NHR0duX7w/1Ns27ZNpuHtrfXq1Qu7du3iLBM/x1jcO9vQ0ICZM2d2OilVd9q9ezcEAoHEPawvoqSkhPMM5pdFSUkJhw4dwuPHj2XOIxKJMHz4cM6M6m8SHo+HvXv3orGxUa58GhoaXR5W/08QFBQEfX19ueaDkHbOEkIIIeTfjXq2ySv37NkzlJaWAmi5L1ze+1P/LV51O5WWlrKPi9LT0+twVm95NDY2ss+wVlRUpEchkX8N6tkmhJBXg3q2yYuQ5/83TZBGXjl5J1b6t3rV7dT2EWzdRUFBgY4/IYQQQgh549AwckIIIYQQQgghpJtRsE0IIYQQQgghhHQzCrYJIYQQQgghhJBuRsE2IYQQQgghhBDSzWiCNEIIIYQQQsi/Bs0ITv5XqGebEEIIIYQQQgjpZhRsE0IIIYQQQggh3YyCbUIIIYQQQgghpJtRsE0IIYQQQgghhHQzCrYJIYQQQgghhJBuRsE2IYQQQgghhBDSzejRX4QQQgghhBDyP7DjXOFLKZceZ/Z6op5tQgghhBBCCCGkm1GwTQghhBBCCCGEdDMKtgkhhBBCCCGEkG5GwTYhhBBCCCGEENLNKNgmhBBCCCGEEEK6GQXbhBBCCCGEEEJIN6NgmxBCCCGEEEII6WavbbBtb2+PL774gn1vYGCAnTt3ypw/PT0dPB4PPB4P7733XrfX51U7cOAAnJyc5Moza9YsREZGcpa9SDuJ81ZVVQEA4uLi0K9fP7nKsLe3Z7d/69YtqeV2RXcf/9dFV477qFGjcPz48ZdUo1cvLS0NZmZmaG5uljmPtHPhTdKVNvH394efn99LrFX7QkJCYG1t/Uq2Lc2dO3egqamJmpoamfNERUXB3d39JdaKEEIIIf80r22w3V3u3LmDuLg4mdfvjkDvZROJRFi3bh2Cg4PZZXl5eZg5cyYMDAzA4/GkXphYt24dwsPDUV1dzS6zs7NDeXk5PD09pW7L3t4ee/bs6f6daMXX1xfl5eWwtLSUaf3WgXTb17Vr1wB0vl+duXfvHj788EPo6OhAUVERhoaG8Pb2xvXr1wEAxcXFWLhwIQwNDcHn82FsbIz169ejoaFBop7SPkttLx61vuggfn3wwQecPNKOe2vHjh2TenEhODgYgYGBcgVe0jx8+BDLli2DkZERFBUVoaurCzc3N6SmpgIAKioqsGzZMpiamkJZWRl6enrw8/ODUChkyyguLuZcWGmt7QUtHx8fiTYZM2aMRL6AgAAEBQWhRw/Jr7PLly9DQUFBIpCTdi50RXV1NYKCgmBmZgYlJSVoamrC0dERx48fB8MweP78OVatWoVhw4ZBRUUFgwcPxvz581FWVsYph8fj4cSJExLl+/j4tHuxaNOmTeDxeFIvAkprk2+//Rbm5ubg8/kwNTXFoUOHJPLExsbi/v37XWkKmbW3r6+ToKAgLFmyBKqqqgCA+vp6+Pj4YNiwYVBQUJB6THx9fXHt2jVcunTpf11dQgghhLym3vhgW0NDQ+7e1tddfHw8BAIBxo8fzy6rq6uDkZERNm/eDE1NTan5rKysYGBggCNHjrDLevfuDU1NTfD5fIn1KyoqkJmZCTc3t+7fiVaUlZWhqakJBQUFmdYXB9KtX4sWLYKBgQFsbW0BdLxfnbl+/TpGjhyJwsJCxMTEID8/HwkJCTAzM8OXX34JAPjtt9/Q3NyMmJgY5OXlYceOHdizZw/WrFkj9/bExBcdxK+YmBhOurTjLvbHH3/A399fapqrqyuEQiGSk5Pb3XZISAh8fHzaTS8uLsbIkSORlpaGrVu3IicnB2fPnoWDgwOWLFkCACgrK0NZWRm2b9+OnJwcxMXF4ezZs1i4cKGMLSBp6tSpnDY5c+YMJz0zMxN3796Fh4eHRF6hUIj58+dj8uTJEmnSzgV5VVVVwc7ODocOHcLq1atx48YNXLx4EV5eXggICIBQKERdXR1u3LiB4OBg3LhxA8ePH0dhYeEL94Beu3YNe/fuhZWVlUSatDaJjo7G6tWrERISgry8PISGhmLJkiVITExk19HQ0ICTk1OHF9fS09NhYGDwQnV/3f355584deoUPvzwQ3ZZU1MT+Hw+/Pz84OjoKDWfoqIiZs+ejV27dv2vqkoIIYSQ19xrEWzX1tZi/vz5EAgE0NLSQkRERKd5eDwe9u/fjxkzZkBZWRlDhw7FqVOnOs3HMAy2bt0KIyMj8Pl8DB8+HD/99BOAloDCwcEBANC/f3/weDxOANLc3IyAgACoqalBU1MTISEhnLIjIyPZHixdXV189tlnePr0KZsuHmadnJwMc3NzCAQCNphoLTY2Fubm5lBSUoKZmRl2797NST927JjEj/VRo0Zh27Zt+OCDD6CoqNju/ru7u+Po0aOdthMAnD59GsOHD4e2tjYA4MyZMzAxMQGfz4eDgwOKi4s7zC8eGnr48GEYGBigb9+++OCDD+QamgkAz549g6urK8aMGYOKigo2kBa/1NXVcerUKXz00Ufg8Xhyld0WwzDw8fHB0KFDkZGRAVdXVxgbG8Pa2hrr16/HyZMnAbQEgbGxsXBycoKRkRHc3d3h7+//QsO1xRcdxK++ffty0qUdd6AlEJgzZw5CQ0NhZGQkkd6zZ0+4uLjIfNyl+eyzz8Dj8ZCVlYVZs2bBxMQEb731FlasWIFffvkFAGBpaYn4+Hi4ubnB2NgYkyZNQnh4OBITE9HY2Nil7SoqKnLaRE1NjZN+7NgxODk5QUlJSSLv4sWLMXv2bIwdO1Zq2fKcC9KsWbMGxcXFuHr1KhYsWAALCwuYmJjA19cXt27dgkAgQN++fXHu3Dl4enrC1NQUY8aMwa5du5CdnY2SkpIubffp06eYM2cO9u3bh/79+0ukS2uTw4cPY/HixfDy8oKRkRE++OADLFy4EFu2bOHkfdE2AYDExESMHDkSSkpKMDIyQmhoKHv8xYH6jBkzwOPxJAL3jr4rzp49i3HjxqFfv35QV1fHu+++i6KiIjZdPGri+PHjcHBwgLKyMoYPH44rV65wtpGZmYkJEyaAz+dDV1cXfn5+qK2tZdN//PFHDB8+HDo6OuwyFRUVREdHw9fXt92LmUBL+504cQLPnj2Tu90IIYQQ8uZ5LYLtlStX4vz580hISEBKSgrS09ORnZ3dab7Q0FB4enri9u3bcHFxwZw5c1BRUdFhnrVr1yI2NhbR0dHIy8vD8uXLMXfuXFy4cAG6urqIj48H0DL8vLy8HF9//TWb9+DBg1BRUcHVq1exdetWbNiwAefOnWPTe/TogW+++Qa5ubk4ePAg0tLSEBAQwNl+XV0dtm/fjsOHD+PixYsoKSmBv78/m75v3z4EBQUhPDwcBQUF2LhxI4KDg3Hw4EF2nYyMDLYHV16jR49GVlYWRCJRp+ueOnUK06dPBwA8ePAA77//PlxcXHDr1i0sWrQIgYGBnZZRVFSEEydOICkpCUlJSbhw4QI2b94sc32FQiGcnJzQ0NCA1NRUiWBLXM/Hjx932DMrFhIS0mHP3K1bt5CXl4cvv/xS6rDkjkZJCIVCqfWT1ZEjRzBgwAC89dZb8Pf3l7go0d5x37BhAwYOHNhhD/Lo0aORkZHRpXpVVFTg7NmzWLJkCVRUVCTSO2uTPn36yDxqoa309HRoaGiwQezff//NSb948aLUNomNjUVRURHWr1/fbtltz4WSkhIIBIIOX5988gmAlgtvx44dw5w5czB48GCJsgUCQbv7LBQKwePxujziZsmSJXB1dW23h1Vam4hEIokLEnw+H1lZWXj+/Dm7bPTo0Xjw4AH++OOPLtUtOTkZc+fOhZ+fH/Lz8xETE4O4uDiEh4cDAHubR2xsLMrLy9n3QOffFbW1tVixYgWuXbuG1NRU9OjRAzNmzJC4PSIoKAj+/v64desWTExM4O3tzQb7OTk5cHZ2xvvvv4/bt2/jhx9+wKVLl7B06dIO209Wtra2eP78ObKysqSmi0QiVFdXc16EEEIIeXN17RdwN3r69CkOHDiAQ4cOYcqUKQBagtrWvQrt8fHxgbe3NwBg48aN2LVrF7KysjB16lSp69fW1iIyMhJpaWlsb5eRkREuXbqEmJgYTJw4kQ2WpA0/t7KyYn+8Dx06FFFRUUhNTWXr3freSUNDQ4SFheHTTz/l9Ew/f/4ce/bsgbGxMQBg6dKl2LBhA5seFhaGiIgIvP/++2w54h+tCxYsQFVVFaqqqqT+wJeFtrY2RCIRHj58CH19/XbXE4lESE5Oxrp16wC0DEM1MjLCjh07wOPxYGpqipycHImesbaam5sRFxfH3vs4b948pKamsj++O/LXX3/By8sLxsbGOHr0KHr37i11vQMHDsDZ2Rm6urqdljlgwAC27aW5e/cuAMDMzKzTslorKirCrl27pI7KkPZZrqur47yfM2cODA0NoampidzcXKxevRq//vorezGnveN++fJlHDhwQOo90K1pa2ujpKQEzc3NUi8idOTevXtgGEbuNnny5AnCwsKwePFiiTQ7OzuJejx79oxzb/W0adPg4eEBfX193L9/H8HBwZg0aRKys7PZ0RvFxcUSbXL37l0EBgYiIyOjwyC/7bkwePDgTtuxT58+AIDHjx+jsrJS7japr69HYGAgZs+ezZYl5u3tjZ49e3KWiUQiuLq6su+PHTuGGzducILUtqS1ibOzM/bv34/33nsPI0aMQHZ2Nr777js8f/4cjx8/hpaWFgCwo1iKi4s7/H5oT3h4OAIDA7FgwQIALd+vYWFhCAgIwPr16zFw4EAALRdo2vYQd/ZdMXPmTM76Bw4cgIaGBvLz8znzPfj7+7NtFhoairfeegv37t2DmZkZtm3bhtmzZ7Pf1UOHDsU333yDiRMnIjo6GkpKSuwtE12hoqKCfv36obi4GBMnTpRI37RpE0JDQ7tUNiGEEEL+eV55sF1UVISGhgbOUE81NTWYmpp2mrf1/YoqKipQVVWV6PlqLT8/H/X19WxwLNbQ0AAbGxu5tgcAWlpanO2dP38eGzduRH5+Pqqrq9HY2Ij6+nrU1tayPYLKysqcYK91GY8ePcKDBw+wcOFC+Pr6sus0NjayQ4rFwxOlDZuVhfge5rbBXltpaWlQV1fHsGHDAAAFBQUYM2YMZ5h2e8NzWzMwMGB/PAOSbdYRR0dHjBo1Cj/++KNEECL2559/Ijk5GT/++KNMZS5dupTTi9UWwzAAINdw9LKyMkydOhUeHh5YtGiRRHpGRganDYCWycBaa328LS0tMXToUNja2uLGjRsYMWKE1ONeU1ODuXPnYt++fRgwYECHdeTz+WhuboZIJAKfz0dGRgamTZvGpjc0NIBhGPaWCqBlmPSaNWu61CbV1dVwdXWFhYWF1N7lH374Aebm5pxlc+bM4bz38vJi/7a0tIStrS309fVx+vRp9mLUs2fPOG3S1NSE2bNnIzQ0FCYmJh3Wse25oKCggCFDhsi0f11pk+fPn+ODDz5Ac3OzxK0hALBjxw6J3upVq1ahqakJQMvoks8//xwpKSkdnv9t2wRomSTv4cOHGDNmDBiGwaBBg+Dj44OtW7dyzi1p3w8CgYD9u6mpCSKRiLNs/Pjx+L//+z8AQHZ2Nq5du8a5mNbU1IT6+nrU1dVBWVm53Xp39l1RVFSE4OBg/PLLL3j8+DHbo11SUsIJtlt/T4svIvz9998wMzNDdnY27t27x7lXn2EYNDc34/79+zA3N5fafvLg8/ntfr+uXr0aK1asYN9XV1fLdJGQEEIIIf9MrzzYFv9o7YpevXpx3vN4vA5nXBannT59mu3BEevoPmdZtvfHH3/AxcUFn3zyCcLCwqCmpoZLly5h4cKFnGGa0soQt4G4rH379uHtt9/mrCf+Qayurg4ej4fKyspO6yuNeJi9uIepPa2HkANdP07yHqPWXF1dER8fj/z8fDbobys2Nhbq6urd9sgdcYBWUFAg06OIysrK4ODggLFjx2Lv3r1S1zE0NJQYJdHZsOoRI0agV69euHv3LkaMGCH1uBcVFaG4uJgzgZ24bRUUFHDnzh32wk5FRQWUlZXZYMrW1pbTi/vNN9+gtLSUM1JBPMpj6NCh4PF4KCgokOkxajU1NZg6dSoEAgESEhIkPgMAoKurKxHYdjaZnZaWFvT19dnRB0DLSIXWbVJTU4Pr16/j5s2b7EWV5uZmMAwDBQUFpKSkYNKkSWybAP//XCgpKYGFhUWHdZg7dy727NmDgQMHon///igoKOhwfbHnz5/D09MT9+/fR1pamkSvNgBoampKtImqqio7m312djb+/vtvTq9rU1MTLl68iKioKIhEIvTs2VOiTYCWtv3uu+8QExODv/76C1paWti7dy9UVVU5F2qkfT+0/pxcvXoVq1atQnp6OqdssebmZoSGhrIXQ1rrLIDt7LvCzc0Nurq62LdvHwYPHozm5mZYWlpyngDQthzxxRBxOc3NzVi8eLHUR5zp6ekBkPxMyauioqLd71dFRUWZ/tcQQggh5M3wyoPtIUOGoFevXvjll1/YHzuVlZUoLCyUOgzvRVhYWEBRURElJSXtli0eqizuTZLV9evX0djYiIiICHZ4rKy9rWKDBg2CtrY2fv/9d4levtb1s7CwQH5+vtzPWwaA3Nxc6OjodNgTyjAMEhMTOY8GsrCwkHhcj3hirJdl8+bNEAgEmDx5MtLT0yUCIYZhEBsbi/nz50sN6LrC2toaFhYWiIiIgJeXl8RQ56qqKjZwLi0thYODA0aOHInY2Fi5h2d3JC8vD8+fP2d75qQddzMzM+Tk5HDyrV27FjU1Nfj66685PWa5ubkYMWIE+57P53MCOzU1NVRXV0vt2VVTU4OzszO+/fZb+Pn5Sdy33bpNqqur4ezsDEVFRZw6deqFegjbevLkCR48eMC2CQDY2NggPz+ffd+nTx+JNtm9ezfS0tLw008/wdDQkF3e9lyQZxh5jx494OXlhcOHD2P9+vUSw7Zra2uhqKgIBQUFNtC+e/cuzp8/D3V19S7t/+TJkyX27cMPP4SZmRlWrVrFXpBr2yat9erVi72t4dixY3j33Xc5n9vc3Fz06tULb731Frus9Wfizz//7HAEwIgRI3Dnzp0ORwj06tVL7u/XJ0+eoKCgADExMeyM+115xNaIESOQl5fXYf06ar/OFBUVob6+XqaRUoQQQgh5873yYFsgEGDhwoVYuXIl1NXVMWjQoHafmfuiVFVV4e/vj+XLl6O5uRnjxo1DdXU1MjMzIRAIsGDBAujr64PH4yEpKQkuLi7g8/mcIZPtMTY2RmNjI3bt2gU3Nzdcvny5S8+nDgkJgZ+fH/r06YNp06ZBJBLh+vXrqKysZIcfOjs749KlS5x7xBsaGtgfiA0NDSgtLWVnRG79wzIjI6PTID07Oxu1tbWYMGECu+yTTz5BREQEVqxYgcWLFyM7O1uu55d31fbt29HU1IRJkyYhPT2dc49sWloa7t+/L9ejpaKiopCQkMA+G7otHo+H2NhYODo6YsKECVizZg3MzMzw9OlTJCYmIiUlBRcuXEBZWRns7e2hp6eH7du349GjR2wZHc1WLE1RURGOHDkCFxcXDBgwAPn5+fjyyy9hY2ODd955h12v7XFXUlKSeDa5OOhtu1yW496R3bt3w87ODqNHj8aGDRtgZWWFxsZGnDt3DtHR0SgoKEBNTQ2cnJxQV1eH77//njMB1MCBA9u9FUCap0+fIiQkBDNnzoSWlhaKi4uxZs0aDBgwADNmzGDXc3Z25kwe2KNHD4l919DQkNpWbdtEnmHkQMs8Eenp6Xj77bcRHh4OW1tb9OrVCxkZGdi0aROuXbsGgUCAWbNm4caNG0hKSkJTUxMePnwIoOUiRnvzEEijqqoqsQ8qKipQV1fnLG/bJgBQWFiIrKwsvP3226isrERkZCQ7kWPbNhk/fnyXHpkHtDy//N1334Wuri48PDzQo0cP3L59Gzk5Ofjqq68AtAwXT01NxTvvvANFRUWpM6q31b9/f6irq2Pv3r3Q0tJCSUmJTBM0trVq1SqMGTMGS5Ysga+vL1RUVFBQUIBz586xj+xydnbGokWL0NTUxPnM5ufno6GhARUVFaipqWEvzLQeAZORkQEjI6MO54UghBBCyL/HazEb+bZt2zBhwgS4u7vD0dER48aN6/IENZ0JCwvDunXrsGnTJpibm8PZ2RmJiYlsj5e2tjZCQ0MRGBiIQYMGdXh/b2vW1taIjIzEli1bYGlpiSNHjmDTpk1y12/RokXYv38/4uLiMGzYMEycOBFxcXGcHjlfX1+cOXMGQqGQXVZWVgYbGxvY2NigvLwc27dvh42NDece4vr6eiQkJHDuD5bm5MmTcHV15Qx11tPTQ3x8PBITEzF8+HDs2bMHGzdulHv/umLHjh3w9PTEpEmTUFhYyC4/cOAA7OzsJO797cjjx485jwuSZvTo0bh+/TqMjY3h6+sLc3NzuLu7Iy8vDzt37gQApKSk4N69e0hLS4OOjg60tLTYl7x69+6N1NRUODs7w9TUFH5+fnBycsLPP//M+bEv7bjLorS0FJmZmZznBsvL0NAQN27cgIODA7788ktYWlpiypQpSE1NRXR0NICWizRXr15FTk4OhgwZwmmTBw8eyLW9nj17IicnB9OnT4eJiQkWLFgAExMTXLlyhXNf79y5c5Gfn487d+7IVb6s50JH+vfvj19++QVz587FV199BRsbG4wfPx5Hjx7Ftm3b0LdvX/aZzX/++Sesra05bZKZmdnlbXdEWps0NTUhIiICw4cPx5QpU1BfX4/MzEyJmfmPHj36Qm3i7OyMpKQknDt3DqNGjcKYMWMQGRnJmWwtIiIC586dg66ursw9wD169MCxY8eQnZ0NS0tLLF++HNu2bZO7flZWVrhw4QLu3r2L8ePHw8bGBsHBwZzz1sXFBb169cLPP//Myevi4gIbGxskJiYiPT2d/b5t7UXbjxBCCCFvFh7zIjdNv8bS09Ph4OCAysrKLj9i53Xm6ekJGxsbrF69WuY83377LU6ePImUlBSJNB8fH1RVVeHEiROwsrLC2rVr4enp2Z1Vlsre3h7W1tZsENvdWu/Xm6Arx33lypUQCoXt3lP+TxcQEAChUIiYmBiZ83R0LrwJutImp0+fxsqVK3H79u0uP6rtTbF7926cPHkSycnJMufJzc3F5MmTUVhYyE5o2Znq6mr07duXfUQeIYSQN9+Oc4Wdr9QFy6d0PDEs6T7y/P9+LXq2XyYdHR328WBvkm3btsk0vL21Xr16sUMlxTIyMiAQCNjZeRsaGjBz5kzOTNUv2+7duyEQCCTuR30RbffrTdGV466hoYGwsLCXVKNXLygoCPr6+nLdByztXHiTdKVNamtrERsb+68PtAHg448/xoQJEySedd+RsrIyHDp0SOZAmxBCCCFvvje2Z/vZs2coLS0F0HJfuLz30f5bvOp2Ki0tZR9rpaenJ9c9rB151ftFCCGdoZ5tQgj596Ge7X8+ef5/v7FdGG1nWybSvep2avsItu7yqveLEEIIIYQQ8u/2xg8jJ4QQQgghhBBC/tco2CaEEEIIIYQQQroZBduEEEIIIYQQQkg3o2CbEEIIIYQQQgjpZm/sBGmEEEIIIYQQ8jqhWcP/XahnmxBCCCGEEEII6WYUbBNCCCGEEEIIId2Mgm1CCCGEEEIIIaSbUbBNCCGEEEIIIYR0Mwq2CSGEEEIIIYSQbkbBNiGEEEIIIYQQ0s3o0V+EEEIIIYQQ0oEd5wq7pRx69Ne/C/VsE0IIIYQp2CWeAAAgAElEQVQQQggh3YyCbUIIIYQQQgghpJtRsE0IIYQQQgghhHQzCrYJIYQQQgghhJBuRsE2IYQQQgghhBDSzSjYJoQQQgghhBBCuhkF24QQQgghhBBCSDd74WDb3t4eX3zxBfvewMAAO3fulDl/eno6eDweeDwe3nvvvRetjkR9XrUDBw7AyclJrjyzZs1CZGQkZ9mLtJM4b1VVFQAgLi4O/fr1k6sMe3t7dvu3bt2SWu7LEhcXx277dTq2L2revHnYuHFjt5aZk5MDHR0d1NbWdmu5L5OPj0+3nPvdJS0tDWZmZmhubpY5j7Rz9p/iyZMn0NDQQHFxscx5oqKi4O7u/vIq9Yp1pU2SkpJgY2Mj1+eGEEIIIW+216Zn+86dO4iLi5N5/f9VoPciRCIR1q1bh+DgYHZZXl4eZs6cCQMDA/B4PKkXJtatW4fw8HBUV1ezy+zs7FBeXg5PT0+p27K3t8eePXu6fyda8fX1RXl5OSwtLWXOEx4eDjs7OygrK0sN8J88eYKpU6di8ODBUFRUhK6uLpYuXcrZdy8vL5SXl2Ps2LFdqvfNmzfh4eGBQYMGQUlJCSYmJvD19UVhYSEA4Ndff4W3tzd0dXXB5/Nhbm6Or7/+mlNGRxcoeDweTpw4wb53d3eHnp4elJSUoKWlhXnz5qGsrIyT5/bt2zh9+jSWLVvGLjt+/DicnZ0xYMAAzkUNaRiGwbRp0yS2PWzYMIwePRo7duyQvYH+R4qLizvdr9dBQEAAgoKC0KNHy9fj8ePHMWXKFAwcOBB9+vTB2LFjkZyczMkj7ZztiurqagQFBcHMzAxKSkrQ1NSEo6Mjjh8/DoZhALR/QbHtZ/TSpUt45513oK6uDj6fDzMzM6mfi02bNsHNzQ0GBgYAZDsnfX19ce3aNVy6dOmF9pdhGOzduxdvv/02BAIB+vXrB1tbW+zcuRN1dXUAgH379mH8+PHo378/+vfvD0dHR2RlZXHKkbVNWrt8+TIUFBRgbW0tkda2TQAgNTUVdnZ2UFVVhZaWFlatWoXGxkY2/d133wWPx8N//vOfrjQFIYQQQt5Ar02wraGhIXdv6+suPj4eAoEA48ePZ5fV1dXByMgImzdvhqamptR8VlZWMDAwwJEjR9hlvXv3hqamJvh8vsT6FRUVyMzMhJubW/fvRCvKysrQ1NSEgoKCzHkaGhrg4eGBTz/9VGp6jx49MH36dJw6dQqFhYWIi4vDzz//jE8++YRdh8/nQ1NTE71795a7zklJSRgzZgxEIhGOHDmCgoICHD58GH379mUvgmRnZ2PgwIH4/vvvkZeXh6CgIKxevRpRUVFybw8AHBwc8OOPP+LOnTuIj49HUVERZs2axVknKioKHh4eUFVVZZfV1tbinXfewebNmzvdxs6dO8Hj8aSmffjhh4iOjkZTU1O7+Q0MDJCeni7bDv2LZGZm4u7du/Dw8GCXXbx4EVOmTMGZM2eQnZ0NBwcHuLm54ebNm+w60s5ZeVVVVcHOzg6HDh3C6tWrcePGDVy8eBFeXl4ICAiAUCiUqzwVFRUsXboUFy9eREFBAdauXYu1a9di79697DrPnj3DgQMHsGjRInaZLOekoqIiZs+ejV27drW7ffHFlY7MmzcPX3zxBaZPn47z58/j1q1bCA4OxsmTJ5GSkgKg5cKqt7c3zp8/jytXrkBPTw9OTk4oLS2Vqz1aEwqFmD9/PiZPniyRJq1Nbt++DRcXF0ydOhU3b97EsWPHcOrUKQQGBnLyfvjhhx22CSGEEEL+ZRg5PH36lJk3bx6joqLCaGpqMtu3b2cmTpzIfP755+w6+vr6zI4dO9j3AJh9+/Yx7733HsPn85khQ4YwJ0+eZNPPnz/PAGAqKys522pubma2bNnCGBoaMkpKSoyVlRXz3//+l2EYhrl//z4DgPNasGABwzAMM3HiRGbZsmXMypUrmf79+zODBg1i1q9fzyk7IiKCsbS0ZJSVlRkdHR3m008/ZWpqatj02NhYpm/fvszZs2cZMzMzRkVFhXF2dmbKyso45Xz33XeMmZkZo6ioyJiamjLffvstJ93NzY3x9/dvtz3btlVrISEhzPjx4yWWL1iwgJk+fTpn2aFDhxhbW1v2/enTp5mhQ4cySkpKjL29PRMbG8tpY/H+ia1fv54ZPnw4c+jQIUZfX5/p06cP4+XlxVRXV7PrtD3ODCN57Orq6hgXFxfm7bffZp48ecJZt+02O/L1118zOjo6Esul1aEjtbW1zIABA5j33ntPanrbz1xrn332GePg4MC+76j+AJiEhIR2yzp58iTD4/GYhoYGhmEYpqmpienXrx+TlJQkdX3x5/vmzZtS02/dusXo6Ogw5eXlUrctEokYRUVFJjU1td066evrM+fPn+9w+z/88AMzbtw4RklJibG1tWXu3LnDZGVlMSNHjmTPib///puTt6Nzou05O3HiRIZh/v9netu2bYympiajpqbGfPbZZ2x7MQzDHD58mBk5ciQjEAiYQYMGMd7e3sxff/3Fpos/iz///DMzcuRIhs/nM2PHjmV+++03Tv1OnTrFjBgxglFUVGQMDQ2ZkJAQ5vnz52z6smXLmFmzZrXbbmIWFhZMaGgoZ1l756ysPv30U0ZFRYUpLS2VSKupqWHr2d55IMs5NmPGDGbu3Lns+/j4eGbAgAGd1k3aOZmens707t2bqaurk5pH/Dlqzw8//MAAYE6cOCGR1tzczFRVVUnN19jYyKiqqjIHDx5kl8nbJl5eXszatWvZ777WpLXJ6tWrOd+xDMMwCQkJjJKSEud7sri4mAHAFBUVSa17W0KhkAHACIVCmdYnhBDy6kSm3OmWF/nnk+f/t1w92ytXrsT58+eRkJCAlJQUpKenIzs7u9N8oaGh8PT0ZHsH5syZg4qKig7zrF27FrGxsYiOjkZeXh6WL1+OuXPn4sKFC9DV1UV8fDyAluHn5eXlnGG/Bw8ehIqKCq5evYqtW7diw4YNOHfuHJveo0cPfPPNN8jNzcXBgweRlpaGgIAAzvbr6uqwfft2HD58GBcvXkRJSQn8/f3Z9H379iEoKAjh4eEoKCjAxo0bERwcjIMHD7LrZGRkwNbWttP2kWb06NHIysqCSCTqdN1Tp05h+vTpAIAHDx7g/fffh4uLC27duoVFixZJ9L5IU1RUhBMnTiApKQlJSUm4cOGCTD2sYkKhEE5OTmhoaEBqairU1NRkzttaWVkZjh8/jokTJ3a6ro+PD+zt7dtNT05OxuPHjyWOrVhHIymEQmGX96G1iooKHDlyBHZ2dujVqxeAll6yqqqqLn026urq4O3tjaioqHZHRvTu3RvDhw9HRkbGC9V9/fr1WLt2LW7cuAEFBQV4e3sjICAAX3/9NTIyMlBUVIR169ax63d2ToiH/v78888oLy/H8ePH2bznz59HUVERzp8/j4MHDyIuLo5zW0lDQwPCwsLw66+/4sSJE7h//z58fHwk6hwUFISIiAhcv34dCgoK+Oijj9i05ORkzJ07F35+fsjPz0dMTAzi4uIQHh7OrnPx4sVOj0tzczNqamokPh9tz9mSkhIIBIIOX+Le4ubmZhw7dgxz5szB4MGDJbYpEAjkGlEizc2bN5GZmck5t2TZ3/bOSVtbWzx//lxiSLesjhw5AlNTU/a7qzUej4e+fftKzVdXV4fnz593+fyMjY1FUVER1q9fLzVdWpuIRCIoKSlxlvH5fNTX13P+B+rr60NDQ+OFzz1CCCGEvBlk/vX29OlTHDhwAIcOHcKUKVMAtAS1Ojo6neb18fGBt7c3AGDjxo3YtWsXsrKyMHXqVKnr19bWIjIyEmlpaex9ukZGRrh06RJiYmIwceJE9oeWtOHnVlZW7A+poUOHIioqCqmpqWy9W9/bZ2hoiLCwMHz66afYvXs3u/z58+fYs2cPjI2NAQBLly7Fhg0b2PSwsDBERETg/fffZ8sR/4BfsGABqqqqUFVVJfWHsyy0tbUhEonw8OFD6Ovrt7ueSCRCcnIyG/RER0fDyMgIO3bsAI/Hg6mpKXJycrBly5YOt9fc3Iy4uDh2WPO8efOQmprKCUTa89dff8HLywvGxsY4evRol4Z7e3t74+TJk3j27Bnc3Nywf//+TvNoaWl1OBnR3bt3AQBmZmZy1eXKlSv48ccfcfr0ac5yoVAIgUAgUxmrVq1CVFQU6urqMGbMGCQlJbFpxcXF6NmzJzQ0NOSqFwAsX74cdnZ2UgOU1rS1teWa3Ekaf39/ODs7AwA+//xzeHt7IzU1Fe+88w4AYOHChZyAuLNzYuDAgQAAdXV1iQsF/fv3R1RUFHr27AkzMzO4uroiNTUVvr6+AMAJmo2MjPDNN99g9OjRePr0KeeYhIeHs0FhYGAgXF1dUV9fDyUlJYSHhyMwMBALFixgywkLC0NAQAD7fVFcXNzpORsREYHa2lqJ+RPanrODBw/u9P70Pn36AAAeP36MyspKmT+ru3fvljhHGhsbJQJCANDR0cGjR4/Q2NiIkJAQzvDojva3s3NSRUUF/fr1Q3FxsUwXx9q6e/cuTE1N5c4XGBgIbW1tODo6cpbL0iZ3795FYGAgMjIy2r14Ia1NnJ2dsXPnThw9ehSenp54+PAhvvrqKwBAeXk5Z92Ozj2RSMS5gPqi9/gTQggh5PUmc892UVERGhoaOJNUqampyfRjycrKiv1bRUUFqqqq+Pvvv9tdPz8/H/X19ZgyZQqnF+jQoUMoKiqSa3tAS1DWenvnz5/HlClToK2tDVVVVcyfPx9PnjzhzOCsrKzMBtpty3j06BEePHiAhQsXcur31VdfsfV79uwZAEj98SsL8b3Z4kmC2pP2/9q787ioqv9/4K9BkG1AUQRMttzBBEdxDRKXwBUriwSjNNdPpqmpyUdR1BIUUss0S/1oGqKmIpjmkkjiHiYpYpoUUohZgYALIHJ+f/ib++XKADMwoODr+XjM4+Gcu537vveOvO8599z4eDRt2hQdO3YEAFy6dAk9evSQPSupzcBizs7OsueHH41ZRfr374+WLVti+/btVUq0AWD58uX46aefsHv3bqSlpWH69OmVLhMWFoZNmzaVO138/wGldHHx4kUMGzYM8+bNk27OqFlYWCA5ObnMR5OZM2fi3LlzOHjwIBo0aIA333xTqs+9e/dgbGxc6fOsj4qLi0N8fLxWo/2bmprKzp2JEyfKztWMjAwMHDiwTFlppa8jW1tbAJDOM3WZLtdERTp06IAGDRpI3x89/86dO4dhw4bByckJFhYWUo+GiurcvHlzAJDWc/bsWSxcuFBWP/Wgf+pY3bt3r8JrNjo6GqGhodi2bVuZmyWPXrOGhoZo3bp1hR/1OtTnhrbnxMiRI8uch6VvBpaWmJiIpKQkrFmzRkoY1SraX22uyUfPsw4dOkix7dChAwDI4q0uU++zrtfA0qVLER0djV27dpWpd2UxefDgAQIDA7FgwQK0bdu23G1oiomPjw8iIiIwceJEGBsbo23bthg8eDAAyM5bTTEpLSwsDI0aNZI+Dg4OOu0/ERER1S1at2xXJXFRU3efVVMoFBW2SKqn7d27Fy1atJBNMzY2rtb2rl27hkGDBmHixIlYtGgRmjRpgmPHjmHMmDG4f/9+hetQx0C9rrVr16J79+6y+dR/eDVt2hQKhQI5OTmV1lcTdTd7dWtgeUp3IQeqfpx0PUalDR48GDt37kRqaqosGdOFnZ0d7Ozs0L59ezRt2hReXl4ICQmREqaqUP9B/csvv2h1wyE1NRV9+/bFuHHjMHfu3DLTDQwM0Lp1a622bW1tDWtra7Rt2xYuLi5wcHDAqVOn0LNnT1hbW+Pu3bsoKirS6eZEfHw80tLSyvTkGD58OLy8vGQDnmVnZ8tuFi1cuFD2GIS3tzeWLFkiO38fbc0rfU6ok6JHy9TniDbXREUqOv/u3LkDHx8f+Pj44Ouvv0azZs2QkZEBX19fFBUVVVrn0nVcsGCB1PJemjq5sra2Lvea3bZtG8aMGYNvvvmmTKsqUPaazcjIgKura4X7/cYbb2DNmjVo1qwZrKyscOnSpQrnV2vUqFGZc7G8nhLPPvssgIc3Sv766y+EhoZKPY0q2l9trsns7GzZb9S+ffuk39HMzEx4e3vLbkiVPj5t27bVen8BIDIyEosXL8b3339f5oYqUHlM8vPzkZSUhHPnzuHdd98F8PCcEELA0NAQBw8eRN++fcuNyfTp0zFt2jRkZWXBysoK6enpCA4OluJbXkxKCw4Olt20yMvLY8JNRERUj2mdbLdu3RpGRkY4deoUHB0dAQA5OTm4cuVKlboQVsTV1RXGxsbIyMgod93qJKWiEZc1SUpKQnFxMT7++GPp1T7bt2/XaR22trZo0aIFfvvtN4wcObLc+rm6uiI1NVXn92wDQEpKCuzt7WFtbV3uPEII7NmzR9a66+rqKnsVFACcOnVK5+3rIjw8HEqlEv369UNCQkKlCUZl1DcMtHlevSI+Pj6wtrbG0qVLERMTU2b6rVu3pMT14sWL6Nu3L9566y2tus7r4tH9Ub9qKDU1VeNrh8oze/ZsWRdg4GECtXz58jIj0aekpMhGQLexsZElHoaGhmjRooXWNw8qo+01Aeh+zf7yyy/4559/EB4eLiUmSUlJOtexc+fOuHz5coX7rFKpkJqaWqY8Ojoab7/9NqKjo6UWzUc9es3q0o3cwMAAr7/+OjZv3oz58+eXufFx584dGBsbV/u5bSGE7LpSqVT4+uuvtVoOkF+TaWlpKCgogEqlkspKP/Kirmt58Q4MDMSIESMQGxtb5rEIIQTy8vKk57YjIiLw4Ycf4sCBA1UeB8PS0hIXLlyQla1evRrx8fHYsWOHlDRXFBOFQiEdm+joaDg4OKBz587S9IKCAqSlpcliUpqxsbFWN4yJiIioftD6LzelUokxY8Zg5syZaNq0KWxtbWXvotUnCwsLzJgxA9OmTUNJSQk8PT2Rl5eHEydOQKlU4q233oKTkxMUCgW+/fZbDBo0CKamplo9T9uqVSsUFxdj5cqVGDp0KI4fP16l91OHhoZiypQpsLS0xMCBA1FYWIikpCTk5ORILRe+vr44duyY7BnxoqIi6Y/5oqIiZGZmIjk5GUqlUvZHaWJiYqVJ+tmzZ3Hnzh288MILUtnEiRPx8ccfY/r06ZgwYQLOnj2r0/vLqyoyMhIPHjxA3759kZCQID17mpGRgezsbGRkZODBgwdS8tG6dWsolUrs27cPf/31F7p27QqlUonU1FTMmjULzz//vOwdt5oEBwcjMzOz3K7k5ubmWLduHV577TX4+flhypQpaN26Nf755x9s374dGRkZ2Lp1Ky5evIg+ffrAx8cH06dPx40bNwA8bJGtrGfBo86cOYMzZ87A09MTVlZW+O233zBv3jy0atVKal1v1qwZOnfujGPHjsmSbXWc1O/kvnz5MoD/a2FUfx7l6Ogoa11LT09HZmamxtbXmlTZNWFjYwNTU1Ps378f9vb2MDExKXcQrNIcHR3RsGFDrFy5EhMnTkRKSgoWLVqkc/3mzZuHIUOGwMHBAa+99hoMDAxw/vx5XLhwQXr+1tfXVzbIIfAwqXrzzTfxySefoEePHtL5YWpqKqv/o9esuhu5thYvXoyEhAR0794dH330ETw8PGBkZITExESEhYXhxx9/1On1iKtWrYKjo6N0LR47dgyRkZGyd7v7+voiODgYOTk5sLKyAgCtr8nExES0bNlS1oNCF/7+/oiJiUFAQABCQkKkd5lfuHABy5cvx+TJk/HSSy9h6dKlCAkJwZYtW+Ds7CzFX901XVsGBgZ47rnnZGU2NjYwMTGRlWuKCfAw4R8wYAAMDAywa9cuhIeHY/v27bKeG6dOnYKxsbFWPWmIiIio/tMpU46IiMALL7wAPz8/9O/fH56enujSpUuNVGzRokWYN28ewsLC4OLiAl9fX+zZs0dKKlq0aIEFCxZg9uzZsLW1lboFVqZTp05YtmwZlixZgueeew5RUVEICwvTuX5jx47FunXrsHHjRnTs2BG9e/fGxo0bZUnPuHHjsG/fPtn7ca9fvw6VSgWVSoWsrCxERkZCpVLJWiwLCgoQExMjDQ5VntjYWAwePFjW2uXo6IidO3diz549cHd3x5o1a7B48WKd968qli9fDn9/f/Tt2xdXrlwB8DDBUalUmD9/Pm7fvi3tu7pl0tTUFGvXroWnpydcXFwwdepUDBkyRDagWHmysrLKPLP7qGHDhuHEiRMwMjJCYGAg2rdvj4CAAOTm5koJ1jfffIO///4bUVFRaN68ufTp2rWrzjEwNTXFrl270K9fP7Rr1w5vv/02nnvuOfzwww+yFq3x48eXeSdzXFwcVCqV1HI6YsQIqFQqnW8GRUdHw8fHp8KB9WpCZdeEoaEhPv30U3zxxRd45plnKh3kTa1Zs2bYuHEjvvnmG7i6uiI8PByRkZE618/X1xfffvstDh06hK5du6JHjx5YtmyZLE5vvPEGUlNTpRsdAPDFF1+guLgYkyZNkp0f7733njSPttdsRaysrHDq1Cm88cYb+PDDD6FSqeDl5YXo6GhERERodWOitJKSEgQHB6NTp07w8PDAypUrER4eLnuOuWPHjvDw8JD17tH2moyOjq7W/ioUCmzZsgXLli1DTEwMevfuDTc3N4SGhmLYsGHS4HyrV69GUVERXn31VVn8q3IOaENTTADgu+++g5eXFzw8PLB3717ExsbipZdeks0THR2NkSNHwszMrEbqRkRERHWLQlTnYWw9SEhIQJ8+fZCTk6NTq01d4e/vD5VKheDgYK2XWbVqFWJjY3Hw4MEy00aNGoVbt25h9+7dcHNzw9y5c8uMilwTvL290alTJ60G56rPddCXgoICtGvXDlu3btVrK1hhYSHatGmD6OhoadRw0s2sWbOQm5uLL774QutlKrpmn3T79u3DjBkzkJKSonVPpZSUFPTr1w9XrlzR+SZAXVCVmPz9999o3749kpKSyjzHXR51V/nc3FzpkQIiInoyLT90RS/rmfZi+YN0Ut2gy//f+u8DXkX29vbSoD31SUREhE5dHYGHgwitXLlSVpaYmAilUim1hhYVFWH48OEYOHCg3upamdWrV0OpVJZ57rGmRUVFQalU1qt315qYmGDTpk34559/9Lrea9euYc6cOUy0q2HOnDlwcnLS6dlyTddsXTFo0CBMmDABmZmZWi9z/fp1bNq0qV4m2kDVYvL7779j9erVWifaREREVP899pbte/fuSX/QKJVKjc+k0uOPU2ZmpvQ6M/UztLUlPz8ff/31FwCgcePGFQ4aR0RUV7Blm4io7mDLNqnp8v939Ya21QNTU1O9jYhcnz3uOD36CrbaZGFhIXsHOBERERER0ZPuielGTkRERERERFRfMNkmIiIiIiIi0jMm20RERERERER6xmSbiIiIiIiISM8e+wBpRERERERETzKOIk5VwZZtIiIiIiIiIj1jsk1ERERERESkZ0y2iYiIiIiIiPSMyTYRERERERGRnjHZJiIiIiIiItIzJttEREREREREesZXfxEREREREdWC5YeuaD0vXzdW97Flm4iIiIiIiEjPmGwTERERERER6RmTbSIiIiIiIiI9Y7JNREREREREpGdMtomIiIiIiIj0jMk2ERERERERkZ4x2SYiIiIiIiLSMybbRERERERERHr2RCTb3t7emDp1qvTd2dkZK1as0Hr5hIQEKBQKKBQKvPTSS3qvz+O2fv16+Pj46LTMq6++imXLlsnKqhMn9bK3bt0CAGzcuBGNGzfWaR3e3t7S9pOTkzWutyrS09Ol9Xbq1KnK66lNly9fhp2dHfLz87VeZsaMGZgyZUoN1urx+vfff2FjY4P09HStl/nss8/g5+dXc5V6zKoSk2+//RYqlQolJSU1VzE9qw+/uV27dsWuXbtqqEZERERUFz0Ryba+XL58GRs3btR6fn0kejWtsLAQ8+bNQ0hIiFR28eJFDB8+HM7OzlAoFBpvTMybNw8fffQR8vLypLJevXohKysL/v7+Grfl7e2NNWvW6H8nShk3bhyysrLw3HPP6bTc3r170b17d5iamsLa2hqvvPKKNM3BwQFZWVl4//33q1SnGzduYPLkyWjZsiWMjY3h4OCAoUOH4vDhw9I85d0ACg0NlSX4u3btgoeHBxo3bgxzc3N06tQJmzdvLrPcnDlzMGnSJFhYWAB4eO726dMHtra2MDExQcuWLTF37lzcv39fWmbWrFnYsGEDfv/99yrtp1pRURGWLl0Kd3d3mJmZwdraGs8//zw2bNggbS8sLAxdu3aFhYUFbGxs8NJLL+Hy5cuy9Wgbk40bN0o3Q0p/CgoKZMuFhYVh6NChcHZ2LrPOf//9F/b29mWu13HjxuHHH3/EsWPHqhMSCCHw5Zdfonv37lAqlWjcuDE8PDywYsUK3L17FwCwdu1aeHl5wcrKClZWVujfvz/OnDkjW095SWNFN6eOHz8OQ0NDjTeKNMXk8OHD6NWrFywsLNC8eXN88MEHKC4ulqYPGTIECoUCW7ZsqUooalRd/c3V5tiHhIRg9uzZdeomBxEREdWsepVs29jY6Nza+qTbuXMnlEolvLy8pLK7d++iZcuWCA8Ph52dncbl3Nzc4OzsjKioKKmsYcOGsLOzg6mpaZn5s7OzceLECQwdOlT/O1GKmZkZ7OzsYGhoqPUyO3fuRFBQEEaPHo2ff/4Zx48fR2BgoDS9QYMGsLOzg1Kp1Lk+6enp6NKlC+Lj47F06VJcuHAB+/fvR58+fTBp0iSd19ekSRPMmTMHJ0+exPnz5zF69GiMHj0aBw4ckOb5888/ERcXh9GjR0tlRkZGePPNN3Hw4EFcvnwZK1aswNq1azF//nxpHhsbG/j4+FR4QyQhIUFjsqpWVFQEX19fhIeHY/z48Thx4gTOnDmDSZMmYeXKlbh48V6n+EQAACAASURBVCIA4IcffsCkSZNw6tQpHDp0CMXFxfDx8cGdO3d0jgkAWFpaIisrS/YxMTGRpt+7dw/r16/H2LFjNS4/ZswYuLm5lSk3NjZGYGAgVq5cWaV6qQUFBWHq1KkYNmwYjhw5guTkZISEhCA2NhYHDx4E8DC2AQEBOHLkCE6ePAlHR0f4+PggMzOzytvNzc3Fm2++iX79+pWZpikm58+fx6BBgzBgwACcO3cOW7duRVxcHGbPni1bdvTo0ZXGRKFQ6NRi/rTQ9JurzbEfPHgwcnNzZdc6ERERPd1qPdm+c+cO3nzzTSiVSjRv3hwff/xxpcsoFAqsW7cOL7/8MszMzNCmTRvExcVVupwQAkuXLkXLli1hamoKd3d37NixA8DDJKtPnz4AACsrKygUCowaNUpatqSkBLNmzUKTJk1gZ2eH0NBQ2bqXLVuGjh07wtzcHA4ODnjnnXdw+/Ztabq6JevAgQNwcXGBUqnEgAEDkJWVJVvPhg0b4OLiAhMTE7Rv3x6rV6+WTd+6dWuZbrJdu3ZFREQERowYAWNj43L338/PD9HR0ZXGCXjYcuzu7o4WLVoAAPbt24e2bdvC1NQUffr0qfSPcnVr5ubNm+Hs7IxGjRphxIgROnWTBh4mGIMHD0aPHj2QnZ2N4uJivPfee4iIiMDEiRPRtm1btGvXDq+++qpO6y3PO++8A4VCgTNnzuDVV19F27Zt0aFDB0yfPh2nTp3SeX3e3t54+eWX4eLiglatWuG9996Dm5ubrOV1+/btcHd3h729vVTWsmVLjB49Gu7u7nBycoKfnx9GjhyJxMRE2fp1OaaarFixAkePHsXhw4cxadIkdOrUCS1btkRgYCBOnz6NNm3aAAD279+PUaNGoUOHDnB3d8eGDRuQkZGBs2fPVmm7CoUCdnZ2sk9p3333HQwNDdGzZ88yy37++ee4desWZsyYoXHdfn5+2L17N+7du1elum3fvh1RUVGIjo7Gf//7X3Tt2hXOzs4YNmwY4uPjpd+JqKgovPPOO+jUqRPat2+PtWvXoqSkRNYDQlcTJkxAYGCgxv3WFJOtW7fCzc0N8+bNQ+vWrdG7d2+EhYVh1apVsmvNz88PZ86cwW+//ValeqlboA8cOACVSgVTU1P07dsXN2/exHfffQcXFxdYWloiICBAavkH6u9vrjbHvkGDBhg0aFC1rk8iIiKqX2o92Z45cyaOHDmCmJgYHDx4EAkJCVr9Ab9gwQL4+/tLLTsjR45EdnZ2hcvMnTsXGzZswOeff46LFy9i2rRpeOONN/DDDz/AwcEBO3fuBPCwC29WVhY++eQTadmvvvoK5ubmOH36NJYuXYqFCxfi0KFD0nQDAwN8+umnSElJwVdffYX4+HjMmjVLtv27d+8iMjISmzdvxtGjR5GRkSFLGNauXYs5c+bgo48+wqVLl7B48WKEhITgq6++kuZJTEyEh4dHpfHRpFu3bjhz5gwKCwsrnTcuLg7Dhg0DAPzxxx945ZVXMGjQICQnJ2Ps2LFlWs40SUtLw+7du/Htt9/i22+/xQ8//IDw8HCt65ubmwsfHx8UFRXh8OHDaNKkCX766SdkZmbCwMAAKpUKzZs3x8CBA6UW2Iqouy+XJzs7G/v378ekSZNgbm5eZnp1e0kIIXD48GFcvnwZL7zwglR+9OjRSo/p1atXsX//fvTu3VtW3q1bN/zxxx+4du1aleoUFRWF/v37Q6VSlZlmZGSkMQ7Aw2MDPGy5r4rbt2/DyckJ9vb2GDJkCM6dOyebXl5MUlNTsXDhQmzatAkGBpp/rjw8PHD//n1Zt94OHTpAqVSW++nQoYM0b1RUFNq1ayed/6UpFAo0atRI43bv3r2L+/fvVzkmGzZsQFpamqz3QmmaYlJYWCjrEQAApqamKCgokP2OOjk5wcbGpszNGl2Fhobis88+w4kTJ/DHH3/A398fK1aswJYtW7B3714cOnRI1oL+tPzmlnfsu3XrVmHMCwsLkZeXJ/sQERFRPSZqUX5+vmjYsKHYunWrVPbvv/8KU1NT8d5770llTk5OYvny5dJ3AGLu3LnS99u3bwuFQiG+++47IYQQR44cEQBETk6ObB4TExNx4sQJWR3GjBkjAgICyl1OCCF69+4tPD09ZWVdu3YVH3zwQbn7tn37dtG0aVPp+4YNGwQAcfXqVals1apVwtbWVvru4OAgtmzZIlvPokWLRM+ePYUQQuTk5AgA4ujRo+Vu99FYlfbzzz8LACI9PV1W/tZbb4lhw4ZJ3wsKCoSFhYU4f/68EEKI4OBg4eLiIkpKSqR5PvjgA1msNmzYIBo1aiRNnz9/vjAzMxN5eXlS2cyZM0X37t2l771795YdZyH+7xj88ssvwt3dXbzyyiuisLBQmh4dHS0ACEdHR7Fjxw6RlJQkAgICRNOmTcW///4rW9f8+fOFu7u79H3Xrl2iXbt25UROiNOnTwsAYteuXeXOo+bk5CQaNmwozM3NZR8jIyPZNoUQ4tatW8Lc3FwYGhoKY2NjsX79etl0d3d3sXDhQo3b6dmzpzA2NhYAxPjx48WDBw9k03NzcwUAkZCQoHH5I0eOCCcnp3L3w9TUVEyZMqXS/S2tpKREDB06tMw1oW1MTp48KTZv3iySk5PF0aNHxfDhw4Wpqam4cuWKNM+wYcPE22+/LVt/QUGBcHNzE5s3b5b2TdP1KoQQVlZWYuPGjdL39PR08euvv5b7KX1NuLi4CD8/P51iIoQQ77zzjmjVqpW4d++eVNa7d29hZGRUJibGxsay6+XKlSvCxsZGXL58WQhR9twtLyYHDhwQBgYGYsuWLaK4uFj8+eefwtPTUwAo81uiUqlEaGhoufUHIH7//XeN09Sx/v7776WysLAwAUCkpaVJZRMmTBC+vr5CiKfnN1cIzcdeCCFiY2OFgYFBmetWbf78+QJAmU9ubm6F2yMiovpj2cHLWn/oyaT+e1yb/7+1f3BWD9LS0lBUVCTrFtmkSRO0a9eu0mVLP69pbm4OCwsL3Lx5s9z5U1NTUVBQgBdffFFWXlRUpLFVr6LtAUDz5s1l2zty5AgWL16M1NRU5OXlobi4GAUFBbhz547UOmhmZoZWrVppXMfff/+NP/74A2PGjMG4ceOkeYqLi6WWNHW32EdbsrSlfja7dDdPTeLj49G0aVN07NgRAHDp0iX06NFD1iqsqZvro5ydnaUBv4CyMatI//790bVrV2zfvh0NGjSQytWDDc2ZMwfDhw8H8LBF0N7eHt988w0mTJhQ7jpffvllvPzyy+VOF0IAQIWt36XNnDlT1u0VAD799FMcPXpUVmZhYYHk5GTcvn0bhw8fxvTp09GyZUt4e3sDeHhcyzum27ZtQ35+Pn7++WfMnDkTkZGRstY7Tce09LPqDx48QGFhoazMy8sL3333nbTP2u6v2rvvvovz589rHIRMm5j06NEDPXr0kL4///zz6Ny5M1auXIlPP/0UgOaYBAcHw8XFBW+88UaldTQ1NZXFxMnJSat9A6oWk6VLlyI6OhoJCQll6j1y5EjMmTNHVrZr1y4sXrwYwMNjFBgYiAULFqBt27blbkNTTHx8fKRHKoKCgmBsbIyQkBAcO3ZMdt0AZWMycODAMq2uHTp0kO176W7ZgPx30NbWFmZmZmjZsqWsTN2j4Gn5za3o2JuamqKkpASFhYUax8YIDg7G9OnTpe95eXlwcHCoODBERERUZ9Vqsq1ObqrCyMhI9l2hUFQ46qt62t69e6XnkNUqes5Zm+1du3YNgwYNwsSJE7Fo0SI0adIEx44dw5gxY2SjR2tahzoG6nWtXbsW3bt3l82n/qO5adOmUCgUyMnJqbS+mqi72Tdr1qzC+Up3IQeqfpx0PUalDR48GDt37kRqaqqU9AMP/1gGAFdXV6nM2NgYLVu2REZGRpXqqdamTRsoFApcunRJq1ehWVtbo3Xr1rIyTV2IDQwMpPk6deqES5cuISwsTEq2ra2tyz2m6j+8XV1d8eDBA4wfPx7vv/++dE5oOqbq16gBwOnTp/HBBx8gISFBKiv9R3/btm1x6dKlSvdVbfLkyYiLi8PRo0dlz5iraRuT0gwMDNC1a1f8+uuvsvU8GpP4+HhcuHBBeuZXfV5aW1tjzpw5WLBggTRvdna2LCYdOnSosKu9k5OT9CiCrjGJjIzE4sWL8f3332sctK1Ro0ZlYmJjYyP9Oz8/H0lJSTh37hzeffddAA9/D4QQMDQ0xMGDB9G3b99yz5Pp06dj2rRpyMrKgpWVFdLT0xEcHIxnn31WNt+jMVm3bp3sufY2bdpg3759ZX4fSyt9TSsUigqv8afhN7eyY5+dnQ0zMzONiTbwMA7axIKIiIjqh1pNtlu3bg0jIyOcOnUKjo6OAICcnBxcuXKlzLOp1eXq6gpjY2NkZGSUu+6GDRsCeNjSpIukpCQUFxfj448/lp4j3b59u07rsLW1RYsWLfDbb79h5MiR5dbP1dUVqampOr/zFQBSUlJgb28Pa2vrcucRQmDPnj3YtGmTVObq6ordu3fL5qvKYGG6CA8Ph1KpRL9+/ZCQkCAl1126dIGxsTEuX74MT09PAMD9+/eRnp6uU+ulJk2aNIGvry9WrVqFKVOmlHle+datW3oZ3V4IIXtuXqVSITU1Vavl7t+/L7v5kZKSAiMjI9kzx6UTuz///BOGhoZlkj21wMBA/Pe//8W5c+fKtDYWFxejsLAQ5ubmEEJg8uTJiImJQUJCQplErjqEEEhOTpbdVFGpVPj6669l8+3cuVOWHP744494++23kZiYKGu9TEtLQ0FBgWx/9u3bJ0vCHlU6KQsMDMSIESMQGxtb5rltIQTy8vKkls+IiAh8+OGHOHDgQJXHUrC0tMSFCxdkZatXr0Z8fDx27NghxVpTTNQUCgWeeeYZAEB0dDQcHBzQuXNnaXpBQQHS0tJkMdGUVDs5OVU4er0u6vtvrjbHPiUlRXYciIiI6OlWq8m2UqnEmDFjMHPmTDRt2hS2traYM2dOuQMfVYeFhQVmzJiBadOmoaSkBJ6ensjLy8OJEyegVCrx1ltvwcnJCQqFAt9++y0GDRoEU1NTrV4f1apVKxQXF2PlypUYOnQojh8/XqX3U4eGhmLKlCmwtLTEwIEDUVhYiKSkJOTk5EhdDX19fXHs2DHZu3uLioqkZK2oqAiZmZlITk6GUqmUJVmJiYmVJulnz57FnTt3ZAN4TZw4ER9//DGmT5+OCRMm4OzZszq9v7yqIiMj8eDBA/Tt2xcJCQlo3749LC0tMXHiRMyfPx8ODg5wcnJCREQEAOC1116rcH0xMTEIDg7GL7/8Uu48q1evRq9evdCtWzcsXLgQbm5uKC4uxqFDh/D555/r1OIJPHwvsoeHB1q1aoWioiLs27cPmzZtwueffy7N4+vri7Fjx+LBgwdSi1pUVBSMjIzQsWNHGBsb4+zZswgODsbrr78ue01aYmIivLy8ym05q8zUqVOxd+9e9OvXD4sWLYKnpycsLCyQlJSEJUuWYP369ejUqRMmTZqELVu2IDY2FhYWFrhx4waAh622um57wYIF6NGjB9q0aYO8vDx8+umnSE5OxqpVq2QxCQ4ORk5ODqysrABAllADwD///AMAcHFxkd0ESUxMRMuWLWXz63Ijxt/fHzExMQgICEBISAhefPFFNGvWDBcuXMDy5csxefJkvPTSS1i6dClCQkKwZcsWODs7SzFRD7qmLQMDgzLvmbexsYGJiYmsXFNMgIdJ34ABA2BgYIBdu3YhPDy8zOMXp06dgrGxsVaPf+hLff7N1fbYa/ObS0RERE+PWh+NPCIiAi+88AL8/PzQv39/eHp6okuXLjWyrUWLFmHevHkICwuDi4sLfH19sWfPHqnlqEWLFliwYAFmz54NW1tbqUtnZTp16oRly5ZhyZIleO655xAVFYWwsDCd6zd27FisW7cOGzduRMeOHdG7d29s3LhR1oo4btw47Nu3TxoNGgCuX78OlUoFlUqFrKwsREZGQqVSyd7HW1BQgJiYGNmziZrExsZi8ODBsoTO0dERO3fuxJ49e+Du7o41a9ZIz5vWtOXLl8Pf3x99+/bFlStXAEB6zVlQUBC6du2Ka9euIT4+XpaAaJKbm4vLly9XOM+zzz6Ln376CX369MH777+P5557Di+++CIOHz4sS5C1defOHbzzzjvo0KEDevXqhR07duDrr7+WHZtBgwbByMgI33//vVRmaGiIJUuWoFu3bnBzc0NoaCgmTZqEdevWydYfHR1d6TGtiLGxMQ4dOoRZs2bhiy++QI8ePdC1a1d8+umnmDJlipTsff7558jNzYW3tzeaN28ufbZt26bzNm/duoXx48fDxcVFejfx0aNH0a1bN2mejh07wsPDQ+fWSqD6MVEoFNiyZQuWLVuGmJgY9O7dWzoGw4YNg6+vL4CHN2aKiorw6quvymISGRlZ5W1XpLyYfPfdd/Dy8oKHhwf27t2L2NjYMo9BREdHY+TIkTAzM6uRupWnvv7manPsMzMzceLECYwePVrnehEREVH9pBDVeZD6CZGQkIA+ffogJydHL91+nzT+/v5QqVQIDg7WeplVq1YhNjYWBw8eLDNt1KhRuHXrFnbv3g03NzfMnTsX/v7++qyyRt7e3ujUqRNWrFhRI+sPDQ3F7t27Zc8wP6lWr16N2NhYHDhwQOtl9u7di5kzZ+L8+fOymyP1xb59+zBjxgykpKRo3dslJSUF/fr1w5UrV8p9RVddVpWY/P3332jfvj2SkpL02v3/aVKV39yZM2ciNzcXX375pdbLqB9RyM3NhaWlZVWqSkREdczyQ1e0nnfai+UPpEqPjy7/f9d6y3ZNsre3R0BAwOOuht5FRETo1E0VePhMaun33wIPuzgqlUpERUUBeNgFffjw4Rg4cKDe6lqZ1atXQ6lUlnlmtToyMjKgVCprrfVdH8aPH48XXngB+fn5Wi9z584dbNiwoV4m2sDDFv8JEyYgMzNT62WuX7+OTZs21ctEG6haTH7//XesXr2aiXY1VOU318bGBosWLaqhGhEREVFdVC9atu/duyf9MapUKmFnZ/eYa/RketxxyszMlAa8cnR0lAZLqq7i4mKkp6cDeNhNmq/SIaK6gC3bRERPH7Zs1326/P9dL5rITE1Nyx19mf7P445TRa8Yqo6KRt8mIiIiIiJ6HOpVN3IiIiIiIiKiJwGTbSIiIiIiIiI9Y7JNREREREREpGdMtomIiIiIiIj0rF4MkEZERERERPSk4wjjTxe2bBMRERERERHpGZNtIiIiIiIiIj1jsk1ERERERESkZ0y2iYiIiIiIiPSMyTYRERERERGRnjHZJiIiIiIiItIzJttEREREREREesZkm4iIiIiIiEjPmGwTERERERER6RmTbSIiIiIiIiI9Y7JNREREREREpGdMtomIiIiIiIj0jMk2ERERERERkZ4x2SYiIiIiIiLSMybbRERERERERHpm+LgrQERE9DQSQgAA8vLyHnNNiIiISFvq/7fV/49XhMk2ERHRY5Cfnw8AcHBweMw1ISIiIl3l5+ejUaNGFc6jENqk5ERERKRXJSUluH79OiwsLKBQKGp0W3l5eXBwcMAff/wBS0vLGt3W04oxrlmMb81jjGseY1yzaiu+Qgjk5+fjmWeegYFBxU9ls2WbiIjoMTAwMIC9vX2tbtPS0pJ/4NUwxrhmMb41jzGueYxxzaqN+FbWoq3GAdKIiIiIiIiI9IzJNhEREREREZGeNQgNDQ193JUgIiKimtWgQQN4e3vD0JBPkNUUxrhmMb41jzGueYxxzXrS4ssB0oiIiIiIiIj0jN3IiYiIiIiIiPSMyTYRERERERGRnjHZJiIiIiIiItIzJttERET1UE5ODoKCgtCoUSM0atQIQUFBuHXrVoXL3LhxA0FBQbCzs4O5uTk6d+6MHTt21FKN65aqxBcATp48ib59+8Lc3ByNGzeGt7c37t27Vws1rnuqGmMAEEJg4MCBUCgU2L17dw3XtO7SNcbZ2dmYPHky2rVrBzMzMzg6OmLKlCnIzc2txVo/2VavXo1nn30WJiYm6NKlCxITEyucf+fOnXB1dYWxsTFcXV0RExNTSzWtm3SJ79q1a+Hl5QUrKytYWVmhf//+OHPmTC3Wlsk2ERFRvRQYGIjk5GTs378f+/fvR3JyMoKCgipcJigoCJcvX0ZcXBwuXLiAV155Ba+//jrOnTtXS7WuO6oS35MnT2LAgAHw8fHBmTNn8OOPP+Ldd9+FgQH/HNOkKjFWW7FiBRQKRQ3XsO7TNcbXr1/H9evXERkZiQsXLmDjxo3Yv38/xowZU4u1fnJt27YNU6dOxZw5c3Du3Dl4eXlh4MCByMjI0Dj/yZMn8frrryMoKAg///wzgoKC4O/vj9OnT9dyzesGXeObkJCAgIAAHDlyBCdPnoSjoyN8fHyQmZlZe5UWREREVK+kpqYKAOLUqVNS2cmTJwUA8csvv5S7nLm5udi0aZOsrEmTJmLdunU1Vte6qKrx7d69u5g7d25tVLHOq2qMhRAiOTlZ2Nvbi6ysLAFAxMTE1HR166TqxLi07du3i4YNG4r79+/XRDXrlG7duomJEyfKytq3by9mz56tcX5/f38xYMAAWZmvr68YMWJEjdWxLtM1vo8qLi4WFhYW4quvvqqJ6mnEW6lERET1zMmTJ9GoUSN0795dKuvRowcaNWqEEydOlLucp6cntm3bhuzsbJSUlGDr1q0oLCyEt7d3LdS67qhKfG/evInTp0/DxsYGvXr1gq2tLXr37o1jx47VVrXrlKqew3fv3kVAQAA+++wz2NnZ1UZV66yqxvhRubm5sLS0fGLea/y4FBUV4ezZs/Dx8ZGV+/j4lBvPkydPlpnf19dXp/g/LaoS30fdvXsX9+/fR5MmTWqiihox2SYiIqpnbty4ARsbmzLlNjY2uHHjRrnLbdu2DcXFxWjatCmMjY0xYcIExMTEoFWrVjVZ3TqnKvH97bffAAChoaEYN24c9u/fj86dO6Nfv3749ddfa7S+dVFVz+Fp06ahV69eGDZsWE1Wr16oaoxL+/fff7Fo0SJMmDBB39Wrc/755x88ePAAtra2snJbW9ty43njxg2d5n+aVSW+j5o9ezZatGiB/v3710QVNWKyTUREVEeEhoZCoVBU+ElKSgIAjc+rCiEqfI517ty5yMnJwffff4+kpCRMnz4dr732Gi5cuFBj+/Qkqcn4lpSUAAAmTJiA0aNHQ6VSYfny5WjXrh3+97//1dxOPWFqMsZxcXGIj4/HihUranQfnnQ1/TuhlpeXh8GDB8PV1RXz58/X+37UVY/GrrJ46jr/066q8Vq6dCmio6Oxa9cumJiY1FT1yni6+3sQERHVIe+++y5GjBhR4TzOzs44f/48/vrrrzLT/v777zKtAmppaWn47LPPkJKSgg4dOgAA3N3dkZiYiFWrVmHNmjXV34EnXE3Gt3nz5gAAV1dXWbmLi0u5g/vURzUZ4/j4eKSlpaFx48ay8uHDh8PLywsJCQlVrnddUpMxVsvPz8eAAQOgVCoRExMDIyOjatW5PrC2tkaDBg3KtLLevHmz3Hja2dnpNP/TrCrxVYuMjMTixYvx/fffw83NrSarWQaTbSIiojrC2toa1tbWlc7Xs2dP5Obm4syZM+jWrRsA4PTp08jNzUWvXr00LnP37l0AKDMydoMGDaRW2fquJuPr7OyMZ555BpcvX5aVX7lyBQMHDqx+5euImozx7NmzMXbsWFlZx44dsXz5cgwdOrT6la8jajLGwMMWbV9fXxgbGyMuLq5WWwmfZA0bNkSXLl1w6NAhvPzyy1L5oUOHyn2soWfPnjh06BCmTZsmlR08eLDC+D+tqhJfAIiIiMCHH36IAwcOwMPDozaqKldrQ7ERERFRrRkwYIBwc3MTJ0+eFCdPnhQdO3YUQ4YMkab/+eefol27duL06dNCCCGKiopE69athZeXlzh9+rS4evWqiIyMFAqFQuzdu/dx7cYTS9f4CiHE8uXLhaWlpfjmm2/Er7/+KubOnStMTEzE1atXH8cuPPGqEuNHgaORV0jXGOfl5Ynu3buLjh07iqtXr4qsrCzpU1xc/Lh244mxdetWYWRkJNavXy9SU1PF1KlThbm5uUhPTxdCCBEUFCQbOfv48eOiQYMGIjw8XFy6dEmEh4cLQ0ND2Qjx9H90je+SJUtEw4YNxY4dO2Tnan5+fq3Vmck2ERFRPfTvv/+KkSNHCgsLC2FhYSFGjhwpcnJypOm///67ACCOHDkilV25ckW88sorwsbGRpiZmQk3N7cyrwKjh6oSXyGECAsLE/b29sLMzEz07NlTJCYm1nLN646qxrg0JtsV0zXGR44cEQA0fn7//ffHsxNPmFWrVgknJyfRsGFD0blzZ/HDDz9I03r37i3eeust2fzffPONaNeunTAyMhLt27cXO3furOUa1y26xNfJyUnjuTp//vxaq69CCCFqvTmdiIiIiIiIqB7jaOREREREREREesZkm4iIiIiIiEjPmGwTERERERER6RmTbSIiIiIiIiI9Y7JNREREREREpGdMtomIiIiIiIj0jMk2ERERERERkZ4x2SYiIiIiIiLSMybbRERERFSneHt7Y+rUqQAAZ2dnrFixQud1hISEYPz48VrNe/PmTTRr1gyZmZk6byc9PR0KhQLJyckAgISEBCgUCty6dUun9RQVFaF169Y4fvy4xvXqSqFQYPfu3QCqt39EVD4m20RERET0VPnrr7/wySef4L///a9W89vY2CAoKAjz58/XOH3UqFGYPXu2PqtYxpdffgknJyc8//zzellfVlYWBg4cCKDy/SOiqmGyTURERERPlfXr16Nnz55wdnbWepnRo0cjKioKOTk5svKSkhLs3bsXw4YN03Mt5VauXImxY8fqbX12dnYwNjaWvpe3ReaabQAABg9JREFUf0RUdUy2iYiIiOiJdefOHbz55ptQKpVo3rw5Pv744wrnVygUWLduHV5++WWYmZmhTZs2iIuLk82zdetW+Pn5ycpKSkqwZMkStG7dGsbGxnB0dMRHH30kTe/YsSPs7OwQExMjW+748eMwMDBA9+7dAQBnzpyBSqWCiYkJPDw8cO7cuQrru3HjRjRu3BgHDhyAi4sLlEolBgwYgKysLGmen376CVevXsXgwYPLXU9JSQnGjRuHtm3b4tq1axVuE5B3I69o/4io6phsExEREdETa+bMmThy5AhiYmJw8OBBJCQk4OzZsxUus2DBAvj7++P8+fMYNGgQRo4ciezsbABATk4OUlJS4OHhIVsmODgYS5YsQUhICFJTU7FlyxbY2trK5unWrRsSExNlZXFxcRg6dCgMDAxw584dDBkyBO3atcPZs2cRGhqKGTNmVLqPd+/eRWRkJDZv3oyjR48iIyNDttzRo0fRtm1bWFpaaly+qKgI/v7+SEpKwrFjx+Dk5FTpNjXRtH9EVHWGj7sCRERERESa3L59G+vXr8emTZvw4osvAgC++uor2NvbV7jcqFGjEBAQAABYvHgxVq5ciTNnzmDAgAG4du0ahBB45plnpPnz8/PxySef4LPPPsNbb70FAGjVqhU8PT1l623RokWZluq4uDhERkYCAKKiovDgwQP873//g5mZGTp06IA///wT//nPfyqs7/3797FmzRq0atUKAPDuu+9i4cKF0vT09HRZfR+N0eDBg3Hv3j0kJCSgUaNGFW6rIpr2j4iqji3bRERERPRESktLQ1FREXr27CmVNWnSBO3atatwOTc3N+nf5ubmsLCwwM2bNwEA9+7dAwCYmJhI81y6dAmFhYXo169fhes1NTXF3bt3Zcv9+eef6N+/v/Td3d0dZmZm0jyl614eMzMzKdEGgObNm0v1Vde5dH1LCwgIwO3bt3Hw4MFqJdpA2f0jouphsk1ERERETyQhRJWWMzIykn1XKBQoKSkBAFhbWwOAbCAwU1NTrdabnZ2NZs2aSd/j4uLw4osvSsvrs76l12VtbV3uwGWDBg3C+fPncerUqSptu7RH94+IqofJNhERERE9kVq3bg0jIyNZIpmTk4MrV65UeZ2tWrWCpaUlUlNTpbI2bdrA1NQUhw8frnDZlJQUqFQq6XtsbKxsoDVXV1f8/PPPUus5AL0kwSqVCr/88ovGZP4///kPwsPD4efnhx9++KFa23l0/4ioephsExEREdETSalUYsyYMZg5cyYOHz6MlJQUjBo1CgYGVf8T1sDAAP3798exY8ekMhMTE3zwwQeYNWsWNm3ahLS0NJw6dQrr16+X5rl79y7Onj0LHx8fAMDNmzfx448/YsiQIdI8gYGBMDAwwJgxY5Camop9+/ZJz3NXR58+fXDnzh1cvHhR4/TJkyfjww8/xJAhQ2T7pYtH94+Iqo/JNhERERE9sSIiIvDCCy/Az88P/fv3h6enJ7p06VKtdY4fPx5bt26VupYDQEhICN5//33MmzcPLi4ueP3112XPTcfGxsLR0RFeXl4AgD179qB79+6wsbGR5lEqldizZw9SU1OhUqkwZ84cLFmypFp1BYCmTZvilVdeQVRUVLnzTJ06FQsWLMCgQYNw4sQJnbfx6P4RUfUpRFUfLiEiIiIiqoOEEOjRowemTp0qjVpemW7dumHq1KkIDAwEAPj5+cHT0xOzZs2qyapKLly4gP79++Pq1auwsLDQ+/of3T8iqr4GoaGhoY+7EkREREREtUWhUKBbt27IysqCu7t7pfPfvHkTRUVFmDBhAhQKBQDgjz/+QEBAQLVHANeWra0tbGxsYGpqWub939Wlaf+IqPrYsk1EREREVI9ERUVhwoQJGqc5OTmV++w3EekXk20iIiIionokPz8ff/31l8ZpRkZGcHJyquUaET2dmGwTERERERER6RlHIyciIiIiIiLSMybbRERERERERHrGZJuIiIiIiIhIz5hsExEREREREekZk20iIiIiIiIiPWOyTURERERERKRnTLaJiIiIiIiI9IzJNhEREREREZGe/T9226dnFZBlVAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Let's also compare against the same simulation and sensitivity analysis that was conducted in CHEMKIN\n", "# and saved as a .csv file\n", @@ -383,18 +179,11 @@ "print('CHEMKIN Simulation: Ethane Reaction Sensitivity')\n", "display(Image(filename=\"./temp/chemkin_sensitivity_ethane.png\"))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -408,9 +197,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.7" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } From dd7e1570e5e6b394dd69e08e6bde1a33c03896e0 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 13:27:21 -0400 Subject: [PATCH 323/700] fix keywords --- ipython/cantera_sensitivity_comparison.ipynb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ipython/cantera_sensitivity_comparison.ipynb b/ipython/cantera_sensitivity_comparison.ipynb index 4cb8cabe6c9..26aea697824 100644 --- a/ipython/cantera_sensitivity_comparison.ipynb +++ b/ipython/cantera_sensitivity_comparison.ipynb @@ -103,7 +103,8 @@ "#job.load_chemkin_model('data/ethane_model/chem_annotated.inp',transport_file='data/ethane_model/tran.dat')\n", "\n", "# Generate the conditions based on the settings we declared earlier\n", - "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist=Tlist, Plist=Plist)" + "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n", + " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)" ] }, { From 8912186da6822bf1cc1446686dffdb82f6774219 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 13:59:29 -0400 Subject: [PATCH 324/700] update cantera notebooks --- ipython/cantera_simulation.ipynb | 18 +++---- rmgpy/tools/canteramodel.py | 88 ++++++++++++++++++-------------- 2 files changed, 56 insertions(+), 50 deletions(-) diff --git a/ipython/cantera_simulation.ipynb b/ipython/cantera_simulation.ipynb index 188879bbff9..446eb39740e 100644 --- a/ipython/cantera_simulation.ipynb +++ b/ipython/cantera_simulation.ipynb @@ -80,7 +80,8 @@ "#job.load_chemkin_model('data/ethane_model/chem_annotated.inp',transport_file='data/ethane_model/tran.dat')\n", "\n", "# Generate the conditions based on the settings we declared earlier\n", - "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist, Plist)" + "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n", + " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)" ] }, { @@ -170,20 +171,13 @@ " print('Condition {0}'.format(i+1))\n", " display(Image(filename=\"temp/{0}_mole_fractions.png\".format(i+1)))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -195,9 +189,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 60e7c5a6ba1..825074d9d63 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -175,54 +175,66 @@ def generate_cantera_conditions(reactor_type_list, reaction_time_list, mol_frac_ This saves all the reaction conditions into the Cantera class. """ - # Create individual ScalarQuantity objects for Tlist, Plist, Vlist, and reaction_time_list - if Tlist: - Tlist = Quantity(Tlist) # Be able to create a Quantity object from it first - Tlist = [(Tlist.value[i], Tlist.units) for i in range(len(Tlist.value))] - if Plist: - Plist = Quantity(Plist) - Plist = [(Plist.value[i], Plist.units) for i in range(len(Plist.value))] - if Vlist: - Vlist = Quantity(Vlist) - Vlist = [(Vlist.value[i], Vlist.units) for i in range(len(Vlist.value))] - if reaction_time_list: - reaction_time_list = Quantity(reaction_time_list) - reaction_time_list = [(reaction_time_list.value[i], reaction_time_list.units) - for i in range(len(reaction_time_list.value))] + def convert_to_quantity_list(input_list): + """ + Convert an input list to a list of (value, unit) tuples using Quantity. + """ + if not input_list: + return None + quantity = Quantity(input_list) + return [(quantity.value[i], quantity.units) for i in range(len(quantity.value))] + + # Convert input lists to quantity lists + Tlist = convert_to_quantity_list(Tlist) + Plist = convert_to_quantity_list(Plist) + Vlist = convert_to_quantity_list(Vlist) + reaction_time_list = convert_to_quantity_list(reaction_time_list) conditions = [] if surface_mol_frac_list is None: - surface_mol_frac_list = [] # initialize here to avoid mutable default argument - - if Tlist is None: - for reactor_type in reactor_type_list: - for reaction_time in reaction_time_list: - for mol_frac in mol_frac_list: - for surface_mol_frac in surface_mol_frac_list: + surface_mol_frac_list = [None] + + for reactor_type in reactor_type_list: + for reaction_time in reaction_time_list: + for mol_frac in mol_frac_list: + for surface_mol_frac in surface_mol_frac_list: + # Handle the three possible cases where one of T,P,V must be None + if Tlist is None: for P in Plist: for V in Vlist: - conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, P0=P, V0=V)) - - elif Plist is None: - for reactor_type in reactor_type_list: - for reaction_time in reaction_time_list: - for mol_frac in mol_frac_list: - for surface_mol_frac in surface_mol_frac_list: + conditions.append(CanteraCondition( + reactor_type=reactor_type, + reaction_time=reaction_time, + mol_frac=mol_frac, + surface_mol_frac=surface_mol_frac, + P0=P, + V0=V + )) + elif Plist is None: for T in Tlist: for V in Vlist: - conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, T0=T, V0=V)) - - elif Vlist is None: - for reactor_type in reactor_type_list: - for reaction_time in reaction_time_list: - for mol_frac in mol_frac_list: - for surface_mol_frac in surface_mol_frac_list: + conditions.append(CanteraCondition( + reactor_type=reactor_type, + reaction_time=reaction_time, + mol_frac=mol_frac, + surface_mol_frac=surface_mol_frac, + T0=T, + V0=V + )) + elif Vlist is None: for T in Tlist: for P in Plist: - conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, T0=T, P0=P)) + conditions.append(CanteraCondition( + reactor_type=reactor_type, + reaction_time=reaction_time, + mol_frac=mol_frac, + surface_mol_frac=surface_mol_frac, + T0=T, + P0=P + )) - else: - raise Exception("Cantera conditions must leave one of T0, P0, and V0 state variables unspecified") + else: + raise Exception("Cantera conditions must leave one of T0, P0, and V0 state variables unspecified") return conditions From 399d99754d460f41a1732b2e02c94228c529e122 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 13:59:51 -0400 Subject: [PATCH 325/700] update np.float from cksv parser --- rmgpy/tools/ckcsvparser.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/tools/ckcsvparser.py b/rmgpy/tools/ckcsvparser.py index 181f1812b00..ea4b24f5ab4 100644 --- a/rmgpy/tools/ckcsvparser.py +++ b/rmgpy/tools/ckcsvparser.py @@ -150,7 +150,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], np.float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'cm3': 1.0, 'm3': 1.00e+6}[units] first_col_dict[header] = content_col continue From b29caaf49f7c2ba69e94e55f55cd56b2f7e378d4 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 14:18:27 -0400 Subject: [PATCH 326/700] update combustion demo --- ...ustion_model_and_ignition_delay_demo.ipynb | 36 +++++++------------ 1 file changed, 13 insertions(+), 23 deletions(-) diff --git a/ipython/combustion_model_and_ignition_delay_demo.ipynb b/ipython/combustion_model_and_ignition_delay_demo.ipynb index 2b3ff36d16f..96e64a7f79a 100644 --- a/ipython/combustion_model_and_ignition_delay_demo.ipynb +++ b/ipython/combustion_model_and_ignition_delay_demo.ipynb @@ -185,7 +185,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ "import time\n", @@ -245,12 +247,13 @@ "mol_frac_list=[{species_dict[fuel_species]: fuel_stoich,\n", " species_dict[O2_species]: 1,\n", " species_dict[N2_species]: 3.76}]\n", - "T_list = ([temperature],'K')\n", - "P_list = ([pressure],'atm')\n", + "Tlist = ([temperature],'K')\n", + "Plist = ([pressure],'atm')\n", "\n", "job = Cantera(species_list=species_list, reaction_list=reaction_list, output_directory=directory)\n", "job.load_chemkin_model(os.path.join(chem_path, 'chem_annotated.inp'), os.path.join(chem_path, 'tran.dat'))\n", - "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, T_list, P_list)\n", + "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n", + " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)\n", "\n", "alldata = job.simulate()\n", "print(\"Simulation Completed\")" @@ -266,9 +269,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "############### Settings ###############\n", @@ -280,7 +281,6 @@ "import pandas as pd\n", "from rmgpy.tools import plot as rmg_plot\n", "from operator import itemgetter\n", - "%matplotlib notebook\n", "\n", "times = alldata[0][0].data\n", "temperatures = alldata[0][1][0].data\n", @@ -353,9 +353,6 @@ "plt.rcParams['ytick.labelsize'] = 12\n", "plt.rcParams['figure.autolayout'] = True\n", "\n", - "plt.style.use('ggplot')\n", - "plt.style.use('seaborn-pastel')\n", - "\n", "fig = plt.figure(figsize=fsize)\n", "\n", "plt.subplot(1,2,1)\n", @@ -418,7 +415,7 @@ "outputs": [], "source": [ "import cantera as ct\n", - "gas = ct.Solution(os.path.join(directory, 'cantera', 'chem.cti'))\n", + "gas = ct.Solution(os.path.join(directory, 'cantera', 'chem.yaml'))\n", "comp = str(species_dict[fuel_species])+\":\"+str(fuel_stoich)+\",\"+str(species_dict[O2_species])+\":1,\"+str(species_dict[N2_species])+\":3.76\"\n", "gas.TPX = temperature, pressure, comp\n", "reactor = ct.IdealGasConstPressureReactor(gas)\n", @@ -439,21 +436,14 @@ "fullpath = os.getcwd() + '/' + img_file\n", "display(Image(fullpath))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -465,9 +455,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 920d89613d49f9db539f68324b58e41f7f1057ea Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 14:25:14 -0400 Subject: [PATCH 327/700] initial fix to parameter uncertainty assignment --- ...ter_sources_and_assign_uncertainties.ipynb | 29 ++++++------------- 1 file changed, 9 insertions(+), 20 deletions(-) diff --git a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb index ba841a86b98..3bac96c3e8c 100644 --- a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb +++ b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb @@ -38,7 +38,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "scrolled": false + "scrolled": true }, "outputs": [], "source": [ @@ -58,8 +58,8 @@ "metadata": {}, "outputs": [], "source": [ - "chem_file = './data/parse_source/chem_annotated.inp'\n", - "dict_file = './data/parse_source/species_dictionary.txt'" + "chem_file = './data/parse_source/chemkin/chem_annotated.inp'\n", + "dict_file = './data/parse_source/chemkin/species_dictionary.txt'" ] }, { @@ -108,9 +108,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "print('All Kinetic Sources')\n", @@ -349,28 +347,19 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "# See the kinetics correlated parameter partial uncertainties\n", "uncertainty.kinetic_input_uncertainties" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -382,9 +371,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } From 3bfddf813bdb3081387e586161224f787bbd8e84 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 14:35:22 -0400 Subject: [PATCH 328/700] clear local uncertainty --- ipython/local_uncertainty.ipynb | 25 ++++++++----------------- 1 file changed, 8 insertions(+), 17 deletions(-) diff --git a/ipython/local_uncertainty.ipynb b/ipython/local_uncertainty.ipynb index 659773e4c59..3d655f1358b 100644 --- a/ipython/local_uncertainty.ipynb +++ b/ipython/local_uncertainty.ipynb @@ -41,12 +41,12 @@ "# This is a small ethane pyrolysis model\n", "\n", "# Must use annotated chemkin file\n", - "chemkin_file = 'data/parse_source/chem_annotated.inp'\n", - "dict_file = 'data/parse_source/species_dictionary.txt'\n", + "chemkin_file = 'data/parse_source/chemkin/chem_annotated.inp'\n", + "dict_file = 'data/parse_source/chemkin/species_dictionary.txt'\n", "\n", "# Initialize the Uncertainty class instance and load the model\n", "uncertainty = Uncertainty(output_directory='./temp/uncertainty')\n", - "uncertainty.load_model(chemkin_file, dict_file)\n", + "uncertainty.load_model(chemkin_file, dict_file, use_chemkin_names=True)\n", "\n", "# Map the species to the objects within the Uncertainty class\n", "ethane = Species().from_smiles('CC')\n", @@ -83,9 +83,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "# Show the sensitivity plots\n", @@ -258,20 +256,13 @@ " print('{}: Reaction Uncertainty Contributions'.format(species))\n", " display(Image(filename=os.path.join(uncertainty.output_directory, 'correlated', 'kineticsLocalUncertainty_{}.png'.format(species.to_chemkin()))))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:rmg_env]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-rmg_env-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -283,9 +274,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.23" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 } From 6e013b9c1732939ee2971db897973dcc57b6566c Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 30 Jun 2025 15:00:26 -0400 Subject: [PATCH 329/700] update regression test --- rmgpy/tools/observablesregression.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py index 45e05b5460c..b8e333301e7 100644 --- a/rmgpy/tools/observablesregression.py +++ b/rmgpy/tools/observablesregression.py @@ -131,12 +131,14 @@ def __init__(self, title='', old_dir='', new_dir='', observables=None, expt_data old_species_list, old_reaction_list = load_chemkin_file( old_chemkin_path, old_species_dict_path, - old_transport_path + old_transport_path, + use_chemkin_names = True ) new_species_list, new_reaction_list = load_chemkin_file( new_chemkin_path, new_species_dict_path, - new_transport_path + new_transport_path, + use_chemkin_names = True ) old_surface_species_list = None From 76c92138df7e18f0455e0997a329cee20973de9d Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Thu, 3 Jul 2025 15:28:36 -0400 Subject: [PATCH 330/700] fix circular import error when running generateFluxDiagram --- rmgpy/tools/fluxdiagram.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/tools/fluxdiagram.py b/rmgpy/tools/fluxdiagram.py index f1ef0a30d81..7576c3ecd1c 100644 --- a/rmgpy/tools/fluxdiagram.py +++ b/rmgpy/tools/fluxdiagram.py @@ -40,7 +40,6 @@ import numpy as np import pydot -from rmgpy.kinetics.diffusionLimited import diffusion_limiter from rmgpy.rmg.settings import SimulatorSettings from rmgpy.solver.base import TerminationConversion, TerminationTime from rmgpy.solver.liquid import LiquidReactor @@ -541,6 +540,7 @@ def create_flux_diagram(input_file, chemkin_file, species_dict, save_path=None, Generates the flux diagram based on a condition 'input_file', chemkin.inp chemkin_file, a species_dict txt file, plus an optional chemkin_output file. """ + from rmgpy.kinetics.diffusionLimited import diffusion_limiter if species_path is None: species_path = os.path.join(os.path.dirname(input_file), 'species') generate_images = True From 454cce10b8898f3240501933ad6ebc2672883cc8 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 16:58:57 -0400 Subject: [PATCH 331/700] fix local uncertainty notebook Also add the two small simulation outputs so that the user doesn't have to rerun the job. --- ipython/data/parse_source/chem_annotated.inp | 791 ++++++++++++++++++ .../data/parse_source/species_dictionary.txt | 238 ++++++ ipython/local_uncertainty.ipynb | 6 +- 3 files changed, 1032 insertions(+), 3 deletions(-) create mode 100644 ipython/data/parse_source/chem_annotated.inp create mode 100644 ipython/data/parse_source/species_dictionary.txt diff --git a/ipython/data/parse_source/chem_annotated.inp b/ipython/data/parse_source/chem_annotated.inp new file mode 100644 index 00000000000..6f23b5fff33 --- /dev/null +++ b/ipython/data/parse_source/chem_annotated.inp @@ -0,0 +1,791 @@ +ELEMENTS + H + D /2.014/ + T /3.016/ + C + CI /13.003/ + O + OI /17.999/ + N + Ne + Ar + He + Si + S + F + Cl + Br + I + X /195.083/ +END + +SPECIES + Ar ! Ar + He ! He + Ne ! Ne + N2 ! N2 + ethane(1) ! ethane(1) + C(3) ! C(3) + [CH3](4) ! [CH3](4) + C[CH2](5) ! C[CH2](5) + [H](6) ! [H](6) + C2H4(9) ! C=C(9) + [H][H](13) ! [H][H](13) + C2H3(14) ! [CH]=C(14) + [CH2]CC(16) ! [CH2]CC(16) + C#C(20) ! C#C(20) + C4H7(24) ! [CH2]CC=C(24) + C4H6(25) ! C=CC=C(25) + C2H2(27) ! [C]=C(27) + C3H5(28) ! [CH]=CC(28) + C4H7(29) ! [CH]=CCC(29) + C4H5(31) ! [CH]=CC=C(31) + [CH2]C1CC1(46) ! [CH2]C1CC1(46) + C4H6(47) ! [CH2]C=C[CH2](47) + C4H7(49) ! [CH2]C=CC(49) + CC1[CH]C1(86) ! CC1[CH]C1(86) + C4H6(115) ! C=C=CC(115) + C4H6(200) ! C1=CCC1(200) +END + + + +THERM ALL + 300.000 1000.000 5000.000 + +! Thermo library: primaryThermoLibrary +Ar Ar 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4 + +! Thermo library: primaryThermoLibrary +He He 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4 + +! Thermo library: primaryThermoLibrary +Ne Ne 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4 + +! Thermo library: primaryThermoLibrary +N2 N 2 G 200.000 6000.000 1000.00 1 + 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2 +-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3 + 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4 + +! Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) +ethane(1) C 2H 6 G 100.000 5000.000 954.51 1 + 4.58983307E+00 1.41507715E-02-4.75962003E-06 8.60293917E-10-6.21716348E-14 2 +-1.27217663E+04-3.61740116E+00 3.78033462E+00-3.24262480E-03 5.52380397E-05 3 +-6.38580942E-08 2.28636966E-11-1.16203409E+04 5.21033695E+00 4 + +! Thermo library: primaryThermoLibrary +C(3) C 1H 4 G 100.000 5000.000 1084.12 1 + 9.08259430E-01 1.14540962E-02-4.57174412E-06 8.29193029E-10-5.66316007E-14 2 +-9.71997168E+03 1.39931301E+01 4.20541633E+00-5.35558620E-03 2.51123688E-05 3 +-2.13763364E-08 5.97526027E-12-1.01619434E+04-9.21283218E-01 4 + +! Thermo library: primaryThermoLibrary + radical(CH3) +[CH3](4) C 1H 3 G 100.000 5000.000 1337.63 1 + 3.54145742E+00 4.76786844E-03-1.82148431E-06 3.28876598E-10-2.22545603E-14 2 + 1.62239579E+04 1.66035007E+00 3.91546761E+00 1.84154318E-03 3.48741774E-06 3 +-3.32747622E-09 8.49956934E-13 1.62856394E+04 3.51741472E-01 4 + +! Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ) +C[CH2](5) C 2H 5 G 100.000 5000.000 900.31 1 + 5.15617570E+00 9.43128370E-03-1.81949426E-06 2.21204013E-10-1.43488224E-14 2 + 1.20640959E+04-2.91080147E+00 3.82184856E+00-3.43376314E-03 5.09263340E-05 3 +-6.20220235E-08 2.37077381E-11 1.30660124E+04 7.61638915E+00 4 + +! Thermo library: primaryThermoLibrary +[H](6) H 1 G 100.000 5000.000 4879.80 1 + 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2 + 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3 +-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4 + +! Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) +C2H4(9) C 2H 4 G 100.000 5000.000 940.45 1 + 5.20303125E+00 7.82435984E-03-2.12679614E-06 3.79681495E-10-2.94663143E-14 2 + 3.93626600E+03-6.62431874E+00 3.97973264E+00-7.57545379E-03 5.52967870E-05 3 +-6.36214316E-08 2.31763871E-11 5.07746136E+03 4.04626943E+00 4 + +! Thermo library: primaryThermoLibrary +[H][H](13) H 2 G 100.000 5000.000 1959.07 1 + 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2 +-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3 + 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4 + +! Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P) +C2H3(14) C 2H 3 G 100.000 5000.000 931.96 1 + 5.44796766E+00 4.98355762E-03-1.08820555E-06 1.79836782E-10-1.45095844E-14 2 + 3.38297738E+04-4.87809437E+00 3.90670476E+00-4.06240187E-03 3.86779713E-05 3 +-4.62975954E-08 1.72900180E-11 3.47971783E+04 6.09789219E+00 4 + +! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(RCCJ) +[CH2]CC(16) C 3H 7 G 100.000 5000.000 995.41 1 + 5.69429543E+00 1.96033646E-02-7.42051054E-06 1.35883288E-09-9.56217643E-14 2 + 8.87585429E+03-4.32881807E+00 3.09191659E+00 1.32172046E-02 2.75849094E-05 3 +-3.90850849E-08 1.43314166E-11 1.02284116E+04 1.24057745E+01 4 + +! Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) +C#C(20) C 2H 2 G 100.000 5000.000 888.63 1 + 5.76206627E+00 2.37155039E-03-1.49560503E-07-2.19208164E-11 2.21824257E-15 2 + 2.50944416E+04-9.82620311E+00 3.03573895E+00 7.71249669E-03 2.53452132E-06 3 +-1.08127265E-08 5.50729325E-12 2.58526447E+04 4.54464265E+00 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ) +C4H7(24) C 4H 7 G 100.000 5000.000 1000.94 1 + 7.59467430E+00 2.06426717E-02-7.89794754E-06 1.45967155E-09-1.03415744E-13 2 + 2.08073587E+04-1.19152615E+01 2.68062512E+00 2.10824413E-02 2.02127906E-05 3 +-3.64249680E-08 1.41447652E-11 2.27528007E+04 1.66008169E+01 4 + +! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +C4H6(25) C 4H 6 G 100.000 5000.000 940.96 1 + 1.10824653E+01 1.17733243E-02-3.11402426E-06 5.37717081E-10-4.10599112E-14 2 + 8.42123083E+03-3.51702703E+01 2.68201492E+00 1.69327425E-02 3.73631471E-05 3 +-6.26456621E-08 2.59135984E-11 1.13546034E+04 1.20325528E+01 4 + +! Thermo group additivity estimation: group(Cds-CdsHH) + group(CdJ2_singlet-Cds) +C2H2(27) C 2H 2 G 100.000 5000.000 1423.27 1 + 4.43042444E+00 4.87756740E-03-1.79374105E-06 3.04084635E-10-1.96651556E-14 2 + 4.78744081E+04-1.67101717E-01 3.69251626E+00 6.06584960E-03-2.11278263E-06 3 + 1.63599807E-11 1.07663446E-13 4.81741497E+04 3.96842441E+00 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cds_P) +C3H5(28) C 3H 5 G 100.000 5000.000 997.88 1 + 5.66470838E+00 1.44326145E-02-5.46738219E-06 1.00157959E-09-7.04860271E-14 2 + 2.93870866E+04-4.48510726E+00 3.23408227E+00 1.18208205E-02 1.70306145E-05 3 +-2.64366956E-08 9.91221259E-12 3.04873065E+04 1.03182757E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cds_P) +C4H7(29) C 4H 7 G 100.000 5000.000 999.92 1 + 8.06561312E+00 2.00624551E-02-7.60828718E-06 1.39783386E-09-9.86863849E-14 2 + 2.57831831E+04-1.54390019E+01 2.56531795E+00 2.39246087E-02 1.38111964E-05 3 +-3.10264137E-08 1.25442192E-11 2.77900544E+04 1.56311519E+01 4 + +! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P) +C4H5(31) C 4H 5 G 100.000 5000.000 935.57 1 + 1.13227232E+01 8.94057323E-03-2.08011664E-06 3.38985538E-10-2.61959472E-14 2 + 3.83166741E+04-3.40909155E+01 2.61017827E+00 2.04313104E-02 2.07968037E-05 3 +-4.53919901E-08 2.00578838E-11 4.10742695E+04 1.33867867E+01 4 + +! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) + radical(Isobutyl) +[CH2]C1CC1(46) C 4H 7 G 100.000 5000.000 926.05 1 + 1.02343998E+01 1.41135874E-02-2.99950204E-06 4.56679945E-10-3.49849430E-14 2 + 2.27934484E+04-2.92335596E+01 3.04744695E+00 5.45470301E-03 7.53345975E-05 3 +-1.02231846E-07 4.01852003E-11 2.58269353E+04 1.40788186E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + radical(Allyl_P) + +! radical(Allyl_P) +C4H6(47) C 4H 6 G 100.000 5000.000 961.82 1 + 9.92836169E+00 1.51090416E-02-5.13573052E-06 9.43600337E-10-6.92759988E-14 2 + 3.02830457E+04-2.74898954E+01 2.65641760E+00 1.89333016E-02 3.01003591E-05 3 +-5.20366396E-08 2.11241927E-11 3.29038783E+04 1.36623384E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + radical(Allyl_P) +C4H7(49) C 4H 7 G 100.000 5000.000 998.56 1 + 7.82810550E+00 2.08399209E-02-7.96744898E-06 1.47335591E-09-1.04523771E-13 2 + 1.26472001E+04-1.58825850E+01 2.64211980E+00 2.15955473E-02 2.09678537E-05 3 +-3.79203098E-08 1.47841987E-11 1.46809437E+04 1.41266987E+01 4 + +! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) + +! radical(cyclopropane) +CC1[CH]C1(86) C 4H 7 G 100.000 5000.000 963.98 1 + 7.79150450E+00 1.93089313E-02-6.71839525E-06 1.25740716E-09-9.31100316E-14 2 + 2.58575046E+04-1.60924149E+01 3.19574786E+00 4.34960008E-03 6.95104879E-05 3 +-8.80809345E-08 3.25732031E-11 2.83246377E+04 1.41117218E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cd-(Cd)CddHH) + group(Cdd-CdsCds) +C4H6(115) C 4H 6 G 100.000 5000.000 1038.23 1 + 6.96170373E+00 1.77754624E-02-7.11726623E-06 1.33754803E-09-9.49358139E-14 2 + 1.67162686E+04-2.17802726E+01 2.84853532E+00 1.92563603E-02 1.14985894E-05 3 +-2.39434432E-08 9.20174537E-12 1.83446214E+04 1.94649608E+00 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclobutene) +C4H6(200) C 4H 6 G 100.000 5000.000 950.24 1 + 9.42747389E+00 1.39643334E-02-4.06886448E-06 7.75020190E-10-6.20410141E-14 2 + 1.43342935E+04-2.81802850E+01 3.39619667E+00-3.43704755E-03 9.09457500E-05 3 +-1.13273491E-07 4.24106127E-11 1.74123953E+04 1.07744587E+01 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +! Reaction index: Chemkin #1; RMG #2 +! Template reaction: R_Recombination +! Flux pairs: [CH3](4), ethane(1); [CH3](4), ethane(1); +! Matched reaction 9 CH3 + CH3 <=> C2H6 in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing] +! family: R_Recombination +[CH3](4)+[CH3](4)<=>ethane(1) 9.450000e+14 -0.538 0.135 + +! Reaction index: Chemkin #2; RMG #5 +! Template reaction: H_Abstraction +! Flux pairs: [CH3](4), C(3); ethane(1), C[CH2](5); +! Matched reaction 215 C2H6 + CH3_r3 <=> C2H5b + CH4 in H_Abstraction/training +! This reaction matched rate rule [C/H3/Cs\H3;C_methyl] +! family: H_Abstraction +[CH3](4)+ethane(1)<=>C(3)+C[CH2](5) 3.500000e+01 3.440 10.384 + +! Reaction index: Chemkin #3; RMG #3 +! Template reaction: R_Recombination +! Flux pairs: C[CH2](5), ethane(1); [H](6), ethane(1); +! Matched reaction 58 H + C2H5 <=> C2H6-2 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN] +! family: R_Recombination +[H](6)+C[CH2](5)<=>ethane(1) 1.000000e+14 0.000 0.000 + +! Reaction index: Chemkin #4; RMG #19 +! Template reaction: R_Recombination +! Flux pairs: [CH3](4), C(3); [H](6), C(3); +! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O] +! family: R_Recombination +[H](6)+[CH3](4)<=>C(3) 1.930000e+14 0.000 0.270 + +! Reaction index: Chemkin #5; RMG #9 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H4(9), C[CH2](5); [H](6), C[CH2](5); +! Matched reaction 2541 H + C2H4 <=> C2H5-2 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-HH_Cds-HH;HJ] +! family: R_Addition_MultipleBond +[H](6)+C2H4(9)<=>C[CH2](5) 4.620000e+08 1.640 1.010 + +! Reaction index: Chemkin #6; RMG #11 +! Template reaction: Disproportionation +! Flux pairs: C[CH2](5), C2H4(9); [CH3](4), C(3); +! Matched reaction 5 CH3_r1 + C2H5 <=> CH4 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_Sp-2R!H-1C_2R!H->C] +! family: Disproportionation +[CH3](4)+C[CH2](5)<=>C(3)+C2H4(9) 6.570000e+14 -0.680 0.000 + +! Reaction index: Chemkin #7; RMG #15 +! Template reaction: Disproportionation +! Flux pairs: C[CH2](5), C2H4(9); C[CH2](5), ethane(1); +! Matched reaction 6 C2H5 + C2H5-2 <=> C2H6 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C] +! family: Disproportionation +C[CH2](5)+C[CH2](5)<=>C2H4(9)+ethane(1) 6.900000e+13 -0.350 0.000 + +! Reaction index: Chemkin #8; RMG #20 +! Template reaction: H_Abstraction +! Flux pairs: [H](6), [H][H](13); ethane(1), C[CH2](5); +! Matched reaction 210 C2H6 + H <=> C2H5b + H2_p in H_Abstraction/training +! This reaction matched rate rule [C/H3/Cs\H3;H_rad] +! family: H_Abstraction +[H](6)+ethane(1)<=>[H][H](13)+C[CH2](5) 1.150000e+08 1.900 7.530 + +! Reaction index: Chemkin #9; RMG #22 +! Template reaction: Disproportionation +! Flux pairs: C[CH2](5), C2H4(9); [H](6), [H][H](13); +! Matched reaction 4 H + C2H5 <=> H2 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_4R->H_Sp-2R!H-1R!H_2R!H-u1_N-1R!H->O_1CN->C_2R!H->C] +! family: Disproportionation +[H](6)+C[CH2](5)<=>[H][H](13)+C2H4(9) 1.083000e+13 0.000 0.000 + +! Reaction index: Chemkin #10; RMG #24 +! Template reaction: H_Abstraction +! Flux pairs: [H](6), [H][H](13); C(3), [CH3](4); +! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training +! This reaction matched rate rule [C_methane;H_rad] +! family: H_Abstraction +[H](6)+C(3)<=>[H][H](13)+[CH3](4) 4.100000e+03 3.156 8.755 + +! Reaction index: Chemkin #11; RMG #25 +! Template reaction: R_Recombination +! Flux pairs: [H](6), [H][H](13); [H](6), [H][H](13); +! Matched reaction 56 H + H <=> H2 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H] +! family: R_Recombination +[H](6)+[H](6)<=>[H][H](13) 5.450000e+10 0.000 1.500 + +! Reaction index: Chemkin #12; RMG #26 +! Template reaction: R_Recombination +! Flux pairs: C2H3(14), C2H4(9); [H](6), C2H4(9); +! Matched reaction 60 H + C2H3 <=> C2H4 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O] +! family: R_Recombination +[H](6)+C2H3(14)<=>C2H4(9) 1.210000e+14 0.000 0.000 + +! Reaction index: Chemkin #13; RMG #29 +! Template reaction: H_Abstraction +! Flux pairs: C(3), [CH3](4); C2H3(14), C2H4(9); +! Matched reaction 842 C2H3 + CH4b <=> C2H4 + CH3_p23 in H_Abstraction/training +! This reaction matched rate rule [Cd/H2/NonDeC;C_methyl] +! family: H_Abstraction +C(3)+C2H3(14)<=>[CH3](4)+C2H4(9) 2.236000e-02 4.340 5.700 + +! Reaction index: Chemkin #14; RMG #33 +! Template reaction: H_Abstraction +! Flux pairs: ethane(1), C[CH2](5); C2H3(14), C2H4(9); +! Matched reaction 774 C2H3 + C2H6 <=> C2H4 + C2H5 in H_Abstraction/training +! This reaction matched rate rule [Cd/H2/NonDeC;C_rad/H2/Cs\H3] +! family: H_Abstraction +C2H3(14)+ethane(1)<=>C2H4(9)+C[CH2](5) 1.080000e-03 4.550 3.500 + +! Reaction index: Chemkin #15; RMG #35 +! Template reaction: H_Abstraction +! Flux pairs: [H](6), [H][H](13); C2H4(9), C2H3(14); +! Matched reaction 217 C2H4 + H <=> C2H3_p + H2_p in H_Abstraction/training +! This reaction matched rate rule [Cd/H2/NonDeC;H_rad] +! family: H_Abstraction +[H](6)+C2H4(9)<=>[H][H](13)+C2H3(14) 2.400000e+02 3.620 11.266 + +! Reaction index: Chemkin #16; RMG #37 +! Template reaction: Disproportionation +! Flux pairs: C2H3(14), C2H4(9); C[CH2](5), C2H4(9); +! Matched reaction 11 C2H3-2 + C2H5 <=> C2H4-2 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_N-Sp-5CS-4CCNSS] +! family: Disproportionation +C2H3(14)+C[CH2](5)<=>C2H4(9)+C2H4(9) 4.560000e+14 -0.700 0.000 + +! Reaction index: Chemkin #17; RMG #39 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C#C(20), C2H3(14); [H](6), C2H3(14); +! Matched reaction 2697 H + C2H2 <=> C2H3-2 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Ct-H_Ct-H;HJ] +! family: R_Addition_MultipleBond +[H](6)+C#C(20)<=>C2H3(14) 1.030000e+09 1.640 2.110 + +! Reaction index: Chemkin #18; RMG #42 +! Template reaction: Disproportionation +! Flux pairs: C2H3(14), C#C(20); [CH3](4), C(3); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_N-Sp-2R!H-1C +! Multiplied by reaction path degeneracy 2.0 +[CH3](4)+C2H3(14)<=>C(3)+C#C(20) 1.620000e+06 1.870 0.000 + +! Reaction index: Chemkin #19; RMG #47 +! Template reaction: Disproportionation +! Flux pairs: C2H3(14), C#C(20); C[CH2](5), ethane(1); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS +! Multiplied by reaction path degeneracy 2.0 +C2H3(14)+C[CH2](5)<=>C#C(20)+ethane(1) 2.106380e+13 -0.251 0.000 + +! Reaction index: Chemkin #20; RMG #54 +! Template reaction: Disproportionation +! Flux pairs: C2H3(14), C#C(20); [H](6), [H][H](13); +! Estimated from node Root_4R->H_N-Sp-2R!H-1R!H_1R!H->C +! Multiplied by reaction path degeneracy 2.0 +[H](6)+C2H3(14)<=>[H][H](13)+C#C(20) 4.800000e+08 1.500 0.000 + +! Reaction index: Chemkin #21; RMG #61 +! Template reaction: Disproportionation +! Flux pairs: C2H3(14), C#C(20); C2H3(14), C2H4(9); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O +! Multiplied by reaction path degeneracy 2.0 +C2H3(14)+C2H3(14)<=>C#C(20)+C2H4(9) 2.959700e+13 -0.312 0.000 + +! Reaction index: Chemkin #22; RMG #67 +! Template reaction: Singlet_Carbene_Intra_Disproportionation +! Flux pairs: C2H2(27), C#C(20); +! Estimated from node Root +! Multiplied by reaction path degeneracy 2.0 +C2H2(27)<=>C#C(20) 7.903180e+18 -1.971 9.786 + +! Reaction index: Chemkin #23; RMG #30 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: [CH3](4), [CH2]CC(16); C2H4(9), [CH2]CC(16); +! Matched reaction 2902 CH3 + C2H4 <=> C3H7 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-HHH] +! family: R_Addition_MultipleBond +[CH3](4)+C2H4(9)<=>[CH2]CC(16) 8.610000e+02 2.988 7.238 + +! Reaction index: Chemkin #24; RMG #59 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H3(14), C4H7(24); C2H4(9), C4H7(24); +! Matched reaction 234 C2H3 + C2H4 <=> C4H7-3 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-HH_Cds-HH;CdsJ-H] +! family: R_Addition_MultipleBond +C2H3(14)+C2H4(9)<=>C4H7(24) 2.860000e+04 2.410 1.800 + +! Reaction index: Chemkin #25; RMG #138 +! Template reaction: Intra_R_Add_Exocyclic +! Flux pairs: C4H7(24), [CH2]C1CC1(46); +! Matched reaction 335 C4H7 <=> C4H7-2 in Intra_R_Add_Exocyclic/training +! This reaction matched rate rule [Backbone1_Sp-4R!H=1R!H] +! family: Intra_R_Add_Exocyclic +C4H7(24)<=>[CH2]C1CC1(46) 6.320000e+08 0.970 8.900 + +! Reaction index: Chemkin #26; RMG #74 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C[CH2](5), C4H7(29); C#C(20), C4H7(29); +! Matched reaction 2254 C2H2 + C2H5 <=> C4H7-6 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Ct-H_Ct-H;CsJ-CsHH] +! family: R_Addition_MultipleBond +C#C(20)+C[CH2](5)<=>C4H7(29) 1.360000e+04 2.410 6.200 + +! Reaction index: Chemkin #27; RMG #146 +! Template reaction: intra_H_migration +! Flux pairs: C4H7(29), C4H7(24); +! Estimated using template [R4H_DSS;Cd_rad_out_singleH;Cs_H_out] for rate rule [R4H_DSS;Cd_rad_out_singleH;Cs_H_out_2H] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: intra_H_migration +C4H7(29)<=>C4H7(24) 1.113000e+05 2.230 10.590 + +! Reaction index: Chemkin #28; RMG #144 +! Template reaction: intra_H_migration +! Flux pairs: C4H7(24), C4H7(49); +! Matched reaction 84 C:CC[CH2] <=> C:C[CH]C in intra_H_migration/training +! This reaction matched rate rule [R2H_S;C_rad_out_2H;Cs_H_out_H/Cd] +! family: intra_H_migration +C4H7(24)<=>C4H7(49) 1.720000e+06 1.990 27.200 + +! Reaction index: Chemkin #29; RMG #346 +! Template reaction: intra_H_migration +! Flux pairs: C4H7(29), C4H7(49); +! Matched reaction 194 C4H7-4 <=> C4H7-5 in intra_H_migration/training +! This reaction matched rate rule [R3H_DS;Cd_rad_out_singleH;Cs_H_out_H/NonDeC] +! family: intra_H_migration +C4H7(29)<=>C4H7(49) 1.846000e+10 0.740 34.700 + +! Reaction index: Chemkin #30; RMG #65 +! Template reaction: R_Recombination +! Flux pairs: C2H3(14), C4H6(25); C2H3(14), C4H6(25); +! Matched reaction 89 C2H3 + C2H3 <=> C4H6-4 in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_N-3R!H->O_N-Sp-3CCSS#2R_Ext-1C-R] +! family: R_Recombination +C2H3(14)+C2H3(14)<=>C4H6(25) 3.615000e+13 0.000 0.000 + +! Reaction index: Chemkin #31; RMG #139 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C4H6(25), C4H7(24); [H](6), C4H7(24); +! Matched reaction 2580 H + C4H6-2 <=> C4H7-11 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-CdH_Cds-HH;HJ] +! family: R_Addition_MultipleBond +[H](6)+C4H6(25)<=>C4H7(24) 3.240000e+08 1.640 2.400 + +! Reaction index: Chemkin #32; RMG #150 +! Template reaction: Disproportionation +! Flux pairs: C4H7(24), C4H6(25); [CH3](4), C(3); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 +! Multiplied by reaction path degeneracy 2.0 +[CH3](4)+C4H7(24)<=>C(3)+C4H6(25) 2.300000e+13 -0.320 0.000 + +! Reaction index: Chemkin #33; RMG #160 +! Template reaction: Disproportionation +! Flux pairs: C4H7(24), C4H6(25); C[CH2](5), ethane(1); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C +! Multiplied by reaction path degeneracy 2.0 +C[CH2](5)+C4H7(24)<=>ethane(1)+C4H6(25) 3.941700e+12 -0.039 0.000 + +! Reaction index: Chemkin #34; RMG #176 +! Template reaction: Disproportionation +! Flux pairs: C4H7(24), C4H6(25); [H](6), [H][H](13); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_N-4CHNS->C +! Multiplied by reaction path degeneracy 2.0 +[H](6)+C4H7(24)<=>[H][H](13)+C4H6(25) 3.620000e+12 0.000 0.000 + +! Reaction index: Chemkin #35; RMG #197 +! Template reaction: Disproportionation +! Flux pairs: C4H7(24), C4H6(25); C2H3(14), C2H4(9); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C +! Multiplied by reaction path degeneracy 2.0 +C2H3(14)+C4H7(24)<=>C2H4(9)+C4H6(25) 2.420000e+12 0.000 0.000 + +! Reaction index: Chemkin #36; RMG #468 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C4H6(25), C4H7(49); [H](6), C4H7(49); +! Matched reaction 2544 H + C4H6 <=> C4H7-9 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-HH_Cds-CdH;HJ] +! family: R_Addition_MultipleBond +[H](6)+C4H6(25)<=>C4H7(49) 4.620000e+08 1.640 -0.470 + +! Reaction index: Chemkin #37; RMG #484 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); [CH3](4), C(3); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 3.0 +[CH3](4)+C4H7(49)<=>C(3)+C4H6(25) 1.500000e+11 0.000 0.000 + +! Reaction index: Chemkin #38; RMG #501 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); C[CH2](5), ethane(1); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 3.0 +C[CH2](5)+C4H7(49)<=>ethane(1)+C4H6(25) 1.500000e+11 0.000 0.000 + +! Reaction index: Chemkin #39; RMG #519 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); [H](6), [H][H](13); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C +! Multiplied by reaction path degeneracy 3.0 +[H](6)+C4H7(49)<=>[H][H](13)+C4H6(25) 2.169000e+13 0.000 3.986 + +! Reaction index: Chemkin #40; RMG #558 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); C2H3(14), C2H4(9); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 3.0 +C2H3(14)+C4H7(49)<=>C2H4(9)+C4H6(25) 1.500000e+11 0.000 0.000 + +! Reaction index: Chemkin #41; RMG #752 +! Template reaction: Intra_2+2_cycloaddition_Cd +! Flux pairs: C4H6(25), C4H6(200); +! Matched reaction 1 C4H6_BD <=> C4H6_CB in Intra_2+2_cycloaddition_Cd/training +! This reaction matched rate rule [1,3-butadiene_backbone;CdH2_1;CdH2_2] +! family: Intra_2+2_cycloaddition_Cd +C4H6(25)<=>C4H6(200) 6.706520e+13 -0.361 44.856 + +! Reaction index: Chemkin #42; RMG #141 +! Template reaction: R_Recombination +! Flux pairs: C4H6(47), C4H7(24); [H](6), C4H7(24); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R +! Multiplied by reaction path degeneracy 2.0 +[H](6)+C4H6(47)<=>C4H7(24) 3.532740e+13 0.153 0.000 + +! Reaction index: Chemkin #43; RMG #187 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H7(24); C[CH2](5), C2H4(9); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_Ext-4CNS-R +! Multiplied by reaction path degeneracy 6.0 +C[CH2](5)+C4H6(47)<=>C2H4(9)+C4H7(24) 4.660962e+15 -0.900 1.445 + +! Reaction index: Chemkin #44; RMG #218 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H7(24); C2H3(14), C#C(20); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS +! Multiplied by reaction path degeneracy 4.0 +C2H3(14)+C4H6(47)<=>C#C(20)+C4H7(24) 4.212760e+13 -0.251 0.000 + +! Reaction index: Chemkin #45; RMG #462 +! Template reaction: R_Recombination +! Flux pairs: C4H6(47), C4H7(49); [H](6), C4H7(49); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- +! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing +! Multiplied by reaction path degeneracy 2.0 +[H](6)+C4H6(47)<=>C4H7(49) 3.251960e+13 0.255 0.000 + +! Reaction index: Chemkin #46; RMG #526 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H7(49); C[CH2](5), C2H4(9); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C_Ext-5CS-R +! Multiplied by reaction path degeneracy 6.0 +C[CH2](5)+C4H6(47)<=>C2H4(9)+C4H7(49) 1.374000e+14 -0.350 0.000 + +! Reaction index: Chemkin #47; RMG #569 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H7(49); C2H3(14), C#C(20); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS +! Multiplied by reaction path degeneracy 4.0 +C2H3(14)+C4H6(47)<=>C#C(20)+C4H7(49) 4.212760e+13 -0.251 0.000 + +! Reaction index: Chemkin #48; RMG #817 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H6(25); C4H7(24), C4H7(24); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C +! Multiplied by reaction path degeneracy 4.0 +C4H6(47)+C4H7(24)<=>C4H6(25)+C4H7(24) 4.210600e+14 -0.550 0.640 + +! Reaction index: Chemkin #49; RMG #818 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H7(24); C4H6(47), C4H6(25); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 6.0 +C4H6(47)+C4H7(49)<=>C4H6(25)+C4H7(24) 3.000000e+11 0.000 0.000 + +! Reaction index: Chemkin #50; RMG #866 +! Template reaction: Disproportionation +! Flux pairs: C4H6(47), C4H6(25); C4H7(24), C4H7(49); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C_Ext-6C-R +! Multiplied by reaction path degeneracy 4.0 +C4H6(47)+C4H7(24)<=>C4H6(25)+C4H7(49) 5.800000e+12 0.000 0.000 + +! Reaction index: Chemkin #51; RMG #867 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H7(49); C4H6(47), C4H6(25); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 6.0 +C4H6(47)+C4H7(49)<=>C4H6(25)+C4H7(49) 3.000000e+11 0.000 0.000 + +! Reaction index: Chemkin #52; RMG #908 +! Template reaction: Birad_recombination +! Flux pairs: C4H6(47), C4H6(200); +! Estimated from node Root_1R!H->C +C4H6(47)<=>C4H6(200) 8.690880e+06 1.216 0.000 + +! Reaction index: Chemkin #53; RMG #1034 +! Template reaction: 1,2-Birad_to_alkene +! Flux pairs: C4H6(47), C4H6(25); +! Matched reaction 5 C4H6 => C4H6-2 in 1,2-Birad_to_alkene/training +! This reaction matched rate rule [Y_12_01] +! family: 1,2-Birad_to_alkene +C4H6(47)=>C4H6(25) 5.010000e+07 0.000 0.000 + +! Reaction index: Chemkin #54; RMG #271 +! Template reaction: intra_H_migration +! Flux pairs: CC1[CH]C1(86), [CH2]C1CC1(46); +! Estimated using template [R3H_SS;C_rad_out_H/NonDeC;Cs_H_out_2H] for rate rule [R3H_SS_12cy3;C_rad_out_H/NonDeC;Cs_H_out_2H] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: intra_H_migration +CC1[CH]C1(86)<=>[CH2]C1CC1(46) 7.772027e+08 1.395 45.950 + +! Reaction index: Chemkin #55; RMG #459 +! Template reaction: Intra_R_Add_Endocyclic +! Flux pairs: C4H7(49), CC1[CH]C1(86); +! Estimated from node Backbone0_N-2R!H-inRing_N-1R!H-inRing_Sp-2R!H-1R!H_Ext-3R!H-R_Sp-3R!H=1R!H +C4H7(49)<=>CC1[CH]C1(86) 3.683930e+12 -0.105 35.881 + +! Reaction index: Chemkin #56; RMG #460 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C4H6(115), C4H7(49); [H](6), C4H7(49); +! Matched reaction 2714 H + C4H6-4 <=> C4H7-13 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Ca_Cds-HH;HJ] +! family: R_Addition_MultipleBond +[H](6)+C4H6(115)<=>C4H7(49) 5.460000e+08 1.640 3.780 + +! Reaction index: Chemkin #57; RMG #475 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); [CH3](4), C(3); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H +[CH3](4)+C4H7(49)<=>C(3)+C4H6(115) 4.339290e+05 1.968 2.212 + +! Reaction index: Chemkin #58; RMG #489 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); C[CH2](5), ethane(1); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Sp-6R!H-4CHNS +C[CH2](5)+C4H7(49)<=>ethane(1)+C4H6(115) 9.640000e+11 0.000 6.652 + +! Reaction index: Chemkin #59; RMG #513 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); [H](6), [H][H](13); +! Estimated from node Root_Ext-1R!H-R_N-4R->O +[H](6)+C4H7(49)<=>[H][H](13)+C4H6(115) 1.356420e+10 0.470 0.000 + +! Reaction index: Chemkin #60; RMG #542 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); C2H3(14), C2H4(9); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_N-Sp-6R!H-4CHNS +C2H3(14)+C4H7(49)<=>C2H4(9)+C4H6(115) 2.410000e+12 0.000 0.000 + +! Reaction index: Chemkin #61; RMG #1028 +! Template reaction: Intra_Disproportionation +! Flux pairs: C4H6(47), C4H6(115); +! Estimated using an average for rate rule [R3radExo;Y_rad;XH_Rrad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Intra_Disproportionation +C4H6(47)<=>C4H6(115) 1.487400e+09 1.045 15.153 + +! Reaction index: Chemkin #62; RMG #1173 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); C4H6(47), C4H7(49); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R +! Multiplied by reaction path degeneracy 2.0 +C4H6(47)+C4H7(49)<=>C4H6(115)+C4H7(49) 1.686000e+11 0.000 6.982 + +! Reaction index: Chemkin #63; RMG #1190 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(115); C4H6(47), C4H7(24); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R +! Multiplied by reaction path degeneracy 2.0 +C4H6(47)+C4H7(49)<=>C4H6(115)+C4H7(24) 1.686000e+11 0.000 12.469 + +! Reaction index: Chemkin #64; RMG #82 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H3(14), C4H5(31); C#C(20), C4H5(31); +! Matched reaction 196 C2H2 + C2H3 <=> C4H5-8 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Ct-H_Ct-H;CdsJ-H] +! family: R_Addition_MultipleBond +C#C(20)+C2H3(14)<=>C4H5(31) 1.168000e+07 1.997 5.452 + +! Reaction index: Chemkin #65; RMG #757 +! Template reaction: R_Recombination +! Flux pairs: C4H5(31), C4H6(25); [H](6), C4H6(25); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O +[H](6)+C4H5(31)<=>C4H6(25) 8.156660e+18 -1.493 0.000 + +! Reaction index: Chemkin #66; RMG #763 +! Template reaction: H_Abstraction +! Flux pairs: [CH3](4), C(3); C4H6(25), C4H5(31); +! From training reaction 1566 used for Cd/H2/NonDeC;C_methyl +! Exact match found for rate rule [Cd/H2/NonDeC;C_methyl] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: H_Abstraction +[CH3](4)+C4H6(25)<=>C(3)+C4H5(31) 3.432000e-02 4.340 20.710 + +! Reaction index: Chemkin #67; RMG #771 +! Template reaction: H_Abstraction +! Flux pairs: C[CH2](5), ethane(1); C4H6(25), C4H5(31); +! From training reaction 343 used for Cd/H2/NonDeC;C_rad/H2/Cs\H3 +! Exact match found for rate rule [Cd/H2/NonDeC;C_rad/H2/Cs\H3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: H_Abstraction +C[CH2](5)+C4H6(25)<=>ethane(1)+C4H5(31) 6.320000e+02 3.130 18.000 + +! Reaction index: Chemkin #68; RMG #775 +! Template reaction: H_Abstraction +! Flux pairs: [H](6), [H][H](13); C4H6(25), C4H5(31); +! From training reaction 217 used for Cd/H2/NonDeC;H_rad +! Exact match found for rate rule [Cd/H2/NonDeC;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: H_Abstraction +[H](6)+C4H6(25)<=>[H][H](13)+C4H5(31) 2.400000e+02 3.620 11.266 + +! Reaction index: Chemkin #69; RMG #780 +! Template reaction: Disproportionation +! Flux pairs: C4H5(31), C4H6(25); C[CH2](5), C2H4(9); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_N-Sp-5CS-4CCNSS +! Multiplied by reaction path degeneracy 3.0 +C[CH2](5)+C4H5(31)<=>C2H4(9)+C4H6(25) 4.560000e+14 -0.700 0.000 + +! Reaction index: Chemkin #70; RMG #789 +! Template reaction: H_Abstraction +! Flux pairs: C2H3(14), C2H4(9); C4H6(25), C4H5(31); +! Matched reaction 177 C4H6-3 + C2H3 <=> C2H4 + C4H5 in H_Abstraction/training +! This reaction matched rate rule [Cd/H2/NonDeC;Cd_Cd\H2_pri_rad] +! family: H_Abstraction +C2H3(14)+C4H6(25)<=>C2H4(9)+C4H5(31) 3.437000e-04 4.732 6.579 + +! Reaction index: Chemkin #71; RMG #798 +! Template reaction: Disproportionation +! Flux pairs: C4H5(31), C4H6(25); C2H3(14), C#C(20); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O +! Multiplied by reaction path degeneracy 2.0 +C2H3(14)+C4H5(31)<=>C#C(20)+C4H6(25) 2.959700e+13 -0.312 0.000 + +! Reaction index: Chemkin #72; RMG #904 +! Template reaction: Disproportionation +! Flux pairs: C4H7(24), C4H6(25); C4H5(31), C4H6(25); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C +! Multiplied by reaction path degeneracy 2.0 +C4H5(31)+C4H7(24)<=>C4H6(25)+C4H6(25) 2.420000e+12 0.000 0.000 + +! Reaction index: Chemkin #73; RMG #905 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); C4H5(31), C4H6(25); +! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C +! Multiplied by reaction path degeneracy 3.0 +C4H5(31)+C4H7(49)<=>C4H6(25)+C4H6(25) 1.500000e+11 0.000 0.000 + +! Reaction index: Chemkin #74; RMG #1681 +! Template reaction: Disproportionation +! Flux pairs: C4H7(49), C4H6(25); C4H5(31), C4H6(115); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R +C4H5(31)+C4H7(49)<=>C4H6(115)+C4H6(25) 8.430000e+10 0.000 2.130 + +! Reaction index: Chemkin #75; RMG #70 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: [CH3](4), C3H5(28); C#C(20), C3H5(28); +! Matched reaction 2253 C2H2 + CH3 <=> C3H5-2 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Ct-H_Ct-H;CsJ-HHH] +! family: R_Addition_MultipleBond +[CH3](4)+C#C(20)<=>C3H5(28) 1.338000e+05 2.410 6.770 + +END + diff --git a/ipython/data/parse_source/species_dictionary.txt b/ipython/data/parse_source/species_dictionary.txt new file mode 100644 index 00000000000..19abe31c11c --- /dev/null +++ b/ipython/data/parse_source/species_dictionary.txt @@ -0,0 +1,238 @@ +Ar +1 Ar u0 p4 c0 + +He +1 He u0 p1 c0 + +Ne +1 Ne u0 p4 c0 + +N2 +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} + +ethane(1) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} + +[CH3](4) +multiplicity 2 +1 C u1 p0 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} + +C[CH2](5) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u1 p0 c0 {1,S} {6,S} {7,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} + +C(3) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} + +[H](6) +multiplicity 2 +1 H u1 p0 c0 + +C2H4(9) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} + +[H][H](13) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} + +C2H3(14) +multiplicity 2 +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u1 p0 c0 {1,D} {5,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} + +C#C(20) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} + +C2H2(27) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p1 c0 {1,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} + +[CH2]CC(16) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u1 p0 c0 {1,S} {9,S} {10,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} + +C4H7(24) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {4,D} {7,S} +3 C u1 p0 c0 {1,S} {8,S} {9,S} +4 C u0 p0 c0 {2,D} {10,S} {11,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {4,S} +11 H u0 p0 c0 {4,S} + +[CH2]C1CC1(46) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,S} {9,S} +4 C u1 p0 c0 {1,S} {10,S} {11,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {4,S} +11 H u0 p0 c0 {4,S} + +C4H7(29) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {4,D} {10,S} +4 C u1 p0 c0 {3,D} {11,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {4,S} + +C4H7(49) +multiplicity 2 +1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {8,S} +3 C u0 p0 c0 {2,D} {4,S} {9,S} +4 C u1 p0 c0 {3,S} {10,S} {11,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {4,S} +11 H u0 p0 c0 {4,S} + +C4H6(25) +1 C u0 p0 c0 {2,S} {3,D} {5,S} +2 C u0 p0 c0 {1,S} {4,D} {6,S} +3 C u0 p0 c0 {1,D} {7,S} {8,S} +4 C u0 p0 c0 {2,D} {9,S} {10,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {4,S} + +C4H6(200) +1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {4,D} {9,S} +4 C u0 p0 c0 {2,S} {3,D} {10,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {4,S} + +C4H6(47) +multiplicity 3 +1 C u0 p0 c0 {2,D} {3,S} {5,S} +2 C u0 p0 c0 {1,D} {4,S} {6,S} +3 C u1 p0 c0 {1,S} {7,S} {8,S} +4 C u1 p0 c0 {2,S} {9,S} {10,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {4,S} + +CC1[CH]C1(86) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +4 C u1 p0 c0 {1,S} {2,S} {11,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {4,S} + +C4H6(115) +1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {4,D} {8,S} +3 C u0 p0 c0 {4,D} {9,S} {10,S} +4 C u0 p0 c0 {2,D} {3,D} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} + +C4H5(31) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,D} {5,S} +2 C u0 p0 c0 {1,S} {4,D} {6,S} +3 C u0 p0 c0 {1,D} {7,S} {8,S} +4 C u1 p0 c0 {2,D} {9,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {4,S} + +C3H5(28) +multiplicity 2 +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u1 p0 c0 {2,D} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} + diff --git a/ipython/local_uncertainty.ipynb b/ipython/local_uncertainty.ipynb index 3d655f1358b..9afc08d09fe 100644 --- a/ipython/local_uncertainty.ipynb +++ b/ipython/local_uncertainty.ipynb @@ -41,12 +41,12 @@ "# This is a small ethane pyrolysis model\n", "\n", "# Must use annotated chemkin file\n", - "chemkin_file = 'data/parse_source/chemkin/chem_annotated.inp'\n", - "dict_file = 'data/parse_source/chemkin/species_dictionary.txt'\n", + "chemkin_file = 'data/parse_source/chem_annotated.inp'\n", + "dict_file = 'data/parse_source/species_dictionary.txt'\n", "\n", "# Initialize the Uncertainty class instance and load the model\n", "uncertainty = Uncertainty(output_directory='./temp/uncertainty')\n", - "uncertainty.load_model(chemkin_file, dict_file, use_chemkin_names=True)\n", + "uncertainty.load_model(chemkin_file, dict_file)\n", "\n", "# Map the species to the objects within the Uncertainty class\n", "ethane = Species().from_smiles('CC')\n", From c1d146d8ed8b8c9ae6faa9daca22dea229a4b9c3 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 17:02:38 -0400 Subject: [PATCH 332/700] fix find_parameter_sources notebook --- ...ter_sources_and_assign_uncertainties.ipynb | 31 ++++++------------- 1 file changed, 9 insertions(+), 22 deletions(-) diff --git a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb index 3bac96c3e8c..c6314eae741 100644 --- a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb +++ b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb @@ -25,26 +25,6 @@ "__Note__: The RMG-database version must match the version used to generate the model. RMG will attempt to recreate the kinetics estimate for each reaction and may fail if the database is different." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Run RMG job\n", - "This cell is used only when the user is interested in learning this module with the provided toy model, ./data/parse_source/input.py.\n", - "The user can speed up the model generation by commenting out the uncertainty block in ./data/parse_source/input.py." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!python ../rmg.py ./data/parse_source/input.py" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -58,8 +38,8 @@ "metadata": {}, "outputs": [], "source": [ - "chem_file = './data/parse_source/chemkin/chem_annotated.inp'\n", - "dict_file = './data/parse_source/chemkin/species_dictionary.txt'" + "chem_file = './data/parse_source/chem_annotated.inp'\n", + "dict_file = './data/parse_source/species_dictionary.txt'" ] }, { @@ -353,6 +333,13 @@ "# See the kinetics correlated parameter partial uncertainties\n", "uncertainty.kinetic_input_uncertainties" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 4d72e90e902a0220c29c0f60c3430a84bf1ba27f Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 18:14:24 -0400 Subject: [PATCH 333/700] Fix fragment notebook & utils The previous implementation of the fragment notebook/utils don't work correctly. The utils didn't work independently outside of the notebook. This commit moves the FragmentList definition to the utils code, and just imports everything from the notebook. It also fixes some other errors in the codebase. --- ipython/fragment_reattachment_example.ipynb | 948 +------------------- rmgpy/molecule/fragment_utils.py | 422 ++++++++- 2 files changed, 445 insertions(+), 925 deletions(-) diff --git a/ipython/fragment_reattachment_example.ipynb b/ipython/fragment_reattachment_example.ipynb index 9c45b4cc7ad..6267985844a 100644 --- a/ipython/fragment_reattachment_example.ipynb +++ b/ipython/fragment_reattachment_example.ipynb @@ -14,453 +14,17 @@ "execution_count": 1, "id": "285ac939-646d-46e6-a5b9-286661e1ad18", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:No normalization for BCUT2D_MWHI\n", - "WARNING:root:No normalization for BCUT2D_MWLOW\n", - "WARNING:root:No normalization for BCUT2D_CHGHI\n", - "WARNING:root:No normalization for BCUT2D_CHGLO\n", - "WARNING:root:No normalization for BCUT2D_LOGPHI\n", - "WARNING:root:No normalization for BCUT2D_LOGPLOW\n", - "WARNING:root:No normalization for BCUT2D_MRHI\n", - "WARNING:root:No normalization for BCUT2D_MRLOW\n", - "WARNING:root:No normalization for AvgIpc\n" - ] - } - ], + "outputs": [], "source": [ - "import sys\n", - "rmgpy_loc = \"/home/gridsan/adoner/RMG-Py/\"\n", - "sys.path.append(rmgpy_loc)\n", "from rmgpy.molecule.fragment import Fragment\n", "from rmgpy.tools.canteramodel import Cantera\n", "from rmgpy.chemkin import load_chemkin_file\n", - "from rmgpy.molecule.fragment_utils import match_sequences, match_concentrations_with_same_sums, match_concentrations_with_different_sums, shuffle, flatten, merge_frag_to_frag, merge_frag_list\n", - "import re\n", + "from rmgpy.molecule import fragment_utils as frag\n", "import os\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, - { - "cell_type": "markdown", - "id": "045d6ebe-c055-42bc-ae55-643599631ea3", - "metadata": {}, - "source": [ - "## Defining the class FragList\n", - "The `FragList` object stores molecule and fragment concentrations from a single time step and provides a series of functions that groups fragments to form molecules. The procedure is described later on in this notebook." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "9802cd48-4a7b-4244-acf8-cba0fc1aab69", - "metadata": {}, - "outputs": [], - "source": [ - "class FragList():\n", - " '''\n", - " to instantiate a FragList:\n", - " fl = Fraglist(frag_list)\n", - " where frag_list is a list of tuples of fragments and their amounts\n", - " '''\n", - "\n", - " def __init__(self, frag_list):\n", - " self.raw_fragment_output = frag_list\n", - "\n", - " def sort(self):\n", - " '''\n", - " sort a FragList into\n", - " general_R_list - 2R fragments\n", - " general_L_list - 2L fragments\n", - " rr_ll_list - 2R or 2L fragments\n", - " r_l_moles - 1R and 1L fragments\n", - " multi_label_frag_3 - fragments with 3 cutting labels\n", - " multi_label_frag_4 - fragments with 4 cutting labels\n", - "\n", - " note: in our experience fragments with more than 4 cutting labels has never happened, but a warning will be printed if it does happen\n", - " '''\n", - " moles_remain = []\n", - " one_R_dict = {}\n", - " one_L_dict = {}\n", - " general_R_list = []\n", - " general_L_list = []\n", - " rr_ll_list = []\n", - " r_l_moles = []\n", - " multi_label_frag_3 = []\n", - " multi_label_frag_4 = []\n", - "\n", - " for i, item in enumerate(self.raw_fragment_output):\n", - " frag, amt = item\n", - " if amt > 1e-6 and '[' not in frag:\n", - " count_of_L_labels = len(re.findall(r'L', frag))\n", - " count_of_R_labels = len(re.findall(r'R', frag))\n", - " count_of_cutting_labels = count_of_L_labels + count_of_R_labels\n", - " if count_of_R_labels == 0 and count_of_L_labels == 0:\n", - " moles_remain.append((frag, amt))\n", - " elif count_of_R_labels == 1 and count_of_L_labels == 0:\n", - " one_R_dict[frag] = amt\n", - " elif count_of_R_labels == 2 and count_of_L_labels == 0:\n", - " general_R_list.append((frag, amt * 2))\n", - " rr_ll_list.append(frag)\n", - " elif count_of_R_labels == 0 and count_of_L_labels == 1:\n", - " one_L_dict[frag] = amt\n", - " elif count_of_R_labels == 0 and count_of_L_labels == 2:\n", - " general_L_list.append((frag, amt * 2))\n", - " rr_ll_list.append(frag)\n", - " elif count_of_R_labels == 1 and count_of_L_labels == 1:\n", - " r_l_moles.append((frag, amt))\n", - " else:\n", - " if count_of_cutting_labels == 3:\n", - " multi_label_frag_3.append(\n", - " (frag, amt)) # 2R1L, 1R2L, 3R, 3L\n", - " elif count_of_cutting_labels == 4:\n", - " multi_label_frag_4.append((frag, amt))\n", - " else:\n", - " print(\n", - " f\"Warning! {count_of_cutting_labels} cutting labels in {frag}\")\n", - " self.R1dict=one_R_dict\n", - " self.L1dict=one_L_dict\n", - " self.Rlist=general_R_list\n", - " self.Llist=general_L_list\n", - " self.RRLLlist=rr_ll_list\n", - " self.RLlist=r_l_moles\n", - " self.CL3=multi_label_frag_3\n", - " self.CL4=multi_label_frag_4\n", - " self.molesremain=moles_remain\n", - "\n", - " def random_pick_frag(target_dict):\n", - " '''\n", - " argument(s): target_dict - dictionary where key = species smiles (fragment or molecule), value = moles\n", - " returns: tuple of randomly picked (fragment with 1 cutting label, moles)\n", - "\n", - " choice is weighted by mole fraction of each fragment\n", - " '''\n", - " import random\n", - " import re\n", - " frag_dict_list=[x for x in target_dict.items() if len(\n", - " re.findall(r'[LR]', x[0])) == 1]\n", - " sum_dict=sum([x[1] for x in frag_dict_list])\n", - " frag_dict_prob=[x[1] / sum_dict for x in frag_dict_list]\n", - " item=np.random.choice(frag_dict_list, 1, p = frag_dict_prob)\n", - "\n", - " return item\n", - "\n", - " def pair_frag(amount, target_dict):\n", - " '''\n", - " argument(s): amount - maximum amount of fragments in one pair\n", - " target_dict - dictionary of species smiles and moles\n", - " returns: the target_dict with 1 randomly chosen 1-cutting label fragment fully paired with other randomly chosen 1-cutting label fragments\n", - " '''\n", - " additional_frag_list=[]\n", - " frag1=FragList.random_pick_frag(target_dict)\n", - "\n", - " if target_dict[frag1] >= amount:\n", - " target_dict[frag1] -= amount\n", - " additional_frag_list.append((frag1, amount))\n", - "\n", - " else:\n", - " remain=amount - target_dict[frag1]\n", - " additional_frag_list.append((frag1, amount))\n", - " target_dict[frag1]=0\n", - "\n", - " while remain > 0:\n", - " frag1=FragList.random_pick_frag(target_dict)\n", - "\n", - " if target_dict[frag1] >= remain:\n", - " target_dict[frag1] -= remain\n", - " additional_frag_list.append((frag1, remain))\n", - " remain=0\n", - "\n", - " else:\n", - " frag_amt=target_dict[frag1]\n", - " target_dict[frag1]=0\n", - " additional_frag_list.append((frag1, frag_amt))\n", - " remain=remain - frag_amt\n", - " return additional_frag_list\n", - "\n", - " def pair_CL4s(self):\n", - " '''\n", - " pairs all 4-cutting label fragments with other randomly picked 1-cutting label fragments, creating 3-cutting label fragments\n", - " '''\n", - "\n", - " for species, amount in self.CL4: # 4R, 3R1L, 2R2L, 1R3L, 4L\n", - " ount_of_R_labels=len(re.findall(r'R', species))\n", - " count_of_L_labels=len(re.findall(r'L', species))\n", - " if count_of_R_labels == 4 and count_of_L_labels == 0:\n", - " paired_frag_list=FragList.pair_frag(amount, self.L1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag=frag_amt[0]\n", - " amt=frag_amt[1]\n", - " frag1=frag # 1L\n", - " frag2=species # 4R\n", - " frag_new=FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3\n", - " self.CL3.append((frag_new, amt))\n", - "\n", - " elif count_of_R_labels == 0 and count_of_L_labels == 4:\n", - " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1R\n", - " frag2 = species # 4L\n", - " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3L\n", - " self.CL3.append((frag_new, amt))\n", - "\n", - " elif count_of_R_labels == 2 and count_of_L_labels == 2:\n", - " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1L\n", - " frag2 = species # 2R2L\n", - " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 1R2L\n", - " self.CL3.append((frag_new, amt))\n", - "\n", - " elif count_of_R_labels == 3 and count_of_L_labels == 1:\n", - " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1R\n", - " frag2 = species # 3R1L\n", - " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3R\n", - " self.CL3.append((frag_new, amt))\n", - "\n", - " elif count_of_R_labels == 1 and count_of_L_labels == 3:\n", - " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1L\n", - " frag2 = species # 1R3L\n", - " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3L\n", - " self.CL3.append((frag_new, amt))\n", - "\n", - " def pair_CL3s(self):\n", - " '''\n", - " pairs all 3-cutting label fragments with other randomly picked 1-cutting label fragments, creating 2-cutting label fragments\n", - " '''\n", - "\n", - " for species, amount in self.CL3:\n", - " count_of_R_labels = len(re.findall(r'R', species))\n", - " count_of_L_labels = len(re.findall(r'L', species))\n", - " if count_of_R_labels == 2 and count_of_L_labels == 1:\n", - " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1R\n", - " frag2 = species # 2R1L\n", - " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R\n", - " self.Rlist.append((frag_new, amt * 2))\n", - " self.RRLLlist.append(frag_new)\n", - "\n", - " elif count_of_R_labels == 1 and count_of_L_labels == 2:\n", - " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1L\n", - " frag2 = species # 1R2L\n", - " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R\n", - " self.Llist.append((frag_new, amt * 2))\n", - " self.RRLLlist.append(frag_new)\n", - "\n", - " elif count_of_R_labels == 3 and count_of_L_labels == 0:\n", - " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1L\n", - " frag2 = species # 3R\n", - " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R\n", - " self.Rlist.append((frag_new, amt * 2))\n", - " self.RRLLlist.append(frag_new)\n", - "\n", - " # 3L\n", - " elif count_of_R_labels == 0 and count_of_L_labels == 3:\n", - " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n", - " for frag_amt in paired_frag_list:\n", - " frag = frag_amt[0]\n", - " amt = frag_amt[1]\n", - " frag1 = frag # 1R\n", - " frag2 = species # 3L\n", - " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R\n", - " self.Llist.append((frag_new, amt * 2))\n", - " self.RRLLlist.append(frag_new)\n", - "\n", - " def update_lists(self):\n", - " '''\n", - " adds the 1-cuttinglabel fragments remaining after pairing 4- and 3-cutting label fragments to their corresponding list\n", - " '''\n", - " for one_R_frag, amt in self.R1dict.items():\n", - " self.Rlist.append((one_R_frag, amt))\n", - " for one_L_frag, amt in self.L1dict.items():\n", - " self.Llist.append((one_L_frag, amt))\n", - "\n", - " def grind(conc, size):\n", - " '''\n", - " Split fragment concentrations into several repeating concentration units with specified size\n", - " '''\n", - " grinded_conc = []\n", - " for label, c in conc:\n", - " times = int(c / size)\n", - " grinded_conc.extend([(label, size)] * times)\n", - "\n", - " if c - size * times > 0:\n", - " grinded_conc.append((label, c - size * times))\n", - "\n", - " return grinded_conc\n", - "\n", - "\n", - " def grind_endcaps(self, grindsize=1, repeats=1):\n", - " '''\n", - " splits each fragment concentration in to many subconcentrations of a maximum of grindsize\n", - " '''\n", - " print('grinding endcaps to {}'.format(grindsize))\n", - " self.repeats = repeats\n", - " if self.repeats == 1:\n", - " self.grindsize = grindsize\n", - " seed = np.random.randint(0, 100)\n", - " grmoles = FragList.grind(self.Rlist, self.grindsize)\n", - " glmoles = FragList.grind(self.Llist, self.grindsize)\n", - " self.glmoles = FragList.shuffle(glmoles, seed)\n", - " self.grmoles = FragList.shuffle(grmoles, seed+1)\n", - " else:\n", - " print('repeats > 1 not supported')\n", - "\n", - " def pair_endcaps(self):\n", - " '''\n", - " randomly pairs subconcentrations of endcaps and assigns the correct amount for each pair\n", - " 2L and 2R fragments will be paired with 2 1-cuttinglabel fragments\n", - " the remaining fragment subconcentrations are middle pieces\n", - " '''\n", - " matches = FragList.match_concentrations_with_same_sums(self.glmoles,\n", - " self.grmoles,\n", - " rtol=1e-3)\n", - " self.endcaps = []\n", - " self.middles = []\n", - " for match in matches:\n", - " pair = match[0]\n", - " value = match[1]\n", - " if value > 0.0:\n", - " lfrag, rfrag = pair\n", - " if lfrag not in self.RRLLlist:\n", - " if rfrag not in self.RRLLlist:\n", - " self.endcaps.append((pair, value))\n", - " elif rfrag in self.RRLLlist:\n", - " self.endcaps.append(((lfrag, rfrag, lfrag), value/2))\n", - " else:\n", - " raise Error\n", - " elif lfrag in self.RRLLlist:\n", - " if rfrag not in self.RRLLlist:\n", - " self.endcaps.append(((rfrag, lfrag, rfrag), value/2))\n", - " elif rfrag in self.RRLLlist:\n", - " self.middles.append((pair, value/2))\n", - " else:\n", - " raise Error\n", - " else:\n", - " raise Error\n", - "\n", - " def grind_middles(self):\n", - " '''\n", - " grinds the middle 1L1R fragments into subconcentrations\n", - " the same grindsize is used as for the endcaps\n", - " '''\n", - " print('grinding middle pieces to {}'.format(self.grindsize))\n", - " if self.repeats == 1:\n", - " grinded_r_l_moles = FragList.grind(self.RLlist, self.grindsize)\n", - " seed = np.random.randint(0, 100)\n", - " self.middles = self.middles + \\\n", - " FragList.shuffle(grinded_r_l_moles, seed)\n", - " else:\n", - " print('repeats > 1 not supported')\n", - "\n", - " def distribute_middles(self):\n", - " '''\n", - " loop through the middle pieces\n", - " randomly pick an endcap pair to add to\n", - " repeat until no more middle pieces \n", - " '''\n", - " import random\n", - " sys.setrecursionlimit(15000)\n", - " r_l_frag_distri_amt = [0 for i in range(len(self.endcaps))]\n", - " r_l_frag_distri_dict = [{} for i in range(len(self.endcaps))]\n", - " for i, r_l_tup in enumerate(self.middles):\n", - " r_l_frag = r_l_tup[0]\n", - " r_l_frag_amount = r_l_tup[1]\n", - " rand_idx = random.randrange(len(self.endcaps))\n", - " threshold = 1e-15\n", - " while self.endcaps[rand_idx][1] <= threshold:\n", - " rand_idx = random.randrange(len(self.endcaps))\n", - " r_l_frag_distri_amt[rand_idx] += r_l_frag_amount\n", - " r_l_dict = r_l_frag_distri_dict[rand_idx]\n", - " if r_l_frag in r_l_dict.keys():\n", - " r_l_dict[r_l_frag] += r_l_frag_amount\n", - " else:\n", - " r_l_dict[r_l_frag] = r_l_frag_amount\n", - " matches_random = []\n", - " for i in range(len(self.endcaps)):\n", - " pair = self.endcaps[i]\n", - " if r_l_frag_distri_dict[i].keys():\n", - " r_l_matched = []\n", - " for r_l_frag, amt in r_l_frag_distri_dict[i].items():\n", - " r_l_matched.append((r_l_frag, amt))\n", - " match_list = FragList.match_concentrations_with_different_sums([\n", - " pair], r_l_matched)\n", - " for tups in match_list:\n", - " matches_random.append(tups)\n", - " else: \n", - " matches_random.append(pair)\n", - " flattened_matches_random = [\n", - " (tuple(FragList.flatten(m[0])), m[1]) for m in matches_random]\n", - "\n", - " self.grouped = []\n", - "\n", - " for non_cut_mole, val in self.molesremain:\n", - " self.grouped.append(((non_cut_mole, ), val))\n", - "\n", - " self.grouped.extend(flattened_matches_random)\n", - "\n", - " def get_mwd(self, bins=10, fname='mwd.png'):\n", - " '''\n", - " loop through molecules i.e. grouped fragments\n", - " calculate molecular weight\n", - " create histogram of molecular weights, weighted by molar amount\n", - " store histogram data in histdata\n", - " '''\n", - " self.mwd_amts = [x[1] for x in self.grouped]\n", - " self.mwd_mws = []\n", - " for fraglist, amt in self.grouped:\n", - " mw = sum([Fragment().from_smiles_like_string(\n", - " frag).get_molecular_weight()*1000 for frag in fraglist])\n", - " self.mwd_mws.append(mw)\n", - "\n", - " self.histdata = plt.hist(\n", - " self.mwd_mws, bins=bins, weights=self.mwd_amts)\n", - " plt.xlabel(\"Molecular Weight (g/mol)\")\n", - " plt.ylabel(\"Moles\")\n", - "\n", - " def reattach(self, grindsize = 1):\n", - " '''\n", - " this parent function combines the steps of reattachment into one\n", - " '''\n", - " self.sort() # sort the fragments by number and type of cutting labels\n", - " self.pair_CL4s() # reattach 4-cutting label fragments to make 3-cutting label fragments\n", - " self.pair_CL3s() # reattach 3-cutting label fragments to make 2-cutting label fragments\n", - " self.update_lists() # add 1-cutting label fragments to either Rlist or Llist\n", - " self.grind_endcaps(grindsize=grindsize) # grind the concentrations of fragments into smaller sub-concentrations\n", - " self.pair_endcaps() # pair together 1R and 1L fragments to make endcap pairs\n", - " self.grind_middles() # grind the concentrations of middle LR fragments into smaller sub-concentrations of same size as above\n", - " self.distribute_middles() # randomly select an endcap pair for each middle LR fragment\n", - " return self\n", - "\n" - ] - }, { "cell_type": "markdown", "id": "b310e4f2-7770-45d8-8b67-1dceb2ab85af", @@ -472,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "9d5bd8fb-2a97-487b-8cc2-e1349f5612e1", "metadata": {}, "outputs": [], @@ -500,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "2f9f50fc-eba0-4156-8d87-1ed68294560d", "metadata": {}, "outputs": [], @@ -528,16 +92,24 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "6d69f465-2eff-4549-b9af-9531d77de360", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Initial mole fractions do not sum to one; normalizing.\n" + ] + } + ], "source": [ "job = Cantera(species_list=species_list,\n", " reaction_list=reaction_list, output_directory='temp_detailed')\n", "job.load_model()\n", - "job.generate_conditions(reactorTypeList, reactionTimeList,\n", - " molFracList, Tlist, Plist)\n", + "job.generate_conditions(reactor_type_list=reactorTypeList, reaction_time_list=reactionTimeList,\n", + " mol_frac_list=molFracList, Tlist=Tlist, Plist=Plist)\n", "all_data = job.simulate()" ] }, @@ -551,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "100d1e81-0c4a-499d-bb45-63ed17fc605c", "metadata": {}, "outputs": [], @@ -578,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "2082ed31-adaf-4346-bcd2-9ff09666faed", "metadata": {}, "outputs": [], @@ -617,12 +189,12 @@ "\n", " 10. the `FragList.get_mwd()` function plots the histogram of molecular weights of the reattached molecules generated in the previous steps and saves its data under the property `FragList.histdata`.\n", " \n", - "- Random reattachment will be repeated 10 times with a new random seed each time, which will allow us to examine the repeatability of reattachment.\n" + "- Random reattachment will be repeated 3 times with a new random seed each time, which will allow us to examine the repeatability of reattachment.\n" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "ebe147a1-ad99-4320-8813-45b2141353f8", "metadata": { "tags": [] @@ -632,17 +204,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "grinding endcaps to 0.001\n", - "grinding middle pieces to 0.001\n", - "grinding endcaps to 0.001\n", - "grinding middle pieces to 0.001\n", - "grinding endcaps to 0.001\n", - "grinding middle pieces to 0.001\n" + "grinding endcaps to 0.0009\n", + "grinding middle pieces to 0.0009\n", + "grinding endcaps to 0.0009\n", + "grinding middle pieces to 0.0009\n", + "grinding endcaps to 0.0009\n", + "grinding middle pieces to 0.0009\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -656,8 +228,8 @@ "hdl = []\n", "hdl = []\n", "for i in range(3): \n", - " fl = FragList(frag_list)\n", - " fl.reattach(grindsize=0.001)\n", + " fl = frag.FragList(frag_list)\n", + " fl.reattach(grindsize=0.0009) # more stable if lower; may need to re-run to do successfully. \n", " fl.get_mwd(bins=range(0, 501, 15))\n", " hdl.append(fl.histdata) # save histogram data for repeatability analysis\n", "\n" @@ -676,13 +248,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "id": "83a0e056-66dd-4e79-b4b0-f6b74c518a58", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -708,458 +280,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "c2b46571-b217-4962-9578-631740a17466", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "species mole percent\n", - "C.......................................................................................................24.35%\n", - "C=CC....................................................................................................20.65%\n", - "miscillaneous large molecules............................................................................9.93%\n", - "CCC......................................................................................................1.39%\n", - "C=CC=CC..................................................................................................1.29%\n", - "C=CCCC...................................................................................................1.09%\n", - "C=CCC(C)C=CC.............................................................................................1.06%\n", - "C=C(C)C=CC...............................................................................................0.84%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.77%\n", - "CC=CCC...................................................................................................0.77%\n", - "C=C(C)CCC................................................................................................0.76%\n", - "CC=CC(C)CCC..............................................................................................0.74%\n", - "C=CCC(C)CC(C)CC(C)CCC....................................................................................0.71%\n", - "C=CCC(=C)C...............................................................................................0.67%\n", - "C=CCC=C..................................................................................................0.66%\n", - "C=C(C)C...................................................................................................0.6%\n", - "CC=CC(C)C=CC.............................................................................................0.59%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.58%\n", - "CC1=CCCC1................................................................................................0.57%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..................................................................0.55%\n", - "CCCCC....................................................................................................0.52%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................................0.5%\n", - "C=C(C)CC(C)C=CC..........................................................................................0.49%\n", - "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................................0.45%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC............................................................0.45%\n", - "C=CCC(C)CC(C)CC(C)CC(C)C=CC..............................................................................0.44%\n", - "CC=CC(C)C................................................................................................0.44%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................................0.42%\n", - "C=C(C)CC(C)CC(C)CC(C)CCC.................................................................................0.42%\n", - "C=CCC(C)CCC..............................................................................................0.41%\n", - "C=CCC(C)CC(=C)C..........................................................................................0.41%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.4%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CCC................................................................................0.4%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.4%\n", - "CCCC(C)CC(C)CC(C)C.......................................................................................0.39%\n", - "CC1=CC=CC1...............................................................................................0.39%\n", - "C=CCC(C)CC(C)CC(C)C......................................................................................0.38%\n", - "C=C(C)CC(C)CCC...........................................................................................0.38%\n", - "CC=CC(C)CC(C)CC(C)CCC....................................................................................0.38%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................................................0.37%\n", - "CCCC(C)CC(C)CC(C)CCC.....................................................................................0.37%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.................................................................0.36%\n", - "CC=CC(C)CC(C)CC(C)CC(C)C.................................................................................0.35%\n", - "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.35%\n", - "CC=CC(C)CC(C)C=CC........................................................................................0.34%\n", - "C=CCC(C)CC(C)CC(C)C=CC...................................................................................0.34%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.................................................................0.33%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................0.33%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC...................................................0.32%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................................0.32%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.....................................................0.31%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C....................................................................0.29%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(=C)C...........................................................................0.28%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.28%\n", - "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.28%\n", - "CC1=CCC=C1...............................................................................................0.28%\n", - "C=C(C)CC(C)CC(C)CC(C)C=CC................................................................................0.28%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.25%\n", - "C=CCC(C)CC(C)CC(C)CC=C...................................................................................0.25%\n", - "C=CCC(C)CC(C)C=CC........................................................................................0.25%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C............................................................0.24%\n", - "C=CCC(C)CC(C)CC(C)CC(=C)C................................................................................0.24%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.24%\n", - "C=C(C)CC(C)CC(C)C=CC.....................................................................................0.24%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................................................0.24%\n", - "C=C(C)CC(C)C.............................................................................................0.22%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................................................0.22%\n", - "C=CCC(C)C................................................................................................0.22%\n", - "C=C(C)CC(C)CC(C)CC(C)C...................................................................................0.21%\n", - "C=CCC(C)CC(C)CC(C)CC(C)C.................................................................................0.21%\n", - "C=CCC(C)CC=C.............................................................................................0.21%\n", - "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................0.21%\n", - "C=C(C)CC(=C)C............................................................................................0.21%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.2%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................0.2%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.............................................0.19%\n", - "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.............................................................0.19%\n", - "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.19%\n", - 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"C=CC=CCCC=C...............................................................................................0.0%\n", - "C=CCCC1=CC=CC1............................................................................................0.0%\n" - ] - } - ], + "outputs": [], "source": [ "results_dictionary = {}\n", "for fraglist, amt in fl.grouped:\n", @@ -1167,7 +291,7 @@ " if len(fraglist) == 1:\n", " new = fraglist[0].smiles\n", " elif len(fraglist) < 6:\n", - " new = FragList.merge_frag_list(fraglist)[0].smiles\n", + " new = frag.merge_frag_list(fraglist)[0].smiles\n", " else:\n", " new = 'miscillaneous large molecules'\n", " if new in results_dictionary.keys():\n", @@ -1185,7 +309,7 @@ ], "metadata": { "kernelspec": { - "display_name": "rmg_noj", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1199,7 +323,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.12" + "version": "3.9.23" } }, "nbformat": 4, diff --git a/rmgpy/molecule/fragment_utils.py b/rmgpy/molecule/fragment_utils.py index 25fe5e5cb56..da8638c6cd6 100644 --- a/rmgpy/molecule/fragment_utils.py +++ b/rmgpy/molecule/fragment_utils.py @@ -1,11 +1,411 @@ -from rmgpy.molecule.fragment import Fragment -from rmgpy.tools.canteramodel import Cantera -from rmgpy.chemkin import load_chemkin_file +import random import re import os import numpy as np +import sys import matplotlib.pyplot as plt +from rmgpy.molecule import Bond +from rmgpy.molecule.fragment import Fragment, CuttingLabel +from rmgpy.tools.canteramodel import Cantera +from rmgpy.chemkin import load_chemkin_file + +sys.setrecursionlimit(20000) + +class FragList(): + ''' + to instantiate a FragList: + fl = Fraglist(frag_list) + where frag_list is a list of tuples of fragments and their amounts + ''' + + def __init__(self, frag_list): + self.raw_fragment_output = frag_list + + def sort(self): + ''' + sort a FragList into + general_R_list - 2R fragments + general_L_list - 2L fragments + rr_ll_list - 2R or 2L fragments + r_l_moles - 1R and 1L fragments + multi_label_frag_3 - fragments with 3 cutting labels + multi_label_frag_4 - fragments with 4 cutting labels + + note: in our experience fragments with more than 4 cutting labels has never happened, but a warning will be printed if it does happen + ''' + moles_remain = [] + one_R_dict = {} + one_L_dict = {} + general_R_list = [] + general_L_list = [] + rr_ll_list = [] + r_l_moles = [] + multi_label_frag_3 = [] + multi_label_frag_4 = [] + + for i, item in enumerate(self.raw_fragment_output): + frag, amt = item + if amt > 1e-6 and '[' not in frag: + count_of_L_labels = len(re.findall(r'L', frag)) + count_of_R_labels = len(re.findall(r'R', frag)) + count_of_cutting_labels = count_of_L_labels + count_of_R_labels + if count_of_R_labels == 0 and count_of_L_labels == 0: + moles_remain.append((frag, amt)) + elif count_of_R_labels == 1 and count_of_L_labels == 0: + one_R_dict[frag] = amt + elif count_of_R_labels == 2 and count_of_L_labels == 0: + general_R_list.append((frag, amt * 2)) + rr_ll_list.append(frag) + elif count_of_R_labels == 0 and count_of_L_labels == 1: + one_L_dict[frag] = amt + elif count_of_R_labels == 0 and count_of_L_labels == 2: + general_L_list.append((frag, amt * 2)) + rr_ll_list.append(frag) + elif count_of_R_labels == 1 and count_of_L_labels == 1: + r_l_moles.append((frag, amt)) + else: + if count_of_cutting_labels == 3: + multi_label_frag_3.append( + (frag, amt)) # 2R1L, 1R2L, 3R, 3L + elif count_of_cutting_labels == 4: + multi_label_frag_4.append((frag, amt)) + else: + print( + f"Warning! {count_of_cutting_labels} cutting labels in {frag}") + self.R1dict=one_R_dict + self.L1dict=one_L_dict + self.Rlist=general_R_list + self.Llist=general_L_list + self.RRLLlist=rr_ll_list + self.RLlist=r_l_moles + self.CL3=multi_label_frag_3 + self.CL4=multi_label_frag_4 + self.molesremain=moles_remain + + def random_pick_frag(target_dict): + ''' + argument(s): target_dict - dictionary where key = species smiles (fragment or molecule), value = moles + returns: tuple of randomly picked (fragment with 1 cutting label, moles) + + choice is weighted by mole fraction of each fragment + ''' + frag_dict_list=[x for x in target_dict.items() if len( + re.findall(r'[LR]', x[0])) == 1] + sum_dict=sum([x[1] for x in frag_dict_list]) + frag_dict_prob=[x[1] / sum_dict for x in frag_dict_list] + item=np.random.choice(frag_dict_list, 1, p = frag_dict_prob) + + return item + + def pair_frag(amount, target_dict): + ''' + argument(s): amount - maximum amount of fragments in one pair + target_dict - dictionary of species smiles and moles + returns: the target_dict with 1 randomly chosen 1-cutting label fragment fully paired with other randomly chosen 1-cutting label fragments + ''' + additional_frag_list=[] + frag1=FragList.random_pick_frag(target_dict) + + if target_dict[frag1] >= amount: + target_dict[frag1] -= amount + additional_frag_list.append((frag1, amount)) + + else: + remain=amount - target_dict[frag1] + additional_frag_list.append((frag1, amount)) + target_dict[frag1]=0 + + while remain > 0: + frag1=FragList.random_pick_frag(target_dict) + + if target_dict[frag1] >= remain: + target_dict[frag1] -= remain + additional_frag_list.append((frag1, remain)) + remain=0 + + else: + frag_amt=target_dict[frag1] + target_dict[frag1]=0 + additional_frag_list.append((frag1, frag_amt)) + remain=remain - frag_amt + return additional_frag_list + + def pair_CL4s(self): + ''' + pairs all 4-cutting label fragments with other randomly picked 1-cutting label fragments, creating 3-cutting label fragments + ''' + + for species, amount in self.CL4: # 4R, 3R1L, 2R2L, 1R3L, 4L + ount_of_R_labels=len(re.findall(r'R', species)) + count_of_L_labels=len(re.findall(r'L', species)) + if count_of_R_labels == 4 and count_of_L_labels == 0: + paired_frag_list=FragList.pair_frag(amount, self.L1dict) + for frag_amt in paired_frag_list: + frag=frag_amt[0] + amt=frag_amt[1] + frag1=frag # 1L + frag2=species # 4R + frag_new=merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3 + self.CL3.append((frag_new, amt)) + + elif count_of_R_labels == 0 and count_of_L_labels == 4: + paired_frag_list = FragList.pair_frag(amount, self.R1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1R + frag2 = species # 4L + frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3L + self.CL3.append((frag_new, amt)) + + elif count_of_R_labels == 2 and count_of_L_labels == 2: + paired_frag_list = FragList.pair_frag(amount, self.L1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1L + frag2 = species # 2R2L + frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 1R2L + self.CL3.append((frag_new, amt)) + + elif count_of_R_labels == 3 and count_of_L_labels == 1: + paired_frag_list = FragList.pair_frag(amount, self.R1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1R + frag2 = species # 3R1L + frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3R + self.CL3.append((frag_new, amt)) + + elif count_of_R_labels == 1 and count_of_L_labels == 3: + paired_frag_list = FragList.pair_frag(amount, self.L1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1L + frag2 = species # 1R3L + frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3L + self.CL3.append((frag_new, amt)) + + def pair_CL3s(self): + ''' + pairs all 3-cutting label fragments with other randomly picked 1-cutting label fragments, creating 2-cutting label fragments + ''' + + for species, amount in self.CL3: + count_of_R_labels = len(re.findall(r'R', species)) + count_of_L_labels = len(re.findall(r'L', species)) + if count_of_R_labels == 2 and count_of_L_labels == 1: + paired_frag_list = FragList.pair_frag(amount, self.R1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1R + frag2 = species # 2R1L + frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R + self.Rlist.append((frag_new, amt * 2)) + self.RRLLlist.append(frag_new) + + elif count_of_R_labels == 1 and count_of_L_labels == 2: + paired_frag_list = FragList.pair_frag(amount, self.L1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1L + frag2 = species # 1R2L + frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R + self.Llist.append((frag_new, amt * 2)) + self.RRLLlist.append(frag_new) + + elif count_of_R_labels == 3 and count_of_L_labels == 0: + paired_frag_list = FragList.pair_frag(amount, self.L1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1L + frag2 = species # 3R + frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R + self.Rlist.append((frag_new, amt * 2)) + self.RRLLlist.append(frag_new) + + # 3L + elif count_of_R_labels == 0 and count_of_L_labels == 3: + paired_frag_list = FragList.pair_frag(amount, self.R1dict) + for frag_amt in paired_frag_list: + frag = frag_amt[0] + amt = frag_amt[1] + frag1 = frag # 1R + frag2 = species # 3L + frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R + self.Llist.append((frag_new, amt * 2)) + self.RRLLlist.append(frag_new) + + def update_lists(self): + ''' + adds the 1-cuttinglabel fragments remaining after pairing 4- and 3-cutting label fragments to their corresponding list + ''' + for one_R_frag, amt in self.R1dict.items(): + self.Rlist.append((one_R_frag, amt)) + for one_L_frag, amt in self.L1dict.items(): + self.Llist.append((one_L_frag, amt)) + + def grind(conc, size): + ''' + Split fragment concentrations into several repeating concentration units with specified size + ''' + grinded_conc = [] + for label, c in conc: + times = int(c / size) + grinded_conc.extend([(label, size)] * times) + + if c - size * times > 0: + grinded_conc.append((label, c - size * times)) + + return grinded_conc + + + def grind_endcaps(self, grindsize=1, repeats=1): + ''' + splits each fragment concentration in to many subconcentrations of a maximum of grindsize + ''' + print('grinding endcaps to {}'.format(grindsize)) + self.repeats = repeats + if self.repeats == 1: + self.grindsize = grindsize + seed = np.random.randint(0, 100) + grmoles = FragList.grind(self.Rlist, self.grindsize) + glmoles = FragList.grind(self.Llist, self.grindsize) + self.glmoles = shuffle(glmoles, seed) + self.grmoles = shuffle(grmoles, seed+1) + else: + print('repeats > 1 not supported') + + def pair_endcaps(self): + ''' + randomly pairs subconcentrations of endcaps and assigns the correct amount for each pair + 2L and 2R fragments will be paired with 2 1-cuttinglabel fragments + the remaining fragment subconcentrations are middle pieces + ''' + matches = match_concentrations_with_same_sums(self.glmoles, + self.grmoles, + rtol=1e-3) + self.endcaps = [] + self.middles = [] + for match in matches: + pair = match[0] + value = match[1] + if value > 0.0: + lfrag, rfrag = pair + if lfrag not in self.RRLLlist: + if rfrag not in self.RRLLlist: + self.endcaps.append((pair, value)) + elif rfrag in self.RRLLlist: + self.endcaps.append(((lfrag, rfrag, lfrag), value/2)) + else: + raise Error + elif lfrag in self.RRLLlist: + if rfrag not in self.RRLLlist: + self.endcaps.append(((rfrag, lfrag, rfrag), value/2)) + elif rfrag in self.RRLLlist: + self.middles.append((pair, value/2)) + else: + raise Error + else: + raise Error + + def grind_middles(self): + ''' + grinds the middle 1L1R fragments into subconcentrations + the same grindsize is used as for the endcaps + ''' + print('grinding middle pieces to {}'.format(self.grindsize)) + if self.repeats == 1: + grinded_r_l_moles = FragList.grind(self.RLlist, self.grindsize) + seed = np.random.randint(0, 100) + self.middles = self.middles + \ + shuffle(grinded_r_l_moles, seed) + else: + print('repeats > 1 not supported') + + def distribute_middles(self): + ''' + loop through the middle pieces + randomly pick an endcap pair to add to + repeat until no more middle pieces + ''' + + r_l_frag_distri_amt = [0 for i in range(len(self.endcaps))] + r_l_frag_distri_dict = [{} for i in range(len(self.endcaps))] + for i, r_l_tup in enumerate(self.middles): + r_l_frag = r_l_tup[0] + r_l_frag_amount = r_l_tup[1] + rand_idx = random.randrange(len(self.endcaps)) + threshold = 1e-15 + while self.endcaps[rand_idx][1] <= threshold: + rand_idx = random.randrange(len(self.endcaps)) + r_l_frag_distri_amt[rand_idx] += r_l_frag_amount + r_l_dict = r_l_frag_distri_dict[rand_idx] + if r_l_frag in r_l_dict.keys(): + r_l_dict[r_l_frag] += r_l_frag_amount + else: + r_l_dict[r_l_frag] = r_l_frag_amount + matches_random = [] + for i in range(len(self.endcaps)): + pair = self.endcaps[i] + if r_l_frag_distri_dict[i].keys(): + r_l_matched = [] + for r_l_frag, amt in r_l_frag_distri_dict[i].items(): + r_l_matched.append((r_l_frag, amt)) + match_list = match_concentrations_with_different_sums([ + pair], r_l_matched) + for tups in match_list: + matches_random.append(tups) + else: + matches_random.append(pair) + flattened_matches_random = [ + (tuple(flatten(m[0])), m[1]) for m in matches_random] + + self.grouped = [] + + for non_cut_mole, val in self.molesremain: + self.grouped.append(((non_cut_mole, ), val)) + + self.grouped.extend(flattened_matches_random) + + def get_mwd(self, bins=10, fname='mwd.png'): + ''' + loop through molecules i.e. grouped fragments + calculate molecular weight + create histogram of molecular weights, weighted by molar amount + store histogram data in histdata + ''' + self.mwd_amts = [x[1] for x in self.grouped] + self.mwd_mws = [] + for fraglist, amt in self.grouped: + mw = sum([Fragment().from_smiles_like_string( + frag).get_molecular_weight()*1000 for frag in fraglist]) + self.mwd_mws.append(mw) + + self.histdata = plt.hist( + self.mwd_mws, bins=bins, weights=self.mwd_amts) + plt.xlabel("Molecular Weight (g/mol)") + plt.ylabel("Moles") + + def reattach(self, grindsize = 1): + ''' + this parent function combines the steps of reattachment into one + ''' + self.sort() # sort the fragments by number and type of cutting labels + self.pair_CL4s() # reattach 4-cutting label fragments to make 3-cutting label fragments + self.pair_CL3s() # reattach 3-cutting label fragments to make 2-cutting label fragments + self.update_lists() # add 1-cutting label fragments to either Rlist or Llist + self.grind_endcaps(grindsize=grindsize) # grind the concentrations of fragments into smaller sub-concentrations + self.pair_endcaps() # pair together 1R and 1L fragments to make endcap pairs + self.grind_middles() # grind the concentrations of middle LR fragments into smaller sub-concentrations of same size as above + self.distribute_middles() # randomly select an endcap pair for each middle LR fragment + return self def match_sequences(seq1, seq2, rtol=1e-6): ''' @@ -98,7 +498,7 @@ def match_concentrations_with_same_sums(conc1, conc2, rtol=1e-6): seq1 = [tup[1] for tup in conc1] seq2 = [tup[1] for tup in conc2] - matches_seq = FragList.match_sequences(seq1, seq2, rtol) + matches_seq = match_sequences(seq1, seq2, rtol) matches_conc = [] for match_seq in matches_seq: @@ -184,7 +584,7 @@ def match_concentrations_with_different_sums(conc1, conc2): # let matches_conc match with remaining seq2 elif pin1 == len(seq1) and pin2 < len(seq2): remain_conc2 = [(labels2[pin2], val2)] + conc2[(pin2 + 1):] - matches_conc = FragList.match_concentrations_with_different_sums( + matches_conc = match_concentrations_with_different_sums( matches_conc, remain_conc2 ) @@ -216,7 +616,7 @@ def flatten(combo): return_list = [] for i in combo: if isinstance(i, tuple): - return_list.extend(FragList.flatten(i)) + return_list.extend(flatten(i)) else: return_list.append(i) return return_list @@ -224,8 +624,6 @@ def flatten(combo): # label should match the desired merging l/'abel on frag2 def merge_frag_to_frag(frag1, frag2, label): - from rmgpy.molecule import Bond - from rmgpy.molecule.fragment import Fragment, CuttingLabel frag_spe1 = Fragment().from_smiles_like_string(frag1) frag_spe2 = Fragment().from_smiles_like_string(frag2) @@ -264,7 +662,6 @@ def merge_frag_to_frag(frag1, frag2, label): def merge_frag_list(to_be_merged): - import os # merges fragments in list from right to left species_list = [] ethylene = [] @@ -278,10 +675,10 @@ def merge_frag_list(to_be_merged): frag2 = to_be_merged[-1].smiles # last fragment in list if 'R' in frag1 and 'L' in frag2: - newfrag = FragList.merge_frag_to_frag(frag1, frag2, 'L') + newfrag = merge_frag_to_frag(frag1, frag2, 'L') elif 'L' in frag1 and 'R' in frag2: - newfrag = FragList.merge_frag_to_frag(frag1, frag2, 'R') + newfrag = merge_frag_to_frag(frag1, frag2, 'R') # warn user if last two fragments in list cannot be merged (no R/L # combo to be made) @@ -290,7 +687,7 @@ def merge_frag_list(to_be_merged): frag1, frag2)) if 'L' in frag1 and 'L' in frag2: - newfrag = FragList.merge_frag_to_frag( + newfrag = merge_frag_to_frag( frag1.replace('L', 'R'), frag2, 'L') if len(to_be_merged) > 2: cut = len(to_be_merged) - 2 @@ -308,5 +705,4 @@ def merge_frag_list(to_be_merged): # structure to list of smiles structures # print('{}% of fragments fully merged...'.format(np.round(100*(i+1)/len(flattened_matches_random)),1)) -# print(newfraglist) return newfraglist From 5a537204dfd7b9e9c57a8bb3ea4389347e96ac7f Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Wed, 9 Jul 2025 20:29:43 -0400 Subject: [PATCH 334/700] keep full fragment reattachment example output --- ipython/fragment_reattachment_example.ipynb | 473 +++++++++++++++++++- 1 file changed, 466 insertions(+), 7 deletions(-) diff --git a/ipython/fragment_reattachment_example.ipynb b/ipython/fragment_reattachment_example.ipynb index 6267985844a..8d7b0c6cda2 100644 --- a/ipython/fragment_reattachment_example.ipynb +++ b/ipython/fragment_reattachment_example.ipynb @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "id": "ebe147a1-ad99-4320-8813-45b2141353f8", "metadata": { "tags": [] @@ -214,7 +214,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -248,13 +248,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 8, "id": "83a0e056-66dd-4e79-b4b0-f6b74c518a58", "metadata": {}, "outputs": [ { "data": { - "image/png": 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tCwCAcOnq+7ejwzStra2qrq5WTk5OUHtOTo52797d4ZitW7cqMzNTf/jDH3TJJZdoxIgRevTRR/XVV191uh+/3y+fzxe0AQCAnsnRYZrm5ma1tbUpMTExqD0xMVGNjY0djjl06JDefPNNxcfH6+WXX1Zzc7Meeughff75552eN1JSUqLFixc7KQ0AAESpkE5gdblcQY+NMe3azjh9+rRcLpfWr1+v66+/XrfddpuWLl2qtWvXdro6UlxcLK/XG9jq6+tDKRMAAEQBRysjgwcPVkxMTLtVkKampnarJWckJyfrkksukcfjCbSNHDlSxhh98sknuvLKK9uNcbvdcrvdTkoDAABRytHKSFxcnDIyMlRRURHUXlFRobFjx3Y45sYbb9SxY8d04sSJQNu///1v9enTR0OHDg2hZAAA0JM4PkxTVFSklStXavXq1Tpw4IDmzp2ruro6FRYWSvr2EEtBQUGg/9SpUzVo0CDdd9992r9/vyorK/XYY4/p/vvvV79+/cL3SgAAQFRyfJ+R/Px8HT9+XEuWLFFDQ4PS09NVXl6u4cOHS5IaGhpUV1cX6H/BBReooqJCDz/8sDIzMzVo0CBNmTJFTzzxRPheBQAAiFqO7zNiA/cZidy+AAAIl265zwgAAEC4EUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgVUhhpLS0VGlpaYqPj1dGRoZ27drVpXFvvfWWYmNjde2114ayWwAA0AM5DiNlZWWaM2eOFixYoJqaGmVnZysvL091dXXfO87r9aqgoEDjx48PuVgAANDzOA4jS5cu1fTp0/XAAw9o5MiRWrZsmVJTU7VixYrvHffggw9q6tSpysrKCrlYAADQ8zgKI62traqurlZOTk5Qe05Ojnbv3t3puDVr1ujjjz/WwoULQ6sSAAD0WLFOOjc3N6utrU2JiYlB7YmJiWpsbOxwzMGDBzVv3jzt2rVLsbFd253f75ff7w889vl8TsoEAABRJKQTWF0uV9BjY0y7Nklqa2vT1KlTtXjxYo0YMaLLX7+kpEQejyewpaamhlImAACIAo7CyODBgxUTE9NuFaSpqandaokktbS0qKqqSjNnzlRsbKxiY2O1ZMkSvffee4qNjdWOHTs63E9xcbG8Xm9gq6+vd1ImAACIIo4O08TFxSkjI0MVFRW68847A+0VFRW644472vVPSEjQ3r17g9pKS0u1Y8cOvfTSS0pLS+twP263W26320lpAAAgSjkKI5JUVFSke+65R5mZmcrKytILL7yguro6FRYWSvp2VePo0aNat26d+vTpo/T09KDxQ4YMUXx8fLt2AADQOzkOI/n5+Tp+/LiWLFmihoYGpaenq7y8XMOHD5ckNTQ0nPWeIwAAAGe4jDHGdhFn4/P55PF45PV6lZCQYLscSdK2bZHbV25u5PYFAEC4dPX9m8+mAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWxdouAOefY8ecj0lJCX8dAIDegTDSg4USKiSpsdH5GMIIACBUHKYBAABWsTLSg4WywgEAQKQRRnqwzz6zXQEAAGfHYRoAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFgVUhgpLS1VWlqa4uPjlZGRoV27dnXad/PmzZowYYIuvvhiJSQkKCsrS9u2bQu5YAAA0LM4DiNlZWWaM2eOFixYoJqaGmVnZysvL091dXUd9q+srNSECRNUXl6u6upqjRs3TpMmTVJNTc05Fw8AAKKfyxhjnAwYM2aMRo8erRUrVgTaRo4cqcmTJ6ukpKRLX+Oqq65Sfn6+Hn/88S719/l88ng88nq9SkhIcFJut4nk4k5ubmjjoqFGAEDP1dX371gnX7S1tVXV1dWaN29eUHtOTo52797dpa9x+vRptbS0aODAgZ328fv98vv9gcc+n89JmYgix46FNi4lJbx1AADscXSYprm5WW1tbUpMTAxqT0xMVGNjY5e+xlNPPaWTJ09qypQpnfYpKSmRx+MJbKmpqU7KBAAAUcTRysgZLpcr6LExpl1bRzZs2KBFixbplVde0ZAhQzrtV1xcrKKiosBjn89HIOmhuphh22FlBAB6DkdhZPDgwYqJiWm3CtLU1NRuteS7ysrKNH36dL344ou69dZbv7ev2+2W2+12UhoAAIhSjsJIXFycMjIyVFFRoTvvvDPQXlFRoTvuuKPTcRs2bND999+vDRs2aOLEiaFXix7ns89sVwAAsM3xYZqioiLdc889yszMVFZWll544QXV1dWpsLBQ0reHWI4ePap169ZJ+jaIFBQU6Omnn9YNN9wQWFXp16+fPB5PGF8KAACIRo7DSH5+vo4fP64lS5aooaFB6enpKi8v1/DhwyVJDQ0NQfccef7553Xq1CnNmDFDM2bMCLRPmzZNa9euPfdXAICrkgBEtZBOYH3ooYf00EMPdfjcdwPGG2+8EcouAABAL8Fn0wAAAKtCWhkBcH7hEmkA0YyVEQAAYBVhBAAAWEUYAQAAVnHOCABH9uwJbdzo0eGtI9pxOTbwP6yMAAAAqwgjAADAKg7TAL1YqIcKACCcCCMAYAH3hgH+hzCCqBTKX/Q9+Zc4n34cfaLhe8ZJtogUwgiiUih/VfILEj0BAQE9ESewAgAAq1gZQVSKhiVuoDtE8lwTzmtBpBBGACCKRDKIE/oRKRymAQAAVrEyApxHuO8HgN6IMAJ0E4IFAHQNYQSAI6GeR8AlqQA6wzkjAADAKlZGgG4SymWRSUnhrwOItJ68ChbKawv1EunRo0MbF413qCaMAOeRUH9phSqSl25yz4reoyd/ryP9f7S3IIwAZ8GJqL1HT/6LHvZwv5azI4wAiAh+IfcePfl7HQ2vLRo/u4swApzF3r22K0Ck9OTDC+g9oiEwfRdhBAD+v2j8JQ70BFzaCwAArGJlBGGxbZvtCgAA0YowEgW4mgNwhv8z0SmS98fYsye0cegehJEowAmUgDPcCwKILoQRAOgFomG1KJQ/vEJdGeFk5fMLYQRAj8MbDRBdCCMAcI566qoDECmEEfQa0fCGgejEOSr28P+6ZyCMoNfgDQPoeXryik9vumVCSGGktLRUf/zjH9XQ0KCrrrpKy5YtU3Z2dqf9d+7cqaKiIu3bt08pKSn6zW9+o8LCwpCLBkLBeQTRKRr+8uVnCzg3ju/AWlZWpjlz5mjBggWqqalRdna28vLyVFdX12H/w4cP67bbblN2drZqamo0f/58zZo1S5s2bTrn4gEAQPRzGWOMkwFjxozR6NGjtWLFikDbyJEjNXnyZJWUlLTr/9vf/lZbt27VgQMHAm2FhYV677339Pbbb3dpnz6fTx6PR16vVwkJCU7K7Ta9afkMANCz5eZ2z9ft6vu3o8M0ra2tqq6u1rx584Lac3JytHv37g7HvP3228rJyQlqy83N1apVq/TNN9+ob9++7cb4/X75/f7AY6/XK+nbF3W+OHnSdgUAAIRHd729nnnfPtu6h6Mw0tzcrLa2NiUmJga1JyYmqrGTswMbGxs77H/q1Ck1NzcrOTm53ZiSkhItXry4XXtqaqqTcgEAwHmgpaVFHo+n0+dDOoHV5XIFPTbGtGs7W/+O2s8oLi5WUVFR4PHp06f1+eefa9CgQd+7H6d8Pp9SU1NVX19/3hz+6amY68hiviOHuY4c5jpywjXXxhi1tLQo5Sy3ynUURgYPHqyYmJh2qyBNTU3tVj/OSEpK6rB/bGysBg0a1OEYt9stt9sd1HbhhRc6KdWRhIQEfrAjhLmOLOY7cpjryGGuIyccc/19KyJnOLqaJi4uThkZGaqoqAhqr6io0NixYzsck5WV1a7/9u3blZmZ2eH5IgAAoHdxfGlvUVGRVq5cqdWrV+vAgQOaO3eu6urqAvcNKS4uVkFBQaB/YWGhjhw5oqKiIh04cECrV6/WqlWr9Oijj4bvVQAAgKjl+JyR/Px8HT9+XEuWLFFDQ4PS09NVXl6u4cOHS5IaGhqC7jmSlpam8vJyzZ07V88++6xSUlL0zDPP6K677grfqwiR2+3WwoUL2x0SQvgx15HFfEcOcx05zHXkRHquHd9nBAAAIJwcH6YBAAAIJ8IIAACwijACAACsIowAAACrenUYKS0tVVpamuLj45WRkaFdu3bZLinqVFZWatKkSUpJSZHL5dKWLVuCnjfGaNGiRUpJSVG/fv30s5/9TPv27Qvq4/f79fDDD2vw4MHq37+/fv7zn+uTTz6J4Ks4/5WUlOgnP/mJBgwYoCFDhmjy5Mn68MMPg/ow1+GxYsUKXXPNNYGbPWVlZekf//hH4HnmufuUlJTI5XJpzpw5gTbmO3wWLVokl8sVtCUlJQWetzrXppfauHGj6du3r/nLX/5i9u/fb2bPnm369+9vjhw5Yru0qFJeXm4WLFhgNm3aZCSZl19+Oej5J5980gwYMMBs2rTJ7N271+Tn55vk5GTj8/kCfQoLC80ll1xiKioqzJ49e8y4cePMqFGjzKlTpyL8as5fubm5Zs2aNeaDDz4wtbW1ZuLEiWbYsGHmxIkTgT7MdXhs3brV/P3vfzcffvih+fDDD838+fNN3759zQcffGCMYZ67y7/+9S9z6aWXmmuuucbMnj070M58h8/ChQvNVVddZRoaGgJbU1NT4Hmbc91rw8j1119vCgsLg9p+9KMfmXnz5lmqKPp9N4ycPn3aJCUlmSeffDLQ9vXXXxuPx2Oee+45Y4wxX3zxhenbt6/ZuHFjoM/Ro0dNnz59zGuvvRax2qNNU1OTkWR27txpjGGuu9tFF11kVq5cyTx3k5aWFnPllVeaiooKc/PNNwfCCPMdXgsXLjSjRo3q8Dnbc90rD9O0traqurpaOTk5Qe05OTnavXu3pap6nsOHD6uxsTFont1ut26++ebAPFdXV+ubb74J6pOSkqL09HS+F9/D6/VKkgYOHCiJue4ubW1t2rhxo06ePKmsrCzmuZvMmDFDEydO1K233hrUznyH38GDB5WSkqK0tDTdfffdOnTokCT7cx3Sp/ZGu+bmZrW1tbX7cL/ExMR2H+qH0J2Zy47m+ciRI4E+cXFxuuiii9r14XvRMWOMioqKdNNNNyk9PV0Scx1ue/fuVVZWlr7++mtdcMEFevnll/XjH/848AuXeQ6fjRs3as+ePXr33XfbPcfPdXiNGTNG69at04gRI/Tpp5/qiSee0NixY7Vv3z7rc90rw8gZLpcr6LExpl0bzl0o88z3onMzZ87U+++/rzfffLPdc8x1ePzwhz9UbW2tvvjiC23atEnTpk3Tzp07A88zz+FRX1+v2bNna/v27YqPj++0H/MdHnl5eYF/X3311crKytLll1+uv/71r7rhhhsk2ZvrXnmYZvDgwYqJiWmX5JqamtqlQoTuzFna3zfPSUlJam1t1X//+99O++B/Hn74YW3dulWvv/66hg4dGmhnrsMrLi5OV1xxhTIzM1VSUqJRo0bp6aefZp7DrLq6Wk1NTcrIyFBsbKxiY2O1c+dOPfPMM4qNjQ3MF/PdPfr376+rr75aBw8etP6z3SvDSFxcnDIyMlRRURHUXlFRobFjx1qqqudJS0tTUlJS0Dy3trZq586dgXnOyMhQ3759g/o0NDTogw8+4HvxfxhjNHPmTG3evFk7duxQWlpa0PPMdfcyxsjv9zPPYTZ+/Hjt3btXtbW1gS0zM1O/+tWvVFtbq8suu4z57kZ+v18HDhxQcnKy/Z/tczr9NYqdubR31apVZv/+/WbOnDmmf//+5j//+Y/t0qJKS0uLqampMTU1NUaSWbp0qampqQlcIv3kk08aj8djNm/ebPbu3Wt++ctfdnip2NChQ80///lPs2fPHnPLLbdwWd53/PrXvzYej8e88cYbQZflffnll4E+zHV4FBcXm8rKSnP48GHz/vvvm/nz55s+ffqY7du3G2OY5+72f6+mMYb5DqdHHnnEvPHGG+bQoUPmnXfeMbfffrsZMGBA4H3P5lz32jBijDHPPvusGT58uImLizOjR48OXCaJrnv99deNpHbbtGnTjDHfXi62cOFCk5SUZNxut/npT39q9u7dG/Q1vvrqKzNz5kwzcOBA069fP3P77beburo6C6/m/NXRHEsya9asCfRhrsPj/vvvD/xeuPjii8348eMDQcQY5rm7fTeMMN/hc+a+IX379jUpKSnmF7/4hdm3b1/geZtz7TLGmHNbWwEAAAhdrzxnBAAAnD8IIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKz6f1RHQBUB6lQ6AAAAAElFTkSuQmCC", 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", 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" ] @@ -280,10 +280,469 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "c2b46571-b217-4962-9578-631740a17466", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "species mole percent\n", + "C.......................................................................................................24.35%\n", + "C=CC....................................................................................................20.71%\n", + "miscellaneous large molecules............................................................................8.93%\n", + "CCC......................................................................................................1.53%\n", + "C=CC=CC...................................................................................................1.2%\n", + "C=CCCC...................................................................................................1.11%\n", + "C=C(C)C=CC...............................................................................................0.96%\n", + "C=CCC(C)C=CC..............................................................................................0.8%\n", + "CC=CC(C)CCC..............................................................................................0.73%\n", + "C=CCC(C)CC(C)CC(C)CCC....................................................................................0.73%\n", + "CC=CCC...................................................................................................0.72%\n", + "C=C(C)CCC.................................................................................................0.7%\n", + "C=CCC(=C)C...............................................................................................0.62%\n", + "C=C(C)CC(C)C=CC...........................................................................................0.6%\n", + "C=CCC(C)CC(=C)C...........................................................................................0.6%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.57%\n", + "C=CCC(C)CC(C)CC(C)CC(C)C=CC..............................................................................0.57%\n", + "CC1=CCCC1................................................................................................0.57%\n", + "CCCCC....................................................................................................0.56%\n", + "C=CCC(C)CC(C)CC(C)C=CC...................................................................................0.55%\n", + "C=C(C)C..................................................................................................0.54%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.51%\n", + "CC=CC(C)C.................................................................................................0.5%\n", + "C=C(C)CC(C)CC(C)CC(C)CCC.................................................................................0.48%\n", + "C=CCC(C)CC(C)CC(C)C......................................................................................0.46%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.45%\n", + "CCCC(C)CC(C)CC(C)CCC.....................................................................................0.44%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CCC...............................................................................0.43%\n", + "C=CCC=C..................................................................................................0.43%\n", + "CC=CC(C)CC(C)C=CC........................................................................................0.43%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.43%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..................................................................0.43%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................................0.43%\n", + "C=CCC(C)CC(C)CC(C)CC(=C)C................................................................................0.42%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................................0.41%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.................................................................0.41%\n", + "CC=CC(C)CC(C)CC(C)CC(C)C.................................................................................0.39%\n", + "C=CCC(C)C................................................................................................0.39%\n", + "CC1=CC=CC1...............................................................................................0.39%\n", + "CC=CC(C)CC(C)CC(C)CCC....................................................................................0.38%\n", + "CC=CC(C)C=CC.............................................................................................0.38%\n", + "C=CCC(C)CCC..............................................................................................0.38%\n", + "CCCC(C)CC(C)CC(C)C.......................................................................................0.36%\n", + "C=CCC(C)CC(C)CC(C)CC=C...................................................................................0.36%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................0.35%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................................................0.35%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................................0.34%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC............................................................0.32%\n", + "C=C(C)CC(=C)C............................................................................................0.32%\n", + "C=C(C)CC(C)CCC...........................................................................................0.32%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.32%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.32%\n", + "CC=CC(C)CC(C)CC(C)CC(C)C=CC...............................................................................0.3%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................................0.3%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..................................................................0.3%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.................................................0.3%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(=C)C...........................................................................0.29%\n", + "C=C(C)CC(C)CC(C)C=CC.....................................................................................0.29%\n", + "C=C(C)CC(C)CC(C)CC(C)C=CC................................................................................0.29%\n", + "C=CCC(C)CC(C)C=CC........................................................................................0.28%\n", + "CC1=CCC=C1...............................................................................................0.28%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C............................................................0.27%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.26%\n", + "C=CCC(C)CC(C)CC(C)CC(C)C.................................................................................0.25%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.............................................................0.25%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.....................................................0.25%\n", + "C=C(C)CC(C)C.............................................................................................0.25%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..................................................0.24%\n", + "C=C(C)CC(C)CC(C)CC(C)C...................................................................................0.23%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC...................................................0.23%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.23%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C....................................................................0.23%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................0.23%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CCC............................................................................0.22%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..................................................0.22%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................................0.2%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.2%\n", + "C=CCC(C)CC=C..............................................................................................0.2%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.......................................................................0.2%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC=C..............................................................................0.19%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CCC...............................................................................0.19%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................0.19%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.19%\n", + "C1=CCCC1.................................................................................................0.18%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C...............................................................0.18%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.............................................0.18%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................................................0.18%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................................................0.17%\n", + "C=C(C)CC(C)CC(=C)C.......................................................................................0.17%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.17%\n", + "CCC=C(C)C................................................................................................0.16%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C.....................................................0.16%\n", + "CC=CC(C)CC(C)C...........................................................................................0.16%\n", + "CCCC(C)C.................................................................................................0.16%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.15%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.....................................................0.15%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.15%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C............................................................................0.15%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)C..............................................................................0.15%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.14%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(=C)C.............................................................................0.14%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.......................................................0.14%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.14%\n", + "C=CC=C(C)C...............................................................................................0.14%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.13%\n", + "CC=CC(C)CC(C)CCC.........................................................................................0.13%\n", + "C=C......................................................................................................0.13%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..............................................0.12%\n", + "C1=CCC=C1................................................................................................0.12%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC........................................0.11%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..............................................................0.11%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.11%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.11%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C................................................0.11%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.........................................................................0.1%\n", + "CCCCC(C)CC(C)CC(C)C.......................................................................................0.1%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..............................................................0.1%\n", + "C=CC=CCC(C)CC(C)CC(C)C....................................................................................0.1%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................0.09%\n", + "CCCC(C)CC(C)CC(C)C=C(C)C.................................................................................0.09%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=C(C)C..................................................................0.09%\n", + "CCCC(C)CC(C)CC(C)CCC(C)CC(C)CC(C)C.......................................................................0.09%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................0.09%\n", + "C=CC=CCC(C)CC(C)CC(C)CCC.................................................................................0.08%\n", + "C=CC=CCCC................................................................................................0.08%\n", + "CCC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.08%\n", + "C=CC=CCC(=C)C............................................................................................0.08%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC...........................................................0.08%\n", + "C=CCC(C)CC(C)CC=C........................................................................................0.08%\n", + "C=CCC(C)CC(C)CC(C)CC(C)=CCC..............................................................................0.08%\n", + "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C.................................................................0.08%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CCC..........................................................................0.07%\n", + "CC=CC(C)CC(C)CC(C)C=CC...................................................................................0.07%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.......................................................0.07%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...............................................................0.07%\n", + "CC=CC(C)CC(C)CC(C)CC(C)=CCC..............................................................................0.07%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C................................................0.07%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC...............................................................0.07%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.........................................................0.07%\n", + "CC(C)C...................................................................................................0.07%\n", + "C=CC=CCC(C)CC(C)CC(C)C=CC................................................................................0.07%\n", + "CCC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.07%\n", + "C=CCC(C)CC(C)CC(=C)C.....................................................................................0.07%\n", + "CCC=C(C)CCC..............................................................................................0.06%\n", + "CC=CCC(C)CC(C)CC(C)C.....................................................................................0.06%\n", + "C=CC=CC=CC...............................................................................................0.06%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)C............................................................................0.06%\n", + "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..........................................0.06%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)=CCC...........................................................................0.06%\n", + "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.............................................................0.06%\n", + "C=CC=CCC=C...............................................................................................0.06%\n", + "C=CC=CCC(C)CC(C)CC(C)CC=C................................................................................0.06%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C...............................................0.06%\n", + "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.................................................................0.06%\n", + "C=CCC(C)CC(C)CC(C)C=C(C)C................................................................................0.06%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC..........................................................0.06%\n", + "C=C(C)C=C(C)C............................................................................................0.06%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC...........................................0.06%\n", + "C=CC=CCC(C)CC(C)CC(C)CC(=C)C.............................................................................0.05%\n", + "CCCC(C)CC(C)CC(C)CC(C)C..................................................................................0.05%\n", + "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C..................................................0.05%\n", + "CCC=C(C)CC(C)CC(C)CC(C)CCC...............................................................................0.05%\n", + "CC=CC(C)=CCC.............................................................................................0.05%\n", + "C=C(C)C=CCC(C)CC(C)CC(C)C=CC.............................................................................0.05%\n", + "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..........................................0.05%\n", + "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C=C(C)C......................................................................0.05%\n", + 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"C=CC=CCCC=CCC.............................................................................................0.0%\n", + "CC1=CC(C2C=C(C)CC2)CC1....................................................................................0.0%\n", + "C=CCC(C)CCC(C)CC=C........................................................................................0.0%\n", + "C=CC=CCCC=C...............................................................................................0.0%\n", + "C=CCCC1=CC=CC1............................................................................................0.0%\n" + ] + } + ], "source": [ "results_dictionary = {}\n", "for fraglist, amt in fl.grouped:\n", @@ -293,7 +752,7 @@ " elif len(fraglist) < 6:\n", " new = frag.merge_frag_list(fraglist)[0].smiles\n", " else:\n", - " new = 'miscillaneous large molecules'\n", + " new = 'miscellaneous large molecules'\n", " if new in results_dictionary.keys():\n", " results_dictionary[new] += amt\n", " else:\n", From 77a7a1f6a5b17aa9f9548274ddff905fe87138e6 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Tue, 17 Mar 2026 10:41:21 +0100 Subject: [PATCH 335/700] Fix previous bug with thermo data plotting Previous implementation multiplied list by 418400 length rather than scaling each item by said amount. This caused the plot to show basically the same value plotted a bunch of times because it was stretched out. --- rmgpy/tools/canteramodel.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 825074d9d63..2a261d86663 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -447,8 +447,10 @@ def plot(self, data, top_species=10, top_sensitive_reactions=10, top_sensitive_s num_reactions=top_sensitive_reactions).barplot( os.path.join(self.output_directory, '{0}_{1}_reaction_sensitivity.png'.format(i + 1, species.to_chemkin()))) if self.thermo_SA: + for k in range(len(thermodynamic_sensitivity_data)): + thermodynamic_sensitivity_data[k].data *= 4184000 # convert from J/kmol to kcal/mol ThermoSensitivityPlot(x_var=time, - y_var=thermodynamic_sensitivity_data[j * num_ct_species:(j + 1) * num_ct_species]*4184000, + y_var=thermodynamic_sensitivity_data[j * num_ct_species:(j + 1) * num_ct_species], xlabel='dln(c)/d(H_i) [(kcal/mol)^-1]', num_species=top_sensitive_species).barplot( os.path.join(self.output_directory, '{0}_{1}_thermo_sensitivity.png'.format(i + 1, species.to_chemkin()))) From a87b7698a8f9058bc35ef02a58abcf0f3aa58322 Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 23 Mar 2026 11:45:36 +0100 Subject: [PATCH 336/700] Fix typos in notebooks Addit'l errors were either uncaught or perhaps introduced in previous commits. Thanks @sevyharris for catching these! --- ipython/combustion_model_and_ignition_delay_demo.ipynb | 2 -- .../temperature_dependent_solvation_free_energy.ipynb | 9 --------- 2 files changed, 11 deletions(-) diff --git a/ipython/combustion_model_and_ignition_delay_demo.ipynb b/ipython/combustion_model_and_ignition_delay_demo.ipynb index 96e64a7f79a..35e510da9f8 100644 --- a/ipython/combustion_model_and_ignition_delay_demo.ipynb +++ b/ipython/combustion_model_and_ignition_delay_demo.ipynb @@ -423,8 +423,6 @@ "network.advance(ign_delay_time)\n", "ROP_C = ct.ReactionPathDiagram(gas, 'C')\n", "\n", - "from PIL import Image as PILimg\n", - "ROP1 = plt.subplot(1,1,1)\n", "dot_file = os.path.join(directory, 'cantera', 'rxnpathC.dot')\n", "img_file = os.path.join(directory, 'cantera', 'rxnpathC.png')\n", "ROP_C.title = 'Reaction path diagram following C'\n", diff --git a/ipython/temperature_dependent_solvation_free_energy.ipynb b/ipython/temperature_dependent_solvation_free_energy.ipynb index bfc8cb43846..19cce4bca96 100644 --- a/ipython/temperature_dependent_solvation_free_energy.ipynb +++ b/ipython/temperature_dependent_solvation_free_energy.ipynb @@ -94,15 +94,6 @@ "## Run solvation calculations" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)" - ] - }, { "cell_type": "code", "execution_count": null, From 2a811c0cb5ab0ba03fccd15be45676a09f64397d Mon Sep 17 00:00:00 2001 From: jonwzheng Date: Mon, 23 Mar 2026 11:48:10 +0100 Subject: [PATCH 337/700] Update ckcsvparser float types Previous commit updated np.float to np.float64 This now also updates the generic python 'float' to np.float64 in that same file --- rmgpy/tools/ckcsvparser.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/rmgpy/tools/ckcsvparser.py b/rmgpy/tools/ckcsvparser.py index ea4b24f5ab4..f1db3c312da 100644 --- a/rmgpy/tools/ckcsvparser.py +++ b/rmgpy/tools/ckcsvparser.py @@ -65,7 +65,7 @@ def get_rop_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'sec': 1.0, 'min': 60., 'hr': 3600., 'msec': 1e-3, 'microsec': 1e-6}[units] first_col_dict[header] = content_col continue @@ -77,7 +77,7 @@ def get_rop_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'cm': 1.0, 'mm': 0.1, 'm': 100.}[units] first_col_dict[header] = content_col continue @@ -88,7 +88,7 @@ def get_rop_from_ckcsv(ckcsv_file): species_string = label.split('_ROP_')[0] units = row[1].strip()[1:-1].lower() header = '' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) if tokens[-1] == 'Total': header += species_string + ' ROP ' + tokens[2] \ + ' ' + tokens[-1] + '_(' + units + ')' @@ -126,7 +126,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'sec': 1.0, 'min': 60., 'hr': 3600., 'msec': 1e-3, 'microsec': 1e-6}[units] first_col_dict[header] = content_col continue @@ -138,7 +138,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'cm': 1.0, 'mm': 0.1, 'm': 100.}[units] first_col_dict[header] = content_col continue @@ -162,7 +162,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) first_col_dict[header] = content_col continue @@ -173,7 +173,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): units = row[1].strip()[1:-1].lower() header = tokens[0] + '_(' + units + ')' - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) content_col *= {'bar': 1.0, 'atm': 1.01325}[units] first_col_dict[header] = content_col continue @@ -184,7 +184,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file): if 'Soln' in tokens[-1]: raise Exception("This function only supports ckcsv with one Soln!") species_string = label.split('Mole_fraction_')[1] - content_col = np.array([float(r) for r in row[2:]], float) + content_col = np.array([float(r) for r in row[2:]], np.float64) header = species_string + ' Mole_fraction' if species_string not in spc_conc_dict: spc_conc_dict[species_string] = content_col From 21d3cfa8c3d2d8603a2fcb49eeec56af55b2b232 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 13 Apr 2026 13:25:22 -0400 Subject: [PATCH 338/700] Use smaller model for fragment reattachment example The simulation for the fragment reattachment example is taking way too long (more than a minute per solver step), so this replaces the example mechanism (~400 species ~7000 reactions) with a much smaller example (48 species 257 reactions) that still shows a reasonable distribution of large molecules --- ipython/data/chem_annotated.inp | 63469 ----------------- ipython/data/fragment/chem_annotated.inp | 2584 + ipython/data/fragment/species_dictionary.txt | 952 + ipython/data/species_dictionary.txt | 10168 --- ipython/fragment_reattachment_example.ipynb | 5 +- 5 files changed, 3539 insertions(+), 73639 deletions(-) delete mode 100644 ipython/data/chem_annotated.inp create mode 100644 ipython/data/fragment/chem_annotated.inp create mode 100644 ipython/data/fragment/species_dictionary.txt delete mode 100644 ipython/data/species_dictionary.txt diff --git a/ipython/data/chem_annotated.inp b/ipython/data/chem_annotated.inp deleted file mode 100644 index 6ca38f88240..00000000000 --- a/ipython/data/chem_annotated.inp +++ /dev/null @@ -1,63469 +0,0 @@ -ELEMENTS - H - D /2.014/ - T /3.016/ - C - CI /13.003/ - O - OI /17.999/ - N - Ne - Ar - He - Si - S - F - Cl - Br - I - X /195.083/ -END - -SPECIES - Ar ! Ar - He ! He - Ne ! Ne - N2 ! N2 - RC10L(1) ! RC10L(1) - RC10(2) ! RC10(2) - LC10(3) ! LC10(3) - [CH2]C(C)L(4) ! [CH2]C(C)L(4) - C[CH]CC(C)CR(5) ! C[CH]CC(C)CR(5) - [CH2]C(C)CR(6) ! [CH2]C(C)CR(6) - C[CH]CC(C)L(7) ! C[CH]CC(C)L(7) - C[CH]L(8) ! C[CH]L(8) - C7H14R(9) ! [CH2]C(C)CC(C)CR(9) - C[CH]CR(10) ! C[CH]CR(10) - C6H12L(11) ! [CH2]C(C)CC(C)L(11) - C3H5R(12) ! C=CCR(12) - CC(C)L(13) ! CC(C)L(13) - [CH2]R(14) ! [CH2]R(14) - C8H16L(15) ! C[CH]CC(C)CC(C)L(15) - CCCC(C)L(16) ! CCCC(C)L(16) - C6H11R(17) ! C=CCC(C)CR(17) - C3H6(18) ! C=CC(18) - C2H3L(19) ! C=CL(19) - CC(C)CR(20) ! CC(C)CR(20) - C8H15L(21) ! C=CCC(C)CC(C)L(21) - CR(22) ! CR(22) - CC(C)CC(C)CR(23) ! CC(C)CC(C)CR(23) - C5H9L(24) ! C=CCC(C)L(24) - CC(C)CC(C)L(25) ! CC(C)CC(C)L(25) - CCL(26) ! CCL(26) - CCCR(27) ! CCCR(27) - C7H14LR(28) ! CC(L)CCC(C)CR(28) - C10H20LR(29) ! CC(L)CCC(C)CC(C)CR(29) - C9H18L2(30) ! CC(L)CCC(C)CC(C)L(30) - CC(L)CCR(31) ! CC(L)CCR(31) - CCCC(C)CR(32) ! CCCC(C)CR(32) - C8H16L2(33) ! CC(L)CC(C)CC(C)L(33) - CC(CR)CCR(34) ! CC(CR)CCR(34) - CC(L)CC(C)L(35) ! CC(L)CC(C)L(35) - C8H16R2(36) ! CC(CR)CC(C)CCR(36) - CC(L)CC(C)CR(37) ! CC(L)CC(C)CR(37) - C7H14LR(38) ! CC(L)CC(C)CCR(38) - C9H18R2(39) ! CC(CR)CC(C)C(C)CR(39) - C7H14R2(40) ! CC(CR)CC(C)CR(40) - CC(L)CR(41) ! CC(L)CR(41) - CC(CR)CR(42) ! CC(CR)CR(42) - C8H16LR(43) ! CC(CR)CC(C)C(C)L(43) - C8H16LR(44) ! CC(L)CC(C)C(C)CR(44) - CC(L)CCC(C)L(45) ! CC(L)CCC(C)L(45) - C7H14L2(46) ! CC(L)CC(C)C(C)L(46) - CC(L)C(C)CR(47) ! CC(L)C(C)CR(47) - C10H20R2(48) ! CC(CR)CC(C)CC(C)CR(48) - C8H17L(49) ! CCCC(C)CC(C)L(49) - C11H22L2(50) ! CC(L)CC(C)CC(C)CC(C)L(50) - CC(L)C(C)L(51) ! CC(L)C(C)L(51) - CC(CR)C(C)CR(52) ! CC(CR)C(C)CR(52) - C10H20L2(53) ! CC(L)CC(C)CC(C)C(C)L(53) - C11H22LR(54) ! CC(L)CC(C)CC(C)C(C)CR(54) - RCCR(55) ! RCCR(55) - C6H11R(56) ! CC=CC(C)CR(56) - C5H9L(57) ! CC=CC(C)L(57) - C3H5R(58) ! CC=CR(58) - C3H5L(59) ! C=C(C)L(59) - C4H7R(60) ! C=C(C)CR(60) - C8H15L(61) ! CC=CC(C)CC(C)L(61) - C7H13R(62) ! C=C(C)CC(C)CR(62) - C6H11L(63) ! C=C(C)CC(C)L(63) - C10H20R(64) ! CC(C)CC(C)CC(C)[CH]R(64) - C9H17LR(65) ! C[C](CC(C)L)CC(C)CR(65) - C9H17LR(66) ! CC(L)CC(C)[CH]C(C)CR(66) - C9H17LR(67) ! CC(L)CC(C)CC(C)[CH]R(67) - C9H17LR(68) ! CC(L)[CH]C(C)CC(C)CR(68) - C9H17LR(69) ! C[C](CR)CC(C)CC(C)L(69) - C9H17LR(70) ! [CH2]C(L)CC(C)CC(C)CR(70) - C9H17LR(71) ! [CH2]C(CR)CC(C)CC(C)L(71) - C9H17LR(72) ! C[C](L)CC(C)CC(C)CR(72) - C9H17LR(73) ! [CH2]C(CC(C)L)CC(C)CR(73) - CH3(74) ! CH3(74) - C(75) ! C(75) - C10H20L(76) ! CC(C)CC(C)CC(C)[CH]L(76) - C5H8L(77) ! CC=C[C](C)L(77) - C3H4R(78) ! C=C[CH]R(78) - C4H6R(79) ! C=C(C)[CH]R(79) - C[C]1CC1R(80) ! C[C]1CC1R(80) - C4H7R(81) ! CC(C)=CR(81) - H(82) ! H(82) - [H][H](83) ! [H][H](83) - C5H9L(84) ! CCC=C(C)L(84) - C7H15(85) ! [CH2]C(C)CC(C)C(85) - C3H5L(86) ! CC=CL(86) - CC(C)CC(C)C(87) ! CC(C)CC(C)C(87) - RC1[CH]C1(88) ! RC1[CH]C1(88) - C5H8L(89) ! C=C[CH]C(C)L(89) - C6H10R(90) ! CC=C[C](C)CR(90) - C4H5L(91) ! C=CC=CL(91) - C6H9L2(92) ! CC(L)C[CH]C=CL(92) - C[CH]CC(93) ! C[CH]CC(93) - C[CH]C(94) ! C[CH]C(94) - CCC(95) ! CCC(95) - C5H8L(96) ! CC[CH]C=CL(96) - C7H11LR(97) ! CC(CR)C[CH]C=CL(97) - C6H11R(98) ! CCC=C(C)CR(98) - C6H9LR(99) ! C[C](L)CCC=CR(99) - C7H9LR(100) ! LC=C[CH]CCC=CR(100) - CC(L)C[CH]L(101) ! CC(L)C[CH]L(101) - C3H5(102) ! [CH2]C=C(102) - C6H10L(103) ! C=C(C)[CH]C(C)L(103) - C5H7L(104) ! C=C(C)C=CL(104) - C6H9R(105) ! C=CCCC=CR(105) - C7H11L2(106) ! C[C](C=CL)CC(C)L(106) - C6H11L(107) ! CC(C)=CC(C)L(107) - C7H12R(108) ! C=C(C)[CH]C(C)CR(108) - C7H12R(109) ! C[C]1CC1C(C)CR(109) - C6H10(110) ! C=C(C)C=CC(110) - C6H9R(111) ! C=CCC(R)C=C(111) - C8H14L(112) ! CC=C[C](C)CC(C)L(112) - C6H9(113) ! [CH2]C=CC(=C)C(113) - C6H9(114) ! C[C]1C=CCC1(114) - C12H18(115) ! CC1=CC(C2(C)C=CCC2)CC1(115) - C6H10(116) ! CC1=CCCC1(116) - C12H18(117) ! CC1=CC(C2C=C(C)CC2)CC1(117) - C6H8(118) ! CC1=CC=CC1(118) - C10H14L(119) ! C=CC=C(C)CC[CH]C=CL(119) - C7H13R(120) ! CC(C)=CC(C)CR(120) - C10H14L(121) ! C=C(C)C=CCC[CH]C=CL(121) - C9H14L(122) ! C=CC=C(C)CC[C](C)L(122) - C6H7(123) ! CC1=CC=C[CH]1(123) - C5H9LR(124) ! CC(CR)C[CH]L(124) - C6H8(125) ! CC1=CCC=C1(125) - C7H11(126) ! C[C]1C=CCC1C(126) - C7H11(127) ! [CH2]C=CC(C)=CC(127) - C8H13LR(128) ! C[C](C=CL)CC(C)CR(128) - C8H11LR(129) ! C[C](C=CL)CCC=CR(129) - C7H10L(130) ! C=CCC[CH]C=CL(130) - C6H10L(131) ! CC[C](C)C=CL(131) - C9H14L(132) ! C=C(C)C=CCC[C](C)L(132) - C6H8R2(133) ! C=CC(R)CC=CR(133) - C8H11LR(134) ! CC(=CR)CC[CH]C=CL(134) - C11H16L(135) ! C=CC=C(C)CC[C](C)C=CL(135) - C11H16L(136) ! C=C(C)C=CCC[C](C)C=CL(136) - C10H16R(137) ! C=CC=C(C)CC[C](C)CR(137) - C5H9LR(138) ! CC(L)C[CH]CR(138) - C6H10L(139) ! C=CCC[C](C)L(139) - C10H16R(140) ! C=C(C)C=CCC[C](C)CR(140) - C8H12L(141) ! C=CCC[C](C)C=CL(141) - C9H13LR(142) ! C[C](C=CL)CCC(C)=CR(142) - C7H11LR(143) ! C[C](L)CCC(C)=CR(143) - C6H9LR(144) ! CC1(L)CCC1[CH]R(144) - C6H9L2(145) ! C=C[CH]C(L)C(C)L(145) - C7H11R2(146) ! C[C](CR)CCC=CR(146) - C3H4L(147) ! [CH2]C(=C)L(147) - C7H9LR(148) ! LC=CC1CC[CH]C1R(148) - L[C]1CC1(149) ! L[C]1CC1(149) - C7H9LR(150) ! LC1[CH]C2CCC1C2R(150) - C7H9LR(151) ! R[CH]C1CCC=CC1L(151) - C7H9L2(152) ! C=C(L)CC[CH]C=CL(152) - C7H12R(153) ! C=CCC[C](C)CR(153) - C7H9LR(154) ! LC1C2[CH]CCC1C2R(154) - CC[C](C)L(155) ! CC[C](C)L(155) - C4H7(156) ! [CH2]C(=C)C(156) - C4H8(157) ! C=C(C)C(157) - C[C]1CC1(158) ! C[C]1CC1(158) - C9H15(159) ! C[CH]CC1C=C(C)CC1(159) - C6H9(160) ! CC1=CCC[CH]1(160) - C6H9(161) ! [CH2]C=C(C)C=C(161) - C8H11L2(162) ! C=C(L)CC[C](C)C=CL(162) - C6H10(163) ! C=CCCC=C(163) - C8H12L(164) ! C=C(C)CC[CH]C=CL(164) - C6H8R2(165) ! RC=CCCC=CR(165) - C9H14L(166) ! C=CC(C)=CCC[C](C)L(166) - C10H14L(167) ! C=CC(C)=CCC[CH]C=CL(167) - C11H16L(168) ! C=CC(C)=CCC[C](C)C=CL(168) - C6H10L(169) ! C[C](L)C=C(C)C(169) - C6H9L2(170) ! C=C(L)CC[C](C)L(170) - C6H10R(171) ! C=C[CH]C(C)CR(171) - C7H11LR(172) ! CC1(L)CCC1(C)[CH]R(172) - C5H8(173) ! C=CC=CC(173) - C5H7(174) ! [CH2]C=CC=C(174) - C9H12L(175) ! C=CC=CCC[CH]C=CL(175) - C8H12L(176) ! C=CC=CCC[C](C)L(176) - C9H14R(177) ! C=CC=CCC[C](C)CR(177) - C5H7(178) ! [CH]1C=CCC1(178) - C10H14(179) ! C=CC=CCC1C=CCC1(179) - C5H8(180) ! C1=CCCC1(180) - C11H17(181) ! C=CC=CCC[C](C)C=CC(181) - C10H14L(182) ! C=CC=CCC[C](C)C=CL(182) - C10H15(183) ! C=CC=CCC[CH]C=CC(183) - C10H14(184) ! C=CC=CCCC=CC=C(184) - C9H12L(185) ! C=C[CH]C(L)CC=CC=C(185) - C10H14(186) ! C1=CC(C2C=CCC2)CC1(186) - C5H6(187) ! C1=CCC=C1(187) - C11H18L(188) ! C=CC=CCC[C](C)CC(C)L(188) - C5H5(189) ! [CH]1C=CC=C1(189) - C9H14L(190) ! C=C(C)CC[C](C)C=CL(190) - C8H13(191) ! C=CC=CCC[CH]C(191) - C12H20R(192) ! C=CC=CCC[C](C)CC(C)CR(192) - C7H12L(193) ! CC=C[CH]CC(C)L(193) - C8H12(194) ! C=CC=CCCC=C(194) - [CH2]CC(195) ! [CH2]CC(195) - C2H4(196) ! C=C(196) - C8H13(197) ! C=C[CH]C1CCC1C(197) - C8H13(198) ! [CH2]CC(C=C)C(=C)C(198) - C7H12R(199) ! C[C](C=C(C)C)CR(199) - C10H14(200) ! C=CC=CCC(C=C)C=C(200) - C10H12(201) ! C=CC=CCC1C=CC=C1(201) - C10H13(202) ! C=CC=CCC1C=C[CH]C1(202) - C5H9L2(203) ! C[C](L)CC(C)L(203) - C11H16(204) ! C=CC=CCC1C=C(C)CC1(204) - C10H14L(205) ! C=CC=CCC(L)[CH]C(=C)C(205) - C7H11LR(206) ! C=C[CH]C(L)C(C)CR(206) - C8H9R(207) ! RC=CCC1C=CC=C1(207) - C8H11LR(208) ! C[C]1CCC(C=CL)C1R(208) - C8H11LR(209) ! CC12CCC([CH]C1L)C2R(209) - C10H13(210) ! C=CC(C=C)C1[CH]C=CC1(210) - C11H16(211) ! C=CC=CCC1(C)C=CCC1(211) - C7H9LR(212) ! L[CH]C1CCC=CC1R(212) - C8H11R(213) ! C=CC=CCCC=CR(213) - C8H14R(214) ! CC=C[CH]CC(C)CR(214) - C7H9LR(215) ! RC1[CH]C2CCC1C2L(215) - C8H13R2(216) ! C[C](CR)CCC(C)=CR(216) - C7H9LR(217) ! RC=CC1CC[CH]C1L(217) - C7H9LR(218) ! R[CH]C=CCCC=CL(218) - C3H4L(219) ! [CH2]C=CL(219) - C4H5R(220) ! C=CC=CR(220) - C7H9(221) ! [CH2]CC1C=CC=C1(221) - C9H12R(222) ! C=CC=CCC[CH]C=CR(222) - C9H15(223) ! C=CC=CCC[C](C)C(223) - C4H6R(224) ! [CH2]C(=C)CR(224) - RC[C]1CC1(225) ! RC[C]1CC1(225) - C11H15(226) ! C=CC(C=C)C1[CH]C=C(C)C1(226) - C9H14R(227) ! C=CC=CCC(R)[C](C)C(227) - C9H13LR(228) ! C=C(CR)CC[C](C)C=CL(228) - C11H16(229) ! C=CC=CCC1CCC=C1C(229) - C7H10L(230) ! C=CC=CCC[CH]L(230) - C9H15(231) ! C[CH]CC1CCC=C1C(231) - C10H16R(232) ! C=CC(C)=CCC[C](C)CR(232) - C11H15(233) ! C=CC(C=C)C1[CH]C(C)=CC1(233) - C11H15(234) ! C=CC=CCC1CC=C[C]1C(234) - C10H15(235) ! C=C[CH]C(C)CC=CC=C(235) - C8H11LR(236) ! C=C(CR)CC[CH]C=CL(236) - C7H12L(237) ! C=C(C)CC[C](C)L(237) - C11H17(238) ! C=CC=C(C)CC[CH]C=CC(238) - C6H7(239) ! [CH2]C1=CC=CC1(239) - C10H13R(240) ! C=C1C=CC(CC(=C)CR)C1(240) - C9H12L(241) ! C[C](L)CCC1=CC=CC1(241) - C8H11(242) ! [CH2]CC1C=CCC1=C(242) - C10H12L(243) ! LC=C[CH]CCC1=CC=CC1(243) - C12H14(244) ! C=C1C=CC(C2C=CCC2=C)C1(244) - C9H12L(245) ! CC1(L)CCC2=C[CH]C1C2(245) - C11H14(246) ! C=CC=CCC1C=CC(=C)C1(246) - C10H14R(247) ! C[C](CR)CCC1=CC=CC1(247) - C11H14L(248) ! C[C](C=CL)CCC1=CC=CC1(248) - C10H12L(249) ! LC=CC1CCC2=C[CH]C1C2(249) - C10H14R(250) ! CC1(CR)CCC2=C[CH]C1C2(250) - C11H14(251) ! C=CC=CCC1C=CCC1=C(251) - C6H6(252) ! C=C1C=CC=C1(252) - C9H15L2(253) ! C[C](L)CCC(C)=CC(C)L(253) - C12H14(254) ! C=C1C=CC(C2C=CC(=C)C2)C1(254) - C12H14(255) ! C=C1CC=CC1C1C=CCC1=C(255) - C11H15(256) ! CC=C[CH]CCC1=CC=CC1(256) - C12H14(257) ! C=C1C=CC(CC2=CC=CC2)C1(257) - C11H14L(258) ! CC1(C=CL)CCC2=C[CH]C1C2(258) - C12H18L(259) ! C[C](CCC1=CC=CC1)CC(C)L(259) - C9H13(260) ! C=C1C=CC(C[CH]C)C1(260) - C12H14(261) ! C=C1CC=CC1CC1=CC=CC1(261) - C5H7L(262) ! C=CC=C(C)L(262) - C9H11R(263) ! C=C1C=CC(CC=CR)C1(263) - C9H11R(264) ! C=C1CC=CC1CC=CR(264) - C11H15(265) ! CC=CC1CCC2=C[CH]C1C2(265) - C12H17(266) ! CC=C[C](C)CCC1=CC=CC1(266) - C12H16(267) ! C=C1C=CC(C2C=C(C)CC2)C1(267) - C9H11R(268) ! C=CC(R)C1C=CC(=C)C1(268) - C12H16(269) ! C=C1CC=CC1C1C=C(C)CC1(269) - C9H11R(270) ! C=CC(R)C1C=CCC1=C(270) - C11H14(271) ! C=CC=CCCC1=CC=CC1(271) - C9H12(272) ! C=CCC1C=CC(=C)C1(272) - C12H16(273) ! C=C1C=CC(C2(C)C=CCC2)C1(273) - C11H14(274) ! C=C1C=CC(C2C=CCC2)C1(274) - C9H12(275) ! C=CCC1C=CCC1=C(275) - C11H14(276) ! C=C1CC=CC1C1C=CCC1(276) - C12H14(277) ! C1=CCC(CCC2=CC=CC2)=C1(277) - C11H14(278) ! C=CC(C=C)C1C=CC(=C)C1(278) - C11H14(279) ! C=CC(C=C)C1C=CCC1=C(279) - C12H16(280) ! C=C1CC=CC1C1(C)C=CCC1(280) - C13H20R(281) ! C[C](CCC1=CC=CC1)CC(C)CR(281) - C10H12L(282) ! C=C1C=CC(C[CH]C=CL)C1(282) - C12H15(283) ! C=C1CC=CC1C1[CH]C=C(C)C1(283) - C11H12(284) ! C=C1C=CC(C2C=CC=C2)C1(284) - C6H9R(285) ! CC=CC(C)=CR(285) - C7H12R(286) ! CC=C[C](C)C(C)R(286) - C6H8R(287) ! [CH2]C=CC(C)=CR(287) - C6H8R(288) ! C[C]1C=CCC1R(288) - C10H13LR(289) ! CC(C=CCC[CH]C=CL)=CR(289) - C6H8(290) ! C=C1C=CCC1(290) - C8H12R(291) ! [CH2]CC(C=C)C(C)=CR(291) - C10H12L(292) ! C=C[CH]C(L)CC1=CC=CC1(292) - C9H12L(293) ! C=C1C=CC(C[C](C)L)C1(293) - C12H18L(294) ! CC(L)CC1(C)CCC2=C[CH]C1C2(294) - C11H15LR(295) ! C[C](C=CL)CCC=CC(C)=CR(295) - C12H15R(296) ! C=CC=C(C)C(R)C1C=CC(=C)C1(296) - C11H14L(297) ! C=C1C=CC(C[C](C)C=CL)C1(297) - C11H13(298) ! C=C1CC=CC1C1[CH]C=CC1(298) - C9H13LR(299) ! C[C](L)CCC=CC(C)=CR(299) - C12H15R(300) ! C=CC(C(C)=CR)C1C=CC(=C)C1(300) - C12H15R(301) ! C=C1C=CC(CC=CC(C)=CR)C1(301) - C12H15R(302) ! C=CC=C(C)C(R)C1C=CCC1=C(302) - C12H15R(303) ! C=CC(C(C)=CR)C1C=CCC1=C(303) - C12H15R(304) ! C=C1CC=CC1CC=CC(C)=CR(304) - C12H16R2(305) ! C=CC=C(C)C(R)C(C=C)C(C)=CR(305) - C12H15R(306) ! C=C1C=CC(C2C=C(C)C(R)C2)C1(306) - C10H12L(307) ! C=CC1C(L)CC2=C[CH]C1C2(307) - C12H16(308) ! C=C1C=CC(C2CCC=C2C)C1(308) - C12H16(309) ! C=C1CC=CC1C1CCC=C1C(309) - C13H20R(310) ! CC(CR)CC1(C)CCC2=C[CH]C1C2(310) - C9H13(311) ! C[CH]CCC1=CC=CC1(311) - C9H13(312) ! CC1CCC2=C[CH]C1C2(312) - C9H13(313) ! CC1CCC2=CC1[CH]C2(313) - C9H12L(314) ! CC1(L)CCC2=CC1[CH]C2(314) - C12H16R2(315) ! C=CC=C(C)C(R)CC=CC(C)=CR(315) - C10H14R(316) ! C=C1C=CC(C[C](C)CR)C1(316) - C12H15R(317) ! C=C1C=CC(C2(C)C=CCC2R)C1(317) - C10H15R2(318) ! C[C](CR)CCC=CC(C)=CR(318) - C12H16R2(319) ! C=CC(CC=CC(C)=CR)C(C)=CR(319) - C12H15R(320) ! C=C1CC=CC1C1C=C(C)C(R)C1(320) - C12H15R(321) ! C=C1CC=CC1C1(C)C=CCC1R(321) - C12H15R(322) ! C=CC=C(C)C(R)CC1=CC=CC1(322) - C12H15(323) ! C=C1CC=CC1C1[CH]C(C)=CC1(323) - C10H12R(324) ! RC=C[CH]CCC1=CC=CC1(324) - C6H11L(325) ! CC(L)=CC(C)C(325) - C11H14L(326) ! C=C(C)[CH]C(L)CC1=CC=CC1(326) - C11H14L(327) ! C=C(C)C1C(L)CC2=C[CH]C1C2(327) - C8H10L(328) ! C=C1C=CC(C[CH]L)C1(328) - C11H12(329) ! C=C1CC=CC1C1C=CC=C1(329) - C7H13R(330) ! CC(=CC(C)C)CR(330) - C11H14(331) ! C=CC(C=C)CC1=CC=CC1(331) - C9H14L(332) ! C[C](L)CC1CCC=C1C(332) - C10H12R(333) ! RC=CC1CCC2=C[CH]C1C2(333) - C12H15R(334) ! C=CC(CC1=CC=CC1)C(C)=CR(334) - C12H16(335) ! C=CC=C(C)CC1C=CC(=C)C1(335) - C12H15R(336) ! CC(C=CCCC1=CC=CC1)=CR(336) - C12H15(337) ! C[C]1C=CCC1CC1=CC=CC1(337) - C9H13R(338) ! C=CC=C(C)C(R)CC=C(338) - [CH2]C(C)C(399) ! [CH2]C(C)C(399) - C5H8LR(1393) ! CC(L)CC=CR(1393) - C6H9R(1802) ! C=CC=C(C)CR(1802) - C4H6L(1895) ! C=C[CH]CL(1895) - C10H17LR(3394) ! C[C](L)CCC(C)=CC(C)CR(3394) - C13H22R(4080) ! C=C(C)C=CCC[C](C)CC(C)CR(4080) - C13H22R(4084) ! C=CC=C(C)CC[C](C)CC(C)CR(4084) - C12H20L(4086) ! C=C(C)C=CCC[C](C)CC(C)L(4086) - C12H20L(4090) ! C=CC=C(C)CC[C](C)CC(C)L(4090) - C11H17(10750) ! C=C(C)C=CCC[CH]C=CC(10750) - C11H16(11277) ! C=CC=CCCC=CC(=C)C(11277) - C11H16(11279) ! C=CC=CCC(C=C)C(=C)C(11279) - C11H16(11281) ! C=CC=CCCC(C)=CC=C(11281) - C6H8(18175) ! C=C1CC=CC1(18175) - C9H12R(18180) ! RC[CH]CCC1=CC=CC1(18180) - C9H12R(18184) ! C=C1C=CC(C[CH]CR)C1(18184) - C9H13(18191) ! [CH2]C(C)CC1=CC=CC1(18191) - C9H13(18194) ! [CH2]C(C)C1C=CC(=C)C1(18194) - C8H10L(18195) ! L[CH]CCC1=CC=CC1(18195) - C9H12R(18224) ! CC([CH]R)CC1=CC=CC1(18224) - C9H12R(18225) ! C[CH]C(R)CC1=CC=CC1(18225) - C13H20R(18248) ! C=C1C=CC(C[C](C)CC(C)CR)C1(18248) - C12H18L(18253) ! C=C1C=CC(C[C](C)CC(C)L)C1(18253) - C9H11R(18275) ! C=CC(R)CC1=CC=CC1(18275) - C9H11R(18276) ! RC=CCCC1=CC=CC1(18276) - C10H13R(18278) ! C=C(C)C(R)CC1=CC=CC1(18278) - C10H13R(18279) ! C=C(C)C(R)C1C=CCC1=C(18279) - C10H13R(18280) ! C=C1C=CC(C(R)C(=C)C)C1(18280) - C10H13R(18281) ! CC(=CR)CCC1=CC=CC1(18281) - C10H13R(18282) ! C=C1CC=CC1CC(C)=CR(18282) - C10H13R(18283) ! C=C1C=CC(CC(C)=CR)C1(18283) - C10H14R(18285) ! C[C](C)C(R)CC1=CC=CC1(18285) - C9H12(18323) ! C=CCCC1=CC=CC1(18323) - C12H16(18374) ! C=C(C)C=CCCC1=CC=CC1(18374) - C12H16(18375) ! C=C(C)C=CCC1C=CCC1=C(18375) - C12H16(18376) ! C=C(C)C=CCC1C=CC(=C)C1(18376) - C12H16(18377) ! C=CC(CC1=CC=CC1)C(=C)C(18377) - C12H16(18378) ! C=CC(C(=C)C)C1C=CCC1=C(18378) - C12H16(18379) ! C=CC(C(=C)C)C1C=CC(=C)C1(18379) - C12H16(18380) ! C=CC=C(C)CCC1=CC=CC1(18380) - C12H16(18381) ! C=CC=C(C)CC1C=CCC1=C(18381) - C12H15(18389) ! CC1=C[CH]C(CC2=CC=CC2)C1(18389) - C12H15(18406) ! CC1=CCC(CC2=CC=CC2)[CH]1(18406) - C9H11L(18430) ! C=C(L)CC1C=CCC1=C(18430) - C9H11L(18431) ! C=C(L)CC1C=CC(=C)C1(18431) - C10H14(18433) ! C=C(C)CCC1=CC=CC1(18433) - C10H14(18434) ! C=C(C)CC1C=CCC1=C(18434) - C10H14(18435) ! C=C(C)CC1C=CC(=C)C1(18435) - C10H15(18437) ! C[C](C)CCC1=CC=CC1(18437) - C11H15(18454) ! C=C[CH]C(C)CC1=CC=CC1(18454) - C11H15(18464) ! C=C1C=CC(C[CH]C=CC)C1(18464) - C11H13(18468) ! [CH]1C=CCC1CC1=CC=CC1(18468) - C10H13R(18540) ! C=C(CR)CC1C=CCC1=C(18540) - C12H16(18679) ! CC1(CC2=CC=CC2)C=CCC1(18679) - C12H16(18680) ! CC1=CC(CC2=CC=CC2)CC1(18680) - C12H16(18717) ! CC1=CCCC1CC1=CC=CC1(18717) - C12H16(18724) ! C=CC(C)=CCCC1=CC=CC1(18724) - C12H16(18725) ! C=CC(C)=CCC1C=CCC1=C(18725) - C12H16(18726) ! C=CC(C)=CCC1C=CC(=C)C1(18726) - C11H14(18772) ! C1=CCC(CC2C=CCC2)=C1(18772) - C9H13(20452) ! CC1C[C]2C=CC(C2)C1(20452) - C10H14L(20637) ! C=CC=CCC[CH]C=C(C)L(20637) - C11H14L(20661) ! CC(L)=C[CH]CCC1=CC=CC1(20661) - C12H15(22038) ! [CH]1C=C(CCC2=CC=CC2)CC1(22038) - C10H13L(22766) ! C=C1C=CC(CC=CCL)C1(22766) - C6H7R(24238) ! CC1=CC=CC1R(24238) - C9H12R2(24302) ! C=CC=C(C)C(R)CC=CR(24302) - C9H13R(24328) ! C=CCC(C=C)C(C)=CR(24328) - C12H15R(24501) ! CC1(CC2=CC=CC2)C=CCC1R(24501) - C12H15R(24502) ! CC1=CC(CC2=CC=CC2)CC1R(24502) - C9H13(26444) ! CC1CCC12[CH]C=CC2(26444) - CC(C)C(29484) ! CC(C)C(29484) - C8H10L(30673) ! LC1CCC2=CC1[CH]C2(30673) - C8H10L(30674) ! LC1CCC2=C[CH]C1C2(30674) - C10H15(32869) ! CC1(C)CC[C]2CC=CC21(32869) - C10H15(32871) ! CC1(C)CC[C]2C=CC1C2(32871) - C10H14R(33566) ! CC1(C)C(R)CC2=C[CH]C1C2(33566) - C9H12R(34500) ! CC1C(R)CC2=C[CH]C1C2(34500) - C11H15(35243) ! C=CC1C(C)C[C]2CC=CC21(35243) - C11H15(35245) ! C=CC1C(C)C[C]2C=CC1C2(35245) - C4H7L(36302) ! CC=CCL(36302) - C7H11L2(36342) ! C[C](L)CCC=CCL(36342) - C9H12R(38722) ! CC1CC2=CC([CH]C2)C1R(38722) - C9H12R(38723) ! CC1CC2=C[CH]C(C2)C1R(38723) - C9H13(38809) ! CC1CC2=CC([CH]C2)C1(38809) - C9H12R(39454) ! RCC1CCC2=C[CH]C1C2(39454) -END - - - -THERM ALL - 300.000 1000.000 5000.000 - -! Thermo library: primaryThermoLibrary -Ar Ar 1 G 200.000 6000.000 1000.00 1 - 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 --7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 - 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4 - -! Thermo library: primaryThermoLibrary -He He 1 G 200.000 6000.000 1000.00 1 - 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 --7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 - 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4 - -! Thermo library: primaryThermoLibrary -Ne Ne 1 G 200.000 6000.000 1000.00 1 - 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 --7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 - 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4 - -! Thermo library: primaryThermoLibrary -N2 N 2 G 200.000 6000.000 1000.00 1 - 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2 --9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3 - 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -RC10L(1) C 9H 18 G 100.000 5000.000 1475.27 1 - 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2 --8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3 - 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -RC10(2) C 10H 21 G 100.000 5000.000 1541.52 1 - 5.25819112E+01 1.41559443E-01-5.75049538E-05 1.03543536E-08-6.97199284E-13 2 --6.81216129E+04-2.27869605E+02-1.12586940E+01 3.07216242E-01-2.18700413E-04 3 - 8.00673617E-08-1.20031246E-11-4.84393644E+04 1.07752431E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -LC10(3) C 10H 21 G 100.000 5000.000 1541.52 1 - 5.25819112E+01 1.41559443E-01-5.75049538E-05 1.03543536E-08-6.97199284E-13 2 --6.81216129E+04-2.27869605E+02-1.12586940E+01 3.07216242E-01-2.18700413E-04 3 - 8.00673617E-08-1.20031246E-11-4.84393644E+04 1.07752431E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) -[CH2]C(C)L(4) C 3H 6 G 100.000 5000.000 1541.83 1 - 3.85263906E+01 9.20737671E-02-3.61812354E-05 6.40440974E-09-4.27053219E-13 2 --1.72857131E+04-1.58964846E+02-6.64458714E+00 2.09262111E-01-1.50190622E-04 3 - 5.57007052E-08-8.42022648E-12-3.35656505E+03 7.85165414E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! radical(RCCJC) -C[CH]CC(C)CR(5) C 6H 12 G 100.000 5000.000 1504.78 1 - 3.73110068E+01 1.24090988E-01-5.16915954E-05 9.42939166E-09-6.40147780E-13 2 --2.63151970E+04-1.45476457E+02-7.63102707E+00 2.43555525E-01-1.70776457E-04 3 - 6.21877884E-08-9.40526826E-12-1.27896006E+04 8.97083637E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) -[CH2]C(C)CR(6) C 4H 8 G 100.000 5000.000 1519.91 1 - 3.92972533E+01 1.00629423E-01-4.00342189E-05 7.13854495E-09-4.78395364E-13 2 --2.03296949E+04-1.61024373E+02-7.18965368E+00 2.22972227E-01-1.60775972E-04 3 - 6.00992802E-08-9.18967192E-12-6.19869614E+03 8.27092716E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC) -C[CH]CC(C)L(7) C 5H 10 G 100.000 5000.000 1528.48 1 - 3.66313351E+01 1.15380919E-01-4.77499172E-05 8.67437936E-09-5.87079363E-13 2 --2.33094290E+04-1.43930256E+02-7.07660540E+00 2.29762870E-01-1.59999807E-04 3 - 5.76332992E-08-8.59480160E-12-9.94799178E+03 8.54797337E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC) -C[CH]L(8) C 2H 4 G 100.000 5000.000 1579.29 1 - 3.21217372E+01 9.35182810E-02-3.84391464E-05 6.94331813E-09-4.67564767E-13 2 --1.29304278E+04-1.24747764E+02-5.16083715E+00 1.87946445E-01-1.28125933E-04 3 - 4.48026431E-08-6.46062354E-12-1.15436187E+03 7.21565346E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) -C7H14R(9) C 7H 14 G 100.000 5000.000 1490.61 1 - 4.40902741E+01 1.22074368E-01-4.91283992E-05 8.82238256E-09-5.94227390E-13 2 --3.08522359E+04-1.81847704E+02-9.10947611E+00 2.64833564E-01-1.92786413E-04 3 - 7.30723786E-08-1.13699802E-11-1.49921665E+04 9.60470823E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! radical(RCCJC) -C[CH]CR(10) C 3H 6 G 100.000 5000.000 1547.65 1 - 3.27303213E+01 1.02317717E-01-4.24205492E-05 7.70581332E-09-5.21141571E-13 2 --1.58940403E+04-1.25871154E+02-5.70657103E+00 2.01658272E-01-1.38700569E-04 3 - 4.91786017E-08-7.22032038E-12-3.99642459E+03 7.63522612E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) -C6H12L(11) C 6H 12 G 100.000 5000.000 1508.31 1 - 4.32997881E+01 1.13536214E-01-4.52795603E-05 8.08827009E-09-5.42830726E-13 2 --2.77937857E+04-1.79666252E+02-8.55761480E+00 2.51060899E-01-1.82046718E-04 3 - 6.85388497E-08-1.05624307E-11-1.21503963E+04 9.18285434E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) -C3H5R(12) C 3H 5 G 100.000 5000.000 1625.44 1 - 4.13862881E+01 8.61337216E-02-3.42268835E-05 6.07203419E-09-4.04046532E-13 2 --2.75511326E+04-1.77368601E+02-6.54350417E+00 2.04082902E-01-1.43073661E-04 3 - 5.07150689E-08-7.27035182E-12-1.19697443E+04 7.71481686E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) -CC(C)L(13) C 3H 7 G 100.000 5000.000 1644.57 1 - 4.27916236E+01 8.93842125E-02-3.51299322E-05 6.18767706E-09-4.09634053E-13 2 --4.43623526E+04-1.87521249E+02-6.93229131E+00 2.10323244E-01-1.45435879E-04 3 - 5.09022255E-08-7.20683389E-12-2.80072178E+04 7.71052377E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ) -[CH2]R(14) C 1H 2 G 100.000 5000.000 1624.69 1 - 3.64343719E+01 7.74270253E-02-3.08291301E-05 5.47403071E-09-3.64440441E-13 2 --1.05305705E+04-1.52031513E+02-5.26002960E+00 1.80079364E-01-1.25603569E-04 3 - 4.43634158E-08-6.34858670E-12 3.01747437E+03 6.93547196E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! radical(RCCJC) -C8H16L(15) C 8H 16 G 100.000 5000.000 1494.00 1 - 4.12792897E+01 1.37057211E-01-5.69716248E-05 1.03873720E-08-7.05271163E-13 2 --3.37654893E+04-1.63926566E+02-9.00332731E+00 2.71682854E-01-1.92138096E-04 3 - 7.07026926E-08-1.07982084E-11-1.87410614E+04 9.88442474E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CCCC(C)L(16) C 5H 11 G 100.000 5000.000 1594.11 1 - 4.40713161E+01 1.06818786E-01-4.29770201E-05 7.68206216E-09-5.14061186E-13 2 --4.98892225E+04-1.89383727E+02-7.99085891E+00 2.37454646E-01-1.65900196E-04 3 - 5.90891050E-08-8.57606016E-12-3.32905943E+04 8.60637692E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H11R(17) C 6H 11 G 100.000 5000.000 1578.29 1 - 4.59276097E+01 1.07895147E-01-4.34620486E-05 7.78252817E-09-5.21698626E-13 2 --3.83266623E+04-1.96694728E+02-8.43351518E+00 2.45669206E-01-1.74403678E-04 3 - 6.30927637E-08-9.28291777E-12-2.11673688E+04 9.03728099E+01 4 - -! Thermo library: DFT_QCI_thermo -C3H6(18) C 3H 6 G 100.000 5000.000 983.75 1 - 5.36754852E+00 1.70743074E-02-6.35107943E-06 1.16619604E-09-8.27620902E-14 2 --4.87136983E+02-4.54465723E+00 3.31912186E+00 8.17957661E-03 3.34736487E-05 3 --4.36194166E-08 1.58213573E-11 7.49325292E+02 9.54024758E+00 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C2H3L(19) C 2H 3 G 100.000 5000.000 1653.46 1 - 4.07472692E+01 7.74275193E-02-3.03142241E-05 5.32811083E-09-3.52144137E-13 2 --2.45919396E+04-1.76104698E+02-6.01948220E+00 1.90563667E-01-1.32949543E-04 3 - 4.67099481E-08-6.60896857E-12-9.12647370E+03 7.30356709E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CC(C)CR(20) C 4H 9 G 100.000 5000.000 1618.41 1 - 4.34228450E+01 9.81075269E-02-3.90538119E-05 6.93445619E-09-4.61784836E-13 2 --4.73199304E+04-1.88744173E+02-7.45870284E+00 2.23863364E-01-1.55607832E-04 3 - 5.49457984E-08-7.87816021E-12-3.08503528E+04 8.12269298E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C8H15L(21) C 8H 15 G 100.000 5000.000 1561.45 1 - 4.98474090E+01 1.20915066E-01-4.87623012E-05 8.74356210E-09-5.86973757E-13 2 --4.57452936E+04-2.14851163E+02-9.79588657E+00 2.73705132E-01-1.95539931E-04 3 - 7.14110239E-08-1.06205466E-11-2.71193564E+04 9.94709841E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CR(22) C 1H 3 G 100.000 5000.000 1679.72 1 - 3.90478443E+01 7.61426480E-02-2.97303858E-05 5.20770642E-09-3.43051755E-13 2 --3.66461511E+04-1.69718848E+02-5.58579996E+00 1.82431290E-01-1.24647088E-04 3 - 4.28794655E-08-5.94992102E-12-2.16517950E+04 6.87607578E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CC(C)CC(C)CR(23) C 7H 15 G 100.000 5000.000 1574.47 1 - 4.79531879E+01 1.19892290E-01-4.83040988E-05 8.64877813E-09-5.79768956E-13 2 --5.76902548E+04-2.08012014E+02-9.35195126E+00 2.65478226E-01-1.87004124E-04 3 - 6.73775800E-08-9.90494434E-12-3.96452207E+04 9.44639985E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C5H9L(24) C 5H 9 G 100.000 5000.000 1600.35 1 - 4.52409493E+01 9.92347396E-02-3.95629486E-05 7.03978495E-09-4.69776807E-13 2 --3.53331899E+04-1.95136900E+02-7.89885641E+00 2.32054825E-01-1.64054195E-04 3 - 5.88996470E-08-8.57108525E-12-1.83246844E+04 8.62196191E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CC(C)CC(C)L(25) C 6H 13 G 100.000 5000.000 1595.34 1 - 4.72741267E+01 1.11217363E-01-4.43960626E-05 7.90383831E-09-5.27660133E-13 2 --5.46992807E+04-2.06495741E+02-8.81576052E+00 2.51850339E-01-1.76623334E-04 3 - 6.31589402E-08-9.18640617E-12-3.68026221E+04 9.03049262E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CCL(26) C 2H 5 G 100.000 5000.000 1648.26 1 - 3.96316091E+01 8.49195137E-02-3.36752866E-05 5.95790351E-09-3.95396480E-13 2 --3.95727588E+04-1.70654782E+02-6.10590951E+00 1.95915286E-01-1.34686954E-04 3 - 4.68137421E-08-6.59220368E-12-2.44952792E+04 7.28583139E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CCCR(27) C 3H 7 G 100.000 5000.000 1619.33 1 - 4.02383699E+01 9.36798304E-02-3.76187744E-05 6.70903400E-09-4.47891496E-13 2 --4.25183136E+04-1.71736776E+02-6.63284667E+00 2.09459578E-01-1.44867030E-04 3 - 5.08625565E-08-7.26455325E-12-2.73383810E+04 7.69820737E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C7H14LR(28) C 7H 14 G 100.000 5000.000 1479.02 1 - 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2 --7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3 - 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C10H20LR(29) C 10H 20 G 100.000 5000.000 1466.16 1 - 7.67441503E+01 2.28947774E-01-9.52763901E-05 1.74235795E-08-1.18670493E-12 2 --8.93030266E+04-3.32347701E+02-1.98836507E+01 4.92570837E-01-3.64985722E-04 3 - 1.40061853E-07-2.20983092E-11-6.09688382E+04 1.70799299E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -C9H18L2(30) C 9H 18 G 100.000 5000.000 1475.27 1 - 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2 --8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3 - 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -CC(L)CCR(31) C 4H 8 G 100.000 5000.000 1494.35 1 - 6.71460882E+01 1.86045197E-01-7.70682258E-05 1.40492108E-08-9.54366487E-13 2 --6.82399178E+04-2.90609368E+02-1.60257393E+01 4.08679900E-01-3.00549296E-04 3 - 1.13751724E-07-1.76346235E-11-4.33828661E+04 1.44054310E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -CCCC(C)CR(32) C 6H 13 G 100.000 5000.000 1571.50 1 - 4.47361094E+01 1.15517591E-01-4.68986533E-05 8.43018160E-09-5.66431604E-13 2 --5.28741224E+04-1.90819487E+02-8.52834708E+00 2.51093805E-01-1.76306547E-04 3 - 6.33280547E-08-9.29979511E-12-3.61331189E+04 9.02278398E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -C8H16L2(33) C 8H 16 G 100.000 5000.000 1484.71 1 - 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2 --8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3 - 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -CC(CR)CCR(34) C 5H 10 G 100.000 5000.000 1483.31 1 - 6.79194031E+01 1.94616011E-01-8.09371883E-05 1.47882824E-08-1.00618649E-12 2 --7.12925726E+04-2.92696761E+02-1.65814805E+01 4.22487642E-01-3.11373300E-04 3 - 1.18356929E-07-1.84618888E-11-4.62244259E+04 1.48287650E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -CC(L)CC(C)L(35) C 5H 10 G 100.000 5000.000 1499.79 1 - 7.03777505E+01 1.90385023E-01-7.84498327E-05 1.42615841E-08-9.67153121E-13 2 --7.26555240E+04-3.07183409E+02-1.68423354E+01 4.23001038E-01-3.11094971E-04 3 - 1.17672369E-07-1.82044417E-11-4.64927737E+04 1.48956870E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C8H16R2(36) C 8H 16 G 100.000 5000.000 1469.25 1 - 7.27198238E+01 2.16067137E-01-9.00420105E-05 1.64757764E-08-1.12238939E-12 2 --8.18255679E+04-3.13575341E+02-1.85116031E+01 4.64443913E-01-3.43618374E-04 3 - 1.31535688E-07-2.07004907E-11-5.50173505E+04 1.61664570E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -CC(L)CC(C)CR(37) C 6H 12 G 100.000 5000.000 1489.22 1 - 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2 --7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3 - 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C7H14LR(38) C 7H 14 G 100.000 5000.000 1479.02 1 - 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2 --7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3 - 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C9H18R2(39) C 9H 18 G 100.000 5000.000 1475.27 1 - 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2 --8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3 - 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C7H14R2(40) C 7H 14 G 100.000 5000.000 1479.02 1 - 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2 --7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3 - 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -CC(L)CR(41) C 3H 6 G 100.000 5000.000 1505.82 1 - 6.63779470E+01 1.77470953E-01-7.31993102E-05 1.33104776E-08-9.02593934E-13 2 --6.51915286E+04-2.88554972E+02-1.54725850E+01 3.94896093E-01-2.89784759E-04 3 - 1.09198923E-07-1.68222817E-11-4.05411699E+04 1.39830782E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -CC(CR)CR(42) C 4H 8 G 100.000 5000.000 1494.35 1 - 6.71460882E+01 1.86045197E-01-7.70682258E-05 1.40492108E-08-9.54366487E-13 2 --6.82399178E+04-2.90609368E+02-1.60257393E+01 4.08679900E-01-3.00549296E-04 3 - 1.13751724E-07-1.76346235E-11-4.33828661E+04 1.44054310E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C8H16LR(43) C 8H 16 G 100.000 5000.000 1484.71 1 - 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2 --8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3 - 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C8H16LR(44) C 8H 16 G 100.000 5000.000 1484.71 1 - 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2 --8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3 - 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -CC(L)CCC(C)L(45) C 6H 12 G 100.000 5000.000 1489.22 1 - 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2 --7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3 - 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -C7H14L2(46) C 7H 14 G 100.000 5000.000 1494.60 1 - 7.43845326E+01 2.03289032E-01-8.36952377E-05 1.52115930E-08-1.03162789E-12 2 --8.01231385E+04-3.25852407E+02-1.82123807E+01 4.51108910E-01-3.32413134E-04 3 - 1.26153446E-07-1.95889395E-11-5.24443634E+04 1.58084057E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -CC(L)C(C)CR(47) C 5H 10 G 100.000 5000.000 1499.79 1 - 7.03777505E+01 1.90385023E-01-7.84498327E-05 1.42615841E-08-9.67153121E-13 2 --7.26555240E+04-3.07183409E+02-1.68423354E+01 4.23001038E-01-3.11094971E-04 3 - 1.17672369E-07-1.82044417E-11-4.64927737E+04 1.48956870E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C10H20R2(48) C 10H 20 G 100.000 5000.000 1466.16 1 - 7.67441503E+01 2.28947774E-01-9.52763901E-05 1.74235795E-08-1.18670493E-12 2 --8.93030266E+04-3.32347701E+02-1.98836507E+01 4.92570837E-01-3.64985722E-04 3 - 1.40061853E-07-2.20983092E-11-6.09688382E+04 1.70799299E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C8H17L(49) C 8H 17 G 100.000 5000.000 1554.89 1 - 4.86451320E+01 1.28557691E-01-5.22112034E-05 9.39422141E-09-6.31961750E-13 2 --6.02890306E+04-2.08916685E+02-9.89275526E+00 2.79147767E-01-1.97484881E-04 3 - 7.16808740E-08-1.06465782E-11-4.20849931E+04 9.93338245E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C11H22L2(50) C 11H 22 G 100.000 5000.000 1471.95 1 - 7.99750319E+01 2.33281944E-01-9.66520937E-05 1.76341309E-08-1.19931512E-12 2 --9.37155757E+04-3.48912285E+02-2.06961127E+01 5.06853825E-01-3.75436947E-04 3 - 1.43899535E-07-2.26445517E-11-6.40789645E+04 1.75686167E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -CC(L)C(C)L(51) C 4H 8 G 100.000 5000.000 1510.86 1 - 6.96078518E+01 1.81816021E-01-7.45847849E-05 1.35239001E-08-9.15475584E-13 2 --6.96072914E+04-3.05120767E+02-1.62906661E+01 4.09230782E-01-3.00363448E-04 3 - 1.13148050E-07-1.74000456E-11-4.36509978E+04 1.44738996E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -CC(CR)C(C)CR(52) C 6H 12 G 100.000 5000.000 1489.22 1 - 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2 --7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3 - 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C10H20L2(53) C 10H 20 G 100.000 5000.000 1480.81 1 - 7.91833410E+01 2.24735842E-01-9.27948993E-05 1.68974356E-08-1.14766819E-12 2 --9.06527016E+04-3.46716799E+02-2.01384092E+01 4.93027362E-01-3.64564450E-04 3 - 1.39249733E-07-2.18040727E-11-6.12375042E+04 1.71445441E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C11H22LR(54) C 11H 22 G 100.000 5000.000 1471.95 1 - 7.99750319E+01 2.33281944E-01-9.66520937E-05 1.76341309E-08-1.19931512E-12 2 --9.37155757E+04-3.48912285E+02-2.06961127E+01 5.06853825E-01-3.75436947E-04 3 - 1.43899535E-07-2.26445517E-11-6.40789645E+04 1.75686167E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -RCCR(55) C 2H 4 G 100.000 5000.000 1500.22 1 - 6.31443474E+01 1.73132989E-01-7.18182364E-05 1.30981430E-08-8.89805343E-13 2 --6.07745508E+04-2.71968994E+02-1.46553688E+01 3.80569205E-01-2.79224763E-04 3 - 1.05265628E-07-1.62488543E-11-3.74312949E+04 1.34925870E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C6H11R(56) C 6H 11 G 100.000 5000.000 1573.74 1 - 4.44614767E+01 1.10024794E-01-4.45884695E-05 8.00872436E-09-5.37864887E-13 2 --3.95105343E+04-1.88882527E+02-8.23867289E+00 2.43974812E-01-1.72263205E-04 3 - 6.20946966E-08-9.12989091E-12-2.29234172E+04 8.92618993E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C5H9L(57) C 5H 9 G 100.000 5000.000 1596.45 1 - 4.37869676E+01 1.01342742E-01-4.06765588E-05 7.26290782E-09-4.85685660E-13 2 --3.65216992E+04-1.87392304E+02-7.70229806E+00 2.30345382E-01-1.61879110E-04 3 - 5.78736153E-08-8.41077781E-12-2.00808296E+04 8.51021119E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) -C3H5R(58) C 3H 5 G 100.000 5000.000 1622.86 1 - 3.96068401E+01 8.88860835E-02-3.57370036E-05 6.37739500E-09-4.25852434E-13 2 --2.83511716E+04-1.67857564E+02-6.28921156E+00 2.02012109E-01-1.40300717E-04 3 - 4.93327143E-08-7.04320343E-12-1.34548820E+04 7.57858915E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) -C3H5L(59) C 3H 5 G 100.000 5000.000 1574.43 1 - 3.87516459E+01 9.03518399E-02-3.64895985E-05 6.54424310E-09-4.39156847E-13 2 --2.80190099E+04-1.63108264E+02-6.34472480E+00 2.04923457E-01-1.45644631E-04 3 - 5.27640327E-08-7.77826746E-12-1.38187555E+04 7.49247196E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) -C4H7R(60) C 4H 7 G 100.000 5000.000 1549.92 1 - 3.94537407E+01 9.90023529E-02-4.03890107E-05 7.28801366E-09-4.91219466E-13 2 --3.10255349E+04-1.64764903E+02-6.88564493E+00 2.18594302E-01-1.56129385E-04 3 - 5.70714999E-08-8.52124630E-12-1.66610987E+04 7.91018149E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C8H15L(61) C 8H 15 G 100.000 5000.000 1556.80 1 - 4.83755521E+01 1.23055907E-01-4.98957019E-05 8.97148815E-09-6.03288118E-13 2 --4.69273810E+04-2.07007849E+02-9.60235862E+00 2.72022403E-01-1.93426767E-04 3 - 7.04354708E-08-1.04735063E-11-2.88753318E+04 9.83651109E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C7H13R(62) C 7H 13 G 100.000 5000.000 1514.69 1 - 4.41411172E+01 1.20598012E-01-4.95591836E-05 8.98803361E-09-6.08288683E-13 2 --4.18951831E+04-1.84973005E+02-8.80078909E+00 2.60409894E-01-1.88017759E-04 3 - 6.99295301E-08-1.06668910E-11-2.58573734E+04 9.24221318E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H11L(63) C 6H 11 G 100.000 5000.000 1534.14 1 - 4.34033539E+01 1.11985813E-01-4.56735399E-05 8.24618201E-09-5.56306813E-13 2 --3.88648693E+04-1.83099435E+02-8.25205344E+00 2.46667371E-01-1.77357154E-04 3 - 6.54694725E-08-9.88122830E-12-2.30154470E+04 8.82153246E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cs_S) -C10H20R(64) C 10H 20 G 100.000 5000.000 1523.52 1 - 4.86315535E+01 1.45358503E-01-6.02695778E-05 1.09681376E-08-7.43337390E-13 2 --4.31234934E+04-2.02791872E+02-1.06125216E+01 3.00903849E-01-2.13413719E-04 3 - 7.79814730E-08-1.17398088E-11-2.50715978E+04 1.07969652E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H17LR(65) C 9H 17 G 100.000 5000.000 1391.85 1 - 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2 --5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3 - 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) -C9H17LR(66) C 9H 17 G 100.000 5000.000 1460.67 1 - 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2 --6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3 - 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) -C9H17LR(67) C 9H 17 G 100.000 5000.000 1460.67 1 - 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2 --6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3 - 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) -C9H17LR(68) C 9H 17 G 100.000 5000.000 1460.67 1 - 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2 --6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3 - 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H17LR(69) C 9H 17 G 100.000 5000.000 1391.85 1 - 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2 --5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3 - 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) -C9H17LR(70) C 9H 17 G 100.000 5000.000 1430.10 1 - 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2 --5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3 - 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) -C9H17LR(71) C 9H 17 G 100.000 5000.000 1430.10 1 - 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2 --5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3 - 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H17LR(72) C 9H 17 G 100.000 5000.000 1391.85 1 - 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2 --5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3 - 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) -C9H17LR(73) C 9H 17 G 100.000 5000.000 1430.10 1 - 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2 --5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3 - 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4 - -! Thermo library: DFT_QCI_thermo -CH3(74) C 1H 3 G 100.000 5000.000 660.46 1 - 3.22169532E+00 5.22646123E-03-1.64124874E-06 2.58224556E-10-1.62579368E-14 2 - 1.65213100E+04 3.53938346E+00 3.94800490E+00 8.27599092E-04 8.34931957E-06 3 --9.82634852E-09 3.80104045E-12 1.64253714E+04 3.36654899E-01 4 - -! Thermo library: primaryThermoLibrary -C(75) C 1H 4 G 100.000 5000.000 1084.12 1 - 9.08278561E-01 1.14540647E-02-4.57172635E-06 8.29188900E-10-5.66312625E-14 2 --9.71998006E+03 1.39930217E+01 4.20541301E+00-5.35554796E-03 2.51122401E-05 3 --2.13761779E-08 5.97519672E-12-1.01619432E+04-9.21271252E-01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cs_S) -C10H20L(76) C 10H 20 G 100.000 5000.000 1523.52 1 - 4.86315535E+01 1.45358503E-01-6.02695778E-05 1.09681376E-08-7.43337390E-13 2 --4.31234934E+04-2.02791872E+02-1.06125216E+01 3.00903849E-01-2.13413719E-04 3 - 7.79814730E-08-1.17398088E-11-2.50715978E+04 1.07969652E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C5H8L(77) C 5H 8 G 100.000 5000.000 1601.46 1 - 4.23882656E+01 1.00590274E-01-4.02047684E-05 7.15630533E-09-4.77527232E-13 2 --2.01737155E+04-1.81426183E+02-7.42917055E+00 2.25020390E-01-1.56751717E-04 3 - 5.56732885E-08-8.05139883E-12-4.21759796E+03 8.23739357E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + radical(Allyl_P) -C3H4R(78) C 3H 4 G 100.000 5000.000 1617.17 1 - 4.26862363E+01 8.16269168E-02-3.20789189E-05 5.66174589E-09-3.75757549E-13 2 --1.11768129E+04-1.84381803E+02-6.66621560E+00 2.03694766E-01-1.45299431E-04 3 - 5.23348216E-08-7.59080173E-12 4.78588016E+03 7.74392091E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C4H6R(79) C 4H 6 G 100.000 5000.000 1546.08 1 - 4.08763064E+01 9.43104971E-02-3.81431717E-05 6.85603806E-09-4.61216850E-13 2 --1.47116486E+04-1.72484867E+02-7.00666109E+00 2.18193748E-01-1.58335126E-04 3 - 5.86829916E-08-8.84166482E-12 9.44115568E+01 7.93860812E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopropane) + radical(Tertalkyl) -C[C]1CC1R(80) C 4H 6 G 100.000 5000.000 1677.66 1 - 4.32694628E+01 8.94628905E-02-3.52676167E-05 6.20879235E-09-4.10273142E-13 2 --7.32836306E+03-1.87616915E+02-6.87875301E+00 2.09030442E-01-1.42173709E-04 3 - 4.86911936E-08-6.74090305E-12 9.49789798E+03 8.02657143E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C4H7R(81) C 4H 7 G 100.000 5000.000 1542.75 1 - 3.76063799E+01 1.01870887E-01-4.19662215E-05 7.60921443E-09-5.14337475E-13 2 --3.17976825E+04-1.54872490E+02-6.63876271E+00 2.16588254E-01-1.53504519E-04 3 - 5.58080264E-08-8.32485702E-12-1.81458166E+04 7.77680482E+01 4 - -! Thermo library: primaryThermoLibrary -H(82) H 1 G 100.000 5000.000 4561.14 1 - 2.50001921E+00-1.64942466E-08 5.30954718E-12-7.59275309E-16 4.06972192E-20 2 - 2.54741999E+04-4.45095101E-01 2.50000000E+00-2.06855000E-14 2.66266370E-17 3 --1.11497399E-20 1.43541790E-24 2.54742178E+04-4.44972896E-01 4 - -! Thermo library: primaryThermoLibrary -[H][H](83) H 2 G 100.000 5000.000 1959.07 1 - 2.78817312E+00 5.87631468E-04 1.59014852E-07-5.52747927E-11 4.34317472E-15 2 --5.96148572E+02 1.12689431E-01 3.43536405E+00 2.12710960E-04-2.78626417E-07 3 - 3.40268245E-10-7.76034667E-14-1.03135984E+03-3.90841705E+00 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C5H9L(84) C 5H 9 G 100.000 5000.000 1560.08 1 - 4.15747769E+01 1.05080059E-01-4.28066831E-05 7.71413382E-09-5.19333133E-13 2 --3.61498735E+04-1.74820688E+02-7.51322850E+00 2.30941265E-01-1.63821810E-04 3 - 5.94277508E-08-8.80641131E-12-2.08337497E+04 8.38314376E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(Isobutyl) -C7H15(85) C 7H 15 G 100.000 5000.000 1038.88 1 - 1.29721091E+01 4.54907462E-02-1.71882902E-05 3.06426502E-09-2.09450660E-13 2 --6.37556447E+03-3.75046223E+01 2.13908678E-01 7.18061257E-02-2.22529724E-05 3 --1.48182031E-08 9.17930038E-12-2.49394764E+03 3.04565124E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) -C3H5L(86) C 3H 5 G 100.000 5000.000 1622.86 1 - 3.96068401E+01 8.88860835E-02-3.57370036E-05 6.37739500E-09-4.25852434E-13 2 --2.83511716E+04-1.67857564E+02-6.28921156E+00 2.02012109E-01-1.40300717E-04 3 - 4.93327143E-08-7.04320343E-12-1.34548820E+04 7.57858915E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -CC(C)CC(C)C(87) C 7H 16 G 100.000 5000.000 1058.23 1 - 1.34326009E+01 4.84570962E-02-1.90871781E-05 3.49346215E-09-2.42556546E-13 2 --3.15482438E+04-4.47651915E+01 1.91163226E-01 7.01352878E-02-9.59752450E-06 3 --2.78212306E-08 1.31408798E-11-2.71570629E+04 2.73728430E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! ring(Cyclopropane) + radical(cyclopropane) -RC1[CH]C1(88) C 3H 4 G 100.000 5000.000 1151.07 1 - 3.33919151E+01 9.46269399E-02-3.87084097E-05 7.15379941E-09-4.95928376E-13 2 - 6.30083748E+03-1.31815947E+02-5.78465261E+00 1.86158798E-01-9.98571637E-05 3 - 8.90258332E-09 6.43628048E-12 1.82750317E+04 7.55368861E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C5H8L(89) C 5H 8 G 100.000 5000.000 1594.20 1 - 4.69357996E+01 9.39760724E-02-3.69605026E-05 6.53422234E-09-4.34548893E-13 2 --1.93804483E+04-2.04314770E+02-8.07693036E+00 2.32008430E-01-1.66836795E-04 3 - 6.08462906E-08-8.95169441E-12-1.84021061E+03 8.67461854E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C6H10R(90) C 6H 10 G 100.000 5000.000 1577.55 1 - 4.30521565E+01 1.09286748E-01-4.41236445E-05 7.90355110E-09-5.29812297E-13 2 --2.31566630E+04-1.82854022E+02-7.96494702E+00 2.38644237E-01-1.67121808E-04 3 - 5.98819811E-08-8.76699986E-12-7.06021677E+03 8.65314585E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C4H5L(91) C 4H 5 G 100.000 5000.000 1202.61 1 - 3.92568879E+01 9.24026354E-02-3.70827523E-05 6.75722158E-09-4.63497728E-13 2 --1.64497691E+04-1.62808037E+02-7.05652185E+00 2.12585949E-01-1.44752777E-04 3 - 4.30319946E-08-3.13736874E-12-2.86188191E+03 7.93519034E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + radical(Allyl_S) -C6H9L2(92) C 6H 9 G 100.000 5000.000 1509.91 1 - 7.23290017E+01 1.88932694E-01-7.80037968E-05 1.41889135E-08-9.62233073E-13 2 --4.54511146E+04-3.16204367E+02-1.70523038E+01 4.25719677E-01-3.13237868E-04 3 - 1.18051733E-07-1.81591762E-11-1.84597060E+04 1.51837883E+02 4 - -! Thermo library: DFT_QCI_thermo -C[CH]CC(93) C 4H 9 G 100.000 5000.000 1083.85 1 - 6.12705092E+00 2.82085259E-02-1.13016302E-05 2.07329731E-09-1.43449797E-13 2 - 4.72407282E+03-4.53130119E+00 2.48181165E+00 2.70987649E-02 1.03882077E-05 3 --2.36643859E-08 8.65252146E-12 6.36961909E+03 1.72943401E+01 4 - -! Thermo library: DFT_QCI_thermo -C[CH]C(94) C 3H 7 G 100.000 5000.000 1029.98 1 - 4.36587086E+00 2.14398704E-02-8.48554072E-06 1.56800604E-09-1.09812131E-13 2 - 8.03954671E+03 2.70031117E+00 3.23517657E+00 1.11017098E-02 2.80210079E-05 3 --3.59453905E-08 1.23655265E-11 9.05375594E+03 1.19813906E+01 4 - -! Thermo library: DFT_QCI_thermo -CCC(95) C 3H 8 G 100.000 5000.000 990.00 1 - 5.60447662E+00 2.19527487E-02-8.22073118E-06 1.50102222E-09-1.05633888E-13 2 --1.58394358E+04-6.22666189E+00 3.06334227E+00 1.29216894E-02 3.47024469E-05 3 --4.70935143E-08 1.71379380E-11-1.43905780E+04 1.07836285E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_S) -C5H8L(96) C 5H 8 G 100.000 5000.000 1633.63 1 - 4.55080988E+01 9.64889711E-02-3.85348271E-05 6.84821621E-09-4.55954447E-13 2 --1.93909644E+04-1.97870777E+02-7.68519665E+00 2.26734045E-01-1.58125411E-04 3 - 5.56516237E-08-7.92447488E-12-2.01125653E+03 8.48638654E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C7H11LR(97) C 7H 11 G 100.000 5000.000 1499.26 1 - 7.30957065E+01 1.97507231E-01-8.18720734E-05 1.49273655E-08-1.01397460E-12 2 --4.84980580E+04-3.18249121E+02-1.76043759E+01 4.39493522E-01-3.23977827E-04 3 - 1.22583044E-07-1.89654455E-11-2.13014596E+04 1.56057300E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C6H11R(98) C 6H 11 G 100.000 5000.000 1538.01 1 - 4.22750830E+01 1.13740300E-01-4.67141669E-05 8.46020096E-09-5.71608942E-13 2 --3.91583501E+04-1.76472169E+02-8.05769744E+00 2.44644059E-01-1.74382911E-04 3 - 6.37996120E-08-9.56691094E-12-2.36758992E+04 8.80220864E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C6H9LR(99) C 6H 9 G 100.000 5000.000 1406.10 1 - 5.84314024E+01 2.11113350E-01-9.04274332E-05 1.67930805E-08-1.15517132E-12 2 --3.36486804E+04-2.33753235E+02-1.57128536E+01 4.22037250E-01-3.15439258E-04 3 - 1.23477838E-07-2.01235702E-11-1.27980487E+04 1.49219012E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Allyl_S) -C7H9LR(100) C 7H 9 G 100.000 5000.000 1505.57 1 - 7.31595925E+01 1.91621995E-01-7.94601354E-05 1.44890057E-08-9.84095914E-13 2 --3.38353104E+04-3.17488975E+02-1.73064689E+01 4.31966551E-01-3.18909761E-04 3 - 1.20514795E-07-1.85892625E-11-6.59405836E+03 1.55975790E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + radical(RCCJCC) -CC(L)C[CH]L(101) C 4H 7 G 100.000 5000.000 1445.46 1 - 5.82323205E+01 1.97288637E-01-8.35006602E-05 1.53963176E-08-1.05374327E-12 2 --4.11999866E+04-2.37279273E+02-1.49372844E+01 3.99767772E-01-2.93617621E-04 3 - 1.12304272E-07-1.78143220E-11-2.00470275E+04 1.42680210E+02 4 - -! Thermo library: DFT_QCI_thermo -C3H5(102) C 3H 5 G 100.000 5000.000 942.19 1 - 8.06879734E+00 1.01833680E-02-2.84777615E-06 5.00839348E-10-3.79594393E-14 2 - 1.69146147E+04-1.95280963E+01 3.29609384E+00 5.79287479E-03 4.33896783E-05 3 --5.99857602E-08 2.33800081E-11 1.89082169E+04 9.02012687E+00 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C6H10L(103) C 6H 10 G 100.000 5000.000 1532.13 1 - 4.52170097E+01 1.06543786E-01-4.29724403E-05 7.71847092E-09-5.19310898E-13 2 --2.29690207E+04-1.92959095E+02-8.42686039E+00 2.46594475E-01-1.80086396E-04 3 - 6.73801617E-08-1.02544177E-11-6.53117340E+03 8.87291093E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C5H7L(104) C 5H 7 G 100.000 5000.000 1521.94 1 - 4.48175384E+01 9.39010236E-02-3.72171843E-05 6.63649644E-09-4.45042096E-13 2 --2.34033008E+04-1.93495439E+02-7.91047958E+00 2.32481973E-01-1.73800259E-04 3 - 6.64649423E-08-1.02726953E-11-7.35351105E+03 8.30318350E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H9R(105) C 6H 9 G 100.000 5000.000 1590.42 1 - 4.60365286E+01 1.01961297E-01-4.10324940E-05 7.34167468E-09-4.91711153E-13 2 --2.36938595E+04-1.96208293E+02-8.14538326E+00 2.38231885E-01-1.69555597E-04 3 - 6.12154929E-08-8.96019333E-12-6.45944603E+03 9.03284623E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C7H11L2(106) C 7H 11 G 100.000 5000.000 1474.00 1 - 7.07714902E+01 2.01350075E-01-8.39753265E-05 1.53710386E-08-1.04725580E-12 2 --4.91562442E+04-3.05846186E+02-1.74521315E+01 4.40763701E-01-3.27612814E-04 3 - 1.25564758E-07-1.97368918E-11-2.31480088E+04 1.54010473E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C6H11L(107) C 6H 11 G 100.000 5000.000 1527.76 1 - 4.19190520E+01 1.14150632E-01-4.68217907E-05 8.47777542E-09-5.72934512E-13 2 --4.00429130E+04-1.75188194E+02-8.06129866E+00 2.45009393E-01-1.75302398E-04 3 - 6.45425185E-08-9.74724344E-12-2.47712695E+04 8.71200648E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C7H12R(108) C 7H 12 G 100.000 5000.000 1513.85 1 - 4.59853455E+01 1.15107211E-01-4.68311918E-05 8.45417368E-09-5.70795050E-13 2 --2.60133365E+04-1.95006946E+02-8.97408625E+00 2.60324138E-01-1.90718842E-04 3 - 7.18188585E-08-1.10349053E-11-9.37318742E+03 9.29300752E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopropane) -! + radical(Tertalkyl) -C7H12R(109) C 7H 12 G 100.000 5000.000 1621.91 1 - 4.76000719E+01 1.11495896E-01-4.46275323E-05 7.94370489E-09-5.29655936E-13 2 --1.79807363E+04-2.05694056E+02-8.75303325E+00 2.50473773E-01-1.73157608E-04 3 - 6.07737928E-08-8.67274476E-12 2.99424706E+02 9.34304178E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) -C6H10(110) C 6H 10 G 100.000 5000.000 1023.19 1 - 1.24480301E+01 2.94414962E-02-1.12019207E-05 2.03342668E-09-1.41510457E-13 2 --8.35565333E+02-3.93998064E+01 1.14011395E+00 5.31090461E-02-1.57885048E-05 3 --1.45965712E-08 8.71519560E-12 2.55359686E+03 2.06674104E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H9R(111) C 6H 9 G 100.000 5000.000 1584.59 1 - 4.74581296E+01 9.96063557E-02-3.96166839E-05 7.04981702E-09-4.70839326E-13 2 --2.37711356E+04-2.06728399E+02-8.39552643E+00 2.40598401E-01-1.73082142E-04 3 - 6.32012227E-08-9.32981795E-12-6.07010347E+03 8.84440887E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C8H14L(112) C 8H 14 G 100.000 5000.000 1559.63 1 - 4.69575930E+01 1.22330194E-01-4.94371073E-05 8.86764449E-09-5.95337405E-13 2 --3.05689692E+04-2.00929035E+02-9.32838229E+00 2.66689366E-01-1.88278779E-04 3 - 6.82165572E-08-1.01087639E-11-1.30121435E+04 9.56337353E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ) -C6H9(113) C 6H 9 G 100.000 5000.000 965.66 1 - 1.28508180E+01 2.59267182E-02-8.99835414E-06 1.59787198E-09-1.12287613E-13 2 - 1.29996083E+04-4.04076437E+01 1.45430192E+00 4.38196386E-02 8.74269289E-06 3 --4.20860694E-08 1.93355023E-11 1.65674203E+04 2.12526341E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) -! + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C6H9(114) C 6H 9 G 100.000 5000.000 974.14 1 - 1.16266301E+01 2.76565377E-02-1.01259880E-05 1.93056321E-09-1.43342141E-13 2 - 9.24692046E+03-3.99968031E+01 2.32236037E+00 1.78606161E-02 7.88707001E-05 3 --1.09558747E-07 4.14503650E-11 1.33371803E+04 1.63370754E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + ring(Cyclopentene) + ring(Cyclopentene) -C12H18(115) C 12H 18 G 100.000 5000.000 982.68 1 - 2.58537483E+01 5.42751926E-02-2.04232601E-05 3.93295701E-09-2.92474477E-13 2 --8.88934905E+03-1.14148907E+02-9.06266139E-01 7.00284850E-02 9.77540966E-05 3 --1.72727837E-07 6.91981927E-11 8.68634248E+02 3.73750203E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) -! + group(Cds-CdsCsH) + ring(Cyclopentene) -C6H10(116) C 6H 10 G 100.000 5000.000 978.05 1 - 1.15904641E+01 3.01308647E-02-1.11359205E-05 2.10398666E-09-1.54285955E-13 2 --6.00680629E+03-3.84890689E+01 2.11758117E+00 2.31619608E-02 6.96574775E-05 3 --1.00753225E-07 3.83518295E-11-1.96752133E+03 1.81787044E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + ring(Cyclopentene) + ring(Cyclopentene) -C12H18(117) C 12H 18 G 100.000 5000.000 984.99 1 - 2.34227201E+01 5.70666034E-02-2.14134270E-05 4.04326449E-09-2.95019522E-13 2 --8.63092160E+03-9.97441357E+01-9.10744148E-01 7.46988053E-02 7.53684487E-05 3 --1.45139453E-07 5.88073709E-11 1.01018910E+02 3.72743169E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) -C6H8(118) C 6H 8 G 100.000 5000.000 962.95 1 - 1.33073959E+01 2.19368852E-02-7.42913585E-06 1.40172877E-09-1.05669590E-13 2 - 5.79963923E+03-4.79626161E+01 2.15945066E+00 2.20893500E-02 6.42297363E-05 3 --9.79840758E-08 3.86193478E-11 1.00865330E+04 1.65101316E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C10H14L(119) C 10H 14 G 100.000 5000.000 1495.48 1 - 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2 --9.56069375E+03-2.25478260E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3 - 8.42762141E-08-1.31948870E-11 9.27053982E+03 1.03609459E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C7H13R(120) C 7H 13 G 100.000 5000.000 1507.76 1 - 4.26488805E+01 1.22778875E-01-5.07176307E-05 9.22218519E-09-6.25137273E-13 2 --4.30709374E+04-1.77019000E+02-8.61227604E+00 2.58772114E-01-1.86011308E-04 3 - 6.90433914E-08-1.05440507E-11-2.76130738E+04 9.13354312E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C10H14L(121) C 10H 14 G 100.000 5000.000 1495.48 1 - 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2 --9.38456711E+03-2.25634258E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3 - 8.42762141E-08-1.31948870E-11 9.44666646E+03 1.03453461E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H14L(122) C 9H 14 G 100.000 5000.000 1346.86 1 - 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2 --9.64571507E+03-1.44742023E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3 - 8.84815507E-08-1.51162673E-11 3.06887128E+03 9.70311285E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_T) -C6H7(123) C 6H 7 G 100.000 5000.000 963.17 1 - 1.11737556E+01 2.27046249E-02-7.83542343E-06 1.44541622E-09-1.05964395E-13 2 - 2.31333127E+04-3.92489141E+01 2.34714354E+00 2.10575107E-02 5.43826228E-05 3 --8.29089667E-08 3.25062219E-11 2.66103109E+04 1.22263534E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) -C5H9LR(124) C 5H 9 G 100.000 5000.000 1434.27 1 - 5.90142172E+01 2.05865834E-01-8.73812972E-05 1.61394478E-08-1.10597737E-12 2 --4.42643583E+04-2.39430112E+02-1.55052599E+01 4.13689401E-01-3.04727000E-04 3 - 1.17163504E-07-1.87147796E-11-2.28879474E+04 1.46959886E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) -C6H8(125) C 6H 8 G 100.000 5000.000 962.95 1 - 1.33074613E+01 2.19367727E-02-7.42907043E-06 1.40171323E-09-1.05668295E-13 2 - 5.97573878E+03-4.81189815E+01 2.15943197E+00 2.20895778E-02 6.42289069E-05 3 --9.79829573E-08 3.86188530E-11 1.02626604E+04 1.63542003E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C7H11(126) C 7H 11 G 100.000 5000.000 974.77 1 - 1.40205617E+01 3.31707499E-02-1.20972427E-05 2.28317690E-09-1.68048100E-13 2 - 4.58684111E+03-5.23716732E+01 1.64178432E+00 3.04027633E-02 7.45883732E-05 3 --1.13375755E-07 4.39529550E-11 9.54494466E+03 2.00858024E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + radical(C=CC=CCJ) -C7H11(127) C 7H 11 G 100.000 5000.000 1011.64 1 - 1.32525188E+01 3.50663898E-02-1.32012045E-05 2.37832209E-09-1.64861385E-13 2 - 8.65365784E+03-4.12150901E+01 7.55848417E-01 5.99969458E-02-1.38676893E-05 3 --2.11034909E-08 1.15495134E-11 1.24347903E+04 2.54102146E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C8H13LR(128) C 8H 13 G 100.000 5000.000 1464.21 1 - 7.15635782E+01 2.09898576E-01-8.78350706E-05 1.61085255E-08-1.09897962E-12 2 --5.22204810E+04-3.08046133E+02-1.80116946E+01 4.54607381E-01-3.38528137E-04 3 - 1.30252379E-07-2.05881793E-11-2.59893710E+04 1.58258253E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C8H11LR(129) C 8H 11 G 100.000 5000.000 1497.66 1 - 7.42153730E+01 1.98672110E-01-8.18545556E-05 1.48800742E-08-1.00916500E-12 2 --3.90935997E+04-3.22225410E+02-1.79483170E+01 4.44821159E-01-3.28383399E-04 3 - 1.24617507E-07-1.93269569E-11-1.14870880E+04 1.59638185E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C7H10L(130) C 7H 10 G 100.000 5000.000 1593.18 1 - 4.79689964E+01 1.06330697E-01-4.29667230E-05 7.70068016E-09-5.16162636E-13 2 --1.03710937E+04-2.06252691E+02-8.65531391E+00 2.48497273E-01-1.76818257E-04 3 - 6.37108230E-08-9.30519932E-12 7.67147359E+03 9.32987024E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C6H10L(131) C 6H 10 G 100.000 5000.000 1612.05 1 - 4.63421917E+01 1.03840182E-01-4.10745917E-05 7.26908079E-09-4.83227622E-13 2 --2.45264616E+04-2.01304868E+02-8.31284910E+00 2.39455597E-01-1.67262911E-04 3 - 5.94542070E-08-8.57615397E-12-6.90502235E+03 8.84725896E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H14L(132) C 9H 14 G 100.000 5000.000 1346.86 1 - 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2 --9.46958843E+03-1.44898021E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3 - 8.84815507E-08-1.51162673E-11 3.24499792E+03 9.68751306E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H8R2(133) C 6H 8 G 100.000 5000.000 1501.37 1 - 7.28197778E+01 1.84640162E-01-7.59742187E-05 1.38080927E-08-9.36402016E-13 2 --4.73198683E+04-3.21266057E+02-1.70458284E+01 4.24064448E-01-3.15181371E-04 3 - 1.20025967E-07-1.86233262E-11-2.03357146E+04 1.48802450E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C8H11LR(134) C 8H 11 G 100.000 5000.000 1470.25 1 - 7.16120478E+01 2.04029187E-01-8.54283445E-05 1.56707602E-08-1.06911245E-12 2 --3.75472464E+04-3.07191758E+02-1.77092258E+01 4.47037851E-01-3.33353090E-04 3 - 1.28088662E-07-2.01844664E-11-1.12822079E+04 1.58159474E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C11H16L(135) C 11H 16 G 100.000 5000.000 1485.10 1 - 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2 --1.48400746E+04-2.30467907E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3 - 8.83766131E-08-1.39331740E-11 4.37746173E+03 1.07268953E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C11H16L(136) C 11H 16 G 100.000 5000.000 1485.10 1 - 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2 --1.46639480E+04-2.30623905E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3 - 8.83766131E-08-1.39331740E-11 4.55358837E+03 1.07112955E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C10H16R(137) C 10H 16 G 100.000 5000.000 1334.86 1 - 3.90329339E+01 1.49615226E-01-6.41215731E-05 1.19364359E-08-8.23677255E-13 2 --1.27620533E+04-1.47436821E+02-9.62725878E+00 2.95429574E-01-2.27975918E-04 3 - 9.37703163E-08-1.61500575E-11 2.28790976E+02 1.01374587E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) -C5H9LR(138) C 5H 9 G 100.000 5000.000 1434.27 1 - 5.90142172E+01 2.05865834E-01-8.73812972E-05 1.61394478E-08-1.10597737E-12 2 --4.42643583E+04-2.39430112E+02-1.55052599E+01 4.13689401E-01-3.04727000E-04 3 - 1.17163504E-07-1.87147796E-11-2.28879474E+04 1.46959886E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Tertalkyl) -C6H10L(139) C 6H 10 G 100.000 5000.000 1426.13 1 - 3.26722211E+01 1.26527801E-01-5.42423493E-05 1.00616145E-08-6.91006323E-13 2 --9.84472139E+03-1.19129285E+02-6.97114774E+00 2.37717304E-01-1.71189136E-04 3 - 6.47292488E-08-1.02740515E-11 1.46279701E+03 8.61997392E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C10H16R(140) C 10H 16 G 100.000 5000.000 1334.82 1 - 3.90325964E+01 1.49615802E-01-6.41219064E-05 1.19365148E-08-8.23683819E-13 2 --1.25857860E+04-1.47590922E+02-9.62729428E+00 2.95429897E-01-2.27976701E-04 3 - 9.37709861E-08-1.61502433E-11 4.04919502E+02 1.01218725E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C8H12L(141) C 8H 12 G 100.000 5000.000 1575.52 1 - 4.88850867E+01 1.13571731E-01-4.54537772E-05 8.11081958E-09-5.42647441E-13 2 --1.55525917E+04-2.10169439E+02-9.28774775E+00 2.61263026E-01-1.86065277E-04 3 - 6.76090794E-08-9.98366826E-12 2.77796007E+03 9.69255665E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C9H13LR(142) C 9H 13 G 100.000 5000.000 1463.47 1 - 7.27144077E+01 2.11014178E-01-8.77905578E-05 1.60550908E-08-1.09367449E-12 2 --4.28304712E+04-3.12200388E+02-1.83545186E+01 4.59925774E-01-3.42914554E-04 3 - 1.32273512E-07-2.09468463E-11-1.61750658E+04 1.61834790E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C7H11LR(143) C 7H 11 G 100.000 5000.000 1366.60 1 - 5.71234057E+01 2.23272346E-01-9.63136794E-05 1.79655011E-08-1.24001440E-12 2 --3.75217448E+04-2.24918181E+02-1.61970597E+01 4.37881904E-01-3.31875106E-04 3 - 1.32880515E-07-2.22623342E-11-1.74820385E+04 1.51709671E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds- -! Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + -! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclobutane) + radical(Cs_S) -C6H9LR(144) C 6H 9 G 100.000 5000.000 1639.17 1 - 8.68758316E+01 1.67384393E-01-6.67853618E-05 1.18689475E-08-7.90100066E-13 2 --4.43597602E+04-4.03211396E+02-1.81844923E+01 4.23758366E-01-3.01392056E-04 3 - 1.07285638E-07-1.53426656E-11-9.91735083E+03 1.55563891E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P) -C6H9L2(145) C 6H 9 G 100.000 5000.000 1494.75 1 - 7.42651992E+01 1.85696898E-01-7.60656698E-05 1.37975249E-08-9.34912962E-13 2 --4.53065748E+04-3.30241912E+02-1.74614688E+01 4.31163492E-01-3.22397447E-04 3 - 1.23664196E-07-1.93105651E-11-1.78852251E+04 1.49155466E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C7H11R2(146) C 7H 11 G 100.000 5000.000 1396.30 1 - 5.92438387E+01 2.19654288E-01-9.42932172E-05 1.75336995E-08-1.20725710E-12 2 --3.67317819E+04-2.36087130E+02-1.62884779E+01 4.36032317E-01-3.26740666E-04 3 - 1.28516043E-07-2.10780073E-11-1.56385836E+04 1.53527434E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Allyl_P) -C3H4L(147) C 3H 4 G 100.000 5000.000 1574.27 1 - 4.19518086E+01 8.29041870E-02-3.27292620E-05 5.80549667E-09-3.87209650E-13 2 --1.09016187E+04-1.81017153E+02-6.71700861E+00 2.06566688E-01-1.50559438E-04 3 - 5.57045735E-08-8.31148872E-12 4.42172509E+03 7.58665365E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Cs_S) -C7H9LR(148) C 7H 9 G 100.000 5000.000 1231.33 1 - 7.18406956E+01 1.90679269E-01-7.75570670E-05 1.41826528E-08-9.72489773E-13 2 --3.42030523E+04-3.12431650E+02-1.75415672E+01 4.12909522E-01-2.65281881E-04 3 - 7.08857194E-08-3.36185704E-12-7.02638292E+03 1.58358714E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! ring(Cyclopropane) + radical(Tertalkyl) -L[C]1CC1(149) C 3H 4 G 100.000 5000.000 1685.03 1 - 4.01559263E+01 8.49301161E-02-3.37777931E-05 5.97136371E-09-3.95439256E-13 2 --2.15998264E+03-1.71713050E+02-6.05209622E+00 1.94620858E-01-1.31423653E-04 3 - 4.46040738E-08-6.12719644E-12 1.34123897E+04 7.53245007E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + -! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_5_ane) + -! radical(2-norbornyl) -C7H9LR(150) C 7H 9 G 100.000 5000.000 1210.88 1 - 6.87933891E+01 1.97123553E-01-8.14140762E-05 1.50252134E-08-1.03644816E-12 2 --3.32171015E+04-3.05464744E+02-1.69802717E+01 4.00599868E-01-2.34536886E-04 3 - 4.48574793E-08 4.05069644E-12-6.58965220E+03 1.48933385E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclohexene) + radical(Cs_S) -C7H9LR(151) C 7H 9 G 100.000 5000.000 1649.95 1 - 8.69707212E+01 1.70295215E-01-6.75455990E-05 1.19555254E-08-7.93532660E-13 2 --4.44419389E+04-4.03487615E+02-1.83133668E+01 4.25536131E-01-2.99588944E-04 3 - 1.05712896E-07-1.49995713E-11-9.69911045E+03 1.57168130E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Allyl_S) -C7H9L2(152) C 7H 9 G 100.000 5000.000 1485.40 1 - 7.26899076E+01 1.92566257E-01-7.99621565E-05 1.46047290E-08-9.93636006E-13 2 --3.37172865E+04-3.15005791E+02-1.73900850E+01 4.35142056E-01-3.24923675E-04 3 - 1.24547263E-07-1.94976048E-11-6.95647987E+03 1.55220792E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C7H12R(153) C 7H 12 G 100.000 5000.000 1406.20 1 - 3.34299144E+01 1.35154598E-01-5.81548588E-05 1.08128113E-08-7.43941748E-13 2 --1.29021953E+04-1.21150066E+02-7.54745328E+00 2.51716243E-01-1.82491334E-04 3 - 6.97594321E-08-1.12236826E-11-1.37768627E+03 9.05109847E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_4_6_ane) + -! radical(bicyclo[3.1.1]heptane-C2) -C7H9LR(154) C 7H 9 G 100.000 5000.000 1255.40 1 - 7.07846220E+01 1.94277815E-01-7.99183991E-05 1.46613840E-08-1.00532462E-12 2 --2.98530904E+04-3.15892529E+02-1.72197799E+01 4.06008097E-01-2.50848725E-04 3 - 6.18583276E-08-1.72677567E-12-2.34549686E+03 1.50247582E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Tertalkyl) -CC[C](C)L(155) C 4H 8 G 100.000 5000.000 1457.31 1 - 2.99081782E+01 1.17037819E-01-4.99520207E-05 9.23274549E-09-6.32174453E-13 2 --1.86730883E+04-1.08922880E+02-5.94694362E+00 2.15453287E-01-1.51251402E-04 3 - 5.55739915E-08-8.58204187E-12-8.22278178E+03 7.75597786E+01 4 - -! Thermo library: DFT_QCI_thermo -C4H7(156) C 4H 7 G 100.000 5000.000 959.24 1 - 9.15900791E+00 1.76137069E-02-5.93412855E-06 1.07300071E-09-7.76276457E-14 2 - 1.24900957E+04-2.37825759E+01 2.71573512E+00 1.74370364E-02 3.66329505E-05 3 --5.79025427E-08 2.29528333E-11 1.49704918E+04 1.35200268E+01 4 - -! Thermo library: DFT_QCI_thermo -C4H8(157) C 4H 8 G 100.000 5000.000 1061.32 1 - 6.48662707E+00 2.49945576E-02-9.83292552E-06 1.79345487E-09-1.24010033E-13 2 --5.62447990E+03-1.00310762E+01 2.52506663E+00 2.64750580E-02 7.08434400E-06 3 --2.07740871E-08 8.00468445E-12-4.02607212E+03 1.28856593E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) + -! radical(Tertalkyl) -C[C]1CC1(158) C 4H 7 G 100.000 5000.000 1002.20 1 - 5.32395695E+00 2.34978834E-02-9.10174422E-06 1.68911624E-09-1.19703327E-13 2 - 2.19497318E+04-2.76294733E+00 3.11404018E+00 1.12054114E-02 4.08960921E-05 3 --5.25897787E-08 1.86637438E-11 2.34529734E+04 1.31932739E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(RCCJC) -C9H15(159) C 9H 15 G 100.000 5000.000 1040.92 1 - 1.37582247E+01 5.26150125E-02-2.09344106E-05 3.87939848E-09-2.72309480E-13 2 - 7.09348987E+03-4.21227684E+01 1.80278965E-01 6.73693055E-02 1.17306473E-05 3 --5.15786450E-08 2.13420223E-11 1.19476047E+04 3.36659908E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) -! + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C6H9(160) C 6H 9 G 100.000 5000.000 974.14 1 - 1.16266301E+01 2.76565377E-02-1.01259880E-05 1.93056321E-09-1.43342141E-13 2 - 9.24692046E+03-4.06899503E+01 2.32236037E+00 1.78606161E-02 7.88707001E-05 3 --1.09558747E-07 4.14503650E-11 1.33371803E+04 1.56439283E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ) -C6H9(161) C 6H 9 G 100.000 5000.000 965.68 1 - 1.28510967E+01 2.59262393E-02-8.99807593E-06 1.59780591E-09-1.12282111E-13 2 - 1.31756193E+04-4.12583548E+01 1.45422324E+00 4.38205961E-02 8.73921362E-06 3 --4.20813869E-08 1.93334356E-11 1.67435503E+04 2.04037692E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C8H11L2(162) C 8H 11 G 100.000 5000.000 1478.21 1 - 7.37799475E+01 1.99566953E-01-8.23314320E-05 1.49904033E-08-1.01829018E-12 2 --3.89933269E+04-3.19941328E+02-1.80334698E+01 4.48011909E-01-3.34438768E-04 3 - 1.28689827E-07-2.02475387E-11-1.18494356E+04 1.58888912E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) -C6H10(163) C 6H 10 G 100.000 5000.000 1029.51 1 - 1.11942090E+01 3.14218941E-02-1.24028523E-05 2.30466309E-09-1.62630970E-13 2 - 4.43828914E+03-3.01755166E+01 1.48891665E+00 4.41328285E-02 5.49889700E-06 3 --3.28729863E-08 1.41070320E-11 7.76134868E+03 2.33629305E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C8H12L(164) C 8H 12 G 100.000 5000.000 1531.10 1 - 4.61267961E+01 1.19097479E-01-4.90892540E-05 8.91035115E-09-6.02990470E-13 2 --1.39040554E+04-1.94195117E+02-9.01284110E+00 2.63148592E-01-1.90213163E-04 3 - 7.03575459E-08-1.06360824E-11 2.98094898E+03 9.53109683E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H8R2(165) C 6H 8 G 100.000 5000.000 1502.08 1 - 7.12740132E+01 1.87187010E-01-7.74933957E-05 1.41231769E-08-9.59129156E-13 2 --4.71832447E+04-3.07718612E+02-1.67989488E+01 4.21724249E-01-3.11707089E-04 3 - 1.18074552E-07-1.82604580E-11-2.07248566E+04 1.53014613E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H14L(166) C 9H 14 G 100.000 5000.000 1346.86 1 - 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2 --9.46958843E+03-1.44898021E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3 - 8.84815507E-08-1.51162673E-11 3.24499792E+03 9.68751306E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C10H14L(167) C 10H 14 G 100.000 5000.000 1495.48 1 - 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2 --9.38456711E+03-2.25634258E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3 - 8.42762141E-08-1.31948870E-11 9.44666646E+03 1.03453461E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C11H16L(168) C 11H 16 G 100.000 5000.000 1485.10 1 - 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2 --1.46639480E+04-2.30623905E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3 - 8.83766131E-08-1.39331740E-11 4.55358837E+03 1.07112955E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C6H10L(169) C 6H 10 G 100.000 5000.000 1529.80 1 - 4.04911446E+01 1.13439112E-01-4.63703563E-05 8.37545777E-09-5.65100569E-13 2 --2.36792728E+04-1.69051442E+02-7.78696588E+00 2.39672865E-01-1.70145087E-04 3 - 6.23148402E-08-9.37987528E-12-8.90809851E+03 8.43873572E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C6H9L2(170) C 6H 9 G 100.000 5000.000 1384.90 1 - 5.81897623E+01 2.11762078E-01-9.07943772E-05 1.68826818E-08-1.16289105E-12 2 --3.36614265E+04-2.32619321E+02-1.58327151E+01 4.25560444E-01-3.22361241E-04 3 - 1.28354717E-07-2.12856124E-11-1.31586424E+04 1.48600268E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C6H10R(171) C 6H 10 G 100.000 5000.000 1573.62 1 - 4.76628260E+01 1.02575251E-01-4.08270920E-05 7.26974016E-09-4.85898462E-13 2 --2.23936871E+04-2.06105035E+02-8.61089455E+00 2.45617513E-01-1.77176852E-04 3 - 6.50343534E-08-9.66289627E-12-4.68294027E+03 9.08966228E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + -! group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs- -! CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds- -! Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclobutane) + radical(Cs_S) -C7H11LR(172) C 7H 11 G 100.000 5000.000 1646.35 1 - 9.30363898E+01 1.68591445E-01-6.71528082E-05 1.19222893E-08-7.92916565E-13 2 --5.11707860E+04-4.38129888E+02-1.93002260E+01 4.41526810E-01-3.15826337E-04 3 - 1.12619348E-07-1.60838951E-11-1.41817641E+04 1.59835801E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) -C5H8(173) C 5H 8 G 100.000 5000.000 972.32 1 - 1.12869585E+01 2.12415356E-02-7.50356283E-06 1.36179013E-09-9.72223411E-14 2 - 3.98422876E+03-3.40141560E+01 2.00726044E+00 3.28460799E-02 1.55848957E-05 3 --4.25736996E-08 1.84255692E-11 7.04482003E+03 1.69534228E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + radical(C=CC=CCJ) -C5H7(174) C 5H 7 G 100.000 5000.000 942.06 1 - 1.19107369E+01 1.73602909E-02-5.09246041E-06 8.77863236E-10-6.40277816E-14 2 - 1.78996358E+04-3.71210253E+01 2.29865578E+00 2.38040922E-02 3.93719563E-05 3 --6.93151290E-08 2.88406859E-11 2.12357622E+04 1.67724689E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + radical(Allyl_S) -C9H12L(175) C 9H 12 G 100.000 5000.000 1545.38 1 - 5.38832749E+01 1.10095545E-01-4.38028868E-05 7.81603886E-09-5.23813983E-13 2 --5.85150672E+03-2.35600362E+02-1.02156849E+01 2.76003541E-01-2.04835901E-04 3 - 7.72832730E-08-1.17614862E-11 1.39603251E+04 1.01541645E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C8H12L(176) C 8H 12 G 100.000 5000.000 1405.78 1 - 3.93426893E+01 1.29195310E-01-5.45170272E-05 1.00559132E-08-6.89304960E-13 2 --5.71470167E+03-1.52867099E+02-8.55842178E+00 2.65493527E-01-1.99951056E-04 3 - 7.90257778E-08-1.29547689E-11 7.75292237E+03 9.45426066E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H14R(177) C 9H 14 G 100.000 5000.000 1391.21 1 - 4.01789833E+01 1.37697249E-01-5.83609214E-05 1.07914600E-08-7.40975973E-13 2 --8.80837504E+03-1.55336318E+02-9.13267484E+00 2.79476736E-01-2.11226062E-04 3 - 8.40437158E-08-1.39042770E-11 4.91231015E+03 9.88457471E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! ring(Cyclopentene) + radical(cyclopentene-allyl) -C5H7(178) C 5H 7 G 100.000 5000.000 958.30 1 - 1.06732302E+01 1.91104672E-02-6.23089372E-06 1.21294384E-09-9.52704457E-14 2 - 1.41532644E+04-3.66338422E+01 3.16106503E+00-2.07890212E-03 1.09184979E-04 3 --1.36298100E-07 5.07057388E-11 1.80057603E+04 1.18765966E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene) -C10H14(179) C 10H 14 G 100.000 5000.000 972.12 1 - 2.20868855E+01 3.98902881E-02-1.41372886E-05 2.64619696E-09-1.94952149E-13 2 - 7.35957837E+03-8.86137827E+01-1.59646304E-01 6.38821858E-02 5.30682558E-05 3 --1.14919047E-07 4.84209597E-11 1.48764526E+04 3.44995922E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! ring(Cyclopentene) -C5H8(180) C 5H 8 G 100.000 5000.000 960.77 1 - 1.06215433E+01 2.16107521E-02-7.25561897E-06 1.38983131E-09-1.06499697E-13 2 --1.09380084E+03-3.50384683E+01 2.95818807E+00 3.20109787E-03 1.00039791E-04 3 --1.27568149E-07 4.76324834E-11 2.70097652E+03 1.37113449E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_T) -C11H17(181) C 11H 17 G 100.000 5000.000 1074.31 1 - 2.04738219E+01 5.58913309E-02-2.18913713E-05 3.98483210E-09-2.75549478E-13 2 - 1.24695255E+04-7.41964773E+01-1.69371394E+00 1.08333563E-01-5.30938552E-05 3 --2.72802028E-09 7.35462461E-12 1.89691467E+04 4.24207115E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) -! + group(Cds-CdsHH) + radical(Allyl_T) -C10H14L(182) C 10H 14 G 100.000 5000.000 1532.83 1 - 5.49223871E+01 1.17159067E-01-4.61994520E-05 8.20671745E-09-5.48797917E-13 2 --1.10969149E+04-2.40232162E+02-1.08510352E+01 2.88798516E-01-2.14163003E-04 3 - 8.12584412E-08-1.24633345E-11 9.06694894E+03 1.05179340E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_S) -C10H15(183) C 10H 15 G 100.000 5000.000 1079.64 1 - 1.93359625E+01 4.89443854E-02-1.95427490E-05 3.60236890E-09-2.51062956E-13 2 - 1.77761363E+04-6.89724375E+01-1.07445511E+00 9.57406104E-02-4.45140052E-05 3 --5.70544316E-09 7.63002290E-12 2.38631730E+04 3.88397078E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C10H14(184) C 10H 14 G 100.000 5000.000 991.15 1 - 2.28371427E+01 3.95055042E-02-1.44797191E-05 2.64412625E-09-1.87708856E-13 2 - 1.34606628E+04-8.79939244E+01-1.11259971E+00 9.32509010E-02-3.08798907E-05 3 --3.00029397E-08 1.90639046E-11 2.03158745E+04 3.79691757E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + radical(Allyl_P) -C9H12L(185) C 9H 12 G 100.000 5000.000 1522.23 1 - 5.57700469E+01 1.06918468E-01-4.18891200E-05 7.42887524E-09-4.96754006E-13 2 --6.07889558E+03-2.47026464E+02-1.06159955E+01 2.81365287E-01-2.13790988E-04 3 - 8.27151171E-08-1.28614064E-11 1.41317642E+04 1.01140659E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclopentene) + -! ring(Cyclopentene) -C10H14(186) C 10H 14 G 100.000 5000.000 964.35 1 - 2.14267523E+01 4.01236006E-02-1.37082318E-05 2.62792929E-09-2.00516234E-13 2 - 1.22003850E+03-9.11284167E+01 7.78174326E-01 3.46897031E-02 1.36417141E-04 3 --1.99096081E-07 7.74851599E-11 9.43768200E+03 2.96980761E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + ring(Cyclopentadiene) -C5H6(187) C 5H 6 G 100.000 5000.000 948.18 1 - 1.23881847E+01 1.33340944E-02-3.50190977E-06 6.76618448E-10-5.69827255E-14 2 - 1.06911695E+04-4.47929654E+01 2.99614574E+00 2.16863044E-03 9.45058637E-05 3 --1.24723397E-07 4.79009709E-11 1.47552013E+04 1.20571415E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C11H18L(188) C 11H 18 G 100.000 5000.000 1394.00 1 - 4.42329071E+01 1.50531351E-01-6.35699098E-05 1.17335011E-08-8.04827720E-13 2 --1.62996673E+04-1.74277896E+02-1.05039558E+01 3.07597518E-01-2.32581565E-04 3 - 9.25626765E-08-1.53009188E-11-1.03922413E+03 1.07977474E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(1,3-cyclopentadiene-allyl) -C5H5(189) C 5H 5 G 100.000 5000.000 1071.07 1 - 7.36867927E+00 1.95181731E-02-7.32840065E-06 1.29022848E-09-8.70708319E-14 2 - 2.94179776E+04-1.82002343E+01 2.41059785E+00 3.07885943E-02-1.29644745E-05 3 --1.51805464E-09 2.04273365E-12 3.08956891E+04 8.00027680E+00 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! radical(Allyl_T) -C9H14L(190) C 9H 14 G 100.000 5000.000 1516.70 1 - 4.71381127E+01 1.26211669E-01-5.15162638E-05 9.30841048E-09-6.28597328E-13 2 --1.91392614E+04-1.98673086E+02-9.65299460E+00 2.75986383E-01-1.99641115E-04 3 - 7.44164829E-08-1.13604084E-11-1.91216193E+03 9.89670513E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(RCCJC) -C8H13(191) C 8H 13 G 100.000 5000.000 1203.34 1 - 1.47464804E+01 4.17814878E-02-1.63337603E-05 2.92047258E-09-1.97661588E-13 2 - 1.75575661E+04-4.35427658E+01-3.29354712E-02 7.78496654E-02-4.50142917E-05 3 - 9.79072269E-09 2.48796526E-13 2.20600397E+04 3.44238901E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C12H20R(192) C 12H 20 G 100.000 5000.000 1381.69 1 - 4.50779530E+01 1.59022181E-01-6.74088651E-05 1.24681241E-08-8.56436772E-13 2 --1.93984235E+04-1.76799052E+02-1.10801269E+01 3.21599383E-01-2.43906264E-04 3 - 9.76278891E-08-1.62649901E-11-3.87974119E+03 1.12287800E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! radical(Allyl_S) -C7H12L(193) C 7H 12 G 100.000 5000.000 1609.53 1 - 4.93334794E+01 1.09630835E-01-4.38911312E-05 7.82021827E-09-5.22006233E-13 2 --2.71572047E+04-2.15467826E+02-9.03961191E+00 2.54697089E-01-1.79083248E-04 3 - 6.38158079E-08-9.21936817E-12-8.36624432E+03 9.39317844E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C8H12(194) C 8H 12 G 100.000 5000.000 1005.34 1 - 1.70020967E+01 3.54849559E-02-1.34528013E-05 2.47698827E-09-1.75377216E-13 2 - 8.95578776E+03-5.83139705E+01 1.86691312E-01 6.87130409E-02-1.27840820E-05 3 --3.12859442E-08 1.65061512E-11 1.40386716E+04 3.13642191E+01 4 - -! Thermo library: DFT_QCI_thermo -[CH2]CC(195) C 3H 7 G 100.000 5000.000 984.47 1 - 6.16546759E+00 1.84494011E-02-6.79026009E-06 1.23048391E-09-8.63859567E-14 2 - 9.09504607E+03-6.67625398E+00 3.02814630E+00 1.47024434E-02 2.40505868E-05 3 --3.66733206E-08 1.38609152E-11 1.05120551E+04 1.24699044E+01 4 - -! Thermo library: DFT_QCI_thermo -C2H4(196) C 2H 4 G 100.000 5000.000 946.00 1 - 4.59009997E+00 8.72743880E-03-2.66505596E-06 4.81739733E-10-3.60714734E-14 2 - 4.12706951E+03-3.32389917E+00 3.98879754E+00-6.74758829E-03 5.04415006E-05 3 --5.70767559E-08 2.04955418E-11 5.04704590E+03 3.80480675E+00 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclobutane) + radical(Allyl_P) -C8H13(197) C 8H 13 G 100.000 5000.000 970.69 1 - 1.79004739E+01 3.66915753E-02-1.30521082E-05 2.44964497E-09-1.80786258E-13 2 - 1.41614140E+04-6.84661489E+01 8.41225687E-01 4.41142146E-02 7.26376883E-05 3 --1.23130972E-07 4.93483604E-11 2.04354146E+04 2.85853573E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) -! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJ) -C8H13(198) C 8H 13 G 100.000 5000.000 1323.84 1 - 1.18028230E+01 4.82583544E-02-2.05920925E-05 3.81959521E-09-2.62864352E-13 2 - 2.08430806E+04-2.83011781E+01 2.64796049E-01 8.31206263E-02-6.00933655E-05 3 - 2.37118485E-08-4.01940538E-12 2.38979834E+04 3.05999805E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C7H12R(199) C 7H 12 G 100.000 5000.000 1508.93 1 - 4.12147126E+01 1.22076722E-01-5.02711133E-05 9.12095015E-09-6.17388426E-13 2 --2.67041835E+04-1.70846107E+02-8.33790987E+00 2.53435095E-01-1.80852159E-04 3 - 6.68135362E-08-1.01759191E-11-1.17499032E+04 8.86026158E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C10H14(200) C 10H 14 G 100.000 5000.000 1151.30 1 - 2.04738303E+01 4.43034588E-02-1.74184670E-05 3.15355505E-09-2.16221303E-13 2 - 1.65347593E+04-7.48294431E+01-1.29786777E+00 1.02344781E-01-7.01072277E-05 3 - 2.03843754E-08-1.07434344E-12 2.27143887E+04 3.83398029E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) -C10H12(201) C 10H 12 G 100.000 5000.000 982.78 1 - 2.15240451E+01 3.64079696E-02-1.33173593E-05 2.47810081E-09-1.79646187E-13 2 - 1.99552708E+04-8.64223784E+01-3.77908067E-01 7.47113570E-02 5.81616360E-06 3 --6.31376451E-08 2.99014141E-11 2.67154150E+04 3.13524570E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene) + -! radical(cyclopentene-allyl) -C10H13(202) C 10H 13 G 100.000 5000.000 971.45 1 - 2.19106432E+01 3.78859187E-02-1.34304196E-05 2.53413838E-09-1.88247492E-13 2 - 2.25450285E+04-8.90045123E+01 4.70184308E-02 5.88375953E-02 6.08739210E-05 3 --1.21651888E-07 5.06071242E-11 3.00521460E+04 3.26167221E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! radical(Tertalkyl) -C5H9L2(203) C 5H 9 G 100.000 5000.000 1409.42 1 - 5.75844383E+01 2.08435925E-01-8.89718527E-05 1.64921748E-08-1.13318181E-12 2 --4.48488899E+04-2.32364986E+02-1.54503176E+01 4.15711933E-01-3.09568931E-04 3 - 1.20836289E-07-1.96415201E-11-2.42615556E+04 1.45049453E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentene) -C11H16(204) C 11H 16 G 100.000 5000.000 986.99 1 - 2.31244916E+01 4.82952520E-02-1.79518562E-05 3.34493969E-09-2.41467168E-13 2 - 2.41717448E+03-9.31452233E+01-1.01050121E+00 8.39609339E-02 2.22932006E-05 3 --8.76344151E-08 3.89622832E-11 1.02083964E+04 3.83107047E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + radical(Allyl_P) -C10H14L(205) C 10H 14 G 100.000 5000.000 1476.34 1 - 5.44251374E+01 1.18978602E-01-4.76564111E-05 8.56307280E-09-5.77821952E-13 2 --9.87429303E+03-2.35552087E+02-1.09954465E+01 2.96229182E-01-2.27747482E-04 3 - 8.98862205E-08-1.43488844E-11 9.44232773E+03 1.05550105E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P) -C7H11LR(206) C 7H 11 G 100.000 5000.000 1484.97 1 - 7.50664540E+01 1.94221644E-01-7.99086287E-05 1.45305482E-08-9.86237083E-13 2 --4.83714428E+04-3.32487493E+02-1.80150560E+01 4.44952338E-01-3.33178107E-04 3 - 1.28234534E-07-2.01287871E-11-2.07269057E+04 1.53380530E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) -C8H9R(207) C 8H 9 G 100.000 5000.000 1198.83 1 - 4.47061178E+01 1.11672420E-01-4.55194077E-05 8.36172030E-09-5.76124061E-13 2 --9.80493582E+03-1.90568205E+02-8.83552828E+00 2.45925574E-01-1.57954435E-04 3 - 3.99982700E-08-7.32208697E-13 6.22263468E+03 9.07538764E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Tertalkyl) -C8H11LR(208) C 8H 11 G 100.000 5000.000 1614.27 1 - 8.32650882E+01 1.83311208E-01-7.28847506E-05 1.29400072E-08-8.61841171E-13 2 --4.48844820E+04-3.77252704E+02-1.84691867E+01 4.35400493E-01-3.07131055E-04 3 - 1.09680566E-07-1.58440449E-11-1.20394122E+04 1.62274396E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds- -! Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds- -! Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! polycyclic(s3_5_5_ane) + radical(2-norbornyl) -C8H11LR(209) C 8H 11 G 100.000 5000.000 1191.39 1 - 7.19795452E+01 2.02860818E-01-8.41894067E-05 1.56135398E-08-1.08159971E-12 2 --3.85839603E+04-3.23272375E+02-1.77878042E+01 4.15112442E-01-2.39197705E-04 3 - 3.95550000E-08 7.07163500E-12-1.08683546E+04 1.52072138E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentene) + -! radical(cyclopentene-allyl) -C10H13(210) C 10H 13 G 100.000 5000.000 1005.32 1 - 1.82322783E+01 4.48183287E-02-1.75591032E-05 3.31769270E-09-2.39068149E-13 2 - 2.62063943E+04-6.90631811E+01-7.92240758E-03 6.65148994E-02 2.59810146E-05 3 --7.58957436E-08 3.19778728E-11 3.24449079E+04 3.18192755E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentene) -C11H16(211) C 11H 16 G 100.000 5000.000 983.65 1 - 2.55496927E+01 4.55136981E-02-1.69673527E-05 3.23596636E-09-2.39032555E-13 2 - 2.16121353E+03-1.08210302E+02-1.00478053E+00 7.92758375E-02 4.47307763E-05 3 --1.15289870E-07 4.93813471E-11 1.09759584E+04 3.77138148E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclohexene) + radical(Cs_S) -C7H9LR(212) C 7H 9 G 100.000 5000.000 1649.95 1 - 8.69707212E+01 1.70295215E-01-6.75455990E-05 1.19555254E-08-7.93532660E-13 2 --4.44419389E+04-4.03487615E+02-1.83133668E+01 4.25536131E-01-2.99588944E-04 3 - 1.05712896E-07-1.49995713E-11-9.69911045E+03 1.57168130E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C8H11R(213) C 8H 11 G 100.000 5000.000 1541.66 1 - 5.19868002E+01 1.05673024E-01-4.18410630E-05 7.45100594E-09-4.98891682E-13 2 --1.91924927E+04-2.25764301E+02-9.70598873E+00 2.65741126E-01-1.97583317E-04 3 - 7.47991446E-08-1.14202337E-11-1.70588140E+02 9.85722104E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! radical(Allyl_S) -C8H14R(214) C 8H 14 G 100.000 5000.000 1588.81 1 - 4.99988084E+01 1.18319505E-01-4.78035624E-05 8.56563715E-09-5.74122209E-13 2 --3.01385541E+04-2.16899802E+02-9.57277671E+00 2.68297691E-01-1.89398688E-04 3 - 6.79792542E-08-9.92290243E-12-1.12090078E+04 9.80793040E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + -! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_5_ane) + -! radical(2-norbornyl) -C7H9LR(215) C 7H 9 G 100.000 5000.000 1210.88 1 - 6.87933891E+01 1.97123553E-01-8.14140762E-05 1.50252134E-08-1.03644816E-12 2 --3.32171015E+04-3.05464744E+02-1.69802717E+01 4.00599868E-01-2.34536886E-04 3 - 4.48574793E-08 4.05069644E-12-6.58965220E+03 1.48933385E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C8H13R2(216) C 8H 13 G 100.000 5000.000 1357.94 1 - 5.79653114E+01 2.31776676E-01-1.00163630E-04 1.87032561E-08-1.29191566E-12 2 --4.06222361E+04-2.27427518E+02-1.67799832E+01 4.51948211E-01-3.43367090E-04 3 - 1.38100915E-07-2.32732039E-11-2.03222130E+04 1.56045414E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Cs_S) -C7H9LR(217) C 7H 9 G 100.000 5000.000 1231.33 1 - 7.18406956E+01 1.90679269E-01-7.75570670E-05 1.41826528E-08-9.72489773E-13 2 --3.42030523E+04-3.12431650E+02-1.75415672E+01 4.12909522E-01-2.65281881E-04 3 - 7.08857194E-08-3.36185704E-12-7.02638292E+03 1.58358714E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Allyl_S) -C7H9LR(218) C 7H 9 G 100.000 5000.000 1505.57 1 - 7.31595925E+01 1.91621995E-01-7.94601354E-05 1.44890057E-08-9.84095914E-13 2 --3.38353104E+04-3.17488975E+02-1.73064689E+01 4.31966551E-01-3.18909761E-04 3 - 1.20514795E-07-1.85892625E-11-6.59405836E+03 1.55975790E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + radical(Allyl_P) -C3H4L(219) C 3H 4 G 100.000 5000.000 1617.17 1 - 4.26862363E+01 8.16269168E-02-3.20789189E-05 5.66174589E-09-3.75757549E-13 2 --1.11768129E+04-1.85074950E+02-6.66621560E+00 2.03694766E-01-1.45299431E-04 3 - 5.23348216E-08-7.59080173E-12 4.78588016E+03 7.67460619E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C4H5R(220) C 4H 5 G 100.000 5000.000 1202.61 1 - 3.92568879E+01 9.24026354E-02-3.70827523E-05 6.75722158E-09-4.63497728E-13 2 --1.64497691E+04-1.62808037E+02-7.05652185E+00 2.12585949E-01-1.44752777E-04 3 - 4.30319946E-08-3.13736874E-12-2.86188191E+03 7.93519034E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(RCCJ) -C7H9(221) C 7H 9 G 100.000 5000.000 993.43 1 - 1.35440410E+01 2.91177540E-02-1.10809479E-05 2.07600747E-09-1.49609949E-13 2 - 2.84448207E+04-4.58600381E+01 1.37492223E+00 4.29835310E-02 2.10300852E-05 3 --5.50715079E-08 2.31902242E-11 3.25962853E+04 2.14941760E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + radical(Allyl_S) -C9H12R(222) C 9H 12 G 100.000 5000.000 1545.38 1 - 5.38832749E+01 1.10095545E-01-4.38028868E-05 7.81603886E-09-5.23813983E-13 2 --5.85150672E+03-2.35600362E+02-1.02156849E+01 2.76003541E-01-2.04835901E-04 3 - 7.72832730E-08-1.17614862E-11 1.39603251E+04 1.01541645E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Tertalkyl) -C9H15(223) C 9H 15 G 100.000 5000.000 1508.70 1 - 1.57027514E+01 5.06794893E-02-2.07409670E-05 3.74788481E-09-2.52993950E-13 2 - 1.25675563E+04-4.89739041E+01-4.39444155E-01 9.34773697E-02-6.32923016E-05 3 - 2.25506444E-08-3.36873436E-12 1.74382737E+04 3.55412145E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P) -C4H6R(224) C 4H 6 G 100.000 5000.000 1552.31 1 - 4.27061368E+01 9.14705482E-02-3.65819635E-05 6.53853638E-09-4.38400679E-13 2 --1.39317228E+04-1.82970947E+02-7.25476491E+00 2.20210371E-01-1.60983807E-04 3 - 5.99652187E-08-9.04280607E-12 1.57919926E+03 8.00314101E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsHH) + ring(Cyclopropane) + radical(Tertalkyl) -RC[C]1CC1(225) C 4H 6 G 100.000 5000.000 1653.47 1 - 4.06842891E+01 9.37896347E-02-3.77660283E-05 6.73109869E-09-4.48533682E-13 2 --5.05887061E+03-1.72328916E+02-6.57312693E+00 2.08111969E-01-1.41476704E-04 3 - 4.85462165E-08-6.77082427E-12 1.05689654E+04 7.94257031E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(Cyclopentene) + radical(cyclopentene-allyl) -C11H15(226) C 11H 15 G 100.000 5000.000 1034.15 1 - 1.94979866E+01 5.28497533E-02-2.11640770E-05 3.96791990E-09-2.81620650E-13 2 - 2.11634009E+04-7.48878365E+01-8.75537271E-01 8.67644715E-02-5.24765899E-06 3 --4.82647798E-08 2.24918257E-11 2.77775928E+04 3.56921059E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + radical(Tertalkyl) -C9H14R(227) C 9H 14 G 100.000 5000.000 1421.10 1 - 4.25605212E+01 1.33533286E-01-5.58878675E-05 1.02641603E-08-7.01654889E-13 2 --1.05173117E+04-1.70038167E+02-9.35993254E+00 2.79673538E-01-2.10140467E-04 3 - 8.26265021E-08-1.34315259E-11 4.23965489E+03 9.86949537E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C9H13LR(228) C 9H 13 G 100.000 5000.000 1468.82 1 - 7.45842925E+01 2.08093510E-01-8.61781085E-05 1.57247374E-08-1.06974866E-12 2 --4.20622486E+04-3.22209415E+02-1.85910238E+01 4.61837432E-01-3.45310492E-04 3 - 1.33340415E-07-2.10886392E-11-1.46909067E+04 1.63129027E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentene) -C11H16(229) C 11H 16 G 100.000 5000.000 986.99 1 - 2.31244916E+01 4.82952520E-02-1.79518562E-05 3.34493969E-09-2.41467168E-13 2 - 2.41717448E+03-9.31452233E+01-1.01050121E+00 8.39609339E-02 2.22932006E-05 3 --8.76344151E-08 3.89622832E-11 1.02083964E+04 3.83107047E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) -C7H10L(230) C 7H 10 G 100.000 5000.000 1459.75 1 - 3.99238723E+01 1.18165392E-01-4.91150457E-05 8.97665349E-09-6.11257797E-13 2 --2.03944754E+03-1.57409076E+02-8.05509303E+00 2.49637492E-01-1.84212632E-04 3 - 7.06757867E-08-1.11780168E-11 1.19679722E+04 9.22103355E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(RCCJC) -C9H15(231) C 9H 15 G 100.000 5000.000 1040.92 1 - 1.37582247E+01 5.26150125E-02-2.09344106E-05 3.87939848E-09-2.72309480E-13 2 - 7.09348987E+03-4.21227684E+01 1.80278965E-01 6.73693055E-02 1.17306473E-05 3 --5.15786450E-08 2.13420223E-11 1.19476047E+04 3.36659908E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C10H16R(232) C 10H 16 G 100.000 5000.000 1334.82 1 - 3.90325964E+01 1.49615802E-01-6.41219064E-05 1.19365148E-08-8.23683819E-13 2 --1.25857860E+04-1.47590922E+02-9.62729428E+00 2.95429897E-01-2.27976701E-04 3 - 9.37709861E-08-1.61502433E-11 4.04919502E+02 1.01218725E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(Cyclopentene) + radical(cyclopentene-allyl) -C11H15(233) C 11H 15 G 100.000 5000.000 1034.15 1 - 1.94979866E+01 5.28497533E-02-2.11640770E-05 3.96791990E-09-2.81620650E-13 2 - 2.11634009E+04-7.48878365E+01-8.75537271E-01 8.67644715E-02-5.24765899E-06 3 --4.82647798E-08 2.24918257E-11 2.77775928E+04 3.56921059E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentene) + radical(cyclopentene-allyl) -C11H15(234) C 11H 15 G 100.000 5000.000 983.43 1 - 2.31441610E+01 4.58485990E-02-1.69577291E-05 3.17522341E-09-2.30829202E-13 2 - 1.76779576E+04-9.45598496E+01-8.03031207E-01 7.86283442E-02 3.16122200E-05 3 --9.65697314E-08 4.21119308E-11 2.55129822E+04 3.64594036E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_P) -C10H15(235) C 10H 15 G 100.000 5000.000 1007.01 1 - 2.18354351E+01 4.45130955E-02-1.68553175E-05 3.09441436E-09-2.18574822E-13 2 - 1.74361725E+04-8.12083753E+01-1.16651525E+00 9.46349386E-02-3.00777339E-05 3 --2.88245154E-08 1.78028646E-11 2.41601180E+04 4.03071171E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C8H11LR(236) C 8H 11 G 100.000 5000.000 1475.56 1 - 7.34830030E+01 2.01108328E-01-8.38164043E-05 1.53406277E-08-1.04521092E-12 2 --3.67801045E+04-3.17207986E+02-1.79466331E+01 4.48957900E-01-3.35770038E-04 3 - 1.29174251E-07-2.03316371E-11-9.79800152E+03 1.59457128E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C7H12L(237) C 7H 12 G 100.000 5000.000 1348.27 1 - 3.12032728E+01 1.38955899E-01-6.02821225E-05 1.12700371E-08-7.78819940E-13 2 --1.36486786E+04-1.09385584E+02-7.46946416E+00 2.53688904E-01-1.87926913E-04 3 - 7.43854321E-08-1.24818624E-11-3.22042852E+03 8.87442626E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! radical(Allyl_S) -C11H17(238) C 11H 17 G 100.000 5000.000 1601.22 1 - 2.58296171E+01 4.89505089E-02-1.88549533E-05 3.29396763E-09-2.17445693E-13 2 - 1.02204423E+04-1.04823022E+02-2.24033978E+00 1.19072815E-01-8.45453536E-05 3 - 3.06444573E-08-4.48775734E-12 1.92095645E+04 4.38123180E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(C=CC=CCJ) -C6H7(239) C 6H 7 G 100.000 5000.000 945.84 1 - 1.39615853E+01 1.80037462E-02-4.98802905E-06 9.10700721E-10-7.18851864E-14 2 - 1.97023215E+04-5.05474316E+01 2.44368214E+00 1.31336789E-02 8.77078073E-05 3 --1.24317625E-07 4.88585122E-11 2.42777815E+04 1.70478845E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C10H13R(240) C 10H 13 G 100.000 5000.000 1129.34 1 - 4.80826422E+01 1.25166735E-01-5.08110025E-05 9.38778712E-09-6.52305763E-13 2 --1.69257718E+04-2.05228101E+02-1.00587790E+01 2.68075938E-01-1.56919265E-04 3 - 2.26130547E-08 7.35822846E-12 2.25444979E+02 1.00135796E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Tertalkyl) -C9H12L(241) C 9H 12 G 100.000 5000.000 1585.67 1 - 4.99702282E+01 1.16602570E-01-4.73050723E-05 8.49701885E-09-5.70415400E-13 2 --8.00990299E+03-2.16206767E+02-9.47579564E+00 2.66559147E-01-1.89158387E-04 3 - 6.81361000E-08-9.97313892E-12 1.08426467E+04 9.79915826E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + radical(RCCJ) -C8H11(242) C 8H 11 G 100.000 5000.000 1058.34 1 - 1.21374770E+01 4.12304551E-02-1.68726170E-05 3.16819649E-09-2.23669066E-13 2 - 2.77409347E+04-3.53361171E+01 9.56625345E-01 5.35420592E-02 8.12136674E-06 3 --3.93116763E-08 1.61263477E-11 3.17846965E+04 2.71624018E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_S) -C10H12L(243) C 10H 12 G 100.000 5000.000 1130.09 1 - 4.77019309E+01 1.23395173E-01-5.04768003E-05 9.36410953E-09-6.52167136E-13 2 --1.01110988E+02-2.02457405E+02-9.82525317E+00 2.62964078E-01-1.50713493E-04 3 - 1.83423061E-08 8.45680674E-12 1.69910304E+04 1.00209205E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds- -! Cds)HH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(3-Methylenecyclopentene) -C12H14(244) C 12H 14 G 100.000 5000.000 991.82 1 - 2.14489720E+01 5.00244347E-02-1.91857302E-05 3.64421390E-09-2.65770637E-13 2 - 2.17817430E+04-8.75855162E+01-4.66828760E-01 6.98297806E-02 5.45802390E-05 3 --1.15654493E-07 4.73774604E-11 2.95022450E+04 3.49705697E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + -! radical(Allyl_T) -C9H12L(245) C 9H 12 G 100.000 5000.000 1058.02 1 - 4.28673284E+01 1.27051223E-01-5.20623799E-05 9.81388954E-09-6.95725953E-13 2 --1.37513332E+04-1.91001987E+02-8.23038441E+00 2.21755175E-01-4.67120521E-05 3 --8.15300267E-08 4.16749176E-11 2.57305483E+03 8.44449446E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + ring(3-Methylenecyclopentene) -C11H14(246) C 11H 14 G 100.000 5000.000 972.27 1 - 2.44757193E+01 4.05124264E-02-1.42801628E-05 2.65454281E-09-1.94614739E-13 2 - 1.58535737E+04-1.00732706E+02-7.92415718E-01 7.78718470E-02 3.08257458E-05 3 --9.87231991E-08 4.39874618E-11 2.39147263E+04 3.66480838E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + -! radical(Tertalkyl) -C10H14R(247) C 10H 14 G 100.000 5000.000 1566.31 1 - 5.06530904E+01 1.25276353E-01-5.12144011E-05 9.24257265E-09-6.22593104E-13 2 --1.10046205E+04-2.17748327E+02-1.00141155E+01 2.80206171E-01-1.99584811E-04 3 - 7.23931119E-08-1.07020724E-11 8.00016460E+03 1.02158790E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_T) -C11H14L(248) C 11H 14 G 100.000 5000.000 1127.86 1 - 4.88667804E+01 1.30295180E-01-5.27979702E-05 9.74002742E-09-6.76107255E-13 2 --5.41867857E+03-2.07832706E+02-1.04534754E+01 2.75663320E-01-1.59665821E-04 3 - 2.18000398E-08 7.97932975E-12 1.20973896E+04 1.03822300E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H12L(249) C 10H 12 G 100.000 5000.000 1060.88 1 - 4.25509224E+01 1.30055873E-01-5.29997522E-05 9.94139808E-09-7.02123682E-13 2 --8.54507959E+02-1.84121046E+02-8.42457175E+00 2.26839404E-01-5.49303628E-05 3 --7.36270764E-08 3.89703434E-11 1.53306672E+04 9.01252889E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H14R(250) C 10H 14 G 100.000 5000.000 1069.24 1 - 4.46028017E+01 1.34106433E-01-5.51051768E-05 1.03658515E-08-7.32518202E-13 2 --1.72518812E+04-1.98590015E+02-8.98749567E+00 2.37807107E-01-6.48140862E-05 3 --6.82327553E-08 3.74374021E-11-2.59476157E+02 8.94099482E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + ring(4-Methylenecyclopentene) -C11H14(251) C 11H 14 G 100.000 5000.000 1023.00 1 - 1.99684220E+01 4.87586866E-02-1.92400464E-05 3.60017655E-09-2.56118703E-13 2 - 1.93191749E+04-7.50494494E+01-7.97487089E-01 8.53122404E-02-7.37905464E-06 3 --4.67874619E-08 2.24823708E-11 2.59038579E+04 3.70235793E+01 4 - -! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Fulvene) -C6H6(252) C 6H 6 G 100.000 5000.000 949.88 1 - 1.38824352E+01 1.47777411E-02-4.11982562E-06 7.77620605E-10-6.28633473E-14 2 - 2.10172690E+04-5.21584472E+01 2.47058465E+00 1.46010235E-02 7.23252049E-05 3 --1.06330978E-07 4.21962685E-11 2.53612118E+04 1.37641969E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + radical(Tertalkyl) -C9H15L2(253) C 9H 15 G 100.000 5000.000 1371.79 1 - 6.15839972E+01 2.35319817E-01-1.01042532E-04 1.88052981E-08-1.29629506E-12 2 --4.58363500E+04-2.46079887E+02-1.76138361E+01 4.66252908E-01-3.53559347E-04 3 - 1.41524331E-07-2.36610842E-11-2.41078164E+04 1.61039523E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(3-Methylenecyclopentene) -C12H14(254) C 12H 14 G 100.000 5000.000 964.25 1 - 2.61960980E+01 4.13821509E-02-1.40022621E-05 2.64658603E-09-2.00004942E-13 2 - 1.82114885E+04-1.15319487E+02-4.85081099E-01 6.26413010E-02 9.20325321E-05 3 --1.66838987E-07 6.86773086E-11 2.75141318E+04 3.39869247E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(4-Methylenecyclopentene) -C12H14(255) C 12H 14 G 100.000 5000.000 1050.63 1 - 1.71788874E+01 5.78904490E-02-2.39356884E-05 4.54185349E-09-3.23392212E-13 2 - 2.51400023E+04-6.39454702E+01-4.69227944E-01 7.71936512E-02 1.68742584E-05 3 --6.47367234E-08 2.64846964E-11 3.14912970E+04 3.46461219E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_S) -C11H15(256) C 11H 15 G 100.000 5000.000 1015.97 1 - 2.07550254E+01 5.06239747E-02-2.00203896E-05 3.77006904E-09-2.69943666E-13 2 - 1.98571245E+04-7.95106189E+01-8.63249036E-01 8.43433755E-02 6.07503643E-06 3 --6.31443315E-08 2.84477035E-11 2.69022947E+04 3.81814058E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentadiene) -C12H14(257) C 12H 14 G 100.000 5000.000 967.18 1 - 2.64898739E+01 4.12183157E-02-1.42117552E-05 2.69589330E-09-2.03178466E-13 2 - 1.76716706E+04-1.14645709E+02-6.39336747E-01 6.71049591E-02 7.95040288E-05 3 --1.54172767E-07 6.41956034E-11 2.69564010E+04 3.62015889E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + group(Cs- -! CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C11H14L(258) C 11H 14 G 100.000 5000.000 1064.88 1 - 4.62198597E+01 1.35346718E-01-5.56452857E-05 1.04888130E-08-7.42767277E-13 2 --6.14547689E+03-2.04889460E+02-9.27562785E+00 2.42271620E-01-6.32411844E-05 3 --7.42930328E-08 4.01818353E-11 1.14304541E+04 9.33626816E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + -! radical(Tertalkyl) -C12H18L(259) C 12H 18 G 100.000 5000.000 1552.20 1 - 5.45758796E+01 1.38296087E-01-5.65163535E-05 1.02042946E-08-6.87942016E-13 2 --1.84264761E+04-2.35925173E+02-1.13785903E+01 3.08261078E-01-2.20766582E-04 3 - 8.07499014E-08-1.20502153E-11 2.04829148E+03 1.11264993E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(RCCJC) -C9H13(260) C 9H 13 G 100.000 5000.000 1008.00 1 - 1.48914908E+01 4.51871261E-02-1.74610386E-05 3.23476186E-09-2.29185352E-13 2 - 2.06266696E+04-4.84732636E+01 4.09735063E-01 6.11760167E-02 2.04698948E-05 3 --6.26746187E-08 2.62421061E-11 2.56534225E+04 3.19607747E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentadiene) -C12H14(261) C 12H 14 G 100.000 5000.000 997.55 1 - 2.17844607E+01 4.97918860E-02-1.93565004E-05 3.68452877E-09-2.68207888E-13 2 - 2.12236777E+04-8.78410843E+01-6.23808642E-01 7.43201069E-02 4.19884129E-05 3 --1.02958061E-07 4.29095181E-11 2.89446344E+04 3.65021778E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C5H7L(262) C 5H 7 G 100.000 5000.000 1521.95 1 - 4.48175631E+01 9.39009837E-02-3.72171621E-05 6.63649133E-09-4.45041680E-13 2 --2.35794385E+04-1.93339581E+02-7.91047806E+00 2.32481960E-01-1.73800230E-04 3 - 6.64649193E-08-1.02726896E-11-7.52963778E+03 8.31878270E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + ring(3-Methylenecyclopentene) -C9H11R(263) C 9H 11 G 100.000 5000.000 1101.97 1 - 4.50562929E+01 1.19901712E-01-4.87418435E-05 9.05186062E-09-6.32471807E-13 2 --1.27095090E+04-1.90034077E+02-9.08074625E+00 2.47365885E-01-1.28261397E-04 3 - 3.01274273E-10 1.42518512E-11 3.41424716E+03 9.54241997E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C9H11R(264) C 9H 11 G 100.000 5000.000 1681.08 1 - 5.48223230E+01 1.06562012E-01-4.22856140E-05 7.47023973E-09-4.94527145E-13 2 --1.62356093E+04-2.46562688E+02-9.61282294E+00 2.59881652E-01-1.79091264E-04 3 - 6.17237397E-08-8.56284042E-12 5.42834990E+03 9.77691083E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C11H15(265) C 11H 15 G 100.000 5000.000 989.76 1 - 1.74407080E+01 5.43270761E-02-2.09042583E-05 3.97145090E-09-2.89414653E-13 2 - 1.82752716E+04-7.16230322E+01 3.88774946E-01 4.97881063E-02 9.72919839E-05 3 --1.50619880E-07 5.76966581E-11 2.52485606E+04 2.86423224E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_T) -C12H17(266) C 12H 17 G 100.000 5000.000 1013.67 1 - 2.18847107E+01 5.75873467E-02-2.23794895E-05 4.15517612E-09-2.94659793E-13 2 - 1.45530929E+04-8.46902548E+01-1.47468162E+00 9.68396312E-02-2.14654907E-06 3 --6.06590903E-08 2.83936434E-11 2.20079358E+04 4.17346359E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene) -C12H16(267) C 12H 16 G 100.000 5000.000 973.93 1 - 2.47896556E+01 4.92569612E-02-1.77262251E-05 3.34919676E-09-2.47862163E-13 2 - 4.79890772E+03-1.06726844E+02-6.96750795E-01 6.86591236E-02 8.37234371E-05 3 --1.55992310E-07 6.37298489E-11 1.38075240E+04 3.63194390E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C9H11R(268) C 9H 11 G 100.000 5000.000 1085.50 1 - 4.56733285E+01 1.18839448E-01-4.80404842E-05 8.92343446E-09-6.24824170E-13 2 --1.24225174E+04-1.93657906E+02-9.12042507E+00 2.47411634E-01-1.24364705E-04 3 --6.44187480E-09 1.72483214E-11 3.79406342E+03 9.50881435E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene) -C12H16(269) C 12H 16 G 100.000 5000.000 1007.90 1 - 2.01685406E+01 5.76924436E-02-2.27934757E-05 4.31989249E-09-3.11426264E-13 2 - 8.31377843E+03-8.04000555E+01-6.85203365E-01 7.59088552E-02 4.61534421E-05 3 --1.04820152E-07 4.25190020E-11 1.57959363E+04 3.66350417E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C9H11R(270) C 9H 11 G 100.000 5000.000 1671.42 1 - 5.60645279E+01 1.04469203E-01-4.10049761E-05 7.20774496E-09-4.75939282E-13 2 --1.62208408E+04-2.53727317E+02-9.86295916E+00 2.62244801E-01-1.82598835E-04 3 - 6.36840766E-08-8.92327610E-12 5.81771826E+03 9.82000695E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + ring(Cyclopentadiene) -C11H14(271) C 11H 14 G 100.000 5000.000 976.91 1 - 2.47849941E+01 4.03226788E-02-1.44748932E-05 2.70039383E-09-1.97503513E-13 2 - 1.53071003E+04-1.00839600E+02-9.48659197E-01 8.23579090E-02 1.82252064E-05 3 --8.59756370E-08 3.94776787E-11 2.33570814E+04 3.81767857E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C9H12(272) C 9H 12 G 100.000 5000.000 977.02 1 - 1.85974115E+01 3.65628696E-02-1.32931363E-05 2.49664831E-09-1.83038653E-13 2 - 1.13677180E+04-7.15007429E+01 5.09630892E-01 5.33073245E-02 4.89832693E-05 3 --1.00032545E-07 4.14138147E-11 1.76374012E+04 2.93397499E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene) -C12H16(273) C 12H 16 G 100.000 5000.000 973.26 1 - 2.72341886E+01 4.64428259E-02-1.67230509E-05 3.23583342E-09-2.45064693E-13 2 - 4.53472605E+03-1.21900942E+02-6.94666347E-01 6.40168445E-02 1.06012808E-04 3 --1.83460276E-07 7.40720223E-11 1.45752422E+04 3.57355838E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) + ring(Cyclopentene) -C11H14(274) C 11H 14 G 100.000 5000.000 964.31 1 - 2.38120416E+01 4.07518160E-02-1.38546310E-05 2.63711134E-09-2.00248402E-13 2 - 9.71550802E+03-1.02534268E+02 1.46371480E-01 4.86676350E-02 1.14217078E-04 3 --1.82957081E-07 7.30766148E-11 1.84759144E+04 3.25362711E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C9H12(275) C 9H 12 G 100.000 5000.000 1043.46 1 - 1.41839217E+01 4.46600031E-02-1.81712259E-05 3.42367727E-09-2.43043707E-13 2 - 1.47904637E+04-4.63521527E+01 5.09048839E-01 6.06736141E-02 1.11455292E-05 3 --4.87446129E-08 2.02670813E-11 1.96263561E+04 2.97004619E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -! + ring(4-Methylenecyclopentene) + ring(Cyclopentene) -C11H14(276) C 11H 14 G 100.000 5000.000 991.10 1 - 1.90475865E+01 4.94235755E-02-1.90551014E-05 3.63875614E-09-2.66347314E-13 2 - 1.32930452E+04-7.53958852E+01 1.68735646E-01 5.58067517E-02 7.69407054E-05 3 --1.32003828E-07 5.18761557E-11 2.04638514E+04 3.28120863E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)(Cds- -! Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentadiene) -C12H14(277) C 12H 14 G 100.000 5000.000 970.35 1 - 2.67870692E+01 4.10488246E-02-1.44180516E-05 2.74445656E-09-2.06290970E-13 2 - 1.71303653E+04-1.15377572E+02-7.93794109E-01 7.15705055E-02 6.69716506E-05 3 --1.41506345E-07 5.97163391E-11 2.63986790E+04 3.70307106E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) -C11H14(278) C 11H 14 G 100.000 5000.000 1010.04 1 - 2.08539617E+01 4.73499037E-02-1.83546398E-05 3.42538509E-09-2.44386765E-13 2 - 1.94907089E+04-8.11109120E+01-8.57408456E-01 8.56667463E-02-4.47054956E-06 3 --5.24620431E-08 2.51534319E-11 2.63079212E+04 3.58867206E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C11H14(279) C 11H 14 G 100.000 5000.000 1181.29 1 - 1.79852603E+01 5.29832921E-02-2.18771415E-05 4.04321668E-09-2.79421797E-13 2 - 2.22082091E+04-6.47663103E+01-9.41384624E-01 9.38400429E-02-4.42579774E-05 3 - 2.60918923E-11 4.09396213E-12 2.83006862E+04 3.65578594E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene) -C12H16(280) C 12H 16 G 100.000 5000.000 1000.83 1 - 2.25528556E+01 5.49784358E-02-2.18471207E-05 4.21979296E-09-3.09719155E-13 2 - 8.07565094E+03-9.52337092E+01-6.75165501E-01 7.11763903E-02 6.87369243E-05 3 --1.32630233E-07 5.29863287E-11 1.65633101E+04 3.60224626E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) + radical(Tertalkyl) -C13H20R(281) C 13H 20 G 100.000 5000.000 1536.03 1 - 5.52901740E+01 1.46936356E-01-6.04137543E-05 1.09482114E-08-7.40053173E-13 2 --2.14422997E+04-2.37658111E+02-1.19235380E+01 3.21968566E-01-2.31340231E-04 3 - 8.51335673E-08-1.28142513E-11-7.93834740E+02 1.15457430E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Allyl_S) -C10H12L(282) C 10H 12 G 100.000 5000.000 1110.41 1 - 4.67926740E+01 1.24545041E-01-5.08116673E-05 9.43928344E-09-6.59066271E-13 2 - 7.18134219E+02-1.98933211E+02-9.62825648E+00 2.58062829E-01-1.36985157E-04 3 - 4.62670756E-09 1.31560844E-11 1.75468370E+04 9.85301431E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C12H15(283) C 12H 15 G 100.000 5000.000 1005.93 1 - 1.99691331E+01 5.57266573E-02-2.21085282E-05 4.21295591E-09-3.05142957E-13 2 - 2.35092301E+04-8.06598604E+01-4.75292206E-01 7.08271976E-02 5.40813811E-05 3 --1.11697701E-07 4.47594763E-11 3.09714893E+04 3.47404626E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentadiene) -C11H12(284) C 11H 12 G 100.000 5000.000 969.30 1 - 2.32101710E+01 3.73349336E-02-1.30720576E-05 2.47777419E-09-1.85664894E-13 2 - 2.23279044E+04-1.00122562E+02-6.61237102E-02 5.94305697E-02 6.71850814E-05 3 --1.31437788E-07 5.46557419E-11 3.03146282E+04 2.93683666E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) -C6H9R(285) C 6H 9 G 100.000 5000.000 1496.70 1 - 4.37846280E+01 1.05270679E-01-4.26232791E-05 7.68732307E-09-5.19198149E-13 2 --2.72453682E+04-1.85921973E+02-8.21480693E+00 2.44243188E-01-1.81903818E-04 3 - 6.97269905E-08-1.08820610E-11-1.16800380E+04 8.59140709E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T) -C7H12R(286) C 7H 12 G 100.000 5000.000 1580.17 1 - 4.62652164E+01 1.13668270E-01-4.55330125E-05 8.12307091E-09-5.43225968E-13 2 --2.75685487E+04-1.99330797E+02-8.78896387E+00 2.53032261E-01-1.77827612E-04 3 - 6.39380981E-08-9.37385076E-12-1.01697200E+04 9.14623523E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ) -C6H8R(287) C 6H 8 G 100.000 5000.000 1539.96 1 - 4.68743396E+01 9.75908404E-02-3.81763967E-05 6.74829644E-09-4.49821150E-13 2 --1.45116431E+04-2.03189214E+02-8.47592784E+00 2.41360748E-01-1.78214924E-04 3 - 6.73722918E-08-1.02915828E-11 2.53588600E+03 8.77419564E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C6H8R(288) C 6H 8 G 100.000 5000.000 1094.49 1 - 3.86979026E+01 1.09951958E-01-4.48885611E-05 8.36167958E-09-5.85531690E-13 2 --1.45451027E+04-1.62828066E+02-7.28502180E+00 2.11681446E-01-9.34127642E-05 3 --1.74479171E-08 1.79564772E-11-5.07115572E+02 8.13120874E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S) -C10H13LR(289) C 10H 13 G 100.000 5000.000 1454.92 1 - 7.81281481E+01 2.06926233E-01-8.58227468E-05 1.56912660E-08-1.06946036E-12 2 --3.31639533E+04-3.40193528E+02-1.92910744E+01 4.74757091E-01-3.61949085E-04 3 - 1.42215156E-07-2.28099093E-11-4.81619691E+03 1.66326438E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C6H8(290) C 6H 8 G 100.000 5000.000 960.58 1 - 1.30050803E+01 2.22419877E-02-7.40377667E-06 1.39943163E-09-1.06266736E-13 2 - 7.40239242E+03-4.64344790E+01 2.32690993E+00 1.71726183E-02 7.78631591E-05 3 --1.11460906E-07 4.32380665E-11 1.17391865E+04 1.65476731E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJ) -C8H12R(291) C 8H 12 G 100.000 5000.000 1370.97 1 - 3.77104261E+01 1.32594171E-01-5.66340571E-05 1.05173901E-08-7.24244360E-13 2 --3.02402958E+03-1.43761914E+02-8.46245443E+00 2.67309434E-01-2.04027412E-04 3 - 8.21905391E-08-1.37939660E-11 9.63636154E+03 9.35641778E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_P) -C10H12L(292) C 10H 12 G 100.000 5000.000 1102.77 1 - 4.89601926E+01 1.21295280E-01-4.91845567E-05 9.12345880E-09-6.37224805E-13 2 --7.06033204E+01-2.10352879E+02-9.99118930E+00 2.65713812E-01-1.51210361E-04 3 - 1.37255366E-08 1.12587201E-11 1.71519702E+04 9.89567317E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl) -C9H12L(293) C 9H 12 G 100.000 5000.000 1619.67 1 - 5.14954781E+01 1.14037776E-01-4.56622488E-05 8.13216036E-09-5.42451405E-13 2 --8.37120028E+03-2.26684529E+02-9.57592324E+00 2.64860899E-01-1.85340645E-04 3 - 6.56242418E-08-9.41642420E-12 1.14120584E+04 9.74001583E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C12H18L(294) C 12H 18 G 100.000 5000.000 1078.71 1 - 4.86050683E+01 1.47005829E-01-6.03435857E-05 1.13135436E-08-7.96763138E-13 2 --2.47131817E+04-2.17226110E+02-1.04350160E+01 2.66791439E-01-8.90473484E-05 3 --5.61505793E-08 3.45854123E-11-6.20759016E+03 9.88178954E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T) -C11H15LR(295) C 11H 15 G 100.000 5000.000 1449.34 1 - 7.92685401E+01 2.13852682E-01-8.81535441E-05 1.60685594E-08-1.09346174E-12 2 --3.84654284E+04-3.45420502E+02-1.99361915E+01 4.87644789E-01-3.71514971E-04 3 - 1.46408650E-07-2.35760638E-11-9.70907349E+03 1.70000948E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) -C12H15R(296) C 12H 15 G 100.000 5000.000 1101.22 1 - 5.32967442E+01 1.30040239E-01-5.21966462E-05 9.63099414E-09-6.70759027E-13 2 --1.26899407E+04-2.31436671E+02-1.13537145E+01 2.92946918E-01-1.76124435E-04 3 - 2.53445569E-08 9.22677831E-12 5.91007876E+03 1.06499358E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Allyl_T) -C11H14L(297) C 11H 14 G 100.000 5000.000 1108.28 1 - 4.79475878E+01 1.31462259E-01-5.31428736E-05 9.81758911E-09-6.83205397E-13 2 --4.59537980E+03-2.04252788E+02-1.02533736E+01 2.70725501E-01-1.45810557E-04 3 - 7.92262414E-09 1.27458344E-11 1.26530624E+04 1.02132105E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -! + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C11H13(298) C 11H 13 G 100.000 5000.000 989.86 1 - 1.88612200E+01 4.74361573E-02-1.83579000E-05 3.52896278E-09-2.59829397E-13 2 - 2.84828367E+04-7.57294525E+01 3.76954178E-01 5.07442303E-02 8.48064841E-05 3 --1.38809372E-07 5.40903905E-11 3.56394778E+04 3.09236242E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! radical(Tertalkyl) -C9H13LR(299) C 9H 13 G 100.000 5000.000 1363.25 1 - 6.40224319E+01 2.25570174E-01-9.63824411E-05 1.79123546E-08-1.23444983E-12 2 --3.33183653E+04-2.60111222E+02-1.77743107E+01 4.65574041E-01-3.60460148E-04 3 - 1.47052931E-07-2.49168093E-11-1.10163677E+04 1.59857686E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H15R(300) C 12H 15 G 100.000 5000.000 1566.57 1 - 5.95575332E+01 1.21837260E-01-4.83652283E-05 8.60922637E-09-5.75606012E-13 2 --1.48928004E+04-2.67805817E+02-1.17064415E+01 3.03796420E-01-2.22589666E-04 3 - 8.27507836E-08-1.24072639E-11 7.43552470E+03 1.07992281E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H15R(301) C 12H 15 G 100.000 5000.000 1121.26 1 - 5.28560347E+01 1.30821508E-01-5.27434898E-05 9.72419232E-09-6.75562712E-13 2 --1.33846614E+04-2.28974063E+02-1.13295304E+01 2.93067172E-01-1.80521300E-04 3 - 3.26189719E-08 6.05418605E-12 5.20386424E+03 1.06736092E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C12H15R(302) C 12H 15 G 100.000 5000.000 1566.54 1 - 5.97034512E+01 1.21522555E-01-4.81854252E-05 8.57260354E-09-5.72988978E-13 2 --1.44632860E+04-2.68423304E+02-1.17270099E+01 3.03913746E-01-2.22830175E-04 3 - 8.28958533E-08-1.24340930E-11 7.91635073E+03 1.08250012E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H15R(303) C 12H 15 G 100.000 5000.000 1509.92 1 - 4.91975772E+01 1.39151282E-01-5.82067546E-05 1.06500139E-08-7.24423565E-13 2 --8.64298886E+03-2.08552974E+02-1.04420453E+01 2.97145375E-01-2.15162813E-04 3 - 7.99499441E-08-1.21985275E-11 9.36722656E+03 1.03748645E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H15R(304) C 12H 15 G 100.000 5000.000 1570.17 1 - 5.82448591E+01 1.23933856E-01-4.96312630E-05 8.87115226E-09-5.94391818E-13 2 --1.46950919E+04-2.60161386E+02-1.14775739E+01 3.01552705E-01-2.19313678E-04 3 - 8.09158634E-08-1.20653221E-11 7.19996120E+03 1.07666175E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) -! + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C12H16R2(305) C 12H 16 G 100.000 5000.000 1367.88 1 - 7.49182078E+01 2.28883730E-01-9.65425787E-05 1.78478308E-08-1.22699888E-12 2 --4.02861270E+04-3.17420770E+02-2.01527715E+01 5.06891695E-01-4.01400707E-04 3 - 1.66426273E-07-2.83817039E-11-1.42768259E+04 1.71024478E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentene) -C12H15R(306) C 12H 15 G 100.000 5000.000 1045.62 1 - 5.09879540E+01 1.32957435E-01-5.32670860E-05 9.95872650E-09-7.04515305E-13 2 --1.85994022E+04-2.24591977E+02-1.02538597E+01 2.61993632E-01-8.73990844E-05 3 --6.45399332E-08 4.01227978E-11-3.90491958E+01 1.01107447E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H12L(307) C 10H 12 G 100.000 5000.000 1054.34 1 - 4.32426324E+01 1.29003761E-01-5.23476746E-05 9.81631649E-09-6.94021279E-13 2 --7.66140816E+02-1.88955834E+02-8.48136992E+00 2.27334262E-01-5.29562429E-05 3 --7.78704657E-08 4.09810636E-11 1.55823333E+04 8.91250401E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene) -C12H16(308) C 12H 16 G 100.000 5000.000 973.93 1 - 2.47896556E+01 4.92569612E-02-1.77262251E-05 3.34919676E-09-2.47862163E-13 2 - 4.79890772E+03-1.06726844E+02-6.96750795E-01 6.86591236E-02 8.37234371E-05 3 --1.55992310E-07 6.37298489E-11 1.38075240E+04 3.63194390E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene) -C12H16(309) C 12H 16 G 100.000 5000.000 1007.90 1 - 2.01685406E+01 5.76924436E-02-2.27934757E-05 4.31989249E-09-3.11426264E-13 2 - 8.31377843E+03-8.04000555E+01-6.85203365E-01 7.59088552E-02 4.61534421E-05 3 --1.04820152E-07 4.25190020E-11 1.57959363E+04 3.66350417E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C13H20R(310) C 13H 20 G 100.000 5000.000 1091.31 1 - 5.04813045E+01 1.53836435E-01-6.32627676E-05 1.18373053E-08-8.31277744E-13 2 --2.82779548E+04-2.25616322E+02-1.12013093E+01 2.82936615E-01-1.07401948E-04 3 --4.26356601E-08 3.03034765E-11-9.03970541E+03 1.03816805E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(RCCJC) -C9H13(311) C 9H 13 G 100.000 5000.000 1020.42 1 - 1.52751021E+01 4.48755251E-02-1.75873483E-05 3.26476702E-09-2.30779405E-13 2 - 2.00474614E+04-4.90015136E+01 2.48245644E-01 6.57148136E-02 7.73406415E-06 3 --4.98347311E-08 2.17345665E-11 2.50960097E+04 3.35088366E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C9H13(312) C 9H 13 G 100.000 5000.000 975.61 1 - 1.50453950E+01 4.44172801E-02-1.64120137E-05 3.12448791E-09-2.31051489E-13 2 - 1.07468493E+04-6.29402923E+01 1.47644945E+00 2.62858363E-02 1.24876973E-04 3 --1.70920810E-07 6.42267959E-11 1.69049497E+04 2.01782574E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - -! ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4) -C9H13(313) C 9H 13 G 100.000 5000.000 993.35 1 - 1.38864816E+01 4.43859201E-02-1.69449497E-05 3.18051734E-09-2.29181922E-13 2 - 1.61216173E+04-4.99309158E+01 1.03151087E+00 4.40857005E-02 6.21277556E-05 3 --1.02651337E-07 3.96851728E-11 2.12442220E+04 2.49306389E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + Estimated bicyclic component: -! polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4) -C9H12L(314) C 9H 12 G 100.000 5000.000 1115.22 1 - 4.32555984E+01 1.24524214E-01-5.12105081E-05 9.55202957E-09-6.68057437E-13 2 --9.07274619E+03-1.86791074E+02-8.78856957E+00 2.40726590E-01-1.12726488E-04 3 --1.03325165E-08 1.64906218E-11 6.91738784E+03 8.96138009E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) -! + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) -C12H16R2(315) C 12H 16 G 100.000 5000.000 1413.35 1 - 8.33996824E+01 2.14296151E-01-8.82038371E-05 1.61043146E-08-1.09867304E-12 2 --4.59728806E+04-3.65606215E+02-2.10361373E+01 5.09865154E-01-4.01893034E-04 3 - 1.64068879E-07-2.72712897E-11-1.64519490E+04 1.74367358E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + -! radical(Tertalkyl) -C10H14R(316) C 10H 14 G 100.000 5000.000 1599.31 1 - 5.21435275E+01 1.22747800E-01-4.95840363E-05 8.87931988E-09-5.94684328E-13 2 --1.13420894E+04-2.28013417E+02-1.01072499E+01 2.78444805E-01-1.95615690E-04 3 - 6.97532343E-08-1.01105154E-11 8.56919559E+03 1.01540673E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs- -! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentene) -C12H15R(317) C 12H 15 G 100.000 5000.000 1037.14 1 - 5.30029988E+01 1.30970986E-01-5.27686498E-05 9.95357841E-09-7.09794145E-13 2 --1.88368065E+04-2.37419592E+02-1.02222875E+01 2.57296870E-01-6.55076470E-05 3 --9.11087628E-08 4.99854435E-11 5.98459052E+02 1.00382516E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C10H15R2(318) C 10H 15 G 100.000 5000.000 1355.88 1 - 6.48923760E+01 2.34027846E-01-1.00205863E-04 1.86439044E-08-1.28584006E-12 2 --3.64309755E+04-2.62779005E+02-1.83551748E+01 4.79622119E-01-3.71910014E-04 3 - 1.52239393E-07-2.59189122E-11-1.38566552E+04 1.64185540E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C12H16R2(319) C 12H 16 G 100.000 5000.000 1364.97 1 - 7.32568163E+01 2.31629150E-01-9.81770621E-05 1.81902836E-08-1.25200381E-12 2 --4.04290027E+04-3.08010365E+02-1.99203422E+01 5.04682678E-01-3.98243478E-04 3 - 1.64746576E-07-2.80944949E-11-1.49922821E+04 1.70505691E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene) -C12H15R(320) C 12H 15 G 100.000 5000.000 1108.27 1 - 4.81156341E+01 1.38572670E-01-5.67697519E-05 1.05703338E-08-7.38941725E-13 2 --1.58714263E+04-2.08210153E+02-1.03563684E+01 2.70387581E-01-1.27948988E-04 3 --1.11141812E-08 1.87027144E-11 1.95448798E+03 1.01844708E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs- -! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene) -C12H15R(321) C 12H 15 G 100.000 5000.000 1084.96 1 - 4.96521104E+01 1.37352066E-01-5.66937498E-05 1.06617199E-08-7.52027632E-13 2 --1.58912542E+04-2.18311953E+02-1.02895188E+01 2.65324082E-01-1.05017405E-04 3 --3.86667868E-08 2.88228288E-11 2.59041064E+03 1.00990072E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) -C12H15R(322) C 12H 15 G 100.000 5000.000 1120.49 1 - 5.42122866E+01 1.28875703E-01-5.18517778E-05 9.55320308E-09-6.63627486E-13 2 --1.35104046E+04-2.34993590E+02-1.15586144E+01 2.97943860E-01-1.90196864E-04 3 - 3.95153832E-08 4.33150337E-12 5.35460832E+03 1.08206578E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C12H15(323) C 12H 15 G 100.000 5000.000 1005.93 1 - 1.99691331E+01 5.57266573E-02-2.21085282E-05 4.21295591E-09-3.05142957E-13 2 - 2.35092301E+04-8.06598604E+01-4.75292206E-01 7.08271976E-02 5.40813811E-05 3 --1.11697701E-07 4.47594763E-11 3.09714893E+04 3.47404626E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_S) -C10H12R(324) C 10H 12 G 100.000 5000.000 1130.09 1 - 4.77019309E+01 1.23395173E-01-5.04768003E-05 9.36410953E-09-6.52167136E-13 2 --1.01110988E+02-2.02457405E+02-9.82525317E+00 2.62964078E-01-1.50713493E-04 3 - 1.83423061E-08 8.45680674E-12 1.69910304E+04 1.00209205E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C6H11L(325) C 6H 11 G 100.000 5000.000 1564.42 1 - 4.51550659E+01 1.08747733E-01-4.37801313E-05 7.84222614E-09-5.26095308E-13 2 --4.13707398E+04-1.93993006E+02-8.39137388E+00 2.45659418E-01-1.75055031E-04 3 - 6.37845315E-08-9.46594652E-12-2.46170421E+04 8.83000510E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_P) -C11H14L(326) C 11H 14 G 100.000 5000.000 1159.19 1 - 5.18748785E+01 1.26696372E-01-5.13420989E-05 9.44350661E-09-6.53110687E-13 2 --5.86660295E+03-2.23260987E+02-1.09859061E+01 2.87295795E-01-1.86288626E-04 3 - 4.51442470E-08 6.85840546E-13 1.24903709E+04 1.05611282E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C11H14L(327) C 11H 14 G 100.000 5000.000 1075.65 1 - 4.49249188E+01 1.36362759E-01-5.55793534E-05 1.03808249E-08-7.29615532E-13 2 --5.99637189E+03-1.97149095E+02-9.37889537E+00 2.47891166E-01-8.50291790E-05 3 --4.95066735E-08 3.13503350E-11 1.09163560E+04 9.31079970E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) + radical(RCCJCC) -C8H10L(328) C 8H 10 G 100.000 5000.000 1675.70 1 - 5.27704388E+01 1.02196603E-01-3.99298263E-05 6.99685757E-09-4.61051195E-13 2 --5.13240004E+03-2.35397875E+02-9.19178974E+00 2.50105757E-01-1.72331765E-04 3 - 5.96726547E-08-8.31990404E-12 1.56334155E+04 9.55202689E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentadiene) -C11H12(329) C 11H 12 G 100.000 5000.000 1008.47 1 - 1.85648707E+01 4.58099841E-02-1.81614924E-05 3.45360165E-09-2.49647913E-13 2 - 2.58534430E+04-7.36586571E+01-5.38207094E-02 6.66753725E-02 2.96109196E-05 3 --8.02238899E-08 3.34087031E-11 3.23030057E+04 2.96810218E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -C7H13R(330) C 7H 13 G 100.000 5000.000 1544.24 1 - 4.58719794E+01 1.17378589E-01-4.76702753E-05 8.58413912E-09-5.78023397E-13 2 --4.43856574E+04-1.95737042E+02-8.93351030E+00 2.59341587E-01-1.85568136E-04 3 - 6.81170857E-08-1.02160583E-11-2.74593217E+04 9.24817526E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -! + ring(Cyclopentadiene) -C11H14(331) C 11H 14 G 100.000 5000.000 1021.14 1 - 2.12456556E+01 4.70248661E-02-1.84733261E-05 3.45361092E-09-2.45834564E-13 2 - 1.89080008E+04-8.16848650E+01-1.02019676E+00 9.02205422E-02-1.72569008E-05 3 --3.95602614E-08 2.06213940E-11 2.57505646E+04 3.74394582E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + -! radical(Tertalkyl) -C9H14L(332) C 9H 14 G 100.000 5000.000 1636.21 1 - 5.01365679E+01 1.21884142E-01-4.93876034E-05 8.83774658E-09-5.90702002E-13 2 --2.18242154E+04-2.19086918E+02-9.50360995E+00 2.67685012E-01-1.83051024E-04 3 - 6.32983572E-08-8.91185889E-12-2.30745497E+03 9.80082180E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H12R(333) C 10H 12 G 100.000 5000.000 1060.88 1 - 4.25509224E+01 1.30055873E-01-5.29997522E-05 9.94139808E-09-7.02123682E-13 2 --8.54507959E+02-1.84121046E+02-8.42457175E+00 2.26839404E-01-5.49303628E-05 3 --7.36270764E-08 3.89703434E-11 1.53306672E+04 9.01252889E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H15R(334) C 12H 15 G 100.000 5000.000 1539.92 1 - 5.82560822E+01 1.24090994E-01-4.98545697E-05 8.94198204E-09-6.01151929E-13 2 --1.46526618E+04-2.58637641E+02-1.16163917E+01 3.05590010E-01-2.26651084E-04 3 - 8.54823603E-08-1.30273644E-11 6.86662888E+03 1.08621714E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H16(335) C 12H 16 G 100.000 5000.000 987.69 1 - 2.55240701E+01 4.88991352E-02-1.80842092E-05 3.35080133E-09-2.40923780E-13 2 - 1.09066476E+04-1.05324651E+02-1.64577209E+00 9.79805587E-02-5.57506257E-08 3 --7.12992108E-08 3.44691658E-11 1.92467773E+04 4.04681327E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H15R(336) C 12H 15 G 100.000 5000.000 1146.49 1 - 5.39873442E+01 1.29318049E-01-5.22142853E-05 9.60472687E-09-6.65088805E-13 2 --1.43055996E+04-2.33764440E+02-1.15486277E+01 2.98209194E-01-1.94997096E-04 3 - 4.71673406E-08 1.05782307E-12 4.64904415E+03 1.08495741E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) + radical(cyclopentene-allyl) -C12H15(337) C 12H 15 G 100.000 5000.000 975.24 1 - 2.51290982E+01 4.66032349E-02-1.69170514E-05 3.22305879E-09-2.39926747E-13 2 - 1.95086353E+04-1.08307792E+02-6.46329897E-01 6.78208095E-02 8.04202977E-05 3 --1.52164422E-07 6.23694308E-11 2.85545001E+04 3.59998043E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C9H13R(338) C 9H 13 G 100.000 5000.000 1489.79 1 - 5.20685775E+01 1.15355757E-01-4.61744210E-05 8.28823591E-09-5.58615238E-13 2 --2.25586072E+04-2.24828598E+02-1.03261448E+01 2.82885313E-01-2.14855469E-04 3 - 8.37728820E-08-1.32258618E-11-3.96797064E+03 1.01061358E+02 4 - -! Thermo library: DFT_QCI_thermo -[CH2]C(C)C(399) C 4H 9 G 100.000 5000.000 997.97 1 - 8.64397302E+00 2.40460607E-02-8.94850823E-06 1.61678839E-09-1.12732280E-13 2 - 4.65773611E+03-1.92473583E+01 2.22524562E+00 3.09739517E-02 8.89462565E-06 3 --2.91784755E-08 1.23302343E-11 6.87502937E+03 1.63965282E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C5H8LR(1393) C 5H 8 G 100.000 5000.000 1506.41 1 - 7.04405345E+01 1.84501764E-01-7.60390724E-05 1.38235083E-08-9.37298334E-13 2 --5.87975081E+04-3.06417139E+02-1.65446058E+01 4.15475658E-01-3.06030682E-04 3 - 1.15607287E-07-1.78291172E-11-3.25905131E+04 1.48876038E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) -C6H9R(1802) C 6H 9 G 100.000 5000.000 1504.36 1 - 4.56288208E+01 1.02399356E-01-4.10414092E-05 7.36453329E-09-4.95919636E-13 2 --2.66447750E+04-1.95634607E+02-8.45753100E+00 2.46211293E-01-1.84436224E-04 3 - 7.09107125E-08-1.10562306E-11-1.03716699E+04 8.73880072E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P) -C4H6L(1895) C 4H 6 G 100.000 5000.000 1593.00 1 - 4.33849203E+01 9.02594348E-02-3.59592663E-05 6.39964638E-09-4.27254132E-13 2 --1.41722103E+04-1.86001744E+02-7.19621921E+00 2.17267987E-01-1.55553045E-04 3 - 5.64493714E-08-8.28189023E-12 1.94293555E+03 8.15745401E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C10H17LR(3394) C 10H 17 G 100.000 5000.000 1363.67 1 - 6.24274804E+01 2.43819760E-01-1.04889278E-04 1.95421835E-08-1.34811735E-12 2 --4.89368677E+04-2.48596878E+02-1.81952219E+01 4.80304532E-01-3.65013191E-04 3 - 1.46709310E-07-2.46612538E-11-2.69480688E+04 1.65369479E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C13H22R(4080) C 13H 22 G 100.000 5000.000 1332.73 1 - 4.39596099E+01 1.70901018E-01-7.31500645E-05 1.36090236E-08-9.38831369E-13 2 --2.31905448E+04-1.69217107E+02-1.15783035E+01 3.37588221E-01-2.60755850E-04 3 - 1.07453276E-07-1.85423869E-11-8.38696172E+03 1.14674001E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C13H22R(4084) C 13H 22 G 100.000 5000.000 1332.73 1 - 4.39596099E+01 1.70901018E-01-7.31500645E-05 1.36090236E-08-9.38831369E-13 2 --2.33666715E+04-1.69061109E+02-1.15783035E+01 3.37588221E-01-2.60755850E-04 3 - 1.07453276E-07-1.85423869E-11-8.56308836E+03 1.14829999E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C12H20L(4086) C 12H 20 G 100.000 5000.000 1343.09 1 - 4.30824334E+01 1.62449426E-01-6.93276915E-05 1.28773105E-08-8.87402565E-13 2 --2.00726048E+04-1.66504198E+02-1.09928942E+01 3.23495845E-01-2.49187554E-04 3 - 1.02153351E-07-1.75049472E-11-5.54689940E+03 1.10329126E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- -! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) -! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C12H20L(4090) C 12H 20 G 100.000 5000.000 1343.09 1 - 4.30824334E+01 1.62449426E-01-6.93276915E-05 1.28773105E-08-8.87402565E-13 2 --2.02487314E+04-1.66348200E+02-1.09928942E+01 3.23495845E-01-2.49187554E-04 3 - 1.02153351E-07-1.75049472E-11-5.72302604E+03 1.10485123E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! radical(Allyl_S) -C11H17(10750) C 11H 17 G 100.000 5000.000 1601.19 1 - 2.58295759E+01 4.89505741E-02-1.88549890E-05 3.29397577E-09-2.17446350E-13 2 - 1.03965880E+04-1.04978784E+02-2.24034181E+00 1.19072833E-01-8.45453911E-05 3 - 3.06444856E-08-4.48776418E-12 1.93856913E+04 4.36563281E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -C11H16(11277) C 11H 16 G 100.000 5000.000 1026.62 1 - 2.41123630E+01 4.75163161E-02-1.80710165E-05 3.29081900E-09-2.29949498E-13 2 - 8.59125855E+03-9.33322142E+01-1.99468620E+00 1.13682283E-01-6.27979854E-05 3 --1.39849878E-09 9.12678741E-12 1.58253001E+04 4.24303360E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C11H16(11279) C 11H 16 G 100.000 5000.000 1416.23 1 - 2.25806209E+01 5.10604373E-02-2.03479997E-05 3.65395552E-09-2.46928357E-13 2 - 1.10823225E+04-8.47992166E+01-1.97929174E+00 1.20427950E-01-9.38191258E-05 3 - 3.82395107E-08-6.35218711E-12 1.80387698E+04 4.22347999E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) -C11H16(11281) C 11H 16 G 100.000 5000.000 1026.62 1 - 2.41123630E+01 4.75163161E-02-1.80710165E-05 3.29081900E-09-2.29949498E-13 2 - 8.41513191E+03-9.31762163E+01-1.99468620E+00 1.13682283E-01-6.27979854E-05 3 --1.39849878E-09 9.12678741E-12 1.56491735E+04 4.25863339E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C6H8(18175) C 6H 8 G 100.000 5000.000 976.45 1 - 1.04853132E+01 2.62591571E-02-9.74924893E-06 1.87425933E-09-1.39653237E-13 2 - 1.02062581E+04-3.14551027E+01 2.60889969E+00 1.24234330E-02 8.23239180E-05 3 --1.09339225E-07 4.07134457E-11 1.39422331E+04 1.76102655E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(RCCJCC) -C9H12R(18180) C 9H 12 G 100.000 5000.000 1619.34 1 - 5.17654012E+01 1.13605856E-01-4.55417506E-05 8.11530095E-09-5.41505749E-13 2 --7.65465181E+03-2.25468757E+02-9.60062410E+00 2.65188157E-01-1.85952470E-04 3 - 6.59208479E-08-9.46572093E-12 1.22199063E+04 1.00166616E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) + radical(RCCJCC) -C9H12R(18184) C 9H 12 G 100.000 5000.000 1653.13 1 - 5.33683416E+01 1.10951147E-01-4.38625216E-05 7.74428228E-09-5.13172696E-13 2 --8.06556517E+03-2.36414571E+02-9.71117762E+00 2.63583675E-01-1.82358476E-04 3 - 6.35970320E-08-8.95979935E-12 1.27898884E+04 9.96150232E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Isobutyl) -C9H13(18191) C 9H 13 G 100.000 5000.000 967.36 1 - 1.89018054E+01 3.80719362E-02-1.32314365E-05 2.39113636E-09-1.71116684E-13 2 - 1.92551335E+04-6.97045594E+01 1.10763756E-01 6.43397789E-02 2.57885721E-05 3 --7.94609819E-08 3.51861426E-11 2.52971778E+04 3.27662510E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Isobutyl) -C9H13(18194) C 9H 13 G 100.000 5000.000 962.38 1 - 1.86029440E+01 3.82445716E-02-1.30270811E-05 2.34305353E-09-1.68045391E-13 2 - 1.97970407E+04-6.96566514E+01 2.66671340E-01 5.98558502E-02 3.83916085E-05 3 --9.22289816E-08 3.97135126E-11 2.58548381E+04 3.12388617E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) + radical(RCCJCC) -C8H10L(18195) C 8H 10 G 100.000 5000.000 1640.87 1 - 5.11295546E+01 1.04888977E-01-4.16210545E-05 7.36918977E-09-4.89405441E-13 2 --4.69456631E+03-2.24218767E+02-9.07407869E+00 2.51646775E-01-1.75777313E-04 3 - 6.18744193E-08-8.79358391E-12 1.50630344E+04 9.60444185E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Cs_S) -C9H12R(18224) C 9H 12 G 100.000 5000.000 1211.07 1 - 4.71305456E+01 1.20321011E-01-4.91774548E-05 9.03393075E-09-6.21868195E-13 2 --5.61762851E+03-1.98872491E+02-9.64095973E+00 2.61224216E-01-1.65972338E-04 3 - 4.15510339E-08-7.74890147E-13 1.15510104E+04 9.99997896E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Cs_S) -C9H12R(18225) C 9H 12 G 100.000 5000.000 1211.07 1 - 4.71305456E+01 1.20321011E-01-4.91774548E-05 9.03393075E-09-6.21868195E-13 2 --5.21505334E+03-1.98872491E+02-9.64095973E+00 2.61224216E-01-1.65972338E-04 3 - 4.15510339E-08-7.74890147E-13 1.19535855E+04 9.99997896E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl) -C13H20R(18248) C 13H 20 G 100.000 5000.000 1565.04 1 - 5.67016011E+01 1.44503695E-01-5.88244035E-05 1.05923648E-08-7.12624714E-13 2 --2.17313907E+04-2.47450663E+02-1.20060982E+01 3.20110238E-01-2.27133368E-04 3 - 8.22877637E-08-1.21652906E-11-2.25367688E+02 1.14799113E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds- -! Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl) -C12H18L(18253) C 12H 18 G 100.000 5000.000 1582.02 1 - 5.60165287E+01 1.35832099E-01-5.49157544E-05 9.84687935E-09-6.60447286E-13 2 --1.87351166E+04-2.45895518E+02-1.14672541E+01 3.06458465E-01-2.16695496E-04 3 - 7.80210103E-08-1.14336877E-11 2.61708596E+03 1.10629907E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + ring(Cyclopentadiene) -C9H11R(18275) C 9H 11 G 100.000 5000.000 1100.71 1 - 4.64039004E+01 1.17970498E-01-4.78584958E-05 8.88283769E-09-6.20699043E-13 2 --1.31586803E+04-1.98475872E+02-9.30771329E+00 2.52217829E-01-1.37851914E-04 3 - 7.09038179E-09 1.25733071E-11 3.23780736E+03 9.44160767E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) -! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C9H11R(18276) C 9H 11 G 100.000 5000.000 1120.57 1 - 4.59016995E+01 1.18851921E-01-4.84613148E-05 8.98895501E-09-6.26555569E-13 2 --1.34989501E+04-1.93193131E+02-9.27435806E+00 2.52234080E-01-1.41906101E-04 3 - 1.39531954E-08 9.56129435E-12 2.85828331E+03 9.70906588E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C10H13R(18278) C 10H 13 G 100.000 5000.000 1155.88 1 - 4.92133572E+01 1.23539073E-01-5.01080559E-05 9.22385183E-09-6.38276783E-13 2 --1.84032366E+04-2.10783884E+02-1.02918895E+01 2.73684904E-01-1.72572989E-04 3 - 3.81102530E-08 2.14318899E-12-9.21043564E+02 1.01032197E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C10H13R(18279) C 10H 13 G 100.000 5000.000 1613.90 1 - 5.39553562E+01 1.17522867E-01-4.72316512E-05 8.43232335E-09-5.63439253E-13 2 --1.90712730E+04-2.40045239E+02-1.01722637E+01 2.76461599E-01-1.94953806E-04 3 - 6.94532790E-08-1.00158731E-11 1.62778045E+03 1.00028189E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) -! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C10H13R(18280) C 10H 13 G 100.000 5000.000 1128.24 1 - 4.80453185E+01 1.25097114E-01-5.06656443E-05 9.34950674E-09-6.49232783E-13 2 --1.74640625E+04-2.05781422E+02-1.00744175E+01 2.68567094E-01-1.58203715E-04 3 - 2.37274726E-08 7.05901695E-12-3.66163154E+02 9.92780196E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C10H13R(18281) C 10H 13 G 100.000 5000.000 1193.97 1 - 4.93723967E+01 1.23391695E-01-5.01553629E-05 9.20507471E-09-6.34159745E-13 2 --1.95584116E+04-2.11603207E+02-1.02961800E+01 2.74077575E-01-1.77635937E-04 3 - 4.58628895E-08-1.08128008E-12-1.80203794E+03 1.01531430E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C10H13R(18282) C 10H 13 G 100.000 5000.000 1620.64 1 - 5.25981785E+01 1.19781038E-01-4.85964656E-05 8.71291333E-09-5.83422748E-13 2 --1.95291565E+04-2.32211815E+02-9.92129122E+00 2.74089076E-01-1.91417798E-04 3 - 6.74638905E-08-9.64634752E-12 7.35162295E+02 9.95942330E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C10H13R(18283) C 10H 13 G 100.000 5000.000 1154.95 1 - 4.78082674E+01 1.25563905E-01-5.10437234E-05 9.40494946E-09-6.51033517E-13 2 --1.84317050E+04-2.04330720E+02-1.00559197E+01 2.68730723E-01-1.62644723E-04 3 - 3.09137723E-08 3.98155840E-12-1.24821734E+03 9.96927705E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Tertalkyl) -C10H14R(18285) C 10H 14 G 100.000 5000.000 1587.35 1 - 5.31776111E+01 1.20993560E-01-4.87198188E-05 8.71779440E-09-5.83932265E-13 2 --1.28219333E+04-2.33344630E+02-1.03003126E+01 2.80951512E-01-1.99874020E-04 3 - 7.22000124E-08-1.05819806E-11 7.33059684E+03 1.02231256E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C9H12(18323) C 9H 12 G 100.000 5000.000 982.75 1 - 1.89107369E+01 3.63666451E-02-1.34842993E-05 2.54168536E-09-1.85861696E-13 2 - 1.08194105E+04-7.16306909E+01 3.53787107E-01 5.77874217E-02 3.64101363E-05 3 --8.73313299E-08 3.69291821E-11 1.70797398E+04 3.08670946E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H16(18374) C 12H 16 G 100.000 5000.000 994.19 1 - 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2 - 1.05229069E+04-1.05761894E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3 --5.84483996E-08 2.99306817E-11 1.88653955E+04 4.18522470E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H16(18375) C 12H 16 G 100.000 5000.000 1065.20 1 - 2.14584708E+01 5.64251710E-02-2.26412480E-05 4.20340675E-09-2.94843321E-13 2 - 1.43524559E+04-8.23038040E+01-1.68546041E+00 1.05780150E-01-3.92583659E-05 3 --1.84948383E-08 1.28005365E-11 2.14135685E+04 4.08147701E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H16(18376) C 12H 16 G 100.000 5000.000 987.70 1 - 2.55244095E+01 4.88985567E-02-1.80838750E-05 3.35072229E-09-2.40917219E-13 2 - 1.10826320E+04-1.05482559E+02-1.64585932E+00 9.79816089E-02-5.95105135E-08 3 --7.12942373E-08 3.44670116E-11 1.94229077E+04 4.03124461E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H16(18377) C 12H 16 G 100.000 5000.000 1064.39 1 - 2.27412836E+01 5.46812825E-02-2.18684916E-05 4.05537676E-09-2.84435377E-13 2 - 1.37630057E+04-8.81211193E+01-1.91107798E+00 1.10723975E-01-4.92659731E-05 3 --1.10919254E-08 1.08615853E-11 2.10842727E+04 4.20901403E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H16(18378) C 12H 16 G 100.000 5000.000 1746.41 1 - 2.51065848E+01 5.23259740E-02-2.09531788E-05 3.70200237E-09-2.44413123E-13 2 - 1.42272291E+04-1.03747827E+02-1.82618201E+00 1.14011909E-01-7.39344784E-05 3 - 2.39264440E-08-3.13950094E-12 2.36345460E+04 4.12044315E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H16(18379) C 12H 16 G 100.000 5000.000 1044.58 1 - 2.22120224E+01 5.52291776E-02-2.18738543E-05 4.05569310E-09-2.85308057E-13 2 - 1.44072610E+04-8.67655149E+01-1.73729761E+00 1.06055197E-01-3.61525961E-05 3 --2.42984814E-08 1.54676510E-11 2.16411404E+04 4.04970666E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H16(18380) C 12H 16 G 100.000 5000.000 994.19 1 - 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2 - 1.03467803E+04-1.05605896E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3 --5.84483996E-08 2.99306817E-11 1.86892689E+04 4.20082449E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H16(18381) C 12H 16 G 100.000 5000.000 1065.19 1 - 2.14582827E+01 5.64254830E-02-2.26414247E-05 4.20344794E-09-2.94846704E-13 2 - 1.41764110E+04-8.21467419E+01-1.68542522E+00 1.05779742E-01-3.92569743E-05 3 --1.84965754E-08 1.28012432E-11 2.12374404E+04 4.09706415E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C12H15(18389) C 12H 15 G 100.000 5000.000 976.80 1 - 2.49169225E+01 4.70727356E-02-1.72198263E-05 3.28435118E-09-2.44159627E-13 2 - 1.94402804E+04-1.07192060E+02-6.44708514E-01 6.80809119E-02 7.89998703E-05 3 --1.50073243E-07 6.14483047E-11 2.84255031E+04 3.59594958E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C12H15(18406) C 12H 15 G 100.000 5000.000 976.80 1 - 2.49169225E+01 4.70727356E-02-1.72198263E-05 3.28435118E-09-2.44159627E-13 2 - 1.94402804E+04-1.07192060E+02-6.44708514E-01 6.80809119E-02 7.89998703E-05 3 --1.50073243E-07 6.14483047E-11 2.84255031E+04 3.59594958E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C9H11L(18430) C 9H 11 G 100.000 5000.000 1643.33 1 - 5.37498096E+01 1.08300794E-01-4.31602818E-05 7.66032901E-09-5.09433390E-13 2 --1.57734547E+04-2.40519974E+02-9.64935202E+00 2.62621401E-01-1.84022850E-04 3 - 6.48061877E-08-9.20314422E-12 5.06344450E+03 9.68355008E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds- -! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + ring(3-Methylenecyclopentene) -C9H11L(18431) C 9H 11 G 100.000 5000.000 1104.74 1 - 4.58634107E+01 1.18882489E-01-4.81921627E-05 8.93248440E-09-6.23316871E-13 2 --1.32040565E+04-1.94882349E+02-9.26341425E+00 2.51620482E-01-1.37636088E-04 3 - 8.12267405E-09 1.19578139E-11 3.05625667E+03 9.50304747E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(Cyclopentadiene) -C10H14(18433) C 10H 14 G 100.000 5000.000 1004.23 1 - 2.00189391E+01 4.46552536E-02-1.72332688E-05 3.22518985E-09-2.31128747E-13 2 - 5.84613587E+03-7.65618667E+01-5.02832745E-01 7.79261113E-02 5.46965077E-06 3 --5.99087252E-08 2.74507771E-11 1.24119365E+04 3.46993551E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(4-Methylenecyclopentene) -C10H14(18434) C 10H 14 G 100.000 5000.000 1104.72 1 - 1.58799143E+01 5.20019594E-02-2.13955528E-05 3.98686348E-09-2.78553542E-13 2 - 9.55229348E+03-5.46267039E+01-3.80853622E-01 8.11344282E-02-2.05639011E-05 3 --2.08880192E-08 1.08663274E-11 1.49600590E+04 3.36565048E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) -C10H14(18435) C 10H 14 G 100.000 5000.000 995.84 1 - 1.96664464E+01 4.49160723E-02-1.70785393E-05 3.18861918E-09-2.28999269E-13 2 - 6.41156017E+03-7.62101610E+01-3.43463094E-01 7.34085282E-02 1.81513153E-05 3 --7.27115274E-08 3.19587500E-11 1.29694436E+04 3.31591252E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Tertalkyl) -C10H15(18437) C 10H 15 G 100.000 5000.000 1105.02 1 - 1.65677738E+01 5.31368200E-02-2.16061448E-05 3.99738422E-09-2.78086561E-13 2 - 1.49416565E+04-5.62845145E+01-6.38251526E-01 8.67305931E-02-2.82638699E-05 3 --1.54809166E-08 9.44415760E-12 2.04958531E+04 3.63684688E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_P) -C11H15(18454) C 11H 15 G 100.000 5000.000 986.12 1 - 2.37160029E+01 4.54417144E-02-1.69135505E-05 3.16537039E-09-2.29574937E-13 2 - 1.93118597E+04-9.43665403E+01-9.94804424E-01 8.36558012E-02 1.92975989E-05 3 --8.50925192E-08 3.83140576E-11 2.72009870E+04 3.97933968E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + -! ring(3-Methylenecyclopentene) + radical(Allyl_S) -C11H15(18464) C 11H 15 G 100.000 5000.000 1007.03 1 - 2.03808178E+01 5.09200717E-02-1.98853365E-05 3.73803228E-09-2.68183194E-13 2 - 2.04322186E+04-7.90356222E+01-7.02912044E-01 7.98174957E-02 1.87694122E-05 3 --7.59368722E-08 3.29382598E-11 2.74597578E+04 3.66375166E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds- -! Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl) -C11H13(18468) C 11H 13 G 100.000 5000.000 966.76 1 - 2.39294792E+01 3.85838366E-02-1.33574103E-05 2.57440106E-09-1.96720943E-13 2 - 2.43611610E+04-1.02943864E+02 1.99007300E-01 4.80837913E-02 1.09505615E-04 3 --1.77040335E-07 7.07890794E-11 3.30938673E+04 3.21741197E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C10H13R(18540) C 10H 13 G 100.000 5000.000 1622.68 1 - 5.43810019E+01 1.17023216E-01-4.70833089E-05 8.40685416E-09-5.61560093E-13 2 --1.87306299E+04-2.41742038E+02-1.01753639E+01 2.76157993E-01-1.94186600E-04 3 - 6.88430560E-08-9.87270754E-12 2.22028714E+03 1.00955659E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) -C12H16(18679) C 12H 16 G 100.000 5000.000 976.30 1 - 2.75366833E+01 4.62647066E-02-1.69245278E-05 3.28328506E-09-2.48086659E-13 2 - 3.99107131E+03-1.21969723E+02-8.49011537E-01 6.84798627E-02 9.34957204E-05 3 --1.70824612E-07 6.96114375E-11 1.40175161E+04 3.72575226E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) -C12H16(18680) C 12H 16 G 100.000 5000.000 977.49 1 - 2.50955566E+01 4.90730841E-02-1.79243955E-05 3.39586972E-09-2.50819691E-13 2 - 4.25381012E+03-1.06814824E+02-8.51768115E-01 7.31300967E-02 7.11786112E-05 3 --1.43321229E-07 5.92545799E-11 1.32498267E+04 3.78437846E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) -! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) -C12H16(18717) C 12H 16 G 100.000 5000.000 977.49 1 - 2.50955566E+01 4.90730841E-02-1.79243955E-05 3.39586972E-09-2.50819691E-13 2 - 4.25381012E+03-1.06814824E+02-8.51768115E-01 7.31300967E-02 7.11786112E-05 3 --1.43321229E-07 5.92545799E-11 1.32498267E+04 3.78437846E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C12H16(18724) C 12H 16 G 100.000 5000.000 994.19 1 - 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2 - 1.05229069E+04-1.05761894E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3 --5.84483996E-08 2.99306817E-11 1.88653955E+04 4.18522470E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds- -! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) -C12H16(18725) C 12H 16 G 100.000 5000.000 1065.20 1 - 2.14584708E+01 5.64251710E-02-2.26412480E-05 4.20340675E-09-2.94843321E-13 2 - 1.43524559E+04-8.23038040E+01-1.68546041E+00 1.05780150E-01-3.92583659E-05 3 --1.84948383E-08 1.28005365E-11 2.14135685E+04 4.08147701E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- -! Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds- -! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C12H16(18726) C 12H 16 G 100.000 5000.000 987.70 1 - 2.55244095E+01 4.88985567E-02-1.80838750E-05 3.35072229E-09-2.40917219E-13 2 - 1.10826320E+04-1.05482559E+02-1.64585932E+00 9.79816089E-02-5.95105135E-08 3 --7.12942373E-08 3.44670116E-11 1.94229077E+04 4.03124461E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds- -! Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) -C11H14(18772) C 11H 14 G 100.000 5000.000 967.17 1 - 2.41037012E+01 4.05916189E-02-1.40662385E-05 2.68692088E-09-2.03463760E-13 2 - 9.17656723E+03-1.02541747E+02-7.28085098E-03 5.31239455E-02 1.01715300E-04 3 --1.70326872E-07 6.86108245E-11 1.79181578E+04 3.40556402E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C9H13(20452) C 9H 13 G 100.000 5000.000 975.61 1 - 1.50453950E+01 4.44172801E-02-1.64120137E-05 3.12448791E-09-2.31051489E-13 2 - 1.07468493E+04-6.29402923E+01 1.47644945E+00 2.62858363E-02 1.24876973E-04 3 --1.70920810E-07 6.42267959E-11 1.69049497E+04 2.01782574E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) -! + group(Cds-CdsHH) + radical(Allyl_T) -C10H14L(20637) C 10H 14 G 100.000 5000.000 1532.83 1 - 5.49223871E+01 1.17159067E-01-4.61994520E-05 8.20671745E-09-5.48797917E-13 2 --1.10969149E+04-2.40232162E+02-1.08510352E+01 2.88798516E-01-2.14163003E-04 3 - 8.12584412E-08-1.24633345E-11 9.06694894E+03 1.05179340E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_T) -C11H14L(20661) C 11H 14 G 100.000 5000.000 1127.86 1 - 4.88667804E+01 1.30295180E-01-5.27979702E-05 9.74002742E-09-6.76107255E-13 2 --5.41867857E+03-2.07832706E+02-1.04534754E+01 2.75663320E-01-1.59665821E-04 3 - 2.18000398E-08 7.97932975E-12 1.20973896E+04 1.03822300E+02 4 - -! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds- -! Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) + radical(cyclopentene-allyl) -C12H15(22038) C 12H 15 G 100.000 5000.000 976.69 1 - 2.51205609E+01 4.67447329E-02-1.71014146E-05 3.27013955E-09-2.43704299E-13 2 - 2.05714948E+04-1.06799180E+02-6.32369841E-01 6.73579780E-02 8.15635523E-05 3 --1.53031384E-07 6.25336831E-11 2.96493908E+04 3.75562024E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + -! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) -C10H13L(22766) C 10H 13 G 100.000 5000.000 1124.77 1 - 4.72177614E+01 1.26278136E-01-5.14114266E-05 9.51874225E-09-6.62396101E-13 2 --1.64048464E+04-2.00050598E+02-9.87042324E+00 2.63759419E-01-1.47352757E-04 3 - 1.45789678E-08 9.72749446E-12 5.83181868E+02 1.00508781E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) -C6H7R(24238) C 6H 7 G 100.000 5000.000 1618.41 1 - 4.92319464E+01 9.19050209E-02-3.59849141E-05 6.33977125E-09-4.20305990E-13 2 --2.25749089E+04-2.23107439E+02-8.32666906E+00 2.34165275E-01-1.67837330E-04 3 - 6.06535579E-08-8.81033265E-12-3.94429851E+03 8.22906301E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- -! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- -! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C9H12R2(24302) C 9H 12 G 100.000 5000.000 1451.65 1 - 7.78877883E+01 1.99789891E-01-8.22533062E-05 1.49915360E-08-1.02026044E-12 2 --4.63686083E+04-3.39754559E+02-1.90286409E+01 4.66841837E-01-3.58200101E-04 3 - 1.41719496E-07-2.28450871E-11-1.82308788E+04 1.63931964E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) -! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) -C9H13R(24328) C 9H 13 G 100.000 5000.000 1411.65 1 - 4.16922572E+01 1.32939943E-01-5.62363472E-05 1.03859389E-08-7.12366357E-13 2 --1.68614102E+04-1.65814611E+02-9.13159504E+00 2.76952612E-01-2.09262299E-04 3 - 8.26540926E-08-1.35108966E-11-2.51231731E+03 9.69030704E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + group(Cs- -! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + ring(Cyclopentene) -C12H15R(24501) C 12H 15 G 100.000 5000.000 1042.72 1 - 5.34606703E+01 1.30539367E-01-5.28281390E-05 9.96820661E-09-7.10137913E-13 2 --1.94491238E+04-2.38368595E+02-1.03887801E+01 2.61886030E-01-7.83750506E-05 3 --7.81696681E-08 4.54694451E-11 4.12699672E+01 1.01949057E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(Cyclopentadiene) -C12H15R(24502) C 12H 15 G 100.000 5000.000 1052.56 1 - 5.14869298E+01 1.32458764E-01-5.32891925E-05 9.96474279E-09-7.04158252E-13 2 --1.92301561E+04-2.25775590E+02-1.04243045E+01 2.66625570E-01-1.00396436E-04 3 --5.14635454E-08 3.55628247E-11-5.96063722E+02 1.02688401E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s1_4_5_ene_1) + radical(cyclopentene-allyl) -C9H13(26444) C 9H 13 G 100.000 5000.000 1005.34 1 - 1.45205208E+01 4.77313085E-02-1.91631477E-05 3.67979294E-09-2.67704983E-13 2 - 1.84519619E+04-5.78210822E+01 9.73303731E-01 4.27648407E-02 7.60799804E-05 3 --1.17723174E-07 4.44058101E-11 2.41507423E+04 2.24039588E+01 4 - -! Thermo library: DFT_QCI_thermo -CC(C)C(29484) C 4H 10 G 100.000 5000.000 987.07 1 - 8.84796655E+00 2.61185538E-02-9.57943992E-06 1.72898565E-09-1.21009648E-13 2 --2.06283022E+04-2.38567537E+01 2.18597861E+00 3.04308348E-02 1.83404174E-05 3 --4.04112424E-08 1.64491188E-11-1.82080424E+04 1.37946297E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + -! radical(cyclopentene-4) -C8H10L(30673) C 8H 10 G 100.000 5000.000 1125.10 1 - 3.94995560E+01 1.19666496E-01-4.89072012E-05 9.06933072E-09-6.31310098E-13 2 --3.43448217E+03-1.65714493E+02-7.95308927E+00 2.25940198E-01-1.07357781E-04 3 --5.61652495E-09 1.35909933E-11 1.11947747E+04 8.63709272E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C8H10L(30674) C 8H 10 G 100.000 5000.000 1058.71 1 - 3.89684089E+01 1.22420645E-01-4.98837484E-05 9.35957622E-09-6.61267737E-13 2 --8.04753996E+03-1.69110529E+02-7.38422832E+00 2.06856934E-01-4.10196979E-05 3 --7.71351247E-08 3.88698273E-11 6.84996030E+03 8.11628566E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s2_5_5_ene_1) + radical(Tertalkyl) -C10H15(32869) C 10H 15 G 100.000 5000.000 1059.42 1 - 1.40167902E+01 5.88103687E-02-2.49768066E-05 4.79494017E-09-3.43025837E-13 2 - 1.17374774E+04-5.16820777E+01 2.96264424E-01 6.06398329E-02 4.31904811E-05 3 --8.26272020E-08 3.07939379E-11 1.74491188E+04 2.85394543E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H15(32871) C 10H 15 G 100.000 5000.000 982.24 1 - 1.88670560E+01 4.91735858E-02-1.86608631E-05 3.59499781E-09-2.66828995E-13 2 - 5.07738465E+03-8.43932536E+01 6.33311152E-01 4.11596222E-02 1.19211328E-04 3 --1.75252809E-07 6.69569806E-11 1.26279064E+04 2.34488474E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -! + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C10H14R(33566) C 10H 14 G 100.000 5000.000 1056.43 1 - 4.50784083E+01 1.32984964E-01-5.43075562E-05 1.02209750E-08-7.24098821E-13 2 --1.84920470E+04-2.02426137E+02-8.91611438E+00 2.34637764E-01-5.26957452E-05 3 --8.28958202E-08 4.31064996E-11-1.34788715E+03 8.81776152E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C9H12R(34500) C 9H 12 G 100.000 5000.000 1056.94 1 - 4.11780874E+01 1.28356687E-01-5.21302175E-05 9.76696138E-09-6.89665106E-13 2 --1.27876366E+04-1.80526734E+02-8.06975435E+00 2.19737199E-01-4.69956979E-05 3 --7.85101762E-08 4.03050139E-11 2.92900942E+03 8.48947908E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s2_5_5_ene_1) + -! radical(Tertalkyl) -C11H15(35243) C 11H 15 G 100.000 5000.000 1052.75 1 - 1.44137484E+01 6.07268850E-02-2.52416560E-05 4.79259399E-09-3.40928773E-13 2 - 2.47132978E+04-4.97583684E+01 4.10989626E-02 6.62676391E-02 3.67795194E-05 3 --7.87582313E-08 3.00143532E-11 3.04585782E+04 3.32345718E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) -! + radical(Allyl_T) -C11H15(35245) C 11H 15 G 100.000 5000.000 977.63 1 - 1.93258694E+01 5.09936874E-02-1.88736444E-05 3.58095218E-09-2.63798485E-13 2 - 1.80242975E+04-8.28233145E+01 3.85944150E-01 4.66784751E-02 1.13266705E-04 3 --1.72121949E-07 6.65548650E-11 2.56370438E+04 2.81170649E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsHH) -C4H7L(36302) C 4H 7 G 100.000 5000.000 1595.43 1 - 4.02358500E+01 9.76264172E-02-3.96754688E-05 7.12836100E-09-4.78392997E-13 2 --3.13133246E+04-1.69077871E+02-6.82156892E+00 2.15604773E-01-1.50594954E-04 3 - 5.34763429E-08-7.74087522E-12-1.62976844E+04 7.99303982E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + -! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds- -! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + -! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) -C7H11L2(36342) C 7H 11 G 100.000 5000.000 1396.30 1 - 5.92438387E+01 2.19654288E-01-9.42932172E-05 1.75336995E-08-1.20725710E-12 2 --3.67317819E+04-2.36087130E+02-1.62884779E+01 4.36032317E-01-3.26740666E-04 3 - 1.28516043E-07-2.10780073E-11-1.56385836E+04 1.53527434E+02 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + -! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + -! radical(cyclopentene-4) -C9H12R(38722) C 9H 12 G 100.000 5000.000 1117.87 1 - 4.16282225E+01 1.25728778E-01-5.12218916E-05 9.49206052E-09-6.60933093E-13 2 --8.13653128E+03-1.76666981E+02-8.63723430E+00 2.38814545E-01-1.13361703E-04 3 --6.88657509E-09 1.49527184E-11 7.27374890E+03 9.00972160E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + -! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + -! polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C9H12R(38723) C 9H 12 G 100.000 5000.000 1056.94 1 - 4.11780874E+01 1.28356687E-01-5.21302175E-05 9.76696138E-09-6.89665106E-13 2 --1.27876366E+04-1.80526734E+02-8.06975435E+00 2.19737199E-01-4.69956979E-05 3 --7.85101762E-08 4.03050139E-11 2.92900942E+03 8.48947908E+01 4 - -! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + -! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - -! ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4) -C9H13(38809) C 9H 13 G 100.000 5000.000 993.35 1 - 1.38864816E+01 4.43859201E-02-1.69449497E-05 3.18051734E-09-2.29181922E-13 2 - 1.61216173E+04-4.99309158E+01 1.03151087E+00 4.40857005E-02 6.21277556E-05 3 --1.02651337E-07 3.96851728E-11 2.12442220E+04 2.49306389E+01 4 - -! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + -! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + -! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- -! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- -! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) -! + polycyclic(s3_5_6_ene_5) + radical(Allyl_T) -C9H12R(39454) C 9H 12 G 100.000 5000.000 1071.03 1 - 4.07146169E+01 1.29458483E-01-5.29168821E-05 9.90931586E-09-6.97879367E-13 2 --1.15529007E+04-1.76759571E+02-8.14244096E+00 2.22920935E-01-5.91592977E-05 3 --6.37963591E-08 3.46179106E-11 4.01747795E+03 8.61318686E+01 4 - -END - - - -REACTIONS KCAL/MOLE MOLES - -! Reaction index: Chemkin #1; RMG #1 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), RC10L(1); C[CH]CC(C)CR(5), RC10L(1); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>RC10L(1) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #2; RMG #2 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), RC10L(1); C[CH]CC(C)L(7), RC10L(1); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>RC10L(1) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #3; RMG #3 -! Library reaction: restart -! Flux pairs: C[CH]L(8), RC10L(1); C7H14R(9), RC10L(1); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C7H14R(9)<=>RC10L(1) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4; RMG #4 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), RC10L(1); C6H12L(11), RC10L(1); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C6H12L(11)<=>RC10L(1) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5; RMG #5 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5R(12)+CC(C)L(13) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #6; RMG #6 -! Library reaction: restart -! Flux pairs: [CH2]R(14), RC10L(1); C8H16L(15), RC10L(1); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]R(14)+C8H16L(15)<=>RC10L(1) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #7; RMG #7 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]CC(C)L(7)<=>C3H5R(12)+CCCC(C)L(16) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #8; RMG #8 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CCCC(C)L(16)<=>CC(C)L(13)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #9; RMG #9 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>CC(C)L(13)+C6H11R(17) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #10; RMG #10 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>CCCC(C)L(16)+C6H11R(17) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #11; RMG #11 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C[CH]CC(C)CR(5); C[CH]CR(10), C[CH]CC(C)CR(5); -! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+C[CH]CR(10)<=>C[CH]CC(C)CR(5) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #12; RMG #12 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]R(14), [CH2]C(C)CR(6); C3H6(18), [CH2]C(C)CR(6); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]R(14)+C3H6(18)<=>[CH2]C(C)CR(6) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #13; RMG #13 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C[CH]CC(C)L(7); C3H6(18), C[CH]CC(C)L(7); -! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C3H6(18)<=>C[CH]CC(C)L(7) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #14; RMG #14 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C7H14R(9); [CH2]C(C)CR(6), C7H14R(9); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+[CH2]C(C)CR(6)<=>C7H14R(9) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #15; RMG #15 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C6H12L(11); [CH2]C(C)L(4), C6H12L(11); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+[CH2]C(C)L(4)<=>C6H12L(11) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #16; RMG #16 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C8H16L(15); C[CH]CC(C)L(7), C8H16L(15); -! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+C[CH]CC(C)L(7)<=>C8H16L(15) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #17; RMG #17 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+[CH2]C(C)L(4)<=>C2H3L(19)+CC(C)L(13) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #18; RMG #18 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CC(C)L(7)<=>C2H3L(19)+CCCC(C)L(16) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #19; RMG #19 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>CC(C)CR(20)+C6H11R(17) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #20; RMG #20 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+[CH2]C(C)CR(6)<=>C2H3L(19)+CC(C)CR(20) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #21; RMG #21 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+[CH2]C(C)CR(6)<=>C3H5R(12)+CC(C)CR(20) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #22; RMG #22 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CC(C)CR(20)<=>CC(C)L(13)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #23; RMG #23 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CCCC(C)L(16)<=>CC(C)CR(20)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #24; RMG #24 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C8H16L(15)<=>CC(C)CR(20)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #25; RMG #25 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C8H16L(15)<=>CC(C)L(13)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #26; RMG #26 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C8H16L(15)<=>CCCC(C)L(16)+C8H15L(21) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #27; RMG #27 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C[CH]CR(10)<=>CR(22)+C3H5R(12) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #28; RMG #28 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C[CH]CC(C)CR(5)<=>CR(22)+C6H11R(17) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #29; RMG #29 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C2H3L(19); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C[CH]L(8)<=>CR(22)+C2H3L(19) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #30; RMG #30 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+CC(C)L(13)<=>CR(22)+[CH2]C(C)L(4) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #31; RMG #31 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C8H16L(15)<=>CR(22)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #32; RMG #32 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CCCC(C)L(16)<=>CR(22)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #33; RMG #33 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+CC(C)CR(20)<=>CR(22)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #34; RMG #34 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H14R(9)<=>C6H11R(17)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #35; RMG #35 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H14R(9)<=>C2H3L(19)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #36; RMG #36 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H14R(9)<=>C3H5R(12)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #37; RMG #37 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CC(C)CC(C)CR(23)<=>CC(C)L(13)+C7H14R(9) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #38; RMG #38 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C8H16L(15)<=>CC(C)CC(C)CR(23)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #39; RMG #39 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C7H14R(9)<=>C[CH]CC(C)L(7)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #40; RMG #40 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CC(C)CC(C)CR(23)<=>CC(C)CR(20)+C7H14R(9) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #41; RMG #41 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+CC(C)CC(C)CR(23)<=>CR(22)+C7H14R(9) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #42; RMG #42 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>CC(C)CR(20)+C5H9L(24) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #43; RMG #43 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>CC(C)L(13)+C5H9L(24) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #44; RMG #44 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C[CH]CC(C)L(7)<=>C5H9L(24)+CCCC(C)L(16) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #45; RMG #45 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H14R(9)<=>C5H9L(24)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #46; RMG #46 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C[CH]CC(C)L(7)<=>CR(22)+C5H9L(24) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #47; RMG #47 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H12L(11)<=>C3H5R(12)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #48; RMG #48 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11R(17)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #49; RMG #49 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H12L(11)<=>C5H9L(24)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #50; RMG #50 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H12L(11)<=>C2H3L(19)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #51; RMG #51 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CC(C)CC(C)L(25)<=>CC(C)L(13)+C6H12L(11) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #52; RMG #52 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C8H16L(15)<=>CC(C)CC(C)L(25)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #53; RMG #53 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C6H12L(11)<=>C[CH]CC(C)L(7)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #54; RMG #54 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CC(C)CC(C)L(25)<=>CC(C)CR(20)+C6H12L(11) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #55; RMG #55 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+CC(C)CC(C)L(25)<=>CR(22)+C6H12L(11) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #56; RMG #56 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H12L(11)+CC(C)CC(C)CR(23)<=>CC(C)CC(C)L(25)+C7H14R(9) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #57; RMG #57 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CC(C)CR(5)<=>CCL(26)+C6H11R(17) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #58; RMG #58 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CC(C)L(7)<=>CCL(26)+C5H9L(24) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #59; RMG #59 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CCL(26); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]L(8)<=>C2H3L(19)+CCL(26) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #60; RMG #60 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CR(10)<=>CCL(26)+C3H5R(12) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #61; RMG #61 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+[CH2]C(C)L(4)<=>C[CH]L(8)+CC(C)L(13) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #62; RMG #62 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C8H16L(15)<=>CCL(26)+C8H15L(21) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #63; RMG #63 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C[CH]CC(C)L(7)<=>C[CH]L(8)+CCCC(C)L(16) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #64; RMG #64 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+[CH2]C(C)CR(6)<=>C[CH]L(8)+CC(C)CR(20) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #65; RMG #65 -! Template reaction: H_Abstraction -! Flux pairs: CCL(26), C[CH]L(8); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CCL(26)<=>CR(22)+C[CH]L(8) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #66; RMG #66 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C7H14R(9)<=>C[CH]L(8)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #67; RMG #67 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C6H12L(11)<=>C[CH]L(8)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #68; RMG #68 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]CR(10)<=>C3H5R(12)+CCCR(27) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #69; RMG #69 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]CC(C)CR(5)<=>CCCR(27)+C6H11R(17) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #70; RMG #70 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]CC(C)L(7)<=>CCCR(27)+C5H9L(24) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #71; RMG #71 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CR(10)<=>C2H3L(19)+CCCR(27) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #72; RMG #72 -! Template reaction: H_Abstraction -! Flux pairs: CCCR(27), CC(C)L(13); [CH2]C(C)L(4), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CCCR(27)<=>C[CH]CR(10)+CC(C)L(13) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #73; RMG #73 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C8H16L(15)<=>CCCR(27)+C8H15L(21) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #74; RMG #74 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C[CH]CC(C)L(7)<=>C[CH]CR(10)+CCCC(C)L(16) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #75; RMG #75 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+[CH2]C(C)CR(6)<=>C[CH]CR(10)+CC(C)CR(20) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #76; RMG #76 -! Template reaction: H_Abstraction -! Flux pairs: CCCR(27), C[CH]CR(10); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CCCR(27)<=>CR(22)+C[CH]CR(10) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #77; RMG #77 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C7H14R(9)<=>C[CH]CR(10)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #78; RMG #78 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C6H12L(11)<=>C[CH]CR(10)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #79; RMG #79 -! Template reaction: H_Abstraction -! Flux pairs: CCCR(27), C[CH]CR(10); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+CCCR(27)<=>CCL(26)+C[CH]CR(10) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #80; RMG #80 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C7H14LR(28); [CH2]C(C)CR(6), C7H14LR(28); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>C7H14LR(28) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #81; RMG #81 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C10H20LR(29); C7H14R(9), C10H20LR(29); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]C(C)L(4)+C7H14R(9)<=>C10H20LR(29) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #82; RMG #82 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C9H18L2(30); C6H12L(11), C9H18L2(30); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]C(C)L(4)+C6H12L(11)<=>C9H18L2(30) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #83; RMG #83 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(L)CCR(31); [CH2]C(C)L(4), CC(L)CCR(31); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]R(14)+[CH2]C(C)L(4)<=>CC(L)CCR(31) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #84; RMG #84 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C[CH]CC(C)CR(5)<=>C6H11R(17)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #85; RMG #85 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>C5H9L(24)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #86; RMG #86 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]CC(C)CR(5)<=>C2H3L(19)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #87; RMG #87 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C3H5R(12)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #88; RMG #88 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CCCC(C)CR(32)<=>CC(C)L(13)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #89; RMG #89 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C8H16L(15)<=>CCCC(C)CR(32)+C8H15L(21) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #90; RMG #90 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+CCCC(C)CR(32)<=>CCCC(C)L(16)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #91; RMG #91 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CCCC(C)CR(32)<=>CC(C)CR(20)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #92; RMG #92 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CCCC(C)CR(32)<=>CR(22)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #93; RMG #93 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), CC(C)CC(C)L(25); C6H12L(11), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+CCCC(C)CR(32)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #94; RMG #94 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C7H14R(9)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #95; RMG #95 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+CCCC(C)CR(32)<=>CCL(26)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #96; RMG #96 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+CCCC(C)CR(32)<=>CCCR(27)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #97; RMG #97 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C8H16L2(33); C[CH]CC(C)L(7), C8H16L2(33); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>C8H16L2(33) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #98; RMG #98 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C8H16L2(33); C6H12L(11), C8H16L2(33); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C6H12L(11)<=>C8H16L2(33) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #99; RMG #99 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(CR)CCR(34); [CH2]C(C)CR(6), CC(CR)CCR(34); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]R(14)+[CH2]C(C)CR(6)<=>CC(CR)CCR(34) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #100; RMG #100 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CC(L)CC(C)L(35); [CH2]C(C)L(4), CC(L)CC(C)L(35); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+[CH2]C(C)L(4)<=>CC(L)CC(C)L(35) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #101; RMG #101 -! Library reaction: restart -! Flux pairs: [CH2]R(14), C8H16R2(36); C7H14R(9), C8H16R2(36); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]R(14)+C7H14R(9)<=>C8H16R2(36) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #102; RMG #102 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CC(L)CC(C)CR(37); [CH2]C(C)CR(6), CC(L)CC(C)CR(37); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+[CH2]C(C)CR(6)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #103; RMG #103 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CC(L)CC(C)CR(37); [CH2]C(C)L(4), CC(L)CC(C)CR(37); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+[CH2]C(C)L(4)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #104; RMG #104 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(L)CC(C)CR(37); C[CH]CC(C)L(7), CC(L)CC(C)CR(37); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]R(14)+C[CH]CC(C)L(7)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #105; RMG #105 -! Library reaction: restart -! Flux pairs: [CH2]R(14), C7H14LR(38); C6H12L(11), C7H14LR(38); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]R(14)+C6H12L(11)<=>C7H14LR(38) 3.187950e+16 -1.177 0.000 - -! Reaction index: Chemkin #106; RMG #106 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C9H18R2(39); C[CH]CC(C)CR(5), C9H18R2(39); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C9H18R2(39) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #107; RMG #107 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C7H14R2(40); [CH2]C(C)CR(6), C7H14R2(40); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+[CH2]C(C)CR(6)<=>C7H14R2(40) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #108; RMG #108 -! Library reaction: restart -! Flux pairs: [CH2]R(14), C7H14R2(40); C[CH]CC(C)CR(5), C7H14R2(40); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]R(14)+C[CH]CC(C)CR(5)<=>C7H14R2(40) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #109; RMG #109 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(L)CR(41); C[CH]L(8), CC(L)CR(41); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]R(14)+C[CH]L(8)<=>CC(L)CR(41) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #110; RMG #110 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(CR)CR(42); C[CH]CR(10), CC(CR)CR(42); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]R(14)+C[CH]CR(10)<=>CC(CR)CR(42) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #111; RMG #111 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C8H16LR(43); C[CH]CC(C)CR(5), C8H16LR(43); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C[CH]CC(C)CR(5)<=>C8H16LR(43) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #112; RMG #112 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C8H16LR(44); C[CH]CC(C)L(7), C8H16LR(44); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C[CH]CC(C)L(7)<=>C8H16LR(44) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #113; RMG #113 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(L)CCC(C)L(45); [CH2]C(C)L(4), CC(L)CCC(C)L(45); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]C(C)L(4)+[CH2]C(C)L(4)<=>CC(L)CCC(C)L(45) 1.593980e+16 -1.177 0.000 - -! Reaction index: Chemkin #114; RMG #114 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C7H14L2(46); C[CH]CC(C)L(7), C7H14L2(46); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C[CH]CC(C)L(7)<=>C7H14L2(46) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #115; RMG #115 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CC(L)C(C)CR(47); C[CH]CR(10), CC(L)C(C)CR(47); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C[CH]CR(10)<=>CC(L)C(C)CR(47) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #116; RMG #116 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C10H20R2(48); C[CH]CC(C)CR(5), C10H20R2(48); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>C10H20R2(48) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #117; RMG #117 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C10H20R2(48); C7H14R(9), C10H20R2(48); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C7H14R(9)<=>C10H20R2(48) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #118; RMG #118 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C8H16L(15)<=>C3H5R(12)+C8H17L(49) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #119; RMG #119 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C8H16L(15)<=>C6H11R(17)+C8H17L(49) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #120; RMG #120 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C8H16L(15)<=>C5H9L(24)+C8H17L(49) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #121; RMG #121 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C8H16L(15)<=>C2H3L(19)+C8H17L(49) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #122; RMG #122 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C8H17L(49)<=>CC(C)L(13)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #123; RMG #123 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C8H16L(15)<=>C8H15L(21)+C8H17L(49) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #124; RMG #124 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C8H17L(49)<=>CCCC(C)L(16)+C8H16L(15) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #125; RMG #125 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C8H17L(49)<=>CR(22)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #126; RMG #126 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C8H17L(49)<=>CC(C)CR(20)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #127; RMG #127 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C8H17L(49)<=>CC(C)CC(C)L(25)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #128; RMG #128 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C8H17L(49)<=>CCL(26)+C8H16L(15) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #129; RMG #129 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C8H17L(49)<=>CCCR(27)+C8H16L(15) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #130; RMG #130 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C8H17L(49)<=>CCCC(C)CR(32)+C8H16L(15) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #131; RMG #131 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C8H17L(49)<=>CC(C)CC(C)CR(23)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #132; RMG #132 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C11H22L2(50); C6H12L(11), C11H22L2(50); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CC(C)L(7)+C6H12L(11)<=>C11H22L2(50) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #133; RMG #133 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C11H22L2(50); C8H16L(15), C11H22L2(50); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)L(4)+C8H16L(15)<=>C11H22L2(50) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #134; RMG #134 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CC(L)C(C)L(51); C[CH]L(8), CC(L)C(C)L(51); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C[CH]L(8)<=>CC(L)C(C)L(51) 1.740640e+13 -0.158 0.000 - -! Reaction index: Chemkin #135; RMG #135 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CC(CR)C(C)CR(52); C[CH]CR(10), CC(CR)C(C)CR(52); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C[CH]CR(10)<=>CC(CR)C(C)CR(52) 1.740640e+13 -0.158 0.000 - -! Reaction index: Chemkin #136; RMG #136 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C10H20L2(53); C8H16L(15), C10H20L2(53); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C8H16L(15)<=>C10H20L2(53) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #137; RMG #137 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C11H22LR(54); C8H16L(15), C11H22LR(54); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C8H16L(15)<=>C11H22LR(54) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #138; RMG #138 -! Library reaction: restart -! Flux pairs: [CH2]R(14), RCCR(55); [CH2]R(14), RCCR(55); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R -[CH2]R(14)+[CH2]R(14)<=>RCCR(55) 1.593980e+16 -1.177 0.000 - -! Reaction index: Chemkin #139; RMG #139 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C[CH]CC(C)CR(5)<=>C6H11R(56)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #140; RMG #140 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>CC(C)L(13)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #141; RMG #141 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>CC(C)CR(20)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #142; RMG #142 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>CCCC(C)L(16)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #143; RMG #143 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H14R(9)<=>C6H11R(56)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #144; RMG #144 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C[CH]CC(C)CR(5)<=>CCL(26)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #145; RMG #145 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]CC(C)CR(5)<=>CCCR(27)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #146; RMG #146 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11R(56)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #147; RMG #147 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C[CH]CC(C)CR(5)<=>CR(22)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #148; RMG #148 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C8H16L(15)<=>C6H11R(56)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #149; RMG #149 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>CC(C)CR(20)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #150; RMG #150 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>C5H9L(57)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #151; RMG #151 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>CC(C)L(13)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #152; RMG #152 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C[CH]CC(C)L(7)<=>C5H9L(57)+CCCC(C)L(16) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #153; RMG #153 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H14R(9)<=>C5H9L(57)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #154; RMG #154 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C[CH]CC(C)L(7)<=>CCL(26)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #155; RMG #155 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]CC(C)L(7)<=>CCCR(27)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #156; RMG #156 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H12L(11)<=>C5H9L(57)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #157; RMG #157 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C[CH]CC(C)L(7)<=>CR(22)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #158; RMG #158 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C8H16L(15)<=>C5H9L(57)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #159; RMG #159 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+[CH2]C(C)CR(6)<=>C3H5R(58)+CC(C)CR(20) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #160; RMG #160 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]CR(10)<=>C3H5R(58)+CCCR(27) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #161; RMG #161 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C3H5R(58)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #162; RMG #162 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5R(58)+CC(C)L(13) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #163; RMG #163 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H14R(9)<=>C3H5R(58)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #164; RMG #164 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]CC(C)L(7)<=>C3H5R(58)+CCCC(C)L(16) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #165; RMG #165 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C[CH]CR(10)<=>CCL(26)+C3H5R(58) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #166; RMG #166 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H12L(11)<=>C3H5R(58)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #167; RMG #167 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C[CH]CR(10)<=>CR(22)+C3H5R(58) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #168; RMG #168 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C8H16L(15)<=>C3H5R(58)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #169; RMG #169 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>C3H5L(59)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #170; RMG #170 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]C(C)L(4)<=>C3H5L(59)+CC(C)L(13) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #171; RMG #171 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>C3H5L(59)+CC(C)CR(20) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #172; RMG #172 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>C3H5L(59)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #173; RMG #173 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C7H14R(9)<=>C3H5L(59)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #174; RMG #174 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+[CH2]C(C)L(4)<=>CCL(26)+C3H5L(59) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #175; RMG #175 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CCCR(27); C[CH]CR(10), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5L(59)+CCCR(27) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #176; RMG #176 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H12L(11)<=>C3H5L(59)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #177; RMG #177 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+[CH2]C(C)L(4)<=>CR(22)+C3H5L(59) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #178; RMG #178 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C8H16L(15)<=>C3H5L(59)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #179; RMG #179 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+[CH2]C(C)CR(6)<=>C4H7R(60)+CC(C)CR(20) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #180; RMG #180 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>C4H7R(60)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #181; RMG #181 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>CC(C)L(13)+C4H7R(60) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #182; RMG #182 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>C4H7R(60)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #183; RMG #183 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C7H14R(9)<=>C4H7R(60)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #184; RMG #184 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+[CH2]C(C)CR(6)<=>CCL(26)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #185; RMG #185 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+[CH2]C(C)CR(6)<=>CCCR(27)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #186; RMG #186 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H12L(11)<=>C4H7R(60)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #187; RMG #187 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+[CH2]C(C)CR(6)<=>CR(22)+C4H7R(60) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #188; RMG #188 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C8H16L(15)<=>C4H7R(60)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #189; RMG #189 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C8H16L(15)<=>CC(C)CR(20)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #190; RMG #190 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C8H16L(15)<=>CCCR(27)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #191; RMG #191 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C8H16L(15)<=>CCCC(C)CR(32)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #192; RMG #192 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C8H16L(15)<=>CC(C)L(13)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #193; RMG #193 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C8H16L(15)<=>CC(C)CC(C)CR(23)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #194; RMG #194 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C8H16L(15)<=>CCCC(C)L(16)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #195; RMG #195 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C8H16L(15)<=>CCL(26)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #196; RMG #196 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C8H16L(15)<=>CC(C)CC(C)L(25)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #197; RMG #197 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C8H16L(15)<=>CR(22)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #198; RMG #198 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C8H16L(15)<=>C8H15L(61)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #199; RMG #199 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C7H14R(9)<=>CC(C)CR(20)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #200; RMG #200 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CC(C)CR(5)+C7H14R(9)<=>CCCC(C)CR(32)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #201; RMG #201 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C7H14R(9)<=>CC(C)L(13)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #202; RMG #202 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H14R(9)+C7H14R(9)<=>C7H13R(62)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #203; RMG #203 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CC(C)L(7)+C7H14R(9)<=>CCCC(C)L(16)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #204; RMG #204 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+C7H14R(9)<=>CCL(26)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #205; RMG #205 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+C7H14R(9)<=>CCCR(27)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #206; RMG #206 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C7H14R(9)<=>CC(C)CC(C)L(25)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #207; RMG #207 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+C7H14R(9)<=>CR(22)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #208; RMG #208 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C8H16L(15)<=>C7H13R(62)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #209; RMG #209 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H12L(11)<=>CC(C)CR(20)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #210; RMG #210 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+C6H12L(11)<=>CCCR(27)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #211; RMG #211 -! Library reaction: restart -! Flux pairs: C6H12L(11), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11L(63)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #212; RMG #212 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H12L(11)<=>CC(C)L(13)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #213; RMG #213 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C7H14R(9)<=>C6H11L(63)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #214; RMG #214 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CC(C)L(7)+C6H12L(11)<=>CCCC(C)L(16)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #215; RMG #215 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+C6H12L(11)<=>CCL(26)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #216; RMG #216 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C6H12L(11)<=>C6H11L(63)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #217; RMG #217 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+C6H12L(11)<=>CR(22)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #218; RMG #218 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C8H16L(15)<=>C6H11L(63)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #219; RMG #219 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C10H20R(64)<=>C[CH]CC(C)CR(5)+RC10(2) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #220; RMG #220 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10(2)<=>CC(C)L(13)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #221; RMG #221 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10(2)<=>CC(C)CR(20)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #222; RMG #222 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C10H20R(64)<=>C[CH]CC(C)L(7)+RC10(2) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #223; RMG #223 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+RC10(2)<=>CC(C)CC(C)CR(23)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #224; RMG #224 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C10H20R(64)<=>C[CH]L(8)+RC10(2) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #225; RMG #225 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C10H20R(64)<=>C[CH]CR(10)+RC10(2) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #226; RMG #226 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+RC10(2)<=>CC(C)CC(C)L(25)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #227; RMG #227 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H20R(64)<=>C3H5R(12)+RC10(2) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #228; RMG #228 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+RC10(2)<=>CR(22)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #229; RMG #229 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C10H20R(64)<=>C8H16L(15)+RC10(2) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #230; RMG #230 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H20R(64)<=>C6H11R(17)+RC10(2) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #231; RMG #231 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H20R(64)<=>C2H3L(19)+RC10(2) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #232; RMG #232 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H20R(64)<=>C8H15L(21)+RC10(2) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #233; RMG #233 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H20R(64)<=>C5H9L(24)+RC10(2) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #234; RMG #234 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H20R(64)<=>C6H11R(56)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #235; RMG #235 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H20R(64)<=>C5H9L(57)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #236; RMG #236 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H20R(64)<=>C3H5R(58)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #237; RMG #237 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C10H20R(64)<=>C3H5L(59)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #238; RMG #238 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C10H20R(64)<=>C4H7R(60)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #239; RMG #239 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H20R(64)<=>C8H15L(61)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #240; RMG #240 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C10H20R(64)<=>C7H13R(62)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #241; RMG #241 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C10H20R(64)<=>C6H11L(63)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #242; RMG #242 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(65) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #243; RMG #243 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #244; RMG #244 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #245; RMG #245 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(65) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #246; RMG #246 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #247; RMG #247 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(65) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #248; RMG #248 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(65) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #249; RMG #249 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #250; RMG #250 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(65)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #251; RMG #251 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #252; RMG #252 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C8H16L(15), C8H17L(49); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(65) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #253; RMG #253 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(65)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #254; RMG #254 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(65)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #255; RMG #255 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(65)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #256; RMG #256 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(65)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #257; RMG #257 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(65)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #258; RMG #258 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(65)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #259; RMG #259 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(65)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #260; RMG #260 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(65)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #261; RMG #261 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(65)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #262; RMG #262 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(65)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #263; RMG #263 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(65)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #264; RMG #264 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(65)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #265; RMG #265 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20R(64)<=>C9H17LR(65)+RC10(2) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #266; RMG #266 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C9H17LR(65); C7H13R(62), C9H17LR(65); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C7H13R(62)<=>C9H17LR(65) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #267; RMG #267 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C9H17LR(65); C6H11L(63), C9H17LR(65); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C6H11L(63)<=>C9H17LR(65) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #268; RMG #268 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(66)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #269; RMG #269 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #270; RMG #270 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #271; RMG #271 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(66)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #272; RMG #272 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #273; RMG #273 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(66)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #274; RMG #274 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(66)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #275; RMG #275 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #276; RMG #276 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(66)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #277; RMG #277 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #278; RMG #278 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(66)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #279; RMG #279 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(66)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #280; RMG #280 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(66)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #281; RMG #281 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(66)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #282; RMG #282 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(66)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #283; RMG #283 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(66)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #284; RMG #284 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]C(C)L(4), C9H17LR(66); C6H11R(56), C9H17LR(66); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]C(C)L(4)+C6H11R(56)<=>C9H17LR(66) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #285; RMG #285 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(66)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #286; RMG #286 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(66)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #287; RMG #287 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(66)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #288; RMG #288 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(66)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #289; RMG #289 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(66)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #290; RMG #290 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(66)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #291; RMG #291 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(66)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #292; RMG #292 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #293; RMG #293 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(66)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #294; RMG #294 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]R(14), C9H17LR(66); C8H15L(61), C9H17LR(66); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]R(14)+C8H15L(61)<=>C9H17LR(66) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #295; RMG #295 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(67)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #296; RMG #296 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #297; RMG #297 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #298; RMG #298 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(67)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #299; RMG #299 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #300; RMG #300 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(67)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #301; RMG #301 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(67)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #302; RMG #302 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #303; RMG #303 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(67)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #304; RMG #304 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #305; RMG #305 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(67)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #306; RMG #306 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(67)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #307; RMG #307 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(67)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #308; RMG #308 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(67)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #309; RMG #309 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(67)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #310; RMG #310 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(67)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #311; RMG #311 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(67)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #312; RMG #312 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(67)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #313; RMG #313 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(58), C9H17LR(67); C6H12L(11), C9H17LR(67); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5R(58)+C6H12L(11)<=>C9H17LR(67) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #314; RMG #314 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(67)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #315; RMG #315 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(67)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #316; RMG #316 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(67)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #317; RMG #317 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(67)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #318; RMG #318 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(67)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #319; RMG #319 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #320; RMG #320 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(67)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #321; RMG #321 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #322; RMG #322 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(68)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #323; RMG #323 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #324; RMG #324 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #325; RMG #325 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(68)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #326; RMG #326 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #327; RMG #327 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(68)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #328; RMG #328 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(68)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #329; RMG #329 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #330; RMG #330 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(68)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #331; RMG #331 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #332; RMG #332 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(68)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #333; RMG #333 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(68)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #334; RMG #334 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(68)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #335; RMG #335 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(68)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #336; RMG #336 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(68)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #337; RMG #337 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(68)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #338; RMG #338 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(68)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #339; RMG #339 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(68)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #340; RMG #340 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(68)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #341; RMG #341 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(68)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #342; RMG #342 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(68)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #343; RMG #343 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(68)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #344; RMG #344 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(68)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #345; RMG #345 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #346; RMG #346 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(68)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #347; RMG #347 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]C(C)CR(6), C9H17LR(68); C5H9L(57), C9H17LR(68); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]C(C)CR(6)+C5H9L(57)<=>C9H17LR(68) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #348; RMG #348 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #349; RMG #349 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #350; RMG #350 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(69) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #351; RMG #351 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #352; RMG #352 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #353; RMG #353 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(69) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #354; RMG #354 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #355; RMG #355 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(69) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #356; RMG #356 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(69) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #357; RMG #357 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #358; RMG #358 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(69)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #359; RMG #359 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #360; RMG #360 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C8H16L(15), C8H17L(49); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(69) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #361; RMG #361 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(69)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #362; RMG #362 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(69)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #363; RMG #363 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(69)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #364; RMG #364 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(69)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #365; RMG #365 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(69)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #366; RMG #366 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(69)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #367; RMG #367 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(69)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #368; RMG #368 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(69)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #369; RMG #369 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(69)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #370; RMG #370 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(69)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #371; RMG #371 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(69)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #372; RMG #372 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(69)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #373; RMG #373 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20R(64)<=>C9H17LR(69)+RC10(2) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #374; RMG #374 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(69), C9H17LR(65); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(69)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 5.420000e-04 4.340 4.900 - -! Reaction index: Chemkin #375; RMG #375 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C9H17LR(69); C[CH]CC(C)L(7), C9H17LR(69); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H7R(60)+C[CH]CC(C)L(7)<=>C9H17LR(69) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #376; RMG #376 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(66)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #377; RMG #377 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(67)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #378; RMG #378 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(68)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #379; RMG #379 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(70)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #380; RMG #380 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(C)L(13), [CH2]C(C)L(4); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)L(13)+C9H17LR(70)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #381; RMG #381 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CR(20)+C9H17LR(70)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #382; RMG #382 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(70)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #383; RMG #383 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)CR(23)+C9H17LR(70)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #384; RMG #384 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(70)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #385; RMG #385 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(70)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #386; RMG #386 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)L(25), C6H12L(11); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)L(25)+C9H17LR(70)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #387; RMG #387 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(70)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #388; RMG #388 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(70); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(70) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #389; RMG #389 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(70)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #390; RMG #390 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(70)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #391; RMG #391 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(70)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #392; RMG #392 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), C9H17LR(70); C7H14R(9), C9H17LR(70); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C2H3L(19)+C7H14R(9)<=>C9H17LR(70) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #393; RMG #393 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(70)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #394; RMG #394 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(70)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #395; RMG #395 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(70)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #396; RMG #396 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(70)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #397; RMG #397 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(70)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #398; RMG #398 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C9H17LR(70)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #399; RMG #399 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C9H17LR(70)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #400; RMG #400 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(70)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #401; RMG #401 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H14R(9)+C9H17LR(70)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #402; RMG #402 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C9H17LR(70)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #403; RMG #403 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #404; RMG #404 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #405; RMG #405 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #406; RMG #406 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #407; RMG #407 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(68); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #408; RMG #408 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #409; RMG #409 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(71)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #410; RMG #410 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(C)L(13), [CH2]C(C)L(4); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)L(13)+C9H17LR(71)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #411; RMG #411 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CR(20)+C9H17LR(71)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #412; RMG #412 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(71)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #413; RMG #413 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)CR(23)+C9H17LR(71)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #414; RMG #414 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(71)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #415; RMG #415 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(71)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #416; RMG #416 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)L(25), C6H12L(11); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)L(25)+C9H17LR(71)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #417; RMG #417 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(71)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #418; RMG #418 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(12), C9H17LR(71); C6H12L(11), C9H17LR(71); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5R(12)+C6H12L(11)<=>C9H17LR(71) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #419; RMG #419 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(71); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(71) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #420; RMG #420 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(71)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #421; RMG #421 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(71)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #422; RMG #422 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(71)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #423; RMG #423 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(71)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #424; RMG #424 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]R(14), C9H17LR(71); C8H15L(21), C9H17LR(71); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]R(14)+C8H15L(21)<=>C9H17LR(71) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #425; RMG #425 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(71)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #426; RMG #426 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(71)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #427; RMG #427 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(71)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #428; RMG #428 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(71)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #429; RMG #429 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C9H17LR(71)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #430; RMG #430 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C9H17LR(71)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #431; RMG #431 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(71)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #432; RMG #432 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H14R(9)+C9H17LR(71)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #433; RMG #433 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C9H17LR(71)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #434; RMG #434 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #435; RMG #435 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #436; RMG #436 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #437; RMG #437 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #438; RMG #438 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(68); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #439; RMG #439 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #440; RMG #440 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(70); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(70)+RC10L(1) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #441; RMG #441 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(72) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #442; RMG #442 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #443; RMG #443 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #444; RMG #444 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(72) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #445; RMG #445 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #446; RMG #446 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(72) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #447; RMG #447 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(72) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #448; RMG #448 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #449; RMG #449 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(72)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #450; RMG #450 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #451; RMG #451 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C8H16L(15), C8H17L(49); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(72) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #452; RMG #452 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(72)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #453; RMG #453 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(72)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #454; RMG #454 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(72)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #455; RMG #455 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(72)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #456; RMG #456 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(72)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #457; RMG #457 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(72)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #458; RMG #458 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(72)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #459; RMG #459 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C9H17LR(72)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #460; RMG #460 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H17LR(72); C[CH]CC(C)CR(5), C9H17LR(72); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(59)+C[CH]CC(C)CR(5)<=>C9H17LR(72) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #461; RMG #461 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C9H17LR(72)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #462; RMG #462 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(72)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #463; RMG #463 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C9H17LR(72)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #464; RMG #464 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C9H17LR(72)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #465; RMG #465 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20R(64)<=>C9H17LR(72)+RC10(2) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #466; RMG #466 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(72), C9H17LR(65); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(72)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 5.420000e-04 4.340 4.900 - -! Reaction index: Chemkin #467; RMG #467 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(66)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #468; RMG #468 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(67)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #469; RMG #469 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(68)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #470; RMG #470 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(72), C9H17LR(69); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(72)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 5.420000e-04 4.340 4.900 - -! Reaction index: Chemkin #471; RMG #471 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(70)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #472; RMG #472 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(71)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #473; RMG #473 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C9H17LR(73)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #474; RMG #474 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(C)L(13), [CH2]C(C)L(4); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)L(13)+C9H17LR(73)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #475; RMG #475 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CR(20)+C9H17LR(73)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #476; RMG #476 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C9H17LR(73)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #477; RMG #477 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)CR(23)+C9H17LR(73)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #478; RMG #478 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C9H17LR(73)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #479; RMG #479 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C9H17LR(73)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #480; RMG #480 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)L(25), C6H12L(11); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CC(C)L(25)+C9H17LR(73)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #481; RMG #481 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H17LR(73)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #482; RMG #482 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(73); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(73) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #483; RMG #483 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C9H17LR(73)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #484; RMG #484 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H17LR(73)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #485; RMG #485 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]C(C)L(4), C9H17LR(73); C6H11R(17), C9H17LR(73); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]C(C)L(4)+C6H11R(17)<=>C9H17LR(73) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #486; RMG #486 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H17LR(73)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #487; RMG #487 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H17LR(73)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #488; RMG #488 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H17LR(73)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #489; RMG #489 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]C(C)CR(6), C9H17LR(73); C5H9L(24), C9H17LR(73); -! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]C(C)CR(6)+C5H9L(24)<=>C9H17LR(73) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #490; RMG #490 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H17LR(73)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #491; RMG #491 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H17LR(73)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #492; RMG #492 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H17LR(73)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #493; RMG #493 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C9H17LR(73)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #494; RMG #494 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C9H17LR(73)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #495; RMG #495 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H17LR(73)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #496; RMG #496 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H14R(9)+C9H17LR(73)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #497; RMG #497 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C9H17LR(73)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #498; RMG #498 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #499; RMG #499 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #500; RMG #500 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #501; RMG #501 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #502; RMG #502 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(68); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #503; RMG #503 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #504; RMG #504 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(70); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(70)+RC10L(1) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #505; RMG #505 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(71); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(71)+RC10L(1) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #506; RMG #506 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C9H17LR(73)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #507; RMG #507 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), [CH2]C(C)L(4); C2H3L(19), [CH2]C(C)L(4); -! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C2H3L(19)<=>[CH2]C(C)L(4) 1.580000e+02 2.966 6.337 - -! Reaction index: Chemkin #508; RMG #508 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), [CH2]C(C)CR(6); C3H5R(12), [CH2]C(C)CR(6); -! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C3H5R(12)<=>[CH2]C(C)CR(6) 1.580000e+02 2.966 6.337 - -! Reaction index: Chemkin #509; RMG #509 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C7H14R(9); C6H11R(17), C7H14R(9); -! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C6H11R(17)<=>C7H14R(9) 1.580000e+02 2.966 6.337 - -! Reaction index: Chemkin #510; RMG #510 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C6H12L(11); C5H9L(24), C6H12L(11); -! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C5H9L(24)<=>C6H12L(11) 1.580000e+02 2.966 6.337 - -! Reaction index: Chemkin #511; RMG #511 -! Library reaction: restart -! Flux pairs: CH3(74), CC(C)L(13); C[CH]L(8), CC(C)L(13); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C[CH]L(8)<=>CC(C)L(13) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #512; RMG #512 -! Library reaction: restart -! Flux pairs: CH3(74), CC(C)CR(20); C[CH]CR(10), CC(C)CR(20); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C[CH]CR(10)<=>CC(C)CR(20) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #513; RMG #513 -! Library reaction: restart -! Flux pairs: CH3(74), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), CC(C)CC(C)CR(23); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C[CH]CC(C)CR(5)<=>CC(C)CC(C)CR(23) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #514; RMG #514 -! Library reaction: restart -! Flux pairs: CH3(74), CC(C)CC(C)L(25); C[CH]CC(C)L(7), CC(C)CC(C)L(25); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C[CH]CC(C)L(7)<=>CC(C)CC(C)L(25) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #515; RMG #515 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); CH3(74), C(75); -! From training reaction 953 used for C/H/Cs3;C_methyl -! Exact match found for rate rule [C/H/Cs3;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(65) 1.130000e-02 4.340 7.690 - -! Reaction index: Chemkin #516; RMG #516 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); CH3(74), C(75); -! From training reaction 953 used for C/H/Cs3;C_methyl -! Exact match found for rate rule [C/H/Cs3;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(69) 1.130000e-02 4.340 7.690 - -! Reaction index: Chemkin #517; RMG #517 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(66) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #518; RMG #518 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(68) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #519; RMG #519 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); CH3(74), C(75); -! From training reaction 953 used for C/H/Cs3;C_methyl -! Exact match found for rate rule [C/H/Cs3;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(72) 1.130000e-02 4.340 7.690 - -! Reaction index: Chemkin #520; RMG #520 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(73); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(73) 1.419000e+00 3.600 11.050 - -! Reaction index: Chemkin #521; RMG #521 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(71); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(71) 1.419000e+00 3.600 11.050 - -! Reaction index: Chemkin #522; RMG #522 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(67) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #523; RMG #523 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(70); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+RC10L(1)<=>C(75)+C9H17LR(70) 1.419000e+00 3.600 11.050 - -! Reaction index: Chemkin #524; RMG #524 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+RC10(2)<=>C(75)+C10H20R(64) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #525; RMG #525 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+[CH2]C(C)CR(6)<=>C(75)+C4H7R(60) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #526; RMG #526 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #527; RMG #527 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(12) 1.225850e+27 -4.376 3.228 - -! Reaction index: Chemkin #528; RMG #528 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+[CH2]C(C)L(4)<=>C(75)+C3H5L(59) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #529; RMG #529 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C2H3L(19); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C[CH]L(8)<=>C(75)+C2H3L(19) 1.225850e+27 -4.376 3.228 - -! Reaction index: Chemkin #530; RMG #530 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+C6H12L(11)<=>C(75)+C6H11L(63) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #531; RMG #531 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+CC(C)L(13)<=>C(75)+[CH2]C(C)L(4) 2.838000e+00 3.600 11.050 - -! Reaction index: Chemkin #532; RMG #532 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+CCCC(C)L(16)<=>C(75)+C[CH]CC(C)L(7) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #533; RMG #533 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+CC(C)CR(20)<=>C(75)+[CH2]C(C)CR(6) 2.838000e+00 3.600 11.050 - -! Reaction index: Chemkin #534; RMG #534 -! Template reaction: H_Abstraction -! Flux pairs: CR(22), C(75); CH3(74), [CH2]R(14); -! Estimated using template [C/H3/Cs\OneNonDe;C_methyl] for rate rule [C/H3/Cs\H2\Cs;C_methyl] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+CR(22)<=>[CH2]R(14)+C(75) 2.000000e+00 3.570 7.717 - -! Reaction index: Chemkin #535; RMG #535 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+CC(C)CC(C)CR(23)<=>C(75)+C7H14R(9) 2.838000e+00 3.600 11.050 - -! Reaction index: Chemkin #536; RMG #536 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+CC(C)CC(C)L(25)<=>C(75)+C6H12L(11) 2.838000e+00 3.600 11.050 - -! Reaction index: Chemkin #537; RMG #537 -! Template reaction: H_Abstraction -! Flux pairs: CCL(26), C[CH]L(8); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+CCL(26)<=>C(75)+C[CH]L(8) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #538; RMG #538 -! Template reaction: H_Abstraction -! Flux pairs: CCCR(27), C[CH]CR(10); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+CCCR(27)<=>C(75)+C[CH]CR(10) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #539; RMG #539 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+CCCC(C)CR(32)<=>C(75)+C[CH]CC(C)CR(5) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #540; RMG #540 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+C8H17L(49)<=>C(75)+C8H16L(15) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #541; RMG #541 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C10H20L(76)<=>C[CH]CC(C)CR(5)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #542; RMG #542 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+LC10(3)<=>CC(C)L(13)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #543; RMG #543 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+LC10(3)<=>CC(C)CR(20)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #544; RMG #544 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C10H20L(76)<=>C[CH]CC(C)L(7)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #545; RMG #545 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+LC10(3)<=>CC(C)CC(C)CR(23)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #546; RMG #546 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C10H20L(76)<=>C[CH]L(8)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #547; RMG #547 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C10H20L(76)<=>C[CH]CR(10)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #548; RMG #548 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+LC10(3)<=>CC(C)CC(C)L(25)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #549; RMG #549 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H20L(76)<=>C3H5R(12)+LC10(3) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #550; RMG #550 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+LC10(3)<=>CR(22)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #551; RMG #551 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C8H17L(49)+C10H20L(76)<=>C8H16L(15)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #552; RMG #552 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H20L(76)<=>C6H11R(17)+LC10(3) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #553; RMG #553 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H20L(76)<=>C2H3L(19)+LC10(3) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #554; RMG #554 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H20L(76)<=>C8H15L(21)+LC10(3) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #555; RMG #555 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H20L(76)<=>C5H9L(24)+LC10(3) 1.225850e+27 -4.376 4.138 - -! Reaction index: Chemkin #556; RMG #556 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H20L(76)<=>C6H11R(56)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #557; RMG #557 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H20L(76)<=>C5H9L(57)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #558; RMG #558 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H20L(76)<=>C3H5R(58)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #559; RMG #559 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C10H20L(76)<=>C3H5L(59)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #560; RMG #560 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C10H20L(76)<=>C4H7R(60)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #561; RMG #561 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H20L(76)<=>C8H15L(61)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #562; RMG #562 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C10H20L(76)<=>C7H13R(62)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #563; RMG #563 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C10H20L(76)<=>C6H11L(63)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #564; RMG #564 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), LC10(3); C10H20L(76), C10H20R(64); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C10H20L(76)+RC10(2)<=>C10H20R(64)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #565; RMG #565 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(65)+LC10(3) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #566; RMG #566 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(66)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #567; RMG #567 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(67)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #568; RMG #568 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(68); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(68)+LC10(3) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #569; RMG #569 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #570; RMG #570 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(69)+LC10(3) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #571; RMG #571 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #572; RMG #572 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #573; RMG #573 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); CH3(74), C(75); -! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+LC10(3)<=>C(75)+C10H20L(76) 1.606000e-02 4.340 6.610 - -! Reaction index: Chemkin #574; RMG #574 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H20L(76)<=>C9H17LR(72)+LC10(3) 1.277120e-04 4.473 6.257 - -! Reaction index: Chemkin #575; RMG #575 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(17) 1.225850e+27 -4.376 3.114 - -! Reaction index: Chemkin #576; RMG #576 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C8H16L(15)<=>C(75)+C8H15L(21) 1.225850e+27 -4.376 3.114 - -! Reaction index: Chemkin #577; RMG #577 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(24) 1.225850e+27 -4.376 3.114 - -! Reaction index: Chemkin #578; RMG #578 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(56) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #579; RMG #579 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(56) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #580; RMG #580 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(57) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #581; RMG #581 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(57) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #582; RMG #582 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #583; RMG #583 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #584; RMG #584 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C8H16L(15)<=>C(75)+C8H15L(61) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #585; RMG #585 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C8H16L(15)<=>C(75)+C8H15L(61) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #586; RMG #586 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+C7H14R(9)<=>C(75)+C7H13R(62) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #587; RMG #587 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C5H9L(57)<=>CCCR(27)+C5H8L(77) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #588; RMG #588 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H9L(57)<=>CC(C)L(13)+C5H8L(77) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #589; RMG #589 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C5H9L(57)<=>CCL(26)+C5H8L(77) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #590; RMG #590 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H8L(77)<=>C3H5R(12)+C5H9L(57) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #591; RMG #591 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C5H9L(57)<=>CR(22)+C5H8L(77) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #592; RMG #592 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(17) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #593; RMG #593 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H8L(77)<=>C2H3L(19)+C5H9L(57) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #594; RMG #594 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H16L(15)<=>C5H9L(57)+C8H15L(21) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #595; RMG #595 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(77), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #596; RMG #596 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #597; RMG #597 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #598; RMG #598 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H8L(77)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #599; RMG #599 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C5H8L(77)<=>C3H5L(59)+C5H9L(57) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #600; RMG #600 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C5H8L(77)<=>C4H7R(60)+C5H9L(57) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #601; RMG #601 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H9L(57)<=>CC(C)CR(20)+C5H8L(77) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #602; RMG #602 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C[CH]CC(C)L(7)<=>C5H8L(77)+CCCC(C)L(16) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #603; RMG #603 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C8H16L(15)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #604; RMG #604 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C7H14R(9)<=>C5H9L(57)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #605; RMG #605 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C6H12L(11)<=>C5H9L(57)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #606; RMG #606 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C10H20R(64)<=>C5H8L(77)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #607; RMG #607 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C5H9L(57), C5H8L(77); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(65)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #608; RMG #608 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C[CH]CC(C)CR(5)<=>C5H8L(77)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #609; RMG #609 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C7H14R(9)<=>C5H8L(77)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #610; RMG #610 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H12L(11)<=>C5H8L(77)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #611; RMG #611 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(66)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #612; RMG #612 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(67)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #613; RMG #613 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(68)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #614; RMG #614 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C8H16L(15)<=>C5H8L(77)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #615; RMG #615 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C5H9L(57), C5H8L(77); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(69)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #616; RMG #616 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(70)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #617; RMG #617 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(71)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #618; RMG #618 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C5H9L(57), C5H8L(77); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(72)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #619; RMG #619 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(73)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #620; RMG #620 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C5H9L(57)<=>C(75)+C5H8L(77) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #621; RMG #621 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C10H20L(76)<=>C5H8L(77)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #622; RMG #622 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+[CH2]C(C)CR(6)<=>C3H4R(78)+CC(C)CR(20) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #623; RMG #623 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CR(10), CCCR(27); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C[CH]CR(10)<=>C3H4R(78)+CCCR(27) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #624; RMG #624 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C[CH]CC(C)CR(5)<=>C3H4R(78)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #625; RMG #625 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+[CH2]C(C)L(4)<=>C3H4R(78)+CC(C)L(13) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #626; RMG #626 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C7H14R(9)<=>C3H4R(78)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #627; RMG #627 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C[CH]CC(C)L(7)<=>C3H4R(78)+CCCC(C)L(16) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #628; RMG #628 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(12), C3H4R(78); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C3H5R(12)<=>CCL(26)+C3H4R(78) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #629; RMG #629 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C6H12L(11)<=>C3H4R(78)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #630; RMG #630 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(12) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #631; RMG #631 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(12), C3H4R(78); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C3H5R(12)<=>CR(22)+C3H4R(78) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #632; RMG #632 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C8H16L(15)<=>C3H4R(78)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #633; RMG #633 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(12)+C6H11R(17) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #634; RMG #634 -! Library reaction: restart -! Flux pairs: C3H4R(78), C3H5R(12); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C3H4R(78)<=>C2H3L(19)+C3H5R(12) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #635; RMG #635 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C8H16L(15)<=>C3H5R(12)+C8H15L(21) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #636; RMG #636 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(12)+C5H9L(24) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #637; RMG #637 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(12)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #638; RMG #638 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+[CH2]C(C)CR(6)<=>C3H4R(78)+CC(C)CR(20) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #639; RMG #639 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CR(10), CCCR(27); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C[CH]CR(10)<=>C3H4R(78)+CCCR(27) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #640; RMG #640 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C[CH]CC(C)CR(5)<=>C3H4R(78)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #641; RMG #641 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+[CH2]C(C)L(4)<=>C3H4R(78)+CC(C)L(13) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #642; RMG #642 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C7H14R(9)<=>C3H4R(78)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #643; RMG #643 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C[CH]CC(C)L(7)<=>C3H4R(78)+CCCC(C)L(16) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #644; RMG #644 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H4R(78); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C3H5R(58)<=>CCL(26)+C3H4R(78) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #645; RMG #645 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C6H12L(11)<=>C3H4R(78)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #646; RMG #646 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(12)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #647; RMG #647 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #648; RMG #648 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.225850e+27 -4.376 6.263 -DUPLICATE - -! Reaction index: Chemkin #649; RMG #649 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H4R(78); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C3H5R(58)<=>CR(22)+C3H4R(78) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #650; RMG #650 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(58)+C6H11R(17) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #651; RMG #651 -! Library reaction: restart -! Flux pairs: C3H4R(78), C3H5R(58); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C3H4R(78)<=>C2H3L(19)+C3H5R(58) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #652; RMG #652 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C8H16L(15)<=>C3H5R(58)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #653; RMG #653 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(58)+C5H9L(24) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #654; RMG #654 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #655; RMG #655 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #656; RMG #656 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(58)+C3H5R(58) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #657; RMG #657 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5R(12); C3H4R(78), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5R(12) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #658; RMG #658 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5R(58); C3H4R(78), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5R(58) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #659; RMG #659 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+[CH2]C(C)CR(6)<=>C3H5R(12)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #660; RMG #660 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+[CH2]C(C)CR(6)<=>C3H5R(58)+C4H7R(60) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #661; RMG #661 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C8H16L(15)<=>C3H5R(12)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #662; RMG #662 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C8H16L(15)<=>C3H5R(58)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #663; RMG #663 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+C7H14R(9)<=>C3H5R(12)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #664; RMG #664 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+C7H14R(9)<=>C3H5R(58)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #665; RMG #665 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+C6H12L(11)<=>C3H5R(12)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #666; RMG #666 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+C6H12L(11)<=>C3H5R(58)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #667; RMG #667 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C10H20R(64)<=>C3H4R(78)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #668; RMG #668 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C10H20R(64)<=>C3H4R(78)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #669; RMG #669 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C3H4R(78), C3H5R(12); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #670; RMG #670 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C8H16L(15)<=>C3H4R(78)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #671; RMG #671 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C3H4R(78), C3H5R(58); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #672; RMG #672 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(66)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #673; RMG #673 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(66)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #674; RMG #674 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(67)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #675; RMG #675 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(67)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #676; RMG #676 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(68)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #677; RMG #677 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(68)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #678; RMG #678 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C3H4R(78), C3H5R(58); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #679; RMG #679 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(70)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #680; RMG #680 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(70)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #681; RMG #681 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C3H4R(78), C3H5R(12); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #682; RMG #682 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(71)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #683; RMG #683 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(71)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #684; RMG #684 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C3H4R(78), C3H5R(12); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #685; RMG #685 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C3H4R(78), C3H5R(58); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #686; RMG #686 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C9H17LR(73)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #687; RMG #687 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C9H17LR(73)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #688; RMG #688 -! Template reaction: H_Abstraction -! Flux pairs: C3H4R(78), C3H5R(12); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C3H4R(78)<=>CH3(74)+C3H5R(12) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #689; RMG #689 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H4R(78); CH3(74), C(75); -! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C3H5R(58)<=>C(75)+C3H4R(78) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #690; RMG #690 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C10H20L(76)<=>C3H4R(78)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #691; RMG #691 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C10H20L(76)<=>C3H4R(78)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #692; RMG #692 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C5H9L(57)<=>C3H5R(12)+C5H8L(77) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #693; RMG #693 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C5H9L(57)<=>C3H5R(58)+C5H8L(77) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #694; RMG #694 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(12), C3H5R(58); C3H4R(78), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C3H5R(12)<=>C3H4R(78)+C3H5R(58) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #695; RMG #695 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C4H7R(60)<=>CCCR(27)+C4H6R(79) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #696; RMG #696 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C4H7R(60)<=>CC(C)L(13)+C4H6R(79) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #697; RMG #697 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C4H7R(60)<=>CCL(26)+C4H6R(79) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #698; RMG #698 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C4H6R(79)<=>C3H5R(12)+C4H7R(60) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #699; RMG #699 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C4H7R(60)<=>CR(22)+C4H6R(79) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #700; RMG #700 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(17) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #701; RMG #701 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C4H6R(79)<=>C2H3L(19)+C4H7R(60) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #702; RMG #702 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C8H16L(15)<=>C4H7R(60)+C8H15L(21) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #703; RMG #703 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(24) 1.225850e+27 -4.376 6.739 - -! Reaction index: Chemkin #704; RMG #704 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #705; RMG #705 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #706; RMG #706 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C4H6R(79)<=>C3H5R(58)+C4H7R(60) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #707; RMG #707 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C4H6R(79)<=>C3H5L(59)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #708; RMG #708 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #709; RMG #709 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+C7H14R(9)<=>C4H7R(60)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #710; RMG #710 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+C6H12L(11)<=>C4H7R(60)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #711; RMG #711 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C10H20R(64)<=>C4H6R(79)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #712; RMG #712 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C[CH]CC(C)L(7)<=>C4H6R(79)+CCCC(C)L(16) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #713; RMG #713 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C8H16L(15)<=>C4H7R(60)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #714; RMG #714 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C4H6R(79), C4H7R(60); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #715; RMG #715 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+[CH2]C(C)CR(6)<=>C4H6R(79)+CC(C)CR(20) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #716; RMG #716 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C[CH]CC(C)CR(5)<=>C4H6R(79)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #717; RMG #717 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C7H14R(9)<=>C4H6R(79)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #718; RMG #718 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C6H12L(11)<=>C4H6R(79)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #719; RMG #719 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C8H16L(15)<=>C4H6R(79)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #720; RMG #720 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(66)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #721; RMG #721 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(67)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #722; RMG #722 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(68)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #723; RMG #723 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C4H6R(79), C4H7R(60); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #724; RMG #724 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(70)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #725; RMG #725 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(71)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #726; RMG #726 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C4H6R(79), C4H7R(60); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #727; RMG #727 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(73)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #728; RMG #728 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C4H6R(79)<=>CH3(74)+C4H7R(60) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #729; RMG #729 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C10H20L(76)<=>C4H6R(79)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #730; RMG #730 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C5H9L(57)<=>C4H7R(60)+C5H8L(77) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #731; RMG #731 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C4H6R(79)<=>C3H4R(78)+C4H7R(60) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #732; RMG #732 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C4H7R(60)<=>C3H5R(58)+C4H6R(79) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #733; RMG #733 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #734; RMG #734 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.225850e+27 -4.376 6.263 -DUPLICATE - -! Reaction index: Chemkin #735; RMG #735 -! Library reaction: restart -! Flux pairs: C4H6R(79), C[C]1CC1R(80); -! Estimated from node Backbone0 -C4H6R(79)<=>C[C]1CC1R(80) 1.014560e+05 2.304 30.041 - -! Reaction index: Chemkin #736; RMG #736 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(65)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #737; RMG #737 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(69)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #738; RMG #738 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(66)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #739; RMG #739 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(68)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #740; RMG #740 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(72)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #741; RMG #741 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(73)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #742; RMG #742 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(71)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #743; RMG #743 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(67)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #744; RMG #744 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C9H17LR(70)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #745; RMG #745 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C10H20R(64)<=>C4H6R(79)+RC10(2) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #746; RMG #746 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C10H20L(76)<=>C4H6R(79)+LC10(3) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #747; RMG #747 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C4H6R(79)<=>C3H5R(58)+C4H7R(81) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #748; RMG #748 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C4H6R(79)<=>C3H5R(12)+C4H7R(81) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #749; RMG #749 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C4H6R(79)<=>C2H3L(19)+C4H7R(81) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #750; RMG #750 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(81); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C4H6R(79)<=>C3H4R(78)+C4H7R(81) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #751; RMG #751 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C4H7R(81)<=>CC(C)L(13)+C4H6R(79) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #752; RMG #752 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C[CH]CC(C)L(7)<=>C4H6R(79)+CCCC(C)L(16) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #753; RMG #753 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+[CH2]C(C)CR(6)<=>C4H6R(79)+CC(C)CR(20) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #754; RMG #754 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+C4H7R(81)<=>CR(22)+C4H6R(79) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #755; RMG #755 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C7H14R(9)<=>C4H6R(79)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #756; RMG #756 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C6H12L(11)<=>C4H6R(79)+CC(C)CC(C)L(25) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #757; RMG #757 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]L(8)+C4H7R(81)<=>CCL(26)+C4H6R(79) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #758; RMG #758 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CR(10)+C4H7R(81)<=>CCCR(27)+C4H6R(79) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #759; RMG #759 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C[CH]CC(C)CR(5)<=>C4H6R(79)+CCCC(C)CR(32) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #760; RMG #760 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C8H16L(15)<=>C4H6R(79)+C8H17L(49) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #761; RMG #761 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C5H9L(57)<=>C4H7R(81)+C5H8L(77) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #762; RMG #762 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4R(78)+C4H7R(81)<=>C3H5R(58)+C4H6R(79) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #763; RMG #763 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H7R(81); C4H6R(79), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C4H7R(60)<=>C4H6R(79)+C4H7R(81) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #764; RMG #764 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+C4H7R(81)<=>C(75)+C4H6R(79) 1.350560e-01 4.253 7.537 - -! Reaction index: Chemkin #765; RMG #765 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(81)+C6H11R(17) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #766; RMG #766 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C8H16L(15)<=>C4H7R(81)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #767; RMG #767 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(81)+C5H9L(24) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #768; RMG #768 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(81)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #769; RMG #769 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(81)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #770; RMG #770 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C4H6R(79)<=>C3H5L(59)+C4H7R(81) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #771; RMG #771 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(81); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(81) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #772; RMG #772 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C8H16L(15)<=>C4H7R(81)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #773; RMG #773 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+C7H14R(9)<=>C4H7R(81)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #774; RMG #774 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+C6H12L(11)<=>C4H7R(81)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #775; RMG #775 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(65), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C9H17LR(65)<=>RC10L(1) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #776; RMG #776 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(69), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C9H17LR(69)<=>RC10L(1) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #777; RMG #777 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(66), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C9H17LR(66)<=>RC10L(1) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #778; RMG #778 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(68), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C9H17LR(68)<=>RC10L(1) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #779; RMG #779 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(72), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C9H17LR(72)<=>RC10L(1) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #780; RMG #780 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(73), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C9H17LR(73)<=>RC10L(1) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #781; RMG #781 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(71), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C9H17LR(71)<=>RC10L(1) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #782; RMG #782 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(67), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C9H17LR(67)<=>RC10L(1) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #783; RMG #783 -! Library reaction: restart -! Flux pairs: H(82), RC10L(1); C9H17LR(70), RC10L(1); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C9H17LR(70)<=>RC10L(1) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #784; RMG #784 -! Library reaction: restart -! Flux pairs: H(82), RC10(2); C10H20R(64), RC10(2); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C10H20R(64)<=>RC10(2) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #785; RMG #785 -! Library reaction: restart -! Flux pairs: H(82), LC10(3); C10H20L(76), LC10(3); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C10H20L(76)<=>LC10(3) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #786; RMG #786 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CC(C)CR(5); C6H11R(56), C[CH]CC(C)CR(5); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H11R(56)<=>C[CH]CC(C)CR(5) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #787; RMG #787 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CC(C)CR(5); C6H11R(17), C[CH]CC(C)CR(5); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H11R(17)<=>C[CH]CC(C)CR(5) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #788; RMG #788 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), [CH2]C(C)L(4); C3H5L(59), [CH2]C(C)L(4); -! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C3H5L(59)<=>[CH2]C(C)L(4) 5.075180e+03 2.822 -1.156 - -! Reaction index: Chemkin #789; RMG #789 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), [CH2]C(C)CR(6); C4H7R(60), [CH2]C(C)CR(6); -! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C4H7R(60)<=>[CH2]C(C)CR(6) 5.075180e+03 2.822 -1.156 - -! Reaction index: Chemkin #790; RMG #790 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CC(C)L(7); C5H9L(57), C[CH]CC(C)L(7); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C5H9L(57)<=>C[CH]CC(C)L(7) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #791; RMG #791 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CC(C)L(7); C5H9L(24), C[CH]CC(C)L(7); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C5H9L(24)<=>C[CH]CC(C)L(7) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #792; RMG #792 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C7H14R(9); C7H13R(62), C7H14R(9); -! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C7H13R(62)<=>C7H14R(9) 5.075180e+03 2.822 -1.156 - -! Reaction index: Chemkin #793; RMG #793 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]L(8); C2H3L(19), C[CH]L(8); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C2H3L(19)<=>C[CH]L(8) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #794; RMG #794 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CR(10); C3H5R(58), C[CH]CR(10); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C3H5R(58)<=>C[CH]CR(10) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #795; RMG #795 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]CR(10); C3H5R(12), C[CH]CR(10); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C3H5R(12)<=>C[CH]CR(10) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #796; RMG #796 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H12L(11); C6H11L(63), C6H12L(11); -! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H11L(63)<=>C6H12L(11) 5.075180e+03 2.822 -1.156 - -! Reaction index: Chemkin #797; RMG #797 -! Library reaction: restart -! Flux pairs: H(82), C3H5R(12); C3H4R(78), C3H5R(12); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C3H4R(78)<=>C3H5R(12) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #798; RMG #798 -! Library reaction: restart -! Flux pairs: H(82), CC(C)L(13); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+[CH2]C(C)L(4)<=>CC(C)L(13) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #799; RMG #799 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C8H16L(15); C8H15L(61), C8H16L(15); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C8H15L(61)<=>C8H16L(15) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #800; RMG #800 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C8H16L(15); C8H15L(21), C8H16L(15); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C8H15L(21)<=>C8H16L(15) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #801; RMG #801 -! Library reaction: restart -! Flux pairs: H(82), CCCC(C)L(16); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C[CH]CC(C)L(7)<=>CCCC(C)L(16) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #802; RMG #802 -! Library reaction: restart -! Flux pairs: H(82), CC(C)CR(20); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+[CH2]C(C)CR(6)<=>CC(C)CR(20) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #803; RMG #803 -! Library reaction: restart -! Flux pairs: H(82), CR(22); [CH2]R(14), CR(22); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+[CH2]R(14)<=>CR(22) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #804; RMG #804 -! Library reaction: restart -! Flux pairs: H(82), CC(C)CC(C)CR(23); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C7H14R(9)<=>CC(C)CC(C)CR(23) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #805; RMG #805 -! Library reaction: restart -! Flux pairs: H(82), CC(C)CC(C)L(25); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C6H12L(11)<=>CC(C)CC(C)L(25) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #806; RMG #806 -! Library reaction: restart -! Flux pairs: H(82), CCL(26); C[CH]L(8), CCL(26); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C[CH]L(8)<=>CCL(26) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #807; RMG #807 -! Library reaction: restart -! Flux pairs: H(82), CCCR(27); C[CH]CR(10), CCCR(27); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C[CH]CR(10)<=>CCCR(27) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #808; RMG #808 -! Library reaction: restart -! Flux pairs: H(82), CCCC(C)CR(32); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C[CH]CC(C)CR(5)<=>CCCC(C)CR(32) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #809; RMG #809 -! Library reaction: restart -! Flux pairs: H(82), C8H17L(49); C8H16L(15), C8H17L(49); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R -H(82)+C8H16L(15)<=>C8H17L(49) 1.766370e+13 0.153 0.000 - -! Reaction index: Chemkin #810; RMG #810 -! Library reaction: restart -! Flux pairs: H(82), C5H9L(57); C5H8L(77), C5H9L(57); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R -H(82)+C5H8L(77)<=>C5H9L(57) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #811; RMG #811 -! Library reaction: restart -! Flux pairs: H(82), C3H5R(58); C3H4R(78), C3H5R(58); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C3H4R(78)<=>C3H5R(58) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #812; RMG #812 -! Library reaction: restart -! Flux pairs: H(82), C4H7R(60); C4H6R(79), C4H7R(60); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C4H6R(79)<=>C4H7R(60) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #813; RMG #813 -! Template reaction: R_Recombination -! Flux pairs: H(82), C(75); CH3(74), C(75); -! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O] -! family: R_Recombination -H(82)+CH3(74)<=>C(75) 1.930000e+14 0.000 0.270 - -! Reaction index: Chemkin #814; RMG #814 -! Library reaction: restart -! Flux pairs: H(82), C4H7R(81); C4H6R(79), C4H7R(81); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C4H6R(79)<=>C4H7R(81) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #815; RMG #815 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); H(82), [H][H](83); -! From training reaction 952 used for C/H/Cs3;H_rad -! Exact match found for rate rule [C/H/Cs3;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(65) 4.760000e-01 4.340 2.000 - -! Reaction index: Chemkin #816; RMG #816 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); H(82), [H][H](83); -! From training reaction 952 used for C/H/Cs3;H_rad -! Exact match found for rate rule [C/H/Cs3;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(69) 4.760000e-01 4.340 2.000 - -! Reaction index: Chemkin #817; RMG #817 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(66) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #818; RMG #818 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(68) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #819; RMG #819 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); H(82), [H][H](83); -! From training reaction 952 used for C/H/Cs3;H_rad -! Exact match found for rate rule [C/H/Cs3;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(72) 4.760000e-01 4.340 2.000 - -! Reaction index: Chemkin #820; RMG #820 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(73); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(73) 5.670000e+06 2.210 7.500 - -! Reaction index: Chemkin #821; RMG #821 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(71); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(71) 5.670000e+06 2.210 7.500 - -! Reaction index: Chemkin #822; RMG #822 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(67) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #823; RMG #823 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(70); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(70) 5.670000e+06 2.210 7.500 - -! Reaction index: Chemkin #824; RMG #824 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+RC10(2)<=>[H][H](83)+C10H20R(64) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #825; RMG #825 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+LC10(3)<=>[H][H](83)+C10H20L(76) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #826; RMG #826 -! Template reaction: H_Abstraction -! Flux pairs: C3H4R(78), C3H5R(12); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C3H4R(78)<=>H(82)+C3H5R(12) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #827; RMG #827 -! Template reaction: H_Abstraction -! Flux pairs: CR(22), [CH2]R(14); H(82), [H][H](83); -! Estimated using average of templates [C/H3/Cs\OneNonDe;H_rad] + [C/H3/Cs\H2\Cs;Y_rad] for rate rule [C/H3/Cs\H2\Cs;H_rad] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+CR(22)<=>[H][H](83)+[CH2]R(14) 8.319120e+03 2.718 6.496 - -! Reaction index: Chemkin #828; RMG #828 -! Template reaction: H_Abstraction -! Flux pairs: CCL(26), C[CH]L(8); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+CCL(26)<=>[H][H](83)+C[CH]L(8) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #829; RMG #829 -! Template reaction: H_Abstraction -! Flux pairs: CCCR(27), C[CH]CR(10); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+CCCR(27)<=>[H][H](83)+C[CH]CR(10) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #830; RMG #830 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C5H9L(57)<=>[H][H](83)+C5H8L(77) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #831; RMG #831 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H4R(78); H(82), [H][H](83); -! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C3H5R(58)<=>[H][H](83)+C3H4R(78) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #832; RMG #832 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C4H6R(79)<=>H(82)+C4H7R(60) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #833; RMG #833 -! Template reaction: H_Abstraction -! Flux pairs: C(75), CH3(74); H(82), [H][H](83); -! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training -! This reaction matched rate rule [C_methane;H_rad] -! family: H_Abstraction -H(82)+C(75)<=>[H][H](83)+CH3(74) 4.100000e+03 3.156 8.755 - -! Reaction index: Chemkin #834; RMG #834 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+C4H7R(81)<=>[H][H](83)+C4H6R(79) 6.100680e+03 3.153 4.317 - -! Reaction index: Chemkin #835; RMG #835 -! Template reaction: R_Recombination -! Flux pairs: H(82), [H][H](83); H(82), [H][H](83); -! Matched reaction 56 H + H <=> H2 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H] -! family: R_Recombination -H(82)+H(82)<=>[H][H](83) 5.450000e+10 0.000 1.500 - -! Reaction index: Chemkin #836; RMG #836 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+CC(C)CR(20)<=>[H][H](83)+[CH2]C(C)CR(6) 1.134000e+07 2.210 7.500 - -! Reaction index: Chemkin #837; RMG #837 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+CCCC(C)CR(32)<=>[H][H](83)+C[CH]CC(C)CR(5) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #838; RMG #838 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+CC(C)L(13)<=>[H][H](83)+[CH2]C(C)L(4) 1.134000e+07 2.210 7.500 - -! Reaction index: Chemkin #839; RMG #839 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+CC(C)CC(C)CR(23)<=>[H][H](83)+C7H14R(9) 1.134000e+07 2.210 7.500 - -! Reaction index: Chemkin #840; RMG #840 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+CCCC(C)L(16)<=>[H][H](83)+C[CH]CC(C)L(7) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #841; RMG #841 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+CC(C)CC(C)L(25)<=>[H][H](83)+C6H12L(11) 1.134000e+07 2.210 7.500 - -! Reaction index: Chemkin #842; RMG #842 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C[CH]CR(10)<=>[H][H](83)+C3H5R(12) 1.225850e+27 -4.376 3.356 - -! Reaction index: Chemkin #843; RMG #843 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+C8H17L(49)<=>[H][H](83)+C8H16L(15) 6.382500e+01 3.680 4.700 - -! Reaction index: Chemkin #844; RMG #844 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C[CH]CC(C)CR(5)<=>[H][H](83)+C6H11R(17) 1.225850e+27 -4.376 3.239 - -! Reaction index: Chemkin #845; RMG #845 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C2H3L(19); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C[CH]L(8)<=>[H][H](83)+C2H3L(19) 1.225850e+27 -4.376 3.356 - -! Reaction index: Chemkin #846; RMG #846 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C8H16L(15)<=>[H][H](83)+C8H15L(21) 1.225850e+27 -4.376 3.239 - -! Reaction index: Chemkin #847; RMG #847 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C[CH]CC(C)L(7)<=>[H][H](83)+C5H9L(24) 1.225850e+27 -4.376 3.239 - -! Reaction index: Chemkin #848; RMG #848 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C[CH]CC(C)CR(5)<=>[H][H](83)+C6H11R(56) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #849; RMG #849 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C[CH]CC(C)L(7)<=>[H][H](83)+C5H9L(57) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #850; RMG #850 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C[CH]CR(10)<=>[H][H](83)+C3H5R(58) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #851; RMG #851 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C -H(82)+[CH2]C(C)L(4)<=>[H][H](83)+C3H5L(59) 4.559710e+12 -0.222 0.000 -DUPLICATE - -! Reaction index: Chemkin #852; RMG #852 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+[CH2]C(C)L(4)<=>[H][H](83)+C3H5L(59) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #853; RMG #853 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C -H(82)+[CH2]C(C)CR(6)<=>[H][H](83)+C4H7R(60) 4.559710e+12 -0.222 0.000 -DUPLICATE - -! Reaction index: Chemkin #854; RMG #854 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+[CH2]C(C)CR(6)<=>[H][H](83)+C4H7R(60) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #855; RMG #855 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C8H16L(15)<=>[H][H](83)+C8H15L(61) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #856; RMG #856 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C -H(82)+C7H14R(9)<=>[H][H](83)+C7H13R(62) 4.559710e+12 -0.222 0.000 -DUPLICATE - -! Reaction index: Chemkin #857; RMG #857 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+C7H14R(9)<=>[H][H](83)+C7H13R(62) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #858; RMG #858 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C -H(82)+C6H12L(11)<=>[H][H](83)+C6H11L(63) 4.559710e+12 -0.222 0.000 -DUPLICATE - -! Reaction index: Chemkin #859; RMG #859 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+C6H12L(11)<=>[H][H](83)+C6H11L(63) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #860; RMG #860 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(77), C5H9L(84); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #861; RMG #861 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(77), C5H9L(84); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #862; RMG #862 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(66)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #863; RMG #863 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(68)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #864; RMG #864 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(77), C5H9L(84); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #865; RMG #865 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(73)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #866; RMG #866 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(71)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #867; RMG #867 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(67)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #868; RMG #868 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C9H17LR(70)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #869; RMG #869 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C10H20R(64)<=>C5H8L(77)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #870; RMG #870 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C10H20L(76)<=>C5H8L(77)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #871; RMG #871 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H8L(77)<=>C3H5R(58)+C5H9L(84) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #872; RMG #872 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H8L(77)<=>C3H5R(12)+C5H9L(84) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #873; RMG #873 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H8L(77)<=>C2H3L(19)+C5H9L(84) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #874; RMG #874 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C5H8L(77)<=>C3H4R(78)+C5H9L(84) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #875; RMG #875 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H9L(84)<=>CC(C)L(13)+C5H8L(77) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #876; RMG #876 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C[CH]CC(C)L(7)<=>C5H8L(77)+CCCC(C)L(16) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #877; RMG #877 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H9L(84)<=>CC(C)CR(20)+C5H8L(77) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #878; RMG #878 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C5H9L(84)<=>CR(22)+C5H8L(77) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #879; RMG #879 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C7H14R(9)<=>C5H8L(77)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #880; RMG #880 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C6H12L(11)<=>C5H8L(77)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #881; RMG #881 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C5H9L(84)<=>CCL(26)+C5H8L(77) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #882; RMG #882 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C5H9L(84)<=>CCCR(27)+C5H8L(77) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #883; RMG #883 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C[CH]CC(C)CR(5)<=>C5H8L(77)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #884; RMG #884 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C8H16L(15)<=>C5H8L(77)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #885; RMG #885 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H9L(84); C5H8L(77), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C5H9L(57)<=>C5H8L(77)+C5H9L(84) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #886; RMG #886 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C5H9L(84)<=>C3H5R(58)+C5H8L(77) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #887; RMG #887 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C5H8L(77)<=>C4H6R(79)+C5H9L(84) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #888; RMG #888 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C5H8L(77)<=>CH3(74)+C5H9L(84) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #889; RMG #889 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C5H9L(84)<=>C4H7R(81)+C5H8L(77) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #890; RMG #890 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C5H8L(77)<=>H(82)+C5H9L(84) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #891; RMG #891 -! Library reaction: restart -! Flux pairs: H(82), C5H9L(84); C5H8L(77), C5H9L(84); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R -H(82)+C5H8L(77)<=>C5H9L(84) 1.803320e+13 0.128 0.000 - -! Reaction index: Chemkin #892; RMG #892 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(84)+C6H11R(17) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #893; RMG #893 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H16L(15)<=>C5H9L(84)+C8H15L(21) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #894; RMG #894 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(84); C5H8L(77), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(84) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #895; RMG #895 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(84)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #896; RMG #896 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(84); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(84) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #897; RMG #897 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C5H8L(77)<=>C3H5L(59)+C5H9L(84) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #898; RMG #898 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C5H8L(77)<=>C4H7R(60)+C5H9L(84) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #899; RMG #899 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C8H16L(15)<=>C5H9L(84)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #900; RMG #900 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C7H14R(9)<=>C5H9L(84)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #901; RMG #901 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C6H12L(11)<=>C5H9L(84)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #902; RMG #902 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), RC10(2); C7H15(85), RC10(2); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+C7H15(85)<=>RC10(2) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #903; RMG #903 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(58), C10H20R(64); C7H15(85), C10H20R(64); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5R(58)+C7H15(85)<=>C10H20R(64) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #904; RMG #904 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(86), C10H20L(76); C7H15(85), C10H20L(76); -! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(86)+C7H15(85)<=>C10H20L(76) 1.020000e+03 2.410 6.230 - -! Reaction index: Chemkin #905; RMG #905 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #906; RMG #906 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #907; RMG #907 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #908; RMG #908 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #909; RMG #909 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #910; RMG #910 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)C(87), C7H15(85); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -CC(C)CC(C)C(87)+C9H17LR(73)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #911; RMG #911 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)C(87), C7H15(85); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -CC(C)CC(C)C(87)+C9H17LR(71)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #912; RMG #912 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #913; RMG #913 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)C(87), C7H15(85); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -CC(C)CC(C)C(87)+C9H17LR(70)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #914; RMG #914 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+RC10(2)<=>CC(C)CC(C)C(87)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #915; RMG #915 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+LC10(3)<=>CC(C)CC(C)C(87)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #916; RMG #916 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C7H15(85)<=>C3H4R(78)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #917; RMG #917 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CC(C)CC(C)C(87)<=>CC(C)L(13)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #918; RMG #918 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)L(16)+C7H15(85)<=>C[CH]CC(C)L(7)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #919; RMG #919 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CC(C)CC(C)C(87)<=>CC(C)CR(20)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #920; RMG #920 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -[CH2]R(14)+CC(C)CC(C)C(87)<=>CR(22)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #921; RMG #921 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C7H14R(9)+CC(C)CC(C)C(87)<=>CC(C)CC(C)CR(23)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #922; RMG #922 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C6H12L(11)+CC(C)CC(C)C(87)<=>CC(C)CC(C)L(25)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #923; RMG #923 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C7H15(85)<=>C[CH]L(8)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #924; RMG #924 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C7H15(85)<=>C[CH]CR(10)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #925; RMG #925 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCC(C)CR(32)+C7H15(85)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #926; RMG #926 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C7H15(85)<=>C5H8L(77)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #927; RMG #927 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C7H15(85)<=>C3H4R(78)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #928; RMG #928 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C7H15(85)<=>C4H6R(79)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #929; RMG #929 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -CH3(74)+CC(C)CC(C)C(87)<=>C(75)+C7H15(85) 5.676000e+00 3.600 11.050 - -! Reaction index: Chemkin #930; RMG #930 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C7H15(85)<=>C4H6R(79)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #931; RMG #931 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -H(82)+CC(C)CC(C)C(87)<=>[H][H](83)+C7H15(85) 2.268000e+07 2.210 7.500 - -! Reaction index: Chemkin #932; RMG #932 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C7H15(85)<=>C5H8L(77)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #933; RMG #933 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H15(85)+C8H17L(49)<=>CC(C)CC(C)C(87)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #934; RMG #934 -! Library reaction: restart -! Flux pairs: H(82), CC(C)CC(C)C(87); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+C7H15(85)<=>CC(C)CC(C)C(87) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #935; RMG #935 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H15(85)<=>C3H5R(12)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #936; RMG #936 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H15(85)<=>C6H11R(17)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #937; RMG #937 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H15(85)<=>C2H3L(19)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #938; RMG #938 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C8H16L(15)<=>CC(C)CC(C)C(87)+C8H15L(21) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #939; RMG #939 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H15(85)<=>C5H9L(24)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.707 - -! Reaction index: Chemkin #940; RMG #940 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H15(85)<=>C6H11R(56)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #941; RMG #941 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H15(85)<=>C5H9L(57)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #942; RMG #942 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H15(85)<=>C3H5R(58)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #943; RMG #943 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C7H15(85)<=>C3H5L(59)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #944; RMG #944 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C7H15(85)<=>C4H7R(60)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #945; RMG #945 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C8H16L(15)<=>CC(C)CC(C)C(87)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #946; RMG #946 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H14R(9)+C7H15(85)<=>C7H13R(62)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #947; RMG #947 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C7H15(85)<=>C6H11L(63)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #948; RMG #948 -! Library reaction: restart -! Flux pairs: C3H4R(78), RC1[CH]C1(88); -! Estimated from node Backbone0 -C3H4R(78)<=>RC1[CH]C1(88) 1.014560e+05 2.304 35.490 - -! Reaction index: Chemkin #949; RMG #949 -! Library reaction: restart -! Flux pairs: H(82), C5H9L(24); C5H8L(89), C5H9L(24); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C5H8L(89)<=>C5H9L(24) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #950; RMG #950 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H8L(89)<=>C3H5R(12)+C5H9L(24) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #951; RMG #951 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H8L(89)<=>C2H3L(19)+C5H9L(24) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #952; RMG #952 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H9L(24)<=>CC(C)CR(20)+C5H8L(89) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #953; RMG #953 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C5H9L(24)<=>CCCR(27)+C5H8L(89) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #954; RMG #954 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C[CH]CC(C)CR(5)<=>C5H8L(89)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #955; RMG #955 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H9L(24)<=>CC(C)L(13)+C5H8L(89) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #956; RMG #956 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C7H14R(9)<=>C5H8L(89)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #957; RMG #957 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C[CH]CC(C)L(7)<=>C5H8L(89)+CCCC(C)L(16) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #958; RMG #958 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C5H9L(24)<=>CCL(26)+C5H8L(89) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #959; RMG #959 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H12L(11)<=>C5H8L(89)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #960; RMG #960 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C5H9L(24)<=>CR(22)+C5H8L(89) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #961; RMG #961 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(24)+C6H11R(17) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #962; RMG #962 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C8H16L(15)<=>C5H9L(24)+C8H15L(21) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #963; RMG #963 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(24) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #964; RMG #964 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C8H16L(15)<=>C5H8L(89)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #965; RMG #965 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(24)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #966; RMG #966 -! Library reaction: restart -! Flux pairs: H(82), C5H9L(57); C5H8L(89), C5H9L(57); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C5H8L(89)<=>C5H9L(57) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #967; RMG #967 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C[CH]CR(10), CCCR(27); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C5H9L(57)<=>CCCR(27)+C5H8L(89) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #968; RMG #968 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H9L(57)<=>CC(C)L(13)+C5H8L(89) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #969; RMG #969 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C5H9L(57)<=>CCL(26)+C5H8L(89) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #970; RMG #970 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H8L(89)<=>C3H5R(12)+C5H9L(57) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #971; RMG #971 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C5H9L(57)<=>CR(22)+C5H8L(89) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #972; RMG #972 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(17) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #973; RMG #973 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H8L(89)<=>C2H3L(19)+C5H9L(57) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #974; RMG #974 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C8H16L(15)<=>C5H9L(57)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #975; RMG #975 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #976; RMG #976 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.225850e+27 -4.376 6.090 -DUPLICATE - -! Reaction index: Chemkin #977; RMG #977 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H8L(89)<=>C3H5R(58)+C5H9L(24) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #978; RMG #978 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #979; RMG #979 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #980; RMG #980 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H8L(89)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #981; RMG #981 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C5H8L(89)<=>C3H5L(59)+C5H9L(24) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #982; RMG #982 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C5H8L(89)<=>C3H5L(59)+C5H9L(57) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #983; RMG #983 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C5H8L(89)<=>C4H7R(60)+C5H9L(24) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #984; RMG #984 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C5H8L(89)<=>C4H7R(60)+C5H9L(57) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #985; RMG #985 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C7H14R(9)<=>C5H9L(24)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #986; RMG #986 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H12L(11)<=>C5H9L(24)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #987; RMG #987 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C10H20R(64)<=>C5H8L(89)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #988; RMG #988 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H9L(57)<=>CC(C)CR(20)+C5H8L(89) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #989; RMG #989 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C[CH]CC(C)L(7)<=>C5H8L(89)+CCCC(C)L(16) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #990; RMG #990 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C8H16L(15)<=>C5H9L(24)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #991; RMG #991 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(89), C5H9L(24); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #992; RMG #992 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C8H16L(15)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #993; RMG #993 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C7H14R(9)<=>C5H9L(57)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #994; RMG #994 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H12L(11)<=>C5H9L(57)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #995; RMG #995 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C10H20R(64)<=>C5H8L(89)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #996; RMG #996 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(89), C5H9L(57); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #997; RMG #997 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C[CH]CC(C)CR(5)<=>C5H8L(89)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #998; RMG #998 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C7H14R(9)<=>C5H8L(89)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #999; RMG #999 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C6H12L(11)<=>C5H8L(89)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1000; RMG #1000 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(66)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1001; RMG #1001 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(67)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1002; RMG #1002 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(68)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1003; RMG #1003 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C8H16L(15)<=>C5H8L(89)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1004; RMG #1004 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(89), C5H9L(57); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #1005; RMG #1005 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(70)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1006; RMG #1006 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(71)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1007; RMG #1007 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(89), C5H9L(57); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #1008; RMG #1008 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(66)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1009; RMG #1009 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(67)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1010; RMG #1010 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(68)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1011; RMG #1011 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(89), C5H9L(24); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1012; RMG #1012 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(70)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1013; RMG #1013 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(71)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1014; RMG #1014 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(89), C5H9L(24); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1015; RMG #1015 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C9H17LR(73)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1016; RMG #1016 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C9H17LR(73)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1017; RMG #1017 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C5H8L(89)<=>CH3(74)+C5H9L(24) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #1018; RMG #1018 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); CH3(74), C(75); -! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C5H9L(57)<=>C(75)+C5H8L(89) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #1019; RMG #1019 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C10H20L(76)<=>C5H8L(89)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1020; RMG #1020 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C10H20L(76)<=>C5H8L(89)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1021; RMG #1021 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H9L(24); C5H8L(89), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C5H9L(57)<=>C5H8L(77)+C5H9L(24) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1022; RMG #1022 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H9L(84); C5H8L(77), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C5H9L(24)<=>C5H8L(89)+C5H9L(84) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1023; RMG #1023 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H9L(57); C5H8L(89), C5H8L(77); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C5H9L(57)<=>C5H8L(77)+C5H9L(57) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1024; RMG #1024 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H9L(57); C5H8L(89), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C5H9L(84)<=>C5H8L(77)+C5H9L(57) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1025; RMG #1025 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C5H9L(24)<=>C3H5R(12)+C5H8L(89) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1026; RMG #1026 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C5H9L(24)<=>C3H5R(58)+C5H8L(89) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1027; RMG #1027 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C5H8L(89)<=>C3H4R(78)+C5H9L(57) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1028; RMG #1028 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C5H8L(89)<=>C3H4R(78)+C5H9L(57) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1029; RMG #1029 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C5H9L(24)<=>C4H7R(60)+C5H8L(89) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1030; RMG #1030 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C5H9L(24)<=>C4H7R(81)+C5H8L(89) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1031; RMG #1031 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C5H8L(89)<=>C4H6R(79)+C5H9L(57) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1032; RMG #1032 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C5H8L(89)<=>C4H6R(79)+C5H9L(57) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1033; RMG #1033 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C5H8L(89)<=>H(82)+C5H9L(24) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #1034; RMG #1034 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); H(82), [H][H](83); -! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C5H9L(57)<=>[H][H](83)+C5H8L(89) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #1035; RMG #1035 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C7H15(85)<=>C5H8L(89)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1036; RMG #1036 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C7H15(85)<=>C5H8L(89)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1037; RMG #1037 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H9L(57); C5H8L(89), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C5H9L(24)<=>C5H8L(89)+C5H9L(57) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1038; RMG #1038 -! Library reaction: restart -! Flux pairs: H(82), C6H11R(56); C6H10R(90), C6H11R(56); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R -H(82)+C6H10R(90)<=>C6H11R(56) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #1039; RMG #1039 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11R(56)<=>CC(C)CR(20)+C6H10R(90) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1040; RMG #1040 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C6H11R(56)<=>CCCR(27)+C6H10R(90) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1041; RMG #1041 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C[CH]CC(C)CR(5)<=>C6H10R(90)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1042; RMG #1042 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11R(56)<=>CC(C)L(13)+C6H10R(90) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1043; RMG #1043 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11R(56)<=>CCCC(C)L(16)+C6H10R(90) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1044; RMG #1044 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C6H11R(56)<=>CCL(26)+C6H10R(90) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1045; RMG #1045 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C6H12L(11)<=>C6H10R(90)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1046; RMG #1046 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10R(90)<=>C3H5R(12)+C6H11R(56) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #1047; RMG #1047 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C6H11R(56)<=>CR(22)+C6H10R(90) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1048; RMG #1048 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(90), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1049; RMG #1049 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10R(90)<=>C2H3L(19)+C6H11R(56) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #1050; RMG #1050 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H16L(15)<=>C6H11R(56)+C8H15L(21) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1051; RMG #1051 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(24)+C6H11R(56) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1052; RMG #1052 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1053; RMG #1053 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1054; RMG #1054 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10R(90)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1055; RMG #1055 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10R(90)<=>C3H5L(59)+C6H11R(56) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1056; RMG #1056 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10R(90)<=>C4H7R(60)+C6H11R(56) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1057; RMG #1057 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C8H16L(15)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1058; RMG #1058 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(90)+C7H14R(9)<=>C6H11R(56)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1059; RMG #1059 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11R(56); C6H10R(90), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(90)+C6H12L(11)<=>C6H11L(63)+C6H11R(56) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1060; RMG #1060 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C7H14R(9)<=>C6H10R(90)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1061; RMG #1061 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C8H16L(15)<=>C6H10R(90)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1062; RMG #1062 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C10H20R(64)<=>C6H10R(90)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1063; RMG #1063 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H11R(56), C6H10R(90); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(65)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1064; RMG #1064 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(66)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1065; RMG #1065 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(67)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1066; RMG #1066 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(68)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1067; RMG #1067 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H11R(56), C6H10R(90); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(69)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1068; RMG #1068 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(70)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1069; RMG #1069 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(71)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1070; RMG #1070 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H11R(56), C6H10R(90); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(72)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1071; RMG #1071 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(73)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1072; RMG #1072 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C6H11R(56)<=>C(75)+C6H10R(90) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #1073; RMG #1073 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C10H20L(76)<=>C6H10R(90)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1074; RMG #1074 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(56); C5H9L(57), C5H8L(77); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10R(90)<=>C5H8L(77)+C6H11R(56) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #1075; RMG #1075 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C6H11R(56)<=>C5H9L(84)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1076; RMG #1076 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11R(56)<=>C3H5R(12)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1077; RMG #1077 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11R(56)<=>C3H5R(58)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1078; RMG #1078 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11R(56)<=>C4H7R(60)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1079; RMG #1079 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11R(56)<=>C4H7R(81)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1080; RMG #1080 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C6H11R(56)<=>[H][H](83)+C6H10R(90) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #1081; RMG #1081 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C7H15(85)<=>C6H10R(90)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1082; RMG #1082 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11R(56)<=>C5H9L(24)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1083; RMG #1083 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11R(56)<=>C5H9L(57)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1084; RMG #1084 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C5H8L(89); C4H5L(91), C5H8L(89); -! From training reaction 471 used for Cds-CsH_Cds-CdH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C4H5L(91)<=>C5H8L(89) 1.130000e+04 2.410 4.000 - -! Reaction index: Chemkin #1085; RMG #1085 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C6H9L2(92); C4H5L(91), C6H9L2(92); -! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C4H5L(91)<=>C6H9L2(92) 1.920000e+03 2.410 0.760 - -! Reaction index: Chemkin #1086; RMG #1086 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C[CH]CC(93); C3H6(18), C[CH]CC(93); -! Matched reaction 237 CH3 + propene_1 <=> C4H9-3 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-HHH] -! family: R_Addition_MultipleBond -CH3(74)+C3H6(18)<=>C[CH]CC(93) 2.100000e+04 2.410 5.320 - -! Reaction index: Chemkin #1087; RMG #1087 -! Library reaction: restart -! Flux pairs: C[CH]C(94), RC10(2); C7H14R(9), RC10(2); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R -C[CH]C(94)+C7H14R(9)<=>RC10(2) 2.124550e+14 -0.429 0.000 - -! Reaction index: Chemkin #1088; RMG #1088 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(65)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536 - -! Reaction index: Chemkin #1089; RMG #1089 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(69)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536 - -! Reaction index: Chemkin #1090; RMG #1090 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(66)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1091; RMG #1091 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(68)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1092; RMG #1092 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(72)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536 - -! Reaction index: Chemkin #1093; RMG #1093 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(73)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1094; RMG #1094 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(71)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1095; RMG #1095 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(67)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1096; RMG #1096 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C9H17LR(70)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1097; RMG #1097 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H20R(64)<=>C3H6(18)+RC10(2) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1098; RMG #1098 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H20L(76)<=>C3H6(18)+LC10(3) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1099; RMG #1099 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C[CH]C(94)<=>C3H5R(12)+C3H6(18) 2.451710e+27 -4.376 6.820 - -! Reaction index: Chemkin #1100; RMG #1100 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CC(C)L(13); [CH2]C(C)L(4), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)L(4)+C[CH]C(94)<=>C3H6(18)+CC(C)L(13) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1101; RMG #1101 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C[CH]CC(C)L(7)<=>C3H6(18)+CCCC(C)L(16) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1102; RMG #1102 -! Library reaction: restart -! Flux pairs: [CH2]R(14), CC(C)CR(20); C[CH]C(94), CC(C)CR(20); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R -[CH2]R(14)+C[CH]C(94)<=>CC(C)CR(20) 2.124550e+14 -0.429 0.000 - -! Reaction index: Chemkin #1103; RMG #1103 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+[CH2]C(C)CR(6)<=>C3H6(18)+CC(C)CR(20) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1104; RMG #1104 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]R(14)+C[CH]C(94)<=>CR(22)+C3H6(18) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1105; RMG #1105 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CC(C)CC(C)CR(23); [CH2]C(C)CR(6), CC(C)CC(C)CR(23); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R -C[CH]C(94)+[CH2]C(C)CR(6)<=>CC(C)CC(C)CR(23) 2.124550e+14 -0.429 0.000 - -! Reaction index: Chemkin #1106; RMG #1106 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H14R(9)<=>C3H6(18)+CC(C)CC(C)CR(23) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1107; RMG #1107 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C5H8L(89)<=>C3H6(18)+C5H9L(24) 2.451710e+27 -4.376 6.946 - -! Reaction index: Chemkin #1108; RMG #1108 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), CC(C)CC(C)L(25); C[CH]C(94), CC(C)CC(C)L(25); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R -[CH2]C(C)L(4)+C[CH]C(94)<=>CC(C)CC(C)L(25) 2.124550e+14 -0.429 0.000 - -! Reaction index: Chemkin #1109; RMG #1109 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H12L(11)<=>C3H6(18)+CC(C)CC(C)L(25) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1110; RMG #1110 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C[CH]C(94)<=>CCL(26)+C3H6(18) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1111; RMG #1111 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCCR(27); C[CH]CR(10), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C[CH]C(94)<=>C3H6(18)+CCCR(27) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1112; RMG #1112 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C[CH]CC(C)CR(5)<=>C3H6(18)+CCCC(C)CR(32) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1113; RMG #1113 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C8H16L(15)<=>C3H6(18)+C8H17L(49) 2.451710e+27 -4.376 4.198 - -! Reaction index: Chemkin #1114; RMG #1114 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10R(90)<=>C3H6(18)+C6H11R(56) 2.451710e+27 -4.376 7.254 - -! Reaction index: Chemkin #1115; RMG #1115 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C5H8L(77)<=>C3H6(18)+C5H9L(57) 2.451710e+27 -4.376 7.254 - -! Reaction index: Chemkin #1116; RMG #1116 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C5H8L(89)<=>C3H6(18)+C5H9L(57) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #1117; RMG #1117 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C[CH]C(94)<=>C3H5R(58)+C3H6(18) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #1118; RMG #1118 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C4H6R(79)<=>C3H6(18)+C4H7R(60) 2.451710e+27 -4.376 6.820 - -! Reaction index: Chemkin #1119; RMG #1119 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -CH3(74)+C[CH]C(94)<=>C(75)+C3H6(18) 2.451710e+27 -4.376 3.164 - -! Reaction index: Chemkin #1120; RMG #1120 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C4H6R(79)<=>C3H6(18)+C4H7R(81) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #1121; RMG #1121 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C[CH]C(94); C3H6(18), C[CH]C(94); -! Matched reaction 2814 H + propene_1 <=> C3H7-3 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-HH_Cds-Cs\H3/H;HJ] -! family: R_Addition_MultipleBond -H(82)+C3H6(18)<=>C[CH]C(94) 1.840000e+09 1.553 1.570 - -! Reaction index: Chemkin #1122; RMG #1122 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -H(82)+C[CH]C(94)<=>[H][H](83)+C3H6(18) 2.451710e+27 -4.376 3.290 - -! Reaction index: Chemkin #1123; RMG #1123 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C5H8L(77)<=>C3H6(18)+C5H9L(84) 2.451710e+27 -4.376 6.935 - -! Reaction index: Chemkin #1124; RMG #1124 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H15(85)<=>C3H6(18)+CC(C)CC(C)C(87) 2.451710e+27 -4.376 3.763 - -! Reaction index: Chemkin #1125; RMG #1125 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C[CH]C(94), CCC(95); -! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(65) 8.110000e-04 4.340 5.300 - -! Reaction index: Chemkin #1126; RMG #1126 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C[CH]C(94), CCC(95); -! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(69) 8.110000e-04 4.340 5.300 - -! Reaction index: Chemkin #1127; RMG #1127 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(66) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1128; RMG #1128 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(68) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1129; RMG #1129 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C[CH]C(94), CCC(95); -! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(72) 8.110000e-04 4.340 5.300 - -! Reaction index: Chemkin #1130; RMG #1130 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C9H17LR(73)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1131; RMG #1131 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C9H17LR(71)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1132; RMG #1132 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(67) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1133; RMG #1133 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C9H17LR(70)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1134; RMG #1134 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+RC10(2)<=>CCC(95)+C10H20R(64) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1135; RMG #1135 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+LC10(3)<=>CCC(95)+C10H20L(76) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1136; RMG #1136 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); C3H4R(78), C3H5R(12); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+CCC(95)<=>C3H5R(12)+C[CH]C(94) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1137; RMG #1137 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CCC(95)<=>CC(C)L(13)+C[CH]C(94) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1138; RMG #1138 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+CCCC(C)L(16)<=>CCC(95)+C[CH]CC(C)L(7) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1139; RMG #1139 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+[CH2]C(C)CR(6)<=>C[CH]C(94)+CC(C)CR(20) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1140; RMG #1140 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CCC(95)<=>CR(22)+C[CH]C(94) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1141; RMG #1141 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C7H14R(9)<=>C[CH]C(94)+CC(C)CC(C)CR(23) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1142; RMG #1142 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C5H8L(89)<=>C[CH]C(94)+C5H9L(24) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1143; RMG #1143 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H12L(11)<=>C[CH]C(94)+CC(C)CC(C)L(25) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1144; RMG #1144 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]C(94), CCC(95); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+C[CH]C(94)<=>C[CH]L(8)+CCC(95) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1145; RMG #1145 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]C(94), CCC(95); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+C[CH]C(94)<=>C[CH]CR(10)+CCC(95) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1146; RMG #1146 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+CCCC(C)CR(32)<=>CCC(95)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1147; RMG #1147 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+C8H17L(49)<=>CCC(95)+C8H16L(15) 2.573750e-03 4.290 7.713 - -! Reaction index: Chemkin #1148; RMG #1148 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C6H11R(56)<=>CCC(95)+C6H10R(90) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1149; RMG #1149 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C5H9L(57)<=>CCC(95)+C5H8L(77) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1150; RMG #1150 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C5H8L(89)<=>C[CH]C(94)+C5H9L(57) 2.920000e-02 4.340 16.600 - -! Reaction index: Chemkin #1151; RMG #1151 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); C3H4R(78), C3H5R(58); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+CCC(95)<=>C3H5R(58)+C[CH]C(94) 2.920000e-02 4.340 16.600 - -! Reaction index: Chemkin #1152; RMG #1152 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C4H6R(79)<=>C[CH]C(94)+C4H7R(60) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1153; RMG #1153 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]C(94), CCC(95); C(75), CH3(74); -! Matched reaction 315 C3H7 + CH4b <=> C3H8 + CH3_p1 in H_Abstraction/training -! This reaction matched rate rule [C_methane;C_rad/H/Cs\H3/Cs\H3] -! family: H_Abstraction -C(75)+C[CH]C(94)<=>CH3(74)+CCC(95) 7.240000e-04 4.400 10.790 - -! Reaction index: Chemkin #1154; RMG #1154 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]C(94)+C4H7R(81)<=>CCC(95)+C4H6R(79) 2.016000e-03 4.340 4.700 - -! Reaction index: Chemkin #1155; RMG #1155 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]C(94), CCC(95); [H][H](83), H(82); -! Matched reaction 787 H2 + C3H7 <=> C3H8 + H in H_Abstraction/training -! This reaction matched rate rule [H2;C_rad/H/Cs\H3/Cs\H3] -! family: H_Abstraction -[H][H](83)+C[CH]C(94)<=>H(82)+CCC(95) 5.420000e-03 4.340 9.900 - -! Reaction index: Chemkin #1156; RMG #1156 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C5H8L(77)<=>C[CH]C(94)+C5H9L(84) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1157; RMG #1157 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C7H15(85)<=>C[CH]C(94)+CC(C)CC(C)C(87) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #1158; RMG #1158 -! Template reaction: R_Recombination -! Flux pairs: H(82), CCC(95); C[CH]C(94), CCC(95); -! Matched reaction 59 H + C3H7-2 <=> C3H8-2 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R] -! family: R_Recombination -H(82)+C[CH]C(94)<=>CCC(95) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #1159; RMG #1159 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCC(95); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C[CH]C(94)<=>C3H5R(12)+CCC(95) 1.225850e+27 -4.376 4.256 - -! Reaction index: Chemkin #1160; RMG #1160 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(17) 1.225850e+27 -4.376 4.120 - -! Reaction index: Chemkin #1161; RMG #1161 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCC(95); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C[CH]C(94)<=>C3H6(18)+CCC(95) 2.451710e+27 -4.376 4.180 - -! Reaction index: Chemkin #1162; RMG #1162 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCC(95); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C[CH]C(94)<=>C2H3L(19)+CCC(95) 1.225850e+27 -4.376 4.256 - -! Reaction index: Chemkin #1163; RMG #1163 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C8H16L(15)<=>CCC(95)+C8H15L(21) 1.225850e+27 -4.376 4.120 - -! Reaction index: Chemkin #1164; RMG #1164 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(24) 1.225850e+27 -4.376 4.120 - -! Reaction index: Chemkin #1165; RMG #1165 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1166; RMG #1166 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1167; RMG #1167 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCC(95); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C[CH]C(94)<=>C3H5R(58)+CCC(95) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1168; RMG #1168 -! Library reaction: restart -! Flux pairs: C[CH]C(94), CCC(95); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C[CH]C(94)<=>C3H5L(59)+CCC(95) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1169; RMG #1169 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]C(94)+[CH2]C(C)CR(6)<=>CCC(95)+C4H7R(60) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1170; RMG #1170 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C8H16L(15)<=>CCC(95)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1171; RMG #1171 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]C(94)+C7H14R(9)<=>CCC(95)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1172; RMG #1172 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]C(94)+C6H12L(11)<=>CCC(95)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1173; RMG #1173 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C5H8L(96); C4H5L(91), C5H8L(96); -! From training reaction 273 used for Cds-HH_Cds-CdH;CsJ-HHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C4H5L(91)<=>C5H8L(96) 2.360000e+04 2.410 2.520 - -! Reaction index: Chemkin #1174; RMG #1174 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C7H11LR(97); C4H5L(91), C7H11LR(97); -! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C4H5L(91)<=>C7H11LR(97) 1.920000e+03 2.410 0.760 - -! Reaction index: Chemkin #1175; RMG #1175 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(90), C6H11R(98); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1176; RMG #1176 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(90), C6H11R(98); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1177; RMG #1177 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(66)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1178; RMG #1178 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(68)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1179; RMG #1179 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(90), C6H11R(98); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1180; RMG #1180 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(73)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1181; RMG #1181 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(71)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1182; RMG #1182 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(67)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1183; RMG #1183 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C9H17LR(70)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1184; RMG #1184 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C10H20R(64)<=>C6H10R(90)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1185; RMG #1185 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C10H20L(76)<=>C6H10R(90)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1186; RMG #1186 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C6H10R(90)<=>C3H4R(78)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1187; RMG #1187 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11R(98)<=>CC(C)L(13)+C6H10R(90) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1188; RMG #1188 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11R(98)<=>CCCC(C)L(16)+C6H10R(90) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1189; RMG #1189 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11R(98)<=>CC(C)CR(20)+C6H10R(90) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1190; RMG #1190 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H11R(98)<=>CR(22)+C6H10R(90) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1191; RMG #1191 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C7H14R(9)<=>C6H10R(90)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1192; RMG #1192 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H10R(90)<=>C5H8L(89)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1193; RMG #1193 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C6H12L(11)<=>C6H10R(90)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1194; RMG #1194 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H11R(98)<=>CCL(26)+C6H10R(90) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1195; RMG #1195 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H11R(98)<=>CCCR(27)+C6H10R(90) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1196; RMG #1196 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C[CH]CC(C)CR(5)<=>C6H10R(90)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1197; RMG #1197 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C8H16L(15)<=>C6H10R(90)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1198; RMG #1198 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11R(98); C6H10R(90), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C6H11R(56)<=>C6H10R(90)+C6H11R(98) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1199; RMG #1199 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10R(90)<=>C5H8L(77)+C6H11R(98) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1200; RMG #1200 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H11R(98)<=>C5H9L(57)+C6H10R(90) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1201; RMG #1201 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H11R(98)<=>C3H5R(58)+C6H10R(90) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1202; RMG #1202 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C6H10R(90)<=>C4H6R(79)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1203; RMG #1203 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H10R(90)<=>CH3(74)+C6H11R(98) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #1204; RMG #1204 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H11R(98)<=>C4H7R(81)+C6H10R(90) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1205; RMG #1205 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C6H10R(90)<=>H(82)+C6H11R(98) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #1206; RMG #1206 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H11R(98)<=>C5H9L(84)+C6H10R(90) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1207; RMG #1207 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C7H15(85)<=>C6H10R(90)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1208; RMG #1208 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H10R(90)<=>C[CH]C(94)+C6H11R(98) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1209; RMG #1209 -! Library reaction: restart -! Flux pairs: H(82), C6H11R(98); C6H10R(90), C6H11R(98); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R -H(82)+C6H10R(90)<=>C6H11R(98) 1.803320e+13 0.128 0.000 - -! Reaction index: Chemkin #1210; RMG #1210 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10R(90)<=>C3H5R(12)+C6H11R(98) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #1211; RMG #1211 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(98); C6H10R(90), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(98) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #1212; RMG #1212 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10R(90)<=>C3H6(18)+C6H11R(98) 2.451710e+27 -4.376 6.935 - -! Reaction index: Chemkin #1213; RMG #1213 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10R(90)<=>C2H3L(19)+C6H11R(98) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #1214; RMG #1214 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H16L(15)<=>C6H11R(98)+C8H15L(21) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #1215; RMG #1215 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(24)+C6H11R(98) 1.225850e+27 -4.376 6.853 - -! Reaction index: Chemkin #1216; RMG #1216 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(98); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1217; RMG #1217 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(57)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1218; RMG #1218 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10R(90)<=>C3H5R(58)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1219; RMG #1219 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10R(90)<=>C3H5L(59)+C6H11R(98) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1220; RMG #1220 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10R(90)<=>C4H7R(60)+C6H11R(98) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1221; RMG #1221 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C8H16L(15)<=>C6H11R(98)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1222; RMG #1222 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(90)+C7H14R(9)<=>C6H11R(98)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1223; RMG #1223 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11R(98); C6H10R(90), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(90)+C6H12L(11)<=>C6H11L(63)+C6H11R(98) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1224; RMG #1224 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4R(78), C6H9LR(99); C3H5L(59), C6H9LR(99); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H4R(78)+C3H5L(59)<=>C6H9LR(99) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1225; RMG #1225 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4R(78), C7H9LR(100); C4H5L(91), C7H9LR(100); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H4R(78)+C4H5L(91)<=>C7H9LR(100) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #1226; RMG #1226 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), CC(L)C[CH]L(101); C[CH]L(8), CC(L)C[CH]L(101); -! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C2H3L(19)+C[CH]L(8)<=>CC(L)C[CH]L(101) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #1227; RMG #1227 -! Library reaction: restart -! Flux pairs: CH3(74), CC(L)CC(C)L(35); CC(L)C[CH]L(101), CC(L)CC(C)L(35); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+CC(L)C[CH]L(101)<=>CC(L)CC(C)L(35) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #1228; RMG #1228 -! Library reaction: restart -! Flux pairs: C3H5(102), C6H11R(17); C[CH]CR(10), C6H11R(17); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C[CH]CR(10)<=>C6H11R(17) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1229; RMG #1229 -! Template reaction: R_Recombination -! Flux pairs: H(82), C3H6(18); C3H5(102), C3H6(18); -! Matched reaction 121 H + C3H5 <=> C3H6-2 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing] -! family: R_Recombination -H(82)+C3H5(102)<=>C3H6(18) 5.840000e+13 0.180 0.124 - -! Reaction index: Chemkin #1230; RMG #1230 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+[CH2]C(C)CR(6)<=>C3H5(102)+CC(C)CR(20) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1231; RMG #1231 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CR(10), CCCR(27); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C[CH]CR(10)<=>C3H5(102)+CCCR(27) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1232; RMG #1232 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+[CH2]C(C)L(4)<=>C3H5(102)+CC(C)L(13) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1233; RMG #1233 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C7H14R(9)<=>C3H5(102)+CC(C)CC(C)CR(23) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1234; RMG #1234 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C[CH]CC(C)L(7)<=>C3H5(102)+CCCC(C)L(16) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1235; RMG #1235 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C3H6(18)<=>CCL(26)+C3H5(102) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1236; RMG #1236 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H12L(11)<=>C3H5(102)+CC(C)CC(C)L(25) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1237; RMG #1237 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H6(18); C3H5(102), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C[CH]CR(10)<=>C3H5R(12)+C3H6(18) 2.451710e+27 -4.376 6.289 - -! Reaction index: Chemkin #1238; RMG #1238 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C3H6(18)<=>CR(22)+C3H5(102) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1239; RMG #1239 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C[CH]CC(C)CR(5)<=>C3H6(18)+C6H11R(17) 2.451710e+27 -4.376 6.116 - -! Reaction index: Chemkin #1240; RMG #1240 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C3H5(102)+C[CH]C(94)<=>C3H6(18)+C3H6(18) 4.903420e+27 -4.376 6.192 - -! Reaction index: Chemkin #1241; RMG #1241 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C[CH]CC(C)CR(5)<=>C3H5(102)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1242; RMG #1242 -! Library reaction: restart -! Flux pairs: C3H5(102), C3H6(18); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C3H5(102)<=>C2H3L(19)+C3H6(18) 2.451710e+27 -4.376 6.289 - -! Reaction index: Chemkin #1243; RMG #1243 -! Library reaction: restart -! Flux pairs: C3H5(102), C8H15L(21); C[CH]CC(C)L(7), C8H15L(21); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C[CH]CC(C)L(7)<=>C8H15L(21) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1244; RMG #1244 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C8H16L(15)<=>C3H5(102)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1245; RMG #1245 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C8H16L(15)<=>C3H6(18)+C8H15L(21) 2.451710e+27 -4.376 6.116 - -! Reaction index: Chemkin #1246; RMG #1246 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C5H9L(24); C3H5(102), C5H9L(24); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C3H5(102)<=>C5H9L(24) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1247; RMG #1247 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C[CH]CC(C)L(7)<=>C3H6(18)+C5H9L(24) 2.451710e+27 -4.376 6.116 - -! Reaction index: Chemkin #1248; RMG #1248 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C[CH]CC(C)CR(5)<=>C3H6(18)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1249; RMG #1249 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C[CH]CC(C)L(7)<=>C3H6(18)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1250; RMG #1250 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H6(18); C3H5(102), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C[CH]CR(10)<=>C3H5R(58)+C3H6(18) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1251; RMG #1251 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H6(18); C3H5(102), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H6(18) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1252; RMG #1252 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+[CH2]C(C)CR(6)<=>C3H6(18)+C4H7R(60) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1253; RMG #1253 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C8H16L(15)<=>C3H6(18)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1254; RMG #1254 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C7H14R(9)<=>C3H6(18)+C7H13R(62) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1255; RMG #1255 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H12L(11)<=>C3H6(18)+C6H11L(63) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1256; RMG #1256 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C10H20R(64)<=>C3H5(102)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1257; RMG #1257 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C3H6(18), C3H5(102); -! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(65)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700 - -! Reaction index: Chemkin #1258; RMG #1258 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(66)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1259; RMG #1259 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(67)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1260; RMG #1260 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(68)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1261; RMG #1261 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C3H6(18), C3H5(102); -! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(69)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700 - -! Reaction index: Chemkin #1262; RMG #1262 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(70)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1263; RMG #1263 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(71)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1264; RMG #1264 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C3H6(18), C3H5(102); -! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(72)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700 - -! Reaction index: Chemkin #1265; RMG #1265 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C9H17LR(73)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1266; RMG #1266 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); CH3(74), C(75); -! Matched reaction 757 CH3_r3 + C3H6 <=> CH4b + C3H5 in H_Abstraction/training -! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;C_methyl] -! family: H_Abstraction -CH3(74)+C3H6(18)<=>C(75)+C3H5(102) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #1267; RMG #1267 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C10H20L(76)<=>C3H5(102)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1268; RMG #1268 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C5H9L(57)<=>C3H6(18)+C5H8L(77) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1269; RMG #1269 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C5H8L(77)<=>C3H5(102)+C5H9L(84) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1270; RMG #1270 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C3H4R(78), C3H5R(12); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C3H6(18)<=>C3H5R(12)+C3H5(102) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1271; RMG #1271 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C3H4R(78), C3H5R(58); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C3H6(18)<=>C3H5R(58)+C3H5(102) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1272; RMG #1272 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C4H6R(79)<=>C3H5(102)+C4H7R(60) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1273; RMG #1273 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C3H5(102), C3H6(18); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H5(102)+C4H7R(81)<=>C3H6(18)+C4H6R(79) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1274; RMG #1274 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); H(82), [H][H](83); -! Matched reaction 755 H + C3H6 <=> H2 + C3H5 in H_Abstraction/training -! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;H_rad] -! family: H_Abstraction -H(82)+C3H6(18)<=>[H][H](83)+C3H5(102) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #1275; RMG #1275 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C7H15(85)<=>C3H5(102)+CC(C)CC(C)C(87) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #1276; RMG #1276 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C5H8L(89)<=>C3H5(102)+C5H9L(24) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1277; RMG #1277 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C5H8L(89)<=>C3H5(102)+C5H9L(57) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1278; RMG #1278 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C6H11R(56)<=>C3H6(18)+C6H10R(90) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1279; RMG #1279 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H10R(90)<=>C3H5(102)+C6H11R(98) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1280; RMG #1280 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); C3H5(102), C3H6(18); -! Matched reaction 913 C3H5 + C3H8 <=> C3H6 + C3H7 in H_Abstraction/training -! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/Cs\H3/Cs\H3] -! family: H_Abstraction -C3H5(102)+CCC(95)<=>C3H6(18)+C[CH]C(94) 5.840000e-02 4.340 16.600 - -! Reaction index: Chemkin #1281; RMG #1281 -! Library reaction: restart -! Flux pairs: H(82), C6H11L(63); C6H10L(103), C6H11L(63); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C6H10L(103)<=>C6H11L(63) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #1282; RMG #1282 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10L(103)<=>C3H5R(12)+C6H11L(63) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #1283; RMG #1283 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10L(103)<=>C3H6(18)+C6H11L(63) 2.451710e+27 -4.376 6.946 - -! Reaction index: Chemkin #1284; RMG #1284 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10L(103)<=>C2H3L(19)+C6H11L(63) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #1285; RMG #1285 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10L(103)<=>C3H5R(58)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1286; RMG #1286 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10L(103)<=>C3H5L(59)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1287; RMG #1287 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11L(63)<=>CC(C)L(13)+C6H10L(103) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1288; RMG #1288 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H11L(63)<=>CCL(26)+C6H10L(103) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1289; RMG #1289 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H11L(63)<=>CR(22)+C6H10L(103) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1290; RMG #1290 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(63)+C6H11R(17) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1291; RMG #1291 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(24)+C6H11L(63) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1292; RMG #1292 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10L(103)<=>C4H7R(60)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1293; RMG #1293 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(103)+C7H14R(9)<=>C6H11L(63)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1294; RMG #1294 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(103)+C6H12L(11)<=>C6H11L(63)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1295; RMG #1295 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C10H20R(64)<=>C6H10L(103)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1296; RMG #1296 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H11L(63)<=>CCCR(27)+C6H10L(103) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1297; RMG #1297 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11L(63)<=>CCCC(C)L(16)+C6H10L(103) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1298; RMG #1298 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C8H16L(15)<=>C6H11L(63)+C8H15L(21) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1299; RMG #1299 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(63)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1300; RMG #1300 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(57)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1301; RMG #1301 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C8H16L(15)<=>C6H11L(63)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1302; RMG #1302 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11L(63)<=>CC(C)CR(20)+C6H10L(103) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1303; RMG #1303 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C[CH]CC(C)CR(5)<=>C6H10L(103)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1304; RMG #1304 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C7H14R(9)<=>C6H10L(103)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1305; RMG #1305 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C6H12L(11)<=>C6H10L(103)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1306; RMG #1306 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C8H16L(15)<=>C6H10L(103)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1307; RMG #1307 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H10L(103), C6H11L(63); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1308; RMG #1308 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(66)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1309; RMG #1309 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(67)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1310; RMG #1310 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(68)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1311; RMG #1311 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H10L(103), C6H11L(63); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1312; RMG #1312 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(70)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1313; RMG #1313 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(71)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1314; RMG #1314 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H10L(103), C6H11L(63); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1315; RMG #1315 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C9H17LR(73)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1316; RMG #1316 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H10L(103)<=>CH3(74)+C6H11L(63) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #1317; RMG #1317 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C10H20L(76)<=>C6H10L(103)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1318; RMG #1318 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10L(103)<=>C5H8L(77)+C6H11L(63) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1319; RMG #1319 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H11L(63)<=>C5H9L(84)+C6H10L(103) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1320; RMG #1320 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H11L(63)<=>C3H5R(12)+C6H10L(103) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1321; RMG #1321 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H11L(63)<=>C3H5R(58)+C6H10L(103) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1322; RMG #1322 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H11L(63)<=>C4H7R(60)+C6H10L(103) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1323; RMG #1323 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H11L(63)<=>C4H7R(81)+C6H10L(103) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1324; RMG #1324 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C6H10L(103)<=>H(82)+C6H11L(63) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #1325; RMG #1325 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C7H15(85)<=>C6H10L(103)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1326; RMG #1326 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H10L(103)<=>C5H8L(89)+C6H11L(63) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1327; RMG #1327 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H11L(63)<=>C5H9L(57)+C6H10L(103) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1328; RMG #1328 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11L(63); C6H10L(103), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11R(56)<=>C6H10R(90)+C6H11L(63) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1329; RMG #1329 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H11R(98); C6H10R(90), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C6H11L(63)<=>C6H10L(103)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1330; RMG #1330 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H10L(103)<=>C[CH]C(94)+C6H11L(63) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1331; RMG #1331 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H10L(103)<=>C3H5(102)+C6H11L(63) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1332; RMG #1332 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C6H10L(103); C5H7L(104), C6H10L(103); -! From training reaction 471 used for Cds-CsH_Cds-CdH;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C5H7L(104)<=>C6H10L(103) 1.130000e+04 2.410 4.000 - -! Reaction index: Chemkin #1333; RMG #1333 -! Library reaction: restart -! Flux pairs: C3H4R(78), C6H9R(105); C3H5(102), C6H9R(105); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C3H5(102)<=>C6H9R(105) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1334; RMG #1334 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C7H11L2(106); C5H7L(104), C7H11L2(106); -! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C5H7L(104)<=>C7H11L2(106) 2.180000e+03 2.410 0.340 - -! Reaction index: Chemkin #1335; RMG #1335 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(65)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1336; RMG #1336 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(69)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1337; RMG #1337 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(66)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1338; RMG #1338 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(68)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1339; RMG #1339 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(72)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1340; RMG #1340 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(73)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1341; RMG #1341 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(71)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1342; RMG #1342 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(67)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1343; RMG #1343 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(70)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1344; RMG #1344 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C10H20R(64)<=>C6H10L(103)+RC10(2) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1345; RMG #1345 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C10H20L(76)<=>C6H10L(103)+LC10(3) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1346; RMG #1346 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C6H10L(103)<=>C3H4R(78)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1347; RMG #1347 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11L(107)<=>CC(C)L(13)+C6H10L(103) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1348; RMG #1348 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11L(107)<=>CCCC(C)L(16)+C6H10L(103) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1349; RMG #1349 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C3H5(102), C3H6(18); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H5(102)+C6H11L(107)<=>C3H6(18)+C6H10L(103) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1350; RMG #1350 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11L(107)<=>CC(C)CR(20)+C6H10L(103) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1351; RMG #1351 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+C6H11L(107)<=>CR(22)+C6H10L(103) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1352; RMG #1352 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C7H14R(9)<=>C6H10L(103)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1353; RMG #1353 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H10L(103)<=>C5H8L(89)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1354; RMG #1354 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C6H12L(11)<=>C6H10L(103)+CC(C)CC(C)L(25) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1355; RMG #1355 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]L(8)+C6H11L(107)<=>CCL(26)+C6H10L(103) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1356; RMG #1356 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CR(10)+C6H11L(107)<=>CCCR(27)+C6H10L(103) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1357; RMG #1357 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C[CH]CC(C)CR(5)<=>C6H10L(103)+CCCC(C)CR(32) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1358; RMG #1358 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11L(107); C6H10L(103), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11R(56)<=>C6H10R(90)+C6H11L(107) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1359; RMG #1359 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10L(103)<=>C5H8L(77)+C6H11L(107) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1360; RMG #1360 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H8L(89)+C6H11L(107)<=>C5H9L(57)+C6H10L(103) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1361; RMG #1361 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4R(78)+C6H11L(107)<=>C3H5R(58)+C6H10L(103) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1362; RMG #1362 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C6H10L(103)<=>C4H6R(79)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1363; RMG #1363 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H11L(107); C6H10L(103), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H11L(63)<=>C6H10L(103)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1364; RMG #1364 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+C6H11L(107)<=>C(75)+C6H10L(103) 1.350560e-01 4.253 7.537 - -! Reaction index: Chemkin #1365; RMG #1365 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(79)+C6H11L(107)<=>C4H7R(81)+C6H10L(103) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1366; RMG #1366 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+C6H11L(107)<=>[H][H](83)+C6H10L(103) 6.100680e+03 3.153 4.317 - -! Reaction index: Chemkin #1367; RMG #1367 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C6H10L(103)<=>C5H8L(77)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1368; RMG #1368 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C7H15(85)<=>C6H10L(103)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1369; RMG #1369 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]C(94)+C6H11L(107)<=>CCC(95)+C6H10L(103) 2.016000e-03 4.340 4.700 - -! Reaction index: Chemkin #1370; RMG #1370 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H11L(107); C6H10L(103), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H11R(98)<=>C6H10R(90)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1371; RMG #1371 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10L(103)<=>C3H5R(58)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1372; RMG #1372 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10L(103)<=>C3H5R(12)+C6H11L(107) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #1373; RMG #1373 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10L(103)<=>C2H3L(19)+C6H11L(107) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #1374; RMG #1374 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H11L(107)+C8H16L(15)<=>C6H10L(103)+C8H17L(49) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1375; RMG #1375 -! Library reaction: restart -! Flux pairs: H(82), C6H11L(107); C6H10L(103), C6H11L(107); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C6H10L(103)<=>C6H11L(107) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #1376; RMG #1376 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11L(107); C6H10L(103), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(107) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1377; RMG #1377 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10L(103)<=>C3H6(18)+C6H11L(107) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #1378; RMG #1378 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C8H16L(15)<=>C6H11L(107)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1379; RMG #1379 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(24)+C6H11L(107) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1380; RMG #1380 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(107)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1381; RMG #1381 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(57)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1382; RMG #1382 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H10L(103)<=>C3H5L(59)+C6H11L(107) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1383; RMG #1383 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H10L(103)<=>C4H7R(60)+C6H11L(107) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1384; RMG #1384 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C8H16L(15)<=>C6H11L(107)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1385; RMG #1385 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10L(103)+C7H14R(9)<=>C6H11L(107)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1386; RMG #1386 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(107); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10L(103)+C6H12L(11)<=>C6H11L(63)+C6H11L(107) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1387; RMG #1387 -! Library reaction: restart -! Flux pairs: H(82), C7H13R(62); C7H12R(108), C7H13R(62); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C7H12R(108)<=>C7H13R(62) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #1388; RMG #1388 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H12R(108)<=>C3H5R(12)+C7H13R(62) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #1389; RMG #1389 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H12R(108)<=>C3H6(18)+C7H13R(62) 2.451710e+27 -4.376 6.946 - -! Reaction index: Chemkin #1390; RMG #1390 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H12R(108)<=>C2H3L(19)+C7H13R(62) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #1391; RMG #1391 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H12R(108)<=>C3H5R(58)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1392; RMG #1392 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C7H12R(108)<=>C3H5L(59)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1393; RMG #1393 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C7H13R(62)<=>CC(C)L(13)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1394; RMG #1394 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C7H13R(62)<=>CCL(26)+C7H12R(108) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1395; RMG #1395 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C7H13R(62)<=>CR(22)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1396; RMG #1396 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(17)+C7H13R(62) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1397; RMG #1397 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(24)+C7H13R(62) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1398; RMG #1398 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C7H12R(108)<=>C4H7R(60)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1399; RMG #1399 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H12R(108)+C7H14R(9)<=>C7H13R(62)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1400; RMG #1400 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C7H12R(108)<=>C6H11L(63)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1401; RMG #1401 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C10H20R(64)<=>C7H12R(108)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1402; RMG #1402 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C7H13R(62)<=>CC(C)CR(20)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1403; RMG #1403 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C7H13R(62)<=>CCCR(27)+C7H12R(108) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1404; RMG #1404 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C7H13R(62)<=>CCCC(C)CR(32)+C7H12R(108) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1405; RMG #1405 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C7H14R(9)<=>C7H12R(108)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1406; RMG #1406 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C7H13R(62)<=>CCCC(C)L(16)+C7H12R(108) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1407; RMG #1407 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C7H13R(62)<=>CC(C)CC(C)L(25)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1408; RMG #1408 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C8H16L(15)<=>C7H12R(108)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1409; RMG #1409 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C8H16L(15)<=>C7H13R(62)+C8H15L(21) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #1410; RMG #1410 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(56)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1411; RMG #1411 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(57)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1412; RMG #1412 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C8H16L(15)<=>C7H13R(62)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1413; RMG #1413 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C7H12R(108), C7H13R(62); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1414; RMG #1414 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(66)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1415; RMG #1415 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(67)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1416; RMG #1416 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(68)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1417; RMG #1417 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C7H12R(108), C7H13R(62); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1418; RMG #1418 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(70)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1419; RMG #1419 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(71)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1420; RMG #1420 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C7H12R(108), C7H13R(62); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1421; RMG #1421 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C9H17LR(73)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1422; RMG #1422 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C7H12R(108)<=>CH3(74)+C7H13R(62) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #1423; RMG #1423 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C10H20L(76)<=>C7H12R(108)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1424; RMG #1424 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C7H12R(108)<=>C5H8L(77)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1425; RMG #1425 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C7H13R(62)<=>C5H9L(84)+C7H12R(108) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1426; RMG #1426 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C7H13R(62)<=>C3H5R(12)+C7H12R(108) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1427; RMG #1427 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C7H13R(62)<=>C3H5R(58)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1428; RMG #1428 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C7H13R(62)<=>C4H7R(60)+C7H12R(108) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1429; RMG #1429 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C7H13R(62)<=>C4H7R(81)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1430; RMG #1430 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C7H12R(108)<=>H(82)+C7H13R(62) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #1431; RMG #1431 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C7H15(85)<=>C7H12R(108)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1432; RMG #1432 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C7H12R(108)<=>C5H8L(89)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1433; RMG #1433 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C7H13R(62)<=>C5H9L(57)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1434; RMG #1434 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C7H12R(108)<=>C6H10R(90)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1435; RMG #1435 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(90), C6H11R(98); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C7H13R(62)<=>C6H11R(98)+C7H12R(108) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1436; RMG #1436 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C7H12R(108)<=>C[CH]C(94)+C7H13R(62) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1437; RMG #1437 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C7H12R(108)<=>C3H5(102)+C7H13R(62) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1438; RMG #1438 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C7H12R(108)<=>C6H10L(103)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1439; RMG #1439 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C7H13R(62)<=>C6H11L(107)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1440; RMG #1440 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H12R(109); -! Estimated from node Backbone0 -C7H12R(108)<=>C7H12R(109) 1.014560e+05 2.304 30.391 - -! Reaction index: Chemkin #1441; RMG #1441 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]R(14), C7H12R(108); C6H10(110), C7H12R(108); -! From training reaction 472 used for Cds-CsH_Cds-CdH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]R(14)+C6H10(110)<=>C7H12R(108) 1.150000e+03 2.410 3.430 - -! Reaction index: Chemkin #1442; RMG #1442 -! Library reaction: restart -! Flux pairs: C3H4R(78), C6H9R(111); C3H5(102), C6H9R(111); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C3H5(102)<=>C6H9R(111) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1443; RMG #1443 -! Library reaction: restart -! Flux pairs: H(82), C8H15L(61); C8H14L(112), C8H15L(61); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R -H(82)+C8H14L(112)<=>C8H15L(61) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #1444; RMG #1444 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C8H14L(112)<=>C3H5R(12)+C8H15L(61) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #1445; RMG #1445 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C8H14L(112)<=>C3H6(18)+C8H15L(61) 2.451710e+27 -4.376 7.254 - -! Reaction index: Chemkin #1446; RMG #1446 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C8H14L(112)<=>C2H3L(19)+C8H15L(61) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #1447; RMG #1447 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C8H14L(112)<=>C3H5R(58)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1448; RMG #1448 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C8H14L(112)<=>C3H5L(59)+C8H15L(61) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1449; RMG #1449 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C8H15L(61)<=>CCCR(27)+C8H14L(112) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1450; RMG #1450 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C8H15L(61)<=>CCL(26)+C8H14L(112) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1451; RMG #1451 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C8H14L(112)<=>C6H11R(17)+C8H15L(61) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1452; RMG #1452 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C8H14L(112), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C8H16L(15)<=>C8H15L(21)+C8H15L(61) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1453; RMG #1453 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C8H14L(112)<=>C5H9L(24)+C8H15L(61) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #1454; RMG #1454 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C8H14L(112)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1455; RMG #1455 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C8H14L(112)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1456; RMG #1456 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C8H14L(112)<=>C4H7R(60)+C8H15L(61) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1457; RMG #1457 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C8H16L(15)<=>C8H15L(61)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1458; RMG #1458 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C8H14L(112)<=>C7H13R(62)+C8H15L(61) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1459; RMG #1459 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C8H14L(112)<=>C6H11L(63)+C8H15L(61) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1460; RMG #1460 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C8H15L(61)<=>CC(C)L(13)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1461; RMG #1461 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+C8H15L(61)<=>CC(C)CC(C)L(25)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1462; RMG #1462 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C8H15L(61)<=>CR(22)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1463; RMG #1463 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C10H20R(64)<=>C8H14L(112)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1464; RMG #1464 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C8H15L(61), C8H14L(112); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(65)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1465; RMG #1465 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(66)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1466; RMG #1466 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(67)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1467; RMG #1467 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C8H15L(61)<=>CC(C)CR(20)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1468; RMG #1468 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C8H15L(61)<=>CCCC(C)CR(32)+C8H14L(112) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1469; RMG #1469 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H14R(9)+C8H15L(61)<=>CC(C)CC(C)CR(23)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1470; RMG #1470 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C8H15L(61)<=>CCCC(C)L(16)+C8H14L(112) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1471; RMG #1471 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(68)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1472; RMG #1472 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C8H15L(61), C8H14L(112); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(69)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1473; RMG #1473 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C8H16L(15)<=>C8H14L(112)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1474; RMG #1474 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(70)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1475; RMG #1475 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(71)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1476; RMG #1476 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C8H15L(61), C8H14L(112); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(72)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #1477; RMG #1477 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C9H17LR(73)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1478; RMG #1478 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C8H15L(61)<=>C(75)+C8H14L(112) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #1479; RMG #1479 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C8H15L(61)+C10H20L(76)<=>C8H14L(112)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1480; RMG #1480 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C5H9L(57), C5H8L(77); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C8H14L(112)<=>C5H8L(77)+C8H15L(61) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #1481; RMG #1481 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C8H15L(61)<=>C5H9L(84)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1482; RMG #1482 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C8H15L(61)<=>C3H5R(12)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1483; RMG #1483 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C8H15L(61)<=>C3H5R(58)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1484; RMG #1484 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C8H15L(61)<=>C4H7R(60)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1485; RMG #1485 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C8H15L(61)<=>C4H7R(81)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1486; RMG #1486 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C8H15L(61)<=>[H][H](83)+C8H14L(112) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #1487; RMG #1487 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C7H15(85), CC(C)CC(C)C(87); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H15(85)+C8H15L(61)<=>CC(C)CC(C)C(87)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #1488; RMG #1488 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C8H15L(61)<=>C5H9L(24)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1489; RMG #1489 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C8H15L(61)<=>C5H9L(57)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1490; RMG #1490 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C6H11R(56), C6H10R(90); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C8H14L(112)<=>C6H10R(90)+C8H15L(61) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #1491; RMG #1491 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(90), C6H11R(98); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C8H15L(61)<=>C6H11R(98)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1492; RMG #1492 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C8H15L(61)<=>CCC(95)+C8H14L(112) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #1493; RMG #1493 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C8H15L(61)<=>C3H6(18)+C8H14L(112) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1494; RMG #1494 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(103), C6H11L(63); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C8H15L(61)<=>C6H11L(63)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1495; RMG #1495 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C8H15L(61)<=>C6H11L(107)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1496; RMG #1496 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(108), C7H13R(62); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C8H15L(61)<=>C7H13R(62)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1497; RMG #1497 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C8H14L(112); C6H10(110), C8H14L(112); -! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C6H10(110)<=>C8H14L(112) 2.180000e+03 2.410 0.340 - -! Reaction index: Chemkin #1498; RMG #1498 -! Library reaction: restart -! Flux pairs: H(82), C6H10(110); C6H9(113), C6H10(110); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C6H9(113)<=>C6H10(110) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #1499; RMG #1499 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H10(110)<=>CC(C)CR(20)+C6H9(113) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1500; RMG #1500 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C6H10(110)<=>CCCR(27)+C6H9(113) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1501; RMG #1501 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C[CH]CC(C)CR(5)<=>C6H9(113)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1502; RMG #1502 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H10(110)<=>CC(C)L(13)+C6H9(113) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1503; RMG #1503 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C7H14R(9)<=>C6H9(113)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1504; RMG #1504 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H10(110)<=>CCCC(C)L(16)+C6H9(113) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1505; RMG #1505 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C6H10(110)<=>CCL(26)+C6H9(113) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1506; RMG #1506 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H12L(11)<=>C6H9(113)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1507; RMG #1507 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H9(113)<=>C3H5R(12)+C6H10(110) 1.225850e+27 -4.376 8.296 - -! Reaction index: Chemkin #1508; RMG #1508 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C6H10(110)<=>CR(22)+C6H9(113) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1509; RMG #1509 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C[CH]CC(C)CR(5)<=>C6H10(110)+C6H11R(17) 1.225850e+27 -4.376 8.091 - -! Reaction index: Chemkin #1510; RMG #1510 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H9(113)<=>C3H6(18)+C6H10(110) 2.451710e+27 -4.376 8.181 - -! Reaction index: Chemkin #1511; RMG #1511 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H9(113)<=>C2H3L(19)+C6H10(110) 1.225850e+27 -4.376 8.296 - -! Reaction index: Chemkin #1512; RMG #1512 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C8H16L(15)<=>C6H10(110)+C8H15L(21) 1.225850e+27 -4.376 8.091 - -! Reaction index: Chemkin #1513; RMG #1513 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H9(113)<=>C5H9L(24)+C6H10(110) 1.225850e+27 -4.376 8.091 - -! Reaction index: Chemkin #1514; RMG #1514 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C[CH]CC(C)CR(5)<=>C6H10(110)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1515; RMG #1515 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H9(113)<=>C5H9L(57)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1516; RMG #1516 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H9(113)<=>C3H5R(58)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1517; RMG #1517 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H9(113)<=>C3H5L(59)+C6H10(110) 7.830000e+11 0.000 0.230 - -! Reaction index: Chemkin #1518; RMG #1518 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H9(113)<=>C4H7R(60)+C6H10(110) 7.830000e+11 0.000 0.230 - -! Reaction index: Chemkin #1519; RMG #1519 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C8H16L(15)<=>C6H10(110)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1520; RMG #1520 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H9(113)+C7H14R(9)<=>C6H10(110)+C7H13R(62) 7.830000e+11 0.000 0.188 - -! Reaction index: Chemkin #1521; RMG #1521 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H9(113)+C6H12L(11)<=>C6H10(110)+C6H11L(63) 7.830000e+11 0.000 0.188 - -! Reaction index: Chemkin #1522; RMG #1522 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(67)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1523; RMG #1523 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(70)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1524; RMG #1524 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C(75), CH3(74); -! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H9(113)<=>CH3(74)+C6H10(110) 5.600000e-02 4.340 25.430 - -! Reaction index: Chemkin #1525; RMG #1525 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C5H9L(57), C5H8L(77); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H9(113)<=>C5H8L(77)+C6H10(110) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1526; RMG #1526 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(77)+C6H10(110)<=>C5H9L(84)+C6H9(113) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1527; RMG #1527 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H10(110)<=>C3H5R(12)+C6H9(113) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1528; RMG #1528 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H10(110)<=>C3H5R(58)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1529; RMG #1529 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H10(110)<=>C4H7R(60)+C6H9(113) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1530; RMG #1530 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H10(110)<=>C4H7R(81)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1531; RMG #1531 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); [H][H](83), H(82); -! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 102.7 to 103.8 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H9(113)<=>H(82)+C6H10(110) 6.060000e-02 4.340 24.813 - -! Reaction index: Chemkin #1532; RMG #1532 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C7H15(85)<=>C6H9(113)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1533; RMG #1533 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H10(110)<=>C5H9L(24)+C6H9(113) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1534; RMG #1534 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H10(110)<=>C5H9L(57)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1535; RMG #1535 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C6H11R(56)<=>C6H10(110)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1536; RMG #1536 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H10R(90)<=>C6H9(113)+C6H11R(98) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1537; RMG #1537 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H9(113)<=>C[CH]C(94)+C6H10(110) 2.920000e-02 4.340 18.905 - -! Reaction index: Chemkin #1538; RMG #1538 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H9(113)<=>C3H5(102)+C6H10(110) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1539; RMG #1539 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H10L(103)<=>C6H9(113)+C6H11L(63) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1540; RMG #1540 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H10L(103)<=>C6H9(113)+C6H11L(107) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1541; RMG #1541 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C7H12R(108)<=>C6H9(113)+C7H13R(62) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1542; RMG #1542 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C8H16L(15)<=>C6H9(113)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1543; RMG #1543 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C10H20R(64)<=>C6H9(113)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1544; RMG #1544 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H9(113), C6H10(110); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(65) 1.690000e-02 4.340 16.850 - -! Reaction index: Chemkin #1545; RMG #1545 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(66)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1546; RMG #1546 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(68)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1547; RMG #1547 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H9(113), C6H10(110); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(69) 1.690000e-02 4.340 16.850 - -! Reaction index: Chemkin #1548; RMG #1548 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(71)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1549; RMG #1549 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H9(113), C6H10(110); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(72) 1.690000e-02 4.340 16.850 - -! Reaction index: Chemkin #1550; RMG #1550 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C9H17LR(73)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #1551; RMG #1551 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C10H20L(76)<=>C6H9(113)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #1552; RMG #1552 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C8H15L(61)<=>C6H10(110)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1553; RMG #1553 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H9(114); -! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S -C6H9(113)<=>C6H9(114) 1.572550e+29 -4.713 38.794 - -! Reaction index: Chemkin #1554; RMG #1554 -! Library reaction: restart -! Flux pairs: C6H9(114), C12H18(115); C6H9(114), C12H18(115); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H9(114)+C6H9(114)<=>C12H18(115) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #1555; RMG #1555 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H9(114), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1556; RMG #1556 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H9(114), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1557; RMG #1557 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(66)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1558; RMG #1558 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(68)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1559; RMG #1559 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H9(114), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #1560; RMG #1560 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(73)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1561; RMG #1561 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(71)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1562; RMG #1562 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(67)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1563; RMG #1563 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(70)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1564; RMG #1564 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H20R(64)<=>C6H9(114)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1565; RMG #1565 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H20L(76)<=>C6H9(114)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1566; RMG #1566 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H9(114)<=>C3H5R(58)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1567; RMG #1567 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H9(114)<=>C3H5R(12)+C6H10(116) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #1568; RMG #1568 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H9(114)<=>C2H3L(19)+C6H10(116) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #1569; RMG #1569 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H10(116)<=>C3H5R(12)+C6H9(114) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1570; RMG #1570 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H10(116)<=>CC(C)L(13)+C6H9(114) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1571; RMG #1571 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H10(116)<=>CCCC(C)L(16)+C6H9(114) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1572; RMG #1572 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H9(114)<=>C3H5(102)+C6H10(116) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1573; RMG #1573 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H10(116)<=>CC(C)CR(20)+C6H9(114) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1574; RMG #1574 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H10(116)<=>CR(22)+C6H9(114) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1575; RMG #1575 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H14R(9)<=>C6H9(114)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1576; RMG #1576 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H10(116)<=>C5H9L(24)+C6H9(114) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1577; RMG #1577 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C6H12L(11)<=>C6H9(114)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1578; RMG #1578 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H10(116)<=>CCL(26)+C6H9(114) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1579; RMG #1579 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H10(116)<=>CCCR(27)+C6H9(114) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1580; RMG #1580 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C[CH]CC(C)CR(5)<=>C6H9(114)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1581; RMG #1581 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C8H16L(15)<=>C6H9(114)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #1582; RMG #1582 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C6H11R(56)<=>C6H10(116)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1583; RMG #1583 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H9(114)<=>C5H8L(77)+C6H10(116) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1584; RMG #1584 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H10(116)<=>C5H9L(57)+C6H9(114) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1585; RMG #1585 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H10(116)<=>C3H5R(58)+C6H9(114) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1586; RMG #1586 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H10(116)<=>C4H7R(60)+C6H9(114) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1587; RMG #1587 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C8H15L(61)<=>C6H10(116)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #1588; RMG #1588 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H12R(108)<=>C6H9(114)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1589; RMG #1589 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11L(63); C6H10L(103), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H10(116)<=>C6H9(114)+C6H11L(63) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1590; RMG #1590 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H9(114)<=>CH3(74)+C6H10(116) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #1591; RMG #1591 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H10(116)<=>C4H7R(81)+C6H9(114) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1592; RMG #1592 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H9(114)<=>H(82)+C6H10(116) 4.580000e-02 4.340 22.252 - -! Reaction index: Chemkin #1593; RMG #1593 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H10(116)<=>C5H9L(84)+C6H9(114) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1594; RMG #1594 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H15(85)<=>C6H9(114)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #1595; RMG #1595 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H9(114)<=>C3H6(18)+C6H10(116) 2.451710e+27 -4.376 7.519 - -! Reaction index: Chemkin #1596; RMG #1596 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H9(114)<=>C[CH]C(94)+C6H10(116) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #1597; RMG #1597 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C6H10R(90)<=>C6H9(114)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #1598; RMG #1598 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11L(107); C6H10L(103), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H10(116)<=>C6H9(114)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1599; RMG #1599 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H10(116); C6H9(114), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9(114)+C6H10(110)<=>C6H9(113)+C6H10(116) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #1600; RMG #1600 -! Library reaction: restart -! Flux pairs: H(82), C6H10(116); C6H9(114), C6H10(116); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C6H9(114)<=>C6H10(116) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #1601; RMG #1601 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(17) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #1602; RMG #1602 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C8H16L(15)<=>C6H10(116)+C8H15L(21) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #1603; RMG #1603 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H9(114)<=>C5H9L(24)+C6H10(116) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #1604; RMG #1604 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1605; RMG #1605 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H9(114)<=>C5H9L(57)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1606; RMG #1606 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H9(114)<=>C3H5L(59)+C6H10(116) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #1607; RMG #1607 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H9(114)<=>C4H7R(60)+C6H10(116) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #1608; RMG #1608 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C8H16L(15)<=>C6H10(116)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1609; RMG #1609 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H9(114)+C7H14R(9)<=>C6H10(116)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1610; RMG #1610 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H9(114)+C6H12L(11)<=>C6H10(116)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #1611; RMG #1611 -! Library reaction: restart -! Flux pairs: C6H9(114), C12H18(117); C6H9(114), C12H18(117); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H9(114)+C6H9(114)<=>C12H18(117) 2.500000e+13 -0.000 0.000 - -! Reaction index: Chemkin #1612; RMG #1612 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H9(114); C6H8(118), C6H9(114); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H8(118)<=>C6H9(114) 1.650000e+09 1.480 0.900 - -! Reaction index: Chemkin #1613; RMG #1613 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1614; RMG #1614 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1615; RMG #1615 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1616; RMG #1616 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #1617; RMG #1617 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1618; RMG #1618 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1619; RMG #1619 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1620; RMG #1620 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1621; RMG #1621 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1622; RMG #1622 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1623; RMG #1623 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1624; RMG #1624 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1625; RMG #1625 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(90)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1626; RMG #1626 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(90)<=>C6H8(118)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1627; RMG #1627 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1628; RMG #1628 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1629; RMG #1629 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(103)<=>C6H8(118)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1630; RMG #1630 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(103)<=>C6H8(118)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1631; RMG #1631 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(108)<=>C6H8(118)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1632; RMG #1632 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H9(113)<=>C6H8(118)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1633; RMG #1633 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H9(114)<=>C6H8(118)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1634; RMG #1634 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C8H14L(112)<=>C6H8(118)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1635; RMG #1635 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(65)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1636; RMG #1636 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(69)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1637; RMG #1637 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(66)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1638; RMG #1638 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(68)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1639; RMG #1639 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(72)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1640; RMG #1640 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(73)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1641; RMG #1641 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(71)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1642; RMG #1642 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(67)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1643; RMG #1643 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(70)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1644; RMG #1644 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H20R(64)<=>C6H8(118)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1645; RMG #1645 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H20L(76)<=>C6H8(118)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1646; RMG #1646 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1647; RMG #1647 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1648; RMG #1648 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1649; RMG #1649 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H14R(9)<=>C6H8(118)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1650; RMG #1650 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H12L(11)<=>C6H8(118)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1651; RMG #1651 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(118)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1652; RMG #1652 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C8H16L(15)<=>C6H8(118)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1653; RMG #1653 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #1654; RMG #1654 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #1655; RMG #1655 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H9(114)<=>[H][H](83)+C6H8(118) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #1656; RMG #1656 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H15(85)<=>C6H8(118)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1657; RMG #1657 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H14L(119); C6H9(113), C10H14L(119); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H9(113)<=>C10H14L(119) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #1658; RMG #1658 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(65)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1659; RMG #1659 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(69)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1660; RMG #1660 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(66)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1661; RMG #1661 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(68)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1662; RMG #1662 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(72)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #1663; RMG #1663 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(73)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1664; RMG #1664 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(71)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1665; RMG #1665 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(67)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1666; RMG #1666 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(70)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1667; RMG #1667 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C10H20R(64)<=>C7H12R(108)+RC10(2) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1668; RMG #1668 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C10H20L(76)<=>C7H12R(108)+LC10(3) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1669; RMG #1669 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H12R(108)<=>C3H5R(58)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1670; RMG #1670 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H12R(108)<=>C3H5R(12)+C7H13R(120) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #1671; RMG #1671 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H12R(108)<=>C2H3L(19)+C7H13R(120) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #1672; RMG #1672 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C7H12R(108)<=>C3H4R(78)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1673; RMG #1673 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C7H13R(120)<=>CC(C)L(13)+C7H12R(108) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1674; RMG #1674 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C7H13R(120)<=>CCCC(C)L(16)+C7H12R(108) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1675; RMG #1675 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C3H5(102), C3H6(18); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H5(102)+C7H13R(120)<=>C3H6(18)+C7H12R(108) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1676; RMG #1676 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C7H13R(120)<=>CC(C)CR(20)+C7H12R(108) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1677; RMG #1677 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+C7H13R(120)<=>CR(22)+C7H12R(108) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1678; RMG #1678 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C7H14R(9)<=>C7H12R(108)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1679; RMG #1679 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C7H12R(108)<=>C5H8L(89)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1680; RMG #1680 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H12L(11)+C7H13R(120)<=>CC(C)CC(C)L(25)+C7H12R(108) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1681; RMG #1681 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]L(8)+C7H13R(120)<=>CCL(26)+C7H12R(108) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1682; RMG #1682 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CR(10)+C7H13R(120)<=>CCCR(27)+C7H12R(108) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1683; RMG #1683 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C7H13R(120)<=>CCCC(C)CR(32)+C7H12R(108) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1684; RMG #1684 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C8H16L(15)<=>C7H12R(108)+C8H17L(49) 1.956390e-03 4.260 6.640 - -! Reaction index: Chemkin #1685; RMG #1685 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C7H12R(108)<=>C6H10R(90)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1686; RMG #1686 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C7H12R(108)<=>C5H8L(77)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1687; RMG #1687 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H8L(89)+C7H13R(120)<=>C5H9L(57)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1688; RMG #1688 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4R(78)+C7H13R(120)<=>C3H5R(58)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1689; RMG #1689 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C7H12R(108)<=>C4H6R(79)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1690; RMG #1690 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C8H15L(61)<=>C7H13R(120)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #1691; RMG #1691 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H13R(120); C7H12R(108), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C7H13R(62)<=>C7H12R(108)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1692; RMG #1692 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C7H12R(108)<=>C6H10L(103)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1693; RMG #1693 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+C7H13R(120)<=>C(75)+C7H12R(108) 1.350560e-01 4.253 7.537 - -! Reaction index: Chemkin #1694; RMG #1694 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(79)+C7H13R(120)<=>C4H7R(81)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1695; RMG #1695 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+C7H13R(120)<=>[H][H](83)+C7H12R(108) 6.100680e+03 3.153 4.317 - -! Reaction index: Chemkin #1696; RMG #1696 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C7H12R(108)<=>C5H8L(77)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1697; RMG #1697 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C7H13R(120)+C7H15(85)<=>C7H12R(108)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #1698; RMG #1698 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C[CH]C(94), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]C(94)+C7H13R(120)<=>CCC(95)+C7H12R(108) 2.016000e-03 4.340 4.700 - -! Reaction index: Chemkin #1699; RMG #1699 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C7H12R(108)<=>C6H10R(90)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1700; RMG #1700 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H10L(103)+C7H13R(120)<=>C6H11L(107)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1701; RMG #1701 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C7H12R(108)<=>C6H9(113)+C7H13R(120) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #1702; RMG #1702 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(108)<=>C6H8(118)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1703; RMG #1703 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H12R(108)<=>C6H9(114)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #1704; RMG #1704 -! Library reaction: restart -! Flux pairs: H(82), C7H13R(120); C7H12R(108), C7H13R(120); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C7H12R(108)<=>C7H13R(120) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #1705; RMG #1705 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(17)+C7H13R(120) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1706; RMG #1706 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H12R(108)<=>C3H6(18)+C7H13R(120) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #1707; RMG #1707 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C8H16L(15)<=>C7H13R(120)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1708; RMG #1708 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(24)+C7H13R(120) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #1709; RMG #1709 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(56)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1710; RMG #1710 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(57)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1711; RMG #1711 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C7H12R(108)<=>C3H5L(59)+C7H13R(120) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1712; RMG #1712 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C7H12R(108)<=>C4H7R(60)+C7H13R(120) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1713; RMG #1713 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C8H16L(15)<=>C7H13R(120)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1714; RMG #1714 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(120); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C7H12R(108)+C7H14R(9)<=>C7H13R(62)+C7H13R(120) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1715; RMG #1715 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H12L(11)+C7H12R(108)<=>C6H11L(63)+C7H13R(120) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #1716; RMG #1716 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H14L(121); C6H9(113), C10H14L(121); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H9(113)<=>C10H14L(121) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #1717; RMG #1717 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H14L(122); C6H9(113), C9H14L(122); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H9(113)<=>C9H14L(122) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1718; RMG #1718 -! Template reaction: R_Recombination -! Flux pairs: H(82), C6H8(118); C6H7(123), C6H8(118); -! Matched reaction 14 C6H7-2 + H <=> C6H8-3 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H_Ext-3R!H-R] -! family: R_Recombination -H(82)+C6H7(123)<=>C6H8(118) 1.884000e+13 0.408 0.002 - -! Reaction index: Chemkin #1719; RMG #1719 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H8(118)<=>CC(C)CR(20)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1720; RMG #1720 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H8(118)<=>CCCR(27)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1721; RMG #1721 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C[CH]CC(C)CR(5)<=>C6H7(123)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1722; RMG #1722 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H8(118)<=>CC(C)L(13)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1723; RMG #1723 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C7H14R(9)<=>C6H7(123)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1724; RMG #1724 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H8(118)<=>CCCC(C)L(16)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1725; RMG #1725 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H8(118)<=>CCL(26)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1726; RMG #1726 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H12L(11)<=>C6H7(123)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1727; RMG #1727 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C6H7(123)<=>C3H5R(12)+C6H8(118) 2.451710e+27 -4.376 7.020 - -! Reaction index: Chemkin #1728; RMG #1728 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H8(118)<=>CR(22)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1729; RMG #1729 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(17) 2.451710e+27 -4.376 6.835 - -! Reaction index: Chemkin #1730; RMG #1730 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C6H7(123)<=>C3H6(18)+C6H8(118) 4.903420e+27 -4.376 6.916 - -! Reaction index: Chemkin #1731; RMG #1731 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C6H7(123)<=>C2H3L(19)+C6H8(118) 2.451710e+27 -4.376 7.020 - -! Reaction index: Chemkin #1732; RMG #1732 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C8H16L(15)<=>C6H8(118)+C8H15L(21) 2.451710e+27 -4.376 6.835 - -! Reaction index: Chemkin #1733; RMG #1733 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(24)+C6H8(118) 2.451710e+27 -4.376 6.835 - -! Reaction index: Chemkin #1734; RMG #1734 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1735; RMG #1735 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(57)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1736; RMG #1736 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C6H7(123)<=>C3H5R(58)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1737; RMG #1737 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H7(123)<=>C3H5L(59)+C6H8(118) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1738; RMG #1738 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H7(123)<=>C4H7R(60)+C6H8(118) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1739; RMG #1739 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C8H16L(15)<=>C6H8(118)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1740; RMG #1740 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C7H14R(9)<=>C6H8(118)+C7H13R(62) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1741; RMG #1741 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C6H12L(11)<=>C6H8(118)+C6H11L(63) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1742; RMG #1742 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H8(118), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(65)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1743; RMG #1743 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(66)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1744; RMG #1744 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(67)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1745; RMG #1745 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(68)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1746; RMG #1746 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H8(118), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(69)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1747; RMG #1747 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(70)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1748; RMG #1748 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(71)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1749; RMG #1749 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H8(118), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(72)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1750; RMG #1750 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(73)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1751; RMG #1751 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); CH3(74), C(75); -! From training reaction 1126 used for C/H2/CdCd;C_methyl -! Exact match found for rate rule [C/H2/CdCd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+C6H8(118)<=>C(75)+C6H7(123) 2.120000e-02 4.340 1.700 - -! Reaction index: Chemkin #1752; RMG #1752 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(123), C6H8(118); C5H9L(57), C5H8L(77); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(57)+C6H7(123)<=>C5H8L(77)+C6H8(118) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1753; RMG #1753 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H8L(77), C5H9L(84); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H8(118)<=>C5H9L(84)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1754; RMG #1754 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C3H4R(78), C3H5R(12); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(118)<=>C3H5R(12)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1755; RMG #1755 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C3H4R(78), C3H5R(58); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(118)<=>C3H5R(58)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1756; RMG #1756 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C4H6R(79), C4H7R(60); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(118)<=>C4H7R(60)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1757; RMG #1757 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(118)<=>C4H7R(81)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1758; RMG #1758 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C7H15(85)<=>C6H7(123)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1759; RMG #1759 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H8L(89), C5H9L(24); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(118)<=>C5H9L(24)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1760; RMG #1760 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H8L(89), C5H9L(57); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(118)<=>C5H9L(57)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1761; RMG #1761 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11R(56)<=>C6H8(118)+C6H10R(90) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1762; RMG #1762 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H10R(90)<=>C6H7(123)+C6H11R(98) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1763; RMG #1763 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C[CH]C(94), CCC(95); -! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+C6H8(118)<=>CCC(95)+C6H7(123) 2.320000e-03 4.340 -0.400 - -! Reaction index: Chemkin #1764; RMG #1764 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C3H5(102), C3H6(18); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H5(102)+C6H8(118)<=>C3H6(18)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #1765; RMG #1765 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H10L(103)<=>C6H7(123)+C6H11L(63) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1766; RMG #1766 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H10L(103)<=>C6H7(123)+C6H11L(107) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1767; RMG #1767 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C7H12R(108)<=>C6H7(123)+C7H13R(62) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1768; RMG #1768 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C7H12R(108)<=>C6H7(123)+C7H13R(120) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1769; RMG #1769 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C8H15L(61)<=>C6H8(118)+C8H14L(112) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1770; RMG #1770 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C6H8(118), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H9(113)<=>C6H7(123)+C6H10(110) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1771; RMG #1771 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H9(114)<=>C6H7(123)+C6H10(116) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1772; RMG #1772 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H9(114)<=>C6H8(118)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1773; RMG #1773 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C8H16L(15)<=>C6H7(123)+C8H17L(49) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1774; RMG #1774 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C10H20R(64)<=>C6H7(123)+RC10(2) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1775; RMG #1775 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C10H20L(76)<=>C6H7(123)+LC10(3) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1776; RMG #1776 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); H(82), [H][H](83); -! From training reaction 1125 used for C/H2/CdCd;H_rad -! Exact match found for rate rule [C/H2/CdCd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+C6H8(118)<=>[H][H](83)+C6H7(123) 8.940000e-01 4.340 -0.400 - -! Reaction index: Chemkin #1777; RMG #1777 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), C5H9LR(124); C[CH]CR(10), C5H9LR(124); -! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C2H3L(19)+C[CH]CR(10)<=>C5H9LR(124) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #1778; RMG #1778 -! Library reaction: restart -! Flux pairs: CH3(74), CC(L)CC(C)CR(37); C5H9LR(124), CC(L)CC(C)CR(37); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C5H9LR(124)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #1779; RMG #1779 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H9(114); C6H8(125), C6H9(114); -! From training reaction 2558 used for Cds-CsH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H8(125)<=>C6H9(114) 1.520000e+08 1.640 0.140 - -! Reaction index: Chemkin #1780; RMG #1780 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1781; RMG #1781 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1782; RMG #1782 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1783; RMG #1783 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #1784; RMG #1784 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1785; RMG #1785 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1786; RMG #1786 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1787; RMG #1787 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1788; RMG #1788 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1789; RMG #1789 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1790; RMG #1790 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1791; RMG #1791 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1792; RMG #1792 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(90)<=>C6H8(125)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1793; RMG #1793 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(90)<=>C6H8(125)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1794; RMG #1794 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1795; RMG #1795 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1796; RMG #1796 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(103)<=>C6H8(125)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1797; RMG #1797 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(103)<=>C6H8(125)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1798; RMG #1798 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(108)<=>C6H8(125)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1799; RMG #1799 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(108)<=>C6H8(125)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1800; RMG #1800 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H9(113)<=>C6H8(125)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1801; RMG #1801 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H9(114)<=>C6H8(125)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1802; RMG #1802 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C8H14L(112)<=>C6H8(125)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1803; RMG #1803 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H8(125), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(65)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1804; RMG #1804 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H8(125), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(69)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1805; RMG #1805 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(66)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1806; RMG #1806 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(68)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1807; RMG #1807 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H8(125), C6H7(123); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(72)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #1808; RMG #1808 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(73)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1809; RMG #1809 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(71)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1810; RMG #1810 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(67)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1811; RMG #1811 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C9H17LR(70)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1812; RMG #1812 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C10H20R(64)<=>C6H7(123)+RC10(2) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1813; RMG #1813 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C10H20L(76)<=>C6H7(123)+LC10(3) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1814; RMG #1814 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C3H4R(78), C3H5R(12); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(125)<=>C3H5R(12)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1815; RMG #1815 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H8(125)<=>CC(C)L(13)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1816; RMG #1816 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H8(125)<=>CCCC(C)L(16)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1817; RMG #1817 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C3H5(102), C3H6(18); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H5(102)+C6H8(125)<=>C3H6(18)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #1818; RMG #1818 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H8(125)<=>CC(C)CR(20)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1819; RMG #1819 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H8(125)<=>CR(22)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1820; RMG #1820 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C7H14R(9)<=>C6H7(123)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1821; RMG #1821 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H8L(89), C5H9L(24); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(125)<=>C5H9L(24)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1822; RMG #1822 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H12L(11)<=>C6H7(123)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1823; RMG #1823 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H8(125)<=>CCL(26)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1824; RMG #1824 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H8(125)<=>CCCR(27)+C6H7(123) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1825; RMG #1825 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C[CH]CC(C)CR(5)<=>C6H7(123)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1826; RMG #1826 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C8H16L(15)<=>C6H7(123)+C8H17L(49) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #1827; RMG #1827 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11R(56)<=>C6H8(125)+C6H10R(90) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1828; RMG #1828 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(123), C6H8(125); C5H9L(57), C5H8L(77); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(57)+C6H7(123)<=>C5H8L(77)+C6H8(125) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1829; RMG #1829 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H8L(89), C5H9L(57); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(125)<=>C5H9L(57)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1830; RMG #1830 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C3H4R(78), C3H5R(58); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(125)<=>C3H5R(58)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1831; RMG #1831 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C4H6R(79), C4H7R(60); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(125)<=>C4H7R(60)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1832; RMG #1832 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C8H15L(61)<=>C6H8(125)+C8H14L(112) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #1833; RMG #1833 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C7H12R(108)<=>C6H7(123)+C7H13R(62) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1834; RMG #1834 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H10L(103)<=>C6H7(123)+C6H11L(63) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1835; RMG #1835 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); CH3(74), C(75); -! From training reaction 1126 used for C/H2/CdCd;C_methyl -! Exact match found for rate rule [C/H2/CdCd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+C6H8(125)<=>C(75)+C6H7(123) 2.120000e-02 4.340 1.700 - -! Reaction index: Chemkin #1836; RMG #1836 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(125)<=>C4H7R(81)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1837; RMG #1837 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); H(82), [H][H](83); -! From training reaction 1125 used for C/H2/CdCd;H_rad -! Exact match found for rate rule [C/H2/CdCd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+C6H8(125)<=>[H][H](83)+C6H7(123) 8.940000e-01 4.340 -0.400 - -! Reaction index: Chemkin #1838; RMG #1838 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H8L(77), C5H9L(84); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H8(125)<=>C5H9L(84)+C6H7(123) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1839; RMG #1839 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C7H15(85)<=>C6H7(123)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #1840; RMG #1840 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C[CH]C(94), CCC(95); -! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+C6H8(125)<=>CCC(95)+C6H7(123) 2.320000e-03 4.340 -0.400 - -! Reaction index: Chemkin #1841; RMG #1841 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H10R(90)<=>C6H7(123)+C6H11R(98) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1842; RMG #1842 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H10L(103)<=>C6H7(123)+C6H11L(107) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1843; RMG #1843 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C6H8(125), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H9(113)<=>C6H7(123)+C6H10(110) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1844; RMG #1844 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H9(114)<=>C6H7(123)+C6H10(116) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #1845; RMG #1845 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H8(118); C6H7(123), C6H7(123); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H7(123)+C6H8(125)<=>C6H7(123)+C6H8(118) 1.564000e-03 4.340 8.900 - -! Reaction index: Chemkin #1846; RMG #1846 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C7H12R(108)<=>C6H7(123)+C7H13R(120) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #1847; RMG #1847 -! Template reaction: R_Recombination -! Flux pairs: H(82), C6H8(125); C6H7(123), C6H8(125); -! Matched reaction 16 C6H7-4 + H <=> C6H8-5 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H_Ext-5R!H-R_Ext-5R!H-R] -! family: R_Recombination -H(82)+C6H7(123)<=>C6H8(125) 5.871000e+13 0.158 -0.004 - -! Reaction index: Chemkin #1848; RMG #1848 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(65)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1849; RMG #1849 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(69)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1850; RMG #1850 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(66)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1851; RMG #1851 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(68)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1852; RMG #1852 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(72)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1853; RMG #1853 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(73)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1854; RMG #1854 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(71)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1855; RMG #1855 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(67)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1856; RMG #1856 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H17LR(70)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1857; RMG #1857 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H20R(64)<=>C6H8(125)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1858; RMG #1858 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H20L(76)<=>C6H8(125)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1859; RMG #1859 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C6H7(123)<=>C3H5R(12)+C6H8(125) 2.451710e+27 -4.376 7.102 - -! Reaction index: Chemkin #1860; RMG #1860 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1861; RMG #1861 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1862; RMG #1862 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(125)+C6H11R(17) 2.451710e+27 -4.376 6.915 - -! Reaction index: Chemkin #1863; RMG #1863 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C6H7(123)<=>C3H6(18)+C6H8(125) 4.903420e+27 -4.376 6.997 - -! Reaction index: Chemkin #1864; RMG #1864 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C6H7(123)<=>C2H3L(19)+C6H8(125) 2.451710e+27 -4.376 7.102 - -! Reaction index: Chemkin #1865; RMG #1865 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1866; RMG #1866 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C8H16L(15)<=>C6H8(125)+C8H15L(21) 2.451710e+27 -4.376 6.915 - -! Reaction index: Chemkin #1867; RMG #1867 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H14R(9)<=>C6H8(125)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1868; RMG #1868 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(24)+C6H8(125) 2.451710e+27 -4.376 6.915 - -! Reaction index: Chemkin #1869; RMG #1869 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H12L(11)<=>C6H8(125)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1870; RMG #1870 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(125)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1871; RMG #1871 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1872; RMG #1872 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1873; RMG #1873 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C6H7(123)<=>C3H5R(58)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1874; RMG #1874 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H7(123)<=>C3H5L(59)+C6H8(125) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1875; RMG #1875 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H7(123)<=>C4H7R(60)+C6H8(125) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1876; RMG #1876 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C8H16L(15)<=>C6H8(125)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1877; RMG #1877 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C7H14R(9)<=>C6H8(125)+C7H13R(62) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1878; RMG #1878 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C6H12L(11)<=>C6H8(125)+C6H11L(63) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #1879; RMG #1879 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #1880; RMG #1880 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #1881; RMG #1881 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H9(114)<=>[H][H](83)+C6H8(125) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #1882; RMG #1882 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H15(85)<=>C6H8(125)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1883; RMG #1883 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C8H16L(15)<=>C6H8(125)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #1884; RMG #1884 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C6H7(123)+C6H9(114)<=>C6H8(118)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #1885; RMG #1885 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H9(114)<=>C6H8(125)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1886; RMG #1886 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C7H11(126); C6H8(125), C7H11(126); -! From training reaction 94 used for Cds-CsH_Cds-CdCs;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C6H8(125)<=>C7H11(126) 1.079950e+05 2.652 -2.017 - -! Reaction index: Chemkin #1887; RMG #1887 -! Library reaction: restart -! Flux pairs: C7H11(127), C7H11(126); -! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S -C7H11(127)<=>C7H11(126) 1.572550e+29 -4.713 39.081 - -! Reaction index: Chemkin #1888; RMG #1888 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C8H13LR(128); C5H7L(104), C8H13LR(128); -! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C5H7L(104)<=>C8H13LR(128) 2.180000e+03 2.410 0.340 - -! Reaction index: Chemkin #1889; RMG #1889 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4R(78), C8H11LR(129); C5H7L(104), C8H11LR(129); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H4R(78)+C5H7L(104)<=>C8H11LR(129) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #1890; RMG #1890 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5(102), C7H10L(130); C4H5L(91), C7H10L(130); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5(102)+C4H5L(91)<=>C7H10L(130) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #1891; RMG #1891 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C6H10L(131); C5H7L(104), C6H10L(131); -! From training reaction 291 used for Cds-HH_Cds-CdCs;CsJ-HHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C5H7L(104)<=>C6H10L(131) 2.680000e+04 2.410 2.100 - -! Reaction index: Chemkin #1892; RMG #1892 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H14L(132); C6H9(113), C9H14L(132); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H9(113)<=>C9H14L(132) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1893; RMG #1893 -! Library reaction: restart -! Flux pairs: C3H4R(78), C6H8R2(133); C3H4R(78), C6H8R2(133); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C3H4R(78)+C3H4R(78)<=>C6H8R2(133) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #1894; RMG #1894 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C8H11LR(134); C4H6R(79), C8H11LR(134); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C4H6R(79)<=>C8H11LR(134) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #1895; RMG #1895 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H16L(135); C6H9(113), C11H16L(135); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H9(113)<=>C11H16L(135) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #1896; RMG #1896 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H16L(136); C6H9(113), C11H16L(136); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H9(113)<=>C11H16L(136) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #1897; RMG #1897 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H16R(137); C6H9(113), C10H16R(137); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H9(113)<=>C10H16R(137) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1898; RMG #1898 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C5H9LR(138); C3H5R(12), C5H9LR(138); -! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C3H5R(12)<=>C5H9LR(138) 1.710000e+03 2.410 3.550 - -! Reaction index: Chemkin #1899; RMG #1899 -! Library reaction: restart -! Flux pairs: CH3(74), CC(L)CC(C)CR(37); C5H9LR(138), CC(L)CC(C)CR(37); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C5H9LR(138)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #1900; RMG #1900 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C6H10L(139); C3H5(102), C6H10L(139); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C3H5(102)<=>C6H10L(139) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #1901; RMG #1901 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H16R(140); C6H9(113), C10H16R(140); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H9(113)<=>C10H16R(140) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1902; RMG #1902 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5(102), C8H12L(141); C5H7L(104), C8H12L(141); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5(102)+C5H7L(104)<=>C8H12L(141) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #1903; RMG #1903 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H6R(79), C9H13LR(142); C5H7L(104), C9H13LR(142); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H6R(79)+C5H7L(104)<=>C9H13LR(142) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #1904; RMG #1904 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C7H11LR(143); C4H6R(79), C7H11LR(143); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C4H6R(79)<=>C7H11LR(143) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1905; RMG #1905 -! Library reaction: restart -! Flux pairs: C6H9LR(99), C6H9LR(144); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Ext-8R!H-R_Ext-4R!H-R_N-Sp-9R!H=8R!H -C6H9LR(99)<=>C6H9LR(144) 9.833340e+10 0.517 17.349 - -! Reaction index: Chemkin #1906; RMG #1906 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C6H9L2(145); C4H5L(91), C6H9L2(145); -! From training reaction 473 used for Cds-CsH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C4H5L(91)<=>C6H9L2(145) 9.220000e+02 2.410 2.240 - -! Reaction index: Chemkin #1907; RMG #1907 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4R(78), C7H11R2(146); C4H7R(60), C7H11R2(146); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H4R(78)+C4H7R(60)<=>C7H11R2(146) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #1908; RMG #1908 -! Library reaction: restart -! Flux pairs: H(82), C3H5L(59); C3H4L(147), C3H5L(59); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -! Multiplied by reaction path degeneracy 2.0 -H(82)+C3H4L(147)<=>C3H5L(59) 3.251960e+13 0.255 0.000 - -! Reaction index: Chemkin #1909; RMG #1909 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+[CH2]C(C)CR(6)<=>C3H4L(147)+CC(C)CR(20) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1910; RMG #1910 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CR(10), CCCR(27); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C[CH]CR(10)<=>C3H4L(147)+CCCR(27) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1911; RMG #1911 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C[CH]CC(C)CR(5)<=>C3H4L(147)+CCCC(C)CR(32) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1912; RMG #1912 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+[CH2]C(C)L(4)<=>C3H4L(147)+CC(C)L(13) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1913; RMG #1913 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C7H14R(9)<=>C3H4L(147)+CC(C)CC(C)CR(23) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1914; RMG #1914 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C[CH]CC(C)L(7)<=>C3H4L(147)+CCCC(C)L(16) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1915; RMG #1915 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(59), C3H4L(147); C[CH]L(8), CCL(26); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C3H5L(59)<=>CCL(26)+C3H4L(147) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1916; RMG #1916 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C6H12L(11)<=>C3H4L(147)+CC(C)CC(C)L(25) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1917; RMG #1917 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(12); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C[CH]CR(10)<=>C3H5L(59)+C3H5R(12) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #1918; RMG #1918 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(59), C3H4L(147); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C3H5L(59)<=>CR(22)+C3H4L(147) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1919; RMG #1919 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C[CH]CC(C)CR(5)<=>C3H5L(59)+C6H11R(17) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #1920; RMG #1920 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C3H4L(147)+C[CH]C(94)<=>C3H5L(59)+C3H6(18) 4.903420e+27 -4.376 6.166 - -! Reaction index: Chemkin #1921; RMG #1921 -! Library reaction: restart -! Flux pairs: C3H4L(147), C3H5L(59); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C3H4L(147)<=>C2H3L(19)+C3H5L(59) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #1922; RMG #1922 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C8H16L(15)<=>C3H5L(59)+C8H15L(21) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #1923; RMG #1923 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C[CH]CC(C)L(7)<=>C3H5L(59)+C5H9L(24) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #1924; RMG #1924 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C[CH]CC(C)CR(5)<=>C3H5L(59)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1925; RMG #1925 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C[CH]CC(C)L(7)<=>C3H5L(59)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1926; RMG #1926 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C[CH]CR(10)<=>C3H5L(59)+C3H5R(58) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1927; RMG #1927 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(59); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5L(59) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1928; RMG #1928 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+[CH2]C(C)CR(6)<=>C3H5L(59)+C4H7R(60) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1929; RMG #1929 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C8H16L(15)<=>C3H5L(59)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1930; RMG #1930 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C7H14R(9)<=>C3H5L(59)+C7H13R(62) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1931; RMG #1931 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C6H12L(11)<=>C3H5L(59)+C6H11L(63) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #1932; RMG #1932 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C10H20R(64)<=>C3H4L(147)+RC10(2) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1933; RMG #1933 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(65)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #1934; RMG #1934 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(66)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1935; RMG #1935 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(70)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1936; RMG #1936 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(71)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1937; RMG #1937 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C8H16L(15)<=>C3H4L(147)+C8H17L(49) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1938; RMG #1938 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(67)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1939; RMG #1939 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(68)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1940; RMG #1940 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(69)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #1941; RMG #1941 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(72)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #1942; RMG #1942 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C9H17LR(73)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1943; RMG #1943 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(59), C3H4L(147); CH3(74), C(75); -! From training reaction 760 used for C/H3/Cd\Cs_Cd\H2;C_methyl -! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C3H5L(59)<=>C(75)+C3H4L(147) 5.940000e-02 4.260 7.550 - -! Reaction index: Chemkin #1944; RMG #1944 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C10H20L(76)<=>C3H4L(147)+LC10(3) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #1945; RMG #1945 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C5H9L(57)<=>C3H5L(59)+C5H8L(77) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1946; RMG #1946 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C5H9L(84)<=>C3H5L(59)+C5H8L(77) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1947; RMG #1947 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(12), C3H5L(59); C3H4L(147), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C3H5R(12)<=>C3H4R(78)+C3H5L(59) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1948; RMG #1948 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H5L(59); C3H4L(147), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C3H5R(58)<=>C3H4R(78)+C3H5L(59) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1949; RMG #1949 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C4H7R(60)<=>C3H5L(59)+C4H6R(79) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1950; RMG #1950 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H4L(147)+C4H7R(81)<=>C3H5L(59)+C4H6R(79) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1951; RMG #1951 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(59), C3H4L(147); H(82), [H][H](83); -! From training reaction 759 used for C/H3/Cd\Cs_Cd\H2;H_rad -! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C3H5L(59)<=>[H][H](83)+C3H4L(147) 2.514000e+03 3.180 4.370 - -! Reaction index: Chemkin #1952; RMG #1952 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C7H15(85)<=>C3H4L(147)+CC(C)CC(C)C(87) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #1953; RMG #1953 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C5H9L(24)<=>C3H5L(59)+C5H8L(89) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1954; RMG #1954 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C3H4L(147), C3H5L(59); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C5H9L(57)<=>C3H5L(59)+C5H8L(89) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1955; RMG #1955 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C6H11R(56)<=>C3H5L(59)+C6H10R(90) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1956; RMG #1956 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H11R(98)<=>C3H5L(59)+C6H10R(90) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1957; RMG #1957 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]C(94), CCC(95); C3H5L(59), C3H4L(147); -! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C[CH]C(94)<=>C3H4L(147)+CCC(95) 1.008000e-03 4.340 4.700 - -! Reaction index: Chemkin #1958; RMG #1958 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C3H6(18)<=>C3H5L(59)+C3H5(102) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1959; RMG #1959 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H11L(63)<=>C3H5L(59)+C6H10L(103) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1960; RMG #1960 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H4L(147)+C6H11L(107)<=>C3H5L(59)+C6H10L(103) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1961; RMG #1961 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C7H13R(62)<=>C3H5L(59)+C7H12R(108) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1962; RMG #1962 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C3H4L(147)+C7H13R(120)<=>C3H5L(59)+C7H12R(108) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #1963; RMG #1963 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C8H15L(61)<=>C3H5L(59)+C8H14L(112) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #1964; RMG #1964 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C6H10(110)<=>C3H5L(59)+C6H9(113) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1965; RMG #1965 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H10(116)<=>C3H5L(59)+C6H9(114) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1966; RMG #1966 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1967; RMG #1967 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H8(118)<=>C3H5L(59)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #1968; RMG #1968 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H8(125)<=>C3H5L(59)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #1969; RMG #1969 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #1970; RMG #1970 -! Library reaction: restart -! Flux pairs: C7H9LR(100), C7H9LR(148); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R -C7H9LR(100)<=>C7H9LR(148) 2.322560e-20 8.934 1.317 - -! Reaction index: Chemkin #1971; RMG #1971 -! Library reaction: restart -! Flux pairs: C3H4L(147), L[C]1CC1(149); -! Estimated from node Backbone0 -C3H4L(147)<=>L[C]1CC1(149) 1.014560e+05 2.304 29.598 - -! Reaction index: Chemkin #1972; RMG #1972 -! Library reaction: restart -! Flux pairs: C7H9LR(148), C7H9LR(150); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R -C7H9LR(148)<=>C7H9LR(150) 4.825870e+53 -11.671 43.097 - -! Reaction index: Chemkin #1973; RMG #1973 -! Library reaction: restart -! Flux pairs: C7H9LR(100), C7H9LR(151); -! Estimated from node Backbone4_N-Sp-5R!H-2R!H_Sp-2R!H-1R!H_N-3R!H-inRing_6R!H->C_Sp-3R!H-1R!H -C7H9LR(100)<=>C7H9LR(151) 5.228090e+01 2.741 14.849 - -! Reaction index: Chemkin #1974; RMG #1974 -! Library reaction: restart -! Flux pairs: C7H9LR(151), C7H9LR(150); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R -C7H9LR(151)<=>C7H9LR(150) 4.825870e+53 -11.671 45.710 - -! Reaction index: Chemkin #1975; RMG #1975 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4L(147), C7H9L2(152); C4H5L(91), C7H9L2(152); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H4L(147)+C4H5L(91)<=>C7H9L2(152) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #1976; RMG #1976 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5(102), C7H12R(153); C4H7R(60), C7H12R(153); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5(102)+C4H7R(60)<=>C7H12R(153) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #1977; RMG #1977 -! Library reaction: restart -! Flux pairs: C7H9LR(151), C7H9LR(154); -! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-7R!H-R_4R!H-inRing -C7H9LR(151)<=>C7H9LR(154) 6.090000e+08 0.695 15.986 - -! Reaction index: Chemkin #1978; RMG #1978 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), CC[C](C)L(155); C3H5L(59), CC[C](C)L(155); -! From training reaction 255 used for Cds-HH_Cds-CsCs;CsJ-HHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C3H5L(59)<=>CC[C](C)L(155) 2.640000e+04 2.410 4.930 - -! Reaction index: Chemkin #1979; RMG #1979 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C7H13R(62); C4H7(156), C7H13R(62); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C4H7(156)<=>C7H13R(62) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1980; RMG #1980 -! Library reaction: restart -! Flux pairs: C[CH]L(8), C6H11L(63); C4H7(156), C6H11L(63); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C4H7(156)<=>C6H11L(63) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #1981; RMG #1981 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(65)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460 - -! Reaction index: Chemkin #1982; RMG #1982 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(69)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460 - -! Reaction index: Chemkin #1983; RMG #1983 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(66)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1984; RMG #1984 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(68)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1985; RMG #1985 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(72)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460 - -! Reaction index: Chemkin #1986; RMG #1986 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(73)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1987; RMG #1987 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(71)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1988; RMG #1988 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(67)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1989; RMG #1989 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C9H17LR(70)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1990; RMG #1990 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C10H20R(64)<=>C4H7(156)+RC10(2) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1991; RMG #1991 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C10H20L(76)<=>C4H7(156)+LC10(3) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1992; RMG #1992 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C3H5R(12), C3H4R(78); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H5R(12)+C4H7(156)<=>C3H4R(78)+C4H8(157) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #1993; RMG #1993 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C4H8(157)<=>CC(C)L(13)+C4H7(156) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1994; RMG #1994 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C[CH]CC(C)L(7)<=>C4H7(156)+CCCC(C)L(16) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #1995; RMG #1995 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C3H6(18), C3H5(102); -! Estimated using template [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H6(18)+C4H7(156)<=>C3H5(102)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #1996; RMG #1996 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+[CH2]C(C)CR(6)<=>C4H7(156)+CC(C)CR(20) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1997; RMG #1997 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]R(14)+C4H8(157)<=>CR(22)+C4H7(156) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1998; RMG #1998 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C7H14R(9)<=>C4H7(156)+CC(C)CC(C)CR(23) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #1999; RMG #1999 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C5H9L(24)<=>C4H8(157)+C5H8L(89) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2000; RMG #2000 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C6H12L(11)<=>C4H7(156)+CC(C)CC(C)L(25) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #2001; RMG #2001 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); C[CH]L(8), CCL(26); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]L(8)+C4H8(157)<=>CCL(26)+C4H7(156) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #2002; RMG #2002 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); C[CH]CR(10), CCCR(27); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]CR(10)+C4H8(157)<=>CCCR(27)+C4H7(156) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #2003; RMG #2003 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C[CH]CC(C)CR(5)<=>C4H7(156)+CCCC(C)CR(32) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #2004; RMG #2004 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C4H8(157), C4H7(156); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C8H16L(15)<=>C4H7(156)+C8H17L(49) 2.400730e-04 4.665 5.150 - -! Reaction index: Chemkin #2005; RMG #2005 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C6H11R(56)<=>C4H8(157)+C6H10R(90) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2006; RMG #2006 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C5H9L(57)<=>C4H8(157)+C5H8L(77) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2007; RMG #2007 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C5H9L(57)<=>C4H8(157)+C5H8L(89) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2008; RMG #2008 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5R(58)+C4H7(156)<=>C3H4R(78)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2009; RMG #2009 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C3H5L(59), C3H4L(147); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5L(59)+C4H7(156)<=>C3H4L(147)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2010; RMG #2010 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C4H7R(60), C4H6R(79); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7R(60)+C4H7(156)<=>C4H6R(79)+C4H8(157) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2011; RMG #2011 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C8H15L(61)<=>C4H8(157)+C8H14L(112) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2012; RMG #2012 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C7H13R(62)<=>C4H8(157)+C7H12R(108) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2013; RMG #2013 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H11L(63)<=>C4H8(157)+C6H10L(103) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2014; RMG #2014 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); CH3(74), C(75); -! Matched reaction 760 CH3_r3 + C4H8 <=> CH4b + C4H7 in H_Abstraction/training -! This reaction matched rate rule [C_methane;C_rad/H2/Cd\Cs_Cd\H2] -! family: H_Abstraction -CH3(74)+C4H8(157)<=>C(75)+C4H7(156) 1.188000e-01 4.260 7.550 - -! Reaction index: Chemkin #2015; RMG #2015 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C4H7R(81), C4H6R(79); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H7R(81)+C4H7(156)<=>C4H6R(79)+C4H8(157) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #2016; RMG #2016 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); H(82), [H][H](83); -! Matched reaction 759 H + C4H8 <=> H2 + C4H7 in H_Abstraction/training -! This reaction matched rate rule [H2;C_rad/H2/Cd\Cs_Cd\H2] -! family: H_Abstraction -H(82)+C4H8(157)<=>[H][H](83)+C4H7(156) 5.028000e+03 3.180 4.370 - -! Reaction index: Chemkin #2017; RMG #2017 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C5H9L(84)<=>C4H8(157)+C5H8L(77) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2018; RMG #2018 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C7H15(85)<=>C4H7(156)+CC(C)CC(C)C(87) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #2019; RMG #2019 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); C[CH]C(94), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C[CH]C(94)+C4H8(157)<=>CCC(95)+C4H7(156) 2.016000e-03 4.340 4.700 - -! Reaction index: Chemkin #2020; RMG #2020 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H11R(98)<=>C4H8(157)+C6H10R(90) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2021; RMG #2021 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H7(156)+C6H11L(107)<=>C4H8(157)+C6H10L(103) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #2022; RMG #2022 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C6H10(110)<=>C4H8(157)+C6H9(113) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2023; RMG #2023 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2024; RMG #2024 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2025; RMG #2025 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H10(116)<=>C4H8(157)+C6H9(114) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2026; RMG #2026 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H8(118)<=>C4H8(157)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2027; RMG #2027 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H7(156)+C7H13R(120)<=>C4H8(157)+C7H12R(108) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #2028; RMG #2028 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H8(125)<=>C4H8(157)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2029; RMG #2029 -! Library reaction: restart -! Flux pairs: H(82), C4H8(157); C4H7(156), C4H8(157); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -! Multiplied by reaction path degeneracy 2.0 -H(82)+C4H7(156)<=>C4H8(157) 3.251960e+13 0.255 0.000 - -! Reaction index: Chemkin #2030; RMG #2030 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C4H7(156)<=>C3H5R(12)+C4H8(157) 2.451710e+27 -4.376 5.972 - -! Reaction index: Chemkin #2031; RMG #2031 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C[CH]CC(C)CR(5)<=>C4H8(157)+C6H11R(17) 2.451710e+27 -4.376 5.805 - -! Reaction index: Chemkin #2032; RMG #2032 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C4H7(156)<=>C3H6(18)+C4H8(157) 4.903420e+27 -4.376 5.879 - -! Reaction index: Chemkin #2033; RMG #2033 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C4H7(156)<=>C2H3L(19)+C4H8(157) 2.451710e+27 -4.376 5.972 - -! Reaction index: Chemkin #2034; RMG #2034 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C8H16L(15)<=>C4H8(157)+C8H15L(21) 2.451710e+27 -4.376 5.805 - -! Reaction index: Chemkin #2035; RMG #2035 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C[CH]CC(C)L(7)<=>C4H8(157)+C5H9L(24) 2.451710e+27 -4.376 5.805 - -! Reaction index: Chemkin #2036; RMG #2036 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C[CH]CC(C)CR(5)<=>C4H8(157)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2037; RMG #2037 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C[CH]CC(C)L(7)<=>C4H8(157)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2038; RMG #2038 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C4H7(156)<=>C3H5R(58)+C4H8(157) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2039; RMG #2039 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C4H7(156)<=>C3H5L(59)+C4H8(157) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #2040; RMG #2040 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H8(157); C4H7(156), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H8(157) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #2041; RMG #2041 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C8H16L(15)<=>C4H8(157)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2042; RMG #2042 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C7H14R(9)<=>C4H8(157)+C7H13R(62) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #2043; RMG #2043 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C6H12L(11)<=>C4H8(157)+C6H11L(63) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #2044; RMG #2044 -! Library reaction: restart -! Flux pairs: C4H7(156), C[C]1CC1(158); -! Estimated from node Backbone0 -C4H7(156)<=>C[C]1CC1(158) 1.014560e+05 2.304 29.056 - -! Reaction index: Chemkin #2045; RMG #2045 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H15(159); C6H9(114), C9H15(159); -! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H9(114)<=>C9H15(159) 3.860000e+03 2.410 11.370 - -! Reaction index: Chemkin #2046; RMG #2046 -! Library reaction: restart -! Flux pairs: H(82), C6H10(116); C6H9(160), C6H10(116); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H9(160)<=>C6H10(116) 7.360220e+13 -0.486 0.000 - -! Reaction index: Chemkin #2047; RMG #2047 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H10(116)<=>CC(C)CR(20)+C6H9(160) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2048; RMG #2048 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H10(116)<=>CCCR(27)+C6H9(160) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2049; RMG #2049 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C[CH]CC(C)CR(5)<=>C6H9(160)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2050; RMG #2050 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H10(116)<=>CC(C)L(13)+C6H9(160) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2051; RMG #2051 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H14R(9)<=>C6H9(160)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2052; RMG #2052 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H10(116)<=>CCCC(C)L(16)+C6H9(160) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2053; RMG #2053 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H10(116)<=>CCL(26)+C6H9(160) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2054; RMG #2054 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C6H12L(11)<=>C6H9(160)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2055; RMG #2055 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C6H9(160)<=>C3H5R(12)+C6H10(116) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2056; RMG #2056 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H10(116)<=>CR(22)+C6H9(160) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2057; RMG #2057 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(17) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2058; RMG #2058 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C6H9(160)<=>C3H6(18)+C6H10(116) 4.903420e+27 -4.376 7.519 - -! Reaction index: Chemkin #2059; RMG #2059 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C6H9(160)<=>C2H3L(19)+C6H10(116) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2060; RMG #2060 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C8H16L(15)<=>C6H10(116)+C8H15L(21) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2061; RMG #2061 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)L(7)+C6H9(160)<=>C5H9L(24)+C6H10(116) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2062; RMG #2062 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2063; RMG #2063 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CC(C)L(7)+C6H9(160)<=>C5H9L(57)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2064; RMG #2064 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C6H9(160)<=>C3H5R(58)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2065; RMG #2065 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H9(160)<=>C3H5L(59)+C6H10(116) 1.051630e+14 -0.550 0.110 - -! Reaction index: Chemkin #2066; RMG #2066 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H9(160)<=>C4H7R(60)+C6H10(116) 1.051630e+14 -0.550 0.110 - -! Reaction index: Chemkin #2067; RMG #2067 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C8H16L(15)<=>C6H10(116)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2068; RMG #2068 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H9(160)+C7H14R(9)<=>C6H10(116)+C7H13R(62) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #2069; RMG #2069 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H9(160)+C6H12L(11)<=>C6H10(116)+C6H11L(63) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #2070; RMG #2070 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H9(160), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(65) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2071; RMG #2071 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(66)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2072; RMG #2072 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(67)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2073; RMG #2073 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(68)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2074; RMG #2074 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H9(160), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(69) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2075; RMG #2075 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(70)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2076; RMG #2076 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(71)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2077; RMG #2077 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H9(160), C6H10(116); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(72) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2078; RMG #2078 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C9H17LR(73)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2079; RMG #2079 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C(75)+C6H9(160)<=>CH3(74)+C6H10(116) 8.480000e-02 4.340 24.900 - -! Reaction index: Chemkin #2080; RMG #2080 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(57)+C6H9(160)<=>C5H8L(77)+C6H10(116) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2081; RMG #2081 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H10(116)<=>C5H9L(84)+C6H9(160) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2082; RMG #2082 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H10(116)<=>C3H5R(12)+C6H9(160) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2083; RMG #2083 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H10(116)<=>C3H5R(58)+C6H9(160) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2084; RMG #2084 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H10(116)<=>C4H7R(60)+C6H9(160) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2085; RMG #2085 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H10(116)<=>C4H7R(81)+C6H9(160) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2086; RMG #2086 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H9(160)<=>H(82)+C6H10(116) 9.160000e-02 4.340 22.252 - -! Reaction index: Chemkin #2087; RMG #2087 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H15(85)<=>C6H9(160)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2088; RMG #2088 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H10(116)<=>C5H9L(24)+C6H9(160) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2089; RMG #2089 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H10(116)<=>C5H9L(57)+C6H9(160) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2090; RMG #2090 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C6H11R(56)<=>C6H10(116)+C6H10R(90) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2091; RMG #2091 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C6H10R(90)<=>C6H9(160)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2092; RMG #2092 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -CCC(95)+C6H9(160)<=>C[CH]C(94)+C6H10(116) 2.952000e-02 4.340 18.000 - -! Reaction index: Chemkin #2093; RMG #2093 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H6(18)+C6H9(160)<=>C3H5(102)+C6H10(116) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2094; RMG #2094 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11L(63); C6H10L(103), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H10(116)<=>C6H9(160)+C6H11L(63) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2095; RMG #2095 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11L(107); C6H10L(103), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H10(116)<=>C6H9(160)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2096; RMG #2096 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H12R(108)<=>C6H9(160)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2097; RMG #2097 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C7H12R(108)<=>C6H9(160)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2098; RMG #2098 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C8H15L(61)<=>C6H10(116)+C8H14L(112) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2099; RMG #2099 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H10(116); C6H9(160), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H9(160)+C6H10(110)<=>C6H9(113)+C6H10(116) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2100; RMG #2100 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H10(116); C6H9(160), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9(160)+C6H10(116)<=>C6H9(114)+C6H10(116) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2101; RMG #2101 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H9(114)<=>C6H8(118)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2102; RMG #2102 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C8H16L(15)<=>C6H9(160)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2103; RMG #2103 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H20R(64)<=>C6H9(160)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2104; RMG #2104 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H20L(76)<=>C6H9(160)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2105; RMG #2105 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(118)+C6H9(160)<=>C6H7(123)+C6H10(116) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2106; RMG #2106 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(125)+C6H9(160)<=>C6H7(123)+C6H10(116) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2107; RMG #2107 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(65)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2108; RMG #2108 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(69)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2109; RMG #2109 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(66)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2110; RMG #2110 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(68)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2111; RMG #2111 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(72)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2112; RMG #2112 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(73)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2113; RMG #2113 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(71)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2114; RMG #2114 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(67)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2115; RMG #2115 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H17LR(70)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2116; RMG #2116 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H20R(64)<=>C6H8(125)+RC10(2) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2117; RMG #2117 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H20L(76)<=>C6H8(125)+LC10(3) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2118; RMG #2118 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4R(78)+C6H9(160)<=>C3H5R(12)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2119; RMG #2119 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)L(4)+C6H9(160)<=>CC(C)L(13)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2120; RMG #2120 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CC(C)L(7)+C6H9(160)<=>CCCC(C)L(16)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2121; RMG #2121 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C3H5(102)+C6H9(160)<=>C3H6(18)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2122; RMG #2122 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)CR(6)+C6H9(160)<=>CC(C)CR(20)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2123; RMG #2123 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]R(14)+C6H9(160)<=>CR(22)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2124; RMG #2124 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H14R(9)<=>C6H8(125)+CC(C)CC(C)CR(23) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2125; RMG #2125 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H8L(89)+C6H9(160)<=>C5H9L(24)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2126; RMG #2126 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H12L(11)<=>C6H8(125)+CC(C)CC(C)L(25) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2127; RMG #2127 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]L(8)+C6H9(160)<=>CCL(26)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2128; RMG #2128 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C6H9(160)<=>CCCR(27)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2129; RMG #2129 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C[CH]CC(C)CR(5)<=>C6H8(125)+CCCC(C)CR(32) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2130; RMG #2130 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10R(90)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2131; RMG #2131 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H8L(77)+C6H9(160)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2132; RMG #2132 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H8L(89)+C6H9(160)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2133; RMG #2133 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4R(78)+C6H9(160)<=>C3H5R(58)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2134; RMG #2134 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C3H4L(147)+C6H9(160)<=>C3H5L(59)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2135; RMG #2135 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(79)+C6H9(160)<=>C4H7R(60)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2136; RMG #2136 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C8H14L(112)<=>C6H8(125)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2137; RMG #2137 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H12R(108)<=>C6H8(125)+C7H13R(62) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2138; RMG #2138 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10L(103)<=>C6H8(125)+C6H11L(63) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2139; RMG #2139 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H9(160)<=>C(75)+C6H8(125) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #2140; RMG #2140 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 4.0 -CH3(74)+C6H9(160)<=>C(75)+C6H8(125) 1.824940e+13 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #2141; RMG #2141 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(79)+C6H9(160)<=>C4H7R(81)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2142; RMG #2142 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 4.0 -H(82)+C6H9(160)<=>[H][H](83)+C6H8(125) 2.383380e+10 0.568 0.000 - -! Reaction index: Chemkin #2143; RMG #2143 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H8L(77)+C6H9(160)<=>C5H9L(84)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2144; RMG #2144 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H15(85)<=>C6H8(125)+CC(C)CC(C)C(87) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2145; RMG #2145 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]C(94)+C6H9(160)<=>CCC(95)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2146; RMG #2146 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10R(90)<=>C6H8(125)+C6H11R(98) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2147; RMG #2147 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10L(103)<=>C6H8(125)+C6H11L(107) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2148; RMG #2148 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H9(113)<=>C6H8(125)+C6H10(110) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2149; RMG #2149 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C6H9(160)+C6H9(114)<=>C6H8(125)+C6H10(116) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2150; RMG #2150 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C6H9(160)+C6H9(160)<=>C6H8(125)+C6H10(116) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2151; RMG #2151 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H12R(108)<=>C6H8(125)+C7H13R(120) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2152; RMG #2152 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C8H16L(15)<=>C6H8(125)+C8H17L(49) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2153; RMG #2153 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C6H7(123)+C6H9(160)<=>C6H8(118)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2154; RMG #2154 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C6H7(123)+C6H9(160)<=>C6H8(125)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2155; RMG #2155 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H9(160); C6H8(125), C6H9(160); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H8(125)<=>C6H9(160) 1.650000e+09 1.480 0.900 - -! Reaction index: Chemkin #2156; RMG #2156 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H10(116)<=>C3H5L(59)+C6H9(160) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2157; RMG #2157 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H10(116)<=>C4H8(157)+C6H9(160) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2158; RMG #2158 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C4H7(156)+C6H9(160)<=>C4H8(157)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2159; RMG #2159 -! Library reaction: restart -! Flux pairs: C6H9(161), C6H9(160); -! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S -C6H9(161)<=>C6H9(160) 1.572550e+29 -4.713 38.627 - -! Reaction index: Chemkin #2160; RMG #2160 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4L(147), C8H11L2(162); C5H7L(104), C8H11L2(162); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H4L(147)+C5H7L(104)<=>C8H11L2(162) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #2161; RMG #2161 -! Template reaction: R_Recombination -! Flux pairs: C3H5(102), C6H10(163); C3H5(102), C6H10(163); -! Matched reaction 125 C3H5 + C3H5 <=> C6H10-2 in R_Recombination/training -! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N- -! Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R] -! family: R_Recombination -C3H5(102)+C3H5(102)<=>C6H10(163) 2.040000e+13 0.000 -0.260 - -! Reaction index: Chemkin #2162; RMG #2162 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C8H12L(164); C4H7(156), C8H12L(164); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C4H7(156)<=>C8H12L(164) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #2163; RMG #2163 -! Library reaction: restart -! Flux pairs: C3H4R(78), C6H8R2(165); C3H4R(78), C6H8R2(165); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C3H4R(78)+C3H4R(78)<=>C6H8R2(165) 1.740640e+13 -0.158 0.000 - -! Reaction index: Chemkin #2164; RMG #2164 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H14L(166); C6H9(161), C9H14L(166); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H9(161)<=>C9H14L(166) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2165; RMG #2165 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H14L(167); C6H9(161), C10H14L(167); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H9(161)<=>C10H14L(167) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #2166; RMG #2166 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H16L(168); C6H9(161), C11H16L(168); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H9(161)<=>C11H16L(168) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #2167; RMG #2167 -! Library reaction: restart -! Flux pairs: H(82), C6H11L(107); C6H10L(169), C6H11L(107); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R -H(82)+C6H10L(169)<=>C6H11L(107) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #2168; RMG #2168 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11L(107)<=>CC(C)CR(20)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2169; RMG #2169 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C6H11L(107)<=>CCCR(27)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2170; RMG #2170 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C[CH]CC(C)CR(5)<=>C6H10L(169)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2171; RMG #2171 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11L(107)<=>CC(C)L(13)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2172; RMG #2172 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C7H14R(9)<=>C6H10L(169)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2173; RMG #2173 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11L(107)<=>CCCC(C)L(16)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2174; RMG #2174 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C6H11L(107)<=>CCL(26)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2175; RMG #2175 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C6H12L(11)<=>C6H10L(169)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2176; RMG #2176 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10L(169)<=>C3H5R(12)+C6H11L(107) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2177; RMG #2177 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C6H11L(107)<=>CR(22)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2178; RMG #2178 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C8H16L(15)<=>C6H10L(169)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2179; RMG #2179 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11L(107); C6H10L(169), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(107) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2180; RMG #2180 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10L(169)<=>C3H6(18)+C6H11L(107) 2.451710e+27 -4.376 7.254 - -! Reaction index: Chemkin #2181; RMG #2181 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10L(169)<=>C2H3L(19)+C6H11L(107) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2182; RMG #2182 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C8H16L(15)<=>C6H11L(107)+C8H15L(21) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2183; RMG #2183 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(24)+C6H11L(107) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2184; RMG #2184 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11L(107)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2185; RMG #2185 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(57)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2186; RMG #2186 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10L(169)<=>C3H5R(58)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2187; RMG #2187 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10L(169)<=>C3H5L(59)+C6H11L(107) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2188; RMG #2188 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10L(169)<=>C4H7R(60)+C6H11L(107) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2189; RMG #2189 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C8H16L(15)<=>C6H11L(107)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2190; RMG #2190 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(169)+C7H14R(9)<=>C6H11L(107)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2191; RMG #2191 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(107); C6H10L(169), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(169)+C6H12L(11)<=>C6H11L(63)+C6H11L(107) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2192; RMG #2192 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C10H20R(64)<=>C6H10L(169)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2193; RMG #2193 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(107), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(65)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2194; RMG #2194 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(66)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2195; RMG #2195 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(67)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2196; RMG #2196 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(68)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2197; RMG #2197 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(107), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(69)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2198; RMG #2198 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(70)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2199; RMG #2199 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(71)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2200; RMG #2200 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(107), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(72)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2201; RMG #2201 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C9H17LR(73)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2202; RMG #2202 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C6H11L(107)<=>C(75)+C6H10L(169) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #2203; RMG #2203 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C10H20L(76)<=>C6H10L(169)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2204; RMG #2204 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(169), C6H11L(107); C5H9L(57), C5H8L(77); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10L(169)<=>C5H8L(77)+C6H11L(107) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2205; RMG #2205 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C6H11L(107)<=>C5H9L(84)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2206; RMG #2206 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11L(107)<=>C3H5R(12)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2207; RMG #2207 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11L(107)<=>C3H5R(58)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2208; RMG #2208 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11L(107)<=>C4H7R(60)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2209; RMG #2209 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11L(107)<=>C4H7R(81)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2210; RMG #2210 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C7H15(85)<=>C6H10L(169)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2211; RMG #2211 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11L(107)<=>C5H9L(24)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2212; RMG #2212 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11L(107)<=>C5H9L(57)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2213; RMG #2213 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11L(107); C6H10L(169), C6H10R(90); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(169)+C6H11R(56)<=>C6H10R(90)+C6H11L(107) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2214; RMG #2214 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11R(98); C6H10R(90), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C6H11L(107)<=>C6H10L(169)+C6H11R(98) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2215; RMG #2215 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C6H11L(107)<=>CCC(95)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2216; RMG #2216 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C6H11L(107)<=>C3H6(18)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2217; RMG #2217 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11L(63); C6H10L(103), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11L(107)<=>C6H10L(169)+C6H11L(63) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2218; RMG #2218 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11L(107); C6H10L(103), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11L(107)<=>C6H10L(169)+C6H11L(107) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2219; RMG #2219 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C7H12R(108)<=>C6H10L(169)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2220; RMG #2220 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C7H12R(108)<=>C6H10L(169)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2221; RMG #2221 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(169), C6H11L(107); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(169)+C8H15L(61)<=>C6H11L(107)+C8H14L(112) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2222; RMG #2222 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C6H11L(107)<=>C6H10(110)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2223; RMG #2223 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C6H11L(107)<=>C6H10(116)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2224; RMG #2224 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(169)<=>C6H8(118)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2225; RMG #2225 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11L(107)<=>C6H8(118)+C6H10L(169) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #2226; RMG #2226 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11L(107)<=>C6H8(125)+C6H10L(169) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #2227; RMG #2227 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(169)<=>C6H8(125)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2228; RMG #2228 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10L(169)<=>C6H8(125)+C6H11L(107) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2229; RMG #2229 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C6H11L(107)<=>C3H5L(59)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2230; RMG #2230 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C6H11L(107)<=>C4H8(157)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2231; RMG #2231 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C6H11L(107)<=>C6H10(116)+C6H10L(169) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2232; RMG #2232 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C6H11L(107)<=>[H][H](83)+C6H10L(169) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #2233; RMG #2233 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4L(147), C6H9L2(170); C3H5L(59), C6H9L2(170); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H4L(147)+C3H5L(59)<=>C6H9L2(170) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2234; RMG #2234 -! Library reaction: restart -! Flux pairs: H(82), C6H11R(17); C6H10R(171), C6H11R(17); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C6H10R(171)<=>C6H11R(17) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #2235; RMG #2235 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11R(17)<=>CC(C)CR(20)+C6H10R(171) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2236; RMG #2236 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H11R(17)<=>CCCR(27)+C6H10R(171) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2237; RMG #2237 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C[CH]CC(C)CR(5)<=>C6H10R(171)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2238; RMG #2238 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11R(17)<=>CC(C)L(13)+C6H10R(171) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2239; RMG #2239 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C7H14R(9)<=>C6H10R(171)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2240; RMG #2240 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11R(17)<=>CCCC(C)L(16)+C6H10R(171) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2241; RMG #2241 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H11R(17)<=>CCL(26)+C6H10R(171) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2242; RMG #2242 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C6H12L(11)<=>C6H10R(171)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2243; RMG #2243 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10R(171)<=>C3H5R(12)+C6H11R(17) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2244; RMG #2244 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H11R(17)<=>CR(22)+C6H10R(171) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2245; RMG #2245 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C8H16L(15)<=>C6H10R(171)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2246; RMG #2246 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(17) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #2247; RMG #2247 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10R(171)<=>C3H6(18)+C6H11R(17) 2.451710e+27 -4.376 6.946 - -! Reaction index: Chemkin #2248; RMG #2248 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10R(171)<=>C2H3L(19)+C6H11R(17) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2249; RMG #2249 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C8H16L(15)<=>C6H11R(17)+C8H15L(21) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #2250; RMG #2250 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(24)+C6H11R(17) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #2251; RMG #2251 -! Library reaction: restart -! Flux pairs: H(82), C6H11R(56); C6H10R(171), C6H11R(56); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C6H10R(171)<=>C6H11R(56) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #2252; RMG #2252 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11R(56)<=>CC(C)CR(20)+C6H10R(171) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2253; RMG #2253 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C[CH]CR(10), CCCR(27); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C6H11R(56)<=>CCCR(27)+C6H10R(171) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2254; RMG #2254 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C[CH]CC(C)CR(5)<=>C6H10R(171)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2255; RMG #2255 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11R(56)<=>CC(C)L(13)+C6H10R(171) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2256; RMG #2256 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11R(56)<=>CCCC(C)L(16)+C6H10R(171) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2257; RMG #2257 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C6H11R(56)<=>CCL(26)+C6H10R(171) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2258; RMG #2258 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C6H12L(11)<=>C6H10R(171)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2259; RMG #2259 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10R(171)<=>C3H5R(12)+C6H11R(56) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2260; RMG #2260 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C6H11R(56)<=>CR(22)+C6H10R(171) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2261; RMG #2261 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #2262; RMG #2262 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.225850e+27 -4.376 6.090 -DUPLICATE - -! Reaction index: Chemkin #2263; RMG #2263 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10R(171)<=>C3H6(18)+C6H11R(56) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #2264; RMG #2264 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10R(171)<=>C2H3L(19)+C6H11R(56) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2265; RMG #2265 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C8H16L(15)<=>C6H11R(56)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #2266; RMG #2266 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(24)+C6H11R(56) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #2267; RMG #2267 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2268; RMG #2268 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(57)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2269; RMG #2269 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10R(171)<=>C3H5R(58)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2270; RMG #2270 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2271; RMG #2271 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10R(171)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2272; RMG #2272 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10R(171)<=>C3H5L(59)+C6H11R(17) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2273; RMG #2273 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H10R(171)<=>C3H5L(59)+C6H11R(56) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2274; RMG #2274 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10R(171)<=>C4H7R(60)+C6H11R(17) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2275; RMG #2275 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H10R(171)<=>C4H7R(60)+C6H11R(56) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2276; RMG #2276 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C7H14R(9)<=>C6H11R(17)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2277; RMG #2277 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11R(17); C6H10R(171), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H12L(11)<=>C6H11L(63)+C6H11R(17) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2278; RMG #2278 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C10H20R(64)<=>C6H10R(171)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2279; RMG #2279 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C8H16L(15)<=>C6H11R(17)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2280; RMG #2280 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(171), C6H11R(17); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(65) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #2281; RMG #2281 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C8H16L(15)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2282; RMG #2282 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C7H14R(9)<=>C6H11R(56)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2283; RMG #2283 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11R(56); C6H10R(171), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C6H12L(11)<=>C6H11L(63)+C6H11R(56) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2284; RMG #2284 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C7H14R(9)<=>C6H10R(171)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2285; RMG #2285 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C8H16L(15)<=>C6H10R(171)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2286; RMG #2286 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C10H20R(64)<=>C6H10R(171)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2287; RMG #2287 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(171), C6H11R(56); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #2288; RMG #2288 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(66)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2289; RMG #2289 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(67)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2290; RMG #2290 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(68)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2291; RMG #2291 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(171), C6H11R(56); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #2292; RMG #2292 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(70)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2293; RMG #2293 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(71)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2294; RMG #2294 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(171), C6H11R(56); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #2295; RMG #2295 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(66)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2296; RMG #2296 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(67)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2297; RMG #2297 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(68)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2298; RMG #2298 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(171), C6H11R(17); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(69) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #2299; RMG #2299 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(70)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2300; RMG #2300 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(71)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2301; RMG #2301 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(171), C6H11R(17); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(72) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #2302; RMG #2302 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C9H17LR(73)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2303; RMG #2303 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C9H17LR(73)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2304; RMG #2304 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H10R(171)<=>CH3(74)+C6H11R(17) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #2305; RMG #2305 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); CH3(74), C(75); -! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C6H11R(56)<=>C(75)+C6H10R(171) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #2306; RMG #2306 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C10H20L(76)<=>C6H10R(171)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2307; RMG #2307 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C10H20L(76)<=>C6H10R(171)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2308; RMG #2308 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10R(171)<=>C5H8L(77)+C6H11R(17) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2309; RMG #2309 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H11R(17)<=>C5H9L(84)+C6H10R(171) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2310; RMG #2310 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(57), C5H8L(77); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H10R(171)<=>C5H8L(77)+C6H11R(56) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2311; RMG #2311 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C6H10R(171)<=>C5H8L(77)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2312; RMG #2312 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H11R(17)<=>C3H5R(12)+C6H10R(171) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2313; RMG #2313 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H11R(17)<=>C3H5R(58)+C6H10R(171) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2314; RMG #2314 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C6H10R(171)<=>C3H4R(78)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2315; RMG #2315 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+C6H10R(171)<=>C3H4R(78)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2316; RMG #2316 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H11R(17)<=>C4H7R(60)+C6H10R(171) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2317; RMG #2317 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H11R(17)<=>C4H7R(81)+C6H10R(171) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2318; RMG #2318 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C6H10R(171)<=>C4H6R(79)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2319; RMG #2319 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C6H10R(171)<=>C4H6R(79)+C6H11R(56) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2320; RMG #2320 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); H(82), [H][H](83); -! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C6H11R(56)<=>[H][H](83)+C6H10R(171) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #2321; RMG #2321 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[H][H](83)+C6H10R(171)<=>H(82)+C6H11R(17) 4.580000e-02 4.340 22.200 - -! Reaction index: Chemkin #2322; RMG #2322 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C7H15(85)<=>C6H10R(171)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2323; RMG #2323 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H11R(56)+C7H15(85)<=>C6H10R(171)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2324; RMG #2324 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H10R(171)<=>C5H8L(89)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2325; RMG #2325 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H11R(17)<=>C5H9L(57)+C6H10R(171) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2326; RMG #2326 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C6H10R(171)<=>C5H8L(89)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2327; RMG #2327 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L(57)+C6H10R(171)<=>C5H8L(89)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2328; RMG #2328 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11R(17); C6H10R(171), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11R(56)<=>C6H10R(90)+C6H11R(17) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2329; RMG #2329 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H11R(98); C6H10R(90), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C6H11R(17)<=>C6H10R(171)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2330; RMG #2330 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H11R(56); C6H10R(171), C6H10R(90); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11R(56)<=>C6H10R(90)+C6H11R(56) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2331; RMG #2331 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H11R(56); C6H10R(171), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H11R(98)<=>C6H10R(90)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2332; RMG #2332 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H10R(171)<=>C[CH]C(94)+C6H11R(17) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #2333; RMG #2333 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H10R(171)<=>C[CH]C(94)+C6H11R(56) 2.920000e-02 4.340 16.600 - -! Reaction index: Chemkin #2334; RMG #2334 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H10R(171)<=>C3H5(102)+C6H11R(17) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2335; RMG #2335 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H10R(171)<=>C3H5(102)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2336; RMG #2336 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H11R(17); C6H10R(171), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H11L(63)<=>C6H10L(103)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2337; RMG #2337 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H11L(107); C6H10L(103), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C6H11R(17)<=>C6H10R(171)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2338; RMG #2338 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H11R(56); C6H10R(171), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H11L(63)<=>C6H10L(103)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2339; RMG #2339 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11R(56); C6H10R(171), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H10R(171)+C6H11L(107)<=>C6H10L(103)+C6H11R(56) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2340; RMG #2340 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(171), C6H11R(17); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C7H13R(62)<=>C6H11R(17)+C7H12R(108) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2341; RMG #2341 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(17)+C7H12R(108)<=>C6H10R(171)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2342; RMG #2342 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C7H13R(62)<=>C6H11R(56)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2343; RMG #2343 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H10R(171)+C7H13R(120)<=>C6H11R(56)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2344; RMG #2344 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(171), C6H11R(17); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C8H15L(61)<=>C6H11R(17)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2345; RMG #2345 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(171), C6H11R(56); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C8H15L(61)<=>C6H11R(56)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2346; RMG #2346 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H10R(171)<=>C6H9(113)+C6H11R(17) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2347; RMG #2347 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C6H10R(171)<=>C6H9(113)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2348; RMG #2348 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11R(17); C6H10R(171), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H10(116)<=>C6H9(114)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2349; RMG #2349 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11R(56); C6H10R(171), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H10(116)<=>C6H9(114)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2350; RMG #2350 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(171)<=>C6H8(118)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2351; RMG #2351 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(171)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2352; RMG #2352 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H10R(171)<=>C6H7(123)+C6H11R(17) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2353; RMG #2353 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H10R(171)<=>C6H7(123)+C6H11R(17) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2354; RMG #2354 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H8(118), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H10R(171)<=>C6H7(123)+C6H11R(56) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2355; RMG #2355 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H8(125), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H10R(171)<=>C6H7(123)+C6H11R(56) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2356; RMG #2356 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(171)<=>C6H8(125)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2357; RMG #2357 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10R(171)<=>C6H8(125)+C6H11R(17) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2358; RMG #2358 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(171)<=>C6H8(125)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2359; RMG #2359 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10R(171)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2360; RMG #2360 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H11R(17)<=>C3H5L(59)+C6H10R(171) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2361; RMG #2361 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C3H4L(147), C3H5L(59); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C6H11R(56)<=>C3H5L(59)+C6H10R(171) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2362; RMG #2362 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H11R(17)<=>C4H8(157)+C6H10R(171) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2363; RMG #2363 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C6H11R(56)<=>C4H8(157)+C6H10R(171) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2364; RMG #2364 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11R(17); C6H10R(171), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H10(116)<=>C6H9(160)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #2365; RMG #2365 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H11R(56); C6H10R(171), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H10(116)<=>C6H9(160)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2366; RMG #2366 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11R(17); C6H10R(171), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11L(107)<=>C6H10L(169)+C6H11R(17) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2367; RMG #2367 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H11R(56); C6H10R(171), C6H10L(169); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11L(107)<=>C6H10L(169)+C6H11R(56) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2368; RMG #2368 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H11R(56); C6H10R(171), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C6H11R(17)<=>C6H10R(171)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #2369; RMG #2369 -! Library reaction: restart -! Flux pairs: C7H11LR(143), C7H11LR(172); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Ext-8R!H-R_Ext-4R!H-R_N-Sp-9R!H=8R!H -C7H11LR(143)<=>C7H11LR(172) 9.833340e+10 0.517 17.705 - -! Reaction index: Chemkin #2370; RMG #2370 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]R(14), C6H10R(171); C5H8(173), C6H10R(171); -! From training reaction 472 used for Cds-CsH_Cds-CdH;CsJ-CsHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -[CH2]R(14)+C5H8(173)<=>C6H10R(171) 1.150000e+03 2.410 3.430 - -! Reaction index: Chemkin #2371; RMG #2371 -! Library reaction: restart -! Flux pairs: H(82), C5H8(173); C5H7(174), C5H8(173); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -! Multiplied by reaction path degeneracy 2.0 -H(82)+C5H7(174)<=>C5H8(173) 3.251960e+13 0.255 0.000 - -! Reaction index: Chemkin #2372; RMG #2372 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H8(173)<=>CC(C)CR(20)+C5H7(174) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2373; RMG #2373 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C5H8(173)<=>CCCR(27)+C5H7(174) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2374; RMG #2374 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C[CH]CC(C)CR(5)<=>C5H7(174)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2375; RMG #2375 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H8(173)<=>CC(C)L(13)+C5H7(174) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2376; RMG #2376 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C7H14R(9)<=>C5H7(174)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2377; RMG #2377 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C[CH]CC(C)L(7)<=>C5H7(174)+CCCC(C)L(16) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2378; RMG #2378 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C5H8(173)<=>CCL(26)+C5H7(174) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2379; RMG #2379 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H12L(11)<=>C5H7(174)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2380; RMG #2380 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C5H7(174)<=>C3H5R(12)+C5H8(173) 2.451710e+27 -4.376 8.206 - -! Reaction index: Chemkin #2381; RMG #2381 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C5H8(173)<=>CR(22)+C5H7(174) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2382; RMG #2382 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C[CH]CC(C)CR(5)<=>C5H8(173)+C6H11R(17) 2.451710e+27 -4.376 8.002 - -! Reaction index: Chemkin #2383; RMG #2383 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C5H7(174)<=>C3H6(18)+C5H8(173) 4.903420e+27 -4.376 8.092 - -! Reaction index: Chemkin #2384; RMG #2384 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C5H7(174)<=>C2H3L(19)+C5H8(173) 2.451710e+27 -4.376 8.206 - -! Reaction index: Chemkin #2385; RMG #2385 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C8H16L(15)<=>C5H8(173)+C8H15L(21) 2.451710e+27 -4.376 8.002 - -! Reaction index: Chemkin #2386; RMG #2386 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C[CH]CC(C)L(7)<=>C5H8(173)+C5H9L(24) 2.451710e+27 -4.376 8.002 - -! Reaction index: Chemkin #2387; RMG #2387 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C[CH]CC(C)CR(5)<=>C5H8(173)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2388; RMG #2388 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C[CH]CC(C)L(7)<=>C5H8(173)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2389; RMG #2389 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C5H7(174)<=>C3H5R(58)+C5H8(173) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2390; RMG #2390 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C5H7(174)<=>C3H5L(59)+C5H8(173) 1.566000e+12 0.000 0.211 - -! Reaction index: Chemkin #2391; RMG #2391 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C5H7(174)<=>C4H7R(60)+C5H8(173) 1.566000e+12 0.000 0.211 - -! Reaction index: Chemkin #2392; RMG #2392 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C8H16L(15)<=>C5H8(173)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2393; RMG #2393 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C7H14R(9)<=>C5H8(173)+C7H13R(62) 1.566000e+12 0.000 0.172 - -! Reaction index: Chemkin #2394; RMG #2394 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H12L(11)<=>C5H8(173)+C6H11L(63) 1.566000e+12 0.000 0.172 - -! Reaction index: Chemkin #2395; RMG #2395 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H7(174), C5H8(173); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(65) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #2396; RMG #2396 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(66)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2397; RMG #2397 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(67)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2398; RMG #2398 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(68)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2399; RMG #2399 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C5H7(174), C5H8(173); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(69) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #2400; RMG #2400 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(70)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2401; RMG #2401 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(71)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2402; RMG #2402 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C5H7(174), C5H8(173); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(72) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #2403; RMG #2403 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C9H17LR(73)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2404; RMG #2404 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(174), C5H8(173); C(75), CH3(74); -! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C(75)+C5H7(174)<=>CH3(74)+C5H8(173) 1.120000e-01 4.340 25.080 - -! Reaction index: Chemkin #2405; RMG #2405 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C5H9L(57)<=>C5H8(173)+C5H8L(77) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2406; RMG #2406 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C5H8L(77)<=>C5H7(174)+C5H9L(84) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2407; RMG #2407 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C5H8(173)<=>C3H5R(12)+C5H7(174) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2408; RMG #2408 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C5H8(173)<=>C3H5R(58)+C5H7(174) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2409; RMG #2409 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C5H8(173)<=>C4H7R(60)+C5H7(174) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2410; RMG #2410 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C5H8(173)<=>C4H7R(81)+C5H7(174) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2411; RMG #2411 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C7H15(85)<=>C5H7(174)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2412; RMG #2412 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C5H8L(89)<=>C5H7(174)+C5H9L(24) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2413; RMG #2413 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C5H8L(89)<=>C5H7(174)+C5H9L(57) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2414; RMG #2414 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C6H11R(56)<=>C5H8(173)+C6H10R(90) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2415; RMG #2415 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H10R(90)<=>C5H7(174)+C6H11R(98) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2416; RMG #2416 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(174), C5H8(173); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -CCC(95)+C5H7(174)<=>C[CH]C(94)+C5H8(173) 5.840000e-02 4.340 18.555 - -! Reaction index: Chemkin #2417; RMG #2417 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(174), C5H8(173); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H6(18)+C5H7(174)<=>C3H5(102)+C5H8(173) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2418; RMG #2418 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H10L(103)<=>C5H7(174)+C6H11L(63) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2419; RMG #2419 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H10L(103)<=>C5H7(174)+C6H11L(107) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2420; RMG #2420 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C7H12R(108)<=>C5H7(174)+C7H13R(62) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2421; RMG #2421 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C7H12R(108)<=>C5H7(174)+C7H13R(120) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2422; RMG #2422 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C8H15L(61)<=>C5H8(173)+C8H14L(112) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2423; RMG #2423 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C5H7(174), C5H8(173); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H7(174)+C6H10(110)<=>C5H8(173)+C6H9(113) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2424; RMG #2424 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H9(114)<=>C5H7(174)+C6H10(116) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2425; RMG #2425 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2426; RMG #2426 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H7(174), C5H8(173); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(174)+C6H8(118)<=>C5H8(173)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2427; RMG #2427 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H7(174), C5H8(173); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(174)+C6H8(125)<=>C5H8(173)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2428; RMG #2428 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2429; RMG #2429 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(174)+C6H9(160)<=>C5H8(173)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2430; RMG #2430 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C5H8(173)<=>C3H5L(59)+C5H7(174) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2431; RMG #2431 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C5H8(173)<=>C4H8(157)+C5H7(174) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #2432; RMG #2432 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H8(173)+C6H9(160)<=>C5H7(174)+C6H10(116) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2433; RMG #2433 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C6H11L(107)<=>C5H8(173)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2434; RMG #2434 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H10R(171)<=>C5H7(174)+C6H11R(17) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #2435; RMG #2435 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H10R(171)<=>C5H7(174)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #2436; RMG #2436 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C10H20R(64)<=>C5H7(174)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2437; RMG #2437 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C10H20L(76)<=>C5H7(174)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2438; RMG #2438 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C8H16L(15)<=>C5H7(174)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #2439; RMG #2439 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(174), C5H8(173); [H][H](83), H(82); -! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -! Ea raised from 101.3 to 102.4 kJ/mol to match endothermicity of reaction. -! Ea raised from 102.4 to 102.4 kJ/mol to match endothermicity of reaction. -[H][H](83)+C5H7(174)<=>H(82)+C5H8(173) 1.212000e-01 4.340 24.463 - -! Reaction index: Chemkin #2440; RMG #2440 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C9H12L(175); C5H7(174), C9H12L(175); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C5H7(174)<=>C9H12L(175) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #2441; RMG #2441 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C8H12L(176); C5H7(174), C8H12L(176); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C5H7(174)<=>C8H12L(176) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2442; RMG #2442 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C9H14R(177); C5H7(174), C9H14R(177); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H7R(60)+C5H7(174)<=>C9H14R(177) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2443; RMG #2443 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C5H7(174), C5H7(178); -! Matched reaction 141 C5H7-3 <=> C5H7-4 in Intra_R_Add_Endocyclic/training -! This reaction matched rate rule [Backbone2_Sp-3R!H=1R!H_N-4R!H->S] -! family: Intra_R_Add_Endocyclic -C5H7(174)<=>C5H7(178) 1.026760e+11 0.557 37.541 - -! Reaction index: Chemkin #2444; RMG #2444 -! Library reaction: restart -! Flux pairs: C5H7(174), C10H14(179); C5H7(178), C10H14(179); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C5H7(178)<=>C10H14(179) 7.071720e+16 -1.003 0.000 - -! Reaction index: Chemkin #2445; RMG #2445 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H7(178), C5H8(180); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(65) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2446; RMG #2446 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C5H7(178), C5H8(180); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(69) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2447; RMG #2447 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(66)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2448; RMG #2448 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(68)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2449; RMG #2449 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C5H7(178), C5H8(180); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(72) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #2450; RMG #2450 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(73)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2451; RMG #2451 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(71)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2452; RMG #2452 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(67)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2453; RMG #2453 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C9H17LR(70)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2454; RMG #2454 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C10H20R(64)<=>C5H7(178)+RC10(2) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2455; RMG #2455 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C10H20L(76)<=>C5H7(178)+LC10(3) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2456; RMG #2456 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4R(78)+C5H8(180)<=>C3H5R(12)+C5H7(178) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2457; RMG #2457 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H8(180)<=>CC(C)L(13)+C5H7(178) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2458; RMG #2458 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C[CH]CC(C)L(7)<=>C5H7(178)+CCCC(C)L(16) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2459; RMG #2459 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H10R(171)<=>C5H7(178)+C6H11R(17) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2460; RMG #2460 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H6(18)+C5H7(178)<=>C3H5(102)+C5H8(180) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2461; RMG #2461 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H8(180)<=>CC(C)CR(20)+C5H7(178) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2462; RMG #2462 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]R(14)+C5H8(180)<=>CR(22)+C5H7(178) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2463; RMG #2463 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C7H14R(9)<=>C5H7(178)+CC(C)CC(C)CR(23) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2464; RMG #2464 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C5H8L(89)<=>C5H7(178)+C5H9L(24) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2465; RMG #2465 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H12L(11)<=>C5H7(178)+CC(C)CC(C)L(25) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2466; RMG #2466 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]L(8)+C5H8(180)<=>CCL(26)+C5H7(178) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2467; RMG #2467 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]CR(10)+C5H8(180)<=>CCCR(27)+C5H7(178) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2468; RMG #2468 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C[CH]CC(C)CR(5)<=>C5H7(178)+CCCC(C)CR(32) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2469; RMG #2469 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C8H16L(15)<=>C5H7(178)+C8H17L(49) 3.412000e-03 4.340 3.100 - -! Reaction index: Chemkin #2470; RMG #2470 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C6H11R(56)<=>C5H8(180)+C6H10R(90) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2471; RMG #2471 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H10R(171)<=>C5H7(178)+C6H11R(56) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2472; RMG #2472 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C5H9L(57)<=>C5H8(180)+C5H8L(77) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2473; RMG #2473 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C5H8L(89)<=>C5H7(178)+C5H9L(57) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2474; RMG #2474 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4R(78)+C5H8(180)<=>C3H5R(58)+C5H7(178) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2475; RMG #2475 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C3H4L(147)+C5H8(180)<=>C3H5L(59)+C5H7(178) 3.616000e-02 4.340 11.200 - -! Reaction index: Chemkin #2476; RMG #2476 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(79)+C5H8(180)<=>C4H7R(60)+C5H7(178) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2477; RMG #2477 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C8H15L(61)<=>C5H8(180)+C8H14L(112) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2478; RMG #2478 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C7H12R(108)<=>C5H7(178)+C7H13R(62) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2479; RMG #2479 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H10L(103)<=>C5H7(178)+C6H11L(63) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2480; RMG #2480 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C(75)+C5H7(178)<=>CH3(74)+C5H8(180) 8.480000e-02 4.340 24.900 - -! Reaction index: Chemkin #2481; RMG #2481 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(79)+C5H8(180)<=>C4H7R(81)+C5H7(178) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2482; RMG #2482 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C5H7(178)<=>H(82)+C5H8(180) 9.160000e-02 4.340 22.252 - -! Reaction index: Chemkin #2483; RMG #2483 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C5H8L(77)<=>C5H7(178)+C5H9L(84) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2484; RMG #2484 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C7H15(85)<=>C5H7(178)+CC(C)CC(C)C(87) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2485; RMG #2485 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -CCC(95)+C5H7(178)<=>C[CH]C(94)+C5H8(180) 2.952000e-02 4.340 18.000 - -! Reaction index: Chemkin #2486; RMG #2486 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H10R(90)<=>C5H7(178)+C6H11R(98) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2487; RMG #2487 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C6H11L(107)<=>C5H8(180)+C6H10L(169) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2488; RMG #2488 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H10L(103)<=>C5H7(178)+C6H11L(107) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2489; RMG #2489 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C5H7(178), C5H8(180); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H7(178)+C6H10(110)<=>C5H8(180)+C6H9(113) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2490; RMG #2490 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C5H8(180)+C6H9(160)<=>C5H7(178)+C6H10(116) 1.832000e-02 4.340 11.700 - -! Reaction index: Chemkin #2491; RMG #2491 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C6H9(114)<=>C5H7(178)+C6H10(116) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #2492; RMG #2492 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H7(178), C5H8(180); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C6H8(118)<=>C5H8(180)+C6H7(123) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2493; RMG #2493 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C7H12R(108)<=>C5H7(178)+C7H13R(120) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #2494; RMG #2494 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H7(178), C5H8(180); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C6H8(125)<=>C5H8(180)+C6H7(123) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2495; RMG #2495 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C4H7(156)+C5H8(180)<=>C4H8(157)+C5H7(178) 3.616000e-02 4.340 11.200 - -! Reaction index: Chemkin #2496; RMG #2496 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H8(180); C5H7(178), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H7(178)+C5H8(173)<=>C5H7(174)+C5H8(180) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #2497; RMG #2497 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C5H7(178)<=>C3H5R(58)+C5H8(180) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2498; RMG #2498 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C5H7(178)<=>C3H5R(12)+C5H8(180) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2499; RMG #2499 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C5H7(178)<=>C2H3L(19)+C5H8(180) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2500; RMG #2500 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2501; RMG #2501 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2502; RMG #2502 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(178)+C6H9(160)<=>C5H8(180)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2503; RMG #2503 -! Library reaction: restart -! Flux pairs: H(82), C5H8(180); C5H7(178), C5H8(180); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C5H7(178)<=>C5H8(180) 3.152860e+13 -0.222 0.000 - -! Reaction index: Chemkin #2504; RMG #2504 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C[CH]CC(C)CR(5)<=>C5H8(180)+C6H11R(17) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2505; RMG #2505 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C5H7(178)<=>C3H6(18)+C5H8(180) 4.903420e+27 -4.376 7.519 - -! Reaction index: Chemkin #2506; RMG #2506 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C8H16L(15)<=>C5H8(180)+C8H15L(21) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2507; RMG #2507 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C[CH]CC(C)L(7)<=>C5H8(180)+C5H9L(24) 2.451710e+27 -4.376 7.433 - -! Reaction index: Chemkin #2508; RMG #2508 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C[CH]CC(C)CR(5)<=>C5H8(180)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2509; RMG #2509 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C[CH]CC(C)L(7)<=>C5H8(180)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2510; RMG #2510 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C5H7(178)<=>C3H5L(59)+C5H8(180) 1.051630e+14 -0.550 0.110 - -! Reaction index: Chemkin #2511; RMG #2511 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C5H7(178)<=>C4H7R(60)+C5H8(180) 1.051630e+14 -0.550 0.110 - -! Reaction index: Chemkin #2512; RMG #2512 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C8H16L(15)<=>C5H8(180)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2513; RMG #2513 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C7H14R(9)<=>C5H8(180)+C7H13R(62) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #2514; RMG #2514 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C6H12L(11)<=>C5H8(180)+C6H11L(63) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #2515; RMG #2515 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C11H17(181); C6H10(110), C11H17(181); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C6H10(110)<=>C11H17(181) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #2516; RMG #2516 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C10H14L(182); C5H7(174), C10H14L(182); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C5H7(174)<=>C10H14L(182) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #2517; RMG #2517 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C10H15(183); C5H8(173), C10H15(183); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C5H8(173)<=>C10H15(183) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #2518; RMG #2518 -! Library reaction: restart -! Flux pairs: C5H7(174), C10H14(184); C5H7(174), C10H14(184); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C5H7(174)<=>C10H14(184) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #2519; RMG #2519 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C10H15(183); C10H14(184), C10H15(183); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -H(82)+C10H14(184)<=>C10H15(183) 4.620000e+08 1.640 -0.470 - -! Reaction index: Chemkin #2520; RMG #2520 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #2521; RMG #2521 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #2522; RMG #2522 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2523; RMG #2523 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2524; RMG #2524 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #2525; RMG #2525 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2526; RMG #2526 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2527; RMG #2527 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2528; RMG #2528 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2529; RMG #2529 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C10H20R(64)<=>C10H14(184)+RC10(2) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2530; RMG #2530 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C10H20L(76)<=>C10H14(184)+LC10(3) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2531; RMG #2531 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C10H15(183)<=>C3H5R(12)+C10H14(184) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #2532; RMG #2532 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C10H15(183)<=>CC(C)L(13)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2533; RMG #2533 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H15(183)<=>CCCC(C)L(16)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2534; RMG #2534 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C10H15(183)<=>C6H11R(17)+C10H14(184) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #2535; RMG #2535 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C10H15(183)<=>C3H6(18)+C10H14(184) 2.451710e+27 -4.376 8.460 - -! Reaction index: Chemkin #2536; RMG #2536 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C10H15(183)<=>CC(C)CR(20)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2537; RMG #2537 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C10H15(183)<=>CR(22)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2538; RMG #2538 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C10H15(183)<=>CC(C)CC(C)CR(23)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2539; RMG #2539 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C10H15(183)<=>C5H9L(24)+C10H14(184) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #2540; RMG #2540 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C10H15(183)<=>CC(C)CC(C)L(25)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2541; RMG #2541 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H15(183)<=>CCL(26)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2542; RMG #2542 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H15(183)<=>CCCR(27)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2543; RMG #2543 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H15(183)<=>CCCC(C)CR(32)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2544; RMG #2544 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H15(183)<=>C6H11R(56)+C10H14(184) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #2545; RMG #2545 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C10H15(183)<=>C6H11R(56)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2546; RMG #2546 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H15(183)<=>C5H9L(57)+C10H14(184) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #2547; RMG #2547 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C10H15(183)<=>C5H9L(57)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2548; RMG #2548 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C10H15(183)<=>C3H5R(58)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2549; RMG #2549 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C10H15(183)<=>C3H5L(59)+C10H14(184) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #2550; RMG #2550 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C10H15(183)<=>C4H7R(60)+C10H14(184) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #2551; RMG #2551 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C10H15(183)<=>C8H15L(61)+C10H14(184) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #2552; RMG #2552 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C10H15(183)<=>C7H13R(62)+C10H14(184) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #2553; RMG #2553 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C10H15(183)<=>C6H11L(63)+C10H14(184) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #2554; RMG #2554 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C10H15(183)<=>C(75)+C10H14(184) 1.225850e+27 -4.376 4.703 - -! Reaction index: Chemkin #2555; RMG #2555 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C10H15(183)<=>C4H7R(81)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2556; RMG #2556 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C10H15(183)<=>[H][H](83)+C10H14(184) 1.225850e+27 -4.376 4.864 - -! Reaction index: Chemkin #2557; RMG #2557 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H15(183)<=>C5H9L(84)+C10H14(184) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #2558; RMG #2558 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C10H15(183)<=>CC(C)CC(C)C(87)+C10H14(184) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #2559; RMG #2559 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C10H15(183)<=>CCC(95)+C10H14(184) 1.225850e+27 -4.376 5.985 - -! Reaction index: Chemkin #2560; RMG #2560 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H15(183)<=>C6H11R(98)+C10H14(184) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #2561; RMG #2561 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C10H15(183)<=>C6H11L(107)+C10H14(184) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #2562; RMG #2562 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C10H15(183)<=>C6H11L(107)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2563; RMG #2563 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C10H15(183)<=>C6H10(110)+C10H14(184) 1.225850e+27 -4.376 10.849 - -! Reaction index: Chemkin #2564; RMG #2564 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C10H15(183)<=>C6H10(116)+C10H14(184) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #2565; RMG #2565 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C10H15(183)<=>C6H10(116)+C10H14(184) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #2566; RMG #2566 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C10H15(183)<=>C6H8(118)+C10H14(184) 2.451710e+27 -4.376 9.335 - -! Reaction index: Chemkin #2567; RMG #2567 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C10H15(183)<=>C7H13R(120)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #2568; RMG #2568 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C10H15(183)<=>C6H8(125)+C10H14(184) 2.451710e+27 -4.376 9.433 - -! Reaction index: Chemkin #2569; RMG #2569 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C10H15(183)<=>C4H8(157)+C10H14(184) 2.451710e+27 -4.376 8.079 - -! Reaction index: Chemkin #2570; RMG #2570 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C10H15(183)<=>C5H8(173)+C10H14(184) 2.451710e+27 -4.376 10.743 - -! Reaction index: Chemkin #2571; RMG #2571 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C10H15(183)<=>C5H8(180)+C10H14(184) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #2572; RMG #2572 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H15(183)<=>C8H17L(49)+C10H14(184) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #2573; RMG #2573 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C9H12L(185); C5H7(174), C9H12L(185); -! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C5H7(174)<=>C9H12L(185) 2.380000e+04 2.410 10.290 - -! Reaction index: Chemkin #2574; RMG #2574 -! Library reaction: restart -! Flux pairs: C5H7(178), C10H14(186); C5H7(178), C10H14(186); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C5H7(178)<=>C10H14(186) 1.000000e+14 -0.000 0.000 - -! Reaction index: Chemkin #2575; RMG #2575 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C5H7(178); C5H6(187), C5H7(178); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -H(82)+C5H6(187)<=>C5H7(178) 3.300000e+09 1.480 0.900 - -! Reaction index: Chemkin #2576; RMG #2576 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C5H7(178)<=>CCCR(27)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2577; RMG #2577 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]L(8)+C5H7(178)<=>CCL(26)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2578; RMG #2578 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H8L(77)<=>C5H6(187)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2579; RMG #2579 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H8L(77)<=>C5H6(187)+C5H9L(84) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2580; RMG #2580 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4R(78)+C5H7(178)<=>C3H5R(12)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2581; RMG #2581 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4R(78)+C5H7(178)<=>C3H5R(58)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2582; RMG #2582 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(79)+C5H7(178)<=>C4H7R(60)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2583; RMG #2583 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(79)+C5H7(178)<=>C4H7R(81)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2584; RMG #2584 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10R(90)<=>C5H6(187)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2585; RMG #2585 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10R(90)<=>C5H6(187)+C6H11R(98) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2586; RMG #2586 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C3H5(102)+C5H7(178)<=>C3H6(18)+C5H6(187) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2587; RMG #2587 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H9(113)<=>C5H6(187)+C6H10(110) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2588; RMG #2588 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H9(114)<=>C5H6(187)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2589; RMG #2589 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(178)+C6H7(123)<=>C5H6(187)+C6H8(118) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2590; RMG #2590 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(178)+C6H7(123)<=>C5H6(187)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2591; RMG #2591 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C3H4L(147)+C5H7(178)<=>C3H5L(59)+C5H6(187) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2592; RMG #2592 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C4H7(156)+C5H7(178)<=>C4H8(157)+C5H6(187) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2593; RMG #2593 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(178)+C6H9(160)<=>C5H6(187)+C6H10(116) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2594; RMG #2594 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(173); C5H7(174), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(174)+C5H7(178)<=>C5H6(187)+C5H8(173) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2595; RMG #2595 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C5H7(178)+C5H7(178)<=>C5H6(187)+C5H8(180) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #2596; RMG #2596 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H8L(89)<=>C5H6(187)+C5H9L(24) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2597; RMG #2597 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H8L(89)<=>C5H6(187)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2598; RMG #2598 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10L(103)<=>C5H6(187)+C6H11L(63) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2599; RMG #2599 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10L(103)<=>C5H6(187)+C6H11L(107) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2600; RMG #2600 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H12R(108)<=>C5H6(187)+C7H13R(62) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2601; RMG #2601 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H12R(108)<=>C5H6(187)+C7H13R(120) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2602; RMG #2602 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10L(169)<=>C5H6(187)+C6H11L(107) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2603; RMG #2603 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(65)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2604; RMG #2604 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(69)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2605; RMG #2605 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(66)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2606; RMG #2606 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(68)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2607; RMG #2607 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(72)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2608; RMG #2608 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(73)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2609; RMG #2609 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(71)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2610; RMG #2610 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(67)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2611; RMG #2611 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H17LR(70)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2612; RMG #2612 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H20R(64)<=>C5H6(187)+RC10(2) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2613; RMG #2613 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H20L(76)<=>C5H6(187)+LC10(3) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2614; RMG #2614 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)L(4)+C5H7(178)<=>CC(C)L(13)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2615; RMG #2615 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C[CH]CC(C)L(7)<=>C5H6(187)+CCCC(C)L(16) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2616; RMG #2616 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10R(171)<=>C5H6(187)+C6H11R(17) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2617; RMG #2617 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)CR(6)+C5H7(178)<=>CC(C)CR(20)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2618; RMG #2618 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]R(14)+C5H7(178)<=>CR(22)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2619; RMG #2619 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H14R(9)<=>C5H6(187)+CC(C)CC(C)CR(23) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2620; RMG #2620 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H12L(11)<=>C5H6(187)+CC(C)CC(C)L(25) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2621; RMG #2621 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C[CH]CC(C)CR(5)<=>C5H6(187)+CCCC(C)CR(32) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2622; RMG #2622 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C8H16L(15)<=>C5H6(187)+C8H17L(49) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2623; RMG #2623 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10R(171)<=>C5H6(187)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2624; RMG #2624 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C8H14L(112)<=>C5H6(187)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2625; RMG #2625 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C5H7(178)<=>C(75)+C5H6(187) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #2626; RMG #2626 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 4.0 -CH3(74)+C5H7(178)<=>C(75)+C5H6(187) 1.824940e+13 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #2627; RMG #2627 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 4.0 -H(82)+C5H7(178)<=>[H][H](83)+C5H6(187) 2.383380e+10 0.568 0.000 - -! Reaction index: Chemkin #2628; RMG #2628 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H15(85)<=>C5H6(187)+CC(C)CC(C)C(87) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2629; RMG #2629 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]C(94)+C5H7(178)<=>CCC(95)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2630; RMG #2630 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C11H18L(188); C6H11L(63), C11H18L(188); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C6H11L(63)<=>C11H18L(188) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2631; RMG #2631 -! Template reaction: R_Recombination -! Flux pairs: H(82), C5H6(187); C5H5(189), C5H6(187); -! Matched reaction 134 C5H5 + H <=> C5H6 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H] -! family: R_Recombination -H(82)+C5H5(189)<=>C5H6(187) 2.500000e+15 0.000 0.000 - -! Reaction index: Chemkin #2632; RMG #2632 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C5H6(187)<=>CC(C)CR(20)+C5H5(189) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2633; RMG #2633 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C5H6(187)<=>CCCR(27)+C5H5(189) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2634; RMG #2634 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C5H6(187)<=>CC(C)L(13)+C5H5(189) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2635; RMG #2635 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C5H6(187)<=>CCL(26)+C5H5(189) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2636; RMG #2636 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H12L(11)<=>C5H5(189)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2637; RMG #2637 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C[CH]CR(10)+C5H5(189)<=>C3H5R(12)+C5H6(187) 6.129270e+27 -4.376 7.003 - -! Reaction index: Chemkin #2638; RMG #2638 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C5H6(187)<=>CR(22)+C5H5(189) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2639; RMG #2639 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C[CH]CC(C)CR(5)<=>C5H6(187)+C6H11R(17) 6.129270e+27 -4.376 6.818 - -! Reaction index: Chemkin #2640; RMG #2640 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 30.0 -C[CH]C(94)+C5H5(189)<=>C3H6(18)+C5H6(187) 1.225850e+28 -4.376 6.900 - -! Reaction index: Chemkin #2641; RMG #2641 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C[CH]L(8)+C5H5(189)<=>C2H3L(19)+C5H6(187) 6.129270e+27 -4.376 7.003 - -! Reaction index: Chemkin #2642; RMG #2642 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C8H16L(15)<=>C5H6(187)+C8H15L(21) 6.129270e+27 -4.376 6.818 - -! Reaction index: Chemkin #2643; RMG #2643 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C[CH]CC(C)L(7)<=>C5H6(187)+C5H9L(24) 6.129270e+27 -4.376 6.818 - -! Reaction index: Chemkin #2644; RMG #2644 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C[CH]CC(C)CR(5)<=>C5H6(187)+C6H11R(56) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2645; RMG #2645 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C[CH]CC(C)L(7)<=>C5H6(187)+C5H9L(57) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2646; RMG #2646 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C[CH]CR(10)+C5H5(189)<=>C3H5R(58)+C5H6(187) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2647; RMG #2647 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -[CH2]C(C)L(4)+C5H5(189)<=>C3H5L(59)+C5H6(187) 2.629070e+14 -0.550 0.000 - -! Reaction index: Chemkin #2648; RMG #2648 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -[CH2]C(C)CR(6)+C5H5(189)<=>C4H7R(60)+C5H6(187) 2.629070e+14 -0.550 0.000 - -! Reaction index: Chemkin #2649; RMG #2649 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C8H16L(15)<=>C5H6(187)+C8H15L(61) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2650; RMG #2650 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C7H14R(9)<=>C5H6(187)+C7H13R(62) 2.629070e+14 -0.550 0.000 - -! Reaction index: Chemkin #2651; RMG #2651 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C6H12L(11)<=>C5H6(187)+C6H11L(63) 2.629070e+14 -0.550 0.000 - -! Reaction index: Chemkin #2652; RMG #2652 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(67)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2653; RMG #2653 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); CH3(74), C(75); -! From training reaction 1126 used for C/H2/CdCd;C_methyl -! Exact match found for rate rule [C/H2/CdCd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+C5H6(187)<=>C(75)+C5H5(189) 2.120000e-02 4.340 1.700 - -! Reaction index: Chemkin #2654; RMG #2654 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C5H9L(57)<=>C5H6(187)+C5H8L(77) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #2655; RMG #2655 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C5H8L(77)<=>C5H5(189)+C5H9L(84) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2656; RMG #2656 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C3H4R(78), C3H5R(12); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C5H6(187)<=>C3H5R(12)+C5H5(189) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2657; RMG #2657 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C3H4R(78), C3H5R(58); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C5H6(187)<=>C3H5R(58)+C5H5(189) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2658; RMG #2658 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C4H6R(79), C4H7R(60); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C5H6(187)<=>C4H7R(60)+C5H5(189) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2659; RMG #2659 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C5H6(187)<=>C4H7R(81)+C5H5(189) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2660; RMG #2660 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C5H8L(89)<=>C5H5(189)+C5H9L(24) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2661; RMG #2661 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C5H8L(89)<=>C5H5(189)+C5H9L(57) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2662; RMG #2662 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C6H11R(56)<=>C5H6(187)+C6H10R(90) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #2663; RMG #2663 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H10R(90)<=>C5H5(189)+C6H11R(98) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2664; RMG #2664 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C[CH]C(94), CCC(95); -! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+C5H6(187)<=>CCC(95)+C5H5(189) 2.320000e-03 4.340 -0.400 - -! Reaction index: Chemkin #2665; RMG #2665 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C3H5(102), C3H6(18); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H5(102)+C5H6(187)<=>C3H6(18)+C5H5(189) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2666; RMG #2666 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H10L(103)<=>C5H5(189)+C6H11L(63) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2667; RMG #2667 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H10L(103)<=>C5H5(189)+C6H11L(107) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2668; RMG #2668 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C7H12R(108)<=>C5H5(189)+C7H13R(62) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2669; RMG #2669 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C7H12R(108)<=>C5H5(189)+C7H13R(120) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2670; RMG #2670 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H9(113)<=>C5H5(189)+C6H10(110) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2671; RMG #2671 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H9(114)<=>C5H5(189)+C6H10(116) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2672; RMG #2672 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(118) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2673; RMG #2673 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(125) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2674; RMG #2674 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 20.0 -C5H5(189)+C6H9(160)<=>C5H6(187)+C6H8(125) 1.547940e+13 0.025 0.000 - -! Reaction index: Chemkin #2675; RMG #2675 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C5H6(187)<=>C3H5L(59)+C5H5(189) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2676; RMG #2676 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C5H6(187)<=>C4H8(157)+C5H5(189) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2677; RMG #2677 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H6(187)+C6H9(160)<=>C5H5(189)+C6H10(116) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2678; RMG #2678 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C6H11L(107)<=>C5H6(187)+C6H10L(169) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #2679; RMG #2679 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H10R(171)<=>C5H5(189)+C6H11R(17) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #2680; RMG #2680 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H10R(171)<=>C5H5(189)+C6H11R(56) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #2681; RMG #2681 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(174), C5H8(173); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H6(187)+C5H7(174)<=>C5H5(189)+C5H8(173) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #2682; RMG #2682 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H6(187)+C5H7(178)<=>C5H5(189)+C5H8(180) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #2683; RMG #2683 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C10H15(183)<=>C5H6(187)+C10H14(184) 6.129270e+27 -4.376 9.315 - -! Reaction index: Chemkin #2684; RMG #2684 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 20.0 -C5H5(189)+C5H7(178)<=>C5H6(187)+C5H6(187) 1.547940e+13 0.025 0.000 - -! Reaction index: Chemkin #2685; RMG #2685 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C[CH]CC(C)CR(5)<=>C5H5(189)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2686; RMG #2686 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C7H14R(9)<=>C5H5(189)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2687; RMG #2687 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C[CH]CC(C)L(7)<=>C5H5(189)+CCCC(C)L(16) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2688; RMG #2688 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C5H6(187), C5H5(189); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(65)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #2689; RMG #2689 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(66)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2690; RMG #2690 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(68)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2691; RMG #2691 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C5H6(187), C5H5(189); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(69)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #2692; RMG #2692 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(70)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2693; RMG #2693 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(71)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2694; RMG #2694 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C5H6(187), C5H5(189); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(72)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #2695; RMG #2695 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C9H17LR(73)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2696; RMG #2696 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C7H15(85)<=>C5H5(189)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2697; RMG #2697 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C8H15L(61)<=>C5H6(187)+C8H14L(112) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #2698; RMG #2698 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(123), C6H8(118); C5H6(187), C5H5(189); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H6(187)+C6H7(123)<=>C5H5(189)+C6H8(118) 1.564000e-03 4.340 8.900 - -! Reaction index: Chemkin #2699; RMG #2699 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(123), C6H8(125); C5H6(187), C5H5(189); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H6(187)+C6H7(123)<=>C5H5(189)+C6H8(125) 1.564000e-03 4.340 8.900 - -! Reaction index: Chemkin #2700; RMG #2700 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C10H20R(64)<=>C5H5(189)+RC10(2) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2701; RMG #2701 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C10H20L(76)<=>C5H5(189)+LC10(3) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2702; RMG #2702 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C8H16L(15)<=>C5H5(189)+C8H17L(49) 8.355200e-04 4.260 5.620 - -! Reaction index: Chemkin #2703; RMG #2703 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); H(82), [H][H](83); -! From training reaction 1125 used for C/H2/CdCd;H_rad -! Exact match found for rate rule [C/H2/CdCd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+C5H6(187)<=>[H][H](83)+C5H5(189) 8.940000e-01 4.340 -0.400 - -! Reaction index: Chemkin #2704; RMG #2704 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7(156), C9H14L(190); C5H7L(104), C9H14L(190); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H7(156)+C5H7L(104)<=>C9H14L(190) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #2705; RMG #2705 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C8H13(191); C5H7(174), C8H13(191); -! From training reaction 4 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H6(18)+C5H7(174)<=>C8H13(191) 1.560000e+03 2.530 11.000 - -! Reaction index: Chemkin #2706; RMG #2706 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C12H20R(192); C7H13R(62), C12H20R(192); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C7H13R(62)<=>C12H20R(192) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #2707; RMG #2707 -! Library reaction: restart -! Flux pairs: CH3(74), C8H15L(61); C7H12L(193), C8H15L(61); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C7H12L(193)<=>C8H15L(61) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #2708; RMG #2708 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C7H12L(193); C5H8(173), C7H12L(193); -! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C5H8(173)<=>C7H12L(193) 1.920000e+03 2.410 0.760 - -! Reaction index: Chemkin #2709; RMG #2709 -! Library reaction: restart -! Flux pairs: C3H5(102), C8H12(194); C5H7(174), C8H12(194); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C5H7(174)<=>C8H12(194) 1.392520e+14 -0.158 0.000 - -! Reaction index: Chemkin #2710; RMG #2710 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C8H13(191); C8H12(194), C8H13(191); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C8H12(194)<=>C8H13(191) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #2711; RMG #2711 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(65)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #2712; RMG #2712 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(69)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #2713; RMG #2713 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(66)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2714; RMG #2714 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(68)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2715; RMG #2715 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(72)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #2716; RMG #2716 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(73)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2717; RMG #2717 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(71)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2718; RMG #2718 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(67)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2719; RMG #2719 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C9H17LR(70)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2720; RMG #2720 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C10H20R(64)<=>C8H12(194)+RC10(2) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2721; RMG #2721 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C10H20L(76)<=>C8H12(194)+LC10(3) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2722; RMG #2722 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C8H13(191)<=>CC(C)L(13)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2723; RMG #2723 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C8H13(191)<=>C3H6(18)+C8H12(194) 2.451710e+27 -4.376 6.289 - -! Reaction index: Chemkin #2724; RMG #2724 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C8H13(191)<=>CC(C)CR(20)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2725; RMG #2725 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C8H13(191)<=>CC(C)CC(C)L(25)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2726; RMG #2726 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C8H13(191)<=>CCL(26)+C8H12(194) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2727; RMG #2727 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C8H13(191)<=>CCCR(27)+C8H12(194) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2728; RMG #2728 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H13(191)<=>C6H11R(56)+C8H12(194) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2729; RMG #2729 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C8H13(191)<=>C6H11R(56)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2730; RMG #2730 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H13(191)<=>C5H9L(57)+C8H12(194) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2731; RMG #2731 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C8H13(191)<=>C5H9L(57)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2732; RMG #2732 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C8H13(191)<=>C3H5R(58)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2733; RMG #2733 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C8H13(191)<=>C3H5L(59)+C8H12(194) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #2734; RMG #2734 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C8H13(191)<=>C4H7R(60)+C8H12(194) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #2735; RMG #2735 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C8H13(191)<=>C3H5R(12)+C8H12(194) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #2736; RMG #2736 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C8H13(191)<=>CCCC(C)L(16)+C8H12(194) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2737; RMG #2737 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C8H13(191)<=>C6H11R(17)+C8H12(194) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2738; RMG #2738 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C8H13(191)<=>CR(22)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2739; RMG #2739 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C8H13(191)<=>CC(C)CC(C)CR(23)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2740; RMG #2740 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C8H13(191)<=>C5H9L(24)+C8H12(194) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2741; RMG #2741 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C8H13(191)<=>CCCC(C)CR(32)+C8H12(194) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2742; RMG #2742 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C8H16L(15)<=>C8H12(194)+C8H17L(49) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #2743; RMG #2743 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C8H14L(112)<=>C8H12(194)+C8H15L(61) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2744; RMG #2744 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C8H13(191)<=>C7H13R(62)+C8H12(194) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2745; RMG #2745 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C8H13(191)<=>C6H11L(63)+C8H12(194) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #2746; RMG #2746 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C8H13(191)<=>C(75)+C8H12(194) 1.225850e+27 -4.376 3.228 - -! Reaction index: Chemkin #2747; RMG #2747 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C8H13(191)<=>C4H7R(81)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2748; RMG #2748 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C8H13(191)<=>[H][H](83)+C8H12(194) 1.225850e+27 -4.376 3.356 - -! Reaction index: Chemkin #2749; RMG #2749 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H13(191)<=>C5H9L(84)+C8H12(194) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #2750; RMG #2750 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C8H13(191)<=>CC(C)CC(C)C(87)+C8H12(194) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #2751; RMG #2751 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C8H13(191)<=>CCC(95)+C8H12(194) 1.225850e+27 -4.376 4.256 - -! Reaction index: Chemkin #2752; RMG #2752 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H13(191)<=>C6H11R(98)+C8H12(194) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #2753; RMG #2753 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C8H13(191)<=>C6H11L(107)+C8H12(194) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2754; RMG #2754 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C8H13(191)<=>C6H11L(107)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2755; RMG #2755 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C8H13(191)<=>C6H10(110)+C8H12(194) 1.225850e+27 -4.376 8.296 - -! Reaction index: Chemkin #2756; RMG #2756 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C8H13(191)<=>C6H10(116)+C8H12(194) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2757; RMG #2757 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C8H13(191)<=>C6H10(116)+C8H12(194) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #2758; RMG #2758 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C8H13(191)<=>C6H8(118)+C8H12(194) 2.451710e+27 -4.376 7.020 - -! Reaction index: Chemkin #2759; RMG #2759 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C8H13(191)<=>C7H13R(120)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #2760; RMG #2760 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C8H13(191)<=>C6H8(125)+C8H12(194) 2.451710e+27 -4.376 7.102 - -! Reaction index: Chemkin #2761; RMG #2761 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C8H13(191)<=>C4H8(157)+C8H12(194) 2.451710e+27 -4.376 5.972 - -! Reaction index: Chemkin #2762; RMG #2762 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C8H13(191)<=>C5H8(173)+C8H12(194) 2.451710e+27 -4.376 8.206 - -! Reaction index: Chemkin #2763; RMG #2763 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C8H13(191)<=>C5H8(180)+C8H12(194) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #2764; RMG #2764 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C8H13(191)<=>C5H6(187)+C8H12(194) 6.129270e+27 -4.376 7.003 - -! Reaction index: Chemkin #2765; RMG #2765 -! Library reaction: restart -! Flux pairs: C[CH]L(8), CCCC(C)L(16); [CH2]CC(195), CCCC(C)L(16); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+[CH2]CC(195)<=>CCCC(C)L(16) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #2766; RMG #2766 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(65)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2767; RMG #2767 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(69)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2768; RMG #2768 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(66)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2769; RMG #2769 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(68)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2770; RMG #2770 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(72)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2771; RMG #2771 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(73)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2772; RMG #2772 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(71)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2773; RMG #2773 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(67)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2774; RMG #2774 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H17LR(70)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2775; RMG #2775 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H20R(64)<=>C3H6(18)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2776; RMG #2776 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H20L(76)<=>C3H6(18)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2777; RMG #2777 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+[CH2]CC(195)<=>C3H5R(12)+C3H6(18) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2778; RMG #2778 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CC(C)L(13); [CH2]C(C)L(4), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+[CH2]CC(195)<=>C3H6(18)+CC(C)L(13) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2779; RMG #2779 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C[CH]CC(C)L(7)<=>C3H6(18)+CCCC(C)L(16) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2780; RMG #2780 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10R(171)<=>C3H6(18)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2781; RMG #2781 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), C3H6(18); C3H5(102), C3H6(18); -! Matched reaction 23 C3H5 + C3H7-2 <=> C3H6 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C] -! family: Disproportionation -C3H5(102)+[CH2]CC(195)<=>C3H6(18)+C3H6(18) 5.800000e+12 0.000 -0.130 - -! Reaction index: Chemkin #2782; RMG #2782 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+[CH2]C(C)CR(6)<=>C3H6(18)+CC(C)CR(20) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2783; RMG #2783 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+[CH2]CC(195)<=>CR(22)+C3H6(18) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2784; RMG #2784 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H14R(9)<=>C3H6(18)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2785; RMG #2785 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H8L(89)<=>C3H6(18)+C5H9L(24) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2786; RMG #2786 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H12L(11)<=>C3H6(18)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2787; RMG #2787 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+[CH2]CC(195)<=>CCL(26)+C3H6(18) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2788; RMG #2788 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCCR(27); C[CH]CR(10), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+[CH2]CC(195)<=>C3H6(18)+CCCR(27) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2789; RMG #2789 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), CCCC(C)CR(32); [CH2]CC(195), CCCC(C)CR(32); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+[CH2]CC(195)<=>CCCC(C)CR(32) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #2790; RMG #2790 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C[CH]CC(C)CR(5)<=>C3H6(18)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2791; RMG #2791 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C8H17L(49); C[CH]CC(C)L(7), C8H17L(49); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]CC(195)+C[CH]CC(C)L(7)<=>C8H17L(49) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #2792; RMG #2792 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C8H16L(15)<=>C3H6(18)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2793; RMG #2793 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10R(90)<=>C3H6(18)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2794; RMG #2794 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10R(171)<=>C3H6(18)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2795; RMG #2795 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H8L(77)<=>C3H6(18)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2796; RMG #2796 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H8L(89)<=>C3H6(18)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2797; RMG #2797 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+[CH2]CC(195)<=>C3H5R(58)+C3H6(18) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2798; RMG #2798 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+[CH2]CC(195)<=>C3H5L(59)+C3H6(18) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2799; RMG #2799 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(60); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C4H6R(79)<=>C3H6(18)+C4H7R(60) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2800; RMG #2800 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C8H14L(112)<=>C3H6(18)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2801; RMG #2801 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H12R(108)<=>C3H6(18)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2802; RMG #2802 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10L(103)<=>C3H6(18)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2803; RMG #2803 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), C3H6(18); CH3(74), C(75); -! Matched reaction 20 CH3_r1 + C3H7-2 <=> CH4 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1] -! family: Disproportionation -CH3(74)+[CH2]CC(195)<=>C(75)+C3H6(18) 2.300000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #2804; RMG #2804 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), C3H6(18); CH3(74), C(75); -! Matched reaction 20 CH3_r1 + C3H7-2 <=> CH4 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C] -! family: Disproportionation -CH3(74)+[CH2]CC(195)<=>C(75)+C3H6(18) 2.300000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #2805; RMG #2805 -! Library reaction: restart -! Flux pairs: C4H6R(79), C4H7R(81); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C4H6R(79)<=>C3H6(18)+C4H7R(81) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2806; RMG #2806 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: [CH2]CC(195), H(82); [CH2]CC(195), C3H6(18); -! Matched reaction 2920 C3H7-4 <=> propene_2 + H in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-CsH_Cds-HH;HJ] -! family: R_Addition_MultipleBond -[CH2]CC(195)<=>H(82)+C3H6(18) 9.950000e+30 -5.300 43.000 - -! Reaction index: Chemkin #2807; RMG #2807 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), C3H6(18); H(82), [H][H](83); -! Matched reaction 18 H + C3H7-2 <=> H2 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H] -! family: Disproportionation -H(82)+[CH2]CC(195)<=>[H][H](83)+C3H6(18) 3.620000e+12 0.000 0.000 - -! Reaction index: Chemkin #2808; RMG #2808 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H8L(77)<=>C3H6(18)+C5H9L(84) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2809; RMG #2809 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H15(85)<=>C3H6(18)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2810; RMG #2810 -! Library reaction: restart -! Flux pairs: H(82), CCC(95); [CH2]CC(195), CCC(95); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+[CH2]CC(195)<=>CCC(95) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #2811; RMG #2811 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+CC(C)CR(20)<=>CCC(95)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #2812; RMG #2812 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+[CH2]CC(195)<=>C[CH]CR(10)+CCC(95) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2813; RMG #2813 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+CCCC(C)CR(32)<=>CCC(95)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2814; RMG #2814 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); CC(C)L(13), [CH2]C(C)L(4); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)L(13)+[CH2]CC(195)<=>[CH2]C(C)L(4)+CCC(95) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #2815; RMG #2815 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+CC(C)CC(C)CR(23)<=>CCC(95)+C7H14R(9) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #2816; RMG #2816 -! Template reaction: H_Abstraction -! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+CCCC(C)L(16)<=>CCC(95)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2817; RMG #2817 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+[CH2]CC(195)<=>C[CH]L(8)+CCC(95) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2818; RMG #2818 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+CC(C)CC(C)L(25)<=>CCC(95)+C6H12L(11) 3.260600e-04 4.810 8.490 - -! Reaction index: Chemkin #2819; RMG #2819 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCC(95); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+[CH2]CC(195)<=>C3H5R(12)+CCC(95) 1.225850e+27 -4.376 3.758 - -! Reaction index: Chemkin #2820; RMG #2820 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); CR(22), [CH2]R(14); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\H2\Cs;C_rad/H2/Cs] -! Euclidian distance = 2.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CR(22)+[CH2]CC(195)<=>[CH2]R(14)+CCC(95) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #2821; RMG #2821 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(17) 1.225850e+27 -4.376 3.633 - -! Reaction index: Chemkin #2822; RMG #2822 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), CCC(95); C[CH]C(94), C3H6(18); -! Matched reaction 27 C3H7-2 + C3H7 <=> C3H8 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C] -! family: Disproportionation -C[CH]C(94)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 5.130000e+13 -0.350 0.000 -DUPLICATE - -! Reaction index: Chemkin #2823; RMG #2823 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCC(95); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2824; RMG #2824 -! Template reaction: Disproportionation -! Flux pairs: [CH2]CC(195), CCC(95); C[CH]C(94), C3H6(18); -! Matched reaction 27 C3H7-2 + C3H7 <=> C3H8 + C3H6-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-2R!H-R_2R!H->C] -! family: Disproportionation -C[CH]C(94)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 5.130000e+13 -0.350 0.000 -DUPLICATE - -! Reaction index: Chemkin #2825; RMG #2825 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCC(95); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+[CH2]CC(195)<=>C2H3L(19)+CCC(95) 1.225850e+27 -4.376 3.758 - -! Reaction index: Chemkin #2826; RMG #2826 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C8H16L(15)<=>CCC(95)+C8H15L(21) 1.225850e+27 -4.376 3.633 - -! Reaction index: Chemkin #2827; RMG #2827 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(24) 1.225850e+27 -4.376 3.633 - -! Reaction index: Chemkin #2828; RMG #2828 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2829; RMG #2829 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2830; RMG #2830 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCC(95); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+[CH2]CC(195)<=>C3H5R(58)+CCC(95) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2831; RMG #2831 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), CCC(95); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]CC(195)<=>C3H5L(59)+CCC(95) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2832; RMG #2832 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+[CH2]C(C)CR(6)<=>CCC(95)+C4H7R(60) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2833; RMG #2833 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C8H16L(15)<=>CCC(95)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2834; RMG #2834 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+C7H14R(9)<=>CCC(95)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2835; RMG #2835 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+C6H12L(11)<=>CCC(95)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #2836; RMG #2836 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(65) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #2837; RMG #2837 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(66); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(66) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2838; RMG #2838 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(67); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(67) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2839; RMG #2839 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(68); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(68) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2840; RMG #2840 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(69) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #2841; RMG #2841 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(70); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(70) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #2842; RMG #2842 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(71); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(71) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #2843; RMG #2843 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(72) 2.434160e-04 4.470 6.593 - -! Reaction index: Chemkin #2844; RMG #2844 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(73); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(73) 1.630300e-04 4.810 8.490 - -! Reaction index: Chemkin #2845; RMG #2845 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), [CH2]CC(195); CH3(74), C(75); -! Estimated using template [C/H3/Cs\OneNonDe;C_methyl] for rate rule [C/H3/Cs\H2\Cs;C_methyl] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CH3(74)+CCC(95)<=>C(75)+[CH2]CC(195) 4.000000e+00 3.570 7.717 - -! Reaction index: Chemkin #2846; RMG #2846 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C5H9L(57)<=>CCC(95)+C5H8L(77) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2847; RMG #2847 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C5H9L(84)<=>CCC(95)+C5H8L(77) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2848; RMG #2848 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+[CH2]CC(195)<=>C3H4R(78)+CCC(95) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2849; RMG #2849 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+[CH2]CC(195)<=>C3H4R(78)+CCC(95) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2850; RMG #2850 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C4H7R(60)<=>CCC(95)+C4H6R(79) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2851; RMG #2851 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+C4H7R(81)<=>CCC(95)+C4H6R(79) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #2852; RMG #2852 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), [CH2]CC(195); H(82), [H][H](83); -! Estimated using average of templates [C/H3/Cs\OneNonDe;H_rad] + [C/H3/Cs\H2\Cs;Y_rad] for rate rule [C/H3/Cs\H2\Cs;H_rad] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -H(82)+CCC(95)<=>[H][H](83)+[CH2]CC(195) 1.663820e+04 2.718 6.496 - -! Reaction index: Chemkin #2853; RMG #2853 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -[CH2]CC(195)+CC(C)CC(C)C(87)<=>CCC(95)+C7H15(85) 6.521200e-04 4.810 8.490 - -! Reaction index: Chemkin #2854; RMG #2854 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C5H9L(24)<=>CCC(95)+C5H8L(89) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2855; RMG #2855 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C5H9L(57)<=>CCC(95)+C5H8L(89) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2856; RMG #2856 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C6H11R(56)<=>CCC(95)+C6H10R(90) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2857; RMG #2857 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H11R(98)<=>CCC(95)+C6H10R(90) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2858; RMG #2858 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), CCC(95); [CH2]CC(195), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+CCC(95)<=>C[CH]C(94)+CCC(95) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #2859; RMG #2859 -! Template reaction: H_Abstraction -! Flux pairs: C8H17L(49), C8H16L(15); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C8H17L(49)<=>CCC(95)+C8H16L(15) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2860; RMG #2860 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10R(90)<=>C3H6(18)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2861; RMG #2861 -! Template reaction: H_Abstraction -! Flux pairs: RC10(2), C10H20R(64); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+RC10(2)<=>CCC(95)+C10H20R(64) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2862; RMG #2862 -! Template reaction: H_Abstraction -! Flux pairs: LC10(3), C10H20L(76); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+LC10(3)<=>CCC(95)+C10H20L(76) 2.163870e-03 4.290 7.536 - -! Reaction index: Chemkin #2863; RMG #2863 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+[CH2]CC(195)<=>C3H5(102)+CCC(95) 2.961350e-04 4.545 4.565 - -! Reaction index: Chemkin #2864; RMG #2864 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H11L(63)<=>CCC(95)+C6H10L(103) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2865; RMG #2865 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+C6H11L(107)<=>CCC(95)+C6H10L(103) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #2866; RMG #2866 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10L(169)<=>C3H6(18)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2867; RMG #2867 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10L(103)<=>C3H6(18)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2868; RMG #2868 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C7H13R(62)<=>CCC(95)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2869; RMG #2869 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+C7H13R(120)<=>CCC(95)+C7H12R(108) 2.688720e-04 4.649 4.528 - -! Reaction index: Chemkin #2870; RMG #2870 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H9(113)<=>C3H6(18)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2871; RMG #2871 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C8H15L(61)<=>CCC(95)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2872; RMG #2872 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C6H10(110)<=>CCC(95)+C6H9(113) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2873; RMG #2873 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H10(116)<=>CCC(95)+C6H9(114) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2874; RMG #2874 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C6H9(160)<=>C3H6(18)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2875; RMG #2875 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H9(114)<=>C3H6(18)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2876; RMG #2876 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C6H7(123)<=>C3H6(18)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2877; RMG #2877 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2878; RMG #2878 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H12R(108)<=>C3H6(18)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2879; RMG #2879 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H8(118)<=>CCC(95)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2880; RMG #2880 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H8(125)<=>CCC(95)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2881; RMG #2881 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C6H7(123)<=>C3H6(18)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2882; RMG #2882 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2883; RMG #2883 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C6H9(160)<=>CCC(95)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2884; RMG #2884 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+[CH2]CC(195)<=>C3H4L(147)+CCC(95) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #2885; RMG #2885 -! Template reaction: H_Abstraction -! Flux pairs: C4H8(157), C4H7(156); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]CC(195)+C4H8(157)<=>CCC(95)+C4H7(156) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #2886; RMG #2886 -! Library reaction: restart -! Flux pairs: C4H7(156), C4H8(157); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C4H7(156)<=>C3H6(18)+C4H8(157) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2887; RMG #2887 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H10(116)<=>CCC(95)+C6H9(160) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2888; RMG #2888 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C6H11L(107)<=>CCC(95)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2889; RMG #2889 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H11R(17)<=>CCC(95)+C6H10R(171) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2890; RMG #2890 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C6H11R(56)<=>CCC(95)+C6H10R(171) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2891; RMG #2891 -! Library reaction: restart -! Flux pairs: C5H7(174), C5H8(173); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C5H7(174)<=>C3H6(18)+C5H8(173) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2892; RMG #2892 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C5H8(173)<=>CCC(95)+C5H7(174) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #2893; RMG #2893 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]CC(195)+C5H8(180)<=>CCC(95)+C5H7(178) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #2894; RMG #2894 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H8(180); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C5H7(178)<=>C3H6(18)+C5H8(180) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2895; RMG #2895 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C10H15(183)<=>CCC(95)+C10H14(184) 1.225850e+27 -4.376 5.367 - -! Reaction index: Chemkin #2896; RMG #2896 -! Library reaction: restart -! Flux pairs: C5H5(189), C5H6(187); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -[CH2]CC(195)+C5H5(189)<=>C3H6(18)+C5H6(187) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #2897; RMG #2897 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C5H7(178)<=>CCC(95)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2898; RMG #2898 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C5H6(187)<=>CCC(95)+C5H5(189) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #2899; RMG #2899 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C8H13(191)<=>CCC(95)+C8H12(194) 1.225850e+27 -4.376 3.758 - -! Reaction index: Chemkin #2900; RMG #2900 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), [CH2]CC(195); C2H4(196), [CH2]CC(195); -! Matched reaction 2902 CH3 + C2H4 <=> C3H7 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-HHH] -! family: R_Addition_MultipleBond -CH3(74)+C2H4(196)<=>[CH2]CC(195) 8.610000e+02 2.988 7.238 - -! Reaction index: Chemkin #2901; RMG #2901 -! Template reaction: Intra_R_Add_Exocyclic -! Flux pairs: C8H13(191), C8H13(197); -! Matched reaction 181 C8H13-17 <=> C8H13-18 in Intra_R_Add_Exocyclic/training -! This reaction matched rate rule [Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Sp-7R!H=6R!H] -! family: Intra_R_Add_Exocyclic -C8H13(191)<=>C8H13(197) 6.190000e+11 0.210 14.020 - -! Reaction index: Chemkin #2902; RMG #2902 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H4(196), C8H13(198); C6H9(113), C8H13(198); -! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH -! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C2H4(196)+C6H9(113)<=>C8H13(198) 2.971820e+02 2.951 4.541 - -! Reaction index: Chemkin #2903; RMG #2903 -! Library reaction: restart -! Flux pairs: H(82), C7H13R(120); C7H12R(199), C7H13R(120); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R -H(82)+C7H12R(199)<=>C7H13R(120) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #2904; RMG #2904 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C7H13R(120)<=>CC(C)CR(20)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2905; RMG #2905 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C7H13R(120)<=>CCCR(27)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2906; RMG #2906 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C7H13R(120)<=>CCCC(C)CR(32)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2907; RMG #2907 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C7H13R(120)<=>CC(C)L(13)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2908; RMG #2908 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C7H14R(9)<=>C7H12R(199)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2909; RMG #2909 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C7H13R(120)<=>CCCC(C)L(16)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2910; RMG #2910 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C7H13R(120)<=>CCL(26)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2911; RMG #2911 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+C7H13R(120)<=>CC(C)CC(C)L(25)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2912; RMG #2912 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H12R(199)<=>C3H5R(12)+C7H13R(120) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2913; RMG #2913 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C7H13R(120)<=>CR(22)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2914; RMG #2914 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(17)+C7H13R(120) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2915; RMG #2915 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H12R(199)<=>C3H6(18)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2916; RMG #2916 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H12R(199)<=>C3H6(18)+C7H13R(120) 2.451710e+27 -4.376 7.254 - -! Reaction index: Chemkin #2917; RMG #2917 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H12R(199)<=>C2H3L(19)+C7H13R(120) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2918; RMG #2918 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C8H16L(15)<=>C7H13R(120)+C8H15L(21) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2919; RMG #2919 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(24)+C7H13R(120) 1.225850e+27 -4.376 7.170 - -! Reaction index: Chemkin #2920; RMG #2920 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(56)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2921; RMG #2921 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(57)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2922; RMG #2922 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H12R(199)<=>C3H5R(58)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2923; RMG #2923 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C7H12R(199)<=>C3H5L(59)+C7H13R(120) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2924; RMG #2924 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C7H12R(199)<=>C4H7R(60)+C7H13R(120) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2925; RMG #2925 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C8H16L(15)<=>C7H13R(120)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2926; RMG #2926 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(120); C7H12R(199), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H12R(199)+C7H14R(9)<=>C7H13R(62)+C7H13R(120) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2927; RMG #2927 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C7H12R(199)<=>C6H11L(63)+C7H13R(120) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #2928; RMG #2928 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(66)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2929; RMG #2929 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(67)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2930; RMG #2930 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(68)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2931; RMG #2931 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(120), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(69)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2932; RMG #2932 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(70)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2933; RMG #2933 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(71)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2934; RMG #2934 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(120), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(72)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2935; RMG #2935 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(73)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2936; RMG #2936 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C7H13R(120)<=>C(75)+C7H12R(199) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #2937; RMG #2937 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C5H9L(57), C5H8L(77); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C7H12R(199)<=>C5H8L(77)+C7H13R(120) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2938; RMG #2938 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C7H13R(120)<=>C5H9L(84)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2939; RMG #2939 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C7H13R(120)<=>C3H5R(12)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2940; RMG #2940 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C7H13R(120)<=>C3H5R(58)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2941; RMG #2941 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C7H13R(120)<=>C4H7R(60)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2942; RMG #2942 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C7H13R(120)<=>C4H7R(81)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2943; RMG #2943 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C7H15(85)<=>C7H12R(199)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2944; RMG #2944 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C7H13R(120)<=>C5H9L(24)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2945; RMG #2945 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C7H13R(120)<=>C5H9L(57)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2946; RMG #2946 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C6H11R(56), C6H10R(90); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C7H12R(199)<=>C6H10R(90)+C7H13R(120) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2947; RMG #2947 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(90), C6H11R(98); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C7H13R(120)<=>C6H11R(98)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2948; RMG #2948 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C7H13R(120)<=>CCC(95)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2949; RMG #2949 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C7H13R(120)<=>C3H6(18)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2950; RMG #2950 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H10L(103), C6H11L(63); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C7H13R(120)<=>C6H11L(63)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2951; RMG #2951 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C7H13R(120)<=>C6H11L(107)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2952; RMG #2952 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H13R(62); C7H12R(108), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C7H13R(120)<=>C7H12R(199)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2953; RMG #2953 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H13R(120); C7H12R(108), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C7H13R(120)<=>C7H12R(199)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2954; RMG #2954 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(199), C7H13R(120); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(199)+C8H15L(61)<=>C7H13R(120)+C8H14L(112) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2955; RMG #2955 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C7H13R(120)<=>C6H10(110)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2956; RMG #2956 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C7H13R(120)<=>C6H10(116)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2957; RMG #2957 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(199)<=>C6H8(118)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2958; RMG #2958 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C8H16L(15)<=>C7H12R(199)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2959; RMG #2959 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C10H20R(64)<=>C7H12R(199)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2960; RMG #2960 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(120), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C9H17LR(65)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #2961; RMG #2961 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C10H20L(76)<=>C7H12R(199)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #2962; RMG #2962 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C7H13R(120)<=>C6H8(118)+C7H12R(199) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #2963; RMG #2963 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C7H13R(120)<=>C6H8(125)+C7H12R(199) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #2964; RMG #2964 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(199)<=>C6H8(125)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2965; RMG #2965 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H12R(199)<=>C6H8(125)+C7H13R(120) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2966; RMG #2966 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C7H13R(120)<=>C3H5L(59)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2967; RMG #2967 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C7H13R(120)<=>C4H8(157)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2968; RMG #2968 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C7H13R(120)<=>C6H10(116)+C7H12R(199) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2969; RMG #2969 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C6H11L(107), C6H10L(169); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C7H12R(199)<=>C6H10L(169)+C7H13R(120) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #2970; RMG #2970 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(171), C6H11R(17); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C7H13R(120)<=>C6H11R(17)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #2971; RMG #2971 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(171), C6H11R(56); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C7H13R(120)<=>C6H11R(56)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #2972; RMG #2972 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C7H13R(120)<=>C5H8(173)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #2973; RMG #2973 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C7H13R(120)<=>C5H8(180)+C7H12R(199) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #2974; RMG #2974 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C10H15(183)<=>C7H13R(120)+C10H14(184) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #2975; RMG #2975 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H12R(199)<=>C5H6(187)+C7H13R(120) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #2976; RMG #2976 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C7H13R(120)<=>C5H6(187)+C7H12R(199) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #2977; RMG #2977 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C8H13(191)<=>C7H13R(120)+C8H12(194) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #2978; RMG #2978 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C7H13R(120)<=>CCC(95)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #2979; RMG #2979 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C7H13R(120)<=>[H][H](83)+C7H12R(199) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #2980; RMG #2980 -! Library reaction: restart -! Flux pairs: C5H7(174), C10H14(200); C5H7(174), C10H14(200); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C5H7(174)<=>C10H14(200) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #2981; RMG #2981 -! Library reaction: restart -! Flux pairs: C5H5(189), C10H12(201); C5H7(174), C10H12(201); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C5H7(174)<=>C10H12(201) 1.767930e+17 -1.003 0.000 - -! Reaction index: Chemkin #2982; RMG #2982 -! Library reaction: restart -! Flux pairs: H(82), C10H14(179); C10H13(202), C10H14(179); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C10H13(202)<=>C10H14(179) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #2983; RMG #2983 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C10H14(179)<=>CCCR(27)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2984; RMG #2984 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C10H14(179)<=>CCL(26)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #2985; RMG #2985 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H13(202)<=>C3H5R(12)+C10H14(179) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #2986; RMG #2986 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C10H14(179)<=>CR(22)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #2987; RMG #2987 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H13(202)<=>C6H11R(17)+C10H14(179) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #2988; RMG #2988 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H13(202)<=>C3H6(18)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2989; RMG #2989 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H13(202)<=>C3H6(18)+C10H14(179) 2.451710e+27 -4.376 7.580 - -! Reaction index: Chemkin #2990; RMG #2990 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H13(202)<=>C2H3L(19)+C10H14(179) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #2991; RMG #2991 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H13(202)<=>C8H15L(21)+C10H14(179) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #2992; RMG #2992 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H13(202)<=>C5H9L(24)+C10H14(179) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #2993; RMG #2993 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H13(202)<=>C6H11R(56)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2994; RMG #2994 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H13(202)<=>C5H9L(57)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2995; RMG #2995 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H13(202)<=>C3H5R(58)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2996; RMG #2996 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C10H13(202)<=>C3H5L(59)+C10H14(179) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #2997; RMG #2997 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C10H13(202)<=>C4H7R(60)+C10H14(179) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #2998; RMG #2998 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H13(202)<=>C8H15L(61)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #2999; RMG #2999 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C10H13(202)<=>C7H13R(62)+C10H14(179) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3000; RMG #3000 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C10H13(202)<=>C6H11L(63)+C10H14(179) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3001; RMG #3001 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C10H13(202)<=>C5H8L(77)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3002; RMG #3002 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C10H14(179)<=>C5H9L(84)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3003; RMG #3003 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C10H14(179)<=>C3H5R(12)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3004; RMG #3004 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C10H14(179)<=>C3H5R(58)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3005; RMG #3005 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C10H14(179)<=>C4H7R(60)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3006; RMG #3006 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C10H14(179)<=>C4H7R(81)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3007; RMG #3007 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C10H14(179)<=>C5H9L(24)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3008; RMG #3008 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C10H14(179)<=>C5H9L(57)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3009; RMG #3009 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C10H13(202)<=>C6H10R(90)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3010; RMG #3010 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H10R(90), C6H11R(98); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C10H14(179)<=>C6H11R(98)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3011; RMG #3011 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C10H13(202)<=>C3H5(102)+C10H14(179) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3012; RMG #3012 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H10L(103), C6H11L(63); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C10H14(179)<=>C6H11L(63)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3013; RMG #3013 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C10H14(179)<=>C6H11L(107)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3014; RMG #3014 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C7H12R(108), C7H13R(62); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C10H14(179)<=>C7H13R(62)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3015; RMG #3015 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C10H14(179)<=>C7H13R(120)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3016; RMG #3016 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C10H13(202)<=>C6H9(113)+C10H14(179) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3017; RMG #3017 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H9(114), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(114)+C10H14(179)<=>C6H10(116)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3018; RMG #3018 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H13(202)<=>C6H8(118)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3019; RMG #3019 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C10H13(202)<=>C6H7(123)+C10H14(179) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #3020; RMG #3020 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C10H13(202)<=>C6H7(123)+C10H14(179) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #3021; RMG #3021 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H13(202)<=>C6H8(125)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3022; RMG #3022 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H13(202)<=>C6H8(125)+C10H14(179) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3023; RMG #3023 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C10H14(179)<=>C3H5L(59)+C10H13(202) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3024; RMG #3024 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C10H14(179)<=>C4H8(157)+C10H13(202) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3025; RMG #3025 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H9(160), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9(160)+C10H14(179)<=>C6H10(116)+C10H13(202) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #3026; RMG #3026 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C10H13(202)<=>C6H10L(169)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3027; RMG #3027 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H10R(171), C6H11R(17); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C10H14(179)<=>C6H11R(17)+C10H13(202) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3028; RMG #3028 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C10H14(179)<=>C6H11R(56)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3029; RMG #3029 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C10H13(202)<=>C5H7(174)+C10H14(179) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3030; RMG #3030 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C10H13(202)<=>C5H7(178)+C10H14(179) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #3031; RMG #3031 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H6(187), C10H13(202); C5H7(174), C10H13(202); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdHH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: R_Addition_MultipleBond -C5H6(187)+C5H7(174)<=>C10H13(202) 4.760000e+04 2.410 10.290 - -! Reaction index: Chemkin #3032; RMG #3032 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H13(202)<=>C5H6(187)+C10H14(179) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3033; RMG #3033 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C10H15(183)<=>C10H14(179)+C10H14(184) 1.225850e+27 -4.376 10.132 - -! Reaction index: Chemkin #3034; RMG #3034 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C10H13(202)<=>C8H12(194)+C10H14(179) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #3035; RMG #3035 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(65)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3036; RMG #3036 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(69)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3037; RMG #3037 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(66)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3038; RMG #3038 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(68)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3039; RMG #3039 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(72)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3040; RMG #3040 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(73)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3041; RMG #3041 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(71)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3042; RMG #3042 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(67)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3043; RMG #3043 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(70)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3044; RMG #3044 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C10H20R(64)<=>C10H12(201)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3045; RMG #3045 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C10H20L(76)<=>C10H12(201)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3046; RMG #3046 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H13(202)<=>C3H5R(12)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3047; RMG #3047 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C10H13(202)<=>CC(C)L(13)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3048; RMG #3048 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H13(202)<=>CCCC(C)L(16)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3049; RMG #3049 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H13(202)<=>C6H11R(17)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3050; RMG #3050 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C10H13(202)<=>C3H6(18)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3051; RMG #3051 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C10H13(202)<=>CC(C)CR(20)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3052; RMG #3052 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C10H13(202)<=>CR(22)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3053; RMG #3053 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C10H13(202)<=>CC(C)CC(C)CR(23)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3054; RMG #3054 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H13(202)<=>C5H9L(24)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3055; RMG #3055 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C10H13(202)<=>CC(C)CC(C)L(25)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3056; RMG #3056 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C10H13(202)<=>CCL(26)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3057; RMG #3057 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H13(202)<=>CCCR(27)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3058; RMG #3058 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H13(202)<=>CCCC(C)CR(32)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3059; RMG #3059 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H13(202)<=>C8H17L(49)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3060; RMG #3060 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H13(202)<=>C6H11R(56)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3061; RMG #3061 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H13(202)<=>C6H11R(56)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3062; RMG #3062 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H13(202)<=>C5H9L(57)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3063; RMG #3063 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H13(202)<=>C5H9L(57)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3064; RMG #3064 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H13(202)<=>C3H5R(58)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3065; RMG #3065 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C10H13(202)<=>C3H5L(59)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3066; RMG #3066 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H13(202)<=>C4H7R(60)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3067; RMG #3067 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C10H13(202)<=>C8H15L(61)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3068; RMG #3068 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H13(202)<=>C7H13R(62)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3069; RMG #3069 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H13(202)<=>C6H11L(63)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3070; RMG #3070 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C10H13(202)<=>C(75)+C10H12(201) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #3071; RMG #3071 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C10H13(202)<=>C(75)+C10H12(201) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #3072; RMG #3072 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H13(202)<=>C4H7R(81)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3073; RMG #3073 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C10H13(202)<=>[H][H](83)+C10H12(201) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #3074; RMG #3074 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H13(202)<=>C5H9L(84)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3075; RMG #3075 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C10H13(202)<=>CC(C)CC(C)C(87)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3076; RMG #3076 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C10H13(202)<=>CCC(95)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3077; RMG #3077 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H13(202)<=>CCC(95)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3078; RMG #3078 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H13(202)<=>C6H11R(98)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3079; RMG #3079 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H13(202)<=>C6H11L(107)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3080; RMG #3080 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H13(202)<=>C6H11L(107)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3081; RMG #3081 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C10H13(202)<=>C6H10(110)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3082; RMG #3082 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H13(202)<=>C6H10(116)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3083; RMG #3083 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H13(202)<=>C6H10(116)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3084; RMG #3084 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H13(202)<=>C6H8(118)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3085; RMG #3085 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H13(202)<=>C7H13R(120)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3086; RMG #3086 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H13(202)<=>C7H13R(120)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3087; RMG #3087 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H13(202)<=>C6H8(125)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3088; RMG #3088 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C10H13(202)<=>C4H8(157)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3089; RMG #3089 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C10H13(202)<=>C5H8(173)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3090; RMG #3090 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H13(202)<=>C5H8(180)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3091; RMG #3091 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C10H13(202)<=>C5H6(187)+C10H12(201) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #3092; RMG #3092 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C10H13(202); C10H12(201), C10H13(202); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -H(82)+C10H12(201)<=>C10H13(202) 3.300000e+09 1.480 0.900 - -! Reaction index: Chemkin #3093; RMG #3093 -! Library reaction: restart -! Flux pairs: H(82), CC(L)CC(C)L(35); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C5H9L2(203)<=>CC(L)CC(C)L(35) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #3094; RMG #3094 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+CC(L)CC(C)L(35)<=>CC(C)CR(20)+C5H9L2(203) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3095; RMG #3095 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+CC(L)CC(C)L(35)<=>CCCR(27)+C5H9L2(203) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3096; RMG #3096 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C[CH]CC(C)CR(5)<=>C5H9L2(203)+CCCC(C)CR(32) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3097; RMG #3097 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+CC(L)CC(C)L(35)<=>CC(C)L(13)+C5H9L2(203) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3098; RMG #3098 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C7H14R(9)<=>C5H9L2(203)+CC(C)CC(C)CR(23) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3099; RMG #3099 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C[CH]CC(C)L(7)<=>C5H9L2(203)+CCCC(C)L(16) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3100; RMG #3100 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+CC(L)CC(C)L(35)<=>CCL(26)+C5H9L2(203) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3101; RMG #3101 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H12L(11)<=>C5H9L2(203)+CC(C)CC(C)L(25) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3102; RMG #3102 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H9L2(203)<=>C3H5R(12)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3103; RMG #3103 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+CC(L)CC(C)L(35)<=>CR(22)+C5H9L2(203) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3104; RMG #3104 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C8H16L(15)<=>C5H9L2(203)+C8H17L(49) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3105; RMG #3105 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C[CH]CC(C)CR(5)<=>CC(L)CC(C)L(35)+C6H11R(17) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #3106; RMG #3106 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H9L2(203)<=>C3H6(18)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3107; RMG #3107 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C5H9L2(203)<=>C3H6(18)+CC(L)CC(C)L(35) 2.451710e+27 -4.376 4.536 - -! Reaction index: Chemkin #3108; RMG #3108 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H9L2(203)<=>C2H3L(19)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3109; RMG #3109 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C8H16L(15)<=>CC(L)CC(C)L(35)+C8H15L(21) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #3110; RMG #3110 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CC(L)CC(C)L(35); C5H9L2(203), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C[CH]CC(C)L(7)<=>C5H9L(24)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.474 - -! Reaction index: Chemkin #3111; RMG #3111 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C[CH]CC(C)CR(5)<=>CC(L)CC(C)L(35)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3112; RMG #3112 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CC(L)CC(C)L(35); C5H9L2(203), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C[CH]CC(C)L(7)<=>C5H9L(57)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3113; RMG #3113 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H9L2(203)<=>C3H5R(58)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3114; RMG #3114 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C5H9L2(203); C3H5L(59), C5H9L2(203); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C3H5L(59)<=>C5H9L2(203) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #3115; RMG #3115 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C5H9L2(203)<=>C3H5L(59)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3116; RMG #3116 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C5H9L2(203)<=>C4H7R(60)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3117; RMG #3117 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C8H16L(15)<=>CC(L)CC(C)L(35)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3118; RMG #3118 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H9L2(203)+C7H14R(9)<=>CC(L)CC(C)L(35)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3119; RMG #3119 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H9L2(203)+C6H12L(11)<=>CC(L)CC(C)L(35)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3120; RMG #3120 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C10H20R(64)<=>C5H9L2(203)+RC10(2) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3121; RMG #3121 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+RC10L(1)<=>CC(L)CC(C)L(35)+C9H17LR(65) 5.420000e-04 4.340 4.900 - -! Reaction index: Chemkin #3122; RMG #3122 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(66)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3123; RMG #3123 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(67)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3124; RMG #3124 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(68)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3125; RMG #3125 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(70)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3126; RMG #3126 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(71)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3127; RMG #3127 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); CH3(74), C(75); -! From training reaction 953 used for C/H/Cs3;C_methyl -! Exact match found for rate rule [C/H/Cs3;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CH3(74)+CC(L)CC(C)L(35)<=>C(75)+C5H9L2(203) 2.260000e-02 4.340 7.690 - -! Reaction index: Chemkin #3128; RMG #3128 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C10H20L(76)<=>C5H9L2(203)+LC10(3) 2.554250e-04 4.473 6.257 - -! Reaction index: Chemkin #3129; RMG #3129 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H9L(57), C5H8L(77); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C5H9L2(203)<=>C5H8L(77)+CC(L)CC(C)L(35) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #3130; RMG #3130 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(77), C5H9L(84); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+CC(L)CC(C)L(35)<=>C5H9L(84)+C5H9L2(203) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3131; RMG #3131 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4R(78), C3H5R(12); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+CC(L)CC(C)L(35)<=>C3H5R(12)+C5H9L2(203) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3132; RMG #3132 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4R(78), C3H5R(58); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+CC(L)CC(C)L(35)<=>C3H5R(58)+C5H9L2(203) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #3133; RMG #3133 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C4H6R(79), C4H7R(60); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+CC(L)CC(C)L(35)<=>C4H7R(60)+C5H9L2(203) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3134; RMG #3134 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+C5H9L2(203)<=>C4H6R(79)+CC(L)CC(C)L(35) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #3135; RMG #3135 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C7H15(85)<=>C5H9L2(203)+CC(C)CC(C)C(87) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3136; RMG #3136 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(89), C5H9L(24); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+CC(L)CC(C)L(35)<=>C5H9L(24)+C5H9L2(203) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3137; RMG #3137 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(89), C5H9L(57); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+CC(L)CC(C)L(35)<=>C5H9L(57)+C5H9L2(203) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #3138; RMG #3138 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C6H11R(56)<=>CC(L)CC(C)L(35)+C6H10R(90) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #3139; RMG #3139 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H10R(90)<=>C5H9L2(203)+C6H11R(98) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3140; RMG #3140 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]C(94), CCC(95); -! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]C(94)+CC(L)CC(C)L(35)<=>CCC(95)+C5H9L2(203) 1.622000e-03 4.340 5.300 - -! Reaction index: Chemkin #3141; RMG #3141 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C3H6(18), C3H5(102); -! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C5H9L2(203)<=>C3H5(102)+CC(L)CC(C)L(35) 1.014000e-03 4.340 3.700 - -! Reaction index: Chemkin #3142; RMG #3142 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H10L(103)<=>C5H9L2(203)+C6H11L(63) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3143; RMG #3143 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H9L2(203)+C6H11L(107)<=>CC(L)CC(C)L(35)+C6H10L(103) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #3144; RMG #3144 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C7H12R(108)<=>C5H9L2(203)+C7H13R(62) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3145; RMG #3145 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H9L2(203)+C7H13R(120)<=>CC(L)CC(C)L(35)+C7H12R(108) 5.136920e-04 4.418 3.856 - -! Reaction index: Chemkin #3146; RMG #3146 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H9(113)<=>C5H9L2(203)+C6H10(110) 3.380000e-02 4.340 16.850 - -! Reaction index: Chemkin #3147; RMG #3147 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H9(114)<=>C5H9L2(203)+C6H10(116) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3148; RMG #3148 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C8H15L(61)<=>CC(L)CC(C)L(35)+C8H14L(112) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #3149; RMG #3149 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3150; RMG #3150 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L2(203)+C6H8(118)<=>CC(L)CC(C)L(35)+C6H7(123) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #3151; RMG #3151 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L2(203)+C6H8(125)<=>CC(L)CC(C)L(35)+C6H7(123) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #3152; RMG #3152 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3153; RMG #3153 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H9L2(203)+C6H9(160)<=>CC(L)CC(C)L(35)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3154; RMG #3154 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+C5H9L2(203)<=>C3H4L(147)+CC(L)CC(C)L(35) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #3155; RMG #3155 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+C5H9L2(203)<=>C4H7(156)+CC(L)CC(C)L(35) 8.640000e-05 4.520 1.460 - -! Reaction index: Chemkin #3156; RMG #3156 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H9(160)<=>C5H9L2(203)+C6H10(116) 2.780000e-02 4.340 14.900 - -! Reaction index: Chemkin #3157; RMG #3157 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C6H11L(107)<=>CC(L)CC(C)L(35)+C6H10L(169) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #3158; RMG #3158 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H10R(171)<=>C5H9L2(203)+C6H11R(17) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3159; RMG #3159 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H10R(171)<=>C5H9L2(203)+C6H11R(56) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #3160; RMG #3160 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H7(174), C5H8(173); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(174)+CC(L)CC(C)L(35)<=>C5H8(173)+C5H9L2(203) 6.760000e-02 4.340 16.600 - -! Reaction index: Chemkin #3161; RMG #3161 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H7(178), C5H8(180); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+CC(L)CC(C)L(35)<=>C5H8(180)+C5H9L2(203) 2.780000e-02 4.340 14.900 - -! Reaction index: Chemkin #3162; RMG #3162 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C10H15(183)<=>CC(L)CC(C)L(35)+C10H14(184) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #3163; RMG #3163 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H9L2(203)<=>C5H6(187)+CC(L)CC(C)L(35) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3164; RMG #3164 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H6(187), C5H5(189); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C5H9L2(203)<=>C5H5(189)+CC(L)CC(C)L(35) 1.916000e-03 4.340 -2.500 - -! Reaction index: Chemkin #3165; RMG #3165 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C8H13(191)<=>CC(L)CC(C)L(35)+C8H12(194) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3166; RMG #3166 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C7H13R(120)<=>CC(L)CC(C)L(35)+C7H12R(199) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #3167; RMG #3167 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C10H13(202)<=>CC(L)CC(C)L(35)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3168; RMG #3168 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H13(202)<=>C9H17LR(65)+C10H14(179) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3169; RMG #3169 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H13(202)<=>C9H17LR(69)+C10H14(179) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3170; RMG #3170 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3171; RMG #3171 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3172; RMG #3172 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H13(202)<=>C9H17LR(72)+C10H14(179) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3173; RMG #3173 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3174; RMG #3174 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3175; RMG #3175 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3176; RMG #3176 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3177; RMG #3177 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(69)<=>C5H9L2(203)+RC10L(1) 1.084000e-03 4.340 4.900 - -! Reaction index: Chemkin #3178; RMG #3178 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(72)<=>C5H9L2(203)+RC10L(1) 1.084000e-03 4.340 4.900 - -! Reaction index: Chemkin #3179; RMG #3179 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C9H17LR(73)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3180; RMG #3180 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C10H14(179)<=>CC(C)L(13)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3181; RMG #3181 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C10H14(179)<=>CC(C)CR(20)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3182; RMG #3182 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C10H14(179)<=>CC(C)CC(C)L(25)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3183; RMG #3183 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+CC(L)CC(C)L(35)<=>CCC(95)+C5H9L2(203) 4.868320e-04 4.470 6.593 - -! Reaction index: Chemkin #3184; RMG #3184 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C10H13(202)<=>CH3(74)+C10H14(179) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #3185; RMG #3185 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); H(82), [H][H](83); -! From training reaction 952 used for C/H/Cs3;H_rad -! Exact match found for rate rule [C/H/Cs3;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -H(82)+CC(L)CC(C)L(35)<=>[H][H](83)+C5H9L2(203) 9.520000e-01 4.340 2.000 - -! Reaction index: Chemkin #3186; RMG #3186 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C10H13(202)<=>C[CH]C(94)+C10H14(179) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #3187; RMG #3187 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C10H14(179)<=>CCC(95)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3188; RMG #3188 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C7H13R(120), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C10H13(202)<=>C7H12R(199)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3189; RMG #3189 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C10H13(202)<=>C10H12(201)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3190; RMG #3190 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H16(204); C6H9(114), C11H16(204); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H9(114)<=>C11H16(204) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3191; RMG #3191 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C10H14L(205); C5H7(174), C10H14L(205); -! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C5H7(174)<=>C10H14L(205) 2.380000e+04 2.410 10.290 - -! Reaction index: Chemkin #3192; RMG #3192 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C7H11LR(206); C4H5L(91), C7H11LR(206); -! From training reaction 473 used for Cds-CsH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C4H5L(91)<=>C7H11LR(206) 9.220000e+02 2.410 2.240 - -! Reaction index: Chemkin #3193; RMG #3193 -! Library reaction: restart -! Flux pairs: C3H4R(78), C8H9R(207); C5H5(189), C8H9R(207); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 5.0 -C3H4R(78)+C5H5(189)<=>C8H9R(207) 8.839650e+16 -1.003 0.000 - -! Reaction index: Chemkin #3194; RMG #3194 -! Library reaction: restart -! Flux pairs: C8H11LR(134), C8H11LR(208); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R -C8H11LR(134)<=>C8H11LR(208) 2.322560e-20 8.934 1.071 - -! Reaction index: Chemkin #3195; RMG #3195 -! Library reaction: restart -! Flux pairs: C8H11LR(208), C8H11LR(209); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R -C8H11LR(208)<=>C8H11LR(209) 4.825870e+53 -11.671 43.762 - -! Reaction index: Chemkin #3196; RMG #3196 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H6(187), C10H13(210); C5H7(174), C10H13(210); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H6(187)+C5H7(174)<=>C10H13(210) 5.760000e+01 2.740 3.300 - -! Reaction index: Chemkin #3197; RMG #3197 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H16(211); C6H9(114), C11H16(211); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H9(114)<=>C11H16(211) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3198; RMG #3198 -! Library reaction: restart -! Flux pairs: C7H9LR(212), C7H9LR(154); -! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-7R!H-R_4R!H-inRing -C7H9LR(212)<=>C7H9LR(154) 6.090000e+08 0.695 15.986 - -! Reaction index: Chemkin #3199; RMG #3199 -! Library reaction: restart -! Flux pairs: C3H4R(78), C8H11R(213); C5H7(174), C8H11R(213); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C5H7(174)<=>C8H11R(213) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #3200; RMG #3200 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C8H14R(214); C5H8(173), C8H14R(214); -! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C5H8(173)<=>C8H14R(214) 1.920000e+03 2.410 0.760 - -! Reaction index: Chemkin #3201; RMG #3201 -! Library reaction: restart -! Flux pairs: C7H9LR(212), C7H9LR(215); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R -C7H9LR(212)<=>C7H9LR(215) 4.825870e+53 -11.671 45.710 - -! Reaction index: Chemkin #3202; RMG #3202 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H6R(79), C8H13R2(216); C4H7R(60), C8H13R2(216); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H6R(79)+C4H7R(60)<=>C8H13R2(216) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #3203; RMG #3203 -! Library reaction: restart -! Flux pairs: C7H9LR(217), C7H9LR(215); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R -C7H9LR(217)<=>C7H9LR(215) 4.825870e+53 -11.671 43.097 - -! Reaction index: Chemkin #3204; RMG #3204 -! Library reaction: restart -! Flux pairs: C7H9LR(218), C7H9LR(212); -! Estimated from node Backbone4_N-Sp-5R!H-2R!H_Sp-2R!H-1R!H_N-3R!H-inRing_6R!H->C_Sp-3R!H-1R!H -C7H9LR(218)<=>C7H9LR(212) 5.228090e+01 2.741 14.849 - -! Reaction index: Chemkin #3205; RMG #3205 -! Library reaction: restart -! Flux pairs: C7H9LR(218), C7H9LR(217); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R -C7H9LR(218)<=>C7H9LR(217) 2.322560e-20 8.934 1.317 - -! Reaction index: Chemkin #3206; RMG #3206 -! Library reaction: restart -! Flux pairs: H(82), C3H5L(86); C3H4L(219), C3H5L(86); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C3H4L(219)<=>C3H5L(86) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #3207; RMG #3207 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+[CH2]C(C)CR(6)<=>C3H4L(219)+CC(C)CR(20) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3208; RMG #3208 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CR(10), CCCR(27); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C[CH]CR(10)<=>C3H4L(219)+CCCR(27) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3209; RMG #3209 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+[CH2]C(C)L(4)<=>C3H4L(219)+CC(C)L(13) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3210; RMG #3210 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(86), C3H4L(219); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C3H5L(86)<=>CCL(26)+C3H4L(219) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3211; RMG #3211 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C6H12L(11)<=>C3H4L(219)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3212; RMG #3212 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5L(86); C3H4L(219), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C[CH]CR(10)<=>C3H5R(12)+C3H5L(86) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3213; RMG #3213 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(86), C3H4L(219); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C3H5L(86)<=>CR(22)+C3H4L(219) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3214; RMG #3214 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C[CH]CC(C)CR(5)<=>C3H5L(86)+C6H11R(17) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #3215; RMG #3215 -! Library reaction: restart -! Flux pairs: [CH2]CC(195), C3H6(18); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+[CH2]CC(195)<=>C3H5L(86)+C3H6(18) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3216; RMG #3216 -! Library reaction: restart -! Flux pairs: C[CH]C(94), C3H6(18); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(219)+C[CH]C(94)<=>C3H5L(86)+C3H6(18) 2.451710e+27 -4.376 6.166 - -! Reaction index: Chemkin #3217; RMG #3217 -! Library reaction: restart -! Flux pairs: C3H4L(219), C3H5L(86); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C3H4L(219)<=>C2H3L(19)+C3H5L(86) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3218; RMG #3218 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C8H16L(15)<=>C3H5L(86)+C8H15L(21) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #3219; RMG #3219 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C[CH]CC(C)L(7)<=>C3H5L(86)+C5H9L(24) 1.225850e+27 -4.376 6.090 - -! Reaction index: Chemkin #3220; RMG #3220 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C[CH]CC(C)CR(5)<=>C3H5L(86)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3221; RMG #3221 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C[CH]CC(C)L(7)<=>C3H5L(86)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3222; RMG #3222 -! Library reaction: restart -! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C[CH]CR(10)<=>C3H5L(86)+C3H5R(58) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3223; RMG #3223 -! Library reaction: restart -! Flux pairs: [CH2]C(C)L(4), C3H5L(86); C3H4L(219), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5L(86) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3224; RMG #3224 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+[CH2]C(C)CR(6)<=>C3H5L(86)+C4H7R(60) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3225; RMG #3225 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C8H16L(15)<=>C3H5L(86)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3226; RMG #3226 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+C7H14R(9)<=>C3H5L(86)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3227; RMG #3227 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+C6H12L(11)<=>C3H5L(86)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3228; RMG #3228 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C10H20R(64)<=>C3H4L(219)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3229; RMG #3229 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(86), C3H4L(219); CH3(74), C(75); -! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C3H5L(86)<=>C(75)+C3H4L(219) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #3230; RMG #3230 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C5H9L(57)<=>C3H5L(86)+C5H8L(77) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #3231; RMG #3231 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C5H9L(84)<=>C3H5L(86)+C5H8L(77) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3232; RMG #3232 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(12), C3H5L(86); C3H4L(219), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C3H5R(12)<=>C3H4R(78)+C3H5L(86) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3233; RMG #3233 -! Template reaction: H_Abstraction -! Flux pairs: C3H5R(58), C3H5L(86); C3H4L(219), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C3H5R(58)<=>C3H4R(78)+C3H5L(86) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3234; RMG #3234 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(79); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C4H7R(60)<=>C3H5L(86)+C4H6R(79) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3235; RMG #3235 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H6R(79); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(219)+C4H7R(81)<=>C3H5L(86)+C4H6R(79) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3236; RMG #3236 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C7H15(85)<=>C3H4L(219)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3237; RMG #3237 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(67)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3238; RMG #3238 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(70)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3239; RMG #3239 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C[CH]CC(C)CR(5)<=>C3H4L(219)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3240; RMG #3240 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C7H14R(9)<=>C3H4L(219)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3241; RMG #3241 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C[CH]CC(C)L(7)<=>C3H4L(219)+CCCC(C)L(16) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3242; RMG #3242 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C3H4L(219), C3H5L(86); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #3243; RMG #3243 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(66)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3244; RMG #3244 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(68)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3245; RMG #3245 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C3H4L(219), C3H5L(86); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #3246; RMG #3246 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(71)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3247; RMG #3247 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C3H4L(219), C3H5L(86); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #3248; RMG #3248 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C9H17LR(73)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3249; RMG #3249 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C8H16L(15)<=>C3H4L(219)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3250; RMG #3250 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C5H9L(24)<=>C3H5L(86)+C5H8L(89) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3251; RMG #3251 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C3H4L(219), C3H5L(86); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C5H9L(57)<=>C3H5L(86)+C5H8L(89) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3252; RMG #3252 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C6H11R(56)<=>C3H5L(86)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #3253; RMG #3253 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H11R(98)<=>C3H5L(86)+C6H10R(90) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3254; RMG #3254 -! Template reaction: H_Abstraction -! Flux pairs: CCC(95), C[CH]C(94); C3H4L(219), C3H5L(86); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+CCC(95)<=>C3H5L(86)+C[CH]C(94) 2.920000e-02 4.340 16.600 - -! Reaction index: Chemkin #3255; RMG #3255 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C3H4L(219), C3H5L(86); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C3H6(18)<=>C3H5L(86)+C3H5(102) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3256; RMG #3256 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H11L(63)<=>C3H5L(86)+C6H10L(103) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3257; RMG #3257 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(219)+C6H11L(107)<=>C3H5L(86)+C6H10L(103) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3258; RMG #3258 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C7H13R(62)<=>C3H5L(86)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3259; RMG #3259 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(219)+C7H13R(120)<=>C3H5L(86)+C7H12R(108) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3260; RMG #3260 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C6H10(110)<=>C3H5L(86)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3261; RMG #3261 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H10(116)<=>C3H5L(86)+C6H9(114) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3262; RMG #3262 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C8H15L(61)<=>C3H5L(86)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #3263; RMG #3263 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3264; RMG #3264 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C3H4L(219), C3H5L(86); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H8(118)<=>C3H5L(86)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #3265; RMG #3265 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C3H4L(219), C3H5L(86); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H8(125)<=>C3H5L(86)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #3266; RMG #3266 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3267; RMG #3267 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(219)+C6H9(160)<=>C3H5L(86)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3268; RMG #3268 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(59), C3H5L(86); C3H4L(219), C3H4L(147); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C3H5L(59)<=>C3H4L(147)+C3H5L(86) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3269; RMG #3269 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5L(86)+C4H7(156)<=>C3H4L(219)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3270; RMG #3270 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H10(116)<=>C3H5L(86)+C6H9(160) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3271; RMG #3271 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C6H11L(107)<=>C3H5L(86)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #3272; RMG #3272 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H11R(17)<=>C3H5L(86)+C6H10R(171) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3273; RMG #3273 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C3H4L(219), C3H5L(86); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C6H11R(56)<=>C3H5L(86)+C6H10R(171) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3274; RMG #3274 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C5H8(173)<=>C3H5L(86)+C5H7(174) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3275; RMG #3275 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(219)+C5H8(180)<=>C3H5L(86)+C5H7(178) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3276; RMG #3276 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C10H15(183)<=>C3H5L(86)+C10H14(184) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3277; RMG #3277 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(219)+C5H7(178)<=>C3H5L(86)+C5H6(187) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3278; RMG #3278 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C3H4L(219), C3H5L(86); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C5H6(187)<=>C3H5L(86)+C5H5(189) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #3279; RMG #3279 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C8H13(191)<=>C3H5L(86)+C8H12(194) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3280; RMG #3280 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]CC(195), CCC(95); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+[CH2]CC(195)<=>C3H4L(219)+CCC(95) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3281; RMG #3281 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C7H13R(120)<=>C3H5L(86)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #3282; RMG #3282 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C10H13(202)<=>C3H5L(86)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3283; RMG #3283 -! Template reaction: H_Abstraction -! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4L(219), C3H5L(86); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+CC(L)CC(C)L(35)<=>C3H5L(86)+C5H9L2(203) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #3284; RMG #3284 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+C10H20L(76)<=>C3H4L(219)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3285; RMG #3285 -! Template reaction: H_Abstraction -! Flux pairs: C3H5L(86), C3H4L(219); H(82), [H][H](83); -! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C3H5L(86)<=>[H][H](83)+C3H4L(219) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #3286; RMG #3286 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H4L(219), C7H9LR(218); C4H5R(220), C7H9LR(218); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H4L(219)+C4H5R(220)<=>C7H9LR(218) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #3287; RMG #3287 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C7H9(221), C2H4(196); C7H9(221), C5H5(189); -! Matched reaction 13 C7H9-5 <=> C2H4 + C5H5 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-CdCdH] -! family: R_Addition_MultipleBond -C7H9(221)<=>C2H4(196)+C5H5(189) 1.870000e+11 0.680 13.900 - -! Reaction index: Chemkin #3288; RMG #3288 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5R(220), C9H12R(222); C5H7(174), C9H12R(222); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5R(220)+C5H7(174)<=>C9H12R(222) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #3289; RMG #3289 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H8(157), C9H15(223); C5H7(174), C9H15(223); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H8(157)+C5H7(174)<=>C9H15(223) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #3290; RMG #3290 -! Library reaction: restart -! Flux pairs: H(82), C4H7R(60); C4H6R(224), C4H7R(60); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -! Multiplied by reaction path degeneracy 2.0 -H(82)+C4H6R(224)<=>C4H7R(60) 3.251960e+13 0.255 0.000 - -! Reaction index: Chemkin #3291; RMG #3291 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); C[CH]CR(10), CCCR(27); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C4H7R(60)<=>CCCR(27)+C4H6R(224) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3292; RMG #3292 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C4H7R(60)<=>CC(C)L(13)+C4H6R(224) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3293; RMG #3293 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); C[CH]L(8), CCL(26); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C4H7R(60)<=>CCL(26)+C4H6R(224) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3294; RMG #3294 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C4H6R(224)<=>C3H5R(12)+C4H7R(60) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #3295; RMG #3295 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C4H7R(60)<=>CR(22)+C4H6R(224) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3296; RMG #3296 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(17) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #3297; RMG #3297 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -[CH2]CC(195)+C4H6R(224)<=>C3H6(18)+C4H7R(60) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3298; RMG #3298 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C[CH]C(94)+C4H6R(224)<=>C3H6(18)+C4H7R(60) 4.903420e+27 -4.376 6.166 - -! Reaction index: Chemkin #3299; RMG #3299 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C4H6R(224)<=>C2H3L(19)+C4H7R(60) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #3300; RMG #3300 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C8H16L(15)<=>C4H7R(60)+C8H15L(21) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #3301; RMG #3301 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(24) 2.451710e+27 -4.376 6.090 - -! Reaction index: Chemkin #3302; RMG #3302 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(56) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3303; RMG #3303 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(57) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3304; RMG #3304 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C[CH]CR(10)+C4H6R(224)<=>C3H5R(58)+C4H7R(60) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3305; RMG #3305 -! Library reaction: restart -! Flux pairs: C4H6R(224), C4H7R(60); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C4H6R(224)<=>C3H5L(59)+C4H7R(60) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #3306; RMG #3306 -! Library reaction: restart -! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(60) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #3307; RMG #3307 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C7H14R(9)<=>C4H7R(60)+C7H13R(62) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #3308; RMG #3308 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C6H12L(11)<=>C4H7R(60)+C6H11L(63) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #3309; RMG #3309 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C10H20R(64)<=>C4H6R(224)+RC10(2) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3310; RMG #3310 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C[CH]CC(C)L(7)<=>C4H6R(224)+CCCC(C)L(16) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3311; RMG #3311 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C8H16L(15)<=>C4H7R(60)+C8H15L(61) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3312; RMG #3312 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(65)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #3313; RMG #3313 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+[CH2]C(C)CR(6)<=>C4H6R(224)+CC(C)CR(20) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3314; RMG #3314 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C[CH]CC(C)CR(5)<=>C4H6R(224)+CCCC(C)CR(32) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3315; RMG #3315 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C7H14R(9)<=>C4H6R(224)+CC(C)CC(C)CR(23) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3316; RMG #3316 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C6H12L(11)<=>C4H6R(224)+CC(C)CC(C)L(25) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3317; RMG #3317 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C8H16L(15)<=>C4H6R(224)+C8H17L(49) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3318; RMG #3318 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(66)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3319; RMG #3319 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(67)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3320; RMG #3320 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(68)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3321; RMG #3321 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(69)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #3322; RMG #3322 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(70)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3323; RMG #3323 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(71)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3324; RMG #3324 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(72)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #3325; RMG #3325 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C9H17LR(73)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3326; RMG #3326 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); CH3(74), C(75); -! From training reaction 760 used for C/H3/Cd\Cs_Cd\H2;C_methyl -! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C4H7R(60)<=>C(75)+C4H6R(224) 5.940000e-02 4.260 7.550 - -! Reaction index: Chemkin #3327; RMG #3327 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C4H7R(60), C4H6R(224); -! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C10H20L(76)<=>C4H6R(224)+LC10(3) 1.200370e-04 4.665 5.150 - -! Reaction index: Chemkin #3328; RMG #3328 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C5H9L(57)<=>C4H7R(60)+C5H8L(77) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #3329; RMG #3329 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(84), C5H8L(77); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C5H9L(84)<=>C4H7R(60)+C5H8L(77) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3330; RMG #3330 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H5R(12)+C4H6R(224)<=>C3H4R(78)+C4H7R(60) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3331; RMG #3331 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5R(58)+C4H6R(224)<=>C3H4R(78)+C4H7R(60) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3332; RMG #3332 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H7R(60); C4H6R(224), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C4H7R(60)<=>C4H6R(79)+C4H7R(60) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3333; RMG #3333 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(81), C4H7R(60); C4H6R(224), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H6R(224)+C4H7R(81)<=>C4H6R(79)+C4H7R(60) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #3334; RMG #3334 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); H(82), [H][H](83); -! From training reaction 759 used for C/H3/Cd\Cs_Cd\H2;H_rad -! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C4H7R(60)<=>[H][H](83)+C4H6R(224) 2.514000e+03 3.180 4.370 - -! Reaction index: Chemkin #3335; RMG #3335 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C7H15(85)<=>C4H6R(224)+CC(C)CC(C)C(87) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3336; RMG #3336 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C5H9L(24)<=>C4H7R(60)+C5H8L(89) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3337; RMG #3337 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(89); C4H6R(224), C4H7R(60); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C5H9L(57)<=>C4H7R(60)+C5H8L(89) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3338; RMG #3338 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C6H11R(56)<=>C4H7R(60)+C6H10R(90) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #3339; RMG #3339 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(98), C6H10R(90); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H11R(98)<=>C4H7R(60)+C6H10R(90) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3340; RMG #3340 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); C[CH]C(94), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]C(94)+C4H7R(60)<=>CCC(95)+C4H6R(224) 1.008000e-03 4.340 4.700 - -! Reaction index: Chemkin #3341; RMG #3341 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H6(18)+C4H6R(224)<=>C3H5(102)+C4H7R(60) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3342; RMG #3342 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H11L(63)<=>C4H7R(60)+C6H10L(103) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3343; RMG #3343 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(103); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H6R(224)+C6H11L(107)<=>C4H7R(60)+C6H10L(103) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #3344; RMG #3344 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C7H13R(62)<=>C4H7R(60)+C7H12R(108) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3345; RMG #3345 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(108); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -C4H6R(224)+C7H13R(120)<=>C4H7R(60)+C7H12R(108) 1.740000e-02 4.340 13.600 - -! Reaction index: Chemkin #3346; RMG #3346 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C8H15L(61)<=>C4H7R(60)+C8H14L(112) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #3347; RMG #3347 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C6H10(110)<=>C4H7R(60)+C6H9(113) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3348; RMG #3348 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(114); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H10(116)<=>C4H7R(60)+C6H9(114) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3349; RMG #3349 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3350; RMG #3350 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(123); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H8(118)<=>C4H7R(60)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #3351; RMG #3351 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H7(123); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H8(125)<=>C4H7R(60)+C6H7(123) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #3352; RMG #3352 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3353; RMG #3353 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C4H6R(224)+C6H9(160)<=>C4H7R(60)+C6H8(125) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #3354; RMG #3354 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C3H5L(59), C3H4L(147); -! Estimated using average of templates [C/H3/Cd;C_rad/H2/Cd] + [C/H3/Cd\Cs_Cd\H2;C_pri_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5L(59)+C4H6R(224)<=>C3H4L(147)+C4H7R(60) 6.617840e-04 4.615 8.960 - -! Reaction index: Chemkin #3355; RMG #3355 -! Template reaction: H_Abstraction -! Flux pairs: C4H7(156), C4H8(157); C4H7R(60), C4H6R(224); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(60)+C4H7(156)<=>C4H6R(224)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3356; RMG #3356 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(116), C6H9(160); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H10(116)<=>C4H7R(60)+C6H9(160) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3357; RMG #3357 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C6H11L(107)<=>C4H7R(60)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #3358; RMG #3358 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H11R(17)<=>C4H7R(60)+C6H10R(171) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3359; RMG #3359 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(171); C4H6R(224), C4H7R(60); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C6H11R(56)<=>C4H7R(60)+C6H10R(171) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3360; RMG #3360 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C5H8(173)<=>C4H7R(60)+C5H7(174) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3361; RMG #3361 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(180), C5H7(178); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C4H6R(224)+C5H8(180)<=>C4H7R(60)+C5H7(178) 3.616000e-02 4.340 11.200 - -! Reaction index: Chemkin #3362; RMG #3362 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C10H15(183)<=>C4H7R(60)+C10H14(184) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #3363; RMG #3363 -! Library reaction: restart -! Flux pairs: C5H7(178), C5H6(187); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 8.0 -C4H6R(224)+C5H7(178)<=>C4H7R(60)+C5H6(187) 6.191740e+12 0.025 0.000 - -! Reaction index: Chemkin #3364; RMG #3364 -! Template reaction: H_Abstraction -! Flux pairs: C5H6(187), C5H5(189); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C5H6(187)<=>C4H7R(60)+C5H5(189) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #3365; RMG #3365 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C8H13(191)<=>C4H7R(60)+C8H12(194) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #3366; RMG #3366 -! Template reaction: H_Abstraction -! Flux pairs: C4H7R(60), C4H6R(224); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C4H7R(60)<=>CCC(95)+C4H6R(224) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #3367; RMG #3367 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C7H13R(120)<=>C4H7R(60)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #3368; RMG #3368 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C10H13(202)<=>C4H7R(60)+C10H12(201) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3369; RMG #3369 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C10H14(179)<=>C4H7R(60)+C10H13(202) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3370; RMG #3370 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+C5H9L2(203)<=>C4H6R(224)+CC(L)CC(C)L(35) 4.320000e-05 4.520 1.460 - -! Reaction index: Chemkin #3371; RMG #3371 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5L(86)+C4H6R(224)<=>C3H4L(219)+C4H7R(60) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3372; RMG #3372 -! Library reaction: restart -! Flux pairs: C4H6R(224), RC[C]1CC1(225); -! Estimated from node Backbone0 -C4H6R(224)<=>RC[C]1CC1(225) 1.014560e+05 2.304 29.598 - -! Reaction index: Chemkin #3373; RMG #3373 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C11H15(226); C6H8(118), C11H15(226); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H7(174)+C6H8(118)<=>C11H15(226) 2.880000e+01 2.740 3.300 - -! Reaction index: Chemkin #3374; RMG #3374 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(81), C9H14R(227); C5H7(174), C9H14R(227); -! From training reaction 457 used for Cds-CsH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-CsH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H7R(81)+C5H7(174)<=>C9H14R(227) 2.680000e+04 2.410 12.700 - -! Reaction index: Chemkin #3375; RMG #3375 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H6R(224), C9H13LR(228); C5H7L(104), C9H13LR(228); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H6R(224)+C5H7L(104)<=>C9H13LR(228) 5.640000e+04 2.410 8.390 - -! Reaction index: Chemkin #3376; RMG #3376 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H16(229); C6H9(160), C11H16(229); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H9(160)<=>C11H16(229) 7.071720e+16 -1.003 0.000 - -! Reaction index: Chemkin #3377; RMG #3377 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), C7H10L(230); C5H7(174), C7H10L(230); -! From training reaction 6 used for Cds-HH_Cds-CsH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C2H3L(19)+C5H7(174)<=>C7H10L(230) 1.310000e+03 2.620 10.900 - -! Reaction index: Chemkin #3378; RMG #3378 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H15(231); C6H9(160), C9H15(231); -! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H9(160)<=>C9H15(231) 7.720000e+03 2.410 11.370 - -! Reaction index: Chemkin #3379; RMG #3379 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H16R(232); C6H9(161), C10H16R(232); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H9(161)<=>C10H16R(232) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #3380; RMG #3380 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C11H15(233); C6H8(125), C11H15(233); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H7(174)+C6H8(125)<=>C11H15(233) 2.880000e+01 2.740 3.300 - -! Reaction index: Chemkin #3381; RMG #3381 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C11H15(234); C6H8(125), C11H15(234); -! From training reaction 493 used for Cds-CsH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C6H8(125)<=>C11H15(234) 2.720000e+04 2.410 9.870 - -! Reaction index: Chemkin #3382; RMG #3382 -! Library reaction: restart -! Flux pairs: H(82), C11H16(229); C11H15(234), C11H16(229); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C11H15(234)<=>C11H16(229) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #3383; RMG #3383 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H15(234)<=>C3H5R(12)+C11H16(229) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #3384; RMG #3384 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H15(234)<=>C6H11R(17)+C11H16(229) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #3385; RMG #3385 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C11H15(234)<=>C3H6(18)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3386; RMG #3386 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C11H15(234)<=>C3H6(18)+C11H16(229) 2.451710e+27 -4.376 7.519 - -! Reaction index: Chemkin #3387; RMG #3387 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H15(234)<=>C2H3L(19)+C11H16(229) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #3388; RMG #3388 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H15(234)<=>C8H15L(21)+C11H16(229) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #3389; RMG #3389 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H15(234)<=>C5H9L(24)+C11H16(229) 1.225850e+27 -4.376 7.433 - -! Reaction index: Chemkin #3390; RMG #3390 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C11H15(234)<=>C6H11R(56)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3391; RMG #3391 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C11H15(234)<=>C5H9L(57)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3392; RMG #3392 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C11H15(234)<=>C3H5R(58)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3393; RMG #3393 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C11H15(234)<=>C3H5L(59)+C11H16(229) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #3394; RMG #3394 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C11H15(234)<=>C4H7R(60)+C11H16(229) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #3395; RMG #3395 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C11H15(234)<=>C8H15L(61)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3396; RMG #3396 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C11H15(234)<=>C7H13R(62)+C11H16(229) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3397; RMG #3397 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C11H15(234)<=>C6H11L(63)+C11H16(229) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3398; RMG #3398 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H15(234)<=>C6H8(118)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3399; RMG #3399 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C11H15(234)<=>C5H8L(77)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3400; RMG #3400 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C11H16(229)<=>C5H9L(84)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3401; RMG #3401 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C11H16(229)<=>C3H5R(12)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3402; RMG #3402 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C11H16(229)<=>C3H5R(58)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3403; RMG #3403 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C11H16(229)<=>C4H7R(60)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3404; RMG #3404 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C11H16(229)<=>C4H7R(81)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3405; RMG #3405 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C11H15(234)<=>C3H5(102)+C11H16(229) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3406; RMG #3406 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C11H15(234)<=>C6H9(113)+C11H16(229) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3407; RMG #3407 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C11H15(234)<=>C6H9(114)+C11H16(229) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3408; RMG #3408 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H15(234)<=>C6H8(125)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3409; RMG #3409 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C11H15(234)<=>C6H8(125)+C11H16(229) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3410; RMG #3410 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C11H16(229)<=>C3H5L(59)+C11H15(234) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3411; RMG #3411 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C11H15(234)<=>C6H9(160)+C11H16(229) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3412; RMG #3412 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C11H15(234)<=>C5H7(174)+C11H16(229) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3413; RMG #3413 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C11H15(234)<=>C5H7(178)+C11H16(229) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #3414; RMG #3414 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C11H15(234)<=>C10H14(184)+C11H16(229) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #3415; RMG #3415 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C11H15(234)<=>C5H6(187)+C11H16(229) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3416; RMG #3416 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C11H15(234)<=>C8H12(194)+C11H16(229) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #3417; RMG #3417 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C11H15(234)<=>C10H12(201)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3418; RMG #3418 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C11H16(229)<=>C5H9L(24)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3419; RMG #3419 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C11H16(229)<=>C5H9L(57)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3420; RMG #3420 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C11H15(234)<=>C6H10R(90)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3421; RMG #3421 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H10R(90), C6H11R(98); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C11H16(229)<=>C6H11R(98)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3422; RMG #3422 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H10L(103), C6H11L(63); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C11H16(229)<=>C6H11L(63)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3423; RMG #3423 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C11H16(229)<=>C6H11L(107)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3424; RMG #3424 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C7H12R(108), C7H13R(62); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C11H16(229)<=>C7H13R(62)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3425; RMG #3425 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C11H16(229)<=>C7H13R(120)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3426; RMG #3426 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C11H15(234)<=>C6H10L(169)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3427; RMG #3427 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C7H13R(120), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C11H15(234)<=>C7H12R(199)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #3428; RMG #3428 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C11H16(229)<=>C4H7R(60)+C11H15(234) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3429; RMG #3429 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H15(234)<=>C9H17LR(65)+C11H16(229) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3430; RMG #3430 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H15(234)<=>C9H17LR(69)+C11H16(229) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3431; RMG #3431 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3432; RMG #3432 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3433; RMG #3433 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H15(234)<=>C9H17LR(72)+C11H16(229) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #3434; RMG #3434 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3435; RMG #3435 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3436; RMG #3436 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3437; RMG #3437 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3438; RMG #3438 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C11H16(229)<=>CC(C)L(13)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3439; RMG #3439 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C11H16(229)<=>CCCC(C)L(16)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3440; RMG #3440 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H10R(171), C6H11R(17); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C11H16(229)<=>C6H11R(17)+C11H15(234) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #3441; RMG #3441 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C11H16(229)<=>CC(C)CR(20)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3442; RMG #3442 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C11H16(229)<=>CR(22)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3443; RMG #3443 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C11H16(229)<=>CC(C)CC(C)CR(23)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3444; RMG #3444 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C11H16(229)<=>CC(C)CC(C)L(25)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3445; RMG #3445 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C11H16(229)<=>CCL(26)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3446; RMG #3446 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C11H16(229)<=>CCCR(27)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3447; RMG #3447 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C11H16(229)<=>CCCC(C)CR(32)+C11H15(234) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3448; RMG #3448 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C11H16(229)<=>C6H11R(56)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3449; RMG #3449 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C11H15(234)<=>CH3(74)+C11H16(229) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #3450; RMG #3450 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C11H15(234)<=>C[CH]C(94)+C11H16(229) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #3451; RMG #3451 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C11H16(229)<=>CCC(95)+C11H15(234) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3452; RMG #3452 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C11H15(234)<=>C6H7(123)+C11H16(229) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #3453; RMG #3453 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C11H15(234)<=>C6H7(123)+C11H16(229) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #3454; RMG #3454 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C11H16(229)<=>C4H8(157)+C11H15(234) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #3455; RMG #3455 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7(174), C10H15(235); C5H8(173), C10H15(235); -! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7(174)+C5H8(173)<=>C10H15(235) 2.380000e+04 2.410 10.290 - -! Reaction index: Chemkin #3456; RMG #3456 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C8H11LR(236); C4H6R(224), C8H11LR(236); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C4H6R(224)<=>C8H11LR(236) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #3457; RMG #3457 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C7H12L(237); C4H7(156), C7H12L(237); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C4H7(156)<=>C7H12L(237) 5.580000e+04 2.410 11.220 - -! Reaction index: Chemkin #3458; RMG #3458 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H8(173), C11H17(238); C6H9(113), C11H17(238); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H8(173)+C6H9(113)<=>C11H17(238) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #3459; RMG #3459 -! Template reaction: R_Recombination -! Flux pairs: H(82), C6H8(118); C6H7(239), C6H8(118); -! Matched reaction 15 C6H7-3 + H <=> C6H8-4 in R_Recombination/training -! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_3C-inRing_Ext-4R!H-R_Ext-5R!H-R_N-Sp-6R!H-5R!H] -! family: R_Recombination -H(82)+C6H7(239)<=>C6H8(118) 3.156000e+12 0.461 -0.001 - -! Reaction index: Chemkin #3460; RMG #3460 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H8(118)<=>CC(C)CR(20)+C6H7(239) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3461; RMG #3461 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C[CH]CR(10), CCCR(27); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C6H8(118)<=>CCCR(27)+C6H7(239) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3462; RMG #3462 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3463; RMG #3463 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H8(118)<=>CC(C)L(13)+C6H7(239) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3464; RMG #3464 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3465; RMG #3465 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H8(118)<=>CCCC(C)L(16)+C6H7(239) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3466; RMG #3466 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C6H8(118)<=>CCL(26)+C6H7(239) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3467; RMG #3467 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3468; RMG #3468 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(118) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #3469; RMG #3469 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C6H8(118)<=>CR(22)+C6H7(239) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3470; RMG #3470 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(17) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #3471; RMG #3471 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3472; RMG #3472 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(118) 2.451710e+27 -4.376 8.092 - -! Reaction index: Chemkin #3473; RMG #3473 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(118) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #3474; RMG #3474 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H16L(15)<=>C6H8(118)+C8H15L(21) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #3475; RMG #3475 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(118) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #3476; RMG #3476 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3477; RMG #3477 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3478; RMG #3478 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3479; RMG #3479 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(118) 7.830000e+11 0.000 0.211 - -! Reaction index: Chemkin #3480; RMG #3480 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(118) 7.830000e+11 0.000 0.211 - -! Reaction index: Chemkin #3481; RMG #3481 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C8H16L(15)<=>C6H8(118)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3482; RMG #3482 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H7(239)+C7H14R(9)<=>C6H8(118)+C7H13R(62) 7.830000e+11 0.000 0.172 - -! Reaction index: Chemkin #3483; RMG #3483 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H7(239)+C6H12L(11)<=>C6H8(118)+C6H11L(63) 7.830000e+11 0.000 0.172 - -! Reaction index: Chemkin #3484; RMG #3484 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(65)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856 - -! Reaction index: Chemkin #3485; RMG #3485 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3486; RMG #3486 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3487; RMG #3487 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3488; RMG #3488 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(69)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856 - -! Reaction index: Chemkin #3489; RMG #3489 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3490; RMG #3490 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3491; RMG #3491 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(72)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856 - -! Reaction index: Chemkin #3492; RMG #3492 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3493; RMG #3493 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); CH3(74), C(75); -! Estimated using template [C/H3/Cd;C_methyl] for rate rule [2_methyl_CPD;C_methyl] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C6H8(118)<=>C(75)+C6H7(239) 6.752800e-02 4.253 7.537 - -! Reaction index: Chemkin #3494; RMG #3494 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H8L(77), C5H9L(57); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(77)+C6H8(118)<=>C5H9L(57)+C6H7(239) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #3495; RMG #3495 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H8L(77), C5H9L(84); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(77)+C6H8(118)<=>C5H9L(84)+C6H7(239) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3496; RMG #3496 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C3H4R(78), C3H5R(12); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H8(118)<=>C3H5R(12)+C6H7(239) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3497; RMG #3497 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C3H4R(78), C3H5R(58); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H8(118)<=>C3H5R(58)+C6H7(239) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3498; RMG #3498 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C4H6R(79), C4H7R(60); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H8(118)<=>C4H7R(60)+C6H7(239) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3499; RMG #3499 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C4H6R(79), C4H7R(81); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H8(118)<=>C4H7R(81)+C6H7(239) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3500; RMG #3500 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3501; RMG #3501 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H8L(89), C5H9L(24); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H8(118)<=>C5H9L(24)+C6H7(239) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3502; RMG #3502 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H8L(89), C5H9L(57); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H8(118)<=>C5H9L(57)+C6H7(239) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3503; RMG #3503 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(56); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10R(90)<=>C6H7(239)+C6H11R(56) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #3504; RMG #3504 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3505; RMG #3505 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C[CH]C(94), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [2_methyl_CPD;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]C(94)+C6H8(118)<=>CCC(95)+C6H7(239) 1.008000e-03 4.340 4.700 - -! Reaction index: Chemkin #3506; RMG #3506 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C3H5(102), C3H6(18); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H5(102)+C6H8(118)<=>C3H6(18)+C6H7(239) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3507; RMG #3507 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3508; RMG #3508 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3509; RMG #3509 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3510; RMG #3510 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3511; RMG #3511 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C8H14L(112)<=>C6H7(239)+C8H15L(61) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #3512; RMG #3512 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C6H7(239), C6H8(118); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H7(239)+C6H10(110)<=>C6H8(118)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3513; RMG #3513 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H9(114)<=>C6H7(239)+C6H10(116) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3514; RMG #3514 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(118)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3515; RMG #3515 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3516; RMG #3516 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C10H20R(64)<=>C6H7(239)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3517; RMG #3517 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C10H20L(76)<=>C6H7(239)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #3518; RMG #3518 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); H(82), [H][H](83); -! Estimated using template [C/H3/Cd;H_rad] for rate rule [2_methyl_CPD;H_rad] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C6H8(118)<=>[H][H](83)+C6H7(239) 3.050340e+03 3.153 4.317 - -! Reaction index: Chemkin #3519; RMG #3519 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H8(118); C6H7(123), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H7(123)+C6H8(118)<=>C6H7(239)+C6H8(118) 6.780000e-03 4.340 19.700 - -! Reaction index: Chemkin #3520; RMG #3520 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H8(125); C6H7(123), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H7(123)+C6H8(118)<=>C6H7(239)+C6H8(125) 6.780000e-03 4.340 19.700 - -! Reaction index: Chemkin #3521; RMG #3521 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(118)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3522; RMG #3522 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(239)+C6H9(160)<=>C6H8(118)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3523; RMG #3523 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C3H4L(147), C3H5L(59); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C6H8(118)<=>C3H5L(59)+C6H7(239) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3524; RMG #3524 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C6H8(118)<=>C4H8(157)+C6H7(239) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3525; RMG #3525 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H8(118)+C6H9(160)<=>C6H7(239)+C6H10(116) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #3526; RMG #3526 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(169), C6H11L(107); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10L(169)<=>C6H7(239)+C6H11L(107) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #3527; RMG #3527 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3528; RMG #3528 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3529; RMG #3529 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(118); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H7(239)<=>C5H7(174)+C6H8(118) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3530; RMG #3530 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H7(178), C5H8(180); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H7(178)+C6H8(118)<=>C5H8(180)+C6H7(239) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #3531; RMG #3531 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H15(183)<=>C6H8(118)+C10H14(184) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #3532; RMG #3532 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3533; RMG #3533 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H5(189), C5H6(187); -! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 15.0 -! family: H_Abstraction -C5H5(189)+C6H8(118)<=>C5H6(187)+C6H7(239) 1.695000e-02 4.340 19.700 - -! Reaction index: Chemkin #3534; RMG #3534 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H13(191)<=>C6H8(118)+C8H12(194) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #3535; RMG #3535 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C6H8(118)<=>CCC(95)+C6H7(239) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #3536; RMG #3536 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H12R(199)<=>C6H7(239)+C7H13R(120) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #3537; RMG #3537 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H13(202)<=>C6H8(118)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3538; RMG #3538 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C10H13(202)<=>C6H7(239)+C10H14(179) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3539; RMG #3539 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H9L2(203)+C6H8(118)<=>CC(L)CC(C)L(35)+C6H7(239) 2.568460e-04 4.418 3.856 - -! Reaction index: Chemkin #3540; RMG #3540 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C3H4L(219), C3H5L(86); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C6H8(118)<=>C3H5L(86)+C6H7(239) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #3541; RMG #3541 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C4H6R(224), C4H7R(60); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C6H8(118)<=>C4H7R(60)+C6H7(239) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #3542; RMG #3542 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C11H15(234)<=>C6H7(239)+C11H16(229) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #3543; RMG #3543 -! Library reaction: restart -! Flux pairs: C4H6R(224), C10H13R(240); C6H7(239), C10H13R(240); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C6H7(239)<=>C10H13R(240) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3544; RMG #3544 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H12L(241); C6H7(239), C9H12L(241); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H7(239)<=>C9H12L(241) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #3545; RMG #3545 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H4(196), C8H11(242); C6H7(239), C8H11(242); -! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH -! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -! Ea raised from 19.0 to 20.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 20.1 to 20.1 kJ/mol to match endothermicity of reaction. -C2H4(196)+C6H7(239)<=>C8H11(242) 2.971820e+02 2.951 4.811 - -! Reaction index: Chemkin #3546; RMG #3546 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H12L(243); C6H7(239), C10H12L(243); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H7(239)<=>C10H12L(243) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #3547; RMG #3547 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(244); C6H7(239), C12H14(244); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H7(239)<=>C12H14(244) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3548; RMG #3548 -! Library reaction: restart -! Flux pairs: C9H12L(241), C9H12L(245); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C9H12L(241)<=>C9H12L(245) 1.260000e+11 0.160 5.938 - -! Reaction index: Chemkin #3549; RMG #3549 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(246); C6H7(239), C11H14(246); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H7(239)<=>C11H14(246) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3550; RMG #3550 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H14R(247); C6H7(239), C10H14R(247); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H7(239)<=>C10H14R(247) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #3551; RMG #3551 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H14L(248); C6H7(239), C11H14L(248); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H7(239)<=>C11H14L(248) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #3552; RMG #3552 -! Library reaction: restart -! Flux pairs: C10H12L(243), C10H12L(249); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C10H12L(243)<=>C10H12L(249) 1.260000e+11 0.160 11.046 - -! Reaction index: Chemkin #3553; RMG #3553 -! Library reaction: restart -! Flux pairs: C10H14R(247), C10H14R(250); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C10H14R(247)<=>C10H14R(250) 1.260000e+11 0.160 5.938 - -! Reaction index: Chemkin #3554; RMG #3554 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(251); C6H7(239), C11H14(251); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H7(239)<=>C11H14(251) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3555; RMG #3555 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H7(123); C6H6(252), C6H7(123); -! Matched reaction 63 C6H6 + H <=> C6H7-4 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-HH_Cds-CdCd;HJ] -! family: R_Addition_MultipleBond -H(82)+C6H6(252)<=>C6H7(123) 1.031000e+09 1.339 -0.477 - -! Reaction index: Chemkin #3556; RMG #3556 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C6H7(123)<=>C5H8(173)+C6H6(252) 2.451710e+27 -4.376 12.126 - -! Reaction index: Chemkin #3557; RMG #3557 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C6H7(123)<=>C5H8(180)+C6H6(252) 2.451710e+27 -4.376 11.389 - -! Reaction index: Chemkin #3558; RMG #3558 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H7(239); C6H6(252), C6H7(239); -! Matched reaction 66 C6H6-4 + H <=> C6H7-7 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-CdH_Cds-CdH_cyc5_2;HJ] -! family: R_Addition_MultipleBond -H(82)+C6H6(252)<=>C6H7(239) 2.022000e+09 1.369 2.244 - -! Reaction index: Chemkin #3559; RMG #3559 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C6H7(239)<=>CCL(26)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3560; RMG #3560 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H7(239)<=>C5H9L(57)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3561; RMG #3561 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H7(239)<=>C5H9L(84)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3562; RMG #3562 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H7(123)<=>C3H5R(12)+C6H6(252) 1.225850e+27 -4.376 10.481 - -! Reaction index: Chemkin #3563; RMG #3563 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H7(123)<=>C3H5R(58)+C6H6(252) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3564; RMG #3564 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H7(239)<=>C3H5R(12)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3565; RMG #3565 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H7(239)<=>C3H5R(58)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3566; RMG #3566 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H7(239)<=>C4H7R(60)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3567; RMG #3567 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H7(239)<=>C4H7R(81)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3568; RMG #3568 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(90)<=>C6H6(252)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3569; RMG #3569 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(90)<=>C6H6(252)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3570; RMG #3570 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C6H7(239)<=>C3H6(18)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3571; RMG #3571 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(113)<=>C6H6(252)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3572; RMG #3572 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C6H7(239)<=>C3H5L(59)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3573; RMG #3573 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C6H7(239)<=>C4H8(157)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3574; RMG #3574 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H7(239)<=>C5H8(173)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3575; RMG #3575 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C6H7(239)<=>C5H6(187)+C6H6(252) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #3576; RMG #3576 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C6H7(239)<=>C4H7R(60)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3577; RMG #3577 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3578; RMG #3578 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H7(239)<=>C5H9L(24)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3579; RMG #3579 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H7(239)<=>C5H9L(57)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3580; RMG #3580 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10L(103)<=>C6H6(252)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3581; RMG #3581 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10L(103)<=>C6H6(252)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3582; RMG #3582 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H12R(108)<=>C6H6(252)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3583; RMG #3583 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H12R(108)<=>C6H6(252)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3584; RMG #3584 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H6(252)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3585; RMG #3585 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(239)+C6H9(160)<=>C6H6(252)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3586; RMG #3586 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10L(169)<=>C6H6(252)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3587; RMG #3587 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H7(239)<=>C5H8(180)+C6H6(252) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3588; RMG #3588 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H12R(199)<=>C6H6(252)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3589; RMG #3589 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C6H7(239)<=>C3H5L(86)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3590; RMG #3590 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(65)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3591; RMG #3591 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(65)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445 - -! Reaction index: Chemkin #3592; RMG #3592 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(69)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3593; RMG #3593 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(69)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445 - -! Reaction index: Chemkin #3594; RMG #3594 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(66)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3595; RMG #3595 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(66)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3596; RMG #3596 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(68)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3597; RMG #3597 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(68)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3598; RMG #3598 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(72)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3599; RMG #3599 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(72)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445 - -! Reaction index: Chemkin #3600; RMG #3600 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(73)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3601; RMG #3601 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(73)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3602; RMG #3602 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(71)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3603; RMG #3603 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(71)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3604; RMG #3604 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(67)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3605; RMG #3605 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(67)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3606; RMG #3606 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H17LR(70)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3607; RMG #3607 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C9H17LR(70)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3608; RMG #3608 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H20R(64)<=>C6H6(252)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3609; RMG #3609 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C10H20R(64)<=>C6H6(252)+RC10(2) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3610; RMG #3610 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H20L(76)<=>C6H6(252)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3611; RMG #3611 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C10H20L(76)<=>C6H6(252)+LC10(3) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3612; RMG #3612 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H7(239)<=>CC(C)L(13)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3613; RMG #3613 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C6H7(123)<=>CC(C)L(13)+C6H6(252) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3614; RMG #3614 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H7(239)<=>CCCC(C)L(16)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3615; RMG #3615 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H7(123)<=>CCCC(C)L(16)+C6H6(252) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3616; RMG #3616 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(171)<=>C6H6(252)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3617; RMG #3617 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10R(171)<=>C6H6(252)+C6H11R(17) 1.225850e+27 -4.376 10.646 - -! Reaction index: Chemkin #3618; RMG #3618 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C6H7(123)<=>C3H6(18)+C6H6(252) 2.451710e+27 -4.376 9.658 - -! Reaction index: Chemkin #3619; RMG #3619 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H7(239)<=>CC(C)CR(20)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3620; RMG #3620 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C6H7(123)<=>CC(C)CR(20)+C6H6(252) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3621; RMG #3621 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C6H7(239)<=>CR(22)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3622; RMG #3622 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C6H7(123)<=>CR(22)+C6H6(252) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3623; RMG #3623 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H14R(9)<=>C6H6(252)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3624; RMG #3624 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H14R(9)<=>C6H6(252)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3625; RMG #3625 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H7(123)<=>C5H9L(24)+C6H6(252) 1.225850e+27 -4.376 10.646 - -! Reaction index: Chemkin #3626; RMG #3626 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H12L(11)<=>C6H6(252)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3627; RMG #3627 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H12L(11)<=>C6H6(252)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3628; RMG #3628 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H7(123)<=>CCL(26)+C6H6(252) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3629; RMG #3629 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H7(239)<=>CCCR(27)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3630; RMG #3630 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H7(123)<=>CCCR(27)+C6H6(252) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3631; RMG #3631 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H6(252)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3632; RMG #3632 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C[CH]CC(C)CR(5)<=>C6H6(252)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3633; RMG #3633 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C6H7(239)<=>CC(L)CC(C)L(35)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3634; RMG #3634 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C6H7(123)<=>CC(L)CC(C)L(35)+C6H6(252) 1.225850e+27 -4.376 7.445 - -! Reaction index: Chemkin #3635; RMG #3635 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C8H16L(15)<=>C6H6(252)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3636; RMG #3636 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C8H16L(15)<=>C6H6(252)+C8H17L(49) 1.225850e+27 -4.376 6.982 - -! Reaction index: Chemkin #3637; RMG #3637 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10R(90)<=>C6H6(252)+C6H11R(56) 1.225850e+27 -4.376 11.046 - -! Reaction index: Chemkin #3638; RMG #3638 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(171)<=>C6H6(252)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3639; RMG #3639 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10R(171)<=>C6H6(252)+C6H11R(56) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3640; RMG #3640 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H7(123)<=>C5H9L(57)+C6H6(252) 1.225850e+27 -4.376 11.046 - -! Reaction index: Chemkin #3641; RMG #3641 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H7(123)<=>C5H9L(57)+C6H6(252) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3642; RMG #3642 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C6H7(123)<=>C3H5L(59)+C6H6(252) 2.451710e+27 -4.376 9.625 - -! Reaction index: Chemkin #3643; RMG #3643 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C6H7(123)<=>C4H7R(60)+C6H6(252) 2.451710e+27 -4.376 9.625 - -! Reaction index: Chemkin #3644; RMG #3644 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H7(123)<=>C4H7R(60)+C6H6(252) 1.225850e+27 -4.376 10.481 - -! Reaction index: Chemkin #3645; RMG #3645 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C8H14L(112)<=>C6H6(252)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3646; RMG #3646 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C8H14L(112)<=>C6H6(252)+C8H15L(61) 1.225850e+27 -4.376 11.046 - -! Reaction index: Chemkin #3647; RMG #3647 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H12R(108)<=>C6H6(252)+C7H13R(62) 1.225850e+27 -4.376 10.646 - -! Reaction index: Chemkin #3648; RMG #3648 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10L(103)<=>C6H6(252)+C6H11L(63) 1.225850e+27 -4.376 10.646 - -! Reaction index: Chemkin #3649; RMG #3649 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H7(239)<=>C(75)+C6H6(252) 1.150000e+13 -0.320 0.119 -DUPLICATE - -! Reaction index: Chemkin #3650; RMG #3650 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C6H7(123)<=>C(75)+C6H6(252) 1.225850e+27 -4.376 5.544 - -! Reaction index: Chemkin #3651; RMG #3651 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H7(239)<=>C(75)+C6H6(252) 9.124700e+12 -0.160 0.119 -DUPLICATE - -! Reaction index: Chemkin #3652; RMG #3652 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H7(123)<=>C4H7R(81)+C6H6(252) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3653; RMG #3653 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H7(239)<=>[H][H](83)+C6H6(252) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #3654; RMG #3654 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C6H7(123)<=>[H][H](83)+C6H6(252) 1.225850e+27 -4.376 5.722 - -! Reaction index: Chemkin #3655; RMG #3655 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H7(123)<=>C5H9L(84)+C6H6(252) 1.225850e+27 -4.376 10.631 - -! Reaction index: Chemkin #3656; RMG #3656 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C6H7(123)<=>C3H5L(86)+C6H6(252) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3657; RMG #3657 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H15(85)<=>C6H6(252)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3658; RMG #3658 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H15(85)<=>C6H6(252)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 6.383 - -! Reaction index: Chemkin #3659; RMG #3659 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C6H7(239)<=>CCC(95)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3660; RMG #3660 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C6H7(123)<=>CCC(95)+C6H6(252) 1.225850e+27 -4.376 6.958 - -! Reaction index: Chemkin #3661; RMG #3661 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H6(252); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H7(239)<=>CCC(95)+C6H6(252) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3662; RMG #3662 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C6H7(123)<=>CCC(95)+C6H6(252) 1.225850e+27 -4.376 6.278 - -! Reaction index: Chemkin #3663; RMG #3663 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10R(90)<=>C6H6(252)+C6H11R(98) 1.225850e+27 -4.376 10.631 - -! Reaction index: Chemkin #3664; RMG #3664 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10L(169)<=>C6H6(252)+C6H11L(107) 1.225850e+27 -4.376 11.046 - -! Reaction index: Chemkin #3665; RMG #3665 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10L(103)<=>C6H6(252)+C6H11L(107) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3666; RMG #3666 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H9(113)<=>C6H6(252)+C6H10(110) 1.225850e+27 -4.376 12.241 - -! Reaction index: Chemkin #3667; RMG #3667 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C6H9(160)<=>C6H6(252)+C6H10(116) 2.451710e+27 -4.376 11.389 - -! Reaction index: Chemkin #3668; RMG #3668 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H9(114)<=>C6H6(252)+C6H10(116) 1.225850e+27 -4.376 11.389 - -! Reaction index: Chemkin #3669; RMG #3669 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 3.095870e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #3670; RMG #3670 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C6H7(123)<=>C6H6(252)+C6H8(118) 4.903420e+27 -4.376 10.607 - -! Reaction index: Chemkin #3671; RMG #3671 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.225850e+27 -4.376 12.126 -DUPLICATE - -! Reaction index: Chemkin #3672; RMG #3672 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H12R(199)<=>C6H6(252)+C7H13R(120) 1.225850e+27 -4.376 11.046 - -! Reaction index: Chemkin #3673; RMG #3673 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H12R(108)<=>C6H6(252)+C7H13R(120) 1.225850e+27 -4.376 9.625 - -! Reaction index: Chemkin #3674; RMG #3674 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(125); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #3675; RMG #3675 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C6H7(123)<=>C6H6(252)+C6H8(125) 4.903420e+27 -4.376 10.713 - -! Reaction index: Chemkin #3676; RMG #3676 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C6H7(123)<=>C4H8(157)+C6H6(252) 2.451710e+27 -4.376 9.245 - -! Reaction index: Chemkin #3677; RMG #3677 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H6(252); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C6H7(123)<=>C5H6(187)+C6H6(252) 6.129270e+27 -4.376 10.585 - -! Reaction index: Chemkin #3678; RMG #3678 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H13(202)<=>C6H6(252)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3679; RMG #3679 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C10H13(202)<=>C6H6(252)+C10H14(179) 1.225850e+27 -4.376 11.468 - -! Reaction index: Chemkin #3680; RMG #3680 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H15(234)<=>C6H6(252)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #3681; RMG #3681 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C11H15(234)<=>C6H6(252)+C11H16(229) 1.225850e+27 -4.376 11.389 - -! Reaction index: Chemkin #3682; RMG #3682 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H15L2(253); C6H10L(103), C9H15L2(253); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H10L(103)<=>C9H15L2(253) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #3683; RMG #3683 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(254); C6H7(239), C12H14(254); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H7(239)<=>C12H14(254) 2.500000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3684; RMG #3684 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(255); C6H7(239), C12H14(255); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H7(239)<=>C12H14(255) 2.500000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3685; RMG #3685 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H8(173), C11H15(256); C6H7(239), C11H15(256); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H8(173)+C6H7(239)<=>C11H15(256) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #3686; RMG #3686 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(257); C6H7(239), C12H14(257); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H7(239)<=>C12H14(257) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3687; RMG #3687 -! Library reaction: restart -! Flux pairs: C11H14L(248), C11H14L(258); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C11H14L(248)<=>C11H14L(258) 1.260000e+11 0.160 12.012 - -! Reaction index: Chemkin #3688; RMG #3688 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C10H14(179)<=>CCCC(C)L(16)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3689; RMG #3689 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C10H14(179)<=>CC(C)CC(C)CR(23)+C10H13(202) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #3690; RMG #3690 -! Template reaction: H_Abstraction -! Flux pairs: C10H14(179), C10H13(202); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C10H14(179)<=>CCCC(C)CR(32)+C10H13(202) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #3691; RMG #3691 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C11H15(234)<=>C5H9L2(203)+C11H16(229) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #3692; RMG #3692 -! Template reaction: H_Abstraction -! Flux pairs: C11H16(229), C11H15(234); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C11H16(229)<=>C3H5L(86)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #3693; RMG #3693 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H18L(259); C6H11L(63), C12H18L(259); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H11L(63)<=>C12H18L(259) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #3694; RMG #3694 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H13(260); C6H7(239), C9H13(260); -! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H7(239)<=>C9H13(260) 3.860000e+03 2.410 11.370 - -! Reaction index: Chemkin #3695; RMG #3695 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(261); C6H7(239), C12H14(261); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H7(239)<=>C12H14(261) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3696; RMG #3696 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 3.095870e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #3697; RMG #3697 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.225850e+27 -4.376 12.126 -DUPLICATE - -! Reaction index: Chemkin #3698; RMG #3698 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C5H8L(77); C5H7L(262), C5H8L(77); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C5H7L(262)<=>C5H8L(77) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #3699; RMG #3699 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C5H8L(77)<=>CCCR(27)+C5H7L(262) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3700; RMG #3700 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C5H8L(77)<=>CCL(26)+C5H7L(262) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3701; RMG #3701 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #3702; RMG #3702 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C5H8L(77)<=>C5H7L(262)+C5H9L(84) 1.225850e+27 -4.376 9.545 - -! Reaction index: Chemkin #3703; RMG #3703 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C5H8L(77)<=>C3H5R(12)+C5H7L(262) 1.225850e+27 -4.376 9.405 - -! Reaction index: Chemkin #3704; RMG #3704 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C5H8L(77)<=>C3H5R(58)+C5H7L(262) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3705; RMG #3705 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C5H8L(77)<=>C4H7R(60)+C5H7L(262) 1.225850e+27 -4.376 9.405 - -! Reaction index: Chemkin #3706; RMG #3706 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C5H8L(77)<=>C4H7R(81)+C5H7L(262) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3707; RMG #3707 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H15(85)<=>C5H7L(262)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3708; RMG #3708 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C5H8L(89); C5H7L(262), C5H8L(89); -! From training reaction 2570 used for Cds-CsCs_Cds-CdH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C5H7L(262)<=>C5H8L(89) 7.170000e+07 1.640 1.180 - -! Reaction index: Chemkin #3709; RMG #3709 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 5.258140e+13 -0.550 0.671 -DUPLICATE - -! Reaction index: Chemkin #3710; RMG #3710 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(84); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(84) 5.258140e+13 -0.550 0.547 - -! Reaction index: Chemkin #3711; RMG #3711 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(24); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(24) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #3712; RMG #3712 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 8.605 -DUPLICATE - -! Reaction index: Chemkin #3713; RMG #3713 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+C5H8L(89)<=>C3H5R(12)+C5H7L(262) 5.258140e+13 -0.550 0.505 - -! Reaction index: Chemkin #3714; RMG #3714 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+C5H8L(89)<=>C3H5R(58)+C5H7L(262) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3715; RMG #3715 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+C5H8L(89)<=>C4H7R(60)+C5H7L(262) 5.258140e+13 -0.550 0.505 - -! Reaction index: Chemkin #3716; RMG #3716 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+C5H8L(89)<=>C4H7R(81)+C5H7L(262) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3717; RMG #3717 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(24); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C5H8L(89)<=>C5H7L(262)+C5H9L(24) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #3718; RMG #3718 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H9L(57); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C5H8L(89)<=>C5H7L(262)+C5H9L(57) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3719; RMG #3719 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(90)<=>C5H7L(262)+C6H11R(56) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #3720; RMG #3720 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(90)<=>C5H7L(262)+C6H11R(98) 1.225850e+27 -4.376 9.545 - -! Reaction index: Chemkin #3721; RMG #3721 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10R(90)<=>C5H7L(262)+C6H11R(56) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #3722; RMG #3722 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10R(90)<=>C5H7L(262)+C6H11R(98) 5.258140e+13 -0.550 0.547 - -! Reaction index: Chemkin #3723; RMG #3723 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C5H8L(77)<=>C3H6(18)+C5H7L(262) 2.451710e+27 -4.376 8.636 - -! Reaction index: Chemkin #3724; RMG #3724 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C5H8L(89)<=>C3H6(18)+C5H7L(262) 1.566000e+12 0.000 0.301 - -! Reaction index: Chemkin #3725; RMG #3725 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10L(103)<=>C5H7L(262)+C6H11L(63) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #3726; RMG #3726 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10L(103)<=>C5H7L(262)+C6H11L(107) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3727; RMG #3727 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10L(103)<=>C5H7L(262)+C6H11L(63) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #3728; RMG #3728 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H10L(103)<=>C5H7L(262)+C6H11L(107) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3729; RMG #3729 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H12R(108)<=>C5H7L(262)+C7H13R(62) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #3730; RMG #3730 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H12R(108)<=>C5H7L(262)+C7H13R(120) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3731; RMG #3731 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C7H12R(108)<=>C5H7L(262)+C7H13R(62) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #3732; RMG #3732 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C7H12R(108)<=>C5H7L(262)+C7H13R(120) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3733; RMG #3733 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H9(113)<=>C5H7L(262)+C6H10(110) 1.225850e+27 -4.376 11.055 - -! Reaction index: Chemkin #3734; RMG #3734 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H9(114)<=>C5H7L(262)+C6H10(116) 1.225850e+27 -4.376 10.255 - -! Reaction index: Chemkin #3735; RMG #3735 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H9(113)<=>C5H7L(262)+C6H10(110) 7.830000e+11 0.000 1.085 - -! Reaction index: Chemkin #3736; RMG #3736 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H9(114)<=>C5H7L(262)+C6H10(116) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #3737; RMG #3737 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C5H8L(77)<=>C3H5L(59)+C5H7L(262) 2.451710e+27 -4.376 8.605 - -! Reaction index: Chemkin #3738; RMG #3738 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C5H8L(77)<=>C4H8(157)+C5H7L(262) 2.451710e+27 -4.376 8.251 - -! Reaction index: Chemkin #3739; RMG #3739 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H8(173); C5H7(174), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C5H8L(77)<=>C5H7L(262)+C5H8(173) 2.451710e+27 -4.376 10.947 - -! Reaction index: Chemkin #3740; RMG #3740 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H8(173); C5H7(174), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C5H8L(89)<=>C5H7L(262)+C5H8(173) 1.566000e+12 0.000 1.042 - -! Reaction index: Chemkin #3741; RMG #3741 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H8(180); C5H7(178), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C5H8L(77)<=>C5H7L(262)+C5H8(180) 2.451710e+27 -4.376 10.255 - -! Reaction index: Chemkin #3742; RMG #3742 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H8(180); C5H7(178), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C5H8L(89)<=>C5H7L(262)+C5H8(180) 1.051630e+14 -0.550 0.781 - -! Reaction index: Chemkin #3743; RMG #3743 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C5H8L(77)<=>C5H6(187)+C5H7L(262) 6.129270e+27 -4.376 9.503 - -! Reaction index: Chemkin #3744; RMG #3744 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C5H8L(77)<=>C4H7R(60)+C5H7L(262) 2.451710e+27 -4.376 8.605 - -! Reaction index: Chemkin #3745; RMG #3745 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(118) 1.225850e+27 -4.376 10.947 - -! Reaction index: Chemkin #3746; RMG #3746 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(118); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(118) 7.830000e+11 0.000 1.042 - -! Reaction index: Chemkin #3747; RMG #3747 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(65)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3748; RMG #3748 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(65)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578 - -! Reaction index: Chemkin #3749; RMG #3749 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(69)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3750; RMG #3750 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(69)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578 - -! Reaction index: Chemkin #3751; RMG #3751 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(66)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3752; RMG #3752 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(66)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3753; RMG #3753 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(68)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3754; RMG #3754 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(68)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3755; RMG #3755 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(72)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3756; RMG #3756 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(72)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578 - -! Reaction index: Chemkin #3757; RMG #3757 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C9H17LR(73)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3758; RMG #3758 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(73)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3759; RMG #3759 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C9H17LR(71)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3760; RMG #3760 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(71)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3761; RMG #3761 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C9H17LR(67)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3762; RMG #3762 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(67)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3763; RMG #3763 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C9H17LR(70)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3764; RMG #3764 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H17LR(70)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3765; RMG #3765 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C10H20R(64)<=>C5H7L(262)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3766; RMG #3766 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H20R(64)<=>C5H7L(262)+RC10(2) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3767; RMG #3767 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C10H20L(76)<=>C5H7L(262)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3768; RMG #3768 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H20L(76)<=>C5H7L(262)+LC10(3) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3769; RMG #3769 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C5H8L(89)<=>CC(C)L(13)+C5H7L(262) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3770; RMG #3770 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C5H8L(77)<=>CC(C)L(13)+C5H7L(262) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3771; RMG #3771 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C[CH]CC(C)L(7)<=>C5H7L(262)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3772; RMG #3772 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)L(7)<=>C5H7L(262)+CCCC(C)L(16) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3773; RMG #3773 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10R(171)<=>C5H7L(262)+C6H11R(17) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #3774; RMG #3774 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(171)<=>C5H7L(262)+C6H11R(17) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #3775; RMG #3775 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C5H8L(89)<=>CC(C)CR(20)+C5H7L(262) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3776; RMG #3776 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C5H8L(77)<=>CC(C)CR(20)+C5H7L(262) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3777; RMG #3777 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+C5H8L(89)<=>CR(22)+C5H7L(262) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3778; RMG #3778 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C5H8L(77)<=>CR(22)+C5H7L(262) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3779; RMG #3779 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C7H14R(9)<=>C5H7L(262)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3780; RMG #3780 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H14R(9)<=>C5H7L(262)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3781; RMG #3781 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H12L(11)<=>C5H7L(262)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3782; RMG #3782 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H12L(11)<=>C5H7L(262)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 5.597 - -! Reaction index: Chemkin #3783; RMG #3783 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+C5H8L(89)<=>CCL(26)+C5H7L(262) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3784; RMG #3784 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+C5H8L(89)<=>CCCR(27)+C5H7L(262) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3785; RMG #3785 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H7L(262)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3786; RMG #3786 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H7L(262)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3787; RMG #3787 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C5H9L2(203)<=>C5H7L(262)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3788; RMG #3788 -! Library reaction: restart -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C5H9L2(203)<=>C5H7L(262)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 6.578 - -! Reaction index: Chemkin #3789; RMG #3789 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C8H16L(15)<=>C5H7L(262)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3790; RMG #3790 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H16L(15)<=>C5H7L(262)+C8H17L(49) 1.225850e+27 -4.376 6.150 - -! Reaction index: Chemkin #3791; RMG #3791 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H10R(171)<=>C5H7L(262)+C6H11R(56) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3792; RMG #3792 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(171)<=>C5H7L(262)+C6H11R(56) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3793; RMG #3793 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 5.258140e+13 -0.550 0.671 -DUPLICATE - -! Reaction index: Chemkin #3794; RMG #3794 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 8.605 -DUPLICATE - -! Reaction index: Chemkin #3795; RMG #3795 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C5H8L(89)<=>C3H5L(59)+C5H7L(262) 1.566000e+12 0.000 0.294 - -! Reaction index: Chemkin #3796; RMG #3796 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C5H8L(89)<=>C4H7R(60)+C5H7L(262) 1.566000e+12 0.000 0.294 - -! Reaction index: Chemkin #3797; RMG #3797 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C8H14L(112)<=>C5H7L(262)+C8H15L(61) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #3798; RMG #3798 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C8H14L(112)<=>C5H7L(262)+C8H15L(61) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #3799; RMG #3799 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+C5H8L(89)<=>C(75)+C5H7L(262) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #3800; RMG #3800 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C5H8L(77)<=>C(75)+C5H7L(262) 1.225850e+27 -4.376 4.826 - -! Reaction index: Chemkin #3801; RMG #3801 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C -H(82)+C5H8L(89)<=>[H][H](83)+C5H7L(262) 4.559710e+12 -0.222 0.000 -DUPLICATE - -! Reaction index: Chemkin #3802; RMG #3802 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C5H8L(77)<=>[H][H](83)+C5H7L(262) 1.225850e+27 -4.376 4.989 - -! Reaction index: Chemkin #3803; RMG #3803 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+C5H8L(89)<=>[H][H](83)+C5H7L(262) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #3804; RMG #3804 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+C5H8L(89)<=>C3H5L(86)+C5H7L(262) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #3805; RMG #3805 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C5H8L(77)<=>C3H5L(86)+C5H7L(262) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #3806; RMG #3806 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C7H15(85)<=>C5H7L(262)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3807; RMG #3807 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]C(94)+C5H8L(89)<=>CCC(95)+C5H7L(262) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #3808; RMG #3808 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C5H8L(77)<=>CCC(95)+C5H7L(262) 1.225850e+27 -4.376 6.128 - -! Reaction index: Chemkin #3809; RMG #3809 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+C5H8L(89)<=>CCC(95)+C5H7L(262) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #3810; RMG #3810 -! Library reaction: restart -! Flux pairs: C5H8L(77), C5H7L(262); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C5H8L(77)<=>CCC(95)+C5H7L(262) 1.225850e+27 -4.376 5.501 - -! Reaction index: Chemkin #3811; RMG #3811 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10L(169)<=>C5H7L(262)+C6H11L(107) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #3812; RMG #3812 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10L(169)<=>C5H7L(262)+C6H11L(107) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #3813; RMG #3813 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H9(160)<=>C5H7L(262)+C6H10(116) 1.051630e+14 -0.550 0.781 - -! Reaction index: Chemkin #3814; RMG #3814 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H10(116); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C6H9(160)<=>C5H7L(262)+C6H10(116) 2.451710e+27 -4.376 10.255 - -! Reaction index: Chemkin #3815; RMG #3815 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H7(123)<=>C5H7L(262)+C6H8(118) 1.051630e+14 -0.550 0.540 - -! Reaction index: Chemkin #3816; RMG #3816 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(118); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C6H7(123)<=>C5H7L(262)+C6H8(118) 2.451710e+27 -4.376 9.523 - -! Reaction index: Chemkin #3817; RMG #3817 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C7H12R(199)<=>C5H7L(262)+C7H13R(120) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #3818; RMG #3818 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H12R(199)<=>C5H7L(262)+C7H13R(120) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #3819; RMG #3819 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H7(123)<=>C5H7L(262)+C6H8(125) 1.051630e+14 -0.550 0.571 - -! Reaction index: Chemkin #3820; RMG #3820 -! Library reaction: restart -! Flux pairs: C6H7(123), C6H8(125); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C6H7(123)<=>C5H7L(262)+C6H8(125) 2.451710e+27 -4.376 9.622 - -! Reaction index: Chemkin #3821; RMG #3821 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C5H8L(89)<=>C4H8(157)+C5H7L(262) 1.566000e+12 0.000 0.217 - -! Reaction index: Chemkin #3822; RMG #3822 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C10H13(202)<=>C5H7L(262)+C10H14(179) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #3823; RMG #3823 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H13(202)<=>C5H7L(262)+C10H14(179) 1.225850e+27 -4.376 10.329 - -! Reaction index: Chemkin #3824; RMG #3824 -! Library reaction: restart -! Flux pairs: C5H8L(89), C5H7L(262); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C5H8L(89)<=>C5H6(187)+C5H7L(262) 2.629070e+14 -0.550 0.534 - -! Reaction index: Chemkin #3825; RMG #3825 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C11H15(234)<=>C5H7L(262)+C11H16(229) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #3826; RMG #3826 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(234)<=>C5H7L(262)+C11H16(229) 1.225850e+27 -4.376 10.255 - -! Reaction index: Chemkin #3827; RMG #3827 -! Library reaction: restart -! Flux pairs: C3H4R(78), C9H11R(263); C6H7(239), C9H11R(263); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C3H4R(78)+C6H7(239)<=>C9H11R(263) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3828; RMG #3828 -! Library reaction: restart -! Flux pairs: C3H4R(78), C9H11R(264); C6H7(239), C9H11R(264); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C3H4R(78)+C6H7(239)<=>C9H11R(264) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3829; RMG #3829 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H15(265); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C11H15(256)<=>C11H15(265) 1.260000e+11 0.160 11.046 - -! Reaction index: Chemkin #3830; RMG #3830 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H17(266); C6H10(110), C12H17(266); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H10(110)<=>C12H17(266) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #3831; RMG #3831 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(267); C6H9(114), C12H16(267); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H9(114)<=>C12H16(267) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3832; RMG #3832 -! Library reaction: restart -! Flux pairs: C3H4R(78), C9H11R(268); C6H7(239), C9H11R(268); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C3H4R(78)+C6H7(239)<=>C9H11R(268) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3833; RMG #3833 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(269); C6H9(114), C12H16(269); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H9(114)<=>C12H16(269) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3834; RMG #3834 -! Library reaction: restart -! Flux pairs: C3H4R(78), C9H11R(270); C6H7(239), C9H11R(270); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C3H4R(78)+C6H7(239)<=>C9H11R(270) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3835; RMG #3835 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(271); C6H7(239), C11H14(271); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H7(239)<=>C11H14(271) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #3836; RMG #3836 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C11H15(256); C11H14(271), C11H15(256); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H14(271)<=>C11H15(256) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #3837; RMG #3837 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #3838; RMG #3838 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #3839; RMG #3839 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3840; RMG #3840 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3841; RMG #3841 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #3842; RMG #3842 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3843; RMG #3843 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3844; RMG #3844 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3845; RMG #3845 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3846; RMG #3846 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H15(256)<=>RC10(2)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3847; RMG #3847 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H15(256)<=>LC10(3)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3848; RMG #3848 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(256)<=>C3H5R(12)+C11H14(271) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #3849; RMG #3849 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H15(256)<=>CC(C)L(13)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3850; RMG #3850 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(256)<=>C6H11R(17)+C11H14(271) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #3851; RMG #3851 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H15(256)<=>C3H6(18)+C11H14(271) 2.451710e+27 -4.376 8.460 - -! Reaction index: Chemkin #3852; RMG #3852 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H15(256)<=>CC(C)CR(20)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3853; RMG #3853 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H15(256)<=>CR(22)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3854; RMG #3854 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H15(256)<=>CC(C)CC(C)CR(23)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3855; RMG #3855 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(256)<=>C5H9L(24)+C11H14(271) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #3856; RMG #3856 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H15(256)<=>CC(C)CC(C)L(25)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3857; RMG #3857 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H15(256)<=>CCL(26)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3858; RMG #3858 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H15(256)<=>CCCR(27)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3859; RMG #3859 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(256)<=>C6H11R(56)+C11H14(271) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #3860; RMG #3860 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(256)<=>C6H11R(56)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3861; RMG #3861 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(256)<=>C5H9L(57)+C11H14(271) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #3862; RMG #3862 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(256)<=>C5H9L(57)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3863; RMG #3863 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(256)<=>C3H5R(58)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3864; RMG #3864 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H15(256)<=>C3H5L(59)+C11H14(271) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #3865; RMG #3865 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H15(256)<=>C4H7R(60)+C11H14(271) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #3866; RMG #3866 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(256)<=>C4H7R(60)+C11H14(271) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #3867; RMG #3867 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H15(256)<=>C8H15L(61)+C11H14(271) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #3868; RMG #3868 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(256)<=>C7H13R(62)+C11H14(271) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #3869; RMG #3869 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(256)<=>C6H11L(63)+C11H14(271) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #3870; RMG #3870 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H15(256)<=>C(75)+C11H14(271) 1.225850e+27 -4.376 4.703 - -! Reaction index: Chemkin #3871; RMG #3871 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(256)<=>C4H7R(81)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3872; RMG #3872 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H15(256)<=>[H][H](83)+C11H14(271) 1.225850e+27 -4.376 4.864 - -! Reaction index: Chemkin #3873; RMG #3873 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(256)<=>C5H9L(84)+C11H14(271) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #3874; RMG #3874 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H15(256)<=>CCC(95)+C11H14(271) 1.225850e+27 -4.376 5.985 - -! Reaction index: Chemkin #3875; RMG #3875 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H15(256)<=>CCC(95)+C11H14(271) 1.225850e+27 -4.376 5.367 - -! Reaction index: Chemkin #3876; RMG #3876 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(256)<=>C6H11R(98)+C11H14(271) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #3877; RMG #3877 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(256)<=>C6H11L(107)+C11H14(271) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #3878; RMG #3878 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(256)<=>C6H11L(107)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3879; RMG #3879 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H15(256)<=>C6H10(110)+C11H14(271) 1.225850e+27 -4.376 10.849 - -! Reaction index: Chemkin #3880; RMG #3880 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H15(256)<=>C6H10(116)+C11H14(271) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #3881; RMG #3881 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H15(256)<=>C6H10(116)+C11H14(271) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #3882; RMG #3882 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(256)<=>C7H13R(120)+C11H14(271) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #3883; RMG #3883 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(256)<=>C7H13R(120)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3884; RMG #3884 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H15(256)<=>C5H8(173)+C11H14(271) 2.451710e+27 -4.376 10.743 - -! Reaction index: Chemkin #3885; RMG #3885 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H15(256)<=>C3H5L(86)+C11H14(271) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #3886; RMG #3886 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H15(256)<=>CC(C)CC(C)C(87)+C11H14(271) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #3887; RMG #3887 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(256)<=>C6H8(118)+C11H14(271) 2.451710e+27 -4.376 9.335 - -! Reaction index: Chemkin #3888; RMG #3888 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(256)<=>C6H8(118)+C11H14(271) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #3889; RMG #3889 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(256)<=>C6H8(125)+C11H14(271) 2.451710e+27 -4.376 9.433 - -! Reaction index: Chemkin #3890; RMG #3890 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H15(256)<=>C4H8(157)+C11H14(271) 2.451710e+27 -4.376 8.079 - -! Reaction index: Chemkin #3891; RMG #3891 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H15(256)<=>C5H8(180)+C11H14(271) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #3892; RMG #3892 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H15(256)<=>C5H6(187)+C11H14(271) 6.129270e+27 -4.376 9.315 - -! Reaction index: Chemkin #3893; RMG #3893 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H15(256)<=>CCCC(C)L(16)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3894; RMG #3894 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H15(256)<=>CCCC(C)CR(32)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3895; RMG #3895 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H15(256)<=>CC(L)CC(C)L(35)+C11H14(271) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #3896; RMG #3896 -! Library reaction: restart -! Flux pairs: C3H5(102), C9H12(272); C6H7(239), C9H12(272); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H7(239)<=>C9H12(272) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3897; RMG #3897 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C9H13(260); C9H12(272), C9H13(260); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H12(272)<=>C9H13(260) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #3898; RMG #3898 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(65)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3899; RMG #3899 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(69)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3900; RMG #3900 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(66)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3901; RMG #3901 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(68)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3902; RMG #3902 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(72)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3903; RMG #3903 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(73)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3904; RMG #3904 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(71)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3905; RMG #3905 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(67)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3906; RMG #3906 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C9H17LR(70)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3907; RMG #3907 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C10H20R(64)<=>C9H12(272)+RC10(2) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3908; RMG #3908 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C10H20L(76)<=>C9H12(272)+LC10(3) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3909; RMG #3909 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H13(260)<=>C3H5R(12)+C9H12(272) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3910; RMG #3910 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C9H13(260)<=>CC(C)L(13)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3911; RMG #3911 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H13(260)<=>CCCC(C)L(16)+C9H12(272) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3912; RMG #3912 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H13(260)<=>C6H11R(17)+C9H12(272) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #3913; RMG #3913 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C9H13(260)<=>C3H6(18)+C9H12(272) 2.451710e+27 -4.376 6.289 - -! Reaction index: Chemkin #3914; RMG #3914 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C9H13(260)<=>CC(C)CR(20)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3915; RMG #3915 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C9H13(260)<=>CR(22)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3916; RMG #3916 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C9H13(260)<=>CC(C)CC(C)CR(23)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3917; RMG #3917 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H13(260)<=>C5H9L(24)+C9H12(272) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #3918; RMG #3918 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C9H13(260)<=>CC(C)CC(C)L(25)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3919; RMG #3919 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H13(260)<=>CCL(26)+C9H12(272) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3920; RMG #3920 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H13(260)<=>CCCR(27)+C9H12(272) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3921; RMG #3921 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H13(260)<=>CCCC(C)CR(32)+C9H12(272) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3922; RMG #3922 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C9H13(260)<=>CC(L)CC(C)L(35)+C9H12(272) 1.225850e+27 -4.376 4.616 - -! Reaction index: Chemkin #3923; RMG #3923 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H15(256)<=>C8H17L(49)+C11H14(271) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #3924; RMG #3924 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H13(260)<=>C8H17L(49)+C9H12(272) 1.225850e+27 -4.376 4.274 - -! Reaction index: Chemkin #3925; RMG #3925 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H13(260)<=>C6H11R(56)+C9H12(272) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #3926; RMG #3926 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H13(260)<=>C6H11R(56)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3927; RMG #3927 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H13(260)<=>C5H9L(57)+C9H12(272) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #3928; RMG #3928 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H13(260)<=>C5H9L(57)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3929; RMG #3929 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H13(260)<=>C3H5R(58)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3930; RMG #3930 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C9H13(260)<=>C3H5L(59)+C9H12(272) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #3931; RMG #3931 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C9H13(260)<=>C4H7R(60)+C9H12(272) 2.451710e+27 -4.376 6.263 - -! Reaction index: Chemkin #3932; RMG #3932 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H13(260)<=>C4H7R(60)+C9H12(272) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3933; RMG #3933 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C9H13(260)<=>C8H15L(61)+C9H12(272) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #3934; RMG #3934 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H13(260)<=>C7H13R(62)+C9H12(272) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #3935; RMG #3935 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H13(260)<=>C6H11L(63)+C9H12(272) 1.225850e+27 -4.376 7.050 - -! Reaction index: Chemkin #3936; RMG #3936 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C9H13(260)<=>C(75)+C9H12(272) 1.225850e+27 -4.376 3.228 - -! Reaction index: Chemkin #3937; RMG #3937 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H13(260)<=>C4H7R(81)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3938; RMG #3938 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C9H13(260)<=>[H][H](83)+C9H12(272) 1.225850e+27 -4.376 3.356 - -! Reaction index: Chemkin #3939; RMG #3939 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H13(260)<=>C5H9L(84)+C9H12(272) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #3940; RMG #3940 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C9H13(260)<=>C3H5L(86)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3941; RMG #3941 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C9H13(260)<=>CC(C)CC(C)C(87)+C9H12(272) 1.225850e+27 -4.376 3.834 - -! Reaction index: Chemkin #3942; RMG #3942 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C9H13(260)<=>CCC(95)+C9H12(272) 1.225850e+27 -4.376 4.256 - -! Reaction index: Chemkin #3943; RMG #3943 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C9H13(260)<=>CCC(95)+C9H12(272) 1.225850e+27 -4.376 3.758 - -! Reaction index: Chemkin #3944; RMG #3944 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H13(260)<=>C6H11R(98)+C9H12(272) 1.225850e+27 -4.376 7.038 - -! Reaction index: Chemkin #3945; RMG #3945 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H13(260)<=>C6H11L(107)+C9H12(272) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #3946; RMG #3946 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H13(260)<=>C6H11L(107)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3947; RMG #3947 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C9H13(260)<=>C6H10(110)+C9H12(272) 1.225850e+27 -4.376 8.296 - -! Reaction index: Chemkin #3948; RMG #3948 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C9H13(260)<=>C6H10(116)+C9H12(272) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #3949; RMG #3949 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H13(260)<=>C6H10(116)+C9H12(272) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #3950; RMG #3950 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H13(260)<=>C6H8(118)+C9H12(272) 2.451710e+27 -4.376 7.020 - -! Reaction index: Chemkin #3951; RMG #3951 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(260)<=>C6H8(118)+C9H12(272) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #3952; RMG #3952 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H13(260)<=>C7H13R(120)+C9H12(272) 1.225850e+27 -4.376 7.361 - -! Reaction index: Chemkin #3953; RMG #3953 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H13(260)<=>C7H13R(120)+C9H12(272) 1.225850e+27 -4.376 6.263 - -! Reaction index: Chemkin #3954; RMG #3954 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H13(260)<=>C6H8(125)+C9H12(272) 2.451710e+27 -4.376 7.102 - -! Reaction index: Chemkin #3955; RMG #3955 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C9H13(260)<=>C4H8(157)+C9H12(272) 2.451710e+27 -4.376 5.972 - -! Reaction index: Chemkin #3956; RMG #3956 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C9H13(260)<=>C5H8(173)+C9H12(272) 2.451710e+27 -4.376 8.206 - -! Reaction index: Chemkin #3957; RMG #3957 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C10H13(202)<=>C9H12(272)+C10H14(179) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #3958; RMG #3958 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C9H13(260)<=>C5H8(180)+C9H12(272) 2.451710e+27 -4.376 7.628 - -! Reaction index: Chemkin #3959; RMG #3959 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C9H13(260)<=>C5H6(187)+C9H12(272) 6.129270e+27 -4.376 7.003 - -! Reaction index: Chemkin #3960; RMG #3960 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C11H15(234)<=>C9H12(272)+C11H16(229) 1.225850e+27 -4.376 7.628 - -! Reaction index: Chemkin #3961; RMG #3961 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(273); C6H9(114), C12H16(273); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H9(114)<=>C12H16(273) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #3962; RMG #3962 -! Library reaction: restart -! Flux pairs: C5H7(178), C11H14(274); C6H7(239), C11H14(274); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C6H7(239)<=>C11H14(274) 1.000000e+14 -0.000 0.000 - -! Reaction index: Chemkin #3963; RMG #3963 -! Library reaction: restart -! Flux pairs: C3H5(102), C9H12(275); C6H7(239), C9H12(275); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H7(239)<=>C9H12(275) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #3964; RMG #3964 -! Library reaction: restart -! Flux pairs: C5H7(178), C11H14(276); C6H7(239), C11H14(276); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C6H7(239)<=>C11H14(276) 1.000000e+14 -0.000 0.000 - -! Reaction index: Chemkin #3965; RMG #3965 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H14(277); C6H7(239), C12H14(277); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R -C6H7(239)+C6H7(239)<=>C12H14(277) 1.815520e+13 -0.118 0.000 - -! Reaction index: Chemkin #3966; RMG #3966 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C11H15(226); C11H14(278), C11H15(226); -! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H14(278)<=>C11H15(226) 2.580000e+08 1.640 -0.720 - -! Reaction index: Chemkin #3967; RMG #3967 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(278); C6H7(239), C11H14(278); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C5H7(174)+C6H7(239)<=>C11H14(278) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #3968; RMG #3968 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #3969; RMG #3969 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #3970; RMG #3970 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3971; RMG #3971 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3972; RMG #3972 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #3973; RMG #3973 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3974; RMG #3974 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3975; RMG #3975 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3976; RMG #3976 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3977; RMG #3977 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H15(226)<=>RC10(2)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3978; RMG #3978 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H15(226)<=>LC10(3)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3979; RMG #3979 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(226)<=>C3H5R(12)+C11H14(278) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #3980; RMG #3980 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H15(226)<=>CC(C)L(13)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3981; RMG #3981 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(226)<=>C6H11R(17)+C11H14(278) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #3982; RMG #3982 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H15(226)<=>C3H6(18)+C11H14(278) 2.451710e+27 -4.376 9.585 - -! Reaction index: Chemkin #3983; RMG #3983 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H15(226)<=>CC(C)CR(20)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3984; RMG #3984 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H15(226)<=>CR(22)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3985; RMG #3985 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(226)<=>C5H9L(24)+C11H14(278) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #3986; RMG #3986 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H15(226)<=>CC(C)CC(C)L(25)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #3987; RMG #3987 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H15(226)<=>CCL(26)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3988; RMG #3988 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H15(226)<=>CCCR(27)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #3989; RMG #3989 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(226)<=>C6H11R(56)+C11H14(278) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #3990; RMG #3990 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(226)<=>C6H11R(56)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #3991; RMG #3991 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(226)<=>C5H9L(57)+C11H14(278) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #3992; RMG #3992 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(226)<=>C5H9L(57)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #3993; RMG #3993 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(226)<=>C3H5R(58)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #3994; RMG #3994 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H15(226)<=>C3H5L(59)+C11H14(278) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #3995; RMG #3995 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H15(226)<=>C4H7R(60)+C11H14(278) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #3996; RMG #3996 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(226)<=>C4H7R(60)+C11H14(278) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #3997; RMG #3997 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H15(226)<=>C8H15L(61)+C11H14(278) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #3998; RMG #3998 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(226)<=>C7H13R(62)+C11H14(278) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #3999; RMG #3999 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(226)<=>C6H11L(63)+C11H14(278) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #4000; RMG #4000 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H15(226)<=>C(75)+C11H14(278) 1.225850e+27 -4.376 5.492 - -! Reaction index: Chemkin #4001; RMG #4001 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(226)<=>C4H7R(81)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4002; RMG #4002 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H15(226)<=>[H][H](83)+C11H14(278) 1.225850e+27 -4.376 5.669 - -! Reaction index: Chemkin #4003; RMG #4003 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(226)<=>C5H9L(84)+C11H14(278) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #4004; RMG #4004 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H15(226)<=>C3H5L(86)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4005; RMG #4005 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H15(226)<=>CCC(95)+C11H14(278) 1.225850e+27 -4.376 6.898 - -! Reaction index: Chemkin #4006; RMG #4006 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H15(226)<=>CCC(95)+C11H14(278) 1.225850e+27 -4.376 6.222 - -! Reaction index: Chemkin #4007; RMG #4007 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(226)<=>C6H11R(98)+C11H14(278) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #4008; RMG #4008 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(226)<=>C6H11L(107)+C11H14(278) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4009; RMG #4009 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(226)<=>C6H11L(107)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4010; RMG #4010 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H15(226)<=>C6H10(110)+C11H14(278) 1.225850e+27 -4.376 12.156 - -! Reaction index: Chemkin #4011; RMG #4011 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H15(226)<=>C6H10(116)+C11H14(278) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #4012; RMG #4012 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H15(226)<=>C6H10(116)+C11H14(278) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #4013; RMG #4013 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(226)<=>C6H8(118)+C11H14(278) 2.451710e+27 -4.376 10.529 - -! Reaction index: Chemkin #4014; RMG #4014 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(226)<=>C6H8(118)+C11H14(278) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #4015; RMG #4015 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(226)<=>C7H13R(120)+C11H14(278) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4016; RMG #4016 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(226)<=>C7H13R(120)+C11H14(278) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4017; RMG #4017 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(226)<=>C6H8(125)+C11H14(278) 2.451710e+27 -4.376 10.634 - -! Reaction index: Chemkin #4018; RMG #4018 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H15(226)<=>C4H8(157)+C11H14(278) 2.451710e+27 -4.376 9.173 - -! Reaction index: Chemkin #4019; RMG #4019 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H15(226)<=>C5H8(173)+C11H14(278) 2.451710e+27 -4.376 12.042 - -! Reaction index: Chemkin #4020; RMG #4020 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H15(226)<=>C5H8(180)+C11H14(278) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #4021; RMG #4021 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H15(226)<=>C5H6(187)+C11H14(278) 6.129270e+27 -4.376 10.507 - -! Reaction index: Chemkin #4022; RMG #4022 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(279); C6H7(239), C11H14(279); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C5H7(174)+C6H7(239)<=>C11H14(279) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4023; RMG #4023 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(280); C6H9(114), C12H16(280); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H9(114)<=>C12H16(280) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #4024; RMG #4024 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H15(226)<=>CCCC(C)L(16)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4025; RMG #4025 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H15(226)<=>CC(C)CC(C)CR(23)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4026; RMG #4026 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H15(226)<=>CCCC(C)CR(32)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4027; RMG #4027 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H15(226)<=>CC(L)CC(C)L(35)+C11H14(278) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #4028; RMG #4028 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H15(226)<=>C8H17L(49)+C11H14(278) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4029; RMG #4029 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H15(226)<=>CC(C)CC(C)C(87)+C11H14(278) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4030; RMG #4030 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C11H15(256)<=>C10H14(179)+C11H14(271) 1.225850e+27 -4.376 10.132 - -! Reaction index: Chemkin #4031; RMG #4031 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H16(229); C11H15(234), C11H14(271); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C11H15(256)<=>C11H14(271)+C11H16(229) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #4032; RMG #4032 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C13H20R(281); C7H13R(62), C13H20R(281); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H7(239)+C7H13R(62)<=>C13H20R(281) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #4033; RMG #4033 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H12L(282); C6H7(239), C10H12L(282); -! From training reaction 278 used for Cds-HH_Cds-CdH;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H7(239)<=>C10H12L(282) 4.330000e+03 2.410 8.570 - -! Reaction index: Chemkin #4034; RMG #4034 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(283); C6H8(118), C12H15(283); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(118)<=>C12H15(283) 2.880000e+01 2.740 3.300 - -! Reaction index: Chemkin #4035; RMG #4035 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #4036; RMG #4036 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #4037; RMG #4037 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4038; RMG #4038 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4039; RMG #4039 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #4040; RMG #4040 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4041; RMG #4041 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4042; RMG #4042 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4043; RMG #4043 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4044; RMG #4044 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C12H15(283)<=>RC10(2)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4045; RMG #4045 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C12H15(283)<=>LC10(3)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4046; RMG #4046 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H15(283)<=>C3H5R(12)+C12H14(244) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #4047; RMG #4047 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C12H15(283)<=>CC(C)L(13)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4048; RMG #4048 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H15(283)<=>CCCC(C)L(16)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4049; RMG #4049 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H15(283)<=>C6H11R(17)+C12H14(244) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #4050; RMG #4050 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C12H15(283)<=>C3H6(18)+C12H14(244) 2.451710e+27 -4.376 9.585 - -! Reaction index: Chemkin #4051; RMG #4051 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C12H15(283)<=>CC(C)CR(20)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4052; RMG #4052 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C12H15(283)<=>CR(22)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4053; RMG #4053 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C12H15(283)<=>CC(C)CC(C)CR(23)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4054; RMG #4054 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H15(283)<=>C5H9L(24)+C12H14(244) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #4055; RMG #4055 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C12H15(283)<=>CC(C)CC(C)L(25)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4056; RMG #4056 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H15(283)<=>CCL(26)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4057; RMG #4057 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H15(283)<=>CCCR(27)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4058; RMG #4058 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H15(283)<=>CCCC(C)CR(32)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4059; RMG #4059 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C12H15(283)<=>CC(L)CC(C)L(35)+C12H14(244) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #4060; RMG #4060 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H15(283)<=>C8H17L(49)+C12H14(244) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #4061; RMG #4061 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(283)<=>C6H11R(56)+C12H14(244) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4062; RMG #4062 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H15(283)<=>C6H11R(56)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4063; RMG #4063 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(283)<=>C5H9L(57)+C12H14(244) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4064; RMG #4064 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H15(283)<=>C5H9L(57)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4065; RMG #4065 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H15(283)<=>C3H5R(58)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4066; RMG #4066 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C12H15(283)<=>C3H5L(59)+C12H14(244) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #4067; RMG #4067 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C12H15(283)<=>C4H7R(60)+C12H14(244) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #4068; RMG #4068 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H15(283)<=>C4H7R(60)+C12H14(244) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #4069; RMG #4069 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C12H15(283)<=>C8H15L(61)+C12H14(244) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4070; RMG #4070 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H15(283)<=>C7H13R(62)+C12H14(244) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #4071; RMG #4071 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H15(283)<=>C6H11L(63)+C12H14(244) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #4072; RMG #4072 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C12H15(283)<=>C(75)+C12H14(244) 1.225850e+27 -4.376 5.492 - -! Reaction index: Chemkin #4073; RMG #4073 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H15(283)<=>C4H7R(81)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4074; RMG #4074 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C12H15(283)<=>[H][H](83)+C12H14(244) 1.225850e+27 -4.376 5.669 - -! Reaction index: Chemkin #4075; RMG #4075 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(283)<=>C5H9L(84)+C12H14(244) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #4076; RMG #4076 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C12H15(283)<=>C3H5L(86)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4077; RMG #4077 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C12H15(283)<=>CC(C)CC(C)C(87)+C12H14(244) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #4078; RMG #4078 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C12H15(283)<=>CCC(95)+C12H14(244) 1.225850e+27 -4.376 6.898 - -! Reaction index: Chemkin #4079; RMG #4079 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C12H15(283)<=>CCC(95)+C12H14(244) 1.225850e+27 -4.376 6.222 - -! Reaction index: Chemkin #4080; RMG #4080 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(283)<=>C6H11R(98)+C12H14(244) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #4081; RMG #4081 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H15(283)<=>C6H11L(107)+C12H14(244) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4082; RMG #4082 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H15(283)<=>C6H11L(107)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4083; RMG #4083 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C12H15(283)<=>C6H10(110)+C12H14(244) 1.225850e+27 -4.376 12.156 - -! Reaction index: Chemkin #4084; RMG #4084 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C12H15(283)<=>C6H10(116)+C12H14(244) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #4085; RMG #4085 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H15(283)<=>C6H10(116)+C12H14(244) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #4086; RMG #4086 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H15(283)<=>C6H8(118)+C12H14(244) 2.451710e+27 -4.376 10.529 - -! Reaction index: Chemkin #4087; RMG #4087 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(283)<=>C6H8(118)+C12H14(244) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #4088; RMG #4088 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H15(283)<=>C7H13R(120)+C12H14(244) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #4089; RMG #4089 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H15(283)<=>C7H13R(120)+C12H14(244) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #4090; RMG #4090 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H15(283)<=>C6H8(125)+C12H14(244) 2.451710e+27 -4.376 10.634 - -! Reaction index: Chemkin #4091; RMG #4091 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C12H15(283)<=>C4H8(157)+C12H14(244) 2.451710e+27 -4.376 9.173 - -! Reaction index: Chemkin #4092; RMG #4092 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C12H15(283)<=>C5H8(173)+C12H14(244) 2.451710e+27 -4.376 12.042 - -! Reaction index: Chemkin #4093; RMG #4093 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C12H15(283)<=>C5H8(180)+C12H14(244) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #4094; RMG #4094 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C12H15(283)<=>C5H6(187)+C12H14(244) 6.129270e+27 -4.376 10.507 - -! Reaction index: Chemkin #4095; RMG #4095 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C12H15(283); C12H14(244), C12H15(283); -! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C12H14(244)<=>C12H15(283) 2.580000e+08 1.640 -0.720 - -! Reaction index: Chemkin #4096; RMG #4096 -! Library reaction: restart -! Flux pairs: C5H5(189), C11H12(284); C6H7(239), C11H12(284); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C6H7(239)<=>C11H12(284) 2.500000e+14 -0.000 0.000 - -! Reaction index: Chemkin #4097; RMG #4097 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H10R(90); C6H9R(285), C6H10R(90); -! From training reaction 2558 used for Cds-CsH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H9R(285)<=>C6H10R(90) 1.520000e+08 1.640 0.140 - -! Reaction index: Chemkin #4098; RMG #4098 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H10R(90)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4099; RMG #4099 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H10R(90)<=>C5H9L(84)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4100; RMG #4100 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H10R(90)<=>C3H5R(12)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4101; RMG #4101 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H10R(90)<=>C3H5R(58)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4102; RMG #4102 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H10R(90)<=>C4H7R(60)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4103; RMG #4103 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H10R(90)<=>C4H7R(81)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4104; RMG #4104 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H10R(90)<=>C5H9L(24)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4105; RMG #4105 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H10R(90)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4106; RMG #4106 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C6H10R(90)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4107; RMG #4107 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C6H10R(90)<=>C6H9R(285)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4108; RMG #4108 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C6H10R(90)<=>C3H6(18)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4109; RMG #4109 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11L(63); C6H10L(103), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C6H10R(90)<=>C6H9R(285)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4110; RMG #4110 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11L(107); C6H10L(103), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C6H10R(90)<=>C6H9R(285)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4111; RMG #4111 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H12R(108)<=>C6H9R(285)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4112; RMG #4112 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H12R(108)<=>C6H9R(285)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4113; RMG #4113 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H10(110); C6H9(113), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C6H10R(90)<=>C6H9R(285)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4114; RMG #4114 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H10(116); C6H9(114), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10R(90)<=>C6H9R(285)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4115; RMG #4115 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C6H10R(90)<=>C3H5L(59)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4116; RMG #4116 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C6H10R(90)<=>C4H8(157)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4117; RMG #4117 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H10R(90)<=>C5H8(173)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4118; RMG #4118 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10R(90)<=>C5H8(180)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4119; RMG #4119 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(90)<=>C6H8(118)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4120; RMG #4120 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(65)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4121; RMG #4121 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(69)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4122; RMG #4122 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(66)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4123; RMG #4123 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(68)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4124; RMG #4124 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(72)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4125; RMG #4125 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(73)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4126; RMG #4126 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(71)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4127; RMG #4127 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(67)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4128; RMG #4128 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H17LR(70)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4129; RMG #4129 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H20R(64)<=>C6H9R(285)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4130; RMG #4130 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H20L(76)<=>C6H9R(285)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4131; RMG #4131 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H10R(90)<=>CC(C)L(13)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4132; RMG #4132 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>CCCC(C)L(16)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4133; RMG #4133 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(17); C6H10R(171), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C6H10R(90)<=>C6H9R(285)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4134; RMG #4134 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H10R(90)<=>CC(C)CR(20)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4135; RMG #4135 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C6H10R(90)<=>CR(22)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4136; RMG #4136 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H14R(9)<=>C6H9R(285)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4137; RMG #4137 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C6H12L(11)<=>C6H9R(285)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4138; RMG #4138 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C6H10R(90)<=>CCL(26)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4139; RMG #4139 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10R(90)<=>CCCR(27)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4140; RMG #4140 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H9R(285)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4141; RMG #4141 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C6H10R(90)<=>CC(L)CC(C)L(35)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4142; RMG #4142 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C8H16L(15)<=>C6H9R(285)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4143; RMG #4143 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(171), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C6H10R(90)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4144; RMG #4144 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C6H10R(90)<=>C4H7R(60)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4145; RMG #4145 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C8H14L(112)<=>C6H9R(285)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4146; RMG #4146 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H10R(90)<=>C(75)+C6H9R(285) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #4147; RMG #4147 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C6H10R(90)<=>C(75)+C6H9R(285) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #4148; RMG #4148 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H10R(90)<=>[H][H](83)+C6H9R(285) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #4149; RMG #4149 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C6H10R(90)<=>C3H5L(86)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4150; RMG #4150 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H15(85)<=>C6H9R(285)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4151; RMG #4151 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C6H10R(90)<=>CCC(95)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4152; RMG #4152 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10R(90)<=>CCC(95)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4153; RMG #4153 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C6H10L(169)<=>C6H9R(285)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4154; RMG #4154 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H10(116); C6H9(160), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10R(90)<=>C6H9R(285)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4155; RMG #4155 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H10R(90)<=>C6H8(118)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4156; RMG #4156 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H12R(199)<=>C6H9R(285)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4157; RMG #4157 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H10R(90)<=>C6H8(125)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4158; RMG #4158 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H13(202)<=>C6H9R(285)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4159; RMG #4159 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C6H10R(90)<=>C5H6(187)+C6H9R(285) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #4160; RMG #4160 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C11H15(234)<=>C6H9R(285)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4161; RMG #4161 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), C7H12R(286); C6H9R(285), C7H12R(286); -! From training reaction 94 used for Cds-CsH_Cds-CdCs;CsJ-HHH -! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-HHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -CH3(74)+C6H9R(285)<=>C7H12R(286) 1.079950e+05 2.652 -2.017 - -! Reaction index: Chemkin #4162; RMG #4162 -! Library reaction: restart -! Flux pairs: H(82), C6H9R(285); C6H8R(287), C6H9R(285); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C6H8R(287)<=>C6H9R(285) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #4163; RMG #4163 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H9R(285)<=>CC(C)CR(20)+C6H8R(287) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4164; RMG #4164 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C6H9R(285)<=>CCCR(27)+C6H8R(287) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4165; RMG #4165 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C[CH]CC(C)CR(5)<=>C6H8R(287)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4166; RMG #4166 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H9R(285)<=>CC(C)L(13)+C6H8R(287) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4167; RMG #4167 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C7H14R(9)<=>C6H8R(287)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4168; RMG #4168 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H9R(285)<=>CCCC(C)L(16)+C6H8R(287) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4169; RMG #4169 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C6H9R(285)<=>CCL(26)+C6H8R(287) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4170; RMG #4170 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H12L(11)<=>C6H8R(287)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4171; RMG #4171 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H8R(287)<=>C3H5R(12)+C6H9R(285) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #4172; RMG #4172 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C6H9R(285)<=>CR(22)+C6H8R(287) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4173; RMG #4173 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(285)+C6H11R(17) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #4174; RMG #4174 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H8R(287)<=>C3H6(18)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4175; RMG #4175 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H8R(287)<=>C3H6(18)+C6H9R(285) 2.451710e+27 -4.376 8.092 - -! Reaction index: Chemkin #4176; RMG #4176 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H8R(287)<=>C2H3L(19)+C6H9R(285) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #4177; RMG #4177 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C8H16L(15)<=>C6H9R(285)+C8H15L(21) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #4178; RMG #4178 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(24)+C6H9R(285) 1.225850e+27 -4.376 8.002 - -! Reaction index: Chemkin #4179; RMG #4179 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4180; RMG #4180 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4181; RMG #4181 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H8R(287)<=>C3H5R(58)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4182; RMG #4182 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H8R(287)<=>C3H5L(59)+C6H9R(285) 7.830000e+11 0.000 0.211 - -! Reaction index: Chemkin #4183; RMG #4183 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H8R(287)<=>C4H7R(60)+C6H9R(285) 7.830000e+11 0.000 0.211 - -! Reaction index: Chemkin #4184; RMG #4184 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C8H16L(15)<=>C6H9R(285)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4185; RMG #4185 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H8R(287)+C7H14R(9)<=>C6H9R(285)+C7H13R(62) 7.830000e+11 0.000 0.172 - -! Reaction index: Chemkin #4186; RMG #4186 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H8R(287)+C6H12L(11)<=>C6H9R(285)+C6H11L(63) 7.830000e+11 0.000 0.172 - -! Reaction index: Chemkin #4187; RMG #4187 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(66)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4188; RMG #4188 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(67)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4189; RMG #4189 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(68)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4190; RMG #4190 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(70)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4191; RMG #4191 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(71)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4192; RMG #4192 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C9H17LR(73)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4193; RMG #4193 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C(75), CH3(74); -! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H8R(287)<=>CH3(74)+C6H9R(285) 5.600000e-02 4.340 25.080 - -! Reaction index: Chemkin #4194; RMG #4194 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C5H9L(57), C5H8L(77); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H8R(287)<=>C5H8L(77)+C6H9R(285) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4195; RMG #4195 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(77)+C6H9R(285)<=>C5H9L(84)+C6H8R(287) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4196; RMG #4196 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H9R(285)<=>C3H5R(12)+C6H8R(287) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4197; RMG #4197 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C6H9R(285)<=>C3H5R(58)+C6H8R(287) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4198; RMG #4198 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H9R(285)<=>C4H7R(60)+C6H8R(287) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4199; RMG #4199 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C6H9R(285)<=>C4H7R(81)+C6H8R(287) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4200; RMG #4200 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H9R(285)<=>C5H9L(24)+C6H8R(287) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4201; RMG #4201 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8L(89)+C6H9R(285)<=>C5H9L(57)+C6H8R(287) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4202; RMG #4202 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11R(56)<=>C6H9R(285)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4203; RMG #4203 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H10R(90)<=>C6H8R(287)+C6H11R(98) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4204; RMG #4204 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H8R(287)<=>C[CH]C(94)+C6H9R(285) 2.920000e-02 4.340 18.555 - -! Reaction index: Chemkin #4205; RMG #4205 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H8R(287)<=>C3H5(102)+C6H9R(285) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4206; RMG #4206 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H10L(103)<=>C6H8R(287)+C6H11L(63) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4207; RMG #4207 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H10L(103)<=>C6H8R(287)+C6H11L(107) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4208; RMG #4208 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C7H12R(108)<=>C6H8R(287)+C7H13R(62) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4209; RMG #4209 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C7H12R(108)<=>C6H8R(287)+C7H13R(120) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4210; RMG #4210 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C8H15L(61)<=>C6H9R(285)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4211; RMG #4211 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C6H8R(287), C6H9R(285); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8R(287)+C6H10(110)<=>C6H9R(285)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4212; RMG #4212 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H9(114)<=>C6H8R(287)+C6H10(116) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4213; RMG #4213 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H9(114)<=>C6H8(118)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4214; RMG #4214 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H9(114)<=>C6H8(125)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4215; RMG #4215 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H9R(285); C6H8R(287), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H8R(287)+C6H9(160)<=>C6H8(125)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4216; RMG #4216 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C6H9R(285)<=>C3H5L(59)+C6H8R(287) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #4217; RMG #4217 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7(156)+C6H9R(285)<=>C4H8(157)+C6H8R(287) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #4218; RMG #4218 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H10(116); C6H9(160), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C6H9(160)+C6H9R(285)<=>C6H8R(287)+C6H10(116) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #4219; RMG #4219 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11L(107)<=>C6H9R(285)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4220; RMG #4220 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H10R(171)<=>C6H8R(287)+C6H11R(17) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4221; RMG #4221 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C6H10R(171)<=>C6H8R(287)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4222; RMG #4222 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C6H8R(287)<=>C5H7(174)+C6H9R(285) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4223; RMG #4223 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C5H7(178), C5H8(180); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C5H7(178)+C6H9R(285)<=>C5H8(180)+C6H8R(287) 5.382000e-03 4.340 14.300 - -! Reaction index: Chemkin #4224; RMG #4224 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C10H15(183)<=>C6H9R(285)+C10H14(184) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #4225; RMG #4225 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H8R(287)<=>C5H6(187)+C6H9R(285) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4226; RMG #4226 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H8R(287)<=>C5H5(189)+C6H9R(285) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #4227; RMG #4227 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C8H13(191)<=>C6H9R(285)+C8H12(194) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #4228; RMG #4228 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C7H13R(120)<=>C6H9R(285)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4229; RMG #4229 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H13(202)<=>C6H9R(285)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4230; RMG #4230 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C6H9R(285)<=>C3H5L(86)+C6H8R(287) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4231; RMG #4231 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C6H9R(285)<=>C4H7R(60)+C6H8R(287) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #4232; RMG #4232 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #4233; RMG #4233 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H8R(287)<=>C6H6(252)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4234; RMG #4234 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H8R(287)<=>C6H6(252)+C6H9R(285) 1.225850e+27 -4.376 12.126 - -! Reaction index: Chemkin #4235; RMG #4235 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H8R(287)<=>C5H7L(262)+C6H9R(285) 7.830000e+11 0.000 1.042 - -! Reaction index: Chemkin #4236; RMG #4236 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H9R(285); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H8R(287)<=>C5H7L(262)+C6H9R(285) 1.225850e+27 -4.376 10.947 - -! Reaction index: Chemkin #4237; RMG #4237 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(256)<=>C6H9R(285)+C11H14(271) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #4238; RMG #4238 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H13(260)<=>C6H9R(285)+C9H12(272) 1.225850e+27 -4.376 8.206 - -! Reaction index: Chemkin #4239; RMG #4239 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H10R(90)<=>C6H9R(285)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4240; RMG #4240 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H8R(287), C6H9R(285); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #4241; RMG #4241 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H8R(287), C6H9R(285); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #4242; RMG #4242 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H8R(287), C6H9R(285); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #4243; RMG #4243 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C7H15(85)<=>C6H8R(287)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4244; RMG #4244 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C6H8(118), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H8R(287)<=>C6H7(123)+C6H9R(285) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #4245; RMG #4245 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C6H8(125), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H8R(287)<=>C6H7(123)+C6H9R(285) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #4246; RMG #4246 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C6H9R(285)<=>CCC(95)+C6H8R(287) 1.344360e-04 4.649 4.528 - -! Reaction index: Chemkin #4247; RMG #4247 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H8R(287)<=>C5H9L2(203)+C6H9R(285) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #4248; RMG #4248 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H15(283)<=>C6H9R(285)+C12H14(244) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #4249; RMG #4249 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(226)<=>C6H9R(285)+C11H14(278) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #4250; RMG #4250 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C10H20R(64)<=>C6H8R(287)+RC10(2) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4251; RMG #4251 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C10H20L(76)<=>C6H8R(287)+LC10(3) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4252; RMG #4252 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C8H16L(15)<=>C6H8R(287)+C8H17L(49) 9.781930e-04 4.260 6.640 - -! Reaction index: Chemkin #4253; RMG #4253 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); [H][H](83), H(82); -! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 101.3 to 102.4 kJ/mol to match endothermicity of reaction. -! Ea raised from 102.4 to 102.4 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H8R(287)<=>H(82)+C6H9R(285) 6.060000e-02 4.340 24.463 - -! Reaction index: Chemkin #4254; RMG #4254 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C10H13(202)<=>C6H8R(287)+C10H14(179) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4255; RMG #4255 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C11H15(234)<=>C6H8R(287)+C11H16(229) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4256; RMG #4256 -! Library reaction: restart -! Flux pairs: C6H8R(287), C6H8R(288); -! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S -C6H8R(287)<=>C6H8R(288) 1.572550e+29 -4.713 39.000 - -! Reaction index: Chemkin #4257; RMG #4257 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H13LR(289); C6H8R(287), C10H13LR(289); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H8R(287)<=>C10H13LR(289) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #4258; RMG #4258 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H9(114); C6H8(290), C6H9(114); -! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H8(290)<=>C6H9(114) 2.580000e+08 1.640 -0.720 - -! Reaction index: Chemkin #4259; RMG #4259 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(290) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4260; RMG #4260 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(290) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4261; RMG #4261 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(290) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4262; RMG #4262 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C6H9(114)<=>C(75)+C6H8(290) 1.225850e+27 -4.376 5.442 - -! Reaction index: Chemkin #4263; RMG #4263 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(290) 1.225850e+27 -4.376 10.889 - -! Reaction index: Chemkin #4264; RMG #4264 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(290) 1.225850e+27 -4.376 10.478 - -! Reaction index: Chemkin #4265; RMG #4265 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(290) 1.225850e+27 -4.376 10.329 - -! Reaction index: Chemkin #4266; RMG #4266 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(290) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4267; RMG #4267 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(290) 1.225850e+27 -4.376 10.329 - -! Reaction index: Chemkin #4268; RMG #4268 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(290) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4269; RMG #4269 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(290) 1.225850e+27 -4.376 10.493 - -! Reaction index: Chemkin #4270; RMG #4270 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(290) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4271; RMG #4271 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10R(90)<=>C6H8(290)+C6H11R(56) 1.225850e+27 -4.376 10.889 - -! Reaction index: Chemkin #4272; RMG #4272 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10R(90)<=>C6H8(290)+C6H11R(98) 1.225850e+27 -4.376 10.478 - -! Reaction index: Chemkin #4273; RMG #4273 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(290) 1.225850e+27 -4.376 6.840 - -! Reaction index: Chemkin #4274; RMG #4274 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(290) 2.451710e+27 -4.376 9.514 - -! Reaction index: Chemkin #4275; RMG #4275 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10L(103)<=>C6H8(290)+C6H11L(63) 1.225850e+27 -4.376 10.493 - -! Reaction index: Chemkin #4276; RMG #4276 -! Library reaction: restart -! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10L(103)<=>C6H8(290)+C6H11L(107) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4277; RMG #4277 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H12R(108)<=>C6H8(290)+C7H13R(62) 1.225850e+27 -4.376 10.493 - -! Reaction index: Chemkin #4278; RMG #4278 -! Library reaction: restart -! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H12R(108)<=>C6H8(290)+C7H13R(120) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4279; RMG #4279 -! Library reaction: restart -! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H9(113)<=>C6H8(290)+C6H10(110) 1.225850e+27 -4.376 12.074 - -! Reaction index: Chemkin #4280; RMG #4280 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H9(114)<=>C6H8(290)+C6H10(116) 1.225850e+27 -4.376 11.229 - -! Reaction index: Chemkin #4281; RMG #4281 -! Library reaction: restart -! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C8H14L(112)<=>C6H8(290)+C8H15L(61) 1.225850e+27 -4.376 10.889 - -! Reaction index: Chemkin #4282; RMG #4282 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(290) 2.451710e+27 -4.376 9.105 - -! Reaction index: Chemkin #4283; RMG #4283 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C6H9(114)<=>C6H8(290)+C6H10(116) 2.451710e+27 -4.376 11.229 - -! Reaction index: Chemkin #4284; RMG #4284 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(290) 2.451710e+27 -4.376 11.960 - -! Reaction index: Chemkin #4285; RMG #4285 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(290) 2.451710e+27 -4.376 11.229 - -! Reaction index: Chemkin #4286; RMG #4286 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H7(239), C6H8(290); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(65) 6.950000e-03 4.340 19.640 - -! Reaction index: Chemkin #4287; RMG #4287 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H7(239), C6H8(290); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(69) 6.950000e-03 4.340 19.640 - -! Reaction index: Chemkin #4288; RMG #4288 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4289; RMG #4289 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4290; RMG #4290 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H7(239), C6H8(290); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(72) 6.950000e-03 4.340 19.640 - -! Reaction index: Chemkin #4291; RMG #4291 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4292; RMG #4292 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4293; RMG #4293 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4294; RMG #4294 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4295; RMG #4295 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C10H20R(64)<=>C6H7(239)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4296; RMG #4296 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C10H20L(76)<=>C6H7(239)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4297; RMG #4297 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(290) 1.225850e+27 -4.376 9.038 - -! Reaction index: Chemkin #4298; RMG #4298 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(290)<=>C3H5R(12)+C6H7(239) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4299; RMG #4299 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H8(290)<=>CC(C)L(13)+C6H7(239) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4300; RMG #4300 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H8(290)<=>CCCC(C)L(16)+C6H7(239) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4301; RMG #4301 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4302; RMG #4302 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H7(239)<=>C3H5(102)+C6H8(290) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4303; RMG #4303 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H8(290)<=>CC(C)CR(20)+C6H7(239) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4304; RMG #4304 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H8(290)<=>CR(22)+C6H7(239) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4305; RMG #4305 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4306; RMG #4306 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(290)<=>C5H9L(24)+C6H7(239) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4307; RMG #4307 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4308; RMG #4308 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H8(290)<=>CCL(26)+C6H7(239) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4309; RMG #4309 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H8(290)<=>CCCR(27)+C6H7(239) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4310; RMG #4310 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4311; RMG #4311 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H7(239)<=>C5H9L2(203)+C6H8(290) 1.390000e-02 4.340 19.640 - -! Reaction index: Chemkin #4312; RMG #4312 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4313; RMG #4313 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C6H11R(56)<=>C6H8(290)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4314; RMG #4314 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4315; RMG #4315 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H7(239)<=>C5H8L(77)+C6H8(290) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4316; RMG #4316 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H8(290)<=>C5H9L(57)+C6H7(239) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4317; RMG #4317 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H8(290)<=>C3H5R(58)+C6H7(239) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4318; RMG #4318 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H8(290)<=>C3H5L(59)+C6H7(239) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #4319; RMG #4319 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H8(290)<=>C4H7R(60)+C6H7(239) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #4320; RMG #4320 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(290)<=>C4H7R(60)+C6H7(239) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4321; RMG #4321 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C8H15L(61)<=>C6H8(290)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4322; RMG #4322 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4323; RMG #4323 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4324; RMG #4324 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H7(239)<=>CH3(74)+C6H8(290) 4.240000e-02 4.340 28.220 - -! Reaction index: Chemkin #4325; RMG #4325 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(290) 1.225850e+27 -4.376 11.938 - -! Reaction index: Chemkin #4326; RMG #4326 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H8(290)<=>C4H7R(81)+C6H7(239) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4327; RMG #4327 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 114.4 to 116.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 116.1 to 116.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H7(239)<=>H(82)+C6H8(290) 4.580000e-02 4.340 27.757 - -! Reaction index: Chemkin #4328; RMG #4328 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H8(290)<=>C5H9L(84)+C6H7(239) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4329; RMG #4329 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H8(290)<=>C3H5L(86)+C6H7(239) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4330; RMG #4330 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4331; RMG #4331 -! Library reaction: restart -! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(90)<=>C6H8(290)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4332; RMG #4332 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H7(239)<=>C[CH]C(94)+C6H8(290) 1.476000e-02 4.340 21.695 - -! Reaction index: Chemkin #4333; RMG #4333 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H8(290)<=>CCC(95)+C6H7(239) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4334; RMG #4334 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4335; RMG #4335 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C6H11L(107)<=>C6H8(290)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4336; RMG #4336 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4337; RMG #4337 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H9(113)<=>C6H7(239)+C6H10(110) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4338; RMG #4338 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(290)+C6H9(160)<=>C6H7(239)+C6H10(116) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #4339; RMG #4339 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H9(114)<=>C6H7(239)+C6H10(116) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4340; RMG #4340 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H8(290); C6H7(239), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(239)+C6H8(118)<=>C6H7(123)+C6H8(290) 1.962000e-03 4.340 7.980 - -! Reaction index: Chemkin #4341; RMG #4341 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H8(118); C6H7(239), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(239)+C6H8(290)<=>C6H7(239)+C6H8(118) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4342; RMG #4342 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C7H13R(120)<=>C6H8(290)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4343; RMG #4343 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4344; RMG #4344 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(125), C6H8(290); C6H7(239), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(239)+C6H8(125)<=>C6H7(123)+C6H8(290) 1.962000e-03 4.340 7.630 - -! Reaction index: Chemkin #4345; RMG #4345 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H8(290)<=>C4H8(157)+C6H7(239) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #4346; RMG #4346 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C5H7(174), C5H8(173); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(174)+C6H8(290)<=>C5H8(173)+C6H7(239) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #4347; RMG #4347 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C5H7(178), C5H8(180); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C6H8(290)<=>C5H8(180)+C6H7(239) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #4348; RMG #4348 -! Template reaction: H_Abstraction -! Flux pairs: C6H7(239), C6H8(290); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H7(239)<=>C5H5(189)+C6H8(290) 1.962000e-03 4.340 8.052 - -! Reaction index: Chemkin #4349; RMG #4349 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4350; RMG #4350 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(290) 5.258140e+13 -0.550 1.466 - -! Reaction index: Chemkin #4351; RMG #4351 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.225850e+27 -4.376 11.960 -DUPLICATE - -! Reaction index: Chemkin #4352; RMG #4352 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4353; RMG #4353 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(290) 1.225850e+27 -4.376 13.005 - -! Reaction index: Chemkin #4354; RMG #4354 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #4355; RMG #4355 -! Library reaction: restart -! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(239)+C6H9(160)<=>C6H8(290)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4356; RMG #4356 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(290) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4357; RMG #4357 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C10H13(202)<=>C6H7(239)+C10H14(179) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4358; RMG #4358 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C11H15(234)<=>C6H7(239)+C11H16(229) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4359; RMG #4359 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4360; RMG #4360 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(290) 1.225850e+27 -4.376 9.038 - -! Reaction index: Chemkin #4361; RMG #4361 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(290) 1.225850e+27 -4.376 13.179 - -! Reaction index: Chemkin #4362; RMG #4362 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(290) 2.451710e+27 -4.376 8.917 - -! Reaction index: Chemkin #4363; RMG #4363 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4364; RMG #4364 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C6H9(114)<=>C6H8(290)+C6H9R(285) 1.225850e+27 -4.376 11.960 - -! Reaction index: Chemkin #4365; RMG #4365 -! Library reaction: restart -! Flux pairs: H(82), C6H8(290); C6H7(239), C6H8(290); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C6H7(239)<=>C6H8(290) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #4366; RMG #4366 -! Library reaction: restart -! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(65)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322 - -! Reaction index: Chemkin #4367; RMG #4367 -! Library reaction: restart -! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(69)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322 - -! Reaction index: Chemkin #4368; RMG #4368 -! Library reaction: restart -! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(66)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4369; RMG #4369 -! Library reaction: restart -! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(68)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4370; RMG #4370 -! Library reaction: restart -! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(72)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322 - -! Reaction index: Chemkin #4371; RMG #4371 -! Library reaction: restart -! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(73)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4372; RMG #4372 -! Library reaction: restart -! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(71)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4373; RMG #4373 -! Library reaction: restart -! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(67)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4374; RMG #4374 -! Library reaction: restart -! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H17LR(70)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4375; RMG #4375 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C10H20R(64)<=>C6H8(290)+RC10(2) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4376; RMG #4376 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C10H20L(76)<=>C6H8(290)+LC10(3) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4377; RMG #4377 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(290) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4378; RMG #4378 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(290) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4379; RMG #4379 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10R(171)<=>C6H8(290)+C6H11R(17) 1.225850e+27 -4.376 10.493 - -! Reaction index: Chemkin #4380; RMG #4380 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(290)+C6H11R(17) 1.225850e+27 -4.376 8.821 - -! Reaction index: Chemkin #4381; RMG #4381 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4382; RMG #4382 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(290) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4383; RMG #4383 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H16L(15)<=>C6H8(290)+C8H15L(21) 1.225850e+27 -4.376 8.821 - -! Reaction index: Chemkin #4384; RMG #4384 -! Library reaction: restart -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H14R(9)<=>C6H8(290)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4385; RMG #4385 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(290) 1.225850e+27 -4.376 8.821 - -! Reaction index: Chemkin #4386; RMG #4386 -! Library reaction: restart -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H12L(11)<=>C6H8(290)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4387; RMG #4387 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(290)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4388; RMG #4388 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(290) 1.225850e+27 -4.376 7.322 - -! Reaction index: Chemkin #4389; RMG #4389 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C8H16L(15)<=>C6H8(290)+C8H17L(49) 1.225850e+27 -4.376 6.864 - -! Reaction index: Chemkin #4390; RMG #4390 -! Library reaction: restart -! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10R(171)<=>C6H8(290)+C6H11R(56) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4391; RMG #4391 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(290)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4392; RMG #4392 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4393; RMG #4393 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(290) 2.451710e+27 -4.376 9.481 - -! Reaction index: Chemkin #4394; RMG #4394 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(290) 5.258140e+13 -0.550 0.407 - -! Reaction index: Chemkin #4395; RMG #4395 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(290) 2.451710e+27 -4.376 9.481 - -! Reaction index: Chemkin #4396; RMG #4396 -! Library reaction: restart -! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(290) 5.258140e+13 -0.550 0.407 - -! Reaction index: Chemkin #4397; RMG #4397 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C8H16L(15)<=>C6H8(290)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4398; RMG #4398 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C7H14R(9)<=>C6H8(290)+C7H13R(62) 5.258140e+13 -0.550 0.351 - -! Reaction index: Chemkin #4399; RMG #4399 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C6H12L(11)<=>C6H8(290)+C6H11L(63) 5.258140e+13 -0.550 0.351 - -! Reaction index: Chemkin #4400; RMG #4400 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C6H9(114)<=>[H][H](83)+C6H8(290) 1.225850e+27 -4.376 5.618 - -! Reaction index: Chemkin #4401; RMG #4401 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(290) 1.225850e+27 -4.376 9.481 - -! Reaction index: Chemkin #4402; RMG #4402 -! Library reaction: restart -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H15(85)<=>C6H8(290)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 6.271 - -! Reaction index: Chemkin #4403; RMG #4403 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(290) 1.225850e+27 -4.376 6.168 - -! Reaction index: Chemkin #4404; RMG #4404 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10L(169)<=>C6H8(290)+C6H11L(107) 1.225850e+27 -4.376 10.889 - -! Reaction index: Chemkin #4405; RMG #4405 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(123), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C6H9(114)<=>C6H8(290)+C6H8(118) 2.451710e+27 -4.376 10.454 - -! Reaction index: Chemkin #4406; RMG #4406 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.225850e+27 -4.376 11.960 -DUPLICATE - -! Reaction index: Chemkin #4407; RMG #4407 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #4408; RMG #4408 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H12R(199)<=>C6H8(290)+C7H13R(120) 1.225850e+27 -4.376 10.889 - -! Reaction index: Chemkin #4409; RMG #4409 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C6H9(114)<=>C6H8(290)+C6H8(125) 2.451710e+27 -4.376 10.559 - -! Reaction index: Chemkin #4410; RMG #4410 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C10H13(202)<=>C6H8(290)+C10H14(179) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #4411; RMG #4411 -! Library reaction: restart -! Flux pairs: C6H9(114), C6H8(290); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(290) 6.129270e+27 -4.376 10.433 - -! Reaction index: Chemkin #4412; RMG #4412 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H13(191)<=>C6H8(290)+C8H12(194) 1.225850e+27 -4.376 9.038 - -! Reaction index: Chemkin #4413; RMG #4413 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H15(234)<=>C6H8(290)+C11H16(229) 1.225850e+27 -4.376 11.229 - -! Reaction index: Chemkin #4414; RMG #4414 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(260)<=>C6H8(290)+C9H12(272) 1.225850e+27 -4.376 9.038 - -! Reaction index: Chemkin #4415; RMG #4415 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H15(183)<=>C6H8(290)+C10H14(184) 1.225850e+27 -4.376 11.722 - -! Reaction index: Chemkin #4416; RMG #4416 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H13(202)<=>C6H8(290)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4417; RMG #4417 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(283)<=>C6H8(290)+C12H14(244) 1.225850e+27 -4.376 13.090 - -! Reaction index: Chemkin #4418; RMG #4418 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(256)<=>C6H8(290)+C11H14(271) 1.225850e+27 -4.376 11.722 - -! Reaction index: Chemkin #4419; RMG #4419 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(226)<=>C6H8(290)+C11H14(278) 1.225850e+27 -4.376 13.090 - -! Reaction index: Chemkin #4420; RMG #4420 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H4(196), C8H12R(291); C6H8R(287), C8H12R(291); -! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH -! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C2H4(196)+C6H8R(287)<=>C8H12R(291) 2.971820e+02 2.951 4.541 - -! Reaction index: Chemkin #4421; RMG #4421 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5L(91), C10H12L(292); C6H7(239), C10H12L(292); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H5L(91)+C6H7(239)<=>C10H12L(292) 1.190000e+04 2.410 10.290 - -! Reaction index: Chemkin #4422; RMG #4422 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H12L(293); C6H7(239), C9H12L(293); -! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H7(239)<=>C9H12L(293) 4.860000e+03 2.410 10.980 - -! Reaction index: Chemkin #4423; RMG #4423 -! Library reaction: restart -! Flux pairs: C12H18L(259), C12H18L(294); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C12H18L(259)<=>C12H18L(294) 1.260000e+11 0.160 5.938 - -! Reaction index: Chemkin #4424; RMG #4424 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H15LR(295); C6H8R(287), C11H15LR(295); -! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H8R(287)<=>C11H15LR(295) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #4425; RMG #4425 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(296); C6H8R(287), C12H15R(296); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(296) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4426; RMG #4426 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H14L(297); C6H7(239), C11H14L(297); -! From training reaction 296 used for Cds-HH_Cds-CdCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H7(239)<=>C11H14L(297) 4.920000e+03 2.410 8.150 - -! Reaction index: Chemkin #4427; RMG #4427 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H6(187), C11H13(298); C6H7(239), C11H13(298); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H6(187)+C6H7(239)<=>C11H13(298) 5.760000e+01 2.740 3.300 - -! Reaction index: Chemkin #4428; RMG #4428 -! Library reaction: restart -! Flux pairs: H(82), C11H14(276); C11H13(298), C11H14(276); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C11H13(298)<=>C11H14(276) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #4429; RMG #4429 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H13(298)<=>C3H5R(12)+C11H14(276) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4430; RMG #4430 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H13(298)<=>C6H11R(17)+C11H14(276) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4431; RMG #4431 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C11H13(298)<=>C3H6(18)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4432; RMG #4432 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C11H13(298)<=>C3H6(18)+C11H14(276) 2.451710e+27 -4.376 7.580 - -! Reaction index: Chemkin #4433; RMG #4433 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H13(298)<=>C2H3L(19)+C11H14(276) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4434; RMG #4434 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H13(298)<=>C8H15L(21)+C11H14(276) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4435; RMG #4435 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H13(298)<=>C5H9L(24)+C11H14(276) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4436; RMG #4436 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C11H13(298)<=>C6H11R(56)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4437; RMG #4437 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C11H13(298)<=>C5H9L(57)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4438; RMG #4438 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C11H13(298)<=>C3H5R(58)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4439; RMG #4439 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C11H13(298)<=>C3H5L(59)+C11H14(276) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #4440; RMG #4440 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C11H13(298)<=>C4H7R(60)+C11H14(276) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #4441; RMG #4441 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C11H13(298)<=>C8H15L(61)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4442; RMG #4442 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C11H13(298)<=>C7H13R(62)+C11H14(276) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4443; RMG #4443 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C11H13(298)<=>C6H11L(63)+C11H14(276) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4444; RMG #4444 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H13(298)<=>C6H8(118)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4445; RMG #4445 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H13(298)<=>C6H8(125)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4446; RMG #4446 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C11H13(298)<=>C6H8(125)+C11H14(276) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4447; RMG #4447 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C11H13(298)<=>C5H6(187)+C11H14(276) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4448; RMG #4448 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H13(298)<=>C6H6(252)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4449; RMG #4449 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C11H13(298)<=>C6H6(252)+C11H14(276) 1.225850e+27 -4.376 11.468 - -! Reaction index: Chemkin #4450; RMG #4450 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C11H13(298)<=>C5H7L(262)+C11H14(276) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #4451; RMG #4451 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H13(298)<=>C5H7L(262)+C11H14(276) 1.225850e+27 -4.376 10.329 - -! Reaction index: Chemkin #4452; RMG #4452 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C11H13(298)<=>C8H12(194)+C11H14(276) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4453; RMG #4453 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(298), C11H14(276); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C11H13(298)<=>C6H7(239)+C11H14(276) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4454; RMG #4454 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(298), C11H14(276); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C11H13(298)<=>C6H7(239)+C11H14(276) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4455; RMG #4455 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C11H13(298)<=>C9H12(272)+C11H14(276) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4456; RMG #4456 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C11H13(298)<=>C6H9R(285)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4457; RMG #4457 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H13(298)<=>C6H8(290)+C11H14(276) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #4458; RMG #4458 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H13LR(299); C6H8R(287), C9H13LR(299); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H8R(287)<=>C9H13LR(299) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #4459; RMG #4459 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(300); C6H8R(287), C12H15R(300); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(300) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4460; RMG #4460 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(301); C6H8R(287), C12H15R(301); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(301) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4461; RMG #4461 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(302); C6H8R(287), C12H15R(302); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(302) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4462; RMG #4462 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(303); C6H8R(287), C12H15R(303); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(303) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4463; RMG #4463 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(304); C6H8R(287), C12H15R(304); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(287)<=>C12H15R(304) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4464; RMG #4464 -! Library reaction: restart -! Flux pairs: C6H8R(287), C12H16R2(305); C6H8R(287), C12H16R2(305); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H8R(287)+C6H8R(287)<=>C12H16R2(305) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4465; RMG #4465 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(306); C6H8R(288), C12H15R(306); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H8R(288)<=>C12H15R(306) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #4466; RMG #4466 -! Library reaction: restart -! Flux pairs: C10H12L(292), C10H12L(307); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H -C10H12L(292)<=>C10H12L(307) 9.450000e+10 0.290 11.829 - -! Reaction index: Chemkin #4467; RMG #4467 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(308); C6H9(160), C12H16(308); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(160)<=>C12H16(308) 1.000000e+14 -0.000 0.000 - -! Reaction index: Chemkin #4468; RMG #4468 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(309); C6H9(160), C12H16(309); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(160)<=>C12H16(309) 1.000000e+14 -0.000 0.000 - -! Reaction index: Chemkin #4469; RMG #4469 -! Library reaction: restart -! Flux pairs: C13H20R(281), C13H20R(310); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C13H20R(281)<=>C13H20R(310) 1.260000e+11 0.160 5.938 - -! Reaction index: Chemkin #4470; RMG #4470 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H13(311); C6H7(239), C9H13(311); -! Estimated using template [Cds-HH_Cds-Cs\H3/H;CsJ-CdHH] for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H7(239)<=>C9H13(311) 7.800000e+02 2.530 11.000 - -! Reaction index: Chemkin #4471; RMG #4471 -! Library reaction: restart -! Flux pairs: C9H13(311), C9H13(312); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C9H13(311)<=>C9H13(312) 1.260000e+11 0.160 6.026 - -! Reaction index: Chemkin #4472; RMG #4472 -! Library reaction: restart -! Flux pairs: C9H13(311), C9H13(313); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C9H13(311)<=>C9H13(313) 1.260000e+11 0.160 9.310 - -! Reaction index: Chemkin #4473; RMG #4473 -! Library reaction: restart -! Flux pairs: C9H12L(241), C9H12L(314); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C9H12L(241)<=>C9H12L(314) 1.260000e+11 0.160 9.195 - -! Reaction index: Chemkin #4474; RMG #4474 -! Library reaction: restart -! Flux pairs: C6H8R(287), C12H16R2(315); C6H8R(287), C12H16R2(315); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H8R(287)+C6H8R(287)<=>C12H16R2(315) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4475; RMG #4475 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(298), C11H14(276); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C11H13(298)<=>C3H5(102)+C11H14(276) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4476; RMG #4476 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(276), C11H13(298); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C11H14(276)<=>CCL(26)+C11H13(298) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4477; RMG #4477 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H14R(316); C6H7(239), C10H14R(316); -! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H7(239)<=>C10H14R(316) 4.860000e+03 2.410 10.980 - -! Reaction index: Chemkin #4478; RMG #4478 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481 - -! Reaction index: Chemkin #4479; RMG #4479 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481 - -! Reaction index: Chemkin #4480; RMG #4480 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4481; RMG #4481 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4482; RMG #4482 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481 - -! Reaction index: Chemkin #4483; RMG #4483 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4484; RMG #4484 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4485; RMG #4485 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4486; RMG #4486 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4487; RMG #4487 -! Library reaction: restart -! Flux pairs: C10H20R(64), RC10(2); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C10H20R(64)<=>C10H13R(240)+RC10(2) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4488; RMG #4488 -! Library reaction: restart -! Flux pairs: C10H20L(76), LC10(3); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C10H20L(76)<=>C10H13R(240)+LC10(3) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4489; RMG #4489 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C10H14R(316)<=>C3H5R(12)+C10H13R(240) 1.225850e+27 -4.376 6.748 - -! Reaction index: Chemkin #4490; RMG #4490 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C10H14R(316)<=>CC(C)L(13)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4491; RMG #4491 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H14R(316)<=>CCCC(C)L(16)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4492; RMG #4492 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C10H14R(316)<=>C6H11R(17)+C10H13R(240) 1.225850e+27 -4.376 6.874 - -! Reaction index: Chemkin #4493; RMG #4493 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C10H14R(316)<=>C3H6(18)+C10H13R(240) 2.451710e+27 -4.376 6.124 - -! Reaction index: Chemkin #4494; RMG #4494 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C10H14R(316)<=>CC(C)CR(20)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4495; RMG #4495 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C10H14R(316)<=>CR(22)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4496; RMG #4496 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C10H14R(316)<=>CC(C)CC(C)CR(23)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4497; RMG #4497 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C10H14R(316)<=>C5H9L(24)+C10H13R(240) 1.225850e+27 -4.376 6.874 - -! Reaction index: Chemkin #4498; RMG #4498 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C10H14R(316)<=>CC(C)CC(C)L(25)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4499; RMG #4499 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H14R(316)<=>CCL(26)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4500; RMG #4500 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H14R(316)<=>CCCR(27)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4501; RMG #4501 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H14R(316)<=>CCCC(C)CR(32)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4502; RMG #4502 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C10H14R(316)<=>CC(L)CC(C)L(35)+C10H13R(240) 1.225850e+27 -4.376 4.481 - -! Reaction index: Chemkin #4503; RMG #4503 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H14R(316)<=>C8H17L(49)+C10H13R(240) 1.225850e+27 -4.376 4.144 - -! Reaction index: Chemkin #4504; RMG #4504 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H14R(316)<=>C6H11R(56)+C10H13R(240) 1.225850e+27 -4.376 7.179 - -! Reaction index: Chemkin #4505; RMG #4505 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C10H14R(316)<=>C6H11R(56)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4506; RMG #4506 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H14R(316)<=>C5H9L(57)+C10H13R(240) 1.225850e+27 -4.376 7.179 - -! Reaction index: Chemkin #4507; RMG #4507 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C10H14R(316)<=>C5H9L(57)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4508; RMG #4508 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C10H14R(316)<=>C3H5R(58)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4509; RMG #4509 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C10H14R(316)<=>C3H5L(59)+C10H13R(240) 2.451710e+27 -4.376 6.099 - -! Reaction index: Chemkin #4510; RMG #4510 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C10H14R(316)<=>C4H7R(60)+C10H13R(240) 2.451710e+27 -4.376 6.099 - -! Reaction index: Chemkin #4511; RMG #4511 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C10H14R(316)<=>C4H7R(60)+C10H13R(240) 1.225850e+27 -4.376 6.748 - -! Reaction index: Chemkin #4512; RMG #4512 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C10H14R(316)<=>C8H15L(61)+C10H13R(240) 1.225850e+27 -4.376 7.179 - -! Reaction index: Chemkin #4513; RMG #4513 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C10H14R(316)<=>C7H13R(62)+C10H13R(240) 1.225850e+27 -4.376 6.874 - -! Reaction index: Chemkin #4514; RMG #4514 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C10H14R(316)<=>C6H11L(63)+C10H13R(240) 1.225850e+27 -4.376 6.874 - -! Reaction index: Chemkin #4515; RMG #4515 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C10H14R(316)<=>C(75)+C10H13R(240) 1.225850e+27 -4.376 3.120 - -! Reaction index: Chemkin #4516; RMG #4516 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C10H14R(316)<=>C4H7R(81)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4517; RMG #4517 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C10H14R(316)<=>[H][H](83)+C10H13R(240) 1.225850e+27 -4.376 3.245 - -! Reaction index: Chemkin #4518; RMG #4518 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H14R(316)<=>C5H9L(84)+C10H13R(240) 1.225850e+27 -4.376 6.862 - -! Reaction index: Chemkin #4519; RMG #4519 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C10H14R(316)<=>C3H5L(86)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4520; RMG #4520 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C10H14R(316)<=>CC(C)CC(C)C(87)+C10H13R(240) 1.225850e+27 -4.376 3.713 - -! Reaction index: Chemkin #4521; RMG #4521 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C10H14R(316)<=>CCC(95)+C10H13R(240) 1.225850e+27 -4.376 4.127 - -! Reaction index: Chemkin #4522; RMG #4522 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C10H14R(316)<=>CCC(95)+C10H13R(240) 1.225850e+27 -4.376 3.639 - -! Reaction index: Chemkin #4523; RMG #4523 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H14R(316)<=>C6H11R(98)+C10H13R(240) 1.225850e+27 -4.376 6.862 - -! Reaction index: Chemkin #4524; RMG #4524 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C10H14R(316)<=>C6H11L(107)+C10H13R(240) 1.225850e+27 -4.376 7.179 - -! Reaction index: Chemkin #4525; RMG #4525 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C10H14R(316)<=>C6H11L(107)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4526; RMG #4526 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C10H14R(316)<=>C6H10(110)+C10H13R(240) 1.225850e+27 -4.376 8.101 - -! Reaction index: Chemkin #4527; RMG #4527 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C10H14R(316)<=>C6H10(116)+C10H13R(240) 2.451710e+27 -4.376 7.443 - -! Reaction index: Chemkin #4528; RMG #4528 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C10H14R(316)<=>C6H10(116)+C10H13R(240) 1.225850e+27 -4.376 7.443 - -! Reaction index: Chemkin #4529; RMG #4529 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C10H14R(316)<=>C6H8(118)+C10H13R(240) 2.451710e+27 -4.376 6.844 - -! Reaction index: Chemkin #4530; RMG #4530 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H14R(316)<=>C6H8(118)+C10H13R(240) 1.225850e+27 -4.376 8.012 - -! Reaction index: Chemkin #4531; RMG #4531 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C10H14R(316)<=>C7H13R(120)+C10H13R(240) 1.225850e+27 -4.376 7.179 - -! Reaction index: Chemkin #4532; RMG #4532 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C10H14R(316)<=>C7H13R(120)+C10H13R(240) 1.225850e+27 -4.376 6.099 - -! Reaction index: Chemkin #4533; RMG #4533 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C10H14R(316)<=>C6H8(125)+C10H13R(240) 2.451710e+27 -4.376 6.924 - -! Reaction index: Chemkin #4534; RMG #4534 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C10H14R(316)<=>C4H8(157)+C10H13R(240) 2.451710e+27 -4.376 5.813 - -! Reaction index: Chemkin #4535; RMG #4535 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C10H14R(316)<=>C5H8(173)+C10H13R(240) 2.451710e+27 -4.376 8.012 - -! Reaction index: Chemkin #4536; RMG #4536 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H14(179); C10H13(202), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C10H14R(316)<=>C10H13R(240)+C10H14(179) 1.225850e+27 -4.376 7.503 - -! Reaction index: Chemkin #4537; RMG #4537 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C10H14R(316)<=>C5H8(180)+C10H13R(240) 2.451710e+27 -4.376 7.443 - -! Reaction index: Chemkin #4538; RMG #4538 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C10H14R(316)<=>C5H6(187)+C10H13R(240) 6.129270e+27 -4.376 6.827 - -! Reaction index: Chemkin #4539; RMG #4539 -! Library reaction: restart -! Flux pairs: C11H15(234), C11H16(229); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C11H15(234)<=>C10H13R(240)+C11H16(229) 1.225850e+27 -4.376 7.443 - -! Reaction index: Chemkin #4540; RMG #4540 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C10H14R(316)<=>C6H9R(285)+C10H13R(240) 1.225850e+27 -4.376 8.012 - -! Reaction index: Chemkin #4541; RMG #4541 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H14R(316)<=>C6H8(290)+C10H13R(240) 1.225850e+27 -4.376 8.832 - -! Reaction index: Chemkin #4542; RMG #4542 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C10H14R(316); C10H13R(240), C10H14R(316); -! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C10H13R(240)<=>C10H14R(316) 1.691000e+10 1.168 2.996 - -! Reaction index: Chemkin #4543; RMG #4543 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(317); C6H8R(288), C12H15R(317); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H8R(288)<=>C12H15R(317) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #4544; RMG #4544 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(60), C10H15R2(318); C6H8R(287), C10H15R2(318); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C4H7R(60)+C6H8R(287)<=>C10H15R2(318) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #4545; RMG #4545 -! Library reaction: restart -! Flux pairs: C6H8R(287), C12H16R2(319); C6H8R(287), C12H16R2(319); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H8R(287)+C6H8R(287)<=>C12H16R2(319) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4546; RMG #4546 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(320); C6H8R(288), C12H15R(320); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H8R(288)<=>C12H15R(320) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #4547; RMG #4547 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(321); C6H8R(288), C12H15R(321); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -C6H7(239)+C6H8R(288)<=>C12H15R(321) 5.000000e+13 -0.000 0.000 - -! Reaction index: Chemkin #4548; RMG #4548 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(322); C6H8R(287), C12H15R(322); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H7(239)+C6H8R(287)<=>C12H15R(322) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4549; RMG #4549 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(323); C6H8(125), C12H15(323); -! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(125)<=>C12H15(323) 2.880000e+01 2.740 3.300 - -! Reaction index: Chemkin #4550; RMG #4550 -! Library reaction: restart -! Flux pairs: H(82), C12H16(269); C12H15(323), C12H16(269); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO -H(82)+C12H15(323)<=>C12H16(269) 3.680110e+13 -0.486 0.000 - -! Reaction index: Chemkin #4551; RMG #4551 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H15(323)<=>C3H5R(12)+C12H16(269) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4552; RMG #4552 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H15(323)<=>C6H11R(17)+C12H16(269) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4553; RMG #4553 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C12H15(323)<=>C3H6(18)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4554; RMG #4554 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C12H15(323)<=>C3H6(18)+C12H16(269) 2.451710e+27 -4.376 7.580 - -! Reaction index: Chemkin #4555; RMG #4555 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H15(323)<=>C2H3L(19)+C12H16(269) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4556; RMG #4556 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H15(323)<=>C8H15L(21)+C12H16(269) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4557; RMG #4557 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H15(323)<=>C5H9L(24)+C12H16(269) 1.225850e+27 -4.376 7.493 - -! Reaction index: Chemkin #4558; RMG #4558 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C12H15(323)<=>C6H11R(56)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4559; RMG #4559 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C12H15(323)<=>C5H9L(57)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4560; RMG #4560 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C12H15(323)<=>C3H5R(58)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4561; RMG #4561 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C12H15(323)<=>C3H5L(59)+C12H16(269) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #4562; RMG #4562 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C12H15(323)<=>C4H7R(60)+C12H16(269) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #4563; RMG #4563 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C12H15(323)<=>C8H15L(61)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4564; RMG #4564 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C12H15(323)<=>C7H13R(62)+C12H16(269) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4565; RMG #4565 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C12H15(323)<=>C6H11L(63)+C12H16(269) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4566; RMG #4566 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(323)<=>C6H8(118)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4567; RMG #4567 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(323)<=>C6H8(125)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4568; RMG #4568 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C12H15(323)<=>C6H8(125)+C12H16(269) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4569; RMG #4569 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C12H15(323)<=>C5H6(187)+C12H16(269) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4570; RMG #4570 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(323)<=>C6H6(252)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4571; RMG #4571 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C12H15(323)<=>C6H6(252)+C12H16(269) 1.225850e+27 -4.376 11.468 - -! Reaction index: Chemkin #4572; RMG #4572 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C12H15(323)<=>C5H7L(262)+C12H16(269) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #4573; RMG #4573 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(323)<=>C5H7L(262)+C12H16(269) 1.225850e+27 -4.376 10.329 - -! Reaction index: Chemkin #4574; RMG #4574 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C12H15(323)<=>C8H12(194)+C12H16(269) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4575; RMG #4575 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C12H15(323)<=>C6H7(239)+C12H16(269) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4576; RMG #4576 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C12H15(323)<=>C6H7(239)+C12H16(269) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #4577; RMG #4577 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C12H15(323)<=>C5H7(174)+C12H16(269) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4578; RMG #4578 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C12H15(323)<=>C10H13R(240)+C12H16(269) 1.225850e+27 -4.376 7.503 - -! Reaction index: Chemkin #4579; RMG #4579 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C11H15(256), C11H14(271); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(256)+C12H15(323)<=>C11H14(271)+C12H16(269) 1.225850e+27 -4.376 10.132 - -! Reaction index: Chemkin #4580; RMG #4580 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C12H15(323)<=>C9H12(272)+C12H16(269) 1.225850e+27 -4.376 7.689 - -! Reaction index: Chemkin #4581; RMG #4581 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C12H15(323)<=>C6H9R(285)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4582; RMG #4582 -! Library reaction: restart -! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H15(323)<=>C6H8(290)+C12H16(269) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #4583; RMG #4583 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H5R(220), C10H12R(324); C6H7(239), C10H12R(324); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H5R(220)+C6H7(239)<=>C10H12R(324) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #4584; RMG #4584 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(325), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(65)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4585; RMG #4585 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(325), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(69)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4586; RMG #4586 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(66)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4587; RMG #4587 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(68)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4588; RMG #4588 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(325), C6H10L(169); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(72)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4589; RMG #4589 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(73)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4590; RMG #4590 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(71)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4591; RMG #4591 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(67)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4592; RMG #4592 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C9H17LR(70)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4593; RMG #4593 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C10H20R(64)<=>C6H10L(169)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4594; RMG #4594 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C10H20L(76)<=>C6H10L(169)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4595; RMG #4595 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11L(325)<=>C3H5R(12)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4596; RMG #4596 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H11L(325)<=>CC(C)L(13)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4597; RMG #4597 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H11L(325)<=>CCCC(C)L(16)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4598; RMG #4598 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11R(17); C6H10R(171), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11L(325)<=>C6H10L(169)+C6H11R(17) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4599; RMG #4599 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C6H11L(325)<=>C3H6(18)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4600; RMG #4600 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H11L(325)<=>CC(C)CR(20)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4601; RMG #4601 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C6H11L(325)<=>CR(22)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4602; RMG #4602 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C7H14R(9)<=>C6H10L(169)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4603; RMG #4603 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11L(325)<=>C5H9L(24)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4604; RMG #4604 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C6H12L(11)<=>C6H10L(169)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4605; RMG #4605 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C6H11L(325)<=>CCL(26)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4606; RMG #4606 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C6H11L(325)<=>CCCR(27)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4607; RMG #4607 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C[CH]CC(C)CR(5)<=>C6H10L(169)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4608; RMG #4608 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C6H11L(325)<=>CC(L)CC(C)L(35)+C6H10L(169) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4609; RMG #4609 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C8H16L(15)<=>C6H10L(169)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4610; RMG #4610 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11R(56); C6H10R(90), C6H10L(169); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C6H11L(325)<=>C6H10L(169)+C6H11R(56) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4611; RMG #4611 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11R(56); C6H10R(171), C6H10L(169); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C6H11L(325)<=>C6H10L(169)+C6H11R(56) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4612; RMG #4612 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(77), C5H9L(57); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C6H11L(325)<=>C5H9L(57)+C6H10L(169) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4613; RMG #4613 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C6H11L(325)<=>C5H9L(57)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4614; RMG #4614 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C6H11L(325)<=>C3H5R(58)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4615; RMG #4615 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C6H11L(325)<=>C3H5L(59)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4616; RMG #4616 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C6H11L(325)<=>C4H7R(60)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4617; RMG #4617 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11L(325)<=>C4H7R(60)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4618; RMG #4618 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C6H11L(325), C6H10L(169); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C8H14L(112)<=>C6H10L(169)+C8H15L(61) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4619; RMG #4619 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C7H12R(108)<=>C6H10L(169)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4620; RMG #4620 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11L(63); C6H10L(103), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11L(325)<=>C6H10L(169)+C6H11L(63) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4621; RMG #4621 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C6H11L(325)<=>C(75)+C6H10L(169) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #4622; RMG #4622 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C6H11L(325)<=>C4H7R(81)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4623; RMG #4623 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C6H11L(325)<=>[H][H](83)+C6H10L(169) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #4624; RMG #4624 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C6H11L(325)<=>C5H9L(84)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4625; RMG #4625 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C6H11L(325)<=>C3H5L(86)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4626; RMG #4626 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C7H15(85)<=>C6H10L(169)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4627; RMG #4627 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C6H11L(325)<=>CCC(95)+C6H10L(169) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4628; RMG #4628 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C6H11L(325)<=>CCC(95)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4629; RMG #4629 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11R(98); C6H10R(90), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C6H11L(325)<=>C6H10L(169)+C6H11R(98) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4630; RMG #4630 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11L(107); C6H10L(169), C6H10L(169); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(169)+C6H11L(325)<=>C6H10L(169)+C6H11L(107) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4631; RMG #4631 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H11L(107); C6H10L(103), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C6H11L(325)<=>C6H10L(169)+C6H11L(107) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4632; RMG #4632 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C6H11L(325)<=>C6H10(110)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4633; RMG #4633 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C6H11L(325)<=>C6H10(116)+C6H10L(169) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #4634; RMG #4634 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C6H11L(325)<=>C6H10(116)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4635; RMG #4635 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11L(325)<=>C6H8(118)+C6H10L(169) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #4636; RMG #4636 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(169), C6H11L(325); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C6H10L(169)<=>C6H7(239)+C6H11L(325) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #4637; RMG #4637 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C6H11L(325), C6H10L(169); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C7H12R(199)<=>C6H10L(169)+C7H13R(120) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4638; RMG #4638 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C7H12R(108)<=>C6H10L(169)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4639; RMG #4639 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C6H11L(325)<=>C6H8(125)+C6H10L(169) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #4640; RMG #4640 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C6H11L(325)<=>C4H8(157)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4641; RMG #4641 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C6H11L(325)<=>C5H8(173)+C6H10L(169) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4642; RMG #4642 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H10L(169)<=>C5H6(187)+C6H11L(325) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4643; RMG #4643 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C10H13(202)<=>C6H10L(169)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4644; RMG #4644 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C6H11L(325)<=>C5H8(180)+C6H10L(169) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #4645; RMG #4645 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C6H11L(325)<=>C5H6(187)+C6H10L(169) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #4646; RMG #4646 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C11H15(234)<=>C6H10L(169)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4647; RMG #4647 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10L(169)<=>C6H6(252)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4648; RMG #4648 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11L(325)<=>C6H9R(285)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4649; RMG #4649 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C6H11L(325)<=>C6H8(290)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4650; RMG #4650 -! Library reaction: restart -! Flux pairs: CH3(74), C6H11L(325); C5H8L(77), C6H11L(325); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C5H8L(77)<=>C6H11L(325) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4651; RMG #4651 -! Library reaction: restart -! Flux pairs: H(82), C6H11L(325); C6H10L(169), C6H11L(325); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C6H10L(169)<=>C6H11L(325) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #4652; RMG #4652 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10L(169)<=>C3H5R(12)+C6H11L(325) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4653; RMG #4653 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11L(325); C6H10L(169), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(325) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4654; RMG #4654 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H10L(169)<=>C3H6(18)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4655; RMG #4655 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H10L(169)<=>C3H6(18)+C6H11L(325) 2.451710e+27 -4.376 7.295 - -! Reaction index: Chemkin #4656; RMG #4656 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10L(169)<=>C2H3L(19)+C6H11L(325) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4657; RMG #4657 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C8H16L(15)<=>C6H11L(325)+C8H15L(21) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4658; RMG #4658 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(24)+C6H11L(325) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4659; RMG #4659 -! Library reaction: restart -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11L(325)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4660; RMG #4660 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(57)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4661; RMG #4661 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H10L(169)<=>C3H5R(58)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4662; RMG #4662 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H10L(169)<=>C3H5L(59)+C6H11L(325) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4663; RMG #4663 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H10L(169)<=>C4H7R(60)+C6H11L(325) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4664; RMG #4664 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C8H16L(15)<=>C6H11L(325)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4665; RMG #4665 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(169)+C7H14R(9)<=>C6H11L(325)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4666; RMG #4666 -! Library reaction: restart -! Flux pairs: C6H12L(11), C6H11L(325); C6H10L(169), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(169)+C6H12L(11)<=>C6H11L(63)+C6H11L(325) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4667; RMG #4667 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(169)<=>C6H8(118)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4668; RMG #4668 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C6H10L(169)<=>C6H8(125)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4669; RMG #4669 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C6H10L(169)<=>C6H8(125)+C6H11L(325) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4670; RMG #4670 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C8H13(191)<=>C6H11L(325)+C8H12(194) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4671; RMG #4671 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H10L(169)<=>C6H6(252)+C6H11L(325) 1.225850e+27 -4.376 11.099 - -! Reaction index: Chemkin #4672; RMG #4672 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10L(169)<=>C5H7L(262)+C6H11L(325) 5.258140e+13 -0.550 0.687 - -! Reaction index: Chemkin #4673; RMG #4673 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10L(169)<=>C5H7L(262)+C6H11L(325) 1.225850e+27 -4.376 9.983 - -! Reaction index: Chemkin #4674; RMG #4674 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C6H10L(169)<=>C6H9R(285)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4675; RMG #4675 -! Library reaction: restart -! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10L(169)<=>C6H8(290)+C6H11L(325) 1.225850e+27 -4.376 10.941 - -! Reaction index: Chemkin #4676; RMG #4676 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C10H15(183)<=>C6H11L(325)+C10H14(184) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #4677; RMG #4677 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H13(202)<=>C6H11L(325)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4678; RMG #4678 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C10H14R(316)<=>C6H11L(325)+C10H13R(240) 1.225850e+27 -4.376 7.220 - -! Reaction index: Chemkin #4679; RMG #4679 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H15(283)<=>C6H11L(325)+C12H14(244) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #4680; RMG #4680 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(256)<=>C6H11L(325)+C11H14(271) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #4681; RMG #4681 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H13(260)<=>C6H11L(325)+C9H12(272) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4682; RMG #4682 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(226)<=>C6H11L(325)+C11H14(278) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #4683; RMG #4683 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(104), C11H14L(326); C6H7(239), C11H14L(326); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H7L(104)+C6H7(239)<=>C11H14L(326) 1.190000e+04 2.410 10.290 - -! Reaction index: Chemkin #4684; RMG #4684 -! Library reaction: restart -! Flux pairs: C11H14L(326), C11H14L(327); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H -C11H14L(326)<=>C11H14L(327) 9.450000e+10 0.290 11.829 - -! Reaction index: Chemkin #4685; RMG #4685 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C12H15(323)<=>C3H5(102)+C12H16(269) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #4686; RMG #4686 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), C8H10L(328); C6H7(239), C8H10L(328); -! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C2H3L(19)+C6H7(239)<=>C8H10L(328) 3.860000e+03 2.410 11.370 - -! Reaction index: Chemkin #4687; RMG #4687 -! Library reaction: restart -! Flux pairs: C5H5(189), C11H12(329); C6H7(239), C11H12(329); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C6H7(239)<=>C11H12(329) 2.500000e+14 -0.000 0.000 - -! Reaction index: Chemkin #4688; RMG #4688 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C11H13(298); C11H12(329), C11H13(298); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -H(82)+C11H12(329)<=>C11H13(298) 3.300000e+09 1.480 0.900 - -! Reaction index: Chemkin #4689; RMG #4689 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(323)<=>C9H17LR(65)+C12H16(269) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #4690; RMG #4690 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(323)<=>C9H17LR(69)+C12H16(269) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #4691; RMG #4691 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4692; RMG #4692 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4693; RMG #4693 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(323)<=>C9H17LR(72)+C12H16(269) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #4694; RMG #4694 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4695; RMG #4695 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4696; RMG #4696 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4697; RMG #4697 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4698; RMG #4698 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(65)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4699; RMG #4699 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(69)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4700; RMG #4700 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(66)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4701; RMG #4701 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(68)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4702; RMG #4702 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(72)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4703; RMG #4703 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(73)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4704; RMG #4704 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(71)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4705; RMG #4705 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(67)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4706; RMG #4706 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(70)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4707; RMG #4707 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H20R(64)+C11H13(298)<=>RC10(2)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4708; RMG #4708 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H20L(76)+C11H13(298)<=>LC10(3)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4709; RMG #4709 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C11H13(298)<=>C3H5R(12)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4710; RMG #4710 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C11H13(298)<=>CC(C)L(13)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4711; RMG #4711 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C11H13(298)<=>CCCC(C)L(16)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4712; RMG #4712 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C11H13(298)<=>C6H11R(17)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4713; RMG #4713 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C11H13(298)<=>C3H6(18)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4714; RMG #4714 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C11H13(298)<=>CC(C)CR(20)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4715; RMG #4715 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C11H13(298)<=>CR(22)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4716; RMG #4716 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C11H13(298)<=>CC(C)CC(C)CR(23)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4717; RMG #4717 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C11H13(298)<=>C5H9L(24)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4718; RMG #4718 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C11H13(298)<=>CC(C)CC(C)L(25)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4719; RMG #4719 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C12H16(269)<=>CCL(26)+C12H15(323) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4720; RMG #4720 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C11H13(298)<=>CCL(26)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4721; RMG #4721 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C12H16(269)<=>CCCR(27)+C12H15(323) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4722; RMG #4722 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C11H13(298)<=>CCCR(27)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4723; RMG #4723 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C11H13(298)<=>CCCC(C)CR(32)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4724; RMG #4724 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C11H13(298)<=>CC(L)CC(C)L(35)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4725; RMG #4725 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C11H13(298)<=>C8H17L(49)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4726; RMG #4726 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C11H13(298)<=>C6H11R(56)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4727; RMG #4727 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C11H13(298)<=>C6H11R(56)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4728; RMG #4728 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C11H13(298)<=>C5H9L(57)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4729; RMG #4729 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C11H13(298)<=>C5H9L(57)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4730; RMG #4730 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C12H16(269)<=>C3H5R(58)+C12H15(323) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4731; RMG #4731 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C11H13(298)<=>C3H5R(58)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4732; RMG #4732 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C12H16(269)<=>C3H5L(59)+C12H15(323) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #4733; RMG #4733 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C11H13(298)<=>C3H5L(59)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4734; RMG #4734 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C11H13(298)<=>C4H7R(60)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4735; RMG #4735 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C11H13(298)<=>C4H7R(60)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4736; RMG #4736 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C11H13(298)<=>C8H15L(61)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4737; RMG #4737 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C11H13(298)<=>C7H13R(62)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4738; RMG #4738 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C11H13(298)<=>C6H11L(63)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4739; RMG #4739 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C11H13(298)<=>C(75)+C11H12(329) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #4740; RMG #4740 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C11H13(298)<=>C(75)+C11H12(329) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #4741; RMG #4741 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C12H16(269)<=>C4H7R(81)+C12H15(323) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #4742; RMG #4742 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C11H13(298)<=>C4H7R(81)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4743; RMG #4743 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C11H13(298)<=>[H][H](83)+C11H12(329) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #4744; RMG #4744 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C11H13(298)<=>C5H9L(84)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4745; RMG #4745 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C11H13(298)<=>C3H5L(86)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4746; RMG #4746 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C11H13(298)<=>CC(C)CC(C)C(87)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4747; RMG #4747 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C11H13(298)<=>CCC(95)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4748; RMG #4748 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C11H13(298)<=>CCC(95)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4749; RMG #4749 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C11H13(298)<=>C6H11R(98)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4750; RMG #4750 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C11H13(298)<=>C6H11L(107)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4751; RMG #4751 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C11H13(298)<=>C6H11L(107)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4752; RMG #4752 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C11H13(298)<=>C6H10(110)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4753; RMG #4753 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C11H13(298)<=>C6H10(116)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4754; RMG #4754 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H13(298)<=>C6H10(116)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4755; RMG #4755 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C11H13(298)<=>C6H8(118)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4756; RMG #4756 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H13(298)<=>C6H8(118)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4757; RMG #4757 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C11H13(298)<=>C7H13R(120)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4758; RMG #4758 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C11H13(298)<=>C7H13R(120)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4759; RMG #4759 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C11H13(298)<=>C6H8(125)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4760; RMG #4760 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C11H13(298)<=>C4H8(157)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4761; RMG #4761 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C11H13(298)<=>C5H8(173)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4762; RMG #4762 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C11H13(298)<=>C5H8(180)+C11H12(329) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4763; RMG #4763 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C11H13(298)<=>C5H6(187)+C11H12(329) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #4764; RMG #4764 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C11H13(298)<=>C6H9R(285)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4765; RMG #4765 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H13(298)<=>C6H8(290)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4766; RMG #4766 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C11H13(298)<=>C6H11L(325)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4767; RMG #4767 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(330), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(65)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4768; RMG #4768 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(330), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(69)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4769; RMG #4769 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(66)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4770; RMG #4770 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(68)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4771; RMG #4771 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(330), C7H12R(199); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(72)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4772; RMG #4772 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(73)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4773; RMG #4773 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(71)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4774; RMG #4774 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(67)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4775; RMG #4775 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C9H17LR(70)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4776; RMG #4776 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C10H20R(64)<=>C7H12R(199)+RC10(2) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4777; RMG #4777 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C10H20L(76)<=>C7H12R(199)+LC10(3) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4778; RMG #4778 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C3H4R(78), C3H5R(12); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C7H13R(330)<=>C3H5R(12)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4779; RMG #4779 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)L(4)+C7H13R(330)<=>CC(C)L(13)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4780; RMG #4780 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C7H13R(330)<=>CCCC(C)L(16)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4781; RMG #4781 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(171), C6H11R(17); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C7H13R(330)<=>C6H11R(17)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4782; RMG #4782 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C3H5(102), C3H6(18); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5(102)+C7H13R(330)<=>C3H6(18)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4783; RMG #4783 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C7H13R(330)<=>CC(C)CR(20)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4784; RMG #4784 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]R(14)+C7H13R(330)<=>CR(22)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4785; RMG #4785 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C7H14R(9)<=>C7H12R(199)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4786; RMG #4786 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(89), C5H9L(24); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C7H13R(330)<=>C5H9L(24)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4787; RMG #4787 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H12L(11)+C7H13R(330)<=>CC(C)CC(C)L(25)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4788; RMG #4788 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]L(8)+C7H13R(330)<=>CCL(26)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4789; RMG #4789 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CR(10)+C7H13R(330)<=>CCCR(27)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4790; RMG #4790 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C7H13R(330)<=>CCCC(C)CR(32)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4791; RMG #4791 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(90), C6H11R(56); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C7H13R(330)<=>C6H11R(56)+C7H12R(199) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4792; RMG #4792 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(171), C6H11R(56); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(171)+C7H13R(330)<=>C6H11R(56)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4793; RMG #4793 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(77), C5H9L(57); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C7H13R(330)<=>C5H9L(57)+C7H12R(199) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4794; RMG #4794 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(89), C5H9L(57); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(89)+C7H13R(330)<=>C5H9L(57)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4795; RMG #4795 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C3H4R(78), C3H5R(58); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4R(78)+C7H13R(330)<=>C3H5R(58)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4796; RMG #4796 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(147)+C7H13R(330)<=>C3H5L(59)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4797; RMG #4797 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(224)+C7H13R(330)<=>C4H7R(60)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4798; RMG #4798 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(79), C4H7R(60); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C7H13R(330)<=>C4H7R(60)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4799; RMG #4799 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C7H13R(330), C7H12R(199); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C8H14L(112)<=>C7H12R(199)+C8H15L(61) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4800; RMG #4800 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H13R(62); C7H12R(108), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C7H13R(330)<=>C7H12R(199)+C7H13R(62) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4801; RMG #4801 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(103), C6H11L(63); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C7H13R(330)<=>C6H11L(63)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4802; RMG #4802 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); CH3(74), C(75); -! From training reaction 1082 used for C/H/Cs2Cd;C_methyl -! Exact match found for rate rule [C/H/Cs2Cd;C_methyl] -! Euclidian distance = 0 -! family: H_Abstraction -CH3(74)+C7H13R(330)<=>C(75)+C7H12R(199) 5.870000e-03 4.340 2.200 - -! Reaction index: Chemkin #4803; RMG #4803 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6R(79)+C7H13R(330)<=>C4H7R(81)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4804; RMG #4804 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); H(82), [H][H](83); -! From training reaction 1081 used for C/H/Cs2Cd;H_rad -! Exact match found for rate rule [C/H/Cs2Cd;H_rad] -! Euclidian distance = 0 -! family: H_Abstraction -H(82)+C7H13R(330)<=>[H][H](83)+C7H12R(199) 2.480000e-01 4.340 0.100 - -! Reaction index: Chemkin #4805; RMG #4805 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(77), C5H9L(84); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H8L(77)+C7H13R(330)<=>C5H9L(84)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4806; RMG #4806 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C3H4L(219), C3H5L(86); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C3H4L(219)+C7H13R(330)<=>C3H5L(86)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4807; RMG #4807 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C7H15(85)<=>C7H12R(199)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4808; RMG #4808 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C[CH]C(94), CCC(95); -! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! family: H_Abstraction -C[CH]C(94)+C7H13R(330)<=>CCC(95)+C7H12R(199) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4809; RMG #4809 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]CC(195)+C7H13R(330)<=>CCC(95)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4810; RMG #4810 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(90), C6H11R(98); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10R(90)+C7H13R(330)<=>C6H11R(98)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4811; RMG #4811 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(169), C6H11L(107); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(169)+C7H13R(330)<=>C6H11L(107)+C7H12R(199) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4812; RMG #4812 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(103)+C7H13R(330)<=>C6H11L(107)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4813; RMG #4813 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H9(113), C6H10(110); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(113)+C7H13R(330)<=>C6H10(110)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4814; RMG #4814 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H9(160), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(160)+C7H13R(330)<=>C6H10(116)+C7H12R(199) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #4815; RMG #4815 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H9(114), C6H10(116); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H9(114)+C7H13R(330)<=>C6H10(116)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4816; RMG #4816 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H7(123), C6H8(118); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C7H13R(330)<=>C6H8(118)+C7H12R(199) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #4817; RMG #4817 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(330); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C7H12R(199)<=>C6H7(239)+C7H13R(330) 4.200000e-04 4.340 13.600 - -! Reaction index: Chemkin #4818; RMG #4818 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H13R(120); C7H12R(199), C7H12R(199); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(199)+C7H13R(330)<=>C7H12R(199)+C7H13R(120) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4819; RMG #4819 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H13R(120); C7H12R(108), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd] -! Euclidian distance = 0 -! family: H_Abstraction -C7H12R(108)+C7H13R(330)<=>C7H12R(199)+C7H13R(120) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4820; RMG #4820 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H7(123), C6H8(125); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(123)+C7H13R(330)<=>C6H8(125)+C7H12R(199) 2.920000e-03 4.340 12.900 - -! Reaction index: Chemkin #4821; RMG #4821 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C4H7(156), C4H8(157); -! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7(156)+C7H13R(330)<=>C4H8(157)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4822; RMG #4822 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H7(174), C5H8(173); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(174)+C7H13R(330)<=>C5H8(173)+C7H12R(199) 5.560000e-03 4.340 8.900 - -! Reaction index: Chemkin #4823; RMG #4823 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H7(178), C5H8(180); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H7(178)+C7H13R(330)<=>C5H8(180)+C7H12R(199) 2.300000e-03 4.340 9.300 - -! Reaction index: Chemkin #4824; RMG #4824 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H5(189), C5H6(187); -! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 5.0 -! family: H_Abstraction -C5H5(189)+C7H13R(330)<=>C5H6(187)+C7H12R(199) 7.300000e-03 4.340 12.900 - -! Reaction index: Chemkin #4825; RMG #4825 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L2(203)+C7H13R(330)<=>CC(L)CC(C)L(35)+C7H12R(199) 2.860000e-04 4.340 0.200 - -! Reaction index: Chemkin #4826; RMG #4826 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C8H16L(15)<=>C7H12R(199)+C8H17L(49) 4.260000e-04 4.340 1.600 - -! Reaction index: Chemkin #4827; RMG #4827 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C7H13R(330), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C11H15(234)<=>C7H12R(199)+C11H16(229) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4828; RMG #4828 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C7H13R(330), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C10H13(202)<=>C7H12R(199)+C10H14(179) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4829; RMG #4829 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C7H12R(199)<=>C6H6(252)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4830; RMG #4830 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H8R(287), C6H9R(285); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C7H13R(330)<=>C6H9R(285)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #4831; RMG #4831 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H7(239), C6H8(290); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H7(239)+C7H13R(330)<=>C6H8(290)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #4832; RMG #4832 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(169), C6H11L(325); -! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2] -! Euclidian distance = 0 -! family: H_Abstraction -C6H10L(169)+C7H13R(330)<=>C6H11L(325)+C7H12R(199) 1.190000e-04 4.340 8.300 - -! Reaction index: Chemkin #4833; RMG #4833 -! Library reaction: restart -! Flux pairs: CH3(74), C7H13R(330); C6H10R(90), C7H13R(330); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -CH3(74)+C6H10R(90)<=>C7H13R(330) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4834; RMG #4834 -! Library reaction: restart -! Flux pairs: H(82), C7H13R(330); C7H12R(199), C7H13R(330); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R -H(82)+C7H12R(199)<=>C7H13R(330) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #4835; RMG #4835 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C7H12R(199)<=>C3H5R(12)+C7H13R(330) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4836; RMG #4836 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(17)+C7H13R(330) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4837; RMG #4837 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C7H12R(199)<=>C3H6(18)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4838; RMG #4838 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C7H12R(199)<=>C3H6(18)+C7H13R(330) 2.451710e+27 -4.376 7.295 - -! Reaction index: Chemkin #4839; RMG #4839 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C7H12R(199)<=>C2H3L(19)+C7H13R(330) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4840; RMG #4840 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C8H16L(15)<=>C7H13R(330)+C8H15L(21) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4841; RMG #4841 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(24)+C7H13R(330) 1.225850e+27 -4.376 7.210 - -! Reaction index: Chemkin #4842; RMG #4842 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(56)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4843; RMG #4843 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(57)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4844; RMG #4844 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C7H12R(199)<=>C3H5R(58)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4845; RMG #4845 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C7H12R(199)<=>C3H5L(59)+C7H13R(330) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4846; RMG #4846 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C7H12R(199)<=>C4H7R(60)+C7H13R(330) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4847; RMG #4847 -! Library reaction: restart -! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C8H16L(15)<=>C7H13R(330)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4848; RMG #4848 -! Library reaction: restart -! Flux pairs: C7H14R(9), C7H13R(330); C7H12R(199), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H12R(199)+C7H14R(9)<=>C7H13R(62)+C7H13R(330) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4849; RMG #4849 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C7H12R(199)<=>C6H11L(63)+C7H13R(330) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4850; RMG #4850 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(199)<=>C6H8(118)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4851; RMG #4851 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C7H12R(199)<=>C6H8(125)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4852; RMG #4852 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C7H12R(199)<=>C6H8(125)+C7H13R(330) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4853; RMG #4853 -! Library reaction: restart -! Flux pairs: C10H15(183), C10H14(184); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C10H15(183)<=>C7H13R(330)+C10H14(184) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #4854; RMG #4854 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C7H12R(199)<=>C5H6(187)+C7H13R(330) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #4855; RMG #4855 -! Library reaction: restart -! Flux pairs: C8H13(191), C8H12(194); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C8H13(191)<=>C7H13R(330)+C8H12(194) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4856; RMG #4856 -! Library reaction: restart -! Flux pairs: C10H13(202), C10H12(201); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H13(202)<=>C7H13R(330)+C10H12(201) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4857; RMG #4857 -! Library reaction: restart -! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C10H14R(316)<=>C7H13R(330)+C10H13R(240) 1.225850e+27 -4.376 7.220 - -! Reaction index: Chemkin #4858; RMG #4858 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C7H12R(199)<=>C6H6(252)+C7H13R(330) 1.225850e+27 -4.376 11.099 - -! Reaction index: Chemkin #4859; RMG #4859 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C7H12R(199)<=>C5H7L(262)+C7H13R(330) 5.258140e+13 -0.550 0.687 - -! Reaction index: Chemkin #4860; RMG #4860 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C7H12R(199)<=>C5H7L(262)+C7H13R(330) 1.225850e+27 -4.376 9.983 - -! Reaction index: Chemkin #4861; RMG #4861 -! Library reaction: restart -! Flux pairs: C11H15(256), C11H14(271); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(256)<=>C7H13R(330)+C11H14(271) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #4862; RMG #4862 -! Library reaction: restart -! Flux pairs: C9H13(260), C9H12(272); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H13(260)<=>C7H13R(330)+C9H12(272) 1.225850e+27 -4.376 7.402 - -! Reaction index: Chemkin #4863; RMG #4863 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C7H12R(199)<=>C6H9R(285)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4864; RMG #4864 -! Library reaction: restart -! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C7H12R(199)<=>C6H8(290)+C7H13R(330) 1.225850e+27 -4.376 10.941 - -! Reaction index: Chemkin #4865; RMG #4865 -! Library reaction: restart -! Flux pairs: C12H15(283), C12H14(244); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H15(283)<=>C7H13R(330)+C12H14(244) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #4866; RMG #4866 -! Library reaction: restart -! Flux pairs: C11H15(226), C11H14(278); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(226)<=>C7H13R(330)+C11H14(278) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #4867; RMG #4867 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H12(329); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C11H13(298)<=>C7H13R(330)+C11H12(329) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #4868; RMG #4868 -! Library reaction: restart -! Flux pairs: C5H7(174), C11H14(331); C6H7(239), C11H14(331); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C5H7(174)+C6H7(239)<=>C11H14(331) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4869; RMG #4869 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(269), C12H15(323); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C12H16(269)<=>CR(22)+C12H15(323) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4870; RMG #4870 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C12H15(323)<=>CH3(74)+C12H16(269) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #4871; RMG #4871 -! Library reaction: restart -! Flux pairs: C11H13(298), C11H14(276); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C11H13(298)<=>C10H13R(240)+C11H14(276) 1.225850e+27 -4.376 7.503 - -! Reaction index: Chemkin #4872; RMG #4872 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C9H14L(332); C6H9(160), C9H14L(332); -! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C6H9(160)<=>C9H14L(332) 9.720000e+03 2.410 10.980 - -! Reaction index: Chemkin #4873; RMG #4873 -! Library reaction: restart -! Flux pairs: C10H12R(324), C10H12R(333); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C10H12R(324)<=>C10H12R(333) 1.260000e+11 0.160 11.046 - -! Reaction index: Chemkin #4874; RMG #4874 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(334); C6H8R(287), C12H15R(334); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H7(239)+C6H8R(287)<=>C12H15R(334) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4875; RMG #4875 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H16(335); C6H9(113), C12H16(335); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(335) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #4876; RMG #4876 -! Library reaction: restart -! Flux pairs: C6H7(239), C12H15R(336); C6H8R(287), C12H15R(336); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C6H7(239)+C6H8R(287)<=>C12H15R(336) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4877; RMG #4877 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(337); C6H8(125), C12H15(337); -! Estimated using template [Cds-CsH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(125)<=>C12H15(337) 1.360000e+04 2.410 9.870 - -! Reaction index: Chemkin #4878; RMG #4878 -! Library reaction: restart -! Flux pairs: C3H5(102), C9H13R(338); C6H8R(287), C9H13R(338); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H8R(287)<=>C9H13R(338) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #4879; RMG #4879 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(276), C11H13(298); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C11H14(276)<=>CCCR(27)+C11H13(298) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #4880; RMG #4924 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), RC10(2); C[CH]CC(C)CR(5), RC10(2); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>RC10(2) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4881; RMG #5938 -! Library reaction: restart_edge -! Flux pairs: C[CH]CR(10), CC(C)CC(C)CR(23); [CH2]C(C)C(399), CC(C)CC(C)CR(23); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]CR(10)+[CH2]C(C)C(399)<=>CC(C)CC(C)CR(23) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4882; RMG #6092 -! Library reaction: restart_edge -! Flux pairs: C[CH]L(8), CC(C)CC(C)L(25); [CH2]C(C)C(399), CC(C)CC(C)L(25); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+[CH2]C(C)C(399)<=>CC(C)CC(C)L(25) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #4883; RMG #16811 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: CH3(74), [CH2]C(C)C(399); C3H6(18), [CH2]C(C)C(399); -! Matched reaction 2929 CH3 + propene_2 <=> C4H9-4 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-CsH_Cds-HH;CsJ-HHH] -! family: R_Addition_MultipleBond -CH3(74)+C3H6(18)<=>[CH2]C(C)C(399) 1.580000e+02 2.966 6.337 - -! Reaction index: Chemkin #4884; RMG #20884 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C7H15(85); [CH2]C(C)C(399), C7H15(85); -! Matched reaction 2938 C4H9-9 + propene_2 <=> C7H15-16 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] -! family: R_Addition_MultipleBond -C3H6(18)+[CH2]C(C)C(399)<=>C7H15(85) 1.502000e+00 3.105 5.819 - -! Reaction index: Chemkin #4885; RMG #21888 -! Library reaction: restart_edge -! Flux pairs: C[CH]C(94), CC(C)CC(C)C(87); [CH2]C(C)C(399), CC(C)CC(C)C(87); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R -C[CH]C(94)+[CH2]C(C)C(399)<=>CC(C)CC(C)C(87) 2.124550e+14 -0.429 0.000 - -! Reaction index: Chemkin #4886; RMG #68907 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(65)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4887; RMG #68909 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(69)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4888; RMG #68911 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(66)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4889; RMG #68913 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(68)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4890; RMG #68915 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(72)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4891; RMG #68917 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C9H17LR(73)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4892; RMG #68919 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C9H17LR(71)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4893; RMG #68921 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C9H17LR(67)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4894; RMG #68923 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C9H17LR(70)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4895; RMG #68941 -! Library reaction: restart_edge -! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C10H20R(64)<=>C4H8(157)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4896; RMG #68959 -! Library reaction: restart_edge -! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C10H20L(76)<=>C4H8(157)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4897; RMG #68973 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+[CH2]C(C)C(399)<=>C3H5R(12)+C4H8(157) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4898; RMG #68984 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]C(C)C(399)<=>CC(C)L(13)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4899; RMG #68993 -! Library reaction: restart_edge -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>C4H8(157)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4900; RMG #69001 -! Library reaction: restart_edge -! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10R(171)<=>C4H8(157)+C6H11R(17) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4901; RMG #69014 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H5(102), C3H6(18); -! Matched reaction 40 C3H5 + C4H9-2 <=> C3H6 + C4H8-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R] -! family: Disproportionation -C3H5(102)+[CH2]C(C)C(399)<=>C3H6(18)+C4H8(157) 1.566000e+12 0.000 -0.130 - -! Reaction index: Chemkin #4902; RMG #69033 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), CC(C)CR(20); [CH2]C(C)CR(6), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+[CH2]C(C)C(399)<=>C4H8(157)+CC(C)CR(20) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4903; RMG #69054 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+[CH2]C(C)C(399)<=>CR(22)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4904; RMG #69066 -! Library reaction: restart_edge -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C7H14R(9)<=>C4H8(157)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4905; RMG #69070 -! Library reaction: restart_edge -! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C5H8L(89)<=>C4H8(157)+C5H9L(24) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4906; RMG #69087 -! Library reaction: restart_edge -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H12L(11)<=>C4H8(157)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4907; RMG #69093 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+[CH2]C(C)C(399)<=>CCL(26)+C4H8(157) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4908; RMG #69095 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+[CH2]C(C)C(399)<=>CCCR(27)+C4H8(157) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4909; RMG #69165 -! Library reaction: restart_edge -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>C4H8(157)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4910; RMG #69195 -! Library reaction: restart_edge -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C5H9L2(203)<=>C4H8(157)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4911; RMG #69361 -! Library reaction: restart_edge -! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C8H16L(15)<=>C4H8(157)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4912; RMG #69393 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10R(90)<=>C4H8(157)+C6H11R(56) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4913; RMG #69399 -! Library reaction: restart_edge -! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H10R(171)<=>C4H8(157)+C6H11R(56) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4914; RMG #69408 -! Library reaction: restart_edge -! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C5H8L(77)<=>C4H8(157)+C5H9L(57) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4915; RMG #69412 -! Library reaction: restart_edge -! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C5H8L(89)<=>C4H8(157)+C5H9L(57) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4916; RMG #69421 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+[CH2]C(C)C(399)<=>C3H5R(58)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4917; RMG #69430 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+[CH2]C(C)C(399)<=>C3H5L(59)+C4H8(157) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #4918; RMG #69437 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+[CH2]C(C)C(399)<=>C4H7R(60)+C4H8(157) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #4919; RMG #69439 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+[CH2]C(C)C(399)<=>C4H7R(60)+C4H8(157) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4920; RMG #69446 -! Library reaction: restart_edge -! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C8H14L(112)<=>C4H8(157)+C8H15L(61) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4921; RMG #69467 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C7H12R(108)<=>C4H8(157)+C7H13R(62) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4922; RMG #69482 -! Library reaction: restart_edge -! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10L(103)<=>C4H8(157)+C6H11L(63) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4923; RMG #69493 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); CH3(74), C(75); -! Matched reaction 37 CH3_r1 + C4H9-2 <=> CH4 + C4H8-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C] -! family: Disproportionation -CH3(74)+[CH2]C(C)C(399)<=>C(75)+C4H8(157) 6.020000e+12 -0.320 0.000 - -! Reaction index: Chemkin #4924; RMG #69513 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+[CH2]C(C)C(399)<=>C4H7R(81)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4925; RMG #69521 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); H(82), [H][H](83); -! Matched reaction 36 H + C4H9-2 <=> H2 + C4H8-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C] -! family: Disproportionation -H(82)+[CH2]C(C)C(399)<=>[H][H](83)+C4H8(157) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #4926; RMG #69523 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); H(82), [H][H](83); -! Matched reaction 36 H + C4H9-2 <=> H2 + C4H8-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H] -! family: Disproportionation -H(82)+[CH2]C(C)C(399)<=>[H][H](83)+C4H8(157) 9.040000e+11 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #4927; RMG #69524 -! Library reaction: restart_edge -! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C5H8L(77)<=>C4H8(157)+C5H9L(84) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4928; RMG #69536 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+[CH2]C(C)C(399)<=>C3H5L(86)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4929; RMG #69550 -! Library reaction: restart_edge -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C7H15(85)<=>C4H8(157)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4930; RMG #69580 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]C(94), CCC(95); -! Matched reaction 41 C4H9-2 + C3H7 <=> C3H8 + C4H8-2 in Disproportionation/training -! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R] -! family: Disproportionation -C[CH]C(94)+[CH2]C(C)C(399)<=>CCC(95)+C4H8(157) 2.560000e+13 -0.350 0.000 - -! Reaction index: Chemkin #4931; RMG #69582 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+[CH2]C(C)C(399)<=>CCC(95)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4932; RMG #69584 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10R(90)<=>C4H8(157)+C6H11R(98) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4933; RMG #69640 -! Library reaction: restart_edge -! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10L(169)<=>C4H8(157)+C6H11L(107) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4934; RMG #69644 -! Library reaction: restart_edge -! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H10L(103)<=>C4H8(157)+C6H11L(107) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4935; RMG #69660 -! Library reaction: restart_edge -! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H9(113)<=>C4H8(157)+C6H10(110) 7.830000e+11 0.000 0.181 - -! Reaction index: Chemkin #4936; RMG #69744 -! Library reaction: restart_edge -! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H9(160)<=>C4H8(157)+C6H10(116) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #4937; RMG #69746 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H9(114)<=>C4H8(157)+C6H10(116) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4938; RMG #69770 -! Library reaction: restart_edge -! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H7(123)<=>C4H8(157)+C6H8(118) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #4939; RMG #69772 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(118) 7.830000e+11 0.000 0.165 - -! Reaction index: Chemkin #4940; RMG #69787 -! Library reaction: restart_edge -! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C7H12R(199)<=>C4H8(157)+C7H13R(120) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4941; RMG #69793 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C7H12R(108)<=>C4H8(157)+C7H13R(120) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #4942; RMG #69801 -! Library reaction: restart_edge -! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H7(123)<=>C4H8(157)+C6H8(125) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #4943; RMG #69837 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+[CH2]C(C)C(399)<=>C4H8(157)+C4H8(157) 1.566000e+12 0.000 0.000 - -! Reaction index: Chemkin #4944; RMG #71706 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), [CH2]C(C)C(399); C4H8(157), [CH2]C(C)C(399); -! Matched reaction 2928 H + C4H8-2 <=> C4H9-7 in R_Addition_MultipleBond/training -! This reaction matched rate rule [Cds-CsCs_Cds-HH;HJ] -! family: R_Addition_MultipleBond -H(82)+C4H8(157)<=>[CH2]C(C)C(399) 2.383000e+08 1.538 2.871 - -! Reaction index: Chemkin #4945; RMG #81204 -! Library reaction: restart_edge -! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C5H7(174)<=>C4H8(157)+C5H8(173) 1.566000e+12 0.000 0.165 - -! Reaction index: Chemkin #4946; RMG #87531 -! Library reaction: restart_edge -! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C10H13(202)<=>C4H8(157)+C10H14(179) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4947; RMG #88860 -! Library reaction: restart_edge -! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C5H7(178)<=>C4H8(157)+C5H8(180) 1.051630e+14 -0.550 0.000 - -! Reaction index: Chemkin #4948; RMG #93538 -! Library reaction: restart_edge -! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -[CH2]C(C)C(399)+C5H5(189)<=>C4H8(157)+C5H6(187) 2.629070e+14 -0.550 0.000 - -! Reaction index: Chemkin #4949; RMG #137697 -! Library reaction: restart_edge -! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C11H15(234)<=>C4H8(157)+C11H16(229) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4950; RMG #206259 -! Library reaction: restart_edge -! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C12H15(323)<=>C4H8(157)+C12H16(269) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4951; RMG #233859 -! Library reaction: restart_edge -! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C11H13(298)<=>C4H8(157)+C11H14(276) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4952; RMG #268049 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H8R(287)<=>C4H8(157)+C6H9R(285) 7.830000e+11 0.000 0.165 - -! Reaction index: Chemkin #4953; RMG #278568 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(290) 5.258140e+13 -0.550 0.340 - -! Reaction index: Chemkin #4954; RMG #347854 -! Library reaction: restart_edge -! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H10L(169)<=>C4H8(157)+C6H11L(325) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4955; RMG #369908 -! Library reaction: restart_edge -! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C7H12R(199)<=>C4H8(157)+C7H13R(330) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #4956; RMG #407513 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(65); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(65) 2.434158e-04 4.470 6.593 - -! Reaction index: Chemkin #4957; RMG #407514 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(69); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(69) 2.434158e-04 4.470 6.593 - -! Reaction index: Chemkin #4958; RMG #407515 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(66); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(66) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4959; RMG #407516 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(68); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(68) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4960; RMG #407517 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(72); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(72) 2.434158e-04 4.470 6.593 - -! Reaction index: Chemkin #4961; RMG #407518 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(73); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(73) 1.630301e-04 4.810 8.490 - -! Reaction index: Chemkin #4962; RMG #407519 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(71); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(71) 1.630301e-04 4.810 8.490 - -! Reaction index: Chemkin #4963; RMG #407520 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(67); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(67) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4964; RMG #407521 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(70); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(70) 1.630301e-04 4.810 8.490 - -! Reaction index: Chemkin #4965; RMG #407530 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10(2), C10H20R(64); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+RC10(2)<=>CC(C)C(29484)+C10H20R(64) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4966; RMG #407539 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); LC10(3), C10H20L(76); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+LC10(3)<=>CC(C)C(29484)+C10H20L(76) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4967; RMG #407540 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+[CH2]C(C)C(399)<=>C3H4R(78)+CC(C)C(29484) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4968; RMG #407546 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)L(13), [CH2]C(C)L(4); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)L(13)+[CH2]C(C)C(399)<=>[CH2]C(C)L(4)+CC(C)C(29484) 3.260601e-04 4.810 8.490 - -! Reaction index: Chemkin #4969; RMG #407548 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11R(17)<=>CC(C)C(29484)+C6H10R(171) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4970; RMG #407555 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H6(18), C3H5(102); -! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+[CH2]C(C)C(399)<=>C3H5(102)+CC(C)C(29484) 2.961351e-04 4.545 4.565 - -! Reaction index: Chemkin #4971; RMG #407573 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CR(22), [CH2]R(14); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\H2\Cs;C_rad/H2/Cs] -! Euclidian distance = 2.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CR(22)+[CH2]C(C)C(399)<=>[CH2]R(14)+CC(C)C(29484) 1.630301e-04 4.810 8.490 - -! Reaction index: Chemkin #4972; RMG #407575 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H9L(24)<=>CC(C)C(29484)+C5H8L(89) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4973; RMG #407582 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCL(26), C[CH]L(8); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCL(26)+[CH2]C(C)C(399)<=>C[CH]L(8)+CC(C)C(29484) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4974; RMG #407583 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCR(27), C[CH]CR(10); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCCR(27)+[CH2]C(C)C(399)<=>C[CH]CR(10)+CC(C)C(29484) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #4975; RMG #407586 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(56), C6H10R(90); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11R(56)<=>CC(C)C(29484)+C6H10R(90) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4976; RMG #407589 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(56), C6H10R(171); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11R(56)<=>CC(C)C(29484)+C6H10R(171) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #4977; RMG #407594 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(57), C5H8L(77); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H9L(57)<=>CC(C)C(29484)+C5H8L(77) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4978; RMG #407596 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(57), C5H8L(89); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H9L(57)<=>CC(C)C(29484)+C5H8L(89) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #4979; RMG #407601 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5R(58), C3H4R(78); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5R(58)+[CH2]C(C)C(399)<=>C3H4R(78)+CC(C)C(29484) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #4980; RMG #407606 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5L(59), C3H4L(147); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(59)+[CH2]C(C)C(399)<=>C3H4L(147)+CC(C)C(29484) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #4981; RMG #407610 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(60), C4H6R(224); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7R(60)+[CH2]C(C)C(399)<=>C4H6R(224)+CC(C)C(29484) 2.517000e-05 4.890 4.320 - -! Reaction index: Chemkin #4982; RMG #407611 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+[CH2]C(C)C(399)<=>C4H6R(79)+CC(C)C(29484) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4983; RMG #407615 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C8H15L(61), C8H14L(112); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C8H15L(61)<=>CC(C)C(29484)+C8H14L(112) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4984; RMG #407626 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C7H13R(62)<=>CC(C)C(29484)+C7H12R(108) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4985; RMG #407634 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11L(63)<=>CC(C)C(29484)+C6H10L(103) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4986; RMG #407640 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); CH3(74), C(75); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 9.0 -! family: H_Abstraction -CH3(74)+CC(C)C(29484)<=>C(75)+[CH2]C(C)C(399) 4.257000e+00 3.600 11.050 - -! Reaction index: Chemkin #4987; RMG #407641 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); H(82), [H][H](83); -! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 9.0 -! family: H_Abstraction -H(82)+CC(C)C(29484)<=>[H][H](83)+[CH2]C(C)C(399) 1.701000e+07 2.210 7.500 - -! Reaction index: Chemkin #4988; RMG #407652 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CR(20), [CH2]C(C)CR(6); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -CC(C)CR(20)+[CH2]C(C)C(399)<=>[CH2]C(C)CR(6)+CC(C)C(29484) 3.260601e-04 4.810 8.490 - -! Reaction index: Chemkin #4989; RMG #407658 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)CR(23), C7H14R(9); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CC(C)CC(C)CR(23)<=>CC(C)C(29484)+C7H14R(9) 3.260601e-04 4.810 8.490 - -! Reaction index: Chemkin #4990; RMG #407662 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)L(25), C6H12L(11); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CC(C)CC(C)L(25)<=>CC(C)C(29484)+C6H12L(11) 3.260601e-04 4.810 8.490 - -! Reaction index: Chemkin #4991; RMG #407664 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(81), C4H6R(79); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7R(81)+[CH2]C(C)C(399)<=>C4H6R(79)+CC(C)C(29484) 2.688723e-04 4.649 4.527 - -! Reaction index: Chemkin #4992; RMG #407668 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H9L(84)<=>CC(C)C(29484)+C5H8L(77) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4993; RMG #407674 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCC(95), C[CH]C(94); -! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+[CH2]C(C)C(399)<=>C[CH]C(94)+CC(C)C(29484) 1.840000e-03 4.340 7.000 - -! Reaction index: Chemkin #4994; RMG #407675 -! Template reaction: H_Abstraction -! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 9.0 -! family: H_Abstraction -[CH2]CC(195)+CC(C)C(29484)<=>CCC(95)+[CH2]C(C)C(399) 4.890902e-04 4.810 8.490 - -! Reaction index: Chemkin #4995; RMG #407676 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11R(98)<=>CC(C)C(29484)+C6H10R(90) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #4996; RMG #407691 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(107), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11L(107)<=>CC(C)C(29484)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #4997; RMG #407693 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(107), C6H10L(103); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11L(107)<=>CC(C)C(29484)+C6H10L(103) 2.688723e-04 4.649 4.527 - -! Reaction index: Chemkin #4998; RMG #407698 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H10(110)<=>CC(C)C(29484)+C6H9(113) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #4999; RMG #407707 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H10(116)<=>CC(C)C(29484)+C6H9(160) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5000; RMG #407708 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H10(116)<=>CC(C)C(29484)+C6H9(114) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5001; RMG #407713 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(120), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C7H13R(120)<=>CC(C)C(29484)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #5002; RMG #407716 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(120), C7H12R(108); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C7H13R(120)<=>CC(C)C(29484)+C7H12R(108) 2.688723e-04 4.649 4.527 - -! Reaction index: Chemkin #5003; RMG #407720 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H8(173)<=>CC(C)C(29484)+C5H7(174) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #5004; RMG #407731 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCC(C)L(16), C[CH]CC(C)L(7); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CCCC(C)L(16)<=>CC(C)C(29484)+C[CH]CC(C)L(7) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #5005; RMG #407736 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCC(C)CR(32), C[CH]CC(C)CR(5); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CCCC(C)CR(32)<=>CC(C)C(29484)+C[CH]CC(C)CR(5) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #5006; RMG #407741 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(L)CC(C)L(35), C5H9L2(203); -! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CC(L)CC(C)L(35)<=>CC(C)C(29484)+C5H9L2(203) 4.868317e-04 4.470 6.593 - -! Reaction index: Chemkin #5007; RMG #407747 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C8H17L(49), C8H16L(15); -! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C8H17L(49)<=>CC(C)C(29484)+C8H16L(15) 2.163867e-03 4.290 7.536 - -! Reaction index: Chemkin #5008; RMG #407751 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5L(86), C3H4L(219); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H5L(86)+[CH2]C(C)C(399)<=>C3H4L(219)+CC(C)C(29484) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #5009; RMG #407758 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)C(87), C7H15(85); -! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 12.0 -! family: H_Abstraction -[CH2]C(C)C(399)+CC(C)CC(C)C(87)<=>CC(C)C(29484)+C7H15(85) 6.521202e-04 4.810 8.490 - -! Reaction index: Chemkin #5010; RMG #407759 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(118), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H8(118)<=>CC(C)C(29484)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #5011; RMG #407760 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H8(118)<=>CC(C)C(29484)+C6H7(239) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #5012; RMG #407768 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(125), C6H7(123); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H8(125)<=>CC(C)C(29484)+C6H7(123) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #5013; RMG #407777 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H8(157), C4H7(156); -! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H8(157)+[CH2]C(C)C(399)<=>C4H7(156)+CC(C)C(29484) 5.034000e-05 4.890 4.320 - -! Reaction index: Chemkin #5014; RMG #407782 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H8(180)<=>CC(C)C(29484)+C5H7(178) 3.612000e-03 4.340 3.500 - -! Reaction index: Chemkin #5015; RMG #407801 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(325), C6H10L(169); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H11L(325)<=>CC(C)C(29484)+C6H10L(169) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #5016; RMG #407807 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(330), C7H12R(199); -! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! family: H_Abstraction -[CH2]C(C)C(399)+C7H13R(330)<=>CC(C)C(29484)+C7H12R(199) 5.520000e-04 4.340 2.200 - -! Reaction index: Chemkin #5017; RMG #407814 -! Template reaction: R_Recombination -! Flux pairs: C[CH]C(94), CC(C)C(29484); CH3(74), CC(C)C(29484); -! Matched reaction 67 CH3 + C3H7-2 <=> C4H10-2 in R_Recombination/training -! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O] -! family: R_Recombination -CH3(74)+C[CH]C(94)<=>CC(C)C(29484) 6.640000e+14 -0.570 0.000 - -! Reaction index: Chemkin #5018; RMG #407816 -! Template reaction: R_Recombination -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); H(82), CC(C)C(29484); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- -! Sp-4R!H=3C_Sp-4R!H-3C -H(82)+[CH2]C(C)C(399)<=>CC(C)C(29484) 9.174990e+13 0.115 0.000 - -! Reaction index: Chemkin #5019; RMG #407828 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+[CH2]C(C)C(399)<=>C3H5R(12)+CC(C)C(29484) 1.225854e+27 -4.376 3.708 - -! Reaction index: Chemkin #5020; RMG #407834 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>CC(C)C(29484)+C6H11R(17) 1.225854e+27 -4.376 3.584 - -! Reaction index: Chemkin #5021; RMG #407836 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C_Ext-6C-R -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 2.900000e+12 0.000 0.000 -DUPLICATE - -! Reaction index: Chemkin #5022; RMG #407837 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C -[CH2]CC(195)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 1.970850e+12 -0.039 0.000 -DUPLICATE - -! Reaction index: Chemkin #5023; RMG #407839 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5024; RMG #407841 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+[CH2]C(C)C(399)<=>C2H3L(19)+CC(C)C(29484) 1.225854e+27 -4.376 3.708 - -! Reaction index: Chemkin #5025; RMG #407847 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C8H16L(15)<=>CC(C)C(29484)+C8H15L(21) 1.225854e+27 -4.376 3.584 - -! Reaction index: Chemkin #5026; RMG #407851 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>CC(C)C(29484)+C5H9L(24) 1.225854e+27 -4.376 3.584 - -! Reaction index: Chemkin #5027; RMG #408103 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>CC(C)C(29484)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5028; RMG #408107 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>CC(C)C(29484)+C5H9L(57) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5029; RMG #408113 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+[CH2]C(C)C(399)<=>C3H5R(58)+CC(C)C(29484) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5030; RMG #408115 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+[CH2]C(C)C(399)<=>C3H5L(59)+CC(C)C(29484) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5031; RMG #408119 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+[CH2]C(C)C(399)<=>C4H7R(60)+CC(C)C(29484) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5032; RMG #408123 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C8H16L(15)<=>CC(C)C(29484)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5033; RMG #408127 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C7H14R(9)<=>CC(C)C(29484)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5034; RMG #408131 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H12L(11)<=>CC(C)C(29484)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5035; RMG #408485 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(118) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5036; RMG #408503 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(125) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5037; RMG #408505 -! Template reaction: Disproportionation -! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)C(399)+C6H9(160)<=>CC(C)C(29484)+C6H8(125) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #5038; RMG #408595 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+[CH2]C(C)C(399)<=>C4H8(157)+CC(C)C(29484) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5039; RMG #408684 -! Template reaction: Disproportionation -! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C10H15(183)<=>CC(C)C(29484)+C10H14(184) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5040; RMG #408694 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H6(187), C5H5(189); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C5H6(187)<=>CC(C)C(29484)+C5H5(189) 2.440000e-03 4.340 1.000 - -! Reaction index: Chemkin #5041; RMG #408700 -! Template reaction: Disproportionation -! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -[CH2]C(C)C(399)+C5H7(178)<=>CC(C)C(29484)+C5H6(187) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #5042; RMG #408725 -! Template reaction: Disproportionation -! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C8H13(191)<=>CC(C)C(29484)+C8H12(194) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5043; RMG #408919 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C10H13(202)<=>CC(C)C(29484)+C10H12(201) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5044; RMG #409197 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H8(290)<=>CC(C)C(29484)+C6H7(239) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5045; RMG #409207 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C10H14R(316)<=>CC(C)C(29484)+C10H13R(240) 1.225854e+27 -4.376 3.590 - -! Reaction index: Chemkin #5046; RMG #409229 -! Template reaction: Disproportionation -! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C12H15(283)<=>CC(C)C(29484)+C12H14(244) 1.225854e+27 -4.376 6.154 - -! Reaction index: Chemkin #5047; RMG #409275 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H7(239)<=>CC(C)C(29484)+C6H6(252) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5048; RMG #409279 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C6H7(123)<=>CC(C)C(29484)+C6H6(252) 1.225854e+27 -4.376 6.210 - -! Reaction index: Chemkin #5049; RMG #409345 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C5H8L(89)<=>CC(C)C(29484)+C5H7L(262) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #5050; RMG #409351 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C5H8L(77)<=>CC(C)C(29484)+C5H7L(262) 1.225854e+27 -4.376 5.437 - -! Reaction index: Chemkin #5051; RMG #409662 -! Template reaction: Disproportionation -! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H15(256)<=>CC(C)C(29484)+C11H14(271) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5052; RMG #409675 -! Template reaction: Disproportionation -! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C9H13(260)<=>CC(C)C(29484)+C9H12(272) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5053; RMG #409743 -! Template reaction: Disproportionation -! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H15(226)<=>CC(C)C(29484)+C11H14(278) 1.225854e+27 -4.376 6.154 - -! Reaction index: Chemkin #5054; RMG #409784 -! Template reaction: H_Abstraction -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H9R(285)<=>CC(C)C(29484)+C6H8R(287) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #5055; RMG #409799 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H10R(90)<=>CC(C)C(29484)+C6H9R(285) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5056; RMG #409828 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(290) 1.225854e+27 -4.376 6.100 - -! Reaction index: Chemkin #5057; RMG #410198 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C11H13(298)<=>CC(C)C(29484)+C11H12(329) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5058; RMG #80552 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H8(173), C11H17(10750); C6H9(113), C11H17(10750); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H8(173)+C6H9(113)<=>C11H17(10750) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #5059; RMG #144069 -! Library reaction: restart_edge -! Flux pairs: C3H4R(78), C9H11R(18276); C6H7(239), C9H11R(18276); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C3H4R(78)+C6H7(239)<=>C9H11R(18276) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5060; RMG #275477 -! Library reaction: restart_edge -! Flux pairs: C3H5(102), C9H13R(24328); C6H8R(287), C9H13R(24328); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H8R(287)<=>C9H13R(24328) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #5061; RMG #144329 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18381); C6H9(113), C12H16(18381); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(18381) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5062; RMG #144192 -! Library reaction: restart_edge -! Flux pairs: C3H5(102), C9H12(18323); C6H7(239), C9H12(18323); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H7(239)<=>C9H12(18323) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #5063; RMG #322094 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C9H13(311); C9H12(18323), C9H13(311); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H12(18323)<=>C9H13(311) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #5064; RMG #424319 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(65)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616 - -! Reaction index: Chemkin #5065; RMG #424325 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(69)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616 - -! Reaction index: Chemkin #5066; RMG #424331 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(66)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5067; RMG #424337 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(68)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5068; RMG #424343 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(72)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616 - -! Reaction index: Chemkin #5069; RMG #424349 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(73)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5070; RMG #424355 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(71)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5071; RMG #424361 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(67)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5072; RMG #424367 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C9H17LR(70)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5073; RMG #424421 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C10H20R(64)<=>C9H12(18323)+RC10(2) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5074; RMG #424475 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C10H20L(76)<=>C9H12(18323)+LC10(3) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5075; RMG #424481 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H13(311)<=>C3H5R(12)+C9H12(18323) 1.225854e+27 -4.376 6.922 - -! Reaction index: Chemkin #5076; RMG #424521 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C9H13(311)<=>CC(C)L(13)+C9H12(18323) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5077; RMG #424533 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H13(311)<=>C6H11R(17)+C9H12(18323) 1.225854e+27 -4.376 7.050 - -! Reaction index: Chemkin #5078; RMG #424579 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C9H13(311)<=>C3H6(18)+C9H12(18323) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5079; RMG #424653 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C9H13(311)<=>CC(C)CR(20)+C9H12(18323) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5080; RMG #424723 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C9H13(311)<=>CR(22)+C9H12(18323) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5081; RMG #424759 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C9H13(311)<=>CC(C)CC(C)CR(23)+C9H12(18323) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5082; RMG #424771 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H13(311)<=>C5H9L(24)+C9H12(18323) 1.225854e+27 -4.376 7.050 - -! Reaction index: Chemkin #5083; RMG #424829 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C9H13(311)<=>CC(C)CC(C)L(25)+C9H12(18323) 1.225854e+27 -4.376 3.834 - -! Reaction index: Chemkin #5084; RMG #424847 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H13(311)<=>CCL(26)+C9H12(18323) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5085; RMG #424853 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H13(311)<=>CCCR(27)+C9H12(18323) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5086; RMG #424871 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H13(311)<=>C6H11R(56)+C9H12(18323) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #5087; RMG #424889 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H13(311)<=>C6H11R(56)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5088; RMG #424923 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H13(311)<=>C5H9L(57)+C9H12(18323) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #5089; RMG #424935 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H13(311)<=>C5H9L(57)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5090; RMG #424969 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H13(311)<=>C3H5R(58)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5091; RMG #425003 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C9H13(311)<=>C3H5L(59)+C9H12(18323) 2.451708e+27 -4.376 6.263 - -! Reaction index: Chemkin #5092; RMG #425031 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C9H13(311)<=>C4H7R(60)+C9H12(18323) 2.451708e+27 -4.376 6.263 - -! Reaction index: Chemkin #5093; RMG #425037 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H13(311)<=>C4H7R(60)+C9H12(18323) 1.225854e+27 -4.376 6.922 - -! Reaction index: Chemkin #5094; RMG #425065 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C9H13(311)<=>C8H15L(61)+C9H12(18323) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #5095; RMG #425135 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H13(311)<=>C7H13R(62)+C9H12(18323) 1.225854e+27 -4.376 7.050 - -! Reaction index: Chemkin #5096; RMG #425187 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H13(311)<=>C6H11L(63)+C9H12(18323) 1.225854e+27 -4.376 7.050 - -! Reaction index: Chemkin #5097; RMG #425227 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C9H13(311)<=>C(75)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5098; RMG #425233 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H13(311)<=>C4H7R(81)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5099; RMG #425261 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C9H13(311)<=>[H][H](83)+C9H12(18323) 2.169000e+13 0.000 2.559 - -! Reaction index: Chemkin #5100; RMG #425267 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H13(311)<=>C5H9L(84)+C9H12(18323) 1.225854e+27 -4.376 7.038 - -! Reaction index: Chemkin #5101; RMG #425307 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C9H13(311)<=>C3H5L(86)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5102; RMG #425397 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C9H13(311)<=>CCC(95)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5103; RMG #425403 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C9H13(311)<=>CCC(95)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5104; RMG #425409 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H13(311)<=>C6H11R(98)+C9H12(18323) 1.225854e+27 -4.376 7.038 - -! Reaction index: Chemkin #5105; RMG #425511 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H13(311)<=>C6H11L(107)+C9H12(18323) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #5106; RMG #425523 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H13(311)<=>C6H11L(107)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5107; RMG #425557 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C9H13(311)<=>C6H10(110)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5108; RMG #425619 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C9H13(311)<=>C6H10(116)+C9H12(18323) 2.451708e+27 -4.376 7.628 - -! Reaction index: Chemkin #5109; RMG #425625 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H13(311)<=>C6H10(116)+C9H12(18323) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #5110; RMG #425659 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H13(311)<=>C6H8(118)+C9H12(18323) 2.451708e+27 -4.376 7.020 - -! Reaction index: Chemkin #5111; RMG #425665 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(311)<=>C6H8(118)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5112; RMG #425721 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H13(311)<=>C7H13R(120)+C9H12(18323) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #5113; RMG #425739 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H13(311)<=>C7H13R(120)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #5114; RMG #425767 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H13(311)<=>C6H8(125)+C9H12(18323) 2.451708e+27 -4.376 7.102 - -! Reaction index: Chemkin #5115; RMG #425829 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C9H13(311)<=>C4H8(157)+C9H12(18323) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5116; RMG #425857 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C9H13(311)<=>C5H8(173)+C9H12(18323) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5117; RMG #425925 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C9H13(311)<=>C5H8(180)+C9H12(18323) 2.451708e+27 -4.376 7.628 - -! Reaction index: Chemkin #5118; RMG #426021 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H13(311)<=>C6H9R(285)+C9H12(18323) 1.225854e+27 -4.376 8.206 - -! Reaction index: Chemkin #5119; RMG #426273 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H13(311)<=>CCCC(C)L(16)+C9H12(18323) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5120; RMG #426643 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H13(311)<=>CCCC(C)CR(32)+C9H12(18323) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5121; RMG #426757 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C9H13(311)<=>CC(L)CC(C)L(35)+C9H12(18323) 1.225854e+27 -4.376 4.616 - -! Reaction index: Chemkin #5122; RMG #427255 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H13(311)<=>C8H17L(49)+C9H12(18323) 1.225854e+27 -4.376 4.274 - -! Reaction index: Chemkin #5123; RMG #427479 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C9H13(311)<=>CC(C)CC(C)C(87)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5124; RMG #428427 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C10H13(202)<=>C9H12(18323)+C10H14(179) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5125; RMG #428563 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C9H13(311)<=>C5H6(187)+C9H12(18323) 6.129270e+27 -4.376 7.003 - -! Reaction index: Chemkin #5126; RMG #429435 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C11H15(234)<=>C9H12(18323)+C11H16(229) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #5127; RMG #430377 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(311)<=>C6H8(290)+C9H12(18323) 1.225854e+27 -4.376 9.038 - -! Reaction index: Chemkin #5128; RMG #430485 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H13(311)<=>C6H11L(325)+C9H12(18323) 1.225854e+27 -4.376 7.402 - -! Reaction index: Chemkin #5129; RMG #430585 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H13(311)<=>C7H13R(330)+C9H12(18323) 1.225854e+27 -4.376 7.402 - -! Reaction index: Chemkin #5130; RMG #430751 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C9H13(311)<=>CC(C)C(29484)+C9H12(18323) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5131; RMG #144326 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18379); C6H9(113), C12H16(18379); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(18379) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5132; RMG #437115 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C12H15(323)<=>C9H12(18323)+C12H16(269) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5133; RMG #437999 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C11H13(298)<=>C9H12(18323)+C11H14(276) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5134; RMG #144324 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18378); C6H9(113), C12H16(18378); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(18378) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5135; RMG #144321 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18376); C6H9(113), C12H16(18376); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(18376) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5136; RMG #144319 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18375); C6H9(113), C12H16(18375); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(113)<=>C12H16(18375) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5137; RMG #143561 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C2H3L(19), C8H10L(18195); C6H7(239), C8H10L(18195); -! Estimated using template [Cds-HH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C2H3L(19)+C6H7(239)<=>C8H10L(18195) 6.550000e+02 2.620 10.900 - -! Reaction index: Chemkin #5138; RMG #451247 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C8H10L(18195), C8H10L(30674); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C8H10L(18195)<=>C8H10L(30674) 1.260000e+11 0.160 6.026 - -! Reaction index: Chemkin #5139; RMG #144327 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18380); C6H9(113), C12H16(18380); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C6H7(239)+C6H9(113)<=>C12H16(18380) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5140; RMG #196582 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C12H17(266); C12H16(18380), C12H17(266); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C12H16(18380)<=>C12H17(266) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #5141; RMG #451304 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5142; RMG #451312 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5143; RMG #451320 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5144; RMG #451328 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5145; RMG #451336 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5146; RMG #451344 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5147; RMG #451352 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5148; RMG #451360 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5149; RMG #451368 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5150; RMG #451440 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C12H17(266)<=>RC10(2)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5151; RMG #451512 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C12H17(266)<=>LC10(3)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5152; RMG #451520 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H17(266)<=>C3H5R(12)+C12H16(18380) 1.225854e+27 -4.376 9.405 - -! Reaction index: Chemkin #5153; RMG #451572 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C12H17(266)<=>CC(C)L(13)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5154; RMG #451596 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H17(266)<=>CCCC(C)L(16)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5155; RMG #451628 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H17(266)<=>C6H11R(17)+C12H16(18380) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5156; RMG #451688 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C12H17(266)<=>C3H6(18)+C12H16(18380) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5157; RMG #451784 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C12H17(266)<=>CC(C)CR(20)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5158; RMG #451876 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C12H17(266)<=>CR(22)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5159; RMG #451924 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C12H17(266)<=>CC(C)CC(C)CR(23)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5160; RMG #451940 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H17(266)<=>C5H9L(24)+C12H16(18380) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5161; RMG #452016 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C12H17(266)<=>CC(C)CC(C)L(25)+C12H16(18380) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5162; RMG #452040 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H17(266)<=>CCL(26)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5163; RMG #452048 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H17(266)<=>CCCR(27)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5164; RMG #452088 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H17(266)<=>CCCC(C)CR(32)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5165; RMG #452120 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H17(266)<=>C6H11R(56)+C12H16(18380) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5166; RMG #452144 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H17(266)<=>C6H11R(56)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5167; RMG #452188 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H17(266)<=>C5H9L(57)+C12H16(18380) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5168; RMG #452204 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H17(266)<=>C5H9L(57)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5169; RMG #452248 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H17(266)<=>C3H5R(58)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5170; RMG #452292 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C12H17(266)<=>C3H5L(59)+C12H16(18380) 2.451708e+27 -4.376 8.605 - -! Reaction index: Chemkin #5171; RMG #452328 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C12H17(266)<=>C4H7R(60)+C12H16(18380) 2.451708e+27 -4.376 8.605 - -! Reaction index: Chemkin #5172; RMG #452336 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H17(266)<=>C4H7R(60)+C12H16(18380) 1.225854e+27 -4.376 9.405 - -! Reaction index: Chemkin #5173; RMG #452372 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C12H17(266)<=>C8H15L(61)+C12H16(18380) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5174; RMG #452464 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H17(266)<=>C7H13R(62)+C12H16(18380) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5175; RMG #452532 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H17(266)<=>C6H11L(63)+C12H16(18380) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5176; RMG #452584 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C12H17(266)<=>C(75)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5177; RMG #452592 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H17(266)<=>C4H7R(81)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5178; RMG #452628 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C12H17(266)<=>[H][H](83)+C12H16(18380) 2.169000e+13 0.000 4.043 - -! Reaction index: Chemkin #5179; RMG #452636 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H17(266)<=>C5H9L(84)+C12H16(18380) 1.225854e+27 -4.376 9.545 - -! Reaction index: Chemkin #5180; RMG #452688 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C12H17(266)<=>C3H5L(86)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5181; RMG #452804 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C12H17(266)<=>CCC(95)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5182; RMG #452812 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C12H17(266)<=>CCC(95)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5183; RMG #452820 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H17(266)<=>C6H11R(98)+C12H16(18380) 1.225854e+27 -4.376 9.545 - -! Reaction index: Chemkin #5184; RMG #452952 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H17(266)<=>C6H11L(107)+C12H16(18380) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5185; RMG #452968 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H17(266)<=>C6H11L(107)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5186; RMG #453012 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C12H17(266)<=>C6H10(110)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5187; RMG #453092 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C12H17(266)<=>C6H10(116)+C12H16(18380) 2.451708e+27 -4.376 10.255 - -! Reaction index: Chemkin #5188; RMG #453100 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H17(266)<=>C6H10(116)+C12H16(18380) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #5189; RMG #453144 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H17(266)<=>C6H8(118)+C12H16(18380) 2.451708e+27 -4.376 9.523 - -! Reaction index: Chemkin #5190; RMG #453152 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H17(266)<=>C6H8(118)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5191; RMG #453224 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H17(266)<=>C7H13R(120)+C12H16(18380) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5192; RMG #453248 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H17(266)<=>C7H13R(120)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5193; RMG #453284 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H17(266)<=>C6H8(125)+C12H16(18380) 2.451708e+27 -4.376 9.622 - -! Reaction index: Chemkin #5194; RMG #453364 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C12H17(266)<=>C4H8(157)+C12H16(18380) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5195; RMG #453444 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C12H17(266)<=>C5H8(173)+C12H16(18380) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5196; RMG #453532 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C12H17(266)<=>C5H8(180)+C12H16(18380) 2.451708e+27 -4.376 10.255 - -! Reaction index: Chemkin #5197; RMG #453558 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C12H17(266)<=>C5H6(187)+C12H16(18380) 6.129270e+27 -4.376 9.503 - -! Reaction index: Chemkin #5198; RMG #453772 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H17(266)<=>C6H9R(285)+C12H16(18380) 1.225854e+27 -4.376 10.947 - -! Reaction index: Chemkin #5199; RMG #453852 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H17(266)<=>C6H8(290)+C12H16(18380) 1.225854e+27 -4.376 11.938 - -! Reaction index: Chemkin #5200; RMG #453924 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H17(266)<=>C6H11L(325)+C12H16(18380) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #5201; RMG #453976 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H17(266)<=>C7H13R(330)+C12H16(18380) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #5202; RMG #454044 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C12H17(266)<=>CC(C)C(29484)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5203; RMG #454177 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C12H17(266)<=>CC(L)CC(C)L(35)+C12H16(18380) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5204; RMG #454449 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H17(266)<=>C8H17L(49)+C12H16(18380) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5205; RMG #454550 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C12H17(266)<=>CC(C)CC(C)C(87)+C12H16(18380) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5206; RMG #144322 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18377); C6H9(113), C12H16(18377); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C6H7(239)+C6H9(113)<=>C12H16(18377) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5207; RMG #144316 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18374); C6H9(113), C12H16(18374); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C6H7(239)+C6H9(113)<=>C12H16(18374) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5208; RMG #143432 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(65), RC10L(1); C6H8(18175), C6H7(239); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(65)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500 - -! Reaction index: Chemkin #5209; RMG #143433 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(69), RC10L(1); C6H8(18175), C6H7(239); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(69)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500 - -! Reaction index: Chemkin #5210; RMG #143434 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5211; RMG #143435 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5212; RMG #143436 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(72), RC10L(1); C6H8(18175), C6H7(239); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(72)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500 - -! Reaction index: Chemkin #5213; RMG #143437 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5214; RMG #143438 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5215; RMG #143439 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5216; RMG #143440 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5217; RMG #143457 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C10H20R(64)<=>C6H7(239)+RC10(2) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5218; RMG #143482 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C10H20L(76)<=>C6H7(239)+LC10(3) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5219; RMG #143493 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(18175) 1.225850e+27 -4.376 10.232 - -! Reaction index: Chemkin #5220; RMG #143500 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C3H4R(78), C3H5R(12); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4R(78)+C6H8(18175)<=>C3H5R(12)+C6H7(239) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5221; RMG #143511 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H8(18175)<=>CC(C)L(13)+C6H7(239) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5222; RMG #143519 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H8(18175)<=>CCCC(C)L(16)+C6H7(239) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5223; RMG #143534 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5224; RMG #143551 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C3H5(102), C3H6(18); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C3H5(102)+C6H8(18175)<=>C3H6(18)+C6H7(239) 1.544000e-02 4.340 6.700 - -! Reaction index: Chemkin #5225; RMG #143574 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H8(18175)<=>CC(C)CR(20)+C6H7(239) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5226; RMG #143607 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]R(14)+C6H8(18175)<=>CR(22)+C6H7(239) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5227; RMG #143618 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5228; RMG #143631 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H8L(89), C5H9L(24); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8L(89)+C6H8(18175)<=>C5H9L(24)+C6H7(239) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5229; RMG #143650 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5230; RMG #143658 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]L(8)+C6H8(18175)<=>CCL(26)+C6H7(239) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5231; RMG #143662 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]CR(10)+C6H8(18175)<=>CCCR(27)+C6H7(239) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5232; RMG #143686 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5233; RMG #143728 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H9L2(203), CC(L)CC(C)L(35); -! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H9L2(203)+C6H8(18175)<=>CC(L)CC(C)L(35)+C6H7(239) 3.832000e-03 4.340 -2.500 - -! Reaction index: Chemkin #5234; RMG #143851 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 1.671040e-03 4.260 5.620 - -! Reaction index: Chemkin #5235; RMG #143886 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(56); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10R(90)<=>C6H7(239)+C6H11R(56) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5236; RMG #143889 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H8(18175), C6H7(239); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5237; RMG #143905 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H8L(77), C5H9L(57); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8L(77)+C6H8(18175)<=>C5H9L(57)+C6H7(239) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5238; RMG #143907 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H8L(89), C5H9L(57); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8L(89)+C6H8(18175)<=>C5H9L(57)+C6H7(239) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5239; RMG #143921 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C3H4R(78), C3H5R(58); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4R(78)+C6H8(18175)<=>C3H5R(58)+C6H7(239) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5240; RMG #143932 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C3H4L(147)+C6H8(18175)<=>C3H5L(59)+C6H7(239) 1.544000e-02 4.340 6.700 - -! Reaction index: Chemkin #5241; RMG #143940 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C4H6R(224)+C6H8(18175)<=>C4H7R(60)+C6H7(239) 1.544000e-02 4.340 6.700 - -! Reaction index: Chemkin #5242; RMG #143941 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C4H6R(79), C4H7R(60); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(79)+C6H8(18175)<=>C4H7R(60)+C6H7(239) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5243; RMG #143956 -! Template reaction: H_Abstraction -! Flux pairs: C8H14L(112), C8H15L(61); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C8H14L(112)<=>C6H7(239)+C8H15L(61) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5244; RMG #143982 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5245; RMG #144002 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5246; RMG #144014 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); CH3(74), C(75); -! From training reaction 1126 used for C/H2/CdCd;C_methyl -! Exact match found for rate rule [C/H2/CdCd;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -CH3(74)+C6H8(18175)<=>C(75)+C6H7(239) 4.240000e-02 4.340 1.700 - -! Reaction index: Chemkin #5247; RMG #144037 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(18175) 1.225850e+27 -4.376 13.349 - -! Reaction index: Chemkin #5248; RMG #144084 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(79)+C6H8(18175)<=>C4H7R(81)+C6H7(239) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5249; RMG #144092 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); H(82), [H][H](83); -! From training reaction 1125 used for C/H2/CdCd;H_rad -! Exact match found for rate rule [C/H2/CdCd;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -H(82)+C6H8(18175)<=>[H][H](83)+C6H7(239) 1.788000e+00 4.340 -0.400 - -! Reaction index: Chemkin #5250; RMG #144098 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H8L(77), C5H9L(84); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8L(77)+C6H8(18175)<=>C5H9L(84)+C6H7(239) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5251; RMG #144113 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C3H4L(219), C3H5L(86); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(219)+C6H8(18175)<=>C3H5L(86)+C6H7(239) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5252; RMG #144126 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5253; RMG #144134 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H10R(90)<=>C6H8(18175)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5254; RMG #144168 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C[CH]C(94), CCC(95); -! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C[CH]C(94)+C6H8(18175)<=>CCC(95)+C6H7(239) 4.640000e-03 4.340 -0.400 - -! Reaction index: Chemkin #5255; RMG #144169 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]CC(195)+C6H8(18175)<=>CCC(95)+C6H7(239) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5256; RMG #144176 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5257; RMG #144251 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(169), C6H11L(107); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10L(169)<=>C6H7(239)+C6H11L(107) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5258; RMG #144253 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5259; RMG #144269 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C6H8(18175), C6H7(239); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H9(113)<=>C6H7(239)+C6H10(110) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5260; RMG #144337 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C6H8(18175)+C6H9(160)<=>C6H7(239)+C6H10(116) 7.848000e-03 4.340 6.300 - -! Reaction index: Chemkin #5261; RMG #144338 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H9(114)<=>C6H7(239)+C6H10(116) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5262; RMG #144355 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H8(118); C6H7(123), C6H7(239); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C6H7(123)+C6H8(18175)<=>C6H7(239)+C6H8(118) 3.128000e-03 4.340 8.900 - -! Reaction index: Chemkin #5263; RMG #144356 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H8(118); C6H7(239), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H7(239)+C6H8(18175)<=>C6H7(239)+C6H8(118) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5264; RMG #144375 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(120); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H12R(199)<=>C6H7(239)+C7H13R(120) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5265; RMG #144378 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H8(18175), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5266; RMG #144394 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H8(125); C6H7(123), C6H7(239); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C6H7(123)+C6H8(18175)<=>C6H7(239)+C6H8(125) 3.128000e-03 4.340 8.900 - -! Reaction index: Chemkin #5267; RMG #144455 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C4H7(156)+C6H8(18175)<=>C4H8(157)+C6H7(239) 1.544000e-02 4.340 6.700 - -! Reaction index: Chemkin #5268; RMG #144499 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H7(174), C5H8(173); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C5H7(174)+C6H8(18175)<=>C5H8(173)+C6H7(239) 1.544000e-02 4.340 6.700 - -! Reaction index: Chemkin #5269; RMG #144526 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H7(178), C5H8(180); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 8.0 -! family: H_Abstraction -C5H7(178)+C6H8(18175)<=>C5H8(180)+C6H7(239) 7.848000e-03 4.340 6.300 - -! Reaction index: Chemkin #5270; RMG #144536 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C5H5(189), C5H6(187); -! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 20.0 -! family: H_Abstraction -C5H5(189)+C6H8(18175)<=>C5H6(187)+C6H7(239) 7.820000e-03 4.340 8.900 - -! Reaction index: Chemkin #5271; RMG #144703 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(18175) 1.547940e+12 0.025 0.140 - -! Reaction index: Chemkin #5272; RMG #147161 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(18175) 5.258140e+13 -0.550 2.163 - -! Reaction index: Chemkin #5273; RMG #147693 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(18175)+C6H8(125) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5274; RMG #147694 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H8(18175); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(18175) 1.225850e+27 -4.376 14.489 - -! Reaction index: Chemkin #5275; RMG #147700 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(114)<=>C6H8(18175)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5276; RMG #148250 -! Library reaction: restart_edge -! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(239)+C6H9(160)<=>C6H8(18175)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5277; RMG #148514 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(18175) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5278; RMG #148549 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C10H13(202)<=>C6H7(239)+C10H14(179) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5279; RMG #149716 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C11H15(234)<=>C6H7(239)+C11H16(229) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5280; RMG #163472 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(18175) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5281; RMG #163473 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(18175) 1.225850e+27 -4.376 10.232 - -! Reaction index: Chemkin #5282; RMG #181713 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(18175) 1.225850e+27 -4.376 14.676 - -! Reaction index: Chemkin #5283; RMG #205646 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(18175); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(18175) 2.451710e+27 -4.376 10.101 - -! Reaction index: Chemkin #5284; RMG #212413 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(323), C12H16(269); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C12H15(323)<=>C6H7(239)+C12H16(269) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5285; RMG #256898 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(298), C11H14(276); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C11H13(298)<=>C6H7(239)+C11H14(276) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5286; RMG #269036 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(285); C6H8(18175), C6H7(239); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #5287; RMG #279317 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H8(290); C6H7(239), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H7(239)+C6H8(18175)<=>C6H7(239)+C6H8(290) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5288; RMG #348922 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(169), C6H11L(325); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H10L(169)<=>C6H7(239)+C6H11L(325) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5289; RMG #370564 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(199), C7H13R(330); C6H8(18175), C6H7(239); -! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C7H12R(199)<=>C6H7(239)+C7H13R(330) 5.000000e-04 4.340 4.600 - -! Reaction index: Chemkin #5290; RMG #409195 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H8(18175)<=>CC(C)C(29484)+C6H7(239) 4.880000e-03 4.340 1.000 - -! Reaction index: Chemkin #5291; RMG #465026 -! Template reaction: R_Recombination -! Flux pairs: C6H7(239), C6H8(18175); H(82), C6H8(18175); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-3R!H-R -H(82)+C6H7(239)<=>C6H8(18175) 1.953380e+12 0.347 0.000 - -! Reaction index: Chemkin #5292; RMG #465191 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(18175)+C6H11R(17) 1.225854e+27 -4.376 9.998 - -! Reaction index: Chemkin #5293; RMG #465203 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(18175) 2.105300e+14 -0.550 0.918 - -! Reaction index: Chemkin #5294; RMG #465255 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H16L(15)<=>C6H8(18175)+C8H15L(21) 1.225854e+27 -4.376 9.998 - -! Reaction index: Chemkin #5295; RMG #465297 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(18175) 1.225854e+27 -4.376 9.998 - -! Reaction index: Chemkin #5296; RMG #465849 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(18175)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5297; RMG #465870 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(18175) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5298; RMG #465896 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(18175) 5.258140e+13 -0.550 0.780 - -! Reaction index: Chemkin #5299; RMG #465911 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(18175) 5.258140e+13 -0.550 0.780 - -! Reaction index: Chemkin #5300; RMG #465941 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C8H16L(15)<=>C6H8(18175)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5301; RMG #465965 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C7H14R(9)<=>C6H8(18175)+C7H13R(62) 5.258140e+13 -0.550 0.699 - -! Reaction index: Chemkin #5302; RMG #465986 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C6H12L(11)<=>C6H8(18175)+C6H11L(63) 5.258140e+13 -0.550 0.699 - -! Reaction index: Chemkin #5303; RMG #466671 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(18175) 5.258140e+13 -0.550 0.684 - -! Reaction index: Chemkin #5304; RMG #466871 -! Template reaction: Disproportionation -! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H15(183)<=>C6H8(18175)+C10H14(184) 1.225854e+27 -4.376 13.118 - -! Reaction index: Chemkin #5305; RMG #466950 -! Template reaction: Disproportionation -! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C8H13(191)<=>C6H8(18175)+C8H12(194) 1.225854e+27 -4.376 10.232 - -! Reaction index: Chemkin #5306; RMG #467001 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H13(202)<=>C6H8(18175)+C10H12(201) 1.350000e+03 2.700 0.551 - -! Reaction index: Chemkin #5307; RMG #467326 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C10H14R(316)<=>C6H8(18175)+C10H13R(240) 1.225854e+27 -4.376 10.009 - -! Reaction index: Chemkin #5308; RMG #467383 -! Template reaction: Disproportionation -! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(283)<=>C6H8(18175)+C12H14(244) 1.225854e+27 -4.376 14.581 - -! Reaction index: Chemkin #5309; RMG #468012 -! Template reaction: Disproportionation -! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(256)<=>C6H8(18175)+C11H14(271) 1.225854e+27 -4.376 13.118 - -! Reaction index: Chemkin #5310; RMG #468054 -! Template reaction: Disproportionation -! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(260)<=>C6H8(18175)+C9H12(272) 1.225854e+27 -4.376 10.232 - -! Reaction index: Chemkin #5311; RMG #468306 -! Template reaction: Disproportionation -! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(226)<=>C6H8(18175)+C11H14(278) 1.225854e+27 -4.376 14.581 - -! Reaction index: Chemkin #5312; RMG #469358 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H13(298)<=>C6H8(18175)+C11H12(329) 1.350000e+03 2.700 0.551 - -! Reaction index: Chemkin #5313; RMG #469820 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H13(311)<=>C6H8(18175)+C9H12(18323) 1.225854e+27 -4.376 10.232 - -! Reaction index: Chemkin #5314; RMG #470036 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H17(266)<=>C6H8(18175)+C12H16(18380) 1.225854e+27 -4.376 13.349 - -! Reaction index: Chemkin #5315; RMG #144065 -! Library reaction: restart_edge -! Flux pairs: C3H4R(78), C9H11R(18275); C6H7(239), C9H11R(18275); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C3H4R(78)+C6H7(239)<=>C9H11R(18275) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5316; RMG #275400 -! Library reaction: restart_edge -! Flux pairs: C3H4R(78), C9H12R2(24302); C6H8R(287), C9H12R2(24302); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C3H4R(78)+C6H8R(287)<=>C9H12R2(24302) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #5317; RMG #480624 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C12H17(266)<=>C10H14(179)+C12H16(18380) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #5318; RMG #484445 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C12H17(266)<=>C11H16(229)+C12H16(18380) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #5319; RMG #41367 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H9(113), C12H20L(4090); C6H11L(63), C12H20L(4090); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H9(113)+C6H11L(63)<=>C12H20L(4090) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #5320; RMG #144080 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18283); C6H7(239), C10H13R(18283); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C4H6R(79)+C6H7(239)<=>C10H13R(18283) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5321; RMG #330148 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C10H14R(316); C10H13R(18283), C10H14R(316); -! From training reaction 2933 used for Cds-CsH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C10H13R(18283)<=>C10H14R(316) 3.066000e+11 0.481 7.426 - -! Reaction index: Chemkin #5322; RMG #495039 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(65)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5323; RMG #495045 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(69)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5324; RMG #495051 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(66)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5325; RMG #495057 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(68)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5326; RMG #495063 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(72)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5327; RMG #495069 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(73)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5328; RMG #495075 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(71)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5329; RMG #495081 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(67)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5330; RMG #495087 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(70)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5331; RMG #495141 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C10H20R(64)<=>C10H13R(18283)+RC10(2) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5332; RMG #495195 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C10H20L(76)<=>C10H13R(18283)+LC10(3) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5333; RMG #495201 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H14R(316)<=>C3H5R(12)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5334; RMG #495241 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C10H14R(316)<=>CC(C)L(13)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5335; RMG #495259 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H14R(316)<=>CCCC(C)L(16)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5336; RMG #495283 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H14R(316)<=>C6H11R(17)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5337; RMG #495329 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C10H14R(316)<=>C3H6(18)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5338; RMG #495403 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C10H14R(316)<=>CC(C)CR(20)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5339; RMG #495473 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C10H14R(316)<=>CR(22)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5340; RMG #495509 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C10H14R(316)<=>CC(C)CC(C)CR(23)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5341; RMG #495521 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H14R(316)<=>C5H9L(24)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5342; RMG #495579 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C10H14R(316)<=>CC(C)CC(C)L(25)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5343; RMG #495597 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C10H14R(316)<=>CCL(26)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5344; RMG #495603 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H14R(316)<=>CCCR(27)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5345; RMG #495813 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H14R(316)<=>CCCC(C)CR(32)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5346; RMG #495903 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C10H14R(316)<=>CC(L)CC(C)L(35)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5347; RMG #496401 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H14R(316)<=>C8H17L(49)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5348; RMG #496461 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H14R(316)<=>C6H11R(56)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5349; RMG #496479 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H14R(316)<=>C6H11R(56)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5350; RMG #496513 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H14R(316)<=>C5H9L(57)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5351; RMG #496525 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H14R(316)<=>C5H9L(57)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5352; RMG #496559 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H14R(316)<=>C3H5R(58)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5353; RMG #496593 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C10H14R(316)<=>C3H5L(59)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5354; RMG #496621 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C10H14R(316)<=>C4H7R(60)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5355; RMG #496627 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H14R(316)<=>C4H7R(60)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5356; RMG #496655 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C10H14R(316)<=>C8H15L(61)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5357; RMG #496725 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H14R(316)<=>C7H13R(62)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5358; RMG #496777 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H14R(316)<=>C6H11L(63)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5359; RMG #496817 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C10H14R(316)<=>C(75)+C10H13R(18283) 1.150000e+13 -0.320 0.000 - -! Reaction index: Chemkin #5360; RMG #496907 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H14R(316)<=>C4H7R(81)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5361; RMG #496935 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C10H14R(316)<=>[H][H](83)+C10H13R(18283) 1.191692e+10 0.568 0.000 - -! Reaction index: Chemkin #5362; RMG #496941 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H14R(316)<=>C5H9L(84)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5363; RMG #496981 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C10H14R(316)<=>C3H5L(86)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5364; RMG #497027 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C10H14R(316)<=>CC(C)CC(C)C(87)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5365; RMG #497089 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C10H14R(316)<=>CCC(95)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5366; RMG #497095 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H14R(316)<=>CCC(95)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5367; RMG #497101 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H14R(316)<=>C6H11R(98)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5368; RMG #497285 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H14R(316)<=>C6H11L(107)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5369; RMG #497297 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H14R(316)<=>C6H11L(107)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5370; RMG #497331 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C10H14R(316)<=>C6H10(110)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5371; RMG #497623 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H14R(316)<=>C6H10(116)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5372; RMG #497629 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H14R(316)<=>C6H10(116)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5373; RMG #497709 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H14R(316)<=>C6H8(118)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5374; RMG #497715 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(316)<=>C6H8(118)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5375; RMG #497771 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H14R(316)<=>C7H13R(120)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5376; RMG #497789 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H14R(316)<=>C7H13R(120)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5377; RMG #497817 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H14R(316)<=>C6H8(125)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5378; RMG #497961 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C10H14R(316)<=>C4H8(157)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5379; RMG #498099 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C10H14R(316)<=>C5H8(173)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5380; RMG #498221 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H14(179); C10H13(202), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C10H14R(316)<=>C10H13R(18283)+C10H14(179) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5381; RMG #498317 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H14R(316)<=>C5H8(180)+C10H13R(18283) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #5382; RMG #498383 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C10H14R(316)<=>C5H6(187)+C10H13R(18283) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #5383; RMG #498873 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C11H15(234)<=>C10H13R(18283)+C11H16(229) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5384; RMG #500315 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H14R(316)<=>C6H9R(285)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5385; RMG #500447 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(316)<=>C6H8(290)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5386; RMG #500843 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H14R(316)<=>C6H11L(325)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5387; RMG #500883 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H14R(316)<=>C7H13R(330)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5388; RMG #501155 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C10H14R(316)<=>CC(C)C(29484)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5389; RMG #501573 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(316)<=>C6H8(18175)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5390; RMG #451246 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C8H10L(18195), C8H10L(30673); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C8H10L(18195)<=>C8H10L(30673) 1.260000e+11 0.160 9.310 - -! Reaction index: Chemkin #5391; RMG #184800 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(262), C11H14L(20661); C6H7(239), C11H14L(20661); -! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H7L(262)+C6H7(239)<=>C11H14L(20661) 2.490000e+04 2.410 8.810 - -! Reaction index: Chemkin #5392; RMG #502821 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C12H15(323)<=>C10H13R(18283)+C12H16(269) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5393; RMG #503037 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C11H13(298)<=>C10H13R(18283)+C11H14(276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5394; RMG #41353 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H9(113), C12H20L(4086); C6H11L(63), C12H20L(4086); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H9(113)+C6H11L(63)<=>C12H20L(4086) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #5395; RMG #144079 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18282); C6H7(239), C10H13R(18282); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C4H6R(79)+C6H7(239)<=>C10H13R(18282) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5396; RMG #147698 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18680); C6H9(114), C12H16(18680); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(114)<=>C12H16(18680) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5397; RMG #276001 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H15R(24502); C6H8R(288), C12H15R(24502); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(288)<=>C12H15R(24502) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5398; RMG #41347 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H9(113), C13H22R(4084); C7H13R(62), C13H22R(4084); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H9(113)+C7H13R(62)<=>C13H22R(4084) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #5399; RMG #41331 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H9(113), C13H22R(4080); C7H13R(62), C13H22R(4080); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H9(113)+C7H13R(62)<=>C13H22R(4080) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #5400; RMG #144076 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18280); C6H7(239), C10H13R(18280); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C4H6R(79)+C6H7(239)<=>C10H13R(18280) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5401; RMG #144075 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18279); C6H7(239), C10H13R(18279); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C4H6R(79)+C6H7(239)<=>C10H13R(18279) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5402; RMG #144454 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H8(157), C10H15(18437); C6H7(239), C10H15(18437); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H8(157)+C6H7(239)<=>C10H15(18437) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #5403; RMG #275999 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H15R(24501); C6H8R(288), C12H15R(24501); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H8R(288)<=>C12H15R(24501) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5404; RMG #144534 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H6(187), C11H13(18468); C6H7(239), C11H13(18468); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H6(187)+C6H7(239)<=>C11H13(18468) 2.380000e+04 2.410 10.290 - -! Reaction index: Chemkin #5405; RMG #147691 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18679); C6H9(114), C12H16(18679); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C6H7(239)+C6H9(114)<=>C12H16(18679) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #5406; RMG #144352 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(18389); C6H8(118), C12H15(18389); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH] -! Euclidian distance = 1.4142135623730951 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(118)<=>C12H15(18389) 1.190000e+04 2.410 10.290 - -! Reaction index: Chemkin #5407; RMG #167669 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #5408; RMG #167677 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #5409; RMG #167685 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5410; RMG #167693 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5411; RMG #167701 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #5412; RMG #167709 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5413; RMG #167717 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5414; RMG #167725 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5415; RMG #167733 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5416; RMG #167805 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C12H15(18389)<=>RC10(2)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5417; RMG #167877 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C12H15(18389)<=>LC10(3)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5418; RMG #167885 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H15(18389)<=>C3H5R(12)+C12H14(257) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #5419; RMG #167937 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C12H15(18389)<=>CC(C)L(13)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5420; RMG #167961 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H15(18389)<=>CCCC(C)L(16)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5421; RMG #167993 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H15(18389)<=>C6H11R(17)+C12H14(257) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #5422; RMG #168063 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C12H15(18389)<=>C3H6(18)+C12H14(257) 2.451710e+27 -4.376 9.585 - -! Reaction index: Chemkin #5423; RMG #168159 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C12H15(18389)<=>CC(C)CR(20)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5424; RMG #168251 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C12H15(18389)<=>CR(22)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5425; RMG #168299 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C12H15(18389)<=>CC(C)CC(C)CR(23)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5426; RMG #168315 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H15(18389)<=>C5H9L(24)+C12H14(257) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #5427; RMG #168391 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C12H15(18389)<=>CC(C)CC(C)L(25)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5428; RMG #168415 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H15(18389)<=>CCL(26)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5429; RMG #168423 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H15(18389)<=>CCCR(27)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5430; RMG #168495 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H15(18389)<=>CCCC(C)CR(32)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5431; RMG #168535 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C12H15(18389)<=>CC(L)CC(C)L(35)+C12H14(257) 1.225850e+27 -4.376 7.382 - -! Reaction index: Chemkin #5432; RMG #168751 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H15(18389)<=>C8H17L(49)+C12H14(257) 1.225850e+27 -4.376 6.922 - -! Reaction index: Chemkin #5433; RMG #168831 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(18389)<=>C6H11R(56)+C12H14(257) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #5434; RMG #168855 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C12H15(18389)<=>C6H11R(56)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5435; RMG #168899 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(18389)<=>C5H9L(57)+C12H14(257) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #5436; RMG #168915 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C12H15(18389)<=>C5H9L(57)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5437; RMG #168959 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C12H15(18389)<=>C3H5R(58)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5438; RMG #169003 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C12H15(18389)<=>C3H5L(59)+C12H14(257) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #5439; RMG #169039 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C12H15(18389)<=>C4H7R(60)+C12H14(257) 2.451710e+27 -4.376 9.551 - -! Reaction index: Chemkin #5440; RMG #169047 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H15(18389)<=>C4H7R(60)+C12H14(257) 1.225850e+27 -4.376 10.403 - -! Reaction index: Chemkin #5441; RMG #169083 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C12H15(18389)<=>C8H15L(61)+C12H14(257) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #5442; RMG #169175 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H15(18389)<=>C7H13R(62)+C12H14(257) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #5443; RMG #169243 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H15(18389)<=>C6H11L(63)+C12H14(257) 1.225850e+27 -4.376 10.568 - -! Reaction index: Chemkin #5444; RMG #169295 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C12H15(18389)<=>C(75)+C12H14(257) 1.225850e+27 -4.376 5.492 - -! Reaction index: Chemkin #5445; RMG #169308 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C12H15(18389)<=>C4H7R(81)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5446; RMG #169344 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C12H15(18389)<=>[H][H](83)+C12H14(257) 1.225850e+27 -4.376 5.669 - -! Reaction index: Chemkin #5447; RMG #169354 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(18389)<=>C5H9L(84)+C12H14(257) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #5448; RMG #169406 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C12H15(18389)<=>C3H5L(86)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5449; RMG #169466 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C12H15(18389)<=>CC(C)CC(C)C(87)+C12H14(257) 1.225850e+27 -4.376 6.326 - -! Reaction index: Chemkin #5450; RMG #169546 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C12H15(18389)<=>CCC(95)+C12H14(257) 1.225850e+27 -4.376 6.898 - -! Reaction index: Chemkin #5451; RMG #169554 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C12H15(18389)<=>CCC(95)+C12H14(257) 1.225850e+27 -4.376 6.222 - -! Reaction index: Chemkin #5452; RMG #169562 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(18389)<=>C6H11R(98)+C12H14(257) 1.225850e+27 -4.376 10.553 - -! Reaction index: Chemkin #5453; RMG #169782 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H15(18389)<=>C6H11L(107)+C12H14(257) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #5454; RMG #169798 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C12H15(18389)<=>C6H11L(107)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5455; RMG #169842 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C12H15(18389)<=>C6H10(110)+C12H14(257) 1.225850e+27 -4.376 12.156 - -! Reaction index: Chemkin #5456; RMG #169922 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C12H15(18389)<=>C6H10(116)+C12H14(257) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #5457; RMG #169930 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H15(18389)<=>C6H10(116)+C12H14(257) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #5458; RMG #169974 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H15(18389)<=>C6H8(118)+C12H14(257) 2.451710e+27 -4.376 10.529 - -! Reaction index: Chemkin #5459; RMG #169982 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(18389)<=>C6H8(118)+C12H14(257) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #5460; RMG #170054 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H15(18389)<=>C7H13R(120)+C12H14(257) 1.225850e+27 -4.376 10.966 - -! Reaction index: Chemkin #5461; RMG #170078 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C12H15(18389)<=>C7H13R(120)+C12H14(257) 1.225850e+27 -4.376 9.551 - -! Reaction index: Chemkin #5462; RMG #170114 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C12H15(18389)<=>C6H8(125)+C12H14(257) 2.451710e+27 -4.376 10.634 - -! Reaction index: Chemkin #5463; RMG #170194 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C12H15(18389)<=>C4H8(157)+C12H14(257) 2.451710e+27 -4.376 9.173 - -! Reaction index: Chemkin #5464; RMG #170318 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C12H15(18389)<=>C5H8(173)+C12H14(257) 2.451710e+27 -4.376 12.042 - -! Reaction index: Chemkin #5465; RMG #170406 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C12H15(18389)<=>C5H8(180)+C12H14(257) 2.451710e+27 -4.376 11.307 - -! Reaction index: Chemkin #5466; RMG #170432 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C12H15(18389)<=>C5H6(187)+C12H14(257) 6.129270e+27 -4.376 10.507 - -! Reaction index: Chemkin #5467; RMG #176204 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C12H15(18389)<=>C10H14(179)+C12H14(257) 1.225850e+27 -4.376 11.386 - -! Reaction index: Chemkin #5468; RMG #178959 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C12H15(18389)<=>C11H16(229)+C12H14(257) 1.225850e+27 -4.376 11.307 - -! Reaction index: Chemkin #5469; RMG #269379 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H15(18389)<=>C6H9R(285)+C12H14(257) 1.225850e+27 -4.376 12.042 - -! Reaction index: Chemkin #5470; RMG #280797 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(18389)<=>C6H8(290)+C12H14(257) 1.225850e+27 -4.376 13.090 - -! Reaction index: Chemkin #5471; RMG #349227 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C12H15(18389)<=>C6H11L(325)+C12H14(257) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #5472; RMG #372018 -! Library reaction: restart_edge -! Flux pairs: C12H15(18389), C12H14(257); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C12H15(18389)<=>C7H13R(330)+C12H14(257) 1.225850e+27 -4.376 11.018 - -! Reaction index: Chemkin #5473; RMG #409311 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C12H15(18389)<=>CC(C)C(29484)+C12H14(257) 1.225854e+27 -4.376 6.154 - -! Reaction index: Chemkin #5474; RMG #467618 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C12H15(18389)<=>C6H8(18175)+C12H14(257) 1.225854e+27 -4.376 14.581 - -! Reaction index: Chemkin #5475; RMG #560490 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C12H14(257), C12H15(18389); H(82), C12H15(18389); -! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C12H14(257)<=>C12H15(18389) 2.580000e+08 1.640 -0.720 - -! Reaction index: Chemkin #5476; RMG #82738 -! Library reaction: restart_edge -! Flux pairs: C5H7(174), C11H16(11281); C6H9(113), C11H16(11281); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H9(113)<=>C11H16(11281) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #5477; RMG #89008 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C11H17(181); C11H16(11281), C11H17(181); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H16(11281)<=>C11H17(181) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #5478; RMG #143424 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C11H17(238); C11H16(11281), C11H17(238); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H16(11281)<=>C11H17(238) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #5479; RMG #565947 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5480; RMG #565948 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5481; RMG #565955 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5482; RMG #565956 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5483; RMG #565963 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5484; RMG #565964 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5485; RMG #565971 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5486; RMG #565972 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5487; RMG #565979 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5488; RMG #565980 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5489; RMG #565987 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5490; RMG #565988 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5491; RMG #565995 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5492; RMG #565996 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5493; RMG #566003 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5494; RMG #566004 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5495; RMG #566011 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5496; RMG #566012 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5497; RMG #566083 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H17(238)<=>RC10(2)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5498; RMG #566084 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H17(181)<=>RC10(2)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5499; RMG #566155 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H17(238)<=>LC10(3)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5500; RMG #566156 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H17(181)<=>LC10(3)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5501; RMG #566163 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(238)<=>C3H5R(12)+C11H16(11281) 1.225854e+27 -4.376 9.219 - -! Reaction index: Chemkin #5502; RMG #566164 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(181)<=>C3H5R(12)+C11H16(11281) 1.225854e+27 -4.376 9.405 - -! Reaction index: Chemkin #5503; RMG #566215 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H17(238)<=>CC(C)L(13)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5504; RMG #566216 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H17(181)<=>CC(C)L(13)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5505; RMG #566239 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H17(238)<=>CCCC(C)L(16)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5506; RMG #566240 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H17(181)<=>CCCC(C)L(16)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5507; RMG #566271 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(238)<=>C6H11R(17)+C11H16(11281) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5508; RMG #566272 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(181)<=>C6H11R(17)+C11H16(11281) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5509; RMG #566331 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H17(238)<=>C3H6(18)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5510; RMG #566332 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H17(181)<=>C3H6(18)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5511; RMG #566427 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H17(238)<=>CC(C)CR(20)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5512; RMG #566428 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H17(181)<=>CC(C)CR(20)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5513; RMG #566519 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H17(238)<=>CR(22)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5514; RMG #566520 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H17(181)<=>CR(22)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5515; RMG #566567 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H17(238)<=>CC(C)CC(C)CR(23)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5516; RMG #566568 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H17(181)<=>CC(C)CC(C)CR(23)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5517; RMG #566583 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(238)<=>C5H9L(24)+C11H16(11281) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5518; RMG #566584 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(181)<=>C5H9L(24)+C11H16(11281) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5519; RMG #566659 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H17(238)<=>CC(C)CC(C)L(25)+C11H16(11281) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5520; RMG #566660 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H17(181)<=>CC(C)CC(C)L(25)+C11H16(11281) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #5521; RMG #566683 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H17(238)<=>CCL(26)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5522; RMG #566684 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H17(181)<=>CCL(26)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5523; RMG #566691 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H17(238)<=>CCCR(27)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5524; RMG #566692 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H17(181)<=>CCCR(27)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5525; RMG #566763 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H17(238)<=>CCCC(C)CR(32)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5526; RMG #566764 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H17(181)<=>CCCC(C)CR(32)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5527; RMG #566883 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H17(238)<=>CC(L)CC(C)L(35)+C11H16(11281) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5528; RMG #566884 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H17(181)<=>CC(L)CC(C)L(35)+C11H16(11281) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #5529; RMG #567155 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H17(238)<=>C8H17L(49)+C11H16(11281) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5530; RMG #567156 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H17(181)<=>C8H17L(49)+C11H16(11281) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #5531; RMG #567235 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(238)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5532; RMG #567236 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(181)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5533; RMG #567259 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(238)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5534; RMG #567260 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(181)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5535; RMG #567303 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(238)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5536; RMG #567304 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(181)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5537; RMG #567319 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(238)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5538; RMG #567320 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(181)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5539; RMG #567363 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(238)<=>C3H5R(58)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5540; RMG #567364 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(181)<=>C3H5R(58)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5541; RMG #567407 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H17(238)<=>C3H5L(59)+C11H16(11281) 2.451708e+27 -4.376 8.429 - -! Reaction index: Chemkin #5542; RMG #567408 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H17(181)<=>C3H5L(59)+C11H16(11281) 2.451708e+27 -4.376 8.605 - -! Reaction index: Chemkin #5543; RMG #567443 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H17(238)<=>C4H7R(60)+C11H16(11281) 2.451708e+27 -4.376 8.429 - -! Reaction index: Chemkin #5544; RMG #567444 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H17(181)<=>C4H7R(60)+C11H16(11281) 2.451708e+27 -4.376 8.605 - -! Reaction index: Chemkin #5545; RMG #567451 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(238)<=>C4H7R(60)+C11H16(11281) 1.225854e+27 -4.376 9.219 - -! Reaction index: Chemkin #5546; RMG #567452 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(181)<=>C4H7R(60)+C11H16(11281) 1.225854e+27 -4.376 9.405 - -! Reaction index: Chemkin #5547; RMG #567487 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H17(238)<=>C8H15L(61)+C11H16(11281) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5548; RMG #567488 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H17(181)<=>C8H15L(61)+C11H16(11281) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5549; RMG #567579 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(238)<=>C7H13R(62)+C11H16(11281) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5550; RMG #567580 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(181)<=>C7H13R(62)+C11H16(11281) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5551; RMG #567647 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(238)<=>C6H11L(63)+C11H16(11281) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5552; RMG #567648 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(181)<=>C6H11L(63)+C11H16(11281) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #5553; RMG #567699 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H17(238)<=>C(75)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5554; RMG #567700 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H17(181)<=>C(75)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5555; RMG #567707 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(238)<=>C4H7R(81)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5556; RMG #567708 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(181)<=>C4H7R(81)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5557; RMG #567743 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H17(238)<=>[H][H](83)+C11H16(11281) 2.169000e+13 0.000 3.928 - -! Reaction index: Chemkin #5558; RMG #567744 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H17(181)<=>[H][H](83)+C11H16(11281) 2.169000e+13 0.000 4.043 - -! Reaction index: Chemkin #5559; RMG #567751 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(238)<=>C5H9L(84)+C11H16(11281) 1.225854e+27 -4.376 9.358 - -! Reaction index: Chemkin #5560; RMG #567752 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(181)<=>C5H9L(84)+C11H16(11281) 1.225854e+27 -4.376 9.545 - -! Reaction index: Chemkin #5561; RMG #567803 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H17(238)<=>C3H5L(86)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5562; RMG #567804 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H17(181)<=>C3H5L(86)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5563; RMG #567863 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H17(238)<=>CC(C)CC(C)C(87)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5564; RMG #567864 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H17(181)<=>CC(C)CC(C)C(87)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5565; RMG #567943 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H17(238)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5566; RMG #567944 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H17(181)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5567; RMG #567951 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H17(238)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5568; RMG #567952 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H17(181)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5569; RMG #567959 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(238)<=>C6H11R(98)+C11H16(11281) 1.225854e+27 -4.376 9.358 - -! Reaction index: Chemkin #5570; RMG #567960 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(181)<=>C6H11R(98)+C11H16(11281) 1.225854e+27 -4.376 9.545 - -! Reaction index: Chemkin #5571; RMG #568179 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(238)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5572; RMG #568180 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(181)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5573; RMG #568195 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(238)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5574; RMG #568196 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(181)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5575; RMG #568239 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H17(238)<=>C6H10(110)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5576; RMG #568240 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H17(181)<=>C6H10(110)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5577; RMG #568407 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H17(238)<=>C6H10(116)+C11H16(11281) 2.451708e+27 -4.376 10.059 - -! Reaction index: Chemkin #5578; RMG #568408 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H17(181)<=>C6H10(116)+C11H16(11281) 2.451708e+27 -4.376 10.255 - -! Reaction index: Chemkin #5579; RMG #568415 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H17(238)<=>C6H10(116)+C11H16(11281) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #5580; RMG #568416 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H17(181)<=>C6H10(116)+C11H16(11281) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #5581; RMG #568459 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(238)<=>C6H8(118)+C11H16(11281) 2.451708e+27 -4.376 9.335 - -! Reaction index: Chemkin #5582; RMG #568460 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(181)<=>C6H8(118)+C11H16(11281) 2.451708e+27 -4.376 9.523 - -! Reaction index: Chemkin #5583; RMG #568467 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(238)<=>C6H8(118)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5584; RMG #568468 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(181)<=>C6H8(118)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5585; RMG #568539 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(238)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5586; RMG #568540 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(181)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #5587; RMG #568563 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(238)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5588; RMG #568564 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(181)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #5589; RMG #568599 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(238)<=>C6H8(125)+C11H16(11281) 2.451708e+27 -4.376 9.433 - -! Reaction index: Chemkin #5590; RMG #568600 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(181)<=>C6H8(125)+C11H16(11281) 2.451708e+27 -4.376 9.622 - -! Reaction index: Chemkin #5591; RMG #568679 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H17(238)<=>C4H8(157)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5592; RMG #568680 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H17(181)<=>C4H8(157)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5593; RMG #568803 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H17(238)<=>C5H8(173)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5594; RMG #568804 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H17(181)<=>C5H8(173)+C11H16(11281) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5595; RMG #568891 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H17(238)<=>C5H8(180)+C11H16(11281) 2.451708e+27 -4.376 10.059 - -! Reaction index: Chemkin #5596; RMG #568892 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H17(181)<=>C5H8(180)+C11H16(11281) 2.451708e+27 -4.376 10.255 - -! Reaction index: Chemkin #5597; RMG #568917 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H17(238)<=>C5H6(187)+C11H16(11281) 6.129270e+27 -4.376 9.315 - -! Reaction index: Chemkin #5598; RMG #568918 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H17(181)<=>C5H6(187)+C11H16(11281) 6.129270e+27 -4.376 9.503 - -! Reaction index: Chemkin #5599; RMG #569249 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(238)<=>C6H9R(285)+C11H16(11281) 1.225854e+27 -4.376 10.743 - -! Reaction index: Chemkin #5600; RMG #569250 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(181)<=>C6H9R(285)+C11H16(11281) 1.225854e+27 -4.376 10.947 - -! Reaction index: Chemkin #5601; RMG #569329 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(238)<=>C6H8(290)+C11H16(11281) 1.225854e+27 -4.376 11.722 - -! Reaction index: Chemkin #5602; RMG #569330 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(181)<=>C6H8(290)+C11H16(11281) 1.225854e+27 -4.376 11.938 - -! Reaction index: Chemkin #5603; RMG #569401 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(238)<=>C6H11L(325)+C11H16(11281) 1.225854e+27 -4.376 9.790 - -! Reaction index: Chemkin #5604; RMG #569402 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(181)<=>C6H11L(325)+C11H16(11281) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #5605; RMG #569453 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(238)<=>C7H13R(330)+C11H16(11281) 1.225854e+27 -4.376 9.790 - -! Reaction index: Chemkin #5606; RMG #569454 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(181)<=>C7H13R(330)+C11H16(11281) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #5607; RMG #569521 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H17(238)<=>CC(C)C(29484)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5608; RMG #569522 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H17(181)<=>CC(C)C(29484)+C11H16(11281) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5609; RMG #569782 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(238)<=>C6H8(18175)+C11H16(11281) 1.225854e+27 -4.376 13.118 - -! Reaction index: Chemkin #5610; RMG #569783 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(181)<=>C6H8(18175)+C11H16(11281) 1.225854e+27 -4.376 13.349 - -! Reaction index: Chemkin #5611; RMG #148272 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18726); C6H9(161), C12H16(18726); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(161)<=>C12H16(18726) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #5612; RMG #574365 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C11H17(238)<=>C10H14(179)+C11H16(11281) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #5613; RMG #574366 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C11H17(181)<=>C10H14(179)+C11H16(11281) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #5614; RMG #575425 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C11H17(238)<=>C11H16(229)+C11H16(11281) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #5615; RMG #575426 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C11H17(181)<=>C11H16(229)+C11H16(11281) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #5616; RMG #144083 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H7R(81), C10H14R(18285); C6H7(239), C10H14R(18285); -! Estimated using template [Cds-CsH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C4H7R(81)+C6H7(239)<=>C10H14R(18285) 1.340000e+04 2.410 12.700 - -! Reaction index: Chemkin #5617; RMG #144446 -! Library reaction: restart_edge -! Flux pairs: C3H4L(147), C9H11L(18431); C6H7(239), C9H11L(18431); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C6H7(239)<=>C9H11L(18431) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #5618; RMG #282911 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C9H12L(293); C9H11L(18431), C9H12L(293); -! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H11L(18431)<=>C9H12L(293) 1.691000e+10 1.168 2.996 - -! Reaction index: Chemkin #5619; RMG #577442 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(65)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481 - -! Reaction index: Chemkin #5620; RMG #577448 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(69)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481 - -! Reaction index: Chemkin #5621; RMG #577454 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(66)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5622; RMG #577460 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(68)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5623; RMG #577466 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(72)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481 - -! Reaction index: Chemkin #5624; RMG #577472 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(73)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5625; RMG #577478 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(71)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5626; RMG #577484 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(67)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5627; RMG #577490 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C9H17LR(70)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5628; RMG #577544 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C10H20R(64)<=>C9H11L(18431)+RC10(2) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5629; RMG #577598 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C10H20L(76)<=>C9H11L(18431)+LC10(3) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5630; RMG #577604 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H12L(293)<=>C3H5R(12)+C9H11L(18431) 1.225854e+27 -4.376 6.748 - -! Reaction index: Chemkin #5631; RMG #577642 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C9H12L(293)<=>CC(C)L(13)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5632; RMG #577660 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H12L(293)<=>CCCC(C)L(16)+C9H11L(18431) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5633; RMG #577684 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H12L(293)<=>C6H11R(17)+C9H11L(18431) 1.225854e+27 -4.376 6.874 - -! Reaction index: Chemkin #5634; RMG #577728 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C9H12L(293)<=>C3H6(18)+C9H11L(18431) 2.451708e+27 -4.376 6.124 - -! Reaction index: Chemkin #5635; RMG #577798 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C9H12L(293)<=>CC(C)CR(20)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5636; RMG #577866 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C9H12L(293)<=>CR(22)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5637; RMG #577902 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C9H12L(293)<=>CC(C)CC(C)CR(23)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5638; RMG #577914 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H12L(293)<=>C5H9L(24)+C9H11L(18431) 1.225854e+27 -4.376 6.874 - -! Reaction index: Chemkin #5639; RMG #577970 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C9H12L(293)<=>CC(C)CC(C)L(25)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5640; RMG #577988 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H12L(293)<=>CCL(26)+C9H11L(18431) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5641; RMG #577994 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H12L(293)<=>CCCR(27)+C9H11L(18431) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5642; RMG #578024 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H12L(293)<=>CCCC(C)CR(32)+C9H11L(18431) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5643; RMG #578054 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C9H12L(293)<=>CC(L)CC(C)L(35)+C9H11L(18431) 1.225854e+27 -4.376 4.481 - -! Reaction index: Chemkin #5644; RMG #578180 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H12L(293)<=>C8H17L(49)+C9H11L(18431) 1.225854e+27 -4.376 4.144 - -! Reaction index: Chemkin #5645; RMG #578234 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H12L(293)<=>C6H11R(56)+C9H11L(18431) 1.225854e+27 -4.376 7.179 - -! Reaction index: Chemkin #5646; RMG #578252 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H12L(293)<=>C6H11R(56)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5647; RMG #578284 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H12L(293)<=>C5H9L(57)+C9H11L(18431) 1.225854e+27 -4.376 7.179 - -! Reaction index: Chemkin #5648; RMG #578296 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H12L(293)<=>C5H9L(57)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5649; RMG #578328 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H12L(293)<=>C3H5R(58)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5650; RMG #578360 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C9H12L(293)<=>C3H5L(59)+C9H11L(18431) 2.451708e+27 -4.376 6.099 - -! Reaction index: Chemkin #5651; RMG #578386 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C9H12L(293)<=>C4H7R(60)+C9H11L(18431) 2.451708e+27 -4.376 6.099 - -! Reaction index: Chemkin #5652; RMG #578392 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H12L(293)<=>C4H7R(60)+C9H11L(18431) 1.225854e+27 -4.376 6.748 - -! Reaction index: Chemkin #5653; RMG #578418 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C9H12L(293)<=>C8H15L(61)+C9H11L(18431) 1.225854e+27 -4.376 7.179 - -! Reaction index: Chemkin #5654; RMG #578486 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H12L(293)<=>C7H13R(62)+C9H11L(18431) 1.225854e+27 -4.376 6.874 - -! Reaction index: Chemkin #5655; RMG #578536 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H12L(293)<=>C6H11L(63)+C9H11L(18431) 1.225854e+27 -4.376 6.874 - -! Reaction index: Chemkin #5656; RMG #578574 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C9H12L(293)<=>C(75)+C9H11L(18431) 1.225854e+27 -4.376 3.120 - -! Reaction index: Chemkin #5657; RMG #578580 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H12L(293)<=>C4H7R(81)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5658; RMG #578606 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C9H12L(293)<=>[H][H](83)+C9H11L(18431) 1.225854e+27 -4.376 3.245 - -! Reaction index: Chemkin #5659; RMG #578612 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H12L(293)<=>C5H9L(84)+C9H11L(18431) 1.225854e+27 -4.376 6.862 - -! Reaction index: Chemkin #5660; RMG #578650 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C9H12L(293)<=>C3H5L(86)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5661; RMG #578694 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C9H12L(293)<=>CC(C)CC(C)C(87)+C9H11L(18431) 1.225854e+27 -4.376 3.713 - -! Reaction index: Chemkin #5662; RMG #578752 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C9H12L(293)<=>CCC(95)+C9H11L(18431) 1.225854e+27 -4.376 4.127 - -! Reaction index: Chemkin #5663; RMG #578758 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C9H12L(293)<=>CCC(95)+C9H11L(18431) 1.225854e+27 -4.376 3.639 - -! Reaction index: Chemkin #5664; RMG #578764 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H12L(293)<=>C6H11R(98)+C9H11L(18431) 1.225854e+27 -4.376 6.862 - -! Reaction index: Chemkin #5665; RMG #578924 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H12L(293)<=>C6H11L(107)+C9H11L(18431) 1.225854e+27 -4.376 7.179 - -! Reaction index: Chemkin #5666; RMG #578936 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H12L(293)<=>C6H11L(107)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5667; RMG #578968 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C9H12L(293)<=>C6H10(110)+C9H11L(18431) 1.225854e+27 -4.376 8.101 - -! Reaction index: Chemkin #5668; RMG #579026 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C9H12L(293)<=>C6H10(116)+C9H11L(18431) 2.451708e+27 -4.376 7.443 - -! Reaction index: Chemkin #5669; RMG #579032 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H12L(293)<=>C6H10(116)+C9H11L(18431) 1.225854e+27 -4.376 7.443 - -! Reaction index: Chemkin #5670; RMG #579064 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H12L(293)<=>C6H8(118)+C9H11L(18431) 2.451708e+27 -4.376 6.844 - -! Reaction index: Chemkin #5671; RMG #579070 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12L(293)<=>C6H8(118)+C9H11L(18431) 1.225854e+27 -4.376 8.012 - -! Reaction index: Chemkin #5672; RMG #579122 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H12L(293)<=>C7H13R(120)+C9H11L(18431) 1.225854e+27 -4.376 7.179 - -! Reaction index: Chemkin #5673; RMG #579140 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H12L(293)<=>C7H13R(120)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #5674; RMG #579166 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H12L(293)<=>C6H8(125)+C9H11L(18431) 2.451708e+27 -4.376 6.924 - -! Reaction index: Chemkin #5675; RMG #579224 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C9H12L(293)<=>C4H8(157)+C9H11L(18431) 2.451708e+27 -4.376 5.813 - -! Reaction index: Chemkin #5676; RMG #579282 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C9H12L(293)<=>C5H8(173)+C9H11L(18431) 2.451708e+27 -4.376 8.012 - -! Reaction index: Chemkin #5677; RMG #579346 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C9H12L(293)<=>C5H8(180)+C9H11L(18431) 2.451708e+27 -4.376 7.443 - -! Reaction index: Chemkin #5678; RMG #579488 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H12L(293)<=>C6H9R(285)+C9H11L(18431) 1.225854e+27 -4.376 8.012 - -! Reaction index: Chemkin #5679; RMG #579546 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12L(293)<=>C6H8(290)+C9H11L(18431) 1.225854e+27 -4.376 8.832 - -! Reaction index: Chemkin #5680; RMG #579598 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H12L(293)<=>C6H11L(325)+C9H11L(18431) 1.225854e+27 -4.376 7.220 - -! Reaction index: Chemkin #5681; RMG #579636 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H12L(293)<=>C7H13R(330)+C9H11L(18431) 1.225854e+27 -4.376 7.220 - -! Reaction index: Chemkin #5682; RMG #579686 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C9H12L(293)<=>CC(C)C(29484)+C9H11L(18431) 1.225854e+27 -4.376 3.590 - -! Reaction index: Chemkin #5683; RMG #579692 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12L(293)<=>C6H8(18175)+C9H11L(18431) 1.225854e+27 -4.376 10.009 - -! Reaction index: Chemkin #5684; RMG #580942 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C10H13(202)<=>C9H11L(18431)+C10H14(179) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #5685; RMG #581070 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C9H12L(293)<=>C5H6(187)+C9H11L(18431) 6.129270e+27 -4.376 6.827 - -! Reaction index: Chemkin #5686; RMG #581674 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C11H15(234)<=>C9H11L(18431)+C11H16(229) 1.225854e+27 -4.376 7.443 - -! Reaction index: Chemkin #5687; RMG #234292 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(65)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5688; RMG #234296 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(69)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5689; RMG #234300 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(66)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5690; RMG #234304 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(68)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5691; RMG #234308 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(72)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5692; RMG #234312 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(73)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5693; RMG #234316 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(71)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5694; RMG #234320 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(67)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5695; RMG #234324 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(70)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5696; RMG #234360 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H20R(64)+C12H15(22038)<=>RC10(2)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5697; RMG #234396 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H20L(76)+C12H15(22038)<=>LC10(3)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5698; RMG #234400 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C12H15(22038)<=>C3H5R(12)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5699; RMG #234426 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C12H15(22038)<=>CC(C)L(13)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5700; RMG #234438 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C12H15(22038)<=>CCCC(C)L(16)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5701; RMG #234454 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C12H15(22038)<=>C6H11R(17)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5702; RMG #234484 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C12H15(22038)<=>C3H6(18)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5703; RMG #234532 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C12H15(22038)<=>CC(C)CR(20)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5704; RMG #234578 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C12H15(22038)<=>CR(22)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5705; RMG #234602 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C12H15(22038)<=>CC(C)CC(C)CR(23)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5706; RMG #234610 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C12H15(22038)<=>C5H9L(24)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5707; RMG #234648 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C12H15(22038)<=>CC(C)CC(C)L(25)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5708; RMG #234660 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C12H15(22038)<=>CCL(26)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5709; RMG #234664 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C12H15(22038)<=>CCCR(27)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5710; RMG #234788 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C12H15(22038)<=>CCCC(C)CR(32)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5711; RMG #234878 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C12H15(22038)<=>CC(L)CC(C)L(35)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5712; RMG #235270 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C12H15(22038)<=>C8H17L(49)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5713; RMG #235310 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C12H15(22038)<=>C6H11R(56)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5714; RMG #235322 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C12H15(22038)<=>C6H11R(56)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5715; RMG #235344 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C12H15(22038)<=>C5H9L(57)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5716; RMG #235352 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C12H15(22038)<=>C5H9L(57)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5717; RMG #235374 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C12H15(22038)<=>C3H5R(58)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5718; RMG #235396 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C12H15(22038)<=>C3H5L(59)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5719; RMG #235414 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C12H15(22038)<=>C4H7R(60)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5720; RMG #235418 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C12H15(22038)<=>C4H7R(60)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5721; RMG #235436 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C12H15(22038)<=>C8H15L(61)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5722; RMG #235482 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C12H15(22038)<=>C7H13R(62)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5723; RMG #235516 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C12H15(22038)<=>C6H11L(63)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5724; RMG #235542 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C12H15(22038)<=>C(75)+C12H14(277) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #5725; RMG #235545 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C12H15(22038)<=>C(75)+C12H14(277) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #5726; RMG #235585 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C12H15(22038)<=>C4H7R(81)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5727; RMG #235603 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C12H15(22038)<=>[H][H](83)+C12H14(277) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #5728; RMG #235608 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C12H15(22038)<=>C5H9L(84)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5729; RMG #235634 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C12H15(22038)<=>C3H5L(86)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5730; RMG #235664 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C12H15(22038)<=>CC(C)CC(C)C(87)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5731; RMG #235704 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C12H15(22038)<=>CCC(95)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5732; RMG #235708 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C12H15(22038)<=>CCC(95)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5733; RMG #235712 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C12H15(22038)<=>C6H11R(98)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5734; RMG #235831 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C12H15(22038)<=>C6H11L(107)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5735; RMG #235839 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C12H15(22038)<=>C6H11L(107)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5736; RMG #235861 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C12H15(22038)<=>C6H10(110)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5737; RMG #236048 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C12H15(22038)<=>C6H10(116)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5738; RMG #236052 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(22038)<=>C6H10(116)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5739; RMG #236074 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C12H15(22038)<=>C6H8(118)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5740; RMG #236078 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(22038)<=>C6H8(118)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5741; RMG #236114 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C12H15(22038)<=>C7H13R(120)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5742; RMG #236126 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C12H15(22038)<=>C7H13R(120)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5743; RMG #236144 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C12H15(22038)<=>C6H8(125)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5744; RMG #236228 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C12H15(22038)<=>C4H8(157)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5745; RMG #236290 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C12H15(22038)<=>C5H8(173)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5746; RMG #236352 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C12H15(22038)<=>C5H8(180)+C12H14(277) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #5747; RMG #236365 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C12H15(22038)<=>C5H6(187)+C12H14(277) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #5748; RMG #251139 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C12H15(22038)<=>C10H14(179)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5749; RMG #256767 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C11H15(234)+C12H15(22038)<=>C11H16(229)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5750; RMG #261576 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H16(269); C12H15(323), C12H14(277); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C12H15(323)+C12H15(22038)<=>C12H14(277)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5751; RMG #270241 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C12H15(22038)<=>C6H9R(285)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5752; RMG #279315 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(22038); C6H8(290), C12H15(22038); -! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(290)<=>C12H15(22038) 2.820000e+04 2.410 8.390 - -! Reaction index: Chemkin #5753; RMG #281458 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(22038)<=>C6H8(290)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5754; RMG #349807 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C12H15(22038)<=>C6H11L(325)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5755; RMG #371271 -! Library reaction: restart_edge -! Flux pairs: C12H15(22038), C12H14(277); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C12H15(22038)<=>C7H13R(330)+C12H14(277) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #5756; RMG #409728 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C12H15(22038)<=>CC(C)C(29484)+C12H14(277) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5757; RMG #468261 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(22038)<=>C6H8(18175)+C12H14(277) 1.350000e+03 2.700 0.533 - -! Reaction index: Chemkin #5758; RMG #585051 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C12H14(277), C12H15(22038); H(82), C12H15(22038); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -H(82)+C12H14(277)<=>C12H15(22038) 3.300000e+09 1.480 0.900 - -! Reaction index: Chemkin #5759; RMG #586194 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C12H15(323)<=>C9H11L(18431)+C12H16(269) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #5760; RMG #586398 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C11H13(298)<=>C9H11L(18431)+C11H14(276) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #5761; RMG #144515 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H8(173), C11H15(18464); C6H7(239), C11H15(18464); -! From training reaction 278 used for Cds-HH_Cds-CdH;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C5H8(173)+C6H7(239)<=>C11H15(18464) 4.330000e+03 2.410 8.570 - -! Reaction index: Chemkin #5762; RMG #153206 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #5763; RMG #153214 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #5764; RMG #153222 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5765; RMG #153230 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5766; RMG #153238 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #5767; RMG #153246 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5768; RMG #153254 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5769; RMG #153262 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5770; RMG #153270 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5771; RMG #153342 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H15(18464)<=>RC10(2)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5772; RMG #153414 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H15(18464)<=>LC10(3)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5773; RMG #153422 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(18464)<=>C3H5R(12)+C11H14(246) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #5774; RMG #153474 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H15(18464)<=>CC(C)L(13)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5775; RMG #153508 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H15(18464)<=>CCCC(C)L(16)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5776; RMG #153540 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(18464)<=>C6H11R(17)+C11H14(246) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #5777; RMG #153600 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H15(18464)<=>C3H6(18)+C11H14(246) 2.451710e+27 -4.376 8.460 - -! Reaction index: Chemkin #5778; RMG #153696 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H15(18464)<=>CC(C)CR(20)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5779; RMG #153788 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H15(18464)<=>CR(22)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5780; RMG #153836 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H15(18464)<=>CC(C)CC(C)CR(23)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5781; RMG #153852 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(18464)<=>C5H9L(24)+C11H14(246) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #5782; RMG #153938 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H15(18464)<=>CC(C)CC(C)L(25)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5783; RMG #153962 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H15(18464)<=>CCL(26)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5784; RMG #153970 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H15(18464)<=>CCCR(27)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5785; RMG #154170 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H15(18464)<=>CCCC(C)CR(32)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5786; RMG #154290 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H15(18464)<=>CC(L)CC(C)L(35)+C11H14(246) 1.225850e+27 -4.376 6.429 - -! Reaction index: Chemkin #5787; RMG #154890 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H15(18464)<=>C8H17L(49)+C11H14(246) 1.225850e+27 -4.376 6.007 - -! Reaction index: Chemkin #5788; RMG #154986 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(18464)<=>C6H11R(56)+C11H14(246) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #5789; RMG #155010 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H15(18464)<=>C6H11R(56)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5790; RMG #155054 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(18464)<=>C5H9L(57)+C11H14(246) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #5791; RMG #155070 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H15(18464)<=>C5H9L(57)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5792; RMG #155114 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H15(18464)<=>C3H5R(58)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5793; RMG #155158 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H15(18464)<=>C3H5L(59)+C11H14(246) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #5794; RMG #155199 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H15(18464)<=>C4H7R(60)+C11H14(246) 2.451710e+27 -4.376 8.429 - -! Reaction index: Chemkin #5795; RMG #155207 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(18464)<=>C4H7R(60)+C11H14(246) 1.225850e+27 -4.376 9.219 - -! Reaction index: Chemkin #5796; RMG #155263 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H15(18464)<=>C8H15L(61)+C11H14(246) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #5797; RMG #155371 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(18464)<=>C7H13R(62)+C11H14(246) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #5798; RMG #155453 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(18464)<=>C6H11L(63)+C11H14(246) 1.225850e+27 -4.376 9.371 - -! Reaction index: Chemkin #5799; RMG #155505 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H15(18464)<=>C(75)+C11H14(246) 1.225850e+27 -4.376 4.703 - -! Reaction index: Chemkin #5800; RMG #155518 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H15(18464)<=>C4H7R(81)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5801; RMG #155554 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H15(18464)<=>[H][H](83)+C11H14(246) 1.225850e+27 -4.376 4.864 - -! Reaction index: Chemkin #5802; RMG #155563 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H15(18464)<=>C5H9L(84)+C11H14(246) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #5803; RMG #155615 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H15(18464)<=>C3H5L(86)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5804; RMG #155675 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H15(18464)<=>CC(C)CC(C)C(87)+C11H14(246) 1.225850e+27 -4.376 5.462 - -! Reaction index: Chemkin #5805; RMG #155755 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H15(18464)<=>CCC(95)+C11H14(246) 1.225850e+27 -4.376 5.985 - -! Reaction index: Chemkin #5806; RMG #155763 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H15(18464)<=>CCC(95)+C11H14(246) 1.225850e+27 -4.376 5.367 - -! Reaction index: Chemkin #5807; RMG #155771 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(18464)<=>C6H11R(98)+C11H14(246) 1.225850e+27 -4.376 9.358 - -! Reaction index: Chemkin #5808; RMG #155991 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(18464)<=>C6H11L(107)+C11H14(246) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #5809; RMG #156007 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H15(18464)<=>C6H11L(107)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5810; RMG #156051 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H15(18464)<=>C6H10(110)+C11H14(246) 1.225850e+27 -4.376 10.849 - -! Reaction index: Chemkin #5811; RMG #156339 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H15(18464)<=>C6H10(116)+C11H14(246) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #5812; RMG #156347 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H15(18464)<=>C6H10(116)+C11H14(246) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #5813; RMG #156451 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(18464)<=>C6H8(118)+C11H14(246) 2.451710e+27 -4.376 9.335 - -! Reaction index: Chemkin #5814; RMG #156459 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(18464)<=>C6H8(118)+C11H14(246) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #5815; RMG #156531 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(18464)<=>C7H13R(120)+C11H14(246) 1.225850e+27 -4.376 9.741 - -! Reaction index: Chemkin #5816; RMG #156555 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H15(18464)<=>C7H13R(120)+C11H14(246) 1.225850e+27 -4.376 8.429 - -! Reaction index: Chemkin #5817; RMG #156591 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H15(18464)<=>C6H8(125)+C11H14(246) 2.451710e+27 -4.376 9.433 - -! Reaction index: Chemkin #5818; RMG #156671 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H15(18464)<=>C4H8(157)+C11H14(246) 2.451710e+27 -4.376 8.079 - -! Reaction index: Chemkin #5819; RMG #156795 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H15(18464)<=>C5H8(173)+C11H14(246) 2.451710e+27 -4.376 10.743 - -! Reaction index: Chemkin #5820; RMG #156883 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H15(18464)<=>C5H8(180)+C11H14(246) 2.451710e+27 -4.376 10.059 - -! Reaction index: Chemkin #5821; RMG #156909 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H15(18464)<=>C5H6(187)+C11H14(246) 6.129270e+27 -4.376 9.315 - -! Reaction index: Chemkin #5822; RMG #167443 -! Library reaction: restart_edge -! Flux pairs: C11H15(234), C11H16(229); C11H15(18464), C11H14(246); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(18464)+C11H15(234)<=>C11H14(246)+C11H16(229) 1.225850e+27 -4.376 10.059 - -! Reaction index: Chemkin #5823; RMG #176064 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C11H15(18464)<=>C10H14(179)+C11H14(246) 1.225850e+27 -4.376 10.132 - -! Reaction index: Chemkin #5824; RMG #269189 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(18464)<=>C6H9R(285)+C11H14(246) 1.225850e+27 -4.376 10.743 - -! Reaction index: Chemkin #5825; RMG #280597 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(18464)<=>C6H8(290)+C11H14(246) 1.225850e+27 -4.376 11.722 - -! Reaction index: Chemkin #5826; RMG #349071 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H15(18464)<=>C6H11L(325)+C11H14(246) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #5827; RMG #371868 -! Library reaction: restart_edge -! Flux pairs: C11H15(18464), C11H14(246); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H15(18464)<=>C7H13R(330)+C11H14(246) 1.225850e+27 -4.376 9.790 - -! Reaction index: Chemkin #5828; RMG #409248 -! Template reaction: Disproportionation -! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H15(18464)<=>CC(C)C(29484)+C11H14(246) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5829; RMG #467437 -! Template reaction: Disproportionation -! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H15(18464)<=>C6H8(18175)+C11H14(246) 1.225854e+27 -4.376 13.118 - -! Reaction index: Chemkin #5830; RMG #587160 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C11H14(246), C11H15(18464); H(82), C11H15(18464); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H14(246)<=>C11H15(18464) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #5831; RMG #144445 -! Library reaction: restart_edge -! Flux pairs: C3H4L(147), C9H11L(18430); C6H7(239), C9H11L(18430); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C6H7(239)<=>C9H11L(18430) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #5832; RMG #577425 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C10H14R(18285), C10H14R(33566); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H -C10H14R(18285)<=>C10H14R(33566) 9.450000e+10 0.290 6.349 - -! Reaction index: Chemkin #5833; RMG #144392 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H15(18406); C6H8(125), C12H15(18406); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH] -! Euclidian distance = 1.4142135623730951 -! family: R_Addition_MultipleBond -C6H7(239)+C6H8(125)<=>C12H15(18406) 1.190000e+04 2.410 10.290 - -! Reaction index: Chemkin #5834; RMG #506857 -! Template reaction: R_Recombination -! Flux pairs: C12H15(18406), C12H16(18680); H(82), C12H16(18680); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO -H(82)+C12H15(18406)<=>C12H16(18680) 3.680110e+13 -0.486 0.000 - -! Reaction index: Chemkin #5835; RMG #507058 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H15(18406)<=>C3H5R(12)+C12H16(18680) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5836; RMG #507156 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H15(18406)<=>C6H11R(17)+C12H16(18680) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #5837; RMG #507184 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C12H15(18406)<=>C3H6(18)+C12H16(18680) 2.105300e+14 -0.550 0.172 - -! Reaction index: Chemkin #5838; RMG #507194 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C12H15(18406)<=>C3H6(18)+C12H16(18680) 2.451708e+27 -4.376 7.580 - -! Reaction index: Chemkin #5839; RMG #507216 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H15(18406)<=>C2H3L(19)+C12H16(18680) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5840; RMG #507312 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H15(18406)<=>C8H15L(21)+C12H16(18680) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #5841; RMG #507404 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H15(18406)<=>C5H9L(24)+C12H16(18680) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #5842; RMG #507900 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C12H15(18406)<=>C6H11R(56)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5843; RMG #507950 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C12H15(18406)<=>C5H9L(57)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5844; RMG #507998 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C12H15(18406)<=>C3H5R(58)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5845; RMG #508020 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C12H15(18406)<=>C3H5L(59)+C12H16(18680) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #5846; RMG #508058 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C12H15(18406)<=>C4H7R(60)+C12H16(18680) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #5847; RMG #508126 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C12H15(18406)<=>C8H15L(61)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5848; RMG #508182 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C12H15(18406)<=>C7H13R(62)+C12H16(18680) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #5849; RMG #508232 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C12H15(18406)<=>C6H11L(63)+C12H16(18680) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #5850; RMG #508942 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(18406)<=>C6H8(118)+C12H16(18680) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5851; RMG #509062 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(18406)<=>C6H8(125)+C12H16(18680) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5852; RMG #509072 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C12H15(18406)<=>C6H8(125)+C12H16(18680) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #5853; RMG #509104 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C12H15(18406)<=>C4H8(157)+C12H16(18680) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #5854; RMG #509316 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C12H15(18406)<=>C5H6(187)+C12H16(18680) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #5855; RMG #509492 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(118), C6H7(239); C12H15(18406), C12H16(18680); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #5856; RMG #509508 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C12H15(18406), C12H16(18680); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #5857; RMG #509524 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C12H15(18406), C12H16(18680); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5858; RMG #509568 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(18406)<=>C6H6(252)+C12H16(18680) 1.350000e+03 2.700 0.437 - -! Reaction index: Chemkin #5859; RMG #509588 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C12H15(18406)<=>C6H6(252)+C12H16(18680) 1.225854e+27 -4.376 11.468 - -! Reaction index: Chemkin #5860; RMG #509622 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C12H15(18406)<=>C5H7L(262)+C12H16(18680) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #5861; RMG #509652 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(18406)<=>C5H7L(262)+C12H16(18680) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #5862; RMG #509722 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C12H15(18406)<=>C6H9R(285)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5863; RMG #509774 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C12H15(18406), C12H16(18680); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C12H15(18406)<=>C6H8R(287)+C12H16(18680) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #5864; RMG #509942 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H15(18406)<=>C6H8(290)+C12H16(18680) 1.225854e+27 -4.376 11.307 - -! Reaction index: Chemkin #5865; RMG #510468 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C12H15(18406)<=>C9H12(18323)+C12H16(18680) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5866; RMG #514720 -! Template reaction: H_Abstraction -! Flux pairs: C5H9L(57), C5H8L(77); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C12H15(18406)<=>C5H8L(77)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5867; RMG #514736 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(77), C5H9L(84); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C12H16(18680)<=>C5H9L(84)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5868; RMG #514812 -! Template reaction: H_Abstraction -! Flux pairs: C3H4R(78), C3H5R(12); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C12H16(18680)<=>C3H5R(12)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5869; RMG #514828 -! Template reaction: H_Abstraction -! Flux pairs: C3H4R(78), C3H5R(58); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C12H16(18680)<=>C3H5R(58)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5870; RMG #514904 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(60); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C12H16(18680)<=>C4H7R(60)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5871; RMG #514920 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(79), C4H7R(81); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C12H16(18680)<=>C4H7R(81)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5872; RMG #515134 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(24); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C12H16(18680)<=>C5H9L(24)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5873; RMG #515150 -! Template reaction: H_Abstraction -! Flux pairs: C5H8L(89), C5H9L(57); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C12H16(18680)<=>C5H9L(57)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5874; RMG #515226 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C12H15(18406)<=>C6H10R(90)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5875; RMG #515242 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C12H16(18680)<=>C6H11R(98)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5876; RMG #515450 -! Template reaction: H_Abstraction -! Flux pairs: C3H6(18), C3H5(102); C12H15(18406), C12H16(18680); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C12H15(18406)<=>C3H5(102)+C12H16(18680) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #5877; RMG #515510 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C12H16(18680)<=>C6H11L(63)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5878; RMG #515526 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C12H16(18680)<=>C6H11L(107)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5879; RMG #515802 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C12H16(18680)<=>C7H13R(62)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5880; RMG #515818 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C12H16(18680)<=>C7H13R(120)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5881; RMG #516212 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C12H15(18406), C12H16(18680); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C12H15(18406)<=>C6H9(113)+C12H16(18680) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #5882; RMG #516320 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(114)+C12H16(18680)<=>C6H10(116)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5883; RMG #517327 -! Template reaction: H_Abstraction -! Flux pairs: C3H4L(147), C3H5L(59); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C12H16(18680)<=>C3H5L(59)+C12H15(18406) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #5884; RMG #517405 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9(160)+C12H16(18680)<=>C6H10(116)+C12H15(18406) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #5885; RMG #517605 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C12H15(18406)<=>C6H10L(169)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5886; RMG #517621 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C12H15(18406)<=>C6H10L(169)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5887; RMG #517697 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C12H16(18680)<=>C6H11R(17)+C12H15(18406) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #5888; RMG #517713 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C12H16(18680)<=>C6H11R(56)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5889; RMG #517827 -! Template reaction: H_Abstraction -! Flux pairs: C5H8(173), C5H7(174); C12H15(18406), C12H16(18680); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C12H15(18406)<=>C5H7(174)+C12H16(18680) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #5890; RMG #517891 -! Template reaction: H_Abstraction -! Flux pairs: C5H7(178), C5H8(180); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C12H16(18680)<=>C5H8(180)+C12H15(18406) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #5891; RMG #518561 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C12H15(18406)<=>C10H14(184)+C12H16(18680) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #5892; RMG #519133 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C12H15(18406)<=>C8H12(194)+C12H16(18680) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5893; RMG #519305 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C12H15(18406)<=>C7H12R(199)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5894; RMG #519321 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C12H15(18406), C12H16(18680); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C12H15(18406)<=>C7H12R(199)+C12H16(18680) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #5895; RMG #519813 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C12H15(18406)<=>C10H12(201)+C12H16(18680) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5896; RMG #521129 -! Template reaction: H_Abstraction -! Flux pairs: C4H6R(224), C4H7R(60); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C12H16(18680)<=>C4H7R(60)+C12H15(18406) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #5897; RMG #521741 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C12H15(18406)<=>C10H13R(240)+C12H16(18680) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #5898; RMG #522247 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C11H15(18464), C11H14(246); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(18464)+C12H15(18406)<=>C11H14(246)+C12H16(18680) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #5899; RMG #523257 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H16(18680); C12H15(18406), C12H14(257); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C12H15(18406)+C12H15(18389)<=>C12H14(257)+C12H16(18680) 1.225854e+27 -4.376 11.386 - -! Reaction index: Chemkin #5900; RMG #526197 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C11H15(256), C11H14(271); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(256)+C12H15(18406)<=>C11H14(271)+C12H16(18680) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #5901; RMG #526665 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C12H15(18406)<=>C9H12(272)+C12H16(18680) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #5902; RMG #528133 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H16(18680); C12H15(18406), C12H14(277); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C12H15(18406)+C12H15(22038)<=>C12H14(277)+C12H16(18680) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #5903; RMG #534761 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18680); C12H15(18406), C12H16(18380); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C12H15(18406)+C12H17(266)<=>C12H16(18380)+C12H16(18680) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #5904; RMG #536203 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C12H15(18406)<=>C10H13R(18283)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #5905; RMG #577173 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C11H17(238), C11H16(11281); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H17(238)+C12H15(18406)<=>C11H16(11281)+C12H16(18680) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #5906; RMG #577174 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C11H17(181), C11H16(11281); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H17(181)+C12H15(18406)<=>C11H16(11281)+C12H16(18680) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #5907; RMG #584438 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C12H15(18406)<=>C9H11L(18431)+C12H16(18680) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #5908; RMG #594566 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(18406)<=>C9H17LR(65)+C12H16(18680) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #5909; RMG #594567 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(18406)<=>C9H17LR(69)+C12H16(18680) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #5910; RMG #594568 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5911; RMG #594569 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5912; RMG #594570 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(18406)<=>C9H17LR(72)+C12H16(18680) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #5913; RMG #594571 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5914; RMG #594572 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5915; RMG #594573 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5916; RMG #594574 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5917; RMG #594587 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C12H16(18680)<=>CC(C)L(13)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5918; RMG #594595 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C12H16(18680)<=>CCCC(C)L(16)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5919; RMG #594635 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C12H16(18680)<=>CC(C)CR(20)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5920; RMG #594657 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C12H16(18680)<=>CR(22)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5921; RMG #594669 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C12H16(18680)<=>CC(C)CC(C)CR(23)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5922; RMG #594691 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C12H16(18680)<=>CC(C)CC(C)L(25)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5923; RMG #594696 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C12H16(18680)<=>CCL(26)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5924; RMG #594700 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C12H16(18680)<=>CCCR(27)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5925; RMG #594711 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C12H16(18680)<=>CCCC(C)CR(32)+C12H15(18406) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #5926; RMG #594794 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C12H15(18406)<=>CH3(74)+C12H16(18680) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #5927; RMG #594818 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C12H16(18680)<=>C3H5L(86)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #5928; RMG #594841 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C12H15(18406)<=>C[CH]C(94)+C12H16(18680) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #5929; RMG #594842 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C12H16(18680)<=>CCC(95)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #5930; RMG #594903 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C12H15(18406)<=>C6H7(123)+C12H16(18680) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #5931; RMG #594932 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C12H15(18406)<=>C6H7(123)+C12H16(18680) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #5932; RMG #594945 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C12H16(18680)<=>C4H8(157)+C12H15(18406) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #5933; RMG #594978 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C12H15(18406)<=>C5H5(189)+C12H16(18680) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #5934; RMG #143558 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H13(18194); C6H7(239), C9H13(18194); -! From training reaction 422 used for Cds-CsH_Cds-HH;CsJ-CdCsH -! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H7(239)<=>C9H13(18194) 1.850000e+03 2.410 13.160 - -! Reaction index: Chemkin #5935; RMG #322180 -! Library reaction: restart_edge -! Flux pairs: C9H13(18194), C9H13(312); -! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-3R!H-R_Ext-7R!H-R -C9H13(18194)<=>C9H13(312) 4.000000e+08 0.190 1.026 - -! Reaction index: Chemkin #5936; RMG #595029 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 92.9 to 94.2 kJ/mol to match endothermicity of reaction. -[H][H](83)+C12H15(18406)<=>H(82)+C12H16(18680) 4.580000e-02 4.340 22.508 - -! Reaction index: Chemkin #5937; RMG #545312 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C10H15(18437), C10H15(32871); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C10H15(18437)<=>C10H15(32871) 1.260000e+11 0.160 6.191 - -! Reaction index: Chemkin #5938; RMG #144451 -! Library reaction: restart_edge -! Flux pairs: C4H7(156), C10H14(18435); C6H7(239), C10H14(18435); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C6H7(239)<=>C10H14(18435) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #5939; RMG #148269 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18725); C6H9(161), C12H16(18725); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(161)<=>C12H16(18725) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #5940; RMG #82731 -! Library reaction: restart_edge -! Flux pairs: C5H7(174), C11H16(11277); C6H9(113), C11H16(11277); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H9(113)<=>C11H16(11277) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #5941; RMG #410420 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C11H16(11277), C11H17(10750); H(82), C11H17(10750); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C11H16(11277)<=>C11H17(10750) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #5942; RMG #605704 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(65)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5943; RMG #605712 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(69)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5944; RMG #605720 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(66)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5945; RMG #605728 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(68)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5946; RMG #605736 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(72)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5947; RMG #605744 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(73)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5948; RMG #605752 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(71)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5949; RMG #605760 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(67)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5950; RMG #605768 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H17LR(70)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5951; RMG #605840 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C10H20R(64), RC10(2); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20R(64)+C11H17(10750)<=>RC10(2)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5952; RMG #605912 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C10H20L(76), LC10(3); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H20L(76)+C11H17(10750)<=>LC10(3)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5953; RMG #605920 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(10750)<=>C3H5R(12)+C11H16(11277) 1.225854e+27 -4.376 9.219 - -! Reaction index: Chemkin #5954; RMG #605972 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C11H17(10750)<=>CC(C)L(13)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5955; RMG #605996 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H17(10750)<=>CCCC(C)L(16)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5956; RMG #606028 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(10750)<=>C6H11R(17)+C11H16(11277) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5957; RMG #606088 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C11H17(10750)<=>C3H6(18)+C11H16(11277) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5958; RMG #606184 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C11H17(10750)<=>CC(C)CR(20)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5959; RMG #606276 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C11H17(10750)<=>CR(22)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5960; RMG #606324 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C11H17(10750)<=>CC(C)CC(C)CR(23)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5961; RMG #606340 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(10750)<=>C5H9L(24)+C11H16(11277) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5962; RMG #606416 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C11H17(10750)<=>CC(C)CC(C)L(25)+C11H16(11277) 1.225854e+27 -4.376 5.462 - -! Reaction index: Chemkin #5963; RMG #606440 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H17(10750)<=>CCL(26)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5964; RMG #606448 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H17(10750)<=>CCCR(27)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5965; RMG #606488 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H17(10750)<=>CCCC(C)CR(32)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #5966; RMG #606528 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C11H17(10750)<=>CC(L)CC(C)L(35)+C11H16(11277) 1.225854e+27 -4.376 6.429 - -! Reaction index: Chemkin #5967; RMG #606544 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(10750)<=>C6H11R(56)+C11H16(11277) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5968; RMG #606568 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C11H17(10750)<=>C6H11R(56)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5969; RMG #606612 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(10750)<=>C5H9L(57)+C11H16(11277) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5970; RMG #606628 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C11H17(10750)<=>C5H9L(57)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5971; RMG #606672 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C11H17(10750)<=>C3H5R(58)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5972; RMG #606716 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C11H17(10750)<=>C3H5L(59)+C11H16(11277) 2.451708e+27 -4.376 8.429 - -! Reaction index: Chemkin #5973; RMG #606752 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C11H17(10750)<=>C4H7R(60)+C11H16(11277) 2.451708e+27 -4.376 8.429 - -! Reaction index: Chemkin #5974; RMG #606760 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(10750)<=>C4H7R(60)+C11H16(11277) 1.225854e+27 -4.376 9.219 - -! Reaction index: Chemkin #5975; RMG #606796 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C11H17(10750)<=>C8H15L(61)+C11H16(11277) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5976; RMG #606888 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(10750)<=>C7H13R(62)+C11H16(11277) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5977; RMG #606956 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(10750)<=>C6H11L(63)+C11H16(11277) 1.225854e+27 -4.376 9.371 - -! Reaction index: Chemkin #5978; RMG #607008 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C11H17(10750)<=>C(75)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5979; RMG #607016 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C11H17(10750)<=>C4H7R(81)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5980; RMG #607052 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C11H17(10750)<=>[H][H](83)+C11H16(11277) 2.169000e+13 0.000 3.928 - -! Reaction index: Chemkin #5981; RMG #607060 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H17(10750)<=>C5H9L(84)+C11H16(11277) 1.225854e+27 -4.376 9.358 - -! Reaction index: Chemkin #5982; RMG #607112 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C11H17(10750)<=>C3H5L(86)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5983; RMG #607172 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C11H17(10750)<=>CC(C)CC(C)C(87)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5984; RMG #607252 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C11H17(10750)<=>CCC(95)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5985; RMG #607260 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C11H17(10750)<=>CCC(95)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5986; RMG #607268 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H17(10750)<=>C6H11R(98)+C11H16(11277) 1.225854e+27 -4.376 9.358 - -! Reaction index: Chemkin #5987; RMG #607400 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(10750)<=>C6H11L(107)+C11H16(11277) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5988; RMG #607416 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C11H17(10750)<=>C6H11L(107)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5989; RMG #607460 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C11H17(10750)<=>C6H10(110)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5990; RMG #607540 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C11H17(10750)<=>C6H10(116)+C11H16(11277) 2.451708e+27 -4.376 10.059 - -! Reaction index: Chemkin #5991; RMG #607548 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H17(10750)<=>C6H10(116)+C11H16(11277) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #5992; RMG #607592 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(10750)<=>C6H8(118)+C11H16(11277) 2.451708e+27 -4.376 9.335 - -! Reaction index: Chemkin #5993; RMG #607600 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(10750)<=>C6H8(118)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #5994; RMG #607672 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(10750)<=>C7H13R(120)+C11H16(11277) 1.225854e+27 -4.376 9.741 - -! Reaction index: Chemkin #5995; RMG #607696 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C11H17(10750)<=>C7H13R(120)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #5996; RMG #607732 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C11H17(10750)<=>C6H8(125)+C11H16(11277) 2.451708e+27 -4.376 9.433 - -! Reaction index: Chemkin #5997; RMG #607812 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C11H17(10750)<=>C4H8(157)+C11H16(11277) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5998; RMG #607892 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C11H17(10750)<=>C5H8(173)+C11H16(11277) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #5999; RMG #607980 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C11H17(10750)<=>C5H8(180)+C11H16(11277) 2.451708e+27 -4.376 10.059 - -! Reaction index: Chemkin #6000; RMG #608006 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C11H17(10750)<=>C5H6(187)+C11H16(11277) 6.129270e+27 -4.376 9.315 - -! Reaction index: Chemkin #6001; RMG #608220 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(10750)<=>C6H9R(285)+C11H16(11277) 1.225854e+27 -4.376 10.743 - -! Reaction index: Chemkin #6002; RMG #608300 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(10750)<=>C6H8(290)+C11H16(11277) 1.225854e+27 -4.376 11.722 - -! Reaction index: Chemkin #6003; RMG #608372 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C11H17(10750)<=>C6H11L(325)+C11H16(11277) 1.225854e+27 -4.376 9.790 - -! Reaction index: Chemkin #6004; RMG #608424 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C11H17(10750)<=>C7H13R(330)+C11H16(11277) 1.225854e+27 -4.376 9.790 - -! Reaction index: Chemkin #6005; RMG #608492 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C11H17(10750)<=>CC(C)C(29484)+C11H16(11277) 1.500000e+11 0.000 0.000 - -! Reaction index: Chemkin #6006; RMG #608817 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H17(10750)<=>C8H17L(49)+C11H16(11277) 1.225854e+27 -4.376 6.007 - -! Reaction index: Chemkin #6007; RMG #609443 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C11H17(10750)<=>C6H8(18175)+C11H16(11277) 1.225854e+27 -4.376 13.118 - -! Reaction index: Chemkin #6008; RMG #82735 -! Library reaction: restart_edge -! Flux pairs: C5H7(174), C11H16(11279); C6H9(113), C11H16(11279); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H9(113)<=>C11H16(11279) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #6009; RMG #143920 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(58), C9H12R(18225); C6H7(239), C9H12R(18225); -! Estimated using template [Cds-CsH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5R(58)+C6H7(239)<=>C9H12R(18225) 2.382500e+02 2.700 11.200 - -! Reaction index: Chemkin #6010; RMG #470171 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(65)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377 - -! Reaction index: Chemkin #6011; RMG #470177 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(69)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377 - -! Reaction index: Chemkin #6012; RMG #470183 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(66)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6013; RMG #470189 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(68)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6014; RMG #470195 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(72)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377 - -! Reaction index: Chemkin #6015; RMG #470201 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(73)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6016; RMG #470207 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(71)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6017; RMG #470213 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(67)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6018; RMG #470219 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C9H17LR(70)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6019; RMG #470273 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C10H20R(64)<=>C9H11R(18275)+RC10(2) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6020; RMG #470327 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C10H20L(76)<=>C9H11R(18275)+LC10(3) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6021; RMG #470333 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H12R(18225)<=>C3H5R(12)+C9H11R(18275) 1.225854e+27 -4.376 6.614 - -! Reaction index: Chemkin #6022; RMG #470373 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C9H12R(18225)<=>CC(C)L(13)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6023; RMG #470391 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C9H12R(18225)<=>CCCC(C)L(16)+C9H11R(18275) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6024; RMG #470415 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H12R(18225)<=>C6H11R(17)+C9H11R(18275) 1.225854e+27 -4.376 6.739 - -! Reaction index: Chemkin #6025; RMG #470461 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C9H12R(18225)<=>C3H6(18)+C9H11R(18275) 2.451708e+27 -4.376 5.999 - -! Reaction index: Chemkin #6026; RMG #470535 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C9H12R(18225)<=>CC(C)CR(20)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6027; RMG #470605 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C9H12R(18225)<=>CR(22)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6028; RMG #470641 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H14R(9)+C9H12R(18225)<=>CC(C)CC(C)CR(23)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6029; RMG #470653 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H12R(18225)<=>C5H9L(24)+C9H11R(18275) 1.225854e+27 -4.376 6.739 - -! Reaction index: Chemkin #6030; RMG #470711 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H12L(11)+C9H12R(18225)<=>CC(C)CC(C)L(25)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6031; RMG #470729 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C9H12R(18225)<=>CCL(26)+C9H11R(18275) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6032; RMG #470735 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C9H12R(18225)<=>CCCR(27)+C9H11R(18275) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6033; RMG #470789 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C9H12R(18225)<=>CCCC(C)CR(32)+C9H11R(18275) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6034; RMG #470879 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C9H12R(18225)<=>CC(L)CC(C)L(35)+C9H11R(18275) 1.225854e+27 -4.376 4.377 - -! Reaction index: Chemkin #6035; RMG #471083 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C9H12R(18225)<=>C8H17L(49)+C9H11R(18275) 1.225854e+27 -4.376 4.046 - -! Reaction index: Chemkin #6036; RMG #471143 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H12R(18225)<=>C6H11R(56)+C9H11R(18275) 1.225854e+27 -4.376 7.041 - -! Reaction index: Chemkin #6037; RMG #471161 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C9H12R(18225)<=>C6H11R(56)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6038; RMG #471195 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H12R(18225)<=>C5H9L(57)+C9H11R(18275) 1.225854e+27 -4.376 7.041 - -! Reaction index: Chemkin #6039; RMG #471207 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C9H12R(18225)<=>C5H9L(57)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6040; RMG #471241 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C9H12R(18225)<=>C3H5R(58)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6041; RMG #471275 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C9H12R(18225)<=>C3H5L(59)+C9H11R(18275) 2.451708e+27 -4.376 5.973 - -! Reaction index: Chemkin #6042; RMG #471303 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C9H12R(18225)<=>C4H7R(60)+C9H11R(18275) 2.451708e+27 -4.376 5.973 - -! Reaction index: Chemkin #6043; RMG #471309 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H12R(18225)<=>C4H7R(60)+C9H11R(18275) 1.225854e+27 -4.376 6.614 - -! Reaction index: Chemkin #6044; RMG #471337 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H14L(112)+C9H12R(18225)<=>C8H15L(61)+C9H11R(18275) 1.225854e+27 -4.376 7.041 - -! Reaction index: Chemkin #6045; RMG #471407 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H12R(18225)<=>C7H13R(62)+C9H11R(18275) 1.225854e+27 -4.376 6.739 - -! Reaction index: Chemkin #6046; RMG #471459 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H12R(18225)<=>C6H11L(63)+C9H11R(18275) 1.225854e+27 -4.376 6.739 - -! Reaction index: Chemkin #6047; RMG #471499 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C9H12R(18225)<=>C(75)+C9H11R(18275) 1.225854e+27 -4.376 3.037 - -! Reaction index: Chemkin #6048; RMG #471533 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C9H12R(18225)<=>C4H7R(81)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6049; RMG #471561 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C9H12R(18225)<=>[H][H](83)+C9H11R(18275) 1.225854e+27 -4.376 3.160 - -! Reaction index: Chemkin #6050; RMG #471567 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C9H12R(18225)<=>C5H9L(84)+C9H11R(18275) 1.225854e+27 -4.376 6.727 - -! Reaction index: Chemkin #6051; RMG #471607 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C9H12R(18225)<=>C3H5L(86)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6052; RMG #471653 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H15(85)+C9H12R(18225)<=>CC(C)CC(C)C(87)+C9H11R(18275) 1.225854e+27 -4.376 3.621 - -! Reaction index: Chemkin #6053; RMG #471715 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C9H12R(18225)<=>CCC(95)+C9H11R(18275) 1.225854e+27 -4.376 4.029 - -! Reaction index: Chemkin #6054; RMG #471721 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C9H12R(18225)<=>CCC(95)+C9H11R(18275) 1.225854e+27 -4.376 3.548 - -! Reaction index: Chemkin #6055; RMG #471727 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H12R(18225)<=>C6H11R(98)+C9H11R(18275) 1.225854e+27 -4.376 6.727 - -! Reaction index: Chemkin #6056; RMG #471897 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H12R(18225)<=>C6H11L(107)+C9H11R(18275) 1.225854e+27 -4.376 7.041 - -! Reaction index: Chemkin #6057; RMG #471909 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C9H12R(18225)<=>C6H11L(107)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6058; RMG #471943 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C9H12R(18225)<=>C6H10(110)+C9H11R(18275) 1.225854e+27 -4.376 7.951 - -! Reaction index: Chemkin #6059; RMG #472073 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C9H12R(18225)<=>C6H10(116)+C9H11R(18275) 2.451708e+27 -4.376 7.301 - -! Reaction index: Chemkin #6060; RMG #472079 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C9H12R(18225)<=>C6H10(116)+C9H11R(18275) 1.225854e+27 -4.376 7.301 - -! Reaction index: Chemkin #6061; RMG #472113 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H12R(18225)<=>C6H8(118)+C9H11R(18275) 2.451708e+27 -4.376 6.709 - -! Reaction index: Chemkin #6062; RMG #472119 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12R(18225)<=>C6H8(118)+C9H11R(18275) 1.225854e+27 -4.376 7.863 - -! Reaction index: Chemkin #6063; RMG #472175 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H12R(18225)<=>C7H13R(120)+C9H11R(18275) 1.225854e+27 -4.376 7.041 - -! Reaction index: Chemkin #6064; RMG #472193 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(108)+C9H12R(18225)<=>C7H13R(120)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6065; RMG #472221 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C9H12R(18225)<=>C6H8(125)+C9H11R(18275) 2.451708e+27 -4.376 6.789 - -! Reaction index: Chemkin #6066; RMG #472283 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C9H12R(18225)<=>C4H8(157)+C9H11R(18275) 2.451708e+27 -4.376 5.692 - -! Reaction index: Chemkin #6067; RMG #472379 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C9H12R(18225)<=>C5H8(173)+C9H11R(18275) 2.451708e+27 -4.376 7.863 - -! Reaction index: Chemkin #6068; RMG #472447 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C9H12R(18225)<=>C5H8(180)+C9H11R(18275) 2.451708e+27 -4.376 7.301 - -! Reaction index: Chemkin #6069; RMG #472467 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C9H12R(18225)<=>C5H6(187)+C9H11R(18275) 6.129270e+27 -4.376 6.693 - -! Reaction index: Chemkin #6070; RMG #472793 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H12R(18225)<=>C6H9R(285)+C9H11R(18275) 1.225854e+27 -4.376 7.863 - -! Reaction index: Chemkin #6071; RMG #472925 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12R(18225)<=>C6H8(290)+C9H11R(18275) 1.225854e+27 -4.376 8.674 - -! Reaction index: Chemkin #6072; RMG #472981 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(169)+C9H12R(18225)<=>C6H11L(325)+C9H11R(18275) 1.225854e+27 -4.376 7.080 - -! Reaction index: Chemkin #6073; RMG #473021 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C7H12R(199)+C9H12R(18225)<=>C7H13R(330)+C9H11R(18275) 1.225854e+27 -4.376 7.080 - -! Reaction index: Chemkin #6074; RMG #473169 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C9H12R(18225)<=>CC(C)C(29484)+C9H11R(18275) 1.225854e+27 -4.376 3.500 - -! Reaction index: Chemkin #6075; RMG #473367 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C9H12R(18225)<=>C6H8(18175)+C9H11R(18275) 1.225854e+27 -4.376 9.839 - -! Reaction index: Chemkin #6076; RMG #480896 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C10H13(202)<=>C9H11R(18275)+C10H14(179) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #6077; RMG #484717 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C11H15(234)<=>C9H11R(18275)+C11H16(229) 1.225854e+27 -4.376 7.301 - -! Reaction index: Chemkin #6078; RMG #487725 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C12H15(323)<=>C9H11R(18275)+C12H16(269) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #6079; RMG #535697 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C12H15(18406)<=>C9H11R(18275)+C12H16(18680) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #6080; RMG #612296 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C9H11R(18275), C9H12R(18225); H(82), C9H12R(18225); -! From training reaction 9 used for Cds-HH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H11R(18275)<=>C9H12R(18225) 3.360000e+08 1.560 0.600 - -! Reaction index: Chemkin #6081; RMG #612293 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H12R(18225), C9H12R(34500); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H -C9H12R(18225)<=>C9H12R(34500) 9.450000e+10 0.290 6.187 - -! Reaction index: Chemkin #6082; RMG #144450 -! Library reaction: restart_edge -! Flux pairs: C4H7(156), C10H14(18434); C6H7(239), C10H14(18434); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C6H7(239)<=>C10H14(18434) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #6083; RMG #620269 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C11H17(10750), C11H16(11277); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H17(10750)+C12H15(18406)<=>C11H16(11277)+C12H16(18680) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6084; RMG #184248 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H7L(262), C10H14L(20637); C5H7(174), C10H14L(20637); -! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: R_Addition_MultipleBond -C5H7L(262)+C5H7(174)<=>C10H14L(20637) 4.980000e+04 2.410 8.810 - -! Reaction index: Chemkin #6085; RMG #144073 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18278); C6H7(239), C10H13R(18278); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C4H6R(79)+C6H7(239)<=>C10H13R(18278) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #6086; RMG #577428 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C10H13R(18278), C10H14R(18285); H(82), C10H14R(18285); -! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C10H13R(18278)<=>C10H14R(18285) 1.691000e+10 1.168 2.996 - -! Reaction index: Chemkin #6087; RMG #620808 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(65)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530 - -! Reaction index: Chemkin #6088; RMG #620814 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(69)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530 - -! Reaction index: Chemkin #6089; RMG #620820 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(66)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6090; RMG #620826 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(68)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6091; RMG #620832 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(72)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530 - -! Reaction index: Chemkin #6092; RMG #620838 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(73)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6093; RMG #620844 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(71)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6094; RMG #620850 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(67)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6095; RMG #620856 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(70)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6096; RMG #620910 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C10H20R(64)<=>C10H13R(18278)+RC10(2) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6097; RMG #620964 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C10H20L(76)<=>C10H13R(18278)+LC10(3) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6098; RMG #620970 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C10H14R(18285)<=>C3H5R(12)+C10H13R(18278) 2.451708e+27 -4.376 6.812 - -! Reaction index: Chemkin #6099; RMG #621010 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)L(4)+C10H14R(18285)<=>CC(C)L(13)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6100; RMG #621028 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)L(7)+C10H14R(18285)<=>CCCC(C)L(16)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6101; RMG #621052 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(171)+C10H14R(18285)<=>C6H11R(17)+C10H13R(18278) 2.451708e+27 -4.376 6.938 - -! Reaction index: Chemkin #6102; RMG #621098 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C3H5(102)+C10H14R(18285)<=>C3H6(18)+C10H13R(18278) 4.903416e+27 -4.376 6.184 - -! Reaction index: Chemkin #6103; RMG #621172 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)CR(6)+C10H14R(18285)<=>CC(C)CR(20)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6104; RMG #621242 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]R(14)+C10H14R(18285)<=>CR(22)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6105; RMG #621278 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H14R(9)+C10H14R(18285)<=>CC(C)CC(C)CR(23)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6106; RMG #621290 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(89)+C10H14R(18285)<=>C5H9L(24)+C10H13R(18278) 2.451708e+27 -4.376 6.938 - -! Reaction index: Chemkin #6107; RMG #621348 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H12L(11)+C10H14R(18285)<=>CC(C)CC(C)L(25)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6108; RMG #621366 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C10H14R(18285)<=>CCL(26)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6109; RMG #621372 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C10H14R(18285)<=>CCCR(27)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6110; RMG #621402 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)CR(5)+C10H14R(18285)<=>CCCC(C)CR(32)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6111; RMG #621426 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(90)+C10H14R(18285)<=>C6H11R(56)+C10H13R(18278) 2.451708e+27 -4.376 7.246 - -! Reaction index: Chemkin #6112; RMG #621444 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(171)+C10H14R(18285)<=>C6H11R(56)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6113; RMG #621478 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C10H14R(18285)<=>C5H9L(57)+C10H13R(18278) 2.451708e+27 -4.376 7.246 - -! Reaction index: Chemkin #6114; RMG #621490 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(89)+C10H14R(18285)<=>C5H9L(57)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6115; RMG #621524 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C10H14R(18285)<=>C3H5R(58)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6116; RMG #621558 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C3H4L(147)+C10H14R(18285)<=>C3H5L(59)+C10H13R(18278) 4.903416e+27 -4.376 6.159 - -! Reaction index: Chemkin #6117; RMG #621586 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C4H6R(224)+C10H14R(18285)<=>C4H7R(60)+C10H13R(18278) 4.903416e+27 -4.376 6.159 - -! Reaction index: Chemkin #6118; RMG #621592 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(79)+C10H14R(18285)<=>C4H7R(60)+C10H13R(18278) 2.451708e+27 -4.376 6.812 - -! Reaction index: Chemkin #6119; RMG #621620 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C8H14L(112)+C10H14R(18285)<=>C8H15L(61)+C10H13R(18278) 2.451708e+27 -4.376 7.246 - -! Reaction index: Chemkin #6120; RMG #621690 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(108)+C10H14R(18285)<=>C7H13R(62)+C10H13R(18278) 2.451708e+27 -4.376 6.938 - -! Reaction index: Chemkin #6121; RMG #621742 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(103)+C10H14R(18285)<=>C6H11L(63)+C10H13R(18278) 2.451708e+27 -4.376 6.938 - -! Reaction index: Chemkin #6122; RMG #621782 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -CH3(74)+C10H14R(18285)<=>C(75)+C10H13R(18278) 2.451708e+27 -4.376 3.159 - -! Reaction index: Chemkin #6123; RMG #621788 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(79)+C10H14R(18285)<=>C4H7R(81)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6124; RMG #621816 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -H(82)+C10H14R(18285)<=>[H][H](83)+C10H13R(18278) 2.451708e+27 -4.376 3.285 - -! Reaction index: Chemkin #6125; RMG #621822 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C10H14R(18285)<=>C5H9L(84)+C10H13R(18278) 2.451708e+27 -4.376 6.927 - -! Reaction index: Chemkin #6126; RMG #621862 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(90)+C10H14R(18285)<=>C6H11R(98)+C10H13R(18278) 2.451708e+27 -4.376 6.927 - -! Reaction index: Chemkin #6127; RMG #621908 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(169)+C10H14R(18285)<=>C6H11L(107)+C10H13R(18278) 2.451708e+27 -4.376 7.246 - -! Reaction index: Chemkin #6128; RMG #621920 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(103)+C10H14R(18285)<=>C6H11L(107)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6129; RMG #621954 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(113)+C10H14R(18285)<=>C6H10(110)+C10H13R(18278) 2.451708e+27 -4.376 8.172 - -! Reaction index: Chemkin #6130; RMG #622010 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(199)+C10H14R(18285)<=>C7H13R(120)+C10H13R(18278) 2.451708e+27 -4.376 7.246 - -! Reaction index: Chemkin #6131; RMG #622028 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(108)+C10H14R(18285)<=>C7H13R(120)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6132; RMG #622242 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H9L2(203)+C10H14R(18285)<=>CC(L)CC(C)L(35)+C10H13R(18278) 2.451708e+27 -4.376 4.530 - -! Reaction index: Chemkin #6133; RMG #622548 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C8H16L(15)+C10H14R(18285)<=>C8H17L(49)+C10H13R(18278) 2.451708e+27 -4.376 4.192 - -! Reaction index: Chemkin #6134; RMG #622608 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(219)+C10H14R(18285)<=>C3H5L(86)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6135; RMG #622654 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H15(85)+C10H14R(18285)<=>CC(C)CC(C)C(87)+C10H13R(18278) 2.451708e+27 -4.376 3.757 - -! Reaction index: Chemkin #6136; RMG #622716 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H14R(18285)<=>CCC(95)+C10H13R(18278) 2.451708e+27 -4.376 4.174 - -! Reaction index: Chemkin #6137; RMG #622722 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]CC(195)+C10H14R(18285)<=>CCC(95)+C10H13R(18278) 2.451708e+27 -4.376 3.682 - -! Reaction index: Chemkin #6138; RMG #623018 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H9(160)+C10H14R(18285)<=>C6H10(116)+C10H13R(18278) 4.903416e+27 -4.376 7.511 - -! Reaction index: Chemkin #6139; RMG #623024 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(114)+C10H14R(18285)<=>C6H10(116)+C10H13R(18278) 2.451708e+27 -4.376 7.511 - -! Reaction index: Chemkin #6140; RMG #623104 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C10H14R(18285)<=>C6H8(118)+C10H13R(18278) 4.903416e+27 -4.376 6.908 - -! Reaction index: Chemkin #6141; RMG #623110 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H14R(18285)<=>C6H8(118)+C10H13R(18278) 2.451708e+27 -4.376 8.083 - -! Reaction index: Chemkin #6142; RMG #623166 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C10H14R(18285)<=>C6H8(125)+C10H13R(18278) 4.903416e+27 -4.376 6.989 - -! Reaction index: Chemkin #6143; RMG #623296 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C4H7(156)+C10H14R(18285)<=>C4H8(157)+C10H13R(18278) 4.903416e+27 -4.376 5.872 - -! Reaction index: Chemkin #6144; RMG #623392 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C5H7(174)+C10H14R(18285)<=>C5H8(173)+C10H13R(18278) 4.903416e+27 -4.376 8.083 - -! Reaction index: Chemkin #6145; RMG #623460 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C5H7(178)+C10H14R(18285)<=>C5H8(180)+C10H13R(18278) 4.903416e+27 -4.376 7.511 - -! Reaction index: Chemkin #6146; RMG #623480 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 30.0 -C5H5(189)+C10H14R(18285)<=>C5H6(187)+C10H13R(18278) 1.225854e+28 -4.376 6.892 - -! Reaction index: Chemkin #6147; RMG #623888 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H8R(287)+C10H14R(18285)<=>C6H9R(285)+C10H13R(18278) 2.451708e+27 -4.376 8.083 - -! Reaction index: Chemkin #6148; RMG #623950 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H14R(18285)<=>C6H8(290)+C10H13R(18278) 2.451708e+27 -4.376 8.907 - -! Reaction index: Chemkin #6149; RMG #624006 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(169)+C10H14R(18285)<=>C6H11L(325)+C10H13R(18278) 2.451708e+27 -4.376 7.286 - -! Reaction index: Chemkin #6150; RMG #624046 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(199)+C10H14R(18285)<=>C7H13R(330)+C10H13R(18278) 2.451708e+27 -4.376 7.286 - -! Reaction index: Chemkin #6151; RMG #624098 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)C(399)+C10H14R(18285)<=>CC(C)C(29484)+C10H13R(18278) 2.451708e+27 -4.376 3.633 - -! Reaction index: Chemkin #6152; RMG #624200 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H14R(18285)<=>C6H8(18175)+C10H13R(18278) 2.451708e+27 -4.376 10.091 - -! Reaction index: Chemkin #6153; RMG #624918 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H14(179); C10H13(202), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H13(202)+C10H14R(18285)<=>C10H13R(18278)+C10H14(179) 2.451708e+27 -4.376 7.571 - -! Reaction index: Chemkin #6154; RMG #625418 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C11H15(234)<=>C10H13R(18278)+C11H16(229) 2.451708e+27 -4.376 7.511 - -! Reaction index: Chemkin #6155; RMG #627156 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C12H15(18406)<=>C10H13R(18278)+C12H16(18680) 2.451708e+27 -4.376 7.571 - -! Reaction index: Chemkin #6156; RMG #148512 -! Library reaction: restart_edge -! Flux pairs: C5H7(178), C11H14(18772); C6H7(239), C11H14(18772); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C6H7(239)<=>C11H14(18772) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #6157; RMG #549616 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H13(18468)<=>C9H17LR(65)+C11H14(18772) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6158; RMG #549617 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H13(18468)<=>C9H17LR(69)+C11H14(18772) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6159; RMG #549618 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6160; RMG #549619 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6161; RMG #549620 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C11H13(18468)<=>C9H17LR(72)+C11H14(18772) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6162; RMG #549621 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6163; RMG #549622 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6164; RMG #549623 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6165; RMG #549624 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6166; RMG #549630 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C11H14(18772)<=>C3H5R(12)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6167; RMG #549638 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C11H14(18772)<=>CC(C)L(13)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6168; RMG #549644 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C11H13(18468)<=>C3H5(102)+C11H14(18772) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6169; RMG #549662 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C11H14(18772)<=>CC(C)CR(20)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6170; RMG #549664 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C11H14(18772)<=>CR(22)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6171; RMG #549673 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C11H14(18772)<=>C5H9L(24)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6172; RMG #549687 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C11H14(18772)<=>CC(C)CC(C)L(25)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6173; RMG #549692 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C11H14(18772)<=>CCL(26)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6174; RMG #549696 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C11H14(18772)<=>CCCR(27)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6175; RMG #550259 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C11H13(18468)<=>C6H10R(90)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6176; RMG #550262 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C11H14(18772)<=>C6H11R(56)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6177; RMG #550274 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C11H13(18468)<=>C5H8L(77)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6178; RMG #550276 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C11H14(18772)<=>C5H9L(57)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6179; RMG #550286 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C11H14(18772)<=>C3H5R(58)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6180; RMG #550295 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C11H14(18772)<=>C3H5L(59)+C11H13(18468) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6181; RMG #550304 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C11H14(18772)<=>C4H7R(60)+C11H13(18468) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6182; RMG #550305 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C11H14(18772)<=>C4H7R(60)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6183; RMG #550318 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C7H12R(108), C7H13R(62); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C11H14(18772)<=>C7H13R(62)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6184; RMG #550333 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H10L(103), C6H11L(63); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C11H14(18772)<=>C6H11L(63)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6185; RMG #550340 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C11H13(18468)<=>CH3(74)+C11H14(18772) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #6186; RMG #550345 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C11H14(18772)<=>C4H7R(81)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6187; RMG #550355 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C11H14(18772)<=>C5H9L(84)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6188; RMG #550379 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C11H13(18468)<=>C[CH]C(94)+C11H14(18772) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #6189; RMG #550380 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C11H14(18772)<=>CCC(95)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6190; RMG #550388 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(90), C6H11R(98); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C11H14(18772)<=>C6H11R(98)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6191; RMG #550417 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C11H13(18468)<=>C6H10L(169)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6192; RMG #550419 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C11H14(18772)<=>C6H11L(107)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6193; RMG #550607 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H9(160), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9(160)+C11H14(18772)<=>C6H10(116)+C11H13(18468) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #6194; RMG #550608 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H9(114), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(114)+C11H14(18772)<=>C6H10(116)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6195; RMG #550718 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C11H13(18468)<=>C6H7(123)+C11H14(18772) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #6196; RMG #550719 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6197; RMG #550736 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C11H13(18468)<=>C6H7(123)+C11H14(18772) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #6198; RMG #550825 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C11H14(18772)<=>C4H8(157)+C11H13(18468) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6199; RMG #550974 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C5H7(178), C5H8(180); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C11H14(18772)<=>C5H8(180)+C11H13(18468) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #6200; RMG #551032 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C11H13(18468)<=>C5H5(189)+C11H14(18772) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #6201; RMG #556456 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C11H14(18772)<=>C3H5L(86)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6202; RMG #556806 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C7H13R(120), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C11H13(18468)<=>C7H12R(199)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6203; RMG #556809 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C11H14(18772)<=>C7H13R(120)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6204; RMG #561389 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C11H13(18468)<=>C5H7(174)+C11H14(18772) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6205; RMG #564924 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C11H13(18468)<=>C6H10L(169)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6206; RMG #564949 -! Template reaction: H_Abstraction -! Flux pairs: C11H13(18468), C11H14(18772); C7H13R(330), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C11H13(18468)<=>C7H12R(199)+C11H14(18772) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6207; RMG #572658 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C11H14(18772)<=>CCCC(C)L(16)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6208; RMG #585222 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C11H14(18772)<=>CCCC(C)CR(32)+C11H13(18468) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6209; RMG #588108 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C11H14(18772)<=>CC(C)CC(C)CR(23)+C11H13(18468) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6210; RMG #629357 -! Template reaction: R_Recombination -! Flux pairs: C11H13(18468), C11H14(18772); H(82), C11H14(18772); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C11H13(18468)<=>C11H14(18772) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #6211; RMG #629567 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C11H13(18468)<=>C3H5R(12)+C11H14(18772) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #6212; RMG #629633 -! Template reaction: H_Abstraction -! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(171), C6H11R(17); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C11H14(18772)<=>C6H11R(17)+C11H13(18468) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6213; RMG #629689 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C11H13(18468)<=>C6H11R(17)+C11H14(18772) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #6214; RMG #629717 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C11H13(18468)<=>C3H6(18)+C11H14(18772) 2.105300e+14 -0.550 0.172 - -! Reaction index: Chemkin #6215; RMG #629727 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C11H13(18468)<=>C3H6(18)+C11H14(18772) 2.451708e+27 -4.376 7.580 - -! Reaction index: Chemkin #6216; RMG #629757 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C11H13(18468)<=>C2H3L(19)+C11H14(18772) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #6217; RMG #629865 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C11H13(18468)<=>C8H15L(21)+C11H14(18772) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #6218; RMG #629960 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C11H13(18468)<=>C5H9L(24)+C11H14(18772) 1.225854e+27 -4.376 7.493 - -! Reaction index: Chemkin #6219; RMG #631525 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C11H13(18468)<=>C6H11R(56)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6220; RMG #631589 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C11H13(18468)<=>C5H9L(57)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6221; RMG #631652 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C11H13(18468)<=>C3H5R(58)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6222; RMG #631682 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C11H13(18468)<=>C3H5L(59)+C11H14(18772) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #6223; RMG #631730 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C11H13(18468)<=>C4H7R(60)+C11H14(18772) 5.258140e+13 -0.550 0.119 - -! Reaction index: Chemkin #6224; RMG #631798 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C11H13(18468)<=>C8H15L(61)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6225; RMG #631870 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C11H13(18468)<=>C7H13R(62)+C11H14(18772) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6226; RMG #631934 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C11H13(18468)<=>C6H11L(63)+C11H14(18772) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6227; RMG #633044 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C11H13(18468), C11H14(18772); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C11H13(18468)<=>C6H9(113)+C11H14(18772) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6228; RMG #633361 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H13(18468)<=>C6H8(118)+C11H14(18772) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6229; RMG #633481 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C11H13(18468)<=>C6H8(125)+C11H14(18772) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6230; RMG #633491 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C11H13(18468)<=>C6H8(125)+C11H14(18772) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #6231; RMG #633702 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C11H13(18468)<=>C4H8(157)+C11H14(18772) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6232; RMG #634125 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C10H13(202), C10H14(179); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H13(202)+C11H17(10750)<=>C10H14(179)+C11H16(11277) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6233; RMG #634635 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C11H13(18468)<=>C10H14(184)+C11H14(18772) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6234; RMG #634773 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C11H13(18468)<=>C5H6(187)+C11H14(18772) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #6235; RMG #635005 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C11H13(18468)<=>C8H12(194)+C11H14(18772) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #6236; RMG #635269 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C11H13(18468)<=>C10H12(201)+C11H14(18772) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6237; RMG #636000 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C11H15(234), C11H16(229); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(234)+C11H17(10750)<=>C11H16(229)+C11H16(11277) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #6238; RMG #636247 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C11H13(18468), C11H14(18772); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #6239; RMG #636263 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C11H13(18468), C11H14(18772); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6240; RMG #636491 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C11H13(18468)<=>C10H13R(240)+C11H14(18772) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #6241; RMG #636765 -! Template reaction: Disproportionation -! Flux pairs: C11H15(18464), C11H14(246); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C11H15(18464)<=>C11H14(18772)+C11H14(246) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6242; RMG #636927 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C11H13(18468)<=>C6H6(252)+C11H14(18772) 1.350000e+03 2.700 0.437 - -! Reaction index: Chemkin #6243; RMG #636947 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C11H13(18468)<=>C6H6(252)+C11H14(18772) 1.225854e+27 -4.376 11.468 - -! Reaction index: Chemkin #6244; RMG #637343 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H14(257); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C12H15(18389)<=>C11H14(18772)+C12H14(257) 1.225854e+27 -4.376 11.386 - -! Reaction index: Chemkin #6245; RMG #637773 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C11H13(18468)<=>C5H7L(262)+C11H14(18772) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6246; RMG #637803 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C11H13(18468)<=>C5H7L(262)+C11H14(18772) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6247; RMG #638525 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C12H15(323)<=>C10H13R(18278)+C12H16(269) 2.451708e+27 -4.376 7.571 - -! Reaction index: Chemkin #6248; RMG #639255 -! Template reaction: Disproportionation -! Flux pairs: C11H15(256), C11H14(271); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C11H15(256)<=>C11H14(18772)+C11H14(271) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6249; RMG #639363 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C11H13(18468)<=>C9H12(272)+C11H14(18772) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #6250; RMG #639973 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C11H13(298)<=>C10H13R(18278)+C11H14(276) 2.451708e+27 -4.376 7.571 - -! Reaction index: Chemkin #6251; RMG #640301 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H14(277); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C11H13(18468)+C12H15(22038)<=>C11H14(18772)+C12H14(277) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6252; RMG #640720 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C11H13(18468)<=>C6H9R(285)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6253; RMG #640730 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(285), C6H8R(287); C11H13(18468), C11H14(18772); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C11H13(18468)<=>C6H8R(287)+C11H14(18772) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6254; RMG #640870 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C11H13(18468)<=>C6H8(290)+C11H14(18772) 1.225854e+27 -4.376 11.307 - -! Reaction index: Chemkin #6255; RMG #643666 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C12H16(18680)<=>CC(C)C(29484)+C12H15(18406) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6256; RMG #644368 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C11H13(18468)<=>C9H12(18323)+C11H14(18772) 1.225854e+27 -4.376 7.689 - -! Reaction index: Chemkin #6257; RMG #644748 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C12H17(266)<=>C11H14(18772)+C12H16(18380) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6258; RMG #645680 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C11H13(18468)<=>C9H11R(18275)+C11H14(18772) 1.225854e+27 -4.376 7.361 - -! Reaction index: Chemkin #6259; RMG #646134 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C11H13(18468)<=>C10H13R(18283)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6260; RMG #647834 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C11H17(238)<=>C11H14(18772)+C11H16(11281) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6261; RMG #647844 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C11H17(181)<=>C11H14(18772)+C11H16(11281) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6262; RMG #648186 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C11H13(18468)<=>C9H11L(18431)+C11H14(18772) 1.225854e+27 -4.376 7.503 - -! Reaction index: Chemkin #6263; RMG #648660 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C11H13(18468), C11H14(18772); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H13(18468)+C11H17(10750)<=>C11H14(18772)+C11H16(11277) 1.225854e+27 -4.376 10.132 - -! Reaction index: Chemkin #6264; RMG #648876 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C11H13(18468)<=>C10H13R(18278)+C11H14(18772) 2.451708e+27 -4.376 7.571 - -! Reaction index: Chemkin #6265; RMG #144496 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C5H8(173), C11H15(18454); C6H7(239), C11H15(18454); -! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C5H8(173)+C6H7(239)<=>C11H15(18454) 1.190000e+04 2.410 10.290 - -! Reaction index: Chemkin #6266; RMG #22703 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H10R(90); C6H9R(1802), C6H10R(90); -! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H9R(1802)<=>C6H10R(90) 2.310000e+08 1.640 -0.470 - -! Reaction index: Chemkin #6267; RMG #23209 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(90)<=>C5H9L(57)+C6H9R(1802) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #6268; RMG #23216 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H10R(90)<=>C5H9L(84)+C6H9R(1802) 1.225850e+27 -4.376 9.545 - -! Reaction index: Chemkin #6269; RMG #23222 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H10R(90)<=>C3H5R(12)+C6H9R(1802) 1.225850e+27 -4.376 9.405 - -! Reaction index: Chemkin #6270; RMG #23228 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4R(78)+C6H10R(90)<=>C3H5R(58)+C6H9R(1802) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #6271; RMG #23233 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H10R(90)<=>C4H7R(60)+C6H9R(1802) 1.225850e+27 -4.376 9.405 - -! Reaction index: Chemkin #6272; RMG #23238 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6R(79)+C6H10R(90)<=>C4H7R(81)+C6H9R(1802) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #6273; RMG #23272 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H10R(90)<=>C5H9L(24)+C6H9R(1802) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #6274; RMG #23278 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(89)+C6H10R(90)<=>C5H9L(57)+C6H9R(1802) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #6275; RMG #23283 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 1.225850e+27 -4.376 9.934 - -! Reaction index: Chemkin #6276; RMG #23287 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(98); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C6H10R(90)<=>C6H9R(1802)+C6H11R(98) 1.225850e+27 -4.376 9.545 - -! Reaction index: Chemkin #6277; RMG #29566 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H5(102)+C6H10R(90)<=>C3H6(18)+C6H9R(1802) 2.451710e+27 -4.376 8.636 - -! Reaction index: Chemkin #6278; RMG #30166 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11L(63); C6H10L(103), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C6H10R(90)<=>C6H9R(1802)+C6H11L(63) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #6279; RMG #30168 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11L(107); C6H10L(103), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10L(103)+C6H10R(90)<=>C6H9R(1802)+C6H11L(107) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #6280; RMG #36169 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H12R(108)<=>C6H9R(1802)+C7H13R(62) 1.225850e+27 -4.376 9.560 - -! Reaction index: Chemkin #6281; RMG #36171 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H12R(108)<=>C6H9R(1802)+C7H13R(120) 1.225850e+27 -4.376 8.605 - -! Reaction index: Chemkin #6282; RMG #42735 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H10(110); C6H9(113), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(113)+C6H10R(90)<=>C6H9R(1802)+C6H10(110) 1.225850e+27 -4.376 11.055 - -! Reaction index: Chemkin #6283; RMG #42752 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H10(116); C6H9(114), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C6H10R(90)<=>C6H9R(1802)+C6H10(116) 1.225850e+27 -4.376 10.255 - -! Reaction index: Chemkin #6284; RMG #72144 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(147)+C6H10R(90)<=>C3H5L(59)+C6H9R(1802) 2.451710e+27 -4.376 8.605 - -! Reaction index: Chemkin #6285; RMG #72149 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H7(156)+C6H10R(90)<=>C4H8(157)+C6H9R(1802) 2.451710e+27 -4.376 8.251 - -! Reaction index: Chemkin #6286; RMG #77546 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H10R(171); C6H9R(1802), C6H10R(171); -! From training reaction 2570 used for Cds-CsCs_Cds-CdH;HJ -! Exact match found for rate rule [Cds-CsCs_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H9R(1802)<=>C6H10R(171) 7.170000e+07 1.640 1.180 - -! Reaction index: Chemkin #6287; RMG #82625 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(174)+C6H10R(90)<=>C5H8(173)+C6H9R(1802) 2.451710e+27 -4.376 10.947 - -! Reaction index: Chemkin #6288; RMG #83350 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H7(178)+C6H10R(90)<=>C5H8(180)+C6H9R(1802) 2.451710e+27 -4.376 10.255 - -! Reaction index: Chemkin #6289; RMG #144140 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H10R(90)<=>C6H8(118)+C6H9R(1802) 1.225850e+27 -4.376 10.947 - -! Reaction index: Chemkin #6290; RMG #144143 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H10R(90)<=>C6H8(18175)+C6H9R(1802) 1.225850e+27 -4.376 13.349 - -! Reaction index: Chemkin #6291; RMG #144145 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(239)+C6H10R(90)<=>C6H8(290)+C6H9R(1802) 1.225850e+27 -4.376 11.938 - -! Reaction index: Chemkin #6292; RMG #271934 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(65); C6H8R(287), C6H9R(1802); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(65) 6.950000e-03 4.340 19.090 - -! Reaction index: Chemkin #6293; RMG #271935 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(69); C6H8R(287), C6H9R(1802); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(69) 6.950000e-03 4.340 19.090 - -! Reaction index: Chemkin #6294; RMG #271936 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(66), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(66)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6295; RMG #271937 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(68), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(68)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6296; RMG #271938 -! Template reaction: H_Abstraction -! Flux pairs: RC10L(1), C9H17LR(72); C6H8R(287), C6H9R(1802); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(72) 6.950000e-03 4.340 19.090 - -! Reaction index: Chemkin #6297; RMG #271939 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(73), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(73)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6298; RMG #271940 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(71), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(71)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6299; RMG #271941 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(67), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(67)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6300; RMG #271942 -! Template reaction: H_Abstraction -! Flux pairs: C9H17LR(70), RC10L(1); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C9H17LR(70)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6301; RMG #271968 -! Template reaction: H_Abstraction -! Flux pairs: C10H20R(64), RC10(2); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C10H20R(64)<=>C6H8R(287)+RC10(2) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6302; RMG #271994 -! Template reaction: H_Abstraction -! Flux pairs: C10H20L(76), LC10(3); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C10H20L(76)<=>C6H8R(287)+LC10(3) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6303; RMG #272004 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H9R(1802)<=>C3H5R(12)+C6H8R(287) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6304; RMG #272013 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C6H9R(1802)<=>CC(C)L(13)+C6H8R(287) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6305; RMG #272035 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C6H9R(1802)<=>CCCC(C)L(16)+C6H8R(287) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6306; RMG #272054 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(17); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H10R(171)<=>C6H8R(287)+C6H11R(17) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6307; RMG #272080 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C6H8R(287)<=>C3H5(102)+C6H9R(1802) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6308; RMG #272104 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C6H9R(1802)<=>CC(C)CR(20)+C6H8R(287) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6309; RMG #272136 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C6H9R(1802)<=>CR(22)+C6H8R(287) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6310; RMG #272153 -! Template reaction: H_Abstraction -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C7H14R(9)<=>C6H8R(287)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6311; RMG #272168 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H9R(1802)<=>C5H9L(24)+C6H8R(287) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6312; RMG #272186 -! Template reaction: H_Abstraction -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H12L(11)<=>C6H8R(287)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6313; RMG #272192 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C6H9R(1802)<=>CCL(26)+C6H8R(287) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6314; RMG #272198 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C6H9R(1802)<=>CCCR(27)+C6H8R(287) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6315; RMG #272358 -! Template reaction: H_Abstraction -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C[CH]CC(C)CR(5)<=>C6H8R(287)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6316; RMG #272404 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C6H8R(287)<=>C5H9L2(203)+C6H9R(1802) 1.390000e-02 4.340 19.090 - -! Reaction index: Chemkin #6317; RMG #272800 -! Template reaction: H_Abstraction -! Flux pairs: C8H16L(15), C8H17L(49); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C8H16L(15)<=>C6H8R(287)+C8H17L(49) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6318; RMG #272836 -! Template reaction: H_Abstraction -! Flux pairs: C6H11R(56), C6H10R(90); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11R(56)<=>C6H9R(1802)+C6H10R(90) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6319; RMG #272839 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(171), C6H11R(56); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H10R(171)<=>C6H8R(287)+C6H11R(56) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6320; RMG #272856 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C6H8R(287)<=>C5H8L(77)+C6H9R(1802) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6321; RMG #272858 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C6H9R(1802)<=>C5H9L(57)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6322; RMG #272872 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C6H9R(1802)<=>C3H5R(58)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6323; RMG #272883 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C6H9R(1802)<=>C3H5L(59)+C6H8R(287) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6324; RMG #272894 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C6H9R(1802)<=>C4H7R(60)+C6H8R(287) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6325; RMG #272895 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H9R(1802)<=>C4H7R(60)+C6H8R(287) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6326; RMG #272918 -! Template reaction: H_Abstraction -! Flux pairs: C8H15L(61), C8H14L(112); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C8H15L(61)<=>C6H9R(1802)+C8H14L(112) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6327; RMG #272944 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(62); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C7H12R(108)<=>C6H8R(287)+C7H13R(62) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6328; RMG #272965 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(63); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H10L(103)<=>C6H8R(287)+C6H11L(63) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6329; RMG #272972 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C6H8R(287)<=>CH3(74)+C6H9R(1802) 4.240000e-02 4.340 27.670 - -! Reaction index: Chemkin #6330; RMG #272988 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C6H9R(1802)<=>C4H7R(81)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6331; RMG #272993 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 112.1 to 113.1 kJ/mol to match endothermicity of reaction. -! Ea raised from 113.1 to 113.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C6H8R(287)<=>H(82)+C6H9R(1802) 4.580000e-02 4.340 27.040 - -! Reaction index: Chemkin #6332; RMG #273005 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C6H9R(1802)<=>C5H9L(84)+C6H8R(287) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6333; RMG #273020 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C6H9R(1802)<=>C3H5L(86)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6334; RMG #273038 -! Template reaction: H_Abstraction -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C7H15(85)<=>C6H8R(287)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6335; RMG #273064 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C6H8R(287)<=>C[CH]C(94)+C6H9R(1802) 1.476000e-02 4.340 21.145 - -! Reaction index: Chemkin #6336; RMG #273065 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C6H9R(1802)<=>CCC(95)+C6H8R(287) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6337; RMG #273079 -! Template reaction: H_Abstraction -! Flux pairs: C6H10R(90), C6H11R(98); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H10R(90)<=>C6H8R(287)+C6H11R(98) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6338; RMG #273149 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(107), C6H10L(169); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11L(107)<=>C6H9R(1802)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6339; RMG #273151 -! Template reaction: H_Abstraction -! Flux pairs: C6H10L(103), C6H11L(107); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H10L(103)<=>C6H8R(287)+C6H11L(107) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6340; RMG #273173 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(113), C6H10(110); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H9(113)<=>C6H8R(287)+C6H10(110) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6341; RMG #273233 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H9(114)<=>C6H8(125)+C6H9R(1802) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6342; RMG #273234 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C6H9(114)<=>C6H8(290)+C6H9R(1802) 1.225850e+27 -4.376 12.818 - -! Reaction index: Chemkin #6343; RMG #273241 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H9(114)<=>C6H8(118)+C6H9R(1802) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6344; RMG #273298 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(160), C6H10(116); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9R(1802)+C6H9(160)<=>C6H8R(287)+C6H10(116) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #6345; RMG #273299 -! Template reaction: H_Abstraction -! Flux pairs: C6H9(114), C6H10(116); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C6H9(114)<=>C6H8R(287)+C6H10(116) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6346; RMG #273387 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C6H8R(287)<=>C6H7(123)+C6H9R(1802) 1.962000e-03 4.340 7.430 - -! Reaction index: Chemkin #6347; RMG #273388 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C6H7(239), C6H8(118); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H7(239)+C6H9R(1802)<=>C6H8(118)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6348; RMG #273408 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(120), C7H12R(199); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C7H13R(120)<=>C6H9R(1802)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6349; RMG #273411 -! Template reaction: H_Abstraction -! Flux pairs: C7H12R(108), C7H13R(120); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C7H12R(108)<=>C6H8R(287)+C7H13R(120) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6350; RMG #273432 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C6H8R(287)<=>C6H7(123)+C6H9R(1802) 1.962000e-03 4.340 7.080 - -! Reaction index: Chemkin #6351; RMG #273505 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C6H9R(1802)<=>C4H8(157)+C6H8R(287) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6352; RMG #273513 -! Library reaction: restart_edge -! Flux pairs: C6H9(160), C6H9R(1802); C6H8R(287), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H8R(287)+C6H9(160)<=>C6H8(125)+C6H9R(1802) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6353; RMG #273562 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C5H7(174), C5H8(173); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(174)+C6H9R(1802)<=>C5H8(173)+C6H8R(287) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6354; RMG #273588 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H8R(287)<=>C5H6(187)+C6H9R(1802) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6355; RMG #273625 -! Template reaction: H_Abstraction -! Flux pairs: C10H13(202), C10H14(179); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C10H13(202)<=>C6H8R(287)+C10H14(179) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6356; RMG #273646 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C5H7(178), C5H8(180); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H7(178)+C6H9R(1802)<=>C5H8(180)+C6H8R(287) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #6357; RMG #273679 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C6H8R(287)<=>C5H5(189)+C6H9R(1802) 1.962000e-03 4.340 7.502 - -! Reaction index: Chemkin #6358; RMG #274050 -! Template reaction: H_Abstraction -! Flux pairs: C11H15(234), C11H16(229); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C11H15(234)<=>C6H8R(287)+C11H16(229) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6359; RMG #274070 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H8R(287)<=>C6H6(252)+C6H9R(1802) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6360; RMG #274695 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H9R(285); C6H8R(287), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8R(287)+C6H9R(1802)<=>C6H8R(287)+C6H9R(285) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6361; RMG #279699 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C6H8R(287)<=>C6H7(239)+C6H9R(1802) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6362; RMG #285386 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H8R(287)<=>C2H3L(19)+C6H9R(1802) 1.225850e+27 -4.376 8.888 - -! Reaction index: Chemkin #6363; RMG #285472 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C6H8R(287)<=>C5H7L(262)+C6H9R(1802) 1.225850e+27 -4.376 11.760 - -! Reaction index: Chemkin #6364; RMG #285503 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(285) 1.547940e+12 0.025 0.000 -DUPLICATE - -! Reaction index: Chemkin #6365; RMG #285507 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(285) 1.225850e+27 -4.376 10.947 -DUPLICATE - -! Reaction index: Chemkin #6366; RMG #285511 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H9R(1802); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(1802) 1.225850e+27 -4.376 11.760 - -! Reaction index: Chemkin #6367; RMG #295164 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H8R(287)<=>C3H5R(58)+C6H9R(1802) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6368; RMG #295165 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H8R(287)<=>C3H5R(12)+C6H9R(1802) 1.225850e+27 -4.376 8.888 - -! Reaction index: Chemkin #6369; RMG #350005 -! Template reaction: H_Abstraction -! Flux pairs: C6H11L(325), C6H10L(169); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C6H11L(325)<=>C6H9R(1802)+C6H10L(169) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6370; RMG #371328 -! Template reaction: H_Abstraction -! Flux pairs: C7H13R(330), C7H12R(199); C6H8R(287), C6H9R(1802); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H8R(287)+C7H13R(330)<=>C6H9R(1802)+C7H12R(199) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6371; RMG #393269 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C6H8R(287)<=>C3H6(18)+C6H9R(1802) 2.451710e+27 -4.376 8.769 - -! Reaction index: Chemkin #6372; RMG #393325 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C6H8R(287)<=>C6H6(252)+C6H9R(1802) 1.225850e+27 -4.376 12.991 - -! Reaction index: Chemkin #6373; RMG #408626 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H7(239)+C6H10R(171)<=>C6H8(118)+C6H9R(1802) 7.830000e+11 0.000 1.042 - -! Reaction index: Chemkin #6374; RMG #408630 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C6H10R(171)<=>C6H8(18175)+C6H9R(1802) 5.258140e+13 -0.550 2.163 - -! Reaction index: Chemkin #6375; RMG #408633 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H7(239)+C6H10R(171)<=>C6H8(290)+C6H9R(1802) 5.258140e+13 -0.550 1.466 - -! Reaction index: Chemkin #6376; RMG #409808 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C6H9R(1802)<=>CC(C)C(29484)+C6H8R(287) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6377; RMG #468439 -! Template reaction: H_Abstraction -! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(18175), C6H7(239); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C6H8R(287)<=>C6H7(239)+C6H9R(1802) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #6378; RMG #509806 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C12H15(18406), C12H16(18680); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C12H15(18406)<=>C6H8R(287)+C12H16(18680) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6379; RMG #640762 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C11H13(18468), C11H14(18772); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C11H13(18468)<=>C6H8R(287)+C11H14(18772) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6380; RMG #648986 -! Template reaction: R_Recombination -! Flux pairs: C6H8R(287), C6H9R(1802); H(82), C6H9R(1802); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C6H8R(287)<=>C6H9R(1802) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #6381; RMG #648991 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(65)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6382; RMG #648994 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(65)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #6383; RMG #648995 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(69)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6384; RMG #648998 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(69)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #6385; RMG #648999 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(66)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6386; RMG #649002 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(66)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6387; RMG #649003 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(68)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6388; RMG #649006 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(68)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6389; RMG #649007 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(72)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6390; RMG #649010 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(72)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #6391; RMG #649011 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C9H17LR(73)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6392; RMG #649014 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(73)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6393; RMG #649015 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C9H17LR(71)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6394; RMG #649018 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(71)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6395; RMG #649019 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C9H17LR(67)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6396; RMG #649022 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(67)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6397; RMG #649023 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C9H17LR(70)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6398; RMG #649026 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C9H17LR(70)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6399; RMG #649059 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C10H20R(64)<=>C6H9R(1802)+RC10(2) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6400; RMG #649062 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H20R(64)<=>C6H9R(1802)+RC10(2) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6401; RMG #649095 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C10H20L(76)<=>C6H9R(1802)+LC10(3) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6402; RMG #649098 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H20L(76)<=>C6H9R(1802)+LC10(3) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6403; RMG #649099 -! Template reaction: Disproportionation -! Flux pairs: C3H4R(78), C6H9R(1802); C6H10R(171), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C3H4R(78)+C6H10R(171)<=>C3H5R(12)+C6H9R(1802) 5.258140e+13 -0.550 0.505 - -! Reaction index: Chemkin #6404; RMG #649123 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C6H10R(171)<=>CC(C)L(13)+C6H9R(1802) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6405; RMG #649126 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)L(4)+C6H10R(90)<=>CC(C)L(13)+C6H9R(1802) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6406; RMG #649135 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CC(C)L(7)+C6H10R(171)<=>CCCC(C)L(16)+C6H9R(1802) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6407; RMG #649138 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H10R(90)<=>CCCC(C)L(16)+C6H9R(1802) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6408; RMG #649151 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(17); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H10R(171)<=>C6H9R(1802)+C6H11R(17) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #6409; RMG #649154 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(17); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(17) 1.225854e+27 -4.376 9.560 - -! Reaction index: Chemkin #6410; RMG #649177 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+C6H11R(17) 1.225854e+27 -4.376 8.674 - -! Reaction index: Chemkin #6411; RMG #649181 -! Template reaction: Disproportionation -! Flux pairs: C3H5(102), C6H9R(1802); C6H10R(171), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H5(102)+C6H10R(171)<=>C3H6(18)+C6H9R(1802) 1.566000e+12 0.000 0.301 - -! Reaction index: Chemkin #6412; RMG #649193 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H8R(287)<=>C3H6(18)+C6H9R(1802) 2.105300e+14 -0.550 0.461 - -! Reaction index: Chemkin #6413; RMG #649226 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)CR(6)+C6H10R(171)<=>CC(C)CR(20)+C6H9R(1802) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6414; RMG #649229 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)CR(6)+C6H10R(90)<=>CC(C)CR(20)+C6H9R(1802) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6415; RMG #649268 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(21); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C8H16L(15)<=>C6H9R(1802)+C8H15L(21) 1.225854e+27 -4.376 8.674 - -! Reaction index: Chemkin #6416; RMG #649272 -! Template reaction: Disproportionation -! Flux pairs: [CH2]R(14), CR(22); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]R(14)+C6H10R(171)<=>CR(22)+C6H9R(1802) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6417; RMG #649275 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]R(14)+C6H10R(90)<=>CR(22)+C6H9R(1802) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6418; RMG #649296 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C7H14R(9)<=>C6H9R(1802)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6419; RMG #649299 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H14R(9)<=>C6H9R(1802)+CC(C)CC(C)CR(23) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6420; RMG #649304 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H10R(171)<=>C5H9L(24)+C6H9R(1802) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #6421; RMG #649325 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(24)+C6H9R(1802) 1.225854e+27 -4.376 8.674 - -! Reaction index: Chemkin #6422; RMG #649341 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C6H12L(11)<=>C6H9R(1802)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6423; RMG #649344 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C6H12L(11)<=>C6H9R(1802)+CC(C)CC(C)L(25) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6424; RMG #649353 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]L(8)+C6H10R(171)<=>CCL(26)+C6H9R(1802) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6425; RMG #649356 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C6H10R(90)<=>CCL(26)+C6H9R(1802) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6426; RMG #649357 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CR(10), CCCR(27); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]CR(10)+C6H10R(171)<=>CCCR(27)+C6H9R(1802) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6427; RMG #649360 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C6H10R(90)<=>CCCR(27)+C6H9R(1802) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6428; RMG #649497 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6429; RMG #649500 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+CCCC(C)CR(32) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6430; RMG #649557 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H9L2(203)+C6H10R(171)<=>CC(L)CC(C)L(35)+C6H9R(1802) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6431; RMG #649560 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H9L2(203)+C6H10R(90)<=>CC(L)CC(C)L(35)+C6H9R(1802) 1.225854e+27 -4.376 6.578 - -! Reaction index: Chemkin #6432; RMG #649889 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C8H16L(15)<=>C6H9R(1802)+C8H17L(49) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6433; RMG #649892 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H16L(15)<=>C6H9R(1802)+C8H17L(49) 1.225854e+27 -4.376 6.150 - -! Reaction index: Chemkin #6434; RMG #649929 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 5.258140e+13 -0.550 0.671 -DUPLICATE - -! Reaction index: Chemkin #6435; RMG #649940 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(56); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C6H10R(171)<=>C6H9R(1802)+C6H11R(56) 1.566000e+12 0.000 0.294 - -! Reaction index: Chemkin #6436; RMG #649943 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 1.225854e+27 -4.376 8.605 -DUPLICATE - -! Reaction index: Chemkin #6437; RMG #649953 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6438; RMG #649962 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(77), C6H9R(1802); C6H10R(171), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C6H10R(171)<=>C5H9L(57)+C6H9R(1802) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #6439; RMG #649969 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C5H8L(89)+C6H10R(171)<=>C5H9L(57)+C6H9R(1802) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6440; RMG #649981 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(57)+C6H9R(1802) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6441; RMG #649990 -! Template reaction: Disproportionation -! Flux pairs: C3H4R(78), C6H9R(1802); C6H10R(171), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4R(78)+C6H10R(171)<=>C3H5R(58)+C6H9R(1802) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6442; RMG #650010 -! Template reaction: Disproportionation -! Flux pairs: C3H4L(147), C6H9R(1802); C6H10R(171), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C3H4L(147)+C6H10R(171)<=>C3H5L(59)+C6H9R(1802) 1.566000e+12 0.000 0.294 - -! Reaction index: Chemkin #6443; RMG #650018 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C6H8R(287)<=>C3H5L(59)+C6H9R(1802) 5.258140e+13 -0.550 0.368 - -! Reaction index: Chemkin #6444; RMG #650027 -! Template reaction: Disproportionation -! Flux pairs: C4H6R(224), C6H9R(1802); C6H10R(171), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C6H10R(171)<=>C4H7R(60)+C6H9R(1802) 1.566000e+12 0.000 0.294 - -! Reaction index: Chemkin #6445; RMG #650030 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(224)+C6H10R(90)<=>C4H7R(60)+C6H9R(1802) 2.451708e+27 -4.376 8.605 - -! Reaction index: Chemkin #6446; RMG #650031 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C4H6R(79)+C6H10R(171)<=>C4H7R(60)+C6H9R(1802) 5.258140e+13 -0.550 0.505 - -! Reaction index: Chemkin #6447; RMG #650039 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C6H8R(287)<=>C4H7R(60)+C6H9R(1802) 5.258140e+13 -0.550 0.368 - -! Reaction index: Chemkin #6448; RMG #650048 -! Template reaction: Disproportionation -! Flux pairs: C8H14L(112), C6H9R(1802); C6H10R(171), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C8H14L(112)<=>C6H9R(1802)+C8H15L(61) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #6449; RMG #650051 -! Template reaction: Disproportionation -! Flux pairs: C8H14L(112), C8H15L(61); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C8H14L(112)<=>C6H9R(1802)+C8H15L(61) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #6450; RMG #650081 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(61); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C8H16L(15)<=>C6H9R(1802)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6451; RMG #650094 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C7H12R(108)<=>C6H9R(1802)+C7H13R(62) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #6452; RMG #650114 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), C7H13R(62); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H8R(287)+C7H14R(9)<=>C6H9R(1802)+C7H13R(62) 5.258140e+13 -0.550 0.314 - -! Reaction index: Chemkin #6453; RMG #650127 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11L(63); C6H10L(103), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10L(103)+C6H10R(171)<=>C6H9R(1802)+C6H11L(63) 5.258140e+13 -0.550 0.551 - -! Reaction index: Chemkin #6454; RMG #650143 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), C6H11L(63); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H8R(287)+C6H12L(11)<=>C6H9R(1802)+C6H11L(63) 5.258140e+13 -0.550 0.314 - -! Reaction index: Chemkin #6455; RMG #650152 -! Template reaction: Disproportionation -! Flux pairs: CH3(74), C(75); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C -CH3(74)+C6H10R(171)<=>C(75)+C6H9R(1802) 3.543620e+12 -0.187 0.000 - -! Reaction index: Chemkin #6456; RMG #650155 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -CH3(74)+C6H10R(90)<=>C(75)+C6H9R(1802) 1.225854e+27 -4.376 4.826 - -! Reaction index: Chemkin #6457; RMG #650172 -! Template reaction: Disproportionation -! Flux pairs: C4H6R(79), C6H9R(1802); C6H10R(171), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6R(79)+C6H10R(171)<=>C4H7R(81)+C6H9R(1802) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6458; RMG #650189 -! Template reaction: Disproportionation -! Flux pairs: H(82), [H][H](83); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H -H(82)+C6H10R(171)<=>[H][H](83)+C6H9R(1802) 9.040000e+11 0.000 0.000 - -! Reaction index: Chemkin #6459; RMG #650192 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -H(82)+C6H10R(90)<=>[H][H](83)+C6H9R(1802) 1.225854e+27 -4.376 4.989 - -! Reaction index: Chemkin #6460; RMG #650193 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(77), C6H9R(1802); C6H10R(171), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(77)+C6H10R(171)<=>C5H9L(84)+C6H9R(1802) 5.258140e+13 -0.550 0.547 - -! Reaction index: Chemkin #6461; RMG #650218 -! Template reaction: Disproportionation -! Flux pairs: C3H4L(219), C6H9R(1802); C6H10R(171), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C3H4L(219)+C6H10R(171)<=>C3H5L(86)+C6H9R(1802) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6462; RMG #650221 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C3H4L(219)+C6H10R(90)<=>C3H5L(86)+C6H9R(1802) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #6463; RMG #650248 -! Template reaction: Disproportionation -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C7H15(85)<=>C6H9R(1802)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6464; RMG #650251 -! Template reaction: Disproportionation -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H15(85)<=>C6H9R(1802)+CC(C)CC(C)C(87) 1.225854e+27 -4.376 5.597 - -! Reaction index: Chemkin #6465; RMG #650304 -! Template reaction: Disproportionation -! Flux pairs: C[CH]C(94), CCC(95); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C[CH]C(94)+C6H10R(171)<=>CCC(95)+C6H9R(1802) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #6466; RMG #650307 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]C(94)+C6H10R(90)<=>CCC(95)+C6H9R(1802) 1.225854e+27 -4.376 6.128 - -! Reaction index: Chemkin #6467; RMG #650308 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]CC(195)+C6H10R(171)<=>CCC(95)+C6H9R(1802) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6468; RMG #650311 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]CC(195)+C6H10R(90)<=>CCC(95)+C6H9R(1802) 1.225854e+27 -4.376 5.501 - -! Reaction index: Chemkin #6469; RMG #650312 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C6H10R(171), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(98) 5.258140e+13 -0.550 0.547 - -! Reaction index: Chemkin #6470; RMG #650421 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H9R(1802); C6H10R(171), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H10L(169)<=>C6H9R(1802)+C6H11L(107) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #6471; RMG #650424 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(107); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C6H10L(169)<=>C6H9R(1802)+C6H11L(107) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #6472; RMG #650429 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11L(107); C6H10L(103), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10L(103)+C6H10R(171)<=>C6H9R(1802)+C6H11L(107) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6473; RMG #650450 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H10(110); C6H9(113), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H9(113)+C6H10R(171)<=>C6H9R(1802)+C6H10(110) 7.830000e+11 0.000 1.085 - -! Reaction index: Chemkin #6474; RMG #650593 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H10(116); C6H9(160), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H9(160)+C6H10R(171)<=>C6H9R(1802)+C6H10(116) 1.051628e+14 -0.550 0.781 - -! Reaction index: Chemkin #6475; RMG #650596 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H10(116); C6H9(160), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(160)+C6H10R(90)<=>C6H9R(1802)+C6H10(116) 2.451708e+27 -4.376 10.255 - -! Reaction index: Chemkin #6476; RMG #650597 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H10(116); C6H9(114), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H9(114)+C6H10R(171)<=>C6H9R(1802)+C6H10(116) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #6477; RMG #650648 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H9R(1802); C6H10R(171), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C6H10R(171)<=>C6H8(118)+C6H9R(1802) 1.051628e+14 -0.550 0.540 - -! Reaction index: Chemkin #6478; RMG #650651 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C6H10R(90)<=>C6H8(118)+C6H9R(1802) 2.451708e+27 -4.376 9.523 - -! Reaction index: Chemkin #6479; RMG #650685 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C6H9R(1802); C6H10R(171), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C7H12R(199)<=>C6H9R(1802)+C7H13R(120) 5.258140e+13 -0.550 0.671 - -! Reaction index: Chemkin #6480; RMG #650688 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(120); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H12R(199)<=>C6H9R(1802)+C7H13R(120) 1.225854e+27 -4.376 9.934 - -! Reaction index: Chemkin #6481; RMG #650697 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H10R(171)+C7H12R(108)<=>C6H9R(1802)+C7H13R(120) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6482; RMG #650714 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H9R(1802); C6H10R(171), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(123)+C6H10R(171)<=>C6H8(125)+C6H9R(1802) 1.051628e+14 -0.550 0.571 - -! Reaction index: Chemkin #6483; RMG #650717 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(123)+C6H10R(90)<=>C6H8(125)+C6H9R(1802) 2.451708e+27 -4.376 9.622 - -! Reaction index: Chemkin #6484; RMG #650796 -! Template reaction: Disproportionation -! Flux pairs: C4H7(156), C6H9R(1802); C6H10R(171), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C6H10R(171)<=>C4H8(157)+C6H9R(1802) 1.566000e+12 0.000 0.217 - -! Reaction index: Chemkin #6485; RMG #650804 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C6H8R(287)<=>C4H8(157)+C6H9R(1802) 5.258140e+13 -0.550 0.304 - -! Reaction index: Chemkin #6486; RMG #650857 -! Template reaction: Disproportionation -! Flux pairs: C5H7(174), C6H9R(1802); C6H10R(171), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(174)+C6H10R(171)<=>C5H8(173)+C6H9R(1802) 1.566000e+12 0.000 1.042 - -! Reaction index: Chemkin #6487; RMG #650900 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 2.0 -C5H7(178)+C6H10R(171)<=>C5H8(180)+C6H9R(1802) 1.051628e+14 -0.550 0.781 - -! Reaction index: Chemkin #6488; RMG #650912 -! Template reaction: Disproportionation -! Flux pairs: C5H5(189), C6H9R(1802); C6H10R(171), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -! Multiplied by reaction path degeneracy 5.0 -C5H5(189)+C6H10R(171)<=>C5H6(187)+C6H9R(1802) 2.629070e+14 -0.550 0.534 - -! Reaction index: Chemkin #6489; RMG #650915 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 15.0 -C5H5(189)+C6H10R(90)<=>C5H6(187)+C6H9R(1802) 6.129270e+27 -4.376 9.503 - -! Reaction index: Chemkin #6490; RMG #651087 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C6H8R(287)<=>C5H7L(262)+C6H9R(1802) 5.258140e+13 -0.550 1.386 - -! Reaction index: Chemkin #6491; RMG #651109 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(285); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C6H8R(287)+C6H10R(171)<=>C6H9R(1802)+C6H9R(285) 7.830000e+11 0.000 1.042 - -! Reaction index: Chemkin #6492; RMG #651180 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H9R(1802); C6H10R(171), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C6H10L(169)<=>C6H9R(1802)+C6H11L(325) 5.258140e+13 -0.550 0.687 - -! Reaction index: Chemkin #6493; RMG #651183 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(325); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C6H10L(169)<=>C6H9R(1802)+C6H11L(325) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #6494; RMG #651206 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C6H9R(1802); C6H10R(171), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C7H12R(199)<=>C6H9R(1802)+C7H13R(330) 5.258140e+13 -0.550 0.687 - -! Reaction index: Chemkin #6495; RMG #651209 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(330); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C7H12R(199)<=>C6H9R(1802)+C7H13R(330) 1.225854e+27 -4.376 9.983 - -! Reaction index: Chemkin #6496; RMG #651240 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)C(399)+C6H10R(171)<=>CC(C)C(29484)+C6H9R(1802) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6497; RMG #651243 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -[CH2]C(C)C(399)+C6H10R(90)<=>CC(C)C(29484)+C6H9R(1802) 1.225854e+27 -4.376 5.437 - -! Reaction index: Chemkin #6498; RMG #651273 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H8R(287)+C6H10R(171)<=>C6H9R(1802)+C6H9R(1802) 5.258140e+13 -0.550 1.386 - -! Reaction index: Chemkin #6499; RMG #652330 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C10H13(202)<=>C6H9R(1802)+C10H14(179) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6500; RMG #652333 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C10H13(202)<=>C6H9R(1802)+C10H14(179) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6501; RMG #652424 -! Template reaction: Disproportionation -! Flux pairs: C10H15(183), C10H14(184); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C10H15(183)<=>C6H9R(1802)+C10H14(184) 1.225854e+27 -4.376 11.547 - -! Reaction index: Chemkin #6502; RMG #652555 -! Template reaction: Disproportionation -! Flux pairs: C8H13(191), C8H12(194); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C8H13(191)<=>C6H9R(1802)+C8H12(194) 1.225854e+27 -4.376 8.888 - -! Reaction index: Chemkin #6503; RMG #652683 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H12(201); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H13(202)<=>C6H9R(1802)+C10H12(201) 1.350000e+03 2.700 0.150 - -! Reaction index: Chemkin #6504; RMG #652977 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C11H15(234)<=>C6H9R(1802)+C11H16(229) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #6505; RMG #652980 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H15(234)<=>C6H9R(1802)+C11H16(229) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #6506; RMG #653130 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(240); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C10H14R(316)<=>C6H9R(1802)+C10H13R(240) 1.225854e+27 -4.376 8.685 - -! Reaction index: Chemkin #6507; RMG #653215 -! Template reaction: Disproportionation -! Flux pairs: C12H15(283), C12H14(244); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H15(283)<=>C6H9R(1802)+C12H14(244) 1.225854e+27 -4.376 12.903 - -! Reaction index: Chemkin #6508; RMG #653295 -! Template reaction: Disproportionation -! Flux pairs: C11H15(18464), C11H14(246); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(18464)<=>C6H9R(1802)+C11H14(246) 1.225854e+27 -4.376 11.547 - -! Reaction index: Chemkin #6509; RMG #653535 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H14(257); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H15(18389)<=>C6H9R(1802)+C12H14(257) 1.225854e+27 -4.376 12.903 - -! Reaction index: Chemkin #6510; RMG #653887 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C12H15(323)<=>C6H9R(1802)+C12H16(269) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6511; RMG #653890 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(323)<=>C6H9R(1802)+C12H16(269) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6512; RMG #654083 -! Template reaction: Disproportionation -! Flux pairs: C11H15(256), C11H14(271); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(256)<=>C6H9R(1802)+C11H14(271) 1.225854e+27 -4.376 11.547 - -! Reaction index: Chemkin #6513; RMG #654145 -! Template reaction: Disproportionation -! Flux pairs: C9H13(260), C9H12(272); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H13(260)<=>C6H9R(1802)+C9H12(272) 1.225854e+27 -4.376 8.888 - -! Reaction index: Chemkin #6514; RMG #654363 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C11H13(298)<=>C6H9R(1802)+C11H14(276) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6515; RMG #654366 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H13(298)<=>C6H9R(1802)+C11H14(276) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6516; RMG #654447 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H14(277); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C12H15(22038)<=>C6H9R(1802)+C12H14(277) 1.350000e+03 2.700 0.141 - -! Reaction index: Chemkin #6517; RMG #654514 -! Template reaction: Disproportionation -! Flux pairs: C11H15(226), C11H14(278); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H15(226)<=>C6H9R(1802)+C11H14(278) 1.225854e+27 -4.376 12.903 - -! Reaction index: Chemkin #6518; RMG #656041 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H12(329); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C11H13(298)<=>C6H9R(1802)+C11H12(329) 1.350000e+03 2.700 0.150 - -! Reaction index: Chemkin #6519; RMG #656694 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H13(311)<=>C6H9R(1802)+C9H12(18323) 1.225854e+27 -4.376 8.888 - -! Reaction index: Chemkin #6520; RMG #657094 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C12H17(266)<=>C6H9R(1802)+C12H16(18380) 1.225854e+27 -4.376 11.760 - -! Reaction index: Chemkin #6521; RMG #657316 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H12R(18225)<=>C6H9R(1802)+C9H11R(18275) 1.225854e+27 -4.376 8.528 - -! Reaction index: Chemkin #6522; RMG #657435 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H14R(316)<=>C6H9R(1802)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6523; RMG #657518 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C12H15(18406)<=>C6H9R(1802)+C12H16(18680) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6524; RMG #657521 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(18406)<=>C6H9R(1802)+C12H16(18680) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6525; RMG #657981 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(238)<=>C6H9R(1802)+C11H16(11281) 1.225854e+27 -4.376 11.547 - -! Reaction index: Chemkin #6526; RMG #657986 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(181)<=>C6H9R(1802)+C11H16(11281) 1.225854e+27 -4.376 11.760 - -! Reaction index: Chemkin #6527; RMG #658124 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C9H12L(293)<=>C6H9R(1802)+C9H11L(18431) 1.225854e+27 -4.376 8.685 - -! Reaction index: Chemkin #6528; RMG #658404 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H8R(287)+C11H17(10750)<=>C6H9R(1802)+C11H16(11277) 1.225854e+27 -4.376 11.547 - -! Reaction index: Chemkin #6529; RMG #658608 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H8R(287)+C10H14R(18285)<=>C6H9R(1802)+C10H13R(18278) 2.451708e+27 -4.376 8.759 - -! Reaction index: Chemkin #6530; RMG #658624 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C11H13(18468)<=>C6H9R(1802)+C11H14(18772) 5.258140e+13 -0.550 0.808 - -! Reaction index: Chemkin #6531; RMG #658627 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C11H13(18468)<=>C6H9R(1802)+C11H14(18772) 1.225854e+27 -4.376 10.329 - -! Reaction index: Chemkin #6532; RMG #648951 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C11H15(18454), C11H15(35245); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R -C11H15(18454)<=>C11H15(35245) 1.053080e+11 0.266 11.337 - -! Reaction index: Chemkin #6533; RMG #18425 -! Library reaction: restart_edge -! Flux pairs: C[CH]L(8), C5H8LR(1393); C3H4R(78), C5H8LR(1393); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R -C[CH]L(8)+C3H4R(78)<=>C5H8LR(1393) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #6534; RMG #63701 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C5H9LR(138); C5H8LR(1393), C5H9LR(138); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C5H8LR(1393)<=>C5H9LR(138) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #6535; RMG #658701 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(65)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6536; RMG #658703 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(69)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6537; RMG #658705 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(66)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6538; RMG #658707 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(68)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6539; RMG #658709 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(72)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6540; RMG #658711 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(73)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6541; RMG #658713 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(71)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6542; RMG #658715 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(67)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6543; RMG #658717 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C9H17LR(70)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6544; RMG #658735 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C10H20R(64)<=>C5H8LR(1393)+RC10(2) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6545; RMG #658753 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C10H20L(76)<=>C5H8LR(1393)+LC10(3) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6546; RMG #658755 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C5H9LR(138)<=>C3H5R(12)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6547; RMG #658773 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C5H9LR(138)<=>CC(C)L(13)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6548; RMG #658779 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C[CH]CC(C)L(7)<=>C5H8LR(1393)+CCCC(C)L(16) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6549; RMG #658787 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(17); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10R(171)<=>C5H8LR(1393)+C6H11R(17) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6550; RMG #658807 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C5H9LR(138)<=>C3H6(18)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6551; RMG #658841 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C5H9LR(138)<=>CC(C)CR(20)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6552; RMG #658869 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C5H9LR(138)<=>CR(22)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6553; RMG #658881 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H14R(9)<=>C5H8LR(1393)+CC(C)CC(C)CR(23) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6554; RMG #658885 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H9L(24); C5H8L(89), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(24) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6555; RMG #658909 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H12L(11)<=>C5H8LR(1393)+CC(C)CC(C)L(25) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6556; RMG #658915 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C5H9LR(138)<=>CCL(26)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6557; RMG #658917 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C5H9LR(138)<=>CCCR(27)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6558; RMG #658987 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C[CH]CC(C)CR(5)<=>C5H8LR(1393)+CCCC(C)CR(32) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6559; RMG #659017 -! Template reaction: Disproportionation -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C5H9L2(203)<=>C5H8LR(1393)+CC(L)CC(C)L(35) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6560; RMG #659183 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H17L(49); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C8H16L(15)<=>C5H8LR(1393)+C8H17L(49) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6561; RMG #659215 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(56); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10R(90)<=>C5H8LR(1393)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6562; RMG #659221 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(56); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10R(171)<=>C5H8LR(1393)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6563; RMG #659237 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H9L(57); C5H8L(77), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(57) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6564; RMG #659241 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H9L(57); C5H8L(89), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(57) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6565; RMG #659257 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C5H9LR(138)<=>C3H5R(58)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6566; RMG #659273 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C5H9LR(138)<=>C3H5L(59)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6567; RMG #659287 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C5H9LR(138)<=>C4H7R(60)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6568; RMG #659289 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C5H9LR(138)<=>C4H7R(60)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6569; RMG #659303 -! Template reaction: Disproportionation -! Flux pairs: C8H14L(112), C8H15L(61); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C8H14L(112)<=>C5H8LR(1393)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6570; RMG #659331 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(62); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H12R(108)<=>C5H8LR(1393)+C7H13R(62) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6571; RMG #659353 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(103), C6H11L(63); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10L(103)<=>C5H8LR(1393)+C6H11L(63) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6572; RMG #659371 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C5H9LR(138)<=>C(75)+C5H8LR(1393) 1.150000e+13 -0.320 0.000 - -! Reaction index: Chemkin #6573; RMG #659373 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C5H9LR(138)<=>C4H7R(81)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6574; RMG #659387 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C5H9LR(138)<=>[H][H](83)+C5H8LR(1393) 1.191692e+10 0.568 0.000 - -! Reaction index: Chemkin #6575; RMG #659389 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H9L(84); C5H8L(77), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(84) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6576; RMG #659407 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C5H9LR(138)<=>C3H5L(86)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6577; RMG #659427 -! Template reaction: Disproportionation -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H15(85)<=>C5H8LR(1393)+CC(C)CC(C)C(87) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6578; RMG #659457 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C5H9LR(138)<=>CCC(95)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6579; RMG #659459 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C5H9LR(138)<=>CCC(95)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6580; RMG #659461 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(98); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10R(90)<=>C5H8LR(1393)+C6H11R(98) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6581; RMG #659541 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(107); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10L(169)<=>C5H8LR(1393)+C6H11L(107) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6582; RMG #659545 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(103), C6H11L(107); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10L(103)<=>C5H8LR(1393)+C6H11L(107) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6583; RMG #659561 -! Template reaction: Disproportionation -! Flux pairs: C6H9(113), C6H10(110); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H9(113)<=>C5H8LR(1393)+C6H10(110) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6584; RMG #659623 -! Template reaction: Disproportionation -! Flux pairs: C6H9(160), C6H10(116); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H9LR(138)+C6H9(160)<=>C5H8LR(1393)+C6H10(116) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6585; RMG #659625 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H10(116); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H9(114)<=>C5H8LR(1393)+C6H10(116) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6586; RMG #659641 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H8(118); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H9LR(138)+C6H7(123)<=>C5H8LR(1393)+C6H8(118) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6587; RMG #659643 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(118); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(118) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6588; RMG #659671 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(120); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H12R(199)<=>C5H8LR(1393)+C7H13R(120) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6589; RMG #659677 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(120); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H12R(108)<=>C5H8LR(1393)+C7H13R(120) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6590; RMG #659691 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H8(125); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H9LR(138)+C6H7(123)<=>C5H8LR(1393)+C6H8(125) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6591; RMG #659753 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C5H9LR(138)<=>C4H8(157)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6592; RMG #659799 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C5H9LR(138)<=>C5H8(173)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6593; RMG #659831 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C5H9LR(138)<=>C5H8(180)+C5H8LR(1393) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6594; RMG #659905 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(285); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H8R(287)<=>C5H8LR(1393)+C6H9R(285) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6595; RMG #659935 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(290); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(290) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6596; RMG #659963 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(325); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H10L(169)<=>C5H8LR(1393)+C6H11L(325) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6597; RMG #659981 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(330); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C7H12R(199)<=>C5H8LR(1393)+C7H13R(330) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6598; RMG #660003 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C5H9LR(138)<=>CC(C)C(29484)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6599; RMG #660005 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(18175) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6600; RMG #660028 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C6H8R(287)<=>C5H8LR(1393)+C6H9R(1802) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6601; RMG #661136 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C10H13(202)<=>C5H8LR(1393)+C10H14(179) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6602; RMG #661248 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C5H9LR(138)<=>C5H6(187)+C5H8LR(1393) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #6603; RMG #661672 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C11H15(234)<=>C5H8LR(1393)+C11H16(229) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6604; RMG #662393 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C12H15(323)<=>C5H8LR(1393)+C12H16(269) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6605; RMG #662741 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C11H13(298)<=>C5H8LR(1393)+C11H14(276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6606; RMG #665271 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C12H15(18406)<=>C5H8LR(1393)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6607; RMG #666089 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C11H13(18468)<=>C5H8LR(1393)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6608; RMG #648949 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C11H15(18454), C11H15(35243); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R_2R!H-inRing_Ext-4R!H-R -C11H15(18454)<=>C11H15(35243) 1.448900e+10 1.223 19.915 - -! Reaction index: Chemkin #6609; RMG #144013 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C12H18L(18253); C6H11L(63), C12H18L(18253); -! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H7(239)+C6H11L(63)<=>C12H18L(18253) 4.860000e+03 2.410 10.980 - -! Reaction index: Chemkin #6610; RMG #666245 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C10H14(18435), C12H18L(18253); C[CH]L(8), C12H18L(18253); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C10H14(18435)<=>C12H18L(18253) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #6611; RMG #36050 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5L(59), C10H17LR(3394); C7H12R(108), C10H17LR(3394); -! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5L(59)+C7H12R(108)<=>C10H17LR(3394) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #6612; RMG #23297 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(65), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(65)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6613; RMG #23301 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(69), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(69)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6614; RMG #23305 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(66), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(66)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6615; RMG #23309 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(68), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(68)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6616; RMG #23313 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(72), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(72)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6617; RMG #23317 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(73), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(73)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6618; RMG #23321 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(71), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(71)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6619; RMG #23325 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(67), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(67)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6620; RMG #23329 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(70), RC10L(1); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H17LR(70)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6621; RMG #23365 -! Library reaction: restart_edge -! Flux pairs: C10H20R(64), RC10(2); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H20R(64)<=>C4H5L(91)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6622; RMG #23401 -! Library reaction: restart_edge -! Flux pairs: C10H20L(76), LC10(3); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H20L(76)<=>C4H5L(91)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6623; RMG #23465 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C4H6L(1895)<=>C3H5R(12)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6624; RMG #23489 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C4H6L(1895)<=>CC(C)L(13)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6625; RMG #23509 -! Library reaction: restart_edge -! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H5L(91)+CCCC(C)L(16) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6626; RMG #23525 -! Library reaction: restart_edge -! Flux pairs: C6H10R(171), C6H11R(17); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10R(171)<=>C4H5L(91)+C6H11R(17) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6627; RMG #23553 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C4H6L(1895)<=>C3H6(18)+C4H5L(91) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6628; RMG #23597 -! Library reaction: restart_edge -! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+[CH2]C(C)CR(6)<=>C4H5L(91)+CC(C)CR(20) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6629; RMG #23641 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C4H6L(1895)<=>CR(22)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6630; RMG #23665 -! Library reaction: restart_edge -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H14R(9)<=>C4H5L(91)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6631; RMG #23673 -! Library reaction: restart_edge -! Flux pairs: C5H8L(89), C5H9L(24); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H8L(89)<=>C4H5L(91)+C5H9L(24) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6632; RMG #23709 -! Library reaction: restart_edge -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H12L(11)<=>C4H5L(91)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6633; RMG #23721 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C4H6L(1895)<=>CCL(26)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6634; RMG #23725 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C4H6L(1895)<=>CCCR(27)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6635; RMG #23865 -! Library reaction: restart_edge -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H5L(91)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6636; RMG #23925 -! Library reaction: restart_edge -! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H9L2(203)<=>C4H5L(91)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6637; RMG #24257 -! Library reaction: restart_edge -! Flux pairs: C8H16L(15), C8H17L(49); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C8H16L(15)<=>C4H5L(91)+C8H17L(49) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6638; RMG #24405 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(56); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10R(90)<=>C4H5L(91)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6639; RMG #24417 -! Library reaction: restart_edge -! Flux pairs: C6H10R(171), C6H11R(56); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10R(171)<=>C4H5L(91)+C6H11R(56) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6640; RMG #24437 -! Library reaction: restart_edge -! Flux pairs: C5H8L(77), C5H9L(57); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H8L(77)<=>C4H5L(91)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6641; RMG #24445 -! Library reaction: restart_edge -! Flux pairs: C5H8L(89), C5H9L(57); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H8L(89)<=>C4H5L(91)+C5H9L(57) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6642; RMG #24465 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C4H6L(1895)<=>C3H5R(58)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6643; RMG #24485 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C4H6L(1895)<=>C3H5L(59)+C4H5L(91) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6644; RMG #24501 -! Library reaction: restart_edge -! Flux pairs: C4H6R(224), C4H7R(60); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C4H6R(224)<=>C4H5L(91)+C4H7R(60) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6645; RMG #24505 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H7R(60); C4H6R(79), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C4H6L(1895)<=>C4H5L(91)+C4H7R(60) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6646; RMG #24521 -! Library reaction: restart_edge -! Flux pairs: C8H14L(112), C8H15L(61); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C8H14L(112)<=>C4H5L(91)+C8H15L(61) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6647; RMG #24565 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(62); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H12R(108)<=>C4H5L(91)+C7H13R(62) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6648; RMG #24597 -! Library reaction: restart_edge -! Flux pairs: C6H10L(103), C6H11L(63); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10L(103)<=>C4H5L(91)+C6H11L(63) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6649; RMG #24691 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C4H6L(1895)<=>C(75)+C4H5L(91) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #6650; RMG #24694 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C4H6L(1895)<=>C(75)+C4H5L(91) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #6651; RMG #24744 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H7R(81); C4H6R(79), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C4H6L(1895)<=>C4H5L(91)+C4H7R(81) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6652; RMG #24760 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C4H6L(1895)<=>[H][H](83)+C4H5L(91) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #6653; RMG #24764 -! Library reaction: restart_edge -! Flux pairs: C5H8L(77), C5H9L(84); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H8L(77)<=>C4H5L(91)+C5H9L(84) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6654; RMG #24796 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C4H6L(1895)<=>C3H5L(86)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6655; RMG #24824 -! Library reaction: restart_edge -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H15(85)<=>C4H5L(91)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6656; RMG #25263 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C4H6L(1895); C4H5L(91), C4H6L(1895); -! From training reaction 2557 used for Cds-CsH_Cds-CdH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CdH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C4H5L(91)<=>C4H6L(1895) 1.350000e+08 1.640 0.380 - -! Reaction index: Chemkin #6657; RMG #25741 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C4H6L(1895)<=>CCC(95)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6658; RMG #25742 -! Library reaction: restart_edge -! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C4H6L(1895)<=>CCC(95)+C4H5L(91) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6659; RMG #28023 -! Library reaction: restart_edge -! Flux pairs: C6H10R(90), C6H11R(98); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10R(90)<=>C4H5L(91)+C6H11R(98) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6660; RMG #35422 -! Library reaction: restart_edge -! Flux pairs: C6H10L(169), C6H11L(107); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10L(169)<=>C4H5L(91)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6661; RMG #35424 -! Library reaction: restart_edge -! Flux pairs: C6H10L(103), C6H11L(107); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10L(103)<=>C4H5L(91)+C6H11L(107) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6662; RMG #38043 -! Library reaction: restart_edge -! Flux pairs: C6H9(113), C6H10(110); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H9(113)<=>C4H5L(91)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6663; RMG #46950 -! Library reaction: restart_edge -! Flux pairs: C6H9(160), C6H10(116); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C6H9(160)<=>C4H5L(91)+C6H10(116) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6664; RMG #46951 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H10(116); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H9(114)<=>C4H5L(91)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6665; RMG #50106 -! Library reaction: restart_edge -! Flux pairs: C6H7(123), C6H8(118); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C6H7(123)<=>C4H5L(91)+C6H8(118) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6666; RMG #50107 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(118); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6667; RMG #52175 -! Library reaction: restart_edge -! Flux pairs: C7H12R(199), C7H13R(120); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H12R(199)<=>C4H5L(91)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6668; RMG #52178 -! Library reaction: restart_edge -! Flux pairs: C7H12R(108), C7H13R(120); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H12R(108)<=>C4H5L(91)+C7H13R(120) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6669; RMG #54784 -! Library reaction: restart_edge -! Flux pairs: C6H7(123), C6H8(125); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C6H7(123)<=>C4H5L(91)+C6H8(125) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6670; RMG #69578 -! Library reaction: restart_edge -! Flux pairs: C4H7(156), C4H8(157); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C4H7(156)<=>C4H5L(91)+C4H8(157) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6671; RMG #80130 -! Library reaction: restart_edge -! Flux pairs: C5H7(174), C5H8(173); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C5H7(174)<=>C4H5L(91)+C5H8(173) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6672; RMG #86074 -! Library reaction: restart_edge -! Flux pairs: C10H13(202), C10H14(179); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H13(202)<=>C4H5L(91)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6673; RMG #88420 -! Library reaction: restart_edge -! Flux pairs: C5H7(178), C5H8(180); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C5H7(178)<=>C4H5L(91)+C5H8(180) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6674; RMG #93171 -! Library reaction: restart_edge -! Flux pairs: C5H5(189), C5H6(187); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C4H6L(1895)+C5H5(189)<=>C4H5L(91)+C5H6(187) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #6675; RMG #137266 -! Library reaction: restart_edge -! Flux pairs: C11H15(234), C11H16(229); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C11H15(234)<=>C4H5L(91)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6676; RMG #205637 -! Library reaction: restart_edge -! Flux pairs: C12H15(323), C12H16(269); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C12H15(323)<=>C4H5L(91)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6677; RMG #233270 -! Library reaction: restart_edge -! Flux pairs: C11H13(298), C11H14(276); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C11H13(298)<=>C4H5L(91)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6678; RMG #267257 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(285); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H8R(287)<=>C4H5L(91)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6679; RMG #277961 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C6H8(290); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6680; RMG #347015 -! Library reaction: restart_edge -! Flux pairs: C6H10L(169), C6H11L(325); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10L(169)<=>C4H5L(91)+C6H11L(325) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6681; RMG #369403 -! Library reaction: restart_edge -! Flux pairs: C7H12R(199), C7H13R(330); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C7H12R(199)<=>C4H5L(91)+C7H13R(330) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6682; RMG #408174 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+[CH2]C(C)C(399)<=>C4H5L(91)+CC(C)C(29484) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6683; RMG #466128 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H8(18175); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(18175) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6684; RMG #508450 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C12H15(18406)<=>C4H5L(91)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6685; RMG #632379 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C11H13(18468)<=>C4H5L(91)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6686; RMG #650300 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(287), C6H9R(1802); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H8R(287)<=>C4H5L(91)+C6H9R(1802) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6687; RMG #667615 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C4H6L(1895), C7H11L2(36342); C3H5L(59), C7H11L2(36342); -! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5L(59)+C4H6L(1895)<=>C7H11L2(36342) 2.790000e+04 2.410 11.220 - -! Reaction index: Chemkin #6688; RMG #669245 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(18406), C12H16(18680); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C12H15(18406)<=>C5H9L2(203)+C12H16(18680) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #6689; RMG #667195 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(65); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(65) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #6690; RMG #667196 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(69); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(69) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #6691; RMG #667197 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(66), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(66)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6692; RMG #667198 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(68), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(68)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6693; RMG #667199 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(72); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(72) 1.690000e-02 4.340 16.600 - -! Reaction index: Chemkin #6694; RMG #667200 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(73), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(73)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6695; RMG #667201 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(71), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(71)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6696; RMG #667202 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(67), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(67)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6697; RMG #667203 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(70), RC10L(1); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C9H17LR(70)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6698; RMG #667221 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C10H20R(64), RC10(2); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C10H20R(64)<=>C4H6L(1895)+RC10(2) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6699; RMG #667239 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C10H20L(76), LC10(3); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C10H20L(76)<=>C4H6L(1895)+LC10(3) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6700; RMG #667245 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C4H6L(1895)<=>C3H4R(78)+C4H7L(36302) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6701; RMG #667253 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C4H7L(36302)<=>CC(C)L(13)+C4H6L(1895) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6702; RMG #667261 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C[CH]CC(C)L(7)<=>C4H6L(1895)+CCCC(C)L(16) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6703; RMG #667273 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(17), C6H10R(171); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H11R(17)<=>C4H7L(36302)+C6H10R(171) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6704; RMG #667285 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C3H6(18), C3H5(102); -! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C4H6L(1895)<=>C3H5(102)+C4H7L(36302) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6705; RMG #667303 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+[CH2]C(C)CR(6)<=>C4H6L(1895)+CC(C)CR(20) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6706; RMG #667325 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]R(14), CR(22); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]R(14)+C4H7L(36302)<=>CR(22)+C4H6L(1895) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6707; RMG #667337 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C7H14R(9)<=>C4H6L(1895)+CC(C)CC(C)CR(23) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6708; RMG #667346 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C5H9L(24)<=>C4H7L(36302)+C5H8L(89) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6709; RMG #667360 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C6H12L(11)<=>C4H6L(1895)+CC(C)CC(C)L(25) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6710; RMG #667365 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]L(8), CCL(26); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]L(8)+C4H7L(36302)<=>CCL(26)+C4H6L(1895) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6711; RMG #667369 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CR(10), CCCR(27); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C[CH]CR(10)+C4H7L(36302)<=>CCCR(27)+C4H6L(1895) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6712; RMG #667420 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C[CH]CC(C)CR(5)<=>C4H6L(1895)+CCCC(C)CR(32) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6713; RMG #667448 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+CC(L)CC(C)L(35)<=>C4H7L(36302)+C5H9L2(203) 3.380000e-02 4.340 16.600 - -! Reaction index: Chemkin #6714; RMG #667552 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C8H16L(15), C8H17L(49); -! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C8H16L(15)<=>C4H6L(1895)+C8H17L(49) 9.781927e-04 4.260 6.640 - -! Reaction index: Chemkin #6715; RMG #667576 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(56), C6H10R(90); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C6H11R(56)<=>C4H7L(36302)+C6H10R(90) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6716; RMG #667579 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C6H10R(171), C6H11R(56); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C6H10R(171)<=>C4H6L(1895)+C6H11R(56) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6717; RMG #667591 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(57), C5H8L(77); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C5H9L(57)<=>C4H7L(36302)+C5H8L(77) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6718; RMG #667593 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C5H8L(89), C5H9L(57); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C5H8L(89)<=>C4H6L(1895)+C5H9L(57) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6719; RMG #667603 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4R(78), C3H5R(58); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4R(78)+C4H7L(36302)<=>C3H5R(58)+C4H6L(1895) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6720; RMG #667612 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4L(147), C3H5L(59); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C3H4L(147)+C4H7L(36302)<=>C3H5L(59)+C4H6L(1895) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #6721; RMG #667621 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C4H6R(224), C4H7R(60); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H6R(224)+C4H7L(36302)<=>C4H6L(1895)+C4H7R(60) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #6722; RMG #667622 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C4H7R(60)<=>C4H6R(79)+C4H7L(36302) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6723; RMG #667636 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C8H15L(61), C8H14L(112); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C8H15L(61)<=>C4H7L(36302)+C8H14L(112) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6724; RMG #667655 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C7H13R(62)<=>C4H7L(36302)+C7H12R(108) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6725; RMG #667670 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H11L(63)<=>C4H7L(36302)+C6H10L(103) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6726; RMG #667677 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); CH3(74), C(75); -! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -CH3(74)+C4H7L(36302)<=>C(75)+C4H6L(1895) 7.200000e-02 4.250 7.530 - -! Reaction index: Chemkin #6727; RMG #667682 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C4H6R(79), C4H7R(81); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6R(79)+C4H7L(36302)<=>C4H6L(1895)+C4H7R(81) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6728; RMG #667687 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); H(82), [H][H](83); -! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad -! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -H(82)+C4H7L(36302)<=>[H][H](83)+C4H6L(1895) 3.360000e+03 3.140 4.290 - -! Reaction index: Chemkin #6729; RMG #667694 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C5H9L(84)<=>C4H7L(36302)+C5H8L(77) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6730; RMG #667705 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4L(219), C3H5L(86); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H4L(219)+C4H7L(36302)<=>C3H5L(86)+C4H6L(1895) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6731; RMG #667715 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C7H15(85), CC(C)CC(C)C(87); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C7H15(85)<=>C4H6L(1895)+CC(C)CC(C)C(87) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6732; RMG #667734 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); CCC(95), C[CH]C(94); -! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C4H6L(1895)<=>C[CH]C(94)+C4H7L(36302) 2.920000e-02 4.340 16.600 - -! Reaction index: Chemkin #6733; RMG #667735 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]CC(195), CCC(95); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -[CH2]CC(195)+C4H7L(36302)<=>CCC(95)+C4H6L(1895) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6734; RMG #667743 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H11R(98)<=>C4H7L(36302)+C6H10R(90) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6735; RMG #667792 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(107), C6H10L(169); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C6H11L(107)<=>C4H7L(36302)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6736; RMG #667794 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C6H10L(103), C6H11L(107); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C6H10L(103)<=>C4H6L(1895)+C6H11L(107) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6737; RMG #667808 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(110), C6H9(113); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6L(1895)+C6H10(110)<=>C4H7L(36302)+C6H9(113) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6738; RMG #667872 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H10(116)<=>C4H7L(36302)+C6H9(160) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6739; RMG #667873 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H10(116)<=>C4H7L(36302)+C6H9(114) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6740; RMG #667901 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(118), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H8(118)<=>C4H7L(36302)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #6741; RMG #667902 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6L(1895)+C6H8(118)<=>C4H7L(36302)+C6H7(239) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6742; RMG #667917 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(120), C7H12R(199); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C7H13R(120)<=>C4H7L(36302)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6743; RMG #667920 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C7H12R(108), C7H13R(120); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+C7H12R(108)<=>C4H6L(1895)+C7H13R(120) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6744; RMG #667933 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(125), C6H7(123); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H8(125)<=>C4H7L(36302)+C6H7(123) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #6745; RMG #667966 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); C4H7(156), C4H8(157); -! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.4142135623730951 -! Multiplied by reaction path degeneracy 6.0 -! family: H_Abstraction -C4H7L(36302)+C4H7(156)<=>C4H6L(1895)+C4H8(157) 8.700000e-03 4.340 13.600 - -! Reaction index: Chemkin #6746; RMG #667999 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6L(1895)+C5H8(173)<=>C4H7L(36302)+C5H7(174) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6747; RMG #668013 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6L(1895)+C5H8(180)<=>C4H7L(36302)+C5H7(178) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #6748; RMG #668021 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C5H6(187), C5H5(189); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C5H6(187)<=>C4H7L(36302)+C5H5(189) 3.860000e-03 4.340 6.700 - -! Reaction index: Chemkin #6749; RMG #668114 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H6L(1895)+C6H9R(285)<=>C4H7L(36302)+C6H8R(287) 4.350000e-03 4.340 13.600 - -! Reaction index: Chemkin #6750; RMG #668132 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(290), C6H7(239); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H8(290)<=>C4H7L(36302)+C6H7(239) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6751; RMG #668146 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(325), C6H10L(169); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C6H11L(325)<=>C4H7L(36302)+C6H10L(169) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6752; RMG #668159 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(330), C7H12R(199); -! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! family: H_Abstraction -C4H6L(1895)+C7H13R(330)<=>C4H7L(36302)+C7H12R(199) 2.780000e-03 4.340 8.900 - -! Reaction index: Chemkin #6753; RMG #668169 -! Template reaction: H_Abstraction -! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C4H7L(36302)+[CH2]C(C)C(399)<=>C4H6L(1895)+CC(C)C(29484) 1.344361e-04 4.649 4.527 - -! Reaction index: Chemkin #6754; RMG #668176 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(18175), C6H7(239); -! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2 -! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6L(1895)+C6H8(18175)<=>C4H7L(36302)+C6H7(239) 7.720000e-03 4.340 6.700 - -! Reaction index: Chemkin #6755; RMG #668192 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C6H9R(1802), C6H8R(287); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C6H9R(1802)<=>C4H7L(36302)+C6H8R(287) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6756; RMG #668500 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C10H14(179), C10H13(202); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C10H14(179)<=>C4H7L(36302)+C10H13(202) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6757; RMG #668662 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C11H16(229), C11H15(234); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C11H16(229)<=>C4H7L(36302)+C11H15(234) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6758; RMG #668686 -! Template reaction: Disproportionation -! Flux pairs: C6H7(239), C6H6(252); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H7(239)<=>C4H7L(36302)+C6H6(252) 1.350000e+03 2.700 0.044 - -! Reaction index: Chemkin #6759; RMG #668944 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C12H16(18680), C12H15(18406); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C12H16(18680)<=>C4H7L(36302)+C12H15(18406) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6760; RMG #669062 -! Template reaction: H_Abstraction -! Flux pairs: C4H6L(1895), C4H7L(36302); C11H14(18772), C11H13(18468); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C11H14(18772)<=>C4H7L(36302)+C11H13(18468) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6761; RMG #670191 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(118); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(118) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6762; RMG #670199 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(125); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(125) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6763; RMG #670200 -! Template reaction: Disproportionation -! Flux pairs: C6H9(114), C6H8(290); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(290) 1.225854e+27 -4.376 9.481 - -! Reaction index: Chemkin #6764; RMG #677719 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H5L(91); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C4H6L(1895)<=>C4H5L(91)+C4H7L(36302) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6765; RMG #677726 -! Template reaction: R_Recombination -! Flux pairs: C4H6L(1895), C4H7L(36302); H(82), C4H7L(36302); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N- -! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing -H(82)+C4H6L(1895)<=>C4H7L(36302) 1.625980e+13 0.255 0.000 - -! Reaction index: Chemkin #6766; RMG #677834 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C4H6L(1895)<=>C3H5R(12)+C4H7L(36302) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #6767; RMG #677878 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H7L(36302)+C6H11R(17) 1.225854e+27 -4.376 6.090 - -! Reaction index: Chemkin #6768; RMG #677888 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C4H6L(1895)<=>C3H6(18)+C4H7L(36302) 3.941700e+12 -0.039 0.000 - -! Reaction index: Chemkin #6769; RMG #677892 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C4H6L(1895)<=>C3H6(18)+C4H7L(36302) 2.451708e+27 -4.376 6.166 - -! Reaction index: Chemkin #6770; RMG #677900 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C4H6L(1895)<=>C2H3L(19)+C4H7L(36302) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #6771; RMG #677934 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(21); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C8H16L(15)<=>C4H7L(36302)+C8H15L(21) 1.225854e+27 -4.376 6.090 - -! Reaction index: Chemkin #6772; RMG #677966 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H7L(36302)+C5H9L(24) 1.225854e+27 -4.376 6.090 - -! Reaction index: Chemkin #6773; RMG #678336 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H7L(36302)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6774; RMG #678354 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H7L(36302)+C5H9L(57) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6775; RMG #678372 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C4H6L(1895)<=>C3H5R(58)+C4H7L(36302) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6776; RMG #678380 -! Template reaction: Disproportionation -! Flux pairs: C4H6L(1895), C4H7L(36302); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -[CH2]C(C)L(4)+C4H6L(1895)<=>C3H5L(59)+C4H7L(36302) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6777; RMG #678394 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)CR(6), C4H7L(36302); C4H6L(1895), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7L(36302) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6778; RMG #678418 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H15L(61); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C8H16L(15)<=>C4H7L(36302)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6779; RMG #678438 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), C7H13R(62); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+C7H14R(9)<=>C4H7L(36302)+C7H13R(62) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6780; RMG #678456 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), C6H11L(63); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+C6H12L(11)<=>C4H7L(36302)+C6H11L(63) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6781; RMG #679089 -! Template reaction: Disproportionation -! Flux pairs: C6H9(160), C6H8(125); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C6H9(160)<=>C4H7L(36302)+C6H8(125) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #6782; RMG #679325 -! Template reaction: Disproportionation -! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+[CH2]C(C)C(399)<=>C4H7L(36302)+C4H8(157) 7.830000e+11 0.000 0.000 - -! Reaction index: Chemkin #6783; RMG #679564 -! Template reaction: Disproportionation -! Flux pairs: C10H15(183), C10H14(184); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C10H15(183)<=>C4H7L(36302)+C10H14(184) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #6784; RMG #679592 -! Template reaction: Disproportionation -! Flux pairs: C5H7(178), C5H6(187); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C4H6L(1895)+C5H7(178)<=>C4H7L(36302)+C5H6(187) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #6785; RMG #679661 -! Template reaction: Disproportionation -! Flux pairs: C8H13(191), C8H12(194); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C8H13(191)<=>C4H7L(36302)+C8H12(194) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #6786; RMG #679746 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H12(201); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H13(202)<=>C4H7L(36302)+C10H12(201) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6787; RMG #680187 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(240); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C10H14R(316)<=>C4H7L(36302)+C10H13R(240) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #6788; RMG #680243 -! Template reaction: Disproportionation -! Flux pairs: C12H15(283), C12H14(244); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C12H15(283)<=>C4H7L(36302)+C12H14(244) 1.225854e+27 -4.376 9.551 - -! Reaction index: Chemkin #6789; RMG #680295 -! Template reaction: Disproportionation -! Flux pairs: C11H15(18464), C11H14(246); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H15(18464)<=>C4H7L(36302)+C11H14(246) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #6790; RMG #680380 -! Template reaction: Disproportionation -! Flux pairs: C6H7(123), C6H6(252); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C6H7(123)<=>C4H7L(36302)+C6H6(252) 1.225854e+27 -4.376 9.625 - -! Reaction index: Chemkin #6791; RMG #680502 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18389), C12H14(257); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C12H15(18389)<=>C4H7L(36302)+C12H14(257) 1.225854e+27 -4.376 9.551 - -! Reaction index: Chemkin #6792; RMG #680566 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(89), C5H7L(262); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+C5H8L(89)<=>C4H7L(36302)+C5H7L(262) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6793; RMG #680578 -! Template reaction: Disproportionation -! Flux pairs: C5H8L(77), C5H7L(262); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C5H8L(77)<=>C4H7L(36302)+C5H7L(262) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #6794; RMG #680878 -! Template reaction: Disproportionation -! Flux pairs: C11H15(256), C11H14(271); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H15(256)<=>C4H7L(36302)+C11H14(271) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #6795; RMG #680918 -! Template reaction: Disproportionation -! Flux pairs: C9H13(260), C9H12(272); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C9H13(260)<=>C4H7L(36302)+C9H12(272) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #6796; RMG #681108 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H14(277); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C12H15(22038)<=>C4H7L(36302)+C12H14(277) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6797; RMG #681152 -! Template reaction: Disproportionation -! Flux pairs: C11H15(226), C11H14(278); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H15(226)<=>C4H7L(36302)+C11H14(278) 1.225854e+27 -4.376 9.551 - -! Reaction index: Chemkin #6798; RMG #681306 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(285); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H10R(90)<=>C4H7L(36302)+C6H9R(285) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6799; RMG #682217 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H12(329); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C11H13(298)<=>C4H7L(36302)+C11H12(329) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #6800; RMG #682676 -! Template reaction: Disproportionation -! Flux pairs: C9H13(311), C9H12(18323); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C9H13(311)<=>C4H7L(36302)+C9H12(18323) 1.225854e+27 -4.376 6.263 - -! Reaction index: Chemkin #6801; RMG #682936 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18380); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C12H17(266)<=>C4H7L(36302)+C12H16(18380) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #6802; RMG #683098 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C9H12R(18225)<=>C4H7L(36302)+C9H11R(18275) 1.225854e+27 -4.376 5.973 - -! Reaction index: Chemkin #6803; RMG #683174 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(316), C10H13R(18283); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H14R(316)<=>C4H7L(36302)+C10H13R(18283) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6804; RMG #683534 -! Template reaction: Disproportionation -! Flux pairs: C11H17(238), C11H16(11281); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H17(238)<=>C4H7L(36302)+C11H16(11281) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #6805; RMG #683538 -! Template reaction: Disproportionation -! Flux pairs: C11H17(181), C11H16(11281); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H17(181)<=>C4H7L(36302)+C11H16(11281) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #6806; RMG #683628 -! Template reaction: Disproportionation -! Flux pairs: C9H12L(293), C9H11L(18431); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C9H12L(293)<=>C4H7L(36302)+C9H11L(18431) 1.225854e+27 -4.376 6.099 - -! Reaction index: Chemkin #6807; RMG #683833 -! Template reaction: Disproportionation -! Flux pairs: C11H17(10750), C11H16(11277); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C11H17(10750)<=>C4H7L(36302)+C11H16(11277) 1.225854e+27 -4.376 8.429 - -! Reaction index: Chemkin #6808; RMG #683965 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6L(1895)+C10H14R(18285)<=>C4H7L(36302)+C10H13R(18278) 2.451708e+27 -4.376 6.159 - -! Reaction index: Chemkin #6809; RMG #684035 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H9R(1802); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R -C4H6L(1895)+C6H10R(171)<=>C4H7L(36302)+C6H9R(1802) 7.830000e+11 0.000 0.294 - -! Reaction index: Chemkin #6810; RMG #684047 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H9R(1802); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C4H6L(1895)+C6H10R(90)<=>C4H7L(36302)+C6H9R(1802) 1.225854e+27 -4.376 8.605 - -! Reaction index: Chemkin #6811; RMG #684065 -! Template reaction: Disproportionation -! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C5H9LR(138)<=>C4H7L(36302)+C5H8LR(1393) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6812; RMG #143995 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C6H7(239), C13H20R(18248); C7H13R(62), C13H20R(18248); -! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C6H7(239)+C7H13R(62)<=>C13H20R(18248) 4.860000e+03 2.410 10.980 - -! Reaction index: Chemkin #6813; RMG #684106 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C10H14(18435), C13H20R(18248); C[CH]CR(10), C13H20R(18248); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C10H14(18435)<=>C13H20R(18248) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #6814; RMG #144077 -! Library reaction: restart_edge -! Flux pairs: C4H6R(79), C10H13R(18281); C6H7(239), C10H13R(18281); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -C4H6R(79)+C6H7(239)<=>C10H13R(18281) 3.481290e+13 -0.158 0.000 - -! Reaction index: Chemkin #6815; RMG #157429 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C10H14R(247); C10H13R(18281), C10H14R(247); -! From training reaction 2933 used for Cds-CsH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C10H13R(18281)<=>C10H14R(247) 3.066000e+11 0.481 7.426 - -! Reaction index: Chemkin #6816; RMG #684198 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(65)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6817; RMG #684204 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(69)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6818; RMG #684210 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(66)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6819; RMG #684216 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(68)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6820; RMG #684222 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(72)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6821; RMG #684228 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(73)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6822; RMG #684234 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(71)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6823; RMG #684240 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(67)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6824; RMG #684246 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H17LR(70)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6825; RMG #684300 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C10H20R(64)<=>C10H13R(18281)+RC10(2) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6826; RMG #684354 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C10H20L(76)<=>C10H13R(18281)+LC10(3) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6827; RMG #684360 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H14R(247)<=>C3H5R(12)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6828; RMG #684400 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C10H14R(247)<=>CC(C)L(13)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6829; RMG #684412 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H14R(247)<=>C6H11R(17)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6830; RMG #684458 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C10H14R(247)<=>C3H6(18)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6831; RMG #684532 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C10H14R(247)<=>CC(C)CR(20)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6832; RMG #684538 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C10H14R(247)<=>CR(22)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6833; RMG #684550 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H14R(247)<=>C5H9L(24)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6834; RMG #684608 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C10H14R(247)<=>CC(C)CC(C)L(25)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6835; RMG #684626 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C10H14R(247)<=>CCL(26)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6836; RMG #684632 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H14R(247)<=>CCCR(27)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6837; RMG #684650 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H14R(247)<=>C6H11R(56)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6838; RMG #684668 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C10H14R(247)<=>C6H11R(56)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6839; RMG #684702 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H14R(247)<=>C5H9L(57)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6840; RMG #684714 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C10H14R(247)<=>C5H9L(57)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6841; RMG #684748 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C10H14R(247)<=>C3H5R(58)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6842; RMG #684782 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C10H14R(247)<=>C3H5L(59)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6843; RMG #684810 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C10H14R(247)<=>C4H7R(60)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6844; RMG #684816 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H14R(247)<=>C4H7R(60)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6845; RMG #684844 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C10H14R(247)<=>C8H15L(61)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6846; RMG #684914 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H14R(247)<=>C7H13R(62)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6847; RMG #684966 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H14R(247)<=>C6H11L(63)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6848; RMG #685006 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C10H14R(247)<=>C(75)+C10H13R(18281) 1.150000e+13 -0.320 0.000 - -! Reaction index: Chemkin #6849; RMG #685052 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H14R(247)<=>CCCC(C)L(16)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6850; RMG #685164 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C10H14R(247)<=>CC(C)CC(C)CR(23)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6851; RMG #685302 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H14R(247)<=>CCCC(C)CR(32)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6852; RMG #685392 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C10H14R(247)<=>CC(L)CC(C)L(35)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6853; RMG #685890 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H14R(247)<=>C8H17L(49)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6854; RMG #686034 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C10H14R(247)<=>C4H7R(81)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6855; RMG #686062 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C10H14R(247)<=>[H][H](83)+C10H13R(18281) 1.191692e+10 0.568 0.000 - -! Reaction index: Chemkin #6856; RMG #686068 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C10H14R(247)<=>C5H9L(84)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6857; RMG #686108 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C10H14R(247)<=>C3H5L(86)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6858; RMG #686154 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C10H14R(247)<=>CC(C)CC(C)C(87)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6859; RMG #686244 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C10H14R(247)<=>CCC(95)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6860; RMG #686250 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H14R(247)<=>CCC(95)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6861; RMG #686256 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H14R(247)<=>C6H11R(98)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6862; RMG #686440 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H14R(247)<=>C6H11L(107)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6863; RMG #686452 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C10H14R(247)<=>C6H11L(107)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6864; RMG #686486 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C10H14R(247)<=>C6H10(110)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6865; RMG #686686 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H14R(247)<=>C6H10(116)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6866; RMG #686692 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H14R(247)<=>C6H10(116)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6867; RMG #686772 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H14R(247)<=>C6H8(118)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6868; RMG #686778 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(247)<=>C6H8(118)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6869; RMG #686834 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H14R(247)<=>C7H13R(120)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6870; RMG #686852 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C10H14R(247)<=>C7H13R(120)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6871; RMG #686880 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C10H14R(247)<=>C6H8(125)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6872; RMG #687038 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C10H14R(247)<=>C4H8(157)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6873; RMG #687176 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C10H14R(247)<=>C5H8(173)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6874; RMG #687286 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C10H14R(247)<=>C5H8(180)+C10H13R(18281) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6875; RMG #687352 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C10H14R(247)<=>C5H6(187)+C10H13R(18281) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #6876; RMG #688974 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H14R(247)<=>C6H9R(285)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6877; RMG #689106 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(247)<=>C6H8(290)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6878; RMG #689734 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C10H14R(247)<=>C6H11L(325)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6879; RMG #689774 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C10H14R(247)<=>C7H13R(330)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6880; RMG #690046 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C10H14R(247)<=>CC(C)C(29484)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6881; RMG #690340 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C10H14R(247)<=>C6H8(18175)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6882; RMG #690784 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C12H15(18406)<=>C10H13R(18281)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6883; RMG #691876 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C11H13(18468)<=>C10H13R(18281)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6884; RMG #691972 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C10H14R(247)<=>C6H9R(1802)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6885; RMG #692108 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H13R(18281); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H14R(247)<=>C4H7L(36302)+C10H13R(18281) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6886; RMG #274713 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: H(82), C6H8R(288); C6H7R(24238), C6H8R(288); -! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ -! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C6H7R(24238)<=>C6H8R(288) 1.650000e+09 1.480 0.900 - -! Reaction index: Chemkin #6887; RMG #275735 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C6H8R(288)<=>C5H8(173)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6888; RMG #276000 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H8(118); C6H7(239), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(118) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6889; RMG #276006 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H8(18175); C6H7(239), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(18175) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6890; RMG #276012 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H8(290); C6H7(239), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(290) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6891; RMG #276165 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(285); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H8R(287)<=>C6H7R(24238)+C6H9R(285) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6892; RMG #276178 -! Library reaction: restart_edge -! Flux pairs: C6H8R(287), C6H9R(1802); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H8R(287)<=>C6H7R(24238)+C6H9R(1802) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6893; RMG #281688 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H8R(288)<=>C3H5R(12)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6894; RMG #281695 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C6H8R(288)<=>C3H5R(58)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6895; RMG #285478 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H8R(288)<=>C4H7R(60)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6896; RMG #285484 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C6H8R(288)<=>C4H7R(81)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6897; RMG #285522 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C6H8R(288)<=>C3H6(18)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6898; RMG #285530 -! Library reaction: restart_edge -! Flux pairs: C6H9(113), C6H10(110); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H9(113)<=>C6H7R(24238)+C6H10(110) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6899; RMG #285562 -! Library reaction: restart_edge -! Flux pairs: C6H9(114), C6H10(116); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H9(114)<=>C6H7R(24238)+C6H10(116) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6900; RMG #285569 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C6H8R(288)<=>C3H5L(59)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6901; RMG #285581 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C6H8R(288)<=>C5H8(180)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6902; RMG #289271 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H8R(288)<=>C5H9L(57)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6903; RMG #289280 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C6H8R(288)<=>C5H9L(84)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6904; RMG #289287 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C6H8R(288)<=>C4H8(157)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6905; RMG #295647 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C6H8R(288)<=>C5H6(187)+C6H7R(24238) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #6906; RMG #322554 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C6H8R(288)<=>C4H7R(60)+C6H7R(24238) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #6907; RMG #393098 -! Library reaction: restart_edge -! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C6H8R(288)<=>CCL(26)+C6H7R(24238) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #6908; RMG #692192 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(65)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6909; RMG #692196 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(69)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6910; RMG #692200 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(66)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6911; RMG #692204 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(68)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6912; RMG #692208 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(72)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6913; RMG #692212 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(73)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6914; RMG #692216 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(71)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6915; RMG #692220 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(67)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6916; RMG #692224 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C9H17LR(70)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6917; RMG #692260 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C10H20R(64)<=>C6H7R(24238)+RC10(2) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6918; RMG #692296 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C10H20L(76)<=>C6H7R(24238)+LC10(3) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6919; RMG #692397 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C6H8R(288)<=>CC(C)L(13)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6920; RMG #692418 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C6H8R(288)<=>CCCC(C)L(16)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6921; RMG #692434 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(17); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10R(171)<=>C6H7R(24238)+C6H11R(17) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6922; RMG #692511 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C6H8R(288)<=>CC(C)CR(20)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6923; RMG #692557 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C6H8R(288)<=>CR(22)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6924; RMG #692581 -! Template reaction: Disproportionation -! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H14R(9)<=>C6H7R(24238)+CC(C)CC(C)CR(23) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6925; RMG #692589 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H8R(288)<=>C5H9L(24)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6926; RMG #692627 -! Template reaction: Disproportionation -! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H12L(11)<=>C6H7R(24238)+CC(C)CC(C)L(25) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6927; RMG #692642 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C6H8R(288)<=>CCCR(27)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6928; RMG #692842 -! Template reaction: Disproportionation -! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C[CH]CC(C)CR(5)<=>C6H7R(24238)+CCCC(C)CR(32) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6929; RMG #692902 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C6H8R(288)<=>CC(L)CC(C)L(35)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6930; RMG #693234 -! Template reaction: Disproportionation -! Flux pairs: C8H16L(15), C8H17L(49); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C8H16L(15)<=>C6H7R(24238)+C8H17L(49) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6931; RMG #693544 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(56); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10R(90)<=>C6H7R(24238)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6932; RMG #693556 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(171), C6H11R(56); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10R(171)<=>C6H7R(24238)+C6H11R(56) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6933; RMG #693585 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C6H8R(288)<=>C5H9L(57)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6934; RMG #693665 -! Template reaction: Disproportionation -! Flux pairs: C8H14L(112), C8H15L(61); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C8H14L(112)<=>C6H7R(24238)+C8H15L(61) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6935; RMG #693711 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(62); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H12R(108)<=>C6H7R(24238)+C7H13R(62) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6936; RMG #693745 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(103), C6H11L(63); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10L(103)<=>C6H7R(24238)+C6H11L(63) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6937; RMG #693861 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C6H8R(288)<=>C(75)+C6H7R(24238) 1.150000e+13 -0.320 0.000 - -! Reaction index: Chemkin #6938; RMG #693936 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C6H8R(288)<=>[H][H](83)+C6H7R(24238) 1.191692e+10 0.568 0.000 - -! Reaction index: Chemkin #6939; RMG #693974 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C6H8R(288)<=>C3H5L(86)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6940; RMG #694004 -! Template reaction: Disproportionation -! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H15(85)<=>C6H7R(24238)+CC(C)CC(C)C(87) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6941; RMG #694144 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C6H8R(288)<=>CCC(95)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6942; RMG #694148 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C6H8R(288)<=>CCC(95)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6943; RMG #694188 -! Template reaction: Disproportionation -! Flux pairs: C6H10R(90), C6H11R(98); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10R(90)<=>C6H7R(24238)+C6H11R(98) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6944; RMG #694398 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(107); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10L(169)<=>C6H7R(24238)+C6H11L(107) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6945; RMG #694406 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(103), C6H11L(107); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10L(103)<=>C6H7R(24238)+C6H11L(107) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6946; RMG #694772 -! Template reaction: Disproportionation -! Flux pairs: C6H9(160), C6H10(116); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H8R(288)+C6H9(160)<=>C6H7R(24238)+C6H10(116) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6947; RMG #694827 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H8(118); C6H7(123), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H8R(288)<=>C6H7R(24238)+C6H8(118) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6948; RMG #694866 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(120); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H12R(199)<=>C6H7R(24238)+C7H13R(120) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6949; RMG #694878 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(108), C7H13R(120); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H12R(108)<=>C6H7R(24238)+C7H13R(120) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6950; RMG #694932 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H8(125); C6H7(123), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C6H8R(288)<=>C6H7R(24238)+C6H8(125) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #6951; RMG #695623 -! Template reaction: Disproportionation -! Flux pairs: C10H14R(247), C10H14(179); C10H13(202), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C10H14R(247)<=>C10H13R(18281)+C10H14(179) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6952; RMG #695721 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C10H13(202)<=>C6H7R(24238)+C10H14(179) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6953; RMG #696972 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C11H15(234)<=>C10H13R(18281)+C11H16(229) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6954; RMG #697070 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C11H15(234)<=>C6H7R(24238)+C11H16(229) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6955; RMG #698519 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C12H15(323)<=>C10H13R(18281)+C12H16(269) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6956; RMG #698617 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C12H15(323)<=>C6H7R(24238)+C12H16(269) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6957; RMG #699443 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C11H13(298)<=>C10H13R(18281)+C11H14(276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6958; RMG #699541 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C11H13(298)<=>C6H7R(24238)+C11H14(276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6959; RMG #701828 -! Template reaction: Disproportionation -! Flux pairs: C6H10L(169), C6H11L(325); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C6H10L(169)<=>C6H7R(24238)+C6H11L(325) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6960; RMG #702030 -! Template reaction: Disproportionation -! Flux pairs: C7H12R(199), C7H13R(330); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C7H12R(199)<=>C6H7R(24238)+C7H13R(330) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6961; RMG #702781 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C6H8R(288)<=>CC(C)C(29484)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6962; RMG #704393 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C12H15(18406)<=>C6H7R(24238)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6963; RMG #705882 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C11H13(18468)<=>C6H7R(24238)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6964; RMG #706031 -! Template reaction: Disproportionation -! Flux pairs: C6H8R(288), C6H7R(24238); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C6H8R(288)<=>C4H7L(36302)+C6H7R(24238) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #6965; RMG #143919 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(58), C9H12R(18224); C6H7(239), C9H12R(18224); -! Estimated using template [Cds-CsH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5R(58)+C6H7(239)<=>C9H12R(18224) 2.382500e+02 2.700 11.200 - -! Reaction index: Chemkin #6966; RMG #706136 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H12R(18224), C9H12R(38723); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R -C9H12R(18224)<=>C9H12R(38723) 1.053080e+11 0.266 5.998 - -! Reaction index: Chemkin #6967; RMG #545310 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C10H15(18437), C10H15(32869); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R_2R!H-inRing_Ext-4R!H-R -C10H15(18437)<=>C10H15(32869) 1.448900e+10 1.223 13.631 - -! Reaction index: Chemkin #6968; RMG #143550 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H6(18), C9H13(18191); C6H7(239), C9H13(18191); -! Estimated using template [Cds-CsH_Cds-HH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-HH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H6(18)+C6H7(239)<=>C9H13(18191) 6.850000e+01 2.840 12.200 - -! Reaction index: Chemkin #6969; RMG #179556 -! Library reaction: restart_edge -! Flux pairs: C9H13(260), C9H13(20452); -! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-3R!H-R -C9H13(260)<=>C9H13(20452) 9.639880e+06 0.978 9.763 - -! Reaction index: Chemkin #6970; RMG #706775 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H13(18191), C9H13(20452); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R -C9H13(18191)<=>C9H13(20452) 1.053080e+11 0.266 6.120 - -! Reaction index: Chemkin #6971; RMG #706774 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H13(18191), C9H13(38809); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R -C9H13(18191)<=>C9H13(38809) 1.053080e+11 0.266 9.387 - -! Reaction index: Chemkin #6972; RMG #706135 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H12R(18224), C9H12R(38722); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R -C9H12R(18224)<=>C9H12R(38722) 1.053080e+11 0.266 9.229 - -! Reaction index: Chemkin #6973; RMG #148248 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18717); C6H9(160), C12H16(18717); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(160)<=>C12H16(18717) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #6974; RMG #393812 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(337)<=>C9H17LR(65)+C12H16(18717) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6975; RMG #393813 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(337)<=>C9H17LR(69)+C12H16(18717) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6976; RMG #393814 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6977; RMG #393815 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6978; RMG #393816 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C12H15(337)<=>C9H17LR(72)+C12H16(18717) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #6979; RMG #393817 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6980; RMG #393818 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6981; RMG #393819 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6982; RMG #393820 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6983; RMG #393993 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C3H4R(78), C3H5R(12); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C12H16(18717)<=>C3H5R(12)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6984; RMG #394037 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C12H16(18717)<=>CC(C)L(13)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6985; RMG #394062 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C12H16(18717)<=>CCCC(C)L(16)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6986; RMG #394104 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H10R(171), C6H11R(17); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C12H16(18717)<=>C6H11R(17)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6987; RMG #394168 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C12H15(337)<=>C3H5(102)+C12H16(18717) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #6988; RMG #394255 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C12H16(18717)<=>CC(C)CR(20)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6989; RMG #394370 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C12H16(18717)<=>CR(22)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6990; RMG #394394 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H14R(9)+C12H16(18717)<=>CC(C)CC(C)CR(23)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6991; RMG #394446 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C5H8L(89), C5H9L(24); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C12H16(18717)<=>C5H9L(24)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #6992; RMG #394511 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C12H16(18717)<=>CC(C)CC(C)L(25)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #6993; RMG #394546 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C12H16(18717)<=>CCL(26)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6994; RMG #394567 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C12H16(18717)<=>CCCR(27)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6995; RMG #395118 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C12H16(18717)<=>CCCC(C)CR(32)+C12H15(337) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #6996; RMG #395302 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); CC(L)CC(C)L(35), C5H9L2(203); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CC(L)CC(C)L(35)+C12H15(337)<=>C5H9L2(203)+C12H16(18717) 1.390000e-02 4.340 14.900 - -! Reaction index: Chemkin #6997; RMG #396806 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C12H15(337)<=>C6H10R(90)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #6998; RMG #396809 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C12H16(18717)<=>C6H11R(56)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #6999; RMG #396880 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C12H15(337)<=>C5H8L(77)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7000; RMG #396882 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C12H16(18717)<=>C5H9L(57)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7001; RMG #396943 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C12H16(18717)<=>C3H5R(58)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7002; RMG #396990 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C12H16(18717)<=>C3H5L(59)+C12H15(337) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #7003; RMG #397032 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C12H16(18717)<=>C4H7R(60)+C12H15(337) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #7004; RMG #397033 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C4H6R(79), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C12H16(18717)<=>C4H7R(60)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7005; RMG #397152 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C7H12R(108), C7H13R(62); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C12H16(18717)<=>C7H13R(62)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7006; RMG #397226 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H10L(103), C6H11L(63); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C12H16(18717)<=>C6H11L(63)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7007; RMG #397279 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C12H15(337)<=>CH3(74)+C12H16(18717) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #7008; RMG #397381 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C12H16(18717)<=>C4H7R(81)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7009; RMG #397432 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C5H8L(77), C5H9L(84); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(77)+C12H16(18717)<=>C5H9L(84)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7010; RMG #397483 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C3H4L(219), C3H5L(86); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4L(219)+C12H16(18717)<=>C3H5L(86)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7011; RMG #397680 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C12H15(337)<=>C[CH]C(94)+C12H16(18717) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #7012; RMG #397681 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C12H16(18717)<=>CCC(95)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7013; RMG #397708 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H10R(90), C6H11R(98); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(90)+C12H16(18717)<=>C6H11R(98)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7014; RMG #397963 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C12H15(337)<=>C6H10L(169)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7015; RMG #397965 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C12H16(18717)<=>C6H11L(107)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7016; RMG #398828 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H9(160), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H9(160)+C12H16(18717)<=>C6H10(116)+C12H15(337) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #7017; RMG #398829 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C6H9(114), C6H10(116); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9(114)+C12H16(18717)<=>C6H10(116)+C12H15(337) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7018; RMG #399064 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H8(118), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(118)+C12H15(337)<=>C6H7(123)+C12H16(18717) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #7019; RMG #399065 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H8(118), C6H7(239); -! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H8(118)+C12H15(337)<=>C6H7(239)+C12H16(18717) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #7020; RMG #399149 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C7H13R(120), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C12H15(337)<=>C7H12R(199)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7021; RMG #399152 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C12H16(18717)<=>C7H13R(120)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7022; RMG #399238 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H8(125), C6H7(123); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(125)+C12H15(337)<=>C6H7(123)+C12H16(18717) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #7023; RMG #399407 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C4H7(156), C4H8(157); -! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2] -! Euclidian distance = 1.0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H7(156)+C12H16(18717)<=>C4H8(157)+C12H15(337) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #7024; RMG #399595 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C5H8(173), C5H7(174); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C5H8(173)+C12H15(337)<=>C5H7(174)+C12H16(18717) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #7025; RMG #400009 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C5H8(180), C5H7(178); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C5H8(180)+C12H15(337)<=>C5H7(178)+C12H16(18717) 9.160000e-03 4.340 11.700 - -! Reaction index: Chemkin #7026; RMG #400291 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C5H6(187), C5H5(189); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H6(187)+C12H15(337)<=>C5H5(189)+C12H16(18717) 1.962000e-03 4.340 6.300 - -! Reaction index: Chemkin #7027; RMG #405646 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H9R(285), C6H8R(287); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H9R(285)+C12H15(337)<=>C6H8R(287)+C12H16(18717) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #7028; RMG #406928 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C12H15(337)<=>C6H10L(169)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7029; RMG #406988 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); C7H13R(330), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C12H15(337)<=>C7H12R(199)+C12H16(18717) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7030; RMG #493099 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)C(399)+C12H16(18717)<=>CC(C)C(29484)+C12H15(337) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7031; RMG #682447 -! Template reaction: H_Abstraction -! Flux pairs: C12H16(18717), C12H15(337); C4H6L(1895), C4H7L(36302); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6L(1895)+C12H16(18717)<=>C4H7L(36302)+C12H15(337) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7032; RMG #706175 -! Template reaction: H_Abstraction -! Flux pairs: C12H15(337), C12H16(18717); [H][H](83), H(82); -! From training reaction 790 used for H2;C_rad/H/CdCs -! Exact match found for rate rule [H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction. -[H][H](83)+C12H15(337)<=>H(82)+C12H16(18717) 4.580000e-02 4.340 22.252 - -! Reaction index: Chemkin #7033; RMG #706960 -! Template reaction: R_Recombination -! Flux pairs: C12H15(337), C12H16(18717); H(82), C12H16(18717); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H -H(82)+C12H15(337)<=>C12H16(18717) 1.576430e+13 -0.222 0.000 - -! Reaction index: Chemkin #7034; RMG #707043 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C12H15(337)<=>C3H6(18)+C12H16(18717) 2.105300e+14 -0.550 0.161 - -! Reaction index: Chemkin #7035; RMG #707053 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C12H15(337)<=>C3H6(18)+C12H16(18717) 2.451708e+27 -4.376 7.519 - -! Reaction index: Chemkin #7036; RMG #707205 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C12H15(337)<=>C3H5R(12)+C12H16(18717) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #7037; RMG #707303 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C12H15(337)<=>C6H11R(17)+C12H16(18717) 1.225854e+27 -4.376 7.433 - -! Reaction index: Chemkin #7038; RMG #707325 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C12H15(337)<=>C2H3L(19)+C12H16(18717) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #7039; RMG #707421 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C12H15(337)<=>C8H15L(21)+C12H16(18717) 1.225854e+27 -4.376 7.433 - -! Reaction index: Chemkin #7040; RMG #707513 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C12H15(337)<=>C5H9L(24)+C12H16(18717) 1.225854e+27 -4.376 7.433 - -! Reaction index: Chemkin #7041; RMG #707811 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C12H15(337)<=>C6H11R(56)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7042; RMG #707861 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C12H15(337)<=>C5H9L(57)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7043; RMG #707909 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C12H15(337)<=>C3H5R(58)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7044; RMG #707931 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C12H15(337)<=>C3H5L(59)+C12H16(18717) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #7045; RMG #707969 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C12H15(337)<=>C4H7R(60)+C12H16(18717) 5.258140e+13 -0.550 0.110 - -! Reaction index: Chemkin #7046; RMG #708037 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C12H15(337)<=>C8H15L(61)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7047; RMG #708093 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C12H15(337)<=>C7H13R(62)+C12H16(18717) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7048; RMG #708143 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C12H15(337)<=>C6H11L(63)+C12H16(18717) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7049; RMG #708345 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C12H15(337)<=>C4H5L(91)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7050; RMG #708761 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(337)<=>C6H8(118)+C12H16(18717) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7051; RMG #708881 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C12H15(337)<=>C6H8(125)+C12H16(18717) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7052; RMG #708891 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C12H15(337)<=>C6H8(125)+C12H16(18717) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #7053; RMG #708923 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C12H15(337)<=>C4H8(157)+C12H16(18717) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7054; RMG #709144 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C5H7(178), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C12H15(337)<=>C5H6(187)+C12H16(18717) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #7055; RMG #709259 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(18175), C6H7(239); C12H15(337), C12H16(18717); -! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C6H8(18175)+C12H15(337)<=>C6H7(239)+C12H16(18717) 3.924000e-03 4.340 6.300 - -! Reaction index: Chemkin #7056; RMG #709275 -! Template reaction: H_Abstraction -! Flux pairs: C6H8(290), C6H7(239); C12H15(337), C12H16(18717); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H8(290)+C12H15(337)<=>C6H7(239)+C12H16(18717) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7057; RMG #709319 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H7(239), C6H6(252); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C12H15(337)<=>C6H6(252)+C12H16(18717) 1.350000e+03 2.700 0.413 - -! Reaction index: Chemkin #7058; RMG #709339 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H7(123), C6H6(252); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H7(123)+C12H15(337)<=>C6H6(252)+C12H16(18717) 1.225854e+27 -4.376 11.389 - -! Reaction index: Chemkin #7059; RMG #709373 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C12H15(337)<=>C5H7L(262)+C12H16(18717) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #7060; RMG #709403 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C12H15(337)<=>C5H7L(262)+C12H16(18717) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #7061; RMG #709473 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C12H15(337)<=>C6H9R(285)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7062; RMG #709543 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H9(114)+C12H15(337)<=>C6H8(290)+C12H16(18717) 1.225854e+27 -4.376 11.229 - -! Reaction index: Chemkin #7063; RMG #709737 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H10R(171), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H10R(171)+C12H15(337)<=>C6H9R(1802)+C12H16(18717) 5.258140e+13 -0.550 0.781 - -! Reaction index: Chemkin #7064; RMG #709767 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H10R(90), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C6H10R(90)+C12H15(337)<=>C6H9R(1802)+C12H16(18717) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #7065; RMG #709817 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C5H9LR(138), C5H8LR(1393); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9LR(138)+C12H15(337)<=>C5H8LR(1393)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7066; RMG #709911 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C6H8R(288), C6H7R(24238); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(288)+C12H15(337)<=>C6H7R(24238)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7067; RMG #144448 -! Library reaction: restart_edge -! Flux pairs: C4H7(156), C10H14(18433); C6H7(239), C10H14(18433); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C4H7(156)+C6H7(239)<=>C10H14(18433) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #7068; RMG #179554 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]L(8), C12H18L(259); C10H14(18433), C12H18L(259); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]L(8)+C10H14(18433)<=>C12H18L(259) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #7069; RMG #263154 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C[CH]CR(10), C13H20R(281); C10H14(18433), C13H20R(281); -! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH -! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C[CH]CR(10)+C10H14(18433)<=>C13H20R(281) 5.575000e+02 2.470 3.895 - -! Reaction index: Chemkin #7070; RMG #545315 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C10H14(18433), C10H15(18437); H(82), C10H15(18437); -! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ -! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C10H14(18433)<=>C10H15(18437) 1.691000e+10 1.168 2.996 - -! Reaction index: Chemkin #7071; RMG #709954 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(65), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(65)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593 - -! Reaction index: Chemkin #7072; RMG #709960 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(69), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(69)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593 - -! Reaction index: Chemkin #7073; RMG #709966 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(66), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(66)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7074; RMG #709972 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(68), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(68)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7075; RMG #709978 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(72), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(72)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593 - -! Reaction index: Chemkin #7076; RMG #709984 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(73), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(73)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7077; RMG #709990 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(71), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(71)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7078; RMG #709996 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(67), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(67)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7079; RMG #710002 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(70), RC10L(1); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C9H17LR(70)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7080; RMG #710056 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C10H20R(64)<=>C10H14(18433)+RC10(2) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7081; RMG #710110 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C10H20L(76)<=>C10H14(18433)+LC10(3) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7082; RMG #710142 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C10H15(18437)<=>C3H5R(12)+C10H14(18433) 2.451708e+27 -4.376 6.892 - -! Reaction index: Chemkin #7083; RMG #710182 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)L(4)+C10H15(18437)<=>CC(C)L(13)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7084; RMG #710200 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)L(7)+C10H15(18437)<=>CCCC(C)L(16)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7085; RMG #710224 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(171)+C10H15(18437)<=>C6H11R(17)+C10H14(18433) 2.451708e+27 -4.376 7.020 - -! Reaction index: Chemkin #7086; RMG #710270 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 12.0 -C3H5(102)+C10H15(18437)<=>C3H6(18)+C10H14(18433) 6.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7087; RMG #710344 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)CR(6)+C10H15(18437)<=>CC(C)CR(20)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7088; RMG #710414 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]R(14)+C10H15(18437)<=>CR(22)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7089; RMG #710450 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H14R(9)+C10H15(18437)<=>CC(C)CC(C)CR(23)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7090; RMG #710462 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(89)+C10H15(18437)<=>C5H9L(24)+C10H14(18433) 2.451708e+27 -4.376 7.020 - -! Reaction index: Chemkin #7091; RMG #710520 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H12L(11)+C10H15(18437)<=>CC(C)CC(C)L(25)+C10H14(18433) 2.451708e+27 -4.376 3.813 - -! Reaction index: Chemkin #7092; RMG #710538 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]L(8)+C10H15(18437)<=>CCL(26)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7093; RMG #710544 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CR(10)+C10H15(18437)<=>CCCR(27)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7094; RMG #710874 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]CC(C)CR(5)+C10H15(18437)<=>CCCC(C)CR(32)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7095; RMG #711024 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H9L2(203)+C10H15(18437)<=>CC(L)CC(C)L(35)+C10H14(18433) 2.451708e+27 -4.376 4.593 - -! Reaction index: Chemkin #7096; RMG #711930 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C8H16L(15)+C10H15(18437)<=>C8H17L(49)+C10H14(18433) 2.451708e+27 -4.376 4.251 - -! Reaction index: Chemkin #7097; RMG #712026 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(90)+C10H15(18437)<=>C6H11R(56)+C10H14(18433) 2.451708e+27 -4.376 7.329 - -! Reaction index: Chemkin #7098; RMG #712044 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(171)+C10H15(18437)<=>C6H11R(56)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7099; RMG #712078 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C10H15(18437)<=>C5H9L(57)+C10H14(18433) 2.451708e+27 -4.376 7.329 - -! Reaction index: Chemkin #7100; RMG #712090 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(89)+C10H15(18437)<=>C5H9L(57)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7101; RMG #712124 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4R(78)+C10H15(18437)<=>C3H5R(58)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7102; RMG #712158 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C3H4L(147)+C10H15(18437)<=>C3H5L(59)+C10H14(18433) 4.903416e+27 -4.376 6.234 - -! Reaction index: Chemkin #7103; RMG #712186 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C4H6R(224)+C10H15(18437)<=>C4H7R(60)+C10H14(18433) 4.903416e+27 -4.376 6.234 - -! Reaction index: Chemkin #7104; RMG #712192 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(79)+C10H15(18437)<=>C4H7R(60)+C10H14(18433) 2.451708e+27 -4.376 6.892 - -! Reaction index: Chemkin #7105; RMG #712220 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C8H14L(112)+C10H15(18437)<=>C8H15L(61)+C10H14(18433) 2.451708e+27 -4.376 7.329 - -! Reaction index: Chemkin #7106; RMG #712290 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(108)+C10H15(18437)<=>C7H13R(62)+C10H14(18433) 2.451708e+27 -4.376 7.020 - -! Reaction index: Chemkin #7107; RMG #712342 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(103)+C10H15(18437)<=>C6H11L(63)+C10H14(18433) 2.451708e+27 -4.376 7.020 - -! Reaction index: Chemkin #7108; RMG #712382 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); CH3(74), C(75); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -CH3(74)+C10H15(18437)<=>C(75)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7109; RMG #712532 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6R(79)+C10H15(18437)<=>C4H7R(81)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7110; RMG #712560 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); H(82), [H][H](83); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C -! Multiplied by reaction path degeneracy 6.0 -H(82)+C10H15(18437)<=>[H][H](83)+C10H14(18433) 4.338000e+13 0.000 2.542 - -! Reaction index: Chemkin #7111; RMG #712566 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C5H8L(77)+C10H15(18437)<=>C5H9L(84)+C10H14(18433) 2.451708e+27 -4.376 7.008 - -! Reaction index: Chemkin #7112; RMG #712606 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C3H4L(219)+C10H15(18437)<=>C3H5L(86)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7113; RMG #712670 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C7H15(85)+C10H15(18437)<=>CC(C)CC(C)C(87)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7114; RMG #712788 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H15(18437)<=>CCC(95)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7115; RMG #712794 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]CC(195)+C10H15(18437)<=>CCC(95)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7116; RMG #712800 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10R(90)+C10H15(18437)<=>C6H11R(98)+C10H14(18433) 2.451708e+27 -4.376 7.008 - -! Reaction index: Chemkin #7117; RMG #713027 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(169)+C10H15(18437)<=>C6H11L(107)+C10H14(18433) 2.451708e+27 -4.376 7.329 - -! Reaction index: Chemkin #7118; RMG #713039 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(103)+C10H15(18437)<=>C6H11L(107)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7119; RMG #713101 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(113)+C10H15(18437)<=>C6H10(110)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7120; RMG #713315 -! Template reaction: H_Abstraction -! Flux pairs: C6H10(110), C6H9(113); C12H15(337), C12H16(18717); -! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C6H10(110)+C12H15(337)<=>C6H9(113)+C12H16(18717) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #7121; RMG #713548 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H9(160)+C10H15(18437)<=>C6H10(116)+C10H14(18433) 4.903416e+27 -4.376 7.596 - -! Reaction index: Chemkin #7122; RMG #713554 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H9(114)+C10H15(18437)<=>C6H10(116)+C10H14(18433) 2.451708e+27 -4.376 7.596 - -! Reaction index: Chemkin #7123; RMG #713684 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C10H15(18437)<=>C6H8(118)+C10H14(18433) 4.903416e+27 -4.376 6.989 - -! Reaction index: Chemkin #7124; RMG #713690 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H15(18437)<=>C6H8(118)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7125; RMG #713746 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(199)+C10H15(18437)<=>C7H13R(120)+C10H14(18433) 2.451708e+27 -4.376 7.329 - -! Reaction index: Chemkin #7126; RMG #713764 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(108)+C10H15(18437)<=>C7H13R(120)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7127; RMG #713792 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C6H7(123)+C10H15(18437)<=>C6H8(125)+C10H14(18433) 4.903416e+27 -4.376 7.071 - -! Reaction index: Chemkin #7128; RMG #714026 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 12.0 -C4H7(156)+C10H15(18437)<=>C4H8(157)+C10H14(18433) 6.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7129; RMG #714192 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 12.0 -C5H7(174)+C10H15(18437)<=>C5H8(173)+C10H14(18433) 6.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7130; RMG #714345 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(179); C10H13(202), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H13(202)+C10H15(18437)<=>C10H14(18433)+C10H14(179) 2.451708e+27 -4.376 7.657 - -! Reaction index: Chemkin #7131; RMG #714441 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 12.0 -C5H7(178)+C10H15(18437)<=>C5H8(180)+C10H14(18433) 4.903416e+27 -4.376 7.596 - -! Reaction index: Chemkin #7132; RMG #714557 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 30.0 -C5H5(189)+C10H15(18437)<=>C5H6(187)+C10H14(18433) 1.225854e+28 -4.376 6.973 - -! Reaction index: Chemkin #7133; RMG #714691 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C8H13(191), C8H12(194); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H13(191)+C12H15(337)<=>C8H12(194)+C12H16(18717) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #7134; RMG #715463 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C11H15(234)<=>C10H14(18433)+C11H16(229) 2.451708e+27 -4.376 7.596 - -! Reaction index: Chemkin #7135; RMG #715681 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H14R(316), C10H13R(240); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H14R(316)+C12H15(337)<=>C10H13R(240)+C12H16(18717) 1.225854e+27 -4.376 7.443 - -! Reaction index: Chemkin #7136; RMG #716891 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C12H15(323)<=>C10H14(18433)+C12H16(269) 2.451708e+27 -4.376 7.657 - -! Reaction index: Chemkin #7137; RMG #717297 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H13(260), C9H12(272); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(260)+C12H15(337)<=>C9H12(272)+C12H16(18717) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #7138; RMG #717735 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C11H13(298)<=>C10H14(18433)+C11H14(276) 2.451708e+27 -4.376 7.657 - -! Reaction index: Chemkin #7139; RMG #717863 -! Template reaction: Disproportionation -! Flux pairs: C12H15(22038), C12H16(18717); C12H15(337), C12H14(277); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C12H15(337)+C12H15(22038)<=>C12H14(277)+C12H16(18717) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7140; RMG #718059 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H8R(287)+C10H15(18437)<=>C6H9R(285)+C10H14(18433) 2.451708e+27 -4.376 8.172 - -! Reaction index: Chemkin #7141; RMG #718144 -! Template reaction: H_Abstraction -! Flux pairs: C6H9R(1802), C6H8R(287); C12H15(337), C12H16(18717); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H9R(1802)+C12H15(337)<=>C6H8R(287)+C12H16(18717) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7142; RMG #718238 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H15(18437)<=>C6H8(290)+C10H14(18433) 2.451708e+27 -4.376 9.002 - -! Reaction index: Chemkin #7143; RMG #718742 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H10L(169)+C10H15(18437)<=>C6H11L(325)+C10H14(18433) 2.451708e+27 -4.376 7.370 - -! Reaction index: Chemkin #7144; RMG #718782 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C7H12R(199)+C10H15(18437)<=>C7H13R(330)+C10H14(18433) 2.451708e+27 -4.376 7.370 - -! Reaction index: Chemkin #7145; RMG #719162 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C -! Multiplied by reaction path degeneracy 6.0 -[CH2]C(C)C(399)+C10H15(18437)<=>CC(C)C(29484)+C10H14(18433) 3.000000e+11 0.000 0.000 - -! Reaction index: Chemkin #7146; RMG #719672 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H13(311), C9H12(18323); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H13(311)+C12H15(337)<=>C9H12(18323)+C12H16(18717) 1.225854e+27 -4.376 7.628 - -! Reaction index: Chemkin #7147; RMG #720028 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H7(239)+C10H15(18437)<=>C6H8(18175)+C10H14(18433) 2.451708e+27 -4.376 10.193 - -! Reaction index: Chemkin #7148; RMG #720166 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18225), C9H11R(18275); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12R(18225)+C12H15(337)<=>C9H11R(18275)+C12H16(18717) 1.225854e+27 -4.376 7.301 - -! Reaction index: Chemkin #7149; RMG #720564 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H14R(316), C10H13R(18283); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(316)+C12H15(337)<=>C10H13R(18283)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7150; RMG #721024 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C12H15(18406)<=>C10H14(18433)+C12H16(18680) 2.451708e+27 -4.376 7.657 - -! Reaction index: Chemkin #7151; RMG #721948 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H12L(293), C9H11L(18431); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C9H12L(293)+C12H15(337)<=>C9H11L(18431)+C12H16(18717) 1.225854e+27 -4.376 7.443 - -! Reaction index: Chemkin #7152; RMG #722746 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H14R(18285), C10H13R(18278); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H14R(18285)+C12H15(337)<=>C10H13R(18278)+C12H16(18717) 2.451708e+27 -4.376 7.511 - -! Reaction index: Chemkin #7153; RMG #722992 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C11H13(18468)<=>C10H14(18433)+C11H14(18772) 2.451708e+27 -4.376 7.657 - -! Reaction index: Chemkin #7154; RMG #723088 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C6H8R(287)+C10H15(18437)<=>C6H9R(1802)+C10H14(18433) 2.451708e+27 -4.376 8.853 - -! Reaction index: Chemkin #7155; RMG #723224 -! Template reaction: Disproportionation -! Flux pairs: C10H15(18437), C10H14(18433); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C4H6L(1895)+C10H15(18437)<=>C4H7L(36302)+C10H14(18433) 2.451708e+27 -4.376 6.234 - -! Reaction index: Chemkin #7156; RMG #723354 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H14R(247), C10H13R(18281); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C10H14R(247)+C12H15(337)<=>C10H13R(18281)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7157; RMG #723602 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H15(18437), C10H14(18433); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C10H15(18437)+C12H15(337)<=>C10H14(18433)+C12H16(18717) 2.451708e+27 -4.376 7.596 - -! Reaction index: Chemkin #7158; RMG #143508 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(12), C9H12R(18184); C6H7(239), C9H12R(18184); -! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CdCsH] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -C3H5R(12)+C6H7(239)<=>C9H12R(18184) 3.860000e+03 2.410 11.370 - -! Reaction index: Chemkin #7159; RMG #186651 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(65)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7160; RMG #186657 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(69)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7161; RMG #186663 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(66)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7162; RMG #186669 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(68)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7163; RMG #186675 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(72)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7164; RMG #186681 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(73)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7165; RMG #186687 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(71)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7166; RMG #186693 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(67)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7167; RMG #186699 -! Library reaction: restart_edge -! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C9H17LR(70)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7168; RMG #186753 -! Library reaction: restart_edge -! Flux pairs: C10H20R(64), RC10(2); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C10H20R(64)<=>C9H11R(263)+RC10(2) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7169; RMG #186807 -! Library reaction: restart_edge -! Flux pairs: C10H20L(76), LC10(3); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C10H20L(76)<=>C9H11R(263)+LC10(3) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7170; RMG #186813 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C9H12R(18184)<=>C3H5R(12)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7171; RMG #186853 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C9H12R(18184)<=>CC(C)L(13)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7172; RMG #186871 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H12R(18184)<=>CCCC(C)L(16)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7173; RMG #186895 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C9H12R(18184)<=>C6H11R(17)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7174; RMG #186941 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C9H12R(18184)<=>C3H6(18)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7175; RMG #187015 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C9H12R(18184)<=>CC(C)CR(20)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7176; RMG #187085 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C9H12R(18184)<=>CR(22)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7177; RMG #187121 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C9H12R(18184)<=>CC(C)CC(C)CR(23)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7178; RMG #187133 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C9H12R(18184)<=>C5H9L(24)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7179; RMG #187191 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C9H12R(18184)<=>CC(C)CC(C)L(25)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7180; RMG #187209 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C9H12R(18184)<=>CCL(26)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7181; RMG #187215 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H12R(18184)<=>CCCR(27)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7182; RMG #187245 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H12R(18184)<=>CCCC(C)CR(32)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7183; RMG #187269 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H12R(18184)<=>C6H11R(56)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7184; RMG #187287 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C9H12R(18184)<=>C6H11R(56)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7185; RMG #187321 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C9H12R(18184)<=>C5H9L(57)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7186; RMG #187333 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C9H12R(18184)<=>C5H9L(57)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7187; RMG #187367 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C9H12R(18184)<=>C3H5R(58)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7188; RMG #187401 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C9H12R(18184)<=>C3H5L(59)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7189; RMG #187429 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C9H12R(18184)<=>C4H7R(60)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7190; RMG #187435 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C9H12R(18184)<=>C4H7R(60)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7191; RMG #187463 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C9H12R(18184)<=>C8H15L(61)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7192; RMG #187533 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C9H12R(18184)<=>C7H13R(62)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7193; RMG #187585 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C9H12R(18184)<=>C6H11L(63)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7194; RMG #187625 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C9H12R(18184)<=>C(75)+C9H11R(263) 1.150000e+13 -0.320 0.000 -DUPLICATE - -! Reaction index: Chemkin #7195; RMG #187629 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C -! Multiplied by reaction path degeneracy 2.0 -CH3(74)+C9H12R(18184)<=>C(75)+C9H11R(263) 9.124700e+12 -0.160 0.000 -DUPLICATE - -! Reaction index: Chemkin #7196; RMG #187635 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C9H12R(18184)<=>C4H7R(81)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7197; RMG #187663 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C9H12R(18184)<=>[H][H](83)+C9H11R(263) 1.191690e+10 0.568 0.000 - -! Reaction index: Chemkin #7198; RMG #187670 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C9H12R(18184)<=>C5H9L(84)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7199; RMG #187710 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H12R(18184)<=>C6H11R(98)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7200; RMG #187756 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C9H12R(18184)<=>C6H11L(107)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7201; RMG #187768 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C9H12R(18184)<=>C6H11L(107)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7202; RMG #187802 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C9H12R(18184)<=>C6H10(110)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7203; RMG #187858 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C9H12R(18184)<=>C7H13R(120)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7204; RMG #187876 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C9H12R(18184)<=>C7H13R(120)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7205; RMG #188090 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C9H12R(18184)<=>CC(L)CC(C)L(35)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7206; RMG #188312 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H12R(18184)<=>C8H17L(49)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7207; RMG #188374 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C9H12R(18184)<=>C3H5L(86)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7208; RMG #188420 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C9H12R(18184)<=>CC(C)CC(C)C(87)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7209; RMG #188482 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C9H12R(18184)<=>CCC(95)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7210; RMG #188488 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H12R(18184)<=>CCC(95)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7211; RMG #188692 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H12R(18184)<=>C6H10(116)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7212; RMG #188698 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H12R(18184)<=>C6H10(116)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7213; RMG #188732 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C9H12R(18184)<=>C6H8(118)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7214; RMG #188738 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18184)<=>C6H8(118)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7215; RMG #188794 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C9H12R(18184)<=>C6H8(125)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7216; RMG #188856 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C9H12R(18184)<=>C4H8(157)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7217; RMG #188952 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C9H12R(18184)<=>C5H8(173)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7218; RMG #189020 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H12R(18184)<=>C5H8(180)+C9H11R(263) 3.095870e+12 0.025 0.000 - -! Reaction index: Chemkin #7219; RMG #189040 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C9H12R(18184)<=>C5H6(187)+C9H11R(263) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #7220; RMG #193817 -! Library reaction: restart_edge -! Flux pairs: C10H13(202), C10H14(179); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C10H13(202)<=>C9H11R(263)+C10H14(179) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7221; RMG #194511 -! Library reaction: restart_edge -! Flux pairs: C11H15(234), C11H16(229); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C11H15(234)<=>C9H11R(263)+C11H16(229) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7222; RMG #259266 -! Library reaction: restart_edge -! Flux pairs: C12H15(323), C12H16(269); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C12H15(323)<=>C9H11R(263)+C12H16(269) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7223; RMG #259590 -! Library reaction: restart_edge -! Flux pairs: C11H13(298), C11H14(276); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C11H13(298)<=>C9H11R(263)+C11H14(276) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7224; RMG #269475 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C9H12R(18184)<=>C6H9R(285)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7225; RMG #279454 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18184)<=>C6H8(290)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7226; RMG #349319 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C9H12R(18184)<=>C6H11L(325)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7227; RMG #370713 -! Library reaction: restart_edge -! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C9H12R(18184)<=>C7H13R(330)+C9H11R(263) 1.547940e+12 0.025 0.000 - -! Reaction index: Chemkin #7228; RMG #409583 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C9H12R(18184)<=>CC(C)C(29484)+C9H11R(263) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7229; RMG #467736 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18184)<=>C6H8(18175)+C9H11R(263) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7230; RMG #524069 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C12H15(18406)<=>C9H11R(263)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7231; RMG #638035 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C11H13(18468)<=>C9H11R(263)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7232; RMG #653677 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18184), C9H11R(263); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C9H12R(18184)<=>C6H9R(1802)+C9H11R(263) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7233; RMG #680618 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18184), C9H11R(263); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H12R(18184)<=>C4H7L(36302)+C9H11R(263) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7234; RMG #716249 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18184), C9H11R(263); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18184)+C12H15(337)<=>C9H11R(263)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7235; RMG #723740 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C9H11R(263), C9H12R(18184); H(82), C9H12R(18184); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H11R(263)<=>C9H12R(18184) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #7236; RMG #724611 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H15(183), C10H14(184); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C10H15(183)+C12H15(337)<=>C10H14(184)+C12H16(18717) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #7237; RMG #724759 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C10H13(202), C10H12(201); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C10H13(202)+C12H15(337)<=>C10H12(201)+C12H16(18717) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7238; RMG #725461 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C11H15(18464), C11H14(246); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(18464)+C12H15(337)<=>C11H14(246)+C12H16(18717) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #7239; RMG #725725 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C12H15(18389), C12H14(257); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C12H15(18389)+C12H15(337)<=>C12H14(257)+C12H16(18717) 1.225854e+27 -4.376 11.307 - -! Reaction index: Chemkin #7240; RMG #726353 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C11H15(256), C11H14(271); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H15(256)+C12H15(337)<=>C11H14(271)+C12H16(18717) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #7241; RMG #728803 -! Template reaction: Disproportionation -! Flux pairs: C12H17(266), C12H16(18717); C12H15(337), C12H16(18380); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C12H15(337)+C12H17(266)<=>C12H16(18380)+C12H16(18717) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #7242; RMG #729421 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C11H17(238), C11H16(11281); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H17(238)+C12H15(337)<=>C11H16(11281)+C12H16(18717) 1.225854e+27 -4.376 10.059 - -! Reaction index: Chemkin #7243; RMG #729431 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C11H17(181), C11H16(11281); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C11H17(181)+C12H15(337)<=>C11H16(11281)+C12H16(18717) 1.225854e+27 -4.376 10.255 - -! Reaction index: Chemkin #7244; RMG #322092 -! Library reaction: restart_edge -! Flux pairs: C9H13(311), C9H13(26444); -! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Sp-7R!H=6R!H -C9H13(311)<=>C9H13(26444) 2.296220e+09 0.980 14.394 - -! Reaction index: Chemkin #7245; RMG #143499 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C3H5R(12), C9H12R(18180); C6H7(239), C9H12R(18180); -! Estimated using template [Cds-HH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsH;CsJ-(CdC)HH] -! Euclidian distance = 1.0 -! family: R_Addition_MultipleBond -C3H5R(12)+C6H7(239)<=>C9H12R(18180) 6.550000e+02 2.620 10.900 - -! Reaction index: Chemkin #7246; RMG #410558 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(65)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7247; RMG #410564 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(69)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7248; RMG #410570 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(66)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7249; RMG #410576 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(68)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7250; RMG #410582 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(72)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7251; RMG #410588 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(73)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7252; RMG #410594 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(71)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7253; RMG #410600 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(67)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7254; RMG #410606 -! Template reaction: Disproportionation -! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C9H17LR(70)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7255; RMG #410660 -! Template reaction: Disproportionation -! Flux pairs: C10H20R(64), RC10(2); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C10H20R(64)<=>C9H11R(18276)+RC10(2) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7256; RMG #410714 -! Template reaction: Disproportionation -! Flux pairs: C10H20L(76), LC10(3); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C10H20L(76)<=>C9H11R(18276)+LC10(3) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7257; RMG #410720 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4R(78), C3H5R(12); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C9H12R(18180)<=>C3H5R(12)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7258; RMG #410760 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)L(4), CC(C)L(13); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)L(4)+C9H12R(18180)<=>CC(C)L(13)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7259; RMG #410778 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C9H12R(18180)<=>CCCC(C)L(16)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7260; RMG #410802 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(171), C6H11R(17); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C9H12R(18180)<=>C6H11R(17)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7261; RMG #410848 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C3H5(102), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H5(102)+C9H12R(18180)<=>C3H6(18)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7262; RMG #410922 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)CR(6)+C9H12R(18180)<=>CC(C)CR(20)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7263; RMG #410992 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]R(14), CR(22); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]R(14)+C9H12R(18180)<=>CR(22)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7264; RMG #411028 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H14R(9), CC(C)CC(C)CR(23); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H14R(9)+C9H12R(18180)<=>CC(C)CC(C)CR(23)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7265; RMG #411040 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(89), C5H9L(24); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C9H12R(18180)<=>C5H9L(24)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7266; RMG #411098 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H12L(11), CC(C)CC(C)L(25); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H12L(11)+C9H12R(18180)<=>CC(C)CC(C)L(25)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7267; RMG #411116 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]L(8), CCL(26); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]L(8)+C9H12R(18180)<=>CCL(26)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7268; RMG #411122 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CR(10), CCCR(27); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C9H12R(18180)<=>CCCR(27)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7269; RMG #411152 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C9H12R(18180)<=>CCCC(C)CR(32)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7270; RMG #411176 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(90), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H12R(18180)<=>C6H11R(56)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7271; RMG #411194 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(171), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(171)+C9H12R(18180)<=>C6H11R(56)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7272; RMG #411228 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(77), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C9H12R(18180)<=>C5H9L(57)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7273; RMG #411240 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(89), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(89)+C9H12R(18180)<=>C5H9L(57)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7274; RMG #411274 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4R(78), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4R(78)+C9H12R(18180)<=>C3H5R(58)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7275; RMG #411308 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4L(147), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C3H4L(147)+C9H12R(18180)<=>C3H5L(59)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7276; RMG #411336 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(224), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H6R(224)+C9H12R(18180)<=>C4H7R(60)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7277; RMG #411342 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(79), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C9H12R(18180)<=>C4H7R(60)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7278; RMG #411370 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C8H14L(112), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H14L(112)+C9H12R(18180)<=>C8H15L(61)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7279; RMG #411440 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(108), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C9H12R(18180)<=>C7H13R(62)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7280; RMG #411492 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(103), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C9H12R(18180)<=>C6H11L(63)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7281; RMG #411532 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); CH3(74), C(75); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1 -CH3(74)+C9H12R(18180)<=>C(75)+C9H11R(18276) 1.150000e+13 -0.320 0.000 - -! Reaction index: Chemkin #7282; RMG #411538 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(79), C4H7R(81); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6R(79)+C9H12R(18180)<=>C4H7R(81)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7283; RMG #411566 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); H(82), [H][H](83); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H -! Multiplied by reaction path degeneracy 2.0 -H(82)+C9H12R(18180)<=>[H][H](83)+C9H11R(18276) 1.191692e+10 0.568 0.000 - -! Reaction index: Chemkin #7284; RMG #411572 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(77), C5H9L(84); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H8L(77)+C9H12R(18180)<=>C5H9L(84)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7285; RMG #411612 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4L(219), C3H5L(86); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C3H4L(219)+C9H12R(18180)<=>C3H5L(86)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7286; RMG #411658 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H15(85), CC(C)CC(C)C(87); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H15(85)+C9H12R(18180)<=>CC(C)CC(C)C(87)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7287; RMG #411720 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]C(94), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]C(94)+C9H12R(18180)<=>CCC(95)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7288; RMG #411726 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]CC(195), CCC(95); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C9H12R(18180)<=>CCC(95)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7289; RMG #411732 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(90), C6H11R(98); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C9H12R(18180)<=>C6H11R(98)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7290; RMG #411834 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(169), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C9H12R(18180)<=>C6H11L(107)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7291; RMG #411846 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(103), C6H11L(107); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(103)+C9H12R(18180)<=>C6H11L(107)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7292; RMG #411880 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(113), C6H10(110); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(113)+C9H12R(18180)<=>C6H10(110)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7293; RMG #411942 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(160), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C9H12R(18180)<=>C6H10(116)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7294; RMG #411948 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(114), C6H10(116); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C9H12R(18180)<=>C6H10(116)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7295; RMG #411982 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(199), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C9H12R(18180)<=>C7H13R(120)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7296; RMG #412000 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(108), C7H13R(120); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(108)+C9H12R(18180)<=>C7H13R(120)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7297; RMG #412028 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C4H7(156), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C4H7(156)+C9H12R(18180)<=>C4H8(157)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7298; RMG #412056 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H7(174), C5H8(173); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(174)+C9H12R(18180)<=>C5H8(173)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7299; RMG #412124 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H7(178), C5H8(180); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C5H7(178)+C9H12R(18180)<=>C5H8(180)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7300; RMG #412214 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(169), C6H11L(325); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10L(169)+C9H12R(18180)<=>C6H11L(325)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7301; RMG #412260 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)C(399), CC(C)C(29484); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]C(C)C(399)+C9H12R(18180)<=>CC(C)C(29484)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7302; RMG #412398 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H9L2(203), CC(L)CC(C)L(35); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C5H9L2(203)+C9H12R(18180)<=>CC(L)CC(C)L(35)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7303; RMG #412824 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C8H16L(15), C8H17L(49); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C9H12R(18180)<=>C8H17L(49)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7304; RMG #413188 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(123), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C9H12R(18180)<=>C6H8(118)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7305; RMG #413194 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18180)<=>C6H8(118)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7306; RMG #413250 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(123), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 4.0 -C6H7(123)+C9H12R(18180)<=>C6H8(125)+C9H11R(18276) 3.095872e+12 0.025 0.000 - -! Reaction index: Chemkin #7307; RMG #413504 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C5H5(189), C5H6(187); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 10.0 -C5H5(189)+C9H12R(18180)<=>C5H6(187)+C9H11R(18276) 7.739680e+12 0.025 0.000 - -! Reaction index: Chemkin #7308; RMG #414728 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H8R(287), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C9H12R(18180)<=>C6H9R(285)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7309; RMG #414860 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(290); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18180)<=>C6H8(290)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7310; RMG #415396 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(199), C7H13R(330); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C7H12R(199)+C9H12R(18180)<=>C7H13R(330)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7311; RMG #418986 -! Template reaction: Disproportionation -! Flux pairs: C10H13(202), C10H14(179); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C10H13(202)<=>C9H11R(18276)+C10H14(179) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7312; RMG #429327 -! Template reaction: Disproportionation -! Flux pairs: C11H15(234), C11H16(229); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C11H15(234)<=>C9H11R(18276)+C11H16(229) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7313; RMG #437007 -! Template reaction: Disproportionation -! Flux pairs: C12H15(323), C12H16(269); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C12H15(323)<=>C9H11R(18276)+C12H16(269) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7314; RMG #437891 -! Template reaction: Disproportionation -! Flux pairs: C11H13(298), C11H14(276); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C11H13(298)<=>C9H11R(18276)+C11H14(276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7315; RMG #469682 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(18175); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C9H12R(18180)<=>C6H8(18175)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7316; RMG #510360 -! Template reaction: Disproportionation -! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C12H15(18406)<=>C9H11R(18276)+C12H16(18680) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7317; RMG #643904 -! Template reaction: Disproportionation -! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C11H13(18468)<=>C9H11R(18276)+C11H14(18772) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7318; RMG #656490 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C6H8R(287), C6H9R(1802); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H8R(287)+C9H12R(18180)<=>C6H9R(1802)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7319; RMG #682544 -! Template reaction: Disproportionation -! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6L(1895), C4H7L(36302); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C9H12R(18180)<=>C4H7L(36302)+C9H11R(18276) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7320; RMG #719264 -! Template reaction: Disproportionation -! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18180), C9H11R(18276); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C9H12R(18180)+C12H15(337)<=>C9H11R(18276)+C12H16(18717) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7321; RMG #729745 -! Template reaction: R_Addition_MultipleBond -! Flux pairs: C9H11R(18276), C9H12R(18180); H(82), C9H12R(18180); -! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ -! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] -! Euclidian distance = 0 -! family: R_Addition_MultipleBond -H(82)+C9H11R(18276)<=>C9H12R(18180) 8.892000e+09 1.073 2.175 - -! Reaction index: Chemkin #7322; RMG #729742 -! Template reaction: Intra_R_Add_Endocyclic -! Flux pairs: C9H12R(18180), C9H12R(39454); -! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing -C9H12R(18180)<=>C9H12R(39454) 1.260000e+11 0.160 6.026 - -! Reaction index: Chemkin #7323; RMG #144700 -! Library reaction: restart_edge -! Flux pairs: C4H6R(224), C10H13R(18540); C6H7(239), C10H13R(18540); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -! Multiplied by reaction path degeneracy 2.0 -C4H6R(224)+C6H7(239)<=>C10H13R(18540) 3.535860e+16 -1.003 0.000 - -! Reaction index: Chemkin #7324; RMG #148266 -! Library reaction: restart_edge -! Flux pairs: C6H7(239), C12H16(18724); C6H9(161), C12H16(18724); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R -! Multiplied by reaction path degeneracy 2.0 -C6H7(239)+C6H9(161)<=>C12H16(18724) 6.962580e+13 -0.158 0.000 - -! Reaction index: Chemkin #7325; RMG #263175 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(65); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H12L(282)<=>C9H17LR(65)+C10H13L(22766) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #7326; RMG #263176 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(69); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H12L(282)<=>C9H17LR(69)+C10H13L(22766) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #7327; RMG #263177 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(66), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(66)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7328; RMG #263178 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(68), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(68)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7329; RMG #263179 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(72); -! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -RC10L(1)+C10H12L(282)<=>C9H17LR(72)+C10H13L(22766) 6.950000e-03 4.340 14.900 - -! Reaction index: Chemkin #7330; RMG #263180 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(73), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(73)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7331; RMG #263181 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(71), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(71)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7332; RMG #263182 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(67), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(67)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7333; RMG #263183 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(70), RC10L(1); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C9H17LR(70)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7334; RMG #263189 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C3H5R(12), C3H4R(78); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H5R(12)+C10H12L(282)<=>C3H4R(78)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7335; RMG #263199 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C3H6(18), C3H5(102); -! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs -! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 3.0 -! family: H_Abstraction -C3H6(18)+C10H12L(282)<=>C3H5(102)+C10H13L(22766) 2.691000e-03 4.340 14.300 - -! Reaction index: Chemkin #7336; RMG #263213 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]R(14), CR(22); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]R(14)+C10H13L(22766)<=>CR(22)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7337; RMG #263217 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]L(8), CCL(26); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]L(8)+C10H13L(22766)<=>CCL(26)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7338; RMG #263221 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CR(10), CCCR(27); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CR(10)+C10H13L(22766)<=>CCCR(27)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7339; RMG #263232 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H11R(56), C6H10R(90); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11R(56)+C10H12L(282)<=>C6H10R(90)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7340; RMG #263235 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C6H10R(171), C6H11R(56); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10R(171)+C10H13L(22766)<=>C6H11R(56)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7341; RMG #263247 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(57), C5H8L(77); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C5H9L(57)+C10H12L(282)<=>C5H8L(77)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7342; RMG #263249 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C5H8L(89), C5H9L(57); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H8L(89)+C10H13L(22766)<=>C5H9L(57)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7343; RMG #263259 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C3H4R(78), C3H5R(58); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C3H4R(78)+C10H13L(22766)<=>C3H5R(58)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7344; RMG #263268 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C3H4L(147), C3H5L(59); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C3H4L(147)+C10H13L(22766)<=>C3H5L(59)+C10H12L(282) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #7345; RMG #263277 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C4H6R(224), C4H7R(60); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C4H6R(224)+C10H13L(22766)<=>C4H7R(60)+C10H12L(282) 1.808000e-02 4.340 11.200 - -! Reaction index: Chemkin #7346; RMG #263278 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C4H7R(60), C4H6R(79); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H7R(60)+C10H12L(282)<=>C4H6R(79)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7347; RMG #263283 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C(75), CH3(74); -! From training reaction 830 used for C_methane;C_rad/H/CdCs -! Exact match found for rate rule [C_methane;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 4.0 -! family: H_Abstraction -C(75)+C10H12L(282)<=>CH3(74)+C10H13L(22766) 4.240000e-02 4.340 24.900 - -! Reaction index: Chemkin #7348; RMG #263288 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C4H6R(79), C4H7R(81); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C4H6R(79)+C10H13L(22766)<=>C4H7R(81)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7349; RMG #263298 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(84), C5H8L(77); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(84)+C10H12L(282)<=>C5H8L(77)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7350; RMG #263328 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H10(116), C6H9(160); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H12L(282)<=>C6H9(160)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7351; RMG #263329 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H10(116), C6H9(114); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10(116)+C10H12L(282)<=>C6H9(114)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7352; RMG #282291 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]C(C)L(4), CC(C)L(13); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)L(4)+C10H13L(22766)<=>CC(C)L(13)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7353; RMG #282319 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]C(C)CR(6), CC(C)CR(20); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]C(C)CR(6)+C10H13L(22766)<=>CC(C)CR(20)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7354; RMG #282505 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(62), C7H12R(108); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H13R(62)+C10H12L(282)<=>C7H12R(108)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7355; RMG #282536 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(63), C6H10L(103); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11L(63)+C10H12L(282)<=>C6H10L(103)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7356; RMG #282648 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(107), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(107)+C10H12L(282)<=>C6H10L(169)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7357; RMG #282650 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C6H10L(103), C6H11L(107); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H10L(103)+C10H13L(22766)<=>C6H11L(107)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7358; RMG #283051 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(24), C5H8L(89); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C5H9L(24)+C10H12L(282)<=>C5H8L(89)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7359; RMG #283065 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C6H12L(11), CC(C)CC(C)L(25); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H12L(11)+C10H13L(22766)<=>CC(C)CC(C)L(25)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7360; RMG #283412 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); CCC(95), C[CH]C(94); -! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs -! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -CCC(95)+C10H12L(282)<=>C[CH]C(94)+C10H13L(22766) 1.476000e-02 4.340 18.000 - -! Reaction index: Chemkin #7361; RMG #283413 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]CC(195), CCC(95); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -[CH2]CC(195)+C10H13L(22766)<=>CCC(95)+C10H12L(282) 1.806000e-03 4.340 3.500 - -! Reaction index: Chemkin #7362; RMG #283428 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H11R(98), C6H10R(90); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C6H11R(98)+C10H12L(282)<=>C6H10R(90)+C10H13L(22766) 4.580000e-03 4.340 11.700 - -! Reaction index: Chemkin #7363; RMG #283682 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(120), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(120)+C10H12L(282)<=>C7H12R(199)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7364; RMG #283685 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C7H12R(108), C7H13R(120); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C7H12R(108)+C10H13L(22766)<=>C7H13R(120)+C10H12L(282) 9.040000e-03 4.340 11.200 - -! Reaction index: Chemkin #7365; RMG #352687 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CC(C)L(7), CCCC(C)L(16); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)L(7)+C10H13L(22766)<=>CCCC(C)L(16)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7366; RMG #354002 -! Template reaction: H_Abstraction -! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CC(C)CR(5), CCCC(C)CR(32); -! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC] -! Euclidian distance = 0 -! Multiplied by reaction path degeneracy 2.0 -! family: H_Abstraction -C[CH]CC(C)CR(5)+C10H13L(22766)<=>CCCC(C)CR(32)+C10H12L(282) 1.706000e-03 4.340 3.100 - -! Reaction index: Chemkin #7367; RMG #368054 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(325), C6H10L(169); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C6H11L(325)+C10H12L(282)<=>C6H10L(169)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7368; RMG #380530 -! Template reaction: H_Abstraction -! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(330), C7H12R(199); -! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs -! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs] -! Euclidian distance = 0 -! family: H_Abstraction -C7H13R(330)+C10H12L(282)<=>C7H12R(199)+C10H13L(22766) 1.150000e-03 4.340 9.300 - -! Reaction index: Chemkin #7369; RMG #668687 -! Template reaction: R_Recombination -! Flux pairs: C4H6L(1895), C10H13L(22766); C6H7(239), C10H13L(22766); -! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R -C4H6L(1895)+C6H7(239)<=>C10H13L(22766) 1.767930e+16 -1.003 0.000 - -! Reaction index: Chemkin #7370; RMG #738699 -! Template reaction: R_Recombination -! Flux pairs: C10H12L(282), C10H13L(22766); H(82), C10H13L(22766); -! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R -H(82)+C10H12L(282)<=>C10H13L(22766) 2.000000e+13 0.000 0.000 - -! Reaction index: Chemkin #7371; RMG #738897 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CR(10), C3H5R(12); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CR(10)+C10H12L(282)<=>C3H5R(12)+C10H13L(22766) 1.225854e+27 -4.376 6.844 - -! Reaction index: Chemkin #7372; RMG #738993 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)CR(5), C6H11R(17); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)CR(5)+C10H12L(282)<=>C6H11R(17)+C10H13L(22766) 1.225854e+27 -4.376 6.661 - -! Reaction index: Chemkin #7373; RMG #739020 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]CC(195), C3H6(18); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C -! Multiplied by reaction path degeneracy 2.0 -[CH2]CC(195)+C10H12L(282)<=>C3H6(18)+C10H13L(22766) 2.105300e+14 -0.550 0.000 - -! Reaction index: Chemkin #7374; RMG #739029 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]C(94), C3H6(18); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 6.0 -C[CH]C(94)+C10H12L(282)<=>C3H6(18)+C10H13L(22766) 2.451708e+27 -4.376 6.742 - -! Reaction index: Chemkin #7375; RMG #739050 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]L(8), C2H3L(19); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]L(8)+C10H12L(282)<=>C2H3L(19)+C10H13L(22766) 1.225854e+27 -4.376 6.844 - -! Reaction index: Chemkin #7376; RMG #739143 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C8H16L(15), C8H15L(21); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C8H16L(15)+C10H12L(282)<=>C8H15L(21)+C10H13L(22766) 1.225854e+27 -4.376 6.661 - -! Reaction index: Chemkin #7377; RMG #739233 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)L(7), C5H9L(24); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C[CH]CC(C)L(7)+C10H12L(282)<=>C5H9L(24)+C10H13L(22766) 1.225854e+27 -4.376 6.661 - -! Reaction index: Chemkin #7378; RMG #739392 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)CR(5), C6H11R(56); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)CR(5)+C10H12L(282)<=>C6H11R(56)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7379; RMG #739440 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)L(7), C5H9L(57); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CC(C)L(7)+C10H12L(282)<=>C5H9L(57)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7380; RMG #739485 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CR(10), C3H5R(58); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C[CH]CR(10)+C10H12L(282)<=>C3H5R(58)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7381; RMG #739506 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)L(4), C3H5L(59); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)L(4)+C10H12L(282)<=>C3H5L(59)+C10H13L(22766) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7382; RMG #739542 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)CR(6), C4H7R(60); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)CR(6)+C10H12L(282)<=>C4H7R(60)+C10H13L(22766) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7383; RMG #739608 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C8H16L(15), C8H15L(61); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C8H16L(15)+C10H12L(282)<=>C8H15L(61)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7384; RMG #739662 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C7H14R(9), C7H13R(62); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C7H14R(9)+C10H12L(282)<=>C7H13R(62)+C10H13L(22766) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7385; RMG #739710 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C6H12L(11), C6H11L(63); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C6H12L(11)+C10H12L(282)<=>C6H11L(63)+C10H13L(22766) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7386; RMG #739917 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C4H6L(1895), C4H5L(91); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C4H6L(1895)+C10H12L(282)<=>C4H5L(91)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -! Reaction index: Chemkin #7387; RMG #740241 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(114), C6H8(118); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H12L(282)<=>C6H8(118)+C10H13L(22766) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7388; RMG #740355 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(114), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 2.0 -C6H9(114)+C10H12L(282)<=>C6H8(125)+C10H13L(22766) 1.350000e+03 2.700 0.000 - -! Reaction index: Chemkin #7389; RMG #740364 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(160), C6H8(125); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing -! Multiplied by reaction path degeneracy 4.0 -C6H9(160)+C10H12L(282)<=>C6H8(125)+C10H13L(22766) 2.700000e+03 2.700 0.000 - -! Reaction index: Chemkin #7390; RMG #740394 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)C(399), C4H8(157); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -[CH2]C(C)C(399)+C10H12L(282)<=>C4H8(157)+C10H13L(22766) 5.258140e+13 -0.550 0.000 - -! Reaction index: Chemkin #7391; RMG #740562 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C5H8L(89), C5H7L(262); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R -C5H8L(89)+C10H12L(282)<=>C5H7L(262)+C10H13L(22766) 5.258140e+13 -0.550 0.477 - -! Reaction index: Chemkin #7392; RMG #740589 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C5H8L(77), C5H7L(262); -! Estimated from node Root_Ext-2R!H-R_2R!H->C -! Multiplied by reaction path degeneracy 3.0 -C5H8L(77)+C10H12L(282)<=>C5H7L(262)+C10H13L(22766) 1.225854e+27 -4.376 9.310 - -! Reaction index: Chemkin #7393; RMG #740655 -! Template reaction: Disproportionation -! Flux pairs: C10H12L(282), C10H13L(22766); C6H10R(90), C6H9R(285); -! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- -! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C -! Multiplied by reaction path degeneracy 2.0 -C6H10R(90)+C10H12L(282)<=>C6H9R(285)+C10H13L(22766) 1.547936e+12 0.025 0.000 - -END - diff --git a/ipython/data/fragment/chem_annotated.inp b/ipython/data/fragment/chem_annotated.inp new file mode 100644 index 00000000000..2745eda6476 --- /dev/null +++ b/ipython/data/fragment/chem_annotated.inp @@ -0,0 +1,2584 @@ +ELEMENTS + H + D /2.014/ + T /3.016/ + C + CI /13.003/ + O + OI /17.999/ + N + Ne + Ar + He + Si + S + F + Cl + Br + I + X /195.083/ +END + +SPECIES + Ar ! Ar + He ! He + Ne ! Ne + N2 ! N2 + RC10L(1) ! RC10L(1) + RC10(2) ! RC10(2) + LC10(3) ! LC10(3) + [CH2]C(C)CR(4) ! [CH2]C(C)CR(4) + C[CH]CC(C)L(5) ! C[CH]CC(C)L(5) + C[CH]CC(C)CR(6) ! C[CH]CC(C)CR(6) + [CH2]C(C)L(7) ! [CH2]C(C)L(7) + C8H15LR(8) ! CC(L)C[CH]CC(C)CR(8) + [CH3](9) ! [CH3](9) + C9H17LR(10) ! C[C](CC(C)L)CC(C)CR(10) + [H](11) ! [H](11) + C[CH]CR(12) ! C[CH]CR(12) + C6H12L(13) ! [CH2]C(C)CC(C)L(13) + C8H15LR(14) ! CC(L)CC(C)C[CH]CR(14) + [CH2]R(15) ! [CH2]R(15) + C8H16L(16) ! C[CH]CC(C)CC(C)L(16) + C9H17LR(17) ! C[C](CR)CC(C)CC(C)L(17) + C9H17LR(18) ! CC(L)CC(C)[CH]C(C)CR(18) + C7H14R(19) ! [CH2]C(C)CC(C)CR(19) + C[CH]L(20) ! C[CH]L(20) + C9H17LR(21) ! CC(L)[CH]C(C)CC(C)CR(21) + C8H15LR(22) ! CC(CR)CC(C)C[CH]L(22) + C9H17LR(23) ! C[C](L)CC(C)CC(C)CR(23) + C9H17LR(24) ! [CH2]C(CC(C)L)CC(C)CR(24) + C9H17LR(25) ! [CH2]C(CR)CC(C)CC(C)L(25) + C9H17LR(26) ! CC(L)CC(C)CC(C)[CH]R(26) + C9H17LR(27) ! [CH2]C(L)CC(C)CC(C)CR(27) + C6H11R(62) ! CC=CC(C)CR(62) + C6H11R(63) ! C=CCC(C)CR(63) + C3H6(64) ! C=CC(64) + C3H5L(65) ! C=C(C)L(65) + C2H3L(66) ! C=CL(66) + C4H7R(71) ! C=C(C)CR(71) + C3H5R(72) ! C=CCR(72) + C5H9L(73) ! CC=CC(C)L(73) + C5H9L(74) ! C=CCC(C)L(74) + C3H5R(83) ! CC=CR(83) + C6H11L(84) ! C=C(C)CC(C)L(84) + C7H13R(97) ! C=C(C)CC(C)CR(97) + C8H15L(111) ! C=CCC(C)CC(C)L(111) + C8H14LR(150) ! CC(L)CC(C)CC=CR(150) + C8H14LR(164) ! CC(L)CC=CC(C)CR(164) + C8H14LR(165) ! CC(L)C=CCC(C)CR(165) + [H][H](325) ! [H][H](325) +END + + + +THERM ALL + 300.000 1000.000 5000.000 + +! Thermo library: primaryThermoLibrary +Ar Ar 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4 + +! Thermo library: primaryThermoLibrary +He He 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4 + +! Thermo library: primaryThermoLibrary +Ne Ne 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4 + +! Thermo library: primaryThermoLibrary +N2 N 2 G 200.000 6000.000 1000.00 1 + 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2 +-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3 + 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) +RC10L(1) C 9H 18 G 100.000 5000.000 1475.26 1 + 7.59527265E+01 2.20398857E-01-9.14166768E-05 1.66861440E-08-1.13498798E-12 2 +-8.62393442E+04-3.30152007E+02-1.93244603E+01 4.78730632E-01-3.54079131E-04 3 + 1.35382025E-07-2.12492715E-11-5.81274564E+04 1.66552930E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +RC10(2) C 10H 21 G 100.000 5000.000 1541.53 1 + 5.25819489E+01 1.41559382E-01-5.75049202E-05 1.03543459E-08-6.97198657E-13 2 +-6.81216300E+04-2.27869819E+02-1.12586918E+01 3.07216223E-01-2.18700371E-04 3 + 8.00673293E-08-1.20031165E-11-4.84393645E+04 1.07752422E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +LC10(3) C 10H 21 G 100.000 5000.000 1541.53 1 + 5.25819489E+01 1.41559382E-01-5.75049202E-05 1.03543459E-08-6.97198657E-13 2 +-6.81216300E+04-2.27869819E+02-1.12586918E+01 3.07216223E-01-2.18700371E-04 3 + 8.00673293E-08-1.20031165E-11-4.84393645E+04 1.07752422E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- +! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) +[CH2]C(C)CR(4) C 4H 8 G 100.000 5000.000 1519.89 1 + 3.92971374E+01 1.00629610E-01-4.00343235E-05 7.13856904E-09-4.78397325E-13 2 +-2.03296429E+04-1.61023714E+02-7.18966086E+00 2.22972289E-01-1.60776111E-04 3 + 6.00993889E-08-9.18969923E-12-6.19869573E+03 8.27092992E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC) +C[CH]CC(C)L(5) C 5H 10 G 100.000 5000.000 1528.47 1 + 3.66312420E+01 1.15381069E-01-4.77500008E-05 8.67439859E-09-5.87080927E-13 2 +-2.33093871E+04-1.43929727E+02-7.07661102E+00 2.29762918E-01-1.59999915E-04 3 + 5.76333835E-08-8.59482270E-12-9.94799145E+03 8.54797554E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + +! radical(RCCJC) +C[CH]CC(C)CR(6) C 6H 12 G 100.000 5000.000 1504.79 1 + 3.73110913E+01 1.24090851E-01-5.16915187E-05 9.42937394E-09-6.40146335E-13 2 +-2.63152347E+04-1.45476937E+02-7.63102161E+00 2.43555478E-01-1.70776350E-04 3 + 6.21877044E-08-9.40524700E-12-1.27896009E+04 8.97083427E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) +[CH2]C(C)L(7) C 3H 6 G 100.000 5000.000 1541.84 1 + 3.85264346E+01 9.20736962E-02-3.61811961E-05 6.40440071E-09-4.27052486E-13 2 +-1.72857330E+04-1.58965096E+02-6.64458457E+00 2.09262089E-01-1.50190573E-04 3 + 5.57006673E-08-8.42021705E-12-3.35656520E+03 7.85165315E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + +! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) +C8H15LR(8) C 8H 15 G 100.000 5000.000 1423.28 1 + 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2 +-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3 + 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4 + +! Thermo library: DFT_QCI_thermo +[CH3](9) C 1H 3 G 100.000 5000.000 660.43 1 + 3.22169619E+00 5.22645935E-03-1.64124747E-06 2.58224223E-10-1.62579069E-14 2 + 1.65213098E+04 3.53937882E+00 3.94800601E+00 8.27585327E-04 8.34937170E-06 3 +-9.82642428E-09 3.80107815E-12 1.64253714E+04 3.36651000E-01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) +C9H17LR(10) C 9H 17 G 100.000 5000.000 1391.83 1 + 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2 +-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3 + 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4 + +! Thermo library: primaryThermoLibrary +[H](11) H 1 G 100.000 5000.000 4879.80 1 + 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2 + 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3 +-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + +! radical(RCCJC) +C[CH]CR(12) C 3H 6 G 100.000 5000.000 1547.64 1 + 3.27302891E+01 1.02317768E-01-4.24205778E-05 7.70581989E-09-5.21142104E-13 2 +-1.58940257E+04-1.25870970E+02-5.70657287E+00 2.01658288E-01-1.38700604E-04 3 + 4.91786288E-08-7.22032709E-12-3.99642449E+03 7.63522683E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds- +! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) +C6H12L(13) C 6H 12 G 100.000 5000.000 1508.31 1 + 4.32997841E+01 1.13536220E-01-4.52795639E-05 8.08827093E-09-5.42830794E-13 2 +-2.77937839E+04-1.79666230E+02-8.55761506E+00 2.51060901E-01-1.82046723E-04 3 + 6.85388536E-08-1.05624317E-11-1.21503963E+04 9.18285444E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) +C8H15LR(14) C 8H 15 G 100.000 5000.000 1423.28 1 + 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2 +-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3 + 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ) +[CH2]R(15) C 1H 2 G 100.000 5000.000 1624.67 1 + 3.64342628E+01 7.74271969E-02-3.08292238E-05 5.47405194E-09-3.64442149E-13 2 +-1.05305196E+04-1.52030890E+02-5.26003466E+00 1.80079407E-01-1.25603661E-04 3 + 4.43634844E-08-6.34860309E-12 3.01747467E+03 6.93547392E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + +! radical(RCCJC) +C8H16L(16) C 8H 16 G 100.000 5000.000 1494.00 1 + 4.12792903E+01 1.37057210E-01-5.69716242E-05 1.03873719E-08-7.05271154E-13 2 +-3.37654895E+04-1.63926569E+02-9.00332728E+00 2.71682854E-01-1.92138095E-04 3 + 7.07026920E-08-1.07982083E-11-1.87410614E+04 9.88442472E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) +C9H17LR(17) C 9H 17 G 100.000 5000.000 1391.83 1 + 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2 +-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3 + 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) +C9H17LR(18) C 9H 17 G 100.000 5000.000 1460.63 1 + 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2 +-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3 + 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds- +! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl) +C7H14R(19) C 7H 14 G 100.000 5000.000 1490.65 1 + 4.40905342E+01 1.22073944E-01-4.91281613E-05 8.82232750E-09-5.94222892E-13 2 +-3.08523513E+04-1.81849180E+02-9.10945862E+00 2.64833411E-01-1.92786068E-04 3 + 7.30721050E-08-1.13699105E-11-1.49921675E+04 9.60470150E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC) +C[CH]L(20) C 2H 4 G 100.000 5000.000 1579.28 1 + 3.21216796E+01 9.35183728E-02-3.84391970E-05 6.94332967E-09-4.67565700E-13 2 +-1.29304013E+04-1.24747436E+02-5.16084017E+00 1.87946471E-01-1.28125990E-04 3 + 4.48026861E-08-6.46063403E-12-1.15436170E+03 7.21565463E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) +C9H17LR(21) C 9H 17 G 100.000 5000.000 1460.63 1 + 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2 +-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3 + 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC) +C8H15LR(22) C 8H 15 G 100.000 5000.000 1423.28 1 + 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2 +-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3 + 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl) +C9H17LR(23) C 9H 17 G 100.000 5000.000 1391.83 1 + 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2 +-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3 + 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) +C9H17LR(24) C 9H 17 G 100.000 5000.000 1430.10 1 + 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2 +-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3 + 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) +C9H17LR(25) C 9H 17 G 100.000 5000.000 1430.10 1 + 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2 +-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3 + 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S) +C9H17LR(26) C 9H 17 G 100.000 5000.000 1460.63 1 + 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2 +-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3 + 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl) +C9H17LR(27) C 9H 17 G 100.000 5000.000 1430.10 1 + 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2 +-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3 + 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + +! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- +! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +C6H11R(62) C 6H 11 G 100.000 5000.000 1573.71 1 + 4.44612679E+01 1.10025127E-01-4.45886531E-05 8.00876631E-09-5.37868282E-13 2 +-3.95104387E+04-1.88881337E+02-8.23868402E+00 2.43974906E-01-1.72263413E-04 3 + 6.20948558E-08-9.12992986E-12-2.29234166E+04 8.92619424E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- +! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C6H11R(63) C 6H 11 G 100.000 5000.000 1578.25 1 + 4.59273942E+01 1.07895491E-01-4.34622377E-05 7.78257137E-09-5.21702119E-13 2 +-3.83265635E+04-1.96693498E+02-8.43352653E+00 2.45669303E-01-1.74403890E-04 3 + 6.30929252E-08-9.28295722E-12-2.11673681E+04 9.03728539E+01 4 + +! Thermo library: DFT_QCI_thermo +C3H6(64) C 3H 6 G 100.000 5000.000 983.76 1 + 5.36759614E+00 1.70742261E-02-6.35103242E-06 1.16618492E-09-8.27611661E-14 2 +-4.87156906E+02-4.54492517E+00 3.31910941E+00 8.17972674E-03 3.34731098E-05 3 +-4.36187016E-08 1.58210466E-11 7.49325825E+02 9.54029198E+00 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + +! group(Cds-CdsHH) +C3H5L(65) C 3H 5 G 100.000 5000.000 1574.44 1 + 3.87517154E+01 9.03517290E-02-3.64895374E-05 6.54422913E-09-4.39155717E-13 2 +-2.80190418E+04-1.63108661E+02-6.34472110E+00 2.04923426E-01-1.45644562E-04 3 + 5.27639799E-08-7.77825453E-12-1.38187557E+04 7.49247053E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C2H3L(66) C 2H 3 G 100.000 5000.000 1653.47 1 + 4.07472984E+01 7.74274736E-02-3.03141993E-05 5.32810523E-09-3.52143688E-13 2 +-2.45919534E+04-1.76104865E+02-6.01948094E+00 1.90563656E-01-1.32949521E-04 3 + 4.67099316E-08-6.60896467E-12-9.12647378E+03 7.30356660E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) + group(Cds-CdsHH) +C4H7R(71) C 4H 7 G 100.000 5000.000 1549.92 1 + 3.94537374E+01 9.90023581E-02-4.03890136E-05 7.28801432E-09-4.91219520E-13 2 +-3.10255334E+04-1.64764885E+02-6.88564511E+00 2.18594304E-01-1.56129389E-04 3 + 5.70715027E-08-8.52124697E-12-1.66610987E+04 7.91018156E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + +! group(Cds-CdsHH) +C3H5R(72) C 3H 5 G 100.000 5000.000 1625.44 1 + 4.13862705E+01 8.61337492E-02-3.42268985E-05 6.07203761E-09-4.04046807E-13 2 +-2.75511245E+04-1.77368501E+02-6.54350498E+00 2.04082909E-01-1.43073676E-04 3 + 5.07150799E-08-7.27035444E-12-1.19697442E+04 7.71481717E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + +! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs- +! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- +! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +C5H9L(73) C 5H 9 G 100.000 5000.000 1596.57 1 + 4.37876098E+01 1.01341724E-01-4.06760002E-05 7.26278061E-09-4.85675394E-13 2 +-3.65219957E+04-1.87395970E+02-7.70226593E+00 2.30345109E-01-1.61878518E-04 3 + 5.78731671E-08-8.41066926E-12-2.00808315E+04 8.51019874E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C5H9L(74) C 5H 9 G 100.000 5000.000 1600.37 1 + 4.52410425E+01 9.92345921E-02-3.95628677E-05 7.03976654E-09-4.69775321E-13 2 +-3.53332330E+04-1.95137432E+02-7.89885179E+00 2.32054786E-01-1.64054110E-04 3 + 5.88995829E-08-8.57106973E-12-1.83246846E+04 8.62196012E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsHH) +C3H5R(83) C 3H 5 G 100.000 5000.000 1622.82 1 + 3.96066557E+01 8.88863736E-02-3.57371619E-05 6.37743093E-09-4.25855325E-13 2 +-2.83510858E+04-1.67856510E+02-6.28922015E+00 2.02012181E-01-1.40300873E-04 3 + 4.93328310E-08-7.04323137E-12-1.34548815E+04 7.57859249E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C6H11L(84) C 6H 11 G 100.000 5000.000 1534.15 1 + 4.34034160E+01 1.11985713E-01-4.56734843E-05 8.24616922E-09-5.56305774E-13 2 +-3.88648973E+04-1.83099788E+02-8.25204974E+00 2.46667339E-01-1.77357083E-04 3 + 6.54694174E-08-9.88121457E-12-2.30154472E+04 8.82153104E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs- +! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs- +! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds- +! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C7H13R(97) C 7H 13 G 100.000 5000.000 1514.67 1 + 4.41409116E+01 1.20598345E-01-4.95593696E-05 8.98807649E-09-6.08292176E-13 2 +-4.18950910E+04-1.84971837E+02-8.80080202E+00 2.60410006E-01-1.88018010E-04 3 + 6.99297270E-08-1.06669406E-11-2.58573727E+04 9.24221816E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C8H15L(111) C 8H 15 G 100.000 5000.000 1561.44 1 + 4.98473061E+01 1.20915231E-01-4.87623922E-05 8.74358294E-09-5.86975445E-13 2 +-4.57452467E+04-2.14850577E+02-9.79589225E+00 2.73705180E-01-1.95540038E-04 3 + 7.14111061E-08-1.06205668E-11-2.71193561E+04 9.94710061E+01 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs- +! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +! + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds- +! CdsHH) + group(Cds-CdsHH) +C8H14LR(150) C 8H 14 G 100.000 5000.000 1490.73 1 + 7.52218400E+01 2.05970078E-01-8.51480111E-05 1.55110364E-08-1.05344838E-12 2 +-6.93165308E+04-3.27177092E+02-1.84676554E+01 4.57366169E-01-3.38111248E-04 3 + 1.28639993E-07-2.00258111E-11-4.13838084E+04 1.62226161E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + +! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C8H14LR(164) C 8H 14 G 100.000 5000.000 1491.31 1 + 7.55987905E+01 2.05240558E-01-8.47033752E-05 1.54176021E-08-1.04663355E-12 2 +-7.01299116E+04-3.29234795E+02-1.85211475E+01 4.57690681E-01-3.38625655E-04 3 + 1.28930056E-07-2.00757001E-11-4.20576331E+04 1.62454586E+02 4 + +! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + +! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + +! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + +! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + +! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + +! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + +! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +C8H14LR(165) C 8H 14 G 100.000 5000.000 1491.31 1 + 7.55987905E+01 2.05240558E-01-8.47033752E-05 1.54176021E-08-1.04663355E-12 2 +-7.01299116E+04-3.29234795E+02-1.85211475E+01 4.57690681E-01-3.38625655E-04 3 + 1.28930056E-07-2.00757001E-11-4.20576331E+04 1.62454586E+02 4 + +! Thermo library: primaryThermoLibrary +[H][H](325) H 2 G 100.000 5000.000 1959.07 1 + 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2 +-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3 + 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +! Reaction index: Chemkin #1; RMG #2 +! Template reaction: R_Recombination +! Flux pairs: C[CH]CC(C)CR(6), RC10L(1); [CH2]C(C)L(7), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH2]C(C)L(7)+C[CH]CC(C)CR(6)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #2; RMG #1 +! Template reaction: R_Recombination +! Flux pairs: [CH2]C(C)CR(4), RC10L(1); C[CH]CC(C)L(5), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH2]C(C)CR(4)+C[CH]CC(C)L(5)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #3; RMG #5 +! Template reaction: R_Recombination +! Flux pairs: C[CH]CR(12), RC10L(1); C6H12L(13), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +C[CH]CR(12)+C6H12L(13)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #4; RMG #10 +! Template reaction: R_Recombination +! Flux pairs: C7H14R(19), RC10L(1); C[CH]L(20), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +C[CH]L(20)+C7H14R(19)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #5; RMG #7 +! Template reaction: R_Recombination +! Flux pairs: [CH2]R(15), RC10L(1); C8H16L(16), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH2]R(15)+C8H16L(16)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #6; RMG #12 +! Template reaction: R_Recombination +! Flux pairs: C8H15LR(22), RC10L(1); [CH3](9), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH3](9)+C8H15LR(22)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #7; RMG #6 +! Template reaction: R_Recombination +! Flux pairs: C8H15LR(14), RC10L(1); [CH3](9), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH3](9)+C8H15LR(14)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #8; RMG #3 +! Template reaction: R_Recombination +! Flux pairs: C8H15LR(8), RC10L(1); [CH3](9), RC10L(1); +! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination. +[CH3](9)+C8H15LR(8)<=>RC10L(1) 3.481290e+13 -0.158 0.000 + +! Reaction index: Chemkin #9; RMG #54 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), C[CH]CC(C)CR(6); C[CH]CR(12), C[CH]CC(C)CR(6); +! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H6(64)+C[CH]CR(12)<=>C[CH]CC(C)CR(6) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #10; RMG #120 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), [CH2]C(C)CR(4); [CH2]R(15), [CH2]C(C)CR(4); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]R(15)+C3H6(64)<=>[CH2]C(C)CR(4) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #11; RMG #124 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), C[CH]CC(C)L(5); C[CH]L(20), C[CH]CC(C)L(5); +! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C[CH]L(20)+C3H6(64)<=>C[CH]CC(C)L(5) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #12; RMG #206 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), C6H12L(13); [CH2]C(C)L(7), C6H12L(13); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H6(64)+[CH2]C(C)L(7)<=>C6H12L(13) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #13; RMG #303 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), C7H14R(19); [CH2]C(C)CR(4), C7H14R(19); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H6(64)+[CH2]C(C)CR(4)<=>C7H14R(19) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #14; RMG #410 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H6(64), C8H16L(16); C[CH]CC(C)L(5), C8H16L(16); +! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H6(64)+C[CH]CC(C)L(5)<=>C8H16L(16) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #15; RMG #207 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C5H9L(74), C6H12L(13); [CH3](9), C6H12L(13); +! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C5H9L(74)<=>C6H12L(13) 1.580000e+02 2.966 6.337 + +! Reaction index: Chemkin #16; RMG #725 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C5H9L(74), C8H15LR(8); C[CH]CR(12), C8H15LR(8); +! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C[CH]CR(12)+C5H9L(74)<=>C8H15LR(8) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #17; RMG #304 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11R(63), C7H14R(19); [CH3](9), C7H14R(19); +! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C6H11R(63)<=>C7H14R(19) 1.580000e+02 2.966 6.337 + +! Reaction index: Chemkin #18; RMG #726 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11R(63), C8H15LR(8); C[CH]L(20), C8H15LR(8); +! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C[CH]L(20)+C6H11R(63)<=>C8H15LR(8) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #19; RMG #56 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H3L(66), [CH2]C(C)L(7); [CH3](9), [CH2]C(C)L(7); +! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C2H3L(66)<=>[CH2]C(C)L(7) 1.580000e+02 2.966 6.337 + +! Reaction index: Chemkin #20; RMG #526 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H3L(66), C8H15LR(22); C[CH]CC(C)CR(6), C8H15LR(22); +! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C2H3L(66)+C[CH]CC(C)CR(6)<=>C8H15LR(22) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #21; RMG #121 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H5R(72), [CH2]C(C)CR(4); [CH3](9), [CH2]C(C)CR(4); +! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C3H5R(72)<=>[CH2]C(C)CR(4) 1.580000e+02 2.966 6.337 + +! Reaction index: Chemkin #22; RMG #643 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H5R(72), C8H15LR(14); C[CH]CC(C)L(5), C8H15LR(14); +! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H5R(72)+C[CH]CC(C)L(5)<=>C8H15LR(14) 1.710000e+03 2.410 3.550 + +! Reaction index: Chemkin #23; RMG #53 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11R(63), C[CH]CC(C)CR(6); [H](11), C[CH]CC(C)CR(6); +! From training reaction 9 used for Cds-HH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C6H11R(63)<=>C[CH]CC(C)CR(6) 3.360000e+08 1.560 0.600 + +! Reaction index: Chemkin #24; RMG #123 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C5H9L(74), C[CH]CC(C)L(5); [H](11), C[CH]CC(C)L(5); +! From training reaction 9 used for Cds-HH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C5H9L(74)<=>C[CH]CC(C)L(5) 3.360000e+08 1.560 0.600 + +! Reaction index: Chemkin #25; RMG #204 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H5R(72), C[CH]CR(12); [H](11), C[CH]CR(12); +! From training reaction 9 used for Cds-HH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C3H5R(72)<=>C[CH]CR(12) 3.360000e+08 1.560 0.600 + +! Reaction index: Chemkin #26; RMG #305 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H3L(66), C[CH]L(20); [H](11), C[CH]L(20); +! From training reaction 9 used for Cds-HH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C2H3L(66)<=>C[CH]L(20) 3.360000e+08 1.560 0.600 + +! Reaction index: Chemkin #27; RMG #203 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H5R(83), C[CH]CR(12); [H](11), C[CH]CR(12); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C3H5R(83)<=>C[CH]CR(12) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #28; RMG #1720 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CR(12), C3H5R(83); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C[CH]CR(12)<=>[H][H](325)+C3H5R(83) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #29; RMG #1721 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CR(12), C3H5R(72); [H](11), [H][H](325); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +[H](11)+C[CH]CR(12)<=>[H][H](325)+C3H5R(72) 1.225854e+27 -4.376 3.356 + +! Reaction index: Chemkin #30; RMG #1724 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CC(C)CR(6), C6H11R(63); [H](11), [H][H](325); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +[H](11)+C[CH]CC(C)CR(6)<=>[H][H](325)+C6H11R(63) 1.225854e+27 -4.376 3.239 + +! Reaction index: Chemkin #31; RMG #1731 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CC(C)L(5), C5H9L(74); [H](11), [H][H](325); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +[H](11)+C[CH]CC(C)L(5)<=>[H][H](325)+C5H9L(74) 1.225854e+27 -4.376 3.239 + +! Reaction index: Chemkin #32; RMG #1735 +! Template reaction: Disproportionation +! Flux pairs: C[CH]L(20), C2H3L(66); [H](11), [H][H](325); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +[H](11)+C[CH]L(20)<=>[H][H](325)+C2H3L(66) 1.225854e+27 -4.376 3.356 + +! Reaction index: Chemkin #33; RMG #1775 +! Template reaction: R_Recombination +! Flux pairs: [H](11), [H][H](325); [H](11), [H][H](325); +! Matched reaction 56 H + H <=> H2 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H] +! family: R_Recombination +[H](11)+[H](11)<=>[H][H](325) 5.450000e+10 0.000 1.500 + +! Reaction index: Chemkin #34; RMG #55 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C3H5L(65), [CH2]C(C)L(7); [H](11), [CH2]C(C)L(7); +! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ +! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C3H5L(65)<=>[CH2]C(C)L(7) 5.075183e+03 2.822 -1.156 + +! Reaction index: Chemkin #35; RMG #1728 +! Template reaction: Disproportionation +! Flux pairs: [CH2]C(C)L(7), C3H5L(65); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation. +[H](11)+[CH2]C(C)L(7)<=>[H][H](325)+C3H5L(65) 4.559710e+12 -0.222 0.000 + +! Reaction index: Chemkin #36; RMG #13 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(23), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(23)<=>RC10L(1) 1.625980e+13 0.255 0.000 + +! Reaction index: Chemkin #37; RMG #956 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(23)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #38; RMG #1142 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(23)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #39; RMG #1359 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(23)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #40; RMG #1516 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(23)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #41; RMG #1695 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(23); +! From training reaction 952 used for C/H/Cs3;H_rad +! Exact match found for rate rule [C/H/Cs3;H_rad] +! Euclidian distance = 0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(23) 4.760000e-01 4.340 2.000 + +! Reaction index: Chemkin #42; RMG #1789 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(23)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #43; RMG #2014 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(23)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #44; RMG #2071 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C[CH]CC(C)CR(6), C9H17LR(23); C3H5L(65), C9H17LR(23); +! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H5L(65)+C[CH]CC(C)CR(6)<=>C9H17LR(23) 5.575000e+02 2.470 3.895 + +! Reaction index: Chemkin #45; RMG #8 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(17), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(17)<=>RC10L(1) 1.625980e+13 0.255 0.000 + +! Reaction index: Chemkin #46; RMG #950 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(17)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #47; RMG #1136 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(17)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #48; RMG #1353 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(17)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #49; RMG #1510 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(17)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #50; RMG #1692 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(17); +! From training reaction 952 used for C/H/Cs3;H_rad +! Exact match found for rate rule [C/H/Cs3;H_rad] +! Euclidian distance = 0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(17) 4.760000e-01 4.340 2.000 + +! Reaction index: Chemkin #51; RMG #1783 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(17)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #52; RMG #2008 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(17)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #53; RMG #2179 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(17), RC10L(1); +! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 +! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(17)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 5.420000e-04 4.340 4.900 + +! Reaction index: Chemkin #54; RMG #119 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C4H7R(71), [CH2]C(C)CR(4); [H](11), [CH2]C(C)CR(4); +! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ +! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C4H7R(71)<=>[CH2]C(C)CR(4) 5.075183e+03 2.822 -1.156 + +! Reaction index: Chemkin #55; RMG #1718 +! Template reaction: Disproportionation +! Flux pairs: [CH2]C(C)CR(4), C4H7R(71); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation. +[H](11)+[CH2]C(C)CR(4)<=>[H][H](325)+C4H7R(71) 4.559710e+12 -0.222 0.000 + +! Reaction index: Chemkin #56; RMG #2189 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C4H7R(71), C9H17LR(17); C[CH]CC(C)L(5), C9H17LR(17); +! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C4H7R(71)+C[CH]CC(C)L(5)<=>C9H17LR(17) 5.575000e+02 2.470 3.895 + +! Reaction index: Chemkin #57; RMG #2283 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(17)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #58; RMG #2289 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(23)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #59; RMG #4 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(10), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(10)<=>RC10L(1) 1.625980e+13 0.255 0.000 + +! Reaction index: Chemkin #60; RMG #948 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(10)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #61; RMG #1134 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(10)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #62; RMG #1351 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(10)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #63; RMG #1508 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(10)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616 + +! Reaction index: Chemkin #64; RMG #1691 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(10); +! From training reaction 952 used for C/H/Cs3;H_rad +! Exact match found for rate rule [C/H/Cs3;H_rad] +! Euclidian distance = 0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(10) 4.760000e-01 4.340 2.000 + +! Reaction index: Chemkin #65; RMG #1781 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(10)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #66; RMG #2006 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(10)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #67; RMG #2178 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(10), RC10L(1); +! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 +! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(10)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 5.420000e-04 4.340 4.900 + +! Reaction index: Chemkin #68; RMG #2190 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(10), RC10L(1); +! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3 +! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(10)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 5.420000e-04 4.340 4.900 + +! Reaction index: Chemkin #69; RMG #2281 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(10)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #70; RMG #205 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11L(84), C6H12L(13); [H](11), C6H12L(13); +! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ +! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C6H11L(84)<=>C6H12L(13) 5.075183e+03 2.822 -1.156 + +! Reaction index: Chemkin #71; RMG #1733 +! Template reaction: Disproportionation +! Flux pairs: C6H12L(13), C6H11L(84); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation. +[H](11)+C6H12L(13)<=>[H][H](325)+C6H11L(84) 4.559710e+12 -0.222 0.000 + +! Reaction index: Chemkin #72; RMG #2488 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11L(84), C9H17LR(10); C[CH]CR(12), C9H17LR(10); +! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C[CH]CR(12)+C6H11L(84)<=>C9H17LR(10) 5.575000e+02 2.470 3.895 + +! Reaction index: Chemkin #73; RMG #2589 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(10)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #74; RMG #2591 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(17)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #75; RMG #2597 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(23)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #76; RMG #302 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C7H13R(97), C7H14R(19); [H](11), C7H14R(19); +! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ +! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C7H13R(97)<=>C7H14R(19) 5.075183e+03 2.822 -1.156 + +! Reaction index: Chemkin #77; RMG #1726 +! Template reaction: Disproportionation +! Flux pairs: C7H14R(19), C7H13R(97); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation. +[H](11)+C7H14R(19)<=>[H][H](325)+C7H13R(97) 4.559710e+12 -0.222 0.000 + +! Reaction index: Chemkin #78; RMG #2489 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C7H13R(97), C9H17LR(10); C[CH]L(20), C9H17LR(10); +! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH +! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C[CH]L(20)+C7H13R(97)<=>C9H17LR(10) 5.575000e+02 2.470 3.895 + +! Reaction index: Chemkin #79; RMG #2846 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(10)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #80; RMG #2848 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(17)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #81; RMG #2854 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(23)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #82; RMG #16 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(26), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(26)<=>RC10L(1) 1.766370e+13 0.153 0.000 + +! Reaction index: Chemkin #83; RMG #962 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(26)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #84; RMG #1148 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(26)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #85; RMG #1365 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(26)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #86; RMG #1522 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(26)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #87; RMG #1698 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(26); +! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(26) 6.382500e+01 3.680 4.700 + +! Reaction index: Chemkin #88; RMG #1795 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(26)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #89; RMG #1867 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H12L(13), C9H17LR(26); C3H5R(83), C9H17LR(26); +! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H5R(83)+C6H12L(13)<=>C9H17LR(26) 1.020000e+03 2.410 6.230 + +! Reaction index: Chemkin #90; RMG #2020 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(26)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #91; RMG #2184 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(26), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(26)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #92; RMG #2195 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(26), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(26)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #93; RMG #2295 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(26)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #94; RMG #2494 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(26), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(26)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #95; RMG #2603 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(26)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #96; RMG #2860 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(26)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #97; RMG #11 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(21), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(21)<=>RC10L(1) 1.766370e+13 0.153 0.000 + +! Reaction index: Chemkin #98; RMG #954 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(21)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #99; RMG #1140 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(21)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #100; RMG #1357 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(21)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #101; RMG #1514 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(21)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #102; RMG #1694 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(21); +! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(21) 6.382500e+01 3.680 4.700 + +! Reaction index: Chemkin #103; RMG #1787 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(21)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #104; RMG #2012 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(21)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #105; RMG #2181 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(21), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(21)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #106; RMG #2192 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(21), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(21)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #107; RMG #2287 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(21)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #108; RMG #2491 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(21), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(21)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #109; RMG #2595 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(21)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #110; RMG #2852 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(21)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #111; RMG #3142 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(21), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(21)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.573748e-03 4.290 7.713 + +! Reaction index: Chemkin #112; RMG #122 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C5H9L(73), C[CH]CC(C)L(5); [H](11), C[CH]CC(C)L(5); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C5H9L(73)<=>C[CH]CC(C)L(5) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #113; RMG #1730 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CC(C)L(5), C5H9L(73); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C[CH]CC(C)L(5)<=>[H][H](325)+C5H9L(73) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #114; RMG #3148 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C5H9L(73), C9H17LR(21); [CH2]C(C)CR(4), C9H17LR(21); +! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]C(C)CR(4)+C5H9L(73)<=>C9H17LR(21) 1.020000e+03 2.410 6.230 + +! Reaction index: Chemkin #115; RMG #3256 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(10)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #116; RMG #3258 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(17)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #117; RMG #3262 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(21)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #118; RMG #3264 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(23)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #119; RMG #3270 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(26)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #120; RMG #9 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(18), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination. +[H](11)+C9H17LR(18)<=>RC10L(1) 1.766370e+13 0.153 0.000 + +! Reaction index: Chemkin #121; RMG #952 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(18)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #122; RMG #1138 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(18)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #123; RMG #1355 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(18)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #124; RMG #1512 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(18)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274 + +! Reaction index: Chemkin #125; RMG #1693 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(18); +! Estimated using an average for rate rule [C/H2/NonDeC;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(18) 6.382500e+01 3.680 4.700 + +! Reaction index: Chemkin #126; RMG #1785 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(18)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #127; RMG #2010 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(18)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #128; RMG #2180 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(18), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(18)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #129; RMG #2191 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(18), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(18)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #130; RMG #2285 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(18)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #131; RMG #2490 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(18), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(18)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257 + +! Reaction index: Chemkin #132; RMG #2593 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C6H12L(13)+C9H17LR(18)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #133; RMG #2850 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation. +C7H14R(19)+C9H17LR(18)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000 + +! Reaction index: Chemkin #134; RMG #3141 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(18), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(18)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.573748e-03 4.290 7.713 + +! Reaction index: Chemkin #135; RMG #3151 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(18), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(18)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.573748e-03 4.290 7.713 + +! Reaction index: Chemkin #136; RMG #3260 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(18)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #137; RMG #52 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11R(62), C[CH]CC(C)CR(6); [H](11), C[CH]CC(C)CR(6); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C6H11R(62)<=>C[CH]CC(C)CR(6) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #138; RMG #1723 +! Template reaction: Disproportionation +! Flux pairs: C[CH]CC(C)CR(6), C6H11R(62); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C[CH]CC(C)CR(6)<=>[H][H](325)+C6H11R(62) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #139; RMG #3546 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H11R(62), C9H17LR(18); [CH2]C(C)L(7), C9H17LR(18); +! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]C(C)L(7)+C6H11R(62)<=>C9H17LR(18) 1.020000e+03 2.410 6.230 + +! Reaction index: Chemkin #140; RMG #3663 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(10)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #141; RMG #3665 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(17)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #142; RMG #3667 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(18)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #143; RMG #3669 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(21)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #144; RMG #3671 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(23)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #145; RMG #3677 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(26)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #146; RMG #14 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(24), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- +! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination. +[H](11)+C9H17LR(24)<=>RC10L(1) 9.174990e+13 0.115 0.000 + +! Reaction index: Chemkin #147; RMG #958 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(24)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #148; RMG #1006 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: [CH2]C(C)CR(4), C9H17LR(24); C5H9L(74), C9H17LR(24); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]C(C)CR(4)+C5H9L(74)<=>C9H17LR(24) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #149; RMG #1144 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(24)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #150; RMG #1225 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: [CH2]C(C)L(7), C9H17LR(24); C6H11R(63), C9H17LR(24); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]C(C)L(7)+C6H11R(63)<=>C9H17LR(24) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #151; RMG #1361 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(24)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #152; RMG #1518 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(24)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #153; RMG #1696 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(24); +! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(24) 5.670000e+06 2.210 7.500 + +! Reaction index: Chemkin #154; RMG #1791 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(24)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #155; RMG #2016 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(24)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #156; RMG #2182 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #157; RMG #2193 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #158; RMG #2291 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(24)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #159; RMG #2492 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #160; RMG #2599 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C6H12L(13)+C9H17LR(24)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #161; RMG #2856 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C7H14R(19)+C9H17LR(24)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #162; RMG #3143 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #163; RMG #3152 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #164; RMG #3266 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(24)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #165; RMG #3550 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(24), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #166; RMG #3673 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(24)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #167; RMG #17 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(27), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- +! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination. +[H](11)+C9H17LR(27)<=>RC10L(1) 9.174990e+13 0.115 0.000 + +! Reaction index: Chemkin #168; RMG #964 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(27)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #169; RMG #1150 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(27)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #170; RMG #1367 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(27)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #171; RMG #1419 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C7H14R(19), C9H17LR(27); C2H3L(66), C9H17LR(27); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C2H3L(66)+C7H14R(19)<=>C9H17LR(27) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #172; RMG #1524 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(27)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #173; RMG #1699 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(27); +! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(27) 5.670000e+06 2.210 7.500 + +! Reaction index: Chemkin #174; RMG #1797 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(27)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #175; RMG #2022 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(27)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #176; RMG #2185 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #177; RMG #2196 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #178; RMG #2297 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(27)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #179; RMG #2495 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #180; RMG #2605 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C6H12L(13)+C9H17LR(27)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #181; RMG #2862 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C7H14R(19)+C9H17LR(27)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #182; RMG #3145 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #183; RMG #3154 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #184; RMG #3272 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(27)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #185; RMG #3552 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(27), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(27)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #186; RMG #3679 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(27)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #187; RMG #4004 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(27); C9H17LR(24), RC10L(1); +! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(27)+RC10L(1) 1.630301e-04 4.810 8.490 + +! Reaction index: Chemkin #188; RMG #15 +! Template reaction: R_Recombination +! Flux pairs: C9H17LR(25), RC10L(1); [H](11), RC10L(1); +! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N- +! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination. +[H](11)+C9H17LR(25)<=>RC10L(1) 9.174990e+13 0.115 0.000 + +! Reaction index: Chemkin #189; RMG #960 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)L(5), C5H9L(74); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)L(5)+C9H17LR(25)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #190; RMG #1146 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CC(C)CR(6)+C9H17LR(25)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #191; RMG #1363 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]L(20), C2H3L(66); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]L(20)+C9H17LR(25)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #192; RMG #1520 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CR(12), C3H5R(72); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C[CH]CR(12)+C9H17LR(25)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834 + +! Reaction index: Chemkin #193; RMG #1593 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C6H12L(13), C9H17LR(25); C3H5R(72), C9H17LR(25); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +C3H5R(72)+C6H12L(13)<=>C9H17LR(25) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #194; RMG #1697 +! Template reaction: H_Abstraction +! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(25); +! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(25) 5.670000e+06 2.210 7.500 + +! Reaction index: Chemkin #195; RMG #1793 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CR(12), C3H5R(83); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CR(12)+C9H17LR(25)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #196; RMG #2018 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); [CH2]C(C)L(7), C3H5L(65); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)L(7)+C9H17LR(25)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #197; RMG #2183 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #198; RMG #2194 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #199; RMG #2293 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); [CH2]C(C)CR(4), C4H7R(71); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +[CH2]C(C)CR(4)+C9H17LR(25)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #200; RMG #2493 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs] +! Euclidian distance = 0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593 + +! Reaction index: Chemkin #201; RMG #2601 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C6H12L(13), C6H11L(84); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C6H12L(13)+C9H17LR(25)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #202; RMG #2858 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C7H14R(19), C7H13R(97); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation. +C7H14R(19)+C9H17LR(25)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000 + +! Reaction index: Chemkin #203; RMG #3144 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #204; RMG #3153 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #205; RMG #3268 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)L(5), C5H9L(73); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)L(5)+C9H17LR(25)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #206; RMG #3551 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(25), RC10L(1); +! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536 + +! Reaction index: Chemkin #207; RMG #3675 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C[CH]CC(C)CR(6)+C9H17LR(25)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #208; RMG #4005 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(27); C9H17LR(25), RC10L(1); +! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +C9H17LR(25)+RC10L(1)<=>C9H17LR(27)+RC10L(1) 1.630301e-04 4.810 8.490 + +! Reaction index: Chemkin #209; RMG #4008 +! Template reaction: H_Abstraction +! Flux pairs: RC10L(1), C9H17LR(25); C9H17LR(24), RC10L(1); +! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: H_Abstraction +C9H17LR(24)+RC10L(1)<=>C9H17LR(25)+RC10L(1) 1.630301e-04 4.810 8.490 + +! Reaction index: Chemkin #210; RMG #724 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(165), C8H15LR(8); [H](11), C8H15LR(8); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C8H14LR(165)<=>C8H15LR(8) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #211; RMG #1748 +! Template reaction: Disproportionation +! Flux pairs: C8H15LR(8), C8H14LR(165); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C8H15LR(8)<=>[H][H](325)+C8H14LR(165) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #212; RMG #3149 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(165), C9H17LR(21); [CH3](9), C9H17LR(21); +! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C8H14LR(165)<=>C9H17LR(21) 3.241000e+04 2.171 6.632 + +! Reaction index: Chemkin #213; RMG #4024 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(10)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #214; RMG #4026 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(17)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #215; RMG #4028 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(18)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #216; RMG #4030 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(21)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #217; RMG #4032 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(23)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #218; RMG #4034 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(24)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #219; RMG #4036 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(25)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #220; RMG #4038 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(26)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #221; RMG #4040 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(8), C8H14LR(165); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(27)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #222; RMG #723 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(164), C8H15LR(8); [H](11), C8H15LR(8); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C8H14LR(164)<=>C8H15LR(8) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #223; RMG #1747 +! Template reaction: Disproportionation +! Flux pairs: C8H15LR(8), C8H14LR(164); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C8H15LR(8)<=>[H][H](325)+C8H14LR(164) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #224; RMG #3547 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(164), C9H17LR(18); [CH3](9), C9H17LR(18); +! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C8H14LR(164)<=>C9H17LR(18) 3.241000e+04 2.171 6.632 + +! Reaction index: Chemkin #225; RMG #4446 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(10)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #226; RMG #4448 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(17)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #227; RMG #4450 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(18)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #228; RMG #4452 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(21)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #229; RMG #4454 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(23)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #230; RMG #4456 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(24)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #231; RMG #4458 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(25)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #232; RMG #4460 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(26)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #233; RMG #4462 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(8), C8H14LR(164); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(8)+C9H17LR(27)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #234; RMG #642 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(150), C8H15LR(14); [H](11), C8H15LR(14); +! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C8H14LR(150)<=>C8H15LR(14) 8.892000e+09 1.073 2.175 + +! Reaction index: Chemkin #235; RMG #1745 +! Template reaction: Disproportionation +! Flux pairs: C8H15LR(14), C8H14LR(150); [H](11), [H][H](325); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +[H](11)+C8H15LR(14)<=>[H][H](325)+C8H14LR(150) 1.191692e+10 0.568 0.000 + +! Reaction index: Chemkin #236; RMG #3140 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H14LR(150), C9H17LR(26); [CH3](9), C9H17LR(26); +! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH +! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH3](9)+C8H14LR(150)<=>C9H17LR(26) 3.241000e+04 2.171 6.632 + +! Reaction index: Chemkin #237; RMG #4901 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(10)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #238; RMG #4903 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(17)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #239; RMG #4905 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(18)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #240; RMG #4907 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(21)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #241; RMG #4909 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(23)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #242; RMG #4911 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(24)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #243; RMG #4913 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(25)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #244; RMG #4915 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(26)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #245; RMG #4917 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(14), C8H14LR(150); +! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N- +! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation. +! Multiplied by reaction path degeneracy 2.0 +C8H15LR(14)+C9H17LR(27)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000 + +! Reaction index: Chemkin #246; RMG #409 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H15L(111), C8H16L(16); [H](11), C8H16L(16); +! From training reaction 9 used for Cds-HH_Cds-CsH;HJ +! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[H](11)+C8H15L(111)<=>C8H16L(16) 3.360000e+08 1.560 0.600 + +! Reaction index: Chemkin #247; RMG #1739 +! Template reaction: Disproportionation +! Flux pairs: C8H16L(16), C8H15L(111); [H](11), [H][H](325); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +[H](11)+C8H16L(16)<=>[H][H](325)+C8H15L(111) 1.225854e+27 -4.376 3.239 + +! Reaction index: Chemkin #248; RMG #4007 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C8H15L(111), C9H17LR(25); [CH2]R(15), C9H17LR(25); +! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH +! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH] +! Euclidian distance = 0 +! family: R_Addition_MultipleBond +[CH2]R(15)+C8H15L(111)<=>C9H17LR(25) 1.502000e+00 3.105 5.819 + +! Reaction index: Chemkin #249; RMG #5388 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(10), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(10)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #250; RMG #5390 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(17), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(17)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #251; RMG #5392 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(18), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(18)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #252; RMG #5394 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(21), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(21)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #253; RMG #5396 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(23), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(23)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474 + +! Reaction index: Chemkin #254; RMG #5398 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(24), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(24)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #255; RMG #5400 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(25), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(25)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707 + +! Reaction index: Chemkin #256; RMG #5402 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(26), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(26)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138 + +! Reaction index: Chemkin #257; RMG #5404 +! Template reaction: Disproportionation +! Flux pairs: C9H17LR(27), RC10L(1); C8H16L(16), C8H15L(111); +! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +C8H16L(16)+C9H17LR(27)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707 + +END + diff --git a/ipython/data/fragment/species_dictionary.txt b/ipython/data/fragment/species_dictionary.txt new file mode 100644 index 00000000000..e17b3cf5dba --- /dev/null +++ b/ipython/data/fragment/species_dictionary.txt @@ -0,0 +1,952 @@ +Ar +1 Ar u0 p4 c0 + +He +1 He u0 p1 c0 + +Ne +1 Ne u0 p4 c0 + +N2 +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} + +RC10L(1) +1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S} +3 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S} +4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} +5 C u0 p0 c0 {4,S} {9,S} {12,S} {13,S} +6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} +7 C u0 p0 c0 {2,S} {25,S} {26,S} {27,S} +8 C u0 p0 c0 {2,S} {18,S} {28,S} {29,S} +9 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 L u0 p0 c0 {5,S} +13 H u0 p0 c0 {5,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {3,S} +17 H u0 p0 c0 {3,S} +18 R u0 p0 c0 {8,S} +19 H u0 p0 c0 {9,S} +20 H u0 p0 c0 {9,S} +21 H u0 p0 c0 {9,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {6,S} +24 H u0 p0 c0 {6,S} +25 H u0 p0 c0 {7,S} +26 H u0 p0 c0 {7,S} +27 H u0 p0 c0 {7,S} +28 H u0 p0 c0 {8,S} +29 H u0 p0 c0 {8,S} + +RC10(2) +1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S} +2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} +4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S} +6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} +8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S} +9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S} +10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {1,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 R u0 p0 c0 {10,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {9,S} +29 H u0 p0 c0 {9,S} +30 H u0 p0 c0 {9,S} +31 H u0 p0 c0 {10,S} +32 H u0 p0 c0 {10,S} + +LC10(3) +1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S} +2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} +4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S} +6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} +8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S} +9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S} +10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {1,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 L u0 p0 c0 {10,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {9,S} +29 H u0 p0 c0 {9,S} +30 H u0 p0 c0 {9,S} +31 H u0 p0 c0 {10,S} +32 H u0 p0 c0 {10,S} + +[CH2]C(C)CR(4) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +4 C u1 p0 c0 {1,S} {12,S} {13,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 R u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {4,S} +13 H u0 p0 c0 {4,S} + +C[CH]CR(12) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} +3 C u1 p0 c0 {1,S} {2,S} {10,S} +4 H u0 p0 c0 {1,S} +5 R u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} + +C[CH]CC(C)CR(6) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} +4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} +5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} +6 C u1 p0 c0 {2,S} {5,S} {19,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 R u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {4,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} + +C7H14R(19) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} +4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} +5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} +6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} +7 C u1 p0 c0 {2,S} {21,S} {22,S} +8 H u0 p0 c0 {1,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {4,S} +13 R u0 p0 c0 {4,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {5,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {6,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {7,S} +22 H u0 p0 c0 {7,S} + +[CH2]C(C)L(7) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u1 p0 c0 {1,S} {9,S} {10,S} +4 L u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} + +C[CH]CC(C)L(5) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} +4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} +5 C u1 p0 c0 {2,S} {4,S} {16,S} +6 L u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {4,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} + +C6H12L(13) +multiplicity 2 +1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} +3 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S} +4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} +5 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S} +6 C u1 p0 c0 {1,S} {18,S} {19,S} +7 H u0 p0 c0 {1,S} +8 L u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {5,S} +13 H u0 p0 c0 {5,S} +14 H u0 p0 c0 {5,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {4,S} +18 H u0 p0 c0 {6,S} +19 H u0 p0 c0 {6,S} + +C[CH]L(20) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u1 p0 c0 {1,S} {6,S} {7,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 L u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} + +[CH2]R(15) +multiplicity 2 +1 C u1 p0 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 R u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} + +C8H16L(16) +multiplicity 2 +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S} +3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} +4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} +6 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S} +7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} +8 C u1 p0 c0 {4,S} {7,S} {25,S} +9 H u0 p0 c0 {1,S} +10 L u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {2,S} +13 H u0 p0 c0 {2,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {6,S} +17 H u0 p0 c0 {6,S} +18 H u0 p0 c0 {6,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {5,S} +21 H u0 p0 c0 {5,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} + +[CH3](9) +multiplicity 2 +1 C u1 p0 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} + +C8H15LR(22) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S} +2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {11,S} {12,S} +4 C u0 p0 c0 {1,S} {8,S} {13,S} {14,S} +5 C u0 p0 c0 {2,S} {15,S} {16,S} {17,S} +6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} +7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} +8 C u1 p0 c0 {4,S} {24,S} {25,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {4,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {5,S} +16 R u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {6,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {7,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 L u0 p0 c0 {8,S} +25 H u0 p0 c0 {8,S} + +C8H15LR(14) +multiplicity 2 +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} +3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} +8 C u1 p0 c0 {4,S} {7,S} {25,S} +9 H u0 p0 c0 {1,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 L u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 R u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} + +C8H15LR(8) +multiplicity 2 +1 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S} +2 C u0 p0 c0 {4,S} {7,S} {10,S} {11,S} +3 C u0 p0 c0 {1,S} {8,S} {12,S} {13,S} +4 C u0 p0 c0 {2,S} {8,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} +8 C u1 p0 c0 {3,S} {4,S} {25,S} +9 H u0 p0 c0 {1,S} +10 L u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} + +C3H6(64) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} + +C5H9L(74) +1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} +4 C u0 p0 c0 {2,S} {5,D} {13,S} +5 C u0 p0 c0 {4,D} {14,S} {15,S} +6 L u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {4,S} +14 H u0 p0 c0 {5,S} +15 H u0 p0 c0 {5,S} + +C6H11R(63) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} +4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} +5 C u0 p0 c0 {2,S} {6,D} {16,S} +6 C u0 p0 c0 {5,D} {17,S} {18,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 R u0 p0 c0 {4,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {6,S} +18 H u0 p0 c0 {6,S} + +C2H3L(66) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 L u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} + +C3H5R(72) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 R u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} + +[H](11) +multiplicity 2 +1 H u1 p0 c0 + +C3H5R(83) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 R u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} + +[H][H](325) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} + +C3H5L(65) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 L u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} + +C9H17LR(23) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S} +2 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S} +5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} +8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S} +9 C u1 p0 c0 {4,S} {8,S} {28,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {1,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 L u0 p0 c0 {9,S} + +C9H17LR(17) +multiplicity 2 +1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} +2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S} +3 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} +4 C u0 p0 c0 {1,S} {9,S} {15,S} {16,S} +5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} +6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S} +7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S} +8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S} +9 C u1 p0 c0 {4,S} {7,S} {8,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {2,S} +13 L u0 p0 c0 {3,S} +14 H u0 p0 c0 {3,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {7,S} +24 R u0 p0 c0 {7,S} +25 H u0 p0 c0 {7,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {8,S} + +C4H7R(71) +1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} +2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {4,D} +4 C u0 p0 c0 {3,D} {11,S} {12,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 R u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {4,S} +12 H u0 p0 c0 {4,S} + +C9H17LR(10) +multiplicity 2 +1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} +2 C u0 p0 c0 {4,S} {7,S} {11,S} {12,S} +3 C u0 p0 c0 {1,S} {9,S} {13,S} {14,S} +4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S} +5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} +6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} +7 C u0 p0 c0 {2,S} {23,S} {24,S} {25,S} +8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S} +9 C u1 p0 c0 {3,S} {4,S} {8,S} +10 H u0 p0 c0 {1,S} +11 L u0 p0 c0 {2,S} +12 H u0 p0 c0 {2,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {3,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {5,S} +18 R u0 p0 c0 {5,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {7,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {8,S} + +C6H11L(84) +1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} +2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} +3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} +4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} +5 C u0 p0 c0 {2,S} {4,S} {6,D} +6 C u0 p0 c0 {5,D} {17,S} {18,S} +7 L u0 p0 c0 {1,S} +8 H u0 p0 c0 {1,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {6,S} +18 H u0 p0 c0 {6,S} + +C7H13R(97) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} +2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S} +3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} +5 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} +6 C u0 p0 c0 {2,S} {5,S} {7,D} +7 C u0 p0 c0 {6,D} {20,S} {21,S} +8 H u0 p0 c0 {1,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 R u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {7,S} +21 H u0 p0 c0 {7,S} + +C9H17LR(26) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} +2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} +5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} +6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} +7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} +8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} +9 C u1 p0 c0 {2,S} {27,S} {28,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 L u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {7,S} +19 H u0 p0 c0 {7,S} +20 H u0 p0 c0 {7,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {6,S} +24 H u0 p0 c0 {8,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {9,S} +28 R u0 p0 c0 {9,S} + +C9H17LR(21) +multiplicity 2 +1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} +2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {8,S} {9,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} +8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S} +9 C u1 p0 c0 {2,S} {4,S} {28,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 L u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {9,S} + +C5H9L(73) +1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {5,D} {15,S} +5 C u0 p0 c0 {3,S} {4,D} {14,S} +6 L u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {5,S} +15 H u0 p0 c0 {4,S} + +C9H17LR(18) +multiplicity 2 +1 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} +2 C u0 p0 c0 {5,S} {6,S} {9,S} {10,S} +3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} +4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} +5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} +8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S} +9 C u1 p0 c0 {1,S} {2,S} {28,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {1,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 L u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {7,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {8,S} +28 H u0 p0 c0 {9,S} + +C6H11R(62) +1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} +4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} +5 C u0 p0 c0 {1,S} {6,D} {18,S} +6 C u0 p0 c0 {4,S} {5,D} {17,S} +7 H u0 p0 c0 {1,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 H u0 p0 c0 {2,S} +11 R u0 p0 c0 {3,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 H u0 p0 c0 {6,S} +18 H u0 p0 c0 {5,S} + +C9H17LR(24) +multiplicity 2 +1 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S} +2 C u0 p0 c0 {3,S} {4,S} {9,S} {11,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} +5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} +6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} +7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} +8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} +9 C u1 p0 c0 {2,S} {27,S} {28,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 L u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {6,S} +19 R u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {7,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {8,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {9,S} +28 H u0 p0 c0 {9,S} + +C9H17LR(27) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {8,S} {11,S} +2 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} +5 C u0 p0 c0 {4,S} {9,S} {16,S} {17,S} +6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} +7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} +8 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} +9 C u1 p0 c0 {5,S} {27,S} {28,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {1,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 L u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {6,S} +19 R u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {7,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {8,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {9,S} +28 H u0 p0 c0 {9,S} + +C9H17LR(25) +multiplicity 2 +1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} +2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} +3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} +5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} +6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} +7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} +8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} +9 C u1 p0 c0 {2,S} {27,S} {28,S} +10 H u0 p0 c0 {1,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 L u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {7,S} +19 R u0 p0 c0 {7,S} +20 H u0 p0 c0 {7,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {6,S} +24 H u0 p0 c0 {8,S} +25 H u0 p0 c0 {8,S} +26 H u0 p0 c0 {8,S} +27 H u0 p0 c0 {9,S} +28 H u0 p0 c0 {9,S} + +C8H14LR(165) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S} +3 C u0 p0 c0 {6,S} {8,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} +5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} +6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S} +7 C u0 p0 c0 {2,S} {8,D} {23,S} +8 C u0 p0 c0 {3,S} {7,D} {24,S} +9 H u0 p0 c0 {1,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 L u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {7,S} +24 H u0 p0 c0 {8,S} + +C8H14LR(164) +1 C u0 p0 c0 {4,S} {5,S} {7,S} {9,S} +2 C u0 p0 c0 {3,S} {6,S} {10,S} {11,S} +3 C u0 p0 c0 {2,S} {8,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} +5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} +6 C u0 p0 c0 {2,S} {20,S} {21,S} {22,S} +7 C u0 p0 c0 {1,S} {8,D} {24,S} +8 C u0 p0 c0 {3,S} {7,D} {23,S} +9 H u0 p0 c0 {1,S} +10 L u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 H u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {4,S} +17 R u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {5,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {6,S} +23 H u0 p0 c0 {8,S} +24 H u0 p0 c0 {7,S} + +C8H14LR(150) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} +3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {4,S} {8,D} {22,S} +8 C u0 p0 c0 {7,D} {23,S} {24,S} +9 H u0 p0 c0 {1,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 L u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 R u0 p0 c0 {8,S} +24 H u0 p0 c0 {8,S} + +C8H15L(111) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} +3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} +4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} +5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} +6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S} +7 C u0 p0 c0 {4,S} {8,D} {22,S} +8 C u0 p0 c0 {7,D} {23,S} {24,S} +9 H u0 p0 c0 {1,S} +10 H u0 p0 c0 {2,S} +11 H u0 p0 c0 {2,S} +12 L u0 p0 c0 {3,S} +13 H u0 p0 c0 {3,S} +14 H u0 p0 c0 {4,S} +15 H u0 p0 c0 {4,S} +16 H u0 p0 c0 {5,S} +17 H u0 p0 c0 {5,S} +18 H u0 p0 c0 {5,S} +19 H u0 p0 c0 {6,S} +20 H u0 p0 c0 {6,S} +21 H u0 p0 c0 {6,S} +22 H u0 p0 c0 {7,S} +23 H u0 p0 c0 {8,S} +24 H u0 p0 c0 {8,S} + diff --git a/ipython/data/species_dictionary.txt b/ipython/data/species_dictionary.txt deleted file mode 100644 index 5840bbd90eb..00000000000 --- a/ipython/data/species_dictionary.txt +++ /dev/null @@ -1,10168 +0,0 @@ -Ar -1 Ar u0 p4 c0 - -He -1 He u0 p1 c0 - -Ne -1 Ne u0 p4 c0 - -N2 -1 N u0 p1 c0 {2,T} -2 N u0 p1 c0 {1,T} - -RC10L(1) -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {9,S} {12,S} {13,S} -6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {2,S} {25,S} {26,S} {27,S} -8 C u0 p0 c0 {2,S} {18,S} {28,S} {29,S} -9 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 L u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 R u0 p0 c0 {8,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} - -RC10(2) -1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S} -2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} -4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S} -9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S} -10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 R u0 p0 c0 {10,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} -30 H u0 p0 c0 {9,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {10,S} - -LC10(3) -1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S} -2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} -4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S} -9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S} -10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 L u0 p0 c0 {10,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} -30 H u0 p0 c0 {9,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {10,S} - -[CH2]C(C)CR(6) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {1,S} {12,S} {13,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} - -C[CH]CR(10) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u1 p0 c0 {1,S} {2,S} {10,S} -4 H u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} - -C[CH]CC(C)CR(5) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} -5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -6 C u1 p0 c0 {2,S} {5,S} {19,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 R u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} - -[CH2]C(C)L(4) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u1 p0 c0 {1,S} {9,S} {10,S} -4 L u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} - -C7H14R(9) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u1 p0 c0 {2,S} {21,S} {22,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} - -C[CH]CC(C)L(7) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -5 C u1 p0 c0 {2,S} {4,S} {16,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} - -C[CH]L(8) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u1 p0 c0 {1,S} {6,S} {7,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 L u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} - -C6H12L(11) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S} -6 C u1 p0 c0 {1,S} {18,S} {19,S} -7 H u0 p0 c0 {1,S} -8 L u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} - -C3H5R(12) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 R u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} - -CC(C)L(13) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 L u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -[CH2]R(14) -multiplicity 2 -1 C u1 p0 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} -3 R u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} - -C8H16L(15) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S} -3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S} -7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} -8 C u1 p0 c0 {4,S} {7,S} {25,S} -9 H u0 p0 c0 {1,S} -10 L u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} - -CCCC(C)L(16) -1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -6 L u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} - -C6H11R(17) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} -5 C u0 p0 c0 {2,S} {6,D} {16,S} -6 C u0 p0 c0 {5,D} {17,S} {18,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} - -C3H6(18) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} - -C2H3L(19) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 L u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} - -CC(C)CR(20) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} - -C8H15L(21) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} -6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {4,S} {8,D} {22,S} -8 C u0 p0 c0 {7,D} {23,S} {24,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 L u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {8,S} - -CR(22) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} -3 R u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} - -CC(C)CC(C)CR(23) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} - -C5H9L(24) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {2,S} {5,D} {13,S} -5 C u0 p0 c0 {4,D} {14,S} {15,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} - -CC(C)CC(C)L(25) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {6,S} {8,S} {9,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S} -7 H u0 p0 c0 {1,S} -8 L u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {6,S} -13 H u0 p0 c0 {6,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} - -CCL(26) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 L u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} - -CCCR(27) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C7H14LR(28) -1 C u0 p0 c0 {2,S} {5,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S} -3 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -4 C u0 p0 c0 {3,S} {7,S} {9,S} {10,S} -5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {4,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {7,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {5,S} -19 R u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} - -C10H20LR(29) -1 C u0 p0 c0 {3,S} {4,S} {9,S} {12,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -5 C u0 p0 c0 {4,S} {6,S} {19,S} {20,S} -6 C u0 p0 c0 {5,S} {10,S} {17,S} {18,S} -7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -9 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S} -10 C u0 p0 c0 {6,S} {30,S} {31,S} {32,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 L u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {7,S} -22 R u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} -30 H u0 p0 c0 {10,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {10,S} - -C9H18L2(30) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S} -4 C u0 p0 c0 {3,S} {6,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {8,S} {11,S} {12,S} -6 C u0 p0 c0 {4,S} {9,S} {17,S} {18,S} -7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {5,S} {21,S} {22,S} {23,S} -9 C u0 p0 c0 {6,S} {27,S} {28,S} {29,S} -10 H u0 p0 c0 {1,S} -11 L u0 p0 c0 {5,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 L u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} - -CC(L)CCR(31) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {7,S} {8,S} -3 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 L u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 R u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} - -CCCC(C)CR(32) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {8,S} {9,S} -3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} - -C8H16L2(33) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S} -4 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S} -5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S} -8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -9 H u0 p0 c0 {1,S} -10 L u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 L u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} - -CC(CR)CCR(34) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {5,S} -10 R u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 H u0 p0 c0 {3,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} - -CC(L)CC(C)L(35) -1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} -4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -6 L u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 L u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} - -C8H16R2(36) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S} -2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {11,S} {12,S} -4 C u0 p0 c0 {1,S} {8,S} {13,S} {14,S} -5 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {8,S} -16 R u0 p0 c0 {8,S} -17 H u0 p0 c0 {8,S} -18 H u0 p0 c0 {5,S} -19 R u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} - -CC(L)CC(C)CR(37) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {6,S} {8,S} {9,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S} -7 H u0 p0 c0 {1,S} -8 L u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {6,S} -13 H u0 p0 c0 {6,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {4,S} -16 R u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} - -C7H14LR(38) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {9,S} {10,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {4,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {6,S} -16 R u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} - -C9H18R2(39) -1 C u0 p0 c0 {2,S} {4,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {12,S} -3 C u0 p0 c0 {4,S} {5,S} {6,S} {10,S} -4 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S} -5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -9 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 R u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 R u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} - -C7H14R2(40) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} - -CC(L)CR(41) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 L u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -CC(CR)CR(42) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 R u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} - -C8H16LR(43) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S} -2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S} -5 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {1,S} -11 L u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {8,S} -16 H u0 p0 c0 {8,S} -17 H u0 p0 c0 {8,S} -18 H u0 p0 c0 {5,S} -19 R u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} - -C8H16LR(44) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S} -3 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -4 C u0 p0 c0 {3,S} {8,S} {11,S} {12,S} -5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 L u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {8,S} -16 H u0 p0 c0 {8,S} -17 H u0 p0 c0 {8,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 R u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} - -CC(L)CCC(C)L(45) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -4 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S} -5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S} -7 L u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 L u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} - -C7H14L2(46) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S} -4 C u0 p0 c0 {2,S} {7,S} {11,S} {12,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S} -7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 L u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} - -CC(L)C(C)CR(47) 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p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 R u0 p0 c0 {9,S} -29 H u0 p0 c0 {9,S} -30 H u0 p0 c0 {10,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {10,S} - -C8H17L(49) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S} -5 C u0 p0 c0 {3,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S} -8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -9 H u0 p0 c0 {1,S} -10 L u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} - -C11H22L2(50) -1 C u0 p0 c0 {3,S} {4,S} {8,S} {12,S} -2 C u0 p0 c0 {3,S} {5,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {2,S} {18,S} {19,S} -4 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {7,S} {22,S} {23,S} -6 C u0 p0 c0 {4,S} {10,S} {14,S} {15,S} -7 C u0 p0 c0 {5,S} {11,S} {20,S} {21,S} -8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {2,S} {33,S} {34,S} {35,S} -10 C u0 p0 c0 {6,S} {24,S} {25,S} {26,S} -11 C u0 p0 c0 {7,S} {30,S} {31,S} {32,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 L u0 p0 c0 {6,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 L u0 p0 c0 {7,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {11,S} -31 H u0 p0 c0 {11,S} -32 H u0 p0 c0 {11,S} -33 H u0 p0 c0 {9,S} -34 H u0 p0 c0 {9,S} -35 H u0 p0 c0 {9,S} - -CC(L)C(C)L(51) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S} -5 L u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 L u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} - -CC(CR)C(C)CR(52) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {2,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 R u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 R u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} - -C10H20L2(53) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S} -2 C u0 p0 c0 {3,S} {5,S} {8,S} {12,S} -3 C u0 p0 c0 {1,S} {2,S} {17,S} {18,S} -4 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -5 C u0 p0 c0 {2,S} {10,S} {19,S} {20,S} -6 C u0 p0 c0 {4,S} {9,S} {13,S} {14,S} -7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -10 C u0 p0 c0 {5,S} {30,S} {31,S} {32,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 L u0 p0 c0 {6,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 L u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {10,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {10,S} - -C11H22LR(54) -1 C u0 p0 c0 {3,S} {4,S} {8,S} {13,S} -2 C u0 p0 c0 {4,S} {5,S} {7,S} {12,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {14,S} -4 C u0 p0 c0 {1,S} {2,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -6 C u0 p0 c0 {5,S} {11,S} {15,S} {16,S} -7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {3,S} {30,S} {31,S} {32,S} -10 C u0 p0 c0 {3,S} {33,S} {34,S} {35,S} -11 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 L u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {11,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {9,S} -31 R u0 p0 c0 {9,S} -32 H u0 p0 c0 {9,S} -33 H u0 p0 c0 {10,S} -34 H u0 p0 c0 {10,S} -35 H u0 p0 c0 {10,S} - -RCCR(55) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} - -C6H11R(56) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {6,D} {18,S} -6 C u0 p0 c0 {4,S} {5,D} {17,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 R u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} - -C5H9L(57) -1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {5,D} {15,S} -5 C u0 p0 c0 {3,S} {4,D} {14,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {4,S} - -C3H5R(58) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 R u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} - -C3H5L(59) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 L u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} - -C4H7R(60) -1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {4,D} -4 C u0 p0 c0 {3,D} {11,S} {12,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 R u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} - -C8H15L(61) -1 C u0 p0 c0 {2,S} {4,S} {7,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {3,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {1,S} {8,D} {24,S} -8 C u0 p0 c0 {6,S} {7,D} {23,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 L u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {7,S} - -C7H13R(62) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {2,S} {5,S} {7,D} -7 C u0 p0 c0 {6,D} {20,S} {21,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 R u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {7,S} - -C6H11L(63) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {2,S} {4,S} {6,D} -6 C u0 p0 c0 {5,D} {17,S} {18,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} - -C10H20R(64) -multiplicity 2 -1 C u0 p0 c0 {4,S} {5,S} {6,S} {11,S} -2 C u0 p0 c0 {4,S} {7,S} {8,S} {12,S} -3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} -4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {3,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S} -10 C u1 p0 c0 {3,S} {30,S} {31,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {9,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {10,S} -31 R u0 p0 c0 {10,S} - -C9H17LR(65) -multiplicity 2 -1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} -2 C u0 p0 c0 {4,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {9,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {2,S} {23,S} {24,S} {25,S} -8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S} -9 C u1 p0 c0 {3,S} {4,S} {8,S} -10 H u0 p0 c0 {1,S} -11 L u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 R u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} - -C9H17LR(66) -multiplicity 2 -1 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} -2 C u0 p0 c0 {5,S} {6,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S} -6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S} -9 C u1 p0 c0 {1,S} {2,S} {28,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 R u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {9,S} - -C9H17LR(67) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -9 C u1 p0 c0 {2,S} {27,S} {28,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 R u0 p0 c0 {9,S} - -C9H17LR(68) -multiplicity 2 -1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {8,S} {9,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} -6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S} -9 C u1 p0 c0 {2,S} {4,S} {28,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 R u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {9,S} - -C9H17LR(69) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S} -3 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {9,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S} -8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S} -9 C u1 p0 c0 {4,S} {7,S} {8,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 L u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {7,S} -24 R u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} - -C9H17LR(70) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {8,S} {11,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {9,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -9 C u1 p0 c0 {5,S} {27,S} {28,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} - -C9H17LR(71) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -9 C u1 p0 c0 {2,S} {27,S} {28,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} - -C9H17LR(72) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S} -2 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S} -5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S} -6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S} -9 C u1 p0 c0 {4,S} {8,S} {28,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 R u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 L u0 p0 c0 {9,S} - -C9H17LR(73) -multiplicity 2 -1 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S} -2 C u0 p0 c0 {3,S} {4,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -9 C u1 p0 c0 {2,S} {27,S} {28,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {9,S} -28 H u0 p0 c0 {9,S} - -CH3(74) -multiplicity 2 -1 C u1 p0 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} - -C(75) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} - -C10H20L(76) -multiplicity 2 -1 C u0 p0 c0 {4,S} {5,S} {6,S} {11,S} -2 C u0 p0 c0 {4,S} {7,S} {8,S} {12,S} -3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S} -4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {3,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S} -10 C u1 p0 c0 {3,S} {30,S} {31,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {9,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {10,S} -31 L u0 p0 c0 {10,S} - -C5H8L(77) -multiplicity 2 -1 C u0 p0 c0 {3,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S} -3 C u1 p0 c0 {1,S} {5,S} {12,S} -4 C u0 p0 c0 {2,S} {5,D} {13,S} -5 C u0 p0 c0 {3,S} {4,D} {14,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 L u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} - -C3H4R(78) -multiplicity 2 -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u1 p0 c0 {1,S} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 R u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} - -C4H6R(79) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 C u1 p0 c0 {2,S} {10,S} {11,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 R u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} - -C[C]1CC1R(80) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {1,S} {2,S} {3,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 R u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C4H7R(81) -1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {4,D} -4 C u0 p0 c0 {3,D} {11,S} {12,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 R u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} - -H(82) -multiplicity 2 -1 H u1 p0 c0 - -[H][H](83) -1 H u0 p0 c0 {2,S} -2 H u0 p0 c0 {1,S} - -C5H9L(84) -1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {5,D} {15,S} -5 C u0 p0 c0 {3,S} {4,D} {14,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {5,S} -15 H u0 p0 c0 {4,S} - -C7H15(85) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u1 p0 c0 {2,S} {21,S} {22,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} - -C3H5L(86) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 L u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} - -CC(C)CC(C)C(87) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} - -RC1[CH]C1(88) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S} -3 C u1 p0 c0 {1,S} {2,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} - -C5H8L(89) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u1 p0 c0 {1,S} {4,S} {11,S} -4 C u0 p0 c0 {3,S} {5,D} {12,S} -5 C u0 p0 c0 {4,D} {13,S} {14,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} - -C6H10R(90) -multiplicity 2 -1 C u0 p0 c0 {4,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -3 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {2,S} {6,S} -5 C u0 p0 c0 {3,S} {6,D} {16,S} -6 C u0 p0 c0 {4,S} {5,D} {17,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 R u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} - -C4H5L(91) -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,D} {6,S} -3 C u0 p0 c0 {1,D} {7,S} {8,S} -4 C u0 p0 c0 {2,D} {9,S} {10,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 L u0 p0 c0 {4,S} -10 H u0 p0 c0 {4,S} - -C6H9L2(92) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {2,S} {5,S} {14,S} -5 C u0 p0 c0 {4,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 L u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C[CH]CC(93) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -4 C u1 p0 c0 {1,S} {3,S} {13,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} - -C[CH]C(94) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u1 p0 c0 {1,S} {2,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} - -CCC(95) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C5H8L(96) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u1 p0 c0 {1,S} {4,S} {11,S} -4 C u0 p0 c0 {3,S} {5,D} {12,S} -5 C u0 p0 c0 {4,D} {13,S} {14,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 L u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} - -C7H11LR(97) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} -5 C u1 p0 c0 {2,S} {6,S} {17,S} -6 C u0 p0 c0 {5,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 L u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C6H11R(98) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {4,S} {6,D} -6 C u0 p0 c0 {1,S} {5,D} {18,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} - -C6H9LR(99) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {1,S} {3,S} {14,S} -5 C u0 p0 c0 {2,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 R u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C7H9LR(100) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u1 p0 c0 {2,S} {5,S} {13,S} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,S} {7,D} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 C u0 p0 c0 {5,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 R u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -CC(L)C[CH]L(101) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {2,S} {12,S} {13,S} -5 L u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 L u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} - -C3H5(102) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u1 p0 c0 {1,S} {7,S} {8,S} -3 C u0 p0 c0 {1,D} {5,S} {6,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} - -C6H10L(103) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {3,S} {5,S} {6,D} -5 C u1 p0 c0 {1,S} {4,S} {15,S} -6 C u0 p0 c0 {4,D} {16,S} {17,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C5H7L(104) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 C u0 p0 c0 {2,S} {5,D} {9,S} -4 C u0 p0 c0 {2,D} {10,S} {11,S} -5 C u0 p0 c0 {3,D} {12,S} {13,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} -12 L u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} - -C6H9R(105) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {2,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {13,S} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 R u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C7H11L2(106) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u1 p0 c0 {2,S} {4,S} {6,S} -6 C u0 p0 c0 {5,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {19,S} {20,S} -8 L u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 L u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C6H11L(107) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {4,S} {6,D} -6 C u0 p0 c0 {1,S} {5,D} {18,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} - -C7H12R(108) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {4,S} {6,S} {7,D} -6 C u1 p0 c0 {1,S} {5,S} {18,S} -7 C u0 p0 c0 {5,D} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C7H12R(109) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {7,S} {9,S} -3 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {7,S} {18,S} {19,S} {20,S} -7 C u1 p0 c0 {2,S} {3,S} {6,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 R u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} - -C6H10(110) -1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {6,D} -4 C u0 p0 c0 {2,S} {5,D} {13,S} -5 C u0 p0 c0 {3,S} {4,D} {14,S} -6 C u0 p0 c0 {3,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C6H9R(111) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {2,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {13,S} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 R u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C8H14L(112) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -6 C u1 p0 c0 {2,S} {4,S} {8,S} -7 C u0 p0 c0 {5,S} {8,D} {22,S} -8 C u0 p0 c0 {6,S} {7,D} {23,S} -9 L u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} - -C6H9(113) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {5,S} -3 C u0 p0 c0 {2,D} {4,S} {10,S} -4 C u0 p0 c0 {3,S} {6,D} {11,S} -5 C u1 p0 c0 {2,S} {12,S} {13,S} -6 C u0 p0 c0 {4,D} {14,S} {15,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {6,S} - -C6H9(114) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u1 p0 c0 {2,S} {6,S} {14,S} -6 C u0 p0 c0 {4,D} {5,S} {15,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} - -C12H18(115) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S} -3 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S} -4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -5 C u0 p0 c0 {4,S} {9,S} {18,S} {19,S} -6 C u0 p0 c0 {3,S} {12,S} {20,S} {21,S} -7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} -8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S} -9 C u0 p0 c0 {5,S} {8,S} {10,D} -10 C u0 p0 c0 {2,S} {9,D} {28,S} -11 C u0 p0 c0 {1,S} {12,D} {30,S} -12 C u0 p0 c0 {6,S} {11,D} {29,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {10,S} -29 H u0 p0 c0 {12,S} -30 H u0 p0 c0 {11,S} - -C6H10(116) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S} -4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -5 C u0 p0 c0 {2,S} {4,S} {6,D} -6 C u0 p0 c0 {3,S} {5,D} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {6,S} - -C12H18(117) -1 C u0 p0 c0 {2,S} {3,S} {11,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {14,S} -3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {9,S} {19,S} {20,S} -6 C u0 p0 c0 {4,S} {10,S} {21,S} {22,S} -7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S} -8 C u0 p0 c0 {10,S} {26,S} {27,S} {28,S} -9 C u0 p0 c0 {5,S} {7,S} {11,D} -10 C u0 p0 c0 {6,S} {8,S} {12,D} -11 C u0 p0 c0 {1,S} {9,D} {29,S} -12 C u0 p0 c0 {2,S} {10,D} {30,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {11,S} -30 H u0 p0 c0 {12,S} - -C6H8(118) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {6,S} {13,S} -6 C u0 p0 c0 {4,D} {5,S} {14,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} - -C10H14L(119) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u1 p0 c0 {2,S} {7,S} {18,S} -6 C u0 p0 c0 {4,D} {8,S} {19,S} -7 C u0 p0 c0 {5,S} {10,D} {21,S} -8 C u0 p0 c0 {6,S} {9,D} {20,S} -9 C u0 p0 c0 {8,D} {22,S} {23,S} -10 C u0 p0 c0 {7,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} -24 L u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C7H13R(120) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {4,S} {5,S} {7,D} -7 C u0 p0 c0 {1,S} {6,D} {21,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {7,S} - -C10H14L(121) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {3,S} {7,S} {9,D} -5 C u0 p0 c0 {1,S} {7,D} {18,S} -6 C u1 p0 c0 {2,S} {8,S} {19,S} -7 C u0 p0 c0 {4,S} {5,D} {20,S} -8 C u0 p0 c0 {6,S} {10,D} {21,S} -9 C u0 p0 c0 {4,D} {22,S} {23,S} -10 C u0 p0 c0 {8,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} -24 L u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C9H14L(122) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {7,D} -6 C u1 p0 c0 {2,S} {4,S} {20,S} -7 C u0 p0 c0 {5,D} {8,S} {21,S} -8 C u0 p0 c0 {7,S} {9,D} {22,S} -9 C u0 p0 c0 {8,D} {23,S} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 L u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C6H7(123) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -2 C u1 p0 c0 {1,S} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,D} {12,S} -4 C u0 p0 c0 {2,S} {6,D} {13,S} -5 C u0 p0 c0 {3,D} {6,S} {10,S} -6 C u0 p0 c0 {4,D} {5,S} {11,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {6,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} - -C5H9LR(124) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 C u1 p0 c0 {2,S} {15,S} {16,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 R u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 L u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} - -C6H8(125) -1 C u0 p0 c0 {4,S} {5,S} {7,S} {8,S} -2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {4,D} {6,S} -4 C u0 p0 c0 {1,S} {3,D} {13,S} -5 C u0 p0 c0 {1,S} {6,D} {12,S} -6 C u0 p0 c0 {3,S} {5,D} {14,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {6,S} - -C7H11(126) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {4,S} {7,D} -6 C u1 p0 c0 {2,S} {7,S} {17,S} -7 C u0 p0 c0 {5,D} {6,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} - -C7H11(127) -multiplicity 2 -1 C u0 p0 c0 {3,S} {11,S} {12,S} {13,S} -2 C u0 p0 c0 {4,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {4,D} {5,S} -4 C u0 p0 c0 {2,S} {3,D} {14,S} -5 C u0 p0 c0 {3,S} {6,D} {16,S} -6 C u0 p0 c0 {5,D} {7,S} {15,S} -7 C u1 p0 c0 {6,S} {17,S} {18,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C8H13LR(128) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -6 C u1 p0 c0 {2,S} {5,S} {7,S} -7 C u0 p0 c0 {6,S} {8,D} {21,S} -8 C u0 p0 c0 {7,D} {22,S} {23,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {7,S} -22 L u0 p0 c0 {8,S} -23 H u0 p0 c0 {8,S} - -C8H11LR(129) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {3,S} {6,S} -5 C u0 p0 c0 {2,S} {7,D} {16,S} -6 C u0 p0 c0 {4,S} {8,D} {17,S} -7 C u0 p0 c0 {5,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 R u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C7H10L(130) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u1 p0 c0 {2,S} {5,S} {13,S} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,S} {7,D} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 C u0 p0 c0 {5,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C6H10L(131) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S} -4 C u1 p0 c0 {1,S} {3,S} {5,S} -5 C u0 p0 c0 {4,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 L u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C9H14L(132) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {8,S} {9,D} -6 C u1 p0 c0 {1,S} {4,S} {20,S} -7 C u0 p0 c0 {2,S} {8,D} {21,S} -8 C u0 p0 c0 {5,S} {7,D} {22,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 L u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C6H8R2(133) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {2,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {13,S} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 R u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C8H11LR(134) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {6,S} {16,S} -6 C u0 p0 c0 {5,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 R u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C11H16L(135) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {7,D} -6 C u1 p0 c0 {2,S} {4,S} {8,S} -7 C u0 p0 c0 {5,D} {9,S} {22,S} -8 C u0 p0 c0 {6,S} {11,D} {24,S} -9 C u0 p0 c0 {7,S} {10,D} {23,S} -10 C u0 p0 c0 {9,D} {25,S} {26,S} -11 C u0 p0 c0 {8,D} {27,S} {28,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {10,S} -27 L u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C11H16L(136) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u1 p0 c0 {1,S} {3,S} {9,S} -6 C u0 p0 c0 {4,S} {8,S} {10,D} -7 C u0 p0 c0 {2,S} {8,D} {22,S} -8 C u0 p0 c0 {6,S} {7,D} {23,S} -9 C u0 p0 c0 {5,S} {11,D} {24,S} -10 C u0 p0 c0 {6,D} {25,S} {26,S} -11 C u0 p0 c0 {9,D} {27,S} {28,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {3,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {10,S} -27 L u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C10H16R(137) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S} -6 C u1 p0 c0 {1,S} {3,S} {4,S} -7 C u0 p0 c0 {2,S} {5,S} {8,D} -8 C u0 p0 c0 {7,D} {9,S} {24,S} -9 C u0 p0 c0 {8,S} {10,D} {25,S} -10 C u0 p0 c0 {9,D} {26,S} {27,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 R u0 p0 c0 {4,S} -22 H u0 p0 c0 {4,S} -23 H u0 p0 c0 {4,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {10,S} - -C5H9LR(138) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -5 C u1 p0 c0 {2,S} {4,S} {16,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 R u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} - -C6H10L(139) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {1,S} {3,S} {14,S} -5 C u0 p0 c0 {2,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C10H16R(140) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S} -3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S} -6 C u1 p0 c0 {1,S} {3,S} {4,S} -7 C u0 p0 c0 {5,S} {9,S} {10,D} -8 C u0 p0 c0 {2,S} {9,D} {24,S} -9 C u0 p0 c0 {7,S} {8,D} {25,S} -10 C u0 p0 c0 {7,D} {26,S} {27,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 R u0 p0 c0 {4,S} -22 H u0 p0 c0 {4,S} -23 H u0 p0 c0 {4,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {10,S} - -C8H12L(141) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {3,S} {6,S} -5 C u0 p0 c0 {2,S} {7,D} {16,S} -6 C u0 p0 c0 {4,S} {8,D} {17,S} -7 C u0 p0 c0 {5,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C9H13LR(142) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {2,S} {4,S} {7,S} -6 C u0 p0 c0 {1,S} {3,S} {8,D} -7 C u0 p0 c0 {5,S} {9,D} {20,S} -8 C u0 p0 c0 {6,D} {21,S} {22,S} -9 C u0 p0 c0 {7,D} {23,S} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 R u0 p0 c0 {8,S} -22 H u0 p0 c0 {8,S} -23 L u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C7H11LR(143) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {3,S} {7,D} -6 C u1 p0 c0 {2,S} {4,S} {18,S} -7 C u0 p0 c0 {5,D} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 L u0 p0 c0 {6,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C6H9LR(144) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {8,S} -3 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -4 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S} -5 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} -6 C u1 p0 c0 {2,S} {16,S} {17,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {4,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 R u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C6H9L2(145) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {2,S} {5,S} {14,S} -5 C u0 p0 c0 {4,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 L u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C7H11R2(146) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u1 p0 c0 {1,S} {3,S} {4,S} -6 C u0 p0 c0 {2,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {19,S} {20,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C3H4L(147) -multiplicity 2 -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u1 p0 c0 {1,S} {7,S} {8,S} -4 L u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} - -C7H9LR(148) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -5 C u1 p0 c0 {3,S} {4,S} {15,S} -6 C u0 p0 c0 {1,S} {7,D} {16,S} -7 C u0 p0 c0 {6,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -L[C]1CC1(149) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S} -3 C u1 p0 c0 {1,S} {2,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 L u0 p0 c0 {3,S} - -C7H9LR(150) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {8,S} -2 C u0 p0 c0 {3,S} {5,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -5 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -6 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -7 C u1 p0 c0 {2,S} {6,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 R u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 L u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} - -C7H9LR(151) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -5 C u0 p0 c0 {4,S} {6,D} {15,S} -6 C u0 p0 c0 {3,S} {5,D} {16,S} -7 C u1 p0 c0 {1,S} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 L u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 R u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C7H9L2(152) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u1 p0 c0 {2,S} {5,S} {13,S} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,S} {7,D} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 C u0 p0 c0 {5,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 L u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C7H12R(153) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -5 C u1 p0 c0 {1,S} {3,S} {4,S} -6 C u0 p0 c0 {2,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {19,S} {20,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C7H9LR(154) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {3,S} {4,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -6 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S} -7 C u1 p0 c0 {2,S} {6,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 L u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 R u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} - -CC[C](C)L(155) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -4 C u1 p0 c0 {1,S} {3,S} {13,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 L u0 p0 c0 {4,S} - -C4H7(156) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 C u1 p0 c0 {2,S} {10,S} {11,S} -4 C u0 p0 c0 {2,D} {8,S} {9,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C4H8(157) -1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {4,D} -4 C u0 p0 c0 {3,D} {11,S} {12,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} - -C[C]1CC1(158) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {1,S} {2,S} {3,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C9H15(159) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S} -3 C u0 p0 c0 {2,S} {7,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {3,S} {5,S} {9,D} -8 C u1 p0 c0 {4,S} {6,S} {23,S} -9 C u0 p0 c0 {1,S} {7,D} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} - -C6H9(160) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {3,S} {5,S} {6,D} -5 C u1 p0 c0 {2,S} {4,S} {15,S} -6 C u0 p0 c0 {1,S} {4,D} {14,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {5,S} - -C6H9(161) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {10,S} -4 C u0 p0 c0 {2,S} {6,D} {11,S} -5 C u1 p0 c0 {3,S} {12,S} {13,S} -6 C u0 p0 c0 {4,D} {14,S} {15,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {6,S} - -C8H11L2(162) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {3,S} {6,S} -5 C u0 p0 c0 {2,S} {7,D} {16,S} -6 C u0 p0 c0 {4,S} {8,D} {17,S} -7 C u0 p0 c0 {5,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C6H10(163) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {2,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {13,S} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C8H12L(164) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {6,S} {16,S} -6 C u0 p0 c0 {5,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C6H8R2(165) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {2,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {13,S} {14,S} -6 C u0 p0 c0 {4,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 R u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 R u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C9H14L(166) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {7,D} {8,S} -6 C u1 p0 c0 {1,S} {4,S} {20,S} -7 C u0 p0 c0 {2,S} {5,D} {21,S} -8 C u0 p0 c0 {5,S} {9,D} {22,S} -9 C u0 p0 c0 {8,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 L u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C10H14L(167) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {3,S} {5,D} {7,S} -5 C u0 p0 c0 {1,S} {4,D} {18,S} -6 C u1 p0 c0 {2,S} {8,S} {19,S} -7 C u0 p0 c0 {4,S} {9,D} {20,S} -8 C u0 p0 c0 {6,S} {10,D} {21,S} -9 C u0 p0 c0 {7,D} {22,S} {23,S} -10 C u0 p0 c0 {8,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} -24 L u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C11H16L(168) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u1 p0 c0 {1,S} {3,S} {8,S} -6 C u0 p0 c0 {4,S} {7,D} {9,S} -7 C u0 p0 c0 {2,S} {6,D} {22,S} -8 C u0 p0 c0 {5,S} {11,D} {24,S} -9 C u0 p0 c0 {6,S} {10,D} {23,S} -10 C u0 p0 c0 {9,D} {25,S} {26,S} -11 C u0 p0 c0 {8,D} {27,S} {28,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {3,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {10,S} -27 L u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C6H10L(169) -multiplicity 2 -1 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -2 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {7,S} {8,S} {9,S} -4 C u0 p0 c0 {1,S} {2,S} {6,D} -5 C u1 p0 c0 {3,S} {6,S} {16,S} -6 C u0 p0 c0 {4,D} {5,S} {17,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 L u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} - -C6H9L2(170) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {1,S} {3,S} {14,S} -5 C u0 p0 c0 {2,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 L u0 p0 c0 {4,S} -15 L u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C6H10R(171) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {1,S} {5,S} {14,S} -5 C u0 p0 c0 {4,S} {6,D} {15,S} -6 C u0 p0 c0 {5,D} {16,S} {17,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 R u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} - -C7H11LR(172) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {8,S} -3 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -4 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S} -5 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S} -6 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S} -7 C u1 p0 c0 {1,S} {19,S} {20,S} -8 L u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C5H8(173) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {4,S} {11,S} -4 C u0 p0 c0 {3,S} {5,D} {10,S} -5 C u0 p0 c0 {4,D} {12,S} {13,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} - -C5H7(174) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,D} {7,S} -2 C u0 p0 c0 {1,S} {5,D} {6,S} -3 C u0 p0 c0 {1,D} {4,S} {8,S} -4 C u1 p0 c0 {3,S} {11,S} {12,S} -5 C u0 p0 c0 {2,D} {9,S} {10,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {5,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} - -C9H12L(175) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {5,D} {14,S} -4 C u1 p0 c0 {2,S} {6,S} {15,S} -5 C u0 p0 c0 {3,D} {7,S} {17,S} -6 C u0 p0 c0 {4,S} {9,D} {18,S} -7 C u0 p0 c0 {5,S} {8,D} {16,S} -8 C u0 p0 c0 {7,D} {19,S} {20,S} -9 C u0 p0 c0 {6,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {8,S} -21 L u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C8H12L(176) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {3,S} {16,S} -5 C u0 p0 c0 {2,S} {6,D} {17,S} -6 C u0 p0 c0 {5,D} {7,S} {19,S} -7 C u0 p0 c0 {6,S} {8,D} {18,S} -8 C u0 p0 c0 {7,D} {20,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 L u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C9H14R(177) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {1,S} {3,S} {4,S} -6 C u0 p0 c0 {2,S} {7,D} {20,S} -7 C u0 p0 c0 {6,D} {8,S} {22,S} -8 C u0 p0 c0 {7,S} {9,D} {21,S} -9 C u0 p0 c0 {8,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 R u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C5H7(178) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} -3 C u1 p0 c0 {1,S} {5,S} {10,S} -4 C u0 p0 c0 {2,S} {5,D} {11,S} -5 C u0 p0 c0 {3,S} {4,D} {12,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} - -C10H14(179) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {2,S} {6,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {6,D} {19,S} -6 C u0 p0 c0 {4,S} {5,D} {18,S} -7 C u0 p0 c0 {3,S} {8,D} {20,S} -8 C u0 p0 c0 {7,D} {9,S} {22,S} -9 C u0 p0 c0 {8,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C5H8(180) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -4 C u0 p0 c0 {2,S} {5,D} {12,S} -5 C u0 p0 c0 {3,S} {4,D} {13,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} - -C11H17(181) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -5 C u1 p0 c0 {1,S} {3,S} {8,S} -6 C u0 p0 c0 {2,S} {9,D} {22,S} -7 C u0 p0 c0 {4,S} {8,D} {23,S} -8 C u0 p0 c0 {5,S} {7,D} {26,S} -9 C u0 p0 c0 {6,D} {10,S} {25,S} -10 C u0 p0 c0 {9,S} {11,D} {24,S} -11 C u0 p0 c0 {10,D} {27,S} {28,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C10H14L(182) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u1 p0 c0 {1,S} {3,S} {6,S} -5 C u0 p0 c0 {2,S} {7,D} {18,S} -6 C u0 p0 c0 {4,S} {10,D} {21,S} -7 C u0 p0 c0 {5,D} {8,S} {20,S} -8 C u0 p0 c0 {7,S} {9,D} {19,S} -9 C u0 p0 c0 {8,D} {22,S} {23,S} -10 C u0 p0 c0 {6,D} {24,S} {25,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} -24 L u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C10H15(183) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -4 C u1 p0 c0 {2,S} {7,S} {20,S} -5 C u0 p0 c0 {1,S} {8,D} {18,S} -6 C u0 p0 c0 {3,S} {7,D} {19,S} -7 C u0 p0 c0 {4,S} {6,D} {23,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {8,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C10H14(184) -1 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {5,D} {15,S} -4 C u0 p0 c0 {2,S} {6,D} {16,S} -5 C u0 p0 c0 {3,D} {7,S} {18,S} -6 C u0 p0 c0 {4,D} {8,S} {20,S} -7 C u0 p0 c0 {5,S} {9,D} {17,S} -8 C u0 p0 c0 {6,S} {10,D} {19,S} -9 C u0 p0 c0 {7,D} {21,S} {22,S} -10 C u0 p0 c0 {8,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C9H12L(185) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {5,D} {14,S} -4 C u1 p0 c0 {2,S} {6,S} {15,S} -5 C u0 p0 c0 {3,D} {7,S} {17,S} -6 C u0 p0 c0 {4,S} {9,D} {18,S} -7 C u0 p0 c0 {5,S} {8,D} {16,S} -8 C u0 p0 c0 {7,D} {19,S} {20,S} -9 C u0 p0 c0 {6,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 L u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C10H14(186) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {6,S} {15,S} {16,S} -5 C u0 p0 c0 {3,S} {9,S} {17,S} {18,S} -6 C u0 p0 c0 {4,S} {10,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {9,D} {22,S} -8 C u0 p0 c0 {2,S} {10,D} {24,S} -9 C u0 p0 c0 {5,S} {7,D} {21,S} -10 C u0 p0 c0 {6,S} {8,D} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {8,S} - -C5H6(187) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,D} {8,S} -3 C u0 p0 c0 {1,S} {5,D} {9,S} -4 C u0 p0 c0 {2,D} {5,S} {10,S} -5 C u0 p0 c0 {3,D} {4,S} {11,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {5,S} - -C11H18L(188) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -3 C u0 p0 c0 {4,S} {7,S} {18,S} {19,S} -4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -6 C u0 p0 c0 {7,S} {23,S} {24,S} {25,S} -7 C u1 p0 c0 {2,S} {3,S} {6,S} -8 C u0 p0 c0 {4,S} {9,D} {26,S} -9 C u0 p0 c0 {8,D} {10,S} {28,S} -10 C u0 p0 c0 {9,S} {11,D} {27,S} -11 C u0 p0 c0 {10,D} {29,S} {30,S} -12 L u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {10,S} -28 H u0 p0 c0 {9,S} -29 H u0 p0 c0 {11,S} -30 H u0 p0 c0 {11,S} - -C5H5(189) -multiplicity 2 -1 C u1 p0 c0 {3,S} {5,S} {9,S} -2 C u0 p0 c0 {3,D} {4,S} {6,S} -3 C u0 p0 c0 {1,S} {2,D} {7,S} -4 C u0 p0 c0 {2,S} {5,D} {8,S} -5 C u0 p0 c0 {1,S} {4,D} {10,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {5,S} - -C9H14L(190) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {2,S} {4,S} {7,S} -6 C u0 p0 c0 {1,S} {3,S} {8,D} -7 C u0 p0 c0 {5,S} {9,D} {20,S} -8 C u0 p0 c0 {6,D} {21,S} {22,S} -9 C u0 p0 c0 {7,D} {23,S} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {8,S} -23 L u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C8H13(191) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {3,S} {16,S} -5 C u0 p0 c0 {2,S} {6,D} {17,S} -6 C u0 p0 c0 {5,D} {7,S} {19,S} -7 C u0 p0 c0 {6,S} {8,D} {18,S} -8 C u0 p0 c0 {7,D} {20,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C12H20R(192) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -3 C u0 p0 c0 {4,S} {8,S} {18,S} {19,S} -4 C u0 p0 c0 {3,S} {9,S} {14,S} {15,S} -5 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S} -7 C u0 p0 c0 {8,S} {26,S} {27,S} {28,S} -8 C u1 p0 c0 {2,S} {3,S} {7,S} -9 C u0 p0 c0 {4,S} {10,D} {29,S} -10 C u0 p0 c0 {9,D} {11,S} {31,S} -11 C u0 p0 c0 {10,S} {12,D} {30,S} -12 C u0 p0 c0 {11,D} {32,S} {33,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 R u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {7,S} -29 H u0 p0 c0 {9,S} -30 H u0 p0 c0 {11,S} -31 H u0 p0 c0 {10,S} -32 H u0 p0 c0 {12,S} -33 H u0 p0 c0 {12,S} - -C7H12L(193) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u1 p0 c0 {2,S} {7,S} {18,S} -6 C u0 p0 c0 {4,S} {7,D} {19,S} -7 C u0 p0 c0 {5,S} {6,D} {20,S} -8 L u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} - -C8H12(194) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {5,D} {13,S} -4 C u0 p0 c0 {2,S} {7,D} {14,S} -5 C u0 p0 c0 {3,D} {6,S} {16,S} -6 C u0 p0 c0 {5,S} {8,D} {15,S} -7 C u0 p0 c0 {4,D} {19,S} {20,S} -8 C u0 p0 c0 {6,D} {17,S} {18,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {8,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -[CH2]CC(195) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u1 p0 c0 {1,S} {9,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} - -C2H4(196) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} - -C8H13(197) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S} -5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -6 C u0 p0 c0 {2,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {8,S} {19,S} -8 C u1 p0 c0 {7,S} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C8H13(198) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {1,S} {8,D} {15,S} -6 C u1 p0 c0 {2,S} {16,S} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {5,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C7H12R(199) -multiplicity 2 -1 C u0 p0 c0 {5,S} {8,S} {9,S} {10,S} -2 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S} -3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {1,S} {2,S} {7,S} -6 C u0 p0 c0 {3,S} {4,S} {7,D} -7 C u0 p0 c0 {5,S} {6,D} {20,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 R u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} - -C10H14(200) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {8,D} {14,S} -4 C u0 p0 c0 {1,S} {9,D} {15,S} -5 C u0 p0 c0 {2,S} {6,D} {16,S} -6 C u0 p0 c0 {5,D} {7,S} {18,S} -7 C u0 p0 c0 {6,S} {10,D} {17,S} -8 C u0 p0 c0 {3,D} {19,S} {20,S} -9 C u0 p0 c0 {4,D} {21,S} {22,S} -10 C u0 p0 c0 {7,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C10H12(201) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {6,D} {14,S} -4 C u0 p0 c0 {1,S} {7,D} {15,S} -5 C u0 p0 c0 {2,S} {8,D} {16,S} -6 C u0 p0 c0 {3,D} {7,S} {17,S} -7 C u0 p0 c0 {4,D} {6,S} {18,S} -8 C u0 p0 c0 {5,D} {9,S} {20,S} -9 C u0 p0 c0 {8,S} {10,D} {19,S} -10 C u0 p0 c0 {9,D} {21,S} {22,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {10,S} - -C10H13(202) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -4 C u1 p0 c0 {1,S} {7,S} {17,S} -5 C u0 p0 c0 {2,S} {8,D} {16,S} -6 C u0 p0 c0 {3,S} {7,D} {18,S} -7 C u0 p0 c0 {4,S} {6,D} {21,S} -8 C u0 p0 c0 {5,D} {9,S} {20,S} -9 C u0 p0 c0 {8,S} {10,D} {19,S} -10 C u0 p0 c0 {9,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C5H9L2(203) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -5 C u1 p0 c0 {2,S} {4,S} {16,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 L u0 p0 c0 {5,S} - -C11H16(204) -1 C u0 p0 c0 {2,S} {4,S} {7,S} {12,S} -2 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S} -3 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -4 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {3,S} {5,S} {7,D} -7 C u0 p0 c0 {1,S} {6,D} {23,S} -8 C u0 p0 c0 {4,S} {9,D} {22,S} -9 C u0 p0 c0 {8,D} {10,S} {25,S} -10 C u0 p0 c0 {9,S} {11,D} {24,S} -11 C u0 p0 c0 {10,D} {26,S} {27,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {11,S} - -C10H14L(205) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {3,S} {5,S} {9,D} -5 C u1 p0 c0 {2,S} {4,S} {19,S} -6 C u0 p0 c0 {1,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {8,S} {21,S} -8 C u0 p0 c0 {7,S} {10,D} {20,S} -9 C u0 p0 c0 {4,D} {24,S} {25,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 L u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} - -C7H11LR(206) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} -5 C u1 p0 c0 {2,S} {6,S} {17,S} -6 C u0 p0 c0 {5,S} {7,D} {18,S} -7 C u0 p0 c0 {6,D} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C8H9R(207) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {6,D} {12,S} -4 C u0 p0 c0 {1,S} {7,D} {13,S} -5 C u0 p0 c0 {2,S} {8,D} {14,S} -6 C u0 p0 c0 {3,D} {7,S} {15,S} -7 C u0 p0 c0 {4,D} {6,S} {16,S} -8 C u0 p0 c0 {5,D} {17,S} {18,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {7,S} -17 R u0 p0 c0 {8,S} -18 H u0 p0 c0 {8,S} - -C8H11LR(208) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} -5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -6 C u1 p0 c0 {3,S} {4,S} {5,S} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {7,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 R u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C8H11LR(209) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {7,S} -2 C u0 p0 c0 {3,S} {5,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -5 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -6 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -7 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -8 C u1 p0 c0 {2,S} {6,S} {21,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 R u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 L u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} - -C10H13(210) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {12,S} -3 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S} -4 C u1 p0 c0 {1,S} {8,S} {18,S} -5 C u0 p0 c0 {2,S} {9,D} {15,S} -6 C u0 p0 c0 {2,S} {10,D} {16,S} -7 C u0 p0 c0 {3,S} {8,D} {17,S} -8 C u0 p0 c0 {4,S} {7,D} {19,S} -9 C u0 p0 c0 {5,D} {20,S} {21,S} -10 C u0 p0 c0 {6,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C11H16(211) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {1,S} {7,D} {23,S} -7 C u0 p0 c0 {4,S} {6,D} {22,S} -8 C u0 p0 c0 {3,S} {9,D} {21,S} -9 C u0 p0 c0 {8,D} {10,S} {25,S} -10 C u0 p0 c0 {9,S} {11,D} {24,S} -11 C u0 p0 c0 {10,D} {26,S} {27,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {11,S} - -C7H9LR(212) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -4 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -5 C u0 p0 c0 {3,S} {6,D} {15,S} -6 C u0 p0 c0 {4,S} {5,D} {16,S} -7 C u1 p0 c0 {1,S} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 R u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C8H11R(213) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {5,D} {13,S} -4 C u0 p0 c0 {2,S} {7,D} {14,S} -5 C u0 p0 c0 {3,D} {6,S} {16,S} -6 C u0 p0 c0 {5,S} {8,D} {15,S} -7 C u0 p0 c0 {4,D} {19,S} {20,S} -8 C u0 p0 c0 {6,D} {17,S} {18,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {8,S} -18 H u0 p0 c0 {8,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C8H14R(214) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {7,S} {18,S} {19,S} {20,S} -6 C u1 p0 c0 {2,S} {8,S} {22,S} -7 C u0 p0 c0 {5,S} {8,D} {21,S} -8 C u0 p0 c0 {6,S} {7,D} {23,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {8,S} - -C7H9LR(215) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {8,S} -2 C u0 p0 c0 {3,S} {5,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S} -5 C u0 p0 c0 {2,S} {4,S} {12,S} {13,S} -6 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -7 C u1 p0 c0 {2,S} {6,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} -14 L u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 R u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} - -C8H13R2(216) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {7,S} {9,S} {10,S} -3 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {7,S} {13,S} {14,S} {15,S} -6 C u1 p0 c0 {1,S} {3,S} {4,S} -7 C u0 p0 c0 {2,S} {5,S} {8,D} -8 C u0 p0 c0 {7,D} {22,S} {23,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 R u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 R u0 p0 c0 {8,S} -23 H u0 p0 c0 {8,S} - -C7H9LR(217) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -5 C u1 p0 c0 {3,S} {4,S} {15,S} -6 C u0 p0 c0 {1,S} {7,D} {16,S} -7 C u0 p0 c0 {6,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {4,S} -13 L u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 R u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C7H9LR(218) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S} -3 C u0 p0 c0 {2,S} {5,D} {13,S} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {7,S} {14,S} -6 C u0 p0 c0 {4,D} {17,S} {18,S} -7 C u1 p0 c0 {5,S} {15,S} {16,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 R u0 p0 c0 {7,S} -16 H u0 p0 c0 {7,S} -17 L u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} - -C3H4L(219) -multiplicity 2 -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u1 p0 c0 {1,S} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 L u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} - -C4H5R(220) -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,D} {6,S} -3 C u0 p0 c0 {1,D} {7,S} {8,S} -4 C u0 p0 c0 {2,D} {9,S} {10,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 R u0 p0 c0 {4,S} -10 H u0 p0 c0 {4,S} - -C7H9(221) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {7,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,D} {11,S} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {6,S} {13,S} -6 C u0 p0 c0 {4,D} {5,S} {14,S} -7 C u1 p0 c0 {2,S} {15,S} {16,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {7,S} -16 H u0 p0 c0 {7,S} - -C9H12R(222) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {5,D} {14,S} -4 C u1 p0 c0 {2,S} {6,S} {15,S} -5 C u0 p0 c0 {3,D} {7,S} {17,S} -6 C u0 p0 c0 {4,S} {9,D} {18,S} -7 C u0 p0 c0 {5,S} {8,D} {16,S} -8 C u0 p0 c0 {7,D} {19,S} {20,S} -9 C u0 p0 c0 {6,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {8,S} -21 R u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C9H15(223) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {1,S} {3,S} {4,S} -6 C u0 p0 c0 {2,S} {7,D} {20,S} -7 C u0 p0 c0 {6,D} {8,S} {22,S} -8 C u0 p0 c0 {7,S} {9,D} {21,S} -9 C u0 p0 c0 {8,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C4H6R(224) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 C u1 p0 c0 {2,S} {10,S} {11,S} -5 R u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} - -RC[C]1CC1(225) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {1,S} {2,S} {3,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 R u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} - -C11H15(226) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {7,S} {8,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {4,S} {9,D} -6 C u1 p0 c0 {1,S} {9,S} {21,S} -7 C u0 p0 c0 {2,S} {10,D} {19,S} -8 C u0 p0 c0 {2,S} {11,D} {20,S} -9 C u0 p0 c0 {5,D} {6,S} {22,S} -10 C u0 p0 c0 {7,D} {23,S} {24,S} -11 C u0 p0 c0 {8,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C9H14R(227) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {1,S} {3,S} {4,S} -6 C u0 p0 c0 {2,S} {7,D} {20,S} -7 C u0 p0 c0 {6,D} {8,S} {22,S} -8 C u0 p0 c0 {7,S} {9,D} {21,S} -9 C u0 p0 c0 {8,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C9H13LR(228) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {2,S} {4,S} {7,S} -6 C u0 p0 c0 {1,S} {3,S} {8,D} -7 C u0 p0 c0 {5,S} {9,D} {20,S} -8 C u0 p0 c0 {6,D} {21,S} {22,S} -9 C u0 p0 c0 {7,D} {23,S} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 R u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {8,S} -23 L u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C11H16(229) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {7,S} {17,S} {18,S} -5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {1,S} {5,S} {7,D} -7 C u0 p0 c0 {4,S} {6,D} {23,S} -8 C u0 p0 c0 {3,S} {9,D} {22,S} -9 C u0 p0 c0 {8,D} {10,S} {25,S} -10 C u0 p0 c0 {9,S} {11,D} {24,S} -11 C u0 p0 c0 {10,D} {26,S} {27,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {11,S} - -C7H10L(230) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {4,D} {12,S} -4 C u0 p0 c0 {3,D} {5,S} {14,S} -5 C u0 p0 c0 {4,S} {7,D} {13,S} -6 C u1 p0 c0 {2,S} {15,S} {16,S} -7 C u0 p0 c0 {5,D} {17,S} {18,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {4,S} -15 L u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {7,S} - -C9H15(231) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {9,S} {13,S} {14,S} -5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {1,S} {5,S} {9,D} -8 C u1 p0 c0 {3,S} {6,S} {23,S} -9 C u0 p0 c0 {4,S} {7,D} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} - -C10H16R(232) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S} -3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S} -6 C u1 p0 c0 {1,S} {3,S} {4,S} -7 C u0 p0 c0 {5,S} {8,D} {9,S} -8 C u0 p0 c0 {2,S} {7,D} {24,S} -9 C u0 p0 c0 {7,S} {10,D} {25,S} -10 C u0 p0 c0 {9,D} {26,S} {27,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 R u0 p0 c0 {4,S} -22 H u0 p0 c0 {4,S} -23 H u0 p0 c0 {4,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {10,S} - -C11H15(233) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {4,S} {6,S} {7,D} -6 C u1 p0 c0 {1,S} {5,S} {22,S} -7 C u0 p0 c0 {3,S} {5,D} {21,S} -8 C u0 p0 c0 {2,S} {10,D} {19,S} -9 C u0 p0 c0 {2,S} {11,D} {20,S} -10 C u0 p0 c0 {8,D} {23,S} {24,S} -11 C u0 p0 c0 {9,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C11H15(234) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {4,S} {8,D} -6 C u1 p0 c0 {3,S} {8,S} {21,S} -7 C u0 p0 c0 {2,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {6,S} {24,S} -9 C u0 p0 c0 {7,D} {10,S} {23,S} -10 C u0 p0 c0 {9,S} {11,D} {22,S} -11 C u0 p0 c0 {10,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C10H15(235) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {7,D} {18,S} -5 C u0 p0 c0 {2,S} {6,D} {17,S} -6 C u0 p0 c0 {5,D} {8,S} {20,S} -7 C u0 p0 c0 {4,D} {9,S} {21,S} -8 C u0 p0 c0 {6,S} {10,D} {19,S} -9 C u1 p0 c0 {7,S} {24,S} {25,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} - -C8H11LR(236) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {6,S} {16,S} -6 C u0 p0 c0 {5,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {6,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {7,S} -20 L u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C7H12L(237) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {3,S} {7,D} -6 C u1 p0 c0 {2,S} {4,S} {18,S} -7 C u0 p0 c0 {5,D} {19,S} {20,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 L u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {7,S} - -C11H17(238) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {9,S} {23,S} -7 C u0 p0 c0 {4,S} {9,D} {22,S} -8 C u0 p0 c0 {5,D} {10,S} {24,S} -9 C u0 p0 c0 {6,S} {7,D} {26,S} -10 C u0 p0 c0 {8,S} {11,D} {25,S} -11 C u0 p0 c0 {10,D} {27,S} {28,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C6H7(239) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,D} {6,S} -3 C u0 p0 c0 {1,S} {5,D} {9,S} -4 C u0 p0 c0 {2,D} {5,S} {11,S} -5 C u0 p0 c0 {3,D} {4,S} {10,S} -6 C u1 p0 c0 {2,S} {12,S} {13,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {6,S} -13 H u0 p0 c0 {6,S} - -C10H13R(240) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u0 p0 c0 {3,S} {8,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {6,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 C u0 p0 c0 {6,D} {21,S} {22,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 R u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C9H12L(241) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {4,S} {19,S} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 L u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} - -C8H11(242) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S} -3 C u0 p0 c0 {4,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {15,S} -6 C u0 p0 c0 {3,S} {5,D} {14,S} -7 C u1 p0 c0 {2,S} {16,S} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} - -C10H12L(243) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {9,S} {18,S} -6 C u0 p0 c0 {3,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {20,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 C u0 p0 c0 {5,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 L u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C12H14(244) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {9,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {11,D} -6 C u0 p0 c0 {3,S} {10,S} {12,D} -7 C u0 p0 c0 {1,S} {10,D} {19,S} -8 C u0 p0 c0 {2,S} {9,D} {21,S} -9 C u0 p0 c0 {4,S} {8,D} {20,S} -10 C u0 p0 c0 {6,S} {7,D} {22,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {6,D} {23,S} {24,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {12,S} -24 H u0 p0 c0 {12,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C9H12L(245) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {9,S} {21,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 L u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C11H14(246) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {7,S} {10,D} -5 C u0 p0 c0 {1,S} {7,D} {17,S} -6 C u0 p0 c0 {3,S} {8,D} {18,S} -7 C u0 p0 c0 {4,S} {5,D} {19,S} -8 C u0 p0 c0 {6,D} {9,S} {21,S} -9 C u0 p0 c0 {8,S} {11,D} {20,S} -10 C u0 p0 c0 {4,D} {22,S} {23,S} -11 C u0 p0 c0 {9,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C10H14R(247) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S} -6 C u1 p0 c0 {1,S} {4,S} {5,S} -7 C u0 p0 c0 {2,S} {3,S} {9,D} -8 C u0 p0 c0 {3,S} {10,D} {23,S} -9 C u0 p0 c0 {7,D} {10,S} {25,S} -10 C u0 p0 c0 {8,D} {9,S} {24,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 R u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} - -C11H14L(248) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {4,S} {9,S} -7 C u0 p0 c0 {3,S} {10,D} {21,S} -8 C u0 p0 c0 {5,D} {10,S} {23,S} -9 C u0 p0 c0 {6,S} {11,D} {24,S} -10 C u0 p0 c0 {7,D} {8,S} {22,S} -11 C u0 p0 c0 {9,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 L u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C10H12L(249) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S} -6 C u0 p0 c0 {4,S} {5,S} {9,D} -7 C u1 p0 c0 {2,S} {9,S} {19,S} -8 C u0 p0 c0 {1,S} {10,D} {20,S} -9 C u0 p0 c0 {6,D} {7,S} {21,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 L u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C10H14R(250) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {4,S} {5,S} {10,D} -9 C u1 p0 c0 {2,S} {10,S} {24,S} -10 C u0 p0 c0 {8,D} {9,S} {25,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 R u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} - -C11H14(251) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {10,D} -5 C u0 p0 c0 {1,S} {6,D} {18,S} -6 C u0 p0 c0 {3,S} {5,D} {17,S} -7 C u0 p0 c0 {2,S} {8,D} {19,S} -8 C u0 p0 c0 {7,D} {9,S} {21,S} -9 C u0 p0 c0 {8,S} {11,D} {20,S} -10 C u0 p0 c0 {4,D} {22,S} {23,S} -11 C u0 p0 c0 {9,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C6H6(252) -1 C u0 p0 c0 {2,S} {3,S} {6,D} -2 C u0 p0 c0 {1,S} {4,D} {7,S} -3 C u0 p0 c0 {1,S} {5,D} {9,S} -4 C u0 p0 c0 {2,D} {5,S} {8,S} -5 C u0 p0 c0 {3,D} {4,S} {10,S} -6 C u0 p0 c0 {1,D} {11,S} {12,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {6,S} -12 H u0 p0 c0 {6,S} - -C9H15L2(253) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {1,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {6,S} {25,S} -9 C u0 p0 c0 {3,S} {7,D} {26,S} -10 L u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 L u0 p0 c0 {8,S} -26 H u0 p0 c0 {9,S} - -C12H14(254) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {14,S} -3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {9,S} {11,D} -6 C u0 p0 c0 {4,S} {10,S} {12,D} -7 C u0 p0 c0 {1,S} {9,D} {19,S} -8 C u0 p0 c0 {2,S} {10,D} {20,S} -9 C u0 p0 c0 {5,S} {7,D} {21,S} -10 C u0 p0 c0 {6,S} {8,D} {22,S} -11 C u0 p0 c0 {5,D} {23,S} {24,S} -12 C u0 p0 c0 {6,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} - -C12H14(255) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {14,S} -3 C u0 p0 c0 {5,S} {9,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {10,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {2,S} {4,S} {12,D} -7 C u0 p0 c0 {1,S} {9,D} {20,S} -8 C u0 p0 c0 {2,S} {10,D} {22,S} -9 C u0 p0 c0 {3,S} {7,D} {19,S} -10 C u0 p0 c0 {4,S} {8,D} {21,S} -11 C u0 p0 c0 {5,D} {23,S} {24,S} -12 C u0 p0 c0 {6,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {9,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} - -C11H15(256) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {8,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u1 p0 c0 {2,S} {10,S} {23,S} -7 C u0 p0 c0 {3,S} {11,D} {21,S} -8 C u0 p0 c0 {4,S} {10,D} {22,S} -9 C u0 p0 c0 {5,D} {11,S} {25,S} -10 C u0 p0 c0 {6,S} {8,D} {26,S} -11 C u0 p0 c0 {7,D} {9,S} {24,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} - -C12H14(257) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S} -3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -4 C u0 p0 c0 {5,S} {8,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {4,S} {10,D} -6 C u0 p0 c0 {3,S} {9,S} {12,D} -7 C u0 p0 c0 {1,S} {9,D} {20,S} -8 C u0 p0 c0 {4,S} {11,D} {21,S} -9 C u0 p0 c0 {6,S} {7,D} {22,S} -10 C u0 p0 c0 {5,D} {11,S} {24,S} -11 C u0 p0 c0 {8,D} {10,S} {23,S} -12 C u0 p0 c0 {6,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} - -C11H14L(258) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {7,S} {15,S} {16,S} -6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -7 C u0 p0 c0 {4,S} {5,S} {10,D} -8 C u0 p0 c0 {1,S} {11,D} {23,S} -9 C u1 p0 c0 {2,S} {10,S} {22,S} -10 C u0 p0 c0 {7,D} {9,S} {24,S} -11 C u0 p0 c0 {8,D} {25,S} {26,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 L u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C12H18L(259) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {9,S} {15,S} {16,S} -5 C u0 p0 c0 {9,S} {10,S} {21,S} {22,S} -6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S} -7 C u0 p0 c0 {8,S} {26,S} {27,S} {28,S} -8 C u1 p0 c0 {2,S} {3,S} {7,S} -9 C u0 p0 c0 {4,S} {5,S} {11,D} -10 C u0 p0 c0 {5,S} {12,D} {29,S} -11 C u0 p0 c0 {9,D} {12,S} {31,S} -12 C u0 p0 c0 {10,D} {11,S} {30,S} -13 L u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {7,S} -29 H u0 p0 c0 {10,S} -30 H u0 p0 c0 {12,S} -31 H u0 p0 c0 {11,S} - -C9H13(260) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {8,S} {9,D} -6 C u1 p0 c0 {3,S} {4,S} {18,S} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {5,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C12H14(261) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {9,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {12,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {21,S} -8 C u0 p0 c0 {3,S} {7,D} {20,S} -9 C u0 p0 c0 {4,S} {11,D} {22,S} -10 C u0 p0 c0 {6,D} {11,S} {24,S} -11 C u0 p0 c0 {9,D} {10,S} {23,S} -12 C u0 p0 c0 {5,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} - -C5H7L(262) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {4,S} {10,S} -4 C u0 p0 c0 {3,S} {5,D} {11,S} -5 C u0 p0 c0 {4,D} {12,S} {13,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 L u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {5,S} - -C9H11R(263) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {8,D} -5 C u0 p0 c0 {1,S} {7,D} {15,S} -6 C u0 p0 c0 {3,S} {9,D} {16,S} -7 C u0 p0 c0 {4,S} {5,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 R u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C9H11R(264) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {16,S} -6 C u0 p0 c0 {3,S} {5,D} {15,S} -7 C u0 p0 c0 {2,S} {9,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 R u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C11H15(265) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {7,S} {16,S} {17,S} -6 C u0 p0 c0 {10,S} {20,S} {21,S} {22,S} -7 C u1 p0 c0 {4,S} {5,S} {11,S} -8 C u0 p0 c0 {1,S} {10,D} {25,S} -9 C u0 p0 c0 {2,S} {11,D} {24,S} -10 C u0 p0 c0 {6,S} {8,D} {23,S} -11 C u0 p0 c0 {7,S} {9,D} {26,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {11,S} - -C12H17(266) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -3 C u0 p0 c0 {6,S} {8,S} {17,S} {18,S} -4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {9,S} {22,S} {23,S} {24,S} -6 C u0 p0 c0 {1,S} {3,S} {11,D} -7 C u1 p0 c0 {2,S} {4,S} {10,S} -8 C u0 p0 c0 {3,S} {12,D} {25,S} -9 C u0 p0 c0 {5,S} {10,D} {26,S} -10 C u0 p0 c0 {7,S} {9,D} {29,S} -11 C u0 p0 c0 {6,D} {12,S} {28,S} -12 C u0 p0 c0 {8,D} {11,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 H u0 p0 c0 {5,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} -29 H u0 p0 c0 {10,S} - -C12H16(267) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {14,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {7,S} {19,S} {20,S} -6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {5,S} {6,S} {9,D} -8 C u0 p0 c0 {4,S} {11,S} {12,D} -9 C u0 p0 c0 {1,S} {7,D} {25,S} -10 C u0 p0 c0 {2,S} {11,D} {24,S} -11 C u0 p0 c0 {8,S} {10,D} {26,S} -12 C u0 p0 c0 {8,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C9H11R(268) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {8,D} -5 C u0 p0 c0 {1,S} {7,D} {15,S} -6 C u0 p0 c0 {3,S} {9,D} {16,S} -7 C u0 p0 c0 {4,S} {5,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 R u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C12H16(269) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {14,S} -3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S} -4 C u0 p0 c0 {3,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {11,S} {19,S} {20,S} -6 C u0 p0 c0 {8,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {5,S} {12,D} -8 C u0 p0 c0 {4,S} {6,S} {9,D} -9 C u0 p0 c0 {1,S} {8,D} {26,S} -10 C u0 p0 c0 {2,S} {11,D} {25,S} -11 C u0 p0 c0 {5,S} {10,D} {24,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C9H11R(270) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {16,S} -6 C u0 p0 c0 {3,S} {5,D} {15,S} -7 C u0 p0 c0 {2,S} {9,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 R u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C11H14(271) -1 C u0 p0 c0 {2,S} {4,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {4,S} {6,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {2,S} {9,D} {19,S} -6 C u0 p0 c0 {3,S} {8,D} {18,S} -7 C u0 p0 c0 {4,D} {8,S} {21,S} -8 C u0 p0 c0 {6,D} {7,S} {20,S} -9 C u0 p0 c0 {5,D} {10,S} {23,S} -10 C u0 p0 c0 {9,S} {11,D} {22,S} -11 C u0 p0 c0 {10,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C9H12(272) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {8,D} -5 C u0 p0 c0 {1,S} {7,D} {15,S} -6 C u0 p0 c0 {3,S} {9,D} {16,S} -7 C u0 p0 c0 {4,S} {5,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C12H16(273) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {10,S} {18,S} {19,S} -6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {4,S} {11,S} {12,D} -8 C u0 p0 c0 {1,S} {10,D} {25,S} -9 C u0 p0 c0 {2,S} {11,D} {23,S} -10 C u0 p0 c0 {5,S} {8,D} {24,S} -11 C u0 p0 c0 {7,S} {9,D} {26,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C11H14(274) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {6,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {9,S} {18,S} {19,S} -6 C u0 p0 c0 {4,S} {10,S} {11,D} -7 C u0 p0 c0 {1,S} {9,D} {22,S} -8 C u0 p0 c0 {2,S} {10,D} {20,S} -9 C u0 p0 c0 {5,S} {7,D} {21,S} -10 C u0 p0 c0 {6,S} {8,D} {23,S} -11 C u0 p0 c0 {6,D} {24,S} {25,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C9H12(275) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {16,S} -6 C u0 p0 c0 {3,S} {5,D} {15,S} -7 C u0 p0 c0 {2,S} {9,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C11H14(276) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {13,S} -3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -4 C u0 p0 c0 {3,S} {9,S} {16,S} {17,S} -5 C u0 p0 c0 {6,S} {10,S} {18,S} {19,S} -6 C u0 p0 c0 {2,S} {5,S} {11,D} -7 C u0 p0 c0 {1,S} {9,D} {23,S} -8 C u0 p0 c0 {2,S} {10,D} {21,S} -9 C u0 p0 c0 {4,S} {7,D} {22,S} -10 C u0 p0 c0 {5,S} {8,D} {20,S} -11 C u0 p0 c0 {6,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {10,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C12H14(277) -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {8,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {3,S} {11,D} {21,S} -8 C u0 p0 c0 {4,S} {12,D} {22,S} -9 C u0 p0 c0 {5,D} {11,S} {24,S} -10 C u0 p0 c0 {6,D} {12,S} {26,S} -11 C u0 p0 c0 {7,D} {9,S} {23,S} -12 C u0 p0 c0 {8,D} {10,S} {25,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {10,S} - -C11H14(278) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S} -3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -4 C u0 p0 c0 {3,S} {8,S} {9,D} -5 C u0 p0 c0 {1,S} {8,D} {18,S} -6 C u0 p0 c0 {2,S} {10,D} {16,S} -7 C u0 p0 c0 {2,S} {11,D} {17,S} -8 C u0 p0 c0 {4,S} {5,D} {19,S} -9 C u0 p0 c0 {4,D} {24,S} {25,S} -10 C u0 p0 c0 {6,D} {20,S} {21,S} -11 C u0 p0 c0 {7,D} {22,S} {23,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {10,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} - -C11H14(279) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {7,S} {8,S} {13,S} -3 C u0 p0 c0 {4,S} {6,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {9,D} -5 C u0 p0 c0 {1,S} {6,D} {17,S} -6 C u0 p0 c0 {3,S} {5,D} {16,S} -7 C u0 p0 c0 {2,S} {10,D} {18,S} -8 C u0 p0 c0 {2,S} {11,D} {19,S} -9 C u0 p0 c0 {4,D} {20,S} {21,S} -10 C u0 p0 c0 {7,D} {22,S} {23,S} -11 C u0 p0 c0 {8,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C12H16(280) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {7,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -4 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S} -5 C u0 p0 c0 {7,S} {11,S} {18,S} {19,S} -6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {2,S} {5,S} {12,D} -8 C u0 p0 c0 {1,S} {10,D} {26,S} -9 C u0 p0 c0 {2,S} {11,D} {24,S} -10 C u0 p0 c0 {4,S} {8,D} {25,S} -11 C u0 p0 c0 {5,S} {9,D} {23,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C13H20R(281) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {7,S} {14,S} -2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S} -5 C u0 p0 c0 {10,S} {11,S} {21,S} {22,S} -6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S} -7 C u0 p0 c0 {1,S} {26,S} {27,S} {28,S} -8 C u0 p0 c0 {9,S} {29,S} {30,S} {31,S} -9 C u1 p0 c0 {2,S} {3,S} {8,S} -10 C u0 p0 c0 {4,S} {5,S} {12,D} -11 C u0 p0 c0 {5,S} {13,D} {32,S} -12 C u0 p0 c0 {10,D} {13,S} {34,S} -13 C u0 p0 c0 {11,D} {12,S} {33,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 R u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {7,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {8,S} -31 H u0 p0 c0 {8,S} -32 H u0 p0 c0 {11,S} -33 H u0 p0 c0 {13,S} -34 H u0 p0 c0 {12,S} - -C10H12L(282) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {11,S} -2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {9,D} -5 C u0 p0 c0 {1,S} {7,D} {16,S} -6 C u1 p0 c0 {3,S} {8,S} {17,S} -7 C u0 p0 c0 {4,S} {5,D} {18,S} -8 C u0 p0 c0 {6,S} {10,D} {19,S} -9 C u0 p0 c0 {4,D} {20,S} {21,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 L u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C12H15(283) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S} -3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {10,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {2,S} {4,S} {12,D} -7 C u0 p0 c0 {3,S} {5,S} {11,D} -8 C u1 p0 c0 {1,S} {11,S} {24,S} -9 C u0 p0 c0 {2,S} {10,D} {23,S} -10 C u0 p0 c0 {4,S} {9,D} {22,S} -11 C u0 p0 c0 {7,D} {8,S} {25,S} -12 C u0 p0 c0 {6,D} {26,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {12,S} - -C11H12(284) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S} -3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -4 C u0 p0 c0 {3,S} {8,S} {11,D} -5 C u0 p0 c0 {1,S} {8,D} {16,S} -6 C u0 p0 c0 {2,S} {9,D} {17,S} -7 C u0 p0 c0 {2,S} {10,D} {18,S} -8 C u0 p0 c0 {4,S} {5,D} {19,S} -9 C u0 p0 c0 {6,D} {10,S} {20,S} -10 C u0 p0 c0 {7,D} {9,S} {21,S} -11 C u0 p0 c0 {4,D} {22,S} {23,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {11,S} - -C6H9R(285) -1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {6,D} -4 C u0 p0 c0 {2,S} {5,D} {13,S} -5 C u0 p0 c0 {3,S} {4,D} {14,S} -6 C u0 p0 c0 {3,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} -15 R u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C7H12R(286) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -3 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u1 p0 c0 {1,S} {3,S} {7,S} -6 C u0 p0 c0 {4,S} {7,D} {19,S} -7 C u0 p0 c0 {5,S} {6,D} {20,S} -8 R u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} - -C6H8R(287) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 C u0 p0 c0 {2,S} {4,D} {10,S} -4 C u0 p0 c0 {3,D} {6,S} {11,S} -5 C u0 p0 c0 {2,D} {12,S} {13,S} -6 C u1 p0 c0 {4,S} {14,S} {15,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 R u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} -15 H u0 p0 c0 {6,S} - -C6H8R(288) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S} -4 C u1 p0 c0 {1,S} {3,S} {6,S} -5 C u0 p0 c0 {2,S} {6,D} {14,S} -6 C u0 p0 c0 {4,S} {5,D} {15,S} -7 H u0 p0 c0 {1,S} -8 R u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} - -C10H13LR(289) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {3,S} {7,S} {9,D} -5 C u0 p0 c0 {1,S} {7,D} {18,S} -6 C u1 p0 c0 {2,S} {8,S} {19,S} -7 C u0 p0 c0 {4,S} {5,D} {20,S} -8 C u0 p0 c0 {6,S} {10,D} {21,S} -9 C u0 p0 c0 {4,D} {22,S} {23,S} -10 C u0 p0 c0 {8,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 R u0 p0 c0 {9,S} -24 L u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C6H8(290) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {5,S} {6,D} -4 C u0 p0 c0 {2,S} {5,D} {11,S} -5 C u0 p0 c0 {3,S} {4,D} {12,S} -6 C u0 p0 c0 {3,D} {13,S} {14,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {6,S} -14 H u0 p0 c0 {6,S} - -C8H12R(291) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S} -3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {1,S} {8,D} {15,S} -6 C u1 p0 c0 {2,S} {16,S} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {5,D} {20,S} {21,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {6,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} - -C10H12L(292) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {9,S} {18,S} -6 C u0 p0 c0 {3,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {20,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 C u0 p0 c0 {5,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 L u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C9H12L(293) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {8,S} {9,D} -6 C u1 p0 c0 {3,S} {4,S} {18,S} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {5,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 L u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C12H18L(294) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {6,S} {11,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {9,S} {14,S} {15,S} -6 C u0 p0 c0 {2,S} {10,S} {22,S} {23,S} -7 C u0 p0 c0 {4,S} {10,S} {20,S} {21,S} -8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S} -9 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S} -10 C u0 p0 c0 {6,S} {7,S} {12,D} -11 C u1 p0 c0 {2,S} {12,S} {30,S} -12 C u0 p0 c0 {10,D} {11,S} {31,S} -13 H u0 p0 c0 {2,S} -14 L u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {11,S} -31 H u0 p0 c0 {12,S} - -C11H15LR(295) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S} -2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u1 p0 c0 {1,S} {3,S} {9,S} -6 C u0 p0 c0 {4,S} {8,S} {10,D} -7 C u0 p0 c0 {2,S} {8,D} {22,S} -8 C u0 p0 c0 {6,S} {7,D} {23,S} -9 C u0 p0 c0 {5,S} {11,D} {24,S} -10 C u0 p0 c0 {6,D} {25,S} {26,S} -11 C u0 p0 c0 {9,D} {27,S} {28,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {3,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} -26 R u0 p0 c0 {10,S} -27 L u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C12H15R(296) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S} -4 C u0 p0 c0 {5,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {4,S} {8,D} -6 C u0 p0 c0 {3,S} {9,S} {11,D} -7 C u0 p0 c0 {1,S} {9,D} {21,S} -8 C u0 p0 c0 {5,D} {10,S} {22,S} -9 C u0 p0 c0 {6,S} {7,D} {24,S} -10 C u0 p0 c0 {8,S} {12,D} {23,S} -11 C u0 p0 c0 {6,D} {27,S} {28,S} -12 C u0 p0 c0 {10,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 R u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C11H14L(297) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u1 p0 c0 {2,S} {4,S} {9,S} -6 C u0 p0 c0 {3,S} {8,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {20,S} -8 C u0 p0 c0 {6,S} {7,D} {21,S} -9 C u0 p0 c0 {5,S} {11,D} {22,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 C u0 p0 c0 {9,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} -25 L u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C11H13(298) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {13,S} -3 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S} -4 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {4,S} {11,D} -6 C u1 p0 c0 {1,S} {10,S} {21,S} -7 C u0 p0 c0 {2,S} {8,D} {19,S} -8 C u0 p0 c0 {4,S} {7,D} {18,S} -9 C u0 p0 c0 {3,S} {10,D} {20,S} -10 C u0 p0 c0 {6,S} {9,D} {22,S} -11 C u0 p0 c0 {5,D} {23,S} {24,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {11,S} - -C9H13LR(299) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S} -3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {8,S} {9,D} -6 C u1 p0 c0 {1,S} {4,S} {20,S} -7 C u0 p0 c0 {2,S} {8,D} {21,S} -8 C u0 p0 c0 {5,S} {7,D} {22,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 L u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 R u0 p0 c0 {9,S} - -C12H15R(300) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {4,S} {10,D} -6 C u0 p0 c0 {3,S} {9,S} {11,D} -7 C u0 p0 c0 {1,S} {9,D} {21,S} -8 C u0 p0 c0 {2,S} {12,D} {20,S} -9 C u0 p0 c0 {6,S} {7,D} {22,S} -10 C u0 p0 c0 {5,D} {23,S} {24,S} -11 C u0 p0 c0 {6,D} {27,S} {28,S} -12 C u0 p0 c0 {8,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 R u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C12H15R(301) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S} -3 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {10,S} {12,D} -6 C u0 p0 c0 {4,S} {9,S} {11,D} -7 C u0 p0 c0 {1,S} {10,D} {22,S} -8 C u0 p0 c0 {3,S} {9,D} {21,S} -9 C u0 p0 c0 {6,S} {8,D} {23,S} -10 C u0 p0 c0 {5,S} {7,D} {24,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 C u0 p0 c0 {5,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 R u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H15R(302) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {2,S} {4,S} {9,D} -7 C u0 p0 c0 {1,S} {8,D} {22,S} -8 C u0 p0 c0 {3,S} {7,D} {21,S} -9 C u0 p0 c0 {6,D} {10,S} {23,S} -10 C u0 p0 c0 {9,S} {12,D} {24,S} -11 C u0 p0 c0 {5,D} {27,S} {28,S} -12 C u0 p0 c0 {10,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 R u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C12H15R(303) -1 C u0 p0 c0 {2,S} {6,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {7,S} {14,S} -3 C u0 p0 c0 {5,S} {9,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {3,S} {11,D} -6 C u0 p0 c0 {1,S} {4,S} {10,D} -7 C u0 p0 c0 {2,S} {9,D} {22,S} -8 C u0 p0 c0 {1,S} {12,D} {20,S} -9 C u0 p0 c0 {3,S} {7,D} {21,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 C u0 p0 c0 {5,D} {27,S} {28,S} -12 C u0 p0 c0 {8,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 R u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C12H15R(304) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {9,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {4,S} {10,S} {12,D} -7 C u0 p0 c0 {1,S} {9,D} {23,S} -8 C u0 p0 c0 {2,S} {10,D} {21,S} -9 C u0 p0 c0 {3,S} {7,D} {22,S} -10 C u0 p0 c0 {6,S} {8,D} {24,S} -11 C u0 p0 c0 {5,D} {27,S} {28,S} -12 C u0 p0 c0 {6,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {12,S} -26 R u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C12H16R2(305) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {2,S} {3,S} {8,D} -6 C u0 p0 c0 {1,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {11,D} {22,S} -8 C u0 p0 c0 {5,D} {9,S} {23,S} -9 C u0 p0 c0 {8,S} {12,D} {24,S} -10 C u0 p0 c0 {6,D} {27,S} {28,S} -11 C u0 p0 c0 {7,D} {29,S} {30,S} -12 C u0 p0 c0 {9,D} {25,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 R u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {10,S} -28 R u0 p0 c0 {10,S} -29 H u0 p0 c0 {11,S} -30 H u0 p0 c0 {11,S} - -C12H15R(306) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {14,S} -3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {8,S} {19,S} {20,S} -5 C u0 p0 c0 {3,S} {7,S} {17,S} {18,S} -6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {5,S} {6,S} {9,D} -8 C u0 p0 c0 {4,S} {11,S} {12,D} -9 C u0 p0 c0 {1,S} {7,D} {24,S} -10 C u0 p0 c0 {2,S} {11,D} {25,S} -11 C u0 p0 c0 {8,S} {10,D} {26,S} -12 C u0 p0 c0 {8,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 R u0 p0 c0 {5,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C10H12L(307) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S} -6 C u0 p0 c0 {4,S} {5,S} {9,D} -7 C u1 p0 c0 {2,S} {9,S} {19,S} -8 C u0 p0 c0 {1,S} {10,D} {20,S} -9 C u0 p0 c0 {6,D} {7,S} {21,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 L u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C12H16(308) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {14,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {9,S} {19,S} {20,S} -6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {1,S} {6,S} {9,D} -8 C u0 p0 c0 {4,S} {11,S} {12,D} -9 C u0 p0 c0 {5,S} {7,D} {25,S} -10 C u0 p0 c0 {2,S} {11,D} {24,S} -11 C u0 p0 c0 {8,S} {10,D} {26,S} -12 C u0 p0 c0 {8,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(309) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {10,S} {14,S} -3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S} -4 C u0 p0 c0 {3,S} {9,S} {17,S} {18,S} -5 C u0 p0 c0 {8,S} {11,S} {19,S} {20,S} -6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {1,S} {6,S} {9,D} -8 C u0 p0 c0 {2,S} {5,S} {12,D} -9 C u0 p0 c0 {4,S} {7,D} {26,S} -10 C u0 p0 c0 {2,S} {11,D} {25,S} -11 C u0 p0 c0 {5,S} {10,D} {24,S} -12 C u0 p0 c0 {8,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C13H20R(310) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {4,S} {9,S} {10,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {12,S} {15,S} -4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S} -5 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S} -6 C u0 p0 c0 {3,S} {11,S} {22,S} {23,S} -7 C u0 p0 c0 {5,S} {11,S} {20,S} {21,S} -8 C u0 p0 c0 {1,S} {30,S} {31,S} {32,S} -9 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S} -10 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S} -11 C u0 p0 c0 {6,S} {7,S} {13,D} -12 C u1 p0 c0 {3,S} {13,S} {33,S} -13 C u0 p0 c0 {11,D} {12,S} {34,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {9,S} -27 R u0 p0 c0 {10,S} -28 H u0 p0 c0 {10,S} -29 H u0 p0 c0 {10,S} -30 H u0 p0 c0 {8,S} -31 H u0 p0 c0 {8,S} -32 H u0 p0 c0 {8,S} -33 H u0 p0 c0 {12,S} -34 H u0 p0 c0 {13,S} - -C9H13(311) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {4,S} {19,S} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} - -C9H13(312) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u1 p0 c0 {4,S} {5,S} {9,S} -8 C u0 p0 c0 {2,S} {9,D} {21,S} -9 C u0 p0 c0 {7,S} {8,D} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C9H13(313) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -4 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {5,S} {21,S} -9 C u0 p0 c0 {2,S} {7,D} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C9H12L(314) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -4 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {5,S} {21,S} -9 C u0 p0 c0 {2,S} {7,D} {22,S} -10 L u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C12H16R2(315) -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -4 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u0 p0 c0 {4,S} {9,S} {11,D} -7 C u0 p0 c0 {2,S} {9,D} {23,S} -8 C u0 p0 c0 {5,D} {10,S} {24,S} -9 C u0 p0 c0 {6,S} {7,D} {26,S} -10 C u0 p0 c0 {8,S} {12,D} {25,S} -11 C u0 p0 c0 {6,D} {29,S} {30,S} -12 C u0 p0 c0 {10,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 R u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {4,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} -29 H u0 p0 c0 {11,S} -30 R u0 p0 c0 {11,S} - -C10H14R(316) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -6 C u1 p0 c0 {2,S} {4,S} {5,S} -7 C u0 p0 c0 {3,S} {9,S} {10,D} -8 C u0 p0 c0 {1,S} {9,D} {22,S} -9 C u0 p0 c0 {7,S} {8,D} {23,S} -10 C u0 p0 c0 {7,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 R u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C12H15R(317) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {4,S} {11,S} {12,D} -8 C u0 p0 c0 {1,S} {10,D} {24,S} -9 C u0 p0 c0 {2,S} {11,D} {25,S} -10 C u0 p0 c0 {5,S} {8,D} {23,S} -11 C u0 p0 c0 {7,S} {9,D} {26,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C10H15R2(318) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S} -3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S} -5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S} -6 C u1 p0 c0 {1,S} {3,S} {4,S} -7 C u0 p0 c0 {5,S} {9,S} {10,D} -8 C u0 p0 c0 {2,S} {9,D} {24,S} -9 C u0 p0 c0 {7,S} {8,D} {25,S} -10 C u0 p0 c0 {7,D} {26,S} {27,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 R u0 p0 c0 {4,S} -22 H u0 p0 c0 {4,S} -23 H u0 p0 c0 {4,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 R u0 p0 c0 {10,S} - -C12H16R2(319) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {10,D} -6 C u0 p0 c0 {4,S} {9,S} {11,D} -7 C u0 p0 c0 {1,S} {12,D} {22,S} -8 C u0 p0 c0 {2,S} {9,D} {23,S} -9 C u0 p0 c0 {6,S} {8,D} {24,S} -10 C u0 p0 c0 {5,D} {25,S} {26,S} -11 C u0 p0 c0 {6,D} {29,S} {30,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} -26 R u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} -29 H u0 p0 c0 {11,S} -30 R u0 p0 c0 {11,S} - -C12H15R(320) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {10,S} {14,S} -3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S} -4 C u0 p0 c0 {3,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {11,S} {19,S} {20,S} -6 C u0 p0 c0 {8,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {2,S} {5,S} {12,D} -8 C u0 p0 c0 {4,S} {6,S} {9,D} -9 C u0 p0 c0 {1,S} {8,D} {24,S} -10 C u0 p0 c0 {2,S} {11,D} {26,S} -11 C u0 p0 c0 {5,S} {10,D} {25,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 R u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H15R(321) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {7,S} {9,S} {13,S} -3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -4 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S} -5 C u0 p0 c0 {7,S} {11,S} {18,S} {19,S} -6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {2,S} {5,S} {12,D} -8 C u0 p0 c0 {1,S} {10,D} {24,S} -9 C u0 p0 c0 {2,S} {11,D} {26,S} -10 C u0 p0 c0 {4,S} {8,D} {23,S} -11 C u0 p0 c0 {5,S} {9,D} {25,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H15R(322) -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {2,S} {3,S} {9,D} -6 C u0 p0 c0 {1,S} {4,S} {8,D} -7 C u0 p0 c0 {3,S} {10,D} {22,S} -8 C u0 p0 c0 {6,D} {11,S} {23,S} -9 C u0 p0 c0 {5,D} {10,S} {26,S} -10 C u0 p0 c0 {7,D} {9,S} {25,S} -11 C u0 p0 c0 {8,S} {12,D} {24,S} -12 C u0 p0 c0 {11,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 R u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H15(323) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S} -3 C u0 p0 c0 {1,S} {10,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {11,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {2,S} {4,S} {12,D} -7 C u0 p0 c0 {5,S} {8,S} {10,D} -8 C u1 p0 c0 {1,S} {7,S} {25,S} -9 C u0 p0 c0 {2,S} {11,D} {23,S} -10 C u0 p0 c0 {3,S} {7,D} {24,S} -11 C u0 p0 c0 {4,S} {9,D} {22,S} -12 C u0 p0 c0 {6,D} {26,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {12,S} - -C10H12R(324) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u1 p0 c0 {2,S} {9,S} {18,S} -6 C u0 p0 c0 {3,S} {8,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {20,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 C u0 p0 c0 {5,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {22,S} {23,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 R u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C6H11L(325) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S} -4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {6,D} {18,S} -6 C u0 p0 c0 {4,S} {5,D} {17,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 L u0 p0 c0 {6,S} -18 H u0 p0 c0 {5,S} - -C11H14L(326) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {4,S} {7,S} {11,D} -7 C u1 p0 c0 {2,S} {6,S} {22,S} -8 C u0 p0 c0 {3,S} {10,D} {21,S} -9 C u0 p0 c0 {5,D} {10,S} {24,S} -10 C u0 p0 c0 {8,D} {9,S} {23,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 L u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C11H14L(327) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S} -3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S} -5 C u0 p0 c0 {3,S} {7,S} {16,S} {17,S} -6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {4,S} {5,S} {10,D} -8 C u0 p0 c0 {1,S} {6,S} {11,D} -9 C u1 p0 c0 {2,S} {10,S} {23,S} -10 C u0 p0 c0 {7,D} {9,S} {24,S} -11 C u0 p0 c0 {8,D} {25,S} {26,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 L u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C8H10L(328) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {4,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {6,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {14,S} -6 C u0 p0 c0 {4,S} {5,D} {15,S} -7 C u1 p0 c0 {3,S} {16,S} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 L u0 p0 c0 {7,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} - -C11H12(329) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S} -3 C u0 p0 c0 {4,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {11,D} -5 C u0 p0 c0 {1,S} {8,D} {17,S} -6 C u0 p0 c0 {2,S} {9,D} {18,S} -7 C u0 p0 c0 {2,S} {10,D} {19,S} -8 C u0 p0 c0 {3,S} {5,D} {16,S} -9 C u0 p0 c0 {6,D} {10,S} {20,S} -10 C u0 p0 c0 {7,D} {9,S} {21,S} -11 C u0 p0 c0 {4,D} {22,S} {23,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {8,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {11,S} - -C7H13R(330) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} -2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -6 C u0 p0 c0 {4,S} {5,S} {7,D} -7 C u0 p0 c0 {1,S} {6,D} {21,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 R u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {7,S} - -C11H14(331) -1 C u0 p0 c0 {2,S} {5,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {10,D} {18,S} -6 C u0 p0 c0 {1,S} {11,D} {19,S} -7 C u0 p0 c0 {3,S} {9,D} {17,S} -8 C u0 p0 c0 {4,D} {9,S} {21,S} -9 C u0 p0 c0 {7,D} {8,S} {20,S} -10 C u0 p0 c0 {5,D} {22,S} {23,S} -11 C u0 p0 c0 {6,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} - -C9H14L(332) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {9,S} {13,S} {14,S} -5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S} -6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S} -7 C u0 p0 c0 {1,S} {5,S} {9,D} -8 C u1 p0 c0 {3,S} {6,S} {23,S} -9 C u0 p0 c0 {4,S} {7,D} {24,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 L u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} - -C10H12R(333) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S} -5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S} -6 C u0 p0 c0 {4,S} {5,S} {9,D} -7 C u1 p0 c0 {2,S} {9,S} {19,S} -8 C u0 p0 c0 {1,S} {10,D} {20,S} -9 C u0 p0 c0 {6,D} {7,S} {21,S} -10 C u0 p0 c0 {8,D} {22,S} {23,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 R u0 p0 c0 {10,S} -23 H u0 p0 c0 {10,S} - -C12H15R(334) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {3,S} {9,D} -6 C u0 p0 c0 {1,S} {4,S} {11,D} -7 C u0 p0 c0 {1,S} {12,D} {21,S} -8 C u0 p0 c0 {3,S} {10,D} {22,S} -9 C u0 p0 c0 {5,D} {10,S} {24,S} -10 C u0 p0 c0 {8,D} {9,S} {23,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 R u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(335) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S} -3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -4 C u0 p0 c0 {5,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u0 p0 c0 {3,S} {8,S} {11,D} -7 C u0 p0 c0 {1,S} {8,D} {21,S} -8 C u0 p0 c0 {6,S} {7,D} {22,S} -9 C u0 p0 c0 {5,D} {10,S} {23,S} -10 C u0 p0 c0 {9,S} {12,D} {24,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 C u0 p0 c0 {10,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H15R(336) -1 C u0 p0 c0 {2,S} {5,S} {15,S} {16,S} -2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S} -3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {10,D} -6 C u0 p0 c0 {4,S} {9,S} {12,D} -7 C u0 p0 c0 {2,S} {9,D} {22,S} -8 C u0 p0 c0 {3,S} {11,D} {23,S} -9 C u0 p0 c0 {6,S} {7,D} {24,S} -10 C u0 p0 c0 {5,D} {11,S} {26,S} -11 C u0 p0 c0 {8,D} {10,S} {25,S} -12 C u0 p0 c0 {6,D} {27,S} {28,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {1,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 R u0 p0 c0 {12,S} - -C12H15(337) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {13,S} -2 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {7,S} {9,S} {18,S} {19,S} -5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S} -6 C u0 p0 c0 {1,S} {5,S} {10,D} -7 C u0 p0 c0 {2,S} {4,S} {11,D} -8 C u1 p0 c0 {3,S} {10,S} {24,S} -9 C u0 p0 c0 {4,S} {12,D} {23,S} -10 C u0 p0 c0 {6,D} {8,S} {27,S} -11 C u0 p0 c0 {7,D} {12,S} {26,S} -12 C u0 p0 c0 {9,D} {11,S} {25,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {10,S} - -C9H13R(338) -1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u0 p0 c0 {2,S} {8,D} {17,S} -6 C u0 p0 c0 {4,D} {7,S} {18,S} -7 C u0 p0 c0 {6,S} {9,D} {19,S} -8 C u0 p0 c0 {5,D} {22,S} {23,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 R u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {8,S} - -[CH2]C(C)C(399) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u1 p0 c0 {1,S} {12,S} {13,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} - -CC(C)C(29484) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} - -C11H17(10750) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {8,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {3,S} {9,S} {11,D} -6 C u1 p0 c0 {2,S} {10,S} {24,S} -7 C u0 p0 c0 {1,S} {9,D} {22,S} -8 C u0 p0 c0 {4,S} {10,D} {23,S} -9 C u0 p0 c0 {5,S} {7,D} {25,S} -10 C u0 p0 c0 {6,S} {8,D} {26,S} -11 C u0 p0 c0 {5,D} {27,S} {28,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {11,S} -28 H u0 p0 c0 {11,S} - -C9H11R(18276) -1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {3,S} {8,D} {16,S} -6 C u0 p0 c0 {2,S} {9,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {19,S} -8 C u0 p0 c0 {5,D} {7,S} {18,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {7,S} -20 R u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C9H13R(24328) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {1,S} {8,D} {16,S} -6 C u0 p0 c0 {2,S} {9,D} {17,S} -7 C u0 p0 c0 {4,D} {18,S} {19,S} -8 C u0 p0 c0 {5,D} {20,S} {21,S} -9 C u0 p0 c0 {6,D} {22,S} {23,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 R u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {9,S} - -C12H16(18381) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {2,S} {4,S} {9,D} -7 C u0 p0 c0 {1,S} {8,D} {22,S} -8 C u0 p0 c0 {3,S} {7,D} {21,S} -9 C u0 p0 c0 {6,D} {10,S} {23,S} -10 C u0 p0 c0 {9,S} {12,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {10,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C9H12(18323) -1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {3,S} {8,D} {16,S} -6 C u0 p0 c0 {2,S} {9,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {19,S} -8 C u0 p0 c0 {5,D} {7,S} {18,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C12H16(18379) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {4,S} {10,D} -6 C u0 p0 c0 {3,S} {9,S} {11,D} -7 C u0 p0 c0 {1,S} {9,D} {20,S} -8 C u0 p0 c0 {2,S} {12,D} {21,S} -9 C u0 p0 c0 {6,S} {7,D} {22,S} -10 C u0 p0 c0 {5,D} {25,S} {26,S} -11 C u0 p0 c0 {6,D} {23,S} {24,S} -12 C u0 p0 c0 {8,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(18378) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S} -3 C u0 p0 c0 {5,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {10,D} -6 C u0 p0 c0 {2,S} {4,S} {11,D} -7 C u0 p0 c0 {1,S} {8,D} {21,S} -8 C u0 p0 c0 {3,S} {7,D} {20,S} -9 C u0 p0 c0 {2,S} {12,D} {22,S} -10 C u0 p0 c0 {5,D} {23,S} {24,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 C u0 p0 c0 {9,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(18376) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {9,S} {11,D} -6 C u0 p0 c0 {4,S} {10,S} {12,D} -7 C u0 p0 c0 {1,S} {9,D} {21,S} -8 C u0 p0 c0 {3,S} {10,D} {22,S} -9 C u0 p0 c0 {5,S} {7,D} {23,S} -10 C u0 p0 c0 {6,S} {8,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {6,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(18375) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {4,S} {10,S} {12,D} -7 C u0 p0 c0 {1,S} {8,D} {22,S} -8 C u0 p0 c0 {3,S} {7,D} {21,S} -9 C u0 p0 c0 {2,S} {10,D} {23,S} -10 C u0 p0 c0 {6,S} {9,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {6,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C8H10L(18195) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {5,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u0 p0 c0 {3,S} {7,D} {15,S} -6 C u0 p0 c0 {4,D} {7,S} {17,S} -7 C u0 p0 c0 {5,D} {6,S} {16,S} -8 C u1 p0 c0 {2,S} {18,S} {19,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {7,S} -17 H u0 p0 c0 {6,S} -18 L u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} - -C8H10L(30674) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {7,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S} -3 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -4 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {6,S} {14,S} {15,S} -6 C u0 p0 c0 {4,S} {5,S} {8,D} -7 C u1 p0 c0 {1,S} {8,S} {18,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 L u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} - -C12H16(18380) -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u0 p0 c0 {2,S} {4,S} {9,D} -7 C u0 p0 c0 {3,S} {10,D} {22,S} -8 C u0 p0 c0 {5,D} {10,S} {24,S} -9 C u0 p0 c0 {6,D} {11,S} {25,S} -10 C u0 p0 c0 {7,D} {8,S} {23,S} -11 C u0 p0 c0 {9,S} {12,D} {26,S} -12 C u0 p0 c0 {11,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(18377) -1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {3,S} {9,D} -6 C u0 p0 c0 {1,S} {4,S} {11,D} -7 C u0 p0 c0 {1,S} {12,D} {22,S} -8 C u0 p0 c0 {3,S} {10,D} {21,S} -9 C u0 p0 c0 {5,D} {10,S} {24,S} -10 C u0 p0 c0 {8,D} {9,S} {23,S} -11 C u0 p0 c0 {6,D} {25,S} {26,S} -12 C u0 p0 c0 {7,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C12H16(18374) -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {4,S} {10,S} {12,D} -7 C u0 p0 c0 {2,S} {10,D} {23,S} -8 C u0 p0 c0 {3,S} {11,D} {22,S} -9 C u0 p0 c0 {5,D} {11,S} {25,S} -10 C u0 p0 c0 {6,S} {7,D} {26,S} -11 C u0 p0 c0 {8,D} {9,S} {24,S} -12 C u0 p0 c0 {6,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C6H8(18175) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {3,S} {5,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} -4 C u0 p0 c0 {1,S} {5,D} {11,S} -5 C u0 p0 c0 {2,S} {4,D} {12,S} -6 C u0 p0 c0 {3,D} {13,S} {14,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {4,S} -12 H u0 p0 c0 {5,S} -13 H u0 p0 c0 {6,S} -14 H u0 p0 c0 {6,S} - -C9H11R(18275) -1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {3,S} {7,D} -5 C u0 p0 c0 {3,S} {8,D} {16,S} -6 C u0 p0 c0 {2,S} {9,D} {17,S} -7 C u0 p0 c0 {4,D} {8,S} {19,S} -8 C u0 p0 c0 {5,D} {7,S} {18,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 R u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C9H12R2(24302) -1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {14,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u0 p0 c0 {2,S} {8,D} {17,S} -6 C u0 p0 c0 {4,D} {7,S} {18,S} -7 C u0 p0 c0 {6,S} {9,D} {19,S} -8 C u0 p0 c0 {5,D} {22,S} {23,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 R u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} -22 R u0 p0 c0 {8,S} -23 H u0 p0 c0 {8,S} - -C12H20L(4090) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {9,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {8,S} {27,S} {28,S} {29,S} -7 C u0 p0 c0 {9,S} {24,S} {25,S} {26,S} -8 C u1 p0 c0 {2,S} {3,S} {6,S} -9 C u0 p0 c0 {4,S} {7,S} {10,D} -10 C u0 p0 c0 {9,D} {11,S} {30,S} -11 C u0 p0 c0 {10,S} {12,D} {31,S} -12 C u0 p0 c0 {11,D} {32,S} {33,S} -13 L u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {6,S} -28 H u0 p0 c0 {6,S} -29 H u0 p0 c0 {6,S} -30 H u0 p0 c0 {10,S} -31 H u0 p0 c0 {11,S} -32 H u0 p0 c0 {12,S} -33 H u0 p0 c0 {12,S} - -C10H13R(18283) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u0 p0 c0 {3,S} {8,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {6,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 C u0 p0 c0 {6,D} {21,S} {22,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {10,S} -23 R u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C8H10L(30673) -multiplicity 2 -1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S} -3 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S} -4 C u0 p0 c0 {3,S} {6,S} {14,S} {15,S} -5 C u0 p0 c0 {6,S} {7,S} {16,S} {17,S} -6 C u0 p0 c0 {4,S} {5,S} {8,D} -7 C u1 p0 c0 {1,S} {5,S} {18,S} -8 C u0 p0 c0 {1,S} {6,D} {19,S} -9 H u0 p0 c0 {1,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 L u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} - -C11H14L(20661) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {8,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u1 p0 c0 {2,S} {10,S} {23,S} -7 C u0 p0 c0 {3,S} {11,D} {21,S} -8 C u0 p0 c0 {4,S} {10,D} {22,S} -9 C u0 p0 c0 {5,D} {11,S} {25,S} -10 C u0 p0 c0 {6,S} {8,D} {26,S} -11 C u0 p0 c0 {7,D} {9,S} {24,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 L u0 p0 c0 {8,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} - -C12H20L(4086) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {8,S} {27,S} {28,S} {29,S} -7 C u0 p0 c0 {9,S} {24,S} {25,S} {26,S} -8 C u1 p0 c0 {2,S} {3,S} {6,S} -9 C u0 p0 c0 {7,S} {11,S} {12,D} -10 C u0 p0 c0 {4,S} {11,D} {30,S} -11 C u0 p0 c0 {9,S} {10,D} {31,S} -12 C u0 p0 c0 {9,D} {32,S} {33,S} -13 L u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 H u0 p0 c0 {7,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {6,S} -28 H u0 p0 c0 {6,S} -29 H u0 p0 c0 {6,S} -30 H u0 p0 c0 {10,S} -31 H u0 p0 c0 {11,S} -32 H u0 p0 c0 {12,S} -33 H u0 p0 c0 {12,S} - -C10H13R(18282) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {20,S} -8 C u0 p0 c0 {3,S} {7,D} {19,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 R u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C12H16(18680) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {2,S} {8,S} {18,S} {19,S} -5 C u0 p0 c0 {7,S} {10,S} {20,S} {21,S} -6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {3,S} {5,S} {11,D} -8 C u0 p0 c0 {4,S} {6,S} {9,D} -9 C u0 p0 c0 {1,S} {8,D} {26,S} -10 C u0 p0 c0 {5,S} {12,D} {25,S} -11 C u0 p0 c0 {7,D} {12,S} {28,S} -12 C u0 p0 c0 {10,D} {11,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} - -C12H15R(24502) -1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S} -4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S} -5 C u0 p0 c0 {7,S} {10,S} {20,S} {21,S} -6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {3,S} {5,S} {11,D} -8 C u0 p0 c0 {4,S} {6,S} {9,D} -9 C u0 p0 c0 {1,S} {8,D} {25,S} -10 C u0 p0 c0 {5,S} {12,D} {26,S} -11 C u0 p0 c0 {7,D} {12,S} {28,S} -12 C u0 p0 c0 {10,D} {11,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 R u0 p0 c0 {4,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} - -C13H22R(4084) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {14,S} -2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -7 C u0 p0 c0 {9,S} {30,S} {31,S} {32,S} -8 C u0 p0 c0 {10,S} {27,S} {28,S} {29,S} -9 C u1 p0 c0 {2,S} {3,S} {7,S} -10 C u0 p0 c0 {4,S} {8,S} {11,D} -11 C u0 p0 c0 {10,D} {12,S} {33,S} -12 C u0 p0 c0 {11,S} {13,D} {34,S} -13 C u0 p0 c0 {12,D} {35,S} {36,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 R u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 H u0 p0 c0 {6,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {7,S} -31 H u0 p0 c0 {7,S} -32 H u0 p0 c0 {7,S} -33 H u0 p0 c0 {11,S} -34 H u0 p0 c0 {12,S} -35 H u0 p0 c0 {13,S} -36 H u0 p0 c0 {13,S} - -C13H22R(4080) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {14,S} -2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S} -3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S} -4 C u0 p0 c0 {3,S} {11,S} {15,S} {16,S} -5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -6 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S} -7 C u0 p0 c0 {9,S} {30,S} {31,S} {32,S} -8 C u0 p0 c0 {10,S} {27,S} {28,S} {29,S} -9 C u1 p0 c0 {2,S} {3,S} {7,S} -10 C u0 p0 c0 {8,S} {12,S} {13,D} -11 C u0 p0 c0 {4,S} {12,D} {33,S} -12 C u0 p0 c0 {10,S} {11,D} {34,S} -13 C u0 p0 c0 {10,D} {35,S} {36,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {2,S} -18 H u0 p0 c0 {2,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {5,S} -24 R u0 p0 c0 {6,S} -25 H u0 p0 c0 {6,S} -26 H u0 p0 c0 {6,S} -27 H u0 p0 c0 {8,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {7,S} -31 H u0 p0 c0 {7,S} -32 H u0 p0 c0 {7,S} -33 H u0 p0 c0 {11,S} -34 H u0 p0 c0 {12,S} -35 H u0 p0 c0 {13,S} -36 H u0 p0 c0 {13,S} - -C10H13R(18280) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u0 p0 c0 {3,S} {8,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {6,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 C u0 p0 c0 {6,D} {21,S} {22,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 R u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C10H13R(18279) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {20,S} -8 C u0 p0 c0 {3,S} {7,D} {19,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 R u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C10H15(18437) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S} -6 C u1 p0 c0 {1,S} {4,S} {5,S} -7 C u0 p0 c0 {2,S} {3,S} {9,D} -8 C u0 p0 c0 {3,S} {10,D} {23,S} -9 C u0 p0 c0 {7,D} {10,S} {25,S} -10 C u0 p0 c0 {8,D} {9,S} {24,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} - -C12H15R(24501) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {7,S} {17,S} {18,S} -4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S} -5 C u0 p0 c0 {7,S} {10,S} {19,S} {20,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {3,S} {5,S} {11,D} -8 C u0 p0 c0 {1,S} {9,D} {25,S} -9 C u0 p0 c0 {4,S} {8,D} {24,S} -10 C u0 p0 c0 {5,S} {12,D} {26,S} -11 C u0 p0 c0 {7,D} {12,S} {28,S} -12 C u0 p0 c0 {10,D} {11,S} {27,S} -13 H u0 p0 c0 {2,S} -14 R u0 p0 c0 {2,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} - -C11H13(18468) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u1 p0 c0 {1,S} {10,S} {21,S} -7 C u0 p0 c0 {3,S} {10,D} {20,S} -8 C u0 p0 c0 {4,S} {11,D} {19,S} -9 C u0 p0 c0 {5,D} {11,S} {23,S} -10 C u0 p0 c0 {6,S} {7,D} {24,S} -11 C u0 p0 c0 {8,D} {9,S} {22,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} - -C12H16(18679) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {9,S} {17,S} {18,S} -5 C u0 p0 c0 {7,S} {10,S} {19,S} {20,S} -6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -7 C u0 p0 c0 {3,S} {5,S} {11,D} -8 C u0 p0 c0 {1,S} {9,D} {26,S} -9 C u0 p0 c0 {4,S} {8,D} {25,S} -10 C u0 p0 c0 {5,S} {12,D} {24,S} -11 C u0 p0 c0 {7,D} {12,S} {28,S} -12 C u0 p0 c0 {10,D} {11,S} {27,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {8,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} - -C12H15(18389) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {9,S} {18,S} {19,S} -5 C u0 p0 c0 {7,S} {20,S} {21,S} {22,S} -6 C u0 p0 c0 {2,S} {4,S} {11,D} -7 C u0 p0 c0 {3,S} {5,S} {10,D} -8 C u1 p0 c0 {1,S} {10,S} {24,S} -9 C u0 p0 c0 {4,S} {12,D} {23,S} -10 C u0 p0 c0 {7,D} {8,S} {27,S} -11 C u0 p0 c0 {6,D} {12,S} {26,S} -12 C u0 p0 c0 {9,D} {11,S} {25,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {12,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {10,S} - -C11H16(11281) -1 C u0 p0 c0 {2,S} {4,S} {14,S} {15,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {4,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {1,S} {3,S} {6,D} -5 C u0 p0 c0 {2,S} {7,D} {19,S} -6 C u0 p0 c0 {4,D} {9,S} {22,S} -7 C u0 p0 c0 {5,D} {8,S} {21,S} -8 C u0 p0 c0 {7,S} {10,D} {20,S} -9 C u0 p0 c0 {6,S} {11,D} {23,S} -10 C u0 p0 c0 {8,D} {24,S} {25,S} -11 C u0 p0 c0 {9,D} {26,S} {27,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {1,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {11,S} - -C12H16(18726) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {2,S} {9,S} {11,D} -6 C u0 p0 c0 {4,S} {8,D} {10,S} -7 C u0 p0 c0 {1,S} {9,D} {21,S} -8 C u0 p0 c0 {3,S} {6,D} {22,S} -9 C u0 p0 c0 {5,S} {7,D} {23,S} -10 C u0 p0 c0 {6,S} {12,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {10,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C10H14R(18285) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S} -6 C u1 p0 c0 {1,S} {4,S} {5,S} -7 C u0 p0 c0 {2,S} {3,S} {9,D} -8 C u0 p0 c0 {3,S} {10,D} {23,S} -9 C u0 p0 c0 {7,D} {10,S} {25,S} -10 C u0 p0 c0 {8,D} {9,S} {24,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 R u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} - -C9H11L(18431) -1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {2,S} {7,S} {8,D} -5 C u0 p0 c0 {1,S} {7,D} {15,S} -6 C u0 p0 c0 {3,S} {9,D} {16,S} -7 C u0 p0 c0 {4,S} {5,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {6,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {5,S} -16 L u0 p0 c0 {6,S} -17 H u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C12H15(22038) -multiplicity 2 -1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -3 C u0 p0 c0 {4,S} {6,S} {17,S} {18,S} -4 C u0 p0 c0 {3,S} {8,S} {19,S} {20,S} -5 C u0 p0 c0 {7,S} {9,S} {21,S} {22,S} -6 C u0 p0 c0 {1,S} {3,S} {10,D} -7 C u0 p0 c0 {2,S} {5,S} {11,D} -8 C u1 p0 c0 {4,S} {10,S} {24,S} -9 C u0 p0 c0 {5,S} {12,D} {23,S} -10 C u0 p0 c0 {6,D} {8,S} {25,S} -11 C u0 p0 c0 {7,D} {12,S} {27,S} -12 C u0 p0 c0 {9,D} {11,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {8,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} - -C11H15(18464) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {8,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {9,S} {11,D} -6 C u0 p0 c0 {1,S} {9,D} {20,S} -7 C u1 p0 c0 {3,S} {10,S} {22,S} -8 C u0 p0 c0 {4,S} {10,D} {21,S} -9 C u0 p0 c0 {5,S} {6,D} {23,S} -10 C u0 p0 c0 {7,S} {8,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C9H11L(18430) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S} -2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S} -3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {3,S} {8,D} -5 C u0 p0 c0 {1,S} {6,D} {16,S} -6 C u0 p0 c0 {3,S} {5,D} {15,S} -7 C u0 p0 c0 {2,S} {9,D} {17,S} -8 C u0 p0 c0 {4,D} {18,S} {19,S} -9 C u0 p0 c0 {7,D} {20,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {5,S} -17 L u0 p0 c0 {7,S} -18 H u0 p0 c0 {8,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {9,S} -21 H u0 p0 c0 {9,S} - -C10H14R(33566) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u0 p0 c0 {4,S} {5,S} {10,D} -9 C u1 p0 c0 {2,S} {10,S} {24,S} -10 C u0 p0 c0 {8,D} {9,S} {25,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} - -C12H15(18406) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {9,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {10,S} {18,S} {19,S} -5 C u0 p0 c0 {7,S} {20,S} {21,S} {22,S} -6 C u0 p0 c0 {2,S} {4,S} {11,D} -7 C u0 p0 c0 {5,S} {8,S} {9,D} -8 C u1 p0 c0 {1,S} {7,S} {25,S} -9 C u0 p0 c0 {3,S} {7,D} {24,S} -10 C u0 p0 c0 {4,S} {12,D} {23,S} -11 C u0 p0 c0 {6,D} {12,S} {27,S} -12 C u0 p0 c0 {10,D} {11,S} {26,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {5,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {8,S} -26 H u0 p0 c0 {12,S} -27 H u0 p0 c0 {11,S} - -C9H13(18194) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {14,S} {15,S} {16,S} -5 C u0 p0 c0 {3,S} {7,S} {9,D} -6 C u0 p0 c0 {1,S} {7,D} {17,S} -7 C u0 p0 c0 {5,S} {6,D} {18,S} -8 C u1 p0 c0 {2,S} {19,S} {20,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {7,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C10H15(32871) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u1 p0 c0 {4,S} {5,S} {10,S} -9 C u0 p0 c0 {2,S} {10,D} {24,S} -10 C u0 p0 c0 {8,S} {9,D} {25,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {10,S} - -C10H14(18435) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {4,S} {9,D} -6 C u0 p0 c0 {3,S} {8,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {6,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {23,S} {24,S} -10 C u0 p0 c0 {6,D} {21,S} {22,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {10,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {9,S} - -C12H16(18725) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S} -3 C u0 p0 c0 {5,S} {9,S} {16,S} {17,S} -4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S} -5 C u0 p0 c0 {1,S} {3,S} {11,D} -6 C u0 p0 c0 {4,S} {8,D} {10,S} -7 C u0 p0 c0 {1,S} {9,D} {22,S} -8 C u0 p0 c0 {2,S} {6,D} {23,S} -9 C u0 p0 c0 {3,S} {7,D} {21,S} -10 C u0 p0 c0 {6,S} {12,D} {24,S} -11 C u0 p0 c0 {5,D} {25,S} {26,S} -12 C u0 p0 c0 {10,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C11H16(11277) -1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S} -2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {4,S} {16,S} {17,S} {18,S} -4 C u0 p0 c0 {3,S} {7,S} {10,D} -5 C u0 p0 c0 {1,S} {8,D} {19,S} -6 C u0 p0 c0 {2,S} {7,D} {20,S} -7 C u0 p0 c0 {4,S} {6,D} {23,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {8,S} {11,D} {21,S} -10 C u0 p0 c0 {4,D} {26,S} {27,S} -11 C u0 p0 c0 {9,D} {24,S} {25,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {10,S} - -C11H16(11279) -1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {3,S} {9,D} -5 C u0 p0 c0 {2,S} {7,D} {18,S} -6 C u0 p0 c0 {1,S} {10,D} {19,S} -7 C u0 p0 c0 {5,D} {8,S} {21,S} -8 C u0 p0 c0 {7,S} {11,D} {20,S} -9 C u0 p0 c0 {4,D} {24,S} {25,S} -10 C u0 p0 c0 {6,D} {26,S} {27,S} -11 C u0 p0 c0 {8,D} {22,S} {23,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {11,S} -23 H u0 p0 c0 {11,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {10,S} -27 H u0 p0 c0 {10,S} - -C9H12R(18225) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {4,S} {19,S} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 R u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} - -C9H12R(34500) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {9,S} {21,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C10H14(18434) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {20,S} -8 C u0 p0 c0 {3,S} {7,D} {19,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C10H14L(20637) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {1,S} {8,D} {18,S} -5 C u1 p0 c0 {2,S} {7,S} {20,S} -6 C u0 p0 c0 {3,S} {7,D} {19,S} -7 C u0 p0 c0 {5,S} {6,D} {23,S} -8 C u0 p0 c0 {4,D} {9,S} {22,S} -9 C u0 p0 c0 {8,S} {10,D} {21,S} -10 C u0 p0 c0 {9,D} {24,S} {25,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 L u0 p0 c0 {6,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {10,S} - -C10H13R(18278) -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 R u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C11H14(18772) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S} -2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S} -3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S} -4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S} -5 C u0 p0 c0 {6,S} {9,S} {19,S} {20,S} -6 C u0 p0 c0 {3,S} {5,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {23,S} -8 C u0 p0 c0 {4,S} {7,D} {22,S} -9 C u0 p0 c0 {5,S} {11,D} {21,S} -10 C u0 p0 c0 {6,D} {11,S} {25,S} -11 C u0 p0 c0 {9,D} {10,S} {24,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {11,S} -25 H u0 p0 c0 {10,S} - -C11H15(18454) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S} -3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {2,S} {3,S} {8,D} -6 C u0 p0 c0 {1,S} {10,D} {21,S} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {23,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 C u0 p0 c0 {6,D} {11,S} {24,S} -11 C u1 p0 c0 {10,S} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C6H9R(1802) -1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -2 C u0 p0 c0 {3,S} {10,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {2,S} {4,D} -4 C u0 p0 c0 {3,D} {5,S} {13,S} -5 C u0 p0 c0 {4,S} {6,D} {14,S} -6 C u0 p0 c0 {5,D} {15,S} {16,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {1,S} -10 R u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {6,S} -16 H u0 p0 c0 {6,S} - -C11H15(35245) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {3,S} {9,S} {14,S} -3 C u0 p0 c0 {2,S} {5,S} {8,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -5 C u0 p0 c0 {3,S} {7,S} {17,S} {18,S} -6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -7 C u1 p0 c0 {4,S} {5,S} {10,S} -8 C u0 p0 c0 {3,S} {10,D} {22,S} -9 C u0 p0 c0 {2,S} {11,D} {23,S} -10 C u0 p0 c0 {7,S} {8,D} {24,S} -11 C u0 p0 c0 {9,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {9,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C5H8LR(1393) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S} -4 C u0 p0 c0 {2,S} {5,D} {13,S} -5 C u0 p0 c0 {4,D} {14,S} {15,S} -6 L u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 R u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} - -C11H15(35243) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S} -2 C u0 p0 c0 {1,S} {3,S} {9,S} {13,S} -3 C u0 p0 c0 {2,S} {7,S} {8,S} {14,S} -4 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -5 C u0 p0 c0 {7,S} {10,S} {17,S} {18,S} -6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -7 C u1 p0 c0 {3,S} {4,S} {5,S} -8 C u0 p0 c0 {3,S} {10,D} {23,S} -9 C u0 p0 c0 {2,S} {11,D} {24,S} -10 C u0 p0 c0 {5,S} {8,D} {22,S} -11 C u0 p0 c0 {9,D} {25,S} {26,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {6,S} -22 H u0 p0 c0 {10,S} -23 H u0 p0 c0 {8,S} -24 H u0 p0 c0 {9,S} -25 H u0 p0 c0 {11,S} -26 H u0 p0 c0 {11,S} - -C12H18L(18253) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {10,S} {13,S} -2 C u0 p0 c0 {5,S} {6,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {8,S} {20,S} {21,S} -4 C u0 p0 c0 {1,S} {9,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {8,S} {18,S} {19,S} -6 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {8,S} {25,S} {26,S} {27,S} -8 C u1 p0 c0 {3,S} {5,S} {7,S} -9 C u0 p0 c0 {4,S} {11,S} {12,D} -10 C u0 p0 c0 {1,S} {11,D} {28,S} -11 C u0 p0 c0 {9,S} {10,D} {29,S} -12 C u0 p0 c0 {9,D} {30,S} {31,S} -13 H u0 p0 c0 {1,S} -14 L u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {5,S} -19 H u0 p0 c0 {5,S} -20 H u0 p0 c0 {3,S} -21 H u0 p0 c0 {3,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {10,S} -29 H u0 p0 c0 {11,S} -30 H u0 p0 c0 {12,S} -31 H u0 p0 c0 {12,S} - -C10H17LR(3394) -multiplicity 2 -1 C u0 p0 c0 {4,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {3,S} {8,S} {12,S} {13,S} -3 C u0 p0 c0 {2,S} {9,S} {14,S} {15,S} -4 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S} -6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S} -8 C u0 p0 c0 {2,S} {6,S} {10,D} -9 C u1 p0 c0 {3,S} {7,S} {28,S} -10 C u0 p0 c0 {1,S} {8,D} {29,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 R u0 p0 c0 {5,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 L u0 p0 c0 {9,S} -29 H u0 p0 c0 {10,S} - -C4H6L(1895) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -2 C u1 p0 c0 {1,S} {3,S} {8,S} -3 C u0 p0 c0 {2,S} {4,D} {9,S} -4 C u0 p0 c0 {3,D} {10,S} {11,S} -5 L u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {4,S} -11 H u0 p0 c0 {4,S} - -C7H11L2(36342) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S} -3 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S} -4 C u0 p0 c0 {7,S} {12,S} {13,S} {14,S} -5 C u1 p0 c0 {1,S} {3,S} {18,S} -6 C u0 p0 c0 {2,S} {7,D} {20,S} -7 C u0 p0 c0 {4,S} {6,D} {19,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 L u0 p0 c0 {4,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 L u0 p0 c0 {5,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {6,S} - -C4H7L(36302) -1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -2 C u0 p0 c0 {4,S} {8,S} {9,S} {10,S} -3 C u0 p0 c0 {1,S} {4,D} {11,S} -4 C u0 p0 c0 {2,S} {3,D} {12,S} -5 L u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {4,S} - -C13H20R(18248) -multiplicity 2 -1 C u0 p0 c0 {3,S} {6,S} {7,S} {14,S} -2 C u0 p0 c0 {4,S} {5,S} {11,S} {15,S} -3 C u0 p0 c0 {1,S} {9,S} {18,S} {19,S} -4 C u0 p0 c0 {2,S} {9,S} {20,S} {21,S} -5 C u0 p0 c0 {2,S} {10,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S} -8 C u0 p0 c0 {9,S} {28,S} {29,S} {30,S} -9 C u1 p0 c0 {3,S} {4,S} {8,S} -10 C u0 p0 c0 {5,S} {12,S} {13,D} -11 C u0 p0 c0 {2,S} {12,D} {31,S} -12 C u0 p0 c0 {10,S} {11,D} {32,S} -13 C u0 p0 c0 {10,D} {33,S} {34,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {3,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 R u0 p0 c0 {7,S} -26 H u0 p0 c0 {7,S} -27 H u0 p0 c0 {7,S} -28 H u0 p0 c0 {8,S} -29 H u0 p0 c0 {8,S} -30 H u0 p0 c0 {8,S} -31 H u0 p0 c0 {11,S} -32 H u0 p0 c0 {12,S} -33 H u0 p0 c0 {13,S} -34 H u0 p0 c0 {13,S} - -C10H13R(18281) -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 R u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C6H7R(24238) -1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S} -2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 C u0 p0 c0 {1,S} {6,D} {12,S} -5 C u0 p0 c0 {3,D} {6,S} {13,S} -6 C u0 p0 c0 {4,D} {5,S} {14,S} -7 R u0 p0 c0 {1,S} -8 H u0 p0 c0 {1,S} -9 H u0 p0 c0 {2,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {4,S} -13 H u0 p0 c0 {5,S} -14 H u0 p0 c0 {6,S} - -C9H12R(18224) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {5,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {3,S} {7,D} -6 C u0 p0 c0 {3,S} {8,D} {18,S} -7 C u0 p0 c0 {5,D} {8,S} {20,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 C u1 p0 c0 {1,S} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 R u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C9H12R(38723) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {5,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {9,S} {21,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C10H15(32869) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S} -4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S} -5 C u0 p0 c0 {8,S} {10,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S} -8 C u1 p0 c0 {2,S} {4,S} {5,S} -9 C u0 p0 c0 {2,S} {10,D} {25,S} -10 C u0 p0 c0 {5,S} {9,D} {24,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {7,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} - -C9H13(18191) -multiplicity 2 -1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {5,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {3,S} {7,D} -6 C u0 p0 c0 {3,S} {8,D} {18,S} -7 C u0 p0 c0 {5,D} {8,S} {20,S} -8 C u0 p0 c0 {6,D} {7,S} {19,S} -9 C u1 p0 c0 {1,S} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C9H13(20452) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {5,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {7,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u1 p0 c0 {4,S} {5,S} {9,S} -8 C u0 p0 c0 {2,S} {9,D} {21,S} -9 C u0 p0 c0 {7,S} {8,D} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C9H13(38809) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {8,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {5,S} {21,S} -9 C u0 p0 c0 {2,S} {7,D} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C9H12R(38722) -multiplicity 2 -1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S} -2 C u0 p0 c0 {3,S} {8,S} {9,S} {11,S} -3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S} -4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {5,S} {21,S} -9 C u0 p0 c0 {2,S} {7,D} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 R u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {4,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {5,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C12H16(18717) -1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S} -2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S} -3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S} -4 C u0 p0 c0 {2,S} {9,S} {18,S} {19,S} -5 C u0 p0 c0 {8,S} {10,S} {20,S} {21,S} -6 C u0 p0 c0 {7,S} {22,S} {23,S} {24,S} -7 C u0 p0 c0 {1,S} {6,S} {9,D} -8 C u0 p0 c0 {3,S} {5,S} {11,D} -9 C u0 p0 c0 {4,S} {7,D} {26,S} -10 C u0 p0 c0 {5,S} {12,D} {25,S} -11 C u0 p0 c0 {8,D} {12,S} {28,S} -12 C u0 p0 c0 {10,D} {11,S} {27,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {5,S} -21 H u0 p0 c0 {5,S} -22 H u0 p0 c0 {6,S} -23 H u0 p0 c0 {6,S} -24 H u0 p0 c0 {6,S} -25 H u0 p0 c0 {10,S} -26 H u0 p0 c0 {9,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {11,S} - -C10H14(18433) -1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S} -2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S} -4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {1,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {2,S} -15 H u0 p0 c0 {3,S} -16 H u0 p0 c0 {3,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C9H12R(18184) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S} -3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S} -4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S} -5 C u0 p0 c0 {2,S} {8,S} {9,D} -6 C u1 p0 c0 {3,S} {4,S} {18,S} -7 C u0 p0 c0 {1,S} {8,D} {19,S} -8 C u0 p0 c0 {5,S} {7,D} {20,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {3,S} -15 R u0 p0 c0 {4,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {7,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} - -C9H13(26444) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {4,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S} -4 C u0 p0 c0 {2,S} {3,S} {13,S} {14,S} -5 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S} -6 C u0 p0 c0 {2,S} {17,S} {18,S} {19,S} -7 C u0 p0 c0 {1,S} {9,D} {21,S} -8 C u1 p0 c0 {5,S} {9,S} {20,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 H u0 p0 c0 {2,S} -11 H u0 p0 c0 {3,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {4,S} -14 H u0 p0 c0 {4,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {5,S} -17 H u0 p0 c0 {6,S} -18 H u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {8,S} -21 H u0 p0 c0 {7,S} -22 H u0 p0 c0 {9,S} - -C9H12R(18180) -multiplicity 2 -1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {8,D} -6 C u1 p0 c0 {2,S} {4,S} {19,S} -7 C u0 p0 c0 {3,S} {9,D} {20,S} -8 C u0 p0 c0 {5,D} {9,S} {22,S} -9 C u0 p0 c0 {7,D} {8,S} {21,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 R u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {8,S} - -C9H12R(39454) -multiplicity 2 -1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S} -2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S} -3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S} -5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S} -6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S} -7 C u0 p0 c0 {4,S} {5,S} {9,D} -8 C u1 p0 c0 {2,S} {9,S} {21,S} -9 C u0 p0 c0 {7,D} {8,S} {22,S} -10 H u0 p0 c0 {1,S} -11 H u0 p0 c0 {2,S} -12 H u0 p0 c0 {3,S} -13 H u0 p0 c0 {3,S} -14 H u0 p0 c0 {5,S} -15 H u0 p0 c0 {5,S} -16 H u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 R u0 p0 c0 {6,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {6,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} - -C10H13R(18540) -1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S} -2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S} -3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S} -4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {2,S} {4,S} {10,D} -7 C u0 p0 c0 {1,S} {8,D} {20,S} -8 C u0 p0 c0 {3,S} {7,D} {19,S} -9 C u0 p0 c0 {5,D} {21,S} {22,S} -10 C u0 p0 c0 {6,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 R u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {8,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {9,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - -C12H16(18724) -1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S} -2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S} -3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S} -4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S} -5 C u0 p0 c0 {1,S} {3,S} {9,D} -6 C u0 p0 c0 {4,S} {7,D} {11,S} -7 C u0 p0 c0 {2,S} {6,D} {23,S} -8 C u0 p0 c0 {3,S} {10,D} {22,S} -9 C u0 p0 c0 {5,D} {10,S} {25,S} -10 C u0 p0 c0 {8,D} {9,S} {24,S} -11 C u0 p0 c0 {6,S} {12,D} {26,S} -12 C u0 p0 c0 {11,D} {27,S} {28,S} -13 H u0 p0 c0 {1,S} -14 H u0 p0 c0 {1,S} -15 H u0 p0 c0 {2,S} -16 H u0 p0 c0 {2,S} -17 H u0 p0 c0 {3,S} -18 H u0 p0 c0 {3,S} -19 H u0 p0 c0 {4,S} -20 H u0 p0 c0 {4,S} -21 H u0 p0 c0 {4,S} -22 H u0 p0 c0 {8,S} -23 H u0 p0 c0 {7,S} -24 H u0 p0 c0 {10,S} -25 H u0 p0 c0 {9,S} -26 H u0 p0 c0 {11,S} -27 H u0 p0 c0 {12,S} -28 H u0 p0 c0 {12,S} - -C10H13L(22766) -1 C u0 p0 c0 {2,S} {3,S} {6,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S} -3 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S} -4 C u0 p0 c0 {8,S} {16,S} {17,S} {18,S} -5 C u0 p0 c0 {2,S} {9,S} {10,D} -6 C u0 p0 c0 {1,S} {9,D} {19,S} -7 C u0 p0 c0 {3,S} {8,D} {20,S} -8 C u0 p0 c0 {4,S} {7,D} {21,S} -9 C u0 p0 c0 {5,S} {6,D} {22,S} -10 C u0 p0 c0 {5,D} {23,S} {24,S} -11 H u0 p0 c0 {1,S} -12 H u0 p0 c0 {2,S} -13 H u0 p0 c0 {2,S} -14 H u0 p0 c0 {3,S} -15 H u0 p0 c0 {3,S} -16 L u0 p0 c0 {4,S} -17 H u0 p0 c0 {4,S} -18 H u0 p0 c0 {4,S} -19 H u0 p0 c0 {6,S} -20 H u0 p0 c0 {7,S} -21 H u0 p0 c0 {8,S} -22 H u0 p0 c0 {9,S} -23 H u0 p0 c0 {10,S} -24 H u0 p0 c0 {10,S} - diff --git a/ipython/fragment_reattachment_example.ipynb b/ipython/fragment_reattachment_example.ipynb index 8d7b0c6cda2..e3aeb9dd52b 100644 --- a/ipython/fragment_reattachment_example.ipynb +++ b/ipython/fragment_reattachment_example.ipynb @@ -42,8 +42,9 @@ "outputs": [], "source": [ "working_dir = os.getcwd()\n", - "chemkin_path = os.path.join(working_dir, 'data/chem_annotated.inp')\n", - "species_dict_path = os.path.join(working_dir, 'data/species_dictionary.txt')\n", + "# note this is an extremely truncated version of the model to speed up simulation times\n", + "chemkin_path = os.path.join(working_dir, 'data/fragment/chem_annotated.inp')\n", + "species_dict_path = os.path.join(working_dir, 'data/fragment/species_dictionary.txt')\n", "results_path = os.path.join(working_dir, 'results')\n", "if not os.path.exists(results_path):\n", " os.mkdir(results_path)\n", From 01d447cad11018fd11456360c9feb686d43484ec Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 15 Apr 2026 12:21:06 -0400 Subject: [PATCH 339/700] Handle thermo comment with newline through group name Sometimes chemkin writes a thermo comment with a newline splitting the group name. Then extract_source_from_comments fails to get the group. This commit removes the newline and splits up the comment by spaces when extracting the groups from the comment. It also adds a test. --- rmgpy/data/thermo.py | 9 +++++++- test/rmgpy/data/thermoTest.py | 43 +++++++++++++++++++++++++++++++++++ 2 files changed, 51 insertions(+), 1 deletion(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 4ea711b0343..f6d15f702b9 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -2750,7 +2750,14 @@ def extract_source_from_comments(self, species): comment = comment.replace(' + ', ' +') comment = comment.replace(' - ', ' -') - tokens = comment.split() + + # Sometimes chemkin splits the comment with newlines + # this allows us to get rid of newlines while ensuring separate + # groups are still split by spaces + comment = comment.replace(')\n+', ') +') + comment = comment.replace(')\n-', ') -') + comment = comment.replace('\n', '') + tokens = comment.split(' ') groups = {} group_types = list(self.groups.keys()) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index a7c11e9fcd2..57d2fb8a5b7 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -529,6 +529,49 @@ def test_parse_thermo_comments(self): assert source["GAV"]["ring"][0][1] == -1 # the weight of benzene contribution should be -1 assert source["GAV"]["group"][0][1] == 2 # weight of the group(Cs-CsCsHH) conbtribution should be 2 + # Check extract source from comment with tricky group(labelA)\n+ group(labelB) case (newline instead of space to split) + tricky_newline_plus_sp = Species(smiles="[O]C(O)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)F") + tricky_newline_plus_sp.thermo = NASA() + tricky_newline_plus_sp.thermo.comment = 'Thermo group additivity estimation: group(O2s-CsH) + group(O2s-CsH) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2)\n+ group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCFOO) +\ngroup(CsCsFFF) + longDistanceInteraction_noncyclic(Cs(F)3-Cs(F)2) + longDistanceInteraction_noncyclic(Cs(F)3-R-Cs(F)2) + radical(O2sj(Cs-F1sO2sCs))' + source = self.database.extract_source_from_comments(tricky_newline_plus_sp) + assert source['GAV']['group'][0][0].label == "O2s-CsH" + assert source['GAV']['group'][0][1] == 2 + assert source['GAV']['group'][1][0].label == "CsCsCsFF" + assert source['GAV']['group'][1][1] == 6 + assert source['GAV']['group'][2][0].label == "CsCFOO" + assert source['GAV']['group'][2][1] == 1 + assert source['GAV']['group'][3][0].label == "CsCsFFF" + assert source['GAV']['group'][3][1] == 1 + assert source['GAV']['longDistanceInteraction_noncyclic'][0][0].label == "Cs(F)2-Cs(F)2" + assert source['GAV']['longDistanceInteraction_noncyclic'][0][1] == 10 + assert source['GAV']['longDistanceInteraction_noncyclic'][1][0].label == "CsF2-CsF2-CsF2" + assert source['GAV']['longDistanceInteraction_noncyclic'][1][1] == 9 + assert source['GAV']['longDistanceInteraction_noncyclic'][2][0].label == "Cs(F)2-Cs(F)" + assert source['GAV']['longDistanceInteraction_noncyclic'][2][1] == 1 + assert source['GAV']['longDistanceInteraction_noncyclic'][3][0].label == "Cs(F)3-Cs(F)2" + assert source['GAV']['longDistanceInteraction_noncyclic'][3][1] == 1 + assert source['GAV']['longDistanceInteraction_noncyclic'][4][0].label == "Cs(F)3-R-Cs(F)2" + assert source['GAV']['longDistanceInteraction_noncyclic'][4][1] == 1 + assert source['GAV']['radical'][0][0].label == "O2sj(Cs-F1sO2sCs)" + assert source['GAV']['radical'][0][1] == 1 + + # check extract source from comment with newline through group name + newline_sp = Species(smiles="[O]OC(C#N)(C)C") + newline_sp.thermo = NASA() + newline_sp.thermo.comment = 'Thermo group additivity estimation: group(O2s-OsCs) + group(O2s-OsH) + group(N3t-(Cs)Ct) + group(Cs-(Cds-Cds)CsCsOs) + group(Cs-CsHHH) + group(Cs-\nCsHHH) + group(Ct-N3tCs) + radical(C3COOJ)' + source = self.database.extract_source_from_comments(newline_sp) + assert "GAV" in source + assert source['GAV']['group'][0][0].label == "O2s-OsCs" + assert source['GAV']['group'][1][0].label == "O2s-OsH" + assert source['GAV']['group'][2][0].label == "N3t-(Cs)Ct" + assert source['GAV']['group'][3][0].label == "Cs-(Cds-Cds)CsCsOs" + assert source['GAV']['group'][4][0].label == "Cs-CsHHH" + assert source['GAV']['group'][5][0].label == "Ct-N3tCs" + assert source["GAV"]["radical"][0][0].label == "C3COOJ" + assert source["GAV"]["radical"][0][1] == 1 + assert all(source['GAV']['group'][x][1] == 1 for x in [0, 1, 2, 3, 5]) + assert source['GAV']['group'][4][1] == 2 + def test_species_thermo_generation_hbi_library(self): """Test thermo generation for species objects for HBI correction on library value. From 0c9d633fd2aa3bcb9d6eef4648a8ec0a00084013 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sun, 5 Apr 2026 21:33:50 +0300 Subject: [PATCH 340/700] Added the Arkane xTB ESS adapter --- arkane/ess/__init__.py | 1 + arkane/ess/factory.py | 5 +- arkane/ess/xtb.py | 347 +++++++++++++++++++++++++++++++++++++++++ 3 files changed, 352 insertions(+), 1 deletion(-) create mode 100644 arkane/ess/xtb.py diff --git a/arkane/ess/__init__.py b/arkane/ess/__init__.py index ffd1e36bfba..6c9307ebcf7 100644 --- a/arkane/ess/__init__.py +++ b/arkane/ess/__init__.py @@ -39,3 +39,4 @@ from arkane.ess.psi4_parser import Psi4Log from arkane.ess.qchem import QChemLog from arkane.ess.terachem import TeraChemLog +from arkane.ess.xtb import XTBLog diff --git a/arkane/ess/factory.py b/arkane/ess/factory.py index ca0baee26c6..ef156afc18d 100644 --- a/arkane/ess/factory.py +++ b/arkane/ess/factory.py @@ -102,9 +102,12 @@ def ess_factory(fullpath: str, elif 'terachem' in line: ess_name = 'TeraChemLog' break + elif 'x t b' in line or 'xtb version' in line: + ess_name = 'XTBLog' + break line = f.readline().lower() if ess_name is None: raise InputError(f'The file at {fullpath} could not be identified as a ' - f'Gaussian, Molpro, Orca, Psi4, QChem, or TeraChem log file.') + f'Gaussian, Molpro, Orca, Psi4, QChem, TeraChem, or xTB log file.') return _registered_ess_adapters[ess_name](path=fullpath, check_for_errors=check_for_errors, scratch_directory=scratch_directory) diff --git a/arkane/ess/xtb.py b/arkane/ess/xtb.py new file mode 100644 index 00000000000..d0c9b39ea24 --- /dev/null +++ b/arkane/ess/xtb.py @@ -0,0 +1,347 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +Arkane ESS adapter for xTB (extended Tight Binding) output files. +Supports geometry (V2000 and $coord/Turbomol formats), energy, frequencies, +ZPE, and conformer loading. +""" + +import logging +import re + +import numpy as np + +import rmgpy.constants as constants +from rmgpy.statmech import ( + Conformer, + HarmonicOscillator, + IdealGasTranslation, + LinearRotor, + NonlinearRotor, +) + +from arkane.common import ( + get_element_mass, + get_principal_moments_of_inertia, + symbol_by_number, +) +from arkane.exceptions import LogError +from arkane.ess.adapter import ESSAdapter +from arkane.ess.factory import register_ess_adapter + +logger = logging.getLogger(__name__) + +BOHR_TO_ANGSTROM = constants.a0 * 1e10 # ~0.52918 Angstrom +INERTIA_ZERO_TOL = 1e-4 # amu*angstrom^2 + + +def _normalize_symbol(raw: str) -> str: + """Normalize an element symbol from xTB output (e.g. 'c' -> 'C', 'cl' -> 'Cl').""" + if len(raw) == 1: + return raw.upper() + return raw[0].upper() + raw[1:].lower() + + +class XTBLog(ESSAdapter): + """ + Arkane ESS adapter for xTB output files. + + Parses output from the xtb program (https://github.com/grimme-lab/xtb), + including geometry, electronic energy, vibrational frequencies, and + thermochemical data. + + Supported geometry formats: + - V2000 (SDF/Molfile) block from ``--opt`` outputs + - Turbomol ``$coord`` block (Bohr) from ``--opt`` outputs + Frequency-only (``--hess``) outputs do not embed a geometry. + """ + + def check_for_errors(self): + """Check for common xTB errors in the output file.""" + with open(self.path, 'r') as f: + for line in f: + if 'ERROR' in line and 'SETUP' not in line: + raise LogError(f'xTB error found in {self.path}: {line.strip()}') + if 'abnormal termination' in line.lower(): + raise LogError(f'xTB job terminated abnormally in {self.path}') + + def get_number_of_atoms(self) -> int: + """ + Return the number of atoms from the xTB output. + + Tries the explicit 'number of atoms' line first, then falls + back to counting atoms in the geometry block. + """ + with open(self.path, 'r') as f: + for line in f: + if 'number of atoms' in line: + return int(line.split()[-1]) + try: + coord, _, _ = self.load_geometry() + return len(coord) + except LogError: + pass + raise LogError(f'Could not determine the number of atoms in {self.path}') + + def load_geometry(self): + """ + Load the molecular geometry from the xTB output file. + + Supports two formats found in xTB ``--opt`` outputs: + - **V2000 (SDF/Molfile)**: Cartesian coordinates in Angstroms. + - **Turbomol ``$coord``**: Cartesian coordinates in Bohr (converted to Angstroms). + + Frequency-only (``--hess``) outputs do not embed a geometry and will raise. + + Returns: + Tuple of (coord, number, mass): + coord: np.ndarray (n, 3) in Angstroms + number: np.ndarray (n,) atomic numbers + mass: np.ndarray (n,) atomic masses in amu + """ + with open(self.path, 'r') as f: + lines = f.readlines() + coord, number, mass = self._parse_v2000(lines) + if not coord: + coord, number, mass = self._parse_turbomol_coord(lines) + if not coord: + raise LogError(f'Could not find geometry in {self.path}') + return (np.array(coord, dtype=np.float64), + np.array(number, dtype=int), + np.array(mass, dtype=np.float64)) + + @staticmethod + def _parse_v2000(lines): + """Parse V2000 (SDF/Molfile) geometry block. Returns (coord, number, mass) or empty lists.""" + coord, number, mass = [], [], [] + for i, line in enumerate(lines): + if 'V2000' in line: + n_atoms = int(line.split()[0]) + coord, number, mass = [], [], [] + for j in range(i + 1, i + 1 + n_atoms): + tokens = lines[j].split() + x, y, z = float(tokens[0]), float(tokens[1]), float(tokens[2]) + symbol = tokens[3] + coord.append([x, y, z]) + mass_i, num_i = get_element_mass(symbol) + number.append(num_i) + mass.append(mass_i) + return coord, number, mass + + @staticmethod + def _parse_turbomol_coord(lines): + """Parse Turbomol $coord block (Bohr). Converts to Angstroms.""" + coord, number, mass = [], [], [] + in_coord = False + for line in lines: + stripped = line.strip() + if stripped == '$coord': + in_coord = True + coord, number, mass = [], [], [] + continue + if in_coord: + if stripped.startswith('$'): + break + tokens = stripped.split() + if len(tokens) >= 4: + try: + x = float(tokens[0]) * BOHR_TO_ANGSTROM + y = float(tokens[1]) * BOHR_TO_ANGSTROM + z = float(tokens[2]) * BOHR_TO_ANGSTROM + symbol = _normalize_symbol(tokens[3]) + coord.append([x, y, z]) + mass_i, num_i = get_element_mass(symbol) + number.append(num_i) + mass.append(mass_i) + except (ValueError, KeyError): + break + return coord, number, mass + + def load_energy(self, zpe_scale_factor=1.): + """ + Load the electronic energy in J/mol from the xTB output. + + Returns the last ``total energy`` value found. The zero-point energy + is NOT included. + """ + e_elect = None + with open(self.path, 'r') as f: + for line in f: + if ':: total energy' in line: + match = re.search(r'(-?\d+\.\d+)\s+Eh', line) + if match: + e_elect = float(match.group(1)) + elif 'TOTAL ENERGY' in line and 'Eh' in line: + match = re.search(r'(-?\d+\.\d+)\s+Eh', line) + if match: + e_elect = float(match.group(1)) + if e_elect is None: + raise LogError(f'Unable to find energy in xTB output file {self.path}') + return e_elect * constants.E_h * constants.Na + + def load_zero_point_energy(self): + """ + Load the zero-point energy in J/mol from the xTB output. + Only available in frequency (``--hess``) calculations. + """ + zpe = None + with open(self.path, 'r') as f: + for line in f: + if ':: zero point energy' in line or 'zero-point vibrational energy' in line.lower(): + match = re.search(r'(\d+\.\d+)\s+Eh', line) + if match: + zpe = float(match.group(1)) + if zpe is None: + raise LogError(f'Unable to find zero-point energy in xTB output file {self.path}') + return zpe * constants.E_h * constants.Na + + def _load_all_frequencies(self): + """ + Load ALL vibrational frequencies from the last eigval block in the xTB output, + including near-zero (translational/rotational) and negative (imaginary) modes. + + xTB prints frequencies twice (after Hessian and in Frequency Printout). + Returns the last complete set. + """ + all_blocks, current_block = [], [] + with open(self.path, 'r') as f: + for line in f: + if line.strip().startswith('eigval :'): + values = line.split(':')[1].split() + current_block.extend(float(v) for v in values) + elif current_block and not line.strip().startswith('eigval'): + all_blocks.append(current_block) + current_block = [] + if current_block: + all_blocks.append(current_block) + return all_blocks[-1] if all_blocks else [] + + def _load_frequencies(self): + """ + Load positive (real) vibrational frequencies in cm^-1. + Filters out translational/rotational modes (near-zero) and imaginary (negative). + """ + return [f for f in self._load_all_frequencies() if f > 0.1] + + def _load_spin_multiplicity(self): + """ + Determine spin multiplicity from the xTB output. + + xTB reports ``spin`` as S (not 2S+1), so multiplicity = 2*S + 1. + Some xTB versions use ``--uhf N`` where N = number of unpaired electrons. + Default to singlet. + """ + with open(self.path, 'r') as f: + for line in f: + # Format: " spin : 0.5" + if 'spin' in line: + parts = line.split() + if parts and parts[0] == 'spin': + s = float(parts[-1]) + return int(2 * s + 1) + # Also check for unpaired electrons in setup block + if 'unpaired' in line and ':' in line: + parts = line.split(':') + try: + n_unpaired = int(parts[-1].strip()) + return n_unpaired + 1 + except ValueError: + pass + return 1 + + def load_conformer(self, symmetry=None, spin_multiplicity=0, optical_isomers=None, label=''): + """ + Load the molecular degree of freedom data from an xTB output file. + + Requires geometry to be available in the log file (optimization outputs). + For frequency-only outputs, geometry must be loaded from a separate file. + + Returns: + Tuple of (Conformer, unscaled_frequencies). + """ + if optical_isomers is None or symmetry is None: + _optical_isomers, _symmetry, _ = self.get_symmetry_properties() + if optical_isomers is None: + optical_isomers = _optical_isomers + if symmetry is None: + symmetry = _symmetry + + if spin_multiplicity == 0: + spin_multiplicity = self._load_spin_multiplicity() + + unscaled_frequencies = self._load_frequencies() + modes = [] + + # Translation + coord, number, mass = self.load_geometry() + modes.append(IdealGasTranslation(mass=(sum(mass), "amu"))) + + # Rotation — use tolerance for linear molecule detection + symbols = [symbol_by_number[i] for i in number] + inertia = list(get_principal_moments_of_inertia(coord, numbers=number, symbols=symbols)[0]) + if inertia and not all(abs(i) < INERTIA_ZERO_TOL for i in inertia): + nonzero = [i for i in inertia if abs(i) >= INERTIA_ZERO_TOL] + if len(nonzero) < len(inertia): + # Linear molecule: one or more moments are ~zero + modes.append(LinearRotor(inertia=(max(nonzero), "amu*angstrom^2"), symmetry=symmetry)) + else: + modes.append(NonlinearRotor(inertia=(nonzero, "amu*angstrom^2"), symmetry=symmetry)) + + # Vibration + if unscaled_frequencies: + modes.append(HarmonicOscillator(frequencies=(unscaled_frequencies, "cm^-1"))) + + return Conformer(E0=(0.0, "kJ/mol"), + modes=modes, + spin_multiplicity=spin_multiplicity, + optical_isomers=optical_isomers), unscaled_frequencies + + def load_negative_frequency(self): + """Load the first imaginary (negative) frequency in cm^-1 for a transition state.""" + neg_freqs = [f for f in self._load_all_frequencies() if f < -0.1] + if not neg_freqs: + raise LogError(f'No imaginary frequencies found in {self.path}') + return neg_freqs[0] + + def load_force_constant_matrix(self): + """xTB writes a separate hessian file; not parsed from the main output.""" + return None + + def load_scan_energies(self): + raise NotImplementedError('Rotor scans are not supported by the xTB adapter.') + + def load_scan_pivot_atoms(self): + raise NotImplementedError('Rotor scans are not supported by the xTB adapter.') + + def load_scan_frozen_atoms(self): + raise NotImplementedError('Rotor scans are not supported by the xTB adapter.') + + +register_ess_adapter('XTBLog', XTBLog) From 20301f759b7b98b23ea6b3e752ea216923fef3fc Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sun, 5 Apr 2026 21:34:05 +0300 Subject: [PATCH 341/700] Tests: Arkane xTB --- arkane/data/xTB/CO2_xtb.out | 538 ++++++++++++++++++++++++ arkane/data/xTB/NCC_xTB.out | 302 ++++++++++++++ arkane/data/xTB/TS_NH2+N2H3_xtb.out | 429 +++++++++++++++++++ arkane/data/xTB/freq.out | 395 ++++++++++++++++++ arkane/data/xTB/output.out | 525 ++++++++++++++++++++++++ arkane/data/xTB/xtb_opt_1.out | 610 ++++++++++++++++++++++++++++ arkane/data/xTB/xtb_opt_2.out | 581 ++++++++++++++++++++++++++ test/arkane/ess/xtbTest.py | 348 ++++++++++++++++ 8 files changed, 3728 insertions(+) create mode 100644 arkane/data/xTB/CO2_xtb.out create mode 100644 arkane/data/xTB/NCC_xTB.out create mode 100644 arkane/data/xTB/TS_NH2+N2H3_xtb.out create mode 100644 arkane/data/xTB/freq.out create mode 100644 arkane/data/xTB/output.out create mode 100644 arkane/data/xTB/xtb_opt_1.out create mode 100644 arkane/data/xTB/xtb_opt_2.out create mode 100644 test/arkane/ess/xtbTest.py diff --git a/arkane/data/xTB/CO2_xtb.out b/arkane/data/xTB/CO2_xtb.out new file mode 100644 index 00000000000..3eed4a15bb2 --- /dev/null +++ b/arkane/data/xTB/CO2_xtb.out @@ -0,0 +1,538 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN1-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for ALPB and GBSA implicit solvation: + * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput., + 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + for SPH calculations refer to: + * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714 + DOI: 10.1021/acs.jctc.0c01306 + + with help from (in alphabetical order) + P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher + M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer + A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller, + F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar, + J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk, + J. Stückrath, T. Rose, and J. Unsleber + + * started run on 2022/07/25 at 05:22:50.670 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : xtb input.in --ohess + coordinate file : input.in + omp threads : 24 + + ID Z sym. atoms + 1 8 o 1, 3 + 2 6 c 2 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 12 : + : # atomic orbitals 12 : + : # shells 6 : + : # electrons 16 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.1007538 -0.101008E+02 0.106E+01 4.97 0.0 T + 2 -10.0837734 0.169804E-01 0.574E+00 3.59 1.0 T + 3 -10.0773402 0.643318E-02 0.626E+00 5.06 1.0 T + 4 -10.1510321 -0.736919E-01 0.259E-01 4.20 1.0 T + 5 -10.1510272 0.488608E-05 0.921E-02 4.19 1.0 T + 6 -10.1510323 -0.506258E-05 0.265E-02 4.20 2.2 T + 7 -10.1510345 -0.226921E-05 0.418E-03 4.20 13.8 T + 8 -10.1510346 -0.196644E-07 0.156E-03 4.20 37.0 T + 9 -10.1510346 -0.850277E-08 0.674E-06 4.20 8561.2 T + 10 -10.1510346 -0.710543E-13 0.255E-06 4.20 22676.3 T + + *** convergence criteria satisfied after 10 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.7653646 -20.8266 + 2 2.0000 -0.7649366 -20.8150 + 3 2.0000 -0.6584822 -17.9182 + 4 2.0000 -0.6147223 -16.7274 + 5 2.0000 -0.6084645 -16.5572 + 6 2.0000 -0.6084645 -16.5572 + 7 2.0000 -0.5293643 -14.4047 + 8 2.0000 -0.5293643 -14.4047 (HOMO) + 9 -0.3750715 -10.2062 (LUMO) + 10 -0.3750715 -10.2062 + 11 -0.2101496 -5.7185 + 12 0.2402001 6.5362 + ------------------------------------------------------------- + HL-Gap 0.1542928 Eh 4.1985 eV + Fermi-level -0.4522179 Eh -12.3055 eV + + SCC (total) 0 d, 0 h, 0 min, 0.403 sec + SCC setup ... 0 min, 0.010 sec ( 2.419%) + Dispersion ... 0 min, 0.003 sec ( 0.781%) + classical contributions ... 0 min, 0.010 sec ( 2.444%) + integral evaluation ... 0 min, 0.000 sec ( 0.036%) + iterations ... 0 min, 0.286 sec ( 70.971%) + molecular gradient ... 0 min, 0.094 sec ( 23.285%) + printout ... 0 min, 0.000 sec ( 0.057%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -10.135996710859 Eh :: + :: gradient norm 0.370268159994 Eh/a0 :: + :: HOMO-LUMO gap 4.198520838595 eV :: + ::.................................................:: + :: SCC energy -10.151034559557 Eh :: + :: -> isotropic ES 0.030700273527 Eh :: + :: -> anisotropic ES 0.002732467907 Eh :: + :: -> anisotropic XC 0.003162451907 Eh :: + :: -> dispersion -0.000668659270 Eh :: + :: repulsion energy 0.015037855445 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ----------------------------------------------------------- + | ===================== | + | A N C O P T | + | ===================== | + | Approximate Normal Coordinate | + | Rational Function Optimizer | + ----------------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : optimization level normal : + : max. optcycles 200 : + : ANC micro-cycles 20 : + : degrees of freedom 4 : + :.................................................: + : RF solver davidson : + : write xtbopt.log true : + : linear (good luck) true : + : energy convergence 0.5000000E-05 Eh : + : grad. convergence 0.1000000E-02 Eh/α : + : maximium RF displ. 1.0000000 : + : Hlow (freq-cutoff) 0.1000000E-01 : + : Hmax (freq-cutoff) 5.0000000 : + : S6 in model hess. 20.0000000 : + ................................................... + +generating ANC from model Hessian ... +Using Lindh-Hessian (1995) + Shifting diagonal of input Hessian by 0.0000000000000000 + Lowest eigenvalues of input Hessian + 0.000000 0.000000 0.000000 0.000000 0.000000 0.215176 + 0.215176 0.561115 1.673465 + Highest eigenvalues + 0.000000 0.000000 0.215176 0.215176 0.561115 1.673465 + + +........................................................................ +.............................. CYCLE 1 .............................. +........................................................................ + 1 -10.1510346 -0.101510E+02 0.444E-08 4.20 0.0 T + 2 -10.1510346 0.177636E-14 0.438E-08 4.20 100000.0 T + 3 -10.1510346 0.000000E+00 0.118E-08 4.20 100000.0 T + SCC iter. ... 0 min, 0.092 sec + gradient ... 0 min, 0.072 sec + * total energy : -10.1359967 Eh change -0.1243450E-13 Eh + gradient norm : 0.3702682 Eh/α predicted 0.0000000E+00 (-100.00%) + displ. norm : 0.4969294 α lambda -0.1839972E+00 + maximum displ.: 0.4969294 α in ANC's #3, #1, #2, ... + +........................................................................ +.............................. CYCLE 2 .............................. +........................................................................ + 1 -10.3526738 -0.103527E+02 0.234E+00 7.05 0.0 T + 2 -10.3544820 -0.180822E-02 0.145E+00 6.75 1.0 T + 3 -10.3547344 -0.252415E-03 0.774E-01 6.94 1.0 T + 4 -10.3552207 -0.486288E-03 0.757E-02 6.86 1.0 T + 5 -10.3552194 0.132848E-05 0.224E-02 6.86 2.6 T + 6 -10.3552209 -0.153895E-05 0.171E-03 6.86 33.8 T + 7 -10.3552209 -0.351930E-08 0.157E-04 6.85 366.6 T + 8 -10.3552209 -0.336442E-11 0.372E-06 6.85 15531.4 T + SCC iter. ... 0 min, 0.234 sec + gradient ... 0 min, 0.086 sec + * total energy : -10.2874264 Eh change -0.1514297E+00 Eh + gradient norm : 0.1913381 Eh/α predicted -0.1147166E+00 ( -24.24%) + displ. norm : 0.4321505 α lambda -0.8268689E-01 + maximum displ.: 0.4321505 α in ANC's #3, #4, #1, ... + +........................................................................ +.............................. CYCLE 3 .............................. +........................................................................ + 1 -10.5022216 -0.105022E+02 0.282E+00 11.07 0.0 T + 2 -10.5040084 -0.178678E-02 0.164E+00 10.81 1.0 T + 3 -10.5040388 -0.304142E-04 0.476E-01 10.88 1.0 T + 4 -10.5040796 -0.408503E-04 0.682E-02 10.84 1.0 T + 5 -10.5040795 0.881504E-07 0.695E-03 10.84 8.3 T + 6 -10.5040796 -0.107646E-06 0.117E-03 10.84 49.4 T + 7 -10.5040796 -0.753690E-10 0.848E-05 10.84 680.9 T + 8 -10.5040796 -0.688694E-11 0.142E-06 10.84 40655.2 T + SCC iter. ... 0 min, 0.238 sec + gradient ... 0 min, 0.084 sec + * total energy : -10.2681402 Eh change 0.1928617E-01 Eh + gradient norm : 0.3875581 Eh/α predicted -0.4906449E-01 (-354.40%) + displ. norm : 0.2684634 α lambda -0.1040451E+00 + maximum displ.: 0.2684634 α in ANC's #3, #1, #2, ... + +........................................................................ +.............................. CYCLE 4 .............................. +........................................................................ + 1 -10.4154030 -0.104154E+02 0.191E+00 7.94 0.0 T + 2 -10.4168194 -0.141640E-02 0.113E+00 8.19 1.0 T + 3 -10.4169413 -0.121900E-03 0.560E-01 8.07 1.0 T + 4 -10.4170767 -0.135356E-03 0.636E-02 8.11 1.0 T + 5 -10.4170772 -0.501209E-06 0.617E-03 8.12 9.4 T + 6 -10.4170773 -0.811078E-07 0.850E-04 8.12 67.9 T + 7 -10.4170773 -0.107153E-09 0.297E-05 8.12 1942.5 T + SCC iter. ... 0 min, 0.196 sec + gradient ... 0 min, 0.084 sec + * total energy : -10.3076013 Eh change -0.3946106E-01 Eh + gradient norm : 0.0442511 Eh/α predicted -0.5577199E-01 ( 41.33%) + displ. norm : 0.0274909 α lambda -0.1216500E-02 + maximum displ.: 0.0274909 α in ANC's #3, #4, #2, ... + +........................................................................ +.............................. CYCLE 5 .............................. +........................................................................ + 1 -10.4269290 -0.104269E+02 0.178E-01 8.37 0.0 T + 2 -10.4269396 -0.106159E-04 0.105E-01 8.35 1.0 T + 3 -10.4269401 -0.488665E-06 0.480E-02 8.36 1.2 T + 4 -10.4269412 -0.110765E-05 0.548E-03 8.36 10.5 T + 5 -10.4269412 -0.196353E-08 0.167E-04 8.36 345.1 T + 6 -10.4269412 -0.965628E-11 0.805E-05 8.36 717.1 T + SCC iter. ... 0 min, 0.174 sec + gradient ... 0 min, 0.089 sec + * total energy : -10.3083872 Eh change -0.7858751E-03 Eh + gradient norm : 0.0125378 Eh/α predicted -0.6087097E-03 ( -22.54%) + displ. norm : 0.0108672 α lambda -0.1362493E-03 + maximum displ.: 0.0108672 α in ANC's #3, #4, #1, ... + +........................................................................ +.............................. CYCLE 6 .............................. +........................................................................ + 1 -10.4307891 -0.104308E+02 0.714E-02 8.46 0.0 T + 2 -10.4307908 -0.170189E-05 0.420E-02 8.45 1.4 T + 3 -10.4307909 -0.747659E-07 0.190E-02 8.46 3.0 T + 4 -10.4307911 -0.166970E-06 0.218E-03 8.45 26.5 T + 5 -10.4307911 -0.306100E-09 0.575E-05 8.45 1003.4 T + 6 -10.4307911 -0.241585E-12 0.312E-05 8.45 1853.1 T + SCC iter. ... 0 min, 0.180 sec + gradient ... 0 min, 0.081 sec + * total energy : -10.3084521 Eh change -0.6494850E-04 Eh + gradient norm : 0.0006476 Eh/α predicted -0.6813368E-04 ( 4.90%) + displ. norm : 0.0008006 α lambda -0.3461407E-06 + maximum displ.: 0.0008006 α in ANC's #3, #4, #1, ... + +........................................................................ +.............................. CYCLE 7 .............................. +........................................................................ + 1 -10.4305084 -0.104305E+02 0.528E-03 8.45 0.0 T + 2 -10.4305084 -0.935862E-08 0.311E-03 8.45 18.6 T + 3 -10.4305084 -0.421489E-09 0.141E-03 8.45 40.9 T + 4 -10.4305084 -0.915616E-09 0.162E-04 8.45 356.8 T + 5 -10.4305084 -0.173372E-11 0.412E-06 8.45 14005.4 T + SCC iter. ... 0 min, 0.145 sec + gradient ... 0 min, 0.090 sec + * total energy : -10.3084522 Eh change -0.1243137E-06 Eh + gradient norm : 0.0003367 Eh/α predicted -0.1728305E-06 ( 39.03%) + displ. norm : 0.0002739 α lambda -0.5879194E-07 + maximum displ.: 0.0002739 α in ANC's #3, #4, #1, ... + + *** GEOMETRY OPTIMIZATION CONVERGED AFTER 7 ITERATIONS *** + +------------------------------------------------------------------------ + total energy gain : -0.1724555 Eh -108.2175 kcal/mol + total RMSD : 0.4030910 a0 0.2133 Å + total power (kW/mol): -64.6831340 (step) -221.2344 (real) +------------------------------------------------------------------------ + + ANCopt (total) 0 d, 0 h, 0 min, 2.047 sec + optimizer setup ... 0 min, 0.000 sec ( 0.004%) + model hessian ... 0 min, 0.000 sec ( 0.001%) + ANC generation ... 0 min, 0.000 sec ( 0.002%) + coordinate transformation ... 0 min, 0.000 sec ( 0.001%) + single point calculation ... 0 min, 2.002 sec ( 97.802%) + optimization log ... 0 min, 0.001 sec ( 0.038%) + hessian update ... 0 min, 0.044 sec ( 2.127%) + rational function ... 0 min, 0.000 sec ( 0.010%) + +================ + final structure: +================ +$coord + -2.16138153091286E+00 5.20613777548114E-16 1.14673985615952E-18 o + -8.95200516010515E-08 -6.14906634635295E-16 1.14218571599872E-16 c + 2.16138162043291E+00 4.79212730686445E-16 -2.64708229938330E-17 o +$eht charge=0 unpaired=0 +$periodic 0 +$end + + Bond Distances (Angstroems) + --------------------------- +O1-C2=1.1438 C2-O1=1.1438 C2-O3=1.1438 O3-C2=1.1438 + O C Rav=1.1438 sigma=0.0000 Rmin=1.1438 Rmax=1.1438 2 + + selected bond angles (degree) + -------------------- +O3-C2-O1=180.00 + + selected dihedral angles (degree) + --------------------------------- + + ------------------------------------------------- + | Final Singlepoint | + ------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : # basis functions 12 : + : # atomic orbitals 12 : + : # shells 6 : + : # electrons 16 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.4305084 -0.104305E+02 0.342E-07 8.45 0.0 T + 2 -10.4305084 0.532907E-14 0.186E-07 8.45 100000.0 T + 3 -10.4305084 0.177636E-14 0.936E-08 8.45 100000.0 T + + *** convergence criteria satisfied after 3 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.8107966 -22.0629 + 2 2.0000 -0.7966721 -21.6786 + 3 2.0000 -0.6648029 -18.0902 + 4 2.0000 -0.6634459 -18.0533 + 5 2.0000 -0.6634459 -18.0533 + 6 2.0000 -0.5998444 -16.3226 + 7 2.0000 -0.5344372 -14.5428 + 8 2.0000 -0.5344372 -14.5428 (HOMO) + 9 -0.2240446 -6.0966 (LUMO) + 10 -0.2240446 -6.0966 + 11 0.3095444 8.4231 + 12 1.3634789 37.1021 + ------------------------------------------------------------- + HL-Gap 0.3103926 Eh 8.4462 eV + Fermi-level -0.3792409 Eh -10.3197 eV + + SCC (total) 0 d, 0 h, 0 min, 0.201 sec + SCC setup ... 0 min, 0.006 sec ( 2.736%) + Dispersion ... 0 min, 0.011 sec ( 5.648%) + classical contributions ... 0 min, 0.006 sec ( 2.905%) + integral evaluation ... 0 min, 0.000 sec ( 0.067%) + iterations ... 0 min, 0.096 sec ( 47.486%) + molecular gradient ... 0 min, 0.083 sec ( 41.110%) + printout ... 0 min, 0.000 sec ( 0.032%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -10.308452243026 Eh :: + :: gradient norm 0.000336725868 Eh/a0 :: + :: HOMO-LUMO gap 8.446212794931 eV :: + ::.................................................:: + :: SCC energy -10.430508422218 Eh :: + :: -> isotropic ES 0.032323956216 Eh :: + :: -> anisotropic ES 0.003405391673 Eh :: + :: -> anisotropic XC 0.000434262888 Eh :: + :: -> dispersion -0.000687147517 Eh :: + :: repulsion energy 0.122056180790 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Numerical Hessian | + ------------------------------------------------- +step length : 0.00500 +SCC accuracy : 0.30000 +Hessian scale factor : 1.00000 +frozen atoms in % : 0.00000 0 +RMS gradient : 0.00034 +estimated CPU time 0.00 min +estimated wall time 0.00 min + +writing file . + + vibrational frequencies (cm⁻¹) +eigval : 0.00 0.00 0.00 0.00 0.00 600.70 +eigval : 600.70 1424.29 2592.18 + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.8107966 -22.0629 + 2 2.0000 -0.7966721 -21.6786 + 3 2.0000 -0.6648029 -18.0902 + 4 2.0000 -0.6634459 -18.0533 + 5 2.0000 -0.6634459 -18.0533 + 6 2.0000 -0.5998444 -16.3226 + 7 2.0000 -0.5344372 -14.5428 + 8 2.0000 -0.5344372 -14.5428 (HOMO) + 9 -0.2240446 -6.0966 (LUMO) + 10 -0.2240446 -6.0966 + 11 0.3095444 8.4231 + 12 1.3634789 37.1021 + ------------------------------------------------------------- + HL-Gap 0.3103926 Eh 8.4462 eV + Fermi-level -0.3792409 Eh -10.3197 eV + + # Z covCN q C6AA α(0) + 1 8 o 0.856 -0.232 18.599 5.782 + 2 6 c 1.711 0.464 21.601 7.524 + 3 8 o 0.856 -0.232 18.599 5.782 + + Mol. C6AA /au·bohr⁶ : 174.800064 + Mol. C8AA /au·bohr⁸ : 4029.888003 + Mol. α(0) /au : 19.088404 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 8 o 2.370 -- 2 c 1.968 3 o 0.402 + 2 6 c 3.936 -- 1 o 1.968 3 o 1.968 + 3 8 o 2.370 -- 2 c 1.968 1 o 0.402 + --------------------------------------------------------------------------- + +Topologies differ in total number of bonds +Writing topology from bond orders to xtbtopo.mol + +molecular dipole: + x y z tot (Debye) + q only: -0.000 0.000 0.000 + full: -0.000 0.000 0.000 0.000 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: -2.169 0.000 1.084 0.000 -0.000 1.084 +Molecule has the following symmetry elements: (i) (Cinf) (C2) 2*(sigma) +It seems to be the Dinfh point group diff --git a/arkane/data/xTB/NCC_xTB.out b/arkane/data/xTB/NCC_xTB.out new file mode 100644 index 00000000000..4437d65f6c4 --- /dev/null +++ b/arkane/data/xTB/NCC_xTB.out @@ -0,0 +1,302 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN1-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for ALPB and GBSA implicit solvation: + * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput., + 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + for SPH calculations refer to: + * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714 + DOI: 10.1021/acs.jctc.0c01306 + + with help from (in alphabetical order) + P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher + M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer + A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller, + F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar, + J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk, + J. Stückrath, T. Rose, and J. Unsleber + + * started run on 2022/07/25 at 04:54:15.181 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : xtb input.in + coordinate file : input.in + omp threads : 24 + + ID Z sym. atoms + 1 7 n 1 + 2 6 c 2, 3 + 3 1 h 4-10 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 19 : + : # atomic orbitals 19 : + : # shells 13 : + : # electrons 20 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.8729960 -0.108730E+02 0.292E+00 11.01 0.0 T + 2 -10.8929483 -0.199524E-01 0.155E+00 11.27 1.0 T + 3 -10.8936747 -0.726402E-03 0.682E-01 11.31 1.0 T + 4 -10.8937471 -0.723836E-04 0.975E-02 11.23 1.0 T + 5 -10.8937514 -0.431045E-05 0.454E-02 11.23 1.0 T + 6 -10.8937519 -0.433308E-06 0.996E-03 11.23 3.2 T + 7 -10.8937520 -0.145291E-06 0.204E-03 11.23 15.5 T + 8 -10.8937520 -0.295992E-08 0.302E-04 11.23 104.8 T + 9 -10.8937520 -0.577529E-10 0.101E-04 11.23 312.6 T + + *** convergence criteria satisfied after 9 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6265775 -17.0500 + ... ... ... ... + 4 2.0000 -0.5194537 -14.1351 + 5 2.0000 -0.5163789 -14.0514 + 6 2.0000 -0.4884890 -13.2925 + 7 2.0000 -0.4537369 -12.3468 + 8 2.0000 -0.4523900 -12.3102 + 9 2.0000 -0.4388175 -11.9408 + 10 2.0000 -0.3630745 -9.8798 (HOMO) + 11 0.0494719 1.3462 (LUMO) + 12 0.1260207 3.4292 + 13 0.1321555 3.5961 + 14 0.1464083 3.9840 + 15 0.1742217 4.7408 + ... ... ... + 19 0.2783726 7.5749 + ------------------------------------------------------------- + HL-Gap 0.4125464 Eh 11.2260 eV + Fermi-level -0.1568013 Eh -4.2668 eV + + SCC (total) 0 d, 0 h, 0 min, 0.434 sec + SCC setup ... 0 min, 0.003 sec ( 0.758%) + Dispersion ... 0 min, 0.015 sec ( 3.539%) + classical contributions ... 0 min, 0.011 sec ( 2.561%) + integral evaluation ... 0 min, 0.027 sec ( 6.269%) + iterations ... 0 min, 0.286 sec ( 65.962%) + molecular gradient ... 0 min, 0.086 sec ( 19.712%) + printout ... 0 min, 0.005 sec ( 1.187%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -10.752192838993 Eh :: + :: gradient norm 0.017368634110 Eh/a0 :: + :: HOMO-LUMO gap 11.225958754700 eV :: + ::.................................................:: + :: SCC energy -10.893752005864 Eh :: + :: -> isotropic ES 0.012212916399 Eh :: + :: -> anisotropic ES 0.004311068440 Eh :: + :: -> anisotropic XC 0.010072177729 Eh :: + :: -> dispersion -0.003443587089 Eh :: + :: repulsion energy 0.141558330550 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge 0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6265775 -17.0500 + 2 2.0000 -0.5920275 -16.1099 + 3 2.0000 -0.5610626 -15.2673 + 4 2.0000 -0.5194537 -14.1351 + 5 2.0000 -0.5163789 -14.0514 + 6 2.0000 -0.4884890 -13.2925 + 7 2.0000 -0.4537369 -12.3468 + 8 2.0000 -0.4523900 -12.3102 + 9 2.0000 -0.4388175 -11.9408 + 10 2.0000 -0.3630745 -9.8798 (HOMO) + 11 0.0494719 1.3462 (LUMO) + 12 0.1260207 3.4292 + 13 0.1321555 3.5961 + 14 0.1464083 3.9840 + 15 0.1742217 4.7408 + 16 0.1783232 4.8524 + 17 0.2369989 6.4491 + 18 0.2534620 6.8971 + 19 0.2783726 7.5749 + ------------------------------------------------------------- + HL-Gap 0.4125464 Eh 11.2260 eV + Fermi-level -0.1568013 Eh -4.2668 eV + + # Z covCN q C6AA α(0) + 1 7 n 2.629 -0.343 28.846 7.977 + 2 6 c 3.730 0.030 20.157 6.409 + 3 6 c 3.750 -0.106 22.587 6.778 + 4 1 h 0.860 0.136 1.503 1.920 + 5 1 h 0.860 0.131 1.535 1.941 + 6 1 h 0.924 0.003 3.014 2.715 + 7 1 h 0.924 0.032 2.557 2.501 + 8 1 h 0.924 0.036 2.508 2.477 + 9 1 h 0.924 0.034 2.529 2.487 + 10 1 h 0.924 0.048 2.349 2.397 + + Mol. C6AA /au·bohr⁶ : 628.954400 + Mol. C8AA /au·bohr⁸ : 12386.610898 + Mol. α(0) /au : 37.600519 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 7 n 2.993 -- 2 c 1.020 5 h 0.970 4 h 0.968 + 2 6 c 3.988 -- 1 n 1.020 3 c 1.019 7 h 0.976 + 6 h 0.973 + 3 6 c 3.996 -- 2 c 1.019 8 h 0.987 10 h 0.987 + 9 h 0.986 + 4 1 h 0.982 -- 1 n 0.968 + 5 1 h 0.983 -- 1 n 0.970 + 6 1 h 1.000 -- 2 c 0.973 + 7 1 h 0.999 -- 2 c 0.976 + 8 1 h 0.999 -- 3 c 0.987 + 9 1 h 0.999 -- 3 c 0.986 + 10 1 h 0.998 -- 3 c 0.987 + --------------------------------------------------------------------------- + +Topologies differ in total number of bonds +Writing topology from bond orders to xtbtopo.mol + +molecular dipole: + x y z tot (Debye) + q only: 0.003 -0.023 0.184 + full: 0.166 -0.066 0.538 1.440 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: 1.022 -0.244 0.347 0.365 -0.168 -1.368 + q+dip: 1.494 -0.410 0.893 1.651 -0.993 -2.387 + full: 1.871 -0.443 0.872 1.346 -0.769 -2.743 + + + ------------------------------------------------- + | TOTAL ENERGY -10.752192838993 Eh | + | GRADIENT NORM 0.017368634110 Eh/α | + | HOMO-LUMO GAP 11.225958754700 eV | + ------------------------------------------------- + +------------------------------------------------------------------------ + * finished run on 2022/07/25 at 04:54:15.712 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 0.532 sec + * cpu-time: 0 d, 0 h, 0 min, 12.160 sec + * ratio c/w: 22.878 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 0.434 sec + * cpu-time: 0 d, 0 h, 0 min, 9.928 sec + * ratio c/w: 22.856 speedup + diff --git a/arkane/data/xTB/TS_NH2+N2H3_xtb.out b/arkane/data/xTB/TS_NH2+N2H3_xtb.out new file mode 100644 index 00000000000..7985d0efe4c --- /dev/null +++ b/arkane/data/xTB/TS_NH2+N2H3_xtb.out @@ -0,0 +1,429 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN1-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for ALPB and GBSA implicit solvation: + * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput., + 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + for SPH calculations refer to: + * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714 + DOI: 10.1021/acs.jctc.0c01306 + + with help from (in alphabetical order) + P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher + M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer + A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller, + F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar, + J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk, + J. Stückrath, T. Rose, and J. Unsleber + + * started run on 2022/07/25 at 05:40:34.195 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : xtb input.in --hess + coordinate file : input.in + omp threads : 24 + + ID Z sym. atoms + 1 7 n 1, 4, 7 + 2 1 h 2, 3, 5, 6, 8 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + +q/qsh data taken from xtbrestart +CAMM data taken from xtbrestart + + ................................................... + : SETUP : + :.................................................: + : # basis functions 17 : + : # atomic orbitals 17 : + : # shells 11 : + : # electrons 20 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? true : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.8541976 -0.108542E+02 0.478E+00 0.77 0.0 T + 2 -10.8519591 0.223848E-02 0.832E+00 1.15 1.0 T + 3 -10.9247349 -0.727758E-01 0.679E+00 0.44 1.0 T + 4 -11.1151403 -0.190405E+00 0.402E+00 1.05 1.0 T + 5 -11.0968475 0.182927E-01 0.354E+00 0.99 1.0 T + 6 -11.1356853 -0.388377E-01 0.356E+00 0.42 1.0 T + 7 -11.1361959 -0.510646E-03 0.338E+00 0.39 1.0 T + 8 -11.0815338 0.546621E-01 0.325E+00 0.04 1.0 T + 9 -10.9657623 0.115771E+00 0.598E+00 0.25 1.0 T + 10 -10.9813757 -0.156135E-01 0.562E+00 0.16 1.0 T + 11 -11.0850405 -0.103665E+00 0.296E+00 0.58 1.0 T + 12 -11.1090041 -0.239636E-01 0.287E+00 0.55 1.0 T + 13 -11.1231508 -0.141467E-01 0.269E+00 0.39 1.0 T + 14 -11.1434646 -0.203138E-01 0.177E+00 0.13 1.0 T + 15 -11.1474659 -0.400126E-02 0.133E+00 0.10 1.0 T + 16 -11.1468049 0.660925E-03 0.122E+00 0.10 1.0 T + 17 -11.0997765 0.470284E-01 0.318E+00 0.03 1.0 T + 18 -11.1245114 -0.247349E-01 0.230E+00 0.22 1.0 T + 19 -11.1499837 -0.254723E-01 0.689E-01 0.03 1.0 T + 20 -11.1447688 0.521491E-02 0.126E+00 0.10 1.0 T + 21 -11.1437502 0.101859E-02 0.130E+00 0.01 1.0 T + 22 -11.1458133 -0.206309E-02 0.115E+00 0.10 1.0 T + 23 -11.1495056 -0.369235E-02 0.793E-01 0.03 1.0 T + 24 -11.1509990 -0.149338E-02 0.600E-01 0.07 1.0 T + 25 -11.1522716 -0.127261E-02 0.344E-01 0.04 1.0 T + 26 -11.1526765 -0.404833E-03 0.212E-01 0.06 1.0 T + 27 -11.1528564 -0.179882E-03 0.105E-01 0.05 1.0 T + 28 -11.1529043 -0.479848E-04 0.470E-02 0.05 1.0 T + 29 -11.1529137 -0.933667E-05 0.222E-02 0.05 1.6 T + 30 -11.1529162 -0.252341E-05 0.408E-03 0.05 8.7 T + 31 -11.1529162 -0.506488E-07 0.306E-03 0.05 11.5 T + 32 -11.1529163 -0.301140E-07 0.182E-03 0.05 19.5 T + 33 -11.1529163 -0.156650E-07 0.215E-04 0.05 164.4 T + 34 -11.1529163 0.216634E-09 0.347E-04 0.05 101.8 T + + *** convergence criteria satisfied after 34 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6878200 -18.7165 + ... ... ... ... + 4 2.0000 -0.5614664 -15.2783 + 5 2.0000 -0.5454139 -14.8415 + 6 2.0000 -0.5183795 -14.1058 + 7 2.0000 -0.4603694 -12.5273 + 8 2.0000 -0.4090447 -11.1307 + 9 2.0000 -0.3904638 -10.6251 + 10 1.4572 -0.3423259 -9.3152 (HOMO) + 11 0.5428 -0.3404496 -9.2641 (LUMO) + 12 -0.0197704 -0.5380 + 13 0.0427379 1.1630 + 14 0.1212398 3.2991 + 15 0.1278854 3.4799 + ... ... ... + 17 0.2388268 6.4988 + ------------------------------------------------------------- + HL-Gap 0.0018763 Eh 0.0511 eV + Fermi-level -0.3413878 Eh -9.2896 eV + + SCC (total) 0 d, 0 h, 0 min, 1.199 sec + SCC setup ... 0 min, 0.009 sec ( 0.751%) + Dispersion ... 0 min, 0.021 sec ( 1.752%) + classical contributions ... 0 min, 0.010 sec ( 0.830%) + integral evaluation ... 0 min, 0.020 sec ( 1.669%) + iterations ... 0 min, 1.050 sec ( 87.616%) + molecular gradient ... 0 min, 0.088 sec ( 7.371%) + printout ... 0 min, 0.000 sec ( 0.008%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -11.067932211213 Eh :: + :: gradient norm 0.044042780703 Eh/a0 :: + :: HOMO-LUMO gap 0.051055839133 eV :: + ::.................................................:: + :: SCC energy -11.152916291942 Eh :: + :: -> isotropic ES 0.029139599864 Eh :: + :: -> anisotropic ES 0.002736060526 Eh :: + :: -> anisotropic XC 0.017808727226 Eh :: + :: -> dispersion -0.002230701284 Eh :: + :: repulsion energy 0.084983559547 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge 0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Numerical Hessian | + ------------------------------------------------- +step length : 0.00500 +SCC accuracy : 0.30000 +Hessian scale factor : 1.00000 +frozen atoms in % : 0.00000 0 +RMS gradient : 0.04405 !! INCOMPLETELY OPTIMIZED GEOMETRY !! +estimated CPU time 0.02 min +estimated wall time 0.00 min + +writing file . + + projected vibrational frequencies (cm⁻¹) +eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00 +eigval : -781.89 139.33 236.79 327.73 471.51 690.72 +eigval : 827.09 915.23 1056.62 1185.04 1315.85 1347.33 +eigval : 1424.36 1497.04 3181.14 3367.54 3433.32 3467.59 + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6878196 -18.7165 + 2 2.0000 -0.6237956 -16.9743 + 3 2.0000 -0.5877989 -15.9948 + 4 2.0000 -0.5614663 -15.2783 + 5 2.0000 -0.5454136 -14.8415 + 6 2.0000 -0.5183796 -14.1058 + 7 2.0000 -0.4603691 -12.5273 + 8 2.0000 -0.4090446 -11.1307 + 9 2.0000 -0.3904640 -10.6251 + 10 1.4574 -0.3423267 -9.3152 (HOMO) + 11 0.5426 -0.3404496 -9.2641 (LUMO) + 12 -0.0197701 -0.5380 + 13 0.0427381 1.1630 + 14 0.1212399 3.2991 + 15 0.1278853 3.4799 + 16 0.1978072 5.3826 + 17 0.2388270 6.4988 + ------------------------------------------------------------- + HL-Gap 0.0018771 Eh 0.0511 eV + Fermi-level -0.3413882 Eh -9.2896 eV + + # Z covCN q C6AA α(0) + 1 7 n 2.651 -0.217 25.747 7.536 + 2 1 h 0.860 0.162 1.321 1.801 + 3 1 h 1.296 0.231 0.947 1.519 + 4 7 n 2.699 -0.194 25.208 7.457 + 5 1 h 0.860 0.162 1.319 1.799 + 6 1 h 0.860 0.181 1.207 1.721 + 7 7 n 1.343 -0.433 29.864 7.794 + 8 1 h 0.859 0.108 1.730 2.060 + + Mol. C6AA /au·bohr⁶ : 449.984263 + Mol. C8AA /au·bohr⁸ : 8598.507649 + Mol. α(0) /au : 31.686407 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 7 n 2.845 -- 4 n 1.128 2 h 0.962 3 h 0.570 + 7 n 0.178 + 2 1 h 0.973 -- 1 n 0.962 + 3 1 h 0.946 -- 1 n 0.570 7 n 0.364 + 4 7 n 3.163 -- 1 n 1.128 5 h 0.958 6 h 0.945 + 7 n 0.128 + 5 1 h 0.971 -- 4 n 0.958 + 6 1 h 0.961 -- 4 n 0.945 + 7 7 n 1.664 -- 8 h 0.988 3 h 0.364 1 n 0.178 + 4 n 0.128 + 8 1 h 0.988 -- 7 n 0.988 + --------------------------------------------------------------------------- + +Topologies differ in total number of bonds +Writing topology from bond orders to xtbtopo.mol + +molecular dipole: + x y z tot (Debye) + q only: -1.588 0.009 0.342 + full: -1.927 -0.171 0.894 5.417 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: -2.416 1.215 0.857 0.584 0.526 1.560 +Molecule has no symmetry elements +It seems to be the C1 point group + q+dip: -1.976 -0.198 -0.541 1.330 1.113 2.518 + full: -1.727 -0.022 -0.415 1.348 1.270 2.141 + + ------------------------------------------------- + | Frequency Printout | + ------------------------------------------------- + projected vibrational frequencies (cm⁻¹) +eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00 +eigval : -781.89 139.33 236.79 327.73 471.51 690.72 +eigval : 827.09 915.23 1056.62 1185.04 1315.85 1347.33 +eigval : 1424.36 1497.04 3181.14 3367.54 3433.32 3467.59 + reduced masses (amu) + 1: 12.12 2: 11.73 3: 12.46 4: 12.33 5: 12.01 6: 10.98 7: 4.41 8: 1.76 + 9: 9.60 10: 4.15 11: 6.89 12: 4.75 13: 4.81 14: 3.48 15: 2.74 16: 10.71 + 17: 3.60 18: 1.96 19: 1.62 20: 1.77 21: 1.86 22: 1.83 23: 1.46 24: 2.15 + IR intensities (km·mol⁻¹) + 1: 2.82 2: 10.07 3: 0.26 4: 1.70 5: 12.02 6: 12.77 7:168.96 8: 45.26 + 9: 0.96 10: 51.09 11: 49.16 12:118.12 13:115.92 14: 82.29 15: 38.59 16: 69.80 + 17: 25.25 18: 94.03 19: 46.21 20: 9.84 21: 53.59 22: 4.79 23: 10.08 24: 1.41 + Raman intensities (amu) + 1: 0.00 2: 0.00 3: 0.00 4: 0.00 5: 0.00 6: 0.00 7: 0.00 8: 0.00 + 9: 0.00 10: 0.00 11: 0.00 12: 0.00 13: 0.00 14: 0.00 15: 0.00 16: 0.00 + 17: 0.00 18: 0.00 19: 0.00 20: 0.00 21: 0.00 22: 0.00 23: 0.00 24: 0.00 + output can be read by thermo (or use thermo option). + writing molden fake output. + recommended (thermochemical) frequency scaling factor: 1.0 + ------------------------------------------------- + | Thermodynamic Functions | + ------------------------------------------------- + +c1 symmetry found (for desy threshold: 0.10E+00) used in thermo + + ................................................... + : SETUP : + :.................................................: + : # frequencies 17 : + : # imaginary freq. 1 : + : linear? false : + : only rotor calc. false : + : symmetry c1 : + : rotational number 1 : + : scaling factor 1.0000000 : + : rotor cutoff 50.0000000 cm⁻¹ : + : imag. cutoff -20.0000000 cm⁻¹ : + :.................................................: + + mode ω/cm⁻¹ T·S(HO)/kcal·mol⁻¹ T·S(FR)/kcal·mol⁻¹ T·S(vib) + ------------------------------------------------------------------------ + 1 139.33 -0.83870 ( 98.37%) -0.75242 ( 1.63%) -0.83729 + 2 236.79 -0.54469 ( 99.80%) -0.59554 ( 0.20%) -0.54479 + ------------------------------------------------------------------------ + + temp. (K) partition function enthalpy heat capacity entropy + cal/mol cal/K/mol cal/K/mol J/K/mol + 298.15 VIB 4.57 1328.586 9.523 7.470 + ROT 0.278E+05 888.752 2.981 23.316 + INT 0.127E+06 2217.338 12.504 30.786 + TR 0.312E+27 1481.254 4.968 37.454 + TOT 3698.5919 17.4721 68.2401 285.5166 + + T/K H(0)-H(T)+PV H(T)/Eh T*S/Eh G(T)/Eh + ------------------------------------------------------------------------ + 298.15 0.589408E-02 0.625845E-01 0.324231E-01 0.301614E-01 + ------------------------------------------------------------------------ + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: THERMODYNAMIC :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total free energy -11.037770792106 Eh :: + ::.................................................:: + :: total energy -11.067932210697 Eh :: + :: zero point energy 0.056690417480 Eh :: + :: G(RRHO) w/o ZPVE -0.026528998888 Eh :: + :: G(RRHO) contrib. 0.030161418591 Eh :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: +imag cut-off (cm-1) : 5.00 + found 1 significant imaginary frequency + writing imag mode distorted coords to xtbhess.coord + for further optimization. + + ------------------------------------------------- + | TOTAL ENERGY -11.067932210697 Eh | + | TOTAL ENTHALPY -11.005347711824 Eh | + | TOTAL FREE ENERGY -11.037770792106 Eh | + | GRADIENT NORM 0.044051109476 Eh/α | + | HOMO-LUMO GAP 0.051079223054 eV | + ------------------------------------------------- +######################################################################## +[WARNING] Runtime exception occurred +-1- hessian_numhess: Hessian on incompletely optimized geometry! +######################################################################## + +------------------------------------------------------------------------ + * finished run on 2022/07/25 at 05:40:35.738 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 1.542 sec + * cpu-time: 0 d, 0 h, 0 min, 35.521 sec + * ratio c/w: 23.030 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 1.199 sec + * cpu-time: 0 d, 0 h, 0 min, 27.666 sec + * ratio c/w: 23.074 speedup + analytical hessian: + * wall-time: 0 d, 0 h, 0 min, 0.252 sec + * cpu-time: 0 d, 0 h, 0 min, 5.763 sec + * ratio c/w: 22.840 speedup + diff --git a/arkane/data/xTB/freq.out b/arkane/data/xTB/freq.out new file mode 100644 index 00000000000..f7d46b23c43 --- /dev/null +++ b/arkane/data/xTB/freq.out @@ -0,0 +1,395 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.3.3 (71d3805) compiled by 'conda@b85dec0bf610' on 2021-01-07 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN1-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + with help from (in alphabetical order) + C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski, + S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek, + P. Pracht, P. Shushkov, and S. Spicher. + + * started run on 2026/04/05 at 21:13:14.497 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : /home/alon/anaconda3/envs/xtb_env/bin/xtb mol.sdf --hess --gfn2 --parallel --uhf 1 --chrg 0 + coordinate file : mol.sdf + omp threads : 28 + number of atoms : 10 + number of electrons : 19 + charge : 0 + spin : 0.5 + first test random number : 0.65715491998447 + + ID Z sym. atoms + 1 6 C 1-3 + 2 1 H 4-10 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 19 : + : # atomic orbitals 19 : + : # shells 13 : + : # electrons 19 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.0416711 -0.100417E+02 0.261E+00 10.94 0.0 T + 2 -10.0633074 -0.216363E-01 0.128E+00 11.04 1.0 T + 3 -10.0636420 -0.334646E-03 0.626E-01 11.05 1.0 T + 4 -10.0637056 -0.635153E-04 0.802E-02 11.02 1.0 T + 5 -10.0637056 -0.179674E-07 0.178E-02 11.02 1.8 T + 6 -10.0637060 -0.424862E-06 0.287E-03 11.02 11.0 T + 7 -10.0637060 -0.813378E-08 0.880E-04 11.02 36.0 T + 8 -10.0637060 -0.139483E-08 0.213E-04 11.02 148.8 T + + *** convergence criteria satisfied after 8 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6061683 -16.4947 + ... ... ... ... + 4 2.0000 -0.4986683 -13.5695 + 5 2.0000 -0.4853163 -13.2061 + 6 2.0000 -0.4739663 -12.8973 + 7 2.0000 -0.4615788 -12.5602 + 8 2.0000 -0.4406775 -11.9914 + 9 2.0000 -0.4305099 -11.7148 + 10 1.0000 -0.2854557 -7.7676 (HOMO) + 11 0.1195484 3.2531 (LUMO) + 12 0.1500368 4.0827 + 13 0.1796854 4.8895 + 14 0.1856294 5.0512 + 15 0.1978893 5.3848 + ... ... ... + 19 0.3654091 9.9433 + ------------------------------------------------------------- + HL-Gap 0.4050041 Eh 11.0207 eV + Fermi-level -0.2204682 Eh -5.9992 eV + + SCC (total) 0 d, 0 h, 0 min, 0.001 sec + SCC setup ... 0 min, 0.000 sec ( 4.544%) + Dispersion ... 0 min, 0.000 sec ( 3.231%) + classical contributions ... 0 min, 0.000 sec ( 1.655%) + integral evaluation ... 0 min, 0.000 sec ( 17.352%) + iterations ... 0 min, 0.001 sec ( 41.202%) + molecular gradient ... 0 min, 0.000 sec ( 27.611%) + printout ... 0 min, 0.000 sec ( 3.837%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -9.907945789900 Eh :: + :: gradient norm 0.000167508372 Eh/a0 :: + :: HOMO-LUMO gap 11.020722679226 eV :: + ::.................................................:: + :: SCC energy -10.063706015090 Eh :: + :: -> isotropic ES 0.002969205741 Eh :: + :: -> anisotropic ES 0.003814162232 Eh :: + :: -> anisotropic XC 0.007249074358 Eh :: + :: -> dispersion -0.003488521930 Eh :: + :: repulsion energy 0.155759193674 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge 0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Numerical Hessian | + ------------------------------------------------- +step length : 0.00500 +SCC accuracy : 0.30000 +Hessian scale factor : 1.00000 +frozen atoms in % : 0.00000 0 +RMS gradient : 0.00017 +estimated CPU time 0.00 min +estimated wall time 0.00 min + +writing file . + + projected vibrational frequencies (cm-1) +eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00 +eigval : 63.60 78.48 387.35 421.10 940.62 946.86 +eigval : 956.71 1028.72 1167.73 1180.95 1343.10 1393.57 +eigval : 1405.68 1465.51 1475.29 1481.36 1484.29 2854.51 +eigval : 2860.02 2993.19 2993.57 3004.99 3009.56 3104.88 + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6061685 -16.4947 + 2 2.0000 -0.5856626 -15.9367 + 3 2.0000 -0.5406394 -14.7115 + 4 2.0000 -0.4986683 -13.5695 + 5 2.0000 -0.4853160 -13.2061 + 6 2.0000 -0.4739665 -12.8973 + 7 2.0000 -0.4615787 -12.5602 + 8 2.0000 -0.4406776 -11.9914 + 9 2.0000 -0.4305100 -11.7148 + 10 1.0000 -0.2854551 -7.7676 (HOMO) + 11 0.1195485 3.2531 (LUMO) + 12 0.1500364 4.0827 + 13 0.1796854 4.8895 + 14 0.1856298 5.0512 + 15 0.1978891 5.3848 + 16 0.2104543 5.7268 + 17 0.2219295 6.0390 + 18 0.3220796 8.7642 + 19 0.3654094 9.9433 + ------------------------------------------------------------- + HL-Gap 0.4050036 Eh 11.0207 eV + Fermi-level -0.2204679 Eh -5.9992 eV + + # Z covCN q C6AA α(0) + 1 6 C 3.752 -0.096 22.389 6.748 + 2 6 C 3.751 -0.096 22.389 6.748 + 3 6 C 2.882 -0.072 29.797 8.949 + 4 1 H 0.923 0.044 2.396 2.421 + 5 1 H 0.924 0.039 2.463 2.454 + 6 1 H 0.925 0.039 2.457 2.451 + 7 1 H 0.925 0.039 2.458 2.452 + 8 1 H 0.924 0.039 2.462 2.454 + 9 1 H 0.923 0.044 2.396 2.421 + 10 1 H 0.926 0.019 2.751 2.594 + + Mol. C6AA /au·bohr⁶ : 671.387425 + Mol. C8AA /au·bohr⁸ : 14020.731634 + Mol. α(0) /au : 39.690034 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 6 C 3.988 -- 3 C 1.079 6 H 0.978 5 H 0.973 + 4 H 0.940 + 2 6 C 3.988 -- 3 C 1.079 7 H 0.978 8 H 0.973 + 9 H 0.940 + 3 6 C 3.142 -- 2 C 1.079 1 C 1.079 10 H 0.976 + 4 1 H 0.946 -- 1 C 0.940 + 5 1 H 0.984 -- 1 C 0.973 + 6 1 H 0.991 -- 1 C 0.978 + 7 1 H 0.991 -- 2 C 0.978 + 8 1 H 0.984 -- 2 C 0.973 + 9 1 H 0.946 -- 2 C 0.940 + 10 1 H 0.999 -- 3 C 0.976 + --------------------------------------------------------------------------- + + +molecular dipole: + x y z tot (Debye) + q only: -0.095 -0.086 0.006 + full: -0.141 -0.089 0.052 0.444 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: 0.060 -0.134 0.180 0.234 -0.555 -0.240 + q+dip: 0.015 0.235 0.399 0.377 -0.497 -0.414 + full: 0.025 0.052 0.231 0.225 -0.555 -0.256 + + ------------------------------------------------- + | Frequency Printout | + ------------------------------------------------- + projected vibrational frequencies (cm-1) +eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00 +eigval : 63.60 78.48 387.35 421.10 940.62 946.86 +eigval : 956.71 1028.72 1167.73 1180.95 1343.10 1393.57 +eigval : 1405.68 1465.51 1475.29 1481.36 1484.29 2854.51 +eigval : 2860.02 2993.19 2993.57 3004.99 3009.56 3104.88 + reduced masses (amu) + 1: 9.19 2: 8.92 3: 9.23 4: 9.15 5: 9.42 6: 5.79 7: 1.20 8: 3.43 + 9: 6.62 10: 4.08 11: 8.02 12: 2.52 13: 2.96 14: 4.29 15: 6.86 16: 5.59 + 17: 6.97 18: 3.32 19: 2.84 20: 1.82 21: 1.73 22: 1.85 23: 1.48 24: 1.74 + 25: 1.75 26: 1.57 27: 1.56 28: 1.77 29: 1.76 30: 1.82 + IR intensities (amu) + 1: 0.07 2: 0.09 3: 0.08 4: 0.09 5: 0.11 6: 0.14 7: 0.00 8: 0.15 + 9: 0.13 10: 0.22 11: 0.08 12: 0.03 13: 0.04 14: 0.07 15: 0.20 16: 0.31 + 17: 0.50 18: 0.22 19: 0.06 20: 0.05 21: 0.05 22: 0.06 23: 0.04 24: 0.12 + 25: 0.28 26: 0.19 27: 0.18 28: 0.03 29: 0.27 30: 0.32 + Raman intensities (amu) + 1: 0.00 2: 0.00 3: 0.00 4: 0.00 5: 0.00 6: 0.00 7: 0.00 8: 0.00 + 9: 0.00 10: 0.00 11: 0.00 12: 0.00 13: 0.00 14: 0.00 15: 0.00 16: 0.00 + 17: 0.00 18: 0.00 19: 0.00 20: 0.00 21: 0.00 22: 0.00 23: 0.00 24: 0.00 + 25: 0.00 26: 0.00 27: 0.00 28: 0.00 29: 0.00 30: 0.00 +Molecule has the following symmetry elements: (sigma) +It seems to be the Cs point group + output can be read by thermo (or use thermo option). + writing molden fake output. + recommended (thermochemical) frequency scaling factor: 1.0 + ------------------------------------------------- + | Thermodynamic Functions | + ------------------------------------------------- + +cs symmetry found (for desy threshold: 0.10E+00) used in thermo + + ................................................... + : SETUP : + :.................................................: + : # frequencies 24 : + : # imaginary freq. 0 : + : linear? false : + : only rotor calc. false : + : symmetry cs : + : rotational number 1 : + : scaling factor 1.0000000 : + : rotor cutoff 50.0000000 cm⁻¹ : + : imag. cutoff -20.0000000 cm⁻¹ : + :.................................................: + + mode ω/cm⁻¹ T·S(HO)/kcal·mol⁻¹ T·S(FR)/kcal·mol⁻¹ T·S(vib) + ------------------------------------------------------------------------ + 1 63.60 -1.29469 ( 72.35%) -0.98363 ( 27.65%) -1.20869 + 2 78.48 -1.17128 ( 85.86%) -0.92163 ( 14.14%) -1.13597 + ------------------------------------------------------------------------ + + temp. (K) partition function enthalpy heat capacity entropy + cal/mol cal/K/mol cal/K/mol J/K/mol + 298.15 VIB 17.2 1534.753 9.629 10.395 + ROT 0.176E+05 888.752 2.981 22.409 + INT 0.303E+06 2423.506 12.610 32.805 + TR 0.274E+27 1481.254 4.968 37.192 + TOT 3904.7597 17.5778 69.9961 292.8635 + + T/K H(0)-H(T)+PV H(T)/Eh T*S/Eh G(T)/Eh + ------------------------------------------------------------------------ + 298.15 0.622263E-02 0.928878E-01 0.332574E-01 0.596304E-01 + ------------------------------------------------------------------------ + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: THERMODYNAMIC :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total free energy -9.848315378832 Eh :: + ::.................................................:: + :: total energy -9.907945789911 Eh :: + :: zero point energy 0.086665171024 Eh :: + :: G(RRHO) w/o ZPVE -0.027034759946 Eh :: + :: G(RRHO) contrib. 0.059630411079 Eh :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | TOTAL ENERGY -9.907945789911 Eh | + | TOTAL ENTHALPY -9.815057988157 Eh | + | TOTAL FREE ENERGY -9.848315378832 Eh | + | GRADIENT NORM 0.000167778724 Eh/α | + | HOMO-LUMO GAP 11.020709553837 eV | + ------------------------------------------------- + +------------------------------------------------------------------------ + * finished run on 2026/04/05 at 21:13:14.519 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 0.022 sec + * cpu-time: 0 d, 0 h, 0 min, 0.125 sec + * ratio c/w: 5.689 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 0.001 sec + * cpu-time: 0 d, 0 h, 0 min, 0.005 sec + * ratio c/w: 3.550 speedup + numerical hessian: + * wall-time: 0 d, 0 h, 0 min, 0.015 sec + * cpu-time: 0 d, 0 h, 0 min, 0.107 sec + * ratio c/w: 7.094 speedup + diff --git a/arkane/data/xTB/output.out b/arkane/data/xTB/output.out new file mode 100644 index 00000000000..c2555503ff0 --- /dev/null +++ b/arkane/data/xTB/output.out @@ -0,0 +1,525 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.3.3 (71d3805) compiled by 'conda@b85dec0bf610' on 2021-01-07 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN1-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + with help from (in alphabetical order) + C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski, + S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek, + P. Pracht, P. Shushkov, and S. Spicher. + + * started run on 2026/04/05 at 21:13:11.373 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : /home/alon/anaconda3/envs/xtb_env/bin/xtb mol.sdf --opt tight --gfn2 --parallel --uhf 1 --chrg 0 + coordinate file : mol.sdf + omp threads : 28 + number of atoms : 10 + number of electrons : 19 + charge : 0 + spin : 0.5 + first test random number : 0.49640547205832 + + ID Z sym. atoms + 1 6 C 1-3 + 2 1 H 4-10 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 19 : + : # atomic orbitals 19 : + : # shells 13 : + : # electrons 19 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.0416711 -0.100417E+02 0.261E+00 10.94 0.0 T + 2 -10.0633074 -0.216363E-01 0.128E+00 11.04 1.0 T + 3 -10.0636420 -0.334646E-03 0.626E-01 11.05 1.0 T + 4 -10.0637056 -0.635153E-04 0.802E-02 11.02 1.0 T + 5 -10.0637056 -0.179674E-07 0.178E-02 11.02 1.8 T + 6 -10.0637060 -0.424862E-06 0.287E-03 11.02 11.0 T + 7 -10.0637060 -0.813378E-08 0.880E-04 11.02 36.0 T + 8 -10.0637060 -0.139483E-08 0.213E-04 11.02 148.8 T + + *** convergence criteria satisfied after 8 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6061683 -16.4947 + ... ... ... ... + 4 2.0000 -0.4986683 -13.5695 + 5 2.0000 -0.4853163 -13.2061 + 6 2.0000 -0.4739663 -12.8973 + 7 2.0000 -0.4615788 -12.5602 + 8 2.0000 -0.4406775 -11.9914 + 9 2.0000 -0.4305099 -11.7148 + 10 1.0000 -0.2854557 -7.7676 (HOMO) + 11 0.1195484 3.2531 (LUMO) + 12 0.1500368 4.0827 + 13 0.1796854 4.8895 + 14 0.1856294 5.0512 + 15 0.1978893 5.3848 + ... ... ... + 19 0.3654091 9.9433 + ------------------------------------------------------------- + HL-Gap 0.4050041 Eh 11.0207 eV + Fermi-level -0.2204682 Eh -5.9992 eV + + SCC (total) 0 d, 0 h, 0 min, 0.001 sec + SCC setup ... 0 min, 0.000 sec ( 3.932%) + Dispersion ... 0 min, 0.000 sec ( 3.355%) + classical contributions ... 0 min, 0.000 sec ( 1.553%) + integral evaluation ... 0 min, 0.000 sec ( 17.193%) + iterations ... 0 min, 0.001 sec ( 38.483%) + molecular gradient ... 0 min, 0.000 sec ( 32.733%) + printout ... 0 min, 0.000 sec ( 2.267%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -9.907945789900 Eh :: + :: gradient norm 0.000167508372 Eh/a0 :: + :: HOMO-LUMO gap 11.020722679226 eV :: + ::.................................................:: + :: SCC energy -10.063706015090 Eh :: + :: -> isotropic ES 0.002969205741 Eh :: + :: -> anisotropic ES 0.003814162232 Eh :: + :: -> anisotropic XC 0.007249074358 Eh :: + :: -> dispersion -0.003488521930 Eh :: + :: repulsion energy 0.155759193674 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge 0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ----------------------------------------------------------- + | ===================== | + | A N C O P T | + | ===================== | + | Approximate Normal Coordinate | + | Rational Function Optimizer | + ----------------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : optimization level tight : + : max. optcycles 200 : + : ANC micro-cycles 20 : + : degrees of freedom 24 : + :.................................................: + : RF solver davidson : + : write xtbopt.log true : + : linear? false : + : energy convergence 0.1000000E-05 Eh : + : grad. convergence 0.8000000E-03 Eh/α : + : maximium RF displ. 1.0000000 : + : Hlow (freq-cutoff) 0.1000000E-01 : + : Hmax (freq-cutoff) 5.0000000 : + : S6 in model hess. 20.0000000 : + ................................................... + +generating ANC from model Hessian ... +Using Lindh-Hessian (1995) + Shifting diagonal of input Hessian by 2.3540512790611329E-003 + Lowest eigenvalues of input Hessian + 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 + 0.010000 0.012932 0.020193 0.036542 0.064021 0.064540 + 0.067460 0.076667 0.112683 0.118968 0.123604 0.125717 + Highest eigenvalues + 1.066348 1.078735 1.114279 1.122396 1.332034 1.453783 + + +........................................................................ +.............................. CYCLE 1 .............................. +........................................................................ + 1 -10.0637060 -0.100637E+02 0.257E-05 11.02 0.0 T + 2 -10.0637060 -0.211209E-11 0.119E-05 11.02 2658.6 T + 3 -10.0637060 -0.284217E-13 0.540E-06 11.02 5857.7 T + SCC iter. ... 0 min, 0.000 sec + gradient ... 0 min, 0.000 sec + * total energy : -9.9079458 Eh change -0.1044143E-10 Eh + gradient norm : 0.0001678 Eh/α predicted 0.0000000E+00 (-100.00%) + displ. norm : 0.0014254 α lambda -0.4426483E-07 + maximum displ.: 0.0013651 α in ANC's #2, #16, #11, ... + + *** GEOMETRY OPTIMIZATION CONVERGED AFTER 1 ITERATIONS *** + +------------------------------------------------------------------------ + total energy gain : -0.0000000 Eh -0.0000 kcal/mol + total RMSD : 0.0000000 a0 0.0000 Å + total power (kW/mol): -0.0000000 (step) -0.0000 (real) +------------------------------------------------------------------------ + + ANCopt (total) 0 d, 0 h, 0 min, 0.002 sec + optimizer setup ... 0 min, 0.000 sec ( 1.192%) + model hessian ... 0 min, 0.000 sec ( 24.216%) + ANC generation ... 0 min, 0.000 sec ( 3.716%) + coordinate transformation ... 0 min, 0.000 sec ( 0.080%) + single point calculation ... 0 min, 0.001 sec ( 63.861%) + optimization log ... 0 min, 0.000 sec ( 1.172%) + hessian update ... 0 min, 0.000 sec ( 0.030%) + rational function ... 0 min, 0.000 sec ( 2.525%) + +================ + final structure: +================ + + xtb 04052621133D +xtb: 6.3.3 (71d3805) + 10 9 0 0 0 999 V2000 + -1.2948 0.0509 -0.1043 C 0 0 0 0 0 0 0 0 0 0 0 0 + 0.2116 -1.5150 1.2916 C 0 0 0 0 0 0 0 0 0 0 0 0 + -0.0825 -0.1905 0.7057 C 0 0 0 0 0 3 0 0 0 0 0 0 + -2.1457 0.3557 0.5210 H 0 0 0 0 0 0 0 0 0 0 0 0 + -1.1316 0.8533 -0.8243 H 0 0 0 0 0 0 0 0 0 0 0 0 + -1.5938 -0.8508 -0.6375 H 0 0 0 0 0 0 0 0 0 0 0 0 + -0.1856 -2.3148 0.6674 H 0 0 0 0 0 0 0 0 0 0 0 0 + 1.2852 -1.6592 1.4153 H 0 0 0 0 0 0 0 0 0 0 0 0 + -0.2390 -1.6264 2.2879 H 0 0 0 0 0 0 0 0 0 0 0 0 + 0.4901 0.6581 1.0398 H 0 0 0 0 0 0 0 0 0 0 0 0 + 1 3 1 0 0 0 0 + 1 4 1 0 0 0 0 + 1 5 1 0 0 0 0 + 1 6 1 0 0 0 0 + 2 3 1 0 0 0 0 + 2 7 1 0 0 0 0 + 2 8 1 0 0 0 0 + 2 9 1 0 0 0 0 + 3 10 1 0 0 0 0 +M END +$$$$ + + Bond Distances (Angstroems) + --------------------------- +C1-C3=1.4779 C1-H4=1.0991 C1-H5=1.0904 C1-H6=1.0894 C2-C3=1.4779 C2-H7=1.0895 +C2-H8=1.0903 C2-H9=1.0991 C3-C1=1.4779 C3-C2=1.4779 C3-H10=1.0769 H4-C1=1.0991 +H5-C1=1.0904 H6-C1=1.0894 H7-C2=1.0895 H8-C2=1.0903 H9-C2=1.0991 H10-C3=1.0769 + C H Rav=1.0907 sigma=0.0069 Rmin=1.0769 Rmax=1.0991 7 + C C Rav=1.4779 sigma=0.0000 Rmin=1.4779 Rmax=1.4779 2 + + selected bond angles (degree) + -------------------- +H4-C1-C3=111.63 H5-C1-C3=111.06 H5-C1-H4=106.71 H6-C1-C3=110.99 +H6-C1-H4=107.19 H6-C1-H5=109.09 H7-C2-C3=110.99 H8-C2-C3=111.07 +H8-C2-H7=109.08 H9-C2-C3=111.63 H9-C2-H7=107.18 H9-C2-H8=106.70 +C2-C3-C1=121.80 H10-C3-C1=118.52 H10-C3-C2=118.52 + + selected dihedral angles (degree) + --------------------------------- +C2-C3-C1-H4= 88.76 C2-C3-C1-H5=207.71 C2-C3-C1-H6=329.24 H10-C3-C1-H4=281.25 +H10-C3-C1-H5= 40.20 H10-C3-C1-H6=161.74 C1-C3-C2-H7= 30.75 C1-C3-C2-H8=152.29 +C1-C3-C2-H9=271.24 H10-C3-C2-H7=198.26 H10-C3-C2-H8=319.79 H10-C3-C2-H9= 78.75 + ------------------------------------------------- + | Final Singlepoint | + ------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : # basis functions 19 : + : # atomic orbitals 19 : + : # shells 13 : + : # electrons 19 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.0637060 -0.100637E+02 0.969E-07 11.02 0.0 T + 2 -10.0637060 0.355271E-14 0.589E-07 11.02 53664.1 T + 3 -10.0637060 0.177636E-14 0.271E-07 11.02 100000.0 T + + *** convergence criteria satisfied after 3 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6061685 -16.4947 + ... ... ... ... + 4 2.0000 -0.4986683 -13.5695 + 5 2.0000 -0.4853160 -13.2061 + 6 2.0000 -0.4739665 -12.8973 + 7 2.0000 -0.4615787 -12.5602 + 8 2.0000 -0.4406775 -11.9914 + 9 2.0000 -0.4305100 -11.7148 + 10 1.0000 -0.2854551 -7.7676 (HOMO) + 11 0.1195485 3.2531 (LUMO) + 12 0.1500364 4.0827 + 13 0.1796854 4.8895 + 14 0.1856298 5.0512 + 15 0.1978891 5.3848 + ... ... ... + 19 0.3654094 9.9433 + ------------------------------------------------------------- + HL-Gap 0.4050036 Eh 11.0207 eV + Fermi-level -0.2204679 Eh -5.9992 eV + + SCC (total) 0 d, 0 h, 0 min, 0.001 sec + SCC setup ... 0 min, 0.000 sec ( 3.904%) + Dispersion ... 0 min, 0.000 sec ( 3.670%) + classical contributions ... 0 min, 0.000 sec ( 2.216%) + integral evaluation ... 0 min, 0.000 sec ( 20.357%) + iterations ... 0 min, 0.000 sec ( 22.730%) + molecular gradient ... 0 min, 0.000 sec ( 43.201%) + printout ... 0 min, 0.000 sec ( 3.306%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -9.907945789911 Eh :: + :: gradient norm 0.000167776370 Eh/a0 :: + :: HOMO-LUMO gap 11.020710061302 eV :: + ::.................................................:: + :: SCC energy -10.063706015100 Eh :: + :: -> isotropic ES 0.002969138307 Eh :: + :: -> anisotropic ES 0.003814175600 Eh :: + :: -> anisotropic XC 0.007249059940 Eh :: + :: -> dispersion -0.003488523956 Eh :: + :: repulsion energy 0.155759193674 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6061685 -16.4947 + 2 2.0000 -0.5856626 -15.9367 + 3 2.0000 -0.5406394 -14.7115 + 4 2.0000 -0.4986683 -13.5695 + 5 2.0000 -0.4853160 -13.2061 + 6 2.0000 -0.4739665 -12.8973 + 7 2.0000 -0.4615787 -12.5602 + 8 2.0000 -0.4406775 -11.9914 + 9 2.0000 -0.4305100 -11.7148 + 10 1.0000 -0.2854551 -7.7676 (HOMO) + 11 0.1195485 3.2531 (LUMO) + 12 0.1500364 4.0827 + 13 0.1796854 4.8895 + 14 0.1856298 5.0512 + 15 0.1978891 5.3848 + 16 0.2104543 5.7268 + 17 0.2219295 6.0390 + 18 0.3220796 8.7642 + 19 0.3654094 9.9433 + ------------------------------------------------------------- + HL-Gap 0.4050036 Eh 11.0207 eV + Fermi-level -0.2204679 Eh -5.9992 eV + + # Z covCN q C6AA α(0) + 1 6 C 3.752 -0.096 22.389 6.748 + 2 6 C 3.751 -0.096 22.389 6.748 + 3 6 C 2.882 -0.072 29.797 8.949 + 4 1 H 0.923 0.044 2.396 2.421 + 5 1 H 0.924 0.039 2.463 2.454 + 6 1 H 0.925 0.039 2.457 2.451 + 7 1 H 0.925 0.039 2.458 2.452 + 8 1 H 0.924 0.039 2.462 2.454 + 9 1 H 0.923 0.044 2.396 2.421 + 10 1 H 0.926 0.019 2.751 2.594 + + Mol. C6AA /au·bohr⁶ : 671.387423 + Mol. C8AA /au·bohr⁸ : 14020.731625 + Mol. α(0) /au : 39.690034 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 6 C 3.988 -- 3 C 1.079 6 H 0.978 5 H 0.973 + 4 H 0.940 + 2 6 C 3.988 -- 3 C 1.079 7 H 0.978 8 H 0.973 + 9 H 0.940 + 3 6 C 3.142 -- 2 C 1.079 1 C 1.079 10 H 0.976 + 4 1 H 0.946 -- 1 C 0.940 + 5 1 H 0.984 -- 1 C 0.973 + 6 1 H 0.991 -- 1 C 0.978 + 7 1 H 0.991 -- 2 C 0.978 + 8 1 H 0.984 -- 2 C 0.973 + 9 1 H 0.946 -- 2 C 0.940 + 10 1 H 0.999 -- 3 C 0.976 + --------------------------------------------------------------------------- + + +molecular dipole: + x y z tot (Debye) + q only: -0.095 -0.086 0.006 + full: -0.141 -0.089 0.052 0.444 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: 0.060 -0.134 0.180 0.234 -0.555 -0.240 + q+dip: 0.015 0.235 0.399 0.377 -0.497 -0.414 + full: 0.025 0.052 0.231 0.225 -0.555 -0.256 + + ------------------------------------------------- + | Geometry Summary | + ------------------------------------------------- + + molecular mass/u : 43.0877930 + center of mass at/Å : -0.4072910 -0.5684548 0.6322305 + moments of inertia/u·Å² : 0.1317621E+02 0.6015876E+02 0.6707902E+02 +rotational constants/cm⁻¹ : 0.1279399E+01 0.2802191E+00 0.2513100E+00 + + * 9 selected distances + + # Z # Z value/Å + 1 6 C 3 6 C 1.4778516 + 2 6 C 3 6 C 1.4778612 (max) + 1 6 C 4 1 H 1.0990605 + 1 6 C 5 1 H 1.0903577 + 1 6 C 6 1 H 1.0893880 + 2 6 C 7 1 H 1.0895290 + 2 6 C 8 1 H 1.0902808 + 2 6 C 9 1 H 1.0991197 + 3 6 C 10 1 H 1.0768545 (min) + + * 2 distinct bonds (by element types) + + Z Z # av. dist./Å max./Å min./Å + 1 H 6 C 7 1.0906557 1.0991197 1.0768545 + 6 C 6 C 2 1.4778564 1.4778612 1.4778516 + + +optimized geometry written to: xtbopt.sdf + + + ------------------------------------------------- + | TOTAL ENERGY -9.907945789911 Eh | + | GRADIENT NORM 0.000167776370 Eh/α | + | HOMO-LUMO GAP 11.020710061302 eV | + ------------------------------------------------- + +------------------------------------------------------------------------ + * finished run on 2026/04/05 at 21:13:11.382 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 0.009 sec + * cpu-time: 0 d, 0 h, 0 min, 0.024 sec + * ratio c/w: 2.601 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 0.001 sec + * cpu-time: 0 d, 0 h, 0 min, 0.005 sec + * ratio c/w: 3.559 speedup + ANC optimizer: + * wall-time: 0 d, 0 h, 0 min, 0.003 sec + * cpu-time: 0 d, 0 h, 0 min, 0.009 sec + * ratio c/w: 3.256 speedup + diff --git a/arkane/data/xTB/xtb_opt_1.out b/arkane/data/xTB/xtb_opt_1.out new file mode 100644 index 00000000000..d6237eeca75 --- /dev/null +++ b/arkane/data/xTB/xtb_opt_1.out @@ -0,0 +1,610 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN1-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for ALPB and GBSA implicit solvation: + * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput., + 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + for SPH calculations refer to: + * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714 + DOI: 10.1021/acs.jctc.0c01306 + + with help from (in alphabetical order) + P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher + M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer + A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller, + F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar, + J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk, + J. Stückrath, T. Rose, and J. Unsleber + + * started run on 2022/07/25 at 06:22:17.589 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : xtb input.in --opt vtight + coordinate file : input.in + omp threads : 24 + + ID Z sym. atoms + 1 6 c 1-3 + 2 8 o 4 + 3 1 h 5-8 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 20 : + : # atomic orbitals 20 : + : # shells 12 : + : # electrons 22 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -12.5907958 -0.125908E+02 0.538E+00 3.37 0.0 T + 2 -12.6188145 -0.280187E-01 0.268E+00 2.55 1.0 T + 3 -12.6192585 -0.444029E-03 0.199E+00 3.03 1.0 T + 4 -12.6250726 -0.581411E-02 0.537E-01 2.77 1.0 T + 5 -12.6268146 -0.174195E-02 0.171E-01 2.81 1.0 T + 6 -12.6269634 -0.148778E-03 0.548E-02 2.81 1.0 T + 7 -12.6269686 -0.527887E-05 0.241E-02 2.80 1.5 T + 8 -12.6269688 -0.151179E-06 0.404E-03 2.80 8.8 T + 9 -12.6269688 -0.347712E-07 0.259E-03 2.80 13.6 T + 10 -12.6269689 -0.379188E-07 0.361E-04 2.80 97.9 T + 11 -12.6269689 -0.539755E-09 0.166E-04 2.80 212.5 T + + *** convergence criteria satisfied after 11 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.7131568 -19.4060 + ... ... ... ... + 5 2.0000 -0.5434007 -14.7867 + 6 2.0000 -0.5422567 -14.7556 + 7 2.0000 -0.5353638 -14.5680 + 8 2.0000 -0.4951196 -13.4729 + 9 2.0000 -0.4772995 -12.9880 + 10 2.0000 -0.4486040 -12.2071 + 11 2.0000 -0.4083156 -11.1108 (HOMO) + 12 -0.3053152 -8.3080 (LUMO) + 13 -0.1944273 -5.2906 + 14 0.0741552 2.0179 + 15 0.1201398 3.2692 + 16 0.1383174 3.7638 + ... ... ... + 20 0.6182951 16.8247 + ------------------------------------------------------------- + HL-Gap 0.1030004 Eh 2.8028 eV + Fermi-level -0.3568154 Eh -9.7094 eV + + SCC (total) 0 d, 0 h, 0 min, 0.497 sec + SCC setup ... 0 min, 0.007 sec ( 1.327%) + Dispersion ... 0 min, 0.020 sec ( 3.928%) + classical contributions ... 0 min, 0.009 sec ( 1.851%) + integral evaluation ... 0 min, 0.029 sec ( 5.846%) + iterations ... 0 min, 0.339 sec ( 68.271%) + molecular gradient ... 0 min, 0.093 sec ( 18.730%) + printout ... 0 min, 0.000 sec ( 0.043%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -12.460800594006 Eh :: + :: gradient norm 0.049225784306 Eh/a0 :: + :: HOMO-LUMO gap 2.802782657527 eV :: + ::.................................................:: + :: SCC energy -12.626968863833 Eh :: + :: -> isotropic ES 0.022798934510 Eh :: + :: -> anisotropic ES 0.000527167465 Eh :: + :: -> anisotropic XC 0.007727951902 Eh :: + :: -> dispersion -0.003176771789 Eh :: + :: repulsion energy 0.166167967131 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ----------------------------------------------------------- + | ===================== | + | A N C O P T | + | ===================== | + | Approximate Normal Coordinate | + | Rational Function Optimizer | + ----------------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : optimization level verytight : + : max. optcycles 200 : + : ANC micro-cycles 20 : + : degrees of freedom 18 : + :.................................................: + : RF solver davidson : + : write xtbopt.log true : + : linear? false : + : energy convergence 0.1000000E-06 Eh : + : grad. convergence 0.2000000E-03 Eh/α : + : maximium RF displ. 1.0000000 : + : Hlow (freq-cutoff) 0.1000000E-01 : + : Hmax (freq-cutoff) 5.0000000 : + : S6 in model hess. 20.0000000 : + ................................................... + +generating ANC from model Hessian ... +Using Lindh-Hessian (1995) + Shifting diagonal of input Hessian by 7.5988932457269481E-004 + Lowest eigenvalues of input Hessian + 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 + 0.010000 0.015374 0.027151 0.034216 0.061470 0.095310 + 0.116244 0.120151 0.122578 0.204959 0.275560 0.373010 + Highest eigenvalues + 0.691328 0.882781 1.216378 1.553964 1.815825 2.150343 + + +........................................................................ +.............................. CYCLE 1 .............................. +........................................................................ + 1 -12.6269689 -0.126270E+02 0.166E-05 2.80 0.0 T + 2 -12.6269689 -0.866862E-12 0.100E-05 2.80 3529.0 T + 3 -12.6269689 -0.481393E-12 0.392E-06 2.80 9012.5 T + SCC iter. ... 0 min, 0.097 sec + gradient ... 0 min, 0.075 sec + * total energy : -12.4608006 Eh change -0.1592024E-09 Eh + gradient norm : 0.0492276 Eh/α predicted 0.0000000E+00 (-100.00%) + displ. norm : 0.0681358 α lambda -0.2083977E-02 + maximum displ.: 0.0428669 α in ANC's #12, #10, #7, ... + +........................................................................ +.............................. CYCLE 2 .............................. +........................................................................ + 1 -12.6386519 -0.126387E+02 0.168E-01 2.83 0.0 T + 2 -12.6386762 -0.243236E-04 0.967E-02 2.84 1.0 T + 3 -12.6386751 0.112803E-05 0.340E-02 2.84 1.0 T + 4 -12.6386757 -0.622004E-06 0.173E-02 2.84 2.0 T + 5 -12.6386777 -0.198798E-05 0.428E-03 2.84 8.3 T + 6 -12.6386778 -0.545412E-07 0.143E-03 2.84 24.7 T + 7 -12.6386778 -0.687682E-08 0.596E-04 2.84 59.3 T + 8 -12.6386778 -0.184372E-09 0.106E-04 2.84 335.0 T + SCC iter. ... 0 min, 0.244 sec + gradient ... 0 min, 0.089 sec + * total energy : -12.4621329 Eh change -0.1332321E-02 Eh + gradient norm : 0.0160161 Eh/α predicted -0.1046825E-02 ( -21.43%) + displ. norm : 0.0426717 α lambda -0.3126434E-03 + maximum displ.: 0.0297874 α in ANC's #3, #7, #10, ... + +........................................................................ +.............................. CYCLE 3 .............................. +........................................................................ + 1 -12.6413473 -0.126413E+02 0.919E-02 2.84 0.0 T + 2 -12.6413511 -0.379125E-05 0.534E-02 2.85 1.0 T + 3 -12.6413511 -0.144316E-07 0.122E-02 2.84 2.9 T + 4 -12.6413512 -0.707960E-07 0.590E-03 2.84 6.0 T + 5 -12.6413514 -0.174490E-06 0.214E-03 2.84 16.5 T + 6 -12.6413514 -0.198041E-07 0.456E-04 2.84 77.5 T + 7 -12.6413514 -0.126256E-09 0.240E-04 2.84 147.2 T + SCC iter. ... 0 min, 0.227 sec + gradient ... 0 min, 0.089 sec + * total energy : -12.4623098 Eh change -0.1768535E-03 Eh + gradient norm : 0.0030405 Eh/α predicted -0.1566056E-03 ( -11.45%) + displ. norm : 0.0223827 α lambda -0.2441481E-04 + maximum displ.: 0.0206479 α in ANC's #3, #8, #6, ... + +........................................................................ +.............................. CYCLE 4 .............................. +........................................................................ + 1 -12.6409333 -0.126409E+02 0.192E-02 2.84 0.0 T + 2 -12.6409334 -0.543306E-07 0.114E-02 2.84 3.1 T + 3 -12.6409332 0.131372E-06 0.481E-03 2.84 7.4 T + 4 -12.6409334 -0.155889E-06 0.115E-03 2.84 30.7 T + 5 -12.6409334 -0.275147E-08 0.225E-04 2.84 157.3 T + 6 -12.6409334 -0.573408E-11 0.791E-05 2.84 447.2 T + SCC iter. ... 0 min, 0.185 sec + gradient ... 0 min, 0.080 sec + * total energy : -12.4623254 Eh change -0.1567032E-04 Eh + gradient norm : 0.0009347 Eh/α predicted -0.1221273E-04 ( -22.06%) + displ. norm : 0.0204727 α lambda -0.4591387E-05 + maximum displ.: 0.0196940 α in ANC's #3, #8, #6, ... + +........................................................................ +.............................. CYCLE 5 .............................. +........................................................................ + 1 -12.6404761 -0.126405E+02 0.116E-02 2.84 0.0 T + 2 -12.6404762 -0.276402E-07 0.687E-03 2.84 5.1 T + 3 -12.6404762 0.173422E-08 0.136E-03 2.84 26.0 T + 4 -12.6404762 -0.536354E-08 0.586E-04 2.84 60.3 T + 5 -12.6404762 -0.942974E-09 0.278E-04 2.84 127.3 T + SCC iter. ... 0 min, 0.152 sec + gradient ... 0 min, 0.079 sec + * total energy : -12.4623278 Eh change -0.2334995E-05 Eh + gradient norm : 0.0006904 Eh/α predicted -0.2295773E-05 ( -1.68%) + displ. norm : 0.0034964 α lambda -0.5910528E-06 + maximum displ.: 0.0030268 α in ANC's #3, #8, #12, ... + +........................................................................ +.............................. CYCLE 6 .............................. +........................................................................ + 1 -12.6406433 -0.126406E+02 0.349E-03 2.84 0.0 T + 2 -12.6406433 -0.286860E-08 0.210E-03 2.84 16.8 T + 3 -12.6406433 0.733069E-08 0.115E-03 2.84 30.7 T + 4 -12.6406433 -0.880051E-08 0.240E-04 2.84 147.2 T + 5 -12.6406433 -0.121268E-09 0.680E-05 2.84 520.2 T + SCC iter. ... 0 min, 0.146 sec + gradient ... 0 min, 0.085 sec + * total energy : -12.4623282 Eh change -0.4543308E-06 Eh + gradient norm : 0.0000695 Eh/α predicted -0.2944292E-06 ( -35.19%) + displ. norm : 0.0006683 α lambda -0.1341700E-07 + maximum displ.: 0.0006020 α in ANC's #3, #7, #10, ... + +........................................................................ +.............................. CYCLE 7 .............................. +........................................................................ + 1 -12.6406617 -0.126407E+02 0.640E-04 2.84 0.0 T + 2 -12.6406617 -0.350422E-10 0.382E-04 2.84 92.6 T + 3 -12.6406617 0.134213E-09 0.145E-04 2.84 243.8 T + SCC iter. ... 0 min, 0.086 sec + gradient ... 0 min, 0.072 sec + * total energy : -12.4623282 Eh change -0.7892329E-08 Eh + gradient norm : 0.0000280 Eh/α predicted -0.5663934E-08 ( -28.23%) + displ. norm : 0.0006019 α lambda -0.4580349E-08 + maximum displ.: 0.0003958 α in ANC's #3, #1, #5, ... + + *** GEOMETRY OPTIMIZATION CONVERGED AFTER 7 ITERATIONS *** + +------------------------------------------------------------------------ + total energy gain : -0.0015276 Eh -0.9586 kcal/mol + total RMSD : 0.0466515 a0 0.0247 Å + total power (kW/mol): -0.5729750 (step) -2.1392 (real) +------------------------------------------------------------------------ + + ANCopt (total) 0 d, 0 h, 0 min, 1.875 sec + optimizer setup ... 0 min, 0.000 sec ( 0.004%) + model hessian ... 0 min, 0.005 sec ( 0.244%) + ANC generation ... 0 min, 0.000 sec ( 0.018%) + coordinate transformation ... 0 min, 0.000 sec ( 0.002%) + single point calculation ... 0 min, 1.852 sec ( 98.767%) + optimization log ... 0 min, 0.005 sec ( 0.263%) + hessian update ... 0 min, 0.012 sec ( 0.663%) + rational function ... 0 min, 0.000 sec ( 0.024%) + +================ + final structure: +================ +$coord + -2.19083616836090E+00 -8.75055545944093E-02 -7.12358508847116E-01 c + -1.70663821576948E-01 -7.21009080780027E-01 6.33951435929200E-01 c + 2.27150340995404E+00 5.39200343733434E-01 3.05747355748416E-01 c + 4.16185183882216E+00 4.56870795397582E-02 1.46958543963615E+00 o + -2.10906550336131E+00 1.39281538085596E+00 -2.11159862590894E+00 h + -3.98822887666127E+00 -1.01150815322938E+00 -4.74092464462499E-01 h + -2.30883305078883E-01 -2.20128348308961E+00 2.04098984698359E+00 h + 2.25632242626311E+00 2.04360346756428E+00 -1.15222446018155E+00 h +$eht charge=0 unpaired=0 +$periodic 0 +$end + + Bond Distances (Angstroems) + --------------------------- +C1-C2=1.3277 C1-H5=1.0788 C1-H6=1.0769 C2-C1=1.3277 C2-C3=1.4646 C2-H7=1.0812 +C3-C2=1.4646 C3-O4=1.2034 C3-H8=1.1086 O4-C3=1.2034 H5-C1=1.0788 H6-C1=1.0769 +H7-C2=1.0812 H8-C3=1.1086 + C H Rav=1.0864 sigma=0.0129 Rmin=1.0769 Rmax=1.1086 4 + C C Rav=1.3961 sigma=0.0684 Rmin=1.3277 Rmax=1.4646 2 + O C Rav=1.2034 sigma=0.0000 Rmin=1.2034 Rmax=1.2034 1 + + selected bond angles (degree) + -------------------- +H5-C1-C2=121.29 H6-C1-C2=122.26 H6-C1-H5=116.46 C3-C2-C1=122.13 +H7-C2-C1=121.92 H7-C2-C3=115.95 O4-C3-C2=125.03 H8-C3-C2=113.77 +H8-C3-O4=121.20 + + selected dihedral angles (degree) + --------------------------------- +C3-C2-C1-H5= 0.00 C3-C2-C1-H6=180.00 H7-C2-C1-H5=180.00 H7-C2-C1-H6= 0.00 +O4-C3-C2-C1=180.00 O4-C3-C2-H7= 0.00 H8-C3-C2-C1= 0.00 H8-C3-C2-H7=180.00 + ------------------------------------------------- + | Final Singlepoint | + ------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : # basis functions 20 : + : # atomic orbitals 20 : + : # shells 12 : + : # electrons 22 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -12.6406617 -0.126407E+02 0.236E-05 2.84 0.0 T + 2 -12.6406617 -0.268230E-12 0.173E-05 2.84 2046.9 T + 3 -12.6406617 -0.164846E-11 0.789E-06 2.84 4481.0 T + + *** convergence criteria satisfied after 3 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.7184412 -19.5498 + ... ... ... ... + 5 2.0000 -0.5461831 -14.8624 + 6 2.0000 -0.5438191 -14.7981 + 7 2.0000 -0.5413599 -14.7312 + 8 2.0000 -0.4966851 -13.5155 + 9 2.0000 -0.4767594 -12.9733 + 10 2.0000 -0.4509688 -12.2715 + 11 2.0000 -0.4071929 -11.0803 (HOMO) + 12 -0.3027498 -8.2382 (LUMO) + 13 -0.1874306 -5.1002 + 14 0.0852857 2.3207 + 15 0.1253890 3.4120 + 16 0.1526653 4.1542 + ... ... ... + 20 0.6705004 18.2452 + ------------------------------------------------------------- + HL-Gap 0.1044431 Eh 2.8420 eV + Fermi-level -0.3549713 Eh -9.6593 eV + + SCC (total) 0 d, 0 h, 0 min, 0.181 sec + SCC setup ... 0 min, 0.000 sec ( 0.027%) + Dispersion ... 0 min, 0.000 sec ( 0.024%) + classical contributions ... 0 min, 0.000 sec ( 0.011%) + integral evaluation ... 0 min, 0.000 sec ( 0.094%) + iterations ... 0 min, 0.091 sec ( 50.144%) + molecular gradient ... 0 min, 0.090 sec ( 49.570%) + printout ... 0 min, 0.000 sec ( 0.120%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -12.462328236846 Eh :: + :: gradient norm 0.000028105045 Eh/a0 :: + :: HOMO-LUMO gap 2.842040266862 eV :: + ::.................................................:: + :: SCC energy -12.640661718123 Eh :: + :: -> isotropic ES 0.021865290434 Eh :: + :: -> anisotropic ES 0.000684189274 Eh :: + :: -> anisotropic XC 0.007134499414 Eh :: + :: -> dispersion -0.003195397865 Eh :: + :: repulsion energy 0.178333216781 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.7184412 -19.5498 + 2 2.0000 -0.6579346 -17.9033 + 3 2.0000 -0.6163375 -16.7714 + 4 2.0000 -0.5907356 -16.0747 + 5 2.0000 -0.5461831 -14.8624 + 6 2.0000 -0.5438191 -14.7981 + 7 2.0000 -0.5413599 -14.7312 + 8 2.0000 -0.4966851 -13.5155 + 9 2.0000 -0.4767594 -12.9733 + 10 2.0000 -0.4509688 -12.2715 + 11 2.0000 -0.4071929 -11.0803 (HOMO) + 12 -0.3027498 -8.2382 (LUMO) + 13 -0.1874306 -5.1002 + 14 0.0852857 2.3207 + 15 0.1253890 3.4120 + 16 0.1526653 4.1542 + 17 0.2277756 6.1981 + 18 0.3864171 10.5149 + 19 0.5019278 13.6582 + 20 0.6705004 18.2452 + ------------------------------------------------------------- + HL-Gap 0.1044431 Eh 2.8420 eV + Fermi-level -0.3549713 Eh -9.6593 eV + + # Z covCN q C6AA α(0) + 1 6 c 2.841 -0.062 29.538 8.907 + 2 6 c 2.886 -0.047 29.153 8.852 + 3 6 c 2.765 0.212 23.512 7.941 + 4 8 o 0.856 -0.322 20.178 6.023 + 5 1 h 0.926 0.062 2.175 2.306 + 6 1 h 0.926 0.065 2.137 2.286 + 7 1 h 0.926 0.072 2.062 2.245 + 8 1 h 0.922 0.019 2.753 2.595 + + Mol. C6AA /au·bohr⁶ : 683.380955 + Mol. C8AA /au·bohr⁸ : 15676.006174 + Mol. α(0) /au : 41.154406 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 6 c 3.983 -- 2 c 1.902 6 h 0.976 5 h 0.972 + 4 o 0.103 + 2 6 c 3.988 -- 1 c 1.902 3 c 1.067 7 h 0.961 + 3 6 c 3.925 -- 4 o 1.882 2 c 1.067 8 h 0.929 + 4 8 o 2.089 -- 3 c 1.882 1 c 0.103 + 5 1 h 0.996 -- 1 c 0.972 + 6 1 h 0.996 -- 1 c 0.976 + 7 1 h 0.995 -- 2 c 0.961 + 8 1 h 1.000 -- 3 c 0.929 + --------------------------------------------------------------------------- + +Topologies differ in total number of bonds +Writing topology from bond orders to xtbtopo.mol + +molecular dipole: + x y z tot (Debye) + q only: -1.079 0.038 -0.429 + full: -1.243 0.100 -0.549 3.463 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: -3.634 0.578 2.387 -2.393 -0.733 1.247 + q+dip: -4.530 1.216 3.107 -2.925 -2.284 1.423 + full: -5.187 0.809 3.411 -3.503 -0.782 1.777 + + ------------------------------------------------- + | Geometry Summary | + ------------------------------------------------- + + molecular mass/u : 56.0633756 + center of mass at/Å : 0.5795684 -0.0215046 0.2315612 + moments of inertia/u·Å² : 0.1023246E+02 0.1083647E+03 0.1185971E+03 +rotational constants/cm⁻¹ : 0.1647466E+01 0.1555639E+00 0.1421420E+00 + + * 5 selected distances + + # Z # Z value/Å + 1 6 c 2 6 c 1.3276944 (max) + 3 6 c 4 8 o 1.2033974 + 1 6 c 5 1 h 1.0787833 + 1 6 c 6 1 h 1.0768688 (min) + 2 6 c 7 1 h 1.0812059 + + * 3 distinct bonds (by element types) + + Z Z # av. dist./Å max./Å min./Å + 1 H 6 C 3 1.0789527 1.0812059 1.0768688 + 6 C 6 C 1 1.3276944 1.3276944 1.3276944 + 6 C 8 O 1 1.2033974 1.2033974 1.2033974 + + +optimized geometry written to: xtbopt.in + + + ------------------------------------------------- + | TOTAL ENERGY -12.462328236846 Eh | + | GRADIENT NORM 0.000028105045 Eh/α | + | HOMO-LUMO GAP 2.842040266862 eV | + ------------------------------------------------- + +------------------------------------------------------------------------ + * finished run on 2022/07/25 at 06:22:20.233 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 2.644 sec + * cpu-time: 0 d, 0 h, 1 min, 1.192 sec + * ratio c/w: 23.142 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 0.497 sec + * cpu-time: 0 d, 0 h, 0 min, 11.606 sec + * ratio c/w: 23.352 speedup + ANC optimizer: + * wall-time: 0 d, 0 h, 0 min, 2.057 sec + * cpu-time: 0 d, 0 h, 0 min, 47.500 sec + * ratio c/w: 23.091 speedup + diff --git a/arkane/data/xTB/xtb_opt_2.out b/arkane/data/xTB/xtb_opt_2.out new file mode 100644 index 00000000000..6441b296eea --- /dev/null +++ b/arkane/data/xTB/xtb_opt_2.out @@ -0,0 +1,581 @@ + ----------------------------------------------------------- + | ===================== | + | x T B | + | ===================== | + | S. Grimme | + | Mulliken Center for Theoretical Chemistry | + | University of Bonn | + ----------------------------------------------------------- + + * xtb version 6.3.3 (4ae9cef) compiled by 'conda@95abc7406d43' on 2020-10-14 + + xtb is free software: you can redistribute it and/or modify it under + the terms of the GNU Lesser General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + xtb is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Lesser General Public License for more details. + + Cite this work as: + * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht, + J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, + e01493. DOI: 10.1002/wcms.1493 + + for GFN2-xTB: + * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017, + 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118 + for GFN1-xTB: + * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019, + 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176 + for GFN0-xTB: + * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint. + DOI: 10.26434/chemrxiv.8326202.v1 + for GFN-FF: + * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673. + DOI: 10.1002/anie.202004239 + + for DFT-D4: + * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017, + 147, 034112. DOI: 10.1063/1.4993215 + * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher, + C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122. + DOI: 10.1063/1.5090222 + * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys. + 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A + + for sTDA-xTB: + * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103. + DOI: 10.1063/1.4959605 + + in the mass-spec context: + * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879. + DOI: 10.1039/c7sc00601b + * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133. + DOI: 10.1021/acsomega.9b02011 + + for metadynamics refer to: + * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862 + DOI: 10.1021/acs.jctc.9b00143 + + with help from (in alphabetical order) + C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski, + S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek, + P. Pracht, P. Shushkov, and S. Spicher. + + * started run on 2022/07/27 at 14:05:02.400 + + ------------------------------------------------- + | Calculation Setup | + ------------------------------------------------- + + program call : /home/alon/anaconda3/envs/arc_env/bin/xtb mol.sdf --opt tight --gfn2 --uhf 0 --chrg 0 + coordinate file : mol.sdf + omp threads : 24 + number of atoms : 11 + number of electrons : 20 + charge : 0 + spin : 0.0 + first test random number : 0.42084347216098 + + ID Z sym. atoms + 1 6 C 1-3 + 2 1 H 4-11 + + ------------------------------------------------- + | G F N 2 - x T B | + ------------------------------------------------- + + Reference 10.1021/acs.jctc.8b01176 + * Hamiltonian: + H0-scaling (s, p, d) 1.850000 2.230000 2.230000 + zeta-weighting 0.500000 + * Dispersion: + s8 2.700000 + a1 0.520000 + a2 5.000000 + s9 5.000000 + * Repulsion: + kExp 1.500000 1.000000 + rExp 1.000000 + * Coulomb: + alpha 2.000000 + third order shell-resolved + anisotropic true + a3 3.000000 + a5 4.000000 + cn-shift 1.200000 + cn-exp 4.000000 + max-rad 5.000000 + + + ................................................... + : SETUP : + :.................................................: + : # basis functions 20 : + : # atomic orbitals 20 : + : # shells 14 : + : # electrons 20 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.6257535 -0.106258E+02 0.262E+00 15.04 0.0 T + 2 -10.6592586 -0.335051E-01 0.136E+00 14.70 1.0 T + 3 -10.6595797 -0.321137E-03 0.727E-01 14.66 1.0 T + 4 -10.6596716 -0.918270E-04 0.975E-02 14.65 1.0 T + 5 -10.6596808 -0.927928E-05 0.548E-02 14.65 1.0 T + 6 -10.6596811 -0.270781E-06 0.248E-03 14.65 12.2 T + 7 -10.6596811 -0.645330E-08 0.776E-04 14.65 38.9 T + 8 -10.6596811 -0.600750E-09 0.158E-04 14.65 190.7 T + + *** convergence criteria satisfied after 8 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6141157 -16.7109 + ... ... ... ... + 4 2.0000 -0.5075529 -13.8112 + 5 2.0000 -0.4966123 -13.5135 + 6 2.0000 -0.4758975 -12.9498 + 7 2.0000 -0.4590074 -12.4902 + 8 2.0000 -0.4363473 -11.8736 + 9 2.0000 -0.4355067 -11.8507 + 10 2.0000 -0.4235531 -11.5255 (HOMO) + 11 0.1148616 3.1255 (LUMO) + 12 0.1332450 3.6258 + 13 0.1353284 3.6825 + 14 0.1550471 4.2190 + 15 0.1641699 4.4673 + ... ... ... + 20 0.2958208 8.0497 + ------------------------------------------------------------- + HL-Gap 0.5384146 Eh 14.6510 eV + Fermi-level -0.1543458 Eh -4.2000 eV + + SCC (total) 0 d, 0 h, 0 min, 0.126 sec + SCC setup ... 0 min, 0.006 sec ( 4.788%) + Dispersion ... 0 min, 0.005 sec ( 4.002%) + classical contributions ... 0 min, 0.010 sec ( 7.862%) + integral evaluation ... 0 min, 0.020 sec ( 15.738%) + iterations ... 0 min, 0.002 sec ( 1.196%) + molecular gradient ... 0 min, 0.084 sec ( 66.241%) + printout ... 0 min, 0.000 sec ( 0.158%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -10.500602584535 Eh :: + :: gradient norm 0.014504141544 Eh/a0 :: + :: HOMO-LUMO gap 14.651008068562 eV :: + ::.................................................:: + :: SCC energy -10.659681120107 Eh :: + :: -> isotropic ES 0.002421663158 Eh :: + :: -> anisotropic ES 0.004136237416 Eh :: + :: -> anisotropic XC 0.007405219779 Eh :: + :: -> dispersion -0.003960516702 Eh :: + :: repulsion energy 0.159077129515 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge -0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ----------------------------------------------------------- + | ===================== | + | A N C O P T | + | ===================== | + | Approximate Normal Coordinate | + | Rational Function Optimizer | + ----------------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : optimization level tight : + : max. optcycles 200 : + : ANC micro-cycles 20 : + : degrees of freedom 27 : + :.................................................: + : RF solver davidson : + : write xtbopt.log true : + : linear? false : + : energy convergence 0.1000000E-05 Eh : + : grad. convergence 0.8000000E-03 Eh/α : + : maximium RF displ. 1.0000000 : + : Hlow (freq-cutoff) 0.1000000E-01 : + : Hmax (freq-cutoff) 5.0000000 : + : S6 in model hess. 20.0000000 : + ................................................... + +generating ANC from model Hessian ... +Using Lindh-Hessian (1995) + Shifting diagonal of input Hessian by 1.0542808446694953E-003 + Lowest eigenvalues of input Hessian + 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 + 0.010000 0.012412 0.013676 0.039432 0.050560 0.052472 + 0.056109 0.059606 0.069906 0.078238 0.102829 0.122909 + Highest eigenvalues + 1.079294 1.090462 1.096031 1.169699 1.218667 1.266731 + + +........................................................................ +.............................. CYCLE 1 .............................. +........................................................................ + 1 -10.6596811 -0.106597E+02 0.183E-05 14.65 0.0 T + 2 -10.6596811 -0.186873E-11 0.642E-06 14.65 4697.8 T + 3 -10.6596811 -0.888178E-14 0.354E-06 14.65 8510.9 T + SCC iter. ... 0 min, 0.001 sec + gradient ... 0 min, 0.093 sec + * total energy : -10.5006026 Eh change -0.5696776E-11 Eh + gradient norm : 0.0145036 Eh/α predicted 0.0000000E+00 (-100.00%) + displ. norm : 0.0410783 α lambda -0.3613972E-03 + maximum displ.: 0.0229545 α in ANC's #7, #18, #10, ... + +........................................................................ +.............................. CYCLE 2 .............................. +........................................................................ + 1 -10.6639670 -0.106640E+02 0.792E-02 14.54 0.0 T + 2 -10.6639706 -0.360924E-05 0.461E-02 14.55 1.0 T + 3 -10.6639708 -0.119603E-06 0.835E-03 14.55 3.6 T + 4 -10.6639708 -0.367680E-08 0.167E-03 14.55 18.0 T + 5 -10.6639708 -0.461146E-09 0.202E-04 14.55 148.9 T + 6 -10.6639708 -0.530154E-10 0.967E-05 14.55 311.8 T + SCC iter. ... 0 min, 0.001 sec + gradient ... 0 min, 0.073 sec + * total energy : -10.5008063 Eh change -0.2037127E-03 Eh + gradient norm : 0.0048232 Eh/α predicted -0.1810025E-03 ( -11.15%) + displ. norm : 0.0265167 α lambda -0.4226909E-04 + maximum displ.: 0.0240501 α in ANC's #3, #7, #26, ... + +........................................................................ +.............................. CYCLE 3 .............................. +........................................................................ + 1 -10.6653153 -0.106653E+02 0.238E-02 14.60 0.0 T + 2 -10.6653157 -0.477935E-06 0.131E-02 14.61 2.3 T + 3 -10.6653157 -0.529422E-08 0.346E-03 14.61 8.7 T + 4 -10.6653157 -0.570763E-09 0.338E-04 14.61 89.3 T + 5 -10.6653157 -0.408473E-10 0.143E-04 14.61 210.6 T + SCC iter. ... 0 min, 0.001 sec + gradient ... 0 min, 0.002 sec + * total energy : -10.5008271 Eh change -0.2077954E-04 Eh + gradient norm : 0.0008332 Eh/α predicted -0.2114876E-04 ( 1.78%) + displ. norm : 0.0043735 α lambda -0.1734380E-05 + maximum displ.: 0.0023370 α in ANC's #10, #18, #16, ... + +........................................................................ +.............................. CYCLE 4 .............................. +........................................................................ + 1 -10.6650453 -0.106650E+02 0.769E-03 14.58 0.0 T + 2 -10.6650453 -0.198656E-07 0.451E-03 14.58 6.7 T + 3 -10.6650453 0.365032E-09 0.902E-04 14.58 33.4 T + 4 -10.6650453 -0.244372E-08 0.174E-04 14.58 172.8 T + SCC iter. ... 0 min, 0.001 sec + gradient ... 0 min, 0.001 sec + * total energy : -10.5008281 Eh change -0.9891214E-06 Eh + gradient norm : 0.0002078 Eh/α predicted -0.8676407E-06 ( -12.28%) + displ. norm : 0.0013168 α lambda -0.1396974E-06 + maximum displ.: 0.0009773 α in ANC's #10, #16, #3, ... + + *** GEOMETRY OPTIMIZATION CONVERGED AFTER 4 ITERATIONS *** + +------------------------------------------------------------------------ + total energy gain : -0.0002255 Eh -0.1415 kcal/mol + total RMSD : 0.0156873 a0 0.0083 Å + total power (kW/mol): -0.1480003 (step) -1.8617 (real) +------------------------------------------------------------------------ + + ANCopt (total) 0 d, 0 h, 0 min, 0.318 sec + optimizer setup ... 0 min, 0.000 sec ( 0.031%) + model hessian ... 0 min, 0.001 sec ( 0.417%) + ANC generation ... 0 min, 0.000 sec ( 0.056%) + coordinate transformation ... 0 min, 0.000 sec ( 0.005%) + single point calculation ... 0 min, 0.305 sec ( 96.010%) + optimization log ... 0 min, 0.000 sec ( 0.146%) + hessian update ... 0 min, 0.010 sec ( 3.123%) + rational function ... 0 min, 0.000 sec ( 0.069%) + +================ + final structure: +================ + + xtb 07272214053D +xtb: 6.3.3 (4ae9cef) + 11 10 0 0 0 999 V2000 + 1.2769 -0.0581 -0.1002 C 0 0 0 0 0 0 0 0 0 0 0 0 + -0.1342 -0.6020 0.0867 C 0 0 0 0 0 0 0 0 0 0 0 0 + -1.1766 0.5082 0.0354 C 0 0 0 0 0 0 0 0 0 0 0 0 + 1.3672 0.4420 -1.0623 H 0 0 0 0 0 0 0 0 0 0 0 0 + 2.0080 -0.8624 -0.0611 H 0 0 0 0 0 0 0 0 0 0 0 0 + 1.5140 0.6603 0.6818 H 0 0 0 0 0 0 0 0 0 0 0 0 + -0.1997 -1.1163 1.0482 H 0 0 0 0 0 0 0 0 0 0 0 0 + -0.3465 -1.3346 -0.6954 H 0 0 0 0 0 0 0 0 0 0 0 0 + -1.1394 1.0205 -0.9237 H 0 0 0 0 0 0 0 0 0 0 0 0 + -0.9926 1.2388 0.8204 H 0 0 0 0 0 0 0 0 0 0 0 0 + -2.1772 0.1036 0.1703 H 0 0 0 0 0 0 0 0 0 0 0 0 + 1 2 1 0 0 0 0 + 1 4 1 0 0 0 0 + 1 5 1 0 0 0 0 + 1 6 1 0 0 0 0 + 2 3 1 0 0 0 0 + 2 7 1 0 0 0 0 + 2 8 1 0 0 0 0 + 3 9 1 0 0 0 0 + 3 10 1 0 0 0 0 + 3 11 1 0 0 0 0 +M END +$$$$ + + Bond Distances (Angstroems) + --------------------------- +C1-C2=1.5238 C1-H4=1.0881 C1-H5=1.0877 C1-H6=1.0881 C2-C1=1.5238 C2-C3=1.5238 +C2-H7=1.0924 C2-H8=1.0924 C3-C2=1.5238 C3-H9=1.0881 C3-H10=1.0881 C3-H11=1.0877 +H4-C1=1.0881 H5-C1=1.0877 H6-C1=1.0881 H7-C2=1.0924 H8-C2=1.0924 H9-C3=1.0881 +H10-C3=1.0881 H11-C3=1.0877 + C H Rav=1.0890 sigma=0.0019 Rmin=1.0877 Rmax=1.0924 8 + C C Rav=1.5238 sigma=0.0000 Rmin=1.5238 Rmax=1.5238 2 + + selected bond angles (degree) + -------------------- +H4-C1-C2=110.45 H5-C1-C2=110.74 H5-C1-H4=108.42 H6-C1-C2=110.45 +H6-C1-H4=108.30 H6-C1-H5=108.42 C3-C2-C1=111.67 H7-C2-C1=109.36 +H7-C2-C3=109.36 H8-C2-C1=109.36 H8-C2-C3=109.36 H8-C2-H7=107.62 +H9-C3-C2=110.45 H10-C3-C2=110.45 H10-C3-H9=108.30 H11-C3-C2=110.74 +H11-C3-H9=108.42 H11-C3-H10=108.42 + + selected dihedral angles (degree) + --------------------------------- +C3-C2-C1-H4=300.11 C3-C2-C1-H5=180.00 C3-C2-C1-H6= 59.89 H7-C2-C1-H4=178.92 +H7-C2-C1-H5= 58.81 H7-C2-C1-H6=298.70 H8-C2-C1-H4= 61.30 H8-C2-C1-H5=301.19 +H8-C2-C1-H6=181.08 H9-C3-C2-C1= 59.89 H9-C3-C2-H7=181.08 H9-C3-C2-H8=298.70 +H10-C3-C2-C1=300.11 H10-C3-C2-H7= 61.30 H10-C3-C2-H8=178.92 H11-C3-C2-C1=180.00 +H11-C3-C2-H7=301.19 H11-C3-C2-H8= 58.81 + ------------------------------------------------- + | Final Singlepoint | + ------------------------------------------------- + + ................................................... + : SETUP : + :.................................................: + : # basis functions 20 : + : # atomic orbitals 20 : + : # shells 14 : + : # electrons 20 : + : max. iterations 250 : + : Hamiltonian GFN2-xTB : + : restarted? false : + : GBSA solvation false : + : PC potential false : + : electronic temp. 300.0000000 K : + : accuracy 1.0000000 : + : -> integral cutoff 0.2500000E+02 : + : -> integral neglect 0.1000000E-07 : + : -> SCF convergence 0.1000000E-05 Eh : + : -> wf. convergence 0.1000000E-03 e : + : Broyden damping 0.4000000 : + ................................................... + + iter E dE RMSdq gap omega full diag + 1 -10.6650453 -0.106650E+02 0.159E-05 14.58 0.0 T + 2 -10.6650453 -0.103029E-12 0.839E-06 14.58 3592.6 T + 3 -10.6650453 -0.319744E-13 0.138E-06 14.58 21857.7 T + + *** convergence criteria satisfied after 3 iterations *** + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6139733 -16.7071 + ... ... ... ... + 4 2.0000 -0.5076449 -13.8137 + 5 2.0000 -0.4966410 -13.5143 + 6 2.0000 -0.4754813 -12.9385 + 7 2.0000 -0.4592433 -12.4966 + 8 2.0000 -0.4372767 -11.8989 + 9 2.0000 -0.4351047 -11.8398 + 10 2.0000 -0.4239161 -11.5353 (HOMO) + 11 0.1118565 3.0438 (LUMO) + 12 0.1369565 3.7268 + 13 0.1421186 3.8672 + 14 0.1615191 4.3952 + 15 0.1721476 4.6844 + ... ... ... + 20 0.3019726 8.2171 + ------------------------------------------------------------- + HL-Gap 0.5357725 Eh 14.5791 eV + Fermi-level -0.1560298 Eh -4.2458 eV + + SCC (total) 0 d, 0 h, 0 min, 0.003 sec + SCC setup ... 0 min, 0.000 sec ( 3.294%) + Dispersion ... 0 min, 0.000 sec ( 2.217%) + classical contributions ... 0 min, 0.000 sec ( 8.298%) + integral evaluation ... 0 min, 0.001 sec ( 17.199%) + iterations ... 0 min, 0.001 sec ( 16.169%) + molecular gradient ... 0 min, 0.002 sec ( 48.964%) + printout ... 0 min, 0.000 sec ( 3.463%) + + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: SUMMARY :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + :: total energy -10.500828065933 Eh :: + :: gradient norm 0.000207649002 Eh/a0 :: + :: HOMO-LUMO gap 14.579112365988 eV :: + ::.................................................:: + :: SCC energy -10.665045349979 Eh :: + :: -> isotropic ES 0.002528651431 Eh :: + :: -> anisotropic ES 0.003983113400 Eh :: + :: -> anisotropic XC 0.007221858086 Eh :: + :: -> dispersion -0.003957748634 Eh :: + :: repulsion energy 0.164215907898 Eh :: + :: add. restraining 0.000000000000 Eh :: + :: total charge 0.000000000000 e :: + ::::::::::::::::::::::::::::::::::::::::::::::::::::: + + ------------------------------------------------- + | Property Printout | + ------------------------------------------------- + + * Orbital Energies and Occupations + + # Occupation Energy/Eh Energy/eV + ------------------------------------------------------------- + 1 2.0000 -0.6139733 -16.7071 + 2 2.0000 -0.5841211 -15.8947 + 3 2.0000 -0.5539146 -15.0728 + 4 2.0000 -0.5076449 -13.8137 + 5 2.0000 -0.4966410 -13.5143 + 6 2.0000 -0.4754813 -12.9385 + 7 2.0000 -0.4592433 -12.4966 + 8 2.0000 -0.4372767 -11.8989 + 9 2.0000 -0.4351047 -11.8398 + 10 2.0000 -0.4239161 -11.5353 (HOMO) + 11 0.1118565 3.0438 (LUMO) + 12 0.1369565 3.7268 + 13 0.1421186 3.8672 + 14 0.1615191 4.3952 + 15 0.1721476 4.6844 + 16 0.2031947 5.5292 + 17 0.2316279 6.3029 + 18 0.2598538 7.0710 + 19 0.2690539 7.3213 + 20 0.3019726 8.2171 + ------------------------------------------------------------- + HL-Gap 0.5357725 Eh 14.5791 eV + Fermi-level -0.1560298 Eh -4.2458 eV + + # Z covCN q C6AA α(0) + 1 6 C 3.752 -0.102 22.510 6.766 + 2 6 C 3.799 -0.047 21.425 6.591 + 3 6 C 3.752 -0.102 22.510 6.766 + 4 1 H 0.925 0.034 2.536 2.490 + 5 1 H 0.925 0.031 2.575 2.509 + 6 1 H 0.925 0.034 2.536 2.490 + 7 1 H 0.924 0.028 2.619 2.531 + 8 1 H 0.924 0.028 2.619 2.531 + 9 1 H 0.925 0.034 2.536 2.490 + 10 1 H 0.925 0.034 2.536 2.490 + 11 1 H 0.925 0.031 2.575 2.509 + + Mol. C6AA /au·bohr⁶ : 723.105058 + Mol. C8AA /au·bohr⁸ : 14472.819828 + Mol. α(0) /au : 40.162759 + + +Wiberg/Mayer (AO) data. +largest (>0.10) Wiberg bond orders for each atom + + --------------------------------------------------------------------------- + # Z sym total # sym WBO # sym WBO # sym WBO + --------------------------------------------------------------------------- + 1 6 C 3.997 -- 2 C 1.020 6 H 0.988 4 H 0.988 + 5 H 0.988 + 2 6 C 3.998 -- 3 C 1.020 1 C 1.020 7 H 0.980 + 8 H 0.980 + 3 6 C 3.997 -- 2 C 1.020 10 H 0.988 9 H 0.988 + 11 H 0.988 + 4 1 H 0.999 -- 1 C 0.988 + 5 1 H 0.999 -- 1 C 0.988 + 6 1 H 0.999 -- 1 C 0.988 + 7 1 H 0.999 -- 2 C 0.980 + 8 1 H 0.999 -- 2 C 0.980 + 9 1 H 0.999 -- 3 C 0.988 + 10 1 H 0.999 -- 3 C 0.988 + 11 1 H 0.999 -- 3 C 0.988 + --------------------------------------------------------------------------- + + +molecular dipole: + x y z tot (Debye) + q only: 0.002 0.008 -0.001 + full: 0.002 0.008 -0.001 0.022 +molecular quadrupole (traceless): + xx xy yy xz yz zz + q only: 0.082 -0.016 0.020 -0.014 -0.014 -0.103 + q+dip: -0.632 0.159 -0.003 0.088 0.069 0.635 + full: -0.283 0.071 -0.003 0.040 0.031 0.286 + + ------------------------------------------------- + | Geometry Summary | + ------------------------------------------------- + + molecular mass/u : 44.0957337 + center of mass at/Å : -0.0084579 -0.0379007 0.0054656 + moments of inertia/u·Å² : 0.1719555E+02 0.5890379E+02 0.6669384E+02 +rotational constants/cm⁻¹ : 0.9803483E+00 0.2861893E+00 0.2527615E+00 + + * 10 selected distances + + # Z # Z value/Å + 1 6 C 2 6 C 1.5237754 (max) + 2 6 C 3 6 C 1.5237752 + 1 6 C 4 1 H 1.0880501 + 1 6 C 5 1 H 1.0876612 (min) + 1 6 C 6 1 H 1.0880512 + 2 6 C 7 1 H 1.0923587 + 2 6 C 8 1 H 1.0923585 + 3 6 C 9 1 H 1.0880513 + 3 6 C 10 1 H 1.0880515 + 3 6 C 11 1 H 1.0876616 + + * 2 distinct bonds (by element types) + + Z Z # av. dist./Å max./Å min./Å + 1 H 6 C 8 1.0890305 1.0923587 1.0876612 + 6 C 6 C 2 1.5237753 1.5237754 1.5237752 + + +optimized geometry written to: xtbopt.sdf + + + ------------------------------------------------- + | TOTAL ENERGY -10.500828065933 Eh | + | GRADIENT NORM 0.000207649002 Eh/α | + | HOMO-LUMO GAP 14.579112365988 eV | + ------------------------------------------------- + +------------------------------------------------------------------------ + * finished run on 2022/07/27 at 14:05:02.907 +------------------------------------------------------------------------ + total: + * wall-time: 0 d, 0 h, 0 min, 0.506 sec + * cpu-time: 0 d, 0 h, 0 min, 10.210 sec + * ratio c/w: 20.159 speedup + SCF: + * wall-time: 0 d, 0 h, 0 min, 0.126 sec + * cpu-time: 0 d, 0 h, 0 min, 2.633 sec + * ratio c/w: 20.855 speedup + ANC optimizer: + * wall-time: 0 d, 0 h, 0 min, 0.322 sec + * cpu-time: 0 d, 0 h, 0 min, 6.501 sec + * ratio c/w: 20.186 speedup + diff --git a/test/arkane/ess/xtbTest.py b/test/arkane/ess/xtbTest.py new file mode 100644 index 00000000000..5a11e499a7e --- /dev/null +++ b/test/arkane/ess/xtbTest.py @@ -0,0 +1,348 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +"""Tests for the xTB ESS adapter.""" + +import os + +import numpy as np +import pytest + +import rmgpy.constants as constants +from arkane.exceptions import LogError +from arkane.ess.factory import ess_factory +from arkane.ess.xtb import XTBLog + +DATA_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), '..', '..', 'arkane', 'data', 'xTB') + + +class TestFactory: + + def test_detects_freq(self): + assert isinstance(ess_factory(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False), XTBLog) + + def test_detects_opt(self): + assert isinstance(ess_factory(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False), XTBLog) + + def test_detects_co2(self): + assert isinstance(ess_factory(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False), XTBLog) + + def test_detects_ts(self): + assert isinstance(ess_factory(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False), XTBLog) + + def test_detects_sp(self): + assert isinstance(ess_factory(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False), XTBLog) + + +class TestGetNumberOfAtoms: + + def test_freq_c3h7(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + assert log.get_number_of_atoms() == 10 + + def test_opt_c3h7(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + assert log.get_number_of_atoms() == 10 + + def test_co2(self): + """CO2 opt+freq output (Turbomol $coord format).""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + assert log.get_number_of_atoms() == 3 + + def test_opt2_c3h11(self): + log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_2.out'), check_for_errors=False) + assert log.get_number_of_atoms() == 11 + + +class TestGeometryV2000: + + def test_opt_c3h7_shape(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + coord, number, mass = log.load_geometry() + assert coord.shape == (10, 3) + assert len(number) == 10 + + def test_opt_c3h7_atoms(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + _, number, _ = log.load_geometry() + assert list(number[:3]) == [6, 6, 6] + assert all(n == 1 for n in number[3:]) + + def test_opt_c3h7_coords(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + coord, _, _ = log.load_geometry() + np.testing.assert_allclose(coord[0], [-1.2948, 0.0509, -0.1043], atol=1e-4) + + def test_opt2_v2000(self): + """xtb_opt_2.out uses V2000 format with 11 atoms.""" + log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_2.out'), check_for_errors=False) + coord, number, mass = log.load_geometry() + assert coord.shape == (11, 3) + assert sum(number == 6) == 3 # 3 carbons + assert sum(number == 1) == 8 # 8 hydrogens + + +class TestGeometryTurbomol: + + def test_co2_shape(self): + """CO2 opt output uses $coord (Bohr) format.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + coord, number, mass = log.load_geometry() + assert coord.shape == (3, 3) + + def test_co2_atoms(self): + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + _, number, _ = log.load_geometry() + assert list(number) == [8, 6, 8] # O, C, O + + def test_co2_linearity(self): + """CO2 should be linear — central C at ~origin, O atoms symmetric.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + coord, _, _ = log.load_geometry() + # Central carbon should be near origin + assert abs(coord[1, 0]) < 0.01 + # O atoms should be roughly symmetric about C + np.testing.assert_allclose(coord[0, 0], -coord[2, 0], atol=0.01) + + def test_opt1_turbomol(self): + """xtb_opt_1.out uses $coord Turbomol format with 8 atoms.""" + log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_1.out'), check_for_errors=False) + coord, number, mass = log.load_geometry() + assert coord.shape == (8, 3) + assert sum(number == 6) == 3 # 3 C + assert sum(number == 8) == 1 # 1 O + assert sum(number == 1) == 4 # 4 H + + def test_opt1_units_are_angstrom(self): + """Verify Bohr→Angstrom conversion: C-O bond ~1.14 Å, not ~2.16 Bohr.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + coord, _, _ = log.load_geometry() + co_dist = np.linalg.norm(coord[0] - coord[1]) + assert 1.0 < co_dist < 1.3 # C=O bond is ~1.14 Å + + +class TestGeometryFreqOnly: + + def test_freq_only_raises(self): + """Freq-only (--hess) output has no embedded geometry.""" + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(LogError): + log.load_geometry() + + +class TestEnergy: + + def test_freq_c3h7(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + energy = log.load_energy() + expected = -9.907945789911 * constants.E_h * constants.Na + assert abs(energy - expected) < abs(expected) * 1e-6 + + def test_opt_c3h7(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + energy = log.load_energy() + expected = -9.907945789911 * constants.E_h * constants.Na + assert abs(energy - expected) < abs(expected) * 1e-6 + + def test_co2(self): + """CO2: total energy -10.308452243026 Eh.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + energy = log.load_energy() + expected = -10.308452243026 * constants.E_h * constants.Na + assert abs(energy - expected) < abs(expected) * 1e-6 + + def test_sp_ncc(self): + """Single point NCC: -10.752192838993 Eh.""" + log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False) + energy = log.load_energy() + expected = -10.752192838993 * constants.E_h * constants.Na + assert abs(energy - expected) < abs(expected) * 1e-6 + + def test_ts(self): + log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False) + energy = log.load_energy() + assert energy < 0 # should be negative + + def test_units_j_per_mol(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + energy = log.load_energy() + assert energy < 0 + assert abs(energy) > 1e6 # millions of J/mol + + +class TestZPE: + + def test_freq_c3h7(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + zpe = log.load_zero_point_energy() + expected = 0.086665171024 * constants.E_h * constants.Na + assert abs(zpe - expected) < abs(expected) * 1e-6 + assert zpe > 0 + + def test_ts_zpe(self): + """TS_NH2+N2H3: ZPE = 0.056690417480 Eh.""" + log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False) + zpe = log.load_zero_point_energy() + expected = 0.056690417480 * constants.E_h * constants.Na + assert abs(zpe - expected) < abs(expected) * 1e-6 + + def test_opt_only_raises(self): + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + with pytest.raises(LogError): + log.load_zero_point_energy() + + def test_sp_raises(self): + log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False) + with pytest.raises(LogError): + log.load_zero_point_energy() + + +class TestFrequencies: + + def test_c3h7_count(self): + """C3H7 (10 atoms): 3*10 - 6 = 24 real vibrational modes.""" + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + freqs = log._load_frequencies() + assert len(freqs) == 24 + + def test_c3h7_values(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + freqs = log._load_frequencies() + assert abs(freqs[0] - 63.60) < 0.1 + assert abs(freqs[-1] - 3104.88) < 0.1 + assert all(f > 0 for f in freqs) + + def test_co2_frequencies(self): + """CO2 (3 atoms, linear): 3*3 - 5 = 4 real modes.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + freqs = log._load_frequencies() + np.testing.assert_allclose(freqs, [600.70, 600.70, 1424.29, 2592.18], atol=0.01) + + def test_ts_frequencies(self): + """TS should have real frequencies (imaginary excluded by _load_frequencies).""" + log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False) + freqs = log._load_frequencies() + assert all(f > 0 for f in freqs) + # TS has 8 atoms, 3*8 - 6 - 1(imaginary) = 17 real modes + assert len(freqs) == 17 + + def test_opt_only_no_freqs(self): + """Optimization-only output without --hess should have no frequencies.""" + log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False) + freqs = log._load_frequencies() + assert freqs == [] + + +class TestNegativeFrequency: + + def test_ts_imaginary(self): + """TS_NH2+N2H3 should have one imaginary frequency at ~-781.89 cm^-1.""" + log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False) + neg_freq = log.load_negative_frequency() + assert abs(neg_freq - (-781.89)) < 0.1 + + def test_stable_molecule_raises(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(LogError): + log.load_negative_frequency() + + +class TestSpinMultiplicity: + + def test_c3h7_doublet(self): + """C3H7 radical: spin=0.5, multiplicity=2.""" + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + assert log._load_spin_multiplicity() == 2 + + def test_co2_singlet(self): + """CO2 closed-shell: should default to singlet.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + mult = log._load_spin_multiplicity() + assert mult == 1 + + +class TestConformer: + + def test_opt_c3h7(self): + """Conformer from optimization output (has geometry, no freqs).""" + log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False) + conformer, unscaled_freqs = log.load_conformer( + symmetry=1, spin_multiplicity=2, optical_isomers=1, label='C3H7') + assert conformer.spin_multiplicity == 2 + assert conformer.optical_isomers == 1 + mode_types = [type(m).__name__ for m in conformer.modes] + assert 'IdealGasTranslation' in mode_types + assert 'NonlinearRotor' in mode_types + + def test_co2_linear_rotor(self): + """CO2 is linear — conformer should have LinearRotor.""" + log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False) + conformer, freqs = log.load_conformer( + symmetry=2, spin_multiplicity=1, optical_isomers=1, label='CO2') + mode_types = [type(m).__name__ for m in conformer.modes] + assert 'LinearRotor' in mode_types + assert 'HarmonicOscillator' in mode_types + assert len(freqs) == 4 # CO2: 4 real modes + + def test_opt1_turbomol(self): + """Conformer from Turbomol $coord geometry.""" + log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_1.out'), check_for_errors=False) + conformer, freqs = log.load_conformer( + symmetry=1, spin_multiplicity=1, optical_isomers=1, label='test') + assert conformer is not None + mode_types = [type(m).__name__ for m in conformer.modes] + assert 'IdealGasTranslation' in mode_types + + def test_freq_only_raises(self): + """Freq-only output can't build conformer (no geometry).""" + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(LogError): + log.load_conformer(symmetry=1, spin_multiplicity=2, optical_isomers=1) + + +class TestUnsupported: + + def test_force_constant_matrix(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + assert log.load_force_constant_matrix() is None + + def test_scan_energies(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(NotImplementedError): + log.load_scan_energies() + + def test_scan_pivot_atoms(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(NotImplementedError): + log.load_scan_pivot_atoms() + + def test_scan_frozen_atoms(self): + log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False) + with pytest.raises(NotImplementedError): + log.load_scan_frozen_atoms() From fc9acc64d2681b705bbec4995cc044a70e5cb233 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 9 Apr 2026 14:20:47 -0400 Subject: [PATCH 342/700] Change python conda build version on PRs --- .github/workflows/conda_build.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 8df959e3822..9ec44a364ed 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -23,19 +23,19 @@ jobs: # for PRs just run a single build per platform to save time and resources - is_pr: true os: ubuntu-latest - python-version: "3.9" + python-version: "3.11" - is_pr: true os: ubuntu-latest python-version: "3.10" - is_pr: true os: macos-15-intel - python-version: "3.9" + python-version: "3.11" - is_pr: true os: macos-15-intel python-version: "3.10" - is_pr: true os: macos-latest - python-version: "3.9" + python-version: "3.11" - is_pr: true os: macos-latest python-version: "3.10" From de529f8b2218134ed31f24b875415c0c197f470e Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 12 Apr 2026 11:39:02 -0400 Subject: [PATCH 343/700] update Arkane statmech to handle xtb adapter xtb does not save geometries to its frequency logs, so this redirects Arkane's statmech.py to use the geometry file in place of the frequency file for anything that depends on geometry. It also grabs the frequencies from the frequency log and combines them with the conformer object built by the geometry log to get a complete conformer object with all the modes. --- arkane/modelchem.py | 3 ++- arkane/statmech.py | 20 +++++++++++++++++--- 2 files changed, 19 insertions(+), 4 deletions(-) diff --git a/arkane/modelchem.py b/arkane/modelchem.py index 33d261ecac4..d30c8e4b440 100644 --- a/arkane/modelchem.py +++ b/arkane/modelchem.py @@ -285,7 +285,8 @@ def str_to_lot(s: str) -> Union[LevelOfTheory, CompositeLevelOfTheory]: 'orca': ('orca',), 'terachem': ('terachem',), 'mopac': ('mopac',), - 'psi4': ('psi4',) + 'psi4': ('psi4',), + 'xtb': ('xtb',) } _software_ids = {_name: _id for _id, _names in _valid_software_names.items() for _name in _names} diff --git a/arkane/statmech.py b/arkane/statmech.py index af82a045bb8..d348ec0c075 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -57,7 +57,7 @@ from arkane.common import ArkaneSpecies, symbol_by_number, get_principal_moments_of_inertia from arkane.encorr.corr import get_atom_correction, get_bac -from arkane.ess import ESSAdapter, ess_factory, _registered_ess_adapters, GaussianLog, QChemLog +from arkane.ess import ESSAdapter, ess_factory, _registered_ess_adapters, GaussianLog, QChemLog, XTBLog from arkane.encorr.isodesmic import ErrorCancelingSpecies, IsodesmicRingScheme from arkane.modelchem import LevelOfTheory, CompositeLevelOfTheory, standardize_name from arkane.output import prettify @@ -506,10 +506,21 @@ def create_log(log_path, check_for_errors=True): self.species.label)) logging.debug(' Reading molecular degrees of freedom...') - conformer, unscaled_frequencies = statmech_log.load_conformer(symmetry=external_symmetry, + if isinstance(statmech_log, XTBLog): + # XTB frequencies log does not contain geometry information, so read the geometry from the geometry log + # frequencies from the frequencies log and combine them to create the conformer object + conformer, unscaled_frequencies = geom_log.load_conformer(symmetry=external_symmetry, spin_multiplicity=spin_multiplicity, optical_isomers=optical_isomers, label=self.species.label) + unscaled_frequencies = statmech_log._load_frequencies() + if unscaled_frequencies: + conformer.modes.append(HarmonicOscillator(frequencies=(unscaled_frequencies, "cm^-1"))) + else: + conformer, unscaled_frequencies = statmech_log.load_conformer(symmetry=external_symmetry, + spin_multiplicity=spin_multiplicity, + optical_isomers=optical_isomers, + label=self.species.label) for mode in conformer.modes: if isinstance(mode, (Translation, IdealGasTranslation)): @@ -695,7 +706,10 @@ def create_log(log_path, check_for_errors=True): # save supporting information for calculation self.supporting_info = [self.species.label] - optical_isomers_read, symmetry_read, point_group_read = statmech_log.get_symmetry_properties() + if isinstance(statmech_log, XTBLog): + optical_isomers_read, symmetry_read, point_group_read = geom_log.get_symmetry_properties() + else: + optical_isomers_read, symmetry_read, point_group_read = statmech_log.get_symmetry_properties() self.supporting_info.append(external_symmetry if external_symmetry else symmetry_read) self.supporting_info.append(optical_isomers if optical_isomers else optical_isomers_read) self.supporting_info.append(point_group_read) From 344a38587b4a1df966e052bbaf992d275006d4ec Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 01:52:58 +0300 Subject: [PATCH 344/700] Added the auto-db module --- rmgpy/data/auto_database.py | 603 ++++++++++++++++++++++++++++++++++++ 1 file changed, 603 insertions(+) create mode 100644 rmgpy/data/auto_database.py diff --git a/rmgpy/data/auto_database.py b/rmgpy/data/auto_database.py new file mode 100644 index 00000000000..5a4d4039ef5 --- /dev/null +++ b/rmgpy/data/auto_database.py @@ -0,0 +1,603 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +Automated kinetics library, kinetics family, thermo library and transport library selection for RMG +based on the chemistry detected in the input species and reactor conditions. +""" + +import logging +import os +from dataclasses import dataclass, field +from enum import Enum +from typing import Any, List, Optional, Set, Tuple, Union + +import yaml + +from rmgpy.exceptions import InputError +from rmgpy.solver.liquid import LiquidReactor +from rmgpy.solver.surface import SurfaceReactor + +try: + from rmgpy.rmg.reactionmechanismsimulator_reactors import ( + ConstantTLiquidSurfaceReactor as RMSLiqSurf, + ConstantTVLiquidReactor as RMSLiq, + ) +except ImportError: + RMSLiqSurf = None + RMSLiq = None + +# Values used in input files to request auto-selection +AUTO = 'auto' +PAH_LIBS = '' + +# Temperature threshold (in K) above which CH pyrolysis libraries are included +CH_PYROLYSIS_T_THRESHOLD = 800.0 + +# Elements that trigger the halogens chemistry set +HALOGEN_ELEMENTS = {'F', 'Cl', 'Br', 'I'} +# Elements that trigger the metal/electrochem chemistry set (currently only Li) +ELECTROCHEM_ELEMENTS = {'Li'} + + +class ChemistrySet(str, Enum): + """Named chemistry sets defined in recommended_libraries.yml.""" + PRIMARY = 'primary' + NITROGEN = 'nitrogen' + SULFUR = 'sulfur' + OXIDATION = 'oxidation' + CH_PYROLYSIS_CORE = 'CH_pyrolysis_core' + PAH_FORMATION = 'PAH_formation' + LIQUID_OXIDATION = 'liquid_oxidation' + SURFACE = 'surface' + SURFACE_NITROGEN = 'surface_nitrogen' + HALOGENS = 'halogens' + ELECTROCHEM = 'electrochem' + + +class FamilySet(str, Enum): + """Named kinetics family sets defined in recommended.py.""" + DEFAULT = 'default' + CH_PYROLYSIS = 'ch_pyrolysis' + LIQUID_PEROXIDE = 'liquid_peroxide' + SURFACE = 'surface' + HALOGENS = 'halogens' + ELECTROCHEM = 'electrochem' + + +@dataclass +class ChemistryProfile: + """Detected chemistry characteristics from initial species and reactor conditions.""" + elements_present: Set[str] = field(default_factory=set) + has_nitrogen: bool = False + has_sulfur: bool = False + has_oxygen: bool = False + has_carbon: bool = False + has_halogens: bool = False + has_electrochem: bool = False + has_surface: bool = False + has_liquid: bool = False + max_temperature: float = 0.0 + + +def detect_chemistry(initial_species: list, + reaction_systems: list, + solvent: Optional[str], + ) -> ChemistryProfile: + """ + Analyze initial species and reactor conditions to build a ChemistryProfile. + + Args: + initial_species: list of Species objects from the RMG input. + reaction_systems: list of reactor system objects. + solvent: solvent name string, or None for gas phase. + + Returns: + ChemistryProfile with detected characteristics. + """ + profile = ChemistryProfile() + + for spc in initial_species: + if not spc.reactive: + continue + mol = spc.molecule[0] + element_counts = mol.get_element_count() + profile.elements_present.update(element_counts.keys()) + if mol.is_surface_site() or 'X' in element_counts: + profile.has_surface = True + + profile.has_nitrogen = 'N' in profile.elements_present + profile.has_sulfur = 'S' in profile.elements_present + profile.has_oxygen = 'O' in profile.elements_present + profile.has_carbon = 'C' in profile.elements_present + profile.has_halogens = bool(profile.elements_present & HALOGEN_ELEMENTS) # bool(set intersection) + profile.has_electrochem = bool(profile.elements_present & ELECTROCHEM_ELEMENTS) + + for reactor in reaction_systems: + if isinstance(reactor, LiquidReactor): + profile.has_liquid = True + if isinstance(reactor, SurfaceReactor): + profile.has_surface = True + # RMS reactor types (may not be installed) + if RMSLiq is not None: + if isinstance(reactor, (RMSLiq, RMSLiqSurf)): + profile.has_liquid = True + if isinstance(reactor, RMSLiqSurf): + profile.has_surface = True + + T = _get_reactor_max_temperature(reactor) + if T is not None and T > profile.max_temperature: + profile.max_temperature = T + + if solvent is not None: + profile.has_liquid = True + + return profile + + +def _get_reactor_max_temperature(reactor: Any) -> Optional[float]: + """ + Extract the maximum temperature (in K) from a reactor system. + Handles both single-value and range temperature specifications. + + Returns: + float temperature in K, or None if it cannot be determined. + """ + T = getattr(reactor, 'T', None) + if T is not None: + if isinstance(T, list): + return max(t.value_si for t in T) + return T.value_si + + # SimpleReactor stores Trange when a temperature range is given + Trange = getattr(reactor, 'Trange', None) + if Trange is not None and isinstance(Trange, list) and len(Trange) > 0: + return max(t.value_si for t in Trange) + + # RMS reactors store T in initial_conditions + ic = getattr(reactor, 'initial_conditions', None) + if ic is not None and isinstance(ic, dict): + if 'T' in ic: + return float(ic['T']) + # Nested dict for liquid-surface reactors + for phase_key in ('liquid', 'gas', 'Default'): + if isinstance(ic.get(phase_key), dict) and 'T' in ic[phase_key]: + return float(ic[phase_key]['T']) + + return None + + +def _has_pah_libs_keyword(rmg: Any) -> bool: + """Check whether the user included the keyword in any library field.""" + for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms', 'transport_libraries'): + val = getattr(rmg, attr, None) + if isinstance(val, list): + for item in val: + name = item[0] if isinstance(item, tuple) else item + if name == PAH_LIBS: + return True + return False + + +def determine_chemistry_sets(profile: ChemistryProfile, + pah_libs_requested: bool = False, + ) -> List[ChemistrySet]: + """ + Determine which chemistry sets to activate based on the detected profile. + + CH pyrolysis logic: + - CH_pyrolysis_core is always added when C present AND T >= 800 K. + - PAH_formation is added when: + (a) C + T >= 800 K + no O in species (pure C/H pyrolysis), OR + (b) C + T >= 800 K + keyword requested by user. + + Args: + profile: ChemistryProfile instance. + pah_libs_requested: bool, True if user included keyword. + + Returns: + List of ChemistrySet values in priority order. + """ + sets = [ChemistrySet.PRIMARY] + + if profile.has_nitrogen: + sets.append(ChemistrySet.NITROGEN) + + if profile.has_sulfur: + sets.append(ChemistrySet.SULFUR) + + if profile.has_oxygen: + sets.append(ChemistrySet.OXIDATION) + + high_T_carbon = profile.has_carbon and profile.max_temperature >= CH_PYROLYSIS_T_THRESHOLD + + if high_T_carbon: + sets.append(ChemistrySet.CH_PYROLYSIS_CORE) + + if not profile.has_oxygen or pah_libs_requested: + sets.append(ChemistrySet.PAH_FORMATION) + + if profile.has_liquid and profile.has_oxygen: + sets.append(ChemistrySet.LIQUID_OXIDATION) + + if profile.has_surface: + sets.append(ChemistrySet.SURFACE) + + if profile.has_surface and profile.has_nitrogen: + sets.append(ChemistrySet.SURFACE_NITROGEN) + + if profile.has_halogens: + sets.append(ChemistrySet.HALOGENS) + + if profile.has_electrochem: + sets.append(ChemistrySet.ELECTROCHEM) + + return sets + + +def determine_kinetics_families(profile: ChemistryProfile) -> List[FamilySet]: + """ + Determine which kinetics family sets to activate based on the detected profile. + + These correspond to named sets in RMG-database/input/kinetics/families/recommended.py. + + Args: + profile: ChemistryProfile instance. + + Returns: + List of FamilySet values to combine. + """ + family_sets = [FamilySet.DEFAULT] + + if profile.has_carbon and profile.max_temperature >= CH_PYROLYSIS_T_THRESHOLD: + family_sets.append(FamilySet.CH_PYROLYSIS) + + if profile.has_liquid and profile.has_oxygen: + family_sets.append(FamilySet.LIQUID_PEROXIDE) + + if profile.has_surface: + family_sets.append(FamilySet.SURFACE) + + if profile.has_halogens: + family_sets.append(FamilySet.HALOGENS) + + if profile.has_electrochem: + family_sets.append(FamilySet.ELECTROCHEM) + + return family_sets + + +def load_recommended_yml(database_directory: str) -> dict: + """ + Load the recommended_libraries.yml file from the RMG database. + + Args: + database_directory: path to the RMG database 'input' directory. + + Returns: + dict parsed from YAML. + """ + yml_path = os.path.join(database_directory, 'recommended_libraries.yml') + if not os.path.isfile(yml_path): + raise InputError(f"Could not find recommended_libraries.yml at {yml_path}. " + f"This file is required for 'auto' library selection.") + with open(yml_path, 'r') as f: + return yaml.safe_load(f) + + +def expand_chemistry_sets(recommended_data: dict, + set_names: List[Union[ChemistrySet, str]], + ) -> Tuple[List[str], List[str], List[str], List[str]]: + """ + Expand named chemistry sets into concrete library lists. + + Args: + recommended_data: dict from recommended_libraries.yml. + set_names: list of chemistry set names to expand. + + Returns: + Tuple of (thermo_libraries, kinetics_libraries, transport_libraries, seed_libraries) + where each is a list of library name strings. + """ + # Primary must always be expanded first so its libraries have highest priority. + # Use == which works for both enum members and plain strings (str,Enum == 'value' is True). + has_primary = any(s == ChemistrySet.PRIMARY for s in set_names) + other_sets = [s for s in set_names if s != ChemistrySet.PRIMARY] + set_names = ([ChemistrySet.PRIMARY] if has_primary else []) + other_sets + + thermo, kinetics, transport, seed = [], [], [], [] + + for set_name in set_names: + if set_name not in recommended_data: + raise InputError(f"Chemistry set '{set_name}' not found in recommended_libraries.yml. " + f"Available sets: {list(recommended_data.keys())}") + set_data = recommended_data[set_name] + + for entry in set_data.get('thermo', []): + name = entry if isinstance(entry, str) else entry['name'] + if name not in thermo: + thermo.append(name) + + for entry in set_data.get('kinetics', []): + if isinstance(entry, str): + if entry not in kinetics: + kinetics.append(entry) + elif isinstance(entry, dict): + name = entry['name'] + if entry.get('seed', False): + if name not in seed: + seed.append(name) + else: + if name not in kinetics: + kinetics.append(name) + + for entry in set_data.get('transport', []): + name = entry if isinstance(entry, str) else entry['name'] + if name not in transport: + transport.append(name) + + return thermo, kinetics, transport, seed + + +def merge_with_user_libraries(user_spec: Any, auto_libs: List[str]) -> Union[List[str], None]: + """ + Merge user-specified libraries with auto-selected libraries, + respecting the position of the 'auto' token. tokens + are silently removed (they've already been used as a signal). + + Args: + user_spec: the user's library specification. Can be: + - 'auto' (string): fully replace with auto_libs + - list containing 'auto' token: replace token in-place with auto_libs + - list without 'auto': return as-is (with stripped) + - None or []: return as-is + auto_libs: list of auto-selected library names. + + Returns: + Resolved list of library names. + """ + if user_spec == AUTO: + return list(auto_libs) + + if not isinstance(user_spec, list): + return user_spec + + # Collect all user-specified library names (excluding special tokens) + user_lib_names = set() + for item in user_spec: + if item not in (AUTO, PAH_LIBS): + name = item[0] if isinstance(item, tuple) else item + user_lib_names.add(name) + + # Filter auto libs to exclude any already specified by user + filtered_auto = [lib for lib in auto_libs if lib not in user_lib_names] + + # Replace tokens in-place + result = [] + for item in user_spec: + if item == AUTO: + result.extend(filtered_auto) + elif item == PAH_LIBS: + continue + else: + result.append(item) + + return result + + +def to_reaction_library_tuples(reaction_libraries: List[str], + output_edge: set, + ) -> List[Tuple[str, bool]]: + """ + Convert a plain list of reaction library names back to (name, bool) tuples. + + The bool indicates whether unused edge reactions from this library should + be appended to the chemkin output file. + + Args: + reaction_libraries: list of library name strings. + output_edge: set of library names that had the True option. + + Returns: + List of (name, bool) tuples. + """ + return [(name, name in output_edge) for name in reaction_libraries] + + +def resolve_auto_kinetics_families(family_set_names: List[Union[FamilySet, str]], + database_directory: str, + ) -> List[str]: + """ + Resolve 'auto' kinetics families by combining the named sets from recommended.py. + + Reads the recommended.py file from the database and combines all requested sets + into a single list of family names. + + Args: + family_set_names: list of family set names (e.g., ['default', 'surface']). + database_directory: path to the RMG database root. + + Returns: + List of family name strings. + """ + recommended_path = os.path.join(database_directory, 'kinetics', 'families', 'recommended.py') + if not os.path.isfile(recommended_path): + raise InputError(f"Could not find recommended.py at {recommended_path}. " + f"This file is required for 'auto' kinetics families selection.") + + # Execute the recommended.py file to get the family sets. + # Use restricted globals (no builtins) since this file should only define plain sets. + local_context = {} + with open(recommended_path, 'r') as f: + exec(f.read(), {'__builtins__': {}}, local_context) + + combined = [] + for set_name in family_set_names: + if set_name not in local_context: + raise InputError(f"Kinetics family set '{set_name}' not found in recommended.py. " + f"Available sets: {[k for k in local_context if not k.startswith('_')]}") + family_set = local_context[set_name] + for family in family_set: + if family not in combined: + combined.append(family) + + return combined + + +def _log_lib_list(label: str, libs: Optional[list], width: int = 80) -> None: + """Log a library list with wrapping so lines stay under `width` chars.""" + if libs is None: + libs = [] + indent = ' ' + header = f' {label} ({len(libs)}): ' + if not libs: + logging.info(f'{header}(none)') + return + lines = [header] + current_line = indent + for i, name in enumerate(libs): + entry = name if i == 0 else f', {name}' + if len(current_line) + len(entry) > width and current_line != indent: + lines.append(current_line) + current_line = indent + name + else: + current_line += entry + lines.append(current_line) + logging.info('\n'.join(lines)) + + +def auto_select_libraries(rmg): + """ + Main entry point for auto library selection. + + Inspects the RMG object's initial_species, reaction_systems, and solvent + to detect the chemistry, then resolves any 'auto' tokens in the library + specifications. + + Modifies the rmg object in-place. + + Args: + rmg: the RMG job object with populated initial_species, reaction_systems, etc. + """ + # Check if any field uses 'auto' or '' + has_special = False + for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms', 'transport_libraries', 'kinetics_families'): + val = getattr(rmg, attr, None) + if val in (AUTO, PAH_LIBS): + has_special = True + break + if isinstance(val, list): + for item in val: + name = item[0] if isinstance(item, tuple) else item + if name in (AUTO, PAH_LIBS): + has_special = True + break + if has_special: + break + + if not has_special: + return + + # Check for keyword before we strip it + pah_libs_requested = _has_pah_libs_keyword(rmg) + + # Detect chemistry + profile = detect_chemistry(rmg.initial_species, rmg.reaction_systems, rmg.solvent) + + # Build a compact fingerprint of what we detected + flags = [] + for symbol in sorted(profile.elements_present): + flags.append(symbol) + tags = [] + if profile.has_surface: + tags.append('surface') + if profile.has_liquid: + tags.append('liquid') + if pah_libs_requested: + tags.append('PAH_libs') + phase_str = f' | {", ".join(tags)}' if tags else '' + fingerprint = f'[{"/".join(flags)}] T_max={profile.max_temperature:.0f} K{phase_str}' + + logging.info('') + logging.info('~' * 80) + logging.info(f' Auto-selecting libraries for: {fingerprint}') + logging.info('~' * 80) + + # Determine chemistry sets + set_names = determine_chemistry_sets(profile, pah_libs_requested) + logging.info(f' Chemistry sets triggered: {", ".join(s.value for s in set_names)}') + + # Load and expand recommended_libraries.yml + recommended_data = load_recommended_yml(rmg.database_directory) + auto_thermo, auto_kinetics, auto_transport, auto_seeds = expand_chemistry_sets( + recommended_data, set_names + ) + + # Resolve each library field + rmg.thermo_libraries = merge_with_user_libraries(rmg.thermo_libraries, auto_thermo) + rmg.reaction_libraries = merge_with_user_libraries(rmg.reaction_libraries, auto_kinetics) + rmg.seed_mechanisms = merge_with_user_libraries(rmg.seed_mechanisms, auto_seeds) + rmg.transport_libraries = merge_with_user_libraries(rmg.transport_libraries, auto_transport) + + _log_lib_list('Thermo libraries', rmg.thermo_libraries) + _log_lib_list('Reaction libraries', rmg.reaction_libraries) + _log_lib_list('Seed mechanisms', rmg.seed_mechanisms) + _log_lib_list('Transport libraries', rmg.transport_libraries) + + # Resolve kinetics families + needs_auto_families = ( + rmg.kinetics_families == AUTO + or (isinstance(rmg.kinetics_families, list) and AUTO in rmg.kinetics_families) + ) + if needs_auto_families: + family_set_names = determine_kinetics_families(profile) + auto_families = resolve_auto_kinetics_families( + family_set_names, rmg.database_directory + ) + logging.info(f' Kinetics family sets: {", ".join(s.value for s in family_set_names)}') + + if rmg.kinetics_families == AUTO: + rmg.kinetics_families = auto_families + else: + # List with 'auto' + possible !exclusions and explicit additions + exclusions = {item[1:] for item in rmg.kinetics_families + if isinstance(item, str) and item.startswith('!')} + additions = [item for item in rmg.kinetics_families + if isinstance(item, str) and item != AUTO and not item.startswith('!')] + rmg.kinetics_families = [f for f in auto_families if f not in exclusions] + for fam in additions: + if fam not in rmg.kinetics_families: + rmg.kinetics_families.append(fam) + if exclusions: + logging.info(f' Families excluded by user: {", ".join(sorted(exclusions))}') + + _log_lib_list('Kinetics families', rmg.kinetics_families) + + logging.info('~' * 80) + logging.info('') From 5dc65958a1ed2eae63b92dab6a597420348a2f55 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 02:14:24 +0300 Subject: [PATCH 345/700] Tests: auto database --- test/rmgpy/data/autoDatabaseTest.py | 685 ++++++++++++++++++++++++++++ 1 file changed, 685 insertions(+) create mode 100644 test/rmgpy/data/autoDatabaseTest.py diff --git a/test/rmgpy/data/autoDatabaseTest.py b/test/rmgpy/data/autoDatabaseTest.py new file mode 100644 index 00000000000..c262c08a119 --- /dev/null +++ b/test/rmgpy/data/autoDatabaseTest.py @@ -0,0 +1,685 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +"""Tests for the automated library and family selection module (auto_database.py).""" + +import logging +import os +import unittest + +from rmgpy import settings +from rmgpy.data.auto_database import ( + AUTO, + PAH_LIBS, + ChemistryProfile, + ChemistrySet, + FamilySet, + _get_reactor_max_temperature, + _has_pah_libs_keyword, + _log_lib_list, + to_reaction_library_tuples, + auto_select_libraries, + detect_chemistry, + determine_chemistry_sets, + determine_kinetics_families, + expand_chemistry_sets, + load_recommended_yml, + merge_with_user_libraries, + resolve_auto_kinetics_families, +) +from rmgpy.molecule import Molecule +from rmgpy.quantity import Quantity +from rmgpy.rmg.main import RMG +from rmgpy.solver.liquid import LiquidReactor +from rmgpy.solver.simple import SimpleReactor +from rmgpy.solver.surface import SurfaceReactor +from rmgpy.species import Species + + +def _simple_reactor(T_K: float) -> SimpleReactor: + spc = Species().from_smiles('C') + return SimpleReactor(T=Quantity(T_K, 'K'), P=Quantity(1e5, 'Pa'), + initial_mole_fractions={spc: 1.0}, n_sims=1, termination=[]) + + +def _liquid_reactor(T_K: float) -> LiquidReactor: + spc = Species().from_smiles('C') + return LiquidReactor(T=Quantity(T_K, 'K'), initial_concentrations={spc: 0.1}, + n_sims=1, termination=[]) + + +def _surface_reactor(T_K: float) -> SurfaceReactor: + gas_spc = Species().from_smiles('[H][H]') + x_mol = Molecule().from_adjacency_list('1 X u0 p0 c0') + surf_spc = Species(molecule=[x_mol]) + return SurfaceReactor(T=Quantity(T_K, 'K'), P_initial=Quantity(1e5, 'Pa'), + initial_gas_mole_fractions={gas_spc: 1.0}, + initial_surface_coverages={surf_spc: 1.0}, + surface_volume_ratio=Quantity(1e1, 'm^-1'), + surface_site_density=Quantity(2.72e-9, 'mol/cm^2'), + n_sims=1, termination=[]) + + +def _rmg_with_auto(species_smiles, T_K, solvent=None, pah=False): + """Build an RMG object with 'auto' library settings.""" + rmg = RMG() + rmg.initial_species = [Species().from_smiles(s) for s in species_smiles] + rmg.reaction_systems = [_simple_reactor(T_K)] + rmg.solvent = solvent + rmg.database_directory = settings['database.directory'] + rmg.thermo_libraries = AUTO + rmg.reaction_libraries = [AUTO, PAH_LIBS] if pah else AUTO + rmg.seed_mechanisms = AUTO + rmg.transport_libraries = AUTO + rmg.kinetics_families = AUTO + rmg.reaction_libraries_output_edge = set() + return rmg + + +class TestGetReactorMaxTemperature(unittest.TestCase): + + def test_simple_reactor(self): + self.assertAlmostEqual(_get_reactor_max_temperature(_simple_reactor(1200.0)), 1200.0) + + def test_liquid_reactor(self): + self.assertAlmostEqual(_get_reactor_max_temperature(_liquid_reactor(350.0)), 350.0) + + def test_surface_reactor(self): + self.assertAlmostEqual(_get_reactor_max_temperature(_surface_reactor(600.0)), 600.0) + + def test_temperature_range(self): + spc = Species().from_smiles('C') + reactor = SimpleReactor(T=[Quantity(800, 'K'), Quantity(1500, 'K')], + P=Quantity(1e5, 'Pa'), + initial_mole_fractions={spc: 1.0}, n_sims=1, termination=[]) + self.assertAlmostEqual(_get_reactor_max_temperature(reactor), 1500.0) + + def test_no_T_attribute(self): + self.assertIsNone(_get_reactor_max_temperature(object())) + + +class TestHasPahLibsKeyword(unittest.TestCase): + + def test_in_thermo(self): + rmg = RMG() + rmg.thermo_libraries = ['auto', PAH_LIBS] + rmg.reaction_libraries = [] + rmg.seed_mechanisms = [] + rmg.transport_libraries = [] + self.assertTrue(_has_pah_libs_keyword(rmg)) + + def test_in_reaction_libraries(self): + rmg = RMG() + rmg.thermo_libraries = [] + rmg.reaction_libraries = ['myLib', ''] + rmg.seed_mechanisms = [] + rmg.transport_libraries = [] + self.assertTrue(_has_pah_libs_keyword(rmg)) + + def test_absent(self): + rmg = RMG() + rmg.thermo_libraries = ['auto'] + rmg.reaction_libraries = ['auto'] + rmg.seed_mechanisms = ['auto'] + rmg.transport_libraries = ['auto'] + self.assertFalse(_has_pah_libs_keyword(rmg)) + + def test_string_field_not_iterated(self): + rmg = RMG() + rmg.thermo_libraries = 'auto' + rmg.reaction_libraries = 'auto' + rmg.seed_mechanisms = 'auto' + rmg.transport_libraries = 'auto' + self.assertFalse(_has_pah_libs_keyword(rmg)) + + +class TestDetectChemistry(unittest.TestCase): + + def test_hydrocarbon(self): + species = [Species().from_smiles('C'), Species().from_smiles('[H][H]')] + profile = detect_chemistry(species, [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_carbon) + self.assertFalse(profile.has_nitrogen) + self.assertFalse(profile.has_oxygen) + self.assertAlmostEqual(profile.max_temperature, 500.0) + + def test_oxygenated_fuel(self): + species = [Species().from_smiles('CCO'), Species().from_smiles('N#N')] + profile = detect_chemistry(species, [_simple_reactor(1000.0)], solvent=None) + self.assertTrue(profile.has_oxygen) + self.assertTrue(profile.has_carbon) + self.assertTrue(profile.has_nitrogen) + + def test_O2(self): + species = [Species().from_smiles('C'), Species().from_smiles('[O][O]')] + profile = detect_chemistry(species, [_simple_reactor(1500.0)], solvent=None) + self.assertTrue(profile.has_oxygen) + + def test_nitrogen(self): + profile = detect_chemistry([Species().from_smiles('N')], [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_nitrogen) + + def test_sulfur(self): + profile = detect_chemistry([Species().from_smiles('S')], [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_sulfur) + + def test_halogens(self): + profile = detect_chemistry([Species().from_smiles('CCl')], [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_halogens) + + def test_liquid_reactor(self): + profile = detect_chemistry([Species().from_smiles('C')], [_liquid_reactor(300.0)], solvent=None) + self.assertTrue(profile.has_liquid) + + def test_surface_reactor(self): + profile = detect_chemistry([Species().from_smiles('[H][H]')], [_surface_reactor(600.0)], solvent=None) + self.assertTrue(profile.has_surface) + + def test_solvent(self): + profile = detect_chemistry([Species().from_smiles('C')], [_simple_reactor(300.0)], solvent='water') + self.assertTrue(profile.has_liquid) + + def test_max_T_multiple_reactors(self): + profile = detect_chemistry([Species().from_smiles('C')], + [_simple_reactor(500.0), _simple_reactor(1200.0)], solvent=None) + self.assertAlmostEqual(profile.max_temperature, 1200.0) + + def test_surface_species(self): + x_mol = Molecule().from_adjacency_list('1 X u0 p0 c0') + profile = detect_chemistry([Species(molecule=[x_mol])], [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_surface) + + def test_mixed_reactors(self): + profile = detect_chemistry([Species().from_smiles('C')], + [_simple_reactor(800.0), _liquid_reactor(350.0)], solvent=None) + self.assertTrue(profile.has_liquid) + self.assertAlmostEqual(profile.max_temperature, 800.0) + + def test_no_reactors(self): + profile = detect_chemistry([Species().from_smiles('CCO')], [], solvent=None) + self.assertTrue(profile.has_oxygen) + self.assertAlmostEqual(profile.max_temperature, 0.0) + + def test_nonreactive_species_ignored(self): + reactive = Species().from_smiles('C') + bath_gas = Species(reactive=False).from_smiles('N#N') + profile = detect_chemistry([reactive, bath_gas], [_simple_reactor(500.0)], solvent=None) + self.assertTrue(profile.has_carbon) + self.assertFalse(profile.has_nitrogen) + + +class TestDetermineChemistrySets(unittest.TestCase): + + def test_primary_always(self): + self.assertEqual(determine_chemistry_sets(ChemistryProfile(), False), [ChemistrySet.PRIMARY]) + + def test_nitrogen(self): + self.assertIn(ChemistrySet.NITROGEN, determine_chemistry_sets(ChemistryProfile(has_nitrogen=True), False)) + + def test_sulfur(self): + self.assertIn(ChemistrySet.SULFUR, determine_chemistry_sets(ChemistryProfile(has_sulfur=True), False)) + + def test_oxidation(self): + self.assertIn(ChemistrySet.OXIDATION, determine_chemistry_sets(ChemistryProfile(has_oxygen=True), False)) + + def test_ch_pyrolysis_core(self): + self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE, + determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=900.0), False)) + + def test_ch_pyrolysis_core_low_T(self): + self.assertNotIn(ChemistrySet.CH_PYROLYSIS_CORE, + determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=500.0), False)) + + def test_pah_no_oxygen(self): + self.assertIn(ChemistrySet.PAH_FORMATION, + determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=1000.0), False)) + + def test_pah_blocked_by_oxygen(self): + self.assertNotIn(ChemistrySet.PAH_FORMATION, + determine_chemistry_sets( + ChemistryProfile(has_carbon=True, has_oxygen=True, max_temperature=1000.0), False)) + + def test_pah_with_keyword(self): + self.assertIn(ChemistrySet.PAH_FORMATION, + determine_chemistry_sets(ChemistryProfile(has_carbon=True, has_oxygen=True, max_temperature=1000.0), True)) + + def test_liquid_oxidation(self): + self.assertIn(ChemistrySet.LIQUID_OXIDATION, + determine_chemistry_sets(ChemistryProfile(has_liquid=True, has_oxygen=True), False)) + + def test_surface(self): + sets = determine_chemistry_sets(ChemistryProfile(has_surface=True), False) + self.assertIn(ChemistrySet.SURFACE, sets) + self.assertNotIn(ChemistrySet.SURFACE_NITROGEN, sets) + + def test_surface_nitrogen(self): + sets = determine_chemistry_sets(ChemistryProfile(has_surface=True, has_nitrogen=True), False) + self.assertIn(ChemistrySet.SURFACE, sets) + self.assertIn(ChemistrySet.SURFACE_NITROGEN, sets) + + def test_halogens(self): + self.assertIn(ChemistrySet.HALOGENS, + determine_chemistry_sets(ChemistryProfile(has_halogens=True), False)) + + def test_electrochem(self): + self.assertIn(ChemistrySet.ELECTROCHEM, + determine_chemistry_sets(ChemistryProfile(has_electrochem=True), False)) + + def test_ordering(self): + profile = ChemistryProfile(has_nitrogen=True, has_sulfur=True, has_oxygen=True, + has_carbon=True, max_temperature=1200.0) + sets = determine_chemistry_sets(profile, False) + self.assertEqual(sets[0], ChemistrySet.PRIMARY) + self.assertLess(sets.index(ChemistrySet.NITROGEN), sets.index(ChemistrySet.SULFUR)) + + def test_full_combo(self): + profile = ChemistryProfile( + has_nitrogen=True, has_sulfur=True, has_oxygen=True, has_carbon=True, + has_halogens=True, has_electrochem=True, has_surface=True, has_liquid=True, + max_temperature=1200.0) + sets = determine_chemistry_sets(profile, True) + for expected in ChemistrySet: + self.assertIn(expected, sets) + + +class TestDetermineKineticsFamilies(unittest.TestCase): + + def test_default(self): + self.assertEqual(determine_kinetics_families(ChemistryProfile()), [FamilySet.DEFAULT]) + + def test_ch_pyrolysis(self): + self.assertIn(FamilySet.CH_PYROLYSIS, + determine_kinetics_families(ChemistryProfile(has_carbon=True, max_temperature=1000.0))) + + def test_ch_pyrolysis_low_T(self): + self.assertNotIn(FamilySet.CH_PYROLYSIS, + determine_kinetics_families(ChemistryProfile(has_carbon=True, max_temperature=500.0))) + + def test_liquid_peroxide(self): + self.assertIn(FamilySet.LIQUID_PEROXIDE, + determine_kinetics_families(ChemistryProfile(has_liquid=True, has_oxygen=True))) + + def test_surface(self): + self.assertIn(FamilySet.SURFACE, + determine_kinetics_families(ChemistryProfile(has_surface=True))) + + def test_halogens(self): + self.assertIn(FamilySet.HALOGENS, + determine_kinetics_families(ChemistryProfile(has_halogens=True))) + + def test_electrochem(self): + self.assertIn(FamilySet.ELECTROCHEM, + determine_kinetics_families(ChemistryProfile(has_electrochem=True))) + + +class TestLoadRecommendedYml(unittest.TestCase): + + def setUp(self): + self.db_dir = settings['database.directory'] + if not os.path.isfile(os.path.join(self.db_dir, 'recommended_libraries.yml')): + self.skipTest('recommended_libraries.yml not found') + + def test_loads(self): + data = load_recommended_yml(self.db_dir) + self.assertIsInstance(data, dict) + self.assertIn('primary', data) + + def test_all_chemistry_sets_present(self): + data = load_recommended_yml(self.db_dir) + for s in ChemistrySet: + self.assertIn(s.value, data) + + def test_required_keys(self): + data = load_recommended_yml(self.db_dir) + for name, entry in data.items(): + self.assertIn('thermo', entry, f'{name} missing thermo') + self.assertIn('kinetics', entry, f'{name} missing kinetics') + + def test_invalid_path(self): + with self.assertRaises(Exception): + load_recommended_yml('/nonexistent') + + +class TestExpandChemistrySets(unittest.TestCase): + + def setUp(self): + self.db_dir = settings['database.directory'] + if not os.path.isfile(os.path.join(self.db_dir, 'recommended_libraries.yml')): + self.skipTest('recommended_libraries.yml not found') + self.rec = load_recommended_yml(self.db_dir) + + def test_primary(self): + thermo, _, transport, seeds = expand_chemistry_sets(self.rec, ['primary']) + self.assertIn('primaryThermoLibrary', thermo) + self.assertIn('primaryH2O2', seeds) + self.assertIn('PrimaryTransportLibrary', transport) + + def test_nitrogen(self): + thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['nitrogen']) + self.assertIn('NH3', thermo) + self.assertIn('primaryNitrogenLibrary', kinetics) + + def test_ch_pyrolysis_core(self): + thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['CH_pyrolysis_core']) + self.assertIn('Klippenstein_Glarborg2016', thermo) + self.assertIn('C2H2_init', kinetics) + + def test_pah_formation(self): + thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['PAH_formation']) + self.assertIn('naphthalene_H', thermo) + self.assertIn('Mebel_C6H5_C2H2', kinetics) + + def test_surface_nitrogen(self): + _, kinetics, _, _ = expand_chemistry_sets(self.rec, ['surface_nitrogen']) + self.assertIn('Surface/Ammonia/Schneider_Pt111', kinetics) + self.assertIn('Surface/DOC/Nitrogen', kinetics) + + def test_no_duplicates(self): + thermo, kinetics, _, seeds = expand_chemistry_sets( + self.rec, ['primary', 'nitrogen', 'oxidation', 'CH_pyrolysis_core']) + self.assertEqual(len(thermo), len(set(thermo))) + self.assertEqual(len(kinetics), len(set(kinetics))) + + def test_primary_always_first(self): + thermo, _, _, _ = expand_chemistry_sets(self.rec, ['nitrogen', 'primary']) + self.assertEqual(thermo[0], 'primaryThermoLibrary') + + def test_all_primary_before_other(self): + primary_thermo = self.rec['primary']['thermo'] + thermo, _, _, _ = expand_chemistry_sets(self.rec, ['primary', 'oxidation', 'CH_pyrolysis_core']) + last_primary = max(thermo.index(lib) for lib in primary_thermo) + non_primary = [lib for lib in thermo if lib not in primary_thermo] + if non_primary: + first_other = min(thermo.index(lib) for lib in non_primary) + self.assertLess(last_primary, first_other) + + def test_invalid_set(self): + with self.assertRaises(Exception): + expand_chemistry_sets(self.rec, ['nonexistent']) + + def test_empty(self): + thermo, kinetics, transport, seeds = expand_chemistry_sets(self.rec, []) + self.assertEqual(thermo, []) + + +class TestMergeWithUserLibraries(unittest.TestCase): + + def test_auto_string(self): + self.assertEqual(merge_with_user_libraries('auto', ['a', 'b']), ['a', 'b']) + + def test_no_auto(self): + self.assertEqual(merge_with_user_libraries(['x', 'y'], ['a']), ['x', 'y']) + + def test_auto_middle(self): + self.assertEqual(merge_with_user_libraries(['x', 'auto', 'y'], ['a', 'b']), ['x', 'a', 'b', 'y']) + + def test_auto_start(self): + self.assertEqual(merge_with_user_libraries(['auto', 'y'], ['a', 'b']), ['a', 'b', 'y']) + + def test_auto_end(self): + self.assertEqual(merge_with_user_libraries(['x', 'auto'], ['a']), ['x', 'a']) + + def test_dedup(self): + self.assertEqual(merge_with_user_libraries(['x', 'auto'], ['x', 'a']), ['x', 'a']) + + def test_none(self): + self.assertIsNone(merge_with_user_libraries(None, ['a'])) + + def test_empty(self): + self.assertEqual(merge_with_user_libraries([], ['a']), []) + + def test_pah_stripped(self): + self.assertEqual(merge_with_user_libraries(['x', PAH_LIBS, 'auto'], ['a']), ['x', 'a']) + + def test_pah_no_auto(self): + self.assertEqual(merge_with_user_libraries(['x', PAH_LIBS], ['a']), ['x']) + + def test_auto_empty_libs(self): + self.assertEqual(merge_with_user_libraries('auto', []), []) + + +class TestToReactionLibraryTuples(unittest.TestCase): + + def test_all_false(self): + self.assertEqual(to_reaction_library_tuples(['a', 'b'], set()), [('a', False), ('b', False)]) + + def test_some_true(self): + self.assertEqual(to_reaction_library_tuples(['a', 'b', 'c'], {'b'}), [('a', False), ('b', True), ('c', False)]) + + def test_empty(self): + self.assertEqual(to_reaction_library_tuples([], set()), []) + + def test_all_true(self): + self.assertEqual(to_reaction_library_tuples(['a', 'b'], {'a', 'b'}), [('a', True), ('b', True)]) + + +class TestResolveAutoKineticsFamilies(unittest.TestCase): + + def setUp(self): + self.db_dir = settings['database.directory'] + if not os.path.isfile(os.path.join(self.db_dir, 'kinetics', 'families', 'recommended.py')): + self.skipTest('recommended.py not found') + + def test_default(self): + families = resolve_auto_kinetics_families([FamilySet.DEFAULT], self.db_dir) + self.assertIn('H_Abstraction', families) + self.assertIn('R_Recombination', families) + + def test_default_plus_surface(self): + families = resolve_auto_kinetics_families([FamilySet.DEFAULT, FamilySet.SURFACE], self.db_dir) + self.assertIn('Surface_Adsorption_Single', families) + + def test_no_duplicates(self): + families = resolve_auto_kinetics_families( + [FamilySet.DEFAULT, FamilySet.SURFACE, FamilySet.HALOGENS], self.db_dir) + self.assertEqual(len(families), len(set(families))) + + def test_invalid_set(self): + with self.assertRaises(Exception): + resolve_auto_kinetics_families(['nonexistent'], self.db_dir) + + def test_invalid_path(self): + with self.assertRaises(Exception): + resolve_auto_kinetics_families([FamilySet.DEFAULT], '/nonexistent') + + def test_returns_strings(self): + for f in resolve_auto_kinetics_families([FamilySet.DEFAULT], self.db_dir): + self.assertIsInstance(f, str) + + +class TestLogLibList(unittest.TestCase): + + def test_none(self): + with self.assertLogs(level=logging.INFO) as cm: + _log_lib_list('Test', None) + self.assertIn('(none)', cm.output[0]) + + def test_empty(self): + with self.assertLogs(level=logging.INFO) as cm: + _log_lib_list('Test', []) + self.assertIn('(none)', cm.output[0]) + + def test_short(self): + with self.assertLogs(level=logging.INFO) as cm: + _log_lib_list('Libs', ['a', 'b']) + self.assertIn('Libs (2)', cm.output[0]) + + def test_wrapping(self): + libs = [f'very_long_library_name_{i}' for i in range(10)] + with self.assertLogs(level=logging.INFO) as cm: + _log_lib_list('Libs', libs, width=60) + self.assertIn('\n', cm.output[0]) + + +class TestAutoSelectLibraries(unittest.TestCase): + + def setUp(self): + if not os.path.isfile(os.path.join(settings['database.directory'], 'recommended_libraries.yml')): + self.skipTest('recommended_libraries.yml not found') + + def test_noop_without_auto(self): + rmg = RMG() + rmg.initial_species = [Species().from_smiles('C')] + rmg.reaction_systems = [_simple_reactor(500.0)] + rmg.solvent = None + rmg.database_directory = settings['database.directory'] + rmg.thermo_libraries = ['myLib'] + rmg.reaction_libraries = ['myKinLib'] + rmg.seed_mechanisms = [] + rmg.transport_libraries = None + rmg.kinetics_families = 'default' + auto_select_libraries(rmg) + self.assertEqual(rmg.thermo_libraries, ['myLib']) + + def test_methane_oxidation(self): + rmg = _rmg_with_auto(['C', '[O][O]'], 1500.0) + auto_select_libraries(rmg) + self.assertIn('primaryThermoLibrary', rmg.thermo_libraries) + self.assertIn('FFCM1(-)', rmg.thermo_libraries) + self.assertIn('H_Abstraction', rmg.kinetics_families) + + def test_ethane_pyrolysis_includes_pah(self): + rmg = _rmg_with_auto(['CC'], 1200.0) + auto_select_libraries(rmg) + self.assertIn('naphthalene_H', rmg.thermo_libraries) + self.assertIn('Mebel_C6H5_C2H2', rmg.reaction_libraries) + + def test_ethanol_no_pah(self): + rmg = _rmg_with_auto(['CCO'], 1000.0) + auto_select_libraries(rmg) + self.assertNotIn('naphthalene_H', rmg.thermo_libraries) + self.assertIn('FFCM1(-)', rmg.thermo_libraries) + + def test_ethanol_with_pah(self): + rmg = _rmg_with_auto(['CCO'], 1000.0, pah=True) + auto_select_libraries(rmg) + self.assertIn('naphthalene_H', rmg.thermo_libraries) + + def test_families_resolved(self): + rmg = _rmg_with_auto(['C'], 500.0) + auto_select_libraries(rmg) + self.assertIsInstance(rmg.kinetics_families, list) + self.assertIn('H_Abstraction', rmg.kinetics_families) + + def test_families_auto_with_exclusion(self): + """['!H_Abstraction', 'auto'] should resolve auto families minus H_Abstraction.""" + rmg = _rmg_with_auto(['C'], 500.0) + rmg.kinetics_families = ['!H_Abstraction', AUTO] + auto_select_libraries(rmg) + self.assertIsInstance(rmg.kinetics_families, list) + self.assertNotIn('H_Abstraction', rmg.kinetics_families) + self.assertIn('R_Recombination', rmg.kinetics_families) + + def test_families_auto_with_multiple_exclusions(self): + rmg = _rmg_with_auto(['C'], 500.0) + rmg.kinetics_families = ['!H_Abstraction', '!Disproportionation', AUTO] + auto_select_libraries(rmg) + self.assertNotIn('H_Abstraction', rmg.kinetics_families) + self.assertNotIn('Disproportionation', rmg.kinetics_families) + self.assertIn('R_Recombination', rmg.kinetics_families) + + def test_families_auto_with_addition(self): + """['auto', 'MyCustomFamily'] should include auto families + the custom one.""" + rmg = _rmg_with_auto(['C'], 500.0) + rmg.kinetics_families = [AUTO, 'MyCustomFamily'] + auto_select_libraries(rmg) + self.assertIn('H_Abstraction', rmg.kinetics_families) + self.assertIn('MyCustomFamily', rmg.kinetics_families) + + def test_families_auto_with_exclusion_and_addition(self): + """['!H_Abstraction', 'auto', 'MyCustomFamily'] should work.""" + rmg = _rmg_with_auto(['C'], 500.0) + rmg.kinetics_families = ['!H_Abstraction', AUTO, 'MyCustomFamily'] + auto_select_libraries(rmg) + self.assertNotIn('H_Abstraction', rmg.kinetics_families) + self.assertIn('R_Recombination', rmg.kinetics_families) + self.assertIn('MyCustomFamily', rmg.kinetics_families) + + +class TestEndToEnd(unittest.TestCase): + + def test_methane_oxidation(self): + species = [Species().from_smiles('C'), Species().from_smiles('[O][O]')] + profile = detect_chemistry(species, [_simple_reactor(1500.0)], solvent=None) + sets = determine_chemistry_sets(profile, False) + self.assertIn(ChemistrySet.OXIDATION, sets) + self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE, sets) + self.assertNotIn(ChemistrySet.PAH_FORMATION, sets) + + def test_ethane_pyrolysis(self): + species = [Species().from_smiles('CC')] + profile = detect_chemistry(species, [_simple_reactor(1200.0)], solvent=None) + sets = determine_chemistry_sets(profile, False) + self.assertIn(ChemistrySet.PAH_FORMATION, sets) + self.assertNotIn(ChemistrySet.OXIDATION, sets) + + def test_liquid_pentane_oxidation(self): + species = [Species().from_smiles('CCCCC'), Species().from_smiles('[O][O]')] + profile = detect_chemistry(species, [_liquid_reactor(400.0)], solvent='pentane') + sets = determine_chemistry_sets(profile, False) + self.assertIn(ChemistrySet.LIQUID_OXIDATION, sets) + self.assertIn(FamilySet.LIQUID_PEROXIDE, determine_kinetics_families(profile)) + + def test_nitrogen_sulfur(self): + species = [Species().from_smiles('N'), Species().from_smiles('S')] + profile = detect_chemistry(species, [_simple_reactor(500.0)], solvent=None) + sets = determine_chemistry_sets(profile, False) + self.assertIn(ChemistrySet.NITROGEN, sets) + self.assertIn(ChemistrySet.SULFUR, sets) + self.assertNotIn(ChemistrySet.OXIDATION, sets) + + def test_inert_with_nitrogen(self): + species = [Species().from_smiles('[Ar]'), Species().from_smiles('N#N')] + profile = detect_chemistry(species, [_simple_reactor(300.0)], solvent=None) + sets = determine_chemistry_sets(profile, False) + self.assertEqual(sets, [ChemistrySet.PRIMARY, ChemistrySet.NITROGEN]) + + def test_oxyfuel_with_inert_bath_gas(self): + """ + Formic acid (OC=O) with non-reactive N2 bath gas at 1000 K. + N2 is inert so nitrogen should NOT be triggered. + Oxygen is in the fuel so oxidation + CH_pyrolysis_core should trigger. + PAH_formation should NOT trigger (oxygen present, no ). + """ + formic_acid = Species().from_smiles('OC=O') + n2_bath = Species(reactive=False).from_smiles('N#N') + profile = detect_chemistry([formic_acid, n2_bath], [_simple_reactor(1000.0)], solvent=None) + self.assertTrue(profile.has_oxygen) + self.assertTrue(profile.has_carbon) + self.assertFalse(profile.has_nitrogen) # N2 is non-reactive, should be ignored + sets = determine_chemistry_sets(profile, pah_libs_requested=False) + self.assertIn(ChemistrySet.PRIMARY, sets) + self.assertIn(ChemistrySet.OXIDATION, sets) + self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE, sets) + self.assertNotIn(ChemistrySet.PAH_FORMATION, sets) + self.assertNotIn(ChemistrySet.NITROGEN, sets) + + +if __name__ == '__main__': + unittest.main() From cc03c73f631ec12e9d17be96b6071c77b0d8e9fd Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 02:24:46 +0300 Subject: [PATCH 346/700] Updated input and main for auto DB --- rmgpy/rmg/input.py | 60 +++++++++++++++++++++++++++++++++++++++------- rmgpy/rmg/main.py | 11 +++++++++ 2 files changed, 62 insertions(+), 9 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index f4780e28433..887c0f9eab8 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -63,6 +63,7 @@ TerminationRateRatio, TerminationTime, ) +from rmgpy.data.auto_database import AUTO, PAH_LIBS from rmgpy.util import as_list ################################################################################ @@ -86,14 +87,55 @@ def database( # We don't actually load the database until after we're finished reading # the input file rmg.database_directory = settings['database.directory'] - rmg.thermo_libraries = as_list(thermoLibraries, default=[]) - rmg.transport_libraries = as_list(transportLibraries, default=None) - # Modify reaction library list such that all entries are tuples - reaction_libraries = as_list(reactionLibraries, default=[]) - rmg.reaction_libraries = [(name, False) if not isinstance(name, tuple) else name for name in reaction_libraries] + # Handle 'auto' token: pass through for later resolution by auto_select_libraries(). + # '' is only valid as a token inside a list, not as a standalone value. + for field_name, field_val in [('thermoLibraries', thermoLibraries), + ('transportLibraries', transportLibraries), + ('reactionLibraries', reactionLibraries), + ('seedMechanisms', seedMechanisms)]: + if field_val == PAH_LIBS: + raise InputError(f"'{PAH_LIBS}' cannot be used as a standalone value for {field_name}. " + f"Use it as a token inside a list, e.g. ['{AUTO}', '{PAH_LIBS}'].") + + if thermoLibraries == AUTO: + rmg.thermo_libraries = AUTO + else: + rmg.thermo_libraries = as_list(thermoLibraries, default=[]) + + if transportLibraries == AUTO: + rmg.transport_libraries = AUTO + else: + rmg.transport_libraries = as_list(transportLibraries, default=None) + + # Store reaction libraries as plain strings; remember which ones had True option + # (the bool indicates "also output unused edge reactions to chemkin file") + if reactionLibraries == AUTO: + rmg.reaction_libraries = AUTO + rmg.reaction_libraries_output_edge = set() + else: + reaction_libraries = as_list(reactionLibraries, default=[]) + rmg.reaction_libraries = [] + rmg.reaction_libraries_output_edge = set() + for item in reaction_libraries: + if isinstance(item, tuple): + name, option = item + if name == PAH_LIBS: + raise InputError(f"'{PAH_LIBS}' cannot be used as a tuple entry in reactionLibraries. " + f"Use it as a plain string token, e.g. ['{AUTO}', '{PAH_LIBS}'].") + rmg.reaction_libraries.append(name) + if option: + rmg.reaction_libraries_output_edge.add(name) + elif item in (AUTO, PAH_LIBS): + rmg.reaction_libraries.append(item) + else: + rmg.reaction_libraries.append(item) + + if seedMechanisms == AUTO: + rmg.seed_mechanisms = AUTO + else: + rmg.seed_mechanisms = as_list(seedMechanisms, default=[]) - rmg.seed_mechanisms = as_list(seedMechanisms, default=[]) rmg.statmech_libraries = as_list(frequenciesLibraries, default=[]) rmg.kinetics_estimator = kineticsEstimator @@ -107,12 +149,12 @@ def database( "['training','PrIMe'].") rmg.kinetics_depositories = kineticsDepositories - if kineticsFamilies in ('default', 'all', 'none'): + if kineticsFamilies in ('default', 'all', 'none', 'auto'): rmg.kinetics_families = kineticsFamilies else: if not isinstance(kineticsFamilies, list): - raise InputError("kineticsFamilies should be either 'default', 'all', 'none', or a list of names eg. " - "['H_Abstraction','R_Recombination'] or ['!Intra_Disproportionation'].") + raise InputError("kineticsFamilies should be either 'default', 'all', 'none', 'auto', or a list of names " + "eg. ['H_Abstraction','R_Recombination'] or ['!Intra_Disproportionation'].") rmg.kinetics_families = kineticsFamilies rmg.adsorption_groups = adsorptionGroups diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 3ce2ce41202..a5854c26cca 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -55,6 +55,7 @@ from rmgpy import settings from rmgpy.chemkin import ChemkinWriter from rmgpy.constraints import fails_species_constraints +from rmgpy.data.auto_database import auto_select_libraries, to_reaction_library_tuples from rmgpy.data.base import Entry from rmgpy.data.kinetics.library import KineticsLibrary from rmgpy.data.rmg import RMGDatabase @@ -183,6 +184,7 @@ def clear(self): self.thermo_libraries = None self.transport_libraries = None self.reaction_libraries = None + self.reaction_libraries_output_edge = set() self.statmech_libraries = None self.seed_mechanisms = None self.kinetics_families = None @@ -565,6 +567,15 @@ def initialize(self, **kwargs): ) ) + # Auto-select libraries if any field uses 'auto' or '' + auto_select_libraries(self) + + # Convert reaction libraries from plain strings to (name, bool) tuples + # (the bool controls whether unused edge reactions are written to the chemkin output) + if isinstance(self.reaction_libraries, list): + output_edge = getattr(self, 'reaction_libraries_output_edge', set()) + self.reaction_libraries = to_reaction_library_tuples(self.reaction_libraries, output_edge) + # Load databases self.load_database() From d9fc8bf011d4ac0e58894257b9e3d10f4b8204f0 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 02:34:56 +0300 Subject: [PATCH 347/700] Tests: input --- test/rmgpy/rmg/inputTest.py | 115 ++++++++++++++++++++++++++++++++---- 1 file changed, 103 insertions(+), 12 deletions(-) diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py index 00160d974b9..f9b083822aa 100644 --- a/test/rmgpy/rmg/inputTest.py +++ b/test/rmgpy/rmg/inputTest.py @@ -30,6 +30,7 @@ from unittest.mock import patch import rmgpy.rmg.input as inp +from rmgpy.exceptions import InputError from rmgpy.rmg.main import RMG from rmgpy.rmg.model import CoreEdgeReactionModel from rmgpy.ml.estimator import ADMONITION @@ -66,33 +67,123 @@ def teardown_class(self): def test_importing_database_reaction_libraries_from_string(self): """ - Test that we can import Reaction Libraries using the non-tuple form. + Test that reaction libraries given as plain strings are stored as strings. """ global rmg - # add database properties to RMG inp.database(reactionLibraries=["test"]) - assert isinstance(rmg.reaction_libraries[0], tuple) - assert not rmg.reaction_libraries[0][1] + assert rmg.reaction_libraries == ["test"] + assert "test" not in rmg.reaction_libraries_output_edge def test_importing_database_reaction_libraries_from_false_tuple(self): """ - Test that we can import Reaction Libraries using the Tuple False form. + Test that (name, False) tuples are stored as plain strings without output_edge. """ global rmg - # add database properties to RMG inp.database(reactionLibraries=[("test", False)]) - assert isinstance(rmg.reaction_libraries[0], tuple) - assert not rmg.reaction_libraries[0][1] + assert rmg.reaction_libraries == ["test"] + assert "test" not in rmg.reaction_libraries_output_edge def test_importing_database_reaction_libraries_from_true_tuple(self): """ - Test that we can import Reaction Libraries using the Tuple True form. + Test that (name, True) tuples are stored as plain strings with the name in output_edge. """ global rmg - # add database properties to RMG inp.database(reactionLibraries=[("test", True)]) - assert isinstance(rmg.reaction_libraries[0], tuple) - assert rmg.reaction_libraries[0][1] + assert rmg.reaction_libraries == ["test"] + assert "test" in rmg.reaction_libraries_output_edge + +class TestInputDatabaseAutoSelection: + """Tests for 'auto' and '' token handling in database().""" + + def test_thermo_auto_string(self): + global rmg + inp.database(thermoLibraries='auto') + assert rmg.thermo_libraries == 'auto' + + def test_thermo_auto_in_list(self): + global rmg + inp.database(thermoLibraries=['myLib', 'auto']) + assert rmg.thermo_libraries == ['myLib', 'auto'] + + def test_thermo_pah_libs_in_list(self): + global rmg + inp.database(thermoLibraries=['auto', '']) + assert rmg.thermo_libraries == ['auto', ''] + + def test_transport_auto_string(self): + global rmg + inp.database(transportLibraries='auto') + assert rmg.transport_libraries == 'auto' + + def test_reaction_libraries_auto_string(self): + global rmg + inp.database(reactionLibraries='auto') + assert rmg.reaction_libraries == 'auto' + + def test_reaction_libraries_auto_in_list(self): + global rmg + inp.database(reactionLibraries=['auto', '']) + assert 'auto' in rmg.reaction_libraries + assert '' in rmg.reaction_libraries + + def test_reaction_libraries_mixed_auto_and_tuple(self): + global rmg + inp.database(reactionLibraries=[('myLib', True), 'auto']) + assert rmg.reaction_libraries == ['myLib', 'auto'] + assert 'myLib' in rmg.reaction_libraries_output_edge + + def test_seed_mechanisms_auto(self): + global rmg + inp.database(seedMechanisms='auto') + assert rmg.seed_mechanisms == 'auto' + + def test_kinetics_families_auto(self): + global rmg + inp.database(kineticsFamilies='auto') + assert rmg.kinetics_families == 'auto' + + def test_kinetics_families_auto_with_exclusion(self): + global rmg + inp.database(kineticsFamilies=['!H_Abstraction', 'auto']) + assert rmg.kinetics_families == ['!H_Abstraction', 'auto'] + + def test_default_no_auto(self): + """Without 'auto', fields should behave as before.""" + global rmg + inp.database( + thermoLibraries=['primaryThermoLibrary'], + reactionLibraries=[('lib1', False)], + seedMechanisms=[], + transportLibraries=None, + kineticsFamilies='default', + ) + assert rmg.thermo_libraries == ['primaryThermoLibrary'] + assert rmg.reaction_libraries == ['lib1'] + assert 'lib1' not in rmg.reaction_libraries_output_edge + assert rmg.seed_mechanisms == [] + assert rmg.transport_libraries is None + assert rmg.kinetics_families == 'default' + + def test_pah_libs_standalone_thermo_raises(self): + with pytest.raises(InputError): + inp.database(thermoLibraries='') + + def test_pah_libs_standalone_reaction_raises(self): + with pytest.raises(InputError): + inp.database(reactionLibraries='') + + def test_pah_libs_standalone_transport_raises(self): + with pytest.raises(InputError): + inp.database(transportLibraries='') + + def test_pah_libs_standalone_seeds_raises(self): + with pytest.raises(InputError): + inp.database(seedMechanisms='') + + def test_pah_libs_tuple_in_reaction_libs_raises(self): + with pytest.raises(InputError): + inp.database(reactionLibraries=[('', True)]) + @pytest.mark.skip(reason=ADMONITION) class TestInputMLEstimator: From 0494225dd988e9bf7936ff5a8cabe743c0fbe10b Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 02:34:37 +0300 Subject: [PATCH 348/700] Added a jupyter notebook for users to test our the auto-DB feature on their input files --- ipython/auto_library_selection.ipynb | 526 +++++++++++++++++++++++++++ 1 file changed, 526 insertions(+) create mode 100644 ipython/auto_library_selection.ipynb diff --git a/ipython/auto_library_selection.ipynb b/ipython/auto_library_selection.ipynb new file mode 100644 index 00000000000..0b8556c1f97 --- /dev/null +++ b/ipython/auto_library_selection.ipynb @@ -0,0 +1,526 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "uak48ywvas", + "metadata": {}, + "source": [ + "# Auto Library & Family Selection Preview\n", + "\n", + "Preview what RMG's `'auto'` mode would select for thermo libraries, kinetics libraries,\n", + "transport libraries, seed mechanisms, and kinetics families — given an RMG input file.\n", + "\n", + "Just set `input_file_path` below and run all cells." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5vx9v43udjl", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:49.811977Z", + "iopub.status.busy": "2026-04-25T04:32:49.811860Z", + "iopub.status.idle": "2026-04-25T04:32:49.816013Z", + "shell.execute_reply": "2026-04-25T04:32:49.815710Z" + } + }, + "outputs": [], + "source": [ + "input_file_path = '../examples/rmg/superminimal_auto/input.py'" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "vyt4k7q9as", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:49.816811Z", + "iopub.status.busy": "2026-04-25T04:32:49.816708Z", + "iopub.status.idle": "2026-04-25T04:32:50.620762Z", + "shell.execute_reply": "2026-04-25T04:32:50.620468Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Generate Output HTML option was turned on. Note that this will slow down model generation.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Edge species saving was turned on. This will slow down model generation for large simulations.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Input file: /home/alon/Code/RMG-Py/examples/rmg/superminimal_auto/input.py\n", + "Species: ['H2', 'O2']\n", + "Reactors: 1\n", + "Solvent: (none)\n", + "\n", + "Current database() settings (before auto-selection):\n", + " thermoLibraries: auto\n", + " reactionLibraries: auto\n", + " seedMechanisms: auto\n", + " transportLibraries: auto\n", + " kineticsFamilies: auto\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "from rmgpy.rmg.main import RMG\n", + "from rmgpy.rmg.input import read_input_file\n", + "from rmgpy.data.auto_database import (\n", + " AUTO,\n", + " detect_chemistry,\n", + " determine_chemistry_sets,\n", + " determine_kinetics_families,\n", + " expand_chemistry_sets,\n", + " load_recommended_yml,\n", + " merge_with_user_libraries,\n", + " resolve_auto_kinetics_families,\n", + " _has_pah_libs_keyword,\n", + ")\n", + "\n", + "# Load the input file into an RMG object (without loading the database)\n", + "rmg = RMG()\n", + "read_input_file(os.path.expanduser(input_file_path), rmg)\n", + "\n", + "print(f'Input file: {os.path.abspath(input_file_path)}')\n", + "print(f'Species: {[spec.label or spec.molecule[0].to_smiles() for spec in rmg.initial_species]}')\n", + "print(f'Reactors: {len(rmg.reaction_systems)}')\n", + "print(f'Solvent: {rmg.solvent or \"(none)\"}')\n", + "print()\n", + "print('Current database() settings (before auto-selection):')\n", + "print(f' thermoLibraries: {rmg.thermo_libraries}')\n", + "print(f' reactionLibraries: {rmg.reaction_libraries}')\n", + "print(f' seedMechanisms: {rmg.seed_mechanisms}')\n", + "print(f' transportLibraries: {rmg.transport_libraries}')\n", + "print(f' kineticsFamilies: {rmg.kinetics_families}')" + ] + }, + { + "cell_type": "markdown", + "id": "if94i2lxggr", + "metadata": {}, + "source": [ + "## Chemistry Detection\n", + "\n", + "Analyze the input species and reactor conditions to determine what chemistry is present." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "grunflwiug8", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:50.621758Z", + "iopub.status.busy": "2026-04-25T04:32:50.621629Z", + "iopub.status.idle": "2026-04-25T04:32:50.623782Z", + "shell.execute_reply": "2026-04-25T04:32:50.623588Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Elements: H/O\n", + "Max T: 1000 K\n", + "Nitrogen: False\n", + "Sulfur: False\n", + "Oxygen: True\n", + "Carbon: False\n", + "Halogens: False\n", + "Electrochem: False\n", + "Surface: False\n", + "Liquid: False\n", + ": False\n" + ] + } + ], + "source": [ + "profile = detect_chemistry(rmg.initial_species, rmg.reaction_systems, rmg.solvent)\n", + "pah_libs_requested = _has_pah_libs_keyword(rmg)\n", + "\n", + "print(f'Elements: {\"/\".join(sorted(profile.elements_present))}')\n", + "print(f'Max T: {profile.max_temperature:.0f} K')\n", + "print(f'Nitrogen: {profile.has_nitrogen}')\n", + "print(f'Sulfur: {profile.has_sulfur}')\n", + "print(f'Oxygen: {profile.has_oxygen}')\n", + "print(f'Carbon: {profile.has_carbon}')\n", + "print(f'Halogens: {profile.has_halogens}')\n", + "print(f'Electrochem: {profile.has_electrochem}')\n", + "print(f'Surface: {profile.has_surface}')\n", + "print(f'Liquid: {profile.has_liquid}')\n", + "print(f': {pah_libs_requested}')" + ] + }, + { + "cell_type": "markdown", + "id": "k9r657hlttp", + "metadata": {}, + "source": [ + "## Triggered Chemistry Sets & Kinetics Family Sets\n", + "\n", + "Which named sets from `recommended_libraries.yml` and `recommended.py` would be activated." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "fkjvg12kwkj", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:50.624558Z", + "iopub.status.busy": "2026-04-25T04:32:50.624482Z", + "iopub.status.idle": "2026-04-25T04:32:50.626227Z", + "shell.execute_reply": "2026-04-25T04:32:50.626049Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Chemistry sets (for thermo/kinetics/transport/seed libraries):\n", + " - primary\n", + " - oxidation\n", + "\n", + "Kinetics family sets:\n", + " - default\n" + ] + } + ], + "source": [ + "chem_sets = determine_chemistry_sets(profile, pah_libs_requested)\n", + "family_sets = determine_kinetics_families(profile)\n", + "\n", + "print('Chemistry sets (for thermo/kinetics/transport/seed libraries):')\n", + "for s in chem_sets:\n", + " print(f' - {s.value}')\n", + "print()\n", + "print('Kinetics family sets:')\n", + "for s in family_sets:\n", + " print(f' - {s.value}')" + ] + }, + { + "cell_type": "markdown", + "id": "ldplsa4l6wa", + "metadata": {}, + "source": [ + "## What `'auto'` Would Select\n", + "\n", + "The libraries and families that RMG would use if all fields were set to `'auto'`.\n", + "This always shows the auto-selected result, regardless of what the input file currently specifies." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "87ac142mi0b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:50.626965Z", + "iopub.status.busy": "2026-04-25T04:32:50.626895Z", + "iopub.status.idle": "2026-04-25T04:32:50.636227Z", + "shell.execute_reply": "2026-04-25T04:32:50.636038Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Thermo libraries (9):\n", + " primaryThermoLibrary\n", + " BurkeH2O2\n", + " Spiekermann_refining_elementary_reactions\n", + " thermo_DFT_CCSDTF12_BAC\n", + " DFT_QCI_thermo\n", + " CBS_QB3_1dHR\n", + " FFCM1(-)\n", + " FormicAcid\n", + " NOx2018\n", + "\n", + "Reaction libraries (4):\n", + " FormicAcid\n", + " FFCM1(-)\n", + " NOx2018\n", + " 2005_Senosiain_OH_C2H2\n", + "\n", + "Seed mechanisms (1):\n", + " primaryH2O2\n", + "\n", + "Transport libraries (4):\n", + " PrimaryTransportLibrary\n", + " OneDMinN2\n", + " NOx2018\n", + " GRI-Mech\n", + "\n", + "Kinetics families (51):\n", + " 1,2_shiftC\n", + " H_Abstraction\n", + " intra_NO2_ONO_conversion\n", + " intra_H_migration\n", + " 1,3_Insertion_CO2\n", + " Cyclic_Ether_Formation\n", + " Disproportionation\n", + " 1,2_NH3_elimination\n", + " 1,3_Insertion_RSR\n", + " 1+2_Cycloaddition\n", + " intra_substitutionCS_cyclization\n", + " Cyclopentadiene_scission\n", + " HO2_Elimination_from_PeroxyRadical\n", + " 1,3_NH3_elimination\n", + " intra_substitutionS_isomerization\n", + " Birad_R_Recombination\n", + " Diels_alder_addition\n", + " R_Recombination\n", + " 1,4_Cyclic_birad_scission\n", + " Intra_Disproportionation\n", + " R_Addition_COm\n", + " Intra_R_Add_Exo_scission\n", + " intra_substitutionS_cyclization\n", + " Retroene\n", + " R_Addition_MultipleBond\n", + " intra_OH_migration\n", + " CO_Disproportionation\n", + " 2+2_cycloaddition\n", + " Ketoenol\n", + " intra_substitutionCS_isomerization\n", + " 1,2-Birad_to_alkene\n", + " Intra_2+2_cycloaddition_Cd\n", + " Concerted_Intra_Diels_alder_monocyclic_1,2_shiftH\n", + " Birad_recombination\n", + " 1,3_Insertion_ROR\n", + " Cyclic_Thioether_Formation\n", + " Intra_R_Add_Endocyclic\n", + " 1,2_Insertion_CO\n", + " Singlet_Carbene_Intra_Disproportionation\n", + " 1,4_Linear_birad_scission\n", + " Intra_5_membered_conjugated_C=C_C=C_addition\n", + " 1,2_shiftS\n", + " Intra_R_Add_Exocyclic\n", + " Intra_Retro_Diels_alder_bicyclic\n", + " 1,3_sigmatropic_rearrangement\n", + " Intra_ene_reaction\n", + " Diels_alder_addition_Aromatic\n", + " Intra_Diels_alder_monocyclic\n", + " 6_membered_central_C-C_shift\n", + " Singlet_Val6_to_triplet\n", + " 1,2_Insertion_carbene\n" + ] + } + ], + "source": [ + "recommended_data = load_recommended_yml(rmg.database_directory)\n", + "auto_thermo, auto_kinetics, auto_transport, auto_seeds = expand_chemistry_sets(\n", + " recommended_data, chem_sets\n", + ")\n", + "auto_families = resolve_auto_kinetics_families(family_sets, rmg.database_directory)\n", + "\n", + "def print_list(label, items):\n", + " items = items or []\n", + " print(f'\\n{label} ({len(items)}):')\n", + " for item in items:\n", + " print(f' {item}')\n", + "\n", + "print_list('Thermo libraries', auto_thermo)\n", + "print_list('Reaction libraries', auto_kinetics)\n", + "print_list('Seed mechanisms', auto_seeds)\n", + "print_list('Transport libraries', auto_transport)\n", + "print_list('Kinetics families', auto_families)" + ] + }, + { + "cell_type": "markdown", + "id": "w3ocgmc0ils", + "metadata": {}, + "source": [ + "## Actual Resolution of the Current Input File\n", + "\n", + "Processes the input file's `database()` settings as RMG would at startup.\n", + "If the input file uses `'auto'`, `''`, or `['!family', 'auto']`,\n", + "you'll see the resolved result. If it uses manual library lists, they pass through unchanged." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "eft98a4ciwl", + "metadata": { + "execution": { + "iopub.execute_input": "2026-04-25T04:32:50.636983Z", + "iopub.status.busy": "2026-04-25T04:32:50.636912Z", + "iopub.status.idle": "2026-04-25T04:32:50.647876Z", + "shell.execute_reply": "2026-04-25T04:32:50.647691Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Thermo libraries (9):\n", + " primaryThermoLibrary\n", + " BurkeH2O2\n", + " Spiekermann_refining_elementary_reactions\n", + " thermo_DFT_CCSDTF12_BAC\n", + " DFT_QCI_thermo\n", + " CBS_QB3_1dHR\n", + " FFCM1(-)\n", + " FormicAcid\n", + " NOx2018\n", + "\n", + "Reaction libraries (4):\n", + " FormicAcid\n", + " FFCM1(-)\n", + " NOx2018\n", + " 2005_Senosiain_OH_C2H2\n", + "\n", + "Seed mechanisms (1):\n", + " primaryH2O2\n", + "\n", + "Transport libraries (4):\n", + " PrimaryTransportLibrary\n", + " OneDMinN2\n", + " NOx2018\n", + " GRI-Mech\n", + "\n", + "Kinetics families (51):\n", + " 1,2_shiftC\n", + " H_Abstraction\n", + " intra_NO2_ONO_conversion\n", + " intra_H_migration\n", + " 1,3_Insertion_CO2\n", + " Cyclic_Ether_Formation\n", + " Disproportionation\n", + " 1,2_NH3_elimination\n", + " 1,3_Insertion_RSR\n", + " 1+2_Cycloaddition\n", + " intra_substitutionCS_cyclization\n", + " Cyclopentadiene_scission\n", + " HO2_Elimination_from_PeroxyRadical\n", + " 1,3_NH3_elimination\n", + " intra_substitutionS_isomerization\n", + " Birad_R_Recombination\n", + " Diels_alder_addition\n", + " R_Recombination\n", + " 1,4_Cyclic_birad_scission\n", + " Intra_Disproportionation\n", + " R_Addition_COm\n", + " Intra_R_Add_Exo_scission\n", + " intra_substitutionS_cyclization\n", + " Retroene\n", + " R_Addition_MultipleBond\n", + " intra_OH_migration\n", + " CO_Disproportionation\n", + " 2+2_cycloaddition\n", + " Ketoenol\n", + " intra_substitutionCS_isomerization\n", + " 1,2-Birad_to_alkene\n", + " Intra_2+2_cycloaddition_Cd\n", + " Concerted_Intra_Diels_alder_monocyclic_1,2_shiftH\n", + " Birad_recombination\n", + " 1,3_Insertion_ROR\n", + " Cyclic_Thioether_Formation\n", + " Intra_R_Add_Endocyclic\n", + " 1,2_Insertion_CO\n", + " Singlet_Carbene_Intra_Disproportionation\n", + " 1,4_Linear_birad_scission\n", + " Intra_5_membered_conjugated_C=C_C=C_addition\n", + " 1,2_shiftS\n", + " Intra_R_Add_Exocyclic\n", + " Intra_Retro_Diels_alder_bicyclic\n", + " 1,3_sigmatropic_rearrangement\n", + " Intra_ene_reaction\n", + " Diels_alder_addition_Aromatic\n", + " Intra_Diels_alder_monocyclic\n", + " 6_membered_central_C-C_shift\n", + " Singlet_Val6_to_triplet\n", + " 1,2_Insertion_carbene\n" + ] + } + ], + "source": [ + "from rmgpy.data.auto_database import auto_select_libraries, PAH_LIBS, to_reaction_library_tuples\n", + "\n", + "# Work on a fresh copy so we don't mutate the rmg object used above\n", + "import copy\n", + "rmg2 = copy.deepcopy(rmg)\n", + "\n", + "# Run the same auto-selection that main.py would run\n", + "auto_select_libraries(rmg2)\n", + "\n", + "# Convert reaction libraries to tuples (as main.py does before load_database)\n", + "if isinstance(rmg2.reaction_libraries, list):\n", + " output_edge = getattr(rmg2, 'reaction_libraries_output_edge', set())\n", + " rmg2.reaction_libraries = to_reaction_library_tuples(rmg2.reaction_libraries, output_edge)\n", + "\n", + "has_auto = any(\n", + " getattr(rmg, attr, None) == 'auto'\n", + " or (isinstance(getattr(rmg, attr, None), list) and 'auto' in getattr(rmg, attr))\n", + " for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms',\n", + " 'transport_libraries', 'kinetics_families')\n", + ")\n", + "\n", + "if not has_auto:\n", + " print('The input file does not use \\'auto\\' in any database field.')\n", + " print('The settings below are exactly what was specified in the input file.\\n')\n", + "\n", + "print_list('Thermo libraries', rmg2.thermo_libraries)\n", + "\n", + "rxn_lib_names = [name for name, _ in rmg2.reaction_libraries] if isinstance(rmg2.reaction_libraries, list) else rmg2.reaction_libraries\n", + "print_list('Reaction libraries', rxn_lib_names or [])\n", + "\n", + "edge_libs = [name for name, flag in rmg2.reaction_libraries if flag] if isinstance(rmg2.reaction_libraries, list) else []\n", + "if edge_libs:\n", + " print(f'\\n (output unused edge reactions for: {\", \".join(edge_libs)})')\n", + "\n", + "print_list('Seed mechanisms', rmg2.seed_mechanisms or [])\n", + "print_list('Transport libraries', rmg2.transport_libraries or [])\n", + "\n", + "if isinstance(rmg2.kinetics_families, list):\n", + " print_list('Kinetics families', rmg2.kinetics_families)\n", + "else:\n", + " print(f'\\nKinetics families: {rmg2.kinetics_families!r} (resolved at database load time)')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.23" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c36f9d1c68bef3c690003bcb0036065874ad441d Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 28 Mar 2026 02:42:44 +0300 Subject: [PATCH 349/700] Docs: explain the auto-db feature --- documentation/source/users/rmg/input.rst | 85 ++++++++++++++++++++++-- 1 file changed, 80 insertions(+), 5 deletions(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 3ab4c844cfc..40663fc8d4b 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -204,17 +204,92 @@ The last section is specifying that RMG is estimating kinetics of reactions from kineticsEstimator = 'rate rules' -The following is an example of a database block, based on above chosen libraries and options:: +.. _auto_library_selection: + +Automatic Library and Family Selection +-------------------------------------- +Instead of manually listing every library, you can let RMG choose the appropriate +thermo libraries, kinetics libraries, transport libraries, seed mechanisms, and +kinetics families automatically based on the species and reactor conditions in your +input file. Use the ``'auto'`` keyword in any library field:: database( - thermoLibraries = ['primaryThermoLibrary', 'GRI-Mech3.0'], - reactionLibraries = [('Glarborg/C3',False)], - seedMechanisms = ['GRI-Mech3.0'], + thermoLibraries = 'auto', + reactionLibraries = 'auto', + transportLibraries = 'auto', + seedMechanisms = 'auto', + kineticsFamilies = 'auto', kineticsDepositories = ['training'], - kineticsFamilies = 'defult', kineticsEstimator = 'rate rules', ) +When ``'auto'`` is specified, RMG analyzes the initial species and reactor +conditions to detect the chemistry present (e.g., nitrogen, sulfur, oxygen, +halogens, surface, liquid phase) and selects the relevant library sets. +The triggered sets and their corresponding libraries are logged at the start +of the RMG run. + +.. note:: + Non-reactive species (those declared with ``reactive=False``, such as bath + gases) are skipped during chemistry detection and will not trigger any + chemistry sets on their own. For example, using N\ :sub:`2` purely as a + bath gas will not pull in the nitrogen library — the nitrogen set is + triggered only when a reactive species containing nitrogen is present. + +**Mixing manual and auto selection.** You can combine user-specified libraries +with ``'auto'`` in a list. The position of ``'auto'`` controls the priority: +libraries before it have higher priority, libraries after it have lower:: + + thermoLibraries = ['myCustomLib', 'auto'] + + thermoLibraries = ['auto', 'myFallbackLib'] + +If a library you listed manually also appears in the auto-selected set, it will +not be added twice. It keeps the position you gave it, and the auto-selected +copy is skipped. + +**PAH libraries and the ```` keyword.** +The auto-selection splits high-temperature C/H chemistry into two tiers: + +* **CH_pyrolysis_core** — fundamental high-T radical and small-molecule chemistry + (e.g., acetylene initiation, alkane cracking). Always included when carbon is + present and the maximum reactor temperature is at least 800 K. +* **PAH_formation** — aromatic ring formation, naphthalene pathways (CPD + HACA), + and larger PAH growth. This is a large set (~70 kinetics libraries) that can + significantly increase model size and generation time. + +For **pure C/H pyrolysis** (no oxygen in any input species), both tiers are +included automatically — PAH formation is expected in such systems. + +For **oxygenated systems** (any species contains O, including oxygenated fuels +like ethanol or DME), only CH_pyrolysis_core is included by default because +PAH chemistry is typically a minor pathway. If you know your system forms +significant amounts of aromatics (e.g., fuel-rich partial oxidation), you can +explicitly request the PAH libraries by adding the ``''`` keyword +to any library field:: + + database( + thermoLibraries = ['auto', ''], + reactionLibraries = ['auto', ''], + seedMechanisms = 'auto', + transportLibraries = 'auto', + kineticsFamilies = 'auto', + ) + +The ``''`` keyword is consumed during processing (it does not appear +in the final library list) — it only serves as a signal to include the +PAH_formation set. It can be placed anywhere in the list; its position does +not affect library priority. + +**Previewing the selection.** A Jupyter notebook is provided at +:file:`ipython/auto_library_selection.ipynb` that lets you preview exactly which +libraries and families RMG would choose for a given input file, without running +the full job. + +.. note:: + The ``'auto'`` keyword is opt-in. If you do not use it you must list every library explicitly. + + .. _species_list: List of species From 23b17194a101a49bcc4170bc5c74feb1fca02470 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 25 Apr 2026 07:32:45 +0300 Subject: [PATCH 350/700] Added a superminimal "auto-db" example --- examples/rmg/superminimal_auto/input.py | 58 +++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100644 examples/rmg/superminimal_auto/input.py diff --git a/examples/rmg/superminimal_auto/input.py b/examples/rmg/superminimal_auto/input.py new file mode 100644 index 00000000000..d310eeb4bfc --- /dev/null +++ b/examples/rmg/superminimal_auto/input.py @@ -0,0 +1,58 @@ +# Same chemistry as the ``superminimal`` example (H2/O2 at 1000 K), but with +# every database field set to ``'auto'`` so RMG selects libraries, seed +# mechanisms, transport data, and kinetics families automatically based on +# the species and reactor conditions. +database( + thermoLibraries = 'auto', + reactionLibraries = 'auto', + seedMechanisms = 'auto', + transportLibraries = 'auto', + kineticsFamilies = 'auto', + kineticsDepositories = ['training'], + kineticsEstimator = 'rate rules', +) + +# List of species +species( + label='H2', + reactive=True, + structure=SMILES("[H][H]"), +) +species( + label='O2', + reactive=True, + structure=SMILES("[O][O]"), +) + +# Reaction systems +simpleReactor( + temperature=(1000,'K'), + pressure=(1.0,'bar'), + initialMoleFractions={ + 'H2':.67, 'O2':.33, + }, + terminationConversion={ + 'H2': 0.9, + }, + terminationTime=(1e6,'s'), +) + +simulator( + atol=1e-16, + rtol=1e-8, +) + +model( + toleranceKeepInEdge=0.0, + toleranceMoveToCore=0.001, + toleranceInterruptSimulation=0.001, + maximumEdgeSpecies=100000, +) + +options( + units='si', + generateOutputHTML=True, + generatePlots=False, + saveEdgeSpecies=True, + saveSimulationProfiles=True, +) From dc028c062eeb7077c469ec0055e30280fc24a5be Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 9 Apr 2026 14:07:54 -0400 Subject: [PATCH 351/700] RDKit `GetSSSR` Non-determinism Fix Goal of this PR is to resolve: https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2912 The RDKit `GetSSSR` algorithm _is_ deterministic for the same input (unlike the previous RMG version) __but__ the process of converting the RMG molecule into RDKit does _not_ guarantee the same ordering of atoms, which results in non-determinism. This PR forces the RDKit molecule to have a consistent ordering, and should (hopefully) give the same results each time. To test this, we just need to run the regression tests multiple times on the same reference results (so, on the same day, without any changes to `main`). The results should be different from the `main` results, but in the same way. --- rmgpy/molecule/molecule.py | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index a5d54a11d34..d3604ecad9e 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2685,7 +2685,24 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): if symmetrized: ring_info = Chem.GetSymmSSSR(rdkit_mol) else: - ring_info = Chem.GetSSSR(rdkit_mol) + # Force deterministic SSSR by canonicalizing the atom numbering first. + # This prevents RDKit's arbitrary graph traversal from selecting + # different sets of equivalent rings across different runs/platforms. + ranks = list(Chem.CanonicalRankAtoms(rdkit_mol, breakTies=True)) + rank_to_idx = {rank: idx for idx, rank in enumerate(ranks)} + + # new_order maps the new atom index to the original atom index + new_order = [rank_to_idx[i] for i in range(rdkit_mol.GetNumAtoms())] + + canonical_mol = Chem.RenumberAtoms(rdkit_mol, new_order) + canonical_rings = Chem.GetSSSR(canonical_mol) + + # Map the resulting ring indices back to the original rdkit_mol numbering + ring_info = [] + for ring in canonical_rings: + orig_ring = tuple([new_order[idx] for idx in ring]) + ring_info.append(orig_ring) + for ring in ring_info: atom_ring = [self.atoms[idx] for idx in ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) From 35e2986d459b35b4ab99c583174690d80cf1e4a5 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 9 Apr 2026 14:26:09 -0400 Subject: [PATCH 352/700] fix test collection failure --- rmgpy/molecule/molecule.py | 1 + 1 file changed, 1 insertion(+) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index d3604ecad9e..67ef943a41b 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2695,6 +2695,7 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): new_order = [rank_to_idx[i] for i in range(rdkit_mol.GetNumAtoms())] canonical_mol = Chem.RenumberAtoms(rdkit_mol, new_order) + canonical_mol.UpdatePropertyCache(strict=False) canonical_rings = Chem.GetSSSR(canonical_mol) # Map the resulting ring indices back to the original rdkit_mol numbering From 609e867e46c045e5b44ee812d635c8d28e329e1e Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 9 Apr 2026 16:25:50 -0400 Subject: [PATCH 353/700] reorder property cache update --- rmgpy/molecule/molecule.py | 32 +++++++++++--------------------- 1 file changed, 11 insertions(+), 21 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 67ef943a41b..1d4f4752e42 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -2681,31 +2681,21 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): return_mapping=False, save_order=True, ignore_bond_orders=True) - + rdkit_mol.UpdatePropertyCache(strict=False) + ranks = list(Chem.CanonicalRankAtoms(rdkit_mol, breakTies=True)) + rank_to_idx = {rank: idx for idx, rank in enumerate(ranks)} + new_order = [rank_to_idx[i] for i in range(rdkit_mol.GetNumAtoms())] + canonical_mol = Chem.RenumberAtoms(rdkit_mol, new_order) if symmetrized: - ring_info = Chem.GetSymmSSSR(rdkit_mol) + ring_info = Chem.GetSymmSSSR(canonical_mol) else: - # Force deterministic SSSR by canonicalizing the atom numbering first. - # This prevents RDKit's arbitrary graph traversal from selecting - # different sets of equivalent rings across different runs/platforms. - ranks = list(Chem.CanonicalRankAtoms(rdkit_mol, breakTies=True)) - rank_to_idx = {rank: idx for idx, rank in enumerate(ranks)} - - # new_order maps the new atom index to the original atom index - new_order = [rank_to_idx[i] for i in range(rdkit_mol.GetNumAtoms())] - - canonical_mol = Chem.RenumberAtoms(rdkit_mol, new_order) - canonical_mol.UpdatePropertyCache(strict=False) - canonical_rings = Chem.GetSSSR(canonical_mol) - - # Map the resulting ring indices back to the original rdkit_mol numbering - ring_info = [] - for ring in canonical_rings: - orig_ring = tuple([new_order[idx] for idx in ring]) - ring_info.append(orig_ring) + ring_info = Chem.GetSSSR(canonical_mol) for ring in ring_info: - atom_ring = [self.atoms[idx] for idx in ring] + # Map the new canonical indices back to the original RMG atom indices + original_idx_ring = [new_order[idx] for idx in ring] + atom_ring = [self.atoms[idx] for idx in original_idx_ring] + sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) if symmetrized: From a0dbb44ecb741b392ecffb00ea98d26e6e3e2693 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 13 Apr 2026 18:07:53 -0400 Subject: [PATCH 354/700] update expected atom ordering in test --- test/rmgpy/molecule/moleculeTest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 43c4b4e33a3..2c3896148de 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3172,8 +3172,8 @@ def test_get_all_polycyclic_vertices(self): """) polycyclic_vertices = mol.get_all_polycyclic_vertices() assert len(polycyclic_vertices) == 2 - assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[0] - assert mol.atoms[1] is mol.get_all_polycyclic_vertices()[1] + assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[1] + assert mol.atoms[1] is mol.get_all_polycyclic_vertices()[0] # Spirocyclic molecule mol = Molecule().from_adjacency_list(""" From 1d7fcd4f56218154542a20245bb4588226838e36 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 13 Apr 2026 19:57:16 -0400 Subject: [PATCH 355/700] uncertainty uses recorded std dev for SIDT nodes Up until now the uncertainty tool has assumed the kinetics trees are the original hand-built type. This enables the uncertainty tool to grab the calculated standard deviation and number of training reactions from the specific autogen tree node used, instead of incorrectly treating it as an exact match of a single rate rule with a std dev of 0.5 --- rmgpy/data/kinetics/family.py | 9 +++-- rmgpy/tools/uncertainty.py | 62 +++++++++++++++++++++++------ test/rmgpy/tools/uncertaintyTest.py | 3 +- 3 files changed, 57 insertions(+), 17 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 441e57fce13..0b43a7134cd 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4440,8 +4440,9 @@ def extract_source_from_comments(self, reaction): [Family_Label, {'template': originalTemplate, 'degeneracy': degeneracy, 'exact': boolean_exact?, - 'rules': a list of (original rate rule entry, weight in average) - 'training': a list of (original rate rule entry associated with training entry, original training entry, weight in average)}] + 'rules': a list of (original rate rule entry, weight in average), + 'training': a list of (original rate rule entry associated with training entry, original training entry, weight in average), + 'autogenerated': boolean for whether kinetics come from autogenerated subgraph isomorphic decision tree}] where Exact is a boolean of whether the rate is an exact match, Template is @@ -4455,6 +4456,7 @@ def extract_source_from_comments(self, reaction): rules = None training_entries = None degeneracy = 1 + autogenerated = False training_reaction_pattern = r'Matched reaction\s*(\d+).*in.*training' degeneracy_pattern = r'Multiplied by reaction path degeneracy\s*(\d+)' @@ -4494,6 +4496,7 @@ def extract_source_from_comments(self, reaction): autogen_node_matches = re.search(autogen_node_search_pattern, full_comment_string) template_matches = re.search(template_pattern, full_comment_string) if autogen_node_matches is not None: # autogenerated trees + autogenerated = True template_str = autogen_node_matches.group(1).split('Multiplied by reaction path degeneracy')[0].strip() template_str = template_str.split('in family')[0].strip() tokens = template_str.split() @@ -4510,7 +4513,7 @@ def extract_source_from_comments(self, reaction): raise ValueError(f'Could not find rate rule in comments for reaction {reaction}.') rules, training_entries = self.get_sources_for_template(template) source_dict = {'template': template, 'degeneracy': degeneracy, 'exact': exact_rule, - 'rules': rules, 'training': training_entries} + 'rules': rules, 'training': training_entries, 'autogenerated': autogenerated} # Source of the kinetics is from rate rules return False, [self.label, source_dict] diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index de9669dc0c5..cb97cb563ce 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -28,6 +28,7 @@ ############################################################################### import os +import re import numpy as np @@ -165,19 +166,35 @@ def get_uncertainty_value(self, source): dlnk += self.dlnk_family ** 2 N = len(rule_weights) + len(training_weights) - if not exact: - # nonexactness contribution increases as N increases + if 'node_std_dev' in source_dict: + # Handle autogen BM trees + if source_dict['node_std_dev'] < 0: + raise ValueError('Invalid value for std dev of kinetics family rule node') + dlnk += source_dict['node_std_dev'] + if source_dict['node_n_train'] is None: + raise ValueError('Invalid number of training reactions for kinetics family rule node') + N = source_dict['node_n_train'] + + # Technically every lookup in the autogenerated trees is an "exact" match because + # every node template has its own fitted rate rule by definition, but here we use the + # number of training reactions as an approximation of the node's specificity/generality + # and add a penalty for being too general (large # of training reactions) dlnk += np.log10(N + 1) * self.dlnk_nonexact + else: + # Handle hand-made trees + if not exact: + # nonexactness contribution increases as N increases + dlnk += np.log10(N + 1) * self.dlnk_nonexact - # Add the contributions from rules - dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights]) - # Add the contributions from training - # Even though these source from training reactions, we actually - # use the uncertainty for rate rules, since these are now approximations - # of the original reaction. We consider these to be independent of original the training - # parameters because the rate rules may be reversing the training reactions, - # which leads to more complicated dependence - dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights]) + # Add the contributions from rules + dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights]) + # Add the contributions from training + # Even though these source from training reactions, we actually + # use the uncertainty for rate rules, since these are now approximations + # of the original reaction. We consider these to be independent of original the training + # parameters because the rate rules may be reversing the training reactions, + # which leads to more complicated dependence + dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights]) return dlnk @@ -413,8 +430,27 @@ def extract_sources_from_model(self): # Do nothing here because training source already saves the entry from the training reaction pass elif 'Rate Rules' in source: - # Do nothing - pass + # Fetch standard deviation if autogenerated tree + if source['Rate Rules'][1]['autogenerated']: + std_dev = 1.329 # Default value is uniform distribution with upper bound of 10x the nominal value + n_train = None + try: + # try to look up the node variance in the rule data's uncertainty object + std_dev = np.sqrt(source['Rate Rules'][1]['rules'][0][0].data.uncertainty.var) + n_train = int(source['Rate Rules'][1]['rules'][0][0].data.uncertainty.N) + except AttributeError: + # fall back on the standard deviation reported in the long description of the rule + # this is the absolute average deviation and not the standard deviation of the node, but it is still probably better than the default + # note, we'd need abs(mu) to be able to convert back to std_dev from absolute average deviation, which is why we're not doing it here + long_desc = source['Rate Rules'][1]['rules'][0][0].long_desc + std_dev_matches = re.search(r'Standard Deviation in ln\(k\): ([0-9]*.[0-9]*)', long_desc) + if std_dev_matches is not None: + std_dev = float(std_dev_matches[1]) + n_train_matches = re.search('rule fitted to ([0-9]*) training reactions', long_desc) + if n_train_matches is not None: + n_train = int(n_train_matches[1]) + source['Rate Rules'][1]['node_std_dev'] = std_dev + source['Rate Rules'][1]['node_n_train'] = n_train else: raise Exception('Source of kinetics must be either Library, PDep, Training, or Rate Rules') self.reaction_sources_dict[reaction] = source diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 0005609e8cb..85f10ca5a54 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -174,6 +174,7 @@ def test_uncertainty_assignment(self): ) np.testing.assert_allclose( kinetic_unc, - [0.5, 1.5, 3.169924, 3.169924, 2.553605, 0.5, 2.0, 2.553605, 2.553605, 0.5], + # the 7.81 value comes from the SIDT tree node uncertainty: 5.756 + non-exact penalty for N=1: log10(1+1) * 3.5 + family uncertainty: 1.0 + [0.5, 1.5, 3.169924, 3.169924, 2.553605, 0.5, 2.0, 7.81, 7.81, 0.5], rtol=1e-4 ) From f8cc66e04980e539d020ec56a54a8f5650dc830a Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 12 Apr 2026 01:01:16 -0400 Subject: [PATCH 356/700] update loader tool to include surface mech paths --- rmgpy/tools/loader.py | 7 +++++-- rmgpy/tools/uncertainty.py | 5 +++-- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/rmgpy/tools/loader.py b/rmgpy/tools/loader.py index de7546ed489..481d506fabb 100644 --- a/rmgpy/tools/loader.py +++ b/rmgpy/tools/loader.py @@ -50,6 +50,7 @@ def load_rmg_job( use_java=False, use_chemkin_names=False, check_duplicates=True, + surface_path=None, ): # The argument is an RMG-Py input file rmg = load_rmg_py_job( @@ -59,13 +60,14 @@ def load_rmg_job( generate_images, use_chemkin_names=use_chemkin_names, check_duplicates=check_duplicates, + surface_path=surface_path, ) return rmg def load_rmg_py_job(input_file, chemkin_file=None, species_dict=None, generate_images=True, - use_chemkin_names=False, check_duplicates=True): + use_chemkin_names=False, check_duplicates=True, surface_path=None): """ Load the results of an RMG-Py job generated from the given `input_file`. """ @@ -83,7 +85,8 @@ def load_rmg_py_job(input_file, chemkin_file=None, species_dict=None, generate_i species_dict = os.path.join(os.path.dirname(input_file), 'chemkin', 'species_dictionary.txt') species_list, reaction_list = load_chemkin_file(chemkin_file, species_dict, use_chemkin_names=use_chemkin_names, - check_duplicates=check_duplicates) + check_duplicates=check_duplicates, + surface_path=surface_path) # Created "observed" versions of all reactive species that are not explicitly # identified as "constant" species diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index cb97cb563ce..2cb1624c706 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -336,7 +336,7 @@ def load_database(self, kinetics_families='all', kinetics_depositories=None, the family.add_rules_from_training(thermo_database=self.database.thermo) family.fill_rules_by_averaging_up(verbose=True) - def load_model(self, chemkin_path, dictionary_path, transport_path=None): + def load_model(self, chemkin_path, dictionary_path, transport_path=None, surface_path=None): """ Load a RMG-generated model into the Uncertainty class `chemkin_path`: path to the chem_annotated.inp CHEMKIN mechanism @@ -351,7 +351,8 @@ def load_model(self, chemkin_path, dictionary_path, transport_path=None): self.species_list, self.reaction_list = load_chemkin_file(chemkin_path, dictionary_path=dictionary_path, - transport_path=transport_path) + transport_path=transport_path, + surface_path=surface_path) def retrieve_saturated_species_from_list(self, species): """ From 8b33d32f3512353bc657850864b73235b57c2e8d Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 12 Apr 2026 01:51:26 -0400 Subject: [PATCH 357/700] add uncertainty handling of surface libs and ads correction --- rmgpy/data/thermo.py | 40 +++++- rmgpy/tools/uncertainty.py | 190 ++++++++++++++++++++++++---- test/rmgpy/tools/uncertaintyTest.py | 4 +- 3 files changed, 204 insertions(+), 30 deletions(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index f6d15f702b9..2ab242de81b 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -2724,7 +2724,8 @@ def extract_source_from_comments(self, species): source = {'Library': String_Name_of_Library_Used, 'QM': String_of_Method_Used, - 'GAV': Dictionary_of_Groups_Used + 'GAV': Dictionary_of_Groups_Used, + 'ADS': Dictionary_of_Adsorption_Group_Used, } The Dictionary_of_Groups_Used looks like @@ -2743,9 +2744,44 @@ def extract_source_from_comments(self, species): # Store the level of the calculation, which is the 2nd token in the comments source['QM'] = tokens[1] + elif comment.startswith('Gas phase thermo'): + # Handle adsorption correction thermo data of the following format: + # Library example + # Gas phase thermo for C(T) from Thermo library: primaryThermoLibrary. + # Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(Cq*) + + # GAV example + # Gas phase thermo for [CH]CC from Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ2_triplet). + # Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C=*RCR3)" + + comment = comment.replace(r'\n', ' ') + comment = comment.replace('\n', ' ') + if 'Adsorption correction:' not in comment: + raise ValueError(f'adsorption correction in unrecognized format {comment}') + + # Handle the gas-phase portion first + gas_comment = comment.split('Adsorption correction: + ')[0].strip() + if gas_comment.endswith('.'): + gas_comment = gas_comment[:-1] # delete the . at the end if it exists + gas_comment = gas_comment[gas_comment.find('from ', len('Gas phase thermo for ')) + len('from '):] + dummy_gas_phase_species = Species() + dummy_gas_phase_species.thermo = NASA() + dummy_gas_phase_species.thermo.comment = gas_comment + source = self.extract_source_from_comments(dummy_gas_phase_species) + + # This is an adsorption correction + # comment is split into two parts: the gas phase, and the surface adsorption correction + ads_correction_comment = comment.split('Adsorption correction: +')[-1].strip() + dummy_adsorption_correction_species = Species() + dummy_adsorption_correction_species.thermo = NASA() + dummy_adsorption_correction_species.thermo.comment = ads_correction_comment + source['ADS'] = self.extract_source_from_comments(dummy_adsorption_correction_species)['GAV'] + + return source + # Check for group additivity contributions to the thermo in this species - # The contribution of the groups can be either additive or substracting + # The contribution of the groups can be either additive or subtracting # after changes to the polycyclic algorithm comment = comment.replace(' + ', ' +') diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 2cb1624c706..32e2b763f01 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -43,7 +43,7 @@ class ThermoParameterUncertainty(object): This class is an engine that generates the species uncertainty based on its thermo sources. """ - def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.10): + def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.1, dG_ADS_correction=6.918, dG_surf_lib=6.918): """ Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values in units of kcal/mol. @@ -55,6 +55,8 @@ def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.10): self.dG_QM = dG_QM self.dG_GAV = dG_GAV self.dG_group = dG_group + self.dG_ADS_correction = dG_ADS_correction + self.dG_surf_lib = dG_surf_lib def get_uncertainty_value(self, source): """ @@ -63,6 +65,8 @@ def get_uncertainty_value(self, source): dG = 0.0 if 'Library' in source: dG += self.dG_library + if 'Surface_Library' in source: + dG += self.dG_surf_lib if 'QM' in source: dG += self.dG_QM if 'GAV' in source: @@ -70,6 +74,8 @@ def get_uncertainty_value(self, source): for group_type, group_entries in source['GAV'].items(): group_weights = [groupTuple[-1] for groupTuple in group_entries] dG += np.sum([weight * self.dG_group for weight in group_weights]) + if 'ADS' in source: + dG += self.dG_ADS_correction # Add adsorption correction uncertainty return dG @@ -78,7 +84,7 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non Obtain the partial uncertainty dG/dG_corr*dG_corr, where dG_corr is the correlated parameter `corr_param` is the parameter identifier itself, which is a integer for QM and library parameters, or a string for group values - `corr_source_type` is a string, being either 'Library', 'QM', 'GAV', or 'Estimation' + `corr_source_type` is a string, being either 'Library', 'QM', 'GAV', 'ADS', or 'Estimation' `corr_group_type` is a string used only when the source type is 'GAV' and indicates grouptype """ @@ -88,12 +94,26 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non # Correlated parameter is a source of the overall parameter return self.dG_library + elif corr_source_type == 'Surface_Library': + if 'Surface_Library' in source: + if source['Surface_Library'] == corr_param: + # Correlated parameter is a source of the overall parameter + return self.dG_surf_lib + elif corr_source_type == 'QM': if 'QM' in source: if source['QM'] == corr_param: # Correlated parameter is a source of the overall parameter return self.dG_QM + elif corr_source_type == 'ADS': + if 'ADS' in source: + if corr_group_type in source['ADS']: + group_list = source['ADS'][corr_group_type] + for group, weight in group_list: # there should be only one group entry for adsorption corrections + if group == corr_param: + return weight * self.dG_ADS_correction + elif corr_source_type == 'GAV': if 'GAV' in source: if corr_group_type in source['GAV']: @@ -105,8 +125,9 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non elif corr_source_type == 'Estimation': if 'GAV' in source: return self.dG_GAV + else: - raise Exception('Thermo correlated source must be GAV, QM, Library, or Estimation') + raise Exception('Thermo correlated source must be GAV, QM, Library, Surface_Library, ADS, or Estimation') # If we get here, it means the correlated parameter was not found return None @@ -127,7 +148,7 @@ class KineticParameterUncertainty(object): """ def __init__(self, dlnk_library=0.5, dlnk_training=0.5, dlnk_pdep=2.0, dlnk_family=1.0, dlnk_nonexact=3.5, - dlnk_rule=0.5): + dlnk_rule=0.5, dlnk_surf_library=2.659, dlnk_surf_training=2.659, dlnk_surf_rule=2.659): """ Initialize the different uncertainties dlnk @@ -140,6 +161,9 @@ def __init__(self, dlnk_library=0.5, dlnk_training=0.5, dlnk_pdep=2.0, dlnk_fami self.dlnk_family = dlnk_family self.dlnk_nonexact = dlnk_nonexact self.dlnk_rule = dlnk_rule + self.dlnk_surf_library = dlnk_surf_library + self.dlnk_surf_training = dlnk_surf_training + self.dlnk_surf_rule = dlnk_surf_rule def get_uncertainty_value(self, source): """ @@ -149,6 +173,9 @@ def get_uncertainty_value(self, source): if 'Library' in source: # Should be a single library reaction source dlnk += self.dlnk_library + elif 'Surface_Library' in source: + # Should be a single library reaction source + dlnk += self.dlnk_surf_library elif 'PDep' in source: # Should be a single pdep reaction source dlnk += self.dlnk_pdep @@ -156,7 +183,10 @@ def get_uncertainty_value(self, source): # Should be a single training reaction # Although some training entries may be used in reverse, # We still consider the kinetics to be directly dependent - dlnk += self.dlnk_training + if 'surface' in source['Training'][0].lower(): + dlnk += self.dlnk_surf_training + else: + dlnk += self.dlnk_training elif 'Rate Rules' in source: family_label = source['Rate Rules'][0] source_dict = source['Rate Rules'][1] @@ -164,7 +194,8 @@ def get_uncertainty_value(self, source): rule_weights = [ruleTuple[-1] for ruleTuple in source_dict['rules']] training_weights = [trainingTuple[-1] for trainingTuple in source_dict['training']] - dlnk += self.dlnk_family ** 2 + dlnk += self.dlnk_family + N = len(rule_weights) + len(training_weights) if 'node_std_dev' in source_dict: # Handle autogen BM trees @@ -186,15 +217,19 @@ def get_uncertainty_value(self, source): # nonexactness contribution increases as N increases dlnk += np.log10(N + 1) * self.dlnk_nonexact - # Add the contributions from rules - dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights]) - # Add the contributions from training - # Even though these source from training reactions, we actually - # use the uncertainty for rate rules, since these are now approximations - # of the original reaction. We consider these to be independent of original the training - # parameters because the rate rules may be reversing the training reactions, - # which leads to more complicated dependence - dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights]) + if 'surface' in family_label.lower(): + dlnk += np.sum([weight * self.dlnk_surf_rule for weight in rule_weights]) + dlnk += np.sum([weight * self.dlnk_surf_training for weight in training_weights]) + else: + # Add the contributions from rules + dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights]) + # Add the contributions from training + # Even though these source from training reactions, we actually + # use the uncertainty for rate rules, since these are now approximations + # of the original reaction. We consider these to be independent of original the training + # parameters because the rate rules may be reversing the training reactions, + # which leads to more complicated dependence + dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights]) return dlnk @@ -211,17 +246,24 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non if 'Rate Rules' in source: family_label = source['Rate Rules'][0] if corr_family == family_label: + surface_family = 'surface' in family_label.lower() source_dict = source['Rate Rules'][1] rules = source_dict['rules'] training = source_dict['training'] if rules: for ruleEntry, weight in rules: if corr_param == ruleEntry: - return weight * self.dlnk_rule + if surface_family: + return weight * self.dlnk_surf_rule + else: + return weight * self.dlnk_rule if training: for ruleEntry, trainingEntry, weight in training: if corr_param == ruleEntry: - return weight * self.dlnk_rule + if surface_family: + return weight * self.dlnk_surf_rule + else: + return weight * self.dlnk_rule # Writing it this way in the function is not the most efficient, but makes it easy to use, and # testing a few if statements is not too costly @@ -230,6 +272,11 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non if corr_param == source['Library']: # Should be a single library reaction source return self.dlnk_library + elif corr_source_type == 'Surface_Library': + if 'Surface_Library' in source: + if corr_param == source['Surface_Library']: + # Should be a single library reaction source + return self.dlnk_surf_library elif corr_source_type == 'PDep': if 'PDep' in source: if corr_param == source['PDep']: @@ -238,7 +285,10 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non if 'Training' in source: # Should be a unique single training reaction if corr_param == source['Training']: - return self.dlnk_training + if 'surface' in source['Training'][0].lower(): + return self.dlnk_surf_training + else: + return self.dlnk_training elif corr_source_type == 'Estimation': # Return all the uncorrelated uncertainty associated with using an estimation scheme @@ -247,7 +297,9 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non source_dict = source['Rate Rules'][1] exact = source_dict['exact'] + family_label = source['Rate Rules'][0] dlnk = self.dlnk_family # Base uncorrelated uncertainty just from using rate rule estimation + # Additional uncertainty from using non-exact rate rule N = len(source_dict['rules']) + len(source_dict['training']) if not exact: @@ -371,6 +423,7 @@ def retrieve_saturated_species_from_list(self, species): # couldn't find saturated species in the model, try libraries new_spc = Species(molecule=[saturated_struct]) + new_spc.generate_resonance_structures() thermo = self.database.thermo.get_thermo_data_from_libraries(new_spc) if thermo is not None: @@ -386,24 +439,72 @@ def extract_sources_from_model(self): Must be done after loading model and database to work. """ self.species_sources_dict = {} + self.extra_species = [] for species in self.species_list: if species not in self.extra_species: source = self.database.thermo.extract_source_from_comments(species) + assert source.keys() <= {'Library', 'QM', 'GAV', 'ADS'}, 'Source of thermo must be either Library, QM, GAV, or ADS' # Now prep the source data # Do not alter the GAV information, but reassign QM and Library sources to the species indices that they came from + # Also specify the source as a Surface Library (if it has surface sites and comes from a library), for better differentiation when assigning uncertainties if len(source) == 1: # The thermo came from a single source, so we know it comes from a value describing the exact species if 'Library' in source: # Use just the species index in self.species_list, for better shorter printouts when debugging source['Library'] = self.species_list.index(species) + if species.contains_surface_site(): + source['Surface_Library'] = source.pop('Library') if 'QM' in source: source['QM'] = self.species_list.index(species) elif len(source) == 2: - # The thermo has two sources, which indicates it's an HBI correction on top of a library or QM value. - # We must retrieve the original saturated molecule's thermo instead of using the radical species as the source of thermo - saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(species) + # The thermo has two sources, which indicates it's an HBI correction on top of a library or QM value... + # OR it is an adsorption correction with gas-phase thermo from Library/QM/GAV (no need to edit GAV source) + if 'ADS' in source: + # Need to retrieve the gas-phase molecule that the adsorption correction was applied to, and assign the source of the thermo to be that molecule instead of the surface species + if not species.contains_surface_site(): + raise ValueError('Species uses adsorption correction but does not contain any surface sites') + dummy_gas_species = Species() + dummy_gas_species.molecule = species.molecule[0].get_desorbed_molecules() + # add to species list if it's not already there, so we can reference it in the source dictionary + for spc in self.species_list: + if spc.is_isomorphic(dummy_gas_species): + dummy_gas_species = spc + break + else: + dummy_gas_species.thermo = self.database.thermo.get_thermo_data(dummy_gas_species) + self.species_list.append(dummy_gas_species) + self.extra_species.append(dummy_gas_species) + + if 'Library' in source: + # Use just the species index in self.species_list, for better shorter printouts when debugging + source['Library'] = self.species_list.index(dummy_gas_species) + if 'QM' in source: + source['QM'] = self.species_list.index(dummy_gas_species) + else: + # We must retrieve the original saturated molecule's thermo instead of using the radical species as the source of thermo + saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(species) + + if ignore_spc: # this is saturated species that isn't in the actual model + self.extra_species.append(saturated_species) + + if 'Library' in source: + source['Library'] = self.species_list.index(saturated_species) + + if saturated_species.contains_surface_site(): + source['Surface_Library'] = source.pop('Library') # surface species library + radical correction + if 'QM' in source: + source['QM'] = self.species_list.index(saturated_species) + elif len(source) == 3: + # combination of adsorption correction, GAV (radical), and Library/ML + + assert species.contains_surface_site(), 'only surface species should have 3 sources: adsorption correction, GAV, library/ML' + + # retrieve the desorbed version of the surface species-- the thing the adsorption correction was applied to during thermo estimation + dummy_gas_species = Species() + dummy_gas_species.molecule = species.molecule[0].get_desorbed_molecules() + saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(dummy_gas_species) if ignore_spc: # this is saturated species that isn't in the actual model self.extra_species.append(saturated_species) @@ -413,18 +514,20 @@ def extract_sources_from_model(self): if 'QM' in source: source['QM'] = self.species_list.index(saturated_species) else: - raise Exception('Source of thermo should not use more than two sources out of QM, Library, or GAV.') + raise Exception('Source of thermo should not use more than three sources out of ADS, QM, Library, or GAV.') self.species_sources_dict[species] = source self.reaction_sources_dict = {} for reaction in self.reaction_list: source = self.database.kinetics.extract_source_from_comments(reaction) - # Prep the source data + # Prep the source data # Consider any library or PDep reaction to be an independent parameter for now # and assign the source to the index of the reaction within self.reaction_list if 'Library' in source: source['Library'] = self.reaction_list.index(reaction) + if reaction.is_surface_reaction(): + source['Surface_Library'] = source.pop('Library') elif 'PDep' in source: source['PDep'] = self.reaction_list.index(reaction) elif 'Training' in source: @@ -444,7 +547,8 @@ def extract_sources_from_model(self): # this is the absolute average deviation and not the standard deviation of the node, but it is still probably better than the default # note, we'd need abs(mu) to be able to convert back to std_dev from absolute average deviation, which is why we're not doing it here long_desc = source['Rate Rules'][1]['rules'][0][0].long_desc - std_dev_matches = re.search(r'Standard Deviation in ln\(k\): ([0-9]*.[0-9]*)', long_desc) + # This search string handles scientific notation or regular float with optional + or - sign + std_dev_matches = re.search(r'Standard Deviation in ln\(k\): ([-+]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][-+]?\d+)?)', long_desc) if std_dev_matches is not None: std_dev = float(std_dev_matches[1]) n_train_matches = re.search('rule fitted to ([0-9]*) training reactions', long_desc) @@ -465,7 +569,7 @@ def compile_all_sources(self): be performed after extract_sources_from_model function """ # Account for all the thermo sources - all_thermo_sources = {'GAV': {}, 'Library': set(), 'QM': set()} + all_thermo_sources = {'GAV': {}, 'Library': set(), 'QM': set(), 'ADS': {}, 'Surface_Library': set()} for source in self.species_sources_dict.values(): if 'GAV' in source: for groupType in source['GAV'].keys(): @@ -478,6 +582,15 @@ def compile_all_sources(self): all_thermo_sources['Library'].add(source['Library']) if 'QM' in source: all_thermo_sources['QM'].add(source['QM']) + if 'ADS' in source: + for ads_group in source['ADS'].keys(): + ads_group_entries = [groupTuple[0] for groupTuple in source['ADS'][ads_group]] + if ads_group not in all_thermo_sources['ADS']: + all_thermo_sources['ADS'][ads_group] = set(ads_group_entries) + else: + all_thermo_sources['ADS'][ads_group].update(ads_group_entries) + if 'Surface_Library' in source: + all_thermo_sources['Surface_Library'].add(source['Surface_Library']) # Convert to lists self.all_thermo_sources = {} @@ -486,9 +599,13 @@ def compile_all_sources(self): self.all_thermo_sources['GAV'] = {} for groupType in all_thermo_sources['GAV'].keys(): self.all_thermo_sources['GAV'][groupType] = list(all_thermo_sources['GAV'][groupType]) + self.all_thermo_sources['ADS'] = {} + for ads_group in all_thermo_sources['ADS'].keys(): + self.all_thermo_sources['ADS'][ads_group] = list(all_thermo_sources['ADS'][ads_group]) + self.all_thermo_sources['Surface_Library'] = list(all_thermo_sources['Surface_Library']) # Account for all the kinetics sources - all_kinetic_sources = {'Rate Rules': {}, 'Training': {}, 'Library': [], 'PDep': []} + all_kinetic_sources = {'Rate Rules': {}, 'Training': {}, 'Library': [], 'PDep': [], 'Surface_Library': []} for source in self.reaction_sources_dict.values(): if 'Training' in source: family_label = source['Training'][0] @@ -499,6 +616,8 @@ def compile_all_sources(self): all_kinetic_sources['Training'][family_label].add(training_entry) elif 'Library' in source: all_kinetic_sources['Library'].append(source['Library']) + elif 'Surface_Library' in source: + all_kinetic_sources['Surface_Library'].append(source['Surface_Library']) elif 'PDep' in source: all_kinetic_sources['PDep'].append(source['PDep']) elif 'Rate Rules' in source: @@ -523,6 +642,7 @@ def compile_all_sources(self): self.all_kinetic_sources = {} self.all_kinetic_sources['Library'] = all_kinetic_sources['Library'] + self.all_kinetic_sources['Surface_Library'] = all_kinetic_sources['Surface_Library'] self.all_kinetic_sources['PDep'] = all_kinetic_sources['PDep'] # Convert to lists self.all_kinetic_sources['Rate Rules'] = {} @@ -559,10 +679,23 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non except IndexError: label = 'Library {}'.format(self.extra_species[source['Library'] - len(self.species_list)].to_chemkin()) dG[label] = pdG + if 'Surface_Library' in source: + pdG = g_param_engine.get_partial_uncertainty_value(source, 'Surface_Library', corr_param=source['Surface_Library']) + try: + label = 'Surface_Library {}'.format(self.species_list[source['Surface_Library']].to_chemkin()) + except IndexError: + label = 'Surface_Library {}'.format(self.extra_species[source['Surface_Library'] - len(self.species_list)].to_chemkin()) + dG[label] = pdG if 'QM' in source: pdG = g_param_engine.get_partial_uncertainty_value(source, 'QM', corr_param=source['QM']) label = 'QM {}'.format(self.species_list[source['QM']].to_chemkin()) dG[label] = pdG + if 'ADS' in source: + for adsGroupType, groupList in source['ADS'].items(): + for group, weight in groupList: + pdG = g_param_engine.get_partial_uncertainty_value(source, 'ADS', group, adsGroupType) + label = 'AdsorptionGroup({}) {}'.format(adsGroupType, group.label) + dG[label] = pdG if 'GAV' in source: for groupType, groupList in source['GAV'].items(): for group, weight in groupList: @@ -616,6 +749,11 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non label = 'Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) dlnk[label] = dplnk + elif 'Surface_Library' in source: + dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Surface_Library', source['Surface_Library']) + label = 'Surface_Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnk[label] = dplnk + elif 'Training' in source: dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Training', source['Training']) family = source['Training'][0] diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 85f10ca5a54..44f16f85486 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -127,7 +127,7 @@ def test_uncertainty_assignment(self): "RCCJ", } other_expected = {"ketene", "R"} - assert set(self.uncertainty.all_thermo_sources) == {"GAV", "Library", "QM"} + assert set(self.uncertainty.all_thermo_sources) == {"GAV", "Library", "QM", "ADS", "Surface_Library"} assert set(self.uncertainty.all_thermo_sources["GAV"]) == {"group", "radical", "other"} grp = set([e.label for e in self.uncertainty.all_thermo_sources["GAV"]["group"]]) rad = set([e.label for e in self.uncertainty.all_thermo_sources["GAV"]["radical"]]) @@ -151,7 +151,7 @@ def test_uncertainty_assignment(self): 'C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O', 'C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', } - assert set(self.uncertainty.all_kinetic_sources) == {"Rate Rules", "Training", "Library", "PDep"} + assert set(self.uncertainty.all_kinetic_sources) == {"Rate Rules", "Training", "Library", "PDep", "Surface_Library"} assert set(self.uncertainty.all_kinetic_sources["Rate Rules"].keys()) == {"Disproportionation", "H_Abstraction"} rr = set([e.label for e in self.uncertainty.all_kinetic_sources["Rate Rules"]["Disproportionation"]]) assert rr == Disproportionation_rr_expected From ace6c0855ccfe5d1311a1d9ed844eda64a1e0b21 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 13 Apr 2026 12:13:17 -0400 Subject: [PATCH 358/700] fix uncertainty whitespace/linting errors --- rmgpy/tools/uncertainty.py | 32 +++++++++++++++++--------------- 1 file changed, 17 insertions(+), 15 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 32e2b763f01..4321b679db5 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -47,7 +47,7 @@ def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.1, dG_ADS_c """ Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values in units of kcal/mol. - + We expect a uniform distribution for some species free energy G in [Gmin, Gmax]. dG = (Gmax-Gmin)/2 """ @@ -82,7 +82,7 @@ def get_uncertainty_value(self, source): def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_group_type=None): """ Obtain the partial uncertainty dG/dG_corr*dG_corr, where dG_corr is the correlated parameter - + `corr_param` is the parameter identifier itself, which is a integer for QM and library parameters, or a string for group values `corr_source_type` is a string, being either 'Library', 'QM', 'GAV', 'ADS', or 'Estimation' `corr_group_type` is a string used only when the source type is 'GAV' and indicates grouptype @@ -135,11 +135,12 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non def get_uncertainty_factor(self, source): """ Retrieve the uncertainty factor f in kcal/mol when the source of the thermo of a species is given. - + This is equivalent to sqrt(3)*dG in a uniform uncertainty interval """ dG = self.get_uncertainty_value(source) f = np.sqrt(3) * dG + return f class KineticParameterUncertainty(object): @@ -151,7 +152,7 @@ def __init__(self, dlnk_library=0.5, dlnk_training=0.5, dlnk_pdep=2.0, dlnk_fami dlnk_rule=0.5, dlnk_surf_library=2.659, dlnk_surf_training=2.659, dlnk_surf_rule=2.659): """ Initialize the different uncertainties dlnk - + We expect a uniform distribution for some reaction kinetics about ln(k0) in [ln(kmin), ln(kmax)]. dlnk = (ln(kmax)-ln(kmin))/2 """ @@ -236,7 +237,7 @@ def get_uncertainty_value(self, source): def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_family=None): """ Obtain the partial uncertainty dlnk/dlnk_corr*dlnk_corr, where dlnk_corr is the correlated parameter - + `corr_param` is the parameter identifier itself, which is the string identifier of the rate rule `corr_source_type` is a string, being either 'Rate Rules', 'Library', 'PDep', 'Training' or 'Estimation' `corr_family` is a string used only when the source type is 'Rate Rules' and indicates the family @@ -315,11 +316,12 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non def get_uncertainty_factor(self, source): """ Retrieve the uncertainty factor f when the source of the reaction kinetics are given. - + This is equivalent to sqrt(3)/ln(10) * dlnk in a uniform uncertainty interval """ dlnk = self.get_uncertainty_value(source) f = np.sqrt(3) / np.log(10) * dlnk + return f class Uncertainty(object): @@ -352,16 +354,16 @@ def __init__(self, species_list=None, reaction_list=None, output_directory=''): if not os.path.exists(self.output_directory): try: os.makedirs(self.output_directory) - except: + except OSError: raise Exception('Uncertainty output directory could not be created.') def load_database(self, kinetics_families='all', kinetics_depositories=None, thermo_libraries=None, reaction_libraries=None): """ This function loads a single copy of the RMGDatabase with full verbose averaging - of the rate rule to trace kinetics sources. - + of the rate rule to trace kinetics sources. + By default, this function loads all the kinetics families, only the training kinetics depository, - the primaryThermoLibrary, and no reaction libraries. + the primaryThermoLibrary, and no reaction libraries. """ from rmgpy.data.rmg import RMGDatabase from rmgpy import settings @@ -392,7 +394,7 @@ def load_model(self, chemkin_path, dictionary_path, transport_path=None, surface """ Load a RMG-generated model into the Uncertainty class `chemkin_path`: path to the chem_annotated.inp CHEMKIN mechanism - `dictionary_path`: path to the species_dictionary.txt file + `dictionary_path`: path to the species_dictionary.txt file `transport_path`: path to the tran.dat file (optional) Then create dictionaries stored in self.thermoGroups and self.rateRules @@ -486,7 +488,7 @@ def extract_sources_from_model(self): # We must retrieve the original saturated molecule's thermo instead of using the radical species as the source of thermo saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(species) - if ignore_spc: # this is saturated species that isn't in the actual model + if ignore_spc: # this is saturated species that isn't in the actual model self.extra_species.append(saturated_species) if 'Library' in source: @@ -766,7 +768,7 @@ def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, sensitivity_threshold=1e-3, number=10, fileformat='.png'): """ Run sensitivity analysis using the RMG solver in a single ReactionSystem object - + initial_mole_fractions is a dictionary with Species objects as keys and mole fraction initial conditions sensitive_species is a list of sensitive Species objects number is the number of top species thermo or reaction kinetics desired to be plotted @@ -835,7 +837,7 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated= output = {} for sens_species in sensitive_species: csvfile_path = os.path.join(self.output_directory, 'solver', - 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index+1, + 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index + 1, sens_species.index)) time, data_list = parse_csv_data(csvfile_path) # Assign uncertainties @@ -892,7 +894,7 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated= # Add the reaction index to the data label of the reaction uncertainties # data.index stores the physical index of the reaction + 1, so we convert it to the RMG index here for data in reaction_data_list: - data.label = 'k' + str(self.reaction_list[data.index-1].index) + ': ' + data.label.split()[-1] + data.label = 'k' + str(self.reaction_list[data.index - 1].index) + ': ' + data.label.split()[-1] if correlated: folder = os.path.join(self.output_directory, 'correlated') From 40629a678bd085d9d5fdc79d57d93e1d7486370f Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 14 Apr 2026 09:33:34 -0400 Subject: [PATCH 359/700] add parse_thermo_comment tests for surface species --- test/rmgpy/data/thermoTest.py | 78 +++++++++++++++++++++++++++++++++++ 1 file changed, 78 insertions(+) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index 57d2fb8a5b7..0b5b1f6de38 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -571,6 +571,84 @@ def test_parse_thermo_comments(self): assert source["GAV"]["radical"][0][1] == 1 assert all(source['GAV']['group'][x][1] == 1 for x in [0, 1, 2, 3, 5]) assert source['GAV']['group'][4][1] == 2 + + # ------------------------------- Surface Examples --------------------------- + # Surface library only + OX = rmgpy.species.Species(smiles="O=*") + OX.thermo = rmgpy.thermo.NASA() + OX.thermo.comment = 'Thermo library: surfaceThermoPt111' + source = self.database.extract_source_from_comments(OX) + assert "Library" in source + assert source["Library"] == "surfaceThermoPt111" + + # Gas library + adsorption correction + CH2X = rmgpy.species.Species(smiles="[CH2]=*") + CH2X.thermo = rmgpy.thermo.NASA() + CH2X.thermo.comment = 'Gas phase thermo for CH2(T) from Thermo library: primaryThermoLibrary. Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111(C=*R2)' + source = self.database.extract_source_from_comments(CH2X) + assert "Library" in source + assert source["Library"] == "primaryThermoLibrary" + assert "ADS" in source + assert source['ADS']['adsorptionPt111'][0][0].label == 'C=*R2' + assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 + assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution + + # GAV gas + adsorption correction + CO2X = rmgpy.species.Species(smiles="O=C=O.*") + CO2X.thermo = rmgpy.thermo.NASA() + CO2X.thermo.comment = 'Gas phase thermo for O=C=O from Thermo group additivity estimation: group(Cdd-OdOd). Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111((CR2)*)' + source = self.database.extract_source_from_comments(CO2X) + assert "GAV" in source + assert source["GAV"]["group"][0][0].label == "Cdd-OdOd" + assert source["GAV"]["group"][0][1] == 1 # weight should be 1 + assert len(source["GAV"]["group"]) == 1 # there should only be one GAV contribution + assert "ADS" in source + assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2)*' + assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 + assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution + + # Gas library + radical for HBI + adsorption correction + CHOX = rmgpy.species.Species(smiles="O=[CH]*") + CHOX.thermo = rmgpy.thermo.NASA() + CHOX.thermo.comment = 'Gas phase thermo for [CH]=O from Thermo library: primaryThermoLibrary + radical(HCdsJO). Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C-*R3)' + source = self.database.extract_source_from_comments(CHOX) + assert "Library" in source + assert source["Library"] == "primaryThermoLibrary" + assert "GAV" in source + assert source["GAV"]["radical"][0][0].label == "HCdsJO" + assert source["GAV"]["radical"][0][1] == 1 # weight should be 1 + assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution + assert "ADS" in source + assert source['ADS']['adsorptionPt111'][0][0].label == 'C-*R3' + assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 + assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution + + # Also test that the database is retrieving and assembling comments correctly + # Here we use the extremely limited test database already available in memory + OX_comment = self.database.get_thermo_data(OX).comment + OX.thermo.comment = OX_comment # set the comment to be the generated comment + source = self.database.extract_source_from_comments(OX) + assert "Library" in source + assert source["Library"] == "primaryThermoLibrary" + assert 'ADS' in source + assert source['ADS']['adsorptionPt111'][0][0].label == 'O=*' + assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 + assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution + + # an example with a radical and a library and an adsorption correction + CH2CHCH_ads = rmgpy.species.Species(smiles="[CH]C=C.*") + CH2CHCH_ads.thermo = self.database.get_thermo_data(CH2CHCH_ads) + source = self.database.extract_source_from_comments(CH2CHCH_ads) + assert "Library" in source + assert source["Library"] == "DFT_QCI_thermo" + assert "GAV" in source + assert source["GAV"]["radical"][0][0].label == "AllylJ2_triplet" + assert source["GAV"]["radical"][0][1] == 1 # weight should be 1 + assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution + assert "ADS" in source + assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2CR)*' + assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 + assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution def test_species_thermo_generation_hbi_library(self): """Test thermo generation for species objects for HBI correction on library value. From 987f295d137ccd0e3f9e1428f804a2f22d212fb7 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 15 Apr 2026 18:14:42 -0400 Subject: [PATCH 360/700] add uncertainty tests for some surface species --- test/rmgpy/tools/uncertaintyTest.py | 41 +++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 44f16f85486..a47866eef49 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -178,3 +178,44 @@ def test_uncertainty_assignment(self): [0.5, 1.5, 3.169924, 3.169924, 2.553605, 0.5, 2.0, 7.81, 7.81, 0.5], rtol=1e-4 ) + + def test_specific_species_uncertainties(self): + """ + Test uncertainties for a few specific examples + """ + + expected_results = { # order is (total_uncertainty, [group_names], [group_counts]) + 'CCCC': (1.9, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]), + 'CCCCCCCCCC': (2.5, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]), + 'CC(OO)CC': (2.1, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]), + 'C=NCC': (1.9, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]), + 'C=C': (1.7, ['Cds-CdsHH'], [2]), + 'C*': (10.018, ['CH3'], [1]), # Gas library + radical + adsorption correction + 'O=[CH]*': (8.618, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction + } + + uncertainty = rmgpy.tools.uncertainty.Uncertainty() + uncertainty.database = self.uncertainty.database # use the same database as the main test + new_species_list = [rmgpy.species.Species(smiles=spc) for spc in expected_results.keys()] + for spc in new_species_list: + spc.thermo = self.uncertainty.database.thermo.get_thermo_data(spc) + if not isinstance(spc.thermo, rmgpy.thermo.NASA): + spc.thermo = spc.thermo.to_nasa(Tmin=298, Tmax=3000, Tint=1000) + uncertainty.species_list = new_species_list + uncertainty.reaction_list = [] # no need to test kinetics here + + uncertainty.extract_sources_from_model() # this will populate the sources dict with the new species + uncertainty.assign_parameter_uncertainties() # this will assign the uncertainties based on the sources and the database + + for i, sp in enumerate(uncertainty.species_list): + source = uncertainty.species_sources_dict[sp] + + actual_group_data = [] + for group_type, group_entries in source['GAV'].items(): + for group, count in group_entries: + actual_group_data.append((group.label, count)) + expected_result = expected_results[sp.smiles] + expected_group_data = sorted(zip(expected_result[1], expected_result[2])) + actual_group_data = sorted(actual_group_data) + assert np.isclose(uncertainty.thermo_input_uncertainties[i], expected_result[0], rtol=1e-4) + assert actual_group_data == expected_group_data From 229d8e821978fb2e0efb31a7c678712823e3edd5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 10:56:01 -0400 Subject: [PATCH 361/700] Fix coverage dependent kinetics reading/writing in chemkin files. Both reading and writing should expect and make Quantity objects for a and m parameters. Ea was already dealt with. --- rmgpy/chemkin.pyx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 1988419057d..636cbe09264 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -501,7 +501,7 @@ def _read_kinetics_line(line, reaction, species_dict, Eunits, kunits, klow_units tokens = case_preserved_tokens[1].split() cov_dep_species = species_dict[tokens[0].strip()] Ea = Quantity(float(tokens[3]), Eunits) - k.coverage_dependence[cov_dep_species] = {'a':float(tokens[1]), 'm':float(tokens[2]), 'E':Ea} + k.coverage_dependence[cov_dep_species] = {'a': Quantity(float(tokens[1])), 'm': Quantity(float(tokens[2])), 'E': Ea} elif 'LOW' in line: # Low-pressure-limit Arrhenius parameters @@ -1867,7 +1867,7 @@ def write_kinetics_entry(reaction, species_list, verbose=True, java_library=Fals for species, cov_params in kinetics.coverage_dependence.items(): label = get_species_identifier(species) string += f' COV / {label:<41} ' - string += f"{cov_params['a']:<9.3g} {cov_params['m']:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" + string += f"{cov_params['a'].value_si:<9.3g} {cov_params['m'].value_si:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n" if isinstance(kinetics, (_kinetics.ThirdBody, _kinetics.Lindemann, _kinetics.Troe)): # Write collider efficiencies From e299b3a647d2dac1c429b4fcf6850248d25d9ba5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 12:58:36 -0400 Subject: [PATCH 362/700] Unit test for writing coverage dependent kinetics to chemkin files. This is what revealed the need for the previous commit. --- test/rmgpy/chemkinTest.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index 69692ea4bbf..e72d227a929 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -44,6 +44,7 @@ save_chemkin_surface_file, save_species_dictionary, save_transport_file, + write_kinetics_entry, write_thermo_entry, ) from rmgpy.chemkin import _remove_line_breaks, _process_duplicate_reactions @@ -665,6 +666,33 @@ def test_read_write_coverage_dependence(self): os.remove(chemkin_save_path) os.remove(dictionary_save_path) + def test_write_kinetics_entry_with_coverage_dependence(self): + """Test that write_kinetics_entry correctly writes COV lines for surface reactions + with coverage-dependent kinetics.""" + s_ox = Species().from_smiles("O=[*]") + s_ox.label = "OX" + + kinetics = SurfaceArrhenius( + A=(7.39e19, "cm^2/(mol*s)"), + n=0.0, + Ea=(18.475, "kcal/mol"), + T0=(1, "K"), + coverage_dependence={s_ox: {"a": 0.0, "m": 0.0, "E": (-17.5, "kcal/mol")}}, + ) + + rxn = Reaction( + reactants=[s_ox], + products=[s_ox], + kinetics=kinetics, + ) + + result = write_kinetics_entry(rxn, species_list=[s_ox]) + + assert "COV" in result + cov_line = [line for line in result.splitlines() if "COV" in line][0] + assert "OX" in cov_line + assert "-17.500" in cov_line + class TestThermoReadWrite: def setup_class(self): From 9afb9376ab36a9b08c788de296d8876782a88ccf Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 2 Aug 2024 10:59:36 -0400 Subject: [PATCH 363/700] Minor: Fix a Cython declaration in a Reaction method. Although Atom is a subclass of Vertex, it adds an element attribute. This leads to more efficient Cython code (and quietens a warning in vscode). --- rmgpy/reaction.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index a8ae13f3d3a..477e29cc965 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1447,7 +1447,7 @@ def is_balanced(self): from rmgpy.molecule.element import element_list from rmgpy.molecule.fragment import CuttingLabel, Fragment - cython.declare(reactant_elements=dict, product_elements=dict, molecule=Graph, atom=Vertex, element=Element, + cython.declare(reactant_elements=dict, product_elements=dict, molecule=Molecule, atom=Atom, element=Element, reactants_net_charge=cython.int, products_net_charge=cython.int) reactant_elements = {} From 2903d716464f4f5b788077b7f819c235bc0c7f29 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 11:17:47 -0400 Subject: [PATCH 364/700] Fix species rename from thermo library for reaction-generated species MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 7318b37 introduced a `rename` flag to `generate_thermo` to prevent user-labelled initial species from being silently renamed by a library match. However, it called `generate_thermo(spec)` (rename=False) inside `make_new_species`, caching `spec.thermo` before the rename-enabled call in `apply_thermo_to_species` could run — so the `if not spc.thermo` guard in `generate_thermo` always short-circuited the rename for reaction products, leaving them with SMILES labels (e.g. "O=O") instead of their library names (e.g. "O2(S)"). Fix: pass `rename=not bool(spec.label)` so that reaction-generated species (no label yet) are renamed from the library entry, while user-labelled initial species are left unchanged. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/model.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index f937ac88424..225c8f55399 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -365,10 +365,11 @@ def make_new_species(self, object, label="", reactive=True, check_existing=True, spec.molecular_weight = Quantity(spec.molecule[0].get_molecular_weight() * 1000.0, "amu") if generate_thermo: - self.generate_thermo(spec) + # Rename from thermo library label only if no user-provided label exists yet. + self.generate_thermo(spec, rename=not bool(spec.label)) # If the species still does not have a label, set initial label as the SMILES - # This may change later after getting thermo in self.generate_thermo() + # (applies when generate_thermo is False, or when no library match was found) if not spec.label: spec.label = spec.smiles From 43584f962bc894767676d2b1835990c031c5f87c Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 6 Feb 2025 23:04:26 -0500 Subject: [PATCH 365/700] Rename 'inertia' to 'identity' This was originally called 'I' and during the PEP8 conversion around the py2 to py3 time, they were all renamed inertia, even though some of them represent the identity matrix not the moments of inertia --- arkane/statmech.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/arkane/statmech.py b/arkane/statmech.py index d348ec0c075..013705499d1 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -1092,13 +1092,10 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ d[3 * i + 2, 5] = (p[i, 0] * inertia_xyz[2, 1] - p[i, 1] * inertia_xyz[2, 0]) * amass[i] # Make sure projection matrix is orthonormal - - inertia = np.identity(n_atoms * 3, float) - + identity = np.identity(n_atoms * 3, float) p = np.zeros((n_atoms * 3, 3 * n_atoms + external), float) - p[:, 0:external] = d[:, 0:external] - p[:, external:external + 3 * n_atoms] = inertia[:, 0:3 * n_atoms] + p[:, external:external + 3 * n_atoms] = identity[:, 0:3 * n_atoms] for i in range(3 * n_atoms + external): norm = 0.0 @@ -1248,8 +1245,8 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ # Do the projection d_int_proj = np.dot(vmw.T, d_int) proj = np.dot(d_int, d_int.T) - inertia = np.identity(n_atoms * 3, float) - proj = inertia - proj + identity = np.identity(n_atoms * 3, float) + proj = identity - proj fm = np.dot(proj, np.dot(fm, proj)) # Get eigenvalues of mass-weighted force constant matrix eig, v = np.linalg.eigh(fm) From d63138a830300c765203b98921c4a4c3c957e5d2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 6 Feb 2025 23:05:31 -0500 Subject: [PATCH 366/700] Refactor some column sorting. I think the previous might have left the final column in an undetermined state. And this might be quicker (fewer loops) and cleaner Python. --- arkane/statmech.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/arkane/statmech.py b/arkane/statmech.py index 013705499d1..b384b117ec0 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -1115,14 +1115,10 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ # Order p, there will be vectors that are 0.0 i = 0 - while i < 3 * n_atoms: - norm = 0.0 - for j in range(3 * n_atoms): - norm += p[j, i] * p[j, i] - if norm < 0.5: - p[:, i:3 * n_atoms + external - 1] = p[:, i + 1:3 * n_atoms + external] - else: - i += 1 + is_zero_column = (p*p).sum(axis=0) < 0.5 + # put the columns that are zeros at the end + temporary = np.hstack((p[:, ~is_zero_column], p[:, is_zero_column])) + p[:, :] = temporary # T is the transformation vector from cartesian to internal coordinates T = np.zeros((n_atoms * 3, 3 * n_atoms - external), float) From 22ab9e351118db3f538efc432624f3a8f1ecebd0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 6 Feb 2025 23:23:33 -0500 Subject: [PATCH 367/700] Added /edited comments --- arkane/statmech.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/arkane/statmech.py b/arkane/statmech.py index b384b117ec0..386ac792277 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -1097,6 +1097,7 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ p[:, 0:external] = d[:, 0:external] p[:, external:external + 3 * n_atoms] = identity[:, 0:3 * n_atoms] + # modified Gram–Schmidt orthonormalization for i in range(3 * n_atoms + external): norm = 0.0 for j in range(3 * n_atoms): @@ -1105,7 +1106,7 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ if norm > 1E-15: p[j, i] /= np.sqrt(norm) else: - p[j, i] = 0.0 + p[j, i] = 0.0 # zeroing out vectors that are nearly zero or dependent, could lose a basis for j in range(i + 1, 3 * n_atoms + external): proj = 0.0 for k in range(3 * n_atoms): @@ -1113,7 +1114,7 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ for k in range(3 * n_atoms): p[k, j] -= proj * p[k, i] - # Order p, there will be vectors that are 0.0 + # Order p, since there will be vectors that are 0.0 i = 0 is_zero_column = (p*p).sum(axis=0) < 0.5 # put the columns that are zeros at the end From f17deb61a01e188e833f881a3f669d8404ae34a3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 7 Feb 2025 00:09:14 -0500 Subject: [PATCH 368/700] Change orthonormalization when projecting out modes in statmech. We were doing a manually coded Gram-Schmidt orthonormalization. This is now replaced with a QR decomposition built in to Numpy, which should be more robust (and probably faster). Added in some checks that print warnings. --- arkane/statmech.py | 48 ++++++++++++++++++++-------------------------- 1 file changed, 21 insertions(+), 27 deletions(-) diff --git a/arkane/statmech.py b/arkane/statmech.py index 386ac792277..3d9ab5969ad 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -1092,39 +1092,33 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ d[3 * i + 2, 5] = (p[i, 0] * inertia_xyz[2, 1] - p[i, 1] * inertia_xyz[2, 0]) * amass[i] # Make sure projection matrix is orthonormal - identity = np.identity(n_atoms * 3, float) - p = np.zeros((n_atoms * 3, 3 * n_atoms + external), float) - p[:, 0:external] = d[:, 0:external] - p[:, external:external + 3 * n_atoms] = identity[:, 0:3 * n_atoms] + p = np.hstack((d, np.identity(n_atoms * 3, float))) - # modified Gram–Schmidt orthonormalization - for i in range(3 * n_atoms + external): - norm = 0.0 - for j in range(3 * n_atoms): - norm += p[j, i] * p[j, i] - for j in range(3 * n_atoms): - if norm > 1E-15: - p[j, i] /= np.sqrt(norm) - else: - p[j, i] = 0.0 # zeroing out vectors that are nearly zero or dependent, could lose a basis - for j in range(i + 1, 3 * n_atoms + external): - proj = 0.0 - for k in range(3 * n_atoms): - proj += p[k, i] * p[k, j] - for k in range(3 * n_atoms): - p[k, j] -= proj * p[k, i] + # Compute the QR decomposition in reduced mode + Q, R = np.linalg.qr(p, mode='reduced') + + # Verify that Q has orthonormal columns: + if np.isclose(np.dot(Q.T, Q), np.eye(Q.shape[1])).all(): + logging.debug("Q has orthonormal columns") + else: + logging.warning("Q does not have orthonormal columns") + # Verify the reconstruction + reconstructed_p = Q @ R + if np.isclose(p, reconstructed_p).all(): + logging.debug("Reconstruction of projection matrix is correct") + else: + logging.warning("Reconstruction of projection matrix is incorrect") + + # Check for nearly zero columns in the QR decomposition + for i, rkk in enumerate(R.diagonal()): + if abs(rkk) < 1E-15: + logging.warning(f'Column {i} of the QR decomposition is nearly zero, could lose a basis') - # Order p, since there will be vectors that are 0.0 - i = 0 - is_zero_column = (p*p).sum(axis=0) < 0.5 - # put the columns that are zeros at the end - temporary = np.hstack((p[:, ~is_zero_column], p[:, is_zero_column])) - p[:, :] = temporary # T is the transformation vector from cartesian to internal coordinates T = np.zeros((n_atoms * 3, 3 * n_atoms - external), float) - T[:, 0:3 * n_atoms - external] = p[:, external:3 * n_atoms] + T[:, :] = Q[:, external:3 * n_atoms] # Generate mass-weighted force constant matrix # This converts the axes to mass-weighted Cartesian axes From 75c6bbc74c0f62bb93660566d832829caf1404bc Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 7 Feb 2025 00:40:35 -0500 Subject: [PATCH 369/700] Replace another gram-schmidt with QR decomposition Not sure it helps at all. --- arkane/statmech.py | 20 ++++++++------------ 1 file changed, 8 insertions(+), 12 deletions(-) diff --git a/arkane/statmech.py b/arkane/statmech.py index 3d9ab5969ad..df037c6cd72 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -1212,24 +1212,20 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_ d_int[j, i] += d_int_proj[k, i] * vmw[j, k] # Ortho normalize - for i in range(n_rotors): - norm = 0.0 - for j in range(3 * n_atoms): - norm += d_int[j, i] * d_int[j, i] - for j in range(3 * n_atoms): - d_int[j, i] /= np.sqrt(norm) - for j in range(i + 1, n_rotors): - proj = 0.0 - for k in range(3 * n_atoms): - proj += d_int[k, i] * d_int[k, j] - for k in range(3 * n_atoms): - d_int[k, j] -= proj * d_int[k, i] + # Here, Q will have orthonormal columns, and R is the triangular factor. + Q, R = np.linalg.qr(d_int, mode='reduced') + # replace d_int with its orthonormalized version: + d_int = Q # calculate the frequencies corresponding to the internal rotors int_proj = np.dot(fm, d_int) kmus = np.array([np.linalg.norm(int_proj[:, i]) for i in range(int_proj.shape[1])]) int_rotor_freqs = np.sqrt(kmus) / (2.0 * math.pi * constants.c * 100.0) + logging.debug('Frequencies from internal rotors:') + for i in range(n_rotors): + logging.debug(' rotor %d: %.6f cm^-1', i, int_rotor_freqs[i]) + if get_projected_out_freqs: return int_rotor_freqs From 0ee753400526e729f7f4919e25016cbd68cc046e Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 6 May 2026 08:23:20 -0400 Subject: [PATCH 370/700] Create fresh and not cloned environment to avoid cache issues Regression tests are broken because one package is messed up in the cache. This sacrifices a bit of extra time to build a clean environment but is more robust because problematic cached packages are less likely to cause problems in the future --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 9b90d48d140..3f5944a5b4b 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -176,7 +176,7 @@ jobs: - name: Make separate No-RMS conda env run: | - conda create --name rmg_env_without_rms --clone rmg_env + conda create --name rmg_env_without_rms -f environment.yml - name: Setup Juliaup uses: julia-actions/install-juliaup@v2 From b5d62b006419fe972862faa5ecdc96e398527acd Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 6 May 2026 16:27:30 -0400 Subject: [PATCH 371/700] Fix rmg_env_without_rms setup for regression test The regression tests are failing since we switched back from using the --clone option to creating a fresh environment for rmg_env_without_rms. This adds an install pip step and a "make install" step so that we can run checkModels.py without an ImportError. It also uses conda run -n to enforce using the rmg_env_without_rms even if the conda activate step fails for some reason. The regression tests are still failing, possibly because the rmg_env_without_rms fails to activate silently. --- .github/workflows/CI.yml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 3f5944a5b4b..af1ba441207 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -276,6 +276,9 @@ jobs: REFERENCE: stable_regression_results run: | conda activate rmg_env_without_rms + echo "CONDA_PREFIX: $CONDA_PREFIX" # see if the conda environment was activated + conda run -n rmg_env_without_rms conda install -y pip + conda run -n rmg_env_without_rms make install exec 2> >(tee -a regression.stderr >&2) 1> >(tee -a regression.stdout) mkdir -p "test/regression-diff" @@ -295,7 +298,7 @@ jobs: echo "
" # Compare the edge and core - if python scripts/checkModels.py \ + if conda run -n rmg_env_without_rms python scripts/checkModels.py \ "$regr_test-core" \ $REFERENCE/"$regr_test"/chemkin/chem_annotated.inp \ $REFERENCE/"$regr_test"/chemkin/species_dictionary.txt \ @@ -318,7 +321,7 @@ jobs: echo "
" fi echo "
" - if python scripts/checkModels.py \ + if conda run -n rmg_env_without_rms python scripts/checkModels.py \ "$regr_test-edge" \ $REFERENCE/"$regr_test"/chemkin/chem_edge_annotated.inp \ $REFERENCE/"$regr_test"/chemkin/species_edge_dictionary.txt \ @@ -345,7 +348,7 @@ jobs: if [ -f test/regression/"$regr_test"/regression_input.py ]; then echo "
" - if python rmgpy/tools/regression.py \ + if conda run -n rmg_env_without_rms python rmgpy/tools/regression.py \ test/regression/"$regr_test"/regression_input.py \ $REFERENCE/"$regr_test"/chemkin \ test/regression/"$regr_test"/chemkin 2> regression.py.err From 7ce3cdb10fb3d16f4758b2430f1e496ee37fd442 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:25:26 -0400 Subject: [PATCH 372/700] Update Arkane prettifier for Constant AST nodes Python 3.11 parses literal strings and numbers as ast.Constant nodes and warns when NodeVisitor falls back to visit_Str or visit_Num. Updating the prettifier to recognize Constant nodes removes those deprecation warnings while keeping the existing pretty-printing logic localized to Arkane output formatting. This is a good fit because it follows the modern AST API directly instead of filtering warnings or depending on deprecated compatibility dispatch. The change is intentionally narrow: it only affects literal classification and rendering inside prettify(). Co-authored-by: Codex with GPT-5.5 --- arkane/output.py | 44 ++++++++++++++++++++++++++------------------ 1 file changed, 26 insertions(+), 18 deletions(-) diff --git a/arkane/output.py b/arkane/output.py index 7657834c004..1836229c765 100644 --- a/arkane/output.py +++ b/arkane/output.py @@ -56,6 +56,18 @@ def __init__(self, level=0, indent=4): self.level = level self.indent = indent + @staticmethod + def _is_string(node): + return isinstance(node, ast.Constant) and isinstance(node.value, str) + + @staticmethod + def _is_number(node): + return isinstance(node, ast.Constant) and isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool) + + @classmethod + def _is_string_or_number(cls, node): + return cls._is_string(node) or cls._is_number(node) + def visit_Call(self, node): """ Return a pretty representation of the class or function call represented by `node`. @@ -84,7 +96,7 @@ def visit_List(self, node): """ Return a pretty representation of the list represented by `node`. """ - if any([not isinstance(e, (ast.Str, ast.Num, ast.UnaryOp)) for e in node.elts]): + if any([not (self._is_string_or_number(e) or isinstance(e, ast.UnaryOp)) for e in node.elts]): # Split elements onto multiple lines result = '[\n' self.level += 1 @@ -105,11 +117,11 @@ def visit_Tuple(self, node): """ # If the tuple represents a quantity, keep it on one line is_quantity = True - if len(node.elts) == 0 or not isinstance(node.elts[0], (ast.Num, ast.List)) or ( + if len(node.elts) == 0 or not (self._is_number(node.elts[0]) or isinstance(node.elts[0], ast.List)) or ( isinstance(node.elts[0], ast.List) and - any([not isinstance(e, (ast.Num, ast.UnaryOp)) for e in node.elts[0].elts])): + any([not (self._is_number(e) or isinstance(e, ast.UnaryOp)) for e in node.elts[0].elts])): is_quantity = False - elif len(node.elts) < 2 or not isinstance(node.elts[1], ast.Str): + elif len(node.elts) < 2 or not self._is_string(node.elts[1]): is_quantity = False if not is_quantity: @@ -131,8 +143,8 @@ def visit_Dict(self, node): """ Return a pretty representation of the dict represented by `node`. """ - if (any([not isinstance(e, (ast.Str, ast.Num)) for e in node.keys]) - or any([not isinstance(e, (ast.Str, ast.Num)) for e in node.values])): + if (any([not self._is_string_or_number(e) for e in node.keys]) + or any([not self._is_string_or_number(e) for e in node.values])): # Split elements onto multiple lines result = '{\n' self.level += 1 @@ -149,20 +161,16 @@ def visit_Dict(self, node): self.string = result return result - def visit_Str(self, node): - """ - Return a pretty representation of the string represented by `node`. - """ - result = repr(node.s) - self.string = result - return result - - def visit_Num(self, node): + def visit_Constant(self, node): """ - Return a pretty representation of the number represented by `node`. + Return a pretty representation of the constant represented by `node`. """ - result = '{0:g}'.format(node.n) - # result = repr(node.n) + if isinstance(node.value, str): + result = repr(node.value) + elif isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool): + result = '{0:g}'.format(node.value) + else: + return None self.string = result return result From 6a88539090bc2fe7579aefbded8e0dac125b8fa6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:25:36 -0400 Subject: [PATCH 373/700] Handle underdetermined BAC confidence intervals explicitly BAC cross-validation can fit folds with no residual degrees of freedom, so the variance estimate is mathematically undefined. Letting NumPy perform the division produced runtime warnings for an expected edge case and made warning-clean test runs noisy. The implementation makes the undefined case explicit by returning nan confidence interval values when n - p is not positive, and by masking invalid covariance-to-correlation divisions. This preserves the numerical meaning of the result while avoiding warning-driven control flow. Consideration: callers that inspect confidence intervals from underdetermined folds should continue to treat nan values as unavailable uncertainty estimates. Co-authored-by: Codex with GPT-5.5 Co-authored-by: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> --- arkane/encorr/bac.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/arkane/encorr/bac.py b/arkane/encorr/bac.py index c511a9f47b4..da1cc5d9075 100644 --- a/arkane/encorr/bac.py +++ b/arkane/encorr/bac.py @@ -1092,10 +1092,13 @@ def get_confidence_intervals(x: np.ndarray, weights = np.eye(n) e = y - ypred # Residuals - sigma2 = e.T @ weights @ e / (n - p) # MSE + dof = n - p + if dof <= 0: + return np.nan, np.nan + sigma2 = e.T @ weights @ e / dof # MSE cov = sigma2 * np.linalg.inv(x.T @ weights @ x) # covariance matrix se = np.sqrt(np.diag(cov)) # standard error - tdist = distributions.t.ppf(1 - alpha / 2, n - p) # student-t + tdist = distributions.t.ppf(1 - alpha / 2, dof) # student-t ci = tdist * se # confidence interval half-width return ci, cov @@ -1103,6 +1106,7 @@ def get_confidence_intervals(x: np.ndarray, def _covariance_to_correlation(cov: np.ndarray) -> np.ndarray: """Convert (unscaled) covariance matrix to correlation matrix""" v = np.sqrt(np.diag(cov)) - corr = cov / np.outer(v, v) + with np.errstate(divide='ignore', invalid='ignore'): + corr = cov / np.outer(v, v) corr[cov == 0] = 0 return corr From d4b0814fdf3e9d6594aed3f1d64d6af2ede28810 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:25:42 -0400 Subject: [PATCH 374/700] Pass scalar temperatures in ESS partition tests The ESS tests passed one-element NumPy arrays into partition-function methods whose Cython signatures expect scalar temperatures. NumPy 1.25 warns about implicit array-to-scalar conversion, and future NumPy releases will make that conversion an error. Defining the test temperature as a float matches the API contract of the methods under test and removes the deprecation warning without changing the expected thermodynamic values. Co-authored-by: Codex with GPT-5.5 --- test/arkane/ess/arkaneGaussianTest.py | 25 ++++++++++++------------- test/arkane/ess/molproTest.py | 11 ++++------- 2 files changed, 16 insertions(+), 20 deletions(-) diff --git a/test/arkane/ess/arkaneGaussianTest.py b/test/arkane/ess/arkaneGaussianTest.py index 8109b708a96..6c2a0bdc632 100644 --- a/test/arkane/ess/arkaneGaussianTest.py +++ b/test/arkane/ess/arkaneGaussianTest.py @@ -93,10 +93,10 @@ def test_load_ethylene_from_gaussian_log_cbsqb3(self): trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0] rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0] vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0] - t_list = np.array([298.15], float) - assert abs(trans.get_partition_function(t_list) - 5.83338e6) < 1e1 - assert abs(rot.get_partition_function(t_list) - 2.59622e3) < 1e-2 - assert abs(vib.get_partition_function(t_list) - 1.0481e0) < 1e-4 + t = 298.15 + assert abs(trans.get_partition_function(t) - 5.83338e6) < 1e1 + assert abs(rot.get_partition_function(t) - 2.59622e3) < 1e-2 + assert abs(vib.get_partition_function(t) - 1.0481e0) < 1e-4 assert round(abs(e0 / constants.Na / constants.E_h - -78.467452), 4) == 0 assert conformer.spin_multiplicity == 1 @@ -152,10 +152,10 @@ def test_load_oxygen_from_gaussian_log(self): trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0] rot = [mode for mode in conformer.modes if isinstance(mode, LinearRotor)][0] vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0] - t_list = np.array([298.15], float) - assert abs(trans.get_partition_function(t_list) - 7.11169e6) < 1e1 - assert abs(rot.get_partition_function(t_list) - 7.13316e1) < 1e-4 - assert abs(vib.get_partition_function(t_list) - 1.00037e0) < 1e-4 + t = 298.15 + assert abs(trans.get_partition_function(t) - 7.11169e6) < 1e1 + assert abs(rot.get_partition_function(t) - 7.13316e1) < 1e-4 + assert abs(vib.get_partition_function(t) - 1.00037e0) < 1e-4 assert round(abs(e0 / constants.Na / constants.E_h - -150.3784877), 4) == 0 assert conformer.spin_multiplicity == 3 @@ -180,11 +180,10 @@ def test_load_ethylene_from_gaussian_log_g3(self): trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0] rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0] vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0] - t_list = np.array([298.15], float) - - assert abs(trans.get_partition_function(t_list) - 5.83338e6) < 1e1 - assert abs(rot.get_partition_function(t_list) - 2.53410e3) < 1e-2 - assert abs(vib.get_partition_function(t_list) - 1.0304e0) < 1e-4 + t = 298.15 + assert abs(trans.get_partition_function(t) - 5.83338e6) < 1e1 + assert abs(rot.get_partition_function(t) - 2.53410e3) < 1e-2 + assert abs(vib.get_partition_function(t) - 1.0304e0) < 1e-4 assert round(abs(e0 / constants.Na / constants.E_h - -78.562189), 4) == 0 assert conformer.spin_multiplicity == 1 diff --git a/test/arkane/ess/molproTest.py b/test/arkane/ess/molproTest.py index 36a121f6238..afeb864fce2 100644 --- a/test/arkane/ess/molproTest.py +++ b/test/arkane/ess/molproTest.py @@ -34,8 +34,6 @@ import os -import numpy as np - import rmgpy.constants as constants from rmgpy.statmech import ( IdealGasTranslation, @@ -129,11 +127,10 @@ def test_load_hosi_from_molpro_log(self): trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0] rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0] vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0] - t_list = np.array([298.15], float) - - assert abs(trans.get_partition_function(t_list) - 9.175364e7) < 1e1 - assert abs(rot.get_partition_function(t_list) - 1.00005557e5) < 1e-2 - assert abs(vib.get_partition_function(t_list) - 1.9734989e0) < 1e-4 + t = 298.15 + assert abs(trans.get_partition_function(t) - 9.175364e7) < 1e1 + assert abs(rot.get_partition_function(t) - 1.00005557e5) < 1e-2 + assert abs(vib.get_partition_function(t) - 1.9734989e0) < 1e-4 assert round(abs(e0 / constants.Na / constants.E_h - -768.275662), 4) == 0 assert conformer.spin_multiplicity == 1 From bc743383bf0bdaea321e2fa76ffbd9b398bc7630 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:25:55 -0400 Subject: [PATCH 375/700] Use vector RHS for solvation least squares The solvation K-factor parameter solve used a column-vector right-hand side, causing np.linalg.lstsq to return a two-dimensional parameter array. Converting individual parameters from one-element arrays to floats triggers NumPy scalar-conversion deprecation warnings. Using a one-dimensional right-hand side matches the scalar parameter model and lets NumPy return a one-dimensional solution directly. This removes the warning at the source while leaving the least-squares system and fitted values unchanged. Co-authored-by: Codex with GPT-5.5 --- rmgpy/data/solvation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py index bfa1fcb9661..585cbd2e284 100644 --- a/rmgpy/data/solvation.py +++ b/rmgpy/data/solvation.py @@ -2381,7 +2381,7 @@ def get_Kfactor_parameters(self, delG298, delH298, delS298, solvent_name, T_tran # Generate Amatrix and bvector for Ax = b Amatrix = np.zeros((4, 4)) - bvec = np.zeros((4, 1)) + bvec = np.zeros(4) # 1. Tr*ln(K-factor) value at T = 298 K rho_g_298 = get_gas_saturation_density(solvent_name, 298) rho_l_298 = get_liquid_saturation_density(solvent_name, 298) From ce30db6f850d480a6ee0d5da7845a82214b62a78 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:26:06 -0400 Subject: [PATCH 376/700] Adapt Forst optimizer objective to scalar input SciPy optimizers pass the Nelder-Mead search coordinate as an array, but the Forst density-of-states objective is a scalar function. Passing SciPy's array directly into the Cython scalar function caused NumPy array-to-scalar deprecation warnings during pressure-dependence density-of-states calculations. The optimizer now calls a small Python adapter that extracts the scalar value before evaluating phi(), and the returned one-element optimization result is converted explicitly with item(). This keeps the existing optimization method and numerical pathway while making the scalar boundary explicit. Co-authored-by: Codex with GPT-5.5 --- rmgpy/statmech/conformer.pyx | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/rmgpy/statmech/conformer.pyx b/rmgpy/statmech/conformer.pyx index a391484fc35..e3e911248db 100644 --- a/rmgpy/statmech/conformer.pyx +++ b/rmgpy/statmech/conformer.pyx @@ -541,6 +541,15 @@ cpdef double phi(double beta, int k, double E, logQ) except -10000000: T = 1.0 / (constants.R * beta) return logQ(T) - k * log(beta) + beta * E + +def _phi_for_optimizer(beta, int k, double E, logQ): + """ + Evaluate :func:`phi` from SciPy optimizers, which pass the scalar search + coordinate as a one-element array. + """ + return phi(float(np.asarray(beta).item()), k, E, logQ) + + @cython.boundscheck(False) @cython.wraparound(False) def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, int order=1): @@ -557,6 +566,7 @@ def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, i cdef np.ndarray[np.float64_t, ndim=1] dens_states, sum_states cdef double x, dx, v, E, dE + cdef object opt_result cdef int i, k if order != 1 and order != 2: @@ -580,10 +590,10 @@ def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, i # Find minimum of phi func x0 arg xtol ftol maxi maxf fullout disp retall callback try: - x = scipy.optimize.fmin(phi, x, (k, E, logQ), 1e-8, 1e-8, 100, 1000, False, False, False, None) + opt_result = scipy.optimize.fmin(_phi_for_optimizer, np.array([x]), (k, E, logQ), 1e-8, 1e-8, 100, 1000, False, False, False, None) except ValueError: break - x = float(x) + x = float(opt_result.item()) dx = 1e-2 * x # Evaluate derivatives needed for steepest descents approximation numerically From c4b34428cf8626858a008bd03a3b34dcd28a45e5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:26:13 -0400 Subject: [PATCH 377/700] Suppress expected jackknife covariance warning The kinetics family jackknife refit intentionally fits small leave-one-out datasets when estimating rule uncertainty. In those cases SciPy may be unable to estimate parameter covariance, producing an OptimizeWarning even though the fitted rate coefficient is still the value used by the jackknife calculation. The warning suppression is scoped to the jackknife refit that can legitimately produce this warning. This keeps test output focused on actionable warnings without hiding unrelated optimization warnings elsewhere in kinetics fitting. Consideration: this does not improve covariance estimation for sparse jackknife samples; it only acknowledges that covariance is not consumed by this calculation. Co-authored-by: Codex with GPT-5.5 --- rmgpy/data/kinetics/family.py | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 0b43a7134cd..685d92cd778 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -43,6 +43,7 @@ from copy import deepcopy import numpy as np +from scipy.optimize import OptimizeWarning from sklearn.model_selection import KFold from rmgpy import settings @@ -4654,13 +4655,20 @@ def _make_rule(rr): kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label) else: if isinstance(rs[0].kinetics, Arrhenius): - dlnks = np.array([ - np.log( - arr().fit_to_reactions(np.delete(rs, i), recipe=recipe) - .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref)) - .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) - ) for i, rxn in enumerate(rs) - ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref + with warnings.catch_warnings(): + # Jackknife refits use sparse samples and only consume fitted rates, not covariance estimates. + warnings.filterwarnings( + "ignore", + message="Covariance of the parameters could not be estimated", + category=OptimizeWarning, + ) + dlnks = np.array([ + np.log( + arr().fit_to_reactions(np.delete(rs, i), recipe=recipe) + .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref)) + .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref) + ) for i, rxn in enumerate(rs) + ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref else: dlnks = np.array([ np.log( From d7bde4dff8c7680b39918c425bf1f733862fd3be Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:26:19 -0400 Subject: [PATCH 378/700] Guard singular one-state flux solves The pressure-dependence flux filter can encounter a one-isomer steady-state system with no source flux or a zero diagonal matrix entry. Dividing in those singular cases produced runtime warnings and did not yield a meaningful steady-state concentration. Returning None for singular one-state solves reuses the existing fallback path in get_rate_filtered_products(), which already handles unavailable steady-state solutions by falling back to rate-coefficient filtering. This avoids invalid arithmetic while preserving the intended filtering behavior. Consideration: singular one-state networks now take the fallback filtering path instead of returning inf or nan concentrations. Co-authored-by: Codex with GPT-5.5 --- rmgpy/rmg/pdep.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index 237cdada2a4..f6daa5292c1 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -432,9 +432,14 @@ def solve_ss_network(self, T, P): ind = isomer_spcs.index(self.source[0]) b[ind] = -1.0 # flux at source else: - b = -b / b.sum() # 1.0 flux from source + total_source_flux = b.sum() + if total_source_flux == 0: + return None + b = -b / total_source_flux # 1.0 flux from source if len(b) == 1: + if A[0, 0] == 0: + return None return np.array([b[0] / A[0, 0]]) con = np.linalg.cond(A) From e0db650d6333c455caade14eec9602805cb88185 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 11:02:28 -0400 Subject: [PATCH 379/700] Render boolean literals in Arkane prettifier The Arkane prettifier is intended to preserve Python literal values while changing layout and whitespace. Rendering True and False as None made the output misleading and caused boolean keyword arguments such as quantum=True and semiclassical=False to lose their meaning in prettified output. Handling bool explicitly in visit_Constant is the right place for this because modern Python ASTs represent booleans as ast.Constant nodes. The check must happen before numeric formatting because bool subclasses int in Python; otherwise True and False could be formatted as 1 and 0. Behavior change: prettify() now renders boolean literals as True and False in keyword arguments and simple list or dict constants. The updated OutputUnitTest expectation records this behavior for the HinderedRotor quantum and semiclassical arguments. Co-authored-by: Codex with GPT-5.5 --- arkane/output.py | 14 +++++++++----- test/arkane/arkaneOutputTest.py | 4 ++-- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/arkane/output.py b/arkane/output.py index 1836229c765..1fc8bd1f690 100644 --- a/arkane/output.py +++ b/arkane/output.py @@ -65,8 +65,10 @@ def _is_number(node): return isinstance(node, ast.Constant) and isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool) @classmethod - def _is_string_or_number(cls, node): - return cls._is_string(node) or cls._is_number(node) + def _is_simple_constant(cls, node): + return cls._is_string(node) or cls._is_number(node) or ( + isinstance(node, ast.Constant) and isinstance(node.value, bool) + ) def visit_Call(self, node): """ @@ -96,7 +98,7 @@ def visit_List(self, node): """ Return a pretty representation of the list represented by `node`. """ - if any([not (self._is_string_or_number(e) or isinstance(e, ast.UnaryOp)) for e in node.elts]): + if any([not (self._is_simple_constant(e) or isinstance(e, ast.UnaryOp)) for e in node.elts]): # Split elements onto multiple lines result = '[\n' self.level += 1 @@ -143,8 +145,8 @@ def visit_Dict(self, node): """ Return a pretty representation of the dict represented by `node`. """ - if (any([not self._is_string_or_number(e) for e in node.keys]) - or any([not self._is_string_or_number(e) for e in node.values])): + if (any([not self._is_simple_constant(e) for e in node.keys]) + or any([not self._is_simple_constant(e) for e in node.values])): # Split elements onto multiple lines result = '{\n' self.level += 1 @@ -167,6 +169,8 @@ def visit_Constant(self, node): """ if isinstance(node.value, str): result = repr(node.value) + elif isinstance(node.value, bool): + result = repr(node.value) elif isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool): result = '{0:g}'.format(node.value) else: diff --git a/test/arkane/arkaneOutputTest.py b/test/arkane/arkaneOutputTest.py index adde2c6873a..fa1347765d8 100644 --- a/test/arkane/arkaneOutputTest.py +++ b/test/arkane/arkaneOutputTest.py @@ -146,8 +146,8 @@ def test_prettify(self): ], 'kJ/mol', ), - quantum = None, - semiclassical = None, + quantum = True, + semiclassical = False, ), ], spin_multiplicity = 2, From 3ff6418cdebed574b15ca3b4d266c46989b5a227 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 23:33:51 -0400 Subject: [PATCH 380/700] Return NaN arrays from underdetermined confidence intervals Scalar np.nan is not iterable, so callers that zip or index the returned ci/covariance would raise TypeError when dof <= 0. The efficiency shortcut suggested in code review introduced this error. It looked good in principle, but by committing it through the "accept suggestion" on the PR, we skipped testing if it actually works. It didn't. Anyway, I hope this fixes it. --- arkane/encorr/bac.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/arkane/encorr/bac.py b/arkane/encorr/bac.py index da1cc5d9075..c2e2ccbda07 100644 --- a/arkane/encorr/bac.py +++ b/arkane/encorr/bac.py @@ -1094,7 +1094,7 @@ def get_confidence_intervals(x: np.ndarray, e = y - ypred # Residuals dof = n - p if dof <= 0: - return np.nan, np.nan + return np.full(p, np.nan), np.full((p, p), np.nan) sigma2 = e.T @ weights @ e / dof # MSE cov = sigma2 * np.linalg.inv(x.T @ weights @ x) # covariance matrix se = np.sqrt(np.diag(cov)) # standard error From c67c2fc64bb8a74cebdc9433c0b11650947218ce Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 14:52:35 -0400 Subject: [PATCH 381/700] Add CLAUDE.md with build, test, and Cython conventions Complements .github/copilot-instructions.md with the non-obvious mechanics: the .installed sentinel, settings.pxi auto-generation, which .py files are cythonized, pytest discovery patterns, the camelCase input-file DSL vs snake_case Python API, and how to add regression tests. Co-Authored-By: Claude Opus 4.7 --- CLAUDE.md | 139 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100644 CLAUDE.md diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 00000000000..9e4d754bcf5 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,139 @@ +# CLAUDE.md + +Guidance for AI agents working in this repo. Also read [.github/copilot-instructions.md](.github/copilot-instructions.md) for project overview, package layout, and code patterns. This file focuses on the non-obvious mechanics of building, testing, and contributing. + +## What this repo is + +**RMG-Py** = Reaction Mechanism Generator (chemical kinetics mechanism generator). Two installable packages: `rmgpy/` (mechanism generation) and `arkane/` (statistical mechanics from QM calculations). Heavy use of Cython for performance. Depends on a sibling repo **RMG-database** for thermo/kinetics data. + +Entry points: +- `rmg.py ` — runs RMG on a Python-style input file (camelCase syntax — see `examples/rmg/minimal/input.py`) +- `Arkane.py ` — runs Arkane +- Both are also installed as console scripts (`rmg.py`, `Arkane.py`) via `setup.py`. They thin-wrap `rmgpy.__main__:main` / `arkane.__main__:main`. +- Scripts under `scripts/` are also installed (e.g. `simulate.py`, `diffModels.py`, `mergeModels.py`, `rmg2to3.py`). + +## Setup + +The conda env is the only supported install path. Python is pinned `>=3.9,<3.12`. + +```bash +conda env create --file environment.yml # creates env named `rmg_env` +conda activate rmg_env +git clone https://github.com/ReactionMechanismGenerator/RMG-database ../RMG-database +make install +``` + +`make install` runs `python utilities.py check-pydas` (which writes [rmgpy/solver/settings.pxi](rmgpy/solver/settings.pxi) — see Cython section), then `pip install --no-build-isolation -vv -e .`, then touches a `.installed` sentinel. Subsequent `make` invocations skip reinstall unless the sentinel is missing. + +**Always keep [environment.yml](environment.yml) and [.conda/meta.yaml](.conda/meta.yaml) in sync** — both define runtime deps and CI builds from `meta.yaml` for the conda package. + +Optional pieces: +- `./install_rms.sh` — installs ReactionMechanismSimulator (Julia-based reactor backend). Required for `rms*` reactor types in input files. Honors `RMS_INSTALLER={continuous,standard,developer}` and `RMS_BRANCH` (default `for_rmg`). +- `make q2dtor` — clones Q2DTor into `external/` for 2D rotor calculations in Arkane. + +## Build / Cython + +Cython modules are listed explicitly in `setup.py` `ext_modules`. **Some `.py` files are cythonized** (not just `.pyx`): e.g. `rmgpy/molecule/molecule.py`, `group.py`, `atomtype.py`, `rmgpy/species.py`, `rmgpy/reaction.py`, `rmgpy/quantity.py`, `rmgpy/constants.py`. If you edit one of these, **rebuild** — the `.so` is what gets imported, not the `.py`. + +Workflow: +- `make build` — incremental in-place `setup.py build_ext --inplace`. Fast. Use this after editing `.pyx`/`.pxd`/cythonized `.py`. +- `make` (default `all`) — checks deps, ensures `.installed` sentinel, then `make build`. Safe go-to. +- `make clean` — removes `.so`, `.pyc`, generated `.c`, `build/`, and `.installed`. Also `pip uninstall`s the package. +- `make decython` — deletes most `.so` files (keeps `_statmech.so`, `quantity.so`, and `rmgpy/solver/*.so`) so pure Python is loaded for debugging. **Pure Python mode is not reliably tested**; expect breakage. + +Cython conventions in this repo: +- Compile language level is Python 3. +- Pair every public `cdef class` / `cpdef` method with a `.pxd` declaration. +- New extension files **must be added to `ext_modules` in `setup.py`** or they will silently not be built. +- The DASPK/DASSL solver is selected at compile time via `rmgpy/solver/settings.pxi` (auto-written by `utilities.py check-pydas` from whatever PyDAS variant is installed). Do not commit changes to `settings.pxi`. +- macOS-specific: `setup.py` deduplicates `-Wl,-rpath` flags from sysconfig before invoking Cython, to work around an LC_RPATH issue with conda-forge's Python on darwin. Don't remove that block. + +## Tests + +Configured in [pytest.ini](pytest.ini): `testpaths = test`, `python_files = *Test.py`, `python_classes = *Test Test*`. Tests live under `test/` mirroring `rmgpy/` and `arkane/`. + +Default pytest flags include `-s -vv --keep-duplicates` and coverage (`--cov=arkane --cov=rmgpy --cov-report html`). `test/regression/` is excluded. + +Markers (from `pytest.ini`): +- `@pytest.mark.functional` — slower functional tests +- `@pytest.mark.database` — tests that require RMG-database to be cloned and loaded +- Unmarked = unit tests + +Make targets: +```bash +make test # unit tests only (excludes functional, database) +make test-functional +make test-database +make test-all # everything +``` + +Run a subset directly: +```bash +pytest test/rmgpy/molecule/atomtypeTest.py +pytest -k "test_pattern" +pytest -m "functional" +``` + +`pytest-xdist` (`-n auto`) is supported but **incompatible with RMS/Julia** — only use when RMS is not installed. + +`test/conftest.py` forces `multiprocessing.set_start_method('fork')` and silences OpenBabel error logging. Be aware of the `fork` start method when adding tests that touch multiprocessing. + +### Regression tests + +Separate from pytest. Each `test/regression//` has an `input.py`. CI runs `python rmg.py test/regression//input.py` and diffs core/edge models against artifacts produced on `main`. Locally you can reproduce a single one: +```bash +python rmg.py test/regression/superminimal/input.py +python scripts/checkModels.py ... # (see .github/workflows/CI.yml for arg shape) +``` +Adding a new regression test means editing the **two lists** in [.github/workflows/CI.yml](.github/workflows/CI.yml) (Execution + Comparison steps); the first PR will fail CI until baseline artifacts exist on `main`. + +The `Makefile` also has `eg0`-`eg10` targets that copy example inputs into `testing//` and run `rmg.py` — useful for ad-hoc end-to-end smoke testing (`eg0` is fastest). + +## Linting / formatting / typing + +There is **no configured linter, formatter, or type checker** in this repo (no `pyproject.toml`, `ruff.toml`, `.flake8`, `mypy.ini`, or `pre-commit` config). The only style guidance is "follow PEP 8 for new code, but don't churn existing code just for style." Don't run `black`/`ruff format`/`isort` over the tree as part of unrelated changes — diffs balloon and reviews stall. + +## Database integration + +RMG looks up `database.directory` in this order: +1. `database.load(path=...)` arg in code +2. `rmgrc` in cwd +3. `~/.rmg/rmgrc` +4. `rmgpy/rmgrc` (alongside the package) +5. Default: `../RMG-database/input` relative to RMG-Py source + +Template: [rmgpy/rmgrc_template](rmgpy/rmgrc_template). Copy it (don't edit in place — it's overwritten on install). In CI, the database is checked out at the branch named in `RMG_DATABASE_BRANCH` (env var in [.github/workflows/CI.yml](.github/workflows/CI.yml)); change that line if your PR depends on an unmerged database branch. + +## Conventions + +- **Python API uses `snake_case`**. The mass rename happened in the Python 3 transition (see `scripts/rmg2to3.py` — automated converter for old code). +- **Input file DSL keeps `camelCase`** (`thermoLibraries`, `simpleReactor`, `terminationConversion`, ...) for backward compatibility. When adding a new input keyword, follow camelCase and update [documentation/source/users/rmg/input.rst](documentation/source/users/rmg/input.rst). +- All source files require the MIT license header (template lives in [LICENSE.txt](LICENSE.txt); `python utilities.py update-headers` re-applies it across `.py`/`.pyx`/`.pxd` in `rmgpy/`, `scripts/`, and the root). +- Use `logging` not `print`. +- Don't reach for `__init__.py`-as-namespace imports across cython modules; use `cimport rmgpy.constants as constants` etc. + +## Documentation + +Sphinx docs in `documentation/source/`. Build with `make documentation` (calls `make -C documentation html`). Output: `documentation/build/html/index.html`. Built with the standard `rmg_env` (no separate doc env). + +When changing things, also update: +- **Input file syntax / new options** → [documentation/source/users/rmg/input.rst](documentation/source/users/rmg/input.rst) (this is treated as required by reviewers). +- **New public API** → ensure docstrings exist; add module to a toctree under `documentation/source/reference/` if the module is new. API docs are auto-generated via `sphinx.ext.autodoc`. +- **New user-facing feature** → mention in `documentation/source/users/rmg/features.rst` or a sibling `.rst`. +- **Behavior change** → relevant section of the user guide (`users/rmg/` or `users/arkane/`). + +The `gh-pages` branch hosts the live site; CI publishes on push to `main`. + +## CI + +- [.github/workflows/CI.yml](.github/workflows/CI.yml): build + tests on Linux (ubuntu-latest, all Python versions, with and without RMS) and macOS (latest Python only). Linux runs `make test-all`; other matrix entries run only unit tests. Regression job runs separately on `ubuntu-latest`. +- [.github/workflows/conda_build.yml](.github/workflows/conda_build.yml): builds the conda package from [.conda/meta.yaml](.conda/meta.yaml). +- [.github/workflows/docs.yml](.github/workflows/docs.yml): Sphinx build + publish to `gh-pages`. + +## Quick gotchas + +- **Edits to `.pyx`/`.pxd`/cythonized `.py` won't take effect until you rebuild** (`make build`). Mysterious unchanged behavior is almost always a stale `.so`. +- **`.so` files persist across branch switches.** When chasing a weird bug after a checkout, `make clean && make` before debugging. +- **Don't use `--no-verify` or skip Cython rebuilds** to make a commit go through; the underlying issue will resurface in CI. +- **Functional/database tests need RMG-database checked out** at a compatible branch in `../RMG-database`. +- **RMS reactor types in input files require Julia** — without `install_rms.sh` they'll fail at runtime, not import. From 69853d709fe116e14f8a1262f77a4a3531ea882e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 15:18:49 -0400 Subject: [PATCH 382/700] Fix copilot-instructions accuracy on Cython and make targets MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Several .py files in the repo are cythonized (e.g. species.py, reaction.py, quantity.py, most of rmgpy/molecule/) — they have .pxd siblings and need rebuilding after edits, just like .pyx files. The old wording suggested only .pyx/.pxd needed recompilation, which is misleading. Also document make build (the fast incremental Cython rebuild), the .installed sentinel that turns repeat `make install` into a no-op, and correct the description of make decython, which keeps a few .so files (statmech, quantity, solver) rather than wiping all of them. Co-Authored-By: Claude Opus 4.7 --- .github/copilot-instructions.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 44ff819ea38..2ca3150a54c 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -22,21 +22,24 @@ RMG-Py is the Reaction Mechanism Generator - an automatic chemical kinetics mech ### Cython Architecture Performance-critical code uses Cython (`.pyx` files) with declaration files (`.pxd`): -- Always pair `.pyx` with `.pxd` for public cdef classes/methods +- Some `.py` files are also cythonized — they have a `.pxd` sibling and are listed in `setup.py` `ext_modules` (e.g. `rmgpy/species.py`, `rmgpy/reaction.py`, `rmgpy/quantity.py`, `rmgpy/constants.py`, and most of `rmgpy/molecule/`). The compiled `.so` is what gets imported, so edits won't take effect until rebuilt. +- Always pair `.pyx` (or cythonized `.py`) with `.pxd` for public cdef classes/methods - Use `cpdef` for methods callable from both Python and Cython - Use `cimport` for Cython-level imports (e.g., `cimport rmgpy.constants as constants`) - Register new Cython modules in `setup.py` `ext_modules` list -- Remember to re-compile (e.g. run `make`) after modifying any `.pyx` or `.pxd` files, or if there seem to be weird bugs in them. +- Remember to re-compile (`make build`) after modifying any `.pyx`, `.pxd`, or cythonized `.py` file, or if there seem to be weird bugs in them. ## Development Commands ```bash -make install # Build Cython extensions and install in editable mode +make install # First-time pip editable install + Cython build. Writes a .installed sentinel; subsequent `make install` is a no-op until `make clean`. +make build # Incremental in-place Cython rebuild (`setup.py build_ext --inplace`). Fast — use this after editing .pyx/.pxd/cythonized .py. +make # Default target: dep check, install if needed (via sentinel), then `make build`. Safe go-to. make test # Run unit tests (excludes functional/database tests) make test-functional # Run functional tests make test-database # Run database tests make test-all # Run all tests -make clean # Remove build artifacts -make decython # Remove .so files for "pure Python" debugging. Pure python mode is not reliably tested and might not work. +make clean # Remove .so/.pyc/.c build artifacts, the build/ dir, the .installed sentinel, and pip-uninstall the package. +make decython # Remove most .so files for "pure Python" debugging (keeps _statmech.so, quantity.so, and rmgpy/solver/*.so). Pure python mode is not reliably tested and might not work. make documentation # Build Sphinx docs ``` From aed7255cf18380390fcb076e295e54909ab757f2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 15:22:54 -0400 Subject: [PATCH 383/700] Some manual tweaks to CLAUDE.md --- CLAUDE.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 9e4d754bcf5..740871419b3 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -7,7 +7,7 @@ Guidance for AI agents working in this repo. Also read [.github/copilot-instruct **RMG-Py** = Reaction Mechanism Generator (chemical kinetics mechanism generator). Two installable packages: `rmgpy/` (mechanism generation) and `arkane/` (statistical mechanics from QM calculations). Heavy use of Cython for performance. Depends on a sibling repo **RMG-database** for thermo/kinetics data. Entry points: -- `rmg.py ` — runs RMG on a Python-style input file (camelCase syntax — see `examples/rmg/minimal/input.py`) +- `rmg.py ` — runs RMG on a Python-style input file (see `examples/rmg/minimal/input.py`) - `Arkane.py ` — runs Arkane - Both are also installed as console scripts (`rmg.py`, `Arkane.py`) via `setup.py`. They thin-wrap `rmgpy.__main__:main` / `arkane.__main__:main`. - Scripts under `scripts/` are also installed (e.g. `simulate.py`, `diffModels.py`, `mergeModels.py`, `rmg2to3.py`). @@ -106,7 +106,7 @@ Template: [rmgpy/rmgrc_template](rmgpy/rmgrc_template). Copy it (don't edit in p ## Conventions -- **Python API uses `snake_case`**. The mass rename happened in the Python 3 transition (see `scripts/rmg2to3.py` — automated converter for old code). +- **Python API uses `snake_case`**. - **Input file DSL keeps `camelCase`** (`thermoLibraries`, `simpleReactor`, `terminationConversion`, ...) for backward compatibility. When adding a new input keyword, follow camelCase and update [documentation/source/users/rmg/input.rst](documentation/source/users/rmg/input.rst). - All source files require the MIT license header (template lives in [LICENSE.txt](LICENSE.txt); `python utilities.py update-headers` re-applies it across `.py`/`.pyx`/`.pxd` in `rmgpy/`, `scripts/`, and the root). - Use `logging` not `print`. From 083e6155bbe8f5d22efac013630d87ee123abbe9 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Thu, 7 May 2026 15:44:11 -0400 Subject: [PATCH 384/700] Tell Claude to update the CLAUDE.md file. --- CLAUDE.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/CLAUDE.md b/CLAUDE.md index 740871419b3..4dcc2c53e21 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -122,6 +122,9 @@ When changing things, also update: - **New user-facing feature** → mention in `documentation/source/users/rmg/features.rst` or a sibling `.rst`. - **Behavior change** → relevant section of the user guide (`users/rmg/` or `users/arkane/`). +You should keep this documentation (CLAUDE.md) up to date as needed. +Always make changes to this file in a separate commit for clarity, and explain in detail to the user why changes were necessary. + The `gh-pages` branch hosts the live site; CI publishes on push to `main`. ## CI From 3cc60a4b30cbea9880fc2ce136ab636e14ccfd2e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 7 May 2026 15:46:37 -0400 Subject: [PATCH 385/700] Tell Claude how to write git commit messages. They should include a motivation and justification in the body of the message. The *why* is often missing from context, and the message is where it should go. Apparently a lot of coding agents were trained on lazy commit histories :-) --- CLAUDE.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CLAUDE.md b/CLAUDE.md index 4dcc2c53e21..12c3d571bd5 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -111,6 +111,7 @@ Template: [rmgpy/rmgrc_template](rmgpy/rmgrc_template). Copy it (don't edit in p - All source files require the MIT license header (template lives in [LICENSE.txt](LICENSE.txt); `python utilities.py update-headers` re-applies it across `.py`/`.pyx`/`.pxd` in `rmgpy/`, `scripts/`, and the root). - Use `logging` not `print`. - Don't reach for `__init__.py`-as-namespace imports across cython modules; use `cimport rmgpy.constants as constants` etc. +- Git commit messages should include a short summary (one line), followed by a blank line, then a more detailed description that explains the motivation and rationale for the change, so that a human code reviewer can understand without the context of the conversation. ## Documentation From 7ecf4886779862ef928382ffd9af429c36cadd44 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 3 May 2026 16:33:09 -0400 Subject: [PATCH 386/700] add ADS explanation to docstring of extract_source_from_comment --- rmgpy/data/thermo.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 2ab242de81b..ba748fa2809 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -2716,11 +2716,13 @@ def extract_source_from_comments(self, species): Parses the verbose string of comments from the thermo data of the species object, and extracts the thermo sources. - Returns a dictionary with keys of either 'Library', 'QM', and/or 'GAV'. + Returns a dictionary with keys of 'Library', 'QM', 'ADS', and/or 'GAV'. Commonly, species thermo are estimated using only one of these sources. However, a radical can be estimated with more than one type of source, for instance a saturated library value and a GAV HBI correction, or a QM saturated value - and a GAV HBI correction. + and a GAV HBI correction. Adsorbates can be estimated using a single library + for the adsorbate or a combination of a gas phase library for the + gas phase portion and an adsorption correction. source = {'Library': String_Name_of_Library_Used, 'QM': String_of_Method_Used, From 716c49fca4ab98210631904cbbd0b326094d7199 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 13 Apr 2026 12:22:19 -0400 Subject: [PATCH 387/700] make uncertainties add in quadrature --- rmgpy/tools/uncertainty.py | 64 +++++++++++++++++------------ test/rmgpy/tools/uncertaintyTest.py | 19 ++++----- 2 files changed, 46 insertions(+), 37 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 4321b679db5..06a27745c1f 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -43,7 +43,7 @@ class ThermoParameterUncertainty(object): This class is an engine that generates the species uncertainty based on its thermo sources. """ - def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.1, dG_ADS_correction=6.918, dG_surf_lib=6.918): + def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.316, dG_ADS_correction=6.918, dG_surf_lib=6.918): """ Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values in units of kcal/mol. @@ -62,22 +62,22 @@ def get_uncertainty_value(self, source): """ Retrieve the uncertainty value in kcal/mol when the source of the thermo of a species is given. """ - dG = 0.0 + varG = 0.0 if 'Library' in source: - dG += self.dG_library + varG += self.dG_library ** 2 if 'Surface_Library' in source: - dG += self.dG_surf_lib + varG += self.dG_surf_lib ** 2 if 'QM' in source: - dG += self.dG_QM + varG += self.dG_QM ** 2 if 'GAV' in source: - dG += self.dG_GAV # Add a fixed uncertainty for the GAV method + varG += self.dG_GAV ** 2 # Add a fixed uncertainty for the GAV method for group_type, group_entries in source['GAV'].items(): group_weights = [groupTuple[-1] for groupTuple in group_entries] - dG += np.sum([weight * self.dG_group for weight in group_weights]) + varG += np.sum([weight ** 2 * self.dG_group ** 2 for weight in group_weights]) if 'ADS' in source: - dG += self.dG_ADS_correction # Add adsorption correction uncertainty + varG += self.dG_ADS_correction ** 2 # Add adsorption correction uncertainty - return dG + return np.sqrt(varG) def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_group_type=None): """ @@ -170,24 +170,24 @@ def get_uncertainty_value(self, source): """ Retrieve the dlnk uncertainty when the source of the reaction kinetics are given """ - dlnk = 0.0 + varlnk = 0.0 if 'Library' in source: # Should be a single library reaction source - dlnk += self.dlnk_library + varlnk += self.dlnk_library ** 2 elif 'Surface_Library' in source: # Should be a single library reaction source - dlnk += self.dlnk_surf_library + varlnk += self.dlnk_surf_library ** 2 elif 'PDep' in source: # Should be a single pdep reaction source - dlnk += self.dlnk_pdep + varlnk += self.dlnk_pdep ** 2 elif 'Training' in source: # Should be a single training reaction # Although some training entries may be used in reverse, - # We still consider the kinetics to be directly dependent + # We still consider the kinetics to be directly dependent if 'surface' in source['Training'][0].lower(): - dlnk += self.dlnk_surf_training + varlnk += self.dlnk_surf_training ** 2 else: - dlnk += self.dlnk_training + varlnk += self.dlnk_training ** 2 elif 'Rate Rules' in source: family_label = source['Rate Rules'][0] source_dict = source['Rate Rules'][1] @@ -195,14 +195,14 @@ def get_uncertainty_value(self, source): rule_weights = [ruleTuple[-1] for ruleTuple in source_dict['rules']] training_weights = [trainingTuple[-1] for trainingTuple in source_dict['training']] - dlnk += self.dlnk_family + varlnk += self.dlnk_family ** 2 N = len(rule_weights) + len(training_weights) if 'node_std_dev' in source_dict: # Handle autogen BM trees if source_dict['node_std_dev'] < 0: raise ValueError('Invalid value for std dev of kinetics family rule node') - dlnk += source_dict['node_std_dev'] + varlnk += np.float_power(source_dict['node_std_dev'], 2.0) if source_dict['node_n_train'] is None: raise ValueError('Invalid number of training reactions for kinetics family rule node') N = source_dict['node_n_train'] @@ -211,28 +211,28 @@ def get_uncertainty_value(self, source): # every node template has its own fitted rate rule by definition, but here we use the # number of training reactions as an approximation of the node's specificity/generality # and add a penalty for being too general (large # of training reactions) - dlnk += np.log10(N + 1) * self.dlnk_nonexact + varlnk += (np.log10(N + 1) * self.dlnk_nonexact) ** 2 else: # Handle hand-made trees if not exact: # nonexactness contribution increases as N increases - dlnk += np.log10(N + 1) * self.dlnk_nonexact + varlnk += (np.log10(N + 1) * self.dlnk_nonexact) ** 2 if 'surface' in family_label.lower(): - dlnk += np.sum([weight * self.dlnk_surf_rule for weight in rule_weights]) - dlnk += np.sum([weight * self.dlnk_surf_training for weight in training_weights]) + varlnk += np.sum([weight ** 2 * self.dlnk_surf_rule ** 2 for weight in rule_weights]) + varlnk += np.sum([weight ** 2 * self.dlnk_surf_training ** 2 for weight in training_weights]) else: # Add the contributions from rules - dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights]) + varlnk += np.sum([weight ** 2 * self.dlnk_rule ** 2 for weight in rule_weights]) # Add the contributions from training # Even though these source from training reactions, we actually # use the uncertainty for rate rules, since these are now approximations # of the original reaction. We consider these to be independent of original the training # parameters because the rate rules may be reversing the training reactions, # which leads to more complicated dependence - dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights]) + varlnk += np.sum([weight ** 2 * self.dlnk_rule ** 2 for weight in training_weights]) - return dlnk + return np.sqrt(varlnk) def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_family=None): """ @@ -442,10 +442,16 @@ def extract_sources_from_model(self): """ self.species_sources_dict = {} self.extra_species = [] + allowed_source_keys = {'Library', 'QM', 'GAV', 'ADS'} for species in self.species_list: if species not in self.extra_species: source = self.database.thermo.extract_source_from_comments(species) - assert source.keys() <= {'Library', 'QM', 'GAV', 'ADS'}, 'Source of thermo must be either Library, QM, GAV, or ADS' + unexpected_source_keys = set(source.keys()) - allowed_source_keys + if unexpected_source_keys: + raise ValueError( + f'Source of thermo must be either Library, QM, GAV, or ADS; ' + f'got unexpected source keys {unexpected_source_keys} for species {species.label}' + ) # Now prep the source data # Do not alter the GAV information, but reassign QM and Library sources to the species indices that they came from @@ -501,7 +507,11 @@ def extract_sources_from_model(self): elif len(source) == 3: # combination of adsorption correction, GAV (radical), and Library/ML - assert species.contains_surface_site(), 'only surface species should have 3 sources: adsorption correction, GAV, library/ML' + if not species.contains_surface_site(): + raise ValueError( + f'Only surface species should have 3 thermo sources (adsorption correction, GAV, and library/QM); ' + f'got species={species.label}, source={source}' + ) # retrieve the desorbed version of the surface species-- the thing the adsorption correction was applied to during thermo estimation dummy_gas_species = Species() diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index a47866eef49..d96c4e36b2e 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -169,13 +169,12 @@ def test_uncertainty_assignment(self): np.testing.assert_allclose( thermo_unc, - [1.5, 1.5, 2.0, 1.9, 3.1, 1.5, 1.9, 2.0, 2.0, 1.9, 2.2, 1.9, 2.0, 1.5, 3.1, 1.9, 1.5, 2.0, 1.7, 1.8, 1.8, 1.9, 1.8, 1.9, 1.9], + [1.5, 1.5, 1.7745, 1.7461, 2.1447, 1.5, 1.6879, 1.7173, 1.7745, 1.7461, 1.7745, 1.7461, 1.7745, 1.5, 2.1447, 1.6879, 1.5, 1.7745, 1.6277, 1.6581, 1.6581, 1.6879, 1.5967, 1.6277, 1.6277], rtol=1e-4, ) np.testing.assert_allclose( kinetic_unc, - # the 7.81 value comes from the SIDT tree node uncertainty: 5.756 + non-exact penalty for N=1: log10(1+1) * 3.5 + family uncertainty: 1.0 - [0.5, 1.5, 3.169924, 3.169924, 2.553605, 0.5, 2.0, 7.81, 7.81, 0.5], + [0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 5.9369, 5.9369, 0.5], rtol=1e-4 ) @@ -185,13 +184,13 @@ def test_specific_species_uncertainties(self): """ expected_results = { # order is (total_uncertainty, [group_names], [group_counts]) - 'CCCC': (1.9, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]), - 'CCCCCCCCCC': (2.5, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]), - 'CC(OO)CC': (2.1, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]), - 'C=NCC': (1.9, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]), - 'C=C': (1.7, ['Cds-CdsHH'], [2]), - 'C*': (10.018, ['CH3'], [1]), # Gas library + radical + adsorption correction - 'O=[CH]*': (8.618, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction + 'CCCC': (1.7460950718675086, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]), + 'CCCCCCCCCC': (3.006693865361088, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]), + 'CC(OO)CC': (1.7460950718675086, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]), + 'C=NCC': (1.6277051330016747, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]), + 'C=C': (1.6277051330016747, ['Cds-CdsHH'], [2]), + 'C*': (7.242829557569335, ['CH3'], [1]), # Gas library + radical + adsorption correction + 'O=[CH]*': (7.0928439994123655, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction } uncertainty = rmgpy.tools.uncertainty.Uncertainty() From b07896d121fdf56a32ce55a26b44849f4cf99dd8 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 15 Apr 2026 17:34:12 -0400 Subject: [PATCH 388/700] Use dG_group=0.7159 kcal/mol in uncertainty tool This value was fitted to median group additivity errors for 564 species with quality thermo libraries See: https://github.com/comocheng/uncertainty_estimator/blob/main/uncertainty_tool_dev/demos/quadrature/specific_examples.ipynb --- rmgpy/tools/uncertainty.py | 2 +- test/rmgpy/tools/uncertaintyTest.py | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 06a27745c1f..df8eb416657 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -43,7 +43,7 @@ class ThermoParameterUncertainty(object): This class is an engine that generates the species uncertainty based on its thermo sources. """ - def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.316, dG_ADS_correction=6.918, dG_surf_lib=6.918): + def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.7159, dG_ADS_correction=6.918, dG_surf_lib=6.918): """ Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values in units of kcal/mol. diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index d96c4e36b2e..14a4e26f37a 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -169,7 +169,7 @@ def test_uncertainty_assignment(self): np.testing.assert_allclose( thermo_unc, - [1.5, 1.5, 1.7745, 1.7461, 2.1447, 1.5, 1.6879, 1.7173, 1.7745, 1.7461, 1.7745, 1.7461, 1.7745, 1.5, 2.1447, 1.6879, 1.5, 1.7745, 1.6277, 1.6581, 1.6581, 1.6879, 1.5967, 1.6277, 1.6277], + [1.5, 1.5, 2.61966, 2.51994, 2.23886, 1.5, 2.30761, 2.41611, 2.61966, 2.51994, 2.61966, 2.51994, 2.61966, 1.5, 2.23886, 2.30761, 1.5, 2.61966, 2.07366, 2.19376, 2.19376, 2.30761, 1.94616, 2.07366, 2.07366], rtol=1e-4, ) np.testing.assert_allclose( @@ -184,13 +184,13 @@ def test_specific_species_uncertainties(self): """ expected_results = { # order is (total_uncertainty, [group_names], [group_counts]) - 'CCCC': (1.7460950718675086, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]), - 'CCCCCCCCCC': (3.006693865361088, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]), - 'CC(OO)CC': (1.7460950718675086, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]), - 'C=NCC': (1.6277051330016747, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]), - 'C=C': (1.6277051330016747, ['Cds-CdsHH'], [2]), - 'C*': (7.242829557569335, ['CH3'], [1]), # Gas library + radical + adsorption correction - 'O=[CH]*': (7.0928439994123655, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction + 'CCCC': (2.5199409675625337, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]), + 'CCCCCCCCCC': (6.091048438487417, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]), + 'CC(OO)CC': (2.5199409675625337, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]), + 'C=NCC': (2.07365649035707, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]), + 'C=C': (2.07365649035707, ['Cds-CdsHH'], [2]), + 'C*': (7.271261019245562, ['CH3'], [1]), # Gas library + radical + adsorption correction + 'O=[CH]*': (7.150786643440007, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction } uncertainty = rmgpy.tools.uncertainty.Uncertainty() From 8286ad7dc58bb97d4e0361b1c8f91bc400d94a81 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 27 Apr 2026 16:35:57 -0400 Subject: [PATCH 389/700] update local uncertainty notebook to explain adding in quadrature --- ipython/local_uncertainty.ipynb | 55 +++++++++++++++++++++------------ 1 file changed, 36 insertions(+), 19 deletions(-) diff --git a/ipython/local_uncertainty.ipynb b/ipython/local_uncertainty.ipynb index 9afc08d09fe..d0d9d24a2f1 100644 --- a/ipython/local_uncertainty.ipynb +++ b/ipython/local_uncertainty.ipynb @@ -114,11 +114,29 @@ "\n", "$$\\Delta G = \\frac{1}{\\sqrt{12}}(G_{max} - G_{min})$$\n", "\n", - "Several parameters are used to formulate $\\Delta G$. These are $\\Delta G_\\mathrm{library}$, $\\Delta G_\\mathrm{QM}$, $\\Delta G_\\mathrm{GAV}$, and $\\Delta _\\mathrm{group}$.\n", + "But first, to formulate $G$, we need to compile all the uncertainty sources. These are $ G_\\mathrm{library}$, $ G_\\mathrm{QM}$, $ G_\\mathrm{GAV}$, and $G _\\mathrm{group}$. We treat each as continuous random variable and add them to get the species uncertainty.\n", " \n", - "$$\\Delta G = \\delta_\\mathrm{library} \\Delta G_\\mathrm{library} + \\delta_\\mathrm{QM} \\Delta G_\\mathrm{QM} + \\delta_\\mathrm{GAV} \\left( \\Delta G_\\mathrm{GAV} + \\sum_{\\mathrm{group}\\; j} d_{j} \\Delta G_{\\mathrm{group},j} \\right)$$\n", + "$$G = \\delta_\\mathrm{library} G_\\mathrm{library} + \\delta_\\mathrm{QM} G_\\mathrm{QM} + \\delta_\\mathrm{GAV} \\left( G_\\mathrm{GAV} + \\sum_{\\mathrm{group}\\; j} d_{j} G_{\\mathrm{group},j} \\right)$$\n", + "\n", + "Here $\\delta$ is the Kronecker delta function which equals one if the species thermochemistry parameter contains the particular source type and $d_{j}$ is the degeneracy (number of appearances) of the thermo group used to construct the species thermochemistry in the group additivity method.\n", + "\n", + "To compute $\\Delta G$, we'll use the property that the variance of the sum of two random variables, $X$ and $Y$, is:\n", + "$$Var(X+Y)=Var(X)+Var(Y)+2Cov(X,Y)$$\n", + "\n", + "If we assume that each uncertainty source is uncorrelated with the others, then the covariance term drops out:\n", + "\n", + "$$Var(X+Y)=Var(X)+Var(Y), \\ \\ \\ \\ \\ X \\neq Y$$\n", + "\n", + "And we can compute the variance of $G$:\n", + "\n", + "$$Var(G) = \\delta_\\mathrm{library} Var(G_\\mathrm{library}) + \\delta_\\mathrm{QM} Var(G_\\mathrm{QM})+\\delta_\\mathrm{GAV} \\left(Var(G_\\mathrm{GAV}) +\\sum_{group\\ j} d_j^2 Var(G_\\mathrm{group\\ j}) \\right)$$\n", + "\n", + "\n", + "The standard deviation $\\Delta G$ is then the square root of that (this is an example of adding in quadrature):\n", + "$$\\Delta(G) = \\sqrt{\\delta_\\mathrm{library} Var(G_\\mathrm{library}) + \\delta_\\mathrm{QM} Var(G_\\mathrm{QM})+\\delta_\\mathrm{GAV} \\left(Var(G_\\mathrm{GAV}) +\\sum_{group\\ j} d_j^2 Var(G_\\mathrm{group\\ j}) \\right)}$$\n", + "\n", + "\n", "\n", - "where $\\delta$ is the Kronecker delta function which equals one if the species thermochemistry parameter contains the particular source type and $d_{j}$ is the degeneracy (number of appearances) of the thermo group used to construct the species thermochemistry in the group additivity method.\n", "\n", "### Kinetics Uncertainty\n", "\n", @@ -130,13 +148,20 @@ "\n", "$$\\Delta \\ln(k) = \\frac{1}{\\sqrt{12}}(\\ln k_{max} - \\ln k_{min})$$\n", "\n", - "The parameters used to formulate $\\Delta \\ln k$ are $\\Delta \\ln k_\\mathrm{library}$, $\\Delta \\ln k_\\mathrm{training}$, $\\Delta \\ln k_\\mathrm{pdep}$, $\\Delta \\ln k_\\mathrm{family}$, $\\Delta \\ln k_\\mathrm{non-exact}$, and $\\Delta \\ln k_\\mathrm{rule}$.\n", + "The sources used to formulate $ \\ln k$ are $ \\ln k_\\mathrm{library}$, $ \\ln k_\\mathrm{training}$, $ \\ln k_\\mathrm{pdep}$, $ \\ln k_\\mathrm{family}$, $ \\ln k_\\mathrm{non-exact}$, and $ \\ln k_\\mathrm{rule}$.\n", + "\n", + "For exact training data matches and library and pdep reactions, the kinetic uncertainty is assigned according to their uncertainty type. For kinetics estimated using RMG's decision trees, the following formula is used to calculate the uncertainty:\n", "\n", - "For library, training, and pdep reactions, the kinetic uncertainty is assigned according to their uncertainty type. For kinetics estimated using RMG's rate rules, the following formula is used to calculate the uncertainty:\n", + "$$ \\ln k_\\mathrm{rate\\; rules} = \\ln k_\\mathrm{family} + \\log_{10}(N+1) \\left(\\ln k_\\mathrm{non-exact}\\right) + \\sum_{\\mathrm{rule}\\; i} w_i \\ln k_{\\mathrm{rule},i}$$\n", "\n", - "$$\\Delta \\ln k_\\mathrm{rate\\; rules} = \\Delta\\ln k_\\mathrm{family} + \\log_{10}(N+1) \\left(\\Delta\\ln k_\\mathrm{non-exact}\\right) + \\sum_{\\mathrm{rule}\\; i} w_i \\Delta \\ln k_{\\mathrm{rule},i}$$\n", + "where N is the total number of rate rules or training reactions used and $w_{i}$ is the weight of the rate rule or training reaction in the averaging scheme for that kinetics estimate.\n", "\n", - "where N is the total number of rate rules used and $w_{i}$ is the weight of the rate rule in the averaging scheme for that kinetics estimate. " + "Once again we use the property of adding variances with the assumption that sources are uncorrelated to each other. The standard deviation then adds in quadrature.\n", + "\n", + "$$\\Delta\\ln k_\\mathrm{rate\\; rules} = \\sqrt{(\\Delta \\ln k_\\mathrm{family})^2 + \\left(\\log_{10}(N+1) \\right)^2\\left(\\Delta \\ln k_\\mathrm{non-exact}\\right)^2 + \\sum_{\\mathrm{rule}\\; i} w_i^2 (\\Delta \\ln k_{\\mathrm{rule},i})^2}$$\n", + "\n", + "\n", + "\n" ] }, { @@ -178,9 +203,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [], "source": [ "result = uncertainty.local_analysis(sensitive_species, correlated=False, number=5, fileformat='.png')\n", @@ -190,9 +213,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [], "source": [ "# Show the uncertainty plots\n", @@ -230,9 +251,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [], "source": [ "uncertainty.assign_parameter_uncertainties(correlated=True)\n", @@ -243,9 +262,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [], "source": [ "# Show the uncertainty plots\n", From 687ed9a6d2abbb921b53ffaf8fef2f1895abc637 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 7 May 2026 09:02:16 -0400 Subject: [PATCH 390/700] uncertainty: change x**2 pattern to x*x for speedup Richard noted that for slow f(x) it might be that f(x)*f(x) is slower than f(x)**2, so I undid a few of those cases when rebasing. But when x is just a number, yes, x*x is faster than x**2. Co-Authored-By: Richard West --- rmgpy/tools/uncertainty.py | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index df8eb416657..75b150db48b 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -64,18 +64,18 @@ def get_uncertainty_value(self, source): """ varG = 0.0 if 'Library' in source: - varG += self.dG_library ** 2 + varG += self.dG_library * self.dG_library if 'Surface_Library' in source: - varG += self.dG_surf_lib ** 2 + varG += self.dG_surf_lib * self.dG_surf_lib if 'QM' in source: - varG += self.dG_QM ** 2 + varG += self.dG_QM * self.dG_QM if 'GAV' in source: - varG += self.dG_GAV ** 2 # Add a fixed uncertainty for the GAV method + varG += self.dG_GAV * self.dG_GAV # Add a fixed uncertainty for the GAV method for group_type, group_entries in source['GAV'].items(): group_weights = [groupTuple[-1] for groupTuple in group_entries] - varG += np.sum([weight ** 2 * self.dG_group ** 2 for weight in group_weights]) + varG += np.sum([weight * weight * self.dG_group * self.dG_group for weight in group_weights]) if 'ADS' in source: - varG += self.dG_ADS_correction ** 2 # Add adsorption correction uncertainty + varG += self.dG_ADS_correction * self.dG_ADS_correction # Add adsorption correction uncertainty return np.sqrt(varG) @@ -173,21 +173,21 @@ def get_uncertainty_value(self, source): varlnk = 0.0 if 'Library' in source: # Should be a single library reaction source - varlnk += self.dlnk_library ** 2 + varlnk += self.dlnk_library * self.dlnk_library elif 'Surface_Library' in source: # Should be a single library reaction source - varlnk += self.dlnk_surf_library ** 2 + varlnk += self.dlnk_surf_library * self.dlnk_surf_library elif 'PDep' in source: # Should be a single pdep reaction source - varlnk += self.dlnk_pdep ** 2 + varlnk += self.dlnk_pdep * self.dlnk_pdep elif 'Training' in source: # Should be a single training reaction # Although some training entries may be used in reverse, # We still consider the kinetics to be directly dependent if 'surface' in source['Training'][0].lower(): - varlnk += self.dlnk_surf_training ** 2 + varlnk += self.dlnk_surf_training * self.dlnk_surf_training else: - varlnk += self.dlnk_training ** 2 + varlnk += self.dlnk_training * self.dlnk_training elif 'Rate Rules' in source: family_label = source['Rate Rules'][0] source_dict = source['Rate Rules'][1] @@ -195,7 +195,7 @@ def get_uncertainty_value(self, source): rule_weights = [ruleTuple[-1] for ruleTuple in source_dict['rules']] training_weights = [trainingTuple[-1] for trainingTuple in source_dict['training']] - varlnk += self.dlnk_family ** 2 + varlnk += self.dlnk_family * self.dlnk_family N = len(rule_weights) + len(training_weights) if 'node_std_dev' in source_dict: @@ -219,18 +219,18 @@ def get_uncertainty_value(self, source): varlnk += (np.log10(N + 1) * self.dlnk_nonexact) ** 2 if 'surface' in family_label.lower(): - varlnk += np.sum([weight ** 2 * self.dlnk_surf_rule ** 2 for weight in rule_weights]) - varlnk += np.sum([weight ** 2 * self.dlnk_surf_training ** 2 for weight in training_weights]) + varlnk += np.sum([weight * weight * self.dlnk_surf_rule * self.dlnk_surf_rule for weight in rule_weights]) + varlnk += np.sum([weight * weight * self.dlnk_surf_training * self.dlnk_surf_training for weight in training_weights]) else: # Add the contributions from rules - varlnk += np.sum([weight ** 2 * self.dlnk_rule ** 2 for weight in rule_weights]) + varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in rule_weights]) # Add the contributions from training # Even though these source from training reactions, we actually # use the uncertainty for rate rules, since these are now approximations # of the original reaction. We consider these to be independent of original the training # parameters because the rate rules may be reversing the training reactions, # which leads to more complicated dependence - varlnk += np.sum([weight ** 2 * self.dlnk_rule ** 2 for weight in training_weights]) + varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in training_weights]) return np.sqrt(varlnk) From 6e41f0e2c9d791620e0ecec4237a3fcf89f3e269 Mon Sep 17 00:00:00 2001 From: Kirk Badger Date: Fri, 17 Apr 2026 15:44:32 -0400 Subject: [PATCH 391/700] adding increment and devrement chanrge for val5 and N atomtypes --- rmgpy/molecule/atomtype.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/atomtype.py b/rmgpy/molecule/atomtype.py index 5511f55dbd9..1edebcdb2fd 100644 --- a/rmgpy/molecule/atomtype.py +++ b/rmgpy/molecule/atomtype.py @@ -711,7 +711,7 @@ def get_features(self): ATOMTYPES['R!H'].set_actions(increment_bond=['R!H'], decrement_bond=['R!H'], form_bond=['R!H'], break_bond=['R!H'], increment_radical=['R!H'], decrement_radical=['R!H'], increment_lone_pair=['R!H'], decrement_lone_pair=['R!H'], increment_charge=['R!H'], decrement_charge=['R!H']) ATOMTYPES['R!H!Val7'].set_actions(increment_bond=['R!H!Val7'], decrement_bond=['R!H!Val7'], form_bond=['R!H!Val7'], break_bond=['R!H!Val7'], increment_radical=['R!H!Val7'], decrement_radical=['R!H!Val7'], increment_lone_pair=['R!H!Val7'], decrement_lone_pair=['R!H!Val7'], increment_charge=[], decrement_charge=[]) ATOMTYPES['Val4'].set_actions(increment_bond=['Val4'], decrement_bond=['Val4'], form_bond=['Val4'], break_bond=['Val4'], increment_radical=['Val4'], decrement_radical=['Val4'], increment_lone_pair=['Val4'], decrement_lone_pair=['Val4'],increment_charge=[], decrement_charge=[]) -ATOMTYPES['Val5'].set_actions(increment_bond=['Val5'], decrement_bond=['Val5'], form_bond=['Val5'], break_bond=['Val5'], increment_radical=['Val5'], decrement_radical=['Val5'], increment_lone_pair=['Val5'], decrement_lone_pair=['Val5'],increment_charge=[], decrement_charge=[]) +ATOMTYPES['Val5'].set_actions(increment_bond=['Val5'], decrement_bond=['Val5'], form_bond=['Val5'], break_bond=['Val5'], increment_radical=['Val5'], decrement_radical=['Val5'], increment_lone_pair=['Val5'], decrement_lone_pair=['Val5'],increment_charge=['Val5'], decrement_charge=['Val5']) ATOMTYPES['Val6'].set_actions(increment_bond=['Val6'], decrement_bond=['Val6'], form_bond=['Val6'], break_bond=['Val6'], increment_radical=['Val6'], decrement_radical=['Val6'], increment_lone_pair=['Val6'], decrement_lone_pair=['Val6'],increment_charge=[], decrement_charge=[]) ATOMTYPES['Val7'].set_actions(increment_bond=['Val7'], decrement_bond=['Val7'], form_bond=['Val7'], break_bond=['Val7'], increment_radical=['Val7'], decrement_radical=['Val7'], increment_lone_pair=['Val7'], decrement_lone_pair=['Val7'],increment_charge=[], decrement_charge=[]) @@ -746,7 +746,7 @@ def get_features(self): ATOMTYPES['C2tc'].set_actions(increment_bond=[], decrement_bond=['C2d'], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=['Ct'], increment_charge=[], decrement_charge=[]) ATOMTYPES['Cq'].set_actions(increment_bond=[], decrement_bond=['Ct'], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=[]) -ATOMTYPES['N'].set_actions(increment_bond=['N'], decrement_bond=['N'], form_bond=['N'], break_bond=['N'], increment_radical=['N'], decrement_radical=['N'], increment_lone_pair=['N'], decrement_lone_pair=['N'],increment_charge=[], decrement_charge=[]) +ATOMTYPES['N'].set_actions(increment_bond=['N'], decrement_bond=['N'], form_bond=['N'], break_bond=['N'], increment_radical=['N'], decrement_radical=['N'], increment_lone_pair=['N'], decrement_lone_pair=['N'],increment_charge=['N'], decrement_charge=['N']) ATOMTYPES['N0sc'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['N0sc'], break_bond=['N0sc'], increment_radical=['N0sc'], decrement_radical=['N0sc'], increment_lone_pair=[], decrement_lone_pair=['N1s', 'N1sc'],increment_charge=[], decrement_charge=[]) ATOMTYPES['N1s'].set_actions(increment_bond=['N1dc'], decrement_bond=[], form_bond=['N1s'], break_bond=['N1s'], increment_radical=['N1s'], decrement_radical=['N1s'], increment_lone_pair=['N0sc'], decrement_lone_pair=['N3s', 'N3sc'],increment_charge=[], decrement_charge=[]) ATOMTYPES['N1sc'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['N1sc'], break_bond=['N1sc'], increment_radical=['N1sc'], decrement_radical=['N1sc'], increment_lone_pair=[], decrement_lone_pair=['N3s', 'N3sc'],increment_charge=[], decrement_charge=[]) From 9902042a71e67ef1293f686732df768099d2c121 Mon Sep 17 00:00:00 2001 From: Kirk Badger Date: Wed, 22 Apr 2026 16:02:54 -0400 Subject: [PATCH 392/700] adding test for surface_dissociation_charge_separtion --- test/rmgpy/data/kinetics/familyTest.py | 50 ++++++++++++ .../groups.py | 76 +++++++++++++++++++ .../rules.py | 39 ++++++++++ .../training/dictionary.txt | 0 .../training/reactions.py | 3 + 5 files changed, 168 insertions(+) create mode 100755 test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py create mode 100755 test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py create mode 100644 test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/dictionary.txt create mode 100644 test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py diff --git a/test/rmgpy/data/kinetics/familyTest.py b/test/rmgpy/data/kinetics/familyTest.py index 7cac1651728..bdecf8148a5 100644 --- a/test/rmgpy/data/kinetics/familyTest.py +++ b/test/rmgpy/data/kinetics/familyTest.py @@ -72,6 +72,7 @@ def setup_class(cls): "R_Addition_COm", "R_Recombination", 'Surface_Proton_Electron_Reduction_Alpha', + 'Surface_Dissociation_Charge_Separation', ], ) cls.family = cls.database.families["intra_H_migration"] @@ -291,6 +292,55 @@ def test_intra__h_migration(self): assert expected_product.is_isomorphic(products[0], mapping) + def test_surface_dissociation_charge_separation(self): + """ + Test that the Surface_Dissociation_Charge_Separation family returns a + properly re-labeled product structure. + This family is its own reverse. + """ + family = self.database.families["Surface_Dissociation_Charge_Separation"] + reactants = [ + Molecule().from_adjacency_list( + """ +1 *3 X u0 p0 c0 {2,S} +2 *1 N u0 p0 c+1 {1,S} {3,D} {4,S} +3 O u0 p2 c0 {2,D} +4 *2 O u0 p3 c-1 {2,S} + """ + ), + Molecule().from_adjacency_list("1 *4 X u0 p0 c0"), + ] + expected_products = [ + Molecule().from_adjacency_list( + """ +1 *3 X u0 p0 c0 {2,S} +2 *1 N u0 p1 c0 {1,S} {3,D} +3 O u0 p2 c0 {2,D} + """ + ), + Molecule().from_adjacency_list( + """ +1 *4 X u0 p0 c0 {2,D} +2 *2 O u0 p2 c0 {1,D} + """ + ), + ] + products = family.apply_recipe(reactants) + + assert len(products) == 2 + + mapping1 = {} + for label, atom in expected_products[0].get_all_labeled_atoms().items(): + mapping1[atom] = products[0].get_labeled_atoms(label)[0] + + assert expected_products[0].is_isomorphic(products[0], mapping1) + + mapping2 = {} + for label, atom in expected_products[1].get_all_labeled_atoms().items(): + mapping2[atom] = products[1].get_labeled_atoms(label)[0] + + assert expected_products[1].is_isomorphic(products[1], mapping2) + def test_h_abstraction(self): """ Test that the H_Abstraction family returns a properly re-labeled product structure. diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py new file mode 100755 index 00000000000..8542339e86b --- /dev/null +++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py @@ -0,0 +1,76 @@ +#!/usr/bin/env python +# encoding: utf-8 + +name = "Surface_Dissociation_Charge_Separation/groups" +shortDesc = u"" +longDesc = u""" +Surface bond fission of one species into two distinct adsorbates. +Atom *1 is bonded to the surface (*3). The image below shows a single bond, +but single and double are possible. What matters is that the bond +between *1 and *2 must be single and have charge separation across it. + + *1[+]--*2[-] *1 *2 + | ----> | || + ~*3~ + ~*4~~ ~*3~ + ~*4~~ + +The rate, which should be in mol/m2/s, +will be given by k * (mol/m2) * (mol/m2) +so k should be in (m2/mol/s) +""" + +template(reactants=["Combined", "VacantSite"], products=["Adsorbate1", "Adsorbate2"], ownReverse=False) + +reverse = "Surface_Association_Charge_Separation" + +reactantNum=2 +productNum=2 + +recipe(actions=[ + ['BREAK_BOND', '*1', 1, '*2'], + ['FORM_BOND', '*2', 1, '*4'], + ['CHANGE_BOND', '*2', 1, '*4'], + ['LOSE_PAIR','*2','1'], + ['GAIN_PAIR', '*1', '1'], + ['LOSE_CHARGE','*1','1'], + ['GAIN_CHARGE', '*2', '1'], +]) + +entry( + index = 1, + label = "Combined", + group = +""" +1 *1 Val5 u0 p0 c+1 {2,S} {3,[S,D]} +2 *2 R!H u0 p[1,2,3] c-1 {1,S} +3 *3 Xo u0 p0 c0 {1,[S,D]} +""", + kinetics = None, +) + +entry( + index = 2, + label="VacantSite", + group = +""" +1 *4 Xv u0 p0 c0 +""", + kinetics = None, +) + +tree( +""" +L1: Combined +L1: VacantSite +""" +) + +forbidden( + label = "Surf", + group = +""" +1 *1 Val5 u0 p0 c+1 {2,S} {3,[S,D]} +2 *2 R!H u0 p[1,2,3] c-1 {1,S} {4,[S,D,T]} +3 *3 Xo u0 p0 c0 {1,[S,D]} +4 Xo u0 c0 {2,[S,D,T]} +""", +) diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py new file mode 100755 index 00000000000..c0683cec7cc --- /dev/null +++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python +# encoding: utf-8 + +name = "Surface_Dissociation_Charge_Separation/rules" +shortDesc = u"" +longDesc = u""" +""" +entry( + index = 1, + label = "Combined;VacantSite", + kinetics = SurfaceArrheniusBEP( + A = (9.88e21, 'cm^2/(mol*s)'), + n = 0, + alpha = 0.52, + E0 = (126, 'kJ/mol'), + Tmin = (200, 'K'), + Tmax = (3000, 'K'), + ), + rank = 0, + shortDesc = u"""Default""", + longDesc = u""" +This BEP is created from a mixture of data in literature taken from the following papers: + +Ma and Schneider +https://doi.org/10.1021/acscatal.8b04251 + +Gomez-Díaz and Lopez +https://pubs.acs.org/doi/10.1021/jp1093349 + +Farberow et al. +https://doi.org/10.1021/cs500668k + +Deng et al. +https://pubs.rsc.org/en/content/articlelanding/2014/ra/c3ra46544f + +and the current manuscript in progress by Badger et al. looking at the effects +of NO on the light out curves for hydrocarbons. +""" +) \ No newline at end of file diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/dictionary.txt b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/dictionary.txt new file mode 100644 index 00000000000..e69de29bb2d diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py new file mode 100644 index 00000000000..4fa90f3a925 --- /dev/null +++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py @@ -0,0 +1,3 @@ +#!/usr/bin/env python +# encoding: utf-8 + From bf6cf96538f95d351fb6de2a08f64e48bf0b4382 Mon Sep 17 00:00:00 2001 From: Kirk Badger Date: Wed, 22 Apr 2026 16:59:21 -0400 Subject: [PATCH 393/700] updated test to assign labels and check forward and reverse template --- test/rmgpy/data/kinetics/familyTest.py | 48 ++++++++++++++------------ 1 file changed, 26 insertions(+), 22 deletions(-) diff --git a/test/rmgpy/data/kinetics/familyTest.py b/test/rmgpy/data/kinetics/familyTest.py index bdecf8148a5..a84ebca11c4 100644 --- a/test/rmgpy/data/kinetics/familyTest.py +++ b/test/rmgpy/data/kinetics/familyTest.py @@ -294,52 +294,56 @@ def test_intra__h_migration(self): def test_surface_dissociation_charge_separation(self): """ - Test that the Surface_Dissociation_Charge_Separation family returns a - properly re-labeled product structure. - This family is its own reverse. + Test that the Surface_Dissociation_Charge_Separation family identifies + reatants and labels them and reacts them properly, and check that the + products are reacted to form the reactants again. """ family = self.database.families["Surface_Dissociation_Charge_Separation"] - reactants = [ + expected_reactants = [ Molecule().from_adjacency_list( """ -1 *3 X u0 p0 c0 {2,S} -2 *1 N u0 p0 c+1 {1,S} {3,D} {4,S} +1 X u0 p0 c0 {2,S} +2 N u0 p0 c+1 {1,S} {3,D} {4,S} 3 O u0 p2 c0 {2,D} -4 *2 O u0 p3 c-1 {2,S} +4 O u0 p3 c-1 {2,S} """ ), - Molecule().from_adjacency_list("1 *4 X u0 p0 c0"), + Molecule().from_adjacency_list("1 X u0 p0 c0"), ] expected_products = [ Molecule().from_adjacency_list( """ -1 *3 X u0 p0 c0 {2,S} -2 *1 N u0 p1 c0 {1,S} {3,D} +1 X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} 3 O u0 p2 c0 {2,D} """ ), Molecule().from_adjacency_list( """ -1 *4 X u0 p0 c0 {2,D} -2 *2 O u0 p2 c0 {1,D} +1 X u0 p0 c0 {2,D} +2 O u0 p2 c0 {1,D} """ ), ] - products = family.apply_recipe(reactants) - assert len(products) == 2 + labeled_rxn = Reaction(reactants=expected_reactants, products=expected_products) + family.add_atom_labels_for_reaction(labeled_rxn) - mapping1 = {} - for label, atom in expected_products[0].get_all_labeled_atoms().items(): - mapping1[atom] = products[0].get_labeled_atoms(label)[0] + fam_products = family.apply_recipe([m.molecule[0] for m in labeled_rxn.reactants]) + assert len(fam_products) == 2 + assert expected_products[0].is_isomorphic(fam_products[0]) + assert expected_products[1].is_isomorphic(fam_products[1]) - assert expected_products[0].is_isomorphic(products[0], mapping1) + fam_reactants = family.apply_recipe(fam_products, forward=False) + assert len(fam_reactants) == 2 + assert expected_reactants[0].is_isomorphic(fam_reactants[0]) + assert expected_reactants[1].is_isomorphic(fam_reactants[1]) - mapping2 = {} - for label, atom in expected_products[1].get_all_labeled_atoms().items(): - mapping2[atom] = products[1].get_labeled_atoms(label)[0] + fam_product_species = [Species(molecule=[p]) for p in fam_products] + fam_reactant_species = [Species(molecule=[r]) for r in fam_reactants] - assert expected_products[1].is_isomorphic(products[1], mapping2) + fam_rxn = Reaction(reactants=fam_reactant_species, products=fam_product_species) + assert fam_rxn.is_isomorphic(labeled_rxn) def test_h_abstraction(self): """ From b8deef966a4f70df1a1952535d270e8aacd8bcb4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 11 Aug 2023 14:10:04 -0400 Subject: [PATCH 394/700] Chemkin read: Tweak error logging. Report the reaction line. Makes debugging easier if it reports the full reaction string. (At this point in the code 'reaction' is partially read) --- rmgpy/chemkin.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 636cbe09264..f5e1917c0e6 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -397,7 +397,7 @@ def _read_kinetics_reaction(line, species_dict, Aunits, Aunits_surf, Eunits): # this identifies reactions like 'H+H+M=H2+M' as opposed to 'H+H(+M)=H2(+M)' as identified above third_body = True elif reactant not in species_dict: - raise ChemkinError('Unexpected reactant "{0}" in reaction {1}.'.format(reactant, reaction)) + raise ChemkinError('Unexpected reactant "{0}" in reaction line {1}.'.format(reactant, line)) else: reactant_species = species_dict[reactant] if not reactant_species.reactive: From 8829ef5ca79107e18c4b872a84ed1bcdff6669ab Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 11 Aug 2023 14:11:11 -0400 Subject: [PATCH 395/700] Quantity: just adding comments. No substantive changes. --- rmgpy/quantity.py | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/rmgpy/quantity.py b/rmgpy/quantity.py index 5d73546d455..877e44b748a 100644 --- a/rmgpy/quantity.py +++ b/rmgpy/quantity.py @@ -840,24 +840,23 @@ def RateCoefficient(*args, **kwargs): # SurfaceRateCoefficient is handled as a special case since it can take various # units depending on the reaction order SURFACERATECOEFFICIENT_CONVERSION_FACTORS = { - (1.0 / pq.s).dimensionality: 1.0, - (pq.m ** 3 / pq.s).dimensionality: 1.0, + (1.0 / pq.s).dimensionality: 1.0, # unimolecular + (pq.m ** 3 / pq.s).dimensionality: 1.0, # single site adsorption (pq.m ** 6 / pq.s).dimensionality: 1.0, (pq.m ** 9 / pq.s).dimensionality: 1.0, - (pq.m ** 3 / (pq.mol * pq.s)).dimensionality: 1.0, + (pq.m ** 3 / (pq.mol * pq.s)).dimensionality: 1.0, # single site adsorption (pq.m ** 6 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0, (pq.m ** 9 / (pq.mol ** 3 * pq.s)).dimensionality: 1.0, - (pq.m ** 2 / pq.s).dimensionality: 1.0, - (pq.m ** 5 / pq.s).dimensionality: 1.0, - (pq.m ** 2 / (pq.mol * pq.s)).dimensionality: 1.0, - (pq.m ** 5 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0, + (pq.m ** 2 / pq.s).dimensionality: 1.0, # bimolecular surface (Langmuir-Hinshelwood) + (pq.m ** 5 / pq.s).dimensionality: 1.0, # dissociative adsorption + (pq.m ** 2 / (pq.mol * pq.s)).dimensionality: 1.0, # bimolecular surface (Langmuir-Hinshelwood) + (pq.m ** 5 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0, # dissociative adsorption (pq.m ** 4 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0, } SURFACERATECOEFFICIENT_COMMON_UNITS = [ 's^-1', # unimolecular 'm^3/(mol*s)', 'cm^3/(mol*s)', 'm^3/(molecule*s)', 'cm^3/(molecule*s)', # single site adsorption - 'm^2/(mol*s)', 'cm^2/(mol*s)', 'm^2/(molecule*s)', 'cm^2/(molecule*s)', - # bimolecular surface (Langmuir-Hinshelwood) + 'm^2/(mol*s)', 'cm^2/(mol*s)', 'm^2/(molecule*s)', 'cm^2/(molecule*s)', # bimolecular surface (Langmuir-Hinshelwood) 'm^5/(mol^2*s)', 'cm^5/(mol^2*s)', 'm^5/(molecule^2*s)', 'cm^5/(molecule^2*s)', # dissociative adsorption 'm^4/(mol^2*s)', 'cm^4/(mol^2*s)', 'm^4/(molecule^2*s)', 'cm^4/(molecule^2*s)', # Surface_Bidentate_Dissociation ] From 694b8a5ce7cdb4946c8a846c1ad42a8087ea7c65 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 11 Aug 2023 14:12:20 -0400 Subject: [PATCH 396/700] Chemkin read: cope with reactions with 4 reactants It needs fifth order units to be specified also to prepare for pressure-dependent reactions. --- rmgpy/chemkin.pyx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index f5e1917c0e6..187f6a06cc5 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1405,6 +1405,7 @@ def read_reactions_block(f, species_dict, read_comments=True): '{0}^3/({1}*{2})'.format(volume_units, molecule_units, time_units), # Second-order '{0}^6/({1}^2*{2})'.format(volume_units, molecule_units, time_units), # Third-order '{0}^9/({1}^3*{2})'.format(volume_units, molecule_units, time_units), # Fourth-order + f"{volume_units}^12/({molecule_units}^4*{time_units})", # Fifth-order ] Aunits_surf = [ @@ -1412,6 +1413,7 @@ def read_reactions_block(f, species_dict, read_comments=True): 's^-1'.format(time_units), # First-order '{0}^2/({1}*{2})'.format(area_units, molecule_units, time_units), # Second-order '{0}^4/({1}^2*{2})'.format(area_units, molecule_units, time_units), # Third-order + '{0}^6/({1}^3*{2})'.format(area_units, molecule_units, time_units), # Fourth-order ] Eunits = energy_units From 54de22cc132c77df80a4bcda72295efdf8008f0b Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 11 Aug 2023 14:13:44 -0400 Subject: [PATCH 397/700] Chemkin-read: skip reactions with unit errors. The assumed units for a fourth order surface reaction are not currently allowed by the Quantities package for a SurfaceRateCoefficient expression so it raises a QuantityError. This will now just skip the reaction. --- rmgpy/chemkin.pyx | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 187f6a06cc5..c2358857040 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -47,7 +47,7 @@ from rmgpy.data.kinetics.library import LibraryReaction from rmgpy.exceptions import ChemkinError from rmgpy.molecule.element import get_element from rmgpy.molecule.util import get_element_count -from rmgpy.quantity import Quantity +from rmgpy.quantity import Quantity, QuantityError from rmgpy.reaction import Reaction from rmgpy.rmg.pdep import PDepNetwork, PDepReaction from rmgpy.species import Species @@ -1487,6 +1487,9 @@ def read_reactions_block(f, species_dict, read_comments=True): continue else: raise + except QuantityError as e: + logging.warning(f"Skipping the reaction {kinetics!r} due to units error: {e}") + continue reaction_list.append(reaction) return reaction_list From ce7c5f5db70dd1eeec5328b98eb00cdb4ade6d02 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 11 Aug 2023 23:21:38 -0400 Subject: [PATCH 398/700] Raise ValueError if trying to match a template with wrong number of reactants. In a regular RMG run this would never happen, but sometimes other tools could be, for example, trying to see if a reaction matches a certain family, and they might ask "can you match this template?", so it's helpful to return a sensible error that they can handle. --- rmgpy/data/kinetics/family.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 685d92cd778..61bed7191d3 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -2710,12 +2710,16 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= template_reactants = [x.item for x in template.reactants] if len(reactants0) == 1: + if len(template_reactants) != 1: + raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule = reactants0[0] mappings = self._match_reactant_to_template(molecule, template_reactants[0]) mappings = [[map0] for map0 in mappings] num_mappings = len(mappings) reactant_structures = [molecule] elif len(reactants0) == 2: + if len(template_reactants) != 2: + raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule_a = reactants0[0] molecule_b = reactants0[1] # get mappings in forward direction @@ -2730,6 +2734,8 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= reactant_structures = [molecule_a, molecule_b] num_mappings = len(mappings_a) * len(mappings_b) elif len(reactants0) == 3: + if len(template_reactants) != 3: + raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule_a = reactants0[0] molecule_b = reactants0[1] molecule_c = reactants0[2] @@ -2744,7 +2750,7 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= reactant_structures = [molecule_a, molecule_b, molecule_c] num_mappings = len(mappings_a) * len(mappings_b) * len(mappings_c) else: - raise IndexError('You have {0} reactants, which is unexpected!'.format(len(reactants))) + raise NotImplementedError('You have {0} reactants, which is unexpected!'.format(len(reactants))) for mapping in mappings: try: From 85e7e81a9f6e183caa525d2317e395842aef3c0d Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 15 Aug 2023 11:08:56 -0400 Subject: [PATCH 399/700] (Minor) Change an error message formatting to f-string. --- rmgpy/data/kinetics/rules.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/data/kinetics/rules.py b/rmgpy/data/kinetics/rules.py index 7a71070937b..7dfc5424c19 100644 --- a/rmgpy/data/kinetics/rules.py +++ b/rmgpy/data/kinetics/rules.py @@ -449,8 +449,8 @@ def estimate_kinetics(self, template, degeneracy=1): kinetics_list = remove_identical_kinetics(saved_kinetics) if len(kinetics_list) == 0: - raise KineticsError('Unable to determine kinetics for reaction with template {0} in family ' - '{1}.'.format(template, self.label)) + raise KineticsError("Unable to determine kinetics for reaction " + f"with template {template!r} in family {self.label!s}.") elif len(kinetics_list) == 1: kinetics, t = kinetics_list[0] From 9dde3453cc15d5c5543e060ca3594d7662f92778 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 22:42:29 -0400 Subject: [PATCH 400/700] Consolidate stoichiometry checks ...and change an error type. Co-Authored-By: Jackson Burns Co-authored-by: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> --- rmgpy/data/kinetics/family.py | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 61bed7191d3..f57ce12b2e6 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -2708,18 +2708,15 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= template_reactants = [x.item for x in template.reactants] else: template_reactants = [x.item for x in template.reactants] - + if (num_reactants := len(reactants0)) != (num_template := len(template_reactants)): + raise ValueError(f"Reaction has {num_reactants} reactants but template has {num_template} reactants.") if len(reactants0) == 1: - if len(template_reactants) != 1: - raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule = reactants0[0] mappings = self._match_reactant_to_template(molecule, template_reactants[0]) mappings = [[map0] for map0 in mappings] num_mappings = len(mappings) reactant_structures = [molecule] elif len(reactants0) == 2: - if len(template_reactants) != 2: - raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule_a = reactants0[0] molecule_b = reactants0[1] # get mappings in forward direction @@ -2734,8 +2731,6 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= reactant_structures = [molecule_a, molecule_b] num_mappings = len(mappings_a) * len(mappings_b) elif len(reactants0) == 3: - if len(template_reactants) != 3: - raise ValueError(f"Reaction has {len(reactants0)} reactants but template has {len(template_reactants)} reactants.") molecule_a = reactants0[0] molecule_b = reactants0[1] molecule_c = reactants0[2] @@ -2750,7 +2745,7 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms= reactant_structures = [molecule_a, molecule_b, molecule_c] num_mappings = len(mappings_a) * len(mappings_b) * len(mappings_c) else: - raise NotImplementedError('You have {0} reactants, which is unexpected!'.format(len(reactants))) + raise ValueError('You have {0} reactants, which is unexpected!'.format(len(reactants))) for mapping in mappings: try: From 81b3576cbaf5fd3941edeb59a530a0edb4839011 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 22:44:12 -0400 Subject: [PATCH 401/700] Add more detail to an error warning Co-Authored-By: Jackson Burns Co-authored-by: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> --- rmgpy/chemkin.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index c2358857040..3699be19bb7 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1483,7 +1483,7 @@ def read_reactions_block(f, species_dict, read_comments=True): reaction = read_reaction_comments(reaction, comments, read=read_comments) except ChemkinError as e: if "Skip reaction!" in str(e): - logging.warning("Skipping the reaction {0!r}".format(kinetics)) + logging.warning("Skipping the reaction {0!r} because of {e!s}".format(kinetics)) continue else: raise From 486cdfa4cd288a60e48ee01c891f86d20dee0723 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 5 Jun 2024 22:55:21 -0400 Subject: [PATCH 402/700] Save cantera files that were made from chemkin files to a separate folder. So they don't over-write the ones that are being written directly. --- rmgpy/rmg/main.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index a5854c26cca..693b48bc7cf 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1852,7 +1852,7 @@ def generate_cantera_files(self, chemkin_file, **kwargs): """ transport_file = os.path.join(os.path.dirname(chemkin_file), "tran.dat") file_name = os.path.splitext(os.path.basename(chemkin_file))[0] + ".yaml" - out_name = os.path.join(self.output_directory, "cantera", file_name) + out_name = os.path.join(self.output_directory, "cantera_from_ck", file_name) if "surface_file" in kwargs: out_name = out_name.replace("-gas.", ".") cantera_dir = os.path.dirname(out_name) From a6ad29d2c5bd82a36b21e266f38eec667e4c9c73 Mon Sep 17 00:00:00 2001 From: Nora Khalil Date: Wed, 15 Jun 2022 14:59:52 -0400 Subject: [PATCH 403/700] Rename yml to yaml_rms, because it was specific to RMS This allows the Cantera yaml writer to live alongside it --- rmgpy/rmg/main.py | 2 +- rmgpy/{yml.py => yaml_rms.py} | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) rename rmgpy/{yml.py => yaml_rms.py} (98%) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 693b48bc7cf..25d796d049a 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -82,7 +82,7 @@ from rmgpy.thermo.thermoengine import submit from rmgpy.tools.plot import plot_sensitivity from rmgpy.tools.uncertainty import Uncertainty, process_local_results -from rmgpy.yml import RMSWriter +from rmgpy.yaml_rms import RMSWriter ################################################################################ diff --git a/rmgpy/yml.py b/rmgpy/yaml_rms.py similarity index 98% rename from rmgpy/yml.py rename to rmgpy/yaml_rms.py index 8b6e9f771f4..fd8d73fae24 100644 --- a/rmgpy/yml.py +++ b/rmgpy/yaml_rms.py @@ -49,7 +49,7 @@ from rmgpy.util import make_output_subdirectory -def convert_chemkin_to_yml(chemkin_path, dictionary_path=None, output="chem.rms"): +def convert_chemkin_to_rms(chemkin_path, dictionary_path=None, output="chem.rms"): if dictionary_path: spcs, rxns = load_chemkin_file(chemkin_path, dictionary_path=dictionary_path) else: @@ -57,7 +57,7 @@ def convert_chemkin_to_yml(chemkin_path, dictionary_path=None, output="chem.rms" write_yml(spcs, rxns, path=output) -def write_yml(spcs, rxns, solvent=None, solvent_data=None, path="chem.yml"): +def write_rms(spcs, rxns, solvent=None, solvent_data=None, path="chem.rms"): result_dict = get_mech_dict(spcs, rxns, solvent=solvent, solvent_data=solvent_data) with open(path, 'w') as f: yaml.dump(result_dict, stream=f) @@ -279,5 +279,5 @@ def update(self, rmg): solvent_data = None if rmg.solvent: solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent) - write_yml(rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, solvent=rmg.solvent, solvent_data=solvent_data, + write_rms(rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, solvent=rmg.solvent, solvent_data=solvent_data, path=os.path.join(self.output_directory, 'rms', 'chem{}.rms').format(len(rmg.reaction_model.core.species))) From 8f560f68cd9b35b31fe994d6ed9778d654471705 Mon Sep 17 00:00:00 2001 From: Nora Khalil Date: Mon, 13 Jun 2022 12:15:01 -0400 Subject: [PATCH 404/700] Enable Cantera-YAML writing. Nora did most of the work. Richard did some cleanup. Nick fixed species_to_dict function to use correct parameter as rxn species. Co-authored-by: Nora Khalil Co-authored-by: Richard West Co-authored-by: Nicholas Tietje --- rmgpy/rmg/main.py | 3 +- rmgpy/yaml_cantera.py | 378 ++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 380 insertions(+), 1 deletion(-) create mode 100644 rmgpy/yaml_cantera.py diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 25d796d049a..cb241cf11e4 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -83,6 +83,7 @@ from rmgpy.tools.plot import plot_sensitivity from rmgpy.tools.uncertainty import Uncertainty, process_local_results from rmgpy.yaml_rms import RMSWriter +from rmgpy.yaml_cantera import CanteraWriter ################################################################################ @@ -784,7 +785,7 @@ def register_listeners(self, requires_rms=False): self.attach(ChemkinWriter(self.output_directory)) self.attach(RMSWriter(self.output_directory)) - + self.attach(CanteraWriter(self.output_directory)) if self.generate_output_html: self.attach(OutputHTMLWriter(self.output_directory)) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py new file mode 100644 index 00000000000..c4684bf320b --- /dev/null +++ b/rmgpy/yaml_cantera.py @@ -0,0 +1,378 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2024 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +This file defines functions for outputting the RMG generated mechanism to +a yaml file that can be read by Cantera +""" + + +import os +import yaml + +from rmgpy.species import Species +from rmgpy.kinetics.arrhenius import ( + MultiArrhenius, + MultiPDepArrhenius, +) +from rmgpy.util import make_output_subdirectory +from datetime import datetime +from rmgpy.chemkin import get_species_identifier + + +def write_cantera( + spcs, + rxns, + surface_site_density=None, + solvent=None, + solvent_data=None, + path="chem.yml", +): + """ + Writes yaml file depending on the type of system (gas-phase, catalysis). + Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info. + """ + + # intro to file will change depending on the presence of surface species + is_surface = False + for spc in spcs: + if spc.contains_surface_site(): + is_surface = True + if is_surface: + result_dict = get_mech_dict_surface( + spcs, rxns, solvent=solvent, solvent_data=solvent_data + ) + phases_block, elements_block = get_phases_elements_with_surface( + spcs, surface_site_density + ) + else: + result_dict = get_mech_dict_nonsurface( + spcs, rxns, solvent=solvent, solvent_data=solvent_data + ) + phases_block, elements_block = get_phases_elements_gas_only(spcs) + + with open(path, "w") as f: + # generator line + f.write("generator: RMG\n") + + # datetime object containing current date and time + now = datetime.now() + dt_string = now.strftime("%a, %d %b %Y %H:%M:%S") + f.write(f"date: {dt_string}\n") + + # units line + f.write( + "\nunits: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol}\n\n" + ) + + f.write(phases_block) + f.write(elements_block) + + yaml.dump(result_dict, stream=f, sort_keys=False) + + +def get_phases_elements_gas_only(spcs): + """ + Returns 'phases' and 'elements' sections for a file + with only gas-phase species/reactions. + """ + sorted_species = sorted(spcs, key=lambda spcs: spcs.index) + species_to_write = [get_species_identifier(spec) for spec in sorted_species] + # make sure species with "[" or "]" is in quotes + species_to_write = [ + f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s + for s in species_to_write + ] + phases_block = f""" +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I] + species: [{', '.join(species_to_write)}] + kinetics: gas + transport: mixture-averaged + state: {{T: 300.0, P: 1 atm}} +""" + + elements_block = """ +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 + +""" + return phases_block, elements_block + + +def get_phases_elements_with_surface(spcs, surface_site_density): + """ + Yaml files with surface species begin with the following blocks of text, + which includes TWO phases instead of just one. + Returns 'phases' and 'elements' sections. + """ + surface_species = [] + gas_species = [] + for spc in spcs: + + if spc.contains_surface_site(): + surface_species.append(spc) + else: + gas_species.append(spc) + + sorted_surface_species = sorted( + surface_species, key=lambda surface_species: surface_species.index + ) + + surface_species_to_write = [ + get_species_identifier(s) for s in sorted_surface_species + ] + + # make sure species with "[" or "]" is in quotes + surface_species_to_write = [ + f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s + for s in surface_species_to_write + ] + + sorted_gas_species = sorted(gas_species, key=lambda gas_species: gas_species.index) + gas_species_to_write = [get_species_identifier(s) for s in sorted_gas_species] + + # make sure species with "[" or "]" is in quotes + gas_species_to_write = [ + f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s + for s in gas_species_to_write + ] + + phases_block = f""" +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I] + species: [{', '.join(gas_species_to_write)}] + kinetics: gas + reactions: [gas_reactions] + transport: mixture-averaged + state: {{T: 300.0, P: 1 atm}} + +- name: {surface_species[0].smiles.replace("[","").replace("]","")}_surface + thermo: ideal-surface + adjacent-phases: [gas] + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, X] + species: [{', '.join(surface_species_to_write)}] + kinetics: surface + reactions: [surface_reactions] + site-density: {surface_site_density * 1e-4 } +""" + # surface_site_density * 1e-4 #in units of mol/cm^2 + + elements_block = """ +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 +- symbol: X + atomic-weight: 195.083 + +""" + return phases_block, elements_block + + +def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): + """ + For systems with surface species/reactions. + Adds 'species', 'gas-reactions', and 'surface-reactions' to result_dict. + """ + gas_rxns = [] + surface_rxns = [] + for rxn in rxns: + if rxn.is_surface_reaction(): + surface_rxns.append(rxn) + else: + gas_rxns.append(rxn) + + names = [x.label for x in spcs] + for i, name in enumerate(names): # fix duplicate names + if names.count(name) > 1: + names[i] += "-" + str(names.count(name)) + + result_dict = dict() + result_dict["species"] = [species_to_dict(x, spcs, names=names) for x in spcs] + + # separate gas and surface reactions + + gas_reactions = [] + for rmg_rxn in gas_rxns: + gas_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + result_dict["gas_reactions"] = gas_reactions + + surface_reactions = [] + for rmg_rxn in surface_rxns: + surface_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + result_dict["surface_reactions"] = surface_reactions + + return result_dict + + +def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): + """ + For gas-phase systems. + Adds 'species' and 'reactions' to result_dict. + """ + names = [x.label for x in spcs] + for i, name in enumerate(names): # fix duplicate names + if names.count(name) > 1: + names[i] += "-" + str(names.count(name)) + + result_dict = dict() + result_dict["species"] = [species_to_dict(x, spcs, names=names) for x in spcs] + + reactions = [] + for rmg_rxn in rxns: + reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + result_dict["reactions"] = reactions + + return result_dict + + +def reaction_to_dicts(obj, spcs): + """ + Takes an RMG reaction object (obj), returns a list of dictionaries + for YAML properties. For most reaction objects the list will be of + length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer. + """ + + reaction_list = [] + if isinstance(obj.kinetics, MultiArrhenius) or isinstance( + obj.kinetics, MultiPDepArrhenius + ): + list_of_cantera_reactions = obj.to_cantera(use_chemkin_identifier=True) + else: + list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)] + + for reaction in list_of_cantera_reactions: + reaction_data = reaction.input_data + efficiencies = getattr(obj.kinetics, "efficiencies", {}) + if efficiencies: + reaction_data["efficiencies"] = { + spcs[i].to_chemkin(): float(val) + for i, val in enumerate( + obj.kinetics.get_effective_collider_efficiencies(spcs) + ) + if val != 1 + } + reaction_list.append(reaction_data) + + return reaction_list + + +def species_to_dict(obj, spc, names=None, label="solvent"): + """ + Takes an RMG species object (obj), returns a list of dictionaries + for YAML properties. Also adds in the number of surface sites + ('sites') to dictionary. + """ + + result_dict = dict() + + if isinstance(obj, Species): + s = obj.to_cantera(use_chemkin_identifier=True) + species_data = s.input_data + try: + result_dict["note"] = obj.transport_data.comment + except: + pass + if "size" in species_data: + sites = species_data["size"] + species_data.pop("size", None) + species_data["sites"] = sites + species_data.update(result_dict) + return ( + species_data # returns composition, name, thermo, and transport, and note + ) + else: + raise Exception("Species object must be an RMG Species object") + + +class CanteraWriter(object): + """ + This class listens to a RMG subject + and writes an YAML file with the current state of the RMG model, + to a yaml subfolder. + + + A new instance of the class can be appended to a subject as follows: + + rmg = ... + listener = CanteraWriter(outputDirectory) + rmg.attach(listener) + + Whenever the subject calls the .notify() method, the + .update() method of the listener will be called. + + To stop listening to the subject, the class can be detached + from its subject: + + rmg.detach(listener) + + """ + + def __init__(self, output_directory=""): + super(CanteraWriter, self).__init__() + self.output_directory = output_directory + make_output_subdirectory(output_directory, "cantera") + + def update(self, rmg): + + solvent_data = None + if rmg.solvent: + solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent) + + surface_site_density = None + if rmg.reaction_model.surface_site_density: + surface_site_density = rmg.reaction_model.surface_site_density.value_si + + write_cantera( + rmg.reaction_model.core.species, + rmg.reaction_model.core.reactions, + surface_site_density=surface_site_density, + solvent=rmg.solvent, + solvent_data=solvent_data, + path=os.path.join(self.output_directory, "cantera", "chem{}.yaml").format( + len(rmg.reaction_model.core.species) + ), + ) From 78e9124b08c78c6104e8a42d52acd41655669282 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 2 Aug 2024 14:43:01 -0400 Subject: [PATCH 405/700] Reworking the Elements blocks in cantera yaml writer. Basing it on the Chemkin version. For now only evaluate it once, and include everything. --- rmgpy/yaml_cantera.py | 79 +++++++++++++++++++++---------------------- 1 file changed, 39 insertions(+), 40 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index c4684bf320b..96a39c52be1 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -68,14 +68,14 @@ def write_cantera( result_dict = get_mech_dict_surface( spcs, rxns, solvent=solvent, solvent_data=solvent_data ) - phases_block, elements_block = get_phases_elements_with_surface( + phases_block = get_phases_with_surface( spcs, surface_site_density ) else: result_dict = get_mech_dict_nonsurface( spcs, rxns, solvent=solvent, solvent_data=solvent_data ) - phases_block, elements_block = get_phases_elements_gas_only(spcs) + phases_block = get_phases_gas_only(spcs) with open(path, "w") as f: # generator line @@ -92,14 +92,40 @@ def write_cantera( ) f.write(phases_block) - f.write(elements_block) - yaml.dump(result_dict, stream=f, sort_keys=False) + f.write(ELEMENTS_BLOCK) + yaml.dump(result_dict, stream=f, sort_keys=False) -def get_phases_elements_gas_only(spcs): +def get_elements_block(): + """ + Returns the 'elements' section, and elements list for a phase """ - Returns 'phases' and 'elements' sections for a file + from rmgpy.molecule.element import get_element + elements_list = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', + 'F', 'Cl', 'Br', 'I'] + isotopes = (('H', 2), ('H', 3), ('C', 13),('O', 18)) + elements_block_list = ['', 'elements:'] + for symbol, isotope in isotopes: + element = get_element(symbol, isotope=isotope) + chemkin_name = element.chemkin_name + mass = 1000 * element.mass + elements_block_list.append(f"- symbol: {chemkin_name}\n atomic-weight: {mass:f}") + elements_list.append(chemkin_name) + # Surface sites + elements_list.append('X') + elements_block_list.append("- symbol: X\n atomic-weight: 195.083\n\n") + elements_block = '\n'.join(elements_block_list) + elements_line = f"elements: [{', '.join(elements_list)}]" + return elements_block, elements_line +# For now this is not dynamic, and includes everything, so we just evaluate it +# once and use it for all files. +ELEMENTS_BLOCK, ELEMENTS_LINE = get_elements_block() + + +def get_phases_gas_only(spcs): + """ + Returns 'phases' sections for a file with only gas-phase species/reactions. """ sorted_species = sorted(spcs, key=lambda spcs: spcs.index) @@ -113,33 +139,20 @@ def get_phases_elements_gas_only(spcs): phases: - name: gas thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I] + {ELEMENTS_LINE} species: [{', '.join(species_to_write)}] kinetics: gas transport: mixture-averaged state: {{T: 300.0, P: 1 atm}} """ + return phases_block - elements_block = """ -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -""" - return phases_block, elements_block - - -def get_phases_elements_with_surface(spcs, surface_site_density): +def get_phases_with_surface(spcs, surface_site_density): """ Yaml files with surface species begin with the following blocks of text, which includes TWO phases instead of just one. - Returns 'phases' and 'elements' sections. + Returns 'phases' sections. """ surface_species = [] gas_species = [] @@ -177,7 +190,7 @@ def get_phases_elements_with_surface(spcs, surface_site_density): phases: - name: gas thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I] + {ELEMENTS_LINE} species: [{', '.join(gas_species_to_write)}] kinetics: gas reactions: [gas_reactions] @@ -187,7 +200,7 @@ def get_phases_elements_with_surface(spcs, surface_site_density): - name: {surface_species[0].smiles.replace("[","").replace("]","")}_surface thermo: ideal-surface adjacent-phases: [gas] - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, X] + {ELEMENTS_LINE} species: [{', '.join(surface_species_to_write)}] kinetics: surface reactions: [surface_reactions] @@ -195,21 +208,7 @@ def get_phases_elements_with_surface(spcs, surface_site_density): """ # surface_site_density * 1e-4 #in units of mol/cm^2 - elements_block = """ -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -- symbol: X - atomic-weight: 195.083 - -""" - return phases_block, elements_block + return phases_block def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): From f5757ec8cf3ebe4d62d18ca90f29a76f1ae51d40 Mon Sep 17 00:00:00 2001 From: Lekia Prosper Date: Mon, 3 Mar 2025 13:57:40 -0500 Subject: [PATCH 406/700] add yaml writer test to compare yaml file generated by RMG and the yaml file converted from chemkin files --- .../yaml_writer_data/cantera/chem47.yaml | 2778 +++++++++++++++++ .../chemkin/chem0047-gas.yaml | 1117 +++++++ .../rmgpy/yaml_writer/compare_yaml_outputs.py | 137 + test/rmgpy/yaml_writer/test_yaml.py | 23 + 4 files changed, 4055 insertions(+) create mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml create mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml create mode 100644 test/rmgpy/yaml_writer/compare_yaml_outputs.py create mode 100644 test/rmgpy/yaml_writer/test_yaml.py diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml new file mode 100644 index 00000000000..8b24f4d1c73 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml @@ -0,0 +1,2778 @@ +generator: RMG +date: Tue, 18 Feb 2025 15:33:45 + +units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} + + +phases: +- name: gas + thermo: ideal-gas + elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] + species: [Ar, Ne, N2, CH4(2), H2O(3), CO2(4), H2(5), CO(6), O2(7), C2H6(8), CH3(9), CH3OH(10), C2H4(11), CH3CHO(12), C3H6O(13), C2H6O(14), CH3COOCH3(15)] + kinetics: gas + reactions: [gas_reactions] + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +- name: Pt_surface + thermo: ideal-surface + adjacent-phases: [gas] + elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] + species: [X(1), HX(16), OX(17), CX(18), COX(19), CHX(20), CH2X(21), HCOX(22), HCOHX(23), CH3OX(24), CH3COOX(25), CH2COX(26), CH2COX2(27), CH3COOHX(28), C2H4X(29), C2H4X2(30), COOHX(31), CH3X(32), HOX(33), OCXOX(34), HOCXO(35), CO2X(36), H2OX(43), 'C.[Pt](84)', C2H3X(88), CHOX2(110), C2H3X2(120), 'CC#[Pt](307)', C2H2X2(338), 'C#C.[Pt](513)'] + kinetics: surface + reactions: [surface_reactions] + site-density: 3.148e-09 + +elements: +- symbol: D + atomic-weight: 2.014102 +- symbol: T + atomic-weight: 3.016049 +- symbol: CI + atomic-weight: 13.003354 +- symbol: OI + atomic-weight: 17.999159 +- symbol: X + atomic-weight: 195.083 + +species: +- name: Ar + composition: + Ar: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 4.37967 + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 4.37967 + transport: + model: gas + geometry: atom + diameter: 3.3300000000000005 + well-depth: 136.50054988458677 + note: GRI-Mech +- name: Ne + composition: + Ne: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 3.35532 + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 3.35532 + transport: + model: gas + geometry: atom + diameter: 3.7580000000000005 + well-depth: 148.6 + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the + fallback method! Try improving transport databases! +- name: N2 + composition: + N: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 3.53101 + - -0.000123661 + - -5.02999e-07 + - 2.43531e-09 + - -1.40881e-12 + - -1046.98 + - 2.96747 + - - 2.95258 + - 0.0013969 + - -4.92632e-07 + - 7.8601e-11 + - -4.60755e-15 + - -923.949 + - 5.87189 + transport: + model: gas + geometry: linear + diameter: 3.6210000000000013 + well-depth: 97.53030619382686 + polarizability: 1.7600000000000011 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: X(1) + composition: + X: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 298.0 + - 1000.0 + - 2000.0 + data: + - - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 +- name: CH4(2) + composition: + C: 1.0 + H: 4.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1084.1187337643662 + - 5000.0 + data: + - - 4.205416196255041 + - -0.005355584631145938 + - 2.5112363572294852e-05 + - -2.137632989042285e-08 + - 5.9752576676099345e-12 + - -10161.943346777867 + - -0.9212827273392239 + - - 0.9082602129576632 + - 0.011454094892455498 + - -4.5717433924635545e-06 + - 8.291928595922759e-10 + - -5.6631586824980706e-14 + - -9719.972022902222 + - 13.993125635097375 + transport: + model: gas + geometry: nonlinear + diameter: 3.746000000000001 + well-depth: 141.400440100105 + polarizability: 2.600000000000002 + rotational-relaxation: 13.0 + note: GRI-Mech +- name: H2O(3) + composition: + H: 2.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1130.243284919479 + - 5000.0 + data: + - - 4.057636221872408 + - -0.0007879402524835726 + - 2.9087893225841516e-06 + - -1.4752057824605237e-09 + - 2.1284959599833601e-13 + - -30281.586653679737 + - -0.3113654695330764 + - - 2.843247813270488 + - 0.0027510897463440443 + - -7.810338827223348e-07 + - 1.0724419204775164e-10 + - -5.793967385714403e-15 + - -29958.611588952655 + - 5.910434907048865 + transport: + model: gas + geometry: nonlinear + diameter: 2.6050000000000004 + well-depth: 572.4019516813576 + dipole: 1.8439999999999999 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: CO2(4) + composition: + C: 1.0 + O: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 978.2164247415373 + - 5000.0 + data: + - - 3.280844236561561 + - 0.002501860004866126 + - 8.08190843915926e-06 + - -1.2051019574327036e-08 + - 4.665419284125267e-12 + - -48400.830312852784 + - 6.00081543904009 + - - 4.6742752757606745 + - 0.0026096268846741164 + - -9.856820820173133e-07 + - 1.957120153217903e-10 + - -1.4983471395230124e-14 + - -48951.21731066457 + - -2.1107803190827465 + transport: + model: gas + geometry: linear + diameter: 3.763 + well-depth: 244.00106224424113 + polarizability: 2.650000000000001 + rotational-relaxation: 2.1 + note: GRI-Mech +- name: H2(5) + composition: + H: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1959.08462230851 + - 5000.0 + data: + - - 3.4353643375690575 + - 0.00021270843056734023 + - -2.7862068251219974e-07 + - 3.4026374586351706e-10 + - -7.760235284610629e-14 + - -1031.3598528421899 + - -3.908418170766748 + - - 2.7881426891855945 + - 0.000587671007977702 + - 1.5899634118409258e-07 + - -5.527107765047777e-11 + - 4.342903937188434e-15 + - -596.1306154450648 + - 0.11286983601569868 + transport: + model: gas + geometry: linear + diameter: 2.9200000000000004 + well-depth: 38.00012796964137 + polarizability: 0.7900000000000005 + rotational-relaxation: 280.0 + note: GRI-Mech +- name: CO(6) + composition: + C: 1.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1571.6593741294669 + - 5000.0 + data: + - - 3.5683789993113204 + - -0.0008521161385230426 + - 2.489153078746991e-06 + - -1.5632874127406197e-09 + - 3.1358850739748245e-13 + - -14284.254889750642 + - 3.5791254751491537 + - - 2.913095893090424 + - 0.0016465367644801375 + - -6.885940678175395e-07 + - 1.210329274784425e-10 + - -7.839840585892357e-15 + - -14180.899929543586 + - 6.710287418337844 + transport: + model: gas + geometry: linear + diameter: 3.6500000000000004 + well-depth: 98.10027624123336 + polarizability: 1.9500000000000008 + rotational-relaxation: 1.8 + note: GRI-Mech +- name: O2(7) + composition: + O: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1074.5555114962035 + - 5000.0 + data: + - - 3.537321799907554 + - -0.0012157092105349748 + - 5.316177942590317e-06 + - -4.894433842532746e-09 + - 1.4584502658366455e-12 + - -1038.5884607015485 + - 4.683684088842607 + - - 3.1538242933344125 + - 0.001678037943720445 + - -7.699709798598658e-07 + - 1.5127470439159983e-10 + - -1.0878179254258219e-14 + - -1040.818802796597 + - 6.16753858679826 + transport: + model: gas + geometry: linear + diameter: 3.4580000000000015 + well-depth: 107.40032560095216 + polarizability: 1.6000000000000008 + rotational-relaxation: 3.8 + note: GRI-Mech +- name: C2H6(8) + composition: + C: 2.0 + H: 6.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1012.4143908176864 + - 5000.0 + data: + - - 3.7224027214290585 + - 0.0016507216851436085 + - 3.4417964169825765e-05 + - -3.768635653272928e-08 + - 1.2445292179204619e-11 + - -11557.590566943427 + - 4.682444888027526 + - - 2.8284402467294902 + - 0.017304128331706716 + - -6.733383493412886e-06 + - 1.2374299067889905e-09 + - -8.656844034734494e-14 + - -11997.790083232097 + - 5.938355682638575 + transport: + model: gas + geometry: nonlinear + diameter: 4.3020000000000005 + well-depth: 252.30104810022812 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: CH3(9) + composition: + C: 1.0 + H: 3.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 697.6534741766965 + - 5000.0 + data: + - - 3.9604315909856713 + - 0.0005929325518967126 + - 8.785780906372586e-06 + - -9.880343260208576e-09 + - 3.6323637393909093e-12 + - 16421.88173561743 + - 0.33986347561181546 + - - 3.095112437831353 + - 0.005554297527849976 + - -1.8815877454521128e-06 + - 3.1333480061460194e-10 + - -2.051949923202252e-14 + - 16542.619031157636 + - 4.202975724684728 + transport: + model: gas + geometry: nonlinear + diameter: 3.8 + well-depth: 144.00072548202698 + note: GRI-Mech +- name: CH3OH(10) + composition: + C: 1.0 + H: 4.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1035.7423959466812 + - 5000.0 + data: + - - 3.840067829214246 + - 0.0013823530072473104 + - 1.916695141756019e-05 + - -2.0157162318442508e-08 + - 6.391145984999754e-12 + - -25608.308954921802 + - 5.909760961217521 + - - 2.7918159589998375 + - 0.011582830476657863 + - -4.515545111036702e-06 + - 8.212127607375687e-10 + - -5.6706824178167993e-14 + - -25721.155782524937 + - 9.410768406918132 + transport: + model: gas + geometry: nonlinear + diameter: 3.626000000000001 + well-depth: 481.802091582003 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: C2H4(11) + composition: + C: 2.0 + H: 4.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 979.3618095206666 + - 5000.0 + data: + - - 3.974701280059024 + - -0.004758264205082085 + - 4.167773383176862e-05 + - -4.5138395334516856e-08 + - 1.5422102566698024e-11 + - 4915.408091071431 + - 3.624361133438067 + - - 3.5566615930688514 + - 0.011062651497825246 + - -4.170135867268412e-06 + - 7.85573759380627e-10 + - -5.700500153666173e-14 + - 4320.441720817992 + - 2.1768826469836897 + transport: + model: gas + geometry: nonlinear + diameter: 3.9710000000000005 + well-depth: 280.80075319274636 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: CH3CHO(12) + composition: + C: 2.0 + H: 4.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1028.8023918717618 + - 5000.0 + data: + - - 3.5799294150648864 + - 0.005189770481773756 + - 2.2689973566565946e-05 + - -2.7374551494008247e-08 + - 9.284917028878933e-12 + - -21369.737609745825 + - 8.969696167185589 + - - 4.085613942096295 + - 0.013906161620516692 + - -5.593725835684122e-06 + - 1.0460983036639744e-09 + - -7.387431892572972e-14 + - -22039.12378460797 + - 3.768155983239756 + transport: + model: gas + geometry: nonlinear + diameter: 3.9700000000000006 + well-depth: 436.0012277388149 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: C3H6O(13) + composition: + C: 3.0 + H: 6.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1023.9482752714948 + - 5000.0 + data: + - - 3.011401597809541 + - 0.015468379714093743 + - 2.1500989201259812e-05 + - -3.246115535830465e-08 + - 1.1787411835246626e-11 + - -27871.24318665779 + - 13.220327873565262 + - - 5.795918074341681 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+ - -8.078886200693694e-09 + - 3.699535187305503e-12 + - 19021.04086436971 + - -9.523873262329873 + - - 4.940279088514483 + - 0.004787222017554303 + - -1.5639544457516475e-06 + - 2.672761939001556e-10 + - -1.841695486284534e-14 + - 18434.64899528267 + - -19.70659745238856 +- name: C2H3X(88) + composition: + C: 2.0 + H: 3.0 + X: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 938.984342954222 + - 5000.0 + data: + - - 3.816855190619816 + - -0.0049593108119074854 + - 5.145610165712362e-05 + - -6.314880718836221e-08 + - 2.379473554513912e-11 + - 486.18408661810673 + - -15.88279550277611 + - - 6.918140774103931 + - 0.004845631548262949 + - -9.746754689303066e-07 + - 1.809288406885693e-10 + - -1.6711133946479867e-14 + - -1110.8861198152579 + - -36.05241714942668 +- name: C2H3X2(120) + composition: + C: 2.0 + H: 3.0 + X: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 931.2590940541667 + - 5000.0 + data: + - - 3.838841732956421 + - -0.008209687907563478 + - 6.656228164395793e-05 + - -8.223152517465067e-08 + - 3.138335541616925e-11 + - -3285.263195765613 + - -19.460852187070447 + - - 8.291164052355008 + - 0.0027943034954819776 + - 3.102600442580014e-07 + - -6.343890134318942e-11 + - -1.0080105464031819e-15 + - -5420.926456665365 + - -47.63786342878039 + sites: 2.0 +gas_reactions: +- equation: 2 CH3(9) <=> C2H6(8) + rate-constant: + A: 945000000000.0001 + b: -0.538 + Ea: 565258.4 +- equation: CH4(2) + CO(6) <=> CH3CHO(12) + rate-constant: + A: 65.60000000000001 + b: 2.86 + Ea: 363590000.0000001 +- equation: C2H6(8) + CO(6) <=> C3H6O(13) + rate-constant: + A: 0.538 + b: 3.29 + Ea: 437228000.00000006 +- equation: C2H4(11) + H2O(3) <=> C2H6O(14) + rate-constant: + A: 0.5880000000000001 + b: 2.94 + Ea: 222170000.00000006 +- equation: C2H6(8) + CO2(4) <=> CH3COOCH3(15) + rate-constant: + A: 0.292 + b: 3.13 + Ea: 486722822.00474715 +surface_reactions: +- equation: H2(5) + 2 X(1) <=> 2 HX(16) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.032 + b: 0.0 + Ea: 0.0 +- equation: O2(7) + 2 X(1) <=> 2 OX(17) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.0436 + b: -0.206 + Ea: 1500000.0 +- equation: CO(6) + X(1) <=> COX(19) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.5 + b: 0.0 + Ea: 0.0 +- equation: COX(19) + X(1) <=> CX(18) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1750000000000.0 + b: 0.0 + Ea: 116200000.0 +- equation: 2 COX(19) <=> CO2(4) + CX(18) + X(1) + type: interface-Arrhenius + rate-constant: + A: 16200000000000.0 + b: 0.5 + Ea: 241700000.00000003 +- equation: COX(19) + OX(17) <=> CO2(4) + 2 X(1) + type: interface-Arrhenius + rate-constant: + A: 2.0e+18 + b: 0.0 + Ea: 123600000.00000001 +- equation: CX(18) + HX(16) <=> CHX(20) + X(1) + type: interface-Arrhenius + rate-constant: + A: 1.7e+23 + b: -0.5 + Ea: 157900000.0 +- equation: COX(19) + HX(16) <=> CHX(20) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.26e+19 + b: 0.073 + Ea: 191627199.99999997 +- equation: CHX(20) + HX(16) <=> CH2X(21) + X(1) + type: interface-Arrhenius + rate-constant: + A: 9.77e+23 + b: -0.087 + Ea: 81000000.00000001 +- equation: CX(18) + H2(5) <=> CH2X(21) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.04 + b: 0.0 + Ea: 29700000.0 +- equation: CHX(20) + OX(17) <=> HCOX(22) + X(1) + type: interface-Arrhenius + rate-constant: + A: 4.59e+19 + b: 0.0 + Ea: 109900000.00000001 +- equation: HCOX(22) + X(1) <=> COX(19) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 3.71e+20 + b: 0.0 + Ea: 0.0 +- equation: CH3X(32) + HX(16) <=> CH4(2) + 2 X(1) + type: interface-Arrhenius + rate-constant: + A: 1.44e+21 + b: -0.087 + Ea: 63400000.00000001 +- equation: CH2X(21) + HX(16) <=> CH3X(32) + X(1) + type: interface-Arrhenius + rate-constant: + A: 3.09e+22 + b: -0.087 + Ea: 57200000.0 +- equation: CH3(9) + X(1) <=> CH3X(32) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.16 + b: -0.099 + Ea: 0.0 +- equation: CX(18) + HOX(33) <=> COX(19) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 3.88e+24 + b: 0.188 + Ea: 62500000.0 +- equation: CH3X(32) + HOX(33) <=> CH4(2) + OX(17) + X(1) + type: interface-Arrhenius + rate-constant: + A: 2.98e+21 + b: 0.101 + Ea: 25800000.0 +- equation: CH2X(21) + HOX(33) <=> CH3X(32) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: CHX(20) + HOX(33) <=> CH2X(21) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 4.4e+21 + b: 0.101 + Ea: 42400000.0 +- equation: CX(18) + HOX(33) <=> CHX(20) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 2.43e+20 + b: -0.312 + Ea: 118900000.0 +- equation: HOX(33) + HX(16) <=> H2O(3) + 2 X(1) + type: interface-Arrhenius + rate-constant: + A: 1.85e+19 + b: 0.086 + Ea: 41500000.0 +- equation: HOX(33) + X(1) <=> HX(16) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 2.25e+19 + b: 0.188 + Ea: 29600000.000000004 +- equation: 2 HOX(33) <=> H2O(3) + OX(17) + X(1) + type: interface-Arrhenius + rate-constant: + A: 2.34e+19 + b: 0.274 + Ea: 92300000.00000001 +- equation: HCOX(22) + HOX(33) <=> HOCXO(35) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 2.28e+19 + b: 0.263 + Ea: 15900000.000000002 +- equation: HOCXO(35) + X(1) <=> COX(19) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.46e+23 + b: -0.213 + Ea: 54300000.0 +- equation: HOCXO(35) + X(1) <=> CO2(4) + HX(16) + X(1) + type: interface-Arrhenius + rate-constant: + A: 3.73e+19 + b: 0.475 + Ea: 33600000.0 +- equation: 2 COX(19) <=> CO2X(36) + CX(18) + type: interface-Arrhenius + rate-constant: + A: 16200000000000.0 + b: 0.5 + Ea: 241700000.00000003 +- equation: CO2(4) + X(1) <=> CO2X(36) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.005 + b: 0.0 + Ea: 0.0 +- equation: COX(19) + OX(17) <=> CO2X(36) + X(1) + type: interface-Arrhenius + rate-constant: + A: 3.7e+20 + b: 0.0 + Ea: 117600000.00000001 +- equation: COX(19) + HOX(33) <=> CO2X(36) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.0e+18 + b: 0.0 + Ea: 38700000.0 +- equation: HOCXO(35) + X(1) <=> CO2X(36) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 4.27e+18 + b: 0.549 + Ea: 4184000.0 +- equation: CO2X(36) + HOX(33) <=> HOCXO(35) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 2.15e+18 + b: 0.097 + Ea: 110876000.0 +- equation: CH2COX2(27) <=> CH2X(21) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4220000000000.0 + b: 0.0 + Ea: 104000000.00000001 +- equation: CH2COX(26) + X(1) <=> CH2COX2(27) + type: interface-Arrhenius + rate-constant: + A: 2.0e+20 + b: 0.0 + Ea: 0.0 +- equation: C2H4(11) + X(1) <=> C2H4X(29) + type: sticking-Arrhenius + sticking-coefficient: + A: 7.0e-06 + b: 0.0 + Ea: 0.0 +- equation: C2H4(11) + 2 X(1) <=> C2H4X2(30) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.69 + b: 0.0 + Ea: 0.0 +- equation: 2 CH2X(21) <=> C2H4X2(30) + type: interface-Arrhenius + rate-constant: + A: 9.89e+22 + b: 0.0 + Ea: 154000000.0 +- equation: C2H4X(29) + X(1) <=> C2H4X2(30) + type: interface-Arrhenius + rate-constant: + A: 1.78e+20 + b: 0.0 + Ea: 12000000.0 +- equation: CO2(4) + 2 X(1) <=> OCXOX(34) + type: sticking-Arrhenius + sticking-coefficient: + A: 1.66 + b: 0.0 + Ea: 0.0 +- equation: OCXOX(34) <=> COX(19) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 4220000000000.0 + b: 0.0 + Ea: 133318492.10043974 +- equation: CO2X(36) + X(1) <=> OCXOX(34) + type: interface-Arrhenius + rate-constant: + A: 4.0e+20 + b: 0.0 + Ea: 0.0 +- equation: C2H6(8) + 2 X(1) <=> 2 CH3X(32) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.015 + b: 0.0 + Ea: 23107338.64226449 +- equation: CH3OH(10) + 2 X(1) <=> CH3X(32) + HOX(33) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.015 + b: 0.0 + Ea: 5000000.0 +- equation: CH3OH(10) + 2 X(1) <=> CH3OX(24) + HX(16) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.099 + b: 0.0 + Ea: 76543362.59050444 +- equation: C2H4(11) + 2 X(1) <=> 2 CH2X(21) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.01 + b: 0.0 + Ea: 41840000.00000001 +- equation: CH3CHO(12) + 2 X(1) <=> CH3X(32) + HCOX(22) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.015 + b: 0.0 + Ea: 5000000.0 +- equation: C2H6O(14) + 2 X(1) <=> CH3OX(24) + CH3X(32) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.015 + b: 0.0 + Ea: 10548863.324930396 +- equation: HCOHX(23) + X(1) <=> CHX(20) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.46e+23 + b: -0.213 + Ea: 54300000.00000001 +- equation: HCOHX(23) + X(1) <=> HCOX(22) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 58232049.1536672 +- equation: CH3OX(24) + X(1) <=> CH2X(21) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.46e+23 + b: -0.213 + Ea: 54300000.00000001 +- equation: CH3OX(24) + X(1) <=> HCOHX(23) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 7.42e+20 + b: 0.0 + Ea: 0.0 +- equation: CH3COOX(25) + X(1) <=> CH2X(21) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 152862746.7252149 +- equation: CH3COOX(25) + X(1) <=> CH2COX(26) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.5392202847961747e+20 + b: 0.1314545095819981 + Ea: 76771524.3146206 +- equation: CH2COX(26) + X(1) <=> CH2X(21) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 3.282e+19 + b: 0.0 + Ea: 241213355.90675473 +- equation: CH3COOHX(28) + X(1) <=> CH3X(32) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 142367281.8074835 +- equation: CH3COOHX(28) + X(1) <=> CH3COOX(25) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 2116349673557.9387 + b: 2.0707027167582193 + Ea: 135191101.8241696 +- equation: C2H4X(29) + X(1) <=> 2 CH2X(21) + type: interface-Arrhenius + rate-constant: + A: 3.282e+19 + b: 0.0 + Ea: 241213355.90675473 +- equation: COOHX(31) + X(1) <=> HCOHX(23) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.641e+19 + b: 0.0 + Ea: 241213355.90675473 +- equation: COOHX(31) + X(1) <=> HCOX(22) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.781e+20 + b: 0.0 + Ea: 157271108.0512041 +- equation: HOCXO(35) + HX(16) <=> COOHX(31) + X(1) + type: interface-Arrhenius + rate-constant: + A: 2.308e+21 + b: 0.0 + Ea: 70434299.92477237 +- equation: HOCXO(35) + 2 X(1) <=> HX(16) + OCXOX(34) + type: interface-Arrhenius + rate-constant: + A: 1.8566666666666664e+27 + b: 0.0 + Ea: 46000000.00000001 +- equation: CH2X(21) + COOHX(31) <=> CH3COOX(25) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: HCOX(22) + OX(17) <=> COX(19) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 3.298e+20 + b: 0.0 + Ea: 0.0 +- equation: HCOHX(23) + OX(17) <=> HCOX(22) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 0.0 +- equation: HCOHX(23) + HOX(33) <=> CH3OX(24) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: CH2COX2(27) + OX(17) <=> CH2X(21) + OCXOX(34) + type: interface-Arrhenius + rate-constant: + A: 3.298e+20 + b: 0.0 + Ea: 0.0 +- equation: CH3COOHX(28) + OX(17) <=> CH3COOX(25) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 4.215e+23 + b: -0.101 + Ea: 92700000.00000001 +- equation: COOHX(31) + OX(17) <=> HOCXO(35) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.405e+23 + b: -0.101 + Ea: 92700000.00000001 +- equation: CH2X(21) + CX(18) <=> 2 CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 64390227.63121586 +- equation: CX(18) + HCOX(22) <=> CHX(20) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 36249036.34728507 +- equation: CX(18) + HCOHX(23) <=> CHX(20) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 24052724.51607596 +- equation: CH3OX(24) + CX(18) <=> CHX(20) + HCOHX(23) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 37291008.396549925 +- equation: CH3COOHX(28) + CX(18) <=> CH3COOX(25) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: COOHX(31) + CX(18) <=> CHX(20) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH3X(32) + CX(18) <=> CH2X(21) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 9.894e+20 + b: 0.0 + Ea: 0.0 +- equation: CHX(20) + HCOX(22) <=> CH2X(21) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 71158808.71606924 +- equation: CHX(20) + HOCXO(35) <=> COX(19) + HCOHX(23) + type: interface-Arrhenius + rate-constant: + A: 4.4e+21 + b: 0.101 + Ea: 42400000.0 +- equation: COX(19) + HCOHX(23) <=> 2 HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 184236253.79594633 +- equation: CH2X(21) + HOCXO(35) <=> CH3OX(24) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: HCOHX(23) + HCOX(22) <=> CH3OX(24) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 60967019.55418524 +- equation: CH3COOX(25) + COX(19) <=> CH2COX(26) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 257841657.858039 +- equation: CH3COOHX(28) + COX(19) <=> CH3COOX(25) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH2COX2(27) + CH2X(21) <=> C2H4X2(30) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH2X(21) + HCOX(22) <=> CH3X(32) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 55966956.128033236 +- equation: COX(19) + HOCXO(35) <=> CO2X(36) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 167509689.74174654 +- equation: CHX(20) + HCOHX(23) <=> CH2X(21) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 112742416.48001407 +- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 89108210.838116 + duplicate: true +- equation: CH3COOHX(28) + CHX(20) <=> CH2X(21) + CH3COOX(25) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CHX(20) + COOHX(31) <=> HCOHX(23) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 2.3606654387125515e+20 + b: -0.07441820738726125 + Ea: 118482473.58896875 +- equation: CHX(20) + COOHX(31) <=> CH2X(21) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: 2 CH2X(21) <=> CH3X(32) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 84108147.41196401 +- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 89108210.838116 + duplicate: true +- equation: CH2X(21) + HCOHX(23) <=> CH3X(32) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 74146899.09419289 +- equation: CH2X(21) + CH3OX(24) <=> CH3X(32) + HCOHX(23) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 47149968.286924005 +- equation: CH2X(21) + CH3COOX(25) <=> CH2COX(26) + CH3OX(24) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 227644252.94263765 +- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH2X(21) + COOHX(31) <=> CH3OX(24) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH2X(21) + COOHX(31) <=> CH3X(32) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH2X(21) + HOCXO(35) <=> CH3X(32) + CO2X(36) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 57420335.03999308 +- equation: 2 HCOHX(23) <=> CH3OX(24) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 86849762.93360609 +- equation: CH3COOX(25) + HCOX(22) <=> CH2COX(26) + COOHX(31) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 130858280.6458121 +- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH3COOHX(28) + HCOHX(23) <=> CH3COOX(25) + CH3OX(24) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: COOHX(31) + HCOHX(23) <=> CH3OX(24) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: HCOHX(23) + HOCXO(35) <=> CH3OX(24) + CO2X(36) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 70123198.87940632 +- equation: CH3COOHX(28) + HOCXO(35) <=> CH3COOX(25) + COOHX(31) + type: interface-Arrhenius + rate-constant: + A: 1.254e+21 + b: 0.0 + Ea: 131383021.93699808 +- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 + duplicate: true +- equation: CH3COOX(25) + HOCXO(35) <=> CH3COOHX(28) + CO2X(36) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 64004883.585984856 +- equation: 2 HOCXO(35) <=> CO2X(36) + COOHX(31) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 65511750.51913242 +- equation: CH4(2) + HOX(33) + X(1) <=> CH3X(32) + H2OX(43) + type: sticking-Arrhenius + sticking-coefficient: + A: 1.0 + b: 0.0 + Ea: 10000000.0 +- equation: H2O(3) + X(1) <=> H2OX(43) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.75 + b: 0.0 + Ea: 0.0 +- equation: H2OX(43) + X(1) <=> HOX(33) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.15e+18 + b: 0.0 + Ea: 101400000.00000001 +- equation: H2OX(43) + OX(17) <=> 2 HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.0e+19 + b: 0.0 + Ea: 90500000.0 +- equation: COX(19) + H2OX(43) <=> HOCXO(35) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 4.43e+18 + b: 0.492 + Ea: 99160800.0 +- equation: CO2X(36) + H2OX(43) <=> HOCXO(35) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 3.48e+18 + b: -0.031 + Ea: 91434774.13589227 +- equation: CH2X(21) + H2OX(43) <=> CH3X(32) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 3.3e+18 + b: 0.099 + Ea: 58994400.00000001 +- equation: CHX(20) + H2OX(43) <=> CH2X(21) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 7.29e+18 + b: 0.269 + Ea: 142256000.0 +- equation: CX(18) + H2OX(43) <=> CHX(20) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 4.19e+18 + b: 0.09 + Ea: 65270400.00000001 +- equation: CHX(20) + H2OX(43) <=> HCOHX(23) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 7.932727848443955e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH2X(21) + H2OX(43) <=> CH3OX(24) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 7.932727848443955e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: HCOX(22) + HOX(33) <=> COX(19) + H2OX(43) + type: interface-Arrhenius + rate-constant: + A: 3.261e+20 + b: 0.0 + Ea: 28945602.70881056 +- equation: H2OX(43) + HCOHX(23) <=> CH3OX(24) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 7.932727848443955e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH3COOHX(28) + HOX(33) <=> CH3COOX(25) + H2OX(43) + type: interface-Arrhenius + rate-constant: + A: 1.254e+21 + b: 0.0 + Ea: 109509900.89857398 +- equation: COOHX(31) + HOX(33) <=> H2OX(43) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 107426878.96157578 +- equation: CH4(2) + X(1) <=> C.[Pt](84) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.008 + b: 0.0 + Ea: 0.0 +- equation: C.[Pt](84) + X(1) <=> CH3X(32) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.54e+20 + b: 0.087 + Ea: 55800000.000000015 +- equation: C.[Pt](84) + CX(18) <=> CH3X(32) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C.[Pt](84) + CHX(20) <=> CH2X(21) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C.[Pt](84) + COX(19) <=> CH3X(32) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 160116599.8927413 +- equation: C.[Pt](84) + HCOHX(23) <=> CH3OX(24) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH3COOHX(28) + CH3X(32) <=> C.[Pt](84) + CH3COOX(25) + type: interface-Arrhenius + rate-constant: + A: 1.254e+21 + b: 0.0 + Ea: 80600444.07764292 +- equation: CH3X(32) + COOHX(31) <=> C.[Pt](84) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 78517422.1406448 +- equation: C.[Pt](84) + CH2X(21) <=> 2 CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C.[Pt](84) + OX(17) <=> CH3X(32) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 5.62e+23 + b: -0.101 + Ea: 92700000.00000001 +- equation: CH3X(32) + HOCXO(35) <=> C.[Pt](84) + CO2X(36) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 28775417.599598866 +- equation: CH3X(32) + H2OX(43) <=> C.[Pt](84) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 100390543.17906903 +- equation: CH3COOHX(28) + CX(18) <=> CC#[Pt](307) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 2.3606654387125515e+20 + b: -0.07441820738726125 + Ea: 118482473.58896875 +- equation: CC#[Pt](307) + X(1) <=> CH3X(32) + CX(18) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 197242288.50492182 +- equation: C.[Pt](84) + CX(18) <=> CC#[Pt](307) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H2X2(338) <=> 2 CHX(20) + type: interface-Arrhenius + rate-constant: + A: 7930000000000.0 + b: 0.0 + Ea: 90000000.00000001 +- equation: HCOX(22) + X(1) <=> CHOX2(110) + type: interface-Arrhenius + rate-constant: + A: 1.0e+20 + b: 0.0 + Ea: 0.0 +- equation: HCOHX(23) + 2 X(1) <=> CHOX2(110) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.8566666666666664e+27 + b: 0.0 + Ea: 46000000.00000001 +- equation: CHX(20) + OX(17) <=> CHOX2(110) + type: interface-Arrhenius + rate-constant: + A: 6.54e+20 + b: 0.0 + Ea: 142000000.0 +- equation: CHOX2(110) + COX(19) <=> CHX(20) + OCXOX(34) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: C2H2X2(338) + OX(17) <=> CHOX2(110) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 6.596e+20 + b: 0.0 + Ea: 0.0 +- equation: C#C.[Pt](513) + X(1) <=> C2H2X2(338) + type: interface-Arrhenius + rate-constant: + A: 1.0e+20 + b: 0.0 + Ea: 0.0 +- equation: C2H4(11) + 2 X(1) <=> C2H3X(88) + HX(16) + type: sticking-Arrhenius + sticking-coefficient: + A: 0.1 + b: 0.0 + Ea: 49942316.1792833 +- equation: C2H4X(29) + X(1) <=> C2H3X(88) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 10479056557881.693 + b: 1.6009912295246733 + Ea: 79448444.9235931 +- equation: C2H4X(29) + OX(17) <=> C2H3X(88) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 5.62e+23 + b: -0.101 + Ea: 92700000.00000001 +- equation: C2H4X(29) + CX(18) <=> C2H3X(88) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H4X(29) + COX(19) <=> C2H3X(88) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H3X(88) + X(1) <=> CH2X(21) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 145637492.82208303 +- equation: C2H4X(29) + CHX(20) <=> C2H3X(88) + CH2X(21) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H4X(29) + CH2X(21) <=> C2H3X(88) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H4X(29) + HCOHX(23) <=> C2H3X(88) + CH3OX(24) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H4X(29) + CH3COOX(25) <=> C2H3X(88) + CH3COOHX(28) + type: interface-Arrhenius + rate-constant: + A: 1.672e+21 + b: 0.0 + Ea: 135491449.11999902 +- equation: C2H4X(29) + CH3X(32) <=> C.[Pt](84) + C2H3X(88) + type: interface-Arrhenius + rate-constant: + A: 1.672e+21 + b: 0.0 + Ea: 86791893.19764192 +- equation: C2H4X(29) + HOX(33) <=> C2H3X(88) + H2OX(43) + type: interface-Arrhenius + rate-constant: + A: 1.672e+21 + b: 0.0 + Ea: 115701350.01857296 +- equation: C2H4X(29) + HOCXO(35) <=> C2H3X(88) + COOHX(31) + type: interface-Arrhenius + rate-constant: + A: 1.672e+21 + b: 0.0 + Ea: 137574471.05699712 +- equation: C2H3X(88) + HOCXO(35) <=> C2H4X(29) + CO2X(36) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 59525962.94598559 +- equation: C2H3X(88) + 2 X(1) <=> C2H2X2(338) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 1.8566666666666664e+27 + b: 0.0 + Ea: 46000000.00000001 +- equation: C2H3X(88) + CH3COOX(25) <=> C#C.[Pt](513) + CH3COOHX(28) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 188214833.61283815 +- equation: 2 C2H3X(88) <=> C#C.[Pt](513) + C2H4X(29) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 183735912.9728388 +- equation: C2H3X(88) + HOCXO(35) <=> C#C.[Pt](513) + COOHX(31) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 189721700.54598567 +- equation: C2H3X(88) + HOX(33) <=> C#C.[Pt](513) + H2OX(43) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 173898591.70967877 +- equation: C2H3X(88) + CH3X(32) <=> C#C.[Pt](513) + C.[Pt](84) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 152985367.6264521 +- equation: C2H4X2(30) + X(1) <=> C2H3X2(120) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 2.225e+20 + b: 0.0 + Ea: 59000000.00000001 +- equation: C2H3X2(120) + HOX(33) <=> C2H4X2(30) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: C2H4X2(30) + CX(18) <=> C2H3X2(120) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.4851607320421568e+21 + b: 0.0 + Ea: 39186738.0315976 +- equation: C2H3X2(120) + HCOX(22) <=> C2H4X2(30) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 57175560.28408988 +- equation: C2H3X2(120) <=> CH2X(21) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 27400000000000.0 + b: 0.0 + Ea: 140000000.00000003 +- equation: CH2COX2(27) + CHX(20) <=> C2H3X2(120) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 4.4e+21 + b: 0.101 + Ea: 42400000.0 +- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 85316751.56802069 + duplicate: true +- equation: C2H4X2(30) + CH2X(21) <=> C2H3X2(120) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.4851607320421568e+21 + b: 0.0 + Ea: 49045697.92197167 +- equation: C2H3X2(120) + HCOHX(23) <=> C2H4X2(30) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 4.18e+20 + b: 0.0 + Ea: 77217406.95012063 +- equation: C2H3X2(120) + CH3OX(24) <=> C2H4X2(30) + HCOHX(23) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 47754270.364952326 +- equation: C2H3X2(120) + CH3COOHX(28) <=> C2H4X2(30) + CH3COOX(25) + type: interface-Arrhenius + rate-constant: + A: 1.1899091772665933e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C.[Pt](84) + C2H3X2(120) <=> C2H4X2(30) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H3X2(120) + H2OX(43) <=> C2H4X2(30) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 7.932727848443955e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H3X2(120) + COOHX(31) <=> C2H4X2(30) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 3.9663639242219776e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H3X2(120) + X(1) <=> C2H2X2(338) + HX(16) + type: interface-Arrhenius + rate-constant: + A: 4.7500000000000007e+20 + b: 0.0 + Ea: 72000000.0 +- equation: C2H3X2(120) + CX(18) <=> C2H2X2(338) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 61189750.20487869 + duplicate: true +- equation: C2H3X2(120) + CHX(20) <=> C2H2X2(338) + CH2X(21) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 149879442.16881678 + duplicate: true +- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 2.78e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: C2H3X2(120) + COX(19) <=> C2H2X2(338) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 221373279.48474905 + duplicate: true +- equation: C2H2X2(338) + HCOHX(23) <=> C2H3X2(120) + HCOX(22) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 92162974.31119731 +- equation: C2H3X2(120) + HCOHX(23) <=> C2H2X2(338) + CH3OX(24) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 123986788.6224088 + duplicate: true +- equation: C2H2X2(338) + CH3COOHX(28) <=> C2H3X2(120) + CH3COOX(25) + type: interface-Arrhenius + rate-constant: + A: 2.3798183545331866e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H2X2(338) + C2H4X(29) <=> C2H3X(88) + C2H3X2(120) + type: interface-Arrhenius + rate-constant: + A: 3.173091139377582e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: 2 C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 114354432.63892333 + duplicate: true +- equation: C2H2X2(338) + COOHX(31) <=> C2H3X2(120) + HOCXO(35) + type: interface-Arrhenius + rate-constant: + A: 7.932727848443955e+17 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H3X2(120) + CH2X(21) <=> C2H2X2(338) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 111283924.7829956 + duplicate: true +- equation: C2H3X2(120) + OX(17) <=> C2H2X2(338) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 140986479.30347368 + duplicate: true +- equation: C2H2X2(338) + H2OX(43) <=> C2H3X2(120) + HOX(33) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C.[Pt](84) + C2H2X2(338) <=> C2H3X2(120) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 3.173091139377582e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: CH2X(21) + CHOX2(110) <=> C2H3X2(120) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 +- equation: C2H3X(88) + X(1) <=> C2H3X2(120) + type: interface-Arrhenius + rate-constant: + A: 7.15e+19 + b: 0.0 + Ea: 3000000.0 +- equation: C2H3X2(120) + C2H4X(29) <=> C2H3X(88) + C2H4X2(30) + type: interface-Arrhenius + rate-constant: + A: 1.586545569688791e+18 + b: -0.047836414774522495 + Ea: 144264947.1779375 +- equation: C2H2X2(338) + HOX(33) <=> C2H3X2(120) + OX(17) + type: interface-Arrhenius + rate-constant: + A: 2.78e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: C2H3X2(120) + CX(18) <=> C2H2X2(338) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 36245323.178619735 + duplicate: true +- equation: C2H2X2(338) + HCOX(22) <=> C2H3X2(120) + COX(19) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 63058389.99004559 + duplicate: true +- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 2.78e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.672e+21 + b: 0.0 + Ea: 91199581.2739764 + duplicate: true +- equation: C2H3X2(120) + CH2X(21) <=> C2H2X2(338) + CH3X(32) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 46104283.068993814 + duplicate: true +- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 1.39e+20 + b: 0.101 + Ea: 19000000.0 + duplicate: true +- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) + type: interface-Arrhenius + rate-constant: + A: 8.36e+20 + b: 0.0 + Ea: 85316751.56802069 + duplicate: true +- equation: C2H2X2(338) + CH3OX(24) <=> C2H3X2(120) + HCOHX(23) + type: interface-Arrhenius + rate-constant: + A: 1.4851607320421568e+21 + b: 0.0 + Ea: 50695685.21793019 + duplicate: true +- equation: 2 C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) + type: interface-Arrhenius + rate-constant: + A: 7.425803660210784e+20 + b: 0.0 + Ea: 46708585.147022136 + duplicate: true diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml new file mode 100644 index 00000000000..c1fd72df891 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml @@ -0,0 +1,1117 @@ +generator: ck2yaml +input-files: [chem0047-gas.inp, chem0047-surface.inp, tran.dat] +cantera-version: 3.2.0a1 +date: Fri, 21 Feb 2025 07:38:38 -0500 + +units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} + +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, + X] + species: [Ar, Ne, N2, CH4(2), H2O(3), CO2(4), H2(5), CO(6), O2(7), C2H6(8), + CH3(9), CH3OH(10), C2H4(11), CH3CHO(12), C3H6O(13), C2H6O(14), CH3COOCH3(15)] + kinetics: gas + reactions: + - gas-reactions + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} +- name: site0 + thermo: ideal-surface + adjacent-phases: [gas] + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, + X] + species: [X(1), HX(16), OX(17), CX(18), COX(19), CHX(20), CH2X(21), HCOX(22), + HCOHX(23), CH3OX(24), CH3COOX(25), CH2COX(26), CH2COX2(27), CH3COOHX(28), + C2H4X(29), C2H4X2(30), COOHX(31), CH3X(32), HOX(33), OCXOX(34), HOCXO(35), + CO2X(36), H2OX(43), 'C.[Pt](84)', C2H3X(88), CHOX2(110), C2H3X2(120), + 'CC#[Pt](307)', C2H2X2(338), 'C#C.[Pt](513)'] + site-density: 3.148e-09 + kinetics: surface + reactions: + - site0-reactions + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 +- symbol: X + atomic-weight: 195.083 + +species: +- name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + transport: + model: gas + geometry: atom + well-depth: 136.501 + diameter: 3.33 + note: GRI-Mech +- name: Ne + composition: {Ne: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + transport: + model: gas + geometry: atom + well-depth: 148.6 + diameter: 3.758 + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. + This is the fallback method! Try improving transport databases! +- name: N2 + composition: {N: 2} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, + 2.96747] + - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, + 5.87189] + transport: + model: gas + geometry: linear + well-depth: 97.53 + diameter: 3.621 + polarizability: 1.76 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: CH4(2) + composition: {C: 1, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1084.12, 5000.0] + data: + - [4.2054162, -5.35558463e-03, 2.51123636e-05, -2.13763299e-08, 5.97525767e-12, + -1.01619433e+04, -0.921282727] + - [0.908260213, 0.0114540949, -4.57174339e-06, 8.2919286e-10, -5.66315868e-14, + -9719.97202, 13.9931256] + transport: + model: gas + geometry: nonlinear + well-depth: 141.4 + diameter: 3.746 + polarizability: 2.6 + rotational-relaxation: 13.0 + note: GRI-Mech +- name: H2O(3) + composition: {H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1130.24, 5000.0] + data: + - [4.05763622, -7.87940252e-04, 2.90878932e-06, -1.47520578e-09, 2.12849596e-13, + -3.02815867e+04, -0.31136547] + - [2.84324781, 2.75108975e-03, -7.81033883e-07, 1.07244192e-10, -5.79396739e-15, + -2.99586116e+04, 5.91043491] + transport: + model: gas + geometry: nonlinear + well-depth: 572.402 + diameter: 2.605 + dipole: 1.844 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: CO2(4) + composition: {C: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 978.22, 5000.0] + data: + - [3.28084424, 2.50186e-03, 8.08190844e-06, -1.20510196e-08, 4.66541928e-12, + -4.84008303e+04, 6.00081544] + - [4.67427528, 2.60962688e-03, -9.85682082e-07, 1.95712015e-10, -1.49834714e-14, + -4.89512173e+04, -2.11078032] + transport: + model: gas + geometry: linear + well-depth: 244.001 + diameter: 3.763 + polarizability: 2.65 + rotational-relaxation: 2.1 + note: GRI-Mech +- name: H2(5) + composition: {H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1959.08, 5000.0] + data: + - [3.43536434, 2.12708431e-04, -2.78620683e-07, 3.40263746e-10, -7.76023528e-14, + -1031.35985, -3.90841817] + - [2.78814269, 5.87671008e-04, 1.58996341e-07, -5.52710777e-11, 4.34290394e-15, + -596.130615, 0.112869836] + transport: + model: gas + geometry: linear + well-depth: 38.0 + diameter: 2.92 + polarizability: 0.79 + rotational-relaxation: 280.0 + note: GRI-Mech +- name: CO(6) + composition: {C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1571.66, 5000.0] + data: + - [3.568379, -8.52116139e-04, 2.48915308e-06, -1.56328741e-09, 3.13588507e-13, + -1.42842549e+04, 3.57912548] + - [2.91309589, 1.64653676e-03, -6.88594068e-07, 1.21032927e-10, -7.83984059e-15, + -1.41808999e+04, 6.71028742] + transport: + model: gas + geometry: linear + well-depth: 98.1 + diameter: 3.65 + polarizability: 1.95 + rotational-relaxation: 1.8 + note: GRI-Mech +- name: O2(7) + composition: {O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1074.56, 5000.0] + data: + - [3.5373218, -1.21570921e-03, 5.31617794e-06, -4.89443384e-09, 1.45845027e-12, + -1038.58846, 4.68368409] + - [3.15382429, 1.67803794e-03, -7.6997098e-07, 1.51274704e-10, -1.08781793e-14, + -1040.8188, 6.16753859] + transport: + model: gas + geometry: linear + well-depth: 107.4 + diameter: 3.458 + polarizability: 1.6 + rotational-relaxation: 3.8 + note: GRI-Mech +- name: C2H6(8) + composition: {C: 2, H: 6} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1012.41, 5000.0] + data: + - [3.72240272, 1.65072169e-03, 3.44179642e-05, -3.76863565e-08, 1.24452922e-11, + -1.15575906e+04, 4.68244489] + - [2.82844025, 0.0173041283, -6.73338349e-06, 1.23742991e-09, -8.65684403e-14, + -1.19977901e+04, 5.93835568] + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: CH3(9) + composition: {C: 1, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 697.65, 5000.0] + data: + - [3.96043159, 5.92932552e-04, 8.78578091e-06, -9.88034326e-09, 3.63236374e-12, + 1.64218817e+04, 0.339863476] + - [3.09511244, 5.55429753e-03, -1.88158775e-06, 3.13334801e-10, -2.05194992e-14, + 1.6542619e+04, 4.20297572] + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech +- name: CH3OH(10) + composition: {C: 1, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1035.74, 5000.0] + data: + - [3.84006783, 1.38235301e-03, 1.91669514e-05, -2.01571623e-08, 6.39114598e-12, + -2.5608309e+04, 5.90976096] + - [2.79181596, 0.0115828305, -4.51554511e-06, 8.21212761e-10, -5.67068242e-14, + -2.57211558e+04, 9.41076841] + transport: + model: gas + geometry: nonlinear + well-depth: 481.802 + diameter: 3.626 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: C2H4(11) + composition: {C: 2, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 979.36, 5000.0] + data: + - [3.97470128, -4.75826421e-03, 4.16777338e-05, -4.51383953e-08, 1.54221026e-11, + 4915.40809, 3.62436113] + - [3.55666159, 0.0110626515, -4.17013587e-06, 7.85573759e-10, -5.70050015e-14, + 4320.44172, 2.17688265] + transport: + model: gas + geometry: nonlinear + well-depth: 280.801 + diameter: 3.971 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: CH3CHO(12) + composition: {C: 2, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1028.8, 5000.0] + data: + - [3.57992942, 5.18977048e-03, 2.26899736e-05, -2.73745515e-08, 9.28491703e-12, + -2.13697376e+04, 8.96969617] + - [4.08561394, 0.0139061616, -5.59372584e-06, 1.0460983e-09, -7.38743189e-14, + -2.20391238e+04, 3.76815598] + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: C3H6O(13) + composition: {C: 3, H: 6, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1023.95, 5000.0] + data: + - [3.0114016, 0.0154683797, 2.15009892e-05, -3.24611554e-08, 1.17874118e-11, + -2.78712432e+04, 13.2203279] + - [5.79591807, 0.0200763349, -7.93430225e-06, 1.47305067e-09, -1.03775439e-13, + -2.92532887e+04, -4.24334634] + transport: + model: gas + geometry: nonlinear + well-depth: 385.407 + diameter: 5.33 + note: Epsilon & sigma estimated with Tc=500.53 K, Pc=48.02 bar (from + Joback method) +- name: C2H6O(14) + composition: {C: 2, H: 6, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.0, 5000.0] + data: + - [3.24025953, 0.0104859578, 2.63967696e-05, -3.69293568e-08, 1.36710598e-11, + -2.99902844e+04, 11.1433019] + - [5.68494153, 0.016131329, -5.96365742e-06, 1.08897208e-09, -7.69620903e-14, + -3.12258211e+04, -4.44489193] + transport: + model: gas + geometry: nonlinear + well-depth: 362.6 + diameter: 4.53 + rotational-relaxation: 1.5 + note: NOx2018 +- name: CH3COOCH3(15) + composition: {C: 3, H: 6, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1154.01, 5000.0] + data: + - [2.75062207, 0.0220813071, 1.21742176e-05, -2.19214056e-08, 7.33620226e-12, + -5.11793699e+04, 16.5002438] + - [5.62526438, 0.0261099804, -1.12500953e-05, 2.11765104e-09, -1.47683111e-13, + -5.27745799e+04, -1.8169542] + transport: + model: gas + geometry: nonlinear + well-depth: 385.633 + diameter: 5.473 + note: Epsilon & sigma estimated with Tc=500.82 K, Pc=44.39 bar (from + Joback method) +- name: X(1) + composition: {X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 2000.0] + data: + - [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] +- name: HX(16) + composition: {H: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [-2.0151091, 0.0127747196, -1.36892852e-05, 6.6707688e-09, -1.15946694e-12, + -5530.52906, 8.4468689] + - [-0.184968995, 6.05229805e-03, -4.83715532e-06, 1.81340221e-09, -2.61948776e-13, + -5915.33033, -0.504191778] +- name: OX(17) + composition: {O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [0.195855852, 0.0116923252, -2.02271203e-05, 1.61601691e-08, -4.90070914e-12, + -2.69189243e+04, -2.01768707] + - [2.9043837, -2.74871763e-04, 5.38558858e-07, -3.03946989e-10, 5.63969783e-14, + -2.74411389e+04, -14.894415] +- name: CX(18) + composition: {C: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [-0.573265619, 0.0144803183, -2.45704673e-05, 1.93668551e-08, -5.81642502e-12, + 1.47661073e+04, 1.2024425] + - [2.71617577, 1.99967762e-05, 3.4803163e-07, -2.47205634e-10, 5.00169813e-14, + 1.41308872e+04, -14.4477318] +- name: COX(19) + composition: {C: 1, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [3.13851368, 7.37719433e-03, -1.21673211e-05, 1.06231734e-08, -3.55085256e-12, + -3.01011015e+04, -14.0684039] + - [4.39015575, 1.21423223e-03, 2.26543548e-08, -2.74772156e-10, 6.84375847e-14, + -3.03339593e+04, -19.9186406] +- name: CHX(20) + composition: {C: 1, H: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [0.444067538, 7.15965809e-03, -6.05381899e-06, 4.41670377e-09, -1.57758787e-12, + 2484.09325, -2.97930741] + - [0.470984781, 6.44724983e-03, -3.18677769e-06, 7.11925015e-10, -5.43593812e-14, + 2479.24869, -3.03223839] +- name: CH2X(21) + composition: {C: 1, H: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [-0.719249342, 0.0165071735, -1.7499851e-05, 1.09676908e-08, -2.88981251e-12, + 1684.1105, 2.01831094] + - [0.983780574, 8.78623452e-03, -4.38766259e-06, 1.09400822e-09, -1.10409266e-13, + 1383.36061, -5.98458146] +- name: HCOX(22) + composition: {C: 1, H: 1, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [1.67902911, 0.0139424587, -1.51013698e-05, 9.67718274e-09, -2.69733533e-12, + -2.16030349e+04, -8.23427981] + - [3.03186697, 8.02892147e-03, -4.79702422e-06, 1.39761897e-09, -1.61417712e-13, + -2.18711786e+04, -14.692113] +- name: HCOHX(23) + composition: {C: 1, H: 2, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [4.61466774, 1.97736658e-03, 1.13520606e-05, -1.28686112e-08, 4.2885424e-12, + -2.08405084e+04, -18.3405542] + - [2.12897595, 0.0131031973, -8.04327296e-06, 2.48752777e-09, -3.12401921e-13, + -2.03714667e+04, -6.56664446] +- name: CH3OX(24) + composition: {C: 1, H: 3, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [1.7232417, 0.0246490814, -2.80859624e-05, 1.72678472e-08, -4.26645223e-12, + -2.48262518e+04, -8.86801544] + - [5.35800551, 9.63360342e-03, -4.83501645e-06, 1.27341188e-09, -1.42248592e-13, + -2.55298238e+04, -26.2856418] +- name: CH3COOX(25) + composition: {C: 2, H: 3, O: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.45, 5000.0] + data: + - [3.02828539, 0.0110970672, 3.41082297e-05, -5.16093316e-08, 1.99821439e-11, + -5.45206963e+04, -8.73048049] + - [9.44448672, 0.0106736832, -4.32452634e-06, 8.80622118e-10, -6.79718867e-14, + -5.70267527e+04, -45.8963898] +- name: CH2COX(26) + composition: {C: 2, H: 2, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 961.81, 5000.0] + data: + - [3.22979879, 0.0140344939, -3.56351755e-06, -6.07820031e-09, 3.58358908e-12, + -1.63752671e+04, -9.06405904] + - [6.75419818, 6.25332972e-03, -2.15210043e-06, 3.76495412e-10, -2.61805748e-14, + -1.73712808e+04, -27.5834188] +- name: CH2COX2(27) + composition: {C: 2, H: 2, O: 1, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.96, 5000.0] + data: + - [3.26076086, 8.7928684e-03, 2.17502605e-05, -3.77663092e-08, 1.60291613e-11, + -2.76935704e+04, -15.9429794] + - [8.93173327, 3.51833532e-03, -4.46393644e-07, 6.27459976e-11, -6.93713499e-15, + -2.95785579e+04, -47.3445934] + sites: 2.0 +- name: CH3COOHX(28) + composition: {C: 2, H: 4, O: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1048.69, 5000.0] + data: + - [2.87239041, 0.0186927828, 1.0088838e-05, -2.2522588e-08, 8.70045824e-12, + -5.86586621e+04, -3.00900633] + - [7.28794498, 0.0162041238, -6.88201857e-06, 1.31748685e-09, -9.41982125e-14, + -6.03740403e+04, -28.2845346] +- name: C2H4X(29) + composition: {C: 2, H: 4, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 976.84, 5000.0] + data: + - [3.68521618, 1.29459688e-03, 3.31761373e-05, -3.98904869e-08, 1.42375526e-11, + -4431.57003, -13.4989988] + - [4.82101323, 0.0111302021, -4.17185101e-06, 7.79847051e-10, -5.63879306e-14, + -5344.63674, -22.4897119] +- name: C2H4X2(30) + composition: {C: 2, H: 4, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 945.14, 5000.0] + data: + - [3.75453554, -5.06560113e-03, 6.10124816e-05, -7.41721149e-08, 2.76310662e-11, + -8730.58083, -18.7893661] + - [7.0112633, 7.95379231e-03, -2.18738926e-06, 4.10888303e-10, -3.33917238e-14, + -1.05433116e+04, -40.6504605] + sites: 2.0 +- name: COOHX(31) + composition: {C: 1, H: 2, O: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1005.04, 5000.0] + data: + - [3.53006779, 4.5594231e-03, 2.37656598e-05, -3.19406145e-08, 1.16843843e-11, + -5.57122182e+04, -7.0212104] + - [6.30081585, 8.20615627e-03, -3.57786011e-06, 7.24341931e-10, -5.45315781e-14, + -5.70102822e+04, -24.089423] +- name: CH3X(32) + composition: {C: 1, H: 3, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [-0.552219087, 0.0264420133, -3.55617257e-05, 2.60043628e-08, -7.52706787e-12, + -4433.46585, 0.692144274] + - [3.62557353, 7.39511955e-03, -2.43797398e-06, 1.86159414e-10, 3.64849549e-14, + -5187.22188, -18.9668272] +- name: HOX(33) + composition: {H: 1, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [1.58477686, 3.87867982e-03, 1.34107764e-06, -3.93949585e-09, 1.68540254e-12, + -2.90977259e+04, -7.42452379] + - [1.42377797, 5.57119676e-03, -3.3929338e-06, 1.09513419e-09, -1.46734126e-13, + -2.90972119e+04, -6.85806991] +- name: OCXOX(34) + composition: {C: 1, O: 2, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 924.81, 5000.0] + data: + - [2.99016038, 3.95026566e-03, 2.32709252e-05, -3.78809105e-08, 1.60937226e-11, + -7.26325759e+04, -13.5698649] + - [8.52643192, -1.29139803e-03, 1.43612907e-06, -2.72457525e-10, 1.56499624e-14, + -7.44564313e+04, -44.1708301] + sites: 2.0 +- name: HOCXO(35) + composition: {C: 1, H: 1, O: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [298.0, 1000.0, 2000.0] + data: + - [0.700750147, 0.0322756606, -4.70618414e-05, 3.45557357e-08, -1.00331658e-11, + -5.18553737e+04, -4.52637913] + - [6.47849692, 7.149868e-03, -4.22981914e-06, 1.15767979e-09, -1.19086295e-13, + -5.29808669e+04, -32.0736929] +- name: CO2X(36) + composition: {C: 1, O: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1008.22, 5000.0] + data: + - [2.99486686, 9.1859654e-03, -4.12216169e-06, -1.93581616e-09, 1.52889555e-12, + -5.52644684e+04, -8.95864383] + - [5.5544293, 3.15500565e-03, -1.28472914e-06, 2.44776789e-10, -1.77304007e-14, + -5.59901848e+04, -22.3674392] +- name: H2OX(43) + composition: {H: 2, O: 1, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 992.64, 5000.0] + data: + - [3.76908588, 6.11563654e-03, -9.97117455e-06, 9.22181366e-09, -3.06918553e-12, + -3.63110221e+04, -15.097954] + - [3.72684086, 3.24910958e-03, -1.05058226e-06, 1.4868916e-10, -7.88009793e-15, + -3.61530243e+04, -14.1408565] +- name: C.[Pt](84) + composition: {C: 1, H: 4, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1348.93, 5000.0] + data: + - [3.88778247, 2.73614901e-03, 9.4539386e-06, -8.27597758e-09, 2.02464154e-12, + -1.52760571e+04, -16.0790121] + - [2.18944665, 0.0116179596, -4.69896427e-06, 8.32126369e-10, -5.50758229e-14, + -1.51677557e+04, -8.67409218] +- name: C2H3X(88) + composition: {C: 2, H: 3, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 938.98, 5000.0] + data: + - [3.81685519, -4.95931081e-03, 5.14561017e-05, -6.31488072e-08, 2.37947355e-11, + 486.184087, -15.8827955] + - [6.91814077, 4.84563155e-03, -9.74675469e-07, 1.80928841e-10, -1.67111339e-14, + -1110.88612, -36.0524171] +- name: CHOX2(110) + composition: {C: 1, H: 1, O: 1, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 926.62, 5000.0] + data: + - [3.83288765, -1.66030981e-03, 2.65567139e-05, -3.48666745e-08, 1.36873378e-11, + -3.03571213e+04, -16.1403346] + - [6.41356232, 8.72293869e-04, 3.23559931e-07, -6.87494619e-11, 2.59893837e-15, + -3.14223679e+04, -31.5612771] + sites: 2.0 +- name: C2H3X2(120) + composition: {C: 2, H: 3, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.26, 5000.0] + data: + - [3.83884173, -8.20968791e-03, 6.65622816e-05, -8.22315252e-08, 3.13833554e-11, + -3285.2632, -19.4608522] + - [8.29116405, 2.7943035e-03, 3.10260044e-07, -6.34389013e-11, -1.00801055e-15, + -5420.92646, -47.6378634] + sites: 2.0 +- name: CC#[Pt](307) + composition: {C: 2, H: 3, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1264.64, 5000.0] + data: + - [3.48625379, 9.84987882e-03, -1.12672006e-06, -2.61528606e-09, 9.94677768e-13, + -1928.44075, 2.78657041] + - [4.86544012, 8.67860765e-03, -3.5223538e-06, 6.42820852e-10, -4.38235056e-14, + -2532.45047, -5.19990243] +- name: C2H2X2(338) + composition: {C: 2, H: 2, X: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 928.31, 5000.0] + data: + - [3.24504151, -2.17602793e-03, 3.97905523e-05, -5.17087642e-08, 2.01509093e-11, + 258.438338, -18.4980145] + - [6.79698348, 2.4664034e-03, 5.71681686e-08, -2.66859189e-11, -1.21979217e-15, + -1260.51216, -39.9991896] + sites: 2.0 +- name: C#C.[Pt](513) + composition: {C: 2, H: 2, X: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 946.82, 5000.0] + data: + - [3.06056828, 7.58728095e-03, 2.14479983e-06, -8.0788862e-09, 3.69953519e-12, + 1.90210409e+04, -9.52387326] + - [4.94027909, 4.78722202e-03, -1.56395445e-06, 2.67276194e-10, -1.84169549e-14, + 1.8434649e+04, -19.7065975] + +gas-reactions: +- equation: CH3(9) + CH3(9) <=> C2H6(8) # Reaction 1 + rate-constant: {A: 9.45e+14, b: -0.538, Ea: 0.135} +- equation: CO(6) + CH4(2) <=> CH3CHO(12) # Reaction 2 + rate-constant: {A: 6.56e+04, b: 2.86, Ea: 86.9} +- equation: CO(6) + C2H6(8) <=> C3H6O(13) # Reaction 3 + rate-constant: {A: 538.0, b: 3.29, Ea: 104.5} +- equation: H2O(3) + C2H4(11) <=> C2H6O(14) # Reaction 4 + rate-constant: {A: 588.0, b: 2.94, Ea: 53.1} +- equation: CO2(4) + C2H6(8) <=> CH3COOCH3(15) # Reaction 5 + rate-constant: {A: 292.0, b: 3.13, Ea: 116.33} + +site0-reactions: +- equation: X(1) + X(1) + H2(5) <=> HX(16) + HX(16) # Reaction 1 + sticking-coefficient: {A: 0.032, b: 0.0, Ea: 0.0} +- equation: X(1) + X(1) + O2(7) <=> OX(17) + OX(17) # Reaction 2 + sticking-coefficient: {A: 0.0436, b: -0.206, Ea: 0.359} +- equation: X(1) + CO(6) <=> COX(19) # Reaction 3 + sticking-coefficient: {A: 0.5, b: 0.0, Ea: 0.0} +- equation: X(1) + COX(19) <=> OX(17) + CX(18) # Reaction 4 + rate-constant: {A: 1.75e+13, b: 0.0, Ea: 27.772} +- equation: COX(19) + COX(19) <=> X(1) + CX(18) + CO2(4) # Reaction 5 + rate-constant: {A: 1.62e+14, b: 0.5, Ea: 57.768} +- equation: OX(17) + COX(19) <=> X(1) + X(1) + CO2(4) # Reaction 6 + rate-constant: {A: 2.0e+19, b: 0.0, Ea: 29.541} +- equation: HX(16) + CX(18) <=> X(1) + CHX(20) # Reaction 7 + rate-constant: {A: 1.7e+24, b: -0.5, Ea: 37.739} +- equation: HX(16) + COX(19) <=> OX(17) + CHX(20) # Reaction 8 + rate-constant: {A: 1.26e+20, b: 0.073, Ea: 45.8} +- equation: HX(16) + CHX(20) <=> X(1) + CH2X(21) # Reaction 9 + rate-constant: {A: 9.77e+24, b: -0.087, Ea: 19.359} +- equation: H2(5) + CX(18) <=> CH2X(21) # Reaction 10 + sticking-coefficient: {A: 0.04, b: 0.0, Ea: 7.098} +- equation: OX(17) + CHX(20) <=> X(1) + HCOX(22) # Reaction 11 + rate-constant: {A: 4.59e+20, b: 0.0, Ea: 26.267} +- equation: X(1) + HCOX(22) <=> HX(16) + COX(19) # Reaction 12 + rate-constant: {A: 3.71e+21, b: 0.0, Ea: 0.0} +- equation: HX(16) + CH3X(32) <=> X(1) + X(1) + CH4(2) # Reaction 13 + rate-constant: {A: 1.44e+22, b: -0.087, Ea: 15.153} +- equation: HX(16) + CH2X(21) <=> X(1) + CH3X(32) # Reaction 14 + rate-constant: {A: 3.09e+23, b: -0.087, Ea: 13.671} +- equation: X(1) + CH3(9) <=> CH3X(32) # Reaction 15 + sticking-coefficient: {A: 0.16, b: -0.099, Ea: 0.0} +- equation: HOX(33) + CX(18) <=> HX(16) + COX(19) # Reaction 16 + rate-constant: {A: 3.88e+25, b: 0.188, Ea: 14.938} +- equation: HOX(33) + CH3X(32) <=> X(1) + OX(17) + CH4(2) # Reaction 17 + rate-constant: {A: 2.98e+22, b: 0.101, Ea: 6.166} +- equation: HOX(33) + CH2X(21) <=> OX(17) + CH3X(32) # Reaction 18 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: HOX(33) + CHX(20) <=> OX(17) + CH2X(21) # Reaction 19 + rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} +- equation: HOX(33) + CX(18) <=> OX(17) + CHX(20) # Reaction 20 + rate-constant: {A: 2.43e+21, b: -0.312, Ea: 28.418} +- equation: HX(16) + HOX(33) <=> X(1) + X(1) + H2O(3) # Reaction 21 + rate-constant: {A: 1.85e+20, b: 0.086, Ea: 9.919} +- equation: X(1) + HOX(33) <=> OX(17) + HX(16) # Reaction 22 + rate-constant: {A: 2.25e+20, b: 0.188, Ea: 7.075} +- equation: HOX(33) + HOX(33) <=> X(1) + OX(17) + H2O(3) # Reaction 23 + rate-constant: {A: 2.34e+20, b: 0.274, Ea: 22.06} +- equation: HOX(33) + HCOX(22) <=> HX(16) + HOCXO(35) # Reaction 24 + rate-constant: {A: 2.28e+20, b: 0.263, Ea: 3.8} +- equation: X(1) + HOCXO(35) <=> HOX(33) + COX(19) # Reaction 25 + rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} +- equation: X(1) + HOCXO(35) <=> X(1) + HX(16) + CO2(4) # Reaction 26 + rate-constant: {A: 3.73e+20, b: 0.475, Ea: 8.031} +- equation: COX(19) + COX(19) <=> CX(18) + CO2X(36) # Reaction 27 + rate-constant: {A: 1.62e+14, b: 0.5, Ea: 57.768} +- equation: X(1) + CO2(4) <=> CO2X(36) # Reaction 28 + sticking-coefficient: {A: 5.0e-03, b: 0.0, Ea: 0.0} +- equation: OX(17) + COX(19) <=> X(1) + CO2X(36) # Reaction 29 + rate-constant: {A: 3.7e+21, b: 0.0, Ea: 28.107} +- equation: HOX(33) + COX(19) <=> HX(16) + CO2X(36) # Reaction 30 + rate-constant: {A: 1.0e+19, b: 0.0, Ea: 9.25} +- equation: X(1) + HOCXO(35) <=> HX(16) + CO2X(36) # Reaction 31 + rate-constant: {A: 4.27e+19, b: 0.549, Ea: 1.0} +- equation: HOX(33) + CO2X(36) <=> OX(17) + HOCXO(35) # Reaction 32 + rate-constant: {A: 2.15e+19, b: 0.097, Ea: 26.5} +- equation: CH2COX2(27) <=> COX(19) + CH2X(21) # Reaction 33 + rate-constant: {A: 4.22e+12, b: 0.0, Ea: 24.857} +- equation: X(1) + CH2COX(26) <=> CH2COX2(27) # Reaction 34 + rate-constant: {A: 2.0e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + C2H4(11) <=> C2H4X(29) # Reaction 35 + sticking-coefficient: {A: 7.0e-06, b: 0.0, Ea: 0.0} +- equation: X(1) + X(1) + C2H4(11) <=> C2H4X2(30) # Reaction 36 + sticking-coefficient: {A: 0.69, b: 0.0, Ea: 0.0} +- equation: CH2X(21) + CH2X(21) <=> C2H4X2(30) # Reaction 37 + rate-constant: {A: 9.89e+23, b: 0.0, Ea: 36.807} +- equation: X(1) + C2H4X(29) <=> C2H4X2(30) # Reaction 38 + rate-constant: {A: 1.78e+21, b: 0.0, Ea: 2.868} +- equation: X(1) + X(1) + CO2(4) <=> OCXOX(34) # Reaction 39 + sticking-coefficient: {A: 1.66, b: 0.0, Ea: 0.0} +- equation: OCXOX(34) <=> OX(17) + COX(19) # Reaction 40 + rate-constant: {A: 4.22e+12, b: 0.0, Ea: 31.864} +- equation: X(1) + CO2X(36) <=> OCXOX(34) # Reaction 41 + rate-constant: {A: 4.0e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + X(1) + C2H6(8) <=> CH3X(32) + CH3X(32) # Reaction 42 + sticking-coefficient: {A: 0.015, b: 0.0, Ea: 5.523} +- equation: X(1) + X(1) + CH3OH(10) <=> HOX(33) + CH3X(32) # Reaction 43 + sticking-coefficient: {A: 0.015, b: 0.0, Ea: 1.195} +- equation: X(1) + X(1) + CH3OH(10) <=> HX(16) + CH3OX(24) # Reaction 44 + sticking-coefficient: {A: 0.099, b: 0.0, Ea: 18.294} +- equation: X(1) + X(1) + C2H4(11) <=> CH2X(21) + CH2X(21) # Reaction 45 + sticking-coefficient: {A: 0.01, b: 0.0, Ea: 10.0} +- equation: X(1) + X(1) + CH3CHO(12) <=> HCOX(22) + CH3X(32) # Reaction 46 + sticking-coefficient: {A: 0.015, b: 0.0, Ea: 1.195} +- equation: X(1) + X(1) + C2H6O(14) <=> CH3X(32) + CH3OX(24) # Reaction 47 + sticking-coefficient: {A: 0.015, b: 0.0, Ea: 2.521} +- equation: X(1) + HCOHX(23) <=> HOX(33) + CHX(20) # Reaction 48 + rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} +- equation: X(1) + HCOHX(23) <=> HX(16) + HCOX(22) # Reaction 49 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.918} +- equation: X(1) + CH3OX(24) <=> HOX(33) + CH2X(21) # Reaction 50 + rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} +- equation: X(1) + CH3OX(24) <=> HX(16) + HCOHX(23) # Reaction 51 + rate-constant: {A: 7.42e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + CH3COOX(25) <=> HOCXO(35) + CH2X(21) # Reaction 52 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 36.535} +- equation: X(1) + CH3COOX(25) <=> HOX(33) + CH2COX(26) # Reaction 53 + rate-constant: {A: 1.53922e+21, b: 0.131, Ea: 18.349} +- equation: X(1) + CH2COX(26) <=> COX(19) + CH2X(21) # Reaction 54 + rate-constant: {A: 3.282e+20, b: 0.0, Ea: 57.651} +- equation: X(1) + CH3COOHX(28) <=> HOCXO(35) + CH3X(32) # Reaction 55 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 34.027} +- equation: X(1) + CH3COOHX(28) <=> HX(16) + CH3COOX(25) # Reaction 56 + rate-constant: {A: 2.11635e+13, b: 2.071, Ea: 32.311} +- equation: X(1) + C2H4X(29) <=> CH2X(21) + CH2X(21) # Reaction 57 + rate-constant: {A: 3.282e+20, b: 0.0, Ea: 57.651} +- equation: X(1) + COOHX(31) <=> OX(17) + HCOHX(23) # Reaction 58 + rate-constant: {A: 1.641e+20, b: 0.0, Ea: 57.651} +- equation: X(1) + COOHX(31) <=> HOX(33) + HCOX(22) # Reaction 59 + rate-constant: {A: 1.781e+21, b: 0.0, Ea: 37.589} +- equation: HX(16) + HOCXO(35) <=> X(1) + COOHX(31) # Reaction 60 + rate-constant: {A: 2.308e+22, b: 0.0, Ea: 16.834} +- equation: X(1) + X(1) + HOCXO(35) <=> HX(16) + OCXOX(34) # Reaction 61 + rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} +- equation: CH2X(21) + COOHX(31) <=> HX(16) + CH3COOX(25) # Reaction 62 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: OX(17) + HCOX(22) <=> HOX(33) + COX(19) # Reaction 63 + rate-constant: {A: 3.298e+21, b: 0.0, Ea: 0.0} +- equation: OX(17) + HCOHX(23) <=> HOX(33) + HCOX(22) # Reaction 64 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 0.0} +- equation: HOX(33) + HCOHX(23) <=> OX(17) + CH3OX(24) # Reaction 65 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: OX(17) + CH2COX2(27) <=> OCXOX(34) + CH2X(21) # Reaction 66 + rate-constant: {A: 3.298e+21, b: 0.0, Ea: 0.0} +- equation: OX(17) + CH3COOHX(28) <=> HOX(33) + CH3COOX(25) # Reaction 67 + rate-constant: {A: 4.215e+24, b: -0.101, Ea: 22.156} +- equation: OX(17) + COOHX(31) <=> HOX(33) + HOCXO(35) # Reaction 68 + rate-constant: {A: 1.405e+24, b: -0.101, Ea: 22.156} +- equation: CX(18) + CH2X(21) <=> CHX(20) + CHX(20) # Reaction 69 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 15.39} +- equation: CX(18) + HCOX(22) <=> COX(19) + CHX(20) # Reaction 70 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 8.664} +- equation: CX(18) + HCOHX(23) <=> CHX(20) + HCOX(22) # Reaction 71 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 5.749} +- equation: CX(18) + CH3OX(24) <=> CHX(20) + HCOHX(23) # Reaction 72 + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 8.913} +- equation: CX(18) + CH3COOHX(28) <=> CHX(20) + CH3COOX(25) # Reaction 73 + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: CX(18) + COOHX(31) <=> CHX(20) + HOCXO(35) # Reaction 74 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: CX(18) + CH3X(32) <=> CHX(20) + CH2X(21) # Reaction 75 + rate-constant: {A: 9.894e+21, b: 0.0, Ea: 0.0} +- equation: CHX(20) + HCOX(22) <=> COX(19) + CH2X(21) # Reaction 76 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 17.007} +- equation: CHX(20) + HOCXO(35) <=> COX(19) + HCOHX(23) # Reaction 77 + rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} +- equation: COX(19) + HCOHX(23) <=> HCOX(22) + HCOX(22) # Reaction 78 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 44.034} +- equation: HOCXO(35) + CH2X(21) <=> COX(19) + CH3OX(24) # Reaction 79 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: HCOX(22) + HCOHX(23) <=> COX(19) + CH3OX(24) # Reaction 80 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 14.571} +- equation: COX(19) + CH3COOX(25) <=> HOCXO(35) + CH2COX(26) # Reaction 81 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 61.626} +- equation: COX(19) + CH3COOHX(28) <=> HCOX(22) + CH3COOX(25) # Reaction 82 + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + CH2COX2(27) <=> COX(19) + C2H4X2(30) # Reaction 83 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 84 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 85 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: HCOX(22) + CH2X(21) <=> COX(19) + CH3X(32) # Reaction 86 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.376} +- equation: COX(19) + HOCXO(35) <=> CO2X(36) + HCOX(22) # Reaction 87 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 40.036} +- equation: CHX(20) + HCOHX(23) <=> HCOX(22) + CH2X(21) # Reaction 88 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 26.946} +- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 89 + duplicate: true + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 90 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 21.297} +- equation: CHX(20) + CH3COOHX(28) <=> CH2X(21) + CH3COOX(25) # Reaction 91 + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: CHX(20) + COOHX(31) <=> HCOX(22) + HCOHX(23) # Reaction 92 + rate-constant: {A: 2.360665e+21, b: -0.074, Ea: 28.318} +- equation: CHX(20) + COOHX(31) <=> HOCXO(35) + CH2X(21) # Reaction 93 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + CH2X(21) <=> CHX(20) + CH3X(32) # Reaction 94 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.102} +- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 95 + duplicate: true + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 96 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 21.297} +- equation: CH2X(21) + HCOHX(23) <=> HCOX(22) + CH3X(32) # Reaction 97 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 17.722} +- equation: CH2X(21) + CH3OX(24) <=> HCOHX(23) + CH3X(32) # Reaction 98 + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.269} +- equation: CH2X(21) + CH3COOX(25) <=> CH3OX(24) + CH2COX(26) # Reaction 99 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 54.408} +- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 100 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 101 + duplicate: true + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + COOHX(31) <=> HCOX(22) + CH3OX(24) # Reaction 102 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + COOHX(31) <=> HOCXO(35) + CH3X(32) # Reaction 103 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: HOCXO(35) + CH2X(21) <=> CO2X(36) + CH3X(32) # Reaction 104 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.724} +- equation: HCOHX(23) + HCOHX(23) <=> HCOX(22) + CH3OX(24) # Reaction 105 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 20.758} +- equation: HCOX(22) + CH3COOX(25) <=> COOHX(31) + CH2COX(26) # Reaction 106 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 31.276} +- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 107 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 108 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: HCOHX(23) + CH3COOHX(28) <=> CH3OX(24) + CH3COOX(25) # Reaction 109 + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: HCOHX(23) + COOHX(31) <=> HOCXO(35) + CH3OX(24) # Reaction 110 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: HOCXO(35) + HCOHX(23) <=> CO2X(36) + CH3OX(24) # Reaction 111 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 16.76} +- equation: HOCXO(35) + CH3COOHX(28) <=> COOHX(31) + CH3COOX(25) # Reaction 112 + rate-constant: {A: 1.254e+22, b: 0.0, Ea: 31.401} +- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 113 + duplicate: true + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 114 + duplicate: true + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: HOCXO(35) + CH3COOX(25) <=> CO2X(36) + CH3COOHX(28) # Reaction 115 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 15.298} +- equation: HOCXO(35) + HOCXO(35) <=> CO2X(36) + COOHX(31) # Reaction 116 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 15.658} +- equation: X(1) + HOX(33) + CH4(2) <=> H2OX(43) + CH3X(32) # Reaction 117 + sticking-coefficient: {A: 1.0, b: 0.0, Ea: 2.39} +- equation: X(1) + H2O(3) <=> H2OX(43) # Reaction 118 + sticking-coefficient: {A: 0.75, b: 0.0, Ea: 0.0} +- equation: X(1) + H2OX(43) <=> HX(16) + HOX(33) # Reaction 119 + rate-constant: {A: 1.15e+19, b: 0.0, Ea: 24.235} +- equation: OX(17) + H2OX(43) <=> HOX(33) + HOX(33) # Reaction 120 + rate-constant: {A: 1.0e+20, b: 0.0, Ea: 21.63} +- equation: H2OX(43) + COX(19) <=> HX(16) + HOCXO(35) # Reaction 121 + rate-constant: {A: 4.43e+19, b: 0.492, Ea: 23.7} +- equation: H2OX(43) + CO2X(36) <=> HOX(33) + HOCXO(35) # Reaction 122 + rate-constant: {A: 3.48e+19, b: -0.031, Ea: 21.853} +- equation: H2OX(43) + CH2X(21) <=> HOX(33) + CH3X(32) # Reaction 123 + rate-constant: {A: 3.3e+19, b: 0.099, Ea: 14.1} +- equation: H2OX(43) + CHX(20) <=> HOX(33) + CH2X(21) # Reaction 124 + rate-constant: {A: 7.29e+19, b: 0.269, Ea: 34.0} +- equation: H2OX(43) + CX(18) <=> HOX(33) + CHX(20) # Reaction 125 + rate-constant: {A: 4.19e+19, b: 0.09, Ea: 15.6} +- equation: H2OX(43) + CHX(20) <=> HX(16) + HCOHX(23) # Reaction 126 + rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} +- equation: H2OX(43) + CH2X(21) <=> HX(16) + CH3OX(24) # Reaction 127 + rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} +- equation: HOX(33) + HCOX(22) <=> H2OX(43) + COX(19) # Reaction 128 + rate-constant: {A: 3.261e+21, b: 0.0, Ea: 6.918} +- equation: H2OX(43) + HCOHX(23) <=> HOX(33) + CH3OX(24) # Reaction 129 + rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} +- equation: HOX(33) + CH3COOHX(28) <=> H2OX(43) + CH3COOX(25) # Reaction 130 + rate-constant: {A: 1.254e+22, b: 0.0, Ea: 26.173} +- equation: HOX(33) + COOHX(31) <=> H2OX(43) + HOCXO(35) # Reaction 131 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 25.676} +- equation: X(1) + CH4(2) <=> C.[Pt](84) # Reaction 132 + sticking-coefficient: {A: 8.0e-03, b: 0.0, Ea: 0.0} +- equation: X(1) + C.[Pt](84) <=> HX(16) + CH3X(32) # Reaction 133 + rate-constant: {A: 1.54e+21, b: 0.087, Ea: 13.337} +- equation: CX(18) + C.[Pt](84) <=> CHX(20) + CH3X(32) # Reaction 134 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: CHX(20) + C.[Pt](84) <=> CH2X(21) + CH3X(32) # Reaction 135 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: COX(19) + C.[Pt](84) <=> HCOX(22) + CH3X(32) # Reaction 136 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 38.269} +- equation: HCOHX(23) + C.[Pt](84) <=> CH3X(32) + CH3OX(24) # Reaction 137 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: CH3X(32) + CH3COOHX(28) <=> C.[Pt](84) + CH3COOX(25) # Reaction 138 + rate-constant: {A: 1.254e+22, b: 0.0, Ea: 19.264} +- equation: COOHX(31) + CH3X(32) <=> HOCXO(35) + C.[Pt](84) # Reaction 139 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 18.766} +- equation: CH2X(21) + C.[Pt](84) <=> CH3X(32) + CH3X(32) # Reaction 140 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: OX(17) + C.[Pt](84) <=> HOX(33) + CH3X(32) # Reaction 141 + rate-constant: {A: 5.62e+24, b: -0.101, Ea: 22.156} +- equation: HOCXO(35) + CH3X(32) <=> CO2X(36) + C.[Pt](84) # Reaction 142 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 6.877} +- equation: H2OX(43) + CH3X(32) <=> HOX(33) + C.[Pt](84) # Reaction 143 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 23.994} +- equation: CX(18) + CH3COOHX(28) <=> HOCXO(35) + CC#[Pt](307) # Reaction 144 + rate-constant: {A: 2.360665e+21, b: -0.074, Ea: 28.318} +- equation: X(1) + CC#[Pt](307) <=> CX(18) + CH3X(32) # Reaction 145 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 47.142} +- equation: CX(18) + C.[Pt](84) <=> HX(16) + CC#[Pt](307) # Reaction 146 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: C2H2X2(338) <=> CHX(20) + CHX(20) # Reaction 147 + rate-constant: {A: 7.93e+12, b: 0.0, Ea: 21.511} +- equation: X(1) + HCOX(22) <=> CHOX2(110) # Reaction 148 + rate-constant: {A: 1.0e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + X(1) + HCOHX(23) <=> HX(16) + CHOX2(110) # Reaction 149 + rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} +- equation: OX(17) + CHX(20) <=> CHOX2(110) # Reaction 150 + rate-constant: {A: 6.54e+21, b: 0.0, Ea: 33.939} +- equation: COX(19) + CHOX2(110) <=> OCXOX(34) + CHX(20) # Reaction 151 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: OX(17) + C2H2X2(338) <=> CHX(20) + CHOX2(110) # Reaction 152 + rate-constant: {A: 6.596e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + C#C.[Pt](513) <=> C2H2X2(338) # Reaction 153 + rate-constant: {A: 1.0e+21, b: 0.0, Ea: 0.0} +- equation: X(1) + X(1) + C2H4(11) <=> HX(16) + C2H3X(88) # Reaction 154 + sticking-coefficient: {A: 0.1, b: 0.0, Ea: 11.937} +- equation: X(1) + C2H4X(29) <=> HX(16) + C2H3X(88) # Reaction 155 + rate-constant: {A: 1.047906e+14, b: 1.601, Ea: 18.989} +- equation: OX(17) + C2H4X(29) <=> HOX(33) + C2H3X(88) # Reaction 156 + rate-constant: {A: 5.62e+24, b: -0.101, Ea: 22.156} +- equation: CX(18) + C2H4X(29) <=> CHX(20) + C2H3X(88) # Reaction 157 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: COX(19) + C2H4X(29) <=> HCOX(22) + C2H3X(88) # Reaction 158 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: X(1) + C2H3X(88) <=> CHX(20) + CH2X(21) # Reaction 159 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 34.808} +- equation: CHX(20) + C2H4X(29) <=> CH2X(21) + C2H3X(88) # Reaction 160 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + C2H4X(29) <=> CH3X(32) + C2H3X(88) # Reaction 161 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: HCOHX(23) + C2H4X(29) <=> CH3OX(24) + C2H3X(88) # Reaction 162 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: CH3COOX(25) + C2H4X(29) <=> C2H3X(88) + CH3COOHX(28) # Reaction 163 + rate-constant: {A: 1.672e+22, b: 0.0, Ea: 32.383} +- equation: CH3X(32) + C2H4X(29) <=> C.[Pt](84) + C2H3X(88) # Reaction 164 + rate-constant: {A: 1.672e+22, b: 0.0, Ea: 20.744} +- equation: HOX(33) + C2H4X(29) <=> H2OX(43) + C2H3X(88) # Reaction 165 + rate-constant: {A: 1.672e+22, b: 0.0, Ea: 27.653} +- equation: HOCXO(35) + C2H4X(29) <=> COOHX(31) + C2H3X(88) # Reaction 166 + rate-constant: {A: 1.672e+22, b: 0.0, Ea: 32.881} +- equation: HOCXO(35) + C2H3X(88) <=> CO2X(36) + C2H4X(29) # Reaction 167 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 14.227} +- equation: X(1) + X(1) + C2H3X(88) <=> HX(16) + C2H2X2(338) # Reaction 168 + rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} +- equation: C2H3X(88) + CH3COOX(25) <=> C#C.[Pt](513) + CH3COOHX(28) # Reaction 169 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 44.984} +- equation: C2H3X(88) + C2H3X(88) <=> C#C.[Pt](513) + C2H4X(29) # Reaction 170 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 43.914} +- equation: HOCXO(35) + C2H3X(88) <=> COOHX(31) + C#C.[Pt](513) # Reaction 171 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 45.345} +- equation: HOX(33) + C2H3X(88) <=> H2OX(43) + C#C.[Pt](513) # Reaction 172 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 41.563} +- equation: CH3X(32) + C2H3X(88) <=> C.[Pt](84) + C#C.[Pt](513) # Reaction 173 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 36.564} +- equation: X(1) + C2H4X2(30) <=> HX(16) + C2H3X2(120) # Reaction 174 + rate-constant: {A: 2.225e+21, b: 0.0, Ea: 14.101} +- equation: HOX(33) + C2H3X2(120) <=> OX(17) + C2H4X2(30) # Reaction 175 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: CX(18) + C2H4X2(30) <=> CHX(20) + C2H3X2(120) # Reaction 176 + rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 9.366} +- equation: HCOX(22) + C2H3X2(120) <=> COX(19) + C2H4X2(30) # Reaction 177 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.665} +- equation: C2H3X2(120) <=> CHX(20) + CH2X(21) # Reaction 178 + rate-constant: {A: 2.74e+13, b: 0.0, Ea: 33.461} +- equation: CHX(20) + CH2COX2(27) <=> COX(19) + C2H3X2(120) # Reaction 179 + rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} +- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 180 + duplicate: true + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 181 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.391} +- equation: CH2X(21) + C2H4X2(30) <=> CH3X(32) + C2H3X2(120) # Reaction 182 + rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 11.722} +- equation: HCOHX(23) + C2H3X2(120) <=> HCOX(22) + C2H4X2(30) # Reaction 183 + rate-constant: {A: 4.18e+21, b: 0.0, Ea: 18.455} +- equation: CH3OX(24) + C2H3X2(120) <=> HCOHX(23) + C2H4X2(30) # Reaction 184 + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.414} +- equation: C2H3X2(120) + CH3COOHX(28) <=> CH3COOX(25) + C2H4X2(30) # Reaction 185 + rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} +- equation: C.[Pt](84) + C2H3X2(120) <=> CH3X(32) + C2H4X2(30) # Reaction 186 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: H2OX(43) + C2H3X2(120) <=> HOX(33) + C2H4X2(30) # Reaction 187 + rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} +- equation: COOHX(31) + C2H3X2(120) <=> HOCXO(35) + C2H4X2(30) # Reaction 188 + rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} +- equation: X(1) + C2H3X2(120) <=> HX(16) + C2H2X2(338) # Reaction 189 + rate-constant: {A: 4.75e+21, b: 0.0, Ea: 17.208} +- equation: CX(18) + C2H3X2(120) <=> CHX(20) + C2H2X2(338) # Reaction 190 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 14.625} +- equation: CHX(20) + C2H3X2(120) <=> CH2X(21) + C2H2X2(338) # Reaction 191 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 35.822} +- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 192 + duplicate: true + rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} +- equation: COX(19) + C2H3X2(120) <=> HCOX(22) + C2H2X2(338) # Reaction 193 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 52.909} +- equation: HCOHX(23) + C2H2X2(338) <=> HCOX(22) + C2H3X2(120) # Reaction 194 + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 22.027} +- equation: HCOHX(23) + C2H3X2(120) <=> CH3OX(24) + C2H2X2(338) # Reaction 195 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 29.634} +- equation: C2H2X2(338) + CH3COOHX(28) <=> C2H3X2(120) + CH3COOX(25) # Reaction 196 + rate-constant: {A: 2.379818e+19, b: -0.048, Ea: 34.48} +- equation: C2H2X2(338) + C2H4X(29) <=> C2H3X(88) + C2H3X2(120) # Reaction 197 + rate-constant: {A: 3.173091e+19, b: -0.048, Ea: 34.48} +- equation: C2H3X2(120) + C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) # Reaction 198 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 27.331} +- equation: COOHX(31) + C2H2X2(338) <=> HOCXO(35) + C2H3X2(120) # Reaction 199 + rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} +- equation: CH2X(21) + C2H3X2(120) <=> CH3X(32) + C2H2X2(338) # Reaction 200 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 26.597} +- equation: OX(17) + C2H3X2(120) <=> HOX(33) + C2H2X2(338) # Reaction 201 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 33.697} +- equation: H2OX(43) + C2H2X2(338) <=> HOX(33) + C2H3X2(120) # Reaction 202 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: C.[Pt](84) + C2H2X2(338) <=> CH3X(32) + C2H3X2(120) # Reaction 203 + rate-constant: {A: 3.173091e+19, b: -0.048, Ea: 34.48} +- equation: CHOX2(110) + CH2X(21) <=> OX(17) + C2H3X2(120) # Reaction 204 + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: X(1) + C2H3X(88) <=> C2H3X2(120) # Reaction 205 + rate-constant: {A: 7.15e+20, b: 0.0, Ea: 0.717} +- equation: C2H3X2(120) + C2H4X(29) <=> C2H3X(88) + C2H4X2(30) # Reaction 206 + rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} +- equation: HOX(33) + C2H2X2(338) <=> OX(17) + C2H3X2(120) # Reaction 207 + duplicate: true + rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} +- equation: CX(18) + C2H3X2(120) <=> CHX(20) + C2H2X2(338) # Reaction 208 + duplicate: true + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 8.663} +- equation: HCOX(22) + C2H2X2(338) <=> COX(19) + C2H3X2(120) # Reaction 209 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 15.071} +- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 210 + duplicate: true + rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} +- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 211 + duplicate: true + rate-constant: {A: 1.672e+22, b: 0.0, Ea: 21.797} +- equation: CH2X(21) + C2H3X2(120) <=> CH3X(32) + C2H2X2(338) # Reaction 212 + duplicate: true + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.019} +- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 213 + duplicate: true + rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} +- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 214 + duplicate: true + rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.391} +- equation: CH3OX(24) + C2H2X2(338) <=> HCOHX(23) + C2H3X2(120) # Reaction 215 + duplicate: true + rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 12.117} +- equation: C2H3X2(120) + C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) # Reaction 216 + duplicate: true + rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.164} diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py new file mode 100644 index 00000000000..80d77e21bf6 --- /dev/null +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -0,0 +1,137 @@ +import os +import yaml +import pandas as pd +import re + +class YamlAnalyst: + def __init__(self, path_to_chemkin_yaml, chemkin_yaml_file): + self.path_to_chemkin_yaml = path_to_chemkin_yaml + self.chemkin_yaml_file = chemkin_yaml_file + + def get_absolute_path(self): + return os.path.join(os.getcwd(), self.path_to_chemkin_yaml, self.chemkin_yaml_file) + + def load_yaml_file(self): + with open(self.get_absolute_path(), 'r') as file: + return yaml.safe_load(file) + + def get_species(self): + return self.load_yaml_file()['species'] + + def get_species_count(self): + return len(self.get_species()) + + def get_species_names(self): + return [specie['name'] for specie in self.get_species()] + + def get_species_count_per_phase(self): + return {f"specie_count_{phase['name']}": len(phase['species']) for phase in self.load_yaml_file()['phases']} + + def get_reactions_dict(self): + reactions_dict = {} + for key, values in self.load_yaml_file().items(): + if key in [f"{phase['name']}-reactions" for phase in self.load_yaml_file()['phases']]: + reactions_dict[key] = self.load_yaml_file()[key] + elif key == 'gas_reactions': + reactions_dict['gas_reactions'] = self.load_yaml_file()['gas_reactions'] + elif key == 'surface_reactions': + reactions_dict['surface_reactions'] = self.load_yaml_file()['surface_reactions'] + return reactions_dict + + def create_reaction_df(self, reactions): + data = [] + for reaction in reactions: + row = {'equation': reaction['equation']} + if 'rate-constant' in reaction: + row.update(reaction['rate-constant']) + elif 'sticking-coefficient' in reaction: + row.update(reaction['sticking-coefficient']) + data.append(row) + return pd.DataFrame(data) + def get_reaction_df(self): + reaction_dfs = {key: self.create_reaction_df(value) for key, value in self.get_reactions_dict().items()} + return reaction_dfs + + def get_reaction_count(self): + return {key: len(value) for key, value in self.get_reactions_dict().items()} + +class CompareYaml: + ''' + Takes a dictionary with keys yaml1 and yaml2, and values a + list of the directory and file name of the yaml files. + + e.g. + + yaml_files = { + 'yaml1': [yaml1_file_directory, file1.yaml], + 'yaml2': [yaml2_file_directory, file2.yaml] + } + ''' + def __init__(self, yaml_files): + self.yaml1 = YamlAnalyst(yaml_files['yaml1'][0], yaml_files['yaml1'][1]) + self.yaml2 = YamlAnalyst(yaml_files['yaml2'][0], yaml_files['yaml2'][1]) + + def compare_species_count(self): + count1 = self.yaml1.get_species_count() + count2 = self.yaml2.get_species_count() + if count1 - count2 == 0: + return True + else: + return False + + def compare_species_names(self): + names1 = set(self.yaml1.get_species_names()) + names2 = set(self.yaml2.get_species_names()) + if set(names1) == set(names2): + return True + else: + return False + + def compare_species_count_per_phase(self): + count_per_phase1 = self.yaml1.get_species_count_per_phase() + count_per_phase2 = self.yaml2.get_species_count_per_phase() + phase_names1 = [phase['name'] for phase in self.yaml1.load_yaml_file()['phases']] + phase_names2 = [phase['name'] for phase in self.yaml2.load_yaml_file()['phases']] + all_phase_names = set(phase_names1).union(set(phase_names2)) + count_diff = {'gas': count_per_phase1[f"specie_count_{phase_names1[0]}"] - count_per_phase2[f"specie_count_{phase_names2[0]}"], + 'surface': count_per_phase1[f"specie_count_{phase_names1[1]}"] - count_per_phase2[f"specie_count_{phase_names2[1]}"] + } + if count_diff['gas'] == 0 and count_diff['surface'] == 0: + return True + else: + return False + + def normalize_equation(self, equation): + def process_side(side): + components = side.split(' + ') + normalized_components = [] + for component in components: + # Remove any prefix integers/coefficients + normalized_component = re.sub(r'^\d*\s*', '', component).strip() + normalized_components.append(normalized_component) + return ' + '.join(sorted(set(normalized_components))) + + reactants, products = equation.split('<=>') + normalized_reactants = process_side(reactants) + normalized_products = process_side(products) + return f"{normalized_reactants} <=> {normalized_products}" + + def compare_reactions(self): + reactions1 = self.yaml1.get_reaction_df() + reactions2 = self.yaml2.get_reaction_df() + comparison_results = {} + + for key1, df1 in reactions1.items(): + df1['normalized_equation'] = df1['equation'].apply(self.normalize_equation) + for key2, df2 in reactions2.items(): + df2['normalized_equation'] = df2['equation'].apply(self.normalize_equation) + merged_df = pd.merge(df1, df2, on='normalized_equation', suffixes=('_1', '_2'), how='inner') + if not merged_df.empty: + merged_df['A_diff'] = merged_df['A_1'].round(2) - merged_df['A_2'].round(2) + merged_df['b_diff'] = merged_df['b_1'].round(2) - merged_df['b_2'].round(2) + merged_df['Ea_diff'] = merged_df['Ea_1'].round(2) - merged_df['Ea_2'].round(2) + comparison_results[f'{key1}_{key2}'] = merged_df[['normalized_equation', 'A_diff', 'b_diff', 'Ea_diff']] + for key, df in comparison_results.items(): + if not (df['A_diff'].eq(0).all() and df['b_diff'].eq(0).all() and df['Ea_diff'].eq(0).all()): + return False + return True diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py new file mode 100644 index 00000000000..ef9970815d7 --- /dev/null +++ b/test/rmgpy/yaml_writer/test_yaml.py @@ -0,0 +1,23 @@ +from compare_yaml_outputs import * +import pytest + +@pytest.fixture +def compare_manager(): + '''Create instance of a Compare Yaml before each test''' + yaml_files = { + 'yaml1': ['RMG_yaml_writer_addition/RMG-Py/test/rmgpy/test_data/yaml_writer_data/chemkin/', 'chem0047-gas.yaml'], + 'yaml2': ['RMG_yaml_writer_addition/RMG-Py/test/rmgpy/test_data/yaml_writer_data/cantera/', 'chem47.yaml'] + } + return CompareYaml(yaml_files) + +def test_compare_number_of_species(compare_manager): + assert compare_manager.compare_species_count() == True + +def test_compare_species_names(compare_manager): + assert compare_manager.compare_species_names() == True + +def test_compare_species_count_per_phase(compare_manager): + assert compare_manager.compare_species_count_per_phase() == True + +def test_compare_reactions(compare_manager): + assert compare_manager.compare_reactions() == True \ No newline at end of file From d14c6e2da7e035f17d50e73d3f9f89c882eaec5b Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 Mar 2024 13:42:30 -0400 Subject: [PATCH 407/700] Simplify species_to_dict for writing cantera yaml. Didn't need all those arguments. --- rmgpy/yaml_cantera.py | 52 +++++++++++++++++++++++-------------------- 1 file changed, 28 insertions(+), 24 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index 96a39c52be1..f6d32e80a41 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -230,7 +230,7 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x, spcs, names=names) for x in spcs] + result_dict["species"] = [species_to_dict(x) for x in spcs] # separate gas and surface reactions @@ -258,7 +258,7 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x, spcs, names=names) for x in spcs] + result_dict["species"] = [species_to_dict(x) for x in spcs] reactions = [] for rmg_rxn in rxns: @@ -299,32 +299,36 @@ def reaction_to_dicts(obj, spcs): return reaction_list -def species_to_dict(obj, spc, names=None, label="solvent"): +def species_to_dict(species): """ - Takes an RMG species object (obj), returns a list of dictionaries + Takes an RMG species object, returns a list of dictionaries for YAML properties. Also adds in the number of surface sites ('sites') to dictionary. """ - - result_dict = dict() - - if isinstance(obj, Species): - s = obj.to_cantera(use_chemkin_identifier=True) - species_data = s.input_data - try: - result_dict["note"] = obj.transport_data.comment - except: - pass - if "size" in species_data: - sites = species_data["size"] - species_data.pop("size", None) - species_data["sites"] = sites - species_data.update(result_dict) - return ( - species_data # returns composition, name, thermo, and transport, and note - ) - else: - raise Exception("Species object must be an RMG Species object") + if not isinstance(species, Species): + raise TypeError("species object must be an RMG Species") + + cantera_species = species.to_cantera(use_chemkin_identifier=True) + species_data = cantera_species.input_data + + # if species.transport_data.comment exists, add it to species_data["note"] + try: + transport_comment = species.transport_data.comment + if transport_comment: + if "note" in species_data: + species_data["note"] += f" Transport data: {transport_comment}" + else: + species_data["note"] = f"Transport data: {transport_comment}" + except AttributeError: + pass + + if "size" in species_data: + sites = species_data["size"] + species_data.pop("size", None) + species_data["sites"] = sites + + # returns composition, name, thermo, and transport, and note + return species_data class CanteraWriter(object): From 676ff56273f64a352b10230bff8ca03d0ac7ecbe Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 5 Feb 2026 16:37:45 -0500 Subject: [PATCH 408/700] Rename generate_cantera_files to generate_cantera_files_from_chemkin --- rmgpy/rmg/main.py | 10 +++++----- scripts/rmg2to3.py | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index cb241cf11e4..0bbd1740cc3 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1237,11 +1237,11 @@ def execute(self, initialize=True, **kwargs): try: if any([s.contains_surface_site() for s in self.reaction_model.core.species]): # Surface (catalytic) chemistry - self.generate_cantera_files( + self.generate_cantera_files_from_chemkin( os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), ) - self.generate_cantera_files( + self.generate_cantera_files_from_chemkin( os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), ) @@ -1274,8 +1274,8 @@ def execute(self, initialize=True, **kwargs): _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) else: # gas phase only - self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem.inp")) - self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")) + self.generate_cantera_files_from_chemkin(os.path.join(self.output_directory, "chemkin", "chem.inp")) + self.generate_cantera_files_from_chemkin(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")) except EnvironmentError: logging.exception("Could not generate Cantera files due to EnvironmentError. Check read\\write privileges in output directory.") except Exception: @@ -1846,7 +1846,7 @@ def process_reactions_to_species(self, obj): raise TypeError("improper call, obj input was incorrect") return potential_spcs - def generate_cantera_files(self, chemkin_file, **kwargs): + def generate_cantera_files_from_chemkin(self, chemkin_file, **kwargs): """ Convert a chemkin mechanism chem.inp file to a cantera mechanism file chem.yaml and save it in the cantera directory diff --git a/scripts/rmg2to3.py b/scripts/rmg2to3.py index 211dbfdfac7..99517351a09 100644 --- a/scripts/rmg2to3.py +++ b/scripts/rmg2to3.py @@ -1062,7 +1062,7 @@ 'processToSpeciesNetworks': 'process_to_species_networks', 'processPdepNetworks': 'process_pdep_networks', 'processReactionsToSpecies': 'process_reactions_to_species', - 'generateCanteraFiles': 'generate_cantera_files', + 'generateCanteraFiles': 'generate_cantera_files_from_chemkin', 'initializeReactionThresholdAndReactFlags': 'initialize_reaction_threshold_and_react_flags', 'updateReactionThresholdAndReactFlags': 'update_reaction_threshold_and_react_flags', 'saveEverything': 'save_everything', From c30e3945f9c490dbb0014d28d749ce4303814e72 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 15:17:26 -0500 Subject: [PATCH 409/700] Add (or restore?) a TestCanteraOutputConversion test During a rebase, this seemed to be part of a commit that is called "Rename generate_cantera-files to generate_cantera_files_from_chemkin" but this does more than that, so I'm splitting it into its own commit. It could be part of a weird merge conflict resolution. --- test/rmgpy/rmg/mainTest.py | 169 +++++++++++++++++++++++++++++++++++++ 1 file changed, 169 insertions(+) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index fdca40c6808..893e778240b 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -360,3 +360,172 @@ def teardown_class(cls): os.remove(os.path.join(cls.test_dir, "RMG.profile.dot")) os.remove(os.path.join(cls.test_dir, "RMG.profile.dot.ps2")) + +class TestCanteraOutputConversion: + """ + Tests if we can convert Chemkin files to Cantera files without crashing. + (Or raising an exception for bad files.) + """ + def setup_class(self): + self.chemkin_files = { + """ELEMENTS + H + D /2.014/ + T /3.016/ + C + CI /13.003/ + O + OI /18.000/ + N + +END + +SPECIES + ethane(1) + CH3(4) +END + +THERM ALL + 300.000 1000.000 5000.000 + +ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 + 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 +-1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 +-6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 + +CH3(4) H 3 C 1 G100.000 5000.000 1337.62 1 + 3.54144859E+00 4.76788187E-03-1.82149144E-06 3.28878182E-10-2.22546856E-14 2 + 1.62239622E+04 1.66040083E+00 3.91546822E+00 1.84153688E-03 3.48743616E-06 3 +-3.32749553E-09 8.49963443E-13 1.62856393E+04 3.51739246E-01 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 + +END +""": True, + """ELEMENTS + CI /13.003/ + O + OI /18.000/ + N + +END + +SPECIES + ethane(1) + CH3(4) +END + +THERM ALL + 300.000 1000.000 5000.000 + +ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 + 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 +-1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 +-6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 + +CH3(4) H 3 C 1 G100.000 5000.000 1337.62 1 + 3.54144859E+00 4.76788187E-03-1.82149144E-06 3.28878182E-10-2.22546856E-14 2 + 1.62239622E+04 1.66040083E+00 3.91546822E+00 1.84153688E-03 3.48743616E-06 3 +-3.32749553E-09 8.49963443E-13 1.62856393E+04 3.51739246E-01 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 + +END +""": False, + """ELEMENTS + H + D /2.014/ + T /3.016/ + C + CI /13.003/ + O + OI /18.000/ + N + +END + +SPECIES + ethane(1) + CH3(4) +END + +THERM ALL + 300.000 1000.000 5000.000 + +ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 + 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 +-1.27217823E+04-3.61762003E+00 3.78032308E+00-3.24248354E-03 5.52375224E-05 3 +-6.38573917E-08 2.28633835E-11-1.16203404E+04 5.21037799E+00 4 + +END + +REACTIONS KCAL/MOLE MOLES + +CH3(4)+CH3(4)=ethane(1) 8.260e+17 -1.400 1.000 + +END +""": False, + } + self.rmg = RMG() + self.dir_name = "temp_dir_for_testing" + self.rmg.output_directory = os.path.join(originalPath, "..", "test", "rmgpy", "test_data", self.dir_name) + + self.tran_dat = """ +! Species Shape LJ-depth LJ-diam DiplMom Polzblty RotRelaxNum Data +! Name Index epsilon/k_B sigma mu alpha Zrot Source +ethane(1) 2 252.301 4.302 0.000 0.000 1.500 ! GRI-Mech +CH3(4) 2 144.001 3.800 0.000 0.000 0.000 ! GRI-Mech + """ + + def teardown_class(self): + os.chdir(originalPath) + # try to remove the tree. If testChemkinToCanteraConversion properly + # ran, the files should already be removed. + try: + shutil.rmtree(self.dir_name) + except OSError: + pass + # go back to the main RMG-Py directory + os.chdir("..") + + def test_chemkin_to_cantera_conversion(self): + """ + Tests that good and bad chemkin files raise proper exceptions + """ + + from cantera.ck2yaml import InputError + + for ck_input, works in self.chemkin_files.items(): + os.chdir(originalPath) + os.mkdir(self.dir_name) + os.chdir(self.dir_name) + + f = open("chem001.inp", "w") + f.write(ck_input) + f.close() + + f = open("tran.dat", "w") + f.write(self.tran_dat) + f.close() + + if works: + self.rmg.generate_cantera_files_from_chemkin(os.path.join(os.getcwd(), "chem001.inp")) + else: + with pytest.raises(InputError): + self.rmg.generate_cantera_files_from_chemkin(os.path.join(os.getcwd(), "chem001.inp")) + + # clean up + os.chdir(originalPath) + shutil.rmtree(self.dir_name) From 8f6a48b7b8eafb9352106acd897284f2a2a0f765 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 5 Feb 2026 22:47:09 -0500 Subject: [PATCH 410/700] Functional test comparing Cantera YAML outputs to Chemkin-converted YAML Made test_cantera_input_files_match_chemkin that uses CompareYaml to verify RMG-generated Cantera YAML files match those converted from Chemkin format. Changes to compare_yaml_outputs.py: - Update get_absolute_path() to handle absolute paths correctly - Add support for plain 'reactions' key used by gas-only mechanisms - Reduce redundant load_yaml_file() calls in get_reactions_dict() The test compares chem{N}.yaml (from CanteraWriter) with chem.yaml (from ck2yaml conversion), checking species counts, names, and reactions. --- test/rmgpy/rmg/mainTest.py | 68 ++++++++++++++++++- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 26 ++++--- 2 files changed, 84 insertions(+), 10 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 893e778240b..f978a8f5ae2 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -55,7 +55,10 @@ def setup_class(cls): cls.seedKinetics = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed") cls.seedKineticsEdge = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed_edge") - os.makedirs(os.path.join(cls.testDir, cls.outputDir), exist_ok=True) + output_path = os.path.join(cls.testDir, cls.outputDir) + if os.path.exists(output_path): + shutil.rmtree(output_path) + os.mkdir(output_path) cls.rmg = RMG( input_file=os.path.join(cls.testDir, "input.py"), @@ -186,6 +189,69 @@ def test_make_cantera_input_file(self): ct.Solution(os.path.join(outName, f)) except: assert False, "The output Cantera file is not loadable in Cantera." + + def test_cantera_input_files_match_chemkin(self): + """ + Test that the Cantera YAML files generated directly by RMG match + those converted from Chemkin files. + """ + import sys + # Add the yaml_writer test directory to path for importing CompareYaml + yaml_writer_test_dir = os.path.join( + originalPath, "..", "test", "rmgpy", "yaml_writer" + ) + sys.path.insert(0, yaml_writer_test_dir) + from compare_yaml_outputs import CompareYaml + sys.path.pop(0) + + # Find the RMG-generated cantera yaml file (named chem{N}.yaml) + cantera_dir = os.path.join(self.rmg.output_directory, "cantera") + cantera_from_ck_dir = os.path.join( + self.rmg.output_directory, "cantera_from_ck" + ) + + # Get the yaml files generated directly by RMG + cantera_files = [ + f for f in os.listdir(cantera_dir) if f.endswith('.yaml') + ] + assert len(cantera_files) > 0, \ + "No Cantera YAML files found in cantera directory" + # Sort by the number in the filename to get the final mechanism + cantera_files.sort( + key=lambda x: int(''.join(filter(str.isdigit, x)) or 0), + reverse=True + ) + rmg_yaml_file = cantera_files[0] + + # Get the yaml file converted from chemkin + ck_yaml_file = "chem.yaml" + assert os.path.exists(os.path.join(cantera_from_ck_dir, ck_yaml_file)),\ + f"Chemkin-converted YAML file {ck_yaml_file} not found" + + # Compare the two yaml files + yaml_files = { + 'yaml1': [cantera_dir, rmg_yaml_file], + 'yaml2': [cantera_from_ck_dir, ck_yaml_file] + } + compare = CompareYaml(yaml_files) + + # Check species count matches + assert compare.compare_species_count(), ( + f"Species count mismatch between RMG yaml ({rmg_yaml_file}) " + f"and chemkin yaml ({ck_yaml_file})" + ) + + # Check species names match + assert compare.compare_species_names(), ( + f"Species names mismatch between RMG yaml ({rmg_yaml_file}) " + f"and chemkin yaml ({ck_yaml_file})" + ) + + # Check reactions match + assert compare.compare_reactions(), ( + f"Reactions mismatch between RMG yaml ({rmg_yaml_file}) " + f"and chemkin yaml ({ck_yaml_file})" + ) @pytest.mark.functional diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 80d77e21bf6..36e214f53c3 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -4,12 +4,16 @@ import re class YamlAnalyst: - def __init__(self, path_to_chemkin_yaml, chemkin_yaml_file): - self.path_to_chemkin_yaml = path_to_chemkin_yaml - self.chemkin_yaml_file = chemkin_yaml_file + def __init__(self, path_to_yaml, yaml_file): + self.path_to_yaml = path_to_yaml + self.yaml_file = yaml_file def get_absolute_path(self): - return os.path.join(os.getcwd(), self.path_to_chemkin_yaml, self.chemkin_yaml_file) + path = os.path.join(self.path_to_yaml, self.yaml_file) + # If path is already absolute, use it; otherwise join with cwd + if os.path.isabs(path): + return path + return os.path.join(os.getcwd(), path) def load_yaml_file(self): with open(self.get_absolute_path(), 'r') as file: @@ -29,13 +33,17 @@ def get_species_count_per_phase(self): def get_reactions_dict(self): reactions_dict = {} - for key, values in self.load_yaml_file().items(): - if key in [f"{phase['name']}-reactions" for phase in self.load_yaml_file()['phases']]: - reactions_dict[key] = self.load_yaml_file()[key] + data = self.load_yaml_file() + for key, values in data.items(): + if key in [f"{phase['name']}-reactions" for phase in data['phases']]: + reactions_dict[key] = data[key] elif key == 'gas_reactions': - reactions_dict['gas_reactions'] = self.load_yaml_file()['gas_reactions'] + reactions_dict['gas_reactions'] = data['gas_reactions'] elif key == 'surface_reactions': - reactions_dict['surface_reactions'] = self.load_yaml_file()['surface_reactions'] + reactions_dict['surface_reactions'] = data['surface_reactions'] + elif key == 'reactions': + # Gas-only mechanisms use plain 'reactions' key + reactions_dict['reactions'] = data['reactions'] return reactions_dict def create_reaction_df(self, reactions): From 5fb4569838c5a1927c0a03f23d76956ab4df27ee Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 5 Feb 2026 23:29:36 -0500 Subject: [PATCH 411/700] YAML: Reaction comparison can do irreversible reactions Previously was failing functional test. --- test/rmgpy/yaml_writer/compare_yaml_outputs.py | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 36e214f53c3..5a28536f69a 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -119,10 +119,19 @@ def process_side(side): normalized_components.append(normalized_component) return ' + '.join(sorted(set(normalized_components))) - reactants, products = equation.split('<=>') + # Handle both reversible (<=>) and irreversible (=>) reactions + if '<=>' in equation: + reactants, products = equation.split('<=>') + separator = '<=>' + elif '=>' in equation: + reactants, products = equation.split('=>') + separator = '=>' + else: + raise ValueError(f"Unknown reaction format: {equation}") + normalized_reactants = process_side(reactants) normalized_products = process_side(products) - return f"{normalized_reactants} <=> {normalized_products}" + return f"{normalized_reactants} {separator} {normalized_products}" def compare_reactions(self): reactions1 = self.yaml1.get_reaction_df() From f9c0d47938bf0c76fe7747da3b675dec664c3890 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 5 Feb 2026 23:46:29 -0500 Subject: [PATCH 412/700] Enhance reaction comparison by adding checks for reaction counts and conditional comparison of Arrhenius parameters --- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 31 ++++++++++++++++--- 1 file changed, 26 insertions(+), 5 deletions(-) diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 5a28536f69a..616c4f3451a 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -138,17 +138,38 @@ def compare_reactions(self): reactions2 = self.yaml2.get_reaction_df() comparison_results = {} + # Check if reaction counts match + count1 = sum(len(df) for df in reactions1.values()) + count2 = sum(len(df) for df in reactions2.values()) + if count1 != count2: + return False + for key1, df1 in reactions1.items(): + df1 = df1.copy() df1['normalized_equation'] = df1['equation'].apply(self.normalize_equation) for key2, df2 in reactions2.items(): + df2 = df2.copy() df2['normalized_equation'] = df2['equation'].apply(self.normalize_equation) merged_df = pd.merge(df1, df2, on='normalized_equation', suffixes=('_1', '_2'), how='inner') if not merged_df.empty: - merged_df['A_diff'] = merged_df['A_1'].round(2) - merged_df['A_2'].round(2) - merged_df['b_diff'] = merged_df['b_1'].round(2) - merged_df['b_2'].round(2) - merged_df['Ea_diff'] = merged_df['Ea_1'].round(2) - merged_df['Ea_2'].round(2) - comparison_results[f'{key1}_{key2}'] = merged_df[['normalized_equation', 'A_diff', 'b_diff', 'Ea_diff']] + # Only compare A, b, Ea if they exist in both dataframes + has_arrhenius = all( + col in merged_df.columns + for col in ['A_1', 'A_2', 'b_1', 'b_2', 'Ea_1', 'Ea_2'] + ) + if has_arrhenius: + merged_df['A_diff'] = merged_df['A_1'].round(2) - merged_df['A_2'].round(2) + merged_df['b_diff'] = merged_df['b_1'].round(2) - merged_df['b_2'].round(2) + merged_df['Ea_diff'] = merged_df['Ea_1'].round(2) - merged_df['Ea_2'].round(2) + comparison_results[f'{key1}_{key2}'] = merged_df[['normalized_equation', 'A_diff', 'b_diff', 'Ea_diff']] + + if not comparison_results: + return False + for key, df in comparison_results.items(): - if not (df['A_diff'].eq(0).all() and df['b_diff'].eq(0).all() and df['Ea_diff'].eq(0).all()): + a_match = df['A_diff'].eq(0).all() + b_match = df['b_diff'].eq(0).all() + ea_match = df['Ea_diff'].eq(0).all() + if not (a_match and b_match and ea_match): return False return True From a05dc08e38403f8d17120f0d5277a313db1a8ec5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 6 Feb 2026 15:38:03 -0500 Subject: [PATCH 413/700] Simplify CompareYaml and YamlAnalyst arguments Don't need dictionaries of parameters, or folders and files separated. --- test/rmgpy/rmg/mainTest.py | 8 ++--- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 30 ++++++++----------- test/rmgpy/yaml_writer/test_yaml.py | 9 +++--- 3 files changed, 19 insertions(+), 28 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index f978a8f5ae2..8cf695978e5 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -229,11 +229,9 @@ def test_cantera_input_files_match_chemkin(self): f"Chemkin-converted YAML file {ck_yaml_file} not found" # Compare the two yaml files - yaml_files = { - 'yaml1': [cantera_dir, rmg_yaml_file], - 'yaml2': [cantera_from_ck_dir, ck_yaml_file] - } - compare = CompareYaml(yaml_files) + yaml_path_1 = os.path.join(cantera_dir, rmg_yaml_file) + yaml_path_2 = os.path.join(cantera_from_ck_dir, ck_yaml_file) + compare = CompareYaml(yaml_path_1, yaml_path_2) # Check species count matches assert compare.compare_species_count(), ( diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 616c4f3451a..5cf6594a5d7 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -4,16 +4,14 @@ import re class YamlAnalyst: - def __init__(self, path_to_yaml, yaml_file): - self.path_to_yaml = path_to_yaml - self.yaml_file = yaml_file + def __init__(self, path_to_yaml_file): + self.path_to_yaml_file = path_to_yaml_file def get_absolute_path(self): - path = os.path.join(self.path_to_yaml, self.yaml_file) # If path is already absolute, use it; otherwise join with cwd - if os.path.isabs(path): - return path - return os.path.join(os.getcwd(), path) + if os.path.isabs(self.path_to_yaml_file): + return self.path_to_yaml_file + return os.path.join(os.getcwd(), self.path_to_yaml_file) def load_yaml_file(self): with open(self.get_absolute_path(), 'r') as file: @@ -65,19 +63,15 @@ def get_reaction_count(self): class CompareYaml: ''' - Takes a dictionary with keys yaml1 and yaml2, and values a - list of the directory and file name of the yaml files. + Compare two YAML files. - e.g. - - yaml_files = { - 'yaml1': [yaml1_file_directory, file1.yaml], - 'yaml2': [yaml2_file_directory, file2.yaml] - } + Args: + yaml_path_1: Path to the first YAML file. + yaml_path_2: Path to the second YAML file. ''' - def __init__(self, yaml_files): - self.yaml1 = YamlAnalyst(yaml_files['yaml1'][0], yaml_files['yaml1'][1]) - self.yaml2 = YamlAnalyst(yaml_files['yaml2'][0], yaml_files['yaml2'][1]) + def __init__(self, yaml_path_1, yaml_path_2): + self.yaml1 = YamlAnalyst(yaml_path_1) + self.yaml2 = YamlAnalyst(yaml_path_2) def compare_species_count(self): count1 = self.yaml1.get_species_count() diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py index ef9970815d7..9956ff59e5c 100644 --- a/test/rmgpy/yaml_writer/test_yaml.py +++ b/test/rmgpy/yaml_writer/test_yaml.py @@ -1,14 +1,13 @@ from compare_yaml_outputs import * +import os import pytest @pytest.fixture def compare_manager(): '''Create instance of a Compare Yaml before each test''' - yaml_files = { - 'yaml1': ['RMG_yaml_writer_addition/RMG-Py/test/rmgpy/test_data/yaml_writer_data/chemkin/', 'chem0047-gas.yaml'], - 'yaml2': ['RMG_yaml_writer_addition/RMG-Py/test/rmgpy/test_data/yaml_writer_data/cantera/', 'chem47.yaml'] - } - return CompareYaml(yaml_files) + yaml_path_1 = os.path.join('test/rmgpy/test_data/yaml_writer_data/chemkin/', 'chem0047-gas.yaml') + yaml_path_2 = os.path.join('test/rmgpy/test_data/yaml_writer_data/cantera/', 'chem47.yaml') + return CompareYaml(yaml_path_1, yaml_path_2) def test_compare_number_of_species(compare_manager): assert compare_manager.compare_species_count() == True From 21bf695a264de292e5b26cad547bc4cb2ae8206f Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 15:33:07 -0500 Subject: [PATCH 414/700] Move test_make_cantera_input_file into ..._from_ck and make a ..._directly These tests that the files at least load in Cantera --- test/rmgpy/rmg/mainTest.py | 25 ++++++++++++++++++++----- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 8cf695978e5..24a0d189938 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -175,21 +175,36 @@ def test_rmg_memory(self): Rmem.generate_cond() Rmem.get_cond() - def test_make_cantera_input_file(self): + def test_make_cantera_input_file_from_ck(self): """ - This test ensures that a usable Cantera input file is created. + This test ensures that a usable Cantera input file is created via the Chemkin to Cantera conversion. """ import cantera as ct - outName = os.path.join(self.rmg.output_directory, "cantera") - files = os.listdir(outName) + cantera_files = os.path.join(self.rmg.output_directory, "cantera_from_ck") + files = os.listdir(cantera_files) for f in files: if ".yaml" in f: try: - ct.Solution(os.path.join(outName, f)) + ct.Solution(os.path.join(cantera_files, f)) except: assert False, "The output Cantera file is not loadable in Cantera." + def test_make_cantera_input_file_directly(self): + """ + This tests to ensure that a usable Cantera input file is created via direct yaml writer. + """ + import cantera as ct + + cantera_files = os.path.join(self.rmg.output_directory, "cantera") + files = os.listdir(cantera_files) + for f in files: + if ".yaml" in f: + try: + ct.Solution(os.path.join(cantera_files, f)) + except: + assert False, "The output Cantera file is not loadable in Cantera." + def test_cantera_input_files_match_chemkin(self): """ Test that the Cantera YAML files generated directly by RMG match From d9da484a5abebb9188e126d341b15ccac6c4ba88 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 6 Feb 2026 16:39:25 -0500 Subject: [PATCH 415/700] Tweak test_yaml --- test/rmgpy/yaml_writer/test_yaml.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py index 9956ff59e5c..efc099c9a7c 100644 --- a/test/rmgpy/yaml_writer/test_yaml.py +++ b/test/rmgpy/yaml_writer/test_yaml.py @@ -2,11 +2,12 @@ import os import pytest -@pytest.fixture +@pytest.fixture(scope="module") def compare_manager(): '''Create instance of a Compare Yaml before each test''' - yaml_path_1 = os.path.join('test/rmgpy/test_data/yaml_writer_data/chemkin/', 'chem0047-gas.yaml') - yaml_path_2 = os.path.join('test/rmgpy/test_data/yaml_writer_data/cantera/', 'chem47.yaml') + test_data_folder='test/rmgpy/test_data/yaml_writer_data/chemkin/' + yaml_path_1 = os.path.join(test_data_folder, 'chem0047-gas.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'chem47.yaml') return CompareYaml(yaml_path_1, yaml_path_2) def test_compare_number_of_species(compare_manager): From 2b032e998f3e0c4aeb18693a0d53483204c744de Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 6 Feb 2026 17:01:55 -0500 Subject: [PATCH 416/700] Update test_yaml.py to use new YAML test files for comparison - Modified the paths for the YAML files used in the CompareYaml fixture. - Updated to use 'chem37.yaml' files generated in recent functional tests instead of the previous 'chem0047-gas.yaml' and 'chem47.yaml'. These don't yet work --- .../yaml_writer_data/cantera/chem37.yaml | 2749 +++++++++++++++++ .../yaml_writer_data/chemkin/chem37.yaml | 1217 ++++++++ .../chemkin/chem37_annotated.yaml | 2148 +++++++++++++ test/rmgpy/yaml_writer/test_yaml.py | 11 +- 4 files changed, 6122 insertions(+), 3 deletions(-) create mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml create mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml create mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml new file mode 100644 index 00000000000..8a809d8c72e --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml @@ -0,0 +1,2749 @@ +generator: RMG +date: Fri, 06 Feb 2026 13:36:08 + +units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} + + +phases: +- name: gas + thermo: ideal-gas + elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: D + atomic-weight: 2.014102 +- symbol: T + atomic-weight: 3.016049 +- symbol: CI + atomic-weight: 13.003354 +- symbol: OI + atomic-weight: 17.999159 +- symbol: X + atomic-weight: 195.083 + +species: +- name: ethane(1) + composition: + C: 2.0 + H: 6.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 954.5144031334647 + - 5000.0 + data: + - - 3.7803346224806567 + - -0.0032426248016814156 + - 5.5238039667703986e-05 + - -6.38580941600652e-08 + - 2.2863696561761182e-11 + - -11620.34087553736 + - 5.21033694605818 + - - 4.589833066591745 + - 0.014150771489133034 + - -4.759620028277478e-06 + - 8.602939168659721e-10 + - -6.217163483041157e-14 + - -12721.766252833615 + - -3.617401162808474 + transport: + model: gas + geometry: nonlinear + diameter: 4.3020000000000005 + well-depth: 252.30104810022812 + rotational-relaxation: 1.5 + note: 'Transport data: GRI-Mech' +- name: O(2) + composition: + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 4879.79935843716 + - 5000.0 + data: + - - 2.500000000525325 + - -3.0168053118223457e-12 + - 3.745821408661492e-15 + - -1.50856878452712e-18 + - 1.8662647138106804e-22 + - 29230.244128498045 + - 5.126164270441565 + - - 4.284610711633441 + - -0.001454946491116745 + - 4.448043060261492e-07 + - -6.043596423527559e-11 + - 3.0792155132960395e-15 + - 27479.11867419105 + - -6.321993547101339 + transport: + model: gas + geometry: atom + diameter: 2.7500000000000004 + well-depth: 80.00026940977129 + note: 'Transport data: GRI-Mech' +- name: H2(3) + composition: + H: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1959.0698277085164 + - 5000.0 + data: + - - 3.4353639329701426 + - 0.00021271195316551332 + - -2.7862867098587985e-07 + - 3.4027001259222403e-10 + - -7.760390451747151e-14 + - -1031.359829839998 + - -3.908416612979825 + - - 2.7881850902828478 + - 0.0005876159208336712 + - 1.590221304411447e-07 + - -5.5276253610419804e-11 + - 4.3432812009578456e-15 + - -596.1556324770212 + - 0.11261849412712331 + transport: + model: gas + geometry: linear + diameter: 2.9200000000000004 + well-depth: 38.00012796964137 + polarizability: 0.7900000000000005 + rotational-relaxation: 280.0 + note: 'Transport data: GRI-Mech' +- name: H(4) + composition: + H: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 4879.79935843716 + - 5000.0 + data: + - - 2.500000000525325 + - -3.0168053118223457e-12 + - 3.745821408661492e-15 + - -1.50856878452712e-18 + - 1.8662647138106804e-22 + - 25474.21776867628 + - -0.44497289858131656 + - - 4.284610711633441 + - -0.001454946491116745 + - 4.448043060261492e-07 + - -6.043596423527559e-11 + - 3.0792155132960395e-15 + - 23723.092314369285 + - -11.893130716124219 + transport: + model: gas + geometry: atom + diameter: 2.0500000000000003 + well-depth: 145.00018762466215 + note: 'Transport data: GRI-Mech' +- name: OH(5) + composition: + H: 1.0 + O: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 1145.755403079624 + - 5000.0 + data: + - - 3.5145683934001286 + - 2.9273429188357182e-05 + - -5.321505975500024e-07 + - 1.0194752070317098e-09 + - -3.859394051948587e-13 + - 3414.2541816360504 + - 2.104347562369628 + - - 3.0719372419934894 + - 0.0006040198392479647 + - -1.398059297509044e-08 + - -2.13440813121432e-11 + - 2.480613665472284e-15 + - 3579.3879210270147 + - 4.578014689142749 + transport: + model: gas + geometry: linear + diameter: 2.7500000000000004 + well-depth: 80.00026940977129 + note: 'Transport data: GRI-Mech' +- name: HO2(6) + composition: + H: 1.0 + O: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 100.0 + - 932.1532512001958 + - 5000.0 + data: + - - 4.045944875829953 + - -0.0017346477878945202 + - 1.0376651826495081e-05 + - -1.0220252214615669e-08 + - 3.3490858128922264e-12 + - -986.7542445427946 + - 4.635812941726547 + - - 3.2102385692345945 + - 0.0036794199100510217 + - -1.2770157188058695e-06 + - 2.1804525899094575e-10 + - -1.46337934635495e-14 + - -910.3684968001094 + - 8.182918800803932 + transport: + model: gas + geometry: nonlinear + diameter: 3.4580000000000015 + well-depth: 107.40032560095216 + rotational-relaxation: 1.0 + note: 'Transport data: GRI-Mech' +- name: O2(7) + composition: + O: 2.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 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200.0 + - 1000.0 + - 6000.0 + data: + - - 3.53101 + - -0.000123661 + - -5.02999e-07 + - 2.43531e-09 + - -1.40881e-12 + - -1046.98 + - 2.96747 + - - 2.95258 + - 0.0013969 + - -4.92632e-07 + - 7.8601e-11 + - -4.60755e-15 + - -923.949 + - 5.87189 + transport: + model: gas + geometry: linear + diameter: 3.6210000000000013 + well-depth: 97.53030619382686 + polarizability: 1.7600000000000011 + rotational-relaxation: 4.0 + note: 'Transport data: GRI-Mech' +- name: Ar + composition: + Ar: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 4.37967 + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 4.37967 + transport: + model: gas + geometry: atom + diameter: 3.3300000000000005 + well-depth: 136.50054988458677 + note: 'Transport data: GRI-Mech' +- name: He + composition: + He: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 0.928724 + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 0.928724 + transport: + model: gas + geometry: atom + diameter: 2.5760000000000005 + well-depth: 10.2 + note: 'Transport data: NOx2018' +- name: Ne + composition: + Ne: 1.0 + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: + - 200.0 + - 1000.0 + - 6000.0 + data: + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 3.35532 + - - 2.5 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - -745.375 + - 3.35532 + transport: + model: gas + geometry: atom + diameter: 3.7580000000000005 + well-depth: 148.6 + note: 'Transport data: Epsilon & sigma estimated with fixed Lennard Jones Parameters. + This is the fallback method! Try improving transport databases!' +reactions: +- equation: H2(3) + O(2) <=> H(4) + OH(5) + rate-constant: + A: 38.7 + b: 2.7 + Ea: 26191840.0 +- equation: HO2(6) + O(2) <=> O2(7) + OH(5) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) + rate-constant: + A: 9630.0 + b: 2.0 + Ea: 16736000.0 +- equation: CH(9) + O(2) <=> CO(10) + H(4) + rate-constant: + A: 57000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH2(11) + O(2) <=> H(4) + HCO(12) + rate-constant: + A: 80000000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) + rate-constant: + A: 15000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) + rate-constant: + A: 15000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + O(2) <=> CH2O(15) + H(4) + rate-constant: + A: 50600000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH4(16) + O(2) <=> CH3(14) + OH(5) + rate-constant: + A: 1020000.0000000001 + b: 1.5 + Ea: 35982400.00000001 +- equation: HCO(12) + O(2) <=> CO(10) + OH(5) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: HCO(12) + O(2) <=> CO2(17) + H(4) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) + rate-constant: + A: 39000000000.00001 + b: 0.0 + Ea: 14811360.0 +- equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) + rate-constant: + A: 388.00000000000006 + b: 2.5 + Ea: 12970400.0 +- equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) + rate-constant: + A: 130.00000000000003 + b: 2.5 + Ea: 20920000.000000004 +- equation: C2H(21) + O(2) <=> CH(9) + CO(10) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) + rate-constant: + A: 13500.000000000002 + b: 2.0 + Ea: 7949600.000000001 +- equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) + rate-constant: + A: 4.600000000000001e+16 + b: -1.41 + Ea: 121126800.00000001 +- equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) + rate-constant: + A: 6940.000000000001 + b: 2.0 + Ea: 7949600.000000001 +- equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) + rate-constant: + A: 12500.000000000002 + b: 1.83 + Ea: 920480.0 +- equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) + rate-constant: + A: 22400000000.000004 + b: 0.0 + Ea: 0.0 +- equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) + rate-constant: + A: 89800.00000000001 + b: 1.92 + Ea: 23806960.000000004 +- equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) + rate-constant: + A: 100000000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 33472000.0 +- equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) + rate-constant: + A: 1750000000.0000002 + b: 0.0 + Ea: 5648400.000000002 +- equation: CO(10) + O2(7) <=> CO2(17) + O(2) + rate-constant: + A: 2500000000.0000005 + b: 0.0 + Ea: 199995200.0 +- equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) + rate-constant: + A: 100000000000.00002 + b: 0.0 + Ea: 167360000.00000003 +- equation: H(4) + 2 O2(7) <=> HO2(6) + O2(7) + rate-constant: + A: 20800000000000.004 + b: -1.24 + Ea: 0.0 +- equation: H(4) + H2O(28) + O2(7) <=> H2O(28) + HO2(6) + rate-constant: + A: 11260000000000.002 + b: -0.76 + Ea: 0.0 +- equation: H(4) + O2(7) <=> O(2) + OH(5) + rate-constant: + A: 26500000000000.004 + b: -0.6707 + Ea: 71299544.00000001 +- equation: 2 H(4) + H2(3) <=> 2 H2(3) + rate-constant: + A: 90000000000.00002 + b: -0.6 + Ea: 0.0 +- equation: 2 H(4) + H2O(28) <=> H2(3) + H2O(28) + rate-constant: + A: 60000000000000.01 + b: -1.25 + Ea: 0.0 +- equation: CO2(17) + 2 H(4) <=> CO2(17) + H2(3) + rate-constant: + A: 550000000000000.1 + b: -2.0 + Ea: 0.0 +- equation: H(4) + HO2(6) <=> H2O(28) + O(2) + rate-constant: + A: 3970000000.0000005 + b: 0.0 + Ea: 2807464.0000000005 +- equation: H(4) + HO2(6) <=> H2(3) + O2(7) + rate-constant: + A: 44800000000.00001 + b: 0.0 + Ea: 4468512.000000002 +- equation: H(4) + HO2(6) <=> 2 OH(5) + rate-constant: + A: 84000000000.00002 + b: 0.0 + Ea: 2656840.0 +- equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) + rate-constant: + A: 12100.000000000002 + b: 2.0 + Ea: 21756800.000000004 +- equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 15062400.000000004 +- equation: CH(9) + H(4) <=> C(29) + H2(3) + rate-constant: + A: 165000000000.00003 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH4(16) + H(4) <=> CH3(14) + H2(3) + rate-constant: + A: 660000.0000000001 + b: 1.62 + Ea: 45354560.00000001 +- equation: H(4) + HCO(12) <=> CO(10) + H2(3) + rate-constant: + A: 73400000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) + rate-constant: + A: 57400.000000000015 + b: 1.9 + Ea: 11472528.0 +- equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) + rate-constant: + A: 165000000.00000003 + b: 0.65 + Ea: -1188256.0 +- equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) + rate-constant: + A: 32800000000.000004 + b: -0.09 + Ea: 2552240.0000000005 +- equation: CH3O(19) + H(4) <=> CH2OH(18) + H(4) + rate-constant: + A: 41500.00000000001 + b: 1.63 + Ea: 8050016.000000002 +- equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) + rate-constant: + A: 1500000000.0000002 + b: 0.5 + Ea: -460240.0 +- equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) + rate-constant: + A: 262000000000.00003 + b: -0.23 + Ea: 4476880.0 +- equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) + rate-constant: + A: 17000.000000000004 + b: 2.1 + Ea: 20376080.0 +- equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) + rate-constant: + A: 4200.000000000001 + b: 2.1 + Ea: 20376080.0 +- equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) + rate-constant: + A: 1325.0000000000002 + b: 2.53 + Ea: 51212160.0 +- equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) + rate-constant: + A: 2000000000.0000002 + b: 0.0 + Ea: 0.0 +- equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) + rate-constant: + A: 115000.00000000001 + b: 1.9 + Ea: 31505520.000000004 +- equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) + rate-constant: + A: 100000000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 33472000.0 +- equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) + rate-constant: + A: 11300000000.000002 + b: 0.0 + Ea: 14342752.000000002 +- equation: H(4) + HCCOH(30) <=> CH2CO(25) + H(4) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: H2(3) + OH(5) <=> H(4) + H2O(28) + rate-constant: + A: 216000.00000000003 + b: 1.51 + Ea: 14351120.000000002 +- equation: 2 OH(5) <=> H2O(28) + O(2) + rate-constant: + A: 35.7 + b: 2.4 + Ea: -8828240.0 +- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) + rate-constant: + A: 14500000000.000002 + b: 0.0 + Ea: -2092000.0 + duplicate: true +- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) + rate-constant: + A: 5000000000000.001 + b: 0.0 + Ea: 72508720.00000001 + duplicate: true +- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) + rate-constant: + A: 2000000000.0000002 + b: 0.0 + Ea: 1786568.0 + duplicate: true +- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) + rate-constant: + A: 1700000000000000.2 + b: 0.0 + Ea: 123051440.00000001 + duplicate: true +- equation: C(29) + OH(5) <=> CO(10) + H(4) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + OH(5) <=> H(4) + HCO(12) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) + rate-constant: + A: 11300.000000000002 + b: 2.0 + Ea: 12552000.0 +- equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) + rate-constant: + A: 56000.00000000001 + b: 1.6 + Ea: 22677280.000000004 +- equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) + rate-constant: + A: 644000000000000.1 + b: -1.34 + Ea: 5928728.0 +- equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) + rate-constant: + A: 100000.00000000001 + b: 1.6 + Ea: 13054080.000000002 +- equation: CO(10) + OH(5) <=> CO2(17) + H(4) + rate-constant: + A: 47600.00000000001 + b: 1.228 + Ea: 292880.0 +- equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) + rate-constant: + A: 3430000.0000000005 + b: 1.18 + Ea: -1870248.0000000002 +- equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) + rate-constant: + A: 5000000000.000001 + b: 0.0 + Ea: 0.0 +- equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) + rate-constant: + A: 5000000000.000001 + b: 0.0 + Ea: 0.0 +- equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) + rate-constant: + A: 1440.0000000000002 + b: 2.0 + Ea: -3514560.0000000005 +- equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) + rate-constant: + A: 6300.000000000001 + b: 2.0 + Ea: 6276000.0 +- equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) + rate-constant: + A: 2.1800000000000005e-07 + b: 4.5 + Ea: -4184000.0 +- equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) + rate-constant: + A: 504.0000000000001 + b: 2.3 + Ea: 56484000.0 +- equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) + rate-constant: + A: 33700.0 + b: 2.0 + Ea: 58576000.00000001 +- equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) + rate-constant: + A: 4.830000000000001e-07 + b: 4.0 + Ea: -8368000.0 +- equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) + rate-constant: + A: 5000000000.000001 + b: 0.0 + Ea: 0.0 +- equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) + rate-constant: + A: 3600.0000000000005 + b: 2.0 + Ea: 10460000.000000002 +- equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) + rate-constant: + A: 3540.0000000000005 + b: 2.12 + Ea: 3640080.0 +- equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) + rate-constant: + A: 7500000000.000001 + b: 0.0 + Ea: 8368000.0 +- equation: 2 HO2(6) <=> H2O2(8) + O2(7) + rate-constant: + A: 130000000.00000001 + b: 0.0 + Ea: -6819920.000000001 + duplicate: true +- equation: 2 HO2(6) <=> H2O2(8) + O2(7) + rate-constant: + A: 420000000000.00006 + b: 0.0 + Ea: 50208000.0 + duplicate: true +- equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) + rate-constant: + A: 20000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) + rate-constant: + A: 1000000000.0000001 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) + rate-constant: + A: 37800000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) + rate-constant: + A: 150000000000.00003 + b: 0.0 + Ea: 98742400.00000003 +- equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) + rate-constant: + A: 5600.000000000001 + b: 2.0 + Ea: 50208000.0 +- equation: C(29) + O2(7) <=> CO(10) + O(2) + rate-constant: + A: 58000000000.00001 + b: 0.0 + Ea: 2409984.0 +- equation: C(29) + CH2(11) <=> C2H(21) + H(4) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: C(29) + CH3(14) <=> C2H2(22) + H(4) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + O2(7) <=> HCO(12) + O(2) + rate-constant: + A: 67100000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + H2(3) <=> CH2(11) + H(4) + rate-constant: + A: 108000000000.00002 + b: 0.0 + Ea: 13012240.000000002 +- equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) + rate-constant: + A: 5710000000.000001 + b: 0.0 + Ea: -3158920.0 +- equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) + rate-constant: + A: 40000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) + rate-constant: + A: 60000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) + rate-constant: + A: 190000000000.00003 + b: 0.0 + Ea: 66073728.00000001 +- equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) + rate-constant: + A: 94600000000.00002 + b: 0.0 + Ea: -2154760.0 +- equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) + rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) + rate-constant: + A: 5000000000.000001 + b: 0.0 + Ea: 6276000.0 +- equation: CH2(11) + H2(3) <=> CH3(14) + H(4) + rate-constant: + A: 500.0000000000001 + b: 2.0 + Ea: 30250320.0 +- equation: 2 CH2(11) <=> C2H2(22) + H2(3) + rate-constant: + A: 1600000000000.0002 + b: 0.0 + Ea: 49973696.00000001 +- equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) + rate-constant: + A: 40000000000.00001 + b: 0.0 + Ea: 0.0 +- equation: CH2(11) + CH4(16) <=> 2 CH3(14) + rate-constant: + A: 2460.0000000000005 + b: 2.0 + Ea: 34601680.0 +- equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) + rate-constant: + A: 28000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) + rate-constant: + A: 12000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) + rate-constant: + A: 70000000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + H2O(28) <=> CH2(11) + H2O(28) + rate-constant: + A: 30000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) + rate-constant: + A: 12000000000.000002 + b: 0.0 + Ea: -2384880.0 +- equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) + rate-constant: + A: 16000000000.000002 + b: 0.0 + Ea: -2384880.0 +- equation: CH2(S)(13) + CO(10) <=> CH2(11) + CO(10) + rate-constant: + A: 9000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + CO2(17) <=> CH2(11) + CO2(17) + rate-constant: + A: 7000000000.000001 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) + rate-constant: + A: 14000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) + rate-constant: + A: 40000000000.00001 + b: 0.0 + Ea: -2301200.0000000005 +- equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) + rate-constant: + A: 35600000000.00001 + b: 0.0 + Ea: 127528320.00000001 +- equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) + rate-constant: + A: 2310000000.0000005 + b: 0.0 + Ea: 84997960.0 +- equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) + rate-constant: + A: 24.500000000000004 + b: 2.47 + Ea: 21673120.000000004 +- equation: 2 CH3(14) <=> C2H5(27) + H(4) + rate-constant: + A: 6840000000.000001 + b: 0.1 + Ea: 44350400.0 +- equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) + rate-constant: + A: 26480000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) + rate-constant: + A: 3.3200000000000003 + b: 2.81 + Ea: 24518240.0 +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) + rate-constant: + A: 30000.000000000004 + b: 1.5 + Ea: 41588960.0 +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) + rate-constant: + A: 10000.000000000002 + b: 1.5 + Ea: 41588960.0 +- equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) + rate-constant: + A: 227.00000000000003 + b: 2.0 + Ea: 38492800.0 +- equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) + rate-constant: + A: 6140.000000000002 + b: 1.74 + Ea: 43722800.0 +- equation: H2O(28) + HCO(12) <=> CO(10) + H(4) + H2O(28) + rate-constant: + A: 1500000000000000.2 + b: -1.0 + Ea: 71128000.0 +- equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) + rate-constant: + A: 13450000000.000002 + b: 0.0 + Ea: 1673600.0000000002 +- equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) + rate-constant: + A: 18000000000.000004 + b: 0.0 + Ea: 3765600.000000001 +- equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) + rate-constant: + A: 4.2800000000000005e-16 + b: 7.6 + Ea: -14769520.000000002 +- equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: -3158920.0 +- equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) + rate-constant: + A: 56800000.00000001 + b: 0.9 + Ea: 8338712.000000001 +- equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) + rate-constant: + A: 45800000000000.01 + b: -1.39 + Ea: 4246760.0 +- equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) + rate-constant: + A: 840000000.0000001 + b: 0.0 + Ea: 16213000.000000002 +- equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) + rate-constant: + A: 3200000000.0000005 + b: 0.0 + Ea: 3573136.0 +- equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) + rate-constant: + A: 10000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) + rate-constant: + A: 33700000000.000008 + b: 0.0 + Ea: 0.0 +- equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) + rate-constant: + A: 6700.000000000001 + b: 1.83 + Ea: 920480.0 +- equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) + rate-constant: + A: 109600000000.00002 + b: 0.0 + Ea: 0.0 +- equation: CH3(14) + OH(5) => CH2O(15) + H2(3) + rate-constant: + A: 8000000.000000001 + b: 0.5 + Ea: -7342920.0 +- equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) + rate-constant: + A: 5800000000.000001 + b: 0.0 + Ea: 6276000.0 +- equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) + rate-constant: + A: 2400000000.0000005 + b: 0.0 + Ea: 6276000.0 +- equation: 2 CH2(11) => C2H2(22) + 2 H(4) + rate-constant: + A: 200000000000.00003 + b: 0.0 + Ea: 45977976.0 +- equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) + rate-constant: + A: 68200000.00000001 + b: 0.25 + Ea: -3912040.0000000005 +- equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) + rate-constant: + A: 303000000.00000006 + b: 0.29 + Ea: 46024.00000000001 +- equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) + rate-constant: + A: 1337.0000000000002 + b: 1.61 + Ea: -1606656.0000000002 +- equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) + rate-constant: + A: 2920000000.0000005 + b: 0.0 + Ea: 7564672.000000002 +- equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) + rate-constant: + A: 2920000000.0000005 + b: 0.0 + Ea: 7564672.000000002 +- equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) + rate-constant: + A: 30100000000.000004 + b: 0.0 + Ea: 163803600.0 +- equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) + rate-constant: + A: 2050000.0000000005 + b: 1.16 + Ea: 10062520.0 +- equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) + rate-constant: + A: 2050000.0000000005 + b: 1.16 + Ea: 10062520.0 +- equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) + rate-constant: + A: 23430000.000000004 + b: 0.73 + Ea: -4656792.0 +- equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) + rate-constant: + A: 3010000000.0000005 + b: 0.0 + Ea: 49885832.0 +- equation: CH3(14) + CH3CHO(32) => CH3(14) + CH4(16) + CO(10) + rate-constant: + A: 2720.0000000000005 + b: 1.77 + Ea: 24769280.000000004 +- equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) + rate-constant: + A: 150000000000.00003 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) + rate-constant: + A: 18100000.000000004 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) + rate-constant: + A: 23500000.000000004 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) + rate-constant: + A: 22000000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) + rate-constant: + A: 11000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) + rate-constant: + A: 12000000000.000002 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) + rate-constant: + A: 30100000000.000004 + b: 0.0 + Ea: 0.0 +- equation: 2 O(2) + M <=> O2(7) + M + type: three-body + rate-constant: + A: 120000000000.00002 + b: -1.0 + Ea: 0.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.4 + CH4(16): 2.0 + CO2(17): 3.6 + H2O(28): 15.4 + Ar: 0.83 +- equation: H(4) + O(2) + M <=> OH(5) + M + type: three-body + rate-constant: + A: 500000000000.0001 + b: -1.0 + Ea: 0.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: H(4) + O2(7) + M <=> HO2(6) + M + type: three-body + rate-constant: + A: 2800000000000.0005 + b: -0.86 + Ea: 0.0 + efficiencies: + ethane(1): 1.5 + O2(7): 0.0 + CO2(17): 1.5 + H2O(28): 0.0 + N2: 0.0 + Ar: 0.0 +- equation: 2 H(4) + M <=> H2(3) + M + type: three-body + rate-constant: + A: 1000000000000.0002 + b: -1.0 + Ea: 0.0 + efficiencies: + ethane(1): 3.0 + H2(3): 0.0 + CH4(16): 2.0 + CO2(17): 0.0 + H2O(28): 0.0 + Ar: 0.63 +- equation: H(4) + OH(5) + M <=> H2O(28) + M + type: three-body + rate-constant: + A: 2.2000000000000004e+16 + b: -2.0 + Ea: 0.0 + efficiencies: + ethane(1): 3.0 + H2(3): 0.73 + CH4(16): 2.0 + H2O(28): 3.65 + Ar: 0.38 +- equation: HCO(12) + M <=> CO(10) + H(4) + M + type: three-body + rate-constant: + A: 187000000000000.03 + b: -1.0 + Ea: 71128000.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 0.0 +- equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) + type: falloff + low-P-rate-constant: + A: 602000000.0000001 + b: 0.0 + Ea: 12552000.0 + high-P-rate-constant: + A: 18000000.000000004 + b: 0.0 + Ea: 9978840.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + O2(7): 6.0 + CH4(16): 2.0 + CO2(17): 3.5 + H2O(28): 6.0 + Ar: 0.5 +- equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) + type: falloff + low-P-rate-constant: + A: 1.0400000000000002e+20 + b: -2.76 + Ea: 6694400.000000001 + high-P-rate-constant: + A: 600000000000.0001 + b: 0.0 + Ea: 0.0 + Troe: + A: 0.562 + T3: 91.0 + T1: 5836.0 + T2: 8552.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) + type: falloff + low-P-rate-constant: + A: 2.6200000000000006e+27 + b: -4.76 + Ea: 10208960.000000002 + high-P-rate-constant: + A: 13900000000000.002 + b: -0.534 + Ea: 2242624.0000000005 + Troe: + A: 0.783 + T3: 74.0 + T1: 2941.0 + T2: 6964.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 3.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) + type: falloff + low-P-rate-constant: + A: 2.4700000000000005e+18 + b: -2.57 + Ea: 1778200.0 + high-P-rate-constant: + A: 1090000000.0000002 + b: 0.48 + Ea: -1087840.0000000005 + Troe: + A: 0.7824 + T3: 271.0 + T1: 2755.0 + T2: 6570.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) + type: falloff + low-P-rate-constant: + A: 1.2700000000000002e+26 + b: -4.82 + Ea: 27321520.0 + high-P-rate-constant: + A: 540000000.0000001 + b: 0.454 + Ea: 15062400.000000004 + Troe: + A: 0.7187 + T3: 103.00000000000001 + T1: 1291.0 + T2: 4160.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) + type: falloff + low-P-rate-constant: + A: 2.2000000000000006e+24 + b: -4.8 + Ea: 23263040.0 + high-P-rate-constant: + A: 540000000.0000001 + b: 0.454 + Ea: 10878400.000000002 + Troe: + A: 0.758 + T3: 94.0 + T1: 1555.0 + T2: 4200.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: + A: 4.360000000000001e+25 + b: -4.65 + Ea: 21254720.0 + high-P-rate-constant: + A: 1055000000.0000002 + b: 0.5 + Ea: 359824.0 + Troe: + A: 0.6 + T3: 100.0 + T1: 90000.0 + T2: 10000.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: + A: 4.660000000000001e+35 + b: -7.44 + Ea: 58910720.0 + high-P-rate-constant: + A: 2430000000.0000005 + b: 0.515 + Ea: 209200.00000000003 + Troe: + A: 0.7 + T3: 100.0 + T1: 90000.0 + T2: 10000.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) + type: falloff + low-P-rate-constant: + A: 3.750000000000001e+27 + b: -4.8 + Ea: 7949600.000000001 + high-P-rate-constant: + A: 100000000000000.02 + b: -1.0 + Ea: 0.0 + Troe: + A: 0.6464 + T3: 132.0 + T1: 1315.0 + T2: 5566.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) + type: falloff + low-P-rate-constant: + A: 3.8000000000000006e+34 + b: -7.27 + Ea: 30208480.0 + high-P-rate-constant: + A: 5600000000.000001 + b: 0.0 + Ea: 10041600.0 + Troe: + A: 0.7507 + T3: 98.50000000000001 + T1: 1302.0 + T2: 4167.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) + type: falloff + low-P-rate-constant: + A: 1.4000000000000004e+24 + b: -3.86 + Ea: 13890880.000000004 + high-P-rate-constant: + A: 6080000000.000001 + b: 0.27 + Ea: 1171520.0 + Troe: + A: 0.782 + T3: 207.49999999999997 + T1: 2663.0 + T2: 6095.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) + type: falloff + low-P-rate-constant: + A: 6.0000000000000005e+35 + b: -7.62 + Ea: 29162480.0 + high-P-rate-constant: + A: 540000000.0000001 + b: 0.454 + Ea: 7614880.000000001 + Troe: + A: 0.9753 + T3: 209.99999999999997 + T1: 983.9999999999999 + T2: 4374.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) + type: falloff + low-P-rate-constant: + A: 1.9900000000000005e+35 + b: -7.08 + Ea: 27970040.0 + high-P-rate-constant: + A: 521000000000000.06 + b: -0.99 + Ea: 6610720.0 + Troe: + A: 0.8422 + T3: 125.0 + T1: 2219.0 + T2: 6882.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) + type: falloff + low-P-rate-constant: + A: 5.07e+21 + b: -3.42 + Ea: 352920400.0 + high-P-rate-constant: + A: 43000.00000000001 + b: 1.5 + Ea: 333046400.0 + Troe: + A: 0.932 + T3: 197.00000000000003 + T1: 1540.0 + T2: 10300.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: 2 OH(5) (+M) <=> H2O2(8) (+M) + type: falloff + low-P-rate-constant: + A: 2300000000000.0005 + b: -0.9 + Ea: -7112800.0 + high-P-rate-constant: + A: 74000000000.00002 + b: -0.37 + Ea: 0.0 + Troe: + A: 0.7346 + T3: 94.0 + T1: 1756.0 + T2: 5182.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: + A: 4.000000000000001e+30 + b: -5.92 + Ea: 13137760.0 + high-P-rate-constant: + A: 2790000000000000.5 + b: -1.43 + Ea: 5564720.0 + Troe: + A: 0.412 + T3: 195.0 + T1: 5900.0 + T2: 6394.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) + type: falloff + low-P-rate-constant: + A: 2.6900000000000003e+22 + b: -3.74 + Ea: 8100224.000000001 + high-P-rate-constant: + A: 50000000000.00001 + b: 0.0 + Ea: 0.0 + Troe: + A: 0.5757 + T3: 237.00000000000003 + T1: 1652.0 + T2: 5069.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) + type: falloff + low-P-rate-constant: + A: 2.6900000000000006e+27 + b: -5.11 + Ea: 29685480.0 + high-P-rate-constant: + A: 810000000.0000001 + b: 0.5 + Ea: 18869840.000000004 + Troe: + A: 0.5907 + T3: 275.0 + T1: 1226.0 + T2: 5185.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: + A: 1.88e+32 + b: -6.36 + Ea: 21087360.0 + high-P-rate-constant: + A: 482000000000000.06 + b: -1.16 + Ea: 4790680.000000001 + Troe: + A: 0.6027 + T3: 208.0 + T1: 3921.9999999999995 + T2: 10180.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 +- equation: 2 CH3(14) (+M) <=> ethane(1) (+M) + type: falloff + low-P-rate-constant: + A: 3.400000000000001e+35 + b: -7.03 + Ea: 11556208.000000002 + high-P-rate-constant: + A: 67700000000000.01 + b: -1.18 + Ea: 2736336.000000001 + Troe: + A: 0.619 + T3: 73.2 + T1: 1180.0 + T2: 9999.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) + type: falloff + low-P-rate-constant: + A: 1.5800000000000006e+48 + b: -9.3 + Ea: 409195200.0 + high-P-rate-constant: + A: 8000000000000.0 + b: 0.44 + Ea: 363045680.00000006 + Troe: + A: 0.7345 + T3: 180.0 + T1: 1035.0 + T2: 5417.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) + type: falloff + low-P-rate-constant: + A: 4.820000000000001e+19 + b: -2.8 + Ea: 2468560.0000000005 + high-P-rate-constant: + A: 1970000000.0000002 + b: 0.43 + Ea: -1548080.0000000002 + Troe: + A: 0.578 + T3: 122.0 + T1: 2535.0 + T2: 9365.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) + type: falloff + low-P-rate-constant: + A: 1.0120000000000002e+36 + b: -7.63 + Ea: 16125136.000000002 + high-P-rate-constant: + A: 486500000.00000006 + b: 0.422 + Ea: -7342920.0 + Troe: + A: 0.465 + T3: 201.0 + T1: 1772.9999999999998 + T2: 5333.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) + type: falloff + low-P-rate-constant: + A: 2.7100000000000003e+68 + b: -16.82 + Ea: 54663960.00000001 + high-P-rate-constant: + A: 9430000000.000002 + b: 0.0 + Ea: 0.0 + Troe: + A: 0.1527 + T3: 291.0 + T1: 2742.0 + T2: 7748.0 + efficiencies: + ethane(1): 3.0 + H2(3): 2.0 + CH4(16): 2.0 + CO2(17): 2.0 + H2O(28): 6.0 + Ar: 0.7 +- equation: H(4) + HO2(6) <=> H2O2(8) + rate-constant: + A: 5250690.0 + b: 1.27262 + Ea: 0.0 +- equation: CH(9) + H(4) <=> CH2(S)(13) + rate-constant: + A: 53700000000.0 + b: 0.15395 + Ea: 0.0 +- equation: H(4) + HCCO(23) <=> CH2CO(25) + rate-constant: + A: 11386000000.0 + b: 0.308956 + Ea: 0.0 +- equation: C2H(21) + OH(5) <=> HCCOH(30) + rate-constant: + A: 77000000000.0 + b: 4.95181e-08 + Ea: 0.0 +- equation: H(4) + HCCO(23) <=> HCCOH(30) + rate-constant: + A: 2805150000.0 + b: 0.314888 + Ea: 0.0 +- equation: CH3(14) + HCO(12) <=> CH3CHO(32) + rate-constant: + A: 18100000000.000004 + b: 0.0 + Ea: 0.0 +- equation: CH2CHO(31) + H(4) <=> CH3CHO(32) + rate-constant: + A: 78286700000.0 + b: 0.0631113 + Ea: 0.0 +- equation: 2 CH(9) <=> C2H2(22) + rate-constant: + A: 99813000.0 + b: 0.610916 + Ea: 0.0 diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml new file mode 100644 index 00000000000..5fe076b5ff5 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml @@ -0,0 +1,1217 @@ +generator: ck2yaml +input-files: [chem.inp, tran.dat] +cantera-version: 2.6.0 +date: Fri, 06 Feb 2026 13:36:11 -0500 + +units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} + +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, + X] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), + O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), + CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), + C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), + C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 +- symbol: X + atomic-weight: 195.083 + +species: +- name: N2 + composition: {N: 2} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, + 2.96747] + - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, + 5.87189] + transport: + model: gas + geometry: linear + well-depth: 97.53 + diameter: 3.621 + polarizability: 1.76 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + transport: + model: gas + geometry: atom + well-depth: 136.501 + diameter: 3.33 + note: GRI-Mech +- name: He + composition: {He: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + transport: + model: gas + geometry: atom + well-depth: 10.2 + diameter: 2.576 + note: NOx2018 +- name: Ne + composition: {Ne: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + transport: + model: gas + geometry: atom + well-depth: 148.6 + diameter: 3.758 + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. + This is the fallback method! Try improving transport databases! +- name: ethane(1) + composition: {C: 2, H: 6} + thermo: + model: NASA7 + temperature-ranges: [100.0, 954.51, 5000.0] + data: + - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, 2.28636966e-11, + -1.16203409e+04, 5.21033695] + - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, -6.21716348e-14, + -1.27217663e+04, -3.61740116] + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: O(2) + composition: {O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 2.92302441e+04, 5.12616427] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 2.74791187e+04, -6.32199355] + transport: + model: gas + geometry: atom + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech +- name: H2(3) + composition: {H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1959.07, 5000.0] + data: + - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, -7.76039045e-14, + -1031.35983, -3.90841661] + - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, 4.3432812e-15, + -596.155632, 0.112618494] + transport: + model: gas + geometry: linear + well-depth: 38.0 + diameter: 2.92 + polarizability: 0.79 + rotational-relaxation: 280.0 + note: GRI-Mech +- name: H(4) + composition: {H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 2.54742178e+04, -0.444972899] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 2.37230923e+04, -11.8931307] + transport: + model: gas + geometry: atom + well-depth: 145.0 + diameter: 2.05 + note: GRI-Mech +- name: OH(5) + composition: {H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1145.76, 5000.0] + data: + - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, -3.85939405e-13, + 3414.25418, 2.10434756] + - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, 2.48061367e-15, + 3579.38792, 4.57801469] + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech +- name: HO2(6) + composition: {H: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 932.15, 5000.0] + data: + - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, 3.34908581e-12, + -986.754245, 4.63581294] + - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, -1.46337935e-14, + -910.368497, 8.1829188] + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: O2(7) + composition: {O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1074.55, 5000.0] + data: + - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, 1.45846258e-12, + -1038.58849, 4.68368183] + - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, -1.08782414e-14, + -1040.81728, 6.16755832] + transport: + model: gas + geometry: linear + well-depth: 107.4 + diameter: 3.458 + polarizability: 1.6 + rotational-relaxation: 3.8 + note: GRI-Mech +- name: H2O2(8) + composition: {H: 2, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 908.87, 5000.0] + data: + - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, 6.41593098e-12, + -1.77211709e+04, 5.4590992] + - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, -3.35202076e-15, + -1.83029497e+04, -4.02244574] + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 3.8 + note: GRI-Mech +- name: CH(9) + composition: {C: 1, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 926.51, 5000.0] + data: + - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, -4.57034328e-12, + 7.5083855e+04, 1.61266477] + - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, -8.47548969e-15, + 7.56507618e+04, 11.3255931] + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech +- name: CO(10) + composition: {C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1571.64, 5000.0] + data: + - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, 3.13595852e-13, + -1.42842549e+04, 3.57912151] + - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, -7.84023563e-15, + -1.41808823e+04, 6.71048256] + transport: + model: gas + geometry: linear + well-depth: 98.1 + diameter: 3.65 + polarizability: 1.95 + rotational-relaxation: 1.8 + note: GRI-Mech +- name: CH2(11) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1104.61, 5000.0] + data: + - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, 5.69496611e-13, + 4.58676802e+04, 0.533200599] + - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, -9.50338343e-15, + 4.60581391e+04, 4.77807727] + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech +- name: HCO(12) + composition: {C: 1, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1565.71, 5000.0] + data: + - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, 2.2789219e-12, + 3995.7703, 2.75110901] + - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, -7.07455829e-14, + 2787.59278, -2.2286268] + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + note: GRI-Mech +- name: CH2(S)(13) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1442.37, 5000.0] + data: + - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, 7.56181002e-13, + 5.04005786e+04, -0.411760728] + - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, -1.62952281e-14, + 5.06917394e+04, 6.78363319] + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech +- name: CH3(14) + composition: {C: 1, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1337.63, 5000.0] + data: + - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, 8.49956934e-13, + 1.62856394e+04, 0.351741472] + - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, -2.22545603e-14, + 1.62239579e+04, 1.66035007] + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech +- name: CH2O(15) + composition: {C: 1, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1402.28, 5000.0] + data: + - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, 4.31816316e-12, + -1.42789565e+04, 2.39242073] + - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, -9.68413887e-14, + -1.50752145e+04, 4.310906] + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: CH4(16) + composition: {C: 1, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1084.12, 5000.0] + data: + - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, 5.97526027e-12, + -1.01619434e+04, -0.921283218] + - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, -5.66316007e-14, + -9719.97168, 13.9931301] + transport: + model: gas + geometry: nonlinear + well-depth: 141.4 + diameter: 3.746 + polarizability: 2.6 + rotational-relaxation: 13.0 + note: GRI-Mech +- name: CO2(17) + composition: {C: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 988.88, 5000.0] + data: + - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, 4.14301837e-12, + -4.84703148e+04, 5.97933601] + - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, -1.70916113e-14, + -4.89803462e+04, -1.43256811] + transport: + model: gas + geometry: linear + well-depth: 244.001 + diameter: 3.763 + polarizability: 2.65 + rotational-relaxation: 2.1 + note: GRI-Mech +- name: CH2OH(18) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 895.02, 5000.0] + data: + - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, 1.24872943e-11, + -4007.45885, 7.29205125] + - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, 5.18305721e-15, + -4890.52242, -6.34789026] + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: CH3O(19) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 916.88, 5000.0] + data: + - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, 1.35709435e-11, + -6.1526064, 6.81371105] + - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, -1.70337706e-14, + -449.804491, 4.33880987] + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: CH3OH(20) + composition: {C: 1, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 952.14, 5000.0] + data: + - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, 1.00834696e-11, + -2.63358548e+04, 6.36475927] + - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, -4.27805556e-14, + -2.65518956e+04, 8.0877776] + transport: + model: gas + geometry: nonlinear + well-depth: 481.802 + diameter: 3.626 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: C2H(21) + composition: {C: 2, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1076.57, 5000.0] + data: + - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, -5.41599321e-12, + 6.63980142e+04, 5.96677301] + - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, 1.29286839e-14, + 6.65295062e+04, 2.7963513] + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech +- name: C2H2(22) + composition: {C: 2, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 888.63, 5000.0] + data: + - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, 5.50729325e-12, + 2.58526447e+04, 4.54464265] + - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, 2.21824257e-15, + 2.50944416e+04, -9.82620311] + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech +- name: HCCO(23) + composition: {C: 2, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 936.06, 5000.0] + data: + - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, 8.64536182e-13, + 2.2595688e+04, 7.09495919] + - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, -1.04309541e-14, + 2.19694663e+04, -5.8023368] + transport: + model: gas + geometry: nonlinear + well-depth: 150.001 + diameter: 2.5 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: C2H3(24) + composition: {C: 2, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.96, 5000.0] + data: + - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, 1.7290018e-11, + 3.47971783e+04, 6.09789219] + - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, -1.45095844e-14, + 3.38297738e+04, -4.87809437] + transport: + model: gas + geometry: nonlinear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 1.0 + note: GRI-Mech +- name: CH2CO(25) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 956.67, 5000.0] + data: + - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, 6.71175543e-12, + -7123.94257, 5.74371829] + - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, -2.51634772e-14, + -7928.96904, -6.92134249] + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: C2H4(26) + composition: {C: 2, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 940.45, 5000.0] + data: + - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, 2.31763871e-11, + 5077.46136, 4.04626943] + - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, -2.94663143e-14, + 3936.266, -6.62431874] + transport: + model: gas + geometry: nonlinear + well-depth: 280.801 + diameter: 3.971 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: C2H5(27) + composition: {C: 2, H: 5} + thermo: + model: NASA7 + temperature-ranges: [100.0, 900.31, 5000.0] + data: + - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, 2.37077381e-11, + 1.30660124e+04, 7.61638915] + - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, -1.43488224e-14, + 1.20640959e+04, -2.91080147] + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech +- name: H2O(28) + composition: {H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1130.23, 5000.0] + data: + - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, 2.12832915e-13, + -3.02815866e+04, -0.311361934] + - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, -5.79385325e-15, + -2.99586146e+04, 5.91039666] + transport: + model: gas + geometry: nonlinear + well-depth: 572.402 + diameter: 2.605 + dipole: 1.844 + rotational-relaxation: 4.0 + note: GRI-Mech +- name: C(29) + composition: {C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 8.54745247e+04, 3.6597842] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 8.37233992e+04, -7.78837361] + transport: + model: gas + geometry: atom + well-depth: 71.4 + diameter: 3.298 + note: GRI-Mech +- name: HCCOH(30) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1009.86, 5000.0] + data: + - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, 2.66329645e-12, + 8782.03529, 7.19715805] + - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, -2.74093715e-14, + 7780.24104, -10.8313032] + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: CH2CHO(31) + composition: {C: 2, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 914.22, 5000.0] + data: + - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, 3.24065242e-11, + -2992.84324, 8.97316722] + - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, 3.70308341e-14, + -5941.56, -38.447418] + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: CH3CHO(32) + composition: {C: 2, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.2, 5000.0] + data: + - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, 1.58857257e-11, + -2.1380908e+04, 9.135651] + - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, -6.71005518e-14, + -2.23360269e+04, 0.900912176] + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech +- name: C3H8(33) + composition: {C: 3, H: 8} + thermo: + model: NASA7 + temperature-ranges: [100.0, 986.58, 5000.0] + data: + - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, 1.87061921e-11, + -1.44541763e+04, 10.0672893] + - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, -1.05990444e-13, + -1.60388983e+04, -8.8658229] + transport: + model: gas + geometry: nonlinear + well-depth: 266.801 + diameter: 4.982 + rotational-relaxation: 1.0 + note: GRI-Mech + +reactions: +- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 + rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} +- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 + rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} +- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 + rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 + rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 + rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 + rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} +- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 + rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} +- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 + rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} +- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 + rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} +- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 + rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} +- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 + rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} +- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 + rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} +- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 + rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} +- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 + rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 + rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} +- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} +- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} +- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 + rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} +- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 + rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} +- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} +- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 + rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} +- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 + rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} +- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 + rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} +- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 + rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} +- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 + rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} +- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 + rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} +- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 + rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} +- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 + rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} +- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 + rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} +- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 + rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} +- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} +- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 + rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 + rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} +- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 + rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 + rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} +- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 + rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} +- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 + rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} +- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 + rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} +- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 + rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} +- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 + rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} +- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 + rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} +- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 + rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} +- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 + rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} +- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} +- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 + rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} +- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} +- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 + rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} +- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 + rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} +- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 + rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 + duplicate: true + rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 + duplicate: true + rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 + duplicate: true + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 + duplicate: true + rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} +- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 + rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} +- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 + rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 + rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} +- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 + rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} +- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 + rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} +- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 + rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} +- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 + rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 + rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} +- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 + rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} +- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 + rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} +- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 + rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} +- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 + rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} +- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} +- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 + rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} +- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 + rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} +- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 + rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 + duplicate: true + rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 + duplicate: true + rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} +- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} +- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 + rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} +- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 + rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} +- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} +- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 + rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} +- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 + rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} +- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 + rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} +- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 + rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} +- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 + rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} +- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} +- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 + rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} +- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 + rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} +- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 + rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} +- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} +- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 + rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} +- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 + rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} +- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} +- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 + rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} +- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 + rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} +- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 + rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} +- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} +- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 + rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} +- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 + rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} +- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 + rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} +- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 + rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} +- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 + rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} +- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 + rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} +- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 + rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} +- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 + rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} +- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 + rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} +- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 + rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 + rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 + rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} +- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 + rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} +- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 + rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} +- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 + rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} +- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 + rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} +- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 + rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} +- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 + rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} +- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} +- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 + rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} +- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 + rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} +- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 + rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} +- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 + rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} +- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 + rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 + rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} +- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 + rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 + rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} +- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 + rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} +- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 + rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} +- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 + rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} +- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 + rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} +- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 + rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} +- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 + rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} +- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} +- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} +- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} +- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} +- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} +- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 + rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} +- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 + rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} +- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 + rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} +- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 + rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} +- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 + rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 + rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 + rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} +- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} +- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 + type: three-body + rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 2.4, CO2(17): 3.6, H2O(28): 15.4, + ethane(1): 3.0, Ar: 0.83} +- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 + type: three-body + rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, ethane(1): 3.0, + Ar: 0.7} +- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 + type: three-body + rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} + efficiencies: {H2O(28): 0.0, O2(7): 0.0, N2: 0.0, Ar: 0.0, CO2(17): 1.5, + ethane(1): 1.5} +- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 + type: three-body + rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, + Ar: 0.63} +- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 + type: three-body + rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, Ar: 0.38, CH4(16): 2.0, H2O(28): 3.65, + H2(3): 0.73} +- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 + type: three-body + rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 0.0, + H2(3): 2.0} +- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 + type: falloff + low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} + high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, ethane(1): 3.0, + O2(7): 6.0, Ar: 0.5} +- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 + type: falloff + low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} + high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} + Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 + type: falloff + low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} + high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} + Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} + efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 + type: falloff + low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} + high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} + Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} + efficiencies: {H2O(28): 6.0, H2(3): 2.0, Ar: 0.7, CO2(17): 2.0, ethane(1): 3.0, + CH4(16): 2.0} +- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 + type: falloff + low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} + Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 + type: falloff + low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} + Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 + type: falloff + low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} + high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} + Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 + type: falloff + low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} + high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} + Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 + type: falloff + low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} + high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} + Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 + type: falloff + low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} + high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} + Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 + type: falloff + low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} + high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} + Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} + efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 + type: falloff + low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} + Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 + type: falloff + low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} + high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} + Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 + type: falloff + low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} + high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} + Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 + type: falloff + low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} + high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} + Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} + efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, H2O(28): 6.0, + Ar: 0.7, CH4(16): 2.0} +- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 + type: falloff + low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} + high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 + type: falloff + low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} + high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 + type: falloff + low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} + high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} + Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 + type: falloff + low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} + high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} + Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} +- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 + type: falloff + low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} + high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 + type: falloff + low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} + high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} + Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, + H2(3): 2.0, Ar: 0.7} +- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 + type: falloff + low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} + high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} + Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, H2O(28): 6.0, ethane(1): 3.0, + H2(3): 2.0, Ar: 0.7} +- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 + type: falloff + low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} + high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} + Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 + type: falloff + low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} + high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} + Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} +- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 + rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} +- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 + rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} +- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 + rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} +- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 + rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 + rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} +- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 + rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} +- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 + rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} +- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 + rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml new file mode 100644 index 00000000000..ab0f6d37335 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml @@ -0,0 +1,2148 @@ +generator: ck2yaml +input-files: [chem_annotated.inp, tran.dat] +cantera-version: 2.6.0 +date: Fri, 06 Feb 2026 13:36:15 -0500 + +units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} + +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, + X] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), + O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), + CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), + C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), + C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 +- symbol: X + atomic-weight: 195.083 + +species: +- name: N2 + composition: {N: 2} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, + 2.96747] + - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, + 5.87189] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 97.53 + diameter: 3.621 + polarizability: 1.76 + rotational-relaxation: 4.0 + note: GRI-Mech + note: N2 +- name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 136.501 + diameter: 3.33 + note: GRI-Mech + note: Ar +- name: He + composition: {He: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 10.2 + diameter: 2.576 + note: NOx2018 + note: He +- name: Ne + composition: {Ne: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 148.6 + diameter: 3.758 + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. + This is the fallback method! Try improving transport databases! + note: Ne +- name: ethane(1) + composition: {C: 2, H: 6} + thermo: + model: NASA7 + temperature-ranges: [100.0, 954.51, 5000.0] + data: + - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, 2.28636966e-11, + -1.16203409e+04, 5.21033695] + - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, -6.21716348e-14, + -1.27217663e+04, -3.61740116] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech + note: ethane(1) +- name: O(2) + composition: {O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 2.92302441e+04, 5.12616427] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 2.74791187e+04, -6.32199355] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: O(2) +- name: H2(3) + composition: {H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1959.07, 5000.0] + data: + - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, -7.76039045e-14, + -1031.35983, -3.90841661] + - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, 4.3432812e-15, + -596.155632, 0.112618494] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 38.0 + diameter: 2.92 + polarizability: 0.79 + rotational-relaxation: 280.0 + note: GRI-Mech + note: H2(3) +- name: H(4) + composition: {H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 2.54742178e+04, -0.444972899] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 2.37230923e+04, -11.8931307] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 145.0 + diameter: 2.05 + note: GRI-Mech + note: H(4) +- name: OH(5) + composition: {H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1145.76, 5000.0] + data: + - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, -3.85939405e-13, + 3414.25418, 2.10434756] + - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, 2.48061367e-15, + 3579.38792, 4.57801469] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: OH(5) +- name: HO2(6) + composition: {H: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 932.15, 5000.0] + data: + - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, 3.34908581e-12, + -986.754245, 4.63581294] + - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, -1.46337935e-14, + -910.368497, 8.1829188] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + + radical(HOOJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 1.0 + note: GRI-Mech + note: HO2(6) +- name: O2(7) + composition: {O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1074.55, 5000.0] + data: + - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, 1.45846258e-12, + -1038.58849, 4.68368183] + - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, -1.08782414e-14, + -1040.81728, 6.16755832] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 107.4 + diameter: 3.458 + polarizability: 1.6 + rotational-relaxation: 3.8 + note: GRI-Mech + note: O2(7) +- name: H2O2(8) + composition: {H: 2, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 908.87, 5000.0] + data: + - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, 6.41593098e-12, + -1.77211709e+04, 5.4590992] + - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, -3.35202076e-15, + -1.83029497e+04, -4.02244574] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 3.8 + note: GRI-Mech + note: H2O2(8) +- name: CH(9) + composition: {C: 1, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 926.51, 5000.0] + data: + - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, -4.57034328e-12, + 7.5083855e+04, 1.61266477] + - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, -8.47548969e-15, + 7.56507618e+04, 11.3255931] + note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: CH(9) +- name: CO(10) + composition: {C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1571.64, 5000.0] + data: + - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, 3.13595852e-13, + -1.42842549e+04, 3.57912151] + - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, -7.84023563e-15, + -1.41808823e+04, 6.71048256] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 98.1 + diameter: 3.65 + polarizability: 1.95 + rotational-relaxation: 1.8 + note: GRI-Mech + note: CO(10) +- name: CH2(11) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1104.61, 5000.0] + data: + - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, 5.69496611e-13, + 4.58676802e+04, 0.533200599] + - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, -9.50338343e-15, + 4.60581391e+04, 4.77807727] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: CH2(11) +- name: HCO(12) + composition: {C: 1, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1565.71, 5000.0] + data: + - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, 2.2789219e-12, + 3995.7703, 2.75110901] + - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, -7.07455829e-14, + 2787.59278, -2.2286268] + note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + note: GRI-Mech + note: HCO(12) +- name: CH2(S)(13) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1442.37, 5000.0] + data: + - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, 7.56181002e-13, + 5.04005786e+04, -0.411760728] + - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, -1.62952281e-14, + 5.06917394e+04, 6.78363319] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: CH2(S)(13) +- name: CH3(14) + composition: {C: 1, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1337.63, 5000.0] + data: + - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, 8.49956934e-13, + 1.62856394e+04, 0.351741472] + - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, -2.22545603e-14, + 1.62239579e+04, 1.66035007] + note: 'Thermo library: primaryThermoLibrary + radical(CH3)' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: CH3(14) +- name: CH2O(15) + composition: {C: 1, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1402.28, 5000.0] + data: + - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, 4.31816316e-12, + -1.42789565e+04, 2.39242073] + - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, -9.68413887e-14, + -1.50752145e+04, 4.310906] + note: 'Thermo group additivity estimation: group(Cds-OdHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH2O(15) +- name: CH4(16) + composition: {C: 1, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1084.12, 5000.0] + data: + - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, 5.97526027e-12, + -1.01619434e+04, -0.921283218] + - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, -5.66316007e-14, + -9719.97168, 13.9931301] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 141.4 + diameter: 3.746 + polarizability: 2.6 + rotational-relaxation: 13.0 + note: GRI-Mech + note: CH4(16) +- name: CO2(17) + composition: {C: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 988.88, 5000.0] + data: + - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, 4.14301837e-12, + -4.84703148e+04, 5.97933601] + - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, -1.70916113e-14, + -4.89803462e+04, -1.43256811] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + + group(Cdd-OdOd)' + transport: + model: gas + geometry: linear + well-depth: 244.001 + diameter: 3.763 + polarizability: 2.65 + rotational-relaxation: 2.1 + note: GRI-Mech + note: CO2(17) +- name: CH2OH(18) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 895.02, 5000.0] + data: + - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, 1.24872943e-11, + -4007.45885, 7.29205125] + - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, 5.18305721e-15, + -4890.52242, -6.34789026] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(CsJOH)' + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH2OH(18) +- name: CH3O(19) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 916.88, 5000.0] + data: + - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, 1.35709435e-11, + -6.1526064, 6.81371105] + - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, -1.70337706e-14, + -449.804491, 4.33880987] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(H3COJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH3O(19) +- name: CH3OH(20) + composition: {C: 1, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 952.14, 5000.0] + data: + - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, 1.00834696e-11, + -2.63358548e+04, 6.36475927] + - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, -4.27805556e-14, + -2.65518956e+04, 8.0877776] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 481.802 + diameter: 3.626 + rotational-relaxation: 1.0 + note: GRI-Mech + note: CH3OH(20) +- name: C2H(21) + composition: {C: 2, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1076.57, 5000.0] + data: + - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, -5.41599321e-12, + 6.63980142e+04, 5.96677301] + - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, 1.29286839e-14, + 6.65295062e+04, 2.7963513] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + + radical(Acetyl)' + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech + note: C2H(21) +- name: C2H2(22) + composition: {C: 2, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 888.63, 5000.0] + data: + - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, 5.50729325e-12, + 2.58526447e+04, 4.54464265] + - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, 2.21824257e-15, + 2.50944416e+04, -9.82620311] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech + note: C2H2(22) +- name: HCCO(23) + composition: {C: 2, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 936.06, 5000.0] + data: + - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, 8.64536182e-13, + 2.2595688e+04, 7.09495919] + - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, -1.04309541e-14, + 2.19694663e+04, -5.8023368] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d) + radical(Cds_P)' + transport: + model: gas + geometry: nonlinear + well-depth: 150.001 + diameter: 2.5 + rotational-relaxation: 1.0 + note: GRI-Mech + note: HCCO(23) +- name: C2H3(24) + composition: {C: 2, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.96, 5000.0] + data: + - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, 1.7290018e-11, + 3.47971783e+04, 6.09789219] + - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, -1.45095844e-14, + 3.38297738e+04, -4.87809437] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + + radical(Cds_P)' + transport: + model: gas + geometry: nonlinear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 1.0 + note: GRI-Mech + note: C2H3(24) +- name: CH2CO(25) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 956.67, 5000.0] + data: + - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, 6.71175543e-12, + -7123.94257, 5.74371829] + - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, -2.51634772e-14, + -7928.96904, -6.92134249] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH2CO(25) +- name: C2H4(26) + composition: {C: 2, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 940.45, 5000.0] + data: + - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, 2.31763871e-11, + 5077.46136, 4.04626943] + - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, -2.94663143e-14, + 3936.266, -6.62431874] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 280.801 + diameter: 3.971 + rotational-relaxation: 1.5 + note: GRI-Mech + note: C2H4(26) +- name: C2H5(27) + composition: {C: 2, H: 5} + thermo: + model: NASA7 + temperature-ranges: [100.0, 900.31, 5000.0] + data: + - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, 2.37077381e-11, + 1.30660124e+04, 7.61638915] + - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, -1.43488224e-14, + 1.20640959e+04, -2.91080147] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + + radical(CCJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech + note: C2H5(27) +- name: H2O(28) + composition: {H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1130.23, 5000.0] + data: + - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, 2.12832915e-13, + -3.02815866e+04, -0.311361934] + - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, -5.79385325e-15, + -2.99586146e+04, 5.91039666] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 572.402 + diameter: 2.605 + dipole: 1.844 + rotational-relaxation: 4.0 + note: GRI-Mech + note: H2O(28) +- name: C(29) + composition: {C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 4879.8, 5000.0] + data: + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, + 8.54745247e+04, 3.6597842] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, + 8.37233992e+04, -7.78837361] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 71.4 + diameter: 3.298 + note: GRI-Mech + note: C(29) +- name: HCCOH(30) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1009.86, 5000.0] + data: + - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, 2.66329645e-12, + 8782.03529, 7.19715805] + - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, -2.74093715e-14, + 7780.24104, -10.8313032] + note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + + group(Ct-CtH)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: HCCOH(30) +- name: CH2CHO(31) + composition: {C: 2, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 914.22, 5000.0] + data: + - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, 3.24065242e-11, + -2992.84324, 8.97316722] + - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, 3.70308341e-14, + -5941.56, -38.447418] + note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + + group(Cds-CdsHH) + radical(C=COJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH2CHO(31) +- name: CH3CHO(32) + composition: {C: 2, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.2, 5000.0] + data: + - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, 1.58857257e-11, + -2.1380908e+04, 9.135651] + - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, -6.71005518e-14, + -2.23360269e+04, 0.900912176] + note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + + group(Cds-OdCsH)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: CH3CHO(32) +- name: C3H8(33) + composition: {C: 3, H: 8} + thermo: + model: NASA7 + temperature-ranges: [100.0, 986.58, 5000.0] + data: + - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, 1.87061921e-11, + -1.44541763e+04, 10.0672893] + - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, -1.05990444e-13, + -1.60388983e+04, -8.8658229] + note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + + group(Cs-CsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 266.801 + diameter: 4.982 + rotational-relaxation: 1.0 + note: GRI-Mech + note: C3H8(33) + +reactions: +- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 + rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} + note: |- + Reaction index: Chemkin #1; RMG #1 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), OH(5); H2(3), H(4); +- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #2; RMG #2 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), O2(7); O(2), OH(5); +- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 + rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} + note: |- + Reaction index: Chemkin #3; RMG #3 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), HO2(6); O(2), OH(5); +- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 + rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #4; RMG #4 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CO(10); O(2), H(4); +- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 + rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #5; RMG #5 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), HCO(12); O(2), H(4); +- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #6; RMG #6 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O(2), H2(3); +- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #7; RMG #7 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), HCO(12); O(2), H(4); +- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 + rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #8; RMG #8 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); O(2), H(4); +- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 + rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} + note: |- + Reaction index: Chemkin #9; RMG #9 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); O(2), OH(5); +- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #10; RMG #10 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); O(2), OH(5); +- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #11; RMG #11 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO2(17); O(2), H(4); +- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 + rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} + note: |- + Reaction index: Chemkin #12; RMG #12 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); O(2), OH(5); +- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #13; RMG #13 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); O(2), OH(5); +- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #14; RMG #14 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); O(2), OH(5); +- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 + rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} + note: |- + Reaction index: Chemkin #15; RMG #15 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); O(2), OH(5); +- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 + rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} + note: |- + Reaction index: Chemkin #16; RMG #16 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); O(2), OH(5); +- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #17; RMG #17 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), CO(10); O(2), CH(9); +- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 + rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} + note: |- + Reaction index: Chemkin #18; RMG #18 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), HCCO(23); O(2), H(4); +- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 + rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} + note: |- + Reaction index: Chemkin #19; RMG #19 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), C2H(21); O(2), OH(5); +- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 + rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} + note: |- + Reaction index: Chemkin #20; RMG #20 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CO(10); O(2), CH2(11); +- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #21; RMG #21 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2CO(25); O(2), H(4); +- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 + rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} + note: |- + Reaction index: Chemkin #22; RMG #22 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), HCO(12); O(2), CH3(14); +- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 + rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #23; RMG #23 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), CH2O(15); O(2), CH3(14); +- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 + rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} + note: |- + Reaction index: Chemkin #24; RMG #24 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); O(2), OH(5); +- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #25; RMG #25 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); O(2), H(4); O(2), CO(10); +- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} + note: |- + Reaction index: Chemkin #26; RMG #26 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); O(2), OH(5); +- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 + rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} + note: |- + Reaction index: Chemkin #27; RMG #27 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), CO2(17); O(2), CH2(11); +- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 + rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} + note: |- + Reaction index: Chemkin #28; RMG #28 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); O2(7), O(2); +- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} + note: |- + Reaction index: Chemkin #29; RMG #29 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); O2(7), HO2(6); +- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 + rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} + note: |- + Reaction index: Chemkin #30; RMG #30 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), O2(7); O2(7), O2(7); +- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 + rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} + note: |- + Reaction index: Chemkin #31; RMG #31 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), H2O(28); H2O(28), H2O(28); +- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 + rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} + note: |- + Reaction index: Chemkin #32; RMG #32 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), OH(5); H(4), O(2); +- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 + rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} + note: |- + Reaction index: Chemkin #33; RMG #33 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), H2(3); H(4), H2(3); H(4), H2(3); +- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 + rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} + note: |- + Reaction index: Chemkin #34; RMG #34 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O(28), H2O(28); H(4), H2(3); H(4), H2(3); +- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 + rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #35; RMG #35 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CO2(17); H(4), H2(3); H(4), H2(3); +- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 + rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} + note: |- + Reaction index: Chemkin #36; RMG #36 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), H2O(28); H(4), O(2); +- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 + rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} + note: |- + Reaction index: Chemkin #37; RMG #37 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), O2(7); H(4), H2(3); +- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 + rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} + note: |- + Reaction index: Chemkin #38; RMG #38 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), OH(5); H(4), OH(5); +- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 + rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} + note: |- + Reaction index: Chemkin #39; RMG #39 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), HO2(6); H(4), H2(3); +- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} + note: |- + Reaction index: Chemkin #40; RMG #40 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), H2O(28); H(4), OH(5); +- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 + rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #41; RMG #41 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), C(29); H(4), H2(3); +- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #42; RMG #42 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH(9); H(4), H2(3); +- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 + rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} + note: |- + Reaction index: Chemkin #43; RMG #43 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); H(4), H2(3); +- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 + rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #44; RMG #44 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); H(4), H2(3); +- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 + rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} + note: |- + Reaction index: Chemkin #45; RMG #45 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); H(4), H2(3); +- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #46; RMG #46 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); H(4), H2(3); +- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 + rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} + note: |- + Reaction index: Chemkin #47; RMG #47 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH3(14); H(4), OH(5); +- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 + rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} + note: |- + Reaction index: Chemkin #48; RMG #48 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2(S)(13); H(4), H2O(28); +- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 + rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} + note: |- + Reaction index: Chemkin #49; RMG #49 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2OH(18); H(4), H(4); +- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #50; RMG #50 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); H(4), H2(3); +- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 + rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} + note: |- + Reaction index: Chemkin #51; RMG #51 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH3(14); H(4), OH(5); +- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 + rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} + note: |- + Reaction index: Chemkin #52; RMG #52 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2(S)(13); H(4), H2O(28); +- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 + rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} + note: |- + Reaction index: Chemkin #53; RMG #53 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); H(4), H2(3); +- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 + rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} + note: |- + Reaction index: Chemkin #54; RMG #54 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); H(4), H2(3); +- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #55; RMG #55 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); H(4), H2(3); +- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 + rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} + note: |- + Reaction index: Chemkin #56; RMG #56 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); H(4), H2(3); +- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #57; RMG #57 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), C2H4(26); H(4), H2(3); +- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 + rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} + note: |- + Reaction index: Chemkin #58; RMG #58 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); H(4), H2(3); +- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #59; RMG #59 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); H(4), CH2(S)(13); +- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} + note: |- + Reaction index: Chemkin #60; RMG #60 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); H(4), H2(3); +- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 + rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} + note: |- + Reaction index: Chemkin #61; RMG #61 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), CO(10); H(4), CH3(14); +- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #62; RMG #62 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCOH(30), CH2CO(25); H(4), H(4); +- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 + rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} + note: |- + Reaction index: Chemkin #63; RMG #63 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O(28); H2(3), H(4); +- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 + rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} + note: |- + Reaction index: Chemkin #64; RMG #64 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O(28); OH(5), O(2); +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 + duplicate: true + rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} + note: |- + Reaction index: Chemkin #65; RMG #65 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 + duplicate: true + rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} + note: |- + Reaction index: Chemkin #66; RMG #65 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 + duplicate: true + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} + note: |- + Reaction index: Chemkin #67; RMG #66 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 + duplicate: true + rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} + note: |- + Reaction index: Chemkin #68; RMG #66 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #69; RMG #67 + Library reaction: GRI-Mech3.0 + Flux pairs: C(29), CO(10); OH(5), H(4); +- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #70; RMG #68 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), HCO(12); OH(5), H(4); +- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #71; RMG #69 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); OH(5), H(4); +- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 + rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} + note: |- + Reaction index: Chemkin #72; RMG #70 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH(9); OH(5), H2O(28); +- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #73; RMG #71 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2O(15); OH(5), H(4); +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 + rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} + note: |- + Reaction index: Chemkin #74; RMG #72 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2(11); OH(5), H2O(28); +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 + rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} + note: |- + Reaction index: Chemkin #75; RMG #73 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2(S)(13); OH(5), H2O(28); +- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 + rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} + note: |- + Reaction index: Chemkin #76; RMG #74 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); OH(5), H2O(28); +- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 + rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} + note: |- + Reaction index: Chemkin #77; RMG #75 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); OH(5), H(4); +- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #78; RMG #76 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); OH(5), H2O(28); +- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 + rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} + note: |- + Reaction index: Chemkin #79; RMG #77 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); OH(5), H2O(28); +- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #80; RMG #78 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); OH(5), H2O(28); +- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #81; RMG #79 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); OH(5), H2O(28); +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 + rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} + note: |- + Reaction index: Chemkin #82; RMG #80 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); OH(5), H2O(28); +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 + rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} + note: |- + Reaction index: Chemkin #83; RMG #81 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); OH(5), H2O(28); +- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #84; RMG #82 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), HCCO(23); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 + rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} + note: |- + Reaction index: Chemkin #85; RMG #83 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CH2CO(25); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 + rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} + note: |- + Reaction index: Chemkin #86; RMG #84 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), HCCOH(30); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 + rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} + note: |- + Reaction index: Chemkin #87; RMG #85 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), C2H(21); OH(5), H2O(28); +- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 + rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} + note: |- + Reaction index: Chemkin #88; RMG #86 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CO(10); OH(5), CH3(14); +- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #89; RMG #87 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); OH(5), H2O(28); +- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 + rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} + note: |- + Reaction index: Chemkin #90; RMG #88 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); OH(5), H2O(28); +- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 + rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} + note: |- + Reaction index: Chemkin #91; RMG #89 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); OH(5), H2O(28); +- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 + rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} + note: |- + Reaction index: Chemkin #92; RMG #90 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); OH(5), H2O(28); +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 + duplicate: true + rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} + note: |- + Reaction index: Chemkin #93; RMG #91 + Library reaction: GRI-Mech3.0 +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 + duplicate: true + rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} + note: |- + Reaction index: Chemkin #94; RMG #91 + Library reaction: GRI-Mech3.0 +- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #95; RMG #92 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); HO2(6), OH(5); +- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 + rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #96; RMG #93 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH4(16); HO2(6), O2(7); +- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 + rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #97; RMG #94 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH3O(19); HO2(6), OH(5); +- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} + note: |- + Reaction index: Chemkin #98; RMG #95 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); HO2(6), OH(5); +- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 + rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} + note: |- + Reaction index: Chemkin #99; RMG #96 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); HO2(6), H2O2(8); +- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 + rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} + note: |- + Reaction index: Chemkin #100; RMG #97 + Library reaction: GRI-Mech3.0 + Flux pairs: C(29), CO(10); O2(7), O(2); +- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #101; RMG #98 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H(21); C(29), H(4); +- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #102; RMG #99 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H2(22); C(29), H(4); +- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 + rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #103; RMG #100 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), HCO(12); O2(7), O(2); +- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 + rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} + note: |- + Reaction index: Chemkin #104; RMG #101 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CH2(11); H2(3), H(4); +- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 + rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} + note: |- + Reaction index: Chemkin #105; RMG #102 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CH2O(15); H2O(28), H(4); +- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #106; RMG #103 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH(9), H(4); +- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #107; RMG #104 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H3(24); CH(9), H(4); +- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 + rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #108; RMG #105 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), C2H4(26); CH(9), H(4); +- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 + rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} + note: |- + Reaction index: Chemkin #109; RMG #106 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), HCO(12); CH(9), CO(10); +- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 + rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} + note: |- + Reaction index: Chemkin #110; RMG #107 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), CH2CO(25); CH(9), H(4); +- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #111; RMG #108 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H2(22); CH(9), CO(10); +- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} + note: |- + Reaction index: Chemkin #112; RMG #109 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CO(10); O2(7), H(4); O2(7), OH(5); +- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 + rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} + note: |- + Reaction index: Chemkin #113; RMG #110 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH3(14); H2(3), H(4); +- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 + rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} + note: |- + Reaction index: Chemkin #114; RMG #111 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH2(11), H2(3); +- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #115; RMG #112 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H4(26); CH2(11), H(4); +- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 + rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} + note: |- + Reaction index: Chemkin #116; RMG #113 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); CH2(11), CH3(14); +- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #117; RMG #114 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H3(24); CH2(11), CO(10); +- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 + rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #118; RMG #115 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O2(7), H(4); O2(7), OH(5); +- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #119; RMG #116 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O2(7), H2O(28); +- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 + rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #120; RMG #117 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH3(14); H2(3), H(4); +- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #121; RMG #118 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2(11); H2O(28), H2O(28); +- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} + note: |- + Reaction index: Chemkin #122; RMG #119 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H4(26); CH2(S)(13), H(4); +- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 + rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} + note: |- + Reaction index: Chemkin #123; RMG #120 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); CH2(S)(13), CH3(14); +- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 + rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #124; RMG #121 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO(10); CH2(S)(13), CH2(11); +- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 + rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #125; RMG #122 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CO2(17); CH2(S)(13), CH2(11); +- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 + rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #126; RMG #123 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CH2O(15); CH2(S)(13), CO(10); +- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} + note: |- + Reaction index: Chemkin #127; RMG #124 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); CH2(S)(13), CH3(14); +- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 + rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} + note: |- + Reaction index: Chemkin #128; RMG #125 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH3O(19); O2(7), O(2); +- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 + rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} + note: |- + Reaction index: Chemkin #129; RMG #126 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); O2(7), OH(5); +- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 + rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} + note: |- + Reaction index: Chemkin #130; RMG #127 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH4(16); H2O2(8), HO2(6); +- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 + rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} + note: |- + Reaction index: Chemkin #131; RMG #128 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H5(27); CH3(14), H(4); +- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 + rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #132; RMG #129 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); CH3(14), CH4(16); +- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 + rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} + note: |- + Reaction index: Chemkin #133; RMG #130 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); CH3(14), CH4(16); +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 + rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} + note: |- + Reaction index: Chemkin #134; RMG #131 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); CH3(14), CH4(16); +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 + rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} + note: |- + Reaction index: Chemkin #135; RMG #132 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); CH3(14), CH4(16); +- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 + rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} + note: |- + Reaction index: Chemkin #136; RMG #133 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); CH3(14), CH4(16); +- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 + rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} + note: |- + Reaction index: Chemkin #137; RMG #134 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); CH3(14), CH4(16); +- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 + rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} + note: |- + Reaction index: Chemkin #138; RMG #135 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); H2O(28), H(4); H2O(28), H2O(28); +- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 + rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} + note: |- + Reaction index: Chemkin #139; RMG #136 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); O2(7), HO2(6); +- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 + rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} + note: |- + Reaction index: Chemkin #140; RMG #137 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); O2(7), HO2(6); +- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 + rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} + note: |- + Reaction index: Chemkin #141; RMG #138 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); O2(7), HO2(6); +- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} + note: |- + Reaction index: Chemkin #142; RMG #139 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), HCO(12); O2(7), CO(10); +- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 + rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} + note: |- + Reaction index: Chemkin #143; RMG #140 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), C2H2(22); H2(3), H(4); +- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 + rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} + note: |- + Reaction index: Chemkin #144; RMG #141 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2O(15); O2(7), HCO(12); +- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 + rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} + note: |- + Reaction index: Chemkin #145; RMG #142 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), C2H4(26); O2(7), HO2(6); +- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 + rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} + note: |- + Reaction index: Chemkin #146; RMG #143 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); O2(7), OH(5); O2(7), CO(10); +- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #147; RMG #144 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H2(22); HCCO(23), CO(10); HCCO(23), CO(10); +- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 + rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #148; RMG #145 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CO(10); O(2), H(4); O(2), H2(3); +- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 + rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} + note: |- + Reaction index: Chemkin #149; RMG #146 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), CH2CHO(31); O(2), H(4); +- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 + rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #150; RMG #147 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), CH3CHO(32); O(2), H(4); +- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 + rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} + note: |- + Reaction index: Chemkin #151; RMG #148 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); OH(5), H2(3); +- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 + rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} + note: |- + Reaction index: Chemkin #152; RMG #149 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CO2(17); O2(7), H(4); O2(7), H(4); +- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 + rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} + note: |- + Reaction index: Chemkin #153; RMG #150 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); O2(7), O(2); +- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 + rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} + note: |- + Reaction index: Chemkin #154; RMG #151 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH2(11), H(4); CH2(11), H(4); +- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 + rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} + note: |- + Reaction index: Chemkin #155; RMG #152 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2O(15); H2O(28), H2(3); +- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 + rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} + note: |- + Reaction index: Chemkin #156; RMG #153 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2CHO(31); O2(7), O(2); +- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 + rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} + note: |- + Reaction index: Chemkin #157; RMG #154 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); O2(7), HO2(6); +- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} + note: |- + Reaction index: Chemkin #158; RMG #155 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CH2CHO(31); O(2), OH(5); +- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} + note: |- + Reaction index: Chemkin #159; RMG #156 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); O(2), OH(5); O(2), CH3(14); +- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} + note: |- + Reaction index: Chemkin #160; RMG #157 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); O2(7), HO2(6); O2(7), CH3(14); +- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} + note: |- + Reaction index: Chemkin #161; RMG #158 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CH2CHO(31); H(4), H2(3); +- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} + note: |- + Reaction index: Chemkin #162; RMG #159 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); H(4), H2(3); H(4), CH3(14); +- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 + rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} + note: |- + Reaction index: Chemkin #163; RMG #160 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); OH(5), H2O(28); OH(5), CH3(14); +- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 + rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} + note: |- + Reaction index: Chemkin #164; RMG #161 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); HO2(6), H2O2(8); HO2(6), CH3(14); +- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 + rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} + note: |- + Reaction index: Chemkin #165; RMG #162 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); CH3(14), CH3(14); CH3(14), CH4(16); +- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #166; RMG #163 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CO2(17); O(2), H(4); O(2), CH2(11); +- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 + rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #167; RMG #164 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2O(15); O2(7), OH(5); O2(7), CO(10); +- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 + rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #168; RMG #165 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), HCO(12); O2(7), OH(5); O2(7), HCO(12); +- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 + rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #169; RMG #166 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), HCO(12); H(4), CH3(14); +- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 + rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #170; RMG #167 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2CO(25); H(4), H2(3); +- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #171; RMG #168 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2CO(25); OH(5), H2O(28); +- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #172; RMG #169 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2OH(18); OH(5), HCO(12); +- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 + type: three-body + rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 2.4, CO2(17): 3.6, H2O(28): 15.4, + ethane(1): 3.0, Ar: 0.83} + note: |- + Reaction index: Chemkin #173; RMG #170 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), O2(7); O(2), O2(7); +- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 + type: three-body + rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, ethane(1): 3.0, + Ar: 0.7} + note: |- + Reaction index: Chemkin #174; RMG #171 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), OH(5); H(4), OH(5); +- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 + type: three-body + rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} + efficiencies: {H2O(28): 0.0, O2(7): 0.0, N2: 0.0, Ar: 0.0, CO2(17): 1.5, + ethane(1): 1.5} + note: |- + Reaction index: Chemkin #175; RMG #172 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), HO2(6); +- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 + type: three-body + rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, + Ar: 0.63} + note: |- + Reaction index: Chemkin #176; RMG #173 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), H2(3); H(4), H2(3); +- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 + type: three-body + rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, Ar: 0.38, CH4(16): 2.0, H2O(28): 3.65, + H2(3): 0.73} + note: |- + Reaction index: Chemkin #177; RMG #174 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), H2O(28); OH(5), H2O(28); +- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 + type: three-body + rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 0.0, + H2(3): 2.0} + note: |- + Reaction index: Chemkin #178; RMG #175 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), H(4); HCO(12), CO(10); +- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 + type: falloff + low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} + high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, ethane(1): 3.0, + O2(7): 6.0, Ar: 0.5} + note: |- + Reaction index: Chemkin #179; RMG #176 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), CO2(17); CO(10), CO2(17); +- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 + type: falloff + low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} + high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} + Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #180; RMG #177 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3(14); CH2(11), CH3(14); +- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 + type: falloff + low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} + high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} + Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} + efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #181; RMG #178 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH4(16); CH3(14), CH4(16); +- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 + type: falloff + low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} + high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} + Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} + efficiencies: {H2O(28): 6.0, H2(3): 2.0, Ar: 0.7, CO2(17): 2.0, ethane(1): 3.0, + CH4(16): 2.0} + note: |- + Reaction index: Chemkin #182; RMG #179 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2O(15); HCO(12), CH2O(15); +- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 + type: falloff + low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} + Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #183; RMG #180 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2OH(18); CH2O(15), CH2OH(18); +- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 + type: falloff + low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} + Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #184; RMG #181 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3O(19); CH2O(15), CH3O(19); +- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 + type: falloff + low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} + high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} + Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #185; RMG #182 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3OH(20); CH2OH(18), CH3OH(20); +- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 + type: falloff + low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} + high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} + Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #186; RMG #183 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3OH(20); CH3O(19), CH3OH(20); +- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 + type: falloff + low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} + high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} + Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #187; RMG #184 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H2(22); C2H(21), C2H2(22); +- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 + type: falloff + low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} + high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} + Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #188; RMG #185 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H3(24); C2H2(22), C2H3(24); +- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 + type: falloff + low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} + high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} + Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} + efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #189; RMG #186 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H4(26); C2H3(24), C2H4(26); +- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 + type: falloff + low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} + Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #190; RMG #187 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H5(27); C2H4(26), C2H5(27); +- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 + type: falloff + low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} + high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} + Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #191; RMG #188 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), ethane(1); C2H5(27), ethane(1); +- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 + type: falloff + low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} + high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} + Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #192; RMG #189 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), CH2O(15); CO(10), CH2O(15); +- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 + type: falloff + low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} + high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} + Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} + efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, H2O(28): 6.0, + Ar: 0.7, CH4(16): 2.0} + note: |- + Reaction index: Chemkin #193; RMG #190 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O2(8); OH(5), H2O2(8); +- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 + type: falloff + low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} + high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #194; RMG #191 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), CH3OH(20); CH3(14), CH3OH(20); +- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 + type: falloff + low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} + high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #195; RMG #192 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), HCCO(23); CH(9), HCCO(23); +- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 + type: falloff + low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} + high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} + Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #196; RMG #193 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CH2CO(25); CH2(11), CH2CO(25); +- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 + type: falloff + low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} + high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} + Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0} + note: |- + Reaction index: Chemkin #197; RMG #194 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O(28), CH3OH(20); CH2(S)(13), CH3OH(20); +- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 + type: falloff + low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} + high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #198; RMG #195 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), ethane(1); CH3(14), ethane(1); +- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 + type: falloff + low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} + high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} + Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, + H2(3): 2.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #199; RMG #196 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), H2(3); C2H4(26), C2H2(22); +- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 + type: falloff + low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} + high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} + Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, H2O(28): 6.0, ethane(1): 3.0, + H2(3): 2.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #200; RMG #197 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), CH3(14); CH(9), CH3(14); +- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 + type: falloff + low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} + high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} + Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #201; RMG #198 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2CHO(31); CH2CO(25), CH2CHO(31); +- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 + type: falloff + low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} + high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} + Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} + note: |- + Reaction index: Chemkin #202; RMG #199 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C3H8(33); C2H5(27), C3H8(33); +- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 + rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} + note: |- + Reaction index: Chemkin #203; RMG #200 + Template reaction: R_Recombination + Flux pairs: HO2(6), H2O2(8); H(4), H2O2(8); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O in family R_Recombination. +- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 + rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} + note: |- + Reaction index: Chemkin #204; RMG #201 + Template reaction: R_Recombination + Flux pairs: CH(9), CH2(S)(13); H(4), CH2(S)(13); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O in family R_Recombination. +- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 + rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} + note: |- + Reaction index: Chemkin #205; RMG #207 + Template reaction: R_Recombination + Flux pairs: HCCO(23), CH2CO(25); H(4), CH2CO(25); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R in family R_Recombination. +- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 + rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #206; RMG #209 + Template reaction: R_Recombination + Flux pairs: OH(5), HCCOH(30); C2H(21), HCCOH(30); + Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R in family R_Recombination. +- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 + rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} + note: |- + Reaction index: Chemkin #207; RMG #210 + Template reaction: R_Recombination + Flux pairs: H(4), HCCOH(30); HCCO(23), HCCOH(30); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O in family R_Recombination. +- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 + rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} + note: |- + Reaction index: Chemkin #208; RMG #214 + Template reaction: R_Recombination + Flux pairs: HCO(12), CH3CHO(32); CH3(14), CH3CHO(32); + Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training + This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O] + family: R_Recombination +- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 + rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} + note: |- + Reaction index: Chemkin #209; RMG #215 + Template reaction: R_Recombination + Flux pairs: CH2CHO(31), CH3CHO(32); H(4), CH3CHO(32); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN in family R_Recombination. +- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 + rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} + note: |- + Reaction index: Chemkin #210; RMG #258 + Template reaction: R_Recombination + Flux pairs: CH(9), C2H2(22); CH(9), C2H2(22); + Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing in family R_Recombination. diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py index efc099c9a7c..5afbfb84f10 100644 --- a/test/rmgpy/yaml_writer/test_yaml.py +++ b/test/rmgpy/yaml_writer/test_yaml.py @@ -5,9 +5,14 @@ @pytest.fixture(scope="module") def compare_manager(): '''Create instance of a Compare Yaml before each test''' - test_data_folder='test/rmgpy/test_data/yaml_writer_data/chemkin/' - yaml_path_1 = os.path.join(test_data_folder, 'chem0047-gas.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'chem47.yaml') + test_data_folder='test/rmgpy/test_data/yaml_writer_data/' + # saved by Prosper in earlier commit + yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml') + + # generated on the fly in recent functional test + yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') return CompareYaml(yaml_path_1, yaml_path_2) def test_compare_number_of_species(compare_manager): From 50cdee91d673af75858fae4304eb29698abd4a8b Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 11:45:16 -0500 Subject: [PATCH 417/700] A stub cantera_yamlTest.py file for testing the cantera yaml features. Currently doesn't test much --- test/rmgpy/yaml_canteraTest.py | 47 ++++++++++++++++++++++++++++++++++ 1 file changed, 47 insertions(+) create mode 100644 test/rmgpy/yaml_canteraTest.py diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py new file mode 100644 index 00000000000..d78f4429a7b --- /dev/null +++ b/test/rmgpy/yaml_canteraTest.py @@ -0,0 +1,47 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +Tests for rmgpy.yaml_cantera module. +""" + +import pytest + +from rmgpy.yaml_cantera import ( + CanteraWriter, +) + + +class TestCanteraWriter: + """Tests for the CanteraWriter class.""" + + def test_can_instantiate(self): + """Test that CanteraWriter can be instantiated.""" + writer = CanteraWriter() + assert writer is not None From a07a05187f7de20d65ec515054bd5c253346d4a0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 15:47:05 -0500 Subject: [PATCH 418/700] Work on the yaml_canteraTest. Set up the structure and adding methods for comparing two yaml files. --- test/rmgpy/yaml_canteraTest.py | 68 ++++++++++++++++++++++++++++++++++ 1 file changed, 68 insertions(+) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index d78f4429a7b..57f530986c1 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -31,7 +31,10 @@ Tests for rmgpy.yaml_cantera module. """ +import copy +import os import pytest +import yaml from rmgpy.yaml_cantera import ( CanteraWriter, @@ -45,3 +48,68 @@ def test_can_instantiate(self): """Test that CanteraWriter can be instantiated.""" writer = CanteraWriter() assert writer is not None + +class CanteraYamlFileComparer: + """ + For comparing two Cantera YAML files. + This class provides methods to compare species and reactions between the two files. + + Args: + yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml. + yaml_path_2: Path to the second YAML file, written directly by RMG. + """ + yaml_path_1 = None + yaml_path_2 = None + + @pytest.fixture(autouse=True, scope="class") # loaded once per Class + def load_yaml_files(self, request): + """Load the two YAML files to be compared.""" + with open(request.cls.yaml_path_1, 'r') as file: + request.cls.yaml1 = yaml.safe_load(file) + with open(request.cls.yaml_path_2, 'r') as file: + request.cls.yaml2 = yaml.safe_load(file) + + @pytest.fixture(autouse=True) # runs before each test method + def copy_yaml_dicts(self): + """Make deep copies so tests can modify without affecting other tests.""" + self.yaml1 = copy.deepcopy(self.__class__.yaml1) + self.yaml2 = copy.deepcopy(self.__class__.yaml2) + + def testGeneratorsAsExpected(self): + "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." + assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." + assert self.yaml2['generator'] == 'RMG', "Second YAML file should be generated by RMG." + + def testKeysMatch(self): + """Test that the top-level keys in both YAML files match, except those expected not to.""" + # Remove keys from ck2yaml output that are not present in RMG output + self.yaml1.pop('input-files', None) + self.yaml1.pop('cantera-version', None) + assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." + + def testPhasesMatch(self): + """Test that the phase definitions in both YAML files match.""" + assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases" + + for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): + assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." + assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." +class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): + """Tests for comparing previously written Cantera YAML files, with surface mechanism. + + These are stored in the testing data directory. + """ + test_data_folder='test/rmgpy/test_data/yaml_writer_data/' + # saved by Prosper in earlier commit + yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml') + +class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): + """Tests for comparing previously written Cantera YAML files, gas-only mechanism. + + These are stored in the testing data directory. + """ + test_data_folder='test/rmgpy/test_data/yaml_writer_data/' + # generated on the fly in recent functional test + yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') \ No newline at end of file From 69a511ef2ddec96bbde8e23fc8d798818f85631a Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 22:05:19 -0500 Subject: [PATCH 419/700] Work on yaml_canteraTest.py. Check phases. Reorder, so we do the gas-only tests first (lets get them working..) before the surface one. Also, remove phases' reaction blocks before comparing top level keys. --- test/rmgpy/yaml_canteraTest.py | 26 ++++++++++++++++---------- 1 file changed, 16 insertions(+), 10 deletions(-) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index 57f530986c1..8126583d1dc 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -85,6 +85,11 @@ def testKeysMatch(self): # Remove keys from ck2yaml output that are not present in RMG output self.yaml1.pop('input-files', None) self.yaml1.pop('cantera-version', None) + for model in [self.yaml1, self.yaml2]: + for phase in model['phases']: + for reactions_block in phase.get('reactions', []): # for multi-phase mechanisms, reactions are under each phase + assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." + model.pop(reactions_block, None) # Remove reactions block to allow keys to match assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." def testPhasesMatch(self): @@ -94,15 +99,6 @@ def testPhasesMatch(self): for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." -class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): - """Tests for comparing previously written Cantera YAML files, with surface mechanism. - - These are stored in the testing data directory. - """ - test_data_folder='test/rmgpy/test_data/yaml_writer_data/' - # saved by Prosper in earlier commit - yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml') class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. @@ -112,4 +108,14 @@ class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): test_data_folder='test/rmgpy/test_data/yaml_writer_data/' # generated on the fly in recent functional test yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') \ No newline at end of file + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') + +class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): + """Tests for comparing previously written Cantera YAML files, with surface mechanism. + + These are stored in the testing data directory. + """ + test_data_folder='test/rmgpy/test_data/yaml_writer_data/' + # saved by Prosper in earlier commit + yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml') From 6aee99797532e51b8963a6ea253b5724a9cc683b Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 22:07:19 -0500 Subject: [PATCH 420/700] TEMP? mainTest functional test now copies the yaml files into the test folder. This may be a horrible idea for polluting people's git repositories. But it's helpful for me for now while debugging. You can run something like conda run pytest test/rmgpy/rmg/mainTest.py::TestMain -v --no-cov and it'll update the yaml files for your testing. --- test/rmgpy/rmg/mainTest.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 24a0d189938..71f93f23239 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -237,11 +237,21 @@ def test_cantera_input_files_match_chemkin(self): reverse=True ) rmg_yaml_file = cantera_files[0] + rmg_yaml_path = os.path.join(cantera_dir, rmg_yaml_file) + # copy it to test/rmgpy/test_data/yaml_writer_data/cantera/ + # so that it can be used in the yaml_writer tests as well + test_data_cantera_dir = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera') + shutil.copy(rmg_yaml_path, test_data_cantera_dir) # Get the yaml file converted from chemkin ck_yaml_file = "chem.yaml" - assert os.path.exists(os.path.join(cantera_from_ck_dir, ck_yaml_file)),\ - f"Chemkin-converted YAML file {ck_yaml_file} not found" + ck_yaml_path = os.path.join(cantera_from_ck_dir, ck_yaml_file) + assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_file} not found" + # copy it to test/rmgpy/test_data/yaml_writer_data/chemkin/ + # so that it can be used in the yaml_writer tests as well + test_data_chemkin_dir = os.path.join(self.testDir, '..', 'yaml_writer_data', 'chemkin') + shutil.copy(ck_yaml_path, os.path.join(test_data_chemkin_dir, rmg_yaml_file)) # rename it to match the RMG-generated file for easier comparison in yaml_writer tests + # Compare the two yaml files yaml_path_1 = os.path.join(cantera_dir, rmg_yaml_file) From 0f1180c8d1bd8f3e0c9136297ac86e3f45645672 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 22:09:38 -0500 Subject: [PATCH 421/700] [yaml_cantera] Make phase names mach ck2yaml version. Maybe these names aren't better, but for now we're trying to make a drop-in replacement (or at least ease comparison) --- rmgpy/yaml_cantera.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index f6d32e80a41..dd3ceb6f3d2 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -193,17 +193,17 @@ def get_phases_with_surface(spcs, surface_site_density): {ELEMENTS_LINE} species: [{', '.join(gas_species_to_write)}] kinetics: gas - reactions: [gas_reactions] + reactions: [gas-reactions] transport: mixture-averaged state: {{T: 300.0, P: 1 atm}} -- name: {surface_species[0].smiles.replace("[","").replace("]","")}_surface +- name: surface thermo: ideal-surface adjacent-phases: [gas] {ELEMENTS_LINE} species: [{', '.join(surface_species_to_write)}] kinetics: surface - reactions: [surface_reactions] + reactions: [site0-reactions] site-density: {surface_site_density * 1e-4 } """ # surface_site_density * 1e-4 #in units of mol/cm^2 @@ -214,7 +214,7 @@ def get_phases_with_surface(spcs, surface_site_density): def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): """ For systems with surface species/reactions. - Adds 'species', 'gas-reactions', and 'surface-reactions' to result_dict. + Adds 'species', 'gas-reactions', and 'site0-reactions' to result_dict. """ gas_rxns = [] surface_rxns = [] @@ -237,12 +237,12 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): gas_reactions = [] for rmg_rxn in gas_rxns: gas_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) - result_dict["gas_reactions"] = gas_reactions + result_dict["gas-reactions"] = gas_reactions surface_reactions = [] for rmg_rxn in surface_rxns: surface_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) - result_dict["surface_reactions"] = surface_reactions + result_dict["site0-reactions"] = surface_reactions return result_dict From e803c065877e5fddadd37347b41442cad789fc2e Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 22:17:39 -0500 Subject: [PATCH 422/700] [yaml_cantera] Fix where transport data comments are put The cantera object for transport data has no attribute for a note, but the yaml file data accepts it, so we can put it there. --- rmgpy/yaml_cantera.py | 6 +- .../yaml_writer_data/cantera/chem37.yaml | 78 +++++++++---------- 2 files changed, 40 insertions(+), 44 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index dd3ceb6f3d2..9ae18ba4461 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -311,14 +311,10 @@ def species_to_dict(species): cantera_species = species.to_cantera(use_chemkin_identifier=True) species_data = cantera_species.input_data - # if species.transport_data.comment exists, add it to species_data["note"] try: transport_comment = species.transport_data.comment if transport_comment: - if "note" in species_data: - species_data["note"] += f" Transport data: {transport_comment}" - else: - species_data["note"] = f"Transport data: {transport_comment}" + species_data["transport"]["note"] = transport_comment except AttributeError: pass diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml index 8a809d8c72e..bbce15386d6 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml @@ -1,5 +1,5 @@ generator: RMG -date: Fri, 06 Feb 2026 13:36:08 +date: Sat, 07 Feb 2026 22:16:09 units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} @@ -58,7 +58,7 @@ species: diameter: 4.3020000000000005 well-depth: 252.30104810022812 rotational-relaxation: 1.5 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: O(2) composition: O: 1.0 @@ -89,7 +89,7 @@ species: geometry: atom diameter: 2.7500000000000004 well-depth: 80.00026940977129 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: H2(3) composition: H: 2.0 @@ -122,7 +122,7 @@ species: well-depth: 38.00012796964137 polarizability: 0.7900000000000005 rotational-relaxation: 280.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: H(4) composition: H: 1.0 @@ -153,7 +153,7 @@ species: geometry: atom diameter: 2.0500000000000003 well-depth: 145.00018762466215 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: OH(5) composition: H: 1.0 @@ -185,7 +185,7 @@ species: geometry: linear diameter: 2.7500000000000004 well-depth: 80.00026940977129 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: HO2(6) composition: H: 1.0 @@ -218,7 +218,7 @@ species: diameter: 3.4580000000000015 well-depth: 107.40032560095216 rotational-relaxation: 1.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: O2(7) composition: O: 2.0 @@ -251,7 +251,7 @@ species: well-depth: 107.40032560095216 polarizability: 1.6000000000000008 rotational-relaxation: 3.8 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: H2O2(8) composition: H: 2.0 @@ -284,7 +284,7 @@ species: diameter: 3.4580000000000015 well-depth: 107.40032560095216 rotational-relaxation: 3.8 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH(9) composition: C: 1.0 @@ -316,7 +316,7 @@ species: geometry: linear diameter: 2.7500000000000004 well-depth: 80.00026940977129 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CO(10) composition: C: 1.0 @@ -350,7 +350,7 @@ species: well-depth: 98.10027624123336 polarizability: 1.9500000000000008 rotational-relaxation: 1.8 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2(11) composition: C: 1.0 @@ -382,7 +382,7 @@ species: geometry: nonlinear diameter: 3.8 well-depth: 144.00072548202698 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: HCO(12) composition: C: 1.0 @@ -415,7 +415,7 @@ species: geometry: nonlinear diameter: 3.590000000000001 well-depth: 498.001556803607 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2(S)(13) composition: C: 1.0 @@ -447,7 +447,7 @@ species: geometry: nonlinear diameter: 3.8 well-depth: 144.00072548202698 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH3(14) composition: C: 1.0 @@ -479,7 +479,7 @@ species: geometry: nonlinear diameter: 3.8 well-depth: 144.00072548202698 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2O(15) composition: C: 1.0 @@ -513,7 +513,7 @@ species: diameter: 3.590000000000001 well-depth: 498.001556803607 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH4(16) composition: C: 1.0 @@ -547,7 +547,7 @@ species: well-depth: 141.400440100105 polarizability: 2.600000000000002 rotational-relaxation: 13.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CO2(17) composition: C: 1.0 @@ -581,7 +581,7 @@ species: well-depth: 244.00106224424113 polarizability: 2.650000000000001 rotational-relaxation: 2.1 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2OH(18) composition: C: 1.0 @@ -616,7 +616,7 @@ species: well-depth: 417.00182525120056 dipole: 1.7000000000000002 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH3O(19) composition: C: 1.0 @@ -651,7 +651,7 @@ species: well-depth: 417.00182525120056 dipole: 1.7000000000000002 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH3OH(20) composition: C: 1.0 @@ -685,7 +685,7 @@ species: diameter: 3.626000000000001 well-depth: 481.802091582003 rotational-relaxation: 1.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C2H(21) composition: C: 2.0 @@ -718,7 +718,7 @@ species: diameter: 4.1000000000000005 well-depth: 209.00064369691785 rotational-relaxation: 2.5 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C2H2(22) composition: C: 2.0 @@ -751,7 +751,7 @@ species: diameter: 4.1000000000000005 well-depth: 209.00064369691785 rotational-relaxation: 2.5 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: HCCO(23) composition: C: 2.0 @@ -785,7 +785,7 @@ species: diameter: 2.5000000000000013 well-depth: 150.00110650441783 rotational-relaxation: 1.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C2H3(24) composition: C: 2.0 @@ -818,7 +818,7 @@ species: diameter: 4.1000000000000005 well-depth: 209.00064369691785 rotational-relaxation: 1.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2CO(25) composition: C: 2.0 @@ -852,7 +852,7 @@ species: diameter: 3.9700000000000006 well-depth: 436.0012277388149 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C2H4(26) composition: C: 2.0 @@ -885,7 +885,7 @@ species: diameter: 3.9710000000000005 well-depth: 280.80075319274636 rotational-relaxation: 1.5 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C2H5(27) composition: C: 2.0 @@ -918,7 +918,7 @@ species: diameter: 4.3020000000000005 well-depth: 252.30104810022812 rotational-relaxation: 1.5 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: H2O(28) composition: H: 2.0 @@ -952,7 +952,7 @@ species: well-depth: 572.4019516813576 dipole: 1.8439999999999999 rotational-relaxation: 4.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C(29) composition: C: 1.0 @@ -983,7 +983,7 @@ species: geometry: atom diameter: 3.2980000000000005 well-depth: 71.40020436655509 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: HCCOH(30) composition: C: 2.0 @@ -1017,7 +1017,7 @@ species: diameter: 3.9700000000000006 well-depth: 436.0012277388149 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH2CHO(31) composition: C: 2.0 @@ -1051,7 +1051,7 @@ species: diameter: 3.9700000000000006 well-depth: 436.0012277388149 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: CH3CHO(32) composition: C: 2.0 @@ -1085,7 +1085,7 @@ species: diameter: 3.9700000000000006 well-depth: 436.0012277388149 rotational-relaxation: 2.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: C3H8(33) composition: C: 3.0 @@ -1118,7 +1118,7 @@ species: diameter: 4.982000000000001 well-depth: 266.8010668626943 rotational-relaxation: 1.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: N2 composition: N: 2.0 @@ -1151,7 +1151,7 @@ species: well-depth: 97.53030619382686 polarizability: 1.7600000000000011 rotational-relaxation: 4.0 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: Ar composition: Ar: 1.0 @@ -1182,7 +1182,7 @@ species: geometry: atom diameter: 3.3300000000000005 well-depth: 136.50054988458677 - note: 'Transport data: GRI-Mech' + note: GRI-Mech - name: He composition: He: 1.0 @@ -1213,7 +1213,7 @@ species: geometry: atom diameter: 2.5760000000000005 well-depth: 10.2 - note: 'Transport data: NOx2018' + note: NOx2018 - name: Ne composition: Ne: 1.0 @@ -1244,8 +1244,8 @@ species: geometry: atom diameter: 3.7580000000000005 well-depth: 148.6 - note: 'Transport data: Epsilon & sigma estimated with fixed Lennard Jones Parameters. - This is the fallback method! Try improving transport databases!' + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the + fallback method! Try improving transport databases! reactions: - equation: H2(3) + O(2) <=> H(4) + OH(5) rate-constant: From 2a1bb13cd76364abe2d9a08df8b179f4ec857d3e Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 22:44:40 -0500 Subject: [PATCH 423/700] [yaml_canteraTest] More testing of phase definitions. Also, skip testing the surface mechanisms, which are out of date, and also failing. --- test/rmgpy/yaml_canteraTest.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index 8126583d1dc..3f9464a7e31 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -99,7 +99,14 @@ def testPhasesMatch(self): for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." - + assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match." + assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match." + assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match." + assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." + # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). + assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." + + assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. @@ -110,6 +117,7 @@ class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') +@pytest.mark.skip(reason="These files are out of date.") class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, with surface mechanism. From 044b1d0973655ea42967232c0e334bd7f22efdfc Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 23:36:09 -0500 Subject: [PATCH 424/700] [yaml_canteraTest] Test the Elements block --- test/rmgpy/yaml_canteraTest.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index 3f9464a7e31..217349f1898 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -105,8 +105,22 @@ def testPhasesMatch(self): assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." - assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." + + def testElementsMatch(self): + """Test that the element definitions in both YAML files match.""" + ck2yaml_elements = sorted(self.yaml1['elements'], key=lambda e: e['symbol']) + # Put symbol into Titlecase to match ck2yaml's formatting + rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2['elements']] + # Sort by the 'symbol' key. + rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) + # Compare symbols exactly, and atomic weights approximately + assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ + "YAML files have different element symbols." + assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx( + [e['atomic-weight'] for e in rmg_elements], abs=1e-3 + ), "YAML files have different element atomic weights." + class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. From de07328bb0af6987ce7cc6b97fc9e03eefd63dfb Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 23:39:17 -0500 Subject: [PATCH 425/700] [yaml_cantera] Outputs more condensed, with flow_style for some lists. Now if something isn't nested, it flows on one line instead of many. --- rmgpy/yaml_cantera.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index 9ae18ba4461..9aedf710cef 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -95,7 +95,7 @@ def write_cantera( f.write(ELEMENTS_BLOCK) - yaml.dump(result_dict, stream=f, sort_keys=False) + yaml.dump(result_dict, stream=f, sort_keys=False, default_flow_style=None, width=80) def get_elements_block(): """ From e36c0153c696d4e54d818ba3200dc9156213f3d2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 7 Feb 2026 23:40:23 -0500 Subject: [PATCH 426/700] Update the cantera yaml test data files. Eventually these should probably be generated during the test running, rather than being tracked and shipped. --- .../yaml_writer_data/cantera/chem37.yaml | 2887 ++++------------- .../yaml_writer_data/chemkin/chem37.yaml | 46 +- 2 files changed, 621 insertions(+), 2312 deletions(-) diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml index bbce15386d6..1efa90da8df 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml @@ -1,5 +1,5 @@ generator: RMG -date: Sat, 07 Feb 2026 22:16:09 +date: Sat, 07 Feb 2026 23:36:05 units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} @@ -27,2723 +27,1032 @@ elements: species: - name: ethane(1) - composition: - C: 2.0 - H: 6.0 + composition: {C: 2.0, H: 6.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 954.5144031334647 - - 5000.0 + temperature-ranges: [100.0, 954.5144031334647, 5000.0] data: - - - 3.7803346224806567 - - -0.0032426248016814156 - - 5.5238039667703986e-05 - - -6.38580941600652e-08 - - 2.2863696561761182e-11 - - -11620.34087553736 - - 5.21033694605818 - - - 4.589833066591745 - - 0.014150771489133034 - - -4.759620028277478e-06 - - 8.602939168659721e-10 - - -6.217163483041157e-14 - - -12721.766252833615 - - -3.617401162808474 - transport: - model: gas - geometry: nonlinear - diameter: 4.3020000000000005 - well-depth: 252.30104810022812 - rotational-relaxation: 1.5 - note: GRI-Mech + - [3.7803346224806567, -0.0032426248016814156, 5.5238039667703986e-05, -6.38580941600652e-08, + 2.2863696561761182e-11, -11620.34087553736, 5.21033694605818] + - [4.589833066591745, 0.014150771489133034, -4.759620028277478e-06, 8.602939168659721e-10, + -6.217163483041157e-14, -12721.766252833615, -3.617401162808474] + transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, + rotational-relaxation: 1.5, note: GRI-Mech} - name: O(2) - composition: - O: 1.0 + composition: {O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 4879.79935843716 - - 5000.0 + temperature-ranges: [100.0, 4879.79935843716, 5000.0] data: - - - 2.500000000525325 - - -3.0168053118223457e-12 - - 3.745821408661492e-15 - - -1.50856878452712e-18 - - 1.8662647138106804e-22 - - 29230.244128498045 - - 5.126164270441565 - - - 4.284610711633441 - - -0.001454946491116745 - - 4.448043060261492e-07 - - -6.043596423527559e-11 - - 3.0792155132960395e-15 - - 27479.11867419105 - - -6.321993547101339 - transport: - model: gas - geometry: atom - diameter: 2.7500000000000004 - well-depth: 80.00026940977129 - note: GRI-Mech + - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, + 1.8662647138106804e-22, 29230.244128498045, 5.126164270441565] + - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, + 3.0792155132960395e-15, 27479.11867419105, -6.321993547101339] + transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: H2(3) - composition: - H: 2.0 + composition: {H: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1959.0698277085164 - - 5000.0 + temperature-ranges: [100.0, 1959.0698277085164, 5000.0] data: - - - 3.4353639329701426 - - 0.00021271195316551332 - - -2.7862867098587985e-07 - - 3.4027001259222403e-10 - - -7.760390451747151e-14 - - -1031.359829839998 - - -3.908416612979825 - - - 2.7881850902828478 - - 0.0005876159208336712 - - 1.590221304411447e-07 - - -5.5276253610419804e-11 - - 4.3432812009578456e-15 - - -596.1556324770212 - - 0.11261849412712331 - transport: - model: gas - geometry: linear - diameter: 2.9200000000000004 - well-depth: 38.00012796964137 - polarizability: 0.7900000000000005 - rotational-relaxation: 280.0 - note: GRI-Mech + - [3.4353639329701426, 0.00021271195316551332, -2.7862867098587985e-07, 3.4027001259222403e-10, + -7.760390451747151e-14, -1031.359829839998, -3.908416612979825] + - [2.7881850902828478, 0.0005876159208336712, 1.590221304411447e-07, -5.5276253610419804e-11, + 4.3432812009578456e-15, -596.1556324770212, 0.11261849412712331] + transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, + polarizability: 0.7900000000000005, rotational-relaxation: 280.0, note: GRI-Mech} - name: H(4) - composition: - H: 1.0 + composition: {H: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 4879.79935843716 - - 5000.0 + temperature-ranges: [100.0, 4879.79935843716, 5000.0] data: - - - 2.500000000525325 - - -3.0168053118223457e-12 - - 3.745821408661492e-15 - - -1.50856878452712e-18 - - 1.8662647138106804e-22 - - 25474.21776867628 - - -0.44497289858131656 - - - 4.284610711633441 - - -0.001454946491116745 - - 4.448043060261492e-07 - - -6.043596423527559e-11 - - 3.0792155132960395e-15 - - 23723.092314369285 - - -11.893130716124219 - transport: - model: gas - geometry: atom - diameter: 2.0500000000000003 - well-depth: 145.00018762466215 - note: GRI-Mech + - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, + 1.8662647138106804e-22, 25474.21776867628, -0.44497289858131656] + - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, + 3.0792155132960395e-15, 23723.092314369285, -11.893130716124219] + transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215, + note: GRI-Mech} - name: OH(5) - composition: - H: 1.0 - O: 1.0 + composition: {H: 1.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1145.755403079624 - - 5000.0 + temperature-ranges: [100.0, 1145.755403079624, 5000.0] data: - - - 3.5145683934001286 - - 2.9273429188357182e-05 - - -5.321505975500024e-07 - - 1.0194752070317098e-09 - - -3.859394051948587e-13 - - 3414.2541816360504 - - 2.104347562369628 - - - 3.0719372419934894 - - 0.0006040198392479647 - - -1.398059297509044e-08 - - -2.13440813121432e-11 - - 2.480613665472284e-15 - - 3579.3879210270147 - - 4.578014689142749 - transport: - model: gas - geometry: linear - diameter: 2.7500000000000004 - well-depth: 80.00026940977129 - note: GRI-Mech + - [3.5145683934001286, 2.9273429188357182e-05, -5.321505975500024e-07, 1.0194752070317098e-09, + -3.859394051948587e-13, 3414.2541816360504, 2.104347562369628] + - [3.0719372419934894, 0.0006040198392479647, -1.398059297509044e-08, -2.13440813121432e-11, + 2.480613665472284e-15, 3579.3879210270147, 4.578014689142749] + transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: HO2(6) - composition: - H: 1.0 - O: 2.0 + composition: {H: 1.0, O: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 932.1532512001958 - - 5000.0 + temperature-ranges: [100.0, 932.1532512001958, 5000.0] data: - - - 4.045944875829953 - - -0.0017346477878945202 - - 1.0376651826495081e-05 - - -1.0220252214615669e-08 - - 3.3490858128922264e-12 - - -986.7542445427946 - - 4.635812941726547 - - - 3.2102385692345945 - - 0.0036794199100510217 - - -1.2770157188058695e-06 - - 2.1804525899094575e-10 - - -1.46337934635495e-14 - - -910.3684968001094 - - 8.182918800803932 - transport: - model: gas - geometry: nonlinear - diameter: 3.4580000000000015 - well-depth: 107.40032560095216 - rotational-relaxation: 1.0 - note: GRI-Mech + - [4.045944875829953, -0.0017346477878945202, 1.0376651826495081e-05, -1.0220252214615669e-08, + 3.3490858128922264e-12, -986.7542445427946, 4.635812941726547] + - [3.2102385692345945, 0.0036794199100510217, -1.2770157188058695e-06, 2.1804525899094575e-10, + -1.46337934635495e-14, -910.3684968001094, 8.182918800803932] + transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, + rotational-relaxation: 1.0, note: GRI-Mech} - name: O2(7) - composition: - O: 2.0 + composition: {O: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1074.5521361789392 - - 5000.0 + temperature-ranges: [100.0, 1074.5521361789392, 5000.0] data: - - - 3.537322428075094 - - -0.001215716474485827 - - 5.316202537894624e-06 - - -4.894464339332577e-09 - - 1.4584625824988387e-12 - - -1038.5884879849852 - - 4.6836818274255805 - - - 3.153820808116162 - - 0.001678043706296639 - - -7.699742361853628e-07 - - 1.5127546212659464e-10 - - -1.0878241391465713e-14 - - -1040.8172823427822 - - 6.167558317035532 - transport: - model: gas - geometry: linear - diameter: 3.4580000000000015 - well-depth: 107.40032560095216 - polarizability: 1.6000000000000008 - rotational-relaxation: 3.8 - note: GRI-Mech + - [3.537322428075094, -0.001215716474485827, 5.316202537894624e-06, -4.894464339332577e-09, + 1.4584625824988387e-12, -1038.5884879849852, 4.6836818274255805] + - [3.153820808116162, 0.001678043706296639, -7.699742361853628e-07, 1.5127546212659464e-10, + -1.0878241391465713e-14, -1040.8172823427822, 6.167558317035532] + transport: {model: gas, geometry: linear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, + polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} - name: H2O2(8) - composition: - H: 2.0 - O: 2.0 + composition: {H: 2.0, O: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 908.8684310710266 - - 5000.0 + temperature-ranges: [100.0, 908.8684310710266, 5000.0] data: - - - 3.7313606074110663 - - 0.003350677143271547 - - 9.35045148633553e-06 - - -1.5210130774428238e-08 - - 6.41593098227978e-12 - - -17721.17092257352 - - 5.459099197601417 - - - 5.415780648162937 - - 0.00261009267786374 - - -4.39898682777635e-07 - - 4.911036132933848e-11 - - -3.352020763906896e-15 - - -18302.949715286108 - - -4.0224457446790165 - transport: - model: gas - geometry: nonlinear - diameter: 3.4580000000000015 - well-depth: 107.40032560095216 - rotational-relaxation: 3.8 - note: GRI-Mech + - [3.7313606074110663, 0.003350677143271547, 9.35045148633553e-06, -1.5210130774428238e-08, + 6.41593098227978e-12, -17721.17092257352, 5.459099197601417] + - [5.415780648162937, 0.00261009267786374, -4.39898682777635e-07, 4.911036132933848e-11, + -3.352020763906896e-15, -18302.949715286108, -4.0224457446790165] + transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, + rotational-relaxation: 3.8, note: GRI-Mech} - name: CH(9) - composition: - C: 1.0 - H: 1.0 + composition: {C: 1.0, H: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 926.5085439203854 - - 5000.0 + temperature-ranges: [100.0, 926.5085439203854, 5000.0] data: - - - 4.114892273585301 - - -0.00036116143958226667 - - -6.346991343158507e-06 - - 1.0588285015813845e-08 - - -4.5703432807545634e-12 - - 75083.85500259689 - - 1.6126647739309432 - - - 2.3397062812226777 - - 0.0017586263783017052 - - -8.029429586931264e-07 - - 1.4046368662396407e-10 - - -8.475489693201224e-15 - - 75650.76178854634 - - 11.325593126583742 - transport: - model: gas - geometry: linear - diameter: 2.7500000000000004 - well-depth: 80.00026940977129 - note: GRI-Mech + - [4.114892273585301, -0.00036116143958226667, -6.346991343158507e-06, 1.0588285015813845e-08, + -4.5703432807545634e-12, 75083.85500259689, 1.6126647739309432] + - [2.3397062812226777, 0.0017586263783017052, -8.029429586931264e-07, 1.4046368662396407e-10, + -8.475489693201224e-15, 75650.76178854634, 11.325593126583742] + transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: CO(10) - composition: - C: 1.0 - O: 1.0 + composition: {C: 1.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1571.6354049877452 - - 5000.0 + temperature-ranges: [100.0, 1571.6354049877452, 5000.0] data: - - - 3.568380055982004 - - -0.0008521263402336211 - - 2.4891798891593604e-06 - - -1.5633122645097502e-09 - - 3.135958522080883e-13 - - -14284.254942618061 - - 3.579121509613098 - - - 2.9130623895850025 - - 0.0016465845638618018 - - -6.886182100781054e-07 - - 1.2103808090664696e-10 - - -7.840235626849002e-15 - - -14180.882289201463 - - 6.710482560882116 - transport: - model: gas - geometry: linear - diameter: 3.6500000000000004 - well-depth: 98.10027624123336 - polarizability: 1.9500000000000008 - rotational-relaxation: 1.8 - note: GRI-Mech + - [3.568380055982004, -0.0008521263402336211, 2.4891798891593604e-06, -1.5633122645097502e-09, + 3.135958522080883e-13, -14284.254942618061, 3.579121509613098] + - [2.9130623895850025, 0.0016465845638618018, -6.886182100781054e-07, 1.2103808090664696e-10, + -7.840235626849002e-15, -14180.882289201463, 6.710482560882116] + transport: {model: gas, geometry: linear, diameter: 3.6500000000000004, well-depth: 98.10027624123336, + polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} - name: CH2(11) - composition: - C: 1.0 - H: 2.0 + composition: {C: 1.0, H: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1104.6128503352172 - - 5000.0 + temperature-ranges: [100.0, 1104.6128503352172, 5000.0] data: - - - 4.011923849724262 - - -0.00015497847580878422 - - 3.2629776291924734e-06 - - -2.404217705414533e-09 - - 5.69496611389829e-13 - - 45867.68022129885 - - 0.5332005986734291 - - - 3.149833757942214 - - 0.0029667427819629355 - - -9.760559563544758e-07 - - 1.5411530652523485e-10 - - -9.503383428759635e-15 - - 46058.13907773092 - - 4.778077271974439 - transport: - model: gas - geometry: nonlinear - diameter: 3.8 - well-depth: 144.00072548202698 - note: GRI-Mech + - [4.011923849724262, -0.00015497847580878422, 3.2629776291924734e-06, -2.404217705414533e-09, + 5.69496611389829e-13, 45867.68022129885, 0.5332005986734291] + - [3.149833757942214, 0.0029667427819629355, -9.760559563544758e-07, 1.5411530652523485e-10, + -9.503383428759635e-15, 46058.13907773092, 4.778077271974439] + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: HCO(12) - composition: - C: 1.0 - H: 1.0 - O: 1.0 + composition: {C: 1.0, H: 1.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1565.710769814448 - - 5000.0 + temperature-ranges: [100.0, 1565.710769814448, 5000.0] data: - - - 4.356025045126686 - - -0.003470918444335241 - - 1.256654231917654e-05 - - -9.995007073537849e-09 - - 2.27892189587309e-12 - - 3995.7702996929706 - - 2.7511090101863274 - - - 4.618500712117856 - - 0.005044801124538438 - - -4.392527572410329e-06 - - 9.733079685032755e-10 - - -7.074558293290182e-14 - - 2787.5927799665187 - - -2.228626796116413 - transport: - model: gas - geometry: nonlinear - diameter: 3.590000000000001 - well-depth: 498.001556803607 - note: GRI-Mech + - [4.356025045126686, -0.003470918444335241, 1.256654231917654e-05, -9.995007073537849e-09, + 2.27892189587309e-12, 3995.7702996929706, 2.7511090101863274] + - [4.618500712117856, 0.005044801124538438, -4.392527572410329e-06, 9.733079685032755e-10, + -7.074558293290182e-14, 2787.5927799665187, -2.228626796116413] + transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, + note: GRI-Mech} - name: CH2(S)(13) - composition: - C: 1.0 - H: 2.0 + composition: {C: 1.0, H: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1442.3734183050428 - - 5000.0 + temperature-ranges: [100.0, 1442.3734183050428, 5000.0] data: - - - 4.102642374766526 - - -0.001440670363156292 - - 5.4506516898649474e-06 - - -3.5799832495551506e-09 - - 7.56181002008421e-13 - - 50400.57855875044 - - -0.4117607276871079 - - - 2.626501250591716 - - 0.003947589008801476 - - -1.4992204676038928e-06 - - 2.545345972181073e-10 - - -1.629522814282525e-14 - - 50691.73943964913 - - 6.783633187716576 - transport: - model: gas - geometry: nonlinear - diameter: 3.8 - well-depth: 144.00072548202698 - note: GRI-Mech + - [4.102642374766526, -0.001440670363156292, 5.4506516898649474e-06, -3.5799832495551506e-09, + 7.56181002008421e-13, 50400.57855875044, -0.4117607276871079] + - [2.626501250591716, 0.003947589008801476, -1.4992204676038928e-06, 2.545345972181073e-10, + -1.629522814282525e-14, 50691.73943964913, 6.783633187716576] + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: CH3(14) - composition: - C: 1.0 - H: 3.0 + composition: {C: 1.0, H: 3.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1337.6273973529305 - - 5000.0 + temperature-ranges: [100.0, 1337.6273973529305, 5000.0] data: - - - 3.9154676147507557 - - 0.0018415431771402861 - - 3.487417742251006e-06 - - -3.327476223794935e-09 - - 8.499569335220797e-13 - - 16285.639372336085 - - 0.35174147165449815 - - - 3.5414574177499976 - - 0.00476786844100677 - - -1.8214843098772305e-06 - - 3.288765982944306e-10 - - -2.2254560301941414e-14 - - 16223.957944002335 - - 1.660350070273034 - transport: - model: gas - geometry: nonlinear - diameter: 3.8 - well-depth: 144.00072548202698 - note: GRI-Mech + - [3.9154676147507557, 0.0018415431771402861, 3.487417742251006e-06, -3.327476223794935e-09, + 8.499569335220797e-13, 16285.639372336085, 0.35174147165449815] + - [3.5414574177499976, 0.00476786844100677, -1.8214843098772305e-06, 3.288765982944306e-10, + -2.2254560301941414e-14, 16223.957944002335, 1.660350070273034] + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: CH2O(15) - composition: - C: 1.0 - H: 2.0 - O: 1.0 + composition: {C: 1.0, H: 2.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1402.2805526136196 - - 5000.0 + temperature-ranges: [100.0, 1402.2805526136196, 5000.0] data: - - - 4.322897204846498 - - -0.005063284728937348 - - 2.1515595139387085e-05 - - -1.7652180675797467e-08 - - 4.318163163554022e-12 - - -14278.95652991198 - - 2.3924207303721055 - - - 3.179926922536179 - - 0.009556026740837536 - - -6.273035810535522e-06 - - 1.3355498062812185e-09 - - -9.684138870385007e-14 - - -15075.214471261344 - - 4.310905996593398 - transport: - model: gas - geometry: nonlinear - diameter: 3.590000000000001 - well-depth: 498.001556803607 - rotational-relaxation: 2.0 - note: GRI-Mech + - [4.322897204846498, -0.005063284728937348, 2.1515595139387085e-05, -1.7652180675797467e-08, + 4.318163163554022e-12, -14278.95652991198, 2.3924207303721055] + - [3.179926922536179, 0.009556026740837536, -6.273035810535522e-06, 1.3355498062812185e-09, + -9.684138870385007e-14, -15075.214471261344, 4.310905996593398] + transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH4(16) - composition: - C: 1.0 - H: 4.0 + composition: {C: 1.0, H: 4.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1084.1184988064424 - - 5000.0 + temperature-ranges: [100.0, 1084.1184988064424, 5000.0] data: - - - 4.205416332329364 - - -0.0053555861977321725 - - 2.5112368844591466e-05 - - -2.137633638251667e-08 - - 5.975260270081695e-12 - - -10161.943352700215 - - -0.921283217687999 - - - 0.9082594301968506 - - 0.011454096182441033 - - -4.571744119658087e-06 - - 8.291930285055165e-10 - - -5.663160065769571e-14 - - -9719.971679939605 - - 13.993130069236978 - transport: - model: gas - geometry: nonlinear - diameter: 3.746000000000001 - well-depth: 141.400440100105 - polarizability: 2.600000000000002 - rotational-relaxation: 13.0 - note: GRI-Mech + - [4.205416332329364, -0.0053555861977321725, 2.5112368844591466e-05, -2.137633638251667e-08, + 5.975260270081695e-12, -10161.943352700215, -0.921283217687999] + - [0.9082594301968506, 0.011454096182441033, -4.571744119658087e-06, 8.291930285055165e-10, + -5.663160065769571e-14, -9719.971679939605, 13.993130069236978] + transport: {model: gas, geometry: nonlinear, diameter: 3.746000000000001, well-depth: 141.400440100105, + polarizability: 2.600000000000002, rotational-relaxation: 13.0, note: GRI-Mech} - name: CO2(17) - composition: - C: 1.0 - O: 2.0 + composition: {C: 1.0, O: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 988.8792165501785 - - 5000.0 + temperature-ranges: [100.0, 988.8792165501785, 5000.0] data: - - - 3.2786194655978216 - - 0.0027414245150382366 - - 7.161087380779324e-06 - - -1.0803190155222457e-08 - - 4.143018369506411e-12 - - -48470.31480234436 - - 5.979336005045452 - - - 4.546063969518606 - - 0.0029191872237090697 - - -1.15486862947614e-06 - - 2.2766109912229239e-10 - - -1.709161131334096e-14 - - -48980.346162154165 - - -1.4325681051130863 - transport: - model: gas - geometry: linear - diameter: 3.763 - well-depth: 244.00106224424113 - polarizability: 2.650000000000001 - rotational-relaxation: 2.1 - note: GRI-Mech + - [3.2786194655978216, 0.0027414245150382366, 7.161087380779324e-06, -1.0803190155222457e-08, + 4.143018369506411e-12, -48470.31480234436, 5.979336005045452] + - [4.546063969518606, 0.0029191872237090697, -1.15486862947614e-06, 2.2766109912229239e-10, + -1.709161131334096e-14, -48980.346162154165, -1.4325681051130863] + transport: {model: gas, geometry: linear, diameter: 3.763, well-depth: 244.00106224424113, + polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} - name: CH2OH(18) - composition: - C: 1.0 - H: 3.0 - O: 1.0 + composition: {C: 1.0, H: 3.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 895.0204345818915 - - 5000.0 + temperature-ranges: [100.0, 895.0204345818915, 5000.0] data: - - - 3.7117315833723783 - - 0.0019312552003311794 - - 2.123343903525342e-05 - - -3.0314691853045804e-08 - - 1.2487294283351865e-11 - - -4007.4588500659574 - - 7.292051245756898 - - - 6.056341013899222 - - 0.0030216639820613593 - - 1.7253578062650515e-08 - - -6.963798357904168e-11 - - 5.183057208559647e-15 - - -4890.522419625227 - - -6.347890258784624 - transport: - model: gas - geometry: nonlinear - diameter: 3.6900000000000013 - well-depth: 417.00182525120056 - dipole: 1.7000000000000002 - rotational-relaxation: 2.0 - note: GRI-Mech + - [3.7117315833723783, 0.0019312552003311794, 2.123343903525342e-05, -3.0314691853045804e-08, + 1.2487294283351865e-11, -4007.4588500659574, 7.292051245756898] + - [6.056341013899222, 0.0030216639820613593, 1.7253578062650515e-08, -6.963798357904168e-11, + 5.183057208559647e-15, -4890.522419625227, -6.347890258784624] + transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, + dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3O(19) - composition: - C: 1.0 - H: 3.0 - O: 1.0 + composition: {C: 1.0, H: 3.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 916.8829933493292 - - 5000.0 + temperature-ranges: [100.0, 916.8829933493292, 5000.0] data: - - - 4.0013584003847065 - - -0.004156846520657055 - - 3.263547221955298e-05 - - -3.711186602810377e-08 - - 1.357094349113223e-11 - - -6.1526064014702495 - - 6.813711045465088 - - - 4.01622143064721 - - 0.006268136296920596 - - -1.580682967181555e-06 - - 2.446071670945092e-10 - - -1.703377063028599e-14 - - -449.8044912770936 - - 4.338809868552237 - transport: - model: gas - geometry: nonlinear - diameter: 3.6900000000000013 - well-depth: 417.00182525120056 - dipole: 1.7000000000000002 - rotational-relaxation: 2.0 - note: GRI-Mech + - [4.0013584003847065, -0.004156846520657055, 3.263547221955298e-05, -3.711186602810377e-08, + 1.357094349113223e-11, -6.1526064014702495, 6.813711045465088] + - [4.01622143064721, 0.006268136296920596, -1.580682967181555e-06, 2.446071670945092e-10, + -1.703377063028599e-14, -449.8044912770936, 4.338809868552237] + transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, + dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3OH(20) - composition: - C: 1.0 - H: 4.0 - O: 1.0 + composition: {C: 1.0, H: 4.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 952.1390049892523 - - 5000.0 + temperature-ranges: [100.0, 952.1390049892523, 5000.0] data: - - - 3.8949618646914814 - - -0.0007713531774978648 - - 2.6475515415217755e-05 - - -2.917936202495571e-08 - - 1.008346963305855e-11 - - -26335.854768612895 - - 6.364759271913436 - - - 3.1380783612295806 - - 0.01035420631950858 - - -3.569573151749763e-06 - - 6.2228668916139e-10 - - -4.2780555575901343e-14 - - -26551.895638316753 - - 8.087777595311078 - transport: - model: gas - geometry: nonlinear - diameter: 3.626000000000001 - well-depth: 481.802091582003 - rotational-relaxation: 1.0 - note: GRI-Mech + - [3.8949618646914814, -0.0007713531774978648, 2.6475515415217755e-05, -2.917936202495571e-08, + 1.008346963305855e-11, -26335.854768612895, 6.364759271913436] + - [3.1380783612295806, 0.01035420631950858, -3.569573151749763e-06, 6.2228668916139e-10, + -4.2780555575901343e-14, -26551.895638316753, 8.087777595311078] + transport: {model: gas, geometry: nonlinear, diameter: 3.626000000000001, well-depth: 481.802091582003, + rotational-relaxation: 1.0, note: GRI-Mech} - name: C2H(21) - composition: - C: 2.0 - H: 1.0 + composition: {C: 2.0, H: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1076.5704818206468 - - 5000.0 + temperature-ranges: [100.0, 1076.5704818206468, 5000.0] data: - - - 3.0385258829300867 - - 0.011544973952542158 - - -2.13265852063806e-05 - - 1.819350823632288e-08 - - -5.415993206993174e-12 - - 66398.01424823917 - - 5.966773012271312 - - - 4.008490886894203 - - 0.002068109058886469 - - 6.052729760746552e-08 - - -1.1771451581485252e-10 - - 1.2928683868586873e-14 - - 66529.50618863567 - - 2.796351296333425 - transport: - model: gas - geometry: linear - diameter: 4.1000000000000005 - well-depth: 209.00064369691785 - rotational-relaxation: 2.5 - note: GRI-Mech + - [3.0385258829300867, 0.011544973952542158, -2.13265852063806e-05, 1.819350823632288e-08, + -5.415993206993174e-12, 66398.01424823917, 5.966773012271312] + - [4.008490886894203, 0.002068109058886469, 6.052729760746552e-08, -1.1771451581485252e-10, + 1.2928683868586873e-14, 66529.50618863567, 2.796351296333425] + transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, + rotational-relaxation: 2.5, note: GRI-Mech} - name: C2H2(22) - composition: - C: 2.0 - H: 2.0 + composition: {C: 2.0, H: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 888.6332573698685 - - 5000.0 + temperature-ranges: [100.0, 888.6332573698685, 5000.0] data: - - - 3.035738949883715 - - 0.007712496693701177 - - 2.5345213214295086e-06 - - -1.08127265252239e-08 - - 5.507293253410737e-12 - - 25852.644682349142 - - 4.5446426540356955 - - - 5.762066268732216 - - 0.0023715503931059697 - - -1.495605027989058e-07 - - -2.1920816379730627e-11 - - 2.218242568519203e-15 - - 25094.44163581229 - - -9.8262031130909 - transport: - model: gas - geometry: linear - diameter: 4.1000000000000005 - well-depth: 209.00064369691785 - rotational-relaxation: 2.5 - note: GRI-Mech + - [3.035738949883715, 0.007712496693701177, 2.5345213214295086e-06, -1.08127265252239e-08, + 5.507293253410737e-12, 25852.644682349142, 4.5446426540356955] + - [5.762066268732216, 0.0023715503931059697, -1.495605027989058e-07, -2.1920816379730627e-11, + 2.218242568519203e-15, 25094.44163581229, -9.8262031130909] + transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, + rotational-relaxation: 2.5, note: GRI-Mech} - name: HCCO(23) - composition: - C: 2.0 - H: 1.0 - O: 1.0 + composition: {C: 2.0, H: 1.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 936.0638338156455 - - 5000.0 + temperature-ranges: [100.0, 936.0638338156455, 5000.0] data: - - - 3.4564741981105866 - - 0.010572845910406789 - - -7.359887544424862e-06 - - 7.973601023123888e-10 - - 8.645361824368292e-13 - - 22595.687979098253 - - 7.094959188530954 - - - 5.998100748851587 - - 0.0031448049708706263 - - -9.578070880754557e-07 - - 1.5562258265125954e-10 - - -1.0430954138010283e-14 - - 21969.46633246845 - - -5.802336802503179 - transport: - model: gas - geometry: nonlinear - diameter: 2.5000000000000013 - well-depth: 150.00110650441783 - rotational-relaxation: 1.0 - note: GRI-Mech + - [3.4564741981105866, 0.010572845910406789, -7.359887544424862e-06, 7.973601023123888e-10, + 8.645361824368292e-13, 22595.687979098253, 7.094959188530954] + - [5.998100748851587, 0.0031448049708706263, -9.578070880754557e-07, 1.5562258265125954e-10, + -1.0430954138010283e-14, 21969.46633246845, -5.802336802503179] + transport: {model: gas, geometry: nonlinear, diameter: 2.5000000000000013, well-depth: 150.00110650441783, + rotational-relaxation: 1.0, note: GRI-Mech} - name: C2H3(24) - composition: - C: 2.0 - H: 3.0 + composition: {C: 2.0, H: 3.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 931.962212023413 - - 5000.0 + temperature-ranges: [100.0, 931.962212023413, 5000.0] data: - - - 3.9067047590631243 - - -0.004062401870992019 - - 3.867797131347494e-05 - - -4.629759538060542e-08 - - 1.7290017979428887e-11 - - 34797.178287230156 - - 6.097892190067856 - - - 5.447967662251187 - - 0.00498355761818403 - - -1.0882055482609133e-06 - - 1.798367816959015e-10 - - -1.450958438072393e-14 - - 33829.773755408794 - - -4.878094367523621 - transport: - model: gas - geometry: nonlinear - diameter: 4.1000000000000005 - well-depth: 209.00064369691785 - rotational-relaxation: 1.0 - note: GRI-Mech + - [3.9067047590631243, -0.004062401870992019, 3.867797131347494e-05, -4.629759538060542e-08, + 1.7290017979428887e-11, 34797.178287230156, 6.097892190067856] + - [5.447967662251187, 0.00498355761818403, -1.0882055482609133e-06, 1.798367816959015e-10, + -1.450958438072393e-14, 33829.773755408794, -4.878094367523621] + transport: {model: gas, geometry: nonlinear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, + rotational-relaxation: 1.0, note: GRI-Mech} - name: CH2CO(25) - composition: - C: 2.0 - H: 2.0 - O: 1.0 + composition: {C: 2.0, H: 2.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 956.6656011892545 - - 5000.0 + temperature-ranges: [100.0, 956.6656011892545, 5000.0] data: - - - 3.527484868198769 - - 0.007083431684664057 - - 9.178099855378612e-06 - - -1.6426760109754908e-08 - - 6.711755426805425e-12 - - -7123.942572682992 - - 5.74371829305644 - - - 5.764873997589697 - - 0.0059657238881748115 - - -1.9849417709511083e-06 - - 3.5276291146959303e-10 - - -2.5163477230913927e-14 - - -7928.969043520739 - - -6.921342493299217 - transport: - model: gas - geometry: nonlinear - diameter: 3.9700000000000006 - well-depth: 436.0012277388149 - rotational-relaxation: 2.0 - note: GRI-Mech + - [3.527484868198769, 0.007083431684664057, 9.178099855378612e-06, -1.6426760109754908e-08, + 6.711755426805425e-12, -7123.942572682992, 5.74371829305644] + - [5.764873997589697, 0.0059657238881748115, -1.9849417709511083e-06, 3.5276291146959303e-10, + -2.5163477230913927e-14, -7928.969043520739, -6.921342493299217] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0, note: GRI-Mech} - name: C2H4(26) - composition: - C: 2.0 - H: 4.0 + composition: {C: 2.0, H: 4.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 940.4497705659531 - - 5000.0 + temperature-ranges: [100.0, 940.4497705659531, 5000.0] data: - - - 3.9797326352949947 - - -0.007575453789267002 - - 5.529678698868997e-05 - - -6.362143160193159e-08 - - 2.317638705628905e-11 - - 5077.461359544857 - - 4.046269426569092 - - - 5.203031247572093 - - 0.007824359839574056 - - -2.126796144827025e-06 - - 3.796814949883357e-10 - - -2.946631428179492e-14 - - 3936.265997966851 - - -6.624318742964474 - transport: - model: gas - geometry: nonlinear - diameter: 3.9710000000000005 - well-depth: 280.80075319274636 - rotational-relaxation: 1.5 - note: GRI-Mech + - [3.9797326352949947, -0.007575453789267002, 5.529678698868997e-05, -6.362143160193159e-08, + 2.317638705628905e-11, 5077.461359544857, 4.046269426569092] + - [5.203031247572093, 0.007824359839574056, -2.126796144827025e-06, 3.796814949883357e-10, + -2.946631428179492e-14, 3936.265997966851, -6.624318742964474] + transport: {model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, + rotational-relaxation: 1.5, note: GRI-Mech} - name: C2H5(27) - composition: - C: 2.0 - H: 5.0 + composition: {C: 2.0, H: 5.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 900.3099228102404 - - 5000.0 + temperature-ranges: [100.0, 900.3099228102404, 5000.0] data: - - - 3.821848556135043 - - -0.003433763143364544 - - 5.0926334047127734e-05 - - -6.202202345512878e-08 - - 2.3707738051150388e-11 - - 13066.012370104248 - - 7.616389151369181 - - - 5.156175696399722 - - 0.009431283701050461 - - -1.8194942565372616e-06 - - 2.212040128713919e-10 - - -1.434882242322594e-14 - - 12064.09587982507 - - -2.9108014724041458 - transport: - model: gas - geometry: nonlinear - diameter: 4.3020000000000005 - well-depth: 252.30104810022812 - rotational-relaxation: 1.5 - note: GRI-Mech + - [3.821848556135043, -0.003433763143364544, 5.0926334047127734e-05, -6.202202345512878e-08, + 2.3707738051150388e-11, 13066.012370104248, 7.616389151369181] + - [5.156175696399722, 0.009431283701050461, -1.8194942565372616e-06, 2.212040128713919e-10, + -1.434882242322594e-14, 12064.09587982507, -2.9108014724041458] + transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, + rotational-relaxation: 1.5, note: GRI-Mech} - name: H2O(28) - composition: - H: 2.0 - O: 1.0 + composition: {H: 2.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1130.2319853652602 - - 5000.0 + temperature-ranges: [100.0, 1130.2319853652602, 5000.0] data: - - - 4.057635244976516 - - -0.000787929225105982 - - 2.9087532150254498e-06 - - -1.4751627131997937e-09 - - 2.1283291481264233e-13 - - -30281.586610762744 - - -0.3113619340114124 - - - 2.843254544943804 - - 0.002751078821407235 - - -7.810277930349724e-07 - - 1.0724278935682e-10 - - -5.793853249378119e-15 - - -29958.61459796287 - - 5.91039666022087 - transport: - model: gas - geometry: nonlinear - diameter: 2.6050000000000004 - well-depth: 572.4019516813576 - dipole: 1.8439999999999999 - rotational-relaxation: 4.0 - note: GRI-Mech + - [4.057635244976516, -0.000787929225105982, 2.9087532150254498e-06, -1.4751627131997937e-09, + 2.1283291481264233e-13, -30281.586610762744, -0.3113619340114124] + - [2.843254544943804, 0.002751078821407235, -7.810277930349724e-07, 1.0724278935682e-10, + -5.793853249378119e-15, -29958.61459796287, 5.91039666022087] + transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, + dipole: 1.8439999999999999, rotational-relaxation: 4.0, note: GRI-Mech} - name: C(29) - composition: - C: 1.0 + composition: {C: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 4879.79935843716 - - 5000.0 + temperature-ranges: [100.0, 4879.79935843716, 5000.0] data: - - - 2.500000000525325 - - -3.0168053118223457e-12 - - 3.745821408661492e-15 - - -1.50856878452712e-18 - - 1.8662647138106804e-22 - - 85474.52470338001 - - 3.6597842044554127 - - - 4.284610711633441 - - -0.001454946491116745 - - 4.448043060261492e-07 - - -6.043596423527559e-11 - - 3.0792155132960395e-15 - - 83723.39924907302 - - -7.788373613087492 - transport: - model: gas - geometry: atom - diameter: 3.2980000000000005 - well-depth: 71.40020436655509 - note: GRI-Mech + - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, + 1.8662647138106804e-22, 85474.52470338001, 3.6597842044554127] + - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, + 3.0792155132960395e-15, 83723.39924907302, -7.788373613087492] + transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509, + note: GRI-Mech} - name: HCCOH(30) - composition: - C: 2.0 - H: 2.0 - O: 1.0 + composition: {C: 2.0, H: 2.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1009.8637012999272 - - 5000.0 + temperature-ranges: [100.0, 1009.8637012999272, 5000.0] data: - - - 3.3040942887788036 - - 0.012502409623651178 - - -3.794927006611445e-06 - - -4.463467889140594e-09 - - 2.663296445786703e-12 - - 8782.035285298029 - - 7.197158046610339 - - - 6.7124421084557255 - - 0.005148352546985302 - - -2.0007961255073056e-06 - - 3.788220622098627e-10 - - -2.7409371539817003e-14 - - 7780.241038335323 - - -10.831303171558623 - transport: - model: gas - geometry: nonlinear - diameter: 3.9700000000000006 - well-depth: 436.0012277388149 - rotational-relaxation: 2.0 - note: GRI-Mech + - [3.3040942887788036, 0.012502409623651178, -3.794927006611445e-06, -4.463467889140594e-09, + 2.663296445786703e-12, 8782.035285298029, 7.197158046610339] + - [6.7124421084557255, 0.005148352546985302, -2.0007961255073056e-06, 3.788220622098627e-10, + -2.7409371539817003e-14, 7780.241038335323, -10.831303171558623] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH2CHO(31) - composition: - C: 2.0 - H: 3.0 - O: 1.0 + composition: {C: 2.0, H: 3.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 914.2226271625849 - - 5000.0 + temperature-ranges: [100.0, 914.2226271625849, 5000.0] data: - - - 3.347130453665468 - - 0.0012881035572560081 - - 5.3995556395542196e-05 - - -7.841000105557811e-08 - - 3.2406524239757355e-11 - - -2992.843237304796 - - 8.973167218050092 - - - 11.726206662141818 - - -0.0014737830707500419 - - 2.9075381782842925e-06 - - -5.970291776561193e-10 - - 3.7030834073193464e-14 - - -5941.56000498158 - - -38.44741802663305 - transport: - model: gas - geometry: nonlinear - diameter: 3.9700000000000006 - well-depth: 436.0012277388149 - rotational-relaxation: 2.0 - note: GRI-Mech + - [3.347130453665468, 0.0012881035572560081, 5.3995556395542196e-05, -7.841000105557811e-08, + 3.2406524239757355e-11, -2992.843237304796, 8.973167218050092] + - [11.726206662141818, -0.0014737830707500419, 2.9075381782842925e-06, -5.970291776561193e-10, + 3.7030834073193464e-14, -5941.56000498158, -38.44741802663305] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3CHO(32) - composition: - C: 2.0 - H: 4.0 - O: 1.0 + composition: {C: 2.0, H: 4.0, O: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 984.2010162348785 - - 5000.0 + temperature-ranges: [100.0, 984.2010162348785, 5000.0] data: - - - 3.7007817181115157 - - 0.0003879243367704248 - - 3.869255036762792e-05 - - -4.5244259315770294e-08 - - 1.588572565028517e-11 - - -21380.908028979207 - - 9.135650995523074 - - - 4.588923116475782 - - 0.012889323028356237 - - -4.914990795914254e-06 - - 9.265013752927798e-10 - - -6.710055179135601e-14 - - -22336.026913179907 - - 0.900912176468082 - transport: - model: gas - geometry: nonlinear - diameter: 3.9700000000000006 - well-depth: 436.0012277388149 - rotational-relaxation: 2.0 - note: GRI-Mech + - [3.7007817181115157, 0.0003879243367704248, 3.869255036762792e-05, -4.5244259315770294e-08, + 1.588572565028517e-11, -21380.908028979207, 9.135650995523074] + - [4.588923116475782, 0.012889323028356237, -4.914990795914254e-06, 9.265013752927798e-10, + -6.710055179135601e-14, -22336.026913179907, 0.900912176468082] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0, note: GRI-Mech} - name: C3H8(33) - composition: - C: 3.0 - H: 8.0 + composition: {C: 3.0, H: 8.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 986.5779958684415 - - 5000.0 + temperature-ranges: [100.0, 986.5779958684415, 5000.0] data: - - - 3.0525537929988253 - - 0.012510086749717857 - - 3.793810179061001e-05 - - -5.120151479551931e-08 - - 1.870619213354291e-11 - - -14454.176256102835 - - 10.067289317471973 - - - 5.913210924575725 - - 0.02187617359087546 - - -8.176561387328486e-06 - - 1.4985342968274769e-09 - - -1.059904441878504e-13 - - -16038.898349546516 - - -8.865822899942685 - transport: - model: gas - geometry: nonlinear - diameter: 4.982000000000001 - well-depth: 266.8010668626943 - rotational-relaxation: 1.0 - note: GRI-Mech + - [3.0525537929988253, 0.012510086749717857, 3.793810179061001e-05, -5.120151479551931e-08, + 1.870619213354291e-11, -14454.176256102835, 10.067289317471973] + - [5.913210924575725, 0.02187617359087546, -8.176561387328486e-06, 1.4985342968274769e-09, + -1.059904441878504e-13, -16038.898349546516, -8.865822899942685] + transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, + rotational-relaxation: 1.0, note: GRI-Mech} - name: N2 - composition: - N: 2.0 + composition: {N: 2.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] data: - - - 3.53101 - - -0.000123661 - - -5.02999e-07 - - 2.43531e-09 - - -1.40881e-12 - - -1046.98 - - 2.96747 - - - 2.95258 - - 0.0013969 - - -4.92632e-07 - - 7.8601e-11 - - -4.60755e-15 - - -923.949 - - 5.87189 - transport: - model: gas - geometry: linear - diameter: 3.6210000000000013 - well-depth: 97.53030619382686 - polarizability: 1.7600000000000011 - rotational-relaxation: 4.0 - note: GRI-Mech + - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] + - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] + transport: {model: gas, geometry: linear, diameter: 3.6210000000000013, well-depth: 97.53030619382686, + polarizability: 1.7600000000000011, rotational-relaxation: 4.0, note: GRI-Mech} - name: Ar - composition: - Ar: 1.0 + composition: {Ar: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] data: - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 4.37967 - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 4.37967 - transport: - model: gas - geometry: atom - diameter: 3.3300000000000005 - well-depth: 136.50054988458677 - note: GRI-Mech + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677, + note: GRI-Mech} - name: He - composition: - He: 1.0 + composition: {He: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] data: - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 0.928724 - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 0.928724 - transport: - model: gas - geometry: atom - diameter: 2.5760000000000005 - well-depth: 10.2 - note: NOx2018 + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2, + note: NOx2018} - name: Ne - composition: - Ne: 1.0 + composition: {Ne: 1.0} thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] data: - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 3.35532 - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 3.35532 - transport: - model: gas - geometry: atom - diameter: 3.7580000000000005 - well-depth: 148.6 + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6, note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the - fallback method! Try improving transport databases! + fallback method! Try improving transport databases!} reactions: - equation: H2(3) + O(2) <=> H(4) + OH(5) - rate-constant: - A: 38.7 - b: 2.7 - Ea: 26191840.0 + rate-constant: {A: 38.7, b: 2.7, Ea: 26191840.0} - equation: HO2(6) + O(2) <=> O2(7) + OH(5) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) - rate-constant: - A: 9630.0 - b: 2.0 - Ea: 16736000.0 + rate-constant: {A: 9630.0, b: 2.0, Ea: 16736000.0} - equation: CH(9) + O(2) <=> CO(10) + H(4) - rate-constant: - A: 57000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 57000000000.00001, b: 0.0, Ea: 0.0} - equation: CH2(11) + O(2) <=> H(4) + HCO(12) - rate-constant: - A: 80000000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 80000000000.00002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) - rate-constant: - A: 15000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) - rate-constant: - A: 15000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} - equation: CH3(14) + O(2) <=> CH2O(15) + H(4) - rate-constant: - A: 50600000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50600000000.00001, b: 0.0, Ea: 0.0} - equation: CH4(16) + O(2) <=> CH3(14) + OH(5) - rate-constant: - A: 1020000.0000000001 - b: 1.5 - Ea: 35982400.00000001 + rate-constant: {A: 1020000.0000000001, b: 1.5, Ea: 35982400.00000001} - equation: HCO(12) + O(2) <=> CO(10) + OH(5) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: HCO(12) + O(2) <=> CO2(17) + H(4) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) - rate-constant: - A: 39000000000.00001 - b: 0.0 - Ea: 14811360.0 + rate-constant: {A: 39000000000.00001, b: 0.0, Ea: 14811360.0} - equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) - rate-constant: - A: 388.00000000000006 - b: 2.5 - Ea: 12970400.0 + rate-constant: {A: 388.00000000000006, b: 2.5, Ea: 12970400.0} - equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) - rate-constant: - A: 130.00000000000003 - b: 2.5 - Ea: 20920000.000000004 + rate-constant: {A: 130.00000000000003, b: 2.5, Ea: 20920000.000000004} - equation: C2H(21) + O(2) <=> CH(9) + CO(10) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) - rate-constant: - A: 13500.000000000002 - b: 2.0 - Ea: 7949600.000000001 + rate-constant: {A: 13500.000000000002, b: 2.0, Ea: 7949600.000000001} - equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) - rate-constant: - A: 4.600000000000001e+16 - b: -1.41 - Ea: 121126800.00000001 + rate-constant: {A: 4.600000000000001e+16, b: -1.41, Ea: 121126800.00000001} - equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) - rate-constant: - A: 6940.000000000001 - b: 2.0 - Ea: 7949600.000000001 + rate-constant: {A: 6940.000000000001, b: 2.0, Ea: 7949600.000000001} - equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) - rate-constant: - A: 12500.000000000002 - b: 1.83 - Ea: 920480.0 + rate-constant: {A: 12500.000000000002, b: 1.83, Ea: 920480.0} - equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) - rate-constant: - A: 22400000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 22400000000.000004, b: 0.0, Ea: 0.0} - equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) - rate-constant: - A: 89800.00000000001 - b: 1.92 - Ea: 23806960.000000004 + rate-constant: {A: 89800.00000000001, b: 1.92, Ea: 23806960.000000004} - equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) - rate-constant: - A: 100000000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} - equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 33472000.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 33472000.0} - equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) - rate-constant: - A: 1750000000.0000002 - b: 0.0 - Ea: 5648400.000000002 + rate-constant: {A: 1750000000.0000002, b: 0.0, Ea: 5648400.000000002} - equation: CO(10) + O2(7) <=> CO2(17) + O(2) - rate-constant: - A: 2500000000.0000005 - b: 0.0 - Ea: 199995200.0 + rate-constant: {A: 2500000000.0000005, b: 0.0, Ea: 199995200.0} - equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) - rate-constant: - A: 100000000000.00002 - b: 0.0 - Ea: 167360000.00000003 + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} - equation: H(4) + 2 O2(7) <=> HO2(6) + O2(7) - rate-constant: - A: 20800000000000.004 - b: -1.24 - Ea: 0.0 + rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} - equation: H(4) + H2O(28) + O2(7) <=> H2O(28) + HO2(6) - rate-constant: - A: 11260000000000.002 - b: -0.76 - Ea: 0.0 + rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} - equation: H(4) + O2(7) <=> O(2) + OH(5) - rate-constant: - A: 26500000000000.004 - b: -0.6707 - Ea: 71299544.00000001 + rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} - equation: 2 H(4) + H2(3) <=> 2 H2(3) - rate-constant: - A: 90000000000.00002 - b: -0.6 - Ea: 0.0 + rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} - equation: 2 H(4) + H2O(28) <=> H2(3) + H2O(28) - rate-constant: - A: 60000000000000.01 - b: -1.25 - Ea: 0.0 + rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} - equation: CO2(17) + 2 H(4) <=> CO2(17) + H2(3) - rate-constant: - A: 550000000000000.1 - b: -2.0 - Ea: 0.0 + rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} - equation: H(4) + HO2(6) <=> H2O(28) + O(2) - rate-constant: - A: 3970000000.0000005 - b: 0.0 - Ea: 2807464.0000000005 + rate-constant: {A: 3970000000.0000005, b: 0.0, Ea: 2807464.0000000005} - equation: H(4) + HO2(6) <=> H2(3) + O2(7) - rate-constant: - A: 44800000000.00001 - b: 0.0 - Ea: 4468512.000000002 + rate-constant: {A: 44800000000.00001, b: 0.0, Ea: 4468512.000000002} - equation: H(4) + HO2(6) <=> 2 OH(5) - rate-constant: - A: 84000000000.00002 - b: 0.0 - Ea: 2656840.0 + rate-constant: {A: 84000000000.00002, b: 0.0, Ea: 2656840.0} - equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) - rate-constant: - A: 12100.000000000002 - b: 2.0 - Ea: 21756800.000000004 + rate-constant: {A: 12100.000000000002, b: 2.0, Ea: 21756800.000000004} - equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 15062400.000000004 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 15062400.000000004} - equation: CH(9) + H(4) <=> C(29) + H2(3) - rate-constant: - A: 165000000000.00003 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 165000000000.00003, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH4(16) + H(4) <=> CH3(14) + H2(3) - rate-constant: - A: 660000.0000000001 - b: 1.62 - Ea: 45354560.00000001 + rate-constant: {A: 660000.0000000001, b: 1.62, Ea: 45354560.00000001} - equation: H(4) + HCO(12) <=> CO(10) + H2(3) - rate-constant: - A: 73400000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 73400000000.00002, b: 0.0, Ea: 0.0} - equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) - rate-constant: - A: 57400.000000000015 - b: 1.9 - Ea: 11472528.0 + rate-constant: {A: 57400.000000000015, b: 1.9, Ea: 11472528.0} - equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) - rate-constant: - A: 165000000.00000003 - b: 0.65 - Ea: -1188256.0 + rate-constant: {A: 165000000.00000003, b: 0.65, Ea: -1188256.0} - equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: - A: 32800000000.000004 - b: -0.09 - Ea: 2552240.0000000005 + rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} - equation: CH3O(19) + H(4) <=> CH2OH(18) + H(4) - rate-constant: - A: 41500.00000000001 - b: 1.63 - Ea: 8050016.000000002 + rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} - equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) - rate-constant: - A: 1500000000.0000002 - b: 0.5 - Ea: -460240.0 + rate-constant: {A: 1500000000.0000002, b: 0.5, Ea: -460240.0} - equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: - A: 262000000000.00003 - b: -0.23 - Ea: 4476880.0 + rate-constant: {A: 262000000000.00003, b: -0.23, Ea: 4476880.0} - equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) - rate-constant: - A: 17000.000000000004 - b: 2.1 - Ea: 20376080.0 + rate-constant: {A: 17000.000000000004, b: 2.1, Ea: 20376080.0} - equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) - rate-constant: - A: 4200.000000000001 - b: 2.1 - Ea: 20376080.0 + rate-constant: {A: 4200.000000000001, b: 2.1, Ea: 20376080.0} - equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) - rate-constant: - A: 1325.0000000000002 - b: 2.53 - Ea: 51212160.0 + rate-constant: {A: 1325.0000000000002, b: 2.53, Ea: 51212160.0} - equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) - rate-constant: - A: 2000000000.0000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 0.0} - equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) - rate-constant: - A: 115000.00000000001 - b: 1.9 - Ea: 31505520.000000004 + rate-constant: {A: 115000.00000000001, b: 1.9, Ea: 31505520.000000004} - equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) - rate-constant: - A: 100000000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} - equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 33472000.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 33472000.0} - equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) - rate-constant: - A: 11300000000.000002 - b: 0.0 - Ea: 14342752.000000002 + rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} - equation: H(4) + HCCOH(30) <=> CH2CO(25) + H(4) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - equation: H2(3) + OH(5) <=> H(4) + H2O(28) - rate-constant: - A: 216000.00000000003 - b: 1.51 - Ea: 14351120.000000002 + rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} - equation: 2 OH(5) <=> H2O(28) + O(2) - rate-constant: - A: 35.7 - b: 2.4 - Ea: -8828240.0 + rate-constant: {A: 35.7, b: 2.4, Ea: -8828240.0} - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: - A: 14500000000.000002 - b: 0.0 - Ea: -2092000.0 + rate-constant: {A: 14500000000.000002, b: 0.0, Ea: -2092000.0} duplicate: true - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: - A: 5000000000000.001 - b: 0.0 - Ea: 72508720.00000001 + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 72508720.00000001} duplicate: true - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: - A: 2000000000.0000002 - b: 0.0 - Ea: 1786568.0 + rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 1786568.0} duplicate: true - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: - A: 1700000000000000.2 - b: 0.0 - Ea: 123051440.00000001 + rate-constant: {A: 1700000000000000.2, b: 0.0, Ea: 123051440.00000001} duplicate: true - equation: C(29) + OH(5) <=> CO(10) + H(4) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: CH(9) + OH(5) <=> H(4) + HCO(12) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) - rate-constant: - A: 11300.000000000002 - b: 2.0 - Ea: 12552000.0 + rate-constant: {A: 11300.000000000002, b: 2.0, Ea: 12552000.0} - equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) - rate-constant: - A: 56000.00000000001 - b: 1.6 - Ea: 22677280.000000004 + rate-constant: {A: 56000.00000000001, b: 1.6, Ea: 22677280.000000004} - equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) - rate-constant: - A: 644000000000000.1 - b: -1.34 - Ea: 5928728.0 + rate-constant: {A: 644000000000000.1, b: -1.34, Ea: 5928728.0} - equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) - rate-constant: - A: 100000.00000000001 - b: 1.6 - Ea: 13054080.000000002 + rate-constant: {A: 100000.00000000001, b: 1.6, Ea: 13054080.000000002} - equation: CO(10) + OH(5) <=> CO2(17) + H(4) - rate-constant: - A: 47600.00000000001 - b: 1.228 - Ea: 292880.0 + rate-constant: {A: 47600.00000000001, b: 1.228, Ea: 292880.0} - equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) - rate-constant: - A: 3430000.0000000005 - b: 1.18 - Ea: -1870248.0000000002 + rate-constant: {A: 3430000.0000000005, b: 1.18, Ea: -1870248.0000000002} - equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: - A: 5000000000.000001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: - A: 5000000000.000001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) - rate-constant: - A: 1440.0000000000002 - b: 2.0 - Ea: -3514560.0000000005 + rate-constant: {A: 1440.0000000000002, b: 2.0, Ea: -3514560.0000000005} - equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) - rate-constant: - A: 6300.000000000001 - b: 2.0 - Ea: 6276000.0 + rate-constant: {A: 6300.000000000001, b: 2.0, Ea: 6276000.0} - equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) - rate-constant: - A: 2.1800000000000005e-07 - b: 4.5 - Ea: -4184000.0 + rate-constant: {A: 2.1800000000000005e-07, b: 4.5, Ea: -4184000.0} - equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) - rate-constant: - A: 504.0000000000001 - b: 2.3 - Ea: 56484000.0 + rate-constant: {A: 504.0000000000001, b: 2.3, Ea: 56484000.0} - equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) - rate-constant: - A: 33700.0 - b: 2.0 - Ea: 58576000.00000001 + rate-constant: {A: 33700.0, b: 2.0, Ea: 58576000.00000001} - equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) - rate-constant: - A: 4.830000000000001e-07 - b: 4.0 - Ea: -8368000.0 + rate-constant: {A: 4.830000000000001e-07, b: 4.0, Ea: -8368000.0} - equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) - rate-constant: - A: 5000000000.000001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) - rate-constant: - A: 3600.0000000000005 - b: 2.0 - Ea: 10460000.000000002 + rate-constant: {A: 3600.0000000000005, b: 2.0, Ea: 10460000.000000002} - equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) - rate-constant: - A: 3540.0000000000005 - b: 2.12 - Ea: 3640080.0 + rate-constant: {A: 3540.0000000000005, b: 2.12, Ea: 3640080.0} - equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) - rate-constant: - A: 7500000000.000001 - b: 0.0 - Ea: 8368000.0 + rate-constant: {A: 7500000000.000001, b: 0.0, Ea: 8368000.0} - equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: - A: 130000000.00000001 - b: 0.0 - Ea: -6819920.000000001 + rate-constant: {A: 130000000.00000001, b: 0.0, Ea: -6819920.000000001} duplicate: true - equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: - A: 420000000000.00006 - b: 0.0 - Ea: 50208000.0 + rate-constant: {A: 420000000000.00006, b: 0.0, Ea: 50208000.0} duplicate: true - equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) - rate-constant: - A: 20000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) - rate-constant: - A: 1000000000.0000001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 1000000000.0000001, b: 0.0, Ea: 0.0} - equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) - rate-constant: - A: 37800000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 37800000000.00001, b: 0.0, Ea: 0.0} - equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) - rate-constant: - A: 150000000000.00003 - b: 0.0 - Ea: 98742400.00000003 + rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 98742400.00000003} - equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) - rate-constant: - A: 5600.000000000001 - b: 2.0 - Ea: 50208000.0 + rate-constant: {A: 5600.000000000001, b: 2.0, Ea: 50208000.0} - equation: C(29) + O2(7) <=> CO(10) + O(2) - rate-constant: - A: 58000000000.00001 - b: 0.0 - Ea: 2409984.0 + rate-constant: {A: 58000000000.00001, b: 0.0, Ea: 2409984.0} - equation: C(29) + CH2(11) <=> C2H(21) + H(4) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: C(29) + CH3(14) <=> C2H2(22) + H(4) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: CH(9) + O2(7) <=> HCO(12) + O(2) - rate-constant: - A: 67100000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 67100000000.00001, b: 0.0, Ea: 0.0} - equation: CH(9) + H2(3) <=> CH2(11) + H(4) - rate-constant: - A: 108000000000.00002 - b: 0.0 - Ea: 13012240.000000002 + rate-constant: {A: 108000000000.00002, b: 0.0, Ea: 13012240.000000002} - equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) - rate-constant: - A: 5710000000.000001 - b: 0.0 - Ea: -3158920.0 + rate-constant: {A: 5710000000.000001, b: 0.0, Ea: -3158920.0} - equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) - rate-constant: - A: 40000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} - equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) - rate-constant: - A: 60000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 60000000000.00001, b: 0.0, Ea: 0.0} - equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) - rate-constant: - A: 190000000000.00003 - b: 0.0 - Ea: 66073728.00000001 + rate-constant: {A: 190000000000.00003, b: 0.0, Ea: 66073728.00000001} - equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) - rate-constant: - A: 94600000000.00002 - b: 0.0 - Ea: -2154760.0 + rate-constant: {A: 94600000000.00002, b: 0.0, Ea: -2154760.0} - equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) - rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) - rate-constant: - A: 5000000000.000001 - b: 0.0 - Ea: 6276000.0 + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 6276000.0} - equation: CH2(11) + H2(3) <=> CH3(14) + H(4) - rate-constant: - A: 500.0000000000001 - b: 2.0 - Ea: 30250320.0 + rate-constant: {A: 500.0000000000001, b: 2.0, Ea: 30250320.0} - equation: 2 CH2(11) <=> C2H2(22) + H2(3) - rate-constant: - A: 1600000000000.0002 - b: 0.0 - Ea: 49973696.00000001 + rate-constant: {A: 1600000000000.0002, b: 0.0, Ea: 49973696.00000001} - equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: - A: 40000000000.00001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} - equation: CH2(11) + CH4(16) <=> 2 CH3(14) - rate-constant: - A: 2460.0000000000005 - b: 2.0 - Ea: 34601680.0 + rate-constant: {A: 2460.0000000000005, b: 2.0, Ea: 34601680.0} - equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) - rate-constant: - A: 28000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 28000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) - rate-constant: - A: 12000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) - rate-constant: - A: 70000000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + H2O(28) <=> CH2(11) + H2O(28) - rate-constant: - A: 30000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: - A: 12000000000.000002 - b: 0.0 - Ea: -2384880.0 + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} - equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) - rate-constant: - A: 16000000000.000002 - b: 0.0 - Ea: -2384880.0 + rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} - equation: CH2(S)(13) + CO(10) <=> CH2(11) + CO(10) - rate-constant: - A: 9000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + CO2(17) <=> CH2(11) + CO2(17) - rate-constant: - A: 7000000000.000001 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) - rate-constant: - A: 14000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) - rate-constant: - A: 40000000000.00001 - b: 0.0 - Ea: -2301200.0000000005 + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: -2301200.0000000005} - equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) - rate-constant: - A: 35600000000.00001 - b: 0.0 - Ea: 127528320.00000001 + rate-constant: {A: 35600000000.00001, b: 0.0, Ea: 127528320.00000001} - equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) - rate-constant: - A: 2310000000.0000005 - b: 0.0 - Ea: 84997960.0 + rate-constant: {A: 2310000000.0000005, b: 0.0, Ea: 84997960.0} - equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) - rate-constant: - A: 24.500000000000004 - b: 2.47 - Ea: 21673120.000000004 + rate-constant: {A: 24.500000000000004, b: 2.47, Ea: 21673120.000000004} - equation: 2 CH3(14) <=> C2H5(27) + H(4) - rate-constant: - A: 6840000000.000001 - b: 0.1 - Ea: 44350400.0 + rate-constant: {A: 6840000000.000001, b: 0.1, Ea: 44350400.0} - equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) - rate-constant: - A: 26480000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 26480000000.000004, b: 0.0, Ea: 0.0} - equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) - rate-constant: - A: 3.3200000000000003 - b: 2.81 - Ea: 24518240.0 + rate-constant: {A: 3.3200000000000003, b: 2.81, Ea: 24518240.0} - equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) - rate-constant: - A: 30000.000000000004 - b: 1.5 - Ea: 41588960.0 + rate-constant: {A: 30000.000000000004, b: 1.5, Ea: 41588960.0} - equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) - rate-constant: - A: 10000.000000000002 - b: 1.5 - Ea: 41588960.0 + rate-constant: {A: 10000.000000000002, b: 1.5, Ea: 41588960.0} - equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) - rate-constant: - A: 227.00000000000003 - b: 2.0 - Ea: 38492800.0 + rate-constant: {A: 227.00000000000003, b: 2.0, Ea: 38492800.0} - equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) - rate-constant: - A: 6140.000000000002 - b: 1.74 - Ea: 43722800.0 + rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} - equation: H2O(28) + HCO(12) <=> CO(10) + H(4) + H2O(28) - rate-constant: - A: 1500000000000000.2 - b: -1.0 - Ea: 71128000.0 + rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} - equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) - rate-constant: - A: 13450000000.000002 - b: 0.0 - Ea: 1673600.0000000002 + rate-constant: {A: 13450000000.000002, b: 0.0, Ea: 1673600.0000000002} - equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: - A: 18000000000.000004 - b: 0.0 - Ea: 3765600.000000001 + rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 3765600.000000001} - equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: - A: 4.2800000000000005e-16 - b: 7.6 - Ea: -14769520.000000002 + rate-constant: {A: 4.2800000000000005e-16, b: 7.6, Ea: -14769520.000000002} - equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: -3158920.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: -3158920.0} - equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) - rate-constant: - A: 56800000.00000001 - b: 0.9 - Ea: 8338712.000000001 + rate-constant: {A: 56800000.00000001, b: 0.9, Ea: 8338712.000000001} - equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) - rate-constant: - A: 45800000000000.01 - b: -1.39 - Ea: 4246760.0 + rate-constant: {A: 45800000000000.01, b: -1.39, Ea: 4246760.0} - equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) - rate-constant: - A: 840000000.0000001 - b: 0.0 - Ea: 16213000.000000002 + rate-constant: {A: 840000000.0000001, b: 0.0, Ea: 16213000.000000002} - equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) - rate-constant: - A: 3200000000.0000005 - b: 0.0 - Ea: 3573136.0 + rate-constant: {A: 3200000000.0000005, b: 0.0, Ea: 3573136.0} - equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) - rate-constant: - A: 10000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) - rate-constant: - A: 33700000000.000008 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 33700000000.000008, b: 0.0, Ea: 0.0} - equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) - rate-constant: - A: 6700.000000000001 - b: 1.83 - Ea: 920480.0 + rate-constant: {A: 6700.000000000001, b: 1.83, Ea: 920480.0} - equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) - rate-constant: - A: 109600000000.00002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 109600000000.00002, b: 0.0, Ea: 0.0} - equation: CH3(14) + OH(5) => CH2O(15) + H2(3) - rate-constant: - A: 8000000.000000001 - b: 0.5 - Ea: -7342920.0 + rate-constant: {A: 8000000.000000001, b: 0.5, Ea: -7342920.0} - equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) - rate-constant: - A: 5800000000.000001 - b: 0.0 - Ea: 6276000.0 + rate-constant: {A: 5800000000.000001, b: 0.0, Ea: 6276000.0} - equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) - rate-constant: - A: 2400000000.0000005 - b: 0.0 - Ea: 6276000.0 + rate-constant: {A: 2400000000.0000005, b: 0.0, Ea: 6276000.0} - equation: 2 CH2(11) => C2H2(22) + 2 H(4) - rate-constant: - A: 200000000000.00003 - b: 0.0 - Ea: 45977976.0 + rate-constant: {A: 200000000000.00003, b: 0.0, Ea: 45977976.0} - equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) - rate-constant: - A: 68200000.00000001 - b: 0.25 - Ea: -3912040.0000000005 + rate-constant: {A: 68200000.00000001, b: 0.25, Ea: -3912040.0000000005} - equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) - rate-constant: - A: 303000000.00000006 - b: 0.29 - Ea: 46024.00000000001 + rate-constant: {A: 303000000.00000006, b: 0.29, Ea: 46024.00000000001} - equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) - rate-constant: - A: 1337.0000000000002 - b: 1.61 - Ea: -1606656.0000000002 + rate-constant: {A: 1337.0000000000002, b: 1.61, Ea: -1606656.0000000002} - equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) - rate-constant: - A: 2920000000.0000005 - b: 0.0 - Ea: 7564672.000000002 + rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} - equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) - rate-constant: - A: 2920000000.0000005 - b: 0.0 - Ea: 7564672.000000002 + rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} - equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) - rate-constant: - A: 30100000000.000004 - b: 0.0 - Ea: 163803600.0 + rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 163803600.0} - equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) - rate-constant: - A: 2050000.0000000005 - b: 1.16 - Ea: 10062520.0 + rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} - equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) - rate-constant: - A: 2050000.0000000005 - b: 1.16 - Ea: 10062520.0 + rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} - equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) - rate-constant: - A: 23430000.000000004 - b: 0.73 - Ea: -4656792.0 + rate-constant: {A: 23430000.000000004, b: 0.73, Ea: -4656792.0} - equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) - rate-constant: - A: 3010000000.0000005 - b: 0.0 - Ea: 49885832.0 + rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} - equation: CH3(14) + CH3CHO(32) => CH3(14) + CH4(16) + CO(10) - rate-constant: - A: 2720.0000000000005 - b: 1.77 - Ea: 24769280.000000004 + rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} - equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) - rate-constant: - A: 150000000000.00003 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) - rate-constant: - A: 18100000.000000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) - rate-constant: - A: 23500000.000000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 23500000.000000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) - rate-constant: - A: 22000000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 22000000000.000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) - rate-constant: - A: 11000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 11000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) - rate-constant: - A: 12000000000.000002 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) - rate-constant: - A: 30100000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 0.0} - equation: 2 O(2) + M <=> O2(7) + M type: three-body - rate-constant: - A: 120000000000.00002 - b: -1.0 - Ea: 0.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.4 - CH4(16): 2.0 - CO2(17): 3.6 - H2O(28): 15.4 - Ar: 0.83 + rate-constant: {A: 120000000000.00002, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, + Ar: 0.83} - equation: H(4) + O(2) + M <=> OH(5) + M type: three-body - rate-constant: - A: 500000000000.0001 - b: -1.0 - Ea: 0.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + rate-constant: {A: 500000000000.0001, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: H(4) + O2(7) + M <=> HO2(6) + M type: three-body - rate-constant: - A: 2800000000000.0005 - b: -0.86 - Ea: 0.0 - efficiencies: - ethane(1): 1.5 - O2(7): 0.0 - CO2(17): 1.5 - H2O(28): 0.0 - N2: 0.0 - Ar: 0.0 + rate-constant: {A: 2800000000000.0005, b: -0.86, Ea: 0.0} + efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, + Ar: 0.0} - equation: 2 H(4) + M <=> H2(3) + M type: three-body - rate-constant: - A: 1000000000000.0002 - b: -1.0 - Ea: 0.0 - efficiencies: - ethane(1): 3.0 - H2(3): 0.0 - CH4(16): 2.0 - CO2(17): 0.0 - H2O(28): 0.0 - Ar: 0.63 + rate-constant: {A: 1000000000000.0002, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, + Ar: 0.63} - equation: H(4) + OH(5) + M <=> H2O(28) + M type: three-body - rate-constant: - A: 2.2000000000000004e+16 - b: -2.0 - Ea: 0.0 - efficiencies: - ethane(1): 3.0 - H2(3): 0.73 - CH4(16): 2.0 - H2O(28): 3.65 - Ar: 0.38 + rate-constant: {A: 2.2000000000000004e+16, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} - equation: HCO(12) + M <=> CO(10) + H(4) + M type: three-body - rate-constant: - A: 187000000000000.03 - b: -1.0 - Ea: 71128000.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 0.0 + rate-constant: {A: 187000000000000.03, b: -1.0, Ea: 71128000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} - equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) type: falloff - low-P-rate-constant: - A: 602000000.0000001 - b: 0.0 - Ea: 12552000.0 - high-P-rate-constant: - A: 18000000.000000004 - b: 0.0 - Ea: 9978840.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - O2(7): 6.0 - CH4(16): 2.0 - CO2(17): 3.5 - H2O(28): 6.0 - Ar: 0.5 + low-P-rate-constant: {A: 602000000.0000001, b: 0.0, Ea: 12552000.0} + high-P-rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 9978840.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, + H2O(28): 6.0, Ar: 0.5} - equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) type: falloff - low-P-rate-constant: - A: 1.0400000000000002e+20 - b: -2.76 - Ea: 6694400.000000001 - high-P-rate-constant: - A: 600000000000.0001 - b: 0.0 - Ea: 0.0 - Troe: - A: 0.562 - T3: 91.0 - T1: 5836.0 - T2: 8552.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 1.0400000000000002e+20, b: -2.76, Ea: 6694400.000000001} + high-P-rate-constant: {A: 600000000000.0001, b: 0.0, Ea: 0.0} + Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) type: falloff - low-P-rate-constant: - A: 2.6200000000000006e+27 - b: -4.76 - Ea: 10208960.000000002 - high-P-rate-constant: - A: 13900000000000.002 - b: -0.534 - Ea: 2242624.0000000005 - Troe: - A: 0.783 - T3: 74.0 - T1: 2941.0 - T2: 6964.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 3.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2.6200000000000006e+27, b: -4.76, Ea: 10208960.000000002} + high-P-rate-constant: {A: 13900000000000.002, b: -0.534, Ea: 2242624.0000000005} + Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) type: falloff - low-P-rate-constant: - A: 2.4700000000000005e+18 - b: -2.57 - Ea: 1778200.0 - high-P-rate-constant: - A: 1090000000.0000002 - b: 0.48 - Ea: -1087840.0000000005 - Troe: - A: 0.7824 - T3: 271.0 - T1: 2755.0 - T2: 6570.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2.4700000000000005e+18, b: -2.57, Ea: 1778200.0} + high-P-rate-constant: {A: 1090000000.0000002, b: 0.48, Ea: -1087840.0000000005} + Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) type: falloff - low-P-rate-constant: - A: 1.2700000000000002e+26 - b: -4.82 - Ea: 27321520.0 - high-P-rate-constant: - A: 540000000.0000001 - b: 0.454 - Ea: 15062400.000000004 - Troe: - A: 0.7187 - T3: 103.00000000000001 - T1: 1291.0 - T2: 4160.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 1.2700000000000002e+26, b: -4.82, Ea: 27321520.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 15062400.000000004} + Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) type: falloff - low-P-rate-constant: - A: 2.2000000000000006e+24 - b: -4.8 - Ea: 23263040.0 - high-P-rate-constant: - A: 540000000.0000001 - b: 0.454 - Ea: 10878400.000000002 - Troe: - A: 0.758 - T3: 94.0 - T1: 1555.0 - T2: 4200.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 2.2000000000000006e+24, b: -4.8, Ea: 23263040.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 10878400.000000002} + Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: - A: 4.360000000000001e+25 - b: -4.65 - Ea: 21254720.0 - high-P-rate-constant: - A: 1055000000.0000002 - b: 0.5 - Ea: 359824.0 - Troe: - A: 0.6 - T3: 100.0 - T1: 90000.0 - T2: 10000.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 4.360000000000001e+25, b: -4.65, Ea: 21254720.0} + high-P-rate-constant: {A: 1055000000.0000002, b: 0.5, Ea: 359824.0} + Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: - A: 4.660000000000001e+35 - b: -7.44 - Ea: 58910720.0 - high-P-rate-constant: - A: 2430000000.0000005 - b: 0.515 - Ea: 209200.00000000003 - Troe: - A: 0.7 - T3: 100.0 - T1: 90000.0 - T2: 10000.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 4.660000000000001e+35, b: -7.44, Ea: 58910720.0} + high-P-rate-constant: {A: 2430000000.0000005, b: 0.515, Ea: 209200.00000000003} + Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) type: falloff - low-P-rate-constant: - A: 3.750000000000001e+27 - b: -4.8 - Ea: 7949600.000000001 - high-P-rate-constant: - A: 100000000000000.02 - b: -1.0 - Ea: 0.0 - Troe: - A: 0.6464 - T3: 132.0 - T1: 1315.0 - T2: 5566.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 3.750000000000001e+27, b: -4.8, Ea: 7949600.000000001} + high-P-rate-constant: {A: 100000000000000.02, b: -1.0, Ea: 0.0} + Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) type: falloff - low-P-rate-constant: - A: 3.8000000000000006e+34 - b: -7.27 - Ea: 30208480.0 - high-P-rate-constant: - A: 5600000000.000001 - b: 0.0 - Ea: 10041600.0 - Troe: - A: 0.7507 - T3: 98.50000000000001 - T1: 1302.0 - T2: 4167.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 3.8000000000000006e+34, b: -7.27, Ea: 30208480.0} + high-P-rate-constant: {A: 5600000000.000001, b: 0.0, Ea: 10041600.0} + Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) type: falloff - low-P-rate-constant: - A: 1.4000000000000004e+24 - b: -3.86 - Ea: 13890880.000000004 - high-P-rate-constant: - A: 6080000000.000001 - b: 0.27 - Ea: 1171520.0 - Troe: - A: 0.782 - T3: 207.49999999999997 - T1: 2663.0 - T2: 6095.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 1.4000000000000004e+24, b: -3.86, Ea: 13890880.000000004} + high-P-rate-constant: {A: 6080000000.000001, b: 0.27, Ea: 1171520.0} + Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) type: falloff - low-P-rate-constant: - A: 6.0000000000000005e+35 - b: -7.62 - Ea: 29162480.0 - high-P-rate-constant: - A: 540000000.0000001 - b: 0.454 - Ea: 7614880.000000001 - Troe: - A: 0.9753 - T3: 209.99999999999997 - T1: 983.9999999999999 - T2: 4374.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 6.0000000000000005e+35, b: -7.62, Ea: 29162480.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 7614880.000000001} + Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) type: falloff - low-P-rate-constant: - A: 1.9900000000000005e+35 - b: -7.08 - Ea: 27970040.0 - high-P-rate-constant: - A: 521000000000000.06 - b: -0.99 - Ea: 6610720.0 - Troe: - A: 0.8422 - T3: 125.0 - T1: 2219.0 - T2: 6882.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 1.9900000000000005e+35, b: -7.08, Ea: 27970040.0} + high-P-rate-constant: {A: 521000000000000.06, b: -0.99, Ea: 6610720.0} + Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) type: falloff - low-P-rate-constant: - A: 5.07e+21 - b: -3.42 - Ea: 352920400.0 - high-P-rate-constant: - A: 43000.00000000001 - b: 1.5 - Ea: 333046400.0 - Troe: - A: 0.932 - T3: 197.00000000000003 - T1: 1540.0 - T2: 10300.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 5.07e+21, b: -3.42, Ea: 352920400.0} + high-P-rate-constant: {A: 43000.00000000001, b: 1.5, Ea: 333046400.0} + Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: 2 OH(5) (+M) <=> H2O2(8) (+M) type: falloff - low-P-rate-constant: - A: 2300000000000.0005 - b: -0.9 - Ea: -7112800.0 - high-P-rate-constant: - A: 74000000000.00002 - b: -0.37 - Ea: 0.0 - Troe: - A: 0.7346 - T3: 94.0 - T1: 1756.0 - T2: 5182.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2300000000000.0005, b: -0.9, Ea: -7112800.0} + high-P-rate-constant: {A: 74000000000.00002, b: -0.37, Ea: 0.0} + Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: - A: 4.000000000000001e+30 - b: -5.92 - Ea: 13137760.0 - high-P-rate-constant: - A: 2790000000000000.5 - b: -1.43 - Ea: 5564720.0 - Troe: - A: 0.412 - T3: 195.0 - T1: 5900.0 - T2: 6394.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 4.000000000000001e+30, b: -5.92, Ea: 13137760.0} + high-P-rate-constant: {A: 2790000000000000.5, b: -1.43, Ea: 5564720.0} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) type: falloff - low-P-rate-constant: - A: 2.6900000000000003e+22 - b: -3.74 - Ea: 8100224.000000001 - high-P-rate-constant: - A: 50000000000.00001 - b: 0.0 - Ea: 0.0 - Troe: - A: 0.5757 - T3: 237.00000000000003 - T1: 1652.0 - T2: 5069.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2.6900000000000003e+22, b: -3.74, Ea: 8100224.000000001} + high-P-rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) type: falloff - low-P-rate-constant: - A: 2.6900000000000006e+27 - b: -5.11 - Ea: 29685480.0 - high-P-rate-constant: - A: 810000000.0000001 - b: 0.5 - Ea: 18869840.000000004 - Troe: - A: 0.5907 - T3: 275.0 - T1: 1226.0 - T2: 5185.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2.6900000000000006e+27, b: -5.11, Ea: 29685480.0} + high-P-rate-constant: {A: 810000000.0000001, b: 0.5, Ea: 18869840.000000004} + Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: - A: 1.88e+32 - b: -6.36 - Ea: 21087360.0 - high-P-rate-constant: - A: 482000000000000.06 - b: -1.16 - Ea: 4790680.000000001 - Troe: - A: 0.6027 - T3: 208.0 - T1: 3921.9999999999995 - T2: 10180.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 + low-P-rate-constant: {A: 1.88e+32, b: -6.36, Ea: 21087360.0} + high-P-rate-constant: {A: 482000000000000.06, b: -1.16, Ea: 4790680.000000001} + Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: 2 CH3(14) (+M) <=> ethane(1) (+M) type: falloff - low-P-rate-constant: - A: 3.400000000000001e+35 - b: -7.03 - Ea: 11556208.000000002 - high-P-rate-constant: - A: 67700000000000.01 - b: -1.18 - Ea: 2736336.000000001 - Troe: - A: 0.619 - T3: 73.2 - T1: 1180.0 - T2: 9999.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 3.400000000000001e+35, b: -7.03, Ea: 11556208.000000002} + high-P-rate-constant: {A: 67700000000000.01, b: -1.18, Ea: 2736336.000000001} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) type: falloff - low-P-rate-constant: - A: 1.5800000000000006e+48 - b: -9.3 - Ea: 409195200.0 - high-P-rate-constant: - A: 8000000000000.0 - b: 0.44 - Ea: 363045680.00000006 - Troe: - A: 0.7345 - T3: 180.0 - T1: 1035.0 - T2: 5417.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 1.5800000000000006e+48, b: -9.3, Ea: 409195200.0} + high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045680.00000006} + Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) type: falloff - low-P-rate-constant: - A: 4.820000000000001e+19 - b: -2.8 - Ea: 2468560.0000000005 - high-P-rate-constant: - A: 1970000000.0000002 - b: 0.43 - Ea: -1548080.0000000002 - Troe: - A: 0.578 - T3: 122.0 - T1: 2535.0 - T2: 9365.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 4.820000000000001e+19, b: -2.8, Ea: 2468560.0000000005} + high-P-rate-constant: {A: 1970000000.0000002, b: 0.43, Ea: -1548080.0000000002} + Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) type: falloff - low-P-rate-constant: - A: 1.0120000000000002e+36 - b: -7.63 - Ea: 16125136.000000002 - high-P-rate-constant: - A: 486500000.00000006 - b: 0.422 - Ea: -7342920.0 - Troe: - A: 0.465 - T3: 201.0 - T1: 1772.9999999999998 - T2: 5333.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 1.0120000000000002e+36, b: -7.63, Ea: 16125136.000000002} + high-P-rate-constant: {A: 486500000.00000006, b: 0.422, Ea: -7342920.0} + Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) type: falloff - low-P-rate-constant: - A: 2.7100000000000003e+68 - b: -16.82 - Ea: 54663960.00000001 - high-P-rate-constant: - A: 9430000000.000002 - b: 0.0 - Ea: 0.0 - Troe: - A: 0.1527 - T3: 291.0 - T1: 2742.0 - T2: 7748.0 - efficiencies: - ethane(1): 3.0 - H2(3): 2.0 - CH4(16): 2.0 - CO2(17): 2.0 - H2O(28): 6.0 - Ar: 0.7 + low-P-rate-constant: {A: 2.7100000000000003e+68, b: -16.82, Ea: 54663960.00000001} + high-P-rate-constant: {A: 9430000000.000002, b: 0.0, Ea: 0.0} + Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} - equation: H(4) + HO2(6) <=> H2O2(8) - rate-constant: - A: 5250690.0 - b: 1.27262 - Ea: 0.0 + rate-constant: {A: 5250690.0, b: 1.27262, Ea: 0.0} - equation: CH(9) + H(4) <=> CH2(S)(13) - rate-constant: - A: 53700000000.0 - b: 0.15395 - Ea: 0.0 + rate-constant: {A: 53700000000.0, b: 0.15395, Ea: 0.0} - equation: H(4) + HCCO(23) <=> CH2CO(25) - rate-constant: - A: 11386000000.0 - b: 0.308956 - Ea: 0.0 + rate-constant: {A: 11386000000.0, b: 0.308956, Ea: 0.0} - equation: C2H(21) + OH(5) <=> HCCOH(30) - rate-constant: - A: 77000000000.0 - b: 4.95181e-08 - Ea: 0.0 + rate-constant: {A: 77000000000.0, b: 4.95181e-08, Ea: 0.0} - equation: H(4) + HCCO(23) <=> HCCOH(30) - rate-constant: - A: 2805150000.0 - b: 0.314888 - Ea: 0.0 + rate-constant: {A: 2805150000.0, b: 0.314888, Ea: 0.0} - equation: CH3(14) + HCO(12) <=> CH3CHO(32) - rate-constant: - A: 18100000000.000004 - b: 0.0 - Ea: 0.0 + rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH3CHO(32) - rate-constant: - A: 78286700000.0 - b: 0.0631113 - Ea: 0.0 + rate-constant: {A: 78286700000.0, b: 0.0631113, Ea: 0.0} - equation: 2 CH(9) <=> C2H2(22) - rate-constant: - A: 99813000.0 - b: 0.610916 - Ea: 0.0 + rate-constant: {A: 99813000.0, b: 0.610916, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml index 5fe076b5ff5..bf4dcac99ac 100644 --- a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml @@ -1,7 +1,7 @@ generator: ck2yaml input-files: [chem.inp, tran.dat] cantera-version: 2.6.0 -date: Fri, 06 Feb 2026 13:36:11 -0500 +date: Sat, 07 Feb 2026 23:36:06 -0500 units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} @@ -1015,12 +1015,12 @@ reactions: - equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 type: three-body rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} - efficiencies: {H2O(28): 0.0, O2(7): 0.0, N2: 0.0, Ar: 0.0, CO2(17): 1.5, - ethane(1): 1.5} + efficiencies: {CO2(17): 1.5, N2: 0.0, ethane(1): 1.5, O2(7): 0.0, H2O(28): 0.0, + Ar: 0.0} - equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 type: three-body rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, + efficiencies: {H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, Ar: 0.63} - equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 type: three-body @@ -1036,8 +1036,8 @@ reactions: type: falloff low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, ethane(1): 3.0, - O2(7): 6.0, Ar: 0.5} + efficiencies: {Ar: 0.5, CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, + ethane(1): 3.0, O2(7): 6.0} - equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 type: falloff low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} @@ -1057,15 +1057,15 @@ reactions: low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} - efficiencies: {H2O(28): 6.0, H2(3): 2.0, Ar: 0.7, CO2(17): 2.0, ethane(1): 3.0, - CH4(16): 2.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} - equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 type: falloff low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, H2(3): 2.0, + CH4(16): 2.0} - equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 type: falloff low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} @@ -1085,15 +1085,15 @@ reactions: low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, H2O(28): 6.0} - equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 type: falloff low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, + H2(3): 2.0, Ar: 0.7} - equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 type: falloff low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} @@ -1106,15 +1106,15 @@ reactions: low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} - efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} - equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 type: falloff low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, CH4(16): 2.0, + H2(3): 2.0, Ar: 0.7} - equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 type: falloff low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} @@ -1134,8 +1134,8 @@ reactions: low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, H2O(28): 6.0, - Ar: 0.7, CH4(16): 2.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} - equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 type: falloff low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} @@ -1162,8 +1162,8 @@ reactions: low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {H2(3): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, + CH4(16): 2.0} - equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 type: falloff low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} @@ -1183,8 +1183,8 @@ reactions: low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, H2O(28): 6.0, ethane(1): 3.0, - H2(3): 2.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, + H2O(28): 6.0, Ar: 0.7} - equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 type: falloff low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} From a20e68ed8055a4a6d5f1e4bdffe9dc686ff29604 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 9 Feb 2026 23:39:10 -0500 Subject: [PATCH 427/700] [yaml_cantera] Add test for species definition matching. --- test/rmgpy/yaml_canteraTest.py | 62 ++++++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index 217349f1898..c48939bfe5e 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -121,6 +121,68 @@ def testElementsMatch(self): [e['atomic-weight'] for e in rmg_elements], abs=1e-3 ), "YAML files have different element atomic weights." + def testSpeciesMatch(self): + """Test that species definitions match between the two YAML files.""" + species1 = {s['name']: s for s in self.yaml1['species']} + species2 = {s['name']: s for s in self.yaml2['species']} + assert species1.keys() == species2.keys(), "Species names do not match." + + for name in species1: + s1 = species1[name] + s2 = species2[name] + + # Composition: ck2yaml uses int values, RMG uses float + assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \ + f"Composition mismatch for {name}." + + # Thermo model + assert s1['thermo']['model'] == s2['thermo']['model'], \ + f"Thermo model mismatch for {name}." + + # Temperature ranges (ck2yaml rounds, RMG keeps full precision) + if 'temperature-ranges' in s1['thermo'] and 'temperature-ranges' in s2['thermo']: + assert s1['thermo']['temperature-ranges'] == pytest.approx( + s2['thermo']['temperature-ranges'], rel=1e-4 + ), f"Temperature ranges mismatch for {name}." + + # Thermo polynomial data + if 'data' in s1['thermo'] and 'data' in s2['thermo']: + assert len(s1['thermo']['data']) == len(s2['thermo']['data']), \ + f"Number of thermo polynomial ranges differs for {name}." + for i, (poly1, poly2) in enumerate(zip(s1['thermo']['data'], s2['thermo']['data'])): + assert poly1 == pytest.approx(poly2, rel=1e-4), \ + f"Thermo polynomial {i} mismatch for {name}." + # Ideally thermo data would have notes. + + # RMG includes reference-pressure but ck2yaml does not (when it's non-default) + # (no assertion needed, just noting the known difference) + + # Transport data + assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}." + if 'transport' in s1 and 'transport' in s2: + t1 = s1['transport'] + t2 = s2['transport'] + assert t1['model'] == t2['model'], f"Transport model mismatch for {name}." + assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}." + assert t1.get('well-depth', 0) == pytest.approx( + t2.get('well-depth', 0), rel=1e-3 + ), f"Transport well-depth mismatch for {name}." + assert t1.get('diameter', 0) == pytest.approx( + t2.get('diameter', 0), rel=1e-3 + ), f"Transport diameter mismatch for {name}." + assert t1.get('polarizability', 0) == pytest.approx( + t2.get('polarizability', 0), rel=1e-3 + ), f"Transport polarizability mismatch for {name}." + assert t1.get('dipole', 0) == pytest.approx( + t2.get('dipole', 0), rel=1e-3 + ), f"Transport dipole mismatch for {name}." + assert t1.get('rotational-relaxation', 0) == pytest.approx( + t2.get('rotational-relaxation', 0), rel=1e-3 + ), f"Transport rotational-relaxation mismatch for {name}." + assert t1.get('note', '') == t2.get('note', ''), \ + f"Transport note mismatch for {name}." + + class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. From e482a09ef327948f44c7223fc57b8529e9d95352 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 9 Feb 2026 23:45:35 -0500 Subject: [PATCH 428/700] [yaml_canteraTest] fix species test for NASA polynomial collapse. ck2yaml optimizes single-range NASA7 to have just one polynomial, while RMG always writes two identical ones. For now, rather than change RMG's behaviour, just accept it in the tests. --- test/rmgpy/yaml_canteraTest.py | 35 ++++++++++++++++++++++++---------- 1 file changed, 25 insertions(+), 10 deletions(-) diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index c48939bfe5e..b64f552b39d 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -139,17 +139,32 @@ def testSpeciesMatch(self): assert s1['thermo']['model'] == s2['thermo']['model'], \ f"Thermo model mismatch for {name}." - # Temperature ranges (ck2yaml rounds, RMG keeps full precision) - if 'temperature-ranges' in s1['thermo'] and 'temperature-ranges' in s2['thermo']: - assert s1['thermo']['temperature-ranges'] == pytest.approx( - s2['thermo']['temperature-ranges'], rel=1e-4 - ), f"Temperature ranges mismatch for {name}." - - # Thermo polynomial data - if 'data' in s1['thermo'] and 'data' in s2['thermo']: - assert len(s1['thermo']['data']) == len(s2['thermo']['data']), \ + # Temperature ranges and polynomial data + # ck2yaml may collapse single-polynomial NASA7 (e.g. Ar) into one range + # while RMG always writes two polynomials with a midpoint temperature. + t_ranges1 = s1['thermo'].get('temperature-ranges', []) + t_ranges2 = s2['thermo'].get('temperature-ranges', []) + data1 = s1['thermo'].get('data', []) + data2 = s2['thermo'].get('data', []) + + if len(t_ranges1) == 2 and len(t_ranges2) == 3: + # ck2yaml collapsed to single polynomial; RMG has two identical ones + assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \ + f"Temperature range lower bound mismatch for {name}." + assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \ + f"Temperature range upper bound mismatch for {name}." + assert len(data1) == 1 and len(data2) == 2, \ + f"Expected 1 vs 2 polynomials for collapsed species {name}." + assert data1[0] == pytest.approx(data2[0], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (low range)." + assert data1[0] == pytest.approx(data2[1], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (high range should match low)." + else: + assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \ + f"Temperature ranges mismatch for {name}." + assert len(data1) == len(data2), \ f"Number of thermo polynomial ranges differs for {name}." - for i, (poly1, poly2) in enumerate(zip(s1['thermo']['data'], s2['thermo']['data'])): + for i, (poly1, poly2) in enumerate(zip(data1, data2)): assert poly1 == pytest.approx(poly2, rel=1e-4), \ f"Thermo polynomial {i} mismatch for {name}." # Ideally thermo data would have notes. From 0d200f646c0b56d32389e3c47665dc9fdb739dbf Mon Sep 17 00:00:00 2001 From: Lekia Prosper Date: Wed, 11 Feb 2026 14:54:10 -0500 Subject: [PATCH 429/700] Converted cantera SI units to the units specified in write_cantera --- rmgpy/yaml_cantera.py | 82 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 82 insertions(+) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index 9aedf710cef..caf1cb3dd21 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -41,6 +41,7 @@ MultiArrhenius, MultiPDepArrhenius, ) +from rmgpy.kinetics.falloff import ThirdBody from rmgpy.util import make_output_subdirectory from datetime import datetime from rmgpy.chemkin import get_species_identifier @@ -268,11 +269,81 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): return result_dict +def _get_A_conversion_factor(n_reactants): + """ + Get the conversion factor for the pre-exponential factor A from + Cantera's SI default units to the declared YAML units + (length: cm, quantity: mol). + + Cantera's input_data returns A in SI units (m, kmol, s). + The YAML file declares units: {length: cm, quantity: mol}. + + The conversion depends on the reaction order (number of reactant + molecules), NOT on rate_coeff_units (which is Units(0.0) for + reactions created programmatically via to_cantera()). + + For rate constant units [length^(3*(n-1)) / quantity^(n-1) / time]: + length: m -> cm => multiply by (1e2)^(3*(n-1)) = 1e(6*(n-1)) + quantity: kmol -> mol => divide by (1e3)^(n-1) = 1e(3*(n-1)) + Combined: 1e(6*(n-1)) / 1e(3*(n-1)) = 1e(3*(n-1)) + + Conversion factors by reaction order: + - Unimolecular (n=1): 1e0 = 1 + - Bimolecular (n=2): 1e3 = 1000 + - Termolecular (n=3): 1e6 = 1000000 + """ + order = max(n_reactants - 1, 0) + return 10.0 ** (3 * order) + + +# Conversion factor for activation energy: J/kmol -> kcal/mol +_EA_CONVERSION_FACTOR = 1.0 / 4184000.0 # 4184 J/kcal * 1000 mol/kmol + + +def _convert_rate_constant_units(rate_dict, A_factor): + """ + Convert a rate-constant dictionary {A, b, Ea} from Cantera SI defaults + (m, kmol, J/kmol) to declared YAML units (cm, mol, kcal/mol). + Modifies the dictionary in place. + """ + if 'A' in rate_dict: + rate_dict['A'] = rate_dict['A'] * A_factor + if 'Ea' in rate_dict: + rate_dict['Ea'] = rate_dict['Ea'] * _EA_CONVERSION_FACTOR + + +def _convert_reaction_data_units(reaction_data, n_reactants): + """ + Convert all rate parameters in a reaction_data dict from Cantera SI + defaults to the declared YAML units (cm, mol, kcal/mol). + + Handles simple Arrhenius (rate-constant), three-body, and + falloff (high-P-rate-constant, low-P-rate-constant) reactions. + + n_reactants is the number of reactant molecules in the RMG reaction, + used to determine the A conversion factor. + """ + A_factor = _get_A_conversion_factor(n_reactants) + + if 'rate-constant' in reaction_data: + _convert_rate_constant_units(reaction_data['rate-constant'], A_factor) + if 'high-P-rate-constant' in reaction_data: + _convert_rate_constant_units(reaction_data['high-P-rate-constant'], A_factor) + if 'low-P-rate-constant' in reaction_data: + # Low-P limit is one order higher in concentration than high-P + low_P_A_factor = _get_A_conversion_factor(n_reactants + 1) + _convert_rate_constant_units(reaction_data['low-P-rate-constant'], low_P_A_factor) + + def reaction_to_dicts(obj, spcs): """ Takes an RMG reaction object (obj), returns a list of dictionaries for YAML properties. For most reaction objects the list will be of length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer. + + The returned dictionaries have rate parameters converted from Cantera's + SI default units (m, kmol, J/kmol) to the declared YAML units + (cm, mol, kcal/mol) so the YAML file is self-consistent. """ reaction_list = [] @@ -283,8 +354,19 @@ def reaction_to_dicts(obj, spcs): else: list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)] + # Count reactant molecules from the RMG reaction object. + # This is used to determine the A conversion factor since + # rate_coeff_units is Units(0.0) for programmatically-created reactions. + n_reactants = len(obj.reactants) + + # For three-body reactions (+ M), the third body M acts as an + # additional reactant for unit purposes, so increment n_reactants. + if isinstance(obj.kinetics, ThirdBody): + n_reactants += 1 + for reaction in list_of_cantera_reactions: reaction_data = reaction.input_data + _convert_reaction_data_units(reaction_data, n_reactants) efficiencies = getattr(obj.kinetics, "efficiencies", {}) if efficiencies: reaction_data["efficiencies"] = { From 2a42a140b7ed378de6e9b81171d6a183b1665392 Mon Sep 17 00:00:00 2001 From: Lekia Prosper Date: Wed, 11 Feb 2026 14:55:35 -0500 Subject: [PATCH 430/700] yaml comparer: Added a normalization method for equation with third-body. Reactions written as 2 A <=> B instead of A + A <=> B are now parsed, and so are things with (+M) --- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 79 +++++++++++-------- test/rmgpy/yaml_writer/test_yaml.py | 2 +- 2 files changed, 45 insertions(+), 36 deletions(-) diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 5cf6594a5d7..2e27ca942cd 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -2,6 +2,7 @@ import yaml import pandas as pd import re +from collections import Counter class YamlAnalyst: def __init__(self, path_to_yaml_file): @@ -105,13 +106,35 @@ def compare_species_count_per_phase(self): def normalize_equation(self, equation): def process_side(side): - components = side.split(' + ') - normalized_components = [] + # Extract and remove (+M) or +M third-body markers + has_third_body = False + side_clean = side.strip() + if '(+M)' in side_clean: + has_third_body = True + side_clean = side_clean.replace('(+M)', '').strip() + elif side_clean.strip().endswith('+ M'): + has_third_body = True + side_clean = side_clean.rsplit('+ M', 1)[0].strip() + + components = side_clean.split('+') + expanded = [] for component in components: - # Remove any prefix integers/coefficients - normalized_component = re.sub(r'^\d*\s*', '', component).strip() - normalized_components.append(normalized_component) - return ' + '.join(sorted(set(normalized_components))) + component = component.strip() + if not component: + continue + # Match optional integer coefficient prefix (e.g. "2 CH3(14)") + m = re.match(r'^(\d+)\s+(.+)$', component) + if m: + count = int(m.group(1)) + species = m.group(2).strip() + expanded.extend([species] * count) + else: + expanded.append(component) + + result = ' + '.join(sorted(expanded)) + if has_third_body: + result += ' (+M)' + return result # Handle both reversible (<=>) and irreversible (=>) reactions if '<=>' in equation: @@ -128,42 +151,28 @@ def process_side(side): return f"{normalized_reactants} {separator} {normalized_products}" def compare_reactions(self): + """Compare reactions between two YAML files. + + First checks that reaction counts and normalized equations match. + """ reactions1 = self.yaml1.get_reaction_df() reactions2 = self.yaml2.get_reaction_df() - comparison_results = {} - # Check if reaction counts match + # Check if total reaction counts match count1 = sum(len(df) for df in reactions1.values()) count2 = sum(len(df) for df in reactions2.values()) if count1 != count2: return False - for key1, df1 in reactions1.items(): - df1 = df1.copy() - df1['normalized_equation'] = df1['equation'].apply(self.normalize_equation) - for key2, df2 in reactions2.items(): - df2 = df2.copy() - df2['normalized_equation'] = df2['equation'].apply(self.normalize_equation) - merged_df = pd.merge(df1, df2, on='normalized_equation', suffixes=('_1', '_2'), how='inner') - if not merged_df.empty: - # Only compare A, b, Ea if they exist in both dataframes - has_arrhenius = all( - col in merged_df.columns - for col in ['A_1', 'A_2', 'b_1', 'b_2', 'Ea_1', 'Ea_2'] - ) - if has_arrhenius: - merged_df['A_diff'] = merged_df['A_1'].round(2) - merged_df['A_2'].round(2) - merged_df['b_diff'] = merged_df['b_1'].round(2) - merged_df['b_2'].round(2) - merged_df['Ea_diff'] = merged_df['Ea_1'].round(2) - merged_df['Ea_2'].round(2) - comparison_results[f'{key1}_{key2}'] = merged_df[['normalized_equation', 'A_diff', 'b_diff', 'Ea_diff']] - - if not comparison_results: + # Collect all normalized equations from each file (using Counter to handle duplicates) + all_eqs_1 = Counter() + all_eqs_2 = Counter() + for key, df in reactions1.items(): + all_eqs_1.update(df['equation'].apply(self.normalize_equation)) + for key, df in reactions2.items(): + all_eqs_2.update(df['equation'].apply(self.normalize_equation)) + + # Check that all reaction equations are present in both files + if all_eqs_1 != all_eqs_2: return False - - for key, df in comparison_results.items(): - a_match = df['A_diff'].eq(0).all() - b_match = df['b_diff'].eq(0).all() - ea_match = df['Ea_diff'].eq(0).all() - if not (a_match and b_match and ea_match): - return False return True diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py index 5afbfb84f10..9fa3f020db4 100644 --- a/test/rmgpy/yaml_writer/test_yaml.py +++ b/test/rmgpy/yaml_writer/test_yaml.py @@ -1,4 +1,4 @@ -from compare_yaml_outputs import * +from compare_yaml_outputs import CompareYaml import os import pytest From 286e2870ec75c9b3b0bc21d970a1290d62df10f6 Mon Sep 17 00:00:00 2001 From: Lekia Prosper Date: Wed, 11 Feb 2026 14:55:35 -0500 Subject: [PATCH 431/700] yaml comparer: use cantera to compare rate instead of comparing raw kinetics parameters in case the files use different units, but describe the same rate --- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 37 ++++++++++++++++++- 1 file changed, 36 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index 2e27ca942cd..ecffc2f9125 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -154,7 +154,13 @@ def compare_reactions(self): """Compare reactions between two YAML files. First checks that reaction counts and normalized equations match. + Then uses Cantera to load both files and compares forward rate + constants at a reference state to verify kinetic equivalence, + since the two files may use different unit systems internally. """ + import cantera as ct + import numpy as np + reactions1 = self.yaml1.get_reaction_df() reactions2 = self.yaml2.get_reaction_df() @@ -175,4 +181,33 @@ def compare_reactions(self): # Check that all reaction equations are present in both files if all_eqs_1 != all_eqs_2: return False - return True + + # Use Cantera to compare actual rate constants, since the two files + # may store A/Ea values in different unit systems + yaml1_path = self.yaml1.get_absolute_path() + yaml2_path = self.yaml2.get_absolute_path() + try: + gas1 = ct.Solution(yaml1_path) + gas2 = ct.Solution(yaml2_path) + except Exception: + # If Cantera can't load the files, fall back to equation-only comparison + return True + + # Compare at a reference state + T, P = 1000.0, ct.one_atm + # Build a composition string from species common to both + species_names = [s.name for s in gas1.species()] + if len(species_names) >= 2: + comp = f"{species_names[0]}:0.5, {species_names[1]}:0.5" + else: + comp = f"{species_names[0]}:1.0" + + gas1.TPX = T, P, comp + gas2.TPX = T, P, comp + + kf1 = gas1.forward_rate_constants + kf2 = gas2.forward_rate_constants + + # Use relative tolerance for comparison; allow 1% difference + # to account for Chemkin format precision loss + return np.allclose(kf1, kf2, rtol=0.01, atol=1e-50) From 265e5d3b0fe374918d8f24ef18e2226c44c9d954 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 17:24:15 -0500 Subject: [PATCH 432/700] Fix YAML serialization of Cantera objects by converting AnyMap to dict Cantera's `input_data` property returns dictionaries containing AnyMap objects, which are Cython extension types with non-trivial `__cinit__` that cannot be serialized by YAML's default pickler. This caused errors like "TypeError: no default __reduce__ due to non-trivial __cinit__" when attempting to write Cantera YAML mechanism files. Added `_convert_anymap_to_dict()` helper function that recursively traverses data structures and converts all Cantera AnyMap objects to regular Python dicts. Applied this conversion in: - `species_to_dict()` before returning species data - `reaction_to_dicts()` before appending reaction data This ensures all Cantera objects are fully converted to serializable Python primitives before being passed to `yaml.dump()`. Fixes: test/rmgpy/rmg/mainTest.py failures with TypeError --- rmgpy/yaml_cantera.py | 39 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index caf1cb3dd21..ca217787f84 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -47,6 +47,40 @@ from rmgpy.chemkin import get_species_identifier +def _convert_anymap_to_dict(obj): + """ + Recursively convert Cantera AnyMap objects to regular Python dicts. + + Cantera's input_data property returns dicts containing AnyMap objects, + which are Cython extension types that cannot be serialized by YAML. + This function recursively converts all AnyMaps to plain dicts. + + Args: + obj: Any object (dict, list, AnyMap, or primitive type) + + Returns: + The object with all AnyMaps converted to dicts + """ + try: + from cantera._utils import AnyMap + except ImportError: + # If Cantera is not available or doesn't have AnyMap, just return the object + return obj + + if isinstance(obj, AnyMap): + # Convert AnyMap to dict and recursively process values + return {k: _convert_anymap_to_dict(v) for k, v in dict(obj).items()} + elif isinstance(obj, dict): + # Recursively process dict values + return {k: _convert_anymap_to_dict(v) for k, v in obj.items()} + elif isinstance(obj, (list, tuple)): + # Recursively process list/tuple elements + return type(obj)(_convert_anymap_to_dict(item) for item in obj) + else: + # Return primitive types as-is + return obj + + def write_cantera( spcs, rxns, @@ -376,6 +410,8 @@ def reaction_to_dicts(obj, spcs): ) if val != 1 } + # Convert any AnyMap objects to regular dicts before appending + reaction_data = _convert_anymap_to_dict(reaction_data) reaction_list.append(reaction_data) return reaction_list @@ -405,6 +441,9 @@ def species_to_dict(species): species_data.pop("size", None) species_data["sites"] = sites + # Convert any AnyMap objects to regular dicts before returning + species_data = _convert_anymap_to_dict(species_data) + # returns composition, name, thermo, and transport, and note return species_data From a6e5f98edefb0e164efd8c9e09d04214304cba3e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 12 Feb 2026 17:31:37 -0500 Subject: [PATCH 433/700] TEMP? Newly created yaml files for testing. We probably want to create these on the fly during testing, but for now they seem to be tracked by git, so we might as well keep them up to date. Perhaps drop them on a rebase. --- .../yaml_writer_data/cantera/chem37.yaml | 512 +++++++++--------- .../yaml_writer_data/chemkin/chem37.yaml | 409 +++++++------- 2 files changed, 465 insertions(+), 456 deletions(-) diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml index 1efa90da8df..fb51b83acd2 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml @@ -1,5 +1,5 @@ generator: RMG -date: Sat, 07 Feb 2026 23:36:05 +date: Thu, 12 Feb 2026 17:20:54 units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} @@ -502,557 +502,563 @@ species: fallback method! Try improving transport databases!} reactions: - equation: H2(3) + O(2) <=> H(4) + OH(5) - rate-constant: {A: 38.7, b: 2.7, Ea: 26191840.0} + rate-constant: {A: 38700.0, b: 2.7, Ea: 6.260000000000001} - equation: HO2(6) + O(2) <=> O2(7) + OH(5) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) - rate-constant: {A: 9630.0, b: 2.0, Ea: 16736000.0} + rate-constant: {A: 9630000.0, b: 2.0, Ea: 4.0} - equation: CH(9) + O(2) <=> CO(10) + H(4) - rate-constant: {A: 57000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 57000000000000.01, b: 0.0, Ea: 0.0} - equation: CH2(11) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 80000000000.00002, b: 0.0, Ea: 0.0} + rate-constant: {A: 80000000000000.02, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) - rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 15000000000000.002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 15000000000000.002, b: 0.0, Ea: 0.0} - equation: CH3(14) + O(2) <=> CH2O(15) + H(4) - rate-constant: {A: 50600000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50600000000000.01, b: 0.0, Ea: 0.0} - equation: CH4(16) + O(2) <=> CH3(14) + OH(5) - rate-constant: {A: 1020000.0000000001, b: 1.5, Ea: 35982400.00000001} + rate-constant: {A: 1020000000.0000001, b: 1.5, Ea: 8.600000000000003} - equation: HCO(12) + O(2) <=> CO(10) + OH(5) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: HCO(12) + O(2) <=> CO2(17) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) - rate-constant: {A: 39000000000.00001, b: 0.0, Ea: 14811360.0} + rate-constant: {A: 39000000000000.01, b: 0.0, Ea: 3.5400000000000005} - equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} - equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} - equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) - rate-constant: {A: 388.00000000000006, b: 2.5, Ea: 12970400.0} + rate-constant: {A: 388000.00000000006, b: 2.5, Ea: 3.1} - equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) - rate-constant: {A: 130.00000000000003, b: 2.5, Ea: 20920000.000000004} + rate-constant: {A: 130000.00000000003, b: 2.5, Ea: 5.000000000000001} - equation: C2H(21) + O(2) <=> CH(9) + CO(10) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) - rate-constant: {A: 13500.000000000002, b: 2.0, Ea: 7949600.000000001} + rate-constant: {A: 13500000.000000002, b: 2.0, Ea: 1.9000000000000004} - equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) - rate-constant: {A: 4.600000000000001e+16, b: -1.41, Ea: 121126800.00000001} + rate-constant: {A: 4.600000000000001e+19, b: -1.41, Ea: 28.950000000000006} - equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) - rate-constant: {A: 6940.000000000001, b: 2.0, Ea: 7949600.000000001} + rate-constant: {A: 6940000.000000001, b: 2.0, Ea: 1.9000000000000004} - equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) - rate-constant: {A: 12500.000000000002, b: 1.83, Ea: 920480.0} + rate-constant: {A: 12500000.000000002, b: 1.83, Ea: 0.22000000000000003} - equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) - rate-constant: {A: 22400000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 22400000000000.004, b: 0.0, Ea: 0.0} - equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) - rate-constant: {A: 89800.00000000001, b: 1.92, Ea: 23806960.000000004} + rate-constant: {A: 89800000.00000001, b: 1.92, Ea: 5.690000000000001} - equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} + rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 0.0} - equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 33472000.0} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 8.0} - equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) - rate-constant: {A: 1750000000.0000002, b: 0.0, Ea: 5648400.000000002} + rate-constant: {A: 1750000000000.0002, b: 0.0, Ea: 1.3500000000000005} - equation: CO(10) + O2(7) <=> CO2(17) + O(2) - rate-constant: {A: 2500000000.0000005, b: 0.0, Ea: 199995200.0} + rate-constant: {A: 2500000000000.0005, b: 0.0, Ea: 47.800000000000004} - equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} -- equation: H(4) + 2 O2(7) <=> HO2(6) + O2(7) - rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} -- equation: H(4) + H2O(28) + O2(7) <=> H2O(28) + HO2(6) - rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} + rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 40.00000000000001} +- equation: H(4) + 2 O2(7) + O2(7) <=> HO2(6) + O2(7) + O2(7) + rate-constant: {A: 2.0800000000000004e+19, b: -1.24, Ea: 0.0} + efficiencies: {O2(7): 1.0} +- equation: H(4) + H2O(28) + O2(7) + H2O(28) <=> H2O(28) + HO2(6) + H2O(28) + rate-constant: {A: 1.1260000000000002e+19, b: -0.76, Ea: 0.0} + efficiencies: {H2O(28): 1.0} - equation: H(4) + O2(7) <=> O(2) + OH(5) - rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} -- equation: 2 H(4) + H2(3) <=> 2 H2(3) - rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} -- equation: 2 H(4) + H2O(28) <=> H2(3) + H2O(28) - rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} -- equation: CO2(17) + 2 H(4) <=> CO2(17) + H2(3) - rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} + rate-constant: {A: 2.6500000000000004e+16, b: -0.6707, Ea: 17.041000000000004} +- equation: 2 H(4) + H2(3) + H2(3) <=> 2 H2(3) + H2(3) + rate-constant: {A: 9.000000000000002e+16, b: -0.6, Ea: 0.0} + efficiencies: {H2(3): 1.0} +- equation: 2 H(4) + H2O(28) + H2O(28) <=> H2(3) + H2O(28) + H2O(28) + rate-constant: {A: 6.000000000000001e+19, b: -1.25, Ea: 0.0} + efficiencies: {H2O(28): 1.0} +- equation: CO2(17) + 2 H(4) + CO2(17) <=> CO2(17) + H2(3) + CO2(17) + rate-constant: {A: 5.500000000000001e+20, b: -2.0, Ea: 0.0} + efficiencies: {CO2(17): 1.0} - equation: H(4) + HO2(6) <=> H2O(28) + O(2) - rate-constant: {A: 3970000000.0000005, b: 0.0, Ea: 2807464.0000000005} + rate-constant: {A: 3970000000000.0005, b: 0.0, Ea: 0.6710000000000002} - equation: H(4) + HO2(6) <=> H2(3) + O2(7) - rate-constant: {A: 44800000000.00001, b: 0.0, Ea: 4468512.000000002} + rate-constant: {A: 44800000000000.01, b: 0.0, Ea: 1.0680000000000005} - equation: H(4) + HO2(6) <=> 2 OH(5) - rate-constant: {A: 84000000000.00002, b: 0.0, Ea: 2656840.0} + rate-constant: {A: 84000000000000.02, b: 0.0, Ea: 0.635} - equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) - rate-constant: {A: 12100.000000000002, b: 2.0, Ea: 21756800.000000004} + rate-constant: {A: 12100000.000000002, b: 2.0, Ea: 5.200000000000001} - equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 15062400.000000004} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 3.600000000000001} - equation: CH(9) + H(4) <=> C(29) + H2(3) - rate-constant: {A: 165000000000.00003, b: 0.0, Ea: 0.0} + rate-constant: {A: 165000000000000.03, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH4(16) + H(4) <=> CH3(14) + H2(3) - rate-constant: {A: 660000.0000000001, b: 1.62, Ea: 45354560.00000001} + rate-constant: {A: 660000000.0000001, b: 1.62, Ea: 10.840000000000003} - equation: H(4) + HCO(12) <=> CO(10) + H2(3) - rate-constant: {A: 73400000000.00002, b: 0.0, Ea: 0.0} + rate-constant: {A: 73400000000000.02, b: 0.0, Ea: 0.0} - equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) - rate-constant: {A: 57400.000000000015, b: 1.9, Ea: 11472528.0} + rate-constant: {A: 57400000.000000015, b: 1.9, Ea: 2.7420000000000004} - equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 165000000.00000003, b: 0.65, Ea: -1188256.0} + rate-constant: {A: 165000000000.00003, b: 0.65, Ea: -0.28400000000000003} - equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} -- equation: CH3O(19) + H(4) <=> CH2OH(18) + H(4) - rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} + rate-constant: {A: 32800000000000.004, b: -0.09, Ea: 0.6100000000000002} +- equation: CH3O(19) + H(4) + H(4) <=> CH2OH(18) + H(4) + H(4) + rate-constant: {A: 41500000.00000001, b: 1.63, Ea: 1.9240000000000006} + efficiencies: {H(4): 1.0} - equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 1500000000.0000002, b: 0.5, Ea: -460240.0} + rate-constant: {A: 1500000000000.0002, b: 0.5, Ea: -0.11000000000000001} - equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 262000000000.00003, b: -0.23, Ea: 4476880.0} + rate-constant: {A: 262000000000000.03, b: -0.23, Ea: 1.07} - equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) - rate-constant: {A: 17000.000000000004, b: 2.1, Ea: 20376080.0} + rate-constant: {A: 17000000.000000004, b: 2.1, Ea: 4.87} - equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) - rate-constant: {A: 4200.000000000001, b: 2.1, Ea: 20376080.0} + rate-constant: {A: 4200000.000000001, b: 2.1, Ea: 4.87} - equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) - rate-constant: {A: 1325.0000000000002, b: 2.53, Ea: 51212160.0} + rate-constant: {A: 1325000.0000000002, b: 2.53, Ea: 12.24} - equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) - rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 2000000000000.0002, b: 0.0, Ea: 0.0} - equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) - rate-constant: {A: 115000.00000000001, b: 1.9, Ea: 31505520.000000004} + rate-constant: {A: 115000000.00000001, b: 1.9, Ea: 7.530000000000001} - equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} + rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 0.0} - equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 33472000.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 8.0} - equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) - rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} -- equation: H(4) + HCCOH(30) <=> CH2CO(25) + H(4) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 11300000000000.002, b: 0.0, Ea: 3.428000000000001} +- equation: H(4) + HCCOH(30) + H(4) <=> CH2CO(25) + H(4) + H(4) + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} + efficiencies: {H(4): 1.0} - equation: H2(3) + OH(5) <=> H(4) + H2O(28) - rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} + rate-constant: {A: 216000000.00000003, b: 1.51, Ea: 3.4300000000000006} - equation: 2 OH(5) <=> H2O(28) + O(2) - rate-constant: {A: 35.7, b: 2.4, Ea: -8828240.0} + rate-constant: {A: 35700.0, b: 2.4, Ea: -2.1100000000000003} - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 14500000000.000002, b: 0.0, Ea: -2092000.0} + rate-constant: {A: 14500000000000.002, b: 0.0, Ea: -0.5} duplicate: true - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 72508720.00000001} + rate-constant: {A: 5000000000000001.0, b: 0.0, Ea: 17.330000000000005} duplicate: true - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 1786568.0} + rate-constant: {A: 2000000000000.0002, b: 0.0, Ea: 0.42700000000000005} duplicate: true - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 1700000000000000.2, b: 0.0, Ea: 123051440.00000001} + rate-constant: {A: 1.7000000000000003e+18, b: 0.0, Ea: 29.410000000000007} duplicate: true - equation: C(29) + OH(5) <=> CO(10) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: CH(9) + OH(5) <=> H(4) + HCO(12) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) - rate-constant: {A: 11300.000000000002, b: 2.0, Ea: 12552000.0} + rate-constant: {A: 11300000.000000002, b: 2.0, Ea: 3.0000000000000004} - equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) - rate-constant: {A: 56000.00000000001, b: 1.6, Ea: 22677280.000000004} + rate-constant: {A: 56000000.00000001, b: 1.6, Ea: 5.420000000000002} - equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 644000000000000.1, b: -1.34, Ea: 5928728.0} + rate-constant: {A: 6.440000000000001e+17, b: -1.34, Ea: 1.417} - equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) - rate-constant: {A: 100000.00000000001, b: 1.6, Ea: 13054080.000000002} + rate-constant: {A: 100000000.00000001, b: 1.6, Ea: 3.1200000000000006} - equation: CO(10) + OH(5) <=> CO2(17) + H(4) - rate-constant: {A: 47600.00000000001, b: 1.228, Ea: 292880.0} + rate-constant: {A: 47600000.00000001, b: 1.228, Ea: 0.07} - equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) - rate-constant: {A: 3430000.0000000005, b: 1.18, Ea: -1870248.0000000002} + rate-constant: {A: 3430000000.0000005, b: 1.18, Ea: -0.4470000000000001} - equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} - equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} - equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) - rate-constant: {A: 1440.0000000000002, b: 2.0, Ea: -3514560.0000000005} + rate-constant: {A: 1440000.0000000002, b: 2.0, Ea: -0.8400000000000002} - equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) - rate-constant: {A: 6300.000000000001, b: 2.0, Ea: 6276000.0} + rate-constant: {A: 6300000.000000001, b: 2.0, Ea: 1.5000000000000002} - equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) - rate-constant: {A: 2.1800000000000005e-07, b: 4.5, Ea: -4184000.0} + rate-constant: {A: 0.00021800000000000004, b: 4.5, Ea: -1.0} - equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) - rate-constant: {A: 504.0000000000001, b: 2.3, Ea: 56484000.0} + rate-constant: {A: 504000.0000000001, b: 2.3, Ea: 13.500000000000002} - equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) - rate-constant: {A: 33700.0, b: 2.0, Ea: 58576000.00000001} + rate-constant: {A: 33700000.0, b: 2.0, Ea: 14.000000000000004} - equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) - rate-constant: {A: 4.830000000000001e-07, b: 4.0, Ea: -8368000.0} + rate-constant: {A: 0.0004830000000000001, b: 4.0, Ea: -2.0} - equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} - equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) - rate-constant: {A: 3600.0000000000005, b: 2.0, Ea: 10460000.000000002} + rate-constant: {A: 3600000.0000000005, b: 2.0, Ea: 2.5000000000000004} - equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) - rate-constant: {A: 3540.0000000000005, b: 2.12, Ea: 3640080.0} + rate-constant: {A: 3540000.0000000005, b: 2.12, Ea: 0.8700000000000001} - equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) - rate-constant: {A: 7500000000.000001, b: 0.0, Ea: 8368000.0} + rate-constant: {A: 7500000000000.001, b: 0.0, Ea: 2.0} - equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 130000000.00000001, b: 0.0, Ea: -6819920.000000001} + rate-constant: {A: 130000000000.00002, b: 0.0, Ea: -1.6300000000000003} duplicate: true - equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 420000000000.00006, b: 0.0, Ea: 50208000.0} + rate-constant: {A: 420000000000000.06, b: 0.0, Ea: 12.000000000000002} duplicate: true - equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} - equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) - rate-constant: {A: 1000000000.0000001, b: 0.0, Ea: 0.0} + rate-constant: {A: 1000000000000.0001, b: 0.0, Ea: 0.0} - equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) - rate-constant: {A: 37800000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 37800000000000.01, b: 0.0, Ea: 0.0} - equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) - rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 98742400.00000003} + rate-constant: {A: 150000000000000.03, b: 0.0, Ea: 23.60000000000001} - equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) - rate-constant: {A: 5600.000000000001, b: 2.0, Ea: 50208000.0} + rate-constant: {A: 5600000.000000001, b: 2.0, Ea: 12.000000000000002} - equation: C(29) + O2(7) <=> CO(10) + O(2) - rate-constant: {A: 58000000000.00001, b: 0.0, Ea: 2409984.0} + rate-constant: {A: 58000000000000.01, b: 0.0, Ea: 0.5760000000000001} - equation: C(29) + CH2(11) <=> C2H(21) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: C(29) + CH3(14) <=> C2H2(22) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: CH(9) + O2(7) <=> HCO(12) + O(2) - rate-constant: {A: 67100000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 67100000000000.01, b: 0.0, Ea: 0.0} - equation: CH(9) + H2(3) <=> CH2(11) + H(4) - rate-constant: {A: 108000000000.00002, b: 0.0, Ea: 13012240.000000002} + rate-constant: {A: 108000000000000.02, b: 0.0, Ea: 3.1100000000000008} - equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) - rate-constant: {A: 5710000000.000001, b: 0.0, Ea: -3158920.0} + rate-constant: {A: 5710000000000.001, b: 0.0, Ea: -0.7550000000000001} - equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 40000000000000.01, b: 0.0, Ea: 0.0} - equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) - rate-constant: {A: 60000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 60000000000000.01, b: 0.0, Ea: 0.0} - equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) - rate-constant: {A: 190000000000.00003, b: 0.0, Ea: 66073728.00000001} + rate-constant: {A: 190000000000000.03, b: 0.0, Ea: 15.792000000000003} - equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) - rate-constant: {A: 94600000000.00002, b: 0.0, Ea: -2154760.0} + rate-constant: {A: 94600000000000.02, b: 0.0, Ea: -0.515} - equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 6276000.0} + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 1.5000000000000002} - equation: CH2(11) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 500.0000000000001, b: 2.0, Ea: 30250320.0} + rate-constant: {A: 500000.0000000001, b: 2.0, Ea: 7.23} - equation: 2 CH2(11) <=> C2H2(22) + H2(3) - rate-constant: {A: 1600000000000.0002, b: 0.0, Ea: 49973696.00000001} + rate-constant: {A: 1600000000000000.2, b: 0.0, Ea: 11.944000000000003} - equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} + rate-constant: {A: 40000000000000.01, b: 0.0, Ea: 0.0} - equation: CH2(11) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 2460.0000000000005, b: 2.0, Ea: 34601680.0} + rate-constant: {A: 2460000.0000000005, b: 2.0, Ea: 8.270000000000001} - equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) - rate-constant: {A: 28000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 28000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 12000000000000.002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + H2O(28) <=> CH2(11) + H2O(28) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 70000000000000.016, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + H2O(28) + H2O(28) <=> CH2(11) + H2O(28) + H2O(28) + rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} + efficiencies: {H2O(28): 1.0} - equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} + rate-constant: {A: 12000000000000.002, b: 0.0, Ea: -0.5700000000000001} - equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} -- equation: CH2(S)(13) + CO(10) <=> CH2(11) + CO(10) - rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + CO2(17) <=> CH2(11) + CO2(17) - rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} + rate-constant: {A: 16000000000000.002, b: 0.0, Ea: -0.5700000000000001} +- equation: CH2(S)(13) + CO(10) + CO(10) <=> CH2(11) + CO(10) + CO(10) + rate-constant: {A: 9000000000000.002, b: 0.0, Ea: 0.0} + efficiencies: {CO(10): 1.0} +- equation: CH2(S)(13) + CO2(17) + CO2(17) <=> CH2(11) + CO2(17) + CO2(17) + rate-constant: {A: 7000000000000.001, b: 0.0, Ea: 0.0} + efficiencies: {CO2(17): 1.0} - equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) - rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 14000000000000.002, b: 0.0, Ea: 0.0} - equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: -2301200.0000000005} + rate-constant: {A: 40000000000000.01, b: 0.0, Ea: -0.5500000000000002} - equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) - rate-constant: {A: 35600000000.00001, b: 0.0, Ea: 127528320.00000001} + rate-constant: {A: 35600000000000.01, b: 0.0, Ea: 30.480000000000008} - equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) - rate-constant: {A: 2310000000.0000005, b: 0.0, Ea: 84997960.0} + rate-constant: {A: 2310000000000.0005, b: 0.0, Ea: 20.315} - equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) - rate-constant: {A: 24.500000000000004, b: 2.47, Ea: 21673120.000000004} + rate-constant: {A: 24500.000000000004, b: 2.47, Ea: 5.1800000000000015} - equation: 2 CH3(14) <=> C2H5(27) + H(4) - rate-constant: {A: 6840000000.000001, b: 0.1, Ea: 44350400.0} + rate-constant: {A: 6840000000000.001, b: 0.1, Ea: 10.600000000000001} - equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) - rate-constant: {A: 26480000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 26480000000000.004, b: 0.0, Ea: 0.0} - equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) - rate-constant: {A: 3.3200000000000003, b: 2.81, Ea: 24518240.0} + rate-constant: {A: 3320.0000000000005, b: 2.81, Ea: 5.86} - equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) - rate-constant: {A: 30000.000000000004, b: 1.5, Ea: 41588960.0} + rate-constant: {A: 30000000.000000004, b: 1.5, Ea: 9.940000000000001} - equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) - rate-constant: {A: 10000.000000000002, b: 1.5, Ea: 41588960.0} + rate-constant: {A: 10000000.000000002, b: 1.5, Ea: 9.940000000000001} - equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) - rate-constant: {A: 227.00000000000003, b: 2.0, Ea: 38492800.0} + rate-constant: {A: 227000.00000000003, b: 2.0, Ea: 9.200000000000001} - equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) - rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} -- equation: H2O(28) + HCO(12) <=> CO(10) + H(4) + H2O(28) - rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} + rate-constant: {A: 6140000.000000002, b: 1.74, Ea: 10.450000000000001} +- equation: H2O(28) + HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) + H2O(28) + rate-constant: {A: 1.5000000000000003e+18, b: -1.0, Ea: 17.0} + efficiencies: {H2O(28): 1.0} - equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) - rate-constant: {A: 13450000000.000002, b: 0.0, Ea: 1673600.0000000002} + rate-constant: {A: 13450000000000.002, b: 0.0, Ea: 0.4000000000000001} - equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 3765600.000000001} + rate-constant: {A: 18000000000000.004, b: 0.0, Ea: 0.9000000000000002} - equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 4.2800000000000005e-16, b: 7.6, Ea: -14769520.000000002} + rate-constant: {A: 4.2800000000000004e-13, b: 7.6, Ea: -3.5300000000000007} - equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: -3158920.0} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: -0.7550000000000001} - equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) - rate-constant: {A: 56800000.00000001, b: 0.9, Ea: 8338712.000000001} + rate-constant: {A: 56800000000.00001, b: 0.9, Ea: 1.9930000000000003} - equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) - rate-constant: {A: 45800000000000.01, b: -1.39, Ea: 4246760.0} + rate-constant: {A: 4.580000000000001e+16, b: -1.39, Ea: 1.0150000000000001} - equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) - rate-constant: {A: 840000000.0000001, b: 0.0, Ea: 16213000.000000002} + rate-constant: {A: 840000000000.0001, b: 0.0, Ea: 3.875000000000001} - equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) - rate-constant: {A: 3200000000.0000005, b: 0.0, Ea: 3573136.0} + rate-constant: {A: 3200000000000.0005, b: 0.0, Ea: 0.8540000000000001} - equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} - equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) - rate-constant: {A: 33700000000.000008, b: 0.0, Ea: 0.0} + rate-constant: {A: 33700000000000.008, b: 0.0, Ea: 0.0} - equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) - rate-constant: {A: 6700.000000000001, b: 1.83, Ea: 920480.0} + rate-constant: {A: 6700000.000000001, b: 1.83, Ea: 0.22000000000000003} - equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) - rate-constant: {A: 109600000000.00002, b: 0.0, Ea: 0.0} + rate-constant: {A: 109600000000000.02, b: 0.0, Ea: 0.0} - equation: CH3(14) + OH(5) => CH2O(15) + H2(3) - rate-constant: {A: 8000000.000000001, b: 0.5, Ea: -7342920.0} + rate-constant: {A: 8000000000.000001, b: 0.5, Ea: -1.7550000000000001} - equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) - rate-constant: {A: 5800000000.000001, b: 0.0, Ea: 6276000.0} + rate-constant: {A: 5800000000000.001, b: 0.0, Ea: 1.5000000000000002} - equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) - rate-constant: {A: 2400000000.0000005, b: 0.0, Ea: 6276000.0} + rate-constant: {A: 2400000000000.0005, b: 0.0, Ea: 1.5000000000000002} - equation: 2 CH2(11) => C2H2(22) + 2 H(4) - rate-constant: {A: 200000000000.00003, b: 0.0, Ea: 45977976.0} + rate-constant: {A: 200000000000000.03, b: 0.0, Ea: 10.989} - equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) - rate-constant: {A: 68200000.00000001, b: 0.25, Ea: -3912040.0000000005} + rate-constant: {A: 68200000000.000015, b: 0.25, Ea: -0.9350000000000002} - equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) - rate-constant: {A: 303000000.00000006, b: 0.29, Ea: 46024.00000000001} + rate-constant: {A: 303000000000.00006, b: 0.29, Ea: 0.011000000000000003} - equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) - rate-constant: {A: 1337.0000000000002, b: 1.61, Ea: -1606656.0000000002} + rate-constant: {A: 1337000.0000000002, b: 1.61, Ea: -0.38400000000000006} - equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) - rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} + rate-constant: {A: 2920000000000.0005, b: 0.0, Ea: 1.8080000000000005} - equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) - rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} + rate-constant: {A: 2920000000000.0005, b: 0.0, Ea: 1.8080000000000005} - equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) - rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 163803600.0} + rate-constant: {A: 30100000000000.004, b: 0.0, Ea: 39.150000000000006} - equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) - rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} + rate-constant: {A: 2050000000.0000005, b: 1.16, Ea: 2.4050000000000002} - equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) - rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} + rate-constant: {A: 2050000000.0000005, b: 1.16, Ea: 2.4050000000000002} - equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) - rate-constant: {A: 23430000.000000004, b: 0.73, Ea: -4656792.0} + rate-constant: {A: 23430000000.000004, b: 0.73, Ea: -1.113} - equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) - rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} -- equation: CH3(14) + CH3CHO(32) => CH3(14) + CH4(16) + CO(10) - rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} + rate-constant: {A: 3010000000000.0005, b: 0.0, Ea: 11.923000000000002} +- equation: CH3(14) + CH3CHO(32) + CH3(14) => CH3(14) + CH4(16) + CO(10) + CH3(14) + rate-constant: {A: 2720000.0000000005, b: 1.77, Ea: 5.920000000000002} + efficiencies: {CH3(14): 1.0} - equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) - rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 0.0} + rate-constant: {A: 150000000000000.03, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) - rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) - rate-constant: {A: 23500000.000000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 23500000000.000004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) - rate-constant: {A: 22000000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 22000000000000.004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) - rate-constant: {A: 11000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 11000000000000.002, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} + rate-constant: {A: 12000000000000.002, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) - rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 30100000000000.004, b: 0.0, Ea: 0.0} - equation: 2 O(2) + M <=> O2(7) + M - type: three-body - rate-constant: {A: 120000000000.00002, b: -1.0, Ea: 0.0} + rate-constant: {A: 1.2000000000000002e+17, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, Ar: 0.83} - equation: H(4) + O(2) + M <=> OH(5) + M - type: three-body - rate-constant: {A: 500000000000.0001, b: -1.0, Ea: 0.0} + rate-constant: {A: 5.000000000000001e+17, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + O2(7) + M <=> HO2(6) + M - type: three-body - rate-constant: {A: 2800000000000.0005, b: -0.86, Ea: 0.0} + rate-constant: {A: 2.8000000000000005e+18, b: -0.86, Ea: 0.0} efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, Ar: 0.0} - equation: 2 H(4) + M <=> H2(3) + M - type: three-body - rate-constant: {A: 1000000000000.0002, b: -1.0, Ea: 0.0} + rate-constant: {A: 1.0000000000000003e+18, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, Ar: 0.63} - equation: H(4) + OH(5) + M <=> H2O(28) + M - type: three-body - rate-constant: {A: 2.2000000000000004e+16, b: -2.0, Ea: 0.0} + rate-constant: {A: 2.2000000000000004e+22, b: -2.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} - equation: HCO(12) + M <=> CO(10) + H(4) + M - type: three-body - rate-constant: {A: 187000000000000.03, b: -1.0, Ea: 71128000.0} + rate-constant: {A: 1.8700000000000003e+17, b: -1.0, Ea: 17.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} - equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) type: falloff - low-P-rate-constant: {A: 602000000.0000001, b: 0.0, Ea: 12552000.0} - high-P-rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 9978840.0} + low-P-rate-constant: {A: 602000000000000.1, b: 0.0, Ea: 3.0000000000000004} + high-P-rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 2.3850000000000002} efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, H2O(28): 6.0, Ar: 0.5} - equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) type: falloff - low-P-rate-constant: {A: 1.0400000000000002e+20, b: -2.76, Ea: 6694400.000000001} - high-P-rate-constant: {A: 600000000000.0001, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 1.0400000000000001e+26, b: -2.76, Ea: 1.6000000000000003} + high-P-rate-constant: {A: 600000000000000.1, b: 0.0, Ea: 0.0} Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) type: falloff - low-P-rate-constant: {A: 2.6200000000000006e+27, b: -4.76, Ea: 10208960.000000002} - high-P-rate-constant: {A: 13900000000000.002, b: -0.534, Ea: 2242624.0000000005} + low-P-rate-constant: {A: 2.620000000000001e+33, b: -4.76, Ea: 2.440000000000001} + high-P-rate-constant: {A: 1.3900000000000002e+16, b: -0.534, Ea: 0.5360000000000001} Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) type: falloff - low-P-rate-constant: {A: 2.4700000000000005e+18, b: -2.57, Ea: 1778200.0} - high-P-rate-constant: {A: 1090000000.0000002, b: 0.48, Ea: -1087840.0000000005} + low-P-rate-constant: {A: 2.4700000000000006e+24, b: -2.57, Ea: 0.42500000000000004} + high-P-rate-constant: {A: 1090000000000.0002, b: 0.48, Ea: -0.2600000000000001} Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) type: falloff - low-P-rate-constant: {A: 1.2700000000000002e+26, b: -4.82, Ea: 27321520.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 15062400.000000004} + low-P-rate-constant: {A: 1.2700000000000002e+32, b: -4.82, Ea: 6.53} + high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 3.600000000000001} Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) type: falloff - low-P-rate-constant: {A: 2.2000000000000006e+24, b: -4.8, Ea: 23263040.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 10878400.000000002} + low-P-rate-constant: {A: 2.2000000000000006e+30, b: -4.8, Ea: 5.5600000000000005} + high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 2.6000000000000005} Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: {A: 4.360000000000001e+25, b: -4.65, Ea: 21254720.0} - high-P-rate-constant: {A: 1055000000.0000002, b: 0.5, Ea: 359824.0} + low-P-rate-constant: {A: 4.360000000000001e+31, b: -4.65, Ea: 5.08} + high-P-rate-constant: {A: 1055000000000.0002, b: 0.5, Ea: 0.08600000000000001} Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: {A: 4.660000000000001e+35, b: -7.44, Ea: 58910720.0} - high-P-rate-constant: {A: 2430000000.0000005, b: 0.515, Ea: 209200.00000000003} + low-P-rate-constant: {A: 4.660000000000001e+41, b: -7.44, Ea: 14.080000000000002} + high-P-rate-constant: {A: 2430000000000.0005, b: 0.515, Ea: 0.05000000000000001} Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) type: falloff - low-P-rate-constant: {A: 3.750000000000001e+27, b: -4.8, Ea: 7949600.000000001} - high-P-rate-constant: {A: 100000000000000.02, b: -1.0, Ea: 0.0} + low-P-rate-constant: {A: 3.7500000000000014e+33, b: -4.8, Ea: 1.9000000000000004} + high-P-rate-constant: {A: 1.0000000000000002e+17, b: -1.0, Ea: 0.0} Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) type: falloff - low-P-rate-constant: {A: 3.8000000000000006e+34, b: -7.27, Ea: 30208480.0} - high-P-rate-constant: {A: 5600000000.000001, b: 0.0, Ea: 10041600.0} + low-P-rate-constant: {A: 3.8000000000000005e+40, b: -7.27, Ea: 7.220000000000001} + high-P-rate-constant: {A: 5600000000000.001, b: 0.0, Ea: 2.4000000000000004} Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) type: falloff - low-P-rate-constant: {A: 1.4000000000000004e+24, b: -3.86, Ea: 13890880.000000004} - high-P-rate-constant: {A: 6080000000.000001, b: 0.27, Ea: 1171520.0} + low-P-rate-constant: {A: 1.4000000000000005e+30, b: -3.86, Ea: 3.320000000000001} + high-P-rate-constant: {A: 6080000000000.001, b: 0.27, Ea: 0.28} Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) type: falloff - low-P-rate-constant: {A: 6.0000000000000005e+35, b: -7.62, Ea: 29162480.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 7614880.000000001} + low-P-rate-constant: {A: 6.0000000000000004e+41, b: -7.62, Ea: 6.970000000000001} + high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 1.8200000000000003} Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) type: falloff - low-P-rate-constant: {A: 1.9900000000000005e+35, b: -7.08, Ea: 27970040.0} - high-P-rate-constant: {A: 521000000000000.06, b: -0.99, Ea: 6610720.0} + low-P-rate-constant: {A: 1.9900000000000004e+41, b: -7.08, Ea: 6.6850000000000005} + high-P-rate-constant: {A: 5.2100000000000006e+17, b: -0.99, Ea: 1.58} Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) type: falloff - low-P-rate-constant: {A: 5.07e+21, b: -3.42, Ea: 352920400.0} - high-P-rate-constant: {A: 43000.00000000001, b: 1.5, Ea: 333046400.0} + low-P-rate-constant: {A: 5.070000000000001e+27, b: -3.42, Ea: 84.35000000000001} + high-P-rate-constant: {A: 43000000.00000001, b: 1.5, Ea: 79.60000000000001} Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: 2 OH(5) (+M) <=> H2O2(8) (+M) type: falloff - low-P-rate-constant: {A: 2300000000000.0005, b: -0.9, Ea: -7112800.0} - high-P-rate-constant: {A: 74000000000.00002, b: -0.37, Ea: 0.0} + low-P-rate-constant: {A: 2.3000000000000005e+18, b: -0.9, Ea: -1.7000000000000002} + high-P-rate-constant: {A: 74000000000000.02, b: -0.37, Ea: 0.0} Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: {A: 4.000000000000001e+30, b: -5.92, Ea: 13137760.0} - high-P-rate-constant: {A: 2790000000000000.5, b: -1.43, Ea: 5564720.0} + low-P-rate-constant: {A: 4.0000000000000014e+36, b: -5.92, Ea: 3.14} + high-P-rate-constant: {A: 2.7900000000000005e+18, b: -1.43, Ea: 1.33} Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) type: falloff - low-P-rate-constant: {A: 2.6900000000000003e+22, b: -3.74, Ea: 8100224.000000001} - high-P-rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 2.6900000000000003e+28, b: -3.74, Ea: 1.9360000000000004} + high-P-rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) type: falloff - low-P-rate-constant: {A: 2.6900000000000006e+27, b: -5.11, Ea: 29685480.0} - high-P-rate-constant: {A: 810000000.0000001, b: 0.5, Ea: 18869840.000000004} + low-P-rate-constant: {A: 2.6900000000000005e+33, b: -5.11, Ea: 7.095000000000001} + high-P-rate-constant: {A: 810000000000.0001, b: 0.5, Ea: 4.510000000000002} Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) type: falloff - low-P-rate-constant: {A: 1.88e+32, b: -6.36, Ea: 21087360.0} - high-P-rate-constant: {A: 482000000000000.06, b: -1.16, Ea: 4790680.000000001} + low-P-rate-constant: {A: 1.8800000000000002e+38, b: -6.36, Ea: 5.04} + high-P-rate-constant: {A: 4.8200000000000006e+17, b: -1.16, Ea: 1.1450000000000002} Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - equation: 2 CH3(14) (+M) <=> ethane(1) (+M) type: falloff - low-P-rate-constant: {A: 3.400000000000001e+35, b: -7.03, Ea: 11556208.000000002} - high-P-rate-constant: {A: 67700000000000.01, b: -1.18, Ea: 2736336.000000001} + low-P-rate-constant: {A: 3.4000000000000008e+41, b: -7.03, Ea: 2.7620000000000005} + high-P-rate-constant: {A: 6.770000000000001e+16, b: -1.18, Ea: 0.6540000000000002} Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) type: falloff - low-P-rate-constant: {A: 1.5800000000000006e+48, b: -9.3, Ea: 409195200.0} - high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045680.00000006} + low-P-rate-constant: {A: 1.5800000000000005e+51, b: -9.3, Ea: 97.80000000000001} + high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 86.77000000000002} Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) type: falloff - low-P-rate-constant: {A: 4.820000000000001e+19, b: -2.8, Ea: 2468560.0000000005} - high-P-rate-constant: {A: 1970000000.0000002, b: 0.43, Ea: -1548080.0000000002} + low-P-rate-constant: {A: 4.820000000000001e+25, b: -2.8, Ea: 0.5900000000000002} + high-P-rate-constant: {A: 1970000000000.0002, b: 0.43, Ea: -0.3700000000000001} Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) type: falloff - low-P-rate-constant: {A: 1.0120000000000002e+36, b: -7.63, Ea: 16125136.000000002} - high-P-rate-constant: {A: 486500000.00000006, b: 0.422, Ea: -7342920.0} + low-P-rate-constant: {A: 1.0120000000000001e+42, b: -7.63, Ea: 3.8540000000000005} + high-P-rate-constant: {A: 486500000000.00006, b: 0.422, Ea: -1.7550000000000001} Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) type: falloff - low-P-rate-constant: {A: 2.7100000000000003e+68, b: -16.82, Ea: 54663960.00000001} - high-P-rate-constant: {A: 9430000000.000002, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 2.7100000000000005e+74, b: -16.82, Ea: 13.065000000000003} + high-P-rate-constant: {A: 9430000000000.002, b: 0.0, Ea: 0.0} Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + HO2(6) <=> H2O2(8) - rate-constant: {A: 5250690.0, b: 1.27262, Ea: 0.0} + rate-constant: {A: 5250690000.0, b: 1.27262, Ea: 0.0} - equation: CH(9) + H(4) <=> CH2(S)(13) - rate-constant: {A: 53700000000.0, b: 0.15395, Ea: 0.0} + rate-constant: {A: 53700000000000.0, b: 0.15395, Ea: 0.0} - equation: H(4) + HCCO(23) <=> CH2CO(25) - rate-constant: {A: 11386000000.0, b: 0.308956, Ea: 0.0} + rate-constant: {A: 11386000000000.0, b: 0.308956, Ea: 0.0} - equation: C2H(21) + OH(5) <=> HCCOH(30) - rate-constant: {A: 77000000000.0, b: 4.95181e-08, Ea: 0.0} + rate-constant: {A: 77000000000000.0, b: 4.95181e-08, Ea: 0.0} - equation: H(4) + HCCO(23) <=> HCCOH(30) - rate-constant: {A: 2805150000.0, b: 0.314888, Ea: 0.0} + rate-constant: {A: 2805150000000.0, b: 0.314888, Ea: 0.0} - equation: CH3(14) + HCO(12) <=> CH3CHO(32) - rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} + rate-constant: {A: 18100000000000.004, b: 0.0, Ea: 0.0} - equation: CH2CHO(31) + H(4) <=> CH3CHO(32) - rate-constant: {A: 78286700000.0, b: 0.0631113, Ea: 0.0} + rate-constant: {A: 78286700000000.0, b: 0.0631113, Ea: 0.0} - equation: 2 CH(9) <=> C2H2(22) - rate-constant: {A: 99813000.0, b: 0.610916, Ea: 0.0} + rate-constant: {A: 99813000000.0, b: 0.610916, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml index bf4dcac99ac..646f51379eb 100644 --- a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml @@ -1,20 +1,22 @@ generator: ck2yaml input-files: [chem.inp, tran.dat] -cantera-version: 2.6.0 -date: Sat, 07 Feb 2026 23:36:06 -0500 +cantera-version: 3.1.0 +date: Thu, 12 Feb 2026 17:20:54 -0500 -units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} +units: {length: cm, time: s, quantity: mol, activation-energy: + kcal/mol} phases: - name: gas thermo: ideal-gas elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), - O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), - CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), - C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), - C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), + HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), + CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), + CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), + CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), + CH2CHO(31), CH3CHO(32), C3H8(33)] kinetics: gas transport: mixture-averaged state: {T: 300.0, P: 1 atm} @@ -38,10 +40,10 @@ species: model: NASA7 temperature-ranges: [200.0, 1000.0, 6000.0] data: - - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, - 2.96747] - - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, - 5.87189] + - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, + -1046.98, 2.96747] + - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, + -923.949, 5.87189] transport: model: gas geometry: linear @@ -88,18 +90,19 @@ species: geometry: atom well-depth: 148.6 diameter: 3.758 - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. - This is the fallback method! Try improving transport databases! + note: Epsilon & sigma estimated with fixed Lennard Jones + Parameters. This is the fallback method! Try improving transport + databases! - name: ethane(1) composition: {C: 2, H: 6} thermo: model: NASA7 temperature-ranges: [100.0, 954.51, 5000.0] data: - - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, 2.28636966e-11, - -1.16203409e+04, 5.21033695] - - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, -6.21716348e-14, - -1.27217663e+04, -3.61740116] + - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, + 2.28636966e-11, -1.16203409e+04, 5.21033695] + - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, + -6.21716348e-14, -1.27217663e+04, -3.61740116] transport: model: gas geometry: nonlinear @@ -113,10 +116,10 @@ species: model: NASA7 temperature-ranges: [100.0, 4879.8, 5000.0] data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 2.92302441e+04, 5.12616427] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 2.74791187e+04, -6.32199355] + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, + 1.86626471e-22, 2.92302441e+04, 5.12616427] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, + 3.07921551e-15, 2.74791187e+04, -6.32199355] transport: model: gas geometry: atom @@ -129,10 +132,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1959.07, 5000.0] data: - - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, -7.76039045e-14, - -1031.35983, -3.90841661] - - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, 4.3432812e-15, - -596.155632, 0.112618494] + - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, + -7.76039045e-14, -1031.35983, -3.90841661] + - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, + 4.3432812e-15, -596.155632, 0.112618494] transport: model: gas geometry: linear @@ -147,10 +150,10 @@ species: model: NASA7 temperature-ranges: [100.0, 4879.8, 5000.0] data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 2.54742178e+04, -0.444972899] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 2.37230923e+04, -11.8931307] + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, + 1.86626471e-22, 2.54742178e+04, -0.444972899] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, + 3.07921551e-15, 2.37230923e+04, -11.8931307] transport: model: gas geometry: atom @@ -163,10 +166,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1145.76, 5000.0] data: - - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, -3.85939405e-13, - 3414.25418, 2.10434756] - - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, 2.48061367e-15, - 3579.38792, 4.57801469] + - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, + -3.85939405e-13, 3414.25418, 2.10434756] + - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, + 2.48061367e-15, 3579.38792, 4.57801469] transport: model: gas geometry: linear @@ -179,10 +182,10 @@ species: model: NASA7 temperature-ranges: [100.0, 932.15, 5000.0] data: - - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, 3.34908581e-12, - -986.754245, 4.63581294] - - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, -1.46337935e-14, - -910.368497, 8.1829188] + - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, + 3.34908581e-12, -986.754245, 4.63581294] + - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, + -1.46337935e-14, -910.368497, 8.1829188] transport: model: gas geometry: nonlinear @@ -196,10 +199,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1074.55, 5000.0] data: - - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, 1.45846258e-12, - -1038.58849, 4.68368183] - - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, -1.08782414e-14, - -1040.81728, 6.16755832] + - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, + 1.45846258e-12, -1038.58849, 4.68368183] + - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, + -1.08782414e-14, -1040.81728, 6.16755832] transport: model: gas geometry: linear @@ -214,10 +217,10 @@ species: model: NASA7 temperature-ranges: [100.0, 908.87, 5000.0] data: - - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, 6.41593098e-12, - -1.77211709e+04, 5.4590992] - - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, -3.35202076e-15, - -1.83029497e+04, -4.02244574] + - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, + 6.41593098e-12, -1.77211709e+04, 5.4590992] + - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, + -3.35202076e-15, -1.83029497e+04, -4.02244574] transport: model: gas geometry: nonlinear @@ -231,10 +234,10 @@ species: model: NASA7 temperature-ranges: [100.0, 926.51, 5000.0] data: - - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, -4.57034328e-12, - 7.5083855e+04, 1.61266477] - - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, -8.47548969e-15, - 7.56507618e+04, 11.3255931] + - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, + -4.57034328e-12, 7.5083855e+04, 1.61266477] + - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, + -8.47548969e-15, 7.56507618e+04, 11.3255931] transport: model: gas geometry: linear @@ -247,10 +250,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1571.64, 5000.0] data: - - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, 3.13595852e-13, - -1.42842549e+04, 3.57912151] - - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, -7.84023563e-15, - -1.41808823e+04, 6.71048256] + - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, + 3.13595852e-13, -1.42842549e+04, 3.57912151] + - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, + -7.84023563e-15, -1.41808823e+04, 6.71048256] transport: model: gas geometry: linear @@ -265,10 +268,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1104.61, 5000.0] data: - - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, 5.69496611e-13, - 4.58676802e+04, 0.533200599] - - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, -9.50338343e-15, - 4.60581391e+04, 4.77807727] + - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, + 5.69496611e-13, 4.58676802e+04, 0.533200599] + - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, + -9.50338343e-15, 4.60581391e+04, 4.77807727] transport: model: gas geometry: nonlinear @@ -281,10 +284,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1565.71, 5000.0] data: - - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, 2.2789219e-12, - 3995.7703, 2.75110901] - - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, -7.07455829e-14, - 2787.59278, -2.2286268] + - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, + 2.2789219e-12, 3995.7703, 2.75110901] + - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, + -7.07455829e-14, 2787.59278, -2.2286268] transport: model: gas geometry: nonlinear @@ -297,10 +300,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1442.37, 5000.0] data: - - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, 7.56181002e-13, - 5.04005786e+04, -0.411760728] - - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, -1.62952281e-14, - 5.06917394e+04, 6.78363319] + - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, + 7.56181002e-13, 5.04005786e+04, -0.411760728] + - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, + -1.62952281e-14, 5.06917394e+04, 6.78363319] transport: model: gas geometry: nonlinear @@ -313,10 +316,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1337.63, 5000.0] data: - - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, 8.49956934e-13, - 1.62856394e+04, 0.351741472] - - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, -2.22545603e-14, - 1.62239579e+04, 1.66035007] + - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, + 8.49956934e-13, 1.62856394e+04, 0.351741472] + - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, + -2.22545603e-14, 1.62239579e+04, 1.66035007] transport: model: gas geometry: nonlinear @@ -329,10 +332,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1402.28, 5000.0] data: - - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, 4.31816316e-12, - -1.42789565e+04, 2.39242073] - - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, -9.68413887e-14, - -1.50752145e+04, 4.310906] + - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, + 4.31816316e-12, -1.42789565e+04, 2.39242073] + - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, + -9.68413887e-14, -1.50752145e+04, 4.310906] transport: model: gas geometry: nonlinear @@ -346,10 +349,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1084.12, 5000.0] data: - - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, 5.97526027e-12, - -1.01619434e+04, -0.921283218] - - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, -5.66316007e-14, - -9719.97168, 13.9931301] + - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, + 5.97526027e-12, -1.01619434e+04, -0.921283218] + - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, + -5.66316007e-14, -9719.97168, 13.9931301] transport: model: gas geometry: nonlinear @@ -364,10 +367,10 @@ species: model: NASA7 temperature-ranges: [100.0, 988.88, 5000.0] data: - - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, 4.14301837e-12, - -4.84703148e+04, 5.97933601] - - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, -1.70916113e-14, - -4.89803462e+04, -1.43256811] + - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, + 4.14301837e-12, -4.84703148e+04, 5.97933601] + - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, + -1.70916113e-14, -4.89803462e+04, -1.43256811] transport: model: gas geometry: linear @@ -382,10 +385,10 @@ species: model: NASA7 temperature-ranges: [100.0, 895.02, 5000.0] data: - - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, 1.24872943e-11, - -4007.45885, 7.29205125] - - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, 5.18305721e-15, - -4890.52242, -6.34789026] + - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, + 1.24872943e-11, -4007.45885, 7.29205125] + - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, + 5.18305721e-15, -4890.52242, -6.34789026] transport: model: gas geometry: nonlinear @@ -400,10 +403,10 @@ species: model: NASA7 temperature-ranges: [100.0, 916.88, 5000.0] data: - - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, 1.35709435e-11, - -6.1526064, 6.81371105] - - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, -1.70337706e-14, - -449.804491, 4.33880987] + - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, + 1.35709435e-11, -6.1526064, 6.81371105] + - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, + -1.70337706e-14, -449.804491, 4.33880987] transport: model: gas geometry: nonlinear @@ -418,10 +421,10 @@ species: model: NASA7 temperature-ranges: [100.0, 952.14, 5000.0] data: - - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, 1.00834696e-11, - -2.63358548e+04, 6.36475927] - - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, -4.27805556e-14, - -2.65518956e+04, 8.0877776] + - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, + 1.00834696e-11, -2.63358548e+04, 6.36475927] + - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, + -4.27805556e-14, -2.65518956e+04, 8.0877776] transport: model: gas geometry: nonlinear @@ -435,10 +438,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1076.57, 5000.0] data: - - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, -5.41599321e-12, - 6.63980142e+04, 5.96677301] - - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, 1.29286839e-14, - 6.65295062e+04, 2.7963513] + - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, + -5.41599321e-12, 6.63980142e+04, 5.96677301] + - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, + 1.29286839e-14, 6.65295062e+04, 2.7963513] transport: model: gas geometry: linear @@ -452,10 +455,10 @@ species: model: NASA7 temperature-ranges: [100.0, 888.63, 5000.0] data: - - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, 5.50729325e-12, - 2.58526447e+04, 4.54464265] - - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, 2.21824257e-15, - 2.50944416e+04, -9.82620311] + - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, + 5.50729325e-12, 2.58526447e+04, 4.54464265] + - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, + 2.21824257e-15, 2.50944416e+04, -9.82620311] transport: model: gas geometry: linear @@ -469,10 +472,10 @@ species: model: NASA7 temperature-ranges: [100.0, 936.06, 5000.0] data: - - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, 8.64536182e-13, - 2.2595688e+04, 7.09495919] - - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, -1.04309541e-14, - 2.19694663e+04, -5.8023368] + - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, + 8.64536182e-13, 2.2595688e+04, 7.09495919] + - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, + -1.04309541e-14, 2.19694663e+04, -5.8023368] transport: model: gas geometry: nonlinear @@ -486,10 +489,10 @@ species: model: NASA7 temperature-ranges: [100.0, 931.96, 5000.0] data: - - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, 1.7290018e-11, - 3.47971783e+04, 6.09789219] - - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, -1.45095844e-14, - 3.38297738e+04, -4.87809437] + - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, + 1.7290018e-11, 3.47971783e+04, 6.09789219] + - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, + -1.45095844e-14, 3.38297738e+04, -4.87809437] transport: model: gas geometry: nonlinear @@ -503,10 +506,10 @@ species: model: NASA7 temperature-ranges: [100.0, 956.67, 5000.0] data: - - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, 6.71175543e-12, - -7123.94257, 5.74371829] - - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, -2.51634772e-14, - -7928.96904, -6.92134249] + - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, + 6.71175543e-12, -7123.94257, 5.74371829] + - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, + -2.51634772e-14, -7928.96904, -6.92134249] transport: model: gas geometry: nonlinear @@ -520,10 +523,10 @@ species: model: NASA7 temperature-ranges: [100.0, 940.45, 5000.0] data: - - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, 2.31763871e-11, - 5077.46136, 4.04626943] - - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, -2.94663143e-14, - 3936.266, -6.62431874] + - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, + 2.31763871e-11, 5077.46136, 4.04626943] + - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, + -2.94663143e-14, 3936.266, -6.62431874] transport: model: gas geometry: nonlinear @@ -537,10 +540,10 @@ species: model: NASA7 temperature-ranges: [100.0, 900.31, 5000.0] data: - - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, 2.37077381e-11, - 1.30660124e+04, 7.61638915] - - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, -1.43488224e-14, - 1.20640959e+04, -2.91080147] + - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, + 2.37077381e-11, 1.30660124e+04, 7.61638915] + - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, + -1.43488224e-14, 1.20640959e+04, -2.91080147] transport: model: gas geometry: nonlinear @@ -554,10 +557,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1130.23, 5000.0] data: - - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, 2.12832915e-13, - -3.02815866e+04, -0.311361934] - - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, -5.79385325e-15, - -2.99586146e+04, 5.91039666] + - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, + 2.12832915e-13, -3.02815866e+04, -0.311361934] + - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, + -5.79385325e-15, -2.99586146e+04, 5.91039666] transport: model: gas geometry: nonlinear @@ -572,10 +575,10 @@ species: model: NASA7 temperature-ranges: [100.0, 4879.8, 5000.0] data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 8.54745247e+04, 3.6597842] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 8.37233992e+04, -7.78837361] + - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, + 1.86626471e-22, 8.54745247e+04, 3.6597842] + - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, + 3.07921551e-15, 8.37233992e+04, -7.78837361] transport: model: gas geometry: atom @@ -588,10 +591,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1009.86, 5000.0] data: - - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, 2.66329645e-12, - 8782.03529, 7.19715805] - - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, -2.74093715e-14, - 7780.24104, -10.8313032] + - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, + 2.66329645e-12, 8782.03529, 7.19715805] + - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, + -2.74093715e-14, 7780.24104, -10.8313032] transport: model: gas geometry: nonlinear @@ -605,10 +608,10 @@ species: model: NASA7 temperature-ranges: [100.0, 914.22, 5000.0] data: - - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, 3.24065242e-11, - -2992.84324, 8.97316722] - - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, 3.70308341e-14, - -5941.56, -38.447418] + - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, + 3.24065242e-11, -2992.84324, 8.97316722] + - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, + 3.70308341e-14, -5941.56, -38.447418] transport: model: gas geometry: nonlinear @@ -622,10 +625,10 @@ species: model: NASA7 temperature-ranges: [100.0, 984.2, 5000.0] data: - - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, 1.58857257e-11, - -2.1380908e+04, 9.135651] - - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, -6.71005518e-14, - -2.23360269e+04, 0.900912176] + - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, + 1.58857257e-11, -2.1380908e+04, 9.135651] + - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, + -6.71005518e-14, -2.23360269e+04, 0.900912176] transport: model: gas geometry: nonlinear @@ -639,10 +642,10 @@ species: model: NASA7 temperature-ranges: [100.0, 986.58, 5000.0] data: - - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, 1.87061921e-11, - -1.44541763e+04, 10.0672893] - - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, -1.05990444e-13, - -1.60388983e+04, -8.8658229] + - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, + 1.87061921e-11, -1.44541763e+04, 10.0672893] + - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, + -1.05990444e-13, -1.60388983e+04, -8.8658229] transport: model: gas geometry: nonlinear @@ -1010,195 +1013,195 @@ reactions: - equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 type: three-body rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, ethane(1): 3.0, - Ar: 0.7} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, + ethane(1): 3.0, Ar: 0.7} - equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 type: three-body rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} - efficiencies: {CO2(17): 1.5, N2: 0.0, ethane(1): 1.5, O2(7): 0.0, H2O(28): 0.0, - Ar: 0.0} + efficiencies: {CO2(17): 1.5, N2: 0.0, ethane(1): 1.5, O2(7): 0.0, + H2O(28): 0.0, Ar: 0.0} - equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 type: three-body rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} - efficiencies: {H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, - Ar: 0.63} + efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, + ethane(1): 3.0, Ar: 0.63} - equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 type: three-body rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, Ar: 0.38, CH4(16): 2.0, H2O(28): 3.65, + efficiencies: {H2O(28): 3.65, Ar: 0.38, ethane(1): 3.0, CH4(16): 2.0, H2(3): 0.73} - equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 type: three-body rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 0.0, - H2(3): 2.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 0.0, H2(3): 2.0} - equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 type: falloff low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} - efficiencies: {Ar: 0.5, CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, - ethane(1): 3.0, O2(7): 6.0} + efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, + ethane(1): 3.0, O2(7): 6.0, Ar: 0.5} - equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 type: falloff low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 type: falloff low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} - efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 type: falloff low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 type: falloff low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} - efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, H2(3): 2.0, - CH4(16): 2.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0} - equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 type: falloff low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {H2(3): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, CH4(16): 2.0} - equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 type: falloff low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0} - equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 type: falloff low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0} - equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 type: falloff low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, - H2(3): 2.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 type: falloff low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} - equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 type: falloff low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 type: falloff low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} - efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, CH4(16): 2.0, - H2(3): 2.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 type: falloff low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, + H2(3): 2.0, H2O(28): 6.0} - equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 type: falloff low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 type: falloff low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 type: falloff low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0} - equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 type: falloff low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} - equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 type: falloff low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 type: falloff low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} - efficiencies: {H2(3): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, - CH4(16): 2.0} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0} - equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 type: falloff low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, Ar: 0.7, H2O(28): 6.0} - equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 type: falloff low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, - H2(3): 2.0, Ar: 0.7} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} - equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 type: falloff low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 type: falloff low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): + 2.0, H2O(28): 6.0, Ar: 0.7} - equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 type: falloff low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} + efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} - equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} - equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 From 96c8b20a7057129cbb18217cd252fd953e24398b Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 13 Feb 2026 14:29:32 -0500 Subject: [PATCH 434/700] Enhance compare_yaml_outputs add error handling and detailed output for mismatched rate constants --- .../rmgpy/yaml_writer/compare_yaml_outputs.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py index ecffc2f9125..b5634792250 100644 --- a/test/rmgpy/yaml_writer/compare_yaml_outputs.py +++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py @@ -189,8 +189,10 @@ def compare_reactions(self): try: gas1 = ct.Solution(yaml1_path) gas2 = ct.Solution(yaml2_path) - except Exception: + except Exception as e: # If Cantera can't load the files, fall back to equation-only comparison + print(f"Warning: Cantera failed to load one or both files: {e}") + print(f"Falling back to equation-only comparison") return True # Compare at a reference state @@ -210,4 +212,17 @@ def compare_reactions(self): # Use relative tolerance for comparison; allow 1% difference # to account for Chemkin format precision loss - return np.allclose(kf1, kf2, rtol=0.01, atol=1e-50) + result = np.allclose(kf1, kf2, rtol=0.01, atol=1e-50) + + if not result: + # Find which reactions differ + diff_mask = ~np.isclose(kf1, kf2, rtol=0.01, atol=1e-50) + diff_indices = np.where(diff_mask)[0] + print(f"\n{len(diff_indices)} reactions have mismatched rate constants:") + for idx in diff_indices[:5]: # Show first 5 + rxn1 = gas1.reaction(int(idx)) + rxn2 = gas2.reaction(int(idx)) + print(f" Reaction {idx}: {rxn1.equation}") + print(f" RMG kf: {kf1[idx]:.6e}, CK kf: {kf2[idx]:.6e}, ratio: {kf1[idx]/kf2[idx] if kf2[idx] != 0 else 'inf':.4f}") + + return result From b00bdc53f7813f8cc355d03b67e5850d93a428b1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 13 Feb 2026 16:34:08 -0500 Subject: [PATCH 435/700] yaml_canteraTest compares yaml files made in mainTest The `make test-all` will run mainTest first, which creates the files. If the files are found, they are compared. --- test/rmgpy/rmg/mainTest.py | 55 +++++++--------------------------- test/rmgpy/yaml_canteraTest.py | 26 ++++++++++++++++ 2 files changed, 37 insertions(+), 44 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 71f93f23239..f0887ce62d7 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -205,20 +205,11 @@ def test_make_cantera_input_file_directly(self): except: assert False, "The output Cantera file is not loadable in Cantera." - def test_cantera_input_files_match_chemkin(self): + def test_cantera_input_files_match_chemkin_later(self): """ - Test that the Cantera YAML files generated directly by RMG match - those converted from Chemkin files. + Copy the Cantera YAML files (generated directly by RMG and converted from Chemkin) + to the test data directory so that yaml_canteraTest can compare them. """ - import sys - # Add the yaml_writer test directory to path for importing CompareYaml - yaml_writer_test_dir = os.path.join( - originalPath, "..", "test", "rmgpy", "yaml_writer" - ) - sys.path.insert(0, yaml_writer_test_dir) - from compare_yaml_outputs import CompareYaml - sys.path.pop(0) - # Find the RMG-generated cantera yaml file (named chem{N}.yaml) cantera_dir = os.path.join(self.rmg.output_directory, "cantera") cantera_from_ck_dir = os.path.join( @@ -238,43 +229,19 @@ def test_cantera_input_files_match_chemkin(self): ) rmg_yaml_file = cantera_files[0] rmg_yaml_path = os.path.join(cantera_dir, rmg_yaml_file) - # copy it to test/rmgpy/test_data/yaml_writer_data/cantera/ - # so that it can be used in the yaml_writer tests as well - test_data_cantera_dir = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera') - shutil.copy(rmg_yaml_path, test_data_cantera_dir) + + # Copy RMG-generated YAML to test data directory + test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera', 'from_main_test.yaml') + shutil.copy(rmg_yaml_path, test_data_cantera_target) # Get the yaml file converted from chemkin ck_yaml_file = "chem.yaml" ck_yaml_path = os.path.join(cantera_from_ck_dir, ck_yaml_file) assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_file} not found" - # copy it to test/rmgpy/test_data/yaml_writer_data/chemkin/ - # so that it can be used in the yaml_writer tests as well - test_data_chemkin_dir = os.path.join(self.testDir, '..', 'yaml_writer_data', 'chemkin') - shutil.copy(ck_yaml_path, os.path.join(test_data_chemkin_dir, rmg_yaml_file)) # rename it to match the RMG-generated file for easier comparison in yaml_writer tests - - - # Compare the two yaml files - yaml_path_1 = os.path.join(cantera_dir, rmg_yaml_file) - yaml_path_2 = os.path.join(cantera_from_ck_dir, ck_yaml_file) - compare = CompareYaml(yaml_path_1, yaml_path_2) - - # Check species count matches - assert compare.compare_species_count(), ( - f"Species count mismatch between RMG yaml ({rmg_yaml_file}) " - f"and chemkin yaml ({ck_yaml_file})" - ) - - # Check species names match - assert compare.compare_species_names(), ( - f"Species names mismatch between RMG yaml ({rmg_yaml_file}) " - f"and chemkin yaml ({ck_yaml_file})" - ) - - # Check reactions match - assert compare.compare_reactions(), ( - f"Reactions mismatch between RMG yaml ({rmg_yaml_file}) " - f"and chemkin yaml ({ck_yaml_file})" - ) + + # Copy chemkin-converted YAML to test data directory + test_data_chemkin_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'chemkin', 'from_main_test.yaml') + shutil.copy(ck_yaml_path, test_data_chemkin_target) @pytest.mark.functional diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_canteraTest.py index b64f552b39d..114438f5024 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_canteraTest.py @@ -208,6 +208,32 @@ class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') +class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): + """Tests for comparing recently generated Cantera YAML files, gas-only mechanism. + + These are generated on the fly in the mainTest.py functional test and stored in the testing data directory. + """ + test_data_folder='test/rmgpy/test_data/yaml_writer_data/' + + @pytest.fixture(autouse=True, scope="class") + def find_recent_files(self, request): + """Find the YAML files generated by mainTest.""" + cantera_dir = os.path.join(self.test_data_folder, 'cantera') + chemkin_dir = os.path.join(self.test_data_folder, 'chemkin') + + if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): + pytest.skip("YAML test data directories not found. Run mainTest first.") + + # Look for specifically named files from mainTest + cantera_file = os.path.join(cantera_dir, 'from_main_test.yaml') + chemkin_file = os.path.join(chemkin_dir, 'from_main_test.yaml') + + if not os.path.exists(cantera_file) or not os.path.exists(chemkin_file): + pytest.skip("from_main_test.yaml files not found. Run mainTest first.") + + request.cls.yaml_path_1 = chemkin_file + request.cls.yaml_path_2 = cantera_file + @pytest.mark.skip(reason="These files are out of date.") class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, with surface mechanism. From 9bc667daa906b8c225271d7153ee3580241e1d03 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 15 Feb 2026 12:40:25 -0500 Subject: [PATCH 436/700] Making a new tool compare_cantera_yaml It is to compare two cantera yaml files. Not yet finished. --- rmgpy/tools/compare_cantera_yaml.py | 209 ++++++++++++++++++++++++++++ 1 file changed, 209 insertions(+) create mode 100755 rmgpy/tools/compare_cantera_yaml.py diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py new file mode 100755 index 00000000000..36daf878970 --- /dev/null +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -0,0 +1,209 @@ +#!/usr/bin/env python3 +""" +Script to compare two Cantera YAML files. + +This script loads two Cantera mechanism YAML files using cantera.Solution, +extracts their input_data dictionaries, and compares them for structural and +numerical differences. + +Usage: + python compare_cantera_yaml.py + python compare_cantera_yaml.py # Should show no differences +""" + +import sys +import argparse +from pathlib import Path +from typing import Any, List, Tuple + +import numpy as np +import cantera as ct + + +def load_cantera_input_data(yaml_file: str) -> dict: + """Load a Cantera YAML file and return its input_data dictionary. + + Parameters + ---------- + yaml_file : str + Path to the Cantera YAML file. + + Returns + ------- + dict + The input_data dictionary from ct.Solution. + + Raises + ------ + Exception + If the file cannot be loaded. + """ + try: + solution = ct.Solution(yaml_file) + return solution.input_data + except Exception as e: + raise Exception(f"Failed to load {yaml_file}: {e}") + + +def is_numeric(value: Any) -> bool: + """Check if a value is numeric (int or float).""" + return isinstance(value, (int, float, np.number)) and not isinstance(value, bool) + + +def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-9, + rtol: float = 1e-9) -> List[str]: + """Compare two values and return a list of differences. + + Parameters + ---------- + val1 : Any + First value to compare. + val2 : Any + Second value to compare. + path : str + Path in the dictionary (for error reporting). + atol : float + Absolute tolerance for numerical comparisons. + rtol : float + Relative tolerance for numerical comparisons. + + Returns + ------- + list of str + List of difference descriptions, empty if no differences found. + """ + differences = [] + print(path) # Debug: print the current path being compared + # Special handling for 'elements' path - normalize to title case and sort + if path == 'elements' and isinstance(val1, list) and isinstance(val2, list): + val1_normalized = sorted([str(v).title() for v in val1]) + val2_normalized = sorted([str(v).title() for v in val2]) + if val1_normalized != val2_normalized: + differences.append(f"Elements list mismatch at {path}: {val1_normalized} vs {val2_normalized}") + return differences + + # Type checking + if type(val1) != type(val2): + differences.append(f"Type mismatch at {path}: {type(val1).__name__} vs {type(val2).__name__}") + return differences + + # Handle dictionaries recursively + if isinstance(val1, dict): + for key in set(list(val1.keys()) + list(val2.keys())): + if key not in val1: + differences.append(f"Missing key in first file at {path}.{key}") + elif key not in val2: + differences.append(f"Missing key in second file at {path}.{key}") + else: + new_path = f"{path}.{key}" if path else key + differences.extend(compare_values(val1[key], val2[key], new_path, atol, rtol)) + + # Handle lists recursively + elif isinstance(val1, list): + if len(val1) != len(val2): + differences.append(f"List length mismatch at {path}: {len(val1)} vs {len(val2)}") + # Compare up to the shorter length + min_len = min(len(val1), len(val2)) + else: + min_len = len(val1) + + for i in range(min_len): + new_path = f"{path}[{i}]" + differences.extend(compare_values(val1[i], val2[i], new_path, atol, rtol)) + + # Handle numeric values with tolerance + elif is_numeric(val1) and is_numeric(val2): + # Use numpy.allclose for comparison + if not np.isclose(val1, val2, atol=atol, rtol=rtol): + # Compute the difference for reporting + abs_diff = abs(val1 - val2) + rel_diff = abs(abs_diff / val2) if val2 != 0 else float('inf') + differences.append(f"Numerical difference at {path}: {val1} vs {val2} " + f"(abs_diff={abs_diff:.2e}, rel_diff={rel_diff:.2e})") + + # Handle strings and other comparable types + elif val1 != val2: + differences.append(f"Value mismatch at {path}: {val1!r} vs {val2!r}") + + return differences + + +def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, + rtol: float = 1e-9) -> List[str]: + """Compare two Cantera YAML files. + + Parameters + ---------- + file1 : str + Path to the first YAML file. + file2 : str + Path to the second YAML file. + atol : float + Absolute tolerance for numerical comparisons. + rtol : float + Relative tolerance for numerical comparisons. + + Returns + ------- + list of str + List of difference descriptions (empty if files are equivalent). + """ + print(f"Loading {file1}...") + data1 = load_cantera_input_data(file1) + + print(f"Loading {file2}...") + data2 = load_cantera_input_data(file2) + + print("Comparing files...") + return compare_values(data1, data2, "", atol, rtol) + + +def main(): + """Main entry point for the comparison script.""" + parser = argparse.ArgumentParser( + description="Compare two Cantera YAML mechanism files.", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + python compare_cantera_yaml.py file1.yaml file2.yaml + python compare_cantera_yaml.py file1.yaml file1.yaml # Should show no differences + python compare_cantera_yaml.py --abs-tol 1e-6 file1.yaml file2.yaml + """ + ) + parser.add_argument("file1", help="First Cantera YAML file") + parser.add_argument("file2", help="Second Cantera YAML file") + parser.add_argument("--abs-tol", type=float, default=1e-9, + help="Absolute tolerance for numerical comparisons (default: 1e-9)") + parser.add_argument("--rel-tol", type=float, default=1e-9, + help="Relative tolerance for numerical comparisons (default: 1e-9)") + + args = parser.parse_args() + + # Verify files exist + for file_path in [args.file1, args.file2]: + if not Path(file_path).exists(): + print(f"Error: File not found: {file_path}", file=sys.stderr) + sys.exit(1) + + try: + differences = compare_yaml_files( + args.file1, args.file2, args.abs_tol, args.rel_tol + ) + + print("\n" + "="*70) + if len(differences) == 0: + print("✓ Files are equivalent (within specified tolerances)") + sys.exit(0) + else: + print(f"✗ Files differ. Found {len(differences)} difference(s):\n") + for i, diff in enumerate(differences, 1): + print(f"{i:3d}. {diff}") + sys.exit(1) + + except Exception as e: + print(f"Error: {e}", file=sys.stderr) + sys.exit(1) + + +if __name__ == "__main__": + main() From 2ccd0be314d28b0c2c43e091f2bf36d0cefb5558 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 15 Feb 2026 23:03:50 -0500 Subject: [PATCH 437/700] Refactor Cantera YAML comparison tool with enhanced features Major rewrite of compare_cantera_yaml.py to provide more comprehensive and intelligent comparison of Cantera mechanism files: - Add CanteraModel class to manage both raw YAML structure and loaded Cantera Solution objects for each phase - Implement structured comparison by phase, species, and reactions instead of naive dictionary comparison - Add special handling for elements blocks - Add tolerance relaxation for Troe parameters (rtol=5e-3) due to rounding - Ignore variant metadata fields: cantera-version, input-files, date, reference-pressure - Update default tolerances (abs: 1e-11, rel: 1e-3) for better practical usage - Add default test files when run without arguments for easier testing - Improve error reporting with detailed paths for differences --- rmgpy/tools/compare_cantera_yaml.py | 329 ++++++++++++++++++++++++---- 1 file changed, 292 insertions(+), 37 deletions(-) diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index 36daf878970..d4590288c1a 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -2,9 +2,11 @@ """ Script to compare two Cantera YAML files. -This script loads two Cantera mechanism YAML files using cantera.Solution, -extracts their input_data dictionaries, and compares them for structural and -numerical differences. +This script loads two Cantera mechanism YAML files and compares them for +structural and numerical differences. It compares: +- YAML metadata (generator, date, units, elements, phases structure) +- Species in each phase (names, ordering, and thermodynamic data) +- Reactions in each phase (equations, ordering, and kinetic data) Usage: python compare_cantera_yaml.py @@ -14,35 +16,131 @@ import sys import argparse from pathlib import Path -from typing import Any, List, Tuple +from typing import Any, List, Tuple, Dict, Optional +from itertools import chain +import yaml import numpy as np import cantera as ct -def load_cantera_input_data(yaml_file: str) -> dict: - """Load a Cantera YAML file and return its input_data dictionary. +class CanteraModel: + """ + Represents a Cantera mechanism model loaded from a YAML file. - Parameters + This class loads both the raw YAML data structure and creates Cantera + Solution objects for each phase defined in the file. + + Attributes ---------- - yaml_file : str + file_path : str Path to the Cantera YAML file. + yaml_data : dict + Raw YAML data loaded from the file. + phases : dict + Dictionary of phase_name -> ct.Solution objects. + """ + + def __init__(self, file_path: str): + """ + Initialize a CanteraModel by loading the YAML file and all its phases. - Returns - ------- - dict - The input_data dictionary from ct.Solution. + Parameters + ---------- + file_path : str + Path to the Cantera YAML file. + + Raises + ------ + FileNotFoundError + If the file does not exist. + Exception + If loading the YAML or phases fails. + """ + self.file_path = file_path + self.yaml_data = None + self.phases = {} - Raises - ------ - Exception - If the file cannot be loaded. - """ - try: - solution = ct.Solution(yaml_file) - return solution.input_data - except Exception as e: - raise Exception(f"Failed to load {yaml_file}: {e}") + # Load the YAML structure + self.load_yaml() + + # Extract phase names and load each phase + phase_names = self._extract_phase_names() + self.load_phases(phase_names) + + def load_yaml(self) -> dict: + """ + Load the YAML file into a dictionary structure using yaml.safe_load(). + + Returns + ------- + dict + The YAML data structure. + + Raises + ------ + FileNotFoundError + If the file does not exist. + yaml.YAMLError + If YAML parsing fails. + """ + with open(self.file_path, 'r') as f: + self.yaml_data = yaml.safe_load(f) + return self.yaml_data + + def _extract_phase_names(self) -> List[str]: + """ + Extract phase names from the loaded YAML data. + + Returns + ------- + list of str + List of phase names found in the 'phases' section. + + Raises + ------ + ValueError + If 'phases' key is not found or is empty. + """ + if self.yaml_data is None: + raise ValueError("YAML data not loaded. Call load_yaml() first.") + + if 'phases' not in self.yaml_data: + raise ValueError(f"No 'phases' key found in {self.file_path}") + + phases_list = self.yaml_data['phases'] + if not phases_list: + raise ValueError(f"'phases' list is empty in {self.file_path}") + + phase_names = [] + for phase in phases_list: + if 'name' not in phase: + raise ValueError(f"Phase definition missing 'name' key: {phase}") + phase_names.append(phase['name']) + + return phase_names + + def load_phases(self, phase_names: List[str]): + """ + Load Cantera Solution objects for the specified phases. + + Parameters + ---------- + phase_names : list of str + List of phase names to load from the YAML file. + + Raises + ------ + RuntimeError + If loading any phase fails (with original exception chained). + """ + for phase_name in phase_names: + try: + solution = ct.Solution(self.file_path, name=phase_name) + self.phases[phase_name] = solution + except Exception as e: + raise RuntimeError(f"Failed to load phase '{phase_name}' from {self.file_path}") from e + def is_numeric(value: Any) -> bool: @@ -50,8 +148,8 @@ def is_numeric(value: Any) -> bool: return isinstance(value, (int, float, np.number)) and not isinstance(value, bool) -def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-9, - rtol: float = 1e-9) -> List[str]: +def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-12, + rtol: float = 1e-3) -> List[str]: """Compare two values and return a list of differences. Parameters @@ -73,14 +171,26 @@ def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-9, List of difference descriptions, empty if no differences found. """ differences = [] - print(path) # Debug: print the current path being compared + + ### SPECIAL CASES # Special handling for 'elements' path - normalize to title case and sort - if path == 'elements' and isinstance(val1, list) and isinstance(val2, list): - val1_normalized = sorted([str(v).title() for v in val1]) - val2_normalized = sorted([str(v).title() for v in val2]) - if val1_normalized != val2_normalized: - differences.append(f"Elements list mismatch at {path}: {val1_normalized} vs {val2_normalized}") - return differences + if path.split('.')[-1] == 'elements': + if isinstance(val1[0], str) and isinstance(val2[0], str): + val1_normalized = sorted([v.title() for v in val1]) + val2_normalized = sorted([v.title() for v in val2]) + if val1_normalized != val2_normalized: + differences.append(f"Elements list mismatch at {path}: {val1_normalized} vs {val2_normalized}") + return differences + if isinstance(val1[0], dict) and isinstance(val2[0], dict): + for d in chain(val1, val2): + d['symbol'] = d['symbol'].title() + val1 = sorted([d for d in val1], key=lambda x: x['symbol']) + val2 = sorted([d for d in val2], key=lambda x: x['symbol']) + + if path.endswith('Troe.T1') or path.endswith('Troe.T2') or path.endswith('Troe.T3'): + rtol = 5e-3 # Relax tolerance due to rounding. + + ### END OF SPECIAL CASES # Type checking if type(val1) != type(val2): @@ -91,6 +201,8 @@ def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-9, if isinstance(val1, dict): for key in set(list(val1.keys()) + list(val2.keys())): if key not in val1: + if key == 'reference-pressure': + continue # Ignore missing 'reference-pressure' key SPECIAL CASE differences.append(f"Missing key in first file at {path}.{key}") elif key not in val2: differences.append(f"Missing key in second file at {path}.{key}") @@ -132,6 +244,9 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, rtol: float = 1e-9) -> List[str]: """Compare two Cantera YAML files. + Compares both the raw YAML structure and the species/reactions + from loaded Cantera phases. + Parameters ---------- file1 : str @@ -148,14 +263,147 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, list of str List of difference descriptions (empty if files are equivalent). """ + differences = [] + print(f"Loading {file1}...") - data1 = load_cantera_input_data(file1) + model1 = CanteraModel(file1) print(f"Loading {file2}...") - data2 = load_cantera_input_data(file2) + model2 = CanteraModel(file2) + + # Compare YAML metadata (everything except species and reactions details) + print("Comparing YAML metadata...") + yaml_meta1 = _extract_yaml_metadata(model1.yaml_data) + yaml_meta2 = _extract_yaml_metadata(model2.yaml_data) + + for ym in (yaml_meta1, yaml_meta2): + ym.pop('cantera-version', None) + ym.pop('input-files', None) + ym.pop('date', None) + + differences.extend(compare_values(yaml_meta1, yaml_meta2, "metadata", atol, rtol)) + + # Compare phases sequentially by order + print("Comparing phases...") + phase_list1 = model1.yaml_data.get('phases', []) + phase_list2 = model2.yaml_data.get('phases', []) + + if len(phase_list1) != len(phase_list2): + differences.append(f"Number of phases differs: {len(phase_list1)} vs {len(phase_list2)}") + + # Compare each phase by order + for i in range(max(len(phase_list1), len(phase_list2))): + if i >= len(phase_list1): + differences.append(f"Phase {i}: missing in first file (second file has '{phase_list2[i]['name']}')") + continue + if i >= len(phase_list2): + differences.append(f"Phase {i}: missing in second file (first file has '{phase_list1[i]['name']}')") + continue + + phase1_name = phase_list1[i]['name'] + phase2_name = phase_list2[i]['name'] + + if phase1_name != phase2_name: + differences.append(f"Phase {i}: name differs: '{phase1_name}' vs '{phase2_name}'") + + # Compare species and reactions for this phase + phase1 = model1.phases[phase1_name] + phase2 = model2.phases[phase2_name] + + print(f" Comparing species in phase '{phase1_name}'...") + differences.extend(_compare_species(phase1, phase2, phase1_name, atol, rtol)) + + print(f" Comparing reactions in phase '{phase1_name}'...") + differences.extend(_compare_reactions(phase1, phase2, phase1_name, atol, rtol)) - print("Comparing files...") - return compare_values(data1, data2, "", atol, rtol) + return differences + + +def _extract_yaml_metadata(yaml_data: dict) -> dict: + """Extract metadata from YAML (excluding detailed species/reactions).""" + metadata = yaml_data.copy() + # Remove the detailed species and reactions lists since we'll compare those separately + metadata.pop('species', None) + metadata.pop('reactions', None) + reaction_blocks = [] + for phase in yaml_data.get('phases', []): + reaction_blocks.extend(phase.get('reactions', [])) + for block in reaction_blocks: + if block not in metadata: + raise ValueError(f"Phase mentioned reactions block '{block}' not found in top-level YAML keys") + metadata.pop(block) + return metadata + + +def _compare_species(phase1, phase2, phase_name: str, atol: float, rtol: float) -> List[str]: + """Compare species in two Cantera phases.""" + differences = [] + + species1 = phase1.species() + species2 = phase2.species() + + if len(species1) != len(species2): + differences.append(f"Phase '{phase_name}': number of species differs: {len(species1)} vs {len(species2)}") + + # Build name-to-species mapping for comparison + species1_map = {sp.name: sp for sp in species1} + species2_map = {sp.name: sp for sp in species2} + + # Check for missing species + names1 = set(species1_map.keys()) + names2 = set(species2_map.keys()) + + for name in names1 - names2: + differences.append(f"Phase '{phase_name}': species '{name}' only in first file") + for name in names2 - names1: + differences.append(f"Phase '{phase_name}': species '{name}' only in second file") + + # Compare ordering + common_species = names1 & names2 + for i in range(min(len(species1), len(species2))): + if species1[i].name != species2[i].name: + if species1[i].name in common_species and species2[i].name in common_species: + differences.append(f"Phase '{phase_name}': species order differs at index {i}: " + f"'{species1[i].name}' vs '{species2[i].name}'") + break # Only report first ordering difference + + # Compare input_data for matching species + for name in sorted(common_species): + sp1 = species1_map[name] + sp2 = species2_map[name] + path = f"phase.{phase_name}.species.{name}" + differences.extend(compare_values(sp1.input_data, sp2.input_data, path, atol, rtol)) + + return differences + + +def _compare_reactions(phase1, phase2, phase_name: str, atol: float, rtol: float) -> List[str]: + """Compare reactions in two Cantera phases.""" + differences = [] + + reactions1 = phase1.reactions() + reactions2 = phase2.reactions() + + if len(reactions1) != len(reactions2): + differences.append(f"Phase '{phase_name}': number of reactions differs: {len(reactions1)} vs {len(reactions2)}") + + # Compare reactions by index (assuming they should be in the same order) + for i in range(min(len(reactions1), len(reactions2))): + rxn1 = reactions1[i] + rxn2 = reactions2[i] + + # Check if equations match + eq1 = rxn1.equation + eq2 = rxn2.equation + + if eq1 != eq2: + differences.append(f"Phase '{phase_name}': reaction {i} equation differs: '{eq1}' vs '{eq2}'") + # Still compare input_data even if equations differ + + path = f"phase.{phase_name}.reaction[{i}]" + differences.extend(compare_values(rxn1.input_data, rxn2.input_data, path, atol, rtol)) + + return differences def main(): @@ -172,9 +420,9 @@ def main(): ) parser.add_argument("file1", help="First Cantera YAML file") parser.add_argument("file2", help="Second Cantera YAML file") - parser.add_argument("--abs-tol", type=float, default=1e-9, + parser.add_argument("--abs-tol", type=float, default=1e-11, help="Absolute tolerance for numerical comparisons (default: 1e-9)") - parser.add_argument("--rel-tol", type=float, default=1e-9, + parser.add_argument("--rel-tol", type=float, default=1e-3, help="Relative tolerance for numerical comparisons (default: 1e-9)") args = parser.parse_args() @@ -206,4 +454,11 @@ def main(): if __name__ == "__main__": + if len(sys.argv) == 1: + print("No arguments provided. Using default test files for demonstration.") + sys.argv.extend([ + "test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml", + "test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml" + ]) + main() From 70d8ff1ae7ff0006eb697f3e65225a16dfe9fc5e Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 15 Feb 2026 23:35:56 -0500 Subject: [PATCH 438/700] The compare_cantera_yaml script now uses logging. So it can be used inside RMG, as well as as a stand-alone script. --- rmgpy/tools/compare_cantera_yaml.py | 34 +++++++++++++++-------------- 1 file changed, 18 insertions(+), 16 deletions(-) diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index d4590288c1a..00b823efe84 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -15,8 +15,9 @@ import sys import argparse +import logging from pathlib import Path -from typing import Any, List, Tuple, Dict, Optional +from typing import Any, List, Tuple, Dict from itertools import chain import yaml @@ -240,8 +241,8 @@ def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-12, return differences -def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, - rtol: float = 1e-9) -> List[str]: +def compare_yaml_files(file1: str, file2: str, atol: float = 1e-12, + rtol: float = 1e-3) -> List[str]: """Compare two Cantera YAML files. Compares both the raw YAML structure and the species/reactions @@ -265,14 +266,14 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, """ differences = [] - print(f"Loading {file1}...") + logging.info("Loading %s...", file1) model1 = CanteraModel(file1) - print(f"Loading {file2}...") + logging.info("Loading %s...", file2) model2 = CanteraModel(file2) # Compare YAML metadata (everything except species and reactions details) - print("Comparing YAML metadata...") + logging.info("Comparing YAML metadata...") yaml_meta1 = _extract_yaml_metadata(model1.yaml_data) yaml_meta2 = _extract_yaml_metadata(model2.yaml_data) @@ -284,7 +285,7 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, differences.extend(compare_values(yaml_meta1, yaml_meta2, "metadata", atol, rtol)) # Compare phases sequentially by order - print("Comparing phases...") + logging.info("Comparing phases...") phase_list1 = model1.yaml_data.get('phases', []) phase_list2 = model2.yaml_data.get('phases', []) @@ -310,10 +311,10 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-9, phase1 = model1.phases[phase1_name] phase2 = model2.phases[phase2_name] - print(f" Comparing species in phase '{phase1_name}'...") + logging.info(" Comparing species in phase '%s'...", phase1_name) differences.extend(_compare_species(phase1, phase2, phase1_name, atol, rtol)) - print(f" Comparing reactions in phase '{phase1_name}'...") + logging.info(" Comparing reactions in phase '%s'...", phase1_name) differences.extend(_compare_reactions(phase1, phase2, phase1_name, atol, rtol)) return differences @@ -408,6 +409,7 @@ def _compare_reactions(phase1, phase2, phase_name: str, atol: float, rtol: float def main(): """Main entry point for the comparison script.""" + logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") parser = argparse.ArgumentParser( description="Compare two Cantera YAML mechanism files.", formatter_class=argparse.RawDescriptionHelpFormatter, @@ -430,7 +432,7 @@ def main(): # Verify files exist for file_path in [args.file1, args.file2]: if not Path(file_path).exists(): - print(f"Error: File not found: {file_path}", file=sys.stderr) + logging.error("File not found: %s", file_path) sys.exit(1) try: @@ -438,24 +440,24 @@ def main(): args.file1, args.file2, args.abs_tol, args.rel_tol ) - print("\n" + "="*70) if len(differences) == 0: - print("✓ Files are equivalent (within specified tolerances)") + logging.info("Files are equivalent (within specified tolerances)") sys.exit(0) else: - print(f"✗ Files differ. Found {len(differences)} difference(s):\n") + logging.warning("Files differ. Found %d difference(s):", len(differences)) for i, diff in enumerate(differences, 1): - print(f"{i:3d}. {diff}") + logging.info("%3d. %s", i, diff) sys.exit(1) except Exception as e: - print(f"Error: {e}", file=sys.stderr) + logging.exception("Error: %s", e) sys.exit(1) if __name__ == "__main__": + logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") if len(sys.argv) == 1: - print("No arguments provided. Using default test files for demonstration.") + logging.info("No arguments provided. Using default test files for demonstration.") sys.argv.extend([ "test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml", "test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml" From 168ea0d53bd476eb40f141d58017ef2b3e95ea6b Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 15 Feb 2026 23:38:43 -0500 Subject: [PATCH 439/700] At end of model generation, compare direct yaml and ck2yaml outputs. Using the new tool, we compare the ck2yaml version and the directly-written version. Adds YAML comparison reporting with logging and file output Introduces a utility to compare Cantera YAML files and generate detailed comparison reports via both logging and optional file output. --- rmgpy/rmg/main.py | 27 ++++++++-- rmgpy/tools/compare_cantera_yaml.py | 78 ++++++++++++++++++++++++++++- 2 files changed, 99 insertions(+), 6 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 0bbd1740cc3..4e08196a86f 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -81,6 +81,7 @@ from rmgpy.stats import ExecutionStatsWriter from rmgpy.thermo.thermoengine import submit from rmgpy.tools.plot import plot_sensitivity +from rmgpy.tools.compare_cantera_yaml import compare_yaml_files, compare_yaml_files_and_report from rmgpy.tools.uncertainty import Uncertainty, process_local_results from rmgpy.yaml_rms import RMSWriter from rmgpy.yaml_cantera import CanteraWriter @@ -1235,9 +1236,11 @@ def execute(self, initialize=True, **kwargs): # generate Cantera files chem.yaml & chem_annotated.yaml in a designated `cantera` output folder try: + logging.info("Translating final chemkin file into Cantera yaml.") + translated_cantera_file = None if any([s.contains_surface_site() for s in self.reaction_model.core.species]): # Surface (catalytic) chemistry - self.generate_cantera_files_from_chemkin( + translated_cantera_file = self.generate_cantera_files_from_chemkin( os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), ) @@ -1274,8 +1277,22 @@ def execute(self, initialize=True, **kwargs): _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) else: # gas phase only - self.generate_cantera_files_from_chemkin(os.path.join(self.output_directory, "chemkin", "chem.inp")) - self.generate_cantera_files_from_chemkin(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")) + translated_cantera_file = self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem.inp") + ) + self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem_annotated.inp") + ) + + # Compare translated Cantera files and directly generated Cantera files + + compare_yaml_files_and_report(translated_cantera_file, + os.path.join(self.output_directory, "cantera", "chem.yaml"), + output=os.path.join(self.output_directory, "cantera", "comparison_report.txt")) + compare_yaml_files_and_report(translated_cantera_file, + os.path.join(self.output_directory, "cantera2", "chem.yaml"), + output=os.path.join(self.output_directory, "cantera2", "comparison_report.txt")) + except EnvironmentError: logging.exception("Could not generate Cantera files due to EnvironmentError. Check read\\write privileges in output directory.") except Exception: @@ -1849,7 +1866,8 @@ def process_reactions_to_species(self, obj): def generate_cantera_files_from_chemkin(self, chemkin_file, **kwargs): """ Convert a chemkin mechanism chem.inp file to a cantera mechanism file chem.yaml - and save it in the cantera directory + and save it in the cantera directory. + Returns the path to the generated cantera file. """ transport_file = os.path.join(os.path.dirname(chemkin_file), "tran.dat") file_name = os.path.splitext(os.path.basename(chemkin_file))[0] + ".yaml" @@ -1871,6 +1889,7 @@ def generate_cantera_files_from_chemkin(self, chemkin_file, **kwargs): logging.exception("Error converting to Cantera format.") logging.info("Trying again without transport data file.") parser.convert_mech(chemkin_file, out_name=out_name, quiet=True, permissive=True, **kwargs) + return out_name def initialize_reaction_threshold_and_react_flags(self): num_core_species = len(self.reaction_model.core.species) diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index 00b823efe84..9837c1782af 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -320,6 +320,80 @@ def compare_yaml_files(file1: str, file2: str, atol: float = 1e-12, return differences +def compare_yaml_files_and_report(file1: str, file2: str, atol: float = 1e-12, + rtol: float = 1e-3, output: str = None) -> bool: + """Compare two Cantera YAML files and report results via logging. + + Performs a comparison between two Cantera YAML files and logs the results. + If an output file path is provided, also writes the report to that file. + + Parameters + ---------- + file1 : str + Path to the first YAML file. + file2 : str + Path to the second YAML file. + atol : float + Absolute tolerance for numerical comparisons. + rtol : float + Relative tolerance for numerical comparisons. + output : str, optional + Path to an output file where the comparison report will be written. + If None, only logs to the standard logger. + + Returns + ------- + bool + True if files are equivalent (no differences), False otherwise. + """ + file_handler = None + root_logger = logging.getLogger() + + try: + # Set up optional file logging if output path provided + if output: + file_handler = logging.FileHandler(output) + file_handler.setFormatter(logging.Formatter("%(message)s")) + root_logger.addHandler(file_handler) + + # Check if file2 exists + if not Path(file2).exists(): + logging.warning("Cantera YAML comparison skipped; file not found at %s", file2) + return False + + # Perform the comparison + differences = compare_yaml_files(file1, file2, atol, rtol) + + # Log and report results + if differences: + logging.warning( + "Cantera YAML comparison found %d difference(s) between %s and %s", + len(differences), + file1, + file2, + ) + for diff in differences: + logging.warning(" %s", diff) + return False + else: + logging.info( + "Cantera YAML comparison passed: %s matches %s", + file1, + file2, + ) + return True + + except Exception: + logging.exception("Cantera YAML comparison failed for %s vs %s", file1, file2) + return False + + finally: + # Clean up the file handler + if file_handler: + file_handler.close() + root_logger.removeHandler(file_handler) + + def _extract_yaml_metadata(yaml_data: dict) -> dict: """Extract metadata from YAML (excluding detailed species/reactions).""" metadata = yaml_data.copy() @@ -459,8 +533,8 @@ def main(): if len(sys.argv) == 1: logging.info("No arguments provided. Using default test files for demonstration.") sys.argv.extend([ - "test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml", - "test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml" + "test/rmgpy/test_data/yaml_writer_data/chemkin/from_main_test.yaml", + "test/rmgpy/test_data/yaml_writer_data/cantera/from_main_test.yaml" ]) main() From 8de144eb672a2e3edda9ab634b5936efdf0573a5 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 13 Dec 2025 14:34:08 +0200 Subject: [PATCH 440/700] Added a Cantera writer module --- rmgpy/cantera.py | 554 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 554 insertions(+) create mode 100644 rmgpy/cantera.py diff --git a/rmgpy/cantera.py b/rmgpy/cantera.py new file mode 100644 index 00000000000..4b8de0a1f4f --- /dev/null +++ b/rmgpy/cantera.py @@ -0,0 +1,554 @@ +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +This module contains functions for writing of Cantera input files. +""" + +from typing import Union, TYPE_CHECKING + +import os +import shutil +import logging +import yaml + +from rmgpy.data.kinetics.family import TemplateReaction +from rmgpy.data.kinetics.library import LibraryReaction +from rmgpy.kinetics import ( + Arrhenius, PDepArrhenius, MultiArrhenius, MultiPDepArrhenius, + Chebyshev, Troe, Lindemann, ThirdBody, +) +from rmgpy.reaction import Reaction +from rmgpy.rmg.pdep import PDepReaction +from rmgpy.util import make_output_subdirectory +import rmgpy.constants as constants + +if TYPE_CHECKING: + from rmgpy.species import Species + from rmgpy.molecule.molecule import Molecule + + +SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', 11: 'Na', + 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca', 21: 'Sc', + 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn', 31: 'Ga', + 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr', 41: 'Nb', + 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn', 51: 'Sb', + 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd', 61: 'Pm', + 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb', 71: 'Lu', + 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg', 81: 'Tl', + 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th', 91: 'Pa', + 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm', 101: 'Md', + 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', 110: 'Ds', + 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} +NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} + + +class CanteraWriter(object): + """ + This class listens to a RMG subject and writes a Cantera YAML file + with the current state of the RMG model at every iteration. + """ + + def __init__(self, output_directory=''): + self.output_directory = output_directory + make_output_subdirectory(output_directory, 'cantera') + + def update(self, rmg): + """ + Called whenever the RMG subject notifies listeners. + """ + save_cantera_files(rmg) + + +def save_cantera_files(rmg): + """ + Save the current reaction model to a set of Cantera YAML files. + + Creates: + 1. chem{N}.yaml (where N is num species) + 2. chem.yaml (latest copy) + """ + # Ensure subdirectory exists + cantera_dir = os.path.join(rmg.output_directory, 'cantera') + if not os.path.exists(cantera_dir): + os.mkdir(cantera_dir) + # ------------------------------------------------------------------------- + # 1. Save Core Model + # ------------------------------------------------------------------------- + num_species = len(rmg.reaction_model.core.species) + + # Define paths + this_cantera_path = os.path.join(rmg.output_directory, 'cantera', + 'chem{0:04d}.yaml'.format(num_species)) + latest_cantera_path = os.path.join(rmg.output_directory, 'cantera', 'chem.yaml') + + logging.info(f"Saving current model core to Cantera file: {this_cantera_path}") + + # Write the YAML file + save_cantera_model(rmg.reaction_model.core, this_cantera_path) + + # Copy to 'chem.yaml' (The latest file) + if os.path.exists(latest_cantera_path): + os.unlink(latest_cantera_path) + shutil.copy2(this_cantera_path, latest_cantera_path) + + # ------------------------------------------------------------------------- + # 2. Save Edge Model (Optional, matching ChemkinWriter logic) + # ------------------------------------------------------------------------- + if rmg.save_edge_species: + logging.info('Saving current model core and edge to Cantera file...') + + this_edge_path = os.path.join(rmg.output_directory, 'cantera', + 'chem_edge{0:04d}.yaml'.format(num_species)) + latest_edge_path = os.path.join(rmg.output_directory, 'cantera', 'chem_edge.yaml') + + # Combine core and edge + # Note: We create a temporary object or just pass list concatenations + # Creating a simple container object to pass to save_cantera_model + class MixedModel: + def __init__(self, species, reactions): + self.species = species + self.reactions = reactions + + edge_model = MixedModel( + rmg.reaction_model.core.species + rmg.reaction_model.edge.species, + rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions + ) + + save_cantera_model(edge_model, this_edge_path) + + if os.path.exists(latest_edge_path): + os.unlink(latest_edge_path) + shutil.copy2(this_edge_path, latest_edge_path) + + +def save_cantera_model(model_container, path): + """ + Internal helper to generate the dictionary and write the YAML file. + model_container must have .species and .reactions attributes (lists). + """ + species_list = model_container.species + reaction_list = model_container.reactions + + is_plasma = False + for sp in species_list: + if sp.is_electron(): + is_plasma = True + break + + # Generate Data + yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma) + + # Write + with open(path, 'w') as f: + # sort_keys=False ensures 'units' comes first, then 'phases', etc. + yaml.dump(yaml_data, f, sort_keys=False, default_flow_style=None) + + +def generate_cantera_data(species_list, reaction_list, is_plasma=False, search_for_additional_elements=False): + """ + Converts RMG objects into a dictionary structure compatible with Cantera YAML. + """ + # --- 1. Header & Units --- + # We output everything in SI units. + data = { + 'description': 'RMG-Py Generated Mechanism', + 'generator': 'RMG-Py CanteraWriter', + 'cantera-version': '3.1', + 'units': { + 'length': 'm', + 'time': 's', + 'quantity': 'mol', + 'activation-energy': 'J/mol' + } + } + + # --- 2. Phase Definition --- + base_elements = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', 'F', 'Cl', 'Br', 'I', 'E', 'Li', 'Na', 'K', 'Mg', 'Ca'] + elements_set = set(base_elements) + + if search_for_additional_elements: + for sp in species_list: + if sp.molecule and len(sp.molecule) > 0: + if sp.is_electron: + elements_set.add('E') + is_plasma = True + else: + for elem in sp.molecule[0].get_element_count().keys(): + elements_set.add(elem) + + phase_def = { + 'name': 'gas', + 'thermo': 'plasma' if is_plasma else 'ideal-gas', + 'elements': sorted(list(elements_set)), + 'species': [get_label(sp, species_list) for sp in species_list], + 'kinetics': 'gas', + 'reactions': 'all' + } + + if is_plasma: + # Plasma specific phase settings + phase_def['transport'] = 'ionized-gas' + phase_def['electron-energy-distribution'] = { + 'type': 'isotropic', + 'shape-factor': 2.0, # Maxwellian default + 'mean-electron-energy': 1.0 # Placeholder eV + } + else: + phase_def['transport'] = 'mixture-averaged' + + data['phases'] = [phase_def] + + # --- 3. Species Definitions --- + species_data = [] + for sp in species_list: + species_data.append(species_to_dict(sp, species_list)) + data['species'] = species_data + + # --- 4. Reaction Definitions --- + # Note: Flatten list to handle MultiKinetics (duplicates) which return lists + reaction_data = [] + for rxn in reaction_list: + entries = reaction_to_dict_list(rxn, species_list) # Returns a LIST of dicts + if entries: + reaction_data.extend(entries) + data['reactions'] = reaction_data + + return data + + +def species_to_dict(species, species_list): + """Convert an RMG Species object to a Cantera YAML dictionary.""" + + notes = list() + try: + notes.append(species.to_smiles()) + except: + pass + + # Composition + mol = species.molecule[0] + atom_dict = dict(mol.get_element_count()) + + # Calculate 'E' based on net charge: E = Z - charge + Z_mol = sum(NUMBER_BY_SYMBOL[atom] * count for atom, count in mol.get_element_count().items()) + charge = mol.get_net_charge() + atom_dict['E'] = Z_mol - charge + + # Sort composition by atomic number + atom_dict = {k: atom_dict[k] for k in sorted(atom_dict.keys(), key=lambda x: NUMBER_BY_SYMBOL.get(x, 999))} + + # Thermo (NASA7) + thermo_data = species.get_thermo_data() + + # Sort polynomials by Tmin + sorted_polys = sorted(thermo_data.polynomials, key=lambda p: p.Tmin.value_si) + + polys = [] + for poly in sorted_polys: + polys.append({ + 'T-range': [poly.Tmin.value_si, poly.Tmax.value_si], + 'data': poly.coeffs.tolist() # a0..a6 + }) + + # Build the base dictionary + species_entry = { + 'name': get_label(species, species_list), + 'composition': atom_dict, + 'thermo': { + 'model': 'NASA7', + 'temperature-ranges': [sorted_polys[0].Tmin.value_si, sorted_polys[0].Tmax.value_si, + sorted_polys[1].Tmax.value_si], + 'data': [polys[0]['data'], polys[1]['data']] + }, + } + + # Transport (if available) + if species.transport_data: + td = species.transport_data + + # Robustly handle optional parameters + dipole = 0.0 + if td.dipoleMoment is not None: + dipole = td.dipoleMoment.value_si * 1e21 / constants.c # Debye + + polarizability = 0.0 + if hasattr(td, 'polarizability') and td.polarizability is not None: + polarizability = td.polarizability.value_si * 1e30 # Angstrom^3 + + rot_relax = 0.0 + if hasattr(td, 'rotrelaxcollnum') and td.rotrelaxcollnum is not None: + rot_relax = td.rotrelaxcollnum + + species_entry['transport'] = { + 'model': 'gas', + 'geometry': 'atom' if td.shapeIndex == 0 else 'linear' if td.shapeIndex == 1 else 'nonlinear', + 'well-depth': td.epsilon.value_si / constants.R, + 'diameter': td.sigma.value_si, + 'dipole': dipole, + 'rotational-relaxation': rot_relax + } + + if species.thermo and species.thermo.comment: + # Clean up newlines for cleaner YAML appearance + clean_comment = species.thermo.comment.replace('\n', '; ').strip() + notes.append(f"Thermo Source: {clean_comment}") + + if species.transport_data and species.transport_data.comment: + notes.append(f"Transport Source: {species.transport_data.comment.strip()}") + + if notes: + species_entry['note'] = " | ".join(notes) + + return species_entry + + +def reaction_to_dict_list(reaction, species_list=None): + """ + Convert an RMG Reaction object to a LIST of Cantera YAML dictionaries. + Returns a list because MultiKinetics (duplicates) map to multiple YAML entries. + """ + # Check for MultiKinetics (duplicates grouped in one RMG object) + if isinstance(reaction.kinetics, (MultiArrhenius, MultiPDepArrhenius)): + entries = [] + # kin.arrhenius is a list of sub-kinetics + sub_kinetics_list = reaction.kinetics.arrhenius + + for sub_kin in sub_kinetics_list: + # Create a temporary reaction wrapper for the sub-kinetic + sub_rxn = Reaction( + reactants=reaction.reactants, + products=reaction.products, + reversible=reaction.reversible, + kinetics=sub_kin, + duplicate=reaction.duplicate # Propagate duplicate flag + ) + # Recursively call (should return a list of 1) + sub_result = reaction_to_dict_list(sub_rxn, species_list) + if sub_result: + entries.extend(sub_result) + return entries + + # --- Single Kinetics Logic --- + + kin = reaction.kinetics + + # 1. Determine Equation String Components + reactants_str = " + ".join([get_label(r, species_list) for r in reaction.reactants]) + products_str = " + ".join([get_label(p, species_list) for p in reaction.products]) + + # Handle Third Body suffixes (Required by Cantera for these types) + suffix = "" + if isinstance(kin, (ThirdBody, Lindemann, Troe)): + if hasattr(reaction, 'specific_collider') and reaction.specific_collider: + suffix = " + " + get_label(reaction.specific_collider, species_list) + else: + suffix = " (+ M)" + + arrow = " <=> " + + # Assemble Equation + equation = reactants_str + suffix + arrow + products_str + suffix + + entry = {'equation': equation} + + # Write duplicate flag if present + if reaction.duplicate: + entry['duplicate'] = True + + # --- Kinetics Serialization --- + + if isinstance(kin, Arrhenius): + entry['rate-constant'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si} + + elif isinstance(kin, Chebyshev): + entry['type'] = 'Chebyshev' + entry['temperature-range'] = [kin.Tmin.value_si, kin.Tmax.value_si] + entry['pressure-range'] = [kin.Pmin.value_si, kin.Pmax.value_si] + entry['data'] = kin.coeffs.value_si.tolist() + + elif isinstance(kin, ThirdBody): + entry['type'] = 'three-body' + entry['rate-constant'] = { + 'A': kin.arrheniusLow.A.value_si, + 'b': kin.arrheniusLow.n.value_si, + 'Ea': kin.arrheniusLow.Ea.value_si + } + entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if + (lbl := get_label(m, species_list)) is not None} + + elif isinstance(kin, Troe): + entry['type'] = 'falloff' + entry['high-P-rate-constant'] = { + 'A': kin.arrheniusHigh.A.value_si, + 'b': kin.arrheniusHigh.n.value_si, + 'Ea': kin.arrheniusHigh.Ea.value_si + } + entry['low-P-rate-constant'] = { + 'A': kin.arrheniusLow.A.value_si, + 'b': kin.arrheniusLow.n.value_si, + 'Ea': kin.arrheniusLow.Ea.value_si + } + troe_p = {'A': kin.alpha, 'T3': kin.T3.value_si, 'T1': kin.T1.value_si} + if kin.T2: + troe_p['T2'] = kin.T2.value_si + entry['Troe'] = troe_p + entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if + (lbl := get_label(m, species_list)) is not None} + + elif isinstance(kin, Lindemann): + entry['type'] = 'falloff' + entry['high-P-rate-constant'] = { + 'A': kin.arrheniusHigh.A.value_si, + 'b': kin.arrheniusHigh.n.value_si, + 'Ea': kin.arrheniusHigh.Ea.value_si + } + entry['low-P-rate-constant'] = { + 'A': kin.arrheniusLow.A.value_si, + 'b': kin.arrheniusLow.n.value_si, + 'Ea': kin.arrheniusLow.Ea.value_si + } + entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if + (lbl := get_label(m, species_list)) is not None} + + elif isinstance(kin, MultiArrhenius): + entries = [] + for sub_kin in kin.arrhenius: + # Create a temporary wrapper reaction for the sub-kinetic + sub_rxn = Reaction( + reactants=reaction.reactants, + products=reaction.products, + reversible=reaction.reversible, + kinetics=sub_kin, + duplicate=True # MultiArrhenius always implies duplicates + ) + # Recursively handle the sub-reaction + entries.extend(reaction_to_dict_list(sub_rxn, species_list)) + return entries + + elif isinstance(kin, PDepArrhenius): + # Check if any pressure point uses MultiArrhenius (sum of rates) + has_multi = any(isinstance(arr, MultiArrhenius) for arr in kin.arrhenius) + + if has_multi: + # We must split this complex PDep into multiple "duplicate" Cantera entries. + # 1. Determine the maximum "depth" (max number of Arrhenius terms at any pressure) + max_terms = 0 + for arr in kin.arrhenius: + if isinstance(arr, MultiArrhenius): + max_terms = max(max_terms, len(arr.arrhenius)) + else: + max_terms = max(max_terms, 1) + + entries = [] + + # 2. Create one YAML entry per "channel" (i = 0, 1, 2...) + for i in range(max_terms): + sub_entry = entry.copy() + sub_entry['type'] = 'pressure-dependent-Arrhenius' + sub_entry['duplicate'] = True + + rates = [] + for P, arr in zip(kin.pressures.value_si, kin.arrhenius): + current_arr = None + + # Logic to extract the i-th Arrhenius term at this pressure + if isinstance(arr, MultiArrhenius): + if i < len(arr.arrhenius): + current_arr = arr.arrhenius[i] + elif isinstance(arr, Arrhenius): + if i == 0: + current_arr = arr + + if current_arr: + rates.append({ + 'P': P, + 'A': current_arr.A.value_si, + 'b': current_arr.n.value_si, + 'Ea': current_arr.Ea.value_si + }) + else: + # If this channel has no rate at this pressure (e.g. P1 has 2 terms, P2 has 1), + # Cantera requires a value for interpolation. Use a negligible rate (A=0). + rates.append({'P': P, 'A': 0.0, 'b': 0.0, 'Ea': 0.0}) + + sub_entry['rate-constants'] = rates + entries.append(sub_entry) + + return entries + + else: + # Standard Case: Simple Arrhenius at every pressure + entry['type'] = 'pressure-dependent-Arrhenius' + rates = [] + for P, arr in zip(kin.pressures.value_si, kin.arrhenius): + rates.append({ + 'P': P, + 'A': arr.A.value_si, + 'b': arr.n.value_si, + 'Ea': arr.Ea.value_si + }) + entry['rate-constants'] = rates + + else: + logging.warning(f"Skipping reaction {equation}: Unknown kinetics type {type(kin)}") + return [] + + note_parts = list() + # A. Reaction Source (Provenance) + if isinstance(reaction, TemplateReaction): + note_parts.append(f"Source: Template family {reaction.family}") + elif isinstance(reaction, LibraryReaction): + note_parts.append(f"Source: Library {reaction.library}") + elif isinstance(reaction, PDepReaction): + note_parts.append(f"Source: PDep Network #{reaction.network.index}") + elif isinstance(reaction, Reaction): + note_parts.append(f"Source: P{reaction.kinetics.comment}") + + # B. Kinetics Comments (e.g. "Matched node 1234", "Flux pairs...", etc) + if hasattr(kin, 'comment') and kin.comment: + # Clean up newlines to keep the YAML one-line note clean + clean_comment = kin.comment.replace('\n', '; ').strip() + if clean_comment: + note_parts.append(clean_comment) + + # C. Specific Collider info (if not obvious in equation) + if reaction.specific_collider: + note_parts.append(f"Specific collider: {reaction.specific_collider.label}") + + if note_parts: + entry['note'] = " | ".join(note_parts) + + return [entry] + + +def get_label(obj: Union['Species', 'Molecule'], species_list: list['Species']): + if species_list: + for sp in species_list: + if sp.is_isomorphic(obj): + return f'{sp.label}({sp.index})' if sp.index > 0 else sp.label + return None From a1d1e3d4b89c0d777142a57fd270abd2a7f6d030 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 09:11:47 -0500 Subject: [PATCH 441/700] Move Alon's cantera writer to yaml_cantera2 --- rmgpy/{cantera.py => yaml_cantera2.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename rmgpy/{cantera.py => yaml_cantera2.py} (100%) diff --git a/rmgpy/cantera.py b/rmgpy/yaml_cantera2.py similarity index 100% rename from rmgpy/cantera.py rename to rmgpy/yaml_cantera2.py From 5d0060c9bd343ce4ecb88319fcd0822429b67f76 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 09:19:27 -0500 Subject: [PATCH 442/700] Rename Alon's CanteraWriter class to CanteraWriter2 --- rmgpy/yaml_cantera2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 4b8de0a1f4f..9574fe2110c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -67,7 +67,7 @@ NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} -class CanteraWriter(object): +class CanteraWriter2(object): """ This class listens to a RMG subject and writes a Cantera YAML file with the current state of the RMG model at every iteration. @@ -177,7 +177,7 @@ def generate_cantera_data(species_list, reaction_list, is_plasma=False, search_f # We output everything in SI units. data = { 'description': 'RMG-Py Generated Mechanism', - 'generator': 'RMG-Py CanteraWriter', + 'generator': 'RMG-Py CanteraWriter2', 'cantera-version': '3.1', 'units': { 'length': 'm', From a93bcc1dd1f31712819293641e3bad146cbce700 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 13 Dec 2025 14:34:19 +0200 Subject: [PATCH 443/700] Tests: Cantera writer --- test/rmgpy/canteraTest.py | 401 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 401 insertions(+) create mode 100644 test/rmgpy/canteraTest.py diff --git a/test/rmgpy/canteraTest.py b/test/rmgpy/canteraTest.py new file mode 100644 index 00000000000..23ad23eed14 --- /dev/null +++ b/test/rmgpy/canteraTest.py @@ -0,0 +1,401 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + + +import cantera as ct +import os +import shutil +import numpy as np +import pytest + +from rmgpy.species import Species +from rmgpy.reaction import Reaction +from rmgpy.kinetics import ( + Arrhenius, + PDepArrhenius, + MultiArrhenius, + Chebyshev, + Troe, + Lindemann, + ThirdBody, +) +from rmgpy.thermo import NASA, NASAPolynomial +from rmgpy.transport import TransportData +from rmgpy.cantera import ( + CanteraWriter, + save_cantera_files, + species_to_dict, + reaction_to_dict_list, + generate_cantera_data +) + + +class TestCanteraWriter: + + def setup_method(self): + """ + Create a temporary directory for file I/O tests. + """ + base_dir = os.path.dirname(os.path.abspath(__file__)) + self.tmp_dir = os.path.join(base_dir, 'tmp') + + # Ensure a clean start: delete if exists, then create + if os.path.exists(self.tmp_dir): + shutil.rmtree(self.tmp_dir) + os.makedirs(self.tmp_dir) + + def teardown_method(self): + """ + Clean up the temporary directory after tests. + """ + shutil.rmtree(self.tmp_dir) + + + def _create_dummy_species(self, label, formula, index=-1): + """Helper to create a functional RMG Species object with thermo/transport""" + sp = Species(label=label).from_smiles(formula) + sp.index = index + coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0] + poly_low = NASAPolynomial(coeffs=coeffs, Tmin=(200, 'K'), Tmax=(1000, 'K')) + poly_high = NASAPolynomial(coeffs=coeffs, Tmin=(1000, 'K'), Tmax=(6000, 'K')) + sp.thermo = NASA(polynomials=[poly_low, poly_high], Tmin=(200, 'K'), Tmax=(6000, 'K')) + num_atoms = len(sp.molecule[0].atoms) + if num_atoms == 1: + shape_idx = 0 + elif num_atoms == 2: + shape_idx = 1 + else: + shape_idx = 2 + sp.transport_data = TransportData( + shapeIndex=shape_idx, + sigma=(3.0, 'angstrom'), + epsilon=(100.0, 'K'), + dipoleMoment=(0.0, 'De'), + polarizability=(0.0, 'angstrom^3'), + rotrelaxcollnum=1.0 + ) + return sp + + def test_species_to_dict_standard(self): + """Test conversion of a standard gas species.""" + sp = self._create_dummy_species("H2", "[H][H]", index=1) + d = species_to_dict(sp, [sp]) + + assert d['name'] == "H2(1)" + assert 'composition' in d + assert d['thermo']['model'] == 'NASA7' + assert len(d['thermo']['data']) == 2 + + # Verify Transport + assert 'transport' in d + assert d['transport']['model'] == 'gas' + assert d['transport']['geometry'] == 'linear' + # Diameter should be in meters (SI) + assert np.isclose(d['transport']['diameter'], 3.0e-10) + + def test_reaction_to_dict_arrhenius(self): + """Test standard Arrhenius kinetics.""" + r = self._create_dummy_species("R", "[CH2]O", index=1) + p = self._create_dummy_species("P", "C[O]", index=2) + rxn = Reaction( + reactants=[r], products=[p], + kinetics=Arrhenius(A=(1e10, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K")) + ) + + entries = reaction_to_dict_list(rxn, species_list=[r, p]) + assert len(entries) == 1 + data = entries[0] + + assert data['equation'] == "R(1) <=> P(2)" + assert 'rate-constant' in data + assert np.isclose(data['rate-constant']['A'], 1e10) + assert np.isclose(data['rate-constant']['b'], 0.5) + assert np.isclose(data['rate-constant']['Ea'], 10000.0) + + def test_reaction_to_dict_duplicates(self): + """Test that MultiKinetics objects result in multiple YAML entries.""" + r = self._create_dummy_species("R", "[H]", index=1) + k1 = Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(0, "J/mol"), T0=(1, "K")) + k2 = Arrhenius(A=(2e10, "s^-1"), n=0, Ea=(0, "J/mol"), T0=(1, "K")) + + rxn = Reaction( + reactants=[r], products=[r], + kinetics=MultiArrhenius(arrhenius=[k1, k2]), + duplicate=True + ) + + entries = reaction_to_dict_list(rxn, species_list=[r]) + assert len(entries) == 2 + assert entries[0]['rate-constant']['A'] == 1e10 + assert entries[1]['rate-constant']['A'] == 2e10 + assert entries[0].get('duplicate') is True + + def test_reaction_to_dict_troe(self): + """Test Falloff/Troe serialization.""" + r = self._create_dummy_species("R", "[H]", index=1) + M = self._create_dummy_species("M", "[Ar]", index=-1) + + # Troe + k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + k_low = Arrhenius(A=(1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + + troe = Troe( + arrheniusHigh=k_high, arrheniusLow=k_low, + alpha=0.5, T3=(100, "K"), T1=(200, "K"), T2=(300, "K"), + efficiencies={M.molecule[0]: 2.0} + ) + + rxn = Reaction(reactants=[r], products=[r], kinetics=troe) + entries = reaction_to_dict_list(rxn, species_list=[r, M]) + data = entries[0] + + assert data['type'] == 'falloff' + assert 'Troe' in data + assert data['Troe']['A'] == 0.5 + assert data['Troe']['T2'] == 300.0 + # Efficiencies should map label -> val + assert data['efficiencies'] == {"M": 2.0} + + def test_generate_cantera_data_detects_plasma(self): + """Test that the writer detects 'e' and sets thermo: plasma.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + + # Case 1: No Electron + data = generate_cantera_data([h2], [], is_plasma=False) + phase = data['phases'][0] + assert phase['thermo'] == 'ideal-gas' + assert phase['transport'] == 'mixture-averaged' + + def test_full_integration_plasma_model(self): + """ + Create a comprehensive RMG model, write it to disk, and load it in Cantera + to ensure all fields are valid and parsed correctly. + """ + + # 1. Create Model Components + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + h = self._create_dummy_species("H", "[H]", index=2) + ch4 = self._create_dummy_species("CH4", "C", index=3) + oh = self._create_dummy_species("OH", "[OH]", index=4) + ar = self._create_dummy_species("Ar", "[Ar]", index=-1) + + species = [h2, h, ch4, oh, ar] + + r1 = Reaction( + reactants=[h2], products=[h, h], + kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K")) + ) + + r2 = Reaction( + reactants=[h, h], products=[h2], + kinetics=ThirdBody( + arrheniusLow=Arrhenius(A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K")), + efficiencies={ar.molecule[0]: 0.7} + ) + ) + + reactions = [r1, r2] + + # 2. Mock RMG Object Structure + # The writer expects: rmg.output_directory and rmg.reaction_model.core + class MockCore: + def __init__(self): + self.species = species + self.reactions = reactions + + class MockModel: + def __init__(self): + self.core = MockCore() + self.edge = MockCore() # Empty for now + + class MockRMG: + def __init__(self, out_dir): + self.output_directory = out_dir + self.reaction_model = MockModel() + self.save_edge_species = False + + mock_rmg = MockRMG(self.tmp_dir) + save_cantera_files(mock_rmg) + + yaml_file = os.path.join(self.tmp_dir, "cantera", "chem.yaml") + versioned_file = os.path.join(self.tmp_dir, "cantera", "chem0005.yaml") + assert os.path.exists(yaml_file) + assert os.path.exists(versioned_file) + + try: + sol = ct.Solution(yaml_file) + except Exception as e: + pytest.fail(f"Cantera failed to load the generated YAML: {e}") + + assert sol.n_species == 5 + + assert sol.n_reactions == 2 + + ct_r2 = sol.reaction(1) + assert "three-body" in ct_r2.reaction_type or "ThreeBody" in ct_r2.reaction_type + assert np.isclose(ct_r2.third_body.efficiencies["Ar"], 0.7) + + def test_reaction_to_dict_pdep_arrhenius(self): + """Test Pressure-Dependent Arrhenius (PLOG) structure.""" + r = self._create_dummy_species("R", "[CH2]O", index=1) + p = self._create_dummy_species("P", "C[O]", index=2) + + k_low = Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + k_high = Arrhenius(A=(1e12, "s^-1"), n=0, Ea=(15, "kJ/mol"), T0=(1, "K")) + + pdep = PDepArrhenius( + pressures=([0.1, 1.0], "atm"), + arrhenius=[k_low, k_high], + ) + + rxn = Reaction(reactants=[r], products=[p], kinetics=pdep) + + entries = reaction_to_dict_list(rxn, species_list=[r, p]) + data = entries[0] + + assert data['type'] == 'pressure-dependent-Arrhenius' + rates = data['rate-constants'] + assert len(rates) == 2 + + assert np.isclose(rates[0]['P'], 0.1 * 101325.0) + assert np.isclose(rates[0]['A'], 1e10) + assert np.isclose(rates[0]['Ea'], 10000.0) + + assert np.isclose(rates[1]['P'], 1.0 * 101325.0) + assert np.isclose(rates[1]['A'], 1e12) + assert np.isclose(rates[1]['Ea'], 15000.0) + + def test_reaction_to_dict_chebyshev(self): + """Test Chebyshev kinetics structure.""" + r = self._create_dummy_species("R", "[H]", index=1) + + # 2x2 Coefficients matrix + coeffs = np.array([[1.0, 2.0], [3.0, 4.0]]) + cheb = Chebyshev( + Tmin=(300, "K"), Tmax=(2000, "K"), + Pmin=(0.01, "atm"), Pmax=(100, "atm"), + coeffs=coeffs, + kunits="s^-1" + ) + + rxn = Reaction(reactants=[r], products=[r], kinetics=cheb) + + entries = reaction_to_dict_list(rxn, species_list=[r]) + data = entries[0] + + assert data['type'] == 'Chebyshev' + + assert np.allclose(data['temperature-range'], [300.0, 2000.0]) + assert np.allclose(data['pressure-range'], [0.01 * 101325.0, 100 * 101325.0]) + assert np.allclose(data['data'], coeffs) + + def test_reaction_to_dict_lindemann(self): + """Test Lindemann (Falloff without Troe parameters).""" + r = self._create_dummy_species("R", "[H]", index=1) + M = self._create_dummy_species("M", "[Ar]", index=-1) + + k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + k_low = Arrhenius(A=(1e21, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + lind = Lindemann( + arrheniusHigh=k_high, + arrheniusLow=k_low, + efficiencies={M.molecule[0]: 5.0}, + ) + rxn = Reaction(reactants=[r], products=[r], kinetics=lind) + entries = reaction_to_dict_list(rxn, species_list=[r, M]) + data = entries[0] + + assert data['type'] == 'falloff' + assert 'high-P-rate-constant' in data + assert 'low-P-rate-constant' in data + assert np.isclose(data['high-P-rate-constant']['A'], 1e14) + assert np.isclose(data['low-P-rate-constant']['A'], 1e15) + assert data['efficiencies'] == {"M": 5.0} + assert 'Troe' not in data + + def test_cantera_writer_class_listener(self): + """ + Test the CanteraWriter class directly to ensure it correctly initializes + subdirectories and triggers the save on update(). + """ + writer = CanteraWriter(self.tmp_dir) + cantera_dir = os.path.join(self.tmp_dir, 'cantera') + assert os.path.exists(cantera_dir) + assert os.path.isdir(cantera_dir) + + mock_rmg = self._create_dummy_model() + writer.update(mock_rmg) + + versioned_file = os.path.join(cantera_dir, 'chem0002.yaml') + latest_file = os.path.join(cantera_dir, 'chem.yaml') + + assert os.path.exists(versioned_file) + assert os.path.exists(latest_file) + + with open(latest_file, 'r') as f: + content = f.read() + assert "generator: RMG-Py CanteraWriter" in content + assert "phases:" in content + assert "species:" in content + + def _create_dummy_model(self): + """Creates a mock object structure resembling RMG.reaction_model""" + + # 1. Species + sp_H2 = self._create_dummy_species("H2", "[H][H]", index=1) + sp_H = self._create_dummy_species("H", "[H]", index=2) + species_list = [sp_H2, sp_H] + + # 2. Reactions + rxn_arr = Reaction( + reactants=[sp_H2], products=[sp_H, sp_H], + kinetics=Arrhenius(A=(1e13, "s^-1"), n=0.0, Ea=(200, "kJ/mol"), T0=(1, "K")) + ) + reaction_list = [rxn_arr] + + # Mock Object Structure + class MockCore: + def __init__(self, s, r): + self.species = s + self.reactions = r + + class MockModel: + def __init__(self, core): + self.core = core + self.edge = MockCore([], []) + self.output_species_list = [] + self.output_reaction_list = [] + + class MockRMG: + def __init__(self, out_dir, model): + self.output_directory = out_dir + self.reaction_model = model + self.save_edge_species = False + + return MockRMG(self.tmp_dir, MockModel(MockCore(species_list, reaction_list))) From 6f464a1a50acaa5d7192a8459c4ea7e04015b363 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 09:25:11 -0500 Subject: [PATCH 444/700] Rename (file and contents) Alon's yaml_cantera2Test --- test/rmgpy/{canteraTest.py => yaml_cantera2Test.py} | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) rename test/rmgpy/{canteraTest.py => yaml_cantera2Test.py} (98%) diff --git a/test/rmgpy/canteraTest.py b/test/rmgpy/yaml_cantera2Test.py similarity index 98% rename from test/rmgpy/canteraTest.py rename to test/rmgpy/yaml_cantera2Test.py index 23ad23eed14..493d14a4a65 100644 --- a/test/rmgpy/canteraTest.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -47,8 +47,8 @@ ) from rmgpy.thermo import NASA, NASAPolynomial from rmgpy.transport import TransportData -from rmgpy.cantera import ( - CanteraWriter, +from rmgpy.yaml_cantera2 import ( + CanteraWriter2, save_cantera_files, species_to_dict, reaction_to_dict_list, @@ -56,7 +56,7 @@ ) -class TestCanteraWriter: +class TestCanteraWriter2: def setup_method(self): """ @@ -341,10 +341,10 @@ def test_reaction_to_dict_lindemann(self): def test_cantera_writer_class_listener(self): """ - Test the CanteraWriter class directly to ensure it correctly initializes + Test the CanteraWriter2 class directly to ensure it correctly initializes subdirectories and triggers the save on update(). """ - writer = CanteraWriter(self.tmp_dir) + writer = CanteraWriter2(self.tmp_dir) cantera_dir = os.path.join(self.tmp_dir, 'cantera') assert os.path.exists(cantera_dir) assert os.path.isdir(cantera_dir) @@ -360,7 +360,7 @@ def test_cantera_writer_class_listener(self): with open(latest_file, 'r') as f: content = f.read() - assert "generator: RMG-Py CanteraWriter" in content + assert "generator: RMG-Py CanteraWriter2" in content assert "phases:" in content assert "species:" in content From 92b2a02dd59ba98f0a614bd52cf2f06e37eb9588 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Sat, 10 Jan 2026 07:14:27 +0200 Subject: [PATCH 445/700] Add surface chemistry support to Cantera YAML export - Segregate species and reactions into gas-phase and surface-phase lists - Add 'ideal-surface' phase definition with site-density when surface species are present - Support SurfaceArrhenius and StickingCoefficient kinetics types - Serialize coverage dependencies to Cantera YAML format - Pass site_density from RMG settings through to generate_cantera_data() - Skip transport data for surface species - Exclude surface site marker 'X' from species compositions - Extract get_reaction_equation() helper from reaction_to_dict_list() - Remove redundant MultiArrhenius branch (already handled at top of function) - Clean up comments and minor formatting --- rmgpy/yaml_cantera2.py | 256 ++++++++++++++++++++++++----------------- 1 file changed, 150 insertions(+), 106 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 9574fe2110c..4dd26cf0254 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -41,6 +41,7 @@ from rmgpy.kinetics import ( Arrhenius, PDepArrhenius, MultiArrhenius, MultiPDepArrhenius, Chebyshev, Troe, Lindemann, ThirdBody, + StickingCoefficient, SurfaceArrhenius, ) from rmgpy.reaction import Reaction from rmgpy.rmg.pdep import PDepReaction @@ -51,19 +52,18 @@ from rmgpy.species import Species from rmgpy.molecule.molecule import Molecule - -SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', 11: 'Na', - 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca', 21: 'Sc', - 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn', 31: 'Ga', - 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr', 41: 'Nb', - 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn', 51: 'Sb', - 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd', 61: 'Pm', - 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb', 71: 'Lu', - 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg', 81: 'Tl', - 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th', 91: 'Pa', - 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm', 101: 'Md', - 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', 110: 'Ds', - 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} +SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', + 11: 'Na', 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca', + 21: 'Sc', 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn', + 31: 'Ga', 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr', + 41: 'Nb', 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn', + 51: 'Sb', 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd', + 61: 'Pm', 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb', + 71: 'Lu', 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg', + 81: 'Tl', 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th', + 91: 'Pa', 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm', + 101: 'Md', 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', + 110: 'Ds', 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} @@ -96,6 +96,12 @@ def save_cantera_files(rmg): cantera_dir = os.path.join(rmg.output_directory, 'cantera') if not os.path.exists(cantera_dir): os.mkdir(cantera_dir) + + try: + site_density = rmg.surface_site_density.value_si + except (AttributeError, KeyError, TypeError): + site_density = None + # ------------------------------------------------------------------------- # 1. Save Core Model # ------------------------------------------------------------------------- @@ -109,7 +115,7 @@ def save_cantera_files(rmg): logging.info(f"Saving current model core to Cantera file: {this_cantera_path}") # Write the YAML file - save_cantera_model(rmg.reaction_model.core, this_cantera_path) + save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density) # Copy to 'chem.yaml' (The latest file) if os.path.exists(latest_cantera_path): @@ -126,9 +132,7 @@ def save_cantera_files(rmg): 'chem_edge{0:04d}.yaml'.format(num_species)) latest_edge_path = os.path.join(rmg.output_directory, 'cantera', 'chem_edge.yaml') - # Combine core and edge - # Note: We create a temporary object or just pass list concatenations - # Creating a simple container object to pass to save_cantera_model + # Create a simple container object to pass to save_cantera_model class MixedModel: def __init__(self, species, reactions): self.species = species @@ -139,14 +143,14 @@ def __init__(self, species, reactions): rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions ) - save_cantera_model(edge_model, this_edge_path) + save_cantera_model(edge_model, this_edge_path, site_density=site_density) if os.path.exists(latest_edge_path): os.unlink(latest_edge_path) shutil.copy2(this_edge_path, latest_edge_path) -def save_cantera_model(model_container, path): +def save_cantera_model(model_container, path, site_density=None): """ Internal helper to generate the dictionary and write the YAML file. model_container must have .species and .reactions attributes (lists). @@ -161,7 +165,7 @@ def save_cantera_model(model_container, path): break # Generate Data - yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma) + yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma, site_density=site_density) # Write with open(path, 'w') as f: @@ -169,7 +173,12 @@ def save_cantera_model(model_container, path): yaml.dump(yaml_data, f, sort_keys=False, default_flow_style=None) -def generate_cantera_data(species_list, reaction_list, is_plasma=False, search_for_additional_elements=False): +def generate_cantera_data(species_list, + reaction_list, + is_plasma=False, + site_density=None, + search_for_additional_elements=False, + ): """ Converts RMG objects into a dictionary structure compatible with Cantera YAML. """ @@ -187,53 +196,89 @@ def generate_cantera_data(species_list, reaction_list, is_plasma=False, search_f } } - # --- 2. Phase Definition --- - base_elements = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', 'F', 'Cl', 'Br', 'I', 'E', 'Li', 'Na', 'K', 'Mg', 'Ca'] + # --- 2. Phase Segregation (Gas vs Surface) --- + gas_species, surface_species, gas_reactions, surface_reactions = list(), list(), list(), list() + + for spc in species_list: + if spc.contains_surface_site(): + surface_species.append(spc) + else: + gas_species.append(spc) + + for rxn in reaction_list: + if rxn.is_surface_reaction(): + surface_reactions.append(rxn) + else: + gas_reactions.append(rxn) + + # --- 3. Phase Definitions --- + base_elements = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', 'F', 'Cl', 'Br', 'I', 'E'] elements_set = set(base_elements) if search_for_additional_elements: - for sp in species_list: - if sp.molecule and len(sp.molecule) > 0: - if sp.is_electron: + for spc in species_list: + if spc.molecule and len(spc.molecule) > 0: + if spc.is_electron(): elements_set.add('E') is_plasma = True else: - for elem in sp.molecule[0].get_element_count().keys(): - elements_set.add(elem) + for elem in spc.molecule[0].get_element_count().keys(): + if elem != 'X': + elements_set.add(elem) + + phases = list() - phase_def = { + gas_phase_def = { 'name': 'gas', 'thermo': 'plasma' if is_plasma else 'ideal-gas', 'elements': sorted(list(elements_set)), - 'species': [get_label(sp, species_list) for sp in species_list], + 'species': [get_label(spc, species_list) for spc in gas_species], 'kinetics': 'gas', - 'reactions': 'all' + 'reactions': 'declared-species', } if is_plasma: - # Plasma specific phase settings - phase_def['transport'] = 'ionized-gas' - phase_def['electron-energy-distribution'] = { + gas_phase_def['transport'] = 'ionized-gas' + # Plasma specific defaults + gas_phase_def['electron-energy-distribution'] = { 'type': 'isotropic', - 'shape-factor': 2.0, # Maxwellian default - 'mean-electron-energy': 1.0 # Placeholder eV + 'shape-factor': 2.0, + 'mean-electron-energy': 1.0 } else: - phase_def['transport'] = 'mixture-averaged' + gas_phase_def['transport'] = 'mixture-averaged' + + phases.append(gas_phase_def) + + if surface_species: + default_site_density = 2.5e-5 # mol/m^2 + + surface_phase_def = { + 'name': 'surface', + 'thermo': 'ideal-surface', + 'adjacent-phases': ['gas'], + 'elements': sorted(list(elements_set)), + 'species': [get_label(sp, species_list) for sp in surface_species], + 'kinetics': 'surface', + 'reactions': 'declared-species', + 'site-density': site_density or default_site_density + } + phases.append(surface_phase_def) - data['phases'] = [phase_def] + data['phases'] = phases - # --- 3. Species Definitions --- - species_data = [] + species_data = list() for sp in species_list: species_data.append(species_to_dict(sp, species_list)) data['species'] = species_data - # --- 4. Reaction Definitions --- - # Note: Flatten list to handle MultiKinetics (duplicates) which return lists - reaction_data = [] - for rxn in reaction_list: - entries = reaction_to_dict_list(rxn, species_list) # Returns a LIST of dicts + reaction_data = list() + for rxn in gas_reactions: + entries = reaction_to_dict_list(rxn, species_list) + if entries: + reaction_data.extend(entries) + for rxn in surface_reactions: + entries = reaction_to_dict_list(rxn, species_list) if entries: reaction_data.extend(entries) data['reactions'] = reaction_data @@ -254,10 +299,20 @@ def species_to_dict(species, species_list): mol = species.molecule[0] atom_dict = dict(mol.get_element_count()) + # --- FIX: Remove surface site marker 'X' --- + if 'X' in atom_dict: + del atom_dict['X'] + # Calculate 'E' based on net charge: E = Z - charge - Z_mol = sum(NUMBER_BY_SYMBOL[atom] * count for atom, count in mol.get_element_count().items()) + # --- FIX: Use .get() to avoid KeyError if 'X' or other unknown symbols are processed + Z_mol = sum(NUMBER_BY_SYMBOL.get(atom, 0) * count for atom, count in atom_dict.items()) charge = mol.get_net_charge() - atom_dict['E'] = Z_mol - charge + if 'E' not in atom_dict: # Don't double count if E is explicit + atom_dict['E'] = Z_mol - charge + + # Remove E if 0 to keep it clean + if atom_dict.get('E') == 0: + del atom_dict['E'] # Sort composition by atomic number atom_dict = {k: atom_dict[k] for k in sorted(atom_dict.keys(), key=lambda x: NUMBER_BY_SYMBOL.get(x, 999))} @@ -287,11 +342,10 @@ def species_to_dict(species, species_list): }, } - # Transport (if available) - if species.transport_data: + # Transport (if available) - Only relevant for gas phase usually + if species.transport_data and not species.contains_surface_site(): td = species.transport_data - # Robustly handle optional parameters dipole = 0.0 if td.dipoleMoment is not None: dipole = td.dipoleMoment.value_si * 1e21 / constants.c # Debye @@ -314,7 +368,6 @@ def species_to_dict(species, species_list): } if species.thermo and species.thermo.comment: - # Clean up newlines for cleaner YAML appearance clean_comment = species.thermo.comment.replace('\n', '; ').strip() notes.append(f"Thermo Source: {clean_comment}") @@ -330,59 +383,47 @@ def species_to_dict(species, species_list): def reaction_to_dict_list(reaction, species_list=None): """ Convert an RMG Reaction object to a LIST of Cantera YAML dictionaries. - Returns a list because MultiKinetics (duplicates) map to multiple YAML entries. """ # Check for MultiKinetics (duplicates grouped in one RMG object) if isinstance(reaction.kinetics, (MultiArrhenius, MultiPDepArrhenius)): entries = [] - # kin.arrhenius is a list of sub-kinetics sub_kinetics_list = reaction.kinetics.arrhenius for sub_kin in sub_kinetics_list: - # Create a temporary reaction wrapper for the sub-kinetic sub_rxn = Reaction( reactants=reaction.reactants, products=reaction.products, reversible=reaction.reversible, kinetics=sub_kin, - duplicate=reaction.duplicate # Propagate duplicate flag + duplicate=True ) - # Recursively call (should return a list of 1) sub_result = reaction_to_dict_list(sub_rxn, species_list) if sub_result: entries.extend(sub_result) return entries - # --- Single Kinetics Logic --- - kin = reaction.kinetics - # 1. Determine Equation String Components - reactants_str = " + ".join([get_label(r, species_list) for r in reaction.reactants]) - products_str = " + ".join([get_label(p, species_list) for p in reaction.products]) - - # Handle Third Body suffixes (Required by Cantera for these types) - suffix = "" - if isinstance(kin, (ThirdBody, Lindemann, Troe)): - if hasattr(reaction, 'specific_collider') and reaction.specific_collider: - suffix = " + " + get_label(reaction.specific_collider, species_list) - else: - suffix = " (+ M)" - - arrow = " <=> " - - # Assemble Equation - equation = reactants_str + suffix + arrow + products_str + suffix - + # Generate equation string + equation = get_reaction_equation(reaction, species_list) entry = {'equation': equation} - # Write duplicate flag if present if reaction.duplicate: entry['duplicate'] = True # --- Kinetics Serialization --- - if isinstance(kin, Arrhenius): + # 1. Surface Kinetics + if isinstance(kin, StickingCoefficient): + entry['type'] = 'sticking-Arrhenius' + entry['sticking-coefficient'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si} + + elif isinstance(kin, SurfaceArrhenius): + entry['type'] = 'interface-Arrhenius' + entry['rate-constant'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si} + + # 2. Gas Kinetics + elif isinstance(kin, Arrhenius): entry['rate-constant'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si} elif isinstance(kin, Chebyshev): @@ -435,28 +476,11 @@ def reaction_to_dict_list(reaction, species_list=None): entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if (lbl := get_label(m, species_list)) is not None} - elif isinstance(kin, MultiArrhenius): - entries = [] - for sub_kin in kin.arrhenius: - # Create a temporary wrapper reaction for the sub-kinetic - sub_rxn = Reaction( - reactants=reaction.reactants, - products=reaction.products, - reversible=reaction.reversible, - kinetics=sub_kin, - duplicate=True # MultiArrhenius always implies duplicates - ) - # Recursively handle the sub-reaction - entries.extend(reaction_to_dict_list(sub_rxn, species_list)) - return entries - elif isinstance(kin, PDepArrhenius): # Check if any pressure point uses MultiArrhenius (sum of rates) has_multi = any(isinstance(arr, MultiArrhenius) for arr in kin.arrhenius) if has_multi: - # We must split this complex PDep into multiple "duplicate" Cantera entries. - # 1. Determine the maximum "depth" (max number of Arrhenius terms at any pressure) max_terms = 0 for arr in kin.arrhenius: if isinstance(arr, MultiArrhenius): @@ -465,8 +489,6 @@ def reaction_to_dict_list(reaction, species_list=None): max_terms = max(max_terms, 1) entries = [] - - # 2. Create one YAML entry per "channel" (i = 0, 1, 2...) for i in range(max_terms): sub_entry = entry.copy() sub_entry['type'] = 'pressure-dependent-Arrhenius' @@ -475,8 +497,6 @@ def reaction_to_dict_list(reaction, species_list=None): rates = [] for P, arr in zip(kin.pressures.value_si, kin.arrhenius): current_arr = None - - # Logic to extract the i-th Arrhenius term at this pressure if isinstance(arr, MultiArrhenius): if i < len(arr.arrhenius): current_arr = arr.arrhenius[i] @@ -492,17 +512,13 @@ def reaction_to_dict_list(reaction, species_list=None): 'Ea': current_arr.Ea.value_si }) else: - # If this channel has no rate at this pressure (e.g. P1 has 2 terms, P2 has 1), - # Cantera requires a value for interpolation. Use a negligible rate (A=0). rates.append({'P': P, 'A': 0.0, 'b': 0.0, 'Ea': 0.0}) sub_entry['rate-constants'] = rates entries.append(sub_entry) - return entries else: - # Standard Case: Simple Arrhenius at every pressure entry['type'] = 'pressure-dependent-Arrhenius' rates = [] for P, arr in zip(kin.pressures.value_si, kin.arrhenius): @@ -518,8 +534,23 @@ def reaction_to_dict_list(reaction, species_list=None): logging.warning(f"Skipping reaction {equation}: Unknown kinetics type {type(kin)}") return [] + # --- Coverage Dependencies --- + if hasattr(kin, 'coverage_dependence') and kin.coverage_dependence: + cov_deps = {} + for sp, cov_params in kin.coverage_dependence.items(): + sp_label = get_label(sp, species_list) + if sp_label: + # Cantera YAML expects { a: ..., m: ..., E: ... } + cov_deps[sp_label] = { + 'a': cov_params.a.value_si, + 'm': cov_params.m.value_si, + 'E': cov_params.E.value_si + } + if cov_deps: + entry['coverage-dependencies'] = cov_deps + + # --- Metadata / Notes --- note_parts = list() - # A. Reaction Source (Provenance) if isinstance(reaction, TemplateReaction): note_parts.append(f"Source: Template family {reaction.family}") elif isinstance(reaction, LibraryReaction): @@ -529,14 +560,11 @@ def reaction_to_dict_list(reaction, species_list=None): elif isinstance(reaction, Reaction): note_parts.append(f"Source: P{reaction.kinetics.comment}") - # B. Kinetics Comments (e.g. "Matched node 1234", "Flux pairs...", etc) if hasattr(kin, 'comment') and kin.comment: - # Clean up newlines to keep the YAML one-line note clean clean_comment = kin.comment.replace('\n', '; ').strip() if clean_comment: note_parts.append(clean_comment) - # C. Specific Collider info (if not obvious in equation) if reaction.specific_collider: note_parts.append(f"Specific collider: {reaction.specific_collider.label}") @@ -546,6 +574,22 @@ def reaction_to_dict_list(reaction, species_list=None): return [entry] +def get_reaction_equation(reaction, species_list): + """Helper to build reaction string""" + reactants_str = " + ".join([get_label(r, species_list) for r in reaction.reactants]) + products_str = " + ".join([get_label(p, species_list) for p in reaction.products]) + + suffix = "" + kin = reaction.kinetics + if isinstance(kin, (ThirdBody, Lindemann, Troe)): + if hasattr(reaction, 'specific_collider') and reaction.specific_collider: + suffix = " + " + get_label(reaction.specific_collider, species_list) + else: + suffix = " (+ M)" + + return reactants_str + suffix + " <=> " + products_str + suffix + + def get_label(obj: Union['Species', 'Molecule'], species_list: list['Species']): if species_list: for sp in species_list: From 90defd86e16d5ad2c223f21b43d314fc3ada2d5c Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 09:35:26 -0500 Subject: [PATCH 446/700] Updates output subdirectory name to 'cantera2' Aligns directory naming with updated conventions by replacing references from 'cantera' to 'cantera2'. Prevents confusion with previous outputs and improves file organization. --- rmgpy/yaml_cantera2.py | 12 ++++++------ test/rmgpy/yaml_cantera2Test.py | 6 +++--- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 4dd26cf0254..727ebb91bfd 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -75,7 +75,7 @@ class CanteraWriter2(object): def __init__(self, output_directory=''): self.output_directory = output_directory - make_output_subdirectory(output_directory, 'cantera') + make_output_subdirectory(output_directory, 'cantera2') def update(self, rmg): """ @@ -93,7 +93,7 @@ def save_cantera_files(rmg): 2. chem.yaml (latest copy) """ # Ensure subdirectory exists - cantera_dir = os.path.join(rmg.output_directory, 'cantera') + cantera_dir = os.path.join(rmg.output_directory, 'cantera2') if not os.path.exists(cantera_dir): os.mkdir(cantera_dir) @@ -108,9 +108,9 @@ def save_cantera_files(rmg): num_species = len(rmg.reaction_model.core.species) # Define paths - this_cantera_path = os.path.join(rmg.output_directory, 'cantera', + this_cantera_path = os.path.join(cantera_dir, 'chem{0:04d}.yaml'.format(num_species)) - latest_cantera_path = os.path.join(rmg.output_directory, 'cantera', 'chem.yaml') + latest_cantera_path = os.path.join(cantera_dir, 'chem.yaml') logging.info(f"Saving current model core to Cantera file: {this_cantera_path}") @@ -128,9 +128,9 @@ def save_cantera_files(rmg): if rmg.save_edge_species: logging.info('Saving current model core and edge to Cantera file...') - this_edge_path = os.path.join(rmg.output_directory, 'cantera', + this_edge_path = os.path.join(cantera_dir, 'chem_edge{0:04d}.yaml'.format(num_species)) - latest_edge_path = os.path.join(rmg.output_directory, 'cantera', 'chem_edge.yaml') + latest_edge_path = os.path.join(cantera_dir, 'chem_edge.yaml') # Create a simple container object to pass to save_cantera_model class MixedModel: diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 493d14a4a65..33bbf4a49b2 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -243,8 +243,8 @@ def __init__(self, out_dir): mock_rmg = MockRMG(self.tmp_dir) save_cantera_files(mock_rmg) - yaml_file = os.path.join(self.tmp_dir, "cantera", "chem.yaml") - versioned_file = os.path.join(self.tmp_dir, "cantera", "chem0005.yaml") + yaml_file = os.path.join(self.tmp_dir, "cantera2", "chem.yaml") + versioned_file = os.path.join(self.tmp_dir, "cantera2", "chem0005.yaml") assert os.path.exists(yaml_file) assert os.path.exists(versioned_file) @@ -345,7 +345,7 @@ def test_cantera_writer_class_listener(self): subdirectories and triggers the save on update(). """ writer = CanteraWriter2(self.tmp_dir) - cantera_dir = os.path.join(self.tmp_dir, 'cantera') + cantera_dir = os.path.join(self.tmp_dir, 'cantera2') assert os.path.exists(cantera_dir) assert os.path.isdir(cantera_dir) From 3e01182d927455fee11c6ebd933fce9ba1527030 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 09:55:11 -0500 Subject: [PATCH 447/700] [yaml_cantera] makes a copy of the latest chem.yaml each iteration Also improve path management --- rmgpy/yaml_cantera.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index ca217787f84..7b061b0e8e5 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -34,7 +34,9 @@ import os +import shutil import yaml +import logging from rmgpy.species import Species from rmgpy.kinetics.arrhenius import ( @@ -474,10 +476,17 @@ class CanteraWriter(object): def __init__(self, output_directory=""): super(CanteraWriter, self).__init__() self.output_directory = output_directory + self.output_subdirectory = os.path.join(self.output_directory, "cantera") make_output_subdirectory(output_directory, "cantera") def update(self, rmg): + this_output_path = os.path.join(self.output_subdirectory, + f"chem{len(rmg.reaction_model.core.species):04d}.yaml") + latest_output_path = os.path.join(self.output_subdirectory, 'chem.yaml') + + logging.info(f"Saving current model core to Cantera file: {this_output_path}") + solvent_data = None if rmg.solvent: solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent) @@ -492,7 +501,7 @@ def update(self, rmg): surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, - path=os.path.join(self.output_directory, "cantera", "chem{}.yaml").format( - len(rmg.reaction_model.core.species) - ), + path=this_output_path ) + # Update the latest output path + shutil.copy2(this_output_path, latest_output_path) From d50e15b079df096769e13af9bff4068a94c51fa8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 10:21:40 -0500 Subject: [PATCH 448/700] Attach the CanteraWriter2 --- rmgpy/rmg/main.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 4e08196a86f..8433928b818 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -85,6 +85,7 @@ from rmgpy.tools.uncertainty import Uncertainty, process_local_results from rmgpy.yaml_rms import RMSWriter from rmgpy.yaml_cantera import CanteraWriter +from rmgpy.yaml_cantera2 import CanteraWriter2 ################################################################################ @@ -787,6 +788,7 @@ def register_listeners(self, requires_rms=False): self.attach(RMSWriter(self.output_directory)) self.attach(CanteraWriter(self.output_directory)) + self.attach(CanteraWriter2(self.output_directory)) if self.generate_output_html: self.attach(OutputHTMLWriter(self.output_directory)) From d9fdd431ca884780d3ac9c7fbd9e74358b6a552b Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 10:39:14 -0500 Subject: [PATCH 449/700] compare_cantera_yaml copes with different reaction block specification There are different ways to specify the reactions list https://cantera.org/dev/yaml/phases.html --- rmgpy/tools/compare_cantera_yaml.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index 9837c1782af..0032ccd25c3 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -402,7 +402,10 @@ def _extract_yaml_metadata(yaml_data: dict) -> dict: metadata.pop('reactions', None) reaction_blocks = [] for phase in yaml_data.get('phases', []): - reaction_blocks.extend(phase.get('reactions', [])) + reactions = phase.get('reactions', []) + if reactions in ('declared-species', 'all', 'none'): + continue + reaction_blocks.extend(reactions) for block in reaction_blocks: if block not in metadata: raise ValueError(f"Phase mentioned reactions block '{block}' not found in top-level YAML keys") @@ -532,9 +535,14 @@ def main(): logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") if len(sys.argv) == 1: logging.info("No arguments provided. Using default test files for demonstration.") + # sys.argv.extend([ + # "test/rmgpy/test_data/yaml_writer_data/chemkin/from_main_test.yaml", + # "test/rmgpy/test_data/yaml_writer_data/cantera/from_main_test.yaml" + # ]) + sys.argv.extend([ - "test/rmgpy/test_data/yaml_writer_data/chemkin/from_main_test.yaml", - "test/rmgpy/test_data/yaml_writer_data/cantera/from_main_test.yaml" + "/Users/rwest/Code/RMG-Py/testing/eg0/cantera_from_ck/chem.yaml", + "/Users/rwest/Code/RMG-Py/testing/eg0/cantera2/chem.yaml" ]) main() From fdad8b2ddf3d129cf42b355421c202b290e1615a Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 12:52:39 -0500 Subject: [PATCH 450/700] Correct units for transport properties in CanteraWriter2 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Species transport properties are a rare exception to Cantera’s use of SI units, and use the units in which these properties are customarily reported. No conversions are supported. https://cantera.org/dev/yaml/species.html#gas-transport --- rmgpy/yaml_cantera2.py | 4 ++-- test/rmgpy/yaml_cantera2Test.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 727ebb91bfd..25ec2410175 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -361,8 +361,8 @@ def species_to_dict(species, species_list): species_entry['transport'] = { 'model': 'gas', 'geometry': 'atom' if td.shapeIndex == 0 else 'linear' if td.shapeIndex == 1 else 'nonlinear', - 'well-depth': td.epsilon.value_si / constants.R, - 'diameter': td.sigma.value_si, + 'well-depth': td.epsilon.value_si / constants.R, # Kelvin + 'diameter': td.sigma.value_si * 1e10, # Angstroms 'dipole': dipole, 'rotational-relaxation': rot_relax } diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 33bbf4a49b2..ec80ef7b113 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -116,8 +116,8 @@ def test_species_to_dict_standard(self): assert 'transport' in d assert d['transport']['model'] == 'gas' assert d['transport']['geometry'] == 'linear' - # Diameter should be in meters (SI) - assert np.isclose(d['transport']['diameter'], 3.0e-10) + # Diameter should be in angstroms ( https://cantera.org/dev/yaml/species.html#gas-transport ) + assert np.isclose(d['transport']['diameter'], 3.0) def test_reaction_to_dict_arrhenius(self): """Test standard Arrhenius kinetics.""" From 54e9f1b96c1c8ecb7a838f941855be502050fccf Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 13:41:13 -0500 Subject: [PATCH 451/700] Fix transport properties in CanteraWriter2 The polarizability was being skipped, and unnecessary 0 values were being saved. --- rmgpy/yaml_cantera2.py | 23 ++++++++--------------- 1 file changed, 8 insertions(+), 15 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 25ec2410175..5b7f5174af7 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -346,26 +346,19 @@ def species_to_dict(species, species_list): if species.transport_data and not species.contains_surface_site(): td = species.transport_data - dipole = 0.0 - if td.dipoleMoment is not None: - dipole = td.dipoleMoment.value_si * 1e21 / constants.c # Debye - - polarizability = 0.0 - if hasattr(td, 'polarizability') and td.polarizability is not None: - polarizability = td.polarizability.value_si * 1e30 # Angstrom^3 - - rot_relax = 0.0 - if hasattr(td, 'rotrelaxcollnum') and td.rotrelaxcollnum is not None: - rot_relax = td.rotrelaxcollnum - - species_entry['transport'] = { + transport_dict = { 'model': 'gas', 'geometry': 'atom' if td.shapeIndex == 0 else 'linear' if td.shapeIndex == 1 else 'nonlinear', 'well-depth': td.epsilon.value_si / constants.R, # Kelvin 'diameter': td.sigma.value_si * 1e10, # Angstroms - 'dipole': dipole, - 'rotational-relaxation': rot_relax } + if td.dipoleMoment and td.dipoleMoment.value_si != 0.0: + transport_dict['dipole'] = td.dipoleMoment.value_si * 1e21 / constants.c # Debye + if getattr(td, 'polarizability', None) and td.polarizability.value_si != 0.0: + transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 + if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: + transport_dict['rotational-relaxation'] = td.rotrelaxcollnum + species_entry['transport'] = transport_dict if species.thermo and species.thermo.comment: clean_comment = species.thermo.comment.replace('\n', '; ').strip() From 1aaf238f1d94755bc61bab21122f7f593b99130b Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 14:46:02 -0500 Subject: [PATCH 452/700] [CanteraWriter2] Write transport and thermo notes where they belong. Putting these on the transport and thermo nodes, respectively, rather than all in the species node. --- rmgpy/yaml_cantera2.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 5b7f5174af7..2f7e7891bcd 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -358,14 +358,13 @@ def species_to_dict(species, species_list): transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: transport_dict['rotational-relaxation'] = td.rotrelaxcollnum + if td.comment: + transport_dict['note'] = td.comment.strip() species_entry['transport'] = transport_dict if species.thermo and species.thermo.comment: clean_comment = species.thermo.comment.replace('\n', '; ').strip() - notes.append(f"Thermo Source: {clean_comment}") - - if species.transport_data and species.transport_data.comment: - notes.append(f"Transport Source: {species.transport_data.comment.strip()}") + species_entry['thermo']['note'] = clean_comment if notes: species_entry['note'] = " | ".join(notes) From 19a569233bf1d44387f5aa3a93101539c51fa3af Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 16 Feb 2026 14:47:10 -0500 Subject: [PATCH 453/700] [CanteraWriter2] fix conversion of dipole monte into Debye We were only off by the speed of light squared - no biggie ;-) --- rmgpy/yaml_cantera2.py | 2 +- test/rmgpy/yaml_cantera2Test.py | 7 +++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 2f7e7891bcd..8f819d720fb 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -353,7 +353,7 @@ def species_to_dict(species, species_list): 'diameter': td.sigma.value_si * 1e10, # Angstroms } if td.dipoleMoment and td.dipoleMoment.value_si != 0.0: - transport_dict['dipole'] = td.dipoleMoment.value_si * 1e21 / constants.c # Debye + transport_dict['dipole'] = td.dipoleMoment.value_si * 1e21 * constants.c # Debye if getattr(td, 'polarizability', None) and td.polarizability.value_si != 0.0: transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index ec80ef7b113..747ca33578b 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -96,7 +96,7 @@ def _create_dummy_species(self, label, formula, index=-1): shapeIndex=shape_idx, sigma=(3.0, 'angstrom'), epsilon=(100.0, 'K'), - dipoleMoment=(0.0, 'De'), + dipoleMoment=(1.7, 'De'), polarizability=(0.0, 'angstrom^3'), rotrelaxcollnum=1.0 ) @@ -117,7 +117,10 @@ def test_species_to_dict_standard(self): assert d['transport']['model'] == 'gas' assert d['transport']['geometry'] == 'linear' # Diameter should be in angstroms ( https://cantera.org/dev/yaml/species.html#gas-transport ) - assert np.isclose(d['transport']['diameter'], 3.0) + assert np.isclose(d['transport']['diameter'], 3.0) # Angstroms + assert np.isclose(d['transport']['dipole'], 1.7) # Debye + assert np.isclose(d['transport']['well-depth'], 100.0) # Kelvin + assert np.isclose(d['transport']['rotational-relaxation'], 1.0) def test_reaction_to_dict_arrhenius(self): """Test standard Arrhenius kinetics.""" From a1307b5b2973cb8ba21df163430d2dc17dc9a969 Mon Sep 17 00:00:00 2001 From: Alon Grinberg Dana Date: Thu, 19 Feb 2026 09:48:15 +0200 Subject: [PATCH 454/700] Fix attempt for 'E' in atom dictionary --- rmgpy/yaml_cantera.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index 7b061b0e8e5..1c6c8afb434 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -48,6 +48,20 @@ from datetime import datetime from rmgpy.chemkin import get_species_identifier +SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', + 11: 'Na', 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca', + 21: 'Sc', 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn', + 31: 'Ga', 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr', + 41: 'Nb', 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn', + 51: 'Sb', 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd', + 61: 'Pm', 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb', + 71: 'Lu', 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg', + 81: 'Tl', 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th', + 91: 'Pa', 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm', + 101: 'Md', 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', + 110: 'Ds', 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} +NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} + def _convert_anymap_to_dict(obj): """ @@ -431,6 +445,22 @@ def species_to_dict(species): cantera_species = species.to_cantera(use_chemkin_identifier=True) species_data = cantera_species.input_data + mol = species.molecule[0] + atom_dict = dict(mol.get_element_count()) + + Z_mol = sum(NUMBER_BY_SYMBOL.get(atom, 0) * count for atom, count in atom_dict.items()) + charge = mol.get_net_charge() + + # Only add 'E' if the species is not neutral (or is a pure electron) + # E = protons - charge + new_E = Z_mol - charge + if new_E != 0: + atom_dict['E'] = new_E + elif 'E' in atom_dict: + del atom_dict['E'] + + species_data['composition'] = atom_dict + try: transport_comment = species.transport_data.comment if transport_comment: From 6d5820a4083aa3b4f85317c0fda79e3b3dd179a5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:12:37 -0500 Subject: [PATCH 455/700] Revert "Fix attempt for 'E' in atom dictionary" This reverts commit 3c9c5a504069a1501bfaee2e8e4b6292dd3242c3. --- rmgpy/yaml_cantera.py | 30 ------------------------------ 1 file changed, 30 deletions(-) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera.py index 1c6c8afb434..7b061b0e8e5 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera.py @@ -48,20 +48,6 @@ from datetime import datetime from rmgpy.chemkin import get_species_identifier -SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', - 11: 'Na', 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca', - 21: 'Sc', 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn', - 31: 'Ga', 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr', - 41: 'Nb', 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn', - 51: 'Sb', 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd', - 61: 'Pm', 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb', - 71: 'Lu', 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg', - 81: 'Tl', 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th', - 91: 'Pa', 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm', - 101: 'Md', 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', - 110: 'Ds', 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} -NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} - def _convert_anymap_to_dict(obj): """ @@ -445,22 +431,6 @@ def species_to_dict(species): cantera_species = species.to_cantera(use_chemkin_identifier=True) species_data = cantera_species.input_data - mol = species.molecule[0] - atom_dict = dict(mol.get_element_count()) - - Z_mol = sum(NUMBER_BY_SYMBOL.get(atom, 0) * count for atom, count in atom_dict.items()) - charge = mol.get_net_charge() - - # Only add 'E' if the species is not neutral (or is a pure electron) - # E = protons - charge - new_E = Z_mol - charge - if new_E != 0: - atom_dict['E'] = new_E - elif 'E' in atom_dict: - del atom_dict['E'] - - species_data['composition'] = atom_dict - try: transport_comment = species.transport_data.comment if transport_comment: From 2d5cfda5ad6a12b9691563f74cfd71d6690f09db Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:26:18 -0500 Subject: [PATCH 456/700] [yaml_cantera2] Fixing 'E' electron count for charged species. Cantera says 'E' should be the number of electrons relative to the neutral molecule, not the total number of electrons. # The special pseudo-element E is used in representing charged species, where it specifies # the net number of electrons compared to the number needed to form a neutral species. # That is, negatively charged ions will have E > 0, while positively charged ions will have E < 0. # https://cantera.org/3.1/userguide/creating-mechanisms.html#elemental-composition --- rmgpy/yaml_cantera2.py | 20 +++++++------------- 1 file changed, 7 insertions(+), 13 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 8f819d720fb..ddaa6ca1403 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -299,20 +299,14 @@ def species_to_dict(species, species_list): mol = species.molecule[0] atom_dict = dict(mol.get_element_count()) - # --- FIX: Remove surface site marker 'X' --- - if 'X' in atom_dict: - del atom_dict['X'] - - # Calculate 'E' based on net charge: E = Z - charge - # --- FIX: Use .get() to avoid KeyError if 'X' or other unknown symbols are processed - Z_mol = sum(NUMBER_BY_SYMBOL.get(atom, 0) * count for atom, count in atom_dict.items()) + # Number of electrons 'E' + # The special pseudo-element E is used in representing charged species, where it specifies + # the net number of electrons compared to the number needed to form a neutral species. + # That is, negatively charged ions will have E > 0, while positively charged ions will have E < 0. + # https://cantera.org/3.1/userguide/creating-mechanisms.html#elemental-composition charge = mol.get_net_charge() - if 'E' not in atom_dict: # Don't double count if E is explicit - atom_dict['E'] = Z_mol - charge - - # Remove E if 0 to keep it clean - if atom_dict.get('E') == 0: - del atom_dict['E'] + if 'E' not in atom_dict and charge != 0: + atom_dict['E'] = -charge # Sort composition by atomic number atom_dict = {k: atom_dict[k] for k in sorted(atom_dict.keys(), key=lambda x: NUMBER_BY_SYMBOL.get(x, 999))} From 2be92eac8d8e52a89cf334cecb4067579e89c108 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:37:27 -0500 Subject: [PATCH 457/700] Rename 'yaml_cantera' to 'yaml_cantera1'. Since it (currently) lives alongside 'yaml_cantera2'. Neither should be a "privileged" with a numberless name. Hopefully makes it clearer to people that there are two of them. --- rmgpy/rmg/main.py | 10 +++++----- rmgpy/{yaml_cantera.py => yaml_cantera1.py} | 10 +++++----- test/rmgpy/rmg/mainTest.py | 10 +++++----- .../{cantera => cantera1}/chem37.yaml | 0 .../{cantera => cantera1}/chem47.yaml | 0 ...ml_canteraTest.py => yaml_cantera1Test.py} | 20 +++++++++---------- 6 files changed, 25 insertions(+), 25 deletions(-) rename rmgpy/{yaml_cantera.py => yaml_cantera1.py} (98%) rename test/rmgpy/test_data/yaml_writer_data/{cantera => cantera1}/chem37.yaml (100%) rename test/rmgpy/test_data/yaml_writer_data/{cantera => cantera1}/chem47.yaml (100%) rename test/rmgpy/{yaml_canteraTest.py => yaml_cantera1Test.py} (97%) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 8433928b818..1376ebefc44 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -84,7 +84,7 @@ from rmgpy.tools.compare_cantera_yaml import compare_yaml_files, compare_yaml_files_and_report from rmgpy.tools.uncertainty import Uncertainty, process_local_results from rmgpy.yaml_rms import RMSWriter -from rmgpy.yaml_cantera import CanteraWriter +from rmgpy.yaml_cantera1 import CanteraWriter1 from rmgpy.yaml_cantera2 import CanteraWriter2 ################################################################################ @@ -787,7 +787,7 @@ def register_listeners(self, requires_rms=False): self.attach(ChemkinWriter(self.output_directory)) self.attach(RMSWriter(self.output_directory)) - self.attach(CanteraWriter(self.output_directory)) + self.attach(CanteraWriter1(self.output_directory)) self.attach(CanteraWriter2(self.output_directory)) if self.generate_output_html: self.attach(OutputHTMLWriter(self.output_directory)) @@ -1236,7 +1236,7 @@ def execute(self, initialize=True, **kwargs): self.run_model_analysis() - # generate Cantera files chem.yaml & chem_annotated.yaml in a designated `cantera` output folder + # generate Cantera files chem.yaml & chem_annotated.yaml in designated Cantera output folders try: logging.info("Translating final chemkin file into Cantera yaml.") translated_cantera_file = None @@ -1289,8 +1289,8 @@ def execute(self, initialize=True, **kwargs): # Compare translated Cantera files and directly generated Cantera files compare_yaml_files_and_report(translated_cantera_file, - os.path.join(self.output_directory, "cantera", "chem.yaml"), - output=os.path.join(self.output_directory, "cantera", "comparison_report.txt")) + os.path.join(self.output_directory, "cantera1", "chem.yaml"), + output=os.path.join(self.output_directory, "cantera1", "comparison_report.txt")) compare_yaml_files_and_report(translated_cantera_file, os.path.join(self.output_directory, "cantera2", "chem.yaml"), output=os.path.join(self.output_directory, "cantera2", "comparison_report.txt")) diff --git a/rmgpy/yaml_cantera.py b/rmgpy/yaml_cantera1.py similarity index 98% rename from rmgpy/yaml_cantera.py rename to rmgpy/yaml_cantera1.py index 7b061b0e8e5..6f043c571e1 100644 --- a/rmgpy/yaml_cantera.py +++ b/rmgpy/yaml_cantera1.py @@ -450,7 +450,7 @@ def species_to_dict(species): return species_data -class CanteraWriter(object): +class CanteraWriter1(object): """ This class listens to a RMG subject and writes an YAML file with the current state of the RMG model, @@ -460,7 +460,7 @@ class CanteraWriter(object): A new instance of the class can be appended to a subject as follows: rmg = ... - listener = CanteraWriter(outputDirectory) + listener = CanteraWriter1(outputDirectory) rmg.attach(listener) Whenever the subject calls the .notify() method, the @@ -474,10 +474,10 @@ class CanteraWriter(object): """ def __init__(self, output_directory=""): - super(CanteraWriter, self).__init__() + super(CanteraWriter1, self).__init__() self.output_directory = output_directory - self.output_subdirectory = os.path.join(self.output_directory, "cantera") - make_output_subdirectory(output_directory, "cantera") + self.output_subdirectory = os.path.join(self.output_directory, "cantera1") + make_output_subdirectory(output_directory, "cantera1") def update(self, rmg): diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index f0887ce62d7..3b8c2768699 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -196,7 +196,7 @@ def test_make_cantera_input_file_directly(self): """ import cantera as ct - cantera_files = os.path.join(self.rmg.output_directory, "cantera") + cantera_files = os.path.join(self.rmg.output_directory, "cantera1") files = os.listdir(cantera_files) for f in files: if ".yaml" in f: @@ -208,10 +208,10 @@ def test_make_cantera_input_file_directly(self): def test_cantera_input_files_match_chemkin_later(self): """ Copy the Cantera YAML files (generated directly by RMG and converted from Chemkin) - to the test data directory so that yaml_canteraTest can compare them. + to the test data directory so that yaml_cantera1Test can compare them. """ # Find the RMG-generated cantera yaml file (named chem{N}.yaml) - cantera_dir = os.path.join(self.rmg.output_directory, "cantera") + cantera_dir = os.path.join(self.rmg.output_directory, "cantera1") cantera_from_ck_dir = os.path.join( self.rmg.output_directory, "cantera_from_ck" ) @@ -221,7 +221,7 @@ def test_cantera_input_files_match_chemkin_later(self): f for f in os.listdir(cantera_dir) if f.endswith('.yaml') ] assert len(cantera_files) > 0, \ - "No Cantera YAML files found in cantera directory" + "No Cantera YAML files found in cantera1 directory" # Sort by the number in the filename to get the final mechanism cantera_files.sort( key=lambda x: int(''.join(filter(str.isdigit, x)) or 0), @@ -231,7 +231,7 @@ def test_cantera_input_files_match_chemkin_later(self): rmg_yaml_path = os.path.join(cantera_dir, rmg_yaml_file) # Copy RMG-generated YAML to test data directory - test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera', 'from_main_test.yaml') + test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera1', 'from_main_test.yaml') shutil.copy(rmg_yaml_path, test_data_cantera_target) # Get the yaml file converted from chemkin diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml similarity index 100% rename from test/rmgpy/test_data/yaml_writer_data/cantera/chem37.yaml rename to test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml similarity index 100% rename from test/rmgpy/test_data/yaml_writer_data/cantera/chem47.yaml rename to test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml diff --git a/test/rmgpy/yaml_canteraTest.py b/test/rmgpy/yaml_cantera1Test.py similarity index 97% rename from test/rmgpy/yaml_canteraTest.py rename to test/rmgpy/yaml_cantera1Test.py index 114438f5024..401da7a2a7b 100644 --- a/test/rmgpy/yaml_canteraTest.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -28,7 +28,7 @@ ############################################################################### """ -Tests for rmgpy.yaml_cantera module. +Tests for rmgpy.yaml_cantera1 module. """ import copy @@ -36,17 +36,17 @@ import pytest import yaml -from rmgpy.yaml_cantera import ( - CanteraWriter, +from rmgpy.yaml_cantera1 import ( + CanteraWriter1, ) -class TestCanteraWriter: - """Tests for the CanteraWriter class.""" +class TestCanteraWriter1: + """Tests for the CanteraWriter1 class.""" def test_can_instantiate(self): - """Test that CanteraWriter can be instantiated.""" - writer = CanteraWriter() + """Test that CanteraWriter1 can be instantiated.""" + writer = CanteraWriter1() assert writer is not None class CanteraYamlFileComparer: @@ -206,7 +206,7 @@ class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): test_data_folder='test/rmgpy/test_data/yaml_writer_data/' # generated on the fly in recent functional test yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem37.yaml') class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing recently generated Cantera YAML files, gas-only mechanism. @@ -218,7 +218,7 @@ class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): @pytest.fixture(autouse=True, scope="class") def find_recent_files(self, request): """Find the YAML files generated by mainTest.""" - cantera_dir = os.path.join(self.test_data_folder, 'cantera') + cantera_dir = os.path.join(self.test_data_folder, 'cantera1') chemkin_dir = os.path.join(self.test_data_folder, 'chemkin') if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): @@ -243,4 +243,4 @@ class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): test_data_folder='test/rmgpy/test_data/yaml_writer_data/' # saved by Prosper in earlier commit yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml') + yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem47.yaml') From aa46216a6163f7d1254769ec08c79d175d41f1d9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:55:49 -0500 Subject: [PATCH 458/700] [RMG/main] get_git_commit now returns strings not bytes The Arkane version of this aleady does the decoding. --- rmgpy/rmg/main.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 1376ebefc44..c26303f72dd 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -2179,8 +2179,9 @@ def get_git_commit(self, module_path): if os.path.exists(os.path.join(module_path, "..", ".git")): try: - return subprocess.check_output(["git", "log", "--format=%H%n%cd", "-1"], cwd=module_path).splitlines() - except: + head, date = subprocess.check_output(["git", "log", "--format=%H%n%cd", "-1"], cwd=module_path).splitlines() + return head.decode(), date.decode() + except (subprocess.CalledProcessError, OSError): return "", "" else: return "", "" From 85980654ee3ea0a130578f7319c630b2e6b099bb Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:56:56 -0500 Subject: [PATCH 459/700] [yaml_cantera2] Detailed logging of the yaml generator --- rmgpy/yaml_cantera2.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index ddaa6ca1403..45e48d3d4a3 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -184,9 +184,16 @@ def generate_cantera_data(species_list, """ # --- 1. Header & Units --- # We output everything in SI units. + try: + from rmgpy.rmg.main import RMG + git_head, _ = RMG.get_git_commit(None, os.path.dirname(__file__)) + git_head = " (git commit: {0})".format(git_head[:7]) + except Exception: + git_head = '' + data = { 'description': 'RMG-Py Generated Mechanism', - 'generator': 'RMG-Py CanteraWriter2', + 'generator': f'RMG-Py CanteraWriter2 at {__file__}{git_head}', 'cantera-version': '3.1', 'units': { 'length': 'm', From 5f1c8a3c28d5f989315252e653c059375fd04e00 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 20 Feb 2026 11:57:05 -0500 Subject: [PATCH 460/700] [yaml_cantera1] Detailed logging of the yaml generator --- rmgpy/yaml_cantera1.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 6f043c571e1..18afd219cd6 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -96,6 +96,13 @@ def write_cantera( Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info. """ + try: + from rmgpy.rmg.main import RMG + git_head, _ = RMG.get_git_commit(None, os.path.dirname(__file__)) + git_head = " (git commit: {0})".format(git_head[:7]) + except Exception: + git_head = '' + # intro to file will change depending on the presence of surface species is_surface = False for spc in spcs: @@ -116,7 +123,8 @@ def write_cantera( with open(path, "w") as f: # generator line - f.write("generator: RMG\n") + generator = f"RMG-Py CanteraWriter1 at {__file__}{git_head}" + f.write(f'generator: "{generator}"\n') # datetime object containing current date and time now = datetime.now() From 4c87a1bb1792939fa2b1441765ba94c29bd30288 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 21 Feb 2026 11:52:09 -0500 Subject: [PATCH 461/700] Revert "Converted cantera SI units to the units specified in write_cantera" This reverts commit 82d2b5ee6cfb83b98d55a34fb38c6a632bc9288b. We get the unit conversion wrong in some cases. Let's see if Cantera can handle it, rather than having to maintain several different complicated conversions. --- rmgpy/yaml_cantera1.py | 82 ------------------------------------------ 1 file changed, 82 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 18afd219cd6..e4f601c4119 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -43,7 +43,6 @@ MultiArrhenius, MultiPDepArrhenius, ) -from rmgpy.kinetics.falloff import ThirdBody from rmgpy.util import make_output_subdirectory from datetime import datetime from rmgpy.chemkin import get_species_identifier @@ -313,81 +312,11 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): return result_dict -def _get_A_conversion_factor(n_reactants): - """ - Get the conversion factor for the pre-exponential factor A from - Cantera's SI default units to the declared YAML units - (length: cm, quantity: mol). - - Cantera's input_data returns A in SI units (m, kmol, s). - The YAML file declares units: {length: cm, quantity: mol}. - - The conversion depends on the reaction order (number of reactant - molecules), NOT on rate_coeff_units (which is Units(0.0) for - reactions created programmatically via to_cantera()). - - For rate constant units [length^(3*(n-1)) / quantity^(n-1) / time]: - length: m -> cm => multiply by (1e2)^(3*(n-1)) = 1e(6*(n-1)) - quantity: kmol -> mol => divide by (1e3)^(n-1) = 1e(3*(n-1)) - Combined: 1e(6*(n-1)) / 1e(3*(n-1)) = 1e(3*(n-1)) - - Conversion factors by reaction order: - - Unimolecular (n=1): 1e0 = 1 - - Bimolecular (n=2): 1e3 = 1000 - - Termolecular (n=3): 1e6 = 1000000 - """ - order = max(n_reactants - 1, 0) - return 10.0 ** (3 * order) - - -# Conversion factor for activation energy: J/kmol -> kcal/mol -_EA_CONVERSION_FACTOR = 1.0 / 4184000.0 # 4184 J/kcal * 1000 mol/kmol - - -def _convert_rate_constant_units(rate_dict, A_factor): - """ - Convert a rate-constant dictionary {A, b, Ea} from Cantera SI defaults - (m, kmol, J/kmol) to declared YAML units (cm, mol, kcal/mol). - Modifies the dictionary in place. - """ - if 'A' in rate_dict: - rate_dict['A'] = rate_dict['A'] * A_factor - if 'Ea' in rate_dict: - rate_dict['Ea'] = rate_dict['Ea'] * _EA_CONVERSION_FACTOR - - -def _convert_reaction_data_units(reaction_data, n_reactants): - """ - Convert all rate parameters in a reaction_data dict from Cantera SI - defaults to the declared YAML units (cm, mol, kcal/mol). - - Handles simple Arrhenius (rate-constant), three-body, and - falloff (high-P-rate-constant, low-P-rate-constant) reactions. - - n_reactants is the number of reactant molecules in the RMG reaction, - used to determine the A conversion factor. - """ - A_factor = _get_A_conversion_factor(n_reactants) - - if 'rate-constant' in reaction_data: - _convert_rate_constant_units(reaction_data['rate-constant'], A_factor) - if 'high-P-rate-constant' in reaction_data: - _convert_rate_constant_units(reaction_data['high-P-rate-constant'], A_factor) - if 'low-P-rate-constant' in reaction_data: - # Low-P limit is one order higher in concentration than high-P - low_P_A_factor = _get_A_conversion_factor(n_reactants + 1) - _convert_rate_constant_units(reaction_data['low-P-rate-constant'], low_P_A_factor) - - def reaction_to_dicts(obj, spcs): """ Takes an RMG reaction object (obj), returns a list of dictionaries for YAML properties. For most reaction objects the list will be of length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer. - - The returned dictionaries have rate parameters converted from Cantera's - SI default units (m, kmol, J/kmol) to the declared YAML units - (cm, mol, kcal/mol) so the YAML file is self-consistent. """ reaction_list = [] @@ -398,19 +327,8 @@ def reaction_to_dicts(obj, spcs): else: list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)] - # Count reactant molecules from the RMG reaction object. - # This is used to determine the A conversion factor since - # rate_coeff_units is Units(0.0) for programmatically-created reactions. - n_reactants = len(obj.reactants) - - # For three-body reactions (+ M), the third body M acts as an - # additional reactant for unit purposes, so increment n_reactants. - if isinstance(obj.kinetics, ThirdBody): - n_reactants += 1 - for reaction in list_of_cantera_reactions: reaction_data = reaction.input_data - _convert_reaction_data_units(reaction_data, n_reactants) efficiencies = getattr(obj.kinetics, "efficiencies", {}) if efficiencies: reaction_data["efficiencies"] = { From 1051a90c54ecdde90bb192ebdf5d3fbc31223823 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 21 Feb 2026 11:54:28 -0500 Subject: [PATCH 462/700] [yaml_cantera1] Report things in cantera default internal units. The result might be ugly, but hopefully will be correct! --- rmgpy/yaml_cantera1.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index e4f601c4119..196212e611c 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -132,7 +132,7 @@ def write_cantera( # units line f.write( - "\nunits: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol}\n\n" + "\nunits: {length: m, time: s, quantity: kmol, activation-energy: J/kmol}\n\n" ) f.write(phases_block) From 1c4790aa89415be6e6c712c4b181cc0b0ace29c0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 15:17:13 -0400 Subject: [PATCH 463/700] [yaml_cantera1] Add coverage-dependent thermo to CanteraWriter1 When surface species have thermo_coverage_dependence set (from PR #2646), CanteraWriter1 now writes coverage-dependencies into the species entries and switches the surface phase thermo from 'ideal-surface' to 'coverage-dependent-surface', adding the required reference-state-coverage. The new build_coverage_dependencies() helper resolves the adjacency-list keys in thermo_coverage_dependence to Chemkin-style species identifiers, converting ScalarQuantity coefficients to SI float values. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera1.py | 47 +++++++++++++++++++++++++++++++++++++++--- 1 file changed, 44 insertions(+), 3 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 196212e611c..6c873dd4884 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -82,6 +82,34 @@ def _convert_anymap_to_dict(obj): return obj +def build_coverage_dependencies(species, all_species): + """ + Build the coverage-dependencies dict for a surface species with coverage-dependent thermo. + + Returns a dict mapping dependent species name -> Cantera coverage-dep parameters, + or None if this species has no coverage-dependent thermo. + """ + if not species.contains_surface_site(): + return None + thermo = species.thermo + if not hasattr(thermo, 'thermo_coverage_dependence') or not thermo.thermo_coverage_dependence: + return None + + from rmgpy.molecule.molecule import Molecule + cov_deps = {} + for adj_list, parameters in thermo.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(adj_list) + for sp in all_species: + if sp.is_isomorphic(mol, strict=False): + cov_deps[get_species_identifier(sp)] = { + 'units': {'energy': 'J', 'quantity': 'mol'}, + 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']], + } + break + return cov_deps if cov_deps else None + + def write_cantera( spcs, rxns, @@ -108,11 +136,15 @@ def write_cantera( if spc.contains_surface_site(): is_surface = True if is_surface: + has_coverage_dependence = any( + hasattr(spc.thermo, 'thermo_coverage_dependence') and spc.thermo.thermo_coverage_dependence + for spc in spcs if spc.contains_surface_site() + ) result_dict = get_mech_dict_surface( spcs, rxns, solvent=solvent, solvent_data=solvent_data ) phases_block = get_phases_with_surface( - spcs, surface_site_density + spcs, surface_site_density, has_coverage_dependence=has_coverage_dependence ) else: result_dict = get_mech_dict_nonsurface( @@ -192,7 +224,7 @@ def get_phases_gas_only(spcs): return phases_block -def get_phases_with_surface(spcs, surface_site_density): +def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence=False): """ Yaml files with surface species begin with the following blocks of text, which includes TWO phases instead of just one. @@ -230,6 +262,9 @@ def get_phases_with_surface(spcs, surface_site_density): for s in gas_species_to_write ] + surface_thermo = 'coverage-dependent-surface' if has_coverage_dependence else 'ideal-surface' + reference_state_line = '\n reference-state-coverage: 0.11' if has_coverage_dependence else '' + phases_block = f""" phases: - name: gas @@ -242,7 +277,7 @@ def get_phases_with_surface(spcs, surface_site_density): state: {{T: 300.0, P: 1 atm}} - name: surface - thermo: ideal-surface + thermo: {surface_thermo}{reference_state_line} adjacent-phases: [gas] {ELEMENTS_LINE} species: [{', '.join(surface_species_to_write)}] @@ -276,6 +311,12 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): result_dict = dict() result_dict["species"] = [species_to_dict(x) for x in spcs] + # Add coverage-dependencies to surface species that have them + for i, spc in enumerate(spcs): + cov_deps = build_coverage_dependencies(spc, spcs) + if cov_deps: + result_dict["species"][i]['coverage-dependencies'] = cov_deps + # separate gas and surface reactions gas_reactions = [] From 2d0fbbb98d83447faad959d5fc72fe05c5006a81 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 15:18:45 -0400 Subject: [PATCH 464/700] [yaml_cantera2] Add coverage-dependent thermo to CanteraWriter2 When surface species have thermo_coverage_dependence set (from PR #2646), CanteraWriter2 now writes coverage-dependencies into the species entries (in species_to_dict) and switches the surface phase thermo from 'ideal-surface' to 'coverage-dependent-surface', adding the required reference-state-coverage field. Species names in coverage-dependencies keys use the same get_label() format as the rest of CanteraWriter2's output, consistent with how dependent species are referenced throughout that file. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera2.py | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 45e48d3d4a3..1ef5cb26931 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -260,9 +260,14 @@ def generate_cantera_data(species_list, if surface_species: default_site_density = 2.5e-5 # mol/m^2 + has_coverage_dependence = any( + hasattr(sp.thermo, 'thermo_coverage_dependence') and sp.thermo.thermo_coverage_dependence + for sp in surface_species + ) + surface_phase_def = { 'name': 'surface', - 'thermo': 'ideal-surface', + 'thermo': 'coverage-dependent-surface' if has_coverage_dependence else 'ideal-surface', 'adjacent-phases': ['gas'], 'elements': sorted(list(elements_set)), 'species': [get_label(sp, species_list) for sp in surface_species], @@ -270,6 +275,8 @@ def generate_cantera_data(species_list, 'reactions': 'declared-species', 'site-density': site_density or default_site_density } + if has_coverage_dependence: + surface_phase_def['reference-state-coverage'] = 0.11 phases.append(surface_phase_def) data['phases'] = phases @@ -370,6 +377,27 @@ def species_to_dict(species, species_list): if notes: species_entry['note'] = " | ".join(notes) + # Add coverage-dependencies if this surface species has coverage-dependent thermo + if (species.contains_surface_site() and + hasattr(thermo_data, 'thermo_coverage_dependence') and + thermo_data.thermo_coverage_dependence): + from rmgpy.molecule.molecule import Molecule + cov_deps = {} + for adj_list, parameters in thermo_data.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(adj_list) + for sp in species_list: + if sp.is_isomorphic(mol, strict=False): + dep_label = get_label(sp, species_list) + if dep_label: + cov_deps[dep_label] = { + 'units': {'energy': 'J', 'quantity': 'mol'}, + 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']], + } + break + if cov_deps: + species_entry['coverage-dependencies'] = cov_deps + return species_entry From 0192058eb8c076886e231fb99ba30d70b14e06a9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 8 Apr 2026 15:52:35 -0400 Subject: [PATCH 465/700] Move coverage-dependent thermo into Species.to_cantera() MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Coverage-dependence is a species-level concept in Cantera, not a NasaPoly2-level one — the old TODO in NASA.to_cantera() was misdirected. The right place is Species.to_cantera(), which has access to the full species context and can use ct.Species.update_user_data() to attach coverage-dependencies so they appear in input_data and any YAML serialised by Cantera natively. Changes: - Species.to_cantera() gains an optional all_species parameter. When provided for a surface species with thermo_coverage_dependence, it resolves the adjacency-list keys to species names (honouring use_chemkin_identifier) and calls ct_species.update_user_data(). - yaml_cantera1: species_to_dict() forwards all_species to to_cantera(); get_mech_dict_surface() passes spcs as all_species. The separate build_coverage_dependencies() helper and post-processing loop are removed — coverage-deps now travel with the Cantera object itself, consistent with CanteraWriter1's design philosophy. - nasa.pyx: remove the stale TODO comment (now resolved). Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/species.py | 33 +++++++++++++++++++++++++++- rmgpy/thermo/nasa.pyx | 1 - rmgpy/yaml_cantera1.py | 49 ++++++++---------------------------------- 3 files changed, 41 insertions(+), 42 deletions(-) diff --git a/rmgpy/species.py b/rmgpy/species.py index d89cf8c8645..92bb4e805e3 100644 --- a/rmgpy/species.py +++ b/rmgpy/species.py @@ -428,13 +428,18 @@ def to_chemkin(self): from rmgpy.chemkin import get_species_identifier return get_species_identifier(self) - def to_cantera(self, use_chemkin_identifier=False): + def to_cantera(self, use_chemkin_identifier=False, all_species=None): """ Converts the RMG Species object to a Cantera Species object with the appropriate thermo data. If use_chemkin_identifier is set to False, the species label is used instead. Be sure that species' labels are unique when setting it False. + + If all_species is provided and this is a surface species with + coverage-dependent thermo, the coverage-dependencies are attached to + the Cantera Species object via update_user_data() so that they appear + in input_data and in Solution.write_yaml() output. """ import cantera as ct @@ -475,6 +480,32 @@ def to_cantera(self, use_chemkin_identifier=False): if self.transport_data: ct_species.transport = self.transport_data.to_cantera() + # Attach coverage-dependent thermo if present. + # thermo_coverage_dependence keys are adjacency-list strings; we resolve + # them to species names here using all_species. The data is stored via + # update_user_data() so it appears in ct_species.input_data and in any + # YAML serialised by Cantera (e.g. Solution.write_yaml()). + if (all_species is not None + and self.contains_surface_site() + and self.thermo + and hasattr(self.thermo, 'thermo_coverage_dependence') + and self.thermo.thermo_coverage_dependence): + from rmgpy.molecule.molecule import Molecule + cov_deps = {} + for adj_list, parameters in self.thermo.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(adj_list) + for sp in all_species: + if sp.is_isomorphic(mol, strict=False): + dep_name = sp.to_chemkin() if use_chemkin_identifier else sp.label + cov_deps[dep_name] = { + 'units': {'energy': 'J', 'quantity': 'mol'}, + 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']], + 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']], + } + break + if cov_deps: + ct_species.update_user_data({'coverage-dependencies': cov_deps}) + return ct_species def has_statmech(self): diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index 0ee505e4167..a12b086332e 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -421,7 +421,6 @@ cdef class NASA(HeatCapacityModel): poly.change_base_entropy(deltaS) return self - # need to modify this to include the thermo coverage dependence def to_cantera(self): """ Return the cantera equivalent NasaPoly2 object from this NASA object. diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 6c873dd4884..54b64a9ac38 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -82,34 +82,6 @@ def _convert_anymap_to_dict(obj): return obj -def build_coverage_dependencies(species, all_species): - """ - Build the coverage-dependencies dict for a surface species with coverage-dependent thermo. - - Returns a dict mapping dependent species name -> Cantera coverage-dep parameters, - or None if this species has no coverage-dependent thermo. - """ - if not species.contains_surface_site(): - return None - thermo = species.thermo - if not hasattr(thermo, 'thermo_coverage_dependence') or not thermo.thermo_coverage_dependence: - return None - - from rmgpy.molecule.molecule import Molecule - cov_deps = {} - for adj_list, parameters in thermo.thermo_coverage_dependence.items(): - mol = Molecule().from_adjacency_list(adj_list) - for sp in all_species: - if sp.is_isomorphic(mol, strict=False): - cov_deps[get_species_identifier(sp)] = { - 'units': {'energy': 'J', 'quantity': 'mol'}, - 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']], - 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']], - } - break - return cov_deps if cov_deps else None - - def write_cantera( spcs, rxns, @@ -309,13 +281,7 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x) for x in spcs] - - # Add coverage-dependencies to surface species that have them - for i, spc in enumerate(spcs): - cov_deps = build_coverage_dependencies(spc, spcs) - if cov_deps: - result_dict["species"][i]['coverage-dependencies'] = cov_deps + result_dict["species"] = [species_to_dict(x, all_species=spcs) for x in spcs] # separate gas and surface reactions @@ -386,16 +352,19 @@ def reaction_to_dicts(obj, spcs): return reaction_list -def species_to_dict(species): +def species_to_dict(species, all_species=None): """ - Takes an RMG species object, returns a list of dictionaries - for YAML properties. Also adds in the number of surface sites - ('sites') to dictionary. + Takes an RMG species object, returns a dictionary of YAML properties. + Also adds in the number of surface sites ('sites') to the dictionary. + + all_species: if provided, coverage-dependent thermo is resolved and + attached to the Cantera species object before serialisation, so it + appears in the returned dict automatically. """ if not isinstance(species, Species): raise TypeError("species object must be an RMG Species") - cantera_species = species.to_cantera(use_chemkin_identifier=True) + cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species) species_data = cantera_species.input_data try: From a7c25504d940f2928a5997da3260014f6d8f447e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 10:28:06 -0400 Subject: [PATCH 466/700] [yaml_cantera2] use label if it's a Species (should save time) --- rmgpy/yaml_cantera2.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 1ef5cb26931..04041ac28a9 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -48,8 +48,8 @@ from rmgpy.util import make_output_subdirectory import rmgpy.constants as constants +from rmgpy.species import Species if TYPE_CHECKING: - from rmgpy.species import Species from rmgpy.molecule.molecule import Molecule SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne', @@ -612,6 +612,9 @@ def get_reaction_equation(reaction, species_list): def get_label(obj: Union['Species', 'Molecule'], species_list: list['Species']): + if isinstance(obj, Species): + return f'{obj.label}({obj.index})' if obj.index > 0 else obj.label + if species_list: for sp in species_list: if sp.is_isomorphic(obj): From 5fb9f4932d0111960aee1e30a42f1d90ae861d4b Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 10:28:40 -0400 Subject: [PATCH 467/700] [yaml_cantera2] write species list in order of index --- rmgpy/yaml_cantera2.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 04041ac28a9..420cf61a0f5 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -203,10 +203,13 @@ def generate_cantera_data(species_list, } } + # Sort species list by index + sorted_species = sorted(species_list, key=lambda species: species.index) + # --- 2. Phase Segregation (Gas vs Surface) --- gas_species, surface_species, gas_reactions, surface_reactions = list(), list(), list(), list() - for spc in species_list: + for spc in sorted_species: if spc.contains_surface_site(): surface_species.append(spc) else: @@ -223,7 +226,7 @@ def generate_cantera_data(species_list, elements_set = set(base_elements) if search_for_additional_elements: - for spc in species_list: + for spc in sorted_species: if spc.molecule and len(spc.molecule) > 0: if spc.is_electron(): elements_set.add('E') From ff3a327b02f83458869dee7be4ddb169659760e8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 9 Apr 2026 10:29:22 -0400 Subject: [PATCH 468/700] [yaml_cantera2] fix unit test (detecting the generator field) --- test/rmgpy/yaml_cantera2Test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 747ca33578b..e27915f2f5a 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -363,7 +363,7 @@ def test_cantera_writer_class_listener(self): with open(latest_file, 'r') as f: content = f.read() - assert "generator: RMG-Py CanteraWriter2" in content + assert "generator: RMG-Py CanteraWriter2" in content or "generator: 'RMG-Py CanteraWriter2" in content assert "phases:" in content assert "species:" in content From 20f9a7e4ba1deb0a08c89085e0d01b2769ee4481 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 23:12:48 -0400 Subject: [PATCH 469/700] Fix PDepArrhenius.set_cantera_kinetics for duplicate-pressure PLOG MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When a chemkin PLOG block has multiple Arrhenius expressions at the same pressure (e.g. CH2O+H=HCO+H2 in Klippenstein/Glarborg 2016), RMG's chemkin parser stores them as a MultiArrhenius inside the PDepArrhenius `arrhenius` list. set_cantera_kinetics assumed every entry was a single Arrhenius and crashed with AttributeError: 'MultiArrhenius' object has no attribute 'to_cantera_kinetics' Expand each MultiArrhenius into one (pressure, Arrhenius) tuple per inner expression. Cantera's PlogRate sums duplicate-pressure entries at evaluation, matching the existing chemkin/RMG semantics — verified numerically against PDepArrhenius.get_rate_coefficient. This mirrors the chemkin writer, which already emits one PLOG line per inner Arrhenius at the shared pressure. --- rmgpy/kinetics/arrhenius.pyx | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 6252b6ce950..69a49bde303 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -946,17 +946,24 @@ cdef class PDepArrhenius(PDepKineticsModel): def set_cantera_kinetics(self, ct_reaction, species_list): """ Sets a Cantera PlogReaction()'s `rates` attribute with - A list of tuples containing [(pressure in Pa, cantera arrhenius object), (..)] + a list of tuples containing [(pressure in Pa, cantera arrhenius object), ...]. + + A ``MultiArrhenius`` entry (from chemkin PLOG blocks with duplicate + pressures) is expanded into one tuple per inner Arrhenius; Cantera's + PlogRate sums duplicate-pressure entries at evaluation. """ import cantera as ct - import copy assert isinstance(ct_reaction.rate, ct.PlogRate), "Must have a Cantera PlogRate attribute" - pressures = copy.deepcopy(self._pressures.value_si) - ctArrhenius = [arr.to_cantera_kinetics(arrhenius_class=True) for arr in self.arrhenius] + rate_pairs = [] + for P, arr in zip(self._pressures.value_si, self.arrhenius): + if isinstance(arr, MultiArrhenius): + for sub in arr.arrhenius: + rate_pairs.append((P, sub.to_cantera_kinetics(arrhenius_class=True))) + else: + rate_pairs.append((P, arr.to_cantera_kinetics(arrhenius_class=True))) - new_rates = ct.PlogRate(list(zip(pressures, ctArrhenius))) - ct_reaction.rate = new_rates + ct_reaction.rate = ct.PlogRate(rate_pairs) ################################################################################ From ccb9b3aed5d4aef71fb8c4b5de0ed2ca118913c3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 23:23:37 -0400 Subject: [PATCH 470/700] [yaml_cantera2] Unbox numpy P scalars in PDepArrhenius rate-constants Iterating kin.pressures.value_si yields numpy.float64 scalars. PyYAML serialized those as !!python/object/apply:numpy.core.multiarray.scalar with binary-encoded bytes, producing rate-constants entries that were unreadable as a Cantera YAML mechanism. Cast P to float so the entry serializes as a plain number, matching the A/b/Ea fields (which already came out as Python floats via Quantity.value_si). Co-Authored-By: Claude Opus 4.7 --- rmgpy/yaml_cantera2.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 420cf61a0f5..468bad0d6ec 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -530,13 +530,13 @@ def reaction_to_dict_list(reaction, species_list=None): if current_arr: rates.append({ - 'P': P, + 'P': float(P), 'A': current_arr.A.value_si, 'b': current_arr.n.value_si, 'Ea': current_arr.Ea.value_si }) else: - rates.append({'P': P, 'A': 0.0, 'b': 0.0, 'Ea': 0.0}) + rates.append({'P': float(P), 'A': 0.0, 'b': 0.0, 'Ea': 0.0}) sub_entry['rate-constants'] = rates entries.append(sub_entry) @@ -547,7 +547,7 @@ def reaction_to_dict_list(reaction, species_list=None): rates = [] for P, arr in zip(kin.pressures.value_si, kin.arrhenius): rates.append({ - 'P': P, + 'P': float(P), 'A': arr.A.value_si, 'b': arr.n.value_si, 'Ea': arr.Ea.value_si From 049959d2a484e4d03579144f42b2976213e7b01d Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 30 Apr 2026 23:41:01 -0400 Subject: [PATCH 471/700] [yaml_cantera2] Emit duplicate-pressure PLOG as one reaction, not split duplicates MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A chemkin PLOG block with multiple Arrhenius expressions at the same pressure (stored in RMG as a MultiArrhenius inside PDepArrhenius) means "sum at each pressure, then log-linear interpolate between summed values." The previous code split these into N separate duplicate: true reactions, each carrying one component across all pressures. That is the opposite ordering — interpolate each component, then sum — and it gives noticeably different rates at intermediate pressures (verified numerically; up to ~7% off for CH2O+H=HCO+H2 in Klippenstein/Glarborg). Emit a single pressure-dependent-Arrhenius reaction whose rate-constants list expands each MultiArrhenius into one entry per inner Arrhenius at the shared pressure. Cantera's PlogRate sums duplicate-pressure entries at evaluation, matching the chemkin semantics. This mirrors the cantera1 writer's existing approach and the recently fixed PDepArrhenius.set_cantera_kinetics. Co-Authored-By: Claude Opus 4.7 --- rmgpy/yaml_cantera2.py | 65 +++++++++++------------------------------- 1 file changed, 16 insertions(+), 49 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 468bad0d6ec..701400ae57c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -501,58 +501,25 @@ def reaction_to_dict_list(reaction, species_list=None): (lbl := get_label(m, species_list)) is not None} elif isinstance(kin, PDepArrhenius): - # Check if any pressure point uses MultiArrhenius (sum of rates) - has_multi = any(isinstance(arr, MultiArrhenius) for arr in kin.arrhenius) - - if has_multi: - max_terms = 0 - for arr in kin.arrhenius: - if isinstance(arr, MultiArrhenius): - max_terms = max(max_terms, len(arr.arrhenius)) - else: - max_terms = max(max_terms, 1) - - entries = [] - for i in range(max_terms): - sub_entry = entry.copy() - sub_entry['type'] = 'pressure-dependent-Arrhenius' - sub_entry['duplicate'] = True - - rates = [] - for P, arr in zip(kin.pressures.value_si, kin.arrhenius): - current_arr = None - if isinstance(arr, MultiArrhenius): - if i < len(arr.arrhenius): - current_arr = arr.arrhenius[i] - elif isinstance(arr, Arrhenius): - if i == 0: - current_arr = arr - - if current_arr: - rates.append({ - 'P': float(P), - 'A': current_arr.A.value_si, - 'b': current_arr.n.value_si, - 'Ea': current_arr.Ea.value_si - }) - else: - rates.append({'P': float(P), 'A': 0.0, 'b': 0.0, 'Ea': 0.0}) - - sub_entry['rate-constants'] = rates - entries.append(sub_entry) - return entries - - else: - entry['type'] = 'pressure-dependent-Arrhenius' - rates = [] - for P, arr in zip(kin.pressures.value_si, kin.arrhenius): + # A MultiArrhenius entry comes from a chemkin PLOG block with duplicate + # pressures; expand it into one rate-constants entry per inner Arrhenius + # at the shared pressure. Cantera's pressure-dependent-Arrhenius sums + # duplicate-pressure entries at evaluation, matching chemkin semantics. + # Splitting into separate `duplicate: true` reactions would be wrong: + # that interpolates each component independently, then sums, which + # gives different rates at intermediate pressures. + entry['type'] = 'pressure-dependent-Arrhenius' + rates = [] + for P, arr in zip(kin.pressures.value_si, kin.arrhenius): + sub_arrhenius = arr.arrhenius if isinstance(arr, MultiArrhenius) else [arr] + for sub in sub_arrhenius: rates.append({ 'P': float(P), - 'A': arr.A.value_si, - 'b': arr.n.value_si, - 'Ea': arr.Ea.value_si + 'A': sub.A.value_si, + 'b': sub.n.value_si, + 'Ea': sub.Ea.value_si }) - entry['rate-constants'] = rates + entry['rate-constants'] = rates else: logging.warning(f"Skipping reaction {equation}: Unknown kinetics type {type(kin)}") From 5e0a7d9ba40a452d12dc2d1dfa6785572937d1f3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 11:15:28 -0400 Subject: [PATCH 472/700] [yaml_cantera1] Add verboseComments support MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When rmg.verbose_comments is True (set via verboseComments=True in the input file's options block), CanteraWriter1 now also writes a chem_annotated.yaml file alongside the regular chem.yaml. The annotated file includes species SMILES and thermo notes, transport comments, and per-reaction source (template family / library / PDep network), specific-collider, and kinetics comments — mirroring the verbose annotations the ChemkinWriter puts in chem_annotated.inp. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera1.py | 92 ++++++++++++++++++++++++++++++++---------- 1 file changed, 71 insertions(+), 21 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 54b64a9ac38..18428b4a5e0 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -46,6 +46,9 @@ from rmgpy.util import make_output_subdirectory from datetime import datetime from rmgpy.chemkin import get_species_identifier +from rmgpy.data.kinetics.family import TemplateReaction +from rmgpy.data.kinetics.library import LibraryReaction +from rmgpy.rmg.pdep import PDepReaction def _convert_anymap_to_dict(obj): @@ -89,10 +92,12 @@ def write_cantera( solvent=None, solvent_data=None, path="chem.yml", + verbose=False, ): """ Writes yaml file depending on the type of system (gas-phase, catalysis). Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info. + If verbose=True, species and reaction notes (SMILES, source, kinetics comment) are included. """ try: @@ -113,14 +118,14 @@ def write_cantera( for spc in spcs if spc.contains_surface_site() ) result_dict = get_mech_dict_surface( - spcs, rxns, solvent=solvent, solvent_data=solvent_data + spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose ) phases_block = get_phases_with_surface( spcs, surface_site_density, has_coverage_dependence=has_coverage_dependence ) else: result_dict = get_mech_dict_nonsurface( - spcs, rxns, solvent=solvent, solvent_data=solvent_data + spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose ) phases_block = get_phases_gas_only(spcs) @@ -262,7 +267,7 @@ def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence= return phases_block -def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): +def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None, verbose=False): """ For systems with surface species/reactions. Adds 'species', 'gas-reactions', and 'site0-reactions' to result_dict. @@ -281,24 +286,24 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x, all_species=spcs) for x in spcs] + result_dict["species"] = [species_to_dict(x, all_species=spcs, verbose=verbose) for x in spcs] # separate gas and surface reactions gas_reactions = [] for rmg_rxn in gas_rxns: - gas_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + gas_reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) result_dict["gas-reactions"] = gas_reactions surface_reactions = [] for rmg_rxn in surface_rxns: - surface_reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + surface_reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) result_dict["site0-reactions"] = surface_reactions return result_dict -def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): +def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None, verbose=False): """ For gas-phase systems. Adds 'species' and 'reactions' to result_dict. @@ -309,21 +314,22 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x) for x in spcs] + result_dict["species"] = [species_to_dict(x, verbose=verbose) for x in spcs] reactions = [] for rmg_rxn in rxns: - reactions.extend(reaction_to_dicts(rmg_rxn, spcs)) + reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) result_dict["reactions"] = reactions return result_dict -def reaction_to_dicts(obj, spcs): +def reaction_to_dicts(obj, spcs, verbose=False): """ Takes an RMG reaction object (obj), returns a list of dictionaries for YAML properties. For most reaction objects the list will be of length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer. + If verbose=True, a 'note' field is added with source and kinetics comment. """ reaction_list = [] @@ -347,12 +353,28 @@ def reaction_to_dicts(obj, spcs): } # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) + + if verbose: + note_parts = [] + if isinstance(obj, TemplateReaction): + note_parts.append(f"Template reaction: {obj.family}") + elif isinstance(obj, LibraryReaction): + note_parts.append(f"Library reaction: {obj.library}") + elif isinstance(obj, PDepReaction): + note_parts.append(f"PDep reaction: {obj.network}") + if obj.specific_collider is not None: + note_parts.append(f"Specific collider: {obj.specific_collider.label}") + if obj.kinetics.comment: + note_parts.append(obj.kinetics.comment.replace('\n', '; ').strip()) + if note_parts: + reaction_data["note"] = " | ".join(note_parts) + reaction_list.append(reaction_data) return reaction_list -def species_to_dict(species, all_species=None): +def species_to_dict(species, all_species=None, verbose=False): """ Takes an RMG species object, returns a dictionary of YAML properties. Also adds in the number of surface sites ('sites') to the dictionary. @@ -360,6 +382,7 @@ def species_to_dict(species, all_species=None): all_species: if provided, coverage-dependent thermo is resolved and attached to the Cantera species object before serialisation, so it appears in the returned dict automatically. + If verbose=True, species SMILES and thermo/transport comments are included. """ if not isinstance(species, Species): raise TypeError("species object must be an RMG Species") @@ -367,12 +390,13 @@ def species_to_dict(species, all_species=None): cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species) species_data = cantera_species.input_data - try: - transport_comment = species.transport_data.comment - if transport_comment: - species_data["transport"]["note"] = transport_comment - except AttributeError: - pass + if verbose: + try: + transport_comment = species.transport_data.comment + if transport_comment: + species_data["transport"]["note"] = transport_comment + except AttributeError: + pass if "size" in species_data: sites = species_data["size"] @@ -382,7 +406,20 @@ def species_to_dict(species, all_species=None): # Convert any AnyMap objects to regular dicts before returning species_data = _convert_anymap_to_dict(species_data) - # returns composition, name, thermo, and transport, and note + if verbose: + try: + smiles = species.to_smiles() + if smiles: + species_data["note"] = smiles + except Exception: + pass + if species.thermo and species.thermo.comment: + clean_comment = species.thermo.comment.replace('\n', '; ').strip() + if clean_comment: + if "thermo" in species_data and isinstance(species_data["thermo"], dict): + species_data["thermo"]["note"] = clean_comment + + # returns composition, name, thermo, and transport, and note return species_data @@ -417,8 +454,9 @@ def __init__(self, output_directory=""): def update(self, rmg): + num_species = len(rmg.reaction_model.core.species) this_output_path = os.path.join(self.output_subdirectory, - f"chem{len(rmg.reaction_model.core.species):04d}.yaml") + f"chem{num_species:04d}.yaml") latest_output_path = os.path.join(self.output_subdirectory, 'chem.yaml') logging.info(f"Saving current model core to Cantera file: {this_output_path}") @@ -437,7 +475,19 @@ def update(self, rmg): surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, - path=this_output_path + path=this_output_path, ) - # Update the latest output path shutil.copy2(this_output_path, latest_output_path) + + if rmg.verbose_comments: + annotated_path = os.path.join(self.output_subdirectory, 'chem_annotated.yaml') + logging.info(f"Saving annotated Cantera file: {annotated_path}") + write_cantera( + rmg.reaction_model.core.species, + rmg.reaction_model.core.reactions, + surface_site_density=surface_site_density, + solvent=rmg.solvent, + solvent_data=solvent_data, + path=annotated_path, + verbose=True, + ) From c8bca8edeb7cfcc04e137b4c179e4744f0d3a140 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 11:30:46 -0400 Subject: [PATCH 473/700] [yaml_cantera2] Add verboseComments support MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When rmg.verbose_comments is True (verboseComments=True in the input file's options block), save_cantera_files now also writes a chem_annotated.yaml (and chem_edge_annotated.yaml when saveEdgeSpecies is also True) with species SMILES, thermo and transport comments, and per-reaction source (template/library/PDep) and kinetics comments. The regular chem.yaml no longer contains any note fields — previously they were always written — making the non-annotated output cleaner. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera2.py | 101 +++++++++++++++++++++++++---------------- 1 file changed, 62 insertions(+), 39 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 701400ae57c..dfaf4c8d511 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -91,6 +91,7 @@ def save_cantera_files(rmg): Creates: 1. chem{N}.yaml (where N is num species) 2. chem.yaml (latest copy) + 3. chem_annotated.yaml (if rmg.verbose_comments is True) """ # Ensure subdirectory exists cantera_dir = os.path.join(rmg.output_directory, 'cantera2') @@ -114,14 +115,22 @@ def save_cantera_files(rmg): logging.info(f"Saving current model core to Cantera file: {this_cantera_path}") - # Write the YAML file - save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density) + # Write the YAML file (non-verbose) + save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density, + verbose=False) # Copy to 'chem.yaml' (The latest file) if os.path.exists(latest_cantera_path): os.unlink(latest_cantera_path) shutil.copy2(this_cantera_path, latest_cantera_path) + # Write annotated file if verbose_comments is requested + if rmg.verbose_comments: + annotated_path = os.path.join(cantera_dir, 'chem_annotated.yaml') + logging.info(f"Saving annotated Cantera file: {annotated_path}") + save_cantera_model(rmg.reaction_model.core, annotated_path, site_density=site_density, + verbose=True) + # ------------------------------------------------------------------------- # 2. Save Edge Model (Optional, matching ChemkinWriter logic) # ------------------------------------------------------------------------- @@ -143,17 +152,25 @@ def __init__(self, species, reactions): rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions ) - save_cantera_model(edge_model, this_edge_path, site_density=site_density) + save_cantera_model(edge_model, this_edge_path, site_density=site_density, verbose=False) if os.path.exists(latest_edge_path): os.unlink(latest_edge_path) shutil.copy2(this_edge_path, latest_edge_path) + if rmg.verbose_comments: + annotated_edge_path = os.path.join(cantera_dir, 'chem_edge_annotated.yaml') + logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") + save_cantera_model(edge_model, annotated_edge_path, site_density=site_density, + verbose=True) + -def save_cantera_model(model_container, path, site_density=None): +def save_cantera_model(model_container, path, site_density=None, verbose=False): """ Internal helper to generate the dictionary and write the YAML file. model_container must have .species and .reactions attributes (lists). + If verbose=True, species/reaction notes (SMILES, source, kinetics + comments) are included in the output. """ species_list = model_container.species reaction_list = model_container.reactions @@ -165,7 +182,8 @@ def save_cantera_model(model_container, path, site_density=None): break # Generate Data - yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma, site_density=site_density) + yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma, + site_density=site_density, verbose=verbose) # Write with open(path, 'w') as f: @@ -178,9 +196,11 @@ def generate_cantera_data(species_list, is_plasma=False, site_density=None, search_for_additional_elements=False, + verbose=False, ): """ Converts RMG objects into a dictionary structure compatible with Cantera YAML. + If verbose=True, species/reaction notes are included (SMILES, source, kinetics comments). """ # --- 1. Header & Units --- # We output everything in SI units. @@ -286,16 +306,16 @@ def generate_cantera_data(species_list, species_data = list() for sp in species_list: - species_data.append(species_to_dict(sp, species_list)) + species_data.append(species_to_dict(sp, species_list, verbose=verbose)) data['species'] = species_data reaction_data = list() for rxn in gas_reactions: - entries = reaction_to_dict_list(rxn, species_list) + entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) if entries: reaction_data.extend(entries) for rxn in surface_reactions: - entries = reaction_to_dict_list(rxn, species_list) + entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) if entries: reaction_data.extend(entries) data['reactions'] = reaction_data @@ -303,14 +323,17 @@ def generate_cantera_data(species_list, return data -def species_to_dict(species, species_list): - """Convert an RMG Species object to a Cantera YAML dictionary.""" +def species_to_dict(species, species_list, verbose=False): + """Convert an RMG Species object to a Cantera YAML dictionary. + If verbose=True, species notes (SMILES, thermo/transport comments) are included. + """ notes = list() - try: - notes.append(species.to_smiles()) - except: - pass + if verbose: + try: + notes.append(species.to_smiles()) + except: + pass # Composition mol = species.molecule[0] @@ -369,11 +392,11 @@ def species_to_dict(species, species_list): transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: transport_dict['rotational-relaxation'] = td.rotrelaxcollnum - if td.comment: + if verbose and td.comment: transport_dict['note'] = td.comment.strip() species_entry['transport'] = transport_dict - if species.thermo and species.thermo.comment: + if verbose and species.thermo and species.thermo.comment: clean_comment = species.thermo.comment.replace('\n', '; ').strip() species_entry['thermo']['note'] = clean_comment @@ -404,9 +427,10 @@ def species_to_dict(species, species_list): return species_entry -def reaction_to_dict_list(reaction, species_list=None): +def reaction_to_dict_list(reaction, species_list=None, verbose=False): """ Convert an RMG Reaction object to a LIST of Cantera YAML dictionaries. + If verbose=True, a 'note' field is added with source and kinetics comment. """ # Check for MultiKinetics (duplicates grouped in one RMG object) if isinstance(reaction.kinetics, (MultiArrhenius, MultiPDepArrhenius)): @@ -421,7 +445,7 @@ def reaction_to_dict_list(reaction, species_list=None): kinetics=sub_kin, duplicate=True ) - sub_result = reaction_to_dict_list(sub_rxn, species_list) + sub_result = reaction_to_dict_list(sub_rxn, species_list, verbose=verbose) if sub_result: entries.extend(sub_result) return entries @@ -540,27 +564,26 @@ def reaction_to_dict_list(reaction, species_list=None): if cov_deps: entry['coverage-dependencies'] = cov_deps - # --- Metadata / Notes --- - note_parts = list() - if isinstance(reaction, TemplateReaction): - note_parts.append(f"Source: Template family {reaction.family}") - elif isinstance(reaction, LibraryReaction): - note_parts.append(f"Source: Library {reaction.library}") - elif isinstance(reaction, PDepReaction): - note_parts.append(f"Source: PDep Network #{reaction.network.index}") - elif isinstance(reaction, Reaction): - note_parts.append(f"Source: P{reaction.kinetics.comment}") - - if hasattr(kin, 'comment') and kin.comment: - clean_comment = kin.comment.replace('\n', '; ').strip() - if clean_comment: - note_parts.append(clean_comment) - - if reaction.specific_collider: - note_parts.append(f"Specific collider: {reaction.specific_collider.label}") - - if note_parts: - entry['note'] = " | ".join(note_parts) + # --- Metadata / Notes (only when verbose) --- + if verbose: + note_parts = list() + if isinstance(reaction, TemplateReaction): + note_parts.append(f"Source: Template family {reaction.family}") + elif isinstance(reaction, LibraryReaction): + note_parts.append(f"Source: Library {reaction.library}") + elif isinstance(reaction, PDepReaction): + note_parts.append(f"Source: PDep Network #{reaction.network.index}") + + if hasattr(kin, 'comment') and kin.comment: + clean_comment = kin.comment.replace('\n', '; ').strip() + if clean_comment: + note_parts.append(clean_comment) + + if reaction.specific_collider: + note_parts.append(f"Specific collider: {reaction.specific_collider.label}") + + if note_parts: + entry['note'] = " | ".join(note_parts) return [entry] From 3ddf22d34e579722f5f3961a4f015b4da26cf318 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 11:32:03 -0400 Subject: [PATCH 474/700] [yaml_cantera1] Add saveEdgeSpecies support When rmg.save_edge_species is True (saveEdgeSpecies=True in the input file's options block), CanteraWriter1 now also writes chem_edge{N}.yaml / chem_edge.yaml containing all core + edge species and reactions. When rmg.verbose_comments is also True a chem_edge_annotated.yaml with full notes is written too, mirroring the behaviour of ChemkinWriter and CanteraWriter2. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera1.py | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 18428b4a5e0..dce70c18291 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -491,3 +491,36 @@ def update(self, rmg): path=annotated_path, verbose=True, ) + + if rmg.save_edge_species: + logging.info('Saving current model core and edge to Cantera file...') + edge_species = rmg.reaction_model.core.species + rmg.reaction_model.edge.species + edge_reactions = rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions + + this_edge_path = os.path.join(self.output_subdirectory, + f"chem_edge{num_species:04d}.yaml") + latest_edge_path = os.path.join(self.output_subdirectory, 'chem_edge.yaml') + + write_cantera( + edge_species, + edge_reactions, + surface_site_density=surface_site_density, + solvent=rmg.solvent, + solvent_data=solvent_data, + path=this_edge_path, + ) + shutil.copy2(this_edge_path, latest_edge_path) + + if rmg.verbose_comments: + annotated_edge_path = os.path.join(self.output_subdirectory, + 'chem_edge_annotated.yaml') + logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") + write_cantera( + edge_species, + edge_reactions, + surface_site_density=surface_site_density, + solvent=rmg.solvent, + solvent_data=solvent_data, + path=annotated_edge_path, + verbose=True, + ) From d539f8f8fc210e60cac4561c422957eb97e286b1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 16:57:35 -0400 Subject: [PATCH 475/700] [yaml_cantera2] cov_params is a dict with keys not a structure with attributes. Co-Authored-By: Danielle Lucey --- rmgpy/yaml_cantera2.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index dfaf4c8d511..d4784402cb9 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -557,9 +557,9 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): if sp_label: # Cantera YAML expects { a: ..., m: ..., E: ... } cov_deps[sp_label] = { - 'a': cov_params.a.value_si, - 'm': cov_params.m.value_si, - 'E': cov_params.E.value_si + 'a': cov_params['a'].value_si, + 'm': cov_params['m'].value_si, + 'E': cov_params['E'].value_si } if cov_deps: entry['coverage-dependencies'] = cov_deps From 8da2b3582ba7871e889d86decea942b28621b945 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 16:58:37 -0400 Subject: [PATCH 476/700] [yaml_cantera1] Add coverage dependent kinetics. Unfortunately this method it is not sent through the to_cantera. --- rmgpy/yaml_cantera1.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index dce70c18291..2542a1069fd 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -354,6 +354,20 @@ def reaction_to_dicts(obj, spcs, verbose=False): # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) + # Coverage dependencies are not set by set_cantera_kinetics; add them here. + # Units: E in J/kmol (matching the file-level 'activation-energy: J/kmol'). + if hasattr(obj.kinetics, 'coverage_dependence') and obj.kinetics.coverage_dependence: + cov_deps = {} + for sp, cov_params in obj.kinetics.coverage_dependence.items(): + sp_label = get_species_identifier(sp) + cov_deps[sp_label] = { + 'a': cov_params['a'].value_si, + 'm': cov_params['m'].value_si, + 'E': cov_params['E'].value_si * 1000, # J/mol → J/kmol + } + if cov_deps: + reaction_data['coverage-dependencies'] = cov_deps + if verbose: note_parts = [] if isinstance(obj, TemplateReaction): From 73f8e35e4aed908dac37c68d3452073d1dff770e Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 17:02:18 -0400 Subject: [PATCH 477/700] [yaml_cantera1] Move the coverage-dependence code into to_cantera This way it benefits other callers of to_cantera, not just the yaml writer. --- rmgpy/reaction.py | 13 +++++++++++++ rmgpy/yaml_cantera1.py | 14 -------------- 2 files changed, 13 insertions(+), 14 deletions(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 477e29cc965..63e1d278f1d 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -425,6 +425,19 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False): # Now we set the kinetics. self.kinetics.set_cantera_kinetics(ct_reaction, species_list) + # Coverage dependencies are not handled by set_cantera_kinetics; set them here. + # Cantera's coverage_dependencies E is in J/kmol; RMG's value_si is J/mol. + if hasattr(self.kinetics, 'coverage_dependence') and self.kinetics.coverage_dependence: + cov_deps = {} + for sp, params in self.kinetics.coverage_dependence.items(): + sp_label = sp.to_chemkin() if use_chemkin_identifier else sp.label + cov_deps[sp_label] = { + 'a': params['a'].value_si, + 'm': params['m'].value_si, + 'E': params['E'].value_si * 1000, # J/mol → J/kmol + } + ct_reaction.rate.coverage_dependencies = cov_deps + return ct_reaction def get_url(self): diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 2542a1069fd..dce70c18291 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -354,20 +354,6 @@ def reaction_to_dicts(obj, spcs, verbose=False): # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) - # Coverage dependencies are not set by set_cantera_kinetics; add them here. - # Units: E in J/kmol (matching the file-level 'activation-energy: J/kmol'). - if hasattr(obj.kinetics, 'coverage_dependence') and obj.kinetics.coverage_dependence: - cov_deps = {} - for sp, cov_params in obj.kinetics.coverage_dependence.items(): - sp_label = get_species_identifier(sp) - cov_deps[sp_label] = { - 'a': cov_params['a'].value_si, - 'm': cov_params['m'].value_si, - 'E': cov_params['E'].value_si * 1000, # J/mol → J/kmol - } - if cov_deps: - reaction_data['coverage-dependencies'] = cov_deps - if verbose: note_parts = [] if isinstance(obj, TemplateReaction): From c69f3573ce51df249a28ea417709529c30db6324 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 17:26:02 -0400 Subject: [PATCH 478/700] Fixes to coverage-dependent kinetics. [requires rebuild of cython] Danielle reported this: Traceback (most recent call last): File "/Users/daniellelucey/RMG-Py/rmg.py", line 4, in __main__.main() File "/Users/daniellelucey/RMG-Py/rmgpy/__main__.py", line 102, in main rmg.execute(**kwargs) File "/Users/daniellelucey/RMG-Py/rmgpy/rmg/main.py", line 1014, in execute terminated, resurrected, obj, new_surface_species, new_surface_reactions, t, x = reaction_system.simulate( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "rmgpy/solver/base.pyx", line 572, in rmgpy.solver.base.ReactionSystem.simulate cpdef simulate(self, list core_species, list core_reactions, list edge_species, File "rmgpy/solver/base.pyx", line 669, in rmgpy.solver.base.ReactionSystem.simulate self.initialize_model(core_species, core_reactions, File "rmgpy/solver/surface.pyx", line 268, in rmgpy.solver.surface.SurfaceReactor.initialize_model ReactionSystem.set_initial_derivative(self) File "rmgpy/solver/base.pyx", line 475, in rmgpy.solver.base.ReactionSystem.set_initial_derivative self.dydt0 = - self.residual(self.t0, self.y0, np.zeros(self.neq, float), self.senpar)[0] File "rmgpy/solver/surface.pyx", line 516, in rmgpy.solver.surface.SurfaceReactor.residual surface_site_fraction ** m *\ TypeError: Cannot convert 'complex' with non-zero imaginary component to 'double' (this most likely comes from the '**' operator; use 'cython.cpow(True)' to return 'nan' instead of a complex number). I'm not sure why it occurred (a negative coverage? a NaN coverage?) But this might help. Forces all coverages to be >0 And doesn't bother calculating if <1e-6 (previously 1e-15) I suppose if total_sites is 0, you could still get a NaN, but...? --- rmgpy/solver/surface.pyx | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index e19cd3bbb4a..a9e0cd22b49 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -36,7 +36,7 @@ import logging cimport cython import numpy as np cimport numpy as np -from libc.math cimport exp +from libc.math cimport exp, pow import rmgpy.constants as constants cimport rmgpy.constants as constants @@ -478,9 +478,11 @@ cdef class SurfaceReactor(ReactionSystem): #: surface species are in mol/m2, gas phase are in mol/m3 core_species_concentrations[j] = C[j] + if self.thermo_coverage_dependence or self.coverage_dependence: + coverages = np.where(species_on_surface, np.maximum(N / total_sites, 0.0), 0.0) + # Thermodynamic coverage dependence if self.thermo_coverage_dependence: - coverages = np.where(species_on_surface, N / total_sites, 0.0) coverages_squared = coverages * coverages temperature_scaled_coverages = -self.T.value_si * coverages thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) @@ -508,12 +510,12 @@ cdef class SurfaceReactor(ReactionSystem): """ for i, list_of_coverage_deps in self.coverage_dependencies.items(): # Species i, Reaction j - surface_site_fraction = N[i] / total_sites - if surface_site_fraction < 1e-15: + surface_site_fraction = coverages[i] + if surface_site_fraction <= 1e-6: continue for j, a, m, E in list_of_coverage_deps: coverage_corrections[j] *= 10. ** (a * surface_site_fraction) *\ - surface_site_fraction ** m *\ + pow(surface_site_fraction, m) *\ exp(-1 * E * surface_site_fraction / (constants.R * self.T.value_si)) kf = kf * coverage_corrections # make a corrected copy kf, but leave the original array at self.kf unchanged kr = kr * coverage_corrections From c0a88a2990d6133400a741abfbab04875d911612 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 17:34:47 -0400 Subject: [PATCH 479/700] [yaml_cantera1] Add unit tests for species_to_dict and reaction_to_dicts Covers: gas/surface species thermo & transport, Arrhenius, ThirdBody, PDepArrhenius, Troe, SurfaceArrhenius, StickingCoefficient, and coverage-dependent kinetics (verifying J/kmol unit conversion). Co-Authored-By: Claude Sonnet 4.6 --- test/rmgpy/yaml_cantera1Test.py | 254 ++++++++++++++++++++++++++++++++ 1 file changed, 254 insertions(+) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 401da7a2a7b..3819aeeeb24 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -34,13 +34,267 @@ import copy import os import pytest +import numpy as np import yaml +from rmgpy.species import Species +from rmgpy.reaction import Reaction +from rmgpy.thermo import NASA, NASAPolynomial +from rmgpy.transport import TransportData +from rmgpy.kinetics import ( + Arrhenius, + PDepArrhenius, + Troe, + ThirdBody, +) +from rmgpy.kinetics.surface import SurfaceArrhenius, StickingCoefficient from rmgpy.yaml_cantera1 import ( CanteraWriter1, + species_to_dict, + reaction_to_dicts, ) +def _make_nasa_thermo(): + coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0] + return NASA( + polynomials=[ + NASAPolynomial(coeffs=coeffs, Tmin=(200, "K"), Tmax=(1000, "K")), + NASAPolynomial(coeffs=coeffs, Tmin=(1000, "K"), Tmax=(6000, "K")), + ], + Tmin=(200, "K"), + Tmax=(6000, "K"), + ) + + +def _make_gas_species(label, smiles, index): + sp = Species(label=label, index=index) + sp.from_smiles(smiles) + sp.thermo = _make_nasa_thermo() + sp.transport_data = TransportData( + shapeIndex=1, + sigma=(3.0, "angstrom"), + epsilon=(100.0, "K"), + dipoleMoment=(0.0, "De"), + polarizability=(0.0, "angstrom^3"), + rotrelaxcollnum=1.0, + ) + return sp + + +def _make_surface_species(label, adjlist, index): + sp = Species(label=label, index=index) + sp.from_adjacency_list(adjlist) + sp.thermo = _make_nasa_thermo() + return sp + + +class TestYamlCantera1Functions: + """Unit tests for the individual helper functions in yaml_cantera1.""" + + # ------------------------------------------------------------------ + # Shared fixtures + # ------------------------------------------------------------------ + @pytest.fixture(autouse=True) + def _build_species(self): + self.h2 = _make_gas_species("H2", "[H][H]", index=1) + self.h = _make_gas_species("H", "[H]", index=2) + self.ar = _make_gas_species("Ar", "[Ar]", index=3) + self.x = _make_surface_species("X", "1 X u0 p0", index=4) + self.hx = _make_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=5 + ) + self.all_gas = [self.h2, self.h, self.ar] + self.all_surface = [self.x, self.hx, self.h2] + + # ------------------------------------------------------------------ + # species_to_dict + # ------------------------------------------------------------------ + def test_species_to_dict_gas_name_and_thermo(self): + """Gas species: correct name, NASA7 thermo with two polynomial ranges.""" + d = species_to_dict(self.h2) + assert d["name"] == "H2(1)" + assert d["composition"] == {"H": 2.0} + assert d["thermo"]["model"] == "NASA7" + assert len(d["thermo"]["temperature-ranges"]) == 3 # low, mid, high + assert len(d["thermo"]["data"]) == 2 + + def test_species_to_dict_gas_transport(self): + """Gas species transport data is present and contains geometry.""" + d = species_to_dict(self.h2) + assert "transport" in d + assert d["transport"]["model"] == "gas" + assert d["transport"]["geometry"] == "linear" + assert np.isclose(d["transport"]["diameter"], 3.0) + assert np.isclose(d["transport"]["well-depth"], 100.0) + + def test_species_to_dict_surface_composition(self): + """Surface species has X in composition and no transport block.""" + d = species_to_dict(self.hx) + assert "X" in d["composition"] + assert d["composition"]["X"] == 1.0 + assert "H" in d["composition"] + assert "transport" not in d + + def test_species_to_dict_surface_thermo_model(self): + """Surface species reports NASA7 thermo.""" + d = species_to_dict(self.x) + assert d["thermo"]["model"] == "NASA7" + + # ------------------------------------------------------------------ + # reaction_to_dicts — gas-phase kinetics + # Units declared in yaml_cantera1: activation-energy: J/kmol, + # so all Ea values come through multiplied by 1000 relative to J/mol. + # ------------------------------------------------------------------ + def test_reaction_to_dicts_arrhenius_equation_and_rate(self): + """Arrhenius: equation string and rate-constant keys present with J/kmol Ea.""" + kin = Arrhenius(A=(1e13, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K")) + rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin) + entries = reaction_to_dicts(rxn, self.all_gas) + assert len(entries) == 1 + d = entries[0] + assert d["equation"] == "H2(1) <=> 2 H(2)" + assert "rate-constant" in d + assert np.isclose(d["rate-constant"]["A"], 1e13) + assert np.isclose(d["rate-constant"]["b"], 0.5) + assert np.isclose(d["rate-constant"]["Ea"], 10e6) # 10 kJ/mol → 1e7 J/kmol + + def test_reaction_to_dicts_thirdbody(self): + """ThirdBody: equation uses M, efficiencies map present.""" + kin = ThirdBody( + arrheniusLow=Arrhenius( + A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K") + ), + efficiencies={self.ar.molecule[0]: 0.7}, + ) + rxn = Reaction( + reactants=[self.h, self.h], products=[self.h2], kinetics=kin + ) + entries = reaction_to_dicts(rxn, self.all_gas) + d = entries[0] + assert "M" in d["equation"] + assert "rate-constant" in d + assert "efficiencies" in d + assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7) + + def test_reaction_to_dicts_pdep_arrhenius(self): + """PDepArrhenius: type is pressure-dependent-Arrhenius, rate-constants list.""" + kin = PDepArrhenius( + pressures=([0.1, 1.0], "atm"), + arrhenius=[ + Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")), + Arrhenius(A=(1e12, "s^-1"), n=0, Ea=(15, "kJ/mol"), T0=(1, "K")), + ], + ) + rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin) + entries = reaction_to_dicts(rxn, self.all_gas) + d = entries[0] + assert d["type"] == "pressure-dependent-Arrhenius" + rates = d["rate-constants"] + assert len(rates) == 2 + assert np.isclose(rates[0]["P"], 0.1 * 101325.0) + assert np.isclose(rates[0]["A"], 1e10) + assert np.isclose(rates[0]["Ea"], 10e6) # J/kmol + assert np.isclose(rates[1]["P"], 1.0 * 101325.0) + assert np.isclose(rates[1]["A"], 1e12) + assert np.isclose(rates[1]["Ea"], 15e6) # J/kmol + + def test_reaction_to_dicts_troe(self): + """Troe: type falloff, Troe block present, high/low rate constants.""" + kin = Troe( + arrheniusHigh=Arrhenius( + A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K") + ), + arrheniusLow=Arrhenius( + A=(1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K") + ), + alpha=0.5, + T3=(100, "K"), + T1=(200, "K"), + T2=(300, "K"), + efficiencies={self.ar.molecule[0]: 2.0}, + ) + rxn = Reaction(reactants=[self.h], products=[self.h], kinetics=kin) + entries = reaction_to_dicts(rxn, self.all_gas) + d = entries[0] + assert d["type"] == "falloff" + assert "Troe" in d + assert np.isclose(d["Troe"]["A"], 0.5) + assert np.isclose(d["Troe"]["T3"], 100.0) + assert np.isclose(d["Troe"]["T1"], 200.0) + assert np.isclose(d["Troe"]["T2"], 300.0) + assert np.isclose(d["high-P-rate-constant"]["A"], 1e14) + assert np.isclose(d["high-P-rate-constant"]["Ea"], 10e6) # J/kmol + assert "efficiencies" in d + assert np.isclose(d["efficiencies"]["Ar(3)"], 2.0) + + # ------------------------------------------------------------------ + # reaction_to_dicts — surface kinetics + # ------------------------------------------------------------------ + def test_reaction_to_dicts_surface_arrhenius(self): + """SurfaceArrhenius: rate-constant present, A converted to /kmol.""" + kin = SurfaceArrhenius( + A=(1e13, "m^2/(mol*s)"), n=0.5, Ea=(50, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[self.h2, self.x], + products=[self.hx, self.hx], + kinetics=kin, + ) + entries = reaction_to_dicts(rxn, self.all_surface) + d = entries[0] + assert "rate-constant" in d + # A in m^2/(mol*s) → ×1000 → m^2/(kmol*s) + assert np.isclose(d["rate-constant"]["A"], 1e16) + assert np.isclose(d["rate-constant"]["b"], 0.5) + assert np.isclose(d["rate-constant"]["Ea"], 50e6) # J/kmol + + def test_reaction_to_dicts_sticking_coefficient(self): + """StickingCoefficient: sticking-coefficient block present, A dimensionless.""" + kin = StickingCoefficient( + A=(0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[self.h2, self.x, self.x], + products=[self.hx, self.hx], + kinetics=kin, + ) + entries = reaction_to_dicts(rxn, self.all_surface) + d = entries[0] + assert "sticking-coefficient" in d + assert np.isclose(d["sticking-coefficient"]["A"], 0.1) + assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0) + + def test_reaction_to_dicts_coverage_dependence(self): + """Coverage-dependent kinetics: coverage-dependencies block present with correct units. + + yaml_cantera1 declares activation-energy: J/kmol, so E must be ×1000 + relative to RMG's J/mol value_si. + """ + kin = StickingCoefficient( + A=(0.1, ""), + n=0, + Ea=(0, "kJ/mol"), + T0=(1, "K"), + coverage_dependence={ + self.hx: {"a": 0.5, "m": -1.0, "E": (5.0, "kJ/mol")} + }, + ) + rxn = Reaction( + reactants=[self.h2, self.x, self.x], + products=[self.hx, self.hx], + kinetics=kin, + ) + entries = reaction_to_dicts(rxn, self.all_surface) + d = entries[0] + assert "coverage-dependencies" in d + cov = d["coverage-dependencies"]["H_X(5)"] + assert np.isclose(cov["a"], 0.5) + assert np.isclose(cov["m"], -1.0) + # 5 kJ/mol = 5000 J/mol → ×1000 → 5 000 000 J/kmol + assert np.isclose(cov["E"], 5e6) + + class TestCanteraWriter1: """Tests for the CanteraWriter1 class.""" From 0ced9312c6a7006e1c6488339bbdd52a6d1dae69 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 1 May 2026 17:36:04 -0400 Subject: [PATCH 480/700] [yaml_cantera2] Add unit tests for surface species and reactions Covers: surface species thermo/composition (no transport), SurfaceArrhenius, StickingCoefficient, coverage-dependent kinetics (verifying J/mol units), and ThirdBody efficiencies. Co-Authored-By: Claude Sonnet 4.6 --- test/rmgpy/yaml_cantera2Test.py | 137 ++++++++++++++++++++++++++++++++ 1 file changed, 137 insertions(+) diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index e27915f2f5a..b5ff68b018b 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -45,6 +45,7 @@ Lindemann, ThirdBody, ) +from rmgpy.kinetics.surface import SurfaceArrhenius, StickingCoefficient from rmgpy.thermo import NASA, NASAPolynomial from rmgpy.transport import TransportData from rmgpy.yaml_cantera2 import ( @@ -402,3 +403,139 @@ def __init__(self, out_dir, model): self.save_edge_species = False return MockRMG(self.tmp_dir, MockModel(MockCore(species_list, reaction_list))) + + def _create_surface_species(self, label, adjlist, index): + """Helper to create an RMG surface Species with NASA thermo (no transport).""" + sp = Species(label=label, index=index) + sp.from_adjacency_list(adjlist) + coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0] + sp.thermo = NASA( + polynomials=[ + NASAPolynomial(coeffs=coeffs, Tmin=(200, "K"), Tmax=(1000, "K")), + NASAPolynomial(coeffs=coeffs, Tmin=(1000, "K"), Tmax=(6000, "K")), + ], + Tmin=(200, "K"), + Tmax=(6000, "K"), + ) + return sp + + # ------------------------------------------------------------------ + # Surface species + # ------------------------------------------------------------------ + def test_species_to_dict_surface_no_transport(self): + """Surface species: composition contains X, no transport block.""" + sp = self._create_surface_species( + "X", "1 X u0 p0", index=10 + ) + d = species_to_dict(sp, [sp]) + assert "X" in d["composition"] + assert "transport" not in d + + def test_species_to_dict_surface_thermo(self): + """Surface species reports NASA7 thermo with two polynomial ranges.""" + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=11 + ) + d = species_to_dict(hx, [hx]) + assert d["thermo"]["model"] == "NASA7" + assert len(d["thermo"]["data"]) == 2 + assert d["composition"] == {"H": 1, "X": 1} + + # ------------------------------------------------------------------ + # Surface reactions + # yaml_cantera2 declares activation-energy: J/mol, so value_si is used + # directly without any ×1000 conversion. + # ------------------------------------------------------------------ + def test_reaction_to_dict_surface_arrhenius(self): + """SurfaceArrhenius: type is interface-Arrhenius, rate-constant in J/mol.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + x = self._create_surface_species("X", "1 X u0 p0", index=2) + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3 + ) + kin = SurfaceArrhenius( + A=(1e13, "m^2/(mol*s)"), n=0.5, Ea=(50, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[h2, x], products=[hx, hx], kinetics=kin + ) + entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx]) + assert len(entries) == 1 + d = entries[0] + assert d["type"] == "interface-Arrhenius" + assert "rate-constant" in d + assert np.isclose(d["rate-constant"]["A"], 1e13) + assert np.isclose(d["rate-constant"]["b"], 0.5) + assert np.isclose(d["rate-constant"]["Ea"], 50000.0) # J/mol + + def test_reaction_to_dict_sticking_coefficient(self): + """StickingCoefficient: type is sticking-Arrhenius, A is dimensionless.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + x = self._create_surface_species("X", "1 X u0 p0", index=2) + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3 + ) + kin = StickingCoefficient( + A=(0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[h2, x, x], products=[hx, hx], kinetics=kin + ) + entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx]) + assert len(entries) == 1 + d = entries[0] + assert d["type"] == "sticking-Arrhenius" + assert "sticking-coefficient" in d + assert np.isclose(d["sticking-coefficient"]["A"], 0.1) + assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0) + + def test_reaction_to_dict_coverage_dependence(self): + """Coverage-dependent kinetics: coverage-dependencies block written correctly. + + yaml_cantera2 declares activation-energy: J/mol, so E uses value_si + (J/mol) directly — no ×1000 conversion. + """ + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + x = self._create_surface_species("X", "1 X u0 p0", index=2) + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3 + ) + kin = StickingCoefficient( + A=(0.1, ""), + n=0, + Ea=(0, "kJ/mol"), + T0=(1, "K"), + coverage_dependence={ + hx: {"a": 0.5, "m": -1.0, "E": (5.0, "kJ/mol")} + }, + ) + rxn = Reaction( + reactants=[h2, x, x], products=[hx, hx], kinetics=kin + ) + entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx]) + d = entries[0] + assert "coverage-dependencies" in d + cov = d["coverage-dependencies"]["H_X(3)"] + assert np.isclose(cov["a"], 0.5) + assert np.isclose(cov["m"], -1.0) + # 5 kJ/mol = 5000 J/mol — written directly (J/mol units declared) + assert np.isclose(cov["E"], 5000.0) + + def test_reaction_to_dict_thirdbody_unit(self): + """ThirdBody: type three-body, efficiencies map, rate-constant present.""" + h = self._create_dummy_species("H", "[H]", index=1) + h2 = self._create_dummy_species("H2", "[H][H]", index=2) + ar = self._create_dummy_species("Ar", "[Ar]", index=3) + kin = ThirdBody( + arrheniusLow=Arrhenius( + A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K") + ), + efficiencies={ar.molecule[0]: 0.7}, + ) + rxn = Reaction(reactants=[h, h], products=[h2], kinetics=kin) + entries = reaction_to_dict_list(rxn, species_list=[h, h2, ar]) + d = entries[0] + assert d.get("type") == "three-body" + assert "rate-constant" in d + assert "efficiencies" in d + assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7) From c568049f30daa3bdd2835cf9764866d00ac07a78 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 2 May 2026 16:50:35 -0400 Subject: [PATCH 481/700] Use CDumper (C-accelerated) in both Cantera YAML writers for faster output Falls back to pure-Python Dumper if libyaml is not available. Also passes sort_keys=False where it was missing (yaml_cantera2). Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera1.py | 6 +++++- rmgpy/yaml_cantera2.py | 6 +++++- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index dce70c18291..5a1461f8e19 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -35,6 +35,10 @@ import os import shutil +try: + from yaml import CDumper as Dumper +except ImportError: + from yaml import Dumper import yaml import logging @@ -148,7 +152,7 @@ def write_cantera( f.write(ELEMENTS_BLOCK) - yaml.dump(result_dict, stream=f, sort_keys=False, default_flow_style=None, width=80) + yaml.dump(result_dict, stream=f, Dumper=Dumper, sort_keys=False, default_flow_style=None, width=80) def get_elements_block(): """ diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index d4784402cb9..1155f001dd4 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -34,6 +34,10 @@ import os import shutil import logging +try: + from yaml import CDumper as Dumper +except ImportError: + from yaml import Dumper import yaml from rmgpy.data.kinetics.family import TemplateReaction @@ -188,7 +192,7 @@ def save_cantera_model(model_container, path, site_density=None, verbose=False): # Write with open(path, 'w') as f: # sort_keys=False ensures 'units' comes first, then 'phases', etc. - yaml.dump(yaml_data, f, sort_keys=False, default_flow_style=None) + yaml.dump(yaml_data, f, Dumper=Dumper, sort_keys=False, default_flow_style=None) def generate_cantera_data(species_list, From 4d3b2b61bde1f9bc681e2be3aa0efa2f2bd1b699 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 2 May 2026 16:50:48 -0400 Subject: [PATCH 482/700] Use CDumper (C-accelerated) in RMS YAML writer for faster output Falls back to pure-Python Dumper if libyaml is not available. Also adds sort_keys=False to avoid unnecessary alphabetical reordering. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_rms.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_rms.py b/rmgpy/yaml_rms.py index fd8d73fae24..8bc0df39d06 100644 --- a/rmgpy/yaml_rms.py +++ b/rmgpy/yaml_rms.py @@ -33,6 +33,10 @@ """ import os +try: + from yaml import CDumper as Dumper +except ImportError: + from yaml import Dumper import yaml import logging @@ -60,7 +64,7 @@ def convert_chemkin_to_rms(chemkin_path, dictionary_path=None, output="chem.rms" def write_rms(spcs, rxns, solvent=None, solvent_data=None, path="chem.rms"): result_dict = get_mech_dict(spcs, rxns, solvent=solvent, solvent_data=solvent_data) with open(path, 'w') as f: - yaml.dump(result_dict, stream=f) + yaml.dump(result_dict, stream=f, Dumper=Dumper, sort_keys=False) def get_mech_dict(spcs, rxns, solvent='solvent', solvent_data=None): From 3237e3bf7ccb3fbd40b0a8a9a61897af23155396 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 14:51:23 -0400 Subject: [PATCH 483/700] Remove outdated Cantera files from testing directory. These are not being maintained. Skip the tests that used them. --- .../yaml_writer_data/cantera1/chem37.yaml | 1064 ------- .../yaml_writer_data/cantera1/chem47.yaml | 2778 ----------------- .../chemkin/chem0047-gas.yaml | 1117 ------- .../yaml_writer_data/chemkin/chem37.yaml | 1220 -------- .../chemkin/chem37_annotated.yaml | 2148 ------------- test/rmgpy/yaml_cantera1Test.py | 4 +- 6 files changed, 2 insertions(+), 8329 deletions(-) delete mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml deleted file mode 100644 index fb51b83acd2..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/cantera1/chem37.yaml +++ /dev/null @@ -1,1064 +0,0 @@ -generator: RMG -date: Thu, 12 Feb 2026 17:20:54 - -units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} - - -phases: -- name: gas - thermo: ideal-gas - elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: D - atomic-weight: 2.014102 -- symbol: T - atomic-weight: 3.016049 -- symbol: CI - atomic-weight: 13.003354 -- symbol: OI - atomic-weight: 17.999159 -- symbol: X - atomic-weight: 195.083 - -species: -- name: ethane(1) - composition: {C: 2.0, H: 6.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 954.5144031334647, 5000.0] - data: - - [3.7803346224806567, -0.0032426248016814156, 5.5238039667703986e-05, -6.38580941600652e-08, - 2.2863696561761182e-11, -11620.34087553736, 5.21033694605818] - - [4.589833066591745, 0.014150771489133034, -4.759620028277478e-06, 8.602939168659721e-10, - -6.217163483041157e-14, -12721.766252833615, -3.617401162808474] - transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: O(2) - composition: {O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 4879.79935843716, 5000.0] - data: - - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, - 1.8662647138106804e-22, 29230.244128498045, 5.126164270441565] - - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, - 3.0792155132960395e-15, 27479.11867419105, -6.321993547101339] - transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: H2(3) - composition: {H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1959.0698277085164, 5000.0] - data: - - [3.4353639329701426, 0.00021271195316551332, -2.7862867098587985e-07, 3.4027001259222403e-10, - -7.760390451747151e-14, -1031.359829839998, -3.908416612979825] - - [2.7881850902828478, 0.0005876159208336712, 1.590221304411447e-07, -5.5276253610419804e-11, - 4.3432812009578456e-15, -596.1556324770212, 0.11261849412712331] - transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, - polarizability: 0.7900000000000005, rotational-relaxation: 280.0, note: GRI-Mech} -- name: H(4) - composition: {H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 4879.79935843716, 5000.0] - data: - - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, - 1.8662647138106804e-22, 25474.21776867628, -0.44497289858131656] - - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, - 3.0792155132960395e-15, 23723.092314369285, -11.893130716124219] - transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215, - note: GRI-Mech} -- name: OH(5) - composition: {H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1145.755403079624, 5000.0] - data: - - [3.5145683934001286, 2.9273429188357182e-05, -5.321505975500024e-07, 1.0194752070317098e-09, - -3.859394051948587e-13, 3414.2541816360504, 2.104347562369628] - - [3.0719372419934894, 0.0006040198392479647, -1.398059297509044e-08, -2.13440813121432e-11, - 2.480613665472284e-15, 3579.3879210270147, 4.578014689142749] - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: HO2(6) - composition: {H: 1.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 932.1532512001958, 5000.0] - data: - - [4.045944875829953, -0.0017346477878945202, 1.0376651826495081e-05, -1.0220252214615669e-08, - 3.3490858128922264e-12, -986.7542445427946, 4.635812941726547] - - [3.2102385692345945, 0.0036794199100510217, -1.2770157188058695e-06, 2.1804525899094575e-10, - -1.46337934635495e-14, -910.3684968001094, 8.182918800803932] - transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: O2(7) - composition: {O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1074.5521361789392, 5000.0] - data: - - [3.537322428075094, -0.001215716474485827, 5.316202537894624e-06, -4.894464339332577e-09, - 1.4584625824988387e-12, -1038.5884879849852, 4.6836818274255805] - - [3.153820808116162, 0.001678043706296639, -7.699742361853628e-07, 1.5127546212659464e-10, - -1.0878241391465713e-14, -1040.8172823427822, 6.167558317035532] - transport: {model: gas, geometry: linear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} -- name: H2O2(8) - composition: {H: 2.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 908.8684310710266, 5000.0] - data: - - [3.7313606074110663, 0.003350677143271547, 9.35045148633553e-06, -1.5210130774428238e-08, - 6.41593098227978e-12, -17721.17092257352, 5.459099197601417] - - [5.415780648162937, 0.00261009267786374, -4.39898682777635e-07, 4.911036132933848e-11, - -3.352020763906896e-15, -18302.949715286108, -4.0224457446790165] - transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 3.8, note: GRI-Mech} -- name: CH(9) - composition: {C: 1.0, H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 926.5085439203854, 5000.0] - data: - - [4.114892273585301, -0.00036116143958226667, -6.346991343158507e-06, 1.0588285015813845e-08, - -4.5703432807545634e-12, 75083.85500259689, 1.6126647739309432] - - [2.3397062812226777, 0.0017586263783017052, -8.029429586931264e-07, 1.4046368662396407e-10, - -8.475489693201224e-15, 75650.76178854634, 11.325593126583742] - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: CO(10) - composition: {C: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1571.6354049877452, 5000.0] - data: - - [3.568380055982004, -0.0008521263402336211, 2.4891798891593604e-06, -1.5633122645097502e-09, - 3.135958522080883e-13, -14284.254942618061, 3.579121509613098] - - [2.9130623895850025, 0.0016465845638618018, -6.886182100781054e-07, 1.2103808090664696e-10, - -7.840235626849002e-15, -14180.882289201463, 6.710482560882116] - transport: {model: gas, geometry: linear, diameter: 3.6500000000000004, well-depth: 98.10027624123336, - polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} -- name: CH2(11) - composition: {C: 1.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1104.6128503352172, 5000.0] - data: - - [4.011923849724262, -0.00015497847580878422, 3.2629776291924734e-06, -2.404217705414533e-09, - 5.69496611389829e-13, 45867.68022129885, 0.5332005986734291] - - [3.149833757942214, 0.0029667427819629355, -9.760559563544758e-07, 1.5411530652523485e-10, - -9.503383428759635e-15, 46058.13907773092, 4.778077271974439] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: HCO(12) - composition: {C: 1.0, H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1565.710769814448, 5000.0] - data: - - [4.356025045126686, -0.003470918444335241, 1.256654231917654e-05, -9.995007073537849e-09, - 2.27892189587309e-12, 3995.7702996929706, 2.7511090101863274] - - [4.618500712117856, 0.005044801124538438, -4.392527572410329e-06, 9.733079685032755e-10, - -7.074558293290182e-14, 2787.5927799665187, -2.228626796116413] - transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, - note: GRI-Mech} -- name: CH2(S)(13) - composition: {C: 1.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1442.3734183050428, 5000.0] - data: - - [4.102642374766526, -0.001440670363156292, 5.4506516898649474e-06, -3.5799832495551506e-09, - 7.56181002008421e-13, 50400.57855875044, -0.4117607276871079] - - [2.626501250591716, 0.003947589008801476, -1.4992204676038928e-06, 2.545345972181073e-10, - -1.629522814282525e-14, 50691.73943964913, 6.783633187716576] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: CH3(14) - composition: {C: 1.0, H: 3.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1337.6273973529305, 5000.0] - data: - - [3.9154676147507557, 0.0018415431771402861, 3.487417742251006e-06, -3.327476223794935e-09, - 8.499569335220797e-13, 16285.639372336085, 0.35174147165449815] - - [3.5414574177499976, 0.00476786844100677, -1.8214843098772305e-06, 3.288765982944306e-10, - -2.2254560301941414e-14, 16223.957944002335, 1.660350070273034] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: CH2O(15) - composition: {C: 1.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1402.2805526136196, 5000.0] - data: - - [4.322897204846498, -0.005063284728937348, 2.1515595139387085e-05, -1.7652180675797467e-08, - 4.318163163554022e-12, -14278.95652991198, 2.3924207303721055] - - [3.179926922536179, 0.009556026740837536, -6.273035810535522e-06, 1.3355498062812185e-09, - -9.684138870385007e-14, -15075.214471261344, 4.310905996593398] - transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH4(16) - composition: {C: 1.0, H: 4.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1084.1184988064424, 5000.0] - data: - - [4.205416332329364, -0.0053555861977321725, 2.5112368844591466e-05, -2.137633638251667e-08, - 5.975260270081695e-12, -10161.943352700215, -0.921283217687999] - - [0.9082594301968506, 0.011454096182441033, -4.571744119658087e-06, 8.291930285055165e-10, - -5.663160065769571e-14, -9719.971679939605, 13.993130069236978] - transport: {model: gas, geometry: nonlinear, diameter: 3.746000000000001, well-depth: 141.400440100105, - polarizability: 2.600000000000002, rotational-relaxation: 13.0, note: GRI-Mech} -- name: CO2(17) - composition: {C: 1.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 988.8792165501785, 5000.0] - data: - - [3.2786194655978216, 0.0027414245150382366, 7.161087380779324e-06, -1.0803190155222457e-08, - 4.143018369506411e-12, -48470.31480234436, 5.979336005045452] - - [4.546063969518606, 0.0029191872237090697, -1.15486862947614e-06, 2.2766109912229239e-10, - -1.709161131334096e-14, -48980.346162154165, -1.4325681051130863] - transport: {model: gas, geometry: linear, diameter: 3.763, well-depth: 244.00106224424113, - polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} -- name: CH2OH(18) - composition: {C: 1.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 895.0204345818915, 5000.0] - data: - - [3.7117315833723783, 0.0019312552003311794, 2.123343903525342e-05, -3.0314691853045804e-08, - 1.2487294283351865e-11, -4007.4588500659574, 7.292051245756898] - - [6.056341013899222, 0.0030216639820613593, 1.7253578062650515e-08, -6.963798357904168e-11, - 5.183057208559647e-15, -4890.522419625227, -6.347890258784624] - transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3O(19) - composition: {C: 1.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 916.8829933493292, 5000.0] - data: - - [4.0013584003847065, -0.004156846520657055, 3.263547221955298e-05, -3.711186602810377e-08, - 1.357094349113223e-11, -6.1526064014702495, 6.813711045465088] - - [4.01622143064721, 0.006268136296920596, -1.580682967181555e-06, 2.446071670945092e-10, - -1.703377063028599e-14, -449.8044912770936, 4.338809868552237] - transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3OH(20) - composition: {C: 1.0, H: 4.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 952.1390049892523, 5000.0] - data: - - [3.8949618646914814, -0.0007713531774978648, 2.6475515415217755e-05, -2.917936202495571e-08, - 1.008346963305855e-11, -26335.854768612895, 6.364759271913436] - - [3.1380783612295806, 0.01035420631950858, -3.569573151749763e-06, 6.2228668916139e-10, - -4.2780555575901343e-14, -26551.895638316753, 8.087777595311078] - transport: {model: gas, geometry: nonlinear, diameter: 3.626000000000001, well-depth: 481.802091582003, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H(21) - composition: {C: 2.0, H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1076.5704818206468, 5000.0] - data: - - [3.0385258829300867, 0.011544973952542158, -2.13265852063806e-05, 1.819350823632288e-08, - -5.415993206993174e-12, 66398.01424823917, 5.966773012271312] - - [4.008490886894203, 0.002068109058886469, 6.052729760746552e-08, -1.1771451581485252e-10, - 1.2928683868586873e-14, 66529.50618863567, 2.796351296333425] - transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: C2H2(22) - composition: {C: 2.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 888.6332573698685, 5000.0] - data: - - [3.035738949883715, 0.007712496693701177, 2.5345213214295086e-06, -1.08127265252239e-08, - 5.507293253410737e-12, 25852.644682349142, 4.5446426540356955] - - [5.762066268732216, 0.0023715503931059697, -1.495605027989058e-07, -2.1920816379730627e-11, - 2.218242568519203e-15, 25094.44163581229, -9.8262031130909] - transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: HCCO(23) - composition: {C: 2.0, H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 936.0638338156455, 5000.0] - data: - - [3.4564741981105866, 0.010572845910406789, -7.359887544424862e-06, 7.973601023123888e-10, - 8.645361824368292e-13, 22595.687979098253, 7.094959188530954] - - [5.998100748851587, 0.0031448049708706263, -9.578070880754557e-07, 1.5562258265125954e-10, - -1.0430954138010283e-14, 21969.46633246845, -5.802336802503179] - transport: {model: gas, geometry: nonlinear, diameter: 2.5000000000000013, well-depth: 150.00110650441783, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H3(24) - composition: {C: 2.0, H: 3.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 931.962212023413, 5000.0] - data: - - [3.9067047590631243, -0.004062401870992019, 3.867797131347494e-05, -4.629759538060542e-08, - 1.7290017979428887e-11, 34797.178287230156, 6.097892190067856] - - [5.447967662251187, 0.00498355761818403, -1.0882055482609133e-06, 1.798367816959015e-10, - -1.450958438072393e-14, 33829.773755408794, -4.878094367523621] - transport: {model: gas, geometry: nonlinear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: CH2CO(25) - composition: {C: 2.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 956.6656011892545, 5000.0] - data: - - [3.527484868198769, 0.007083431684664057, 9.178099855378612e-06, -1.6426760109754908e-08, - 6.711755426805425e-12, -7123.942572682992, 5.74371829305644] - - [5.764873997589697, 0.0059657238881748115, -1.9849417709511083e-06, 3.5276291146959303e-10, - -2.5163477230913927e-14, -7928.969043520739, -6.921342493299217] - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C2H4(26) - composition: {C: 2.0, H: 4.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 940.4497705659531, 5000.0] - data: - - [3.9797326352949947, -0.007575453789267002, 5.529678698868997e-05, -6.362143160193159e-08, - 2.317638705628905e-11, 5077.461359544857, 4.046269426569092] - - [5.203031247572093, 0.007824359839574056, -2.126796144827025e-06, 3.796814949883357e-10, - -2.946631428179492e-14, 3936.265997966851, -6.624318742964474] - transport: {model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: C2H5(27) - composition: {C: 2.0, H: 5.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 900.3099228102404, 5000.0] - data: - - [3.821848556135043, -0.003433763143364544, 5.0926334047127734e-05, -6.202202345512878e-08, - 2.3707738051150388e-11, 13066.012370104248, 7.616389151369181] - - [5.156175696399722, 0.009431283701050461, -1.8194942565372616e-06, 2.212040128713919e-10, - -1.434882242322594e-14, 12064.09587982507, -2.9108014724041458] - transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: H2O(28) - composition: {H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1130.2319853652602, 5000.0] - data: - - [4.057635244976516, -0.000787929225105982, 2.9087532150254498e-06, -1.4751627131997937e-09, - 2.1283291481264233e-13, -30281.586610762744, -0.3113619340114124] - - [2.843254544943804, 0.002751078821407235, -7.810277930349724e-07, 1.0724278935682e-10, - -5.793853249378119e-15, -29958.61459796287, 5.91039666022087] - transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, - dipole: 1.8439999999999999, rotational-relaxation: 4.0, note: GRI-Mech} -- name: C(29) - composition: {C: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 4879.79935843716, 5000.0] - data: - - [2.500000000525325, -3.0168053118223457e-12, 3.745821408661492e-15, -1.50856878452712e-18, - 1.8662647138106804e-22, 85474.52470338001, 3.6597842044554127] - - [4.284610711633441, -0.001454946491116745, 4.448043060261492e-07, -6.043596423527559e-11, - 3.0792155132960395e-15, 83723.39924907302, -7.788373613087492] - transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509, - note: GRI-Mech} -- name: HCCOH(30) - composition: {C: 2.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1009.8637012999272, 5000.0] - data: - - [3.3040942887788036, 0.012502409623651178, -3.794927006611445e-06, -4.463467889140594e-09, - 2.663296445786703e-12, 8782.035285298029, 7.197158046610339] - - [6.7124421084557255, 0.005148352546985302, -2.0007961255073056e-06, 3.788220622098627e-10, - -2.7409371539817003e-14, 7780.241038335323, -10.831303171558623] - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH2CHO(31) - composition: {C: 2.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 914.2226271625849, 5000.0] - data: - - [3.347130453665468, 0.0012881035572560081, 5.3995556395542196e-05, -7.841000105557811e-08, - 3.2406524239757355e-11, -2992.843237304796, 8.973167218050092] - - [11.726206662141818, -0.0014737830707500419, 2.9075381782842925e-06, -5.970291776561193e-10, - 3.7030834073193464e-14, -5941.56000498158, -38.44741802663305] - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3CHO(32) - composition: {C: 2.0, H: 4.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 984.2010162348785, 5000.0] - data: - - [3.7007817181115157, 0.0003879243367704248, 3.869255036762792e-05, -4.5244259315770294e-08, - 1.588572565028517e-11, -21380.908028979207, 9.135650995523074] - - [4.588923116475782, 0.012889323028356237, -4.914990795914254e-06, 9.265013752927798e-10, - -6.710055179135601e-14, -22336.026913179907, 0.900912176468082] - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C3H8(33) - composition: {C: 3.0, H: 8.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 986.5779958684415, 5000.0] - data: - - [3.0525537929988253, 0.012510086749717857, 3.793810179061001e-05, -5.120151479551931e-08, - 1.870619213354291e-11, -14454.176256102835, 10.067289317471973] - - [5.913210924575725, 0.02187617359087546, -8.176561387328486e-06, 1.4985342968274769e-09, - -1.059904441878504e-13, -16038.898349546516, -8.865822899942685] - transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: N2 - composition: {N: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] - - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] - transport: {model: gas, geometry: linear, diameter: 3.6210000000000013, well-depth: 97.53030619382686, - polarizability: 1.7600000000000011, rotational-relaxation: 4.0, note: GRI-Mech} -- name: Ar - composition: {Ar: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677, - note: GRI-Mech} -- name: He - composition: {He: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2, - note: NOx2018} -- name: Ne - composition: {Ne: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6, - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the - fallback method! Try improving transport databases!} -reactions: -- equation: H2(3) + O(2) <=> H(4) + OH(5) - rate-constant: {A: 38700.0, b: 2.7, Ea: 6.260000000000001} -- equation: HO2(6) + O(2) <=> O2(7) + OH(5) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) - rate-constant: {A: 9630000.0, b: 2.0, Ea: 4.0} -- equation: CH(9) + O(2) <=> CO(10) + H(4) - rate-constant: {A: 57000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH2(11) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 80000000000000.02, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) - rate-constant: {A: 15000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 15000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH3(14) + O(2) <=> CH2O(15) + H(4) - rate-constant: {A: 50600000000000.01, b: 0.0, Ea: 0.0} -- equation: CH4(16) + O(2) <=> CH3(14) + OH(5) - rate-constant: {A: 1020000000.0000001, b: 1.5, Ea: 8.600000000000003} -- equation: HCO(12) + O(2) <=> CO(10) + OH(5) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: HCO(12) + O(2) <=> CO2(17) + H(4) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) - rate-constant: {A: 39000000000000.01, b: 0.0, Ea: 3.5400000000000005} -- equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) - rate-constant: {A: 388000.00000000006, b: 2.5, Ea: 3.1} -- equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) - rate-constant: {A: 130000.00000000003, b: 2.5, Ea: 5.000000000000001} -- equation: C2H(21) + O(2) <=> CH(9) + CO(10) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) - rate-constant: {A: 13500000.000000002, b: 2.0, Ea: 1.9000000000000004} -- equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) - rate-constant: {A: 4.600000000000001e+19, b: -1.41, Ea: 28.950000000000006} -- equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) - rate-constant: {A: 6940000.000000001, b: 2.0, Ea: 1.9000000000000004} -- equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) - rate-constant: {A: 12500000.000000002, b: 1.83, Ea: 0.22000000000000003} -- equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) - rate-constant: {A: 22400000000000.004, b: 0.0, Ea: 0.0} -- equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) - rate-constant: {A: 89800000.00000001, b: 1.92, Ea: 5.690000000000001} -- equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) - rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 0.0} -- equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 8.0} -- equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) - rate-constant: {A: 1750000000000.0002, b: 0.0, Ea: 1.3500000000000005} -- equation: CO(10) + O2(7) <=> CO2(17) + O(2) - rate-constant: {A: 2500000000000.0005, b: 0.0, Ea: 47.800000000000004} -- equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) - rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 40.00000000000001} -- equation: H(4) + 2 O2(7) + O2(7) <=> HO2(6) + O2(7) + O2(7) - rate-constant: {A: 2.0800000000000004e+19, b: -1.24, Ea: 0.0} - efficiencies: {O2(7): 1.0} -- equation: H(4) + H2O(28) + O2(7) + H2O(28) <=> H2O(28) + HO2(6) + H2O(28) - rate-constant: {A: 1.1260000000000002e+19, b: -0.76, Ea: 0.0} - efficiencies: {H2O(28): 1.0} -- equation: H(4) + O2(7) <=> O(2) + OH(5) - rate-constant: {A: 2.6500000000000004e+16, b: -0.6707, Ea: 17.041000000000004} -- equation: 2 H(4) + H2(3) + H2(3) <=> 2 H2(3) + H2(3) - rate-constant: {A: 9.000000000000002e+16, b: -0.6, Ea: 0.0} - efficiencies: {H2(3): 1.0} -- equation: 2 H(4) + H2O(28) + H2O(28) <=> H2(3) + H2O(28) + H2O(28) - rate-constant: {A: 6.000000000000001e+19, b: -1.25, Ea: 0.0} - efficiencies: {H2O(28): 1.0} -- equation: CO2(17) + 2 H(4) + CO2(17) <=> CO2(17) + H2(3) + CO2(17) - rate-constant: {A: 5.500000000000001e+20, b: -2.0, Ea: 0.0} - efficiencies: {CO2(17): 1.0} -- equation: H(4) + HO2(6) <=> H2O(28) + O(2) - rate-constant: {A: 3970000000000.0005, b: 0.0, Ea: 0.6710000000000002} -- equation: H(4) + HO2(6) <=> H2(3) + O2(7) - rate-constant: {A: 44800000000000.01, b: 0.0, Ea: 1.0680000000000005} -- equation: H(4) + HO2(6) <=> 2 OH(5) - rate-constant: {A: 84000000000000.02, b: 0.0, Ea: 0.635} -- equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) - rate-constant: {A: 12100000.000000002, b: 2.0, Ea: 5.200000000000001} -- equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 3.600000000000001} -- equation: CH(9) + H(4) <=> C(29) + H2(3) - rate-constant: {A: 165000000000000.03, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH4(16) + H(4) <=> CH3(14) + H2(3) - rate-constant: {A: 660000000.0000001, b: 1.62, Ea: 10.840000000000003} -- equation: H(4) + HCO(12) <=> CO(10) + H2(3) - rate-constant: {A: 73400000000000.02, b: 0.0, Ea: 0.0} -- equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) - rate-constant: {A: 57400000.000000015, b: 1.9, Ea: 2.7420000000000004} -- equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 165000000000.00003, b: 0.65, Ea: -0.28400000000000003} -- equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 32800000000000.004, b: -0.09, Ea: 0.6100000000000002} -- equation: CH3O(19) + H(4) + H(4) <=> CH2OH(18) + H(4) + H(4) - rate-constant: {A: 41500000.00000001, b: 1.63, Ea: 1.9240000000000006} - efficiencies: {H(4): 1.0} -- equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 1500000000000.0002, b: 0.5, Ea: -0.11000000000000001} -- equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 262000000000000.03, b: -0.23, Ea: 1.07} -- equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) - rate-constant: {A: 17000000.000000004, b: 2.1, Ea: 4.87} -- equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) - rate-constant: {A: 4200000.000000001, b: 2.1, Ea: 4.87} -- equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) - rate-constant: {A: 1325000.0000000002, b: 2.53, Ea: 12.24} -- equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) - rate-constant: {A: 2000000000000.0002, b: 0.0, Ea: 0.0} -- equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) - rate-constant: {A: 115000000.00000001, b: 1.9, Ea: 7.530000000000001} -- equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) - rate-constant: {A: 100000000000000.02, b: 0.0, Ea: 0.0} -- equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 8.0} -- equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) - rate-constant: {A: 11300000000000.002, b: 0.0, Ea: 3.428000000000001} -- equation: H(4) + HCCOH(30) + H(4) <=> CH2CO(25) + H(4) + H(4) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} - efficiencies: {H(4): 1.0} -- equation: H2(3) + OH(5) <=> H(4) + H2O(28) - rate-constant: {A: 216000000.00000003, b: 1.51, Ea: 3.4300000000000006} -- equation: 2 OH(5) <=> H2O(28) + O(2) - rate-constant: {A: 35700.0, b: 2.4, Ea: -2.1100000000000003} -- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 14500000000000.002, b: 0.0, Ea: -0.5} - duplicate: true -- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 5000000000000001.0, b: 0.0, Ea: 17.330000000000005} - duplicate: true -- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 2000000000000.0002, b: 0.0, Ea: 0.42700000000000005} - duplicate: true -- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 1.7000000000000003e+18, b: 0.0, Ea: 29.410000000000007} - duplicate: true -- equation: C(29) + OH(5) <=> CO(10) + H(4) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH(9) + OH(5) <=> H(4) + HCO(12) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) - rate-constant: {A: 11300000.000000002, b: 2.0, Ea: 3.0000000000000004} -- equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) - rate-constant: {A: 56000000.00000001, b: 1.6, Ea: 5.420000000000002} -- equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 6.440000000000001e+17, b: -1.34, Ea: 1.417} -- equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) - rate-constant: {A: 100000000.00000001, b: 1.6, Ea: 3.1200000000000006} -- equation: CO(10) + OH(5) <=> CO2(17) + H(4) - rate-constant: {A: 47600000.00000001, b: 1.228, Ea: 0.07} -- equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) - rate-constant: {A: 3430000000.0000005, b: 1.18, Ea: -0.4470000000000001} -- equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} -- equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} -- equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) - rate-constant: {A: 1440000.0000000002, b: 2.0, Ea: -0.8400000000000002} -- equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) - rate-constant: {A: 6300000.000000001, b: 2.0, Ea: 1.5000000000000002} -- equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) - rate-constant: {A: 0.00021800000000000004, b: 4.5, Ea: -1.0} -- equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) - rate-constant: {A: 504000.0000000001, b: 2.3, Ea: 13.500000000000002} -- equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) - rate-constant: {A: 33700000.0, b: 2.0, Ea: 14.000000000000004} -- equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) - rate-constant: {A: 0.0004830000000000001, b: 4.0, Ea: -2.0} -- equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 0.0} -- equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) - rate-constant: {A: 3600000.0000000005, b: 2.0, Ea: 2.5000000000000004} -- equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) - rate-constant: {A: 3540000.0000000005, b: 2.12, Ea: 0.8700000000000001} -- equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) - rate-constant: {A: 7500000000000.001, b: 0.0, Ea: 2.0} -- equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 130000000000.00002, b: 0.0, Ea: -1.6300000000000003} - duplicate: true -- equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 420000000000000.06, b: 0.0, Ea: 12.000000000000002} - duplicate: true -- equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) - rate-constant: {A: 20000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) - rate-constant: {A: 1000000000000.0001, b: 0.0, Ea: 0.0} -- equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) - rate-constant: {A: 37800000000000.01, b: 0.0, Ea: 0.0} -- equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) - rate-constant: {A: 150000000000000.03, b: 0.0, Ea: 23.60000000000001} -- equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) - rate-constant: {A: 5600000.000000001, b: 2.0, Ea: 12.000000000000002} -- equation: C(29) + O2(7) <=> CO(10) + O(2) - rate-constant: {A: 58000000000000.01, b: 0.0, Ea: 0.5760000000000001} -- equation: C(29) + CH2(11) <=> C2H(21) + H(4) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: C(29) + CH3(14) <=> C2H2(22) + H(4) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH(9) + O2(7) <=> HCO(12) + O(2) - rate-constant: {A: 67100000000000.01, b: 0.0, Ea: 0.0} -- equation: CH(9) + H2(3) <=> CH2(11) + H(4) - rate-constant: {A: 108000000000000.02, b: 0.0, Ea: 3.1100000000000008} -- equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) - rate-constant: {A: 5710000000000.001, b: 0.0, Ea: -0.7550000000000001} -- equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) - rate-constant: {A: 40000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) - rate-constant: {A: 60000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) - rate-constant: {A: 190000000000000.03, b: 0.0, Ea: 15.792000000000003} -- equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) - rate-constant: {A: 94600000000000.02, b: 0.0, Ea: -0.515} -- equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) - rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 1.5000000000000002} -- equation: CH2(11) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 500000.0000000001, b: 2.0, Ea: 7.23} -- equation: 2 CH2(11) <=> C2H2(22) + H2(3) - rate-constant: {A: 1600000000000000.2, b: 0.0, Ea: 11.944000000000003} -- equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 40000000000000.01, b: 0.0, Ea: 0.0} -- equation: CH2(11) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 2460000.0000000005, b: 2.0, Ea: 8.270000000000001} -- equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) - rate-constant: {A: 28000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) - rate-constant: {A: 12000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 70000000000000.016, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + H2O(28) + H2O(28) <=> CH2(11) + H2O(28) + H2O(28) - rate-constant: {A: 30000000000000.004, b: 0.0, Ea: 0.0} - efficiencies: {H2O(28): 1.0} -- equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 12000000000000.002, b: 0.0, Ea: -0.5700000000000001} -- equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 16000000000000.002, b: 0.0, Ea: -0.5700000000000001} -- equation: CH2(S)(13) + CO(10) + CO(10) <=> CH2(11) + CO(10) + CO(10) - rate-constant: {A: 9000000000000.002, b: 0.0, Ea: 0.0} - efficiencies: {CO(10): 1.0} -- equation: CH2(S)(13) + CO2(17) + CO2(17) <=> CH2(11) + CO2(17) + CO2(17) - rate-constant: {A: 7000000000000.001, b: 0.0, Ea: 0.0} - efficiencies: {CO2(17): 1.0} -- equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) - rate-constant: {A: 14000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) - rate-constant: {A: 40000000000000.01, b: 0.0, Ea: -0.5500000000000002} -- equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) - rate-constant: {A: 35600000000000.01, b: 0.0, Ea: 30.480000000000008} -- equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) - rate-constant: {A: 2310000000000.0005, b: 0.0, Ea: 20.315} -- equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) - rate-constant: {A: 24500.000000000004, b: 2.47, Ea: 5.1800000000000015} -- equation: 2 CH3(14) <=> C2H5(27) + H(4) - rate-constant: {A: 6840000000000.001, b: 0.1, Ea: 10.600000000000001} -- equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) - rate-constant: {A: 26480000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) - rate-constant: {A: 3320.0000000000005, b: 2.81, Ea: 5.86} -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) - rate-constant: {A: 30000000.000000004, b: 1.5, Ea: 9.940000000000001} -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) - rate-constant: {A: 10000000.000000002, b: 1.5, Ea: 9.940000000000001} -- equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) - rate-constant: {A: 227000.00000000003, b: 2.0, Ea: 9.200000000000001} -- equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) - rate-constant: {A: 6140000.000000002, b: 1.74, Ea: 10.450000000000001} -- equation: H2O(28) + HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) + H2O(28) - rate-constant: {A: 1.5000000000000003e+18, b: -1.0, Ea: 17.0} - efficiencies: {H2O(28): 1.0} -- equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) - rate-constant: {A: 13450000000000.002, b: 0.0, Ea: 0.4000000000000001} -- equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 18000000000000.004, b: 0.0, Ea: 0.9000000000000002} -- equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 4.2800000000000004e-13, b: 7.6, Ea: -3.5300000000000007} -- equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: -0.7550000000000001} -- equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) - rate-constant: {A: 56800000000.00001, b: 0.9, Ea: 1.9930000000000003} -- equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) - rate-constant: {A: 4.580000000000001e+16, b: -1.39, Ea: 1.0150000000000001} -- equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) - rate-constant: {A: 840000000000.0001, b: 0.0, Ea: 3.875000000000001} -- equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) - rate-constant: {A: 3200000000000.0005, b: 0.0, Ea: 0.8540000000000001} -- equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) - rate-constant: {A: 10000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) - rate-constant: {A: 33700000000000.008, b: 0.0, Ea: 0.0} -- equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) - rate-constant: {A: 6700000.000000001, b: 1.83, Ea: 0.22000000000000003} -- equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) - rate-constant: {A: 109600000000000.02, b: 0.0, Ea: 0.0} -- equation: CH3(14) + OH(5) => CH2O(15) + H2(3) - rate-constant: {A: 8000000000.000001, b: 0.5, Ea: -1.7550000000000001} -- equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) - rate-constant: {A: 5800000000000.001, b: 0.0, Ea: 1.5000000000000002} -- equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) - rate-constant: {A: 2400000000000.0005, b: 0.0, Ea: 1.5000000000000002} -- equation: 2 CH2(11) => C2H2(22) + 2 H(4) - rate-constant: {A: 200000000000000.03, b: 0.0, Ea: 10.989} -- equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) - rate-constant: {A: 68200000000.000015, b: 0.25, Ea: -0.9350000000000002} -- equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) - rate-constant: {A: 303000000000.00006, b: 0.29, Ea: 0.011000000000000003} -- equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) - rate-constant: {A: 1337000.0000000002, b: 1.61, Ea: -0.38400000000000006} -- equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) - rate-constant: {A: 2920000000000.0005, b: 0.0, Ea: 1.8080000000000005} -- equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) - rate-constant: {A: 2920000000000.0005, b: 0.0, Ea: 1.8080000000000005} -- equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) - rate-constant: {A: 30100000000000.004, b: 0.0, Ea: 39.150000000000006} -- equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) - rate-constant: {A: 2050000000.0000005, b: 1.16, Ea: 2.4050000000000002} -- equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) - rate-constant: {A: 2050000000.0000005, b: 1.16, Ea: 2.4050000000000002} -- equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) - rate-constant: {A: 23430000000.000004, b: 0.73, Ea: -1.113} -- equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) - rate-constant: {A: 3010000000000.0005, b: 0.0, Ea: 11.923000000000002} -- equation: CH3(14) + CH3CHO(32) + CH3(14) => CH3(14) + CH4(16) + CO(10) + CH3(14) - rate-constant: {A: 2720000.0000000005, b: 1.77, Ea: 5.920000000000002} - efficiencies: {CH3(14): 1.0} -- equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) - rate-constant: {A: 150000000000000.03, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) - rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) - rate-constant: {A: 23500000000.000004, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) - rate-constant: {A: 22000000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) - rate-constant: {A: 11000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) - rate-constant: {A: 12000000000000.002, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) - rate-constant: {A: 30100000000000.004, b: 0.0, Ea: 0.0} -- equation: 2 O(2) + M <=> O2(7) + M - rate-constant: {A: 1.2000000000000002e+17, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, - Ar: 0.83} -- equation: H(4) + O(2) + M <=> OH(5) + M - rate-constant: {A: 5.000000000000001e+17, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: H(4) + O2(7) + M <=> HO2(6) + M - rate-constant: {A: 2.8000000000000005e+18, b: -0.86, Ea: 0.0} - efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, - Ar: 0.0} -- equation: 2 H(4) + M <=> H2(3) + M - rate-constant: {A: 1.0000000000000003e+18, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, - Ar: 0.63} -- equation: H(4) + OH(5) + M <=> H2O(28) + M - rate-constant: {A: 2.2000000000000004e+22, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} -- equation: HCO(12) + M <=> CO(10) + H(4) + M - rate-constant: {A: 1.8700000000000003e+17, b: -1.0, Ea: 17.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} -- equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) - type: falloff - low-P-rate-constant: {A: 602000000000000.1, b: 0.0, Ea: 3.0000000000000004} - high-P-rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 2.3850000000000002} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, - H2O(28): 6.0, Ar: 0.5} -- equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) - type: falloff - low-P-rate-constant: {A: 1.0400000000000001e+26, b: -2.76, Ea: 1.6000000000000003} - high-P-rate-constant: {A: 600000000000000.1, b: 0.0, Ea: 0.0} - Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) - type: falloff - low-P-rate-constant: {A: 2.620000000000001e+33, b: -4.76, Ea: 2.440000000000001} - high-P-rate-constant: {A: 1.3900000000000002e+16, b: -0.534, Ea: 0.5360000000000001} - Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) - type: falloff - low-P-rate-constant: {A: 2.4700000000000006e+24, b: -2.57, Ea: 0.42500000000000004} - high-P-rate-constant: {A: 1090000000000.0002, b: 0.48, Ea: -0.2600000000000001} - Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) - type: falloff - low-P-rate-constant: {A: 1.2700000000000002e+32, b: -4.82, Ea: 6.53} - high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 3.600000000000001} - Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) - type: falloff - low-P-rate-constant: {A: 2.2000000000000006e+30, b: -4.8, Ea: 5.5600000000000005} - high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 2.6000000000000005} - Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.360000000000001e+31, b: -4.65, Ea: 5.08} - high-P-rate-constant: {A: 1055000000000.0002, b: 0.5, Ea: 0.08600000000000001} - Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.660000000000001e+41, b: -7.44, Ea: 14.080000000000002} - high-P-rate-constant: {A: 2430000000000.0005, b: 0.515, Ea: 0.05000000000000001} - Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) - type: falloff - low-P-rate-constant: {A: 3.7500000000000014e+33, b: -4.8, Ea: 1.9000000000000004} - high-P-rate-constant: {A: 1.0000000000000002e+17, b: -1.0, Ea: 0.0} - Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) - type: falloff - low-P-rate-constant: {A: 3.8000000000000005e+40, b: -7.27, Ea: 7.220000000000001} - high-P-rate-constant: {A: 5600000000000.001, b: 0.0, Ea: 2.4000000000000004} - Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) - type: falloff - low-P-rate-constant: {A: 1.4000000000000005e+30, b: -3.86, Ea: 3.320000000000001} - high-P-rate-constant: {A: 6080000000000.001, b: 0.27, Ea: 0.28} - Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) - type: falloff - low-P-rate-constant: {A: 6.0000000000000004e+41, b: -7.62, Ea: 6.970000000000001} - high-P-rate-constant: {A: 540000000000.0001, b: 0.454, Ea: 1.8200000000000003} - Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) - type: falloff - low-P-rate-constant: {A: 1.9900000000000004e+41, b: -7.08, Ea: 6.6850000000000005} - high-P-rate-constant: {A: 5.2100000000000006e+17, b: -0.99, Ea: 1.58} - Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) - type: falloff - low-P-rate-constant: {A: 5.070000000000001e+27, b: -3.42, Ea: 84.35000000000001} - high-P-rate-constant: {A: 43000000.00000001, b: 1.5, Ea: 79.60000000000001} - Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: 2 OH(5) (+M) <=> H2O2(8) (+M) - type: falloff - low-P-rate-constant: {A: 2.3000000000000005e+18, b: -0.9, Ea: -1.7000000000000002} - high-P-rate-constant: {A: 74000000000000.02, b: -0.37, Ea: 0.0} - Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.0000000000000014e+36, b: -5.92, Ea: 3.14} - high-P-rate-constant: {A: 2.7900000000000005e+18, b: -1.43, Ea: 1.33} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) - type: falloff - low-P-rate-constant: {A: 2.6900000000000003e+28, b: -3.74, Ea: 1.9360000000000004} - high-P-rate-constant: {A: 50000000000000.01, b: 0.0, Ea: 0.0} - Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) - type: falloff - low-P-rate-constant: {A: 2.6900000000000005e+33, b: -5.11, Ea: 7.095000000000001} - high-P-rate-constant: {A: 810000000000.0001, b: 0.5, Ea: 4.510000000000002} - Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 1.8800000000000002e+38, b: -6.36, Ea: 5.04} - high-P-rate-constant: {A: 4.8200000000000006e+17, b: -1.16, Ea: 1.1450000000000002} - Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} -- equation: 2 CH3(14) (+M) <=> ethane(1) (+M) - type: falloff - low-P-rate-constant: {A: 3.4000000000000008e+41, b: -7.03, Ea: 2.7620000000000005} - high-P-rate-constant: {A: 6.770000000000001e+16, b: -1.18, Ea: 0.6540000000000002} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) - type: falloff - low-P-rate-constant: {A: 1.5800000000000005e+51, b: -9.3, Ea: 97.80000000000001} - high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 86.77000000000002} - Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) - type: falloff - low-P-rate-constant: {A: 4.820000000000001e+25, b: -2.8, Ea: 0.5900000000000002} - high-P-rate-constant: {A: 1970000000000.0002, b: 0.43, Ea: -0.3700000000000001} - Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) - type: falloff - low-P-rate-constant: {A: 1.0120000000000001e+42, b: -7.63, Ea: 3.8540000000000005} - high-P-rate-constant: {A: 486500000000.00006, b: 0.422, Ea: -1.7550000000000001} - Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) - type: falloff - low-P-rate-constant: {A: 2.7100000000000005e+74, b: -16.82, Ea: 13.065000000000003} - high-P-rate-constant: {A: 9430000000000.002, b: 0.0, Ea: 0.0} - Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} -- equation: H(4) + HO2(6) <=> H2O2(8) - rate-constant: {A: 5250690000.0, b: 1.27262, Ea: 0.0} -- equation: CH(9) + H(4) <=> CH2(S)(13) - rate-constant: {A: 53700000000000.0, b: 0.15395, Ea: 0.0} -- equation: H(4) + HCCO(23) <=> CH2CO(25) - rate-constant: {A: 11386000000000.0, b: 0.308956, Ea: 0.0} -- equation: C2H(21) + OH(5) <=> HCCOH(30) - rate-constant: {A: 77000000000000.0, b: 4.95181e-08, Ea: 0.0} -- equation: H(4) + HCCO(23) <=> HCCOH(30) - rate-constant: {A: 2805150000000.0, b: 0.314888, Ea: 0.0} -- equation: CH3(14) + HCO(12) <=> CH3CHO(32) - rate-constant: {A: 18100000000000.004, b: 0.0, Ea: 0.0} -- equation: CH2CHO(31) + H(4) <=> CH3CHO(32) - rate-constant: {A: 78286700000000.0, b: 0.0631113, Ea: 0.0} -- equation: 2 CH(9) <=> C2H2(22) - rate-constant: {A: 99813000000.0, b: 0.610916, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml deleted file mode 100644 index 8b24f4d1c73..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/cantera1/chem47.yaml +++ /dev/null @@ -1,2778 +0,0 @@ -generator: RMG -date: Tue, 18 Feb 2025 15:33:45 - -units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} - - -phases: -- name: gas - thermo: ideal-gas - elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] - species: [Ar, Ne, N2, CH4(2), H2O(3), CO2(4), H2(5), CO(6), O2(7), C2H6(8), CH3(9), CH3OH(10), C2H4(11), CH3CHO(12), C3H6O(13), C2H6O(14), CH3COOCH3(15)] - kinetics: gas - reactions: [gas_reactions] - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -- name: Pt_surface - thermo: ideal-surface - adjacent-phases: [gas] - elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] - species: [X(1), HX(16), OX(17), CX(18), COX(19), CHX(20), CH2X(21), HCOX(22), HCOHX(23), CH3OX(24), CH3COOX(25), CH2COX(26), CH2COX2(27), CH3COOHX(28), C2H4X(29), C2H4X2(30), COOHX(31), CH3X(32), HOX(33), OCXOX(34), HOCXO(35), CO2X(36), H2OX(43), 'C.[Pt](84)', C2H3X(88), CHOX2(110), C2H3X2(120), 'CC#[Pt](307)', C2H2X2(338), 'C#C.[Pt](513)'] - kinetics: surface - reactions: [surface_reactions] - site-density: 3.148e-09 - -elements: -- symbol: D - atomic-weight: 2.014102 -- symbol: T - atomic-weight: 3.016049 -- symbol: CI - atomic-weight: 13.003354 -- symbol: OI - atomic-weight: 17.999159 -- symbol: X - atomic-weight: 195.083 - -species: -- name: Ar - composition: - Ar: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 - data: - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 4.37967 - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 4.37967 - transport: - model: gas - geometry: atom - diameter: 3.3300000000000005 - well-depth: 136.50054988458677 - note: GRI-Mech -- name: Ne - composition: - Ne: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 - data: - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 3.35532 - - - 2.5 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - -745.375 - - 3.35532 - transport: - model: gas - geometry: atom - diameter: 3.7580000000000005 - well-depth: 148.6 - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the - fallback method! Try improving transport databases! -- name: N2 - composition: - N: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 200.0 - - 1000.0 - - 6000.0 - data: - - - 3.53101 - - -0.000123661 - - -5.02999e-07 - - 2.43531e-09 - - -1.40881e-12 - - -1046.98 - - 2.96747 - - - 2.95258 - - 0.0013969 - - -4.92632e-07 - - 7.8601e-11 - - -4.60755e-15 - - -923.949 - - 5.87189 - transport: - model: gas - geometry: linear - diameter: 3.6210000000000013 - well-depth: 97.53030619382686 - polarizability: 1.7600000000000011 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: X(1) - composition: - X: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 298.0 - - 1000.0 - - 2000.0 - data: - - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 - - 0.0 -- name: CH4(2) - composition: - C: 1.0 - H: 4.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1084.1187337643662 - - 5000.0 - data: - - - 4.205416196255041 - - -0.005355584631145938 - - 2.5112363572294852e-05 - - -2.137632989042285e-08 - - 5.9752576676099345e-12 - - -10161.943346777867 - - -0.9212827273392239 - - - 0.9082602129576632 - - 0.011454094892455498 - - -4.5717433924635545e-06 - - 8.291928595922759e-10 - - -5.6631586824980706e-14 - - -9719.972022902222 - - 13.993125635097375 - transport: - model: gas - geometry: nonlinear - diameter: 3.746000000000001 - well-depth: 141.400440100105 - polarizability: 2.600000000000002 - rotational-relaxation: 13.0 - note: GRI-Mech -- name: H2O(3) - composition: - H: 2.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1130.243284919479 - - 5000.0 - data: - - - 4.057636221872408 - - -0.0007879402524835726 - - 2.9087893225841516e-06 - - -1.4752057824605237e-09 - - 2.1284959599833601e-13 - - -30281.586653679737 - - -0.3113654695330764 - - - 2.843247813270488 - - 0.0027510897463440443 - - -7.810338827223348e-07 - - 1.0724419204775164e-10 - - -5.793967385714403e-15 - - -29958.611588952655 - - 5.910434907048865 - transport: - model: gas - geometry: nonlinear - diameter: 2.6050000000000004 - well-depth: 572.4019516813576 - dipole: 1.8439999999999999 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: CO2(4) - composition: - C: 1.0 - O: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 978.2164247415373 - - 5000.0 - data: - - - 3.280844236561561 - - 0.002501860004866126 - - 8.08190843915926e-06 - - -1.2051019574327036e-08 - - 4.665419284125267e-12 - - -48400.830312852784 - - 6.00081543904009 - - - 4.6742752757606745 - - 0.0026096268846741164 - - -9.856820820173133e-07 - - 1.957120153217903e-10 - - -1.4983471395230124e-14 - - -48951.21731066457 - - -2.1107803190827465 - transport: - model: gas - geometry: linear - diameter: 3.763 - well-depth: 244.00106224424113 - polarizability: 2.650000000000001 - rotational-relaxation: 2.1 - note: GRI-Mech -- name: H2(5) - composition: - H: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1959.08462230851 - - 5000.0 - data: - - - 3.4353643375690575 - - 0.00021270843056734023 - - -2.7862068251219974e-07 - - 3.4026374586351706e-10 - - -7.760235284610629e-14 - - -1031.3598528421899 - - -3.908418170766748 - - - 2.7881426891855945 - - 0.000587671007977702 - - 1.5899634118409258e-07 - - -5.527107765047777e-11 - - 4.342903937188434e-15 - - -596.1306154450648 - - 0.11286983601569868 - transport: - model: gas - geometry: linear - diameter: 2.9200000000000004 - well-depth: 38.00012796964137 - polarizability: 0.7900000000000005 - rotational-relaxation: 280.0 - note: GRI-Mech -- name: CO(6) - composition: - C: 1.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1571.6593741294669 - - 5000.0 - data: - - - 3.5683789993113204 - - -0.0008521161385230426 - - 2.489153078746991e-06 - - -1.5632874127406197e-09 - - 3.1358850739748245e-13 - - -14284.254889750642 - - 3.5791254751491537 - - - 2.913095893090424 - - 0.0016465367644801375 - - -6.885940678175395e-07 - - 1.210329274784425e-10 - - -7.839840585892357e-15 - - -14180.899929543586 - - 6.710287418337844 - transport: - model: gas - geometry: linear - diameter: 3.6500000000000004 - well-depth: 98.10027624123336 - polarizability: 1.9500000000000008 - rotational-relaxation: 1.8 - note: GRI-Mech -- name: O2(7) - composition: - O: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1074.5555114962035 - - 5000.0 - data: - - - 3.537321799907554 - - -0.0012157092105349748 - - 5.316177942590317e-06 - - -4.894433842532746e-09 - - 1.4584502658366455e-12 - - -1038.5884607015485 - - 4.683684088842607 - - - 3.1538242933344125 - - 0.001678037943720445 - - -7.699709798598658e-07 - - 1.5127470439159983e-10 - - -1.0878179254258219e-14 - - -1040.818802796597 - - 6.16753858679826 - transport: - model: gas - geometry: linear - diameter: 3.4580000000000015 - well-depth: 107.40032560095216 - polarizability: 1.6000000000000008 - rotational-relaxation: 3.8 - note: GRI-Mech -- name: C2H6(8) - composition: - C: 2.0 - H: 6.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1012.4143908176864 - - 5000.0 - data: - - - 3.7224027214290585 - - 0.0016507216851436085 - - 3.4417964169825765e-05 - - -3.768635653272928e-08 - - 1.2445292179204619e-11 - - -11557.590566943427 - - 4.682444888027526 - - - 2.8284402467294902 - - 0.017304128331706716 - - -6.733383493412886e-06 - - 1.2374299067889905e-09 - - -8.656844034734494e-14 - - -11997.790083232097 - - 5.938355682638575 - transport: - model: gas - geometry: nonlinear - diameter: 4.3020000000000005 - well-depth: 252.30104810022812 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: CH3(9) - composition: - C: 1.0 - H: 3.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 697.6534741766965 - - 5000.0 - data: - - - 3.9604315909856713 - - 0.0005929325518967126 - - 8.785780906372586e-06 - - -9.880343260208576e-09 - - 3.6323637393909093e-12 - - 16421.88173561743 - - 0.33986347561181546 - - - 3.095112437831353 - - 0.005554297527849976 - - -1.8815877454521128e-06 - - 3.1333480061460194e-10 - - -2.051949923202252e-14 - - 16542.619031157636 - - 4.202975724684728 - transport: - model: gas - geometry: nonlinear - diameter: 3.8 - well-depth: 144.00072548202698 - note: GRI-Mech -- name: CH3OH(10) - composition: - C: 1.0 - H: 4.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1035.7423959466812 - - 5000.0 - data: - - - 3.840067829214246 - - 0.0013823530072473104 - - 1.916695141756019e-05 - - -2.0157162318442508e-08 - - 6.391145984999754e-12 - - -25608.308954921802 - - 5.909760961217521 - - - 2.7918159589998375 - - 0.011582830476657863 - - -4.515545111036702e-06 - - 8.212127607375687e-10 - - -5.6706824178167993e-14 - - -25721.155782524937 - - 9.410768406918132 - transport: - model: gas - geometry: nonlinear - diameter: 3.626000000000001 - well-depth: 481.802091582003 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: C2H4(11) - composition: - C: 2.0 - H: 4.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 979.3618095206666 - - 5000.0 - data: - - - 3.974701280059024 - - -0.004758264205082085 - - 4.167773383176862e-05 - - -4.5138395334516856e-08 - - 1.5422102566698024e-11 - - 4915.408091071431 - - 3.624361133438067 - - - 3.5566615930688514 - - 0.011062651497825246 - - -4.170135867268412e-06 - - 7.85573759380627e-10 - - -5.700500153666173e-14 - - 4320.441720817992 - - 2.1768826469836897 - transport: - model: gas - geometry: nonlinear - diameter: 3.9710000000000005 - well-depth: 280.80075319274636 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: CH3CHO(12) - composition: - C: 2.0 - H: 4.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1028.8023918717618 - - 5000.0 - data: - - - 3.5799294150648864 - - 0.005189770481773756 - - 2.2689973566565946e-05 - - -2.7374551494008247e-08 - - 9.284917028878933e-12 - - -21369.737609745825 - - 8.969696167185589 - - - 4.085613942096295 - - 0.013906161620516692 - - -5.593725835684122e-06 - - 1.0460983036639744e-09 - - -7.387431892572972e-14 - - -22039.12378460797 - - 3.768155983239756 - transport: - model: gas - geometry: nonlinear - diameter: 3.9700000000000006 - well-depth: 436.0012277388149 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: C3H6O(13) - composition: - C: 3.0 - H: 6.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1023.9482752714948 - - 5000.0 - data: - - - 3.011401597809541 - - 0.015468379714093743 - - 2.1500989201259812e-05 - - -3.246115535830465e-08 - - 1.1787411835246626e-11 - - -27871.24318665779 - - 13.220327873565262 - - - 5.795918074341681 - - 0.02007633488334714 - - -7.934302252265999e-06 - - 1.4730506707783468e-09 - - -1.037754392188254e-13 - - -29253.28867814445 - - -4.243346340276008 - transport: - model: gas - geometry: nonlinear - diameter: 5.329790656420617 - well-depth: 385.40650221034775 - note: Epsilon & sigma estimated with Tc=500.53 K, Pc=48.02 bar (from Joback method) -- name: C2H6O(14) - composition: - C: 2.0 - H: 6.0 - O: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 984.001074254348 - - 5000.0 - data: - - - 3.2402595276101858 - - 0.01048595781146264 - - 2.6396769615238197e-05 - - -3.692935677602931e-08 - - 1.3671059764757759e-11 - - -29990.284414834074 - - 11.143301888722519 - - - 5.6849415341883915 - - 0.016131329022904588 - - -5.9636574154952995e-06 - - 1.0889720834413842e-09 - - -7.696209026654223e-14 - - -31225.821127246145 - - -4.444891933810413 - transport: - model: gas - geometry: nonlinear - diameter: 4.530000000000001 - well-depth: 362.6 - rotational-relaxation: 1.5 - note: NOx2018 -- name: CH3COOCH3(15) - composition: - C: 3.0 - H: 6.0 - O: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 1154.014016522329 - - 5000.0 - data: - - - 2.7506220700391415 - - 0.022081307138984107 - - 1.2174217632822808e-05 - - -2.192140560818284e-08 - - 7.336202259824892e-12 - - -51179.369924439074 - - 16.500243824317018 - - - 5.625264379169836 - - 0.026109980413376352 - - -1.1250095321623012e-05 - - 2.1176510350057785e-09 - - -1.4768311053277557e-13 - - -52774.57988068857 - - -1.8169541985155664 - transport: - model: gas - geometry: nonlinear - diameter: 5.472740943122795 - well-depth: 385.6333050074991 - note: Epsilon & sigma estimated with Tc=500.82 K, Pc=44.39 bar (from Joback method) -- name: HX(16) - composition: - H: 1.0 - X: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 298.0 - - 1000.0 - - 2000.0 - data: - - - -2.0151091 - - 0.0127747196 - - -1.36892852e-05 - - 6.6707688e-09 - - -1.15946694e-12 - - -5530.52906 - - 8.4468689 - - - -0.184968995 - - 0.00605229805 - - -4.83715532e-06 - 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- 9.946777681722443e-13 - - -1928.4407523062412 - - 2.7865704121767267 - - - 4.8654401152953115 - - 0.008678607649074351 - - -3.52235379751616e-06 - - 6.428208524842449e-10 - - -4.3823505606222216e-14 - - -2532.450472801898 - - -5.199902432849851 -- name: C2H2X2(338) - composition: - C: 2.0 - H: 2.0 - X: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 928.3079710467081 - - 5000.0 - data: - - - 3.2450415145241576 - - -0.0021760279300218313 - - 3.9790552303925505e-05 - - -5.1708764158564344e-08 - - 2.0150909315109415e-11 - - 258.438338362114 - - -18.498014463671375 - - - 6.796983480596255 - - 0.002466403401318686 - - 5.716816856572807e-08 - - -2.6685918884386197e-11 - - -1.2197921658526798e-15 - - -1260.5121581118883 - - -39.999189574344115 - sites: 2.0 -- name: CHOX2(110) - composition: - C: 1.0 - H: 1.0 - O: 1.0 - X: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 926.6175561296403 - - 5000.0 - data: - - - 3.832887645817746 - - -0.0016603098100733647 - - 2.6556713897985118e-05 - - -3.486667445898292e-08 - - 1.3687337795243619e-11 - - -30357.121267473056 - - -16.14033456421591 - - - 6.41356232311081 - - 0.0008722938691984814 - - 3.235599313777351e-07 - - -6.874946189041092e-11 - - 2.5989383662306233e-15 - - -31422.36787315482 - - -31.561277079977994 - sites: 2.0 -- name: C#C.[Pt](513) - composition: - C: 2.0 - H: 2.0 - X: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 946.8219136609066 - - 5000.0 - data: - - - 3.0605682811504953 - - 0.007587280945224806 - - 2.1447998330379788e-06 - - -8.078886200693694e-09 - - 3.699535187305503e-12 - - 19021.04086436971 - - -9.523873262329873 - - - 4.940279088514483 - - 0.004787222017554303 - - -1.5639544457516475e-06 - - 2.672761939001556e-10 - - -1.841695486284534e-14 - - 18434.64899528267 - - -19.70659745238856 -- name: C2H3X(88) - composition: - C: 2.0 - H: 3.0 - X: 1.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 938.984342954222 - - 5000.0 - data: - - - 3.816855190619816 - - -0.0049593108119074854 - - 5.145610165712362e-05 - - -6.314880718836221e-08 - - 2.379473554513912e-11 - - 486.18408661810673 - - -15.88279550277611 - - - 6.918140774103931 - - 0.004845631548262949 - - -9.746754689303066e-07 - - 1.809288406885693e-10 - - -1.6711133946479867e-14 - - -1110.8861198152579 - - -36.05241714942668 -- name: C2H3X2(120) - composition: - C: 2.0 - H: 3.0 - X: 2.0 - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: - - 100.0 - - 931.2590940541667 - - 5000.0 - data: - - - 3.838841732956421 - - -0.008209687907563478 - - 6.656228164395793e-05 - - -8.223152517465067e-08 - - 3.138335541616925e-11 - - -3285.263195765613 - - -19.460852187070447 - - - 8.291164052355008 - - 0.0027943034954819776 - - 3.102600442580014e-07 - - -6.343890134318942e-11 - - -1.0080105464031819e-15 - - -5420.926456665365 - - -47.63786342878039 - sites: 2.0 -gas_reactions: -- equation: 2 CH3(9) <=> C2H6(8) - rate-constant: - A: 945000000000.0001 - b: -0.538 - Ea: 565258.4 -- equation: CH4(2) + CO(6) <=> CH3CHO(12) - rate-constant: - A: 65.60000000000001 - b: 2.86 - Ea: 363590000.0000001 -- equation: C2H6(8) + CO(6) <=> C3H6O(13) - rate-constant: - A: 0.538 - b: 3.29 - Ea: 437228000.00000006 -- equation: C2H4(11) + H2O(3) <=> C2H6O(14) - rate-constant: - A: 0.5880000000000001 - b: 2.94 - Ea: 222170000.00000006 -- equation: C2H6(8) + CO2(4) <=> CH3COOCH3(15) - rate-constant: - A: 0.292 - b: 3.13 - Ea: 486722822.00474715 -surface_reactions: -- equation: H2(5) + 2 X(1) <=> 2 HX(16) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.032 - b: 0.0 - Ea: 0.0 -- equation: O2(7) + 2 X(1) <=> 2 OX(17) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.0436 - b: -0.206 - Ea: 1500000.0 -- equation: CO(6) + X(1) <=> COX(19) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.5 - b: 0.0 - Ea: 0.0 -- equation: COX(19) + X(1) <=> CX(18) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1750000000000.0 - b: 0.0 - Ea: 116200000.0 -- equation: 2 COX(19) <=> CO2(4) + CX(18) + X(1) - type: interface-Arrhenius - rate-constant: - A: 16200000000000.0 - b: 0.5 - Ea: 241700000.00000003 -- equation: COX(19) + OX(17) <=> CO2(4) + 2 X(1) - type: interface-Arrhenius - rate-constant: - A: 2.0e+18 - b: 0.0 - Ea: 123600000.00000001 -- equation: CX(18) + HX(16) <=> CHX(20) + X(1) - type: interface-Arrhenius - rate-constant: - A: 1.7e+23 - b: -0.5 - Ea: 157900000.0 -- equation: COX(19) + HX(16) <=> CHX(20) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.26e+19 - b: 0.073 - Ea: 191627199.99999997 -- equation: CHX(20) + HX(16) <=> CH2X(21) + X(1) - type: interface-Arrhenius - rate-constant: - A: 9.77e+23 - b: -0.087 - Ea: 81000000.00000001 -- equation: CX(18) + H2(5) <=> CH2X(21) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.04 - b: 0.0 - Ea: 29700000.0 -- equation: CHX(20) + OX(17) <=> HCOX(22) + X(1) - type: interface-Arrhenius - rate-constant: - A: 4.59e+19 - b: 0.0 - Ea: 109900000.00000001 -- equation: HCOX(22) + X(1) <=> COX(19) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 3.71e+20 - b: 0.0 - Ea: 0.0 -- equation: CH3X(32) + HX(16) <=> CH4(2) + 2 X(1) - type: interface-Arrhenius - rate-constant: - A: 1.44e+21 - b: -0.087 - Ea: 63400000.00000001 -- equation: CH2X(21) + HX(16) <=> CH3X(32) + X(1) - type: interface-Arrhenius - rate-constant: - A: 3.09e+22 - b: -0.087 - Ea: 57200000.0 -- equation: CH3(9) + X(1) <=> CH3X(32) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.16 - b: -0.099 - Ea: 0.0 -- equation: CX(18) + HOX(33) <=> COX(19) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 3.88e+24 - b: 0.188 - Ea: 62500000.0 -- equation: CH3X(32) + HOX(33) <=> CH4(2) + OX(17) + X(1) - type: interface-Arrhenius - rate-constant: - A: 2.98e+21 - b: 0.101 - Ea: 25800000.0 -- equation: CH2X(21) + HOX(33) <=> CH3X(32) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: CHX(20) + HOX(33) <=> CH2X(21) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 4.4e+21 - b: 0.101 - Ea: 42400000.0 -- equation: CX(18) + HOX(33) <=> CHX(20) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 2.43e+20 - b: -0.312 - Ea: 118900000.0 -- equation: HOX(33) + HX(16) <=> H2O(3) + 2 X(1) - type: interface-Arrhenius - rate-constant: - A: 1.85e+19 - b: 0.086 - Ea: 41500000.0 -- equation: HOX(33) + X(1) <=> HX(16) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 2.25e+19 - b: 0.188 - Ea: 29600000.000000004 -- equation: 2 HOX(33) <=> H2O(3) + OX(17) + X(1) - type: interface-Arrhenius - rate-constant: - A: 2.34e+19 - b: 0.274 - Ea: 92300000.00000001 -- equation: HCOX(22) + HOX(33) <=> HOCXO(35) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 2.28e+19 - b: 0.263 - Ea: 15900000.000000002 -- equation: HOCXO(35) + X(1) <=> COX(19) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.46e+23 - b: -0.213 - Ea: 54300000.0 -- equation: HOCXO(35) + X(1) <=> CO2(4) + HX(16) + X(1) - type: interface-Arrhenius - rate-constant: - A: 3.73e+19 - b: 0.475 - Ea: 33600000.0 -- equation: 2 COX(19) <=> CO2X(36) + CX(18) - type: interface-Arrhenius - rate-constant: - A: 16200000000000.0 - b: 0.5 - Ea: 241700000.00000003 -- equation: CO2(4) + X(1) <=> CO2X(36) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.005 - b: 0.0 - Ea: 0.0 -- equation: COX(19) + OX(17) <=> CO2X(36) + X(1) - type: interface-Arrhenius - rate-constant: - A: 3.7e+20 - b: 0.0 - Ea: 117600000.00000001 -- equation: COX(19) + HOX(33) <=> CO2X(36) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.0e+18 - b: 0.0 - Ea: 38700000.0 -- equation: HOCXO(35) + X(1) <=> CO2X(36) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 4.27e+18 - b: 0.549 - Ea: 4184000.0 -- equation: CO2X(36) + HOX(33) <=> HOCXO(35) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 2.15e+18 - b: 0.097 - Ea: 110876000.0 -- equation: CH2COX2(27) <=> CH2X(21) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4220000000000.0 - b: 0.0 - Ea: 104000000.00000001 -- equation: CH2COX(26) + X(1) <=> CH2COX2(27) - type: interface-Arrhenius - rate-constant: - A: 2.0e+20 - b: 0.0 - Ea: 0.0 -- equation: C2H4(11) + X(1) <=> C2H4X(29) - type: sticking-Arrhenius - sticking-coefficient: - A: 7.0e-06 - b: 0.0 - Ea: 0.0 -- equation: C2H4(11) + 2 X(1) <=> C2H4X2(30) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.69 - b: 0.0 - Ea: 0.0 -- equation: 2 CH2X(21) <=> C2H4X2(30) - type: interface-Arrhenius - rate-constant: - A: 9.89e+22 - b: 0.0 - Ea: 154000000.0 -- equation: C2H4X(29) + X(1) <=> C2H4X2(30) - type: interface-Arrhenius - rate-constant: - A: 1.78e+20 - b: 0.0 - Ea: 12000000.0 -- equation: CO2(4) + 2 X(1) <=> OCXOX(34) - type: sticking-Arrhenius - sticking-coefficient: - A: 1.66 - b: 0.0 - Ea: 0.0 -- equation: OCXOX(34) <=> COX(19) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 4220000000000.0 - b: 0.0 - Ea: 133318492.10043974 -- equation: CO2X(36) + X(1) <=> OCXOX(34) - type: interface-Arrhenius - rate-constant: - A: 4.0e+20 - b: 0.0 - Ea: 0.0 -- equation: C2H6(8) + 2 X(1) <=> 2 CH3X(32) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.015 - b: 0.0 - Ea: 23107338.64226449 -- equation: CH3OH(10) + 2 X(1) <=> CH3X(32) + HOX(33) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.015 - b: 0.0 - Ea: 5000000.0 -- equation: CH3OH(10) + 2 X(1) <=> CH3OX(24) + HX(16) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.099 - b: 0.0 - Ea: 76543362.59050444 -- equation: C2H4(11) + 2 X(1) <=> 2 CH2X(21) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.01 - b: 0.0 - Ea: 41840000.00000001 -- equation: CH3CHO(12) + 2 X(1) <=> CH3X(32) + HCOX(22) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.015 - b: 0.0 - Ea: 5000000.0 -- equation: C2H6O(14) + 2 X(1) <=> CH3OX(24) + CH3X(32) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.015 - b: 0.0 - Ea: 10548863.324930396 -- equation: HCOHX(23) + X(1) <=> CHX(20) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.46e+23 - b: -0.213 - Ea: 54300000.00000001 -- equation: HCOHX(23) + X(1) <=> HCOX(22) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 58232049.1536672 -- equation: CH3OX(24) + X(1) <=> CH2X(21) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.46e+23 - b: -0.213 - Ea: 54300000.00000001 -- equation: CH3OX(24) + X(1) <=> HCOHX(23) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 7.42e+20 - b: 0.0 - Ea: 0.0 -- equation: CH3COOX(25) + X(1) <=> CH2X(21) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 152862746.7252149 -- equation: CH3COOX(25) + X(1) <=> CH2COX(26) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.5392202847961747e+20 - b: 0.1314545095819981 - Ea: 76771524.3146206 -- equation: CH2COX(26) + X(1) <=> CH2X(21) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 3.282e+19 - b: 0.0 - Ea: 241213355.90675473 -- equation: CH3COOHX(28) + X(1) <=> CH3X(32) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 142367281.8074835 -- equation: CH3COOHX(28) + X(1) <=> CH3COOX(25) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 2116349673557.9387 - b: 2.0707027167582193 - Ea: 135191101.8241696 -- equation: C2H4X(29) + X(1) <=> 2 CH2X(21) - type: interface-Arrhenius - rate-constant: - A: 3.282e+19 - b: 0.0 - Ea: 241213355.90675473 -- equation: COOHX(31) + X(1) <=> HCOHX(23) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.641e+19 - b: 0.0 - Ea: 241213355.90675473 -- equation: COOHX(31) + X(1) <=> HCOX(22) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.781e+20 - b: 0.0 - Ea: 157271108.0512041 -- equation: HOCXO(35) + HX(16) <=> COOHX(31) + X(1) - type: interface-Arrhenius - rate-constant: - A: 2.308e+21 - b: 0.0 - Ea: 70434299.92477237 -- equation: HOCXO(35) + 2 X(1) <=> HX(16) + OCXOX(34) - type: interface-Arrhenius - rate-constant: - A: 1.8566666666666664e+27 - b: 0.0 - Ea: 46000000.00000001 -- equation: CH2X(21) + COOHX(31) <=> CH3COOX(25) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: HCOX(22) + OX(17) <=> COX(19) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 3.298e+20 - b: 0.0 - Ea: 0.0 -- equation: HCOHX(23) + OX(17) <=> HCOX(22) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 0.0 -- equation: HCOHX(23) + HOX(33) <=> CH3OX(24) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: CH2COX2(27) + OX(17) <=> CH2X(21) + OCXOX(34) - type: interface-Arrhenius - rate-constant: - A: 3.298e+20 - b: 0.0 - Ea: 0.0 -- equation: CH3COOHX(28) + OX(17) <=> CH3COOX(25) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 4.215e+23 - b: -0.101 - Ea: 92700000.00000001 -- equation: COOHX(31) + OX(17) <=> HOCXO(35) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.405e+23 - b: -0.101 - Ea: 92700000.00000001 -- equation: CH2X(21) + CX(18) <=> 2 CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 64390227.63121586 -- equation: CX(18) + HCOX(22) <=> CHX(20) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 36249036.34728507 -- equation: CX(18) + HCOHX(23) <=> CHX(20) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 24052724.51607596 -- equation: CH3OX(24) + CX(18) <=> CHX(20) + HCOHX(23) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 37291008.396549925 -- equation: CH3COOHX(28) + CX(18) <=> CH3COOX(25) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: COOHX(31) + CX(18) <=> CHX(20) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH3X(32) + CX(18) <=> CH2X(21) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 9.894e+20 - b: 0.0 - Ea: 0.0 -- equation: CHX(20) + HCOX(22) <=> CH2X(21) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 71158808.71606924 -- equation: CHX(20) + HOCXO(35) <=> COX(19) + HCOHX(23) - type: interface-Arrhenius - rate-constant: - A: 4.4e+21 - b: 0.101 - Ea: 42400000.0 -- equation: COX(19) + HCOHX(23) <=> 2 HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 184236253.79594633 -- equation: CH2X(21) + HOCXO(35) <=> CH3OX(24) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: HCOHX(23) + HCOX(22) <=> CH3OX(24) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 60967019.55418524 -- equation: CH3COOX(25) + COX(19) <=> CH2COX(26) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 257841657.858039 -- equation: CH3COOHX(28) + COX(19) <=> CH3COOX(25) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH2COX2(27) + CH2X(21) <=> C2H4X2(30) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH2X(21) + HCOX(22) <=> CH3X(32) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 55966956.128033236 -- equation: COX(19) + HOCXO(35) <=> CO2X(36) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 167509689.74174654 -- equation: CHX(20) + HCOHX(23) <=> CH2X(21) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 112742416.48001407 -- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 89108210.838116 - duplicate: true -- equation: CH3COOHX(28) + CHX(20) <=> CH2X(21) + CH3COOX(25) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CHX(20) + COOHX(31) <=> HCOHX(23) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 2.3606654387125515e+20 - b: -0.07441820738726125 - Ea: 118482473.58896875 -- equation: CHX(20) + COOHX(31) <=> CH2X(21) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: 2 CH2X(21) <=> CH3X(32) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 84108147.41196401 -- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: CH2X(21) + HCOHX(23) <=> CH3OX(24) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 89108210.838116 - duplicate: true -- equation: CH2X(21) + HCOHX(23) <=> CH3X(32) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 74146899.09419289 -- equation: CH2X(21) + CH3OX(24) <=> CH3X(32) + HCOHX(23) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 47149968.286924005 -- equation: CH2X(21) + CH3COOX(25) <=> CH2COX(26) + CH3OX(24) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 227644252.94263765 -- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH2X(21) + COOHX(31) <=> CH3OX(24) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH2X(21) + COOHX(31) <=> CH3X(32) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH2X(21) + HOCXO(35) <=> CH3X(32) + CO2X(36) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 57420335.03999308 -- equation: 2 HCOHX(23) <=> CH3OX(24) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 86849762.93360609 -- equation: CH3COOX(25) + HCOX(22) <=> CH2COX(26) + COOHX(31) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 130858280.6458121 -- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: COOHX(31) + COX(19) <=> HCOX(22) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH3COOHX(28) + HCOHX(23) <=> CH3COOX(25) + CH3OX(24) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: COOHX(31) + HCOHX(23) <=> CH3OX(24) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: HCOHX(23) + HOCXO(35) <=> CH3OX(24) + CO2X(36) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 70123198.87940632 -- equation: CH3COOHX(28) + HOCXO(35) <=> CH3COOX(25) + COOHX(31) - type: interface-Arrhenius - rate-constant: - A: 1.254e+21 - b: 0.0 - Ea: 131383021.93699808 -- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH2X(21) + CH3COOHX(28) <=> CH3COOX(25) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 - duplicate: true -- equation: CH3COOX(25) + HOCXO(35) <=> CH3COOHX(28) + CO2X(36) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 64004883.585984856 -- equation: 2 HOCXO(35) <=> CO2X(36) + COOHX(31) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 65511750.51913242 -- equation: CH4(2) + HOX(33) + X(1) <=> CH3X(32) + H2OX(43) - type: sticking-Arrhenius - sticking-coefficient: - A: 1.0 - b: 0.0 - Ea: 10000000.0 -- equation: H2O(3) + X(1) <=> H2OX(43) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.75 - b: 0.0 - Ea: 0.0 -- equation: H2OX(43) + X(1) <=> HOX(33) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.15e+18 - b: 0.0 - Ea: 101400000.00000001 -- equation: H2OX(43) + OX(17) <=> 2 HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.0e+19 - b: 0.0 - Ea: 90500000.0 -- equation: COX(19) + H2OX(43) <=> HOCXO(35) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 4.43e+18 - b: 0.492 - Ea: 99160800.0 -- equation: CO2X(36) + H2OX(43) <=> HOCXO(35) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 3.48e+18 - b: -0.031 - Ea: 91434774.13589227 -- equation: CH2X(21) + H2OX(43) <=> CH3X(32) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 3.3e+18 - b: 0.099 - Ea: 58994400.00000001 -- equation: CHX(20) + H2OX(43) <=> CH2X(21) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 7.29e+18 - b: 0.269 - Ea: 142256000.0 -- equation: CX(18) + H2OX(43) <=> CHX(20) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 4.19e+18 - b: 0.09 - Ea: 65270400.00000001 -- equation: CHX(20) + H2OX(43) <=> HCOHX(23) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 7.932727848443955e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH2X(21) + H2OX(43) <=> CH3OX(24) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 7.932727848443955e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: HCOX(22) + HOX(33) <=> COX(19) + H2OX(43) - type: interface-Arrhenius - rate-constant: - A: 3.261e+20 - b: 0.0 - Ea: 28945602.70881056 -- equation: H2OX(43) + HCOHX(23) <=> CH3OX(24) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 7.932727848443955e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH3COOHX(28) + HOX(33) <=> CH3COOX(25) + H2OX(43) - type: interface-Arrhenius - rate-constant: - A: 1.254e+21 - b: 0.0 - Ea: 109509900.89857398 -- equation: COOHX(31) + HOX(33) <=> H2OX(43) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 107426878.96157578 -- equation: CH4(2) + X(1) <=> C.[Pt](84) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.008 - b: 0.0 - Ea: 0.0 -- equation: C.[Pt](84) + X(1) <=> CH3X(32) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.54e+20 - b: 0.087 - Ea: 55800000.000000015 -- equation: C.[Pt](84) + CX(18) <=> CH3X(32) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C.[Pt](84) + CHX(20) <=> CH2X(21) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C.[Pt](84) + COX(19) <=> CH3X(32) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 160116599.8927413 -- equation: C.[Pt](84) + HCOHX(23) <=> CH3OX(24) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH3COOHX(28) + CH3X(32) <=> C.[Pt](84) + CH3COOX(25) - type: interface-Arrhenius - rate-constant: - A: 1.254e+21 - b: 0.0 - Ea: 80600444.07764292 -- equation: CH3X(32) + COOHX(31) <=> C.[Pt](84) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 78517422.1406448 -- equation: C.[Pt](84) + CH2X(21) <=> 2 CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C.[Pt](84) + OX(17) <=> CH3X(32) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 5.62e+23 - b: -0.101 - Ea: 92700000.00000001 -- equation: CH3X(32) + HOCXO(35) <=> C.[Pt](84) + CO2X(36) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 28775417.599598866 -- equation: CH3X(32) + H2OX(43) <=> C.[Pt](84) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 100390543.17906903 -- equation: CH3COOHX(28) + CX(18) <=> CC#[Pt](307) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 2.3606654387125515e+20 - b: -0.07441820738726125 - Ea: 118482473.58896875 -- equation: CC#[Pt](307) + X(1) <=> CH3X(32) + CX(18) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 197242288.50492182 -- equation: C.[Pt](84) + CX(18) <=> CC#[Pt](307) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H2X2(338) <=> 2 CHX(20) - type: interface-Arrhenius - rate-constant: - A: 7930000000000.0 - b: 0.0 - Ea: 90000000.00000001 -- equation: HCOX(22) + X(1) <=> CHOX2(110) - type: interface-Arrhenius - rate-constant: - A: 1.0e+20 - b: 0.0 - Ea: 0.0 -- equation: HCOHX(23) + 2 X(1) <=> CHOX2(110) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.8566666666666664e+27 - b: 0.0 - Ea: 46000000.00000001 -- equation: CHX(20) + OX(17) <=> CHOX2(110) - type: interface-Arrhenius - rate-constant: - A: 6.54e+20 - b: 0.0 - Ea: 142000000.0 -- equation: CHOX2(110) + COX(19) <=> CHX(20) + OCXOX(34) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: C2H2X2(338) + OX(17) <=> CHOX2(110) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 6.596e+20 - b: 0.0 - Ea: 0.0 -- equation: C#C.[Pt](513) + X(1) <=> C2H2X2(338) - type: interface-Arrhenius - rate-constant: - A: 1.0e+20 - b: 0.0 - Ea: 0.0 -- equation: C2H4(11) + 2 X(1) <=> C2H3X(88) + HX(16) - type: sticking-Arrhenius - sticking-coefficient: - A: 0.1 - b: 0.0 - Ea: 49942316.1792833 -- equation: C2H4X(29) + X(1) <=> C2H3X(88) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 10479056557881.693 - b: 1.6009912295246733 - Ea: 79448444.9235931 -- equation: C2H4X(29) + OX(17) <=> C2H3X(88) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 5.62e+23 - b: -0.101 - Ea: 92700000.00000001 -- equation: C2H4X(29) + CX(18) <=> C2H3X(88) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H4X(29) + COX(19) <=> C2H3X(88) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H3X(88) + X(1) <=> CH2X(21) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 145637492.82208303 -- equation: C2H4X(29) + CHX(20) <=> C2H3X(88) + CH2X(21) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H4X(29) + CH2X(21) <=> C2H3X(88) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H4X(29) + HCOHX(23) <=> C2H3X(88) + CH3OX(24) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H4X(29) + CH3COOX(25) <=> C2H3X(88) + CH3COOHX(28) - type: interface-Arrhenius - rate-constant: - A: 1.672e+21 - b: 0.0 - Ea: 135491449.11999902 -- equation: C2H4X(29) + CH3X(32) <=> C.[Pt](84) + C2H3X(88) - type: interface-Arrhenius - rate-constant: - A: 1.672e+21 - b: 0.0 - Ea: 86791893.19764192 -- equation: C2H4X(29) + HOX(33) <=> C2H3X(88) + H2OX(43) - type: interface-Arrhenius - rate-constant: - A: 1.672e+21 - b: 0.0 - Ea: 115701350.01857296 -- equation: C2H4X(29) + HOCXO(35) <=> C2H3X(88) + COOHX(31) - type: interface-Arrhenius - rate-constant: - A: 1.672e+21 - b: 0.0 - Ea: 137574471.05699712 -- equation: C2H3X(88) + HOCXO(35) <=> C2H4X(29) + CO2X(36) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 59525962.94598559 -- equation: C2H3X(88) + 2 X(1) <=> C2H2X2(338) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 1.8566666666666664e+27 - b: 0.0 - Ea: 46000000.00000001 -- equation: C2H3X(88) + CH3COOX(25) <=> C#C.[Pt](513) + CH3COOHX(28) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 188214833.61283815 -- equation: 2 C2H3X(88) <=> C#C.[Pt](513) + C2H4X(29) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 183735912.9728388 -- equation: C2H3X(88) + HOCXO(35) <=> C#C.[Pt](513) + COOHX(31) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 189721700.54598567 -- equation: C2H3X(88) + HOX(33) <=> C#C.[Pt](513) + H2OX(43) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 173898591.70967877 -- equation: C2H3X(88) + CH3X(32) <=> C#C.[Pt](513) + C.[Pt](84) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 152985367.6264521 -- equation: C2H4X2(30) + X(1) <=> C2H3X2(120) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 2.225e+20 - b: 0.0 - Ea: 59000000.00000001 -- equation: C2H3X2(120) + HOX(33) <=> C2H4X2(30) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: C2H4X2(30) + CX(18) <=> C2H3X2(120) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.4851607320421568e+21 - b: 0.0 - Ea: 39186738.0315976 -- equation: C2H3X2(120) + HCOX(22) <=> C2H4X2(30) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 57175560.28408988 -- equation: C2H3X2(120) <=> CH2X(21) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 27400000000000.0 - b: 0.0 - Ea: 140000000.00000003 -- equation: CH2COX2(27) + CHX(20) <=> C2H3X2(120) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 4.4e+21 - b: 0.101 - Ea: 42400000.0 -- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 85316751.56802069 - duplicate: true -- equation: C2H4X2(30) + CH2X(21) <=> C2H3X2(120) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.4851607320421568e+21 - b: 0.0 - Ea: 49045697.92197167 -- equation: C2H3X2(120) + HCOHX(23) <=> C2H4X2(30) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 4.18e+20 - b: 0.0 - Ea: 77217406.95012063 -- equation: C2H3X2(120) + CH3OX(24) <=> C2H4X2(30) + HCOHX(23) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 47754270.364952326 -- equation: C2H3X2(120) + CH3COOHX(28) <=> C2H4X2(30) + CH3COOX(25) - type: interface-Arrhenius - rate-constant: - A: 1.1899091772665933e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C.[Pt](84) + C2H3X2(120) <=> C2H4X2(30) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H3X2(120) + H2OX(43) <=> C2H4X2(30) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 7.932727848443955e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H3X2(120) + COOHX(31) <=> C2H4X2(30) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 3.9663639242219776e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H3X2(120) + X(1) <=> C2H2X2(338) + HX(16) - type: interface-Arrhenius - rate-constant: - A: 4.7500000000000007e+20 - b: 0.0 - Ea: 72000000.0 -- equation: C2H3X2(120) + CX(18) <=> C2H2X2(338) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 61189750.20487869 - duplicate: true -- equation: C2H3X2(120) + CHX(20) <=> C2H2X2(338) + CH2X(21) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 149879442.16881678 - duplicate: true -- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 2.78e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: C2H3X2(120) + COX(19) <=> C2H2X2(338) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 221373279.48474905 - duplicate: true -- equation: C2H2X2(338) + HCOHX(23) <=> C2H3X2(120) + HCOX(22) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 92162974.31119731 -- equation: C2H3X2(120) + HCOHX(23) <=> C2H2X2(338) + CH3OX(24) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 123986788.6224088 - duplicate: true -- equation: C2H2X2(338) + CH3COOHX(28) <=> C2H3X2(120) + CH3COOX(25) - type: interface-Arrhenius - rate-constant: - A: 2.3798183545331866e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H2X2(338) + C2H4X(29) <=> C2H3X(88) + C2H3X2(120) - type: interface-Arrhenius - rate-constant: - A: 3.173091139377582e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: 2 C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 114354432.63892333 - duplicate: true -- equation: C2H2X2(338) + COOHX(31) <=> C2H3X2(120) + HOCXO(35) - type: interface-Arrhenius - rate-constant: - A: 7.932727848443955e+17 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H3X2(120) + CH2X(21) <=> C2H2X2(338) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 111283924.7829956 - duplicate: true -- equation: C2H3X2(120) + OX(17) <=> C2H2X2(338) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 140986479.30347368 - duplicate: true -- equation: C2H2X2(338) + H2OX(43) <=> C2H3X2(120) + HOX(33) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C.[Pt](84) + C2H2X2(338) <=> C2H3X2(120) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 3.173091139377582e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: CH2X(21) + CHOX2(110) <=> C2H3X2(120) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 -- equation: C2H3X(88) + X(1) <=> C2H3X2(120) - type: interface-Arrhenius - rate-constant: - A: 7.15e+19 - b: 0.0 - Ea: 3000000.0 -- equation: C2H3X2(120) + C2H4X(29) <=> C2H3X(88) + C2H4X2(30) - type: interface-Arrhenius - rate-constant: - A: 1.586545569688791e+18 - b: -0.047836414774522495 - Ea: 144264947.1779375 -- equation: C2H2X2(338) + HOX(33) <=> C2H3X2(120) + OX(17) - type: interface-Arrhenius - rate-constant: - A: 2.78e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: C2H3X2(120) + CX(18) <=> C2H2X2(338) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 36245323.178619735 - duplicate: true -- equation: C2H2X2(338) + HCOX(22) <=> C2H3X2(120) + COX(19) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 63058389.99004559 - duplicate: true -- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 2.78e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: C2H2X2(338) + CH2X(21) <=> C2H3X2(120) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.672e+21 - b: 0.0 - Ea: 91199581.2739764 - duplicate: true -- equation: C2H3X2(120) + CH2X(21) <=> C2H2X2(338) + CH3X(32) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 46104283.068993814 - duplicate: true -- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 1.39e+20 - b: 0.101 - Ea: 19000000.0 - duplicate: true -- equation: C2H3X2(120) + CH2X(21) <=> C2H4X2(30) + CHX(20) - type: interface-Arrhenius - rate-constant: - A: 8.36e+20 - b: 0.0 - Ea: 85316751.56802069 - duplicate: true -- equation: C2H2X2(338) + CH3OX(24) <=> C2H3X2(120) + HCOHX(23) - type: interface-Arrhenius - rate-constant: - A: 1.4851607320421568e+21 - b: 0.0 - Ea: 50695685.21793019 - duplicate: true -- equation: 2 C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) - type: interface-Arrhenius - rate-constant: - A: 7.425803660210784e+20 - b: 0.0 - Ea: 46708585.147022136 - duplicate: true diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml deleted file mode 100644 index c1fd72df891..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem0047-gas.yaml +++ /dev/null @@ -1,1117 +0,0 @@ -generator: ck2yaml -input-files: [chem0047-gas.inp, chem0047-surface.inp, tran.dat] -cantera-version: 3.2.0a1 -date: Fri, 21 Feb 2025 07:38:38 -0500 - -units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} - -phases: -- name: gas - thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, - X] - species: [Ar, Ne, N2, CH4(2), H2O(3), CO2(4), H2(5), CO(6), O2(7), C2H6(8), - CH3(9), CH3OH(10), C2H4(11), CH3CHO(12), C3H6O(13), C2H6O(14), CH3COOCH3(15)] - kinetics: gas - reactions: - - gas-reactions - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} -- name: site0 - thermo: ideal-surface - adjacent-phases: [gas] - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, - X] - species: [X(1), HX(16), OX(17), CX(18), COX(19), CHX(20), CH2X(21), HCOX(22), - HCOHX(23), CH3OX(24), CH3COOX(25), CH2COX(26), CH2COX2(27), CH3COOHX(28), - C2H4X(29), C2H4X2(30), COOHX(31), CH3X(32), HOX(33), OCXOX(34), HOCXO(35), - CO2X(36), H2OX(43), 'C.[Pt](84)', C2H3X(88), CHOX2(110), C2H3X2(120), - 'CC#[Pt](307)', C2H2X2(338), 'C#C.[Pt](513)'] - site-density: 3.148e-09 - kinetics: surface - reactions: - - site0-reactions - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -- symbol: X - atomic-weight: 195.083 - -species: -- name: Ar - composition: {Ar: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - transport: - model: gas - geometry: atom - well-depth: 136.501 - diameter: 3.33 - note: GRI-Mech -- name: Ne - composition: {Ne: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - transport: - model: gas - geometry: atom - well-depth: 148.6 - diameter: 3.758 - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. - This is the fallback method! Try improving transport databases! -- name: N2 - composition: {N: 2} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, - 2.96747] - - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, - 5.87189] - transport: - model: gas - geometry: linear - well-depth: 97.53 - diameter: 3.621 - polarizability: 1.76 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: CH4(2) - composition: {C: 1, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1084.12, 5000.0] - data: - - [4.2054162, -5.35558463e-03, 2.51123636e-05, -2.13763299e-08, 5.97525767e-12, - -1.01619433e+04, -0.921282727] - - [0.908260213, 0.0114540949, -4.57174339e-06, 8.2919286e-10, -5.66315868e-14, - -9719.97202, 13.9931256] - transport: - model: gas - geometry: nonlinear - well-depth: 141.4 - diameter: 3.746 - polarizability: 2.6 - rotational-relaxation: 13.0 - note: GRI-Mech -- name: H2O(3) - composition: {H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1130.24, 5000.0] - data: - - [4.05763622, -7.87940252e-04, 2.90878932e-06, -1.47520578e-09, 2.12849596e-13, - -3.02815867e+04, -0.31136547] - - [2.84324781, 2.75108975e-03, -7.81033883e-07, 1.07244192e-10, -5.79396739e-15, - -2.99586116e+04, 5.91043491] - transport: - model: gas - geometry: nonlinear - well-depth: 572.402 - diameter: 2.605 - dipole: 1.844 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: CO2(4) - composition: {C: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 978.22, 5000.0] - data: - - [3.28084424, 2.50186e-03, 8.08190844e-06, -1.20510196e-08, 4.66541928e-12, - -4.84008303e+04, 6.00081544] - - [4.67427528, 2.60962688e-03, -9.85682082e-07, 1.95712015e-10, -1.49834714e-14, - -4.89512173e+04, -2.11078032] - transport: - model: gas - geometry: linear - well-depth: 244.001 - diameter: 3.763 - polarizability: 2.65 - rotational-relaxation: 2.1 - note: GRI-Mech -- name: H2(5) - composition: {H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1959.08, 5000.0] - data: - - [3.43536434, 2.12708431e-04, -2.78620683e-07, 3.40263746e-10, -7.76023528e-14, - -1031.35985, -3.90841817] - - [2.78814269, 5.87671008e-04, 1.58996341e-07, -5.52710777e-11, 4.34290394e-15, - -596.130615, 0.112869836] - transport: - model: gas - geometry: linear - well-depth: 38.0 - diameter: 2.92 - polarizability: 0.79 - rotational-relaxation: 280.0 - note: GRI-Mech -- name: CO(6) - composition: {C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1571.66, 5000.0] - data: - - [3.568379, -8.52116139e-04, 2.48915308e-06, -1.56328741e-09, 3.13588507e-13, - -1.42842549e+04, 3.57912548] - - [2.91309589, 1.64653676e-03, -6.88594068e-07, 1.21032927e-10, -7.83984059e-15, - -1.41808999e+04, 6.71028742] - transport: - model: gas - geometry: linear - well-depth: 98.1 - diameter: 3.65 - polarizability: 1.95 - rotational-relaxation: 1.8 - note: GRI-Mech -- name: O2(7) - composition: {O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1074.56, 5000.0] - data: - - [3.5373218, -1.21570921e-03, 5.31617794e-06, -4.89443384e-09, 1.45845027e-12, - -1038.58846, 4.68368409] - - [3.15382429, 1.67803794e-03, -7.6997098e-07, 1.51274704e-10, -1.08781793e-14, - -1040.8188, 6.16753859] - transport: - model: gas - geometry: linear - well-depth: 107.4 - diameter: 3.458 - polarizability: 1.6 - rotational-relaxation: 3.8 - note: GRI-Mech -- name: C2H6(8) - composition: {C: 2, H: 6} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1012.41, 5000.0] - data: - - [3.72240272, 1.65072169e-03, 3.44179642e-05, -3.76863565e-08, 1.24452922e-11, - -1.15575906e+04, 4.68244489] - - [2.82844025, 0.0173041283, -6.73338349e-06, 1.23742991e-09, -8.65684403e-14, - -1.19977901e+04, 5.93835568] - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: CH3(9) - composition: {C: 1, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 697.65, 5000.0] - data: - - [3.96043159, 5.92932552e-04, 8.78578091e-06, -9.88034326e-09, 3.63236374e-12, - 1.64218817e+04, 0.339863476] - - [3.09511244, 5.55429753e-03, -1.88158775e-06, 3.13334801e-10, -2.05194992e-14, - 1.6542619e+04, 4.20297572] - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech -- name: CH3OH(10) - composition: {C: 1, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1035.74, 5000.0] - data: - - [3.84006783, 1.38235301e-03, 1.91669514e-05, -2.01571623e-08, 6.39114598e-12, - -2.5608309e+04, 5.90976096] - - [2.79181596, 0.0115828305, -4.51554511e-06, 8.21212761e-10, -5.67068242e-14, - -2.57211558e+04, 9.41076841] - transport: - model: gas - geometry: nonlinear - well-depth: 481.802 - diameter: 3.626 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: C2H4(11) - composition: {C: 2, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 979.36, 5000.0] - data: - - [3.97470128, -4.75826421e-03, 4.16777338e-05, -4.51383953e-08, 1.54221026e-11, - 4915.40809, 3.62436113] - - [3.55666159, 0.0110626515, -4.17013587e-06, 7.85573759e-10, -5.70050015e-14, - 4320.44172, 2.17688265] - transport: - model: gas - geometry: nonlinear - well-depth: 280.801 - diameter: 3.971 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: CH3CHO(12) - composition: {C: 2, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1028.8, 5000.0] - data: - - [3.57992942, 5.18977048e-03, 2.26899736e-05, -2.73745515e-08, 9.28491703e-12, - -2.13697376e+04, 8.96969617] - - [4.08561394, 0.0139061616, -5.59372584e-06, 1.0460983e-09, -7.38743189e-14, - -2.20391238e+04, 3.76815598] - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: C3H6O(13) - composition: {C: 3, H: 6, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1023.95, 5000.0] - data: - - [3.0114016, 0.0154683797, 2.15009892e-05, -3.24611554e-08, 1.17874118e-11, - -2.78712432e+04, 13.2203279] - - [5.79591807, 0.0200763349, -7.93430225e-06, 1.47305067e-09, -1.03775439e-13, - -2.92532887e+04, -4.24334634] - transport: - model: gas - geometry: nonlinear - well-depth: 385.407 - diameter: 5.33 - note: Epsilon & sigma estimated with Tc=500.53 K, Pc=48.02 bar (from - Joback method) -- name: C2H6O(14) - composition: {C: 2, H: 6, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.0, 5000.0] - data: - - [3.24025953, 0.0104859578, 2.63967696e-05, -3.69293568e-08, 1.36710598e-11, - -2.99902844e+04, 11.1433019] - - [5.68494153, 0.016131329, -5.96365742e-06, 1.08897208e-09, -7.69620903e-14, - -3.12258211e+04, -4.44489193] - transport: - model: gas - geometry: nonlinear - well-depth: 362.6 - diameter: 4.53 - rotational-relaxation: 1.5 - note: NOx2018 -- name: CH3COOCH3(15) - composition: {C: 3, H: 6, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1154.01, 5000.0] - data: - - [2.75062207, 0.0220813071, 1.21742176e-05, -2.19214056e-08, 7.33620226e-12, - -5.11793699e+04, 16.5002438] - - [5.62526438, 0.0261099804, -1.12500953e-05, 2.11765104e-09, -1.47683111e-13, - -5.27745799e+04, -1.8169542] - transport: - model: gas - geometry: nonlinear - well-depth: 385.633 - diameter: 5.473 - note: Epsilon & sigma estimated with Tc=500.82 K, Pc=44.39 bar (from - Joback method) -- name: X(1) - composition: {X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 2000.0] - data: - - [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] -- name: HX(16) - composition: {H: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [-2.0151091, 0.0127747196, -1.36892852e-05, 6.6707688e-09, -1.15946694e-12, - -5530.52906, 8.4468689] - - [-0.184968995, 6.05229805e-03, -4.83715532e-06, 1.81340221e-09, -2.61948776e-13, - -5915.33033, -0.504191778] -- name: OX(17) - composition: {O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [0.195855852, 0.0116923252, -2.02271203e-05, 1.61601691e-08, -4.90070914e-12, - -2.69189243e+04, -2.01768707] - - [2.9043837, -2.74871763e-04, 5.38558858e-07, -3.03946989e-10, 5.63969783e-14, - -2.74411389e+04, -14.894415] -- name: CX(18) - composition: {C: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [-0.573265619, 0.0144803183, -2.45704673e-05, 1.93668551e-08, -5.81642502e-12, - 1.47661073e+04, 1.2024425] - - [2.71617577, 1.99967762e-05, 3.4803163e-07, -2.47205634e-10, 5.00169813e-14, - 1.41308872e+04, -14.4477318] -- name: COX(19) - composition: {C: 1, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [3.13851368, 7.37719433e-03, -1.21673211e-05, 1.06231734e-08, -3.55085256e-12, - -3.01011015e+04, -14.0684039] - - [4.39015575, 1.21423223e-03, 2.26543548e-08, -2.74772156e-10, 6.84375847e-14, - -3.03339593e+04, -19.9186406] -- name: CHX(20) - composition: {C: 1, H: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [0.444067538, 7.15965809e-03, -6.05381899e-06, 4.41670377e-09, -1.57758787e-12, - 2484.09325, -2.97930741] - - [0.470984781, 6.44724983e-03, -3.18677769e-06, 7.11925015e-10, -5.43593812e-14, - 2479.24869, -3.03223839] -- name: CH2X(21) - composition: {C: 1, H: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [-0.719249342, 0.0165071735, -1.7499851e-05, 1.09676908e-08, -2.88981251e-12, - 1684.1105, 2.01831094] - - [0.983780574, 8.78623452e-03, -4.38766259e-06, 1.09400822e-09, -1.10409266e-13, - 1383.36061, -5.98458146] -- name: HCOX(22) - composition: {C: 1, H: 1, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [1.67902911, 0.0139424587, -1.51013698e-05, 9.67718274e-09, -2.69733533e-12, - -2.16030349e+04, -8.23427981] - - [3.03186697, 8.02892147e-03, -4.79702422e-06, 1.39761897e-09, -1.61417712e-13, - -2.18711786e+04, -14.692113] -- name: HCOHX(23) - composition: {C: 1, H: 2, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [4.61466774, 1.97736658e-03, 1.13520606e-05, -1.28686112e-08, 4.2885424e-12, - -2.08405084e+04, -18.3405542] - - [2.12897595, 0.0131031973, -8.04327296e-06, 2.48752777e-09, -3.12401921e-13, - -2.03714667e+04, -6.56664446] -- name: CH3OX(24) - composition: {C: 1, H: 3, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [1.7232417, 0.0246490814, -2.80859624e-05, 1.72678472e-08, -4.26645223e-12, - -2.48262518e+04, -8.86801544] - - [5.35800551, 9.63360342e-03, -4.83501645e-06, 1.27341188e-09, -1.42248592e-13, - -2.55298238e+04, -26.2856418] -- name: CH3COOX(25) - composition: {C: 2, H: 3, O: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.45, 5000.0] - data: - - [3.02828539, 0.0110970672, 3.41082297e-05, -5.16093316e-08, 1.99821439e-11, - -5.45206963e+04, -8.73048049] - - [9.44448672, 0.0106736832, -4.32452634e-06, 8.80622118e-10, -6.79718867e-14, - -5.70267527e+04, -45.8963898] -- name: CH2COX(26) - composition: {C: 2, H: 2, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 961.81, 5000.0] - data: - - [3.22979879, 0.0140344939, -3.56351755e-06, -6.07820031e-09, 3.58358908e-12, - -1.63752671e+04, -9.06405904] - - [6.75419818, 6.25332972e-03, -2.15210043e-06, 3.76495412e-10, -2.61805748e-14, - -1.73712808e+04, -27.5834188] -- name: CH2COX2(27) - composition: {C: 2, H: 2, O: 1, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.96, 5000.0] - data: - - [3.26076086, 8.7928684e-03, 2.17502605e-05, -3.77663092e-08, 1.60291613e-11, - -2.76935704e+04, -15.9429794] - - [8.93173327, 3.51833532e-03, -4.46393644e-07, 6.27459976e-11, -6.93713499e-15, - -2.95785579e+04, -47.3445934] - sites: 2.0 -- name: CH3COOHX(28) - composition: {C: 2, H: 4, O: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1048.69, 5000.0] - data: - - [2.87239041, 0.0186927828, 1.0088838e-05, -2.2522588e-08, 8.70045824e-12, - -5.86586621e+04, -3.00900633] - - [7.28794498, 0.0162041238, -6.88201857e-06, 1.31748685e-09, -9.41982125e-14, - -6.03740403e+04, -28.2845346] -- name: C2H4X(29) - composition: {C: 2, H: 4, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 976.84, 5000.0] - data: - - [3.68521618, 1.29459688e-03, 3.31761373e-05, -3.98904869e-08, 1.42375526e-11, - -4431.57003, -13.4989988] - - [4.82101323, 0.0111302021, -4.17185101e-06, 7.79847051e-10, -5.63879306e-14, - -5344.63674, -22.4897119] -- name: C2H4X2(30) - composition: {C: 2, H: 4, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 945.14, 5000.0] - data: - - [3.75453554, -5.06560113e-03, 6.10124816e-05, -7.41721149e-08, 2.76310662e-11, - -8730.58083, -18.7893661] - - [7.0112633, 7.95379231e-03, -2.18738926e-06, 4.10888303e-10, -3.33917238e-14, - -1.05433116e+04, -40.6504605] - sites: 2.0 -- name: COOHX(31) - composition: {C: 1, H: 2, O: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1005.04, 5000.0] - data: - - [3.53006779, 4.5594231e-03, 2.37656598e-05, -3.19406145e-08, 1.16843843e-11, - -5.57122182e+04, -7.0212104] - - [6.30081585, 8.20615627e-03, -3.57786011e-06, 7.24341931e-10, -5.45315781e-14, - -5.70102822e+04, -24.089423] -- name: CH3X(32) - composition: {C: 1, H: 3, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [-0.552219087, 0.0264420133, -3.55617257e-05, 2.60043628e-08, -7.52706787e-12, - -4433.46585, 0.692144274] - - [3.62557353, 7.39511955e-03, -2.43797398e-06, 1.86159414e-10, 3.64849549e-14, - -5187.22188, -18.9668272] -- name: HOX(33) - composition: {H: 1, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [1.58477686, 3.87867982e-03, 1.34107764e-06, -3.93949585e-09, 1.68540254e-12, - -2.90977259e+04, -7.42452379] - - [1.42377797, 5.57119676e-03, -3.3929338e-06, 1.09513419e-09, -1.46734126e-13, - -2.90972119e+04, -6.85806991] -- name: OCXOX(34) - composition: {C: 1, O: 2, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 924.81, 5000.0] - data: - - [2.99016038, 3.95026566e-03, 2.32709252e-05, -3.78809105e-08, 1.60937226e-11, - -7.26325759e+04, -13.5698649] - - [8.52643192, -1.29139803e-03, 1.43612907e-06, -2.72457525e-10, 1.56499624e-14, - -7.44564313e+04, -44.1708301] - sites: 2.0 -- name: HOCXO(35) - composition: {C: 1, H: 1, O: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [298.0, 1000.0, 2000.0] - data: - - [0.700750147, 0.0322756606, -4.70618414e-05, 3.45557357e-08, -1.00331658e-11, - -5.18553737e+04, -4.52637913] - - [6.47849692, 7.149868e-03, -4.22981914e-06, 1.15767979e-09, -1.19086295e-13, - -5.29808669e+04, -32.0736929] -- name: CO2X(36) - composition: {C: 1, O: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1008.22, 5000.0] - data: - - [2.99486686, 9.1859654e-03, -4.12216169e-06, -1.93581616e-09, 1.52889555e-12, - -5.52644684e+04, -8.95864383] - - [5.5544293, 3.15500565e-03, -1.28472914e-06, 2.44776789e-10, -1.77304007e-14, - -5.59901848e+04, -22.3674392] -- name: H2OX(43) - composition: {H: 2, O: 1, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 992.64, 5000.0] - data: - - [3.76908588, 6.11563654e-03, -9.97117455e-06, 9.22181366e-09, -3.06918553e-12, - -3.63110221e+04, -15.097954] - - [3.72684086, 3.24910958e-03, -1.05058226e-06, 1.4868916e-10, -7.88009793e-15, - -3.61530243e+04, -14.1408565] -- name: C.[Pt](84) - composition: {C: 1, H: 4, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1348.93, 5000.0] - data: - - [3.88778247, 2.73614901e-03, 9.4539386e-06, -8.27597758e-09, 2.02464154e-12, - -1.52760571e+04, -16.0790121] - - [2.18944665, 0.0116179596, -4.69896427e-06, 8.32126369e-10, -5.50758229e-14, - -1.51677557e+04, -8.67409218] -- name: C2H3X(88) - composition: {C: 2, H: 3, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 938.98, 5000.0] - data: - - [3.81685519, -4.95931081e-03, 5.14561017e-05, -6.31488072e-08, 2.37947355e-11, - 486.184087, -15.8827955] - - [6.91814077, 4.84563155e-03, -9.74675469e-07, 1.80928841e-10, -1.67111339e-14, - -1110.88612, -36.0524171] -- name: CHOX2(110) - composition: {C: 1, H: 1, O: 1, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 926.62, 5000.0] - data: - - [3.83288765, -1.66030981e-03, 2.65567139e-05, -3.48666745e-08, 1.36873378e-11, - -3.03571213e+04, -16.1403346] - - [6.41356232, 8.72293869e-04, 3.23559931e-07, -6.87494619e-11, 2.59893837e-15, - -3.14223679e+04, -31.5612771] - sites: 2.0 -- name: C2H3X2(120) - composition: {C: 2, H: 3, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.26, 5000.0] - data: - - [3.83884173, -8.20968791e-03, 6.65622816e-05, -8.22315252e-08, 3.13833554e-11, - -3285.2632, -19.4608522] - - [8.29116405, 2.7943035e-03, 3.10260044e-07, -6.34389013e-11, -1.00801055e-15, - -5420.92646, -47.6378634] - sites: 2.0 -- name: CC#[Pt](307) - composition: {C: 2, H: 3, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1264.64, 5000.0] - data: - - [3.48625379, 9.84987882e-03, -1.12672006e-06, -2.61528606e-09, 9.94677768e-13, - -1928.44075, 2.78657041] - - [4.86544012, 8.67860765e-03, -3.5223538e-06, 6.42820852e-10, -4.38235056e-14, - -2532.45047, -5.19990243] -- name: C2H2X2(338) - composition: {C: 2, H: 2, X: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 928.31, 5000.0] - data: - - [3.24504151, -2.17602793e-03, 3.97905523e-05, -5.17087642e-08, 2.01509093e-11, - 258.438338, -18.4980145] - - [6.79698348, 2.4664034e-03, 5.71681686e-08, -2.66859189e-11, -1.21979217e-15, - -1260.51216, -39.9991896] - sites: 2.0 -- name: C#C.[Pt](513) - composition: {C: 2, H: 2, X: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 946.82, 5000.0] - data: - - [3.06056828, 7.58728095e-03, 2.14479983e-06, -8.0788862e-09, 3.69953519e-12, - 1.90210409e+04, -9.52387326] - - [4.94027909, 4.78722202e-03, -1.56395445e-06, 2.67276194e-10, -1.84169549e-14, - 1.8434649e+04, -19.7065975] - -gas-reactions: -- equation: CH3(9) + CH3(9) <=> C2H6(8) # Reaction 1 - rate-constant: {A: 9.45e+14, b: -0.538, Ea: 0.135} -- equation: CO(6) + CH4(2) <=> CH3CHO(12) # Reaction 2 - rate-constant: {A: 6.56e+04, b: 2.86, Ea: 86.9} -- equation: CO(6) + C2H6(8) <=> C3H6O(13) # Reaction 3 - rate-constant: {A: 538.0, b: 3.29, Ea: 104.5} -- equation: H2O(3) + C2H4(11) <=> C2H6O(14) # Reaction 4 - rate-constant: {A: 588.0, b: 2.94, Ea: 53.1} -- equation: CO2(4) + C2H6(8) <=> CH3COOCH3(15) # Reaction 5 - rate-constant: {A: 292.0, b: 3.13, Ea: 116.33} - -site0-reactions: -- equation: X(1) + X(1) + H2(5) <=> HX(16) + HX(16) # Reaction 1 - sticking-coefficient: {A: 0.032, b: 0.0, Ea: 0.0} -- equation: X(1) + X(1) + O2(7) <=> OX(17) + OX(17) # Reaction 2 - sticking-coefficient: {A: 0.0436, b: -0.206, Ea: 0.359} -- equation: X(1) + CO(6) <=> COX(19) # Reaction 3 - sticking-coefficient: {A: 0.5, b: 0.0, Ea: 0.0} -- equation: X(1) + COX(19) <=> OX(17) + CX(18) # Reaction 4 - rate-constant: {A: 1.75e+13, b: 0.0, Ea: 27.772} -- equation: COX(19) + COX(19) <=> X(1) + CX(18) + CO2(4) # Reaction 5 - rate-constant: {A: 1.62e+14, b: 0.5, Ea: 57.768} -- equation: OX(17) + COX(19) <=> X(1) + X(1) + CO2(4) # Reaction 6 - rate-constant: {A: 2.0e+19, b: 0.0, Ea: 29.541} -- equation: HX(16) + CX(18) <=> X(1) + CHX(20) # Reaction 7 - rate-constant: {A: 1.7e+24, b: -0.5, Ea: 37.739} -- equation: HX(16) + COX(19) <=> OX(17) + CHX(20) # Reaction 8 - rate-constant: {A: 1.26e+20, b: 0.073, Ea: 45.8} -- equation: HX(16) + CHX(20) <=> X(1) + CH2X(21) # Reaction 9 - rate-constant: {A: 9.77e+24, b: -0.087, Ea: 19.359} -- equation: H2(5) + CX(18) <=> CH2X(21) # Reaction 10 - sticking-coefficient: {A: 0.04, b: 0.0, Ea: 7.098} -- equation: OX(17) + CHX(20) <=> X(1) + HCOX(22) # Reaction 11 - rate-constant: {A: 4.59e+20, b: 0.0, Ea: 26.267} -- equation: X(1) + HCOX(22) <=> HX(16) + COX(19) # Reaction 12 - rate-constant: {A: 3.71e+21, b: 0.0, Ea: 0.0} -- equation: HX(16) + CH3X(32) <=> X(1) + X(1) + CH4(2) # Reaction 13 - rate-constant: {A: 1.44e+22, b: -0.087, Ea: 15.153} -- equation: HX(16) + CH2X(21) <=> X(1) + CH3X(32) # Reaction 14 - rate-constant: {A: 3.09e+23, b: -0.087, Ea: 13.671} -- equation: X(1) + CH3(9) <=> CH3X(32) # Reaction 15 - sticking-coefficient: {A: 0.16, b: -0.099, Ea: 0.0} -- equation: HOX(33) + CX(18) <=> HX(16) + COX(19) # Reaction 16 - rate-constant: {A: 3.88e+25, b: 0.188, Ea: 14.938} -- equation: HOX(33) + CH3X(32) <=> X(1) + OX(17) + CH4(2) # Reaction 17 - rate-constant: {A: 2.98e+22, b: 0.101, Ea: 6.166} -- equation: HOX(33) + CH2X(21) <=> OX(17) + CH3X(32) # Reaction 18 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: HOX(33) + CHX(20) <=> OX(17) + CH2X(21) # Reaction 19 - rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} -- equation: HOX(33) + CX(18) <=> OX(17) + CHX(20) # Reaction 20 - rate-constant: {A: 2.43e+21, b: -0.312, Ea: 28.418} -- equation: HX(16) + HOX(33) <=> X(1) + X(1) + H2O(3) # Reaction 21 - rate-constant: {A: 1.85e+20, b: 0.086, Ea: 9.919} -- equation: X(1) + HOX(33) <=> OX(17) + HX(16) # Reaction 22 - rate-constant: {A: 2.25e+20, b: 0.188, Ea: 7.075} -- equation: HOX(33) + HOX(33) <=> X(1) + OX(17) + H2O(3) # Reaction 23 - rate-constant: {A: 2.34e+20, b: 0.274, Ea: 22.06} -- equation: HOX(33) + HCOX(22) <=> HX(16) + HOCXO(35) # Reaction 24 - rate-constant: {A: 2.28e+20, b: 0.263, Ea: 3.8} -- equation: X(1) + HOCXO(35) <=> HOX(33) + COX(19) # Reaction 25 - rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} -- equation: X(1) + HOCXO(35) <=> X(1) + HX(16) + CO2(4) # Reaction 26 - rate-constant: {A: 3.73e+20, b: 0.475, Ea: 8.031} -- equation: COX(19) + COX(19) <=> CX(18) + CO2X(36) # Reaction 27 - rate-constant: {A: 1.62e+14, b: 0.5, Ea: 57.768} -- equation: X(1) + CO2(4) <=> CO2X(36) # Reaction 28 - sticking-coefficient: {A: 5.0e-03, b: 0.0, Ea: 0.0} -- equation: OX(17) + COX(19) <=> X(1) + CO2X(36) # Reaction 29 - rate-constant: {A: 3.7e+21, b: 0.0, Ea: 28.107} -- equation: HOX(33) + COX(19) <=> HX(16) + CO2X(36) # Reaction 30 - rate-constant: {A: 1.0e+19, b: 0.0, Ea: 9.25} -- equation: X(1) + HOCXO(35) <=> HX(16) + CO2X(36) # Reaction 31 - rate-constant: {A: 4.27e+19, b: 0.549, Ea: 1.0} -- equation: HOX(33) + CO2X(36) <=> OX(17) + HOCXO(35) # Reaction 32 - rate-constant: {A: 2.15e+19, b: 0.097, Ea: 26.5} -- equation: CH2COX2(27) <=> COX(19) + CH2X(21) # Reaction 33 - rate-constant: {A: 4.22e+12, b: 0.0, Ea: 24.857} -- equation: X(1) + CH2COX(26) <=> CH2COX2(27) # Reaction 34 - rate-constant: {A: 2.0e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + C2H4(11) <=> C2H4X(29) # Reaction 35 - sticking-coefficient: {A: 7.0e-06, b: 0.0, Ea: 0.0} -- equation: X(1) + X(1) + C2H4(11) <=> C2H4X2(30) # Reaction 36 - sticking-coefficient: {A: 0.69, b: 0.0, Ea: 0.0} -- equation: CH2X(21) + CH2X(21) <=> C2H4X2(30) # Reaction 37 - rate-constant: {A: 9.89e+23, b: 0.0, Ea: 36.807} -- equation: X(1) + C2H4X(29) <=> C2H4X2(30) # Reaction 38 - rate-constant: {A: 1.78e+21, b: 0.0, Ea: 2.868} -- equation: X(1) + X(1) + CO2(4) <=> OCXOX(34) # Reaction 39 - sticking-coefficient: {A: 1.66, b: 0.0, Ea: 0.0} -- equation: OCXOX(34) <=> OX(17) + COX(19) # Reaction 40 - rate-constant: {A: 4.22e+12, b: 0.0, Ea: 31.864} -- equation: X(1) + CO2X(36) <=> OCXOX(34) # Reaction 41 - rate-constant: {A: 4.0e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + X(1) + C2H6(8) <=> CH3X(32) + CH3X(32) # Reaction 42 - sticking-coefficient: {A: 0.015, b: 0.0, Ea: 5.523} -- equation: X(1) + X(1) + CH3OH(10) <=> HOX(33) + CH3X(32) # Reaction 43 - sticking-coefficient: {A: 0.015, b: 0.0, Ea: 1.195} -- equation: X(1) + X(1) + CH3OH(10) <=> HX(16) + CH3OX(24) # Reaction 44 - sticking-coefficient: {A: 0.099, b: 0.0, Ea: 18.294} -- equation: X(1) + X(1) + C2H4(11) <=> CH2X(21) + CH2X(21) # Reaction 45 - sticking-coefficient: {A: 0.01, b: 0.0, Ea: 10.0} -- equation: X(1) + X(1) + CH3CHO(12) <=> HCOX(22) + CH3X(32) # Reaction 46 - sticking-coefficient: {A: 0.015, b: 0.0, Ea: 1.195} -- equation: X(1) + X(1) + C2H6O(14) <=> CH3X(32) + CH3OX(24) # Reaction 47 - sticking-coefficient: {A: 0.015, b: 0.0, Ea: 2.521} -- equation: X(1) + HCOHX(23) <=> HOX(33) + CHX(20) # Reaction 48 - rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} -- equation: X(1) + HCOHX(23) <=> HX(16) + HCOX(22) # Reaction 49 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.918} -- equation: X(1) + CH3OX(24) <=> HOX(33) + CH2X(21) # Reaction 50 - rate-constant: {A: 1.46e+24, b: -0.213, Ea: 12.978} -- equation: X(1) + CH3OX(24) <=> HX(16) + HCOHX(23) # Reaction 51 - rate-constant: {A: 7.42e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + CH3COOX(25) <=> HOCXO(35) + CH2X(21) # Reaction 52 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 36.535} -- equation: X(1) + CH3COOX(25) <=> HOX(33) + CH2COX(26) # Reaction 53 - rate-constant: {A: 1.53922e+21, b: 0.131, Ea: 18.349} -- equation: X(1) + CH2COX(26) <=> COX(19) + CH2X(21) # Reaction 54 - rate-constant: {A: 3.282e+20, b: 0.0, Ea: 57.651} -- equation: X(1) + CH3COOHX(28) <=> HOCXO(35) + CH3X(32) # Reaction 55 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 34.027} -- equation: X(1) + CH3COOHX(28) <=> HX(16) + CH3COOX(25) # Reaction 56 - rate-constant: {A: 2.11635e+13, b: 2.071, Ea: 32.311} -- equation: X(1) + C2H4X(29) <=> CH2X(21) + CH2X(21) # Reaction 57 - rate-constant: {A: 3.282e+20, b: 0.0, Ea: 57.651} -- equation: X(1) + COOHX(31) <=> OX(17) + HCOHX(23) # Reaction 58 - rate-constant: {A: 1.641e+20, b: 0.0, Ea: 57.651} -- equation: X(1) + COOHX(31) <=> HOX(33) + HCOX(22) # Reaction 59 - rate-constant: {A: 1.781e+21, b: 0.0, Ea: 37.589} -- equation: HX(16) + HOCXO(35) <=> X(1) + COOHX(31) # Reaction 60 - rate-constant: {A: 2.308e+22, b: 0.0, Ea: 16.834} -- equation: X(1) + X(1) + HOCXO(35) <=> HX(16) + OCXOX(34) # Reaction 61 - rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} -- equation: CH2X(21) + COOHX(31) <=> HX(16) + CH3COOX(25) # Reaction 62 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: OX(17) + HCOX(22) <=> HOX(33) + COX(19) # Reaction 63 - rate-constant: {A: 3.298e+21, b: 0.0, Ea: 0.0} -- equation: OX(17) + HCOHX(23) <=> HOX(33) + HCOX(22) # Reaction 64 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 0.0} -- equation: HOX(33) + HCOHX(23) <=> OX(17) + CH3OX(24) # Reaction 65 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: OX(17) + CH2COX2(27) <=> OCXOX(34) + CH2X(21) # Reaction 66 - rate-constant: {A: 3.298e+21, b: 0.0, Ea: 0.0} -- equation: OX(17) + CH3COOHX(28) <=> HOX(33) + CH3COOX(25) # Reaction 67 - rate-constant: {A: 4.215e+24, b: -0.101, Ea: 22.156} -- equation: OX(17) + COOHX(31) <=> HOX(33) + HOCXO(35) # Reaction 68 - rate-constant: {A: 1.405e+24, b: -0.101, Ea: 22.156} -- equation: CX(18) + CH2X(21) <=> CHX(20) + CHX(20) # Reaction 69 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 15.39} -- equation: CX(18) + HCOX(22) <=> COX(19) + CHX(20) # Reaction 70 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 8.664} -- equation: CX(18) + HCOHX(23) <=> CHX(20) + HCOX(22) # Reaction 71 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 5.749} -- equation: CX(18) + CH3OX(24) <=> CHX(20) + HCOHX(23) # Reaction 72 - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 8.913} -- equation: CX(18) + CH3COOHX(28) <=> CHX(20) + CH3COOX(25) # Reaction 73 - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: CX(18) + COOHX(31) <=> CHX(20) + HOCXO(35) # Reaction 74 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: CX(18) + CH3X(32) <=> CHX(20) + CH2X(21) # Reaction 75 - rate-constant: {A: 9.894e+21, b: 0.0, Ea: 0.0} -- equation: CHX(20) + HCOX(22) <=> COX(19) + CH2X(21) # Reaction 76 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 17.007} -- equation: CHX(20) + HOCXO(35) <=> COX(19) + HCOHX(23) # Reaction 77 - rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} -- equation: COX(19) + HCOHX(23) <=> HCOX(22) + HCOX(22) # Reaction 78 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 44.034} -- equation: HOCXO(35) + CH2X(21) <=> COX(19) + CH3OX(24) # Reaction 79 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: HCOX(22) + HCOHX(23) <=> COX(19) + CH3OX(24) # Reaction 80 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 14.571} -- equation: COX(19) + CH3COOX(25) <=> HOCXO(35) + CH2COX(26) # Reaction 81 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 61.626} -- equation: COX(19) + CH3COOHX(28) <=> HCOX(22) + CH3COOX(25) # Reaction 82 - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + CH2COX2(27) <=> COX(19) + C2H4X2(30) # Reaction 83 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 84 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 85 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: HCOX(22) + CH2X(21) <=> COX(19) + CH3X(32) # Reaction 86 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.376} -- equation: COX(19) + HOCXO(35) <=> CO2X(36) + HCOX(22) # Reaction 87 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 40.036} -- equation: CHX(20) + HCOHX(23) <=> HCOX(22) + CH2X(21) # Reaction 88 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 26.946} -- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 89 - duplicate: true - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 90 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 21.297} -- equation: CHX(20) + CH3COOHX(28) <=> CH2X(21) + CH3COOX(25) # Reaction 91 - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: CHX(20) + COOHX(31) <=> HCOX(22) + HCOHX(23) # Reaction 92 - rate-constant: {A: 2.360665e+21, b: -0.074, Ea: 28.318} -- equation: CHX(20) + COOHX(31) <=> HOCXO(35) + CH2X(21) # Reaction 93 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + CH2X(21) <=> CHX(20) + CH3X(32) # Reaction 94 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.102} -- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 95 - duplicate: true - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: CH2X(21) + HCOHX(23) <=> CHX(20) + CH3OX(24) # Reaction 96 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 21.297} -- equation: CH2X(21) + HCOHX(23) <=> HCOX(22) + CH3X(32) # Reaction 97 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 17.722} -- equation: CH2X(21) + CH3OX(24) <=> HCOHX(23) + CH3X(32) # Reaction 98 - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.269} -- equation: CH2X(21) + CH3COOX(25) <=> CH3OX(24) + CH2COX(26) # Reaction 99 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 54.408} -- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 100 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 101 - duplicate: true - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + COOHX(31) <=> HCOX(22) + CH3OX(24) # Reaction 102 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + COOHX(31) <=> HOCXO(35) + CH3X(32) # Reaction 103 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: HOCXO(35) + CH2X(21) <=> CO2X(36) + CH3X(32) # Reaction 104 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.724} -- equation: HCOHX(23) + HCOHX(23) <=> HCOX(22) + CH3OX(24) # Reaction 105 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 20.758} -- equation: HCOX(22) + CH3COOX(25) <=> COOHX(31) + CH2COX(26) # Reaction 106 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 31.276} -- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 107 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: COX(19) + COOHX(31) <=> HCOX(22) + HOCXO(35) # Reaction 108 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: HCOHX(23) + CH3COOHX(28) <=> CH3OX(24) + CH3COOX(25) # Reaction 109 - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: HCOHX(23) + COOHX(31) <=> HOCXO(35) + CH3OX(24) # Reaction 110 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: HOCXO(35) + HCOHX(23) <=> CO2X(36) + CH3OX(24) # Reaction 111 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 16.76} -- equation: HOCXO(35) + CH3COOHX(28) <=> COOHX(31) + CH3COOX(25) # Reaction 112 - rate-constant: {A: 1.254e+22, b: 0.0, Ea: 31.401} -- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 113 - duplicate: true - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + CH3COOHX(28) <=> CH3X(32) + CH3COOX(25) # Reaction 114 - duplicate: true - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: HOCXO(35) + CH3COOX(25) <=> CO2X(36) + CH3COOHX(28) # Reaction 115 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 15.298} -- equation: HOCXO(35) + HOCXO(35) <=> CO2X(36) + COOHX(31) # Reaction 116 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 15.658} -- equation: X(1) + HOX(33) + CH4(2) <=> H2OX(43) + CH3X(32) # Reaction 117 - sticking-coefficient: {A: 1.0, b: 0.0, Ea: 2.39} -- equation: X(1) + H2O(3) <=> H2OX(43) # Reaction 118 - sticking-coefficient: {A: 0.75, b: 0.0, Ea: 0.0} -- equation: X(1) + H2OX(43) <=> HX(16) + HOX(33) # Reaction 119 - rate-constant: {A: 1.15e+19, b: 0.0, Ea: 24.235} -- equation: OX(17) + H2OX(43) <=> HOX(33) + HOX(33) # Reaction 120 - rate-constant: {A: 1.0e+20, b: 0.0, Ea: 21.63} -- equation: H2OX(43) + COX(19) <=> HX(16) + HOCXO(35) # Reaction 121 - rate-constant: {A: 4.43e+19, b: 0.492, Ea: 23.7} -- equation: H2OX(43) + CO2X(36) <=> HOX(33) + HOCXO(35) # Reaction 122 - rate-constant: {A: 3.48e+19, b: -0.031, Ea: 21.853} -- equation: H2OX(43) + CH2X(21) <=> HOX(33) + CH3X(32) # Reaction 123 - rate-constant: {A: 3.3e+19, b: 0.099, Ea: 14.1} -- equation: H2OX(43) + CHX(20) <=> HOX(33) + CH2X(21) # Reaction 124 - rate-constant: {A: 7.29e+19, b: 0.269, Ea: 34.0} -- equation: H2OX(43) + CX(18) <=> HOX(33) + CHX(20) # Reaction 125 - rate-constant: {A: 4.19e+19, b: 0.09, Ea: 15.6} -- equation: H2OX(43) + CHX(20) <=> HX(16) + HCOHX(23) # Reaction 126 - rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} -- equation: H2OX(43) + CH2X(21) <=> HX(16) + CH3OX(24) # Reaction 127 - rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} -- equation: HOX(33) + HCOX(22) <=> H2OX(43) + COX(19) # Reaction 128 - rate-constant: {A: 3.261e+21, b: 0.0, Ea: 6.918} -- equation: H2OX(43) + HCOHX(23) <=> HOX(33) + CH3OX(24) # Reaction 129 - rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} -- equation: HOX(33) + CH3COOHX(28) <=> H2OX(43) + CH3COOX(25) # Reaction 130 - rate-constant: {A: 1.254e+22, b: 0.0, Ea: 26.173} -- equation: HOX(33) + COOHX(31) <=> H2OX(43) + HOCXO(35) # Reaction 131 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 25.676} -- equation: X(1) + CH4(2) <=> C.[Pt](84) # Reaction 132 - sticking-coefficient: {A: 8.0e-03, b: 0.0, Ea: 0.0} -- equation: X(1) + C.[Pt](84) <=> HX(16) + CH3X(32) # Reaction 133 - rate-constant: {A: 1.54e+21, b: 0.087, Ea: 13.337} -- equation: CX(18) + C.[Pt](84) <=> CHX(20) + CH3X(32) # Reaction 134 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: CHX(20) + C.[Pt](84) <=> CH2X(21) + CH3X(32) # Reaction 135 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: COX(19) + C.[Pt](84) <=> HCOX(22) + CH3X(32) # Reaction 136 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 38.269} -- equation: HCOHX(23) + C.[Pt](84) <=> CH3X(32) + CH3OX(24) # Reaction 137 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: CH3X(32) + CH3COOHX(28) <=> C.[Pt](84) + CH3COOX(25) # Reaction 138 - rate-constant: {A: 1.254e+22, b: 0.0, Ea: 19.264} -- equation: COOHX(31) + CH3X(32) <=> HOCXO(35) + C.[Pt](84) # Reaction 139 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 18.766} -- equation: CH2X(21) + C.[Pt](84) <=> CH3X(32) + CH3X(32) # Reaction 140 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: OX(17) + C.[Pt](84) <=> HOX(33) + CH3X(32) # Reaction 141 - rate-constant: {A: 5.62e+24, b: -0.101, Ea: 22.156} -- equation: HOCXO(35) + CH3X(32) <=> CO2X(36) + C.[Pt](84) # Reaction 142 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 6.877} -- equation: H2OX(43) + CH3X(32) <=> HOX(33) + C.[Pt](84) # Reaction 143 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 23.994} -- equation: CX(18) + CH3COOHX(28) <=> HOCXO(35) + CC#[Pt](307) # Reaction 144 - rate-constant: {A: 2.360665e+21, b: -0.074, Ea: 28.318} -- equation: X(1) + CC#[Pt](307) <=> CX(18) + CH3X(32) # Reaction 145 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 47.142} -- equation: CX(18) + C.[Pt](84) <=> HX(16) + CC#[Pt](307) # Reaction 146 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: C2H2X2(338) <=> CHX(20) + CHX(20) # Reaction 147 - rate-constant: {A: 7.93e+12, b: 0.0, Ea: 21.511} -- equation: X(1) + HCOX(22) <=> CHOX2(110) # Reaction 148 - rate-constant: {A: 1.0e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + X(1) + HCOHX(23) <=> HX(16) + CHOX2(110) # Reaction 149 - rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} -- equation: OX(17) + CHX(20) <=> CHOX2(110) # Reaction 150 - rate-constant: {A: 6.54e+21, b: 0.0, Ea: 33.939} -- equation: COX(19) + CHOX2(110) <=> OCXOX(34) + CHX(20) # Reaction 151 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: OX(17) + C2H2X2(338) <=> CHX(20) + CHOX2(110) # Reaction 152 - rate-constant: {A: 6.596e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + C#C.[Pt](513) <=> C2H2X2(338) # Reaction 153 - rate-constant: {A: 1.0e+21, b: 0.0, Ea: 0.0} -- equation: X(1) + X(1) + C2H4(11) <=> HX(16) + C2H3X(88) # Reaction 154 - sticking-coefficient: {A: 0.1, b: 0.0, Ea: 11.937} -- equation: X(1) + C2H4X(29) <=> HX(16) + C2H3X(88) # Reaction 155 - rate-constant: {A: 1.047906e+14, b: 1.601, Ea: 18.989} -- equation: OX(17) + C2H4X(29) <=> HOX(33) + C2H3X(88) # Reaction 156 - rate-constant: {A: 5.62e+24, b: -0.101, Ea: 22.156} -- equation: CX(18) + C2H4X(29) <=> CHX(20) + C2H3X(88) # Reaction 157 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: COX(19) + C2H4X(29) <=> HCOX(22) + C2H3X(88) # Reaction 158 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: X(1) + C2H3X(88) <=> CHX(20) + CH2X(21) # Reaction 159 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 34.808} -- equation: CHX(20) + C2H4X(29) <=> CH2X(21) + C2H3X(88) # Reaction 160 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + C2H4X(29) <=> CH3X(32) + C2H3X(88) # Reaction 161 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: HCOHX(23) + C2H4X(29) <=> CH3OX(24) + C2H3X(88) # Reaction 162 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: CH3COOX(25) + C2H4X(29) <=> C2H3X(88) + CH3COOHX(28) # Reaction 163 - rate-constant: {A: 1.672e+22, b: 0.0, Ea: 32.383} -- equation: CH3X(32) + C2H4X(29) <=> C.[Pt](84) + C2H3X(88) # Reaction 164 - rate-constant: {A: 1.672e+22, b: 0.0, Ea: 20.744} -- equation: HOX(33) + C2H4X(29) <=> H2OX(43) + C2H3X(88) # Reaction 165 - rate-constant: {A: 1.672e+22, b: 0.0, Ea: 27.653} -- equation: HOCXO(35) + C2H4X(29) <=> COOHX(31) + C2H3X(88) # Reaction 166 - rate-constant: {A: 1.672e+22, b: 0.0, Ea: 32.881} -- equation: HOCXO(35) + C2H3X(88) <=> CO2X(36) + C2H4X(29) # Reaction 167 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 14.227} -- equation: X(1) + X(1) + C2H3X(88) <=> HX(16) + C2H2X2(338) # Reaction 168 - rate-constant: {A: 1.856667e+29, b: 0.0, Ea: 10.994} -- equation: C2H3X(88) + CH3COOX(25) <=> C#C.[Pt](513) + CH3COOHX(28) # Reaction 169 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 44.984} -- equation: C2H3X(88) + C2H3X(88) <=> C#C.[Pt](513) + C2H4X(29) # Reaction 170 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 43.914} -- equation: HOCXO(35) + C2H3X(88) <=> COOHX(31) + C#C.[Pt](513) # Reaction 171 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 45.345} -- equation: HOX(33) + C2H3X(88) <=> H2OX(43) + C#C.[Pt](513) # Reaction 172 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 41.563} -- equation: CH3X(32) + C2H3X(88) <=> C.[Pt](84) + C#C.[Pt](513) # Reaction 173 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 36.564} -- equation: X(1) + C2H4X2(30) <=> HX(16) + C2H3X2(120) # Reaction 174 - rate-constant: {A: 2.225e+21, b: 0.0, Ea: 14.101} -- equation: HOX(33) + C2H3X2(120) <=> OX(17) + C2H4X2(30) # Reaction 175 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: CX(18) + C2H4X2(30) <=> CHX(20) + C2H3X2(120) # Reaction 176 - rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 9.366} -- equation: HCOX(22) + C2H3X2(120) <=> COX(19) + C2H4X2(30) # Reaction 177 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 13.665} -- equation: C2H3X2(120) <=> CHX(20) + CH2X(21) # Reaction 178 - rate-constant: {A: 2.74e+13, b: 0.0, Ea: 33.461} -- equation: CHX(20) + CH2COX2(27) <=> COX(19) + C2H3X2(120) # Reaction 179 - rate-constant: {A: 4.4e+22, b: 0.101, Ea: 10.134} -- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 180 - duplicate: true - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 181 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.391} -- equation: CH2X(21) + C2H4X2(30) <=> CH3X(32) + C2H3X2(120) # Reaction 182 - rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 11.722} -- equation: HCOHX(23) + C2H3X2(120) <=> HCOX(22) + C2H4X2(30) # Reaction 183 - rate-constant: {A: 4.18e+21, b: 0.0, Ea: 18.455} -- equation: CH3OX(24) + C2H3X2(120) <=> HCOHX(23) + C2H4X2(30) # Reaction 184 - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.414} -- equation: C2H3X2(120) + CH3COOHX(28) <=> CH3COOX(25) + C2H4X2(30) # Reaction 185 - rate-constant: {A: 1.189909e+19, b: -0.048, Ea: 34.48} -- equation: C.[Pt](84) + C2H3X2(120) <=> CH3X(32) + C2H4X2(30) # Reaction 186 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: H2OX(43) + C2H3X2(120) <=> HOX(33) + C2H4X2(30) # Reaction 187 - rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} -- equation: COOHX(31) + C2H3X2(120) <=> HOCXO(35) + C2H4X2(30) # Reaction 188 - rate-constant: {A: 3.966364e+18, b: -0.048, Ea: 34.48} -- equation: X(1) + C2H3X2(120) <=> HX(16) + C2H2X2(338) # Reaction 189 - rate-constant: {A: 4.75e+21, b: 0.0, Ea: 17.208} -- equation: CX(18) + C2H3X2(120) <=> CHX(20) + C2H2X2(338) # Reaction 190 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 14.625} -- equation: CHX(20) + C2H3X2(120) <=> CH2X(21) + C2H2X2(338) # Reaction 191 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 35.822} -- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 192 - duplicate: true - rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} -- equation: COX(19) + C2H3X2(120) <=> HCOX(22) + C2H2X2(338) # Reaction 193 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 52.909} -- equation: HCOHX(23) + C2H2X2(338) <=> HCOX(22) + C2H3X2(120) # Reaction 194 - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 22.027} -- equation: HCOHX(23) + C2H3X2(120) <=> CH3OX(24) + C2H2X2(338) # Reaction 195 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 29.634} -- equation: C2H2X2(338) + CH3COOHX(28) <=> C2H3X2(120) + CH3COOX(25) # Reaction 196 - rate-constant: {A: 2.379818e+19, b: -0.048, Ea: 34.48} -- equation: C2H2X2(338) + C2H4X(29) <=> C2H3X(88) + C2H3X2(120) # Reaction 197 - rate-constant: {A: 3.173091e+19, b: -0.048, Ea: 34.48} -- equation: C2H3X2(120) + C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) # Reaction 198 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 27.331} -- equation: COOHX(31) + C2H2X2(338) <=> HOCXO(35) + C2H3X2(120) # Reaction 199 - rate-constant: {A: 7.932728e+18, b: -0.048, Ea: 34.48} -- equation: CH2X(21) + C2H3X2(120) <=> CH3X(32) + C2H2X2(338) # Reaction 200 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 26.597} -- equation: OX(17) + C2H3X2(120) <=> HOX(33) + C2H2X2(338) # Reaction 201 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 33.697} -- equation: H2OX(43) + C2H2X2(338) <=> HOX(33) + C2H3X2(120) # Reaction 202 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: C.[Pt](84) + C2H2X2(338) <=> CH3X(32) + C2H3X2(120) # Reaction 203 - rate-constant: {A: 3.173091e+19, b: -0.048, Ea: 34.48} -- equation: CHOX2(110) + CH2X(21) <=> OX(17) + C2H3X2(120) # Reaction 204 - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: X(1) + C2H3X(88) <=> C2H3X2(120) # Reaction 205 - rate-constant: {A: 7.15e+20, b: 0.0, Ea: 0.717} -- equation: C2H3X2(120) + C2H4X(29) <=> C2H3X(88) + C2H4X2(30) # Reaction 206 - rate-constant: {A: 1.586546e+19, b: -0.048, Ea: 34.48} -- equation: HOX(33) + C2H2X2(338) <=> OX(17) + C2H3X2(120) # Reaction 207 - duplicate: true - rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} -- equation: CX(18) + C2H3X2(120) <=> CHX(20) + C2H2X2(338) # Reaction 208 - duplicate: true - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 8.663} -- equation: HCOX(22) + C2H2X2(338) <=> COX(19) + C2H3X2(120) # Reaction 209 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 15.071} -- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 210 - duplicate: true - rate-constant: {A: 2.78e+21, b: 0.101, Ea: 4.541} -- equation: CH2X(21) + C2H2X2(338) <=> CHX(20) + C2H3X2(120) # Reaction 211 - duplicate: true - rate-constant: {A: 1.672e+22, b: 0.0, Ea: 21.797} -- equation: CH2X(21) + C2H3X2(120) <=> CH3X(32) + C2H2X2(338) # Reaction 212 - duplicate: true - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.019} -- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 213 - duplicate: true - rate-constant: {A: 1.39e+21, b: 0.101, Ea: 4.541} -- equation: CH2X(21) + C2H3X2(120) <=> CHX(20) + C2H4X2(30) # Reaction 214 - duplicate: true - rate-constant: {A: 8.36e+21, b: 0.0, Ea: 20.391} -- equation: CH3OX(24) + C2H2X2(338) <=> HCOHX(23) + C2H3X2(120) # Reaction 215 - duplicate: true - rate-constant: {A: 1.485161e+22, b: 0.0, Ea: 12.117} -- equation: C2H3X2(120) + C2H3X2(120) <=> C2H2X2(338) + C2H4X2(30) # Reaction 216 - duplicate: true - rate-constant: {A: 7.425804e+21, b: 0.0, Ea: 11.164} diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml deleted file mode 100644 index 646f51379eb..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37.yaml +++ /dev/null @@ -1,1220 +0,0 @@ -generator: ck2yaml -input-files: [chem.inp, tran.dat] -cantera-version: 3.1.0 -date: Thu, 12 Feb 2026 17:20:54 -0500 - -units: {length: cm, time: s, quantity: mol, activation-energy: - kcal/mol} - -phases: -- name: gas - thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, - X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), - HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), - CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), - CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), - CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), - CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -- symbol: X - atomic-weight: 195.083 - -species: -- name: N2 - composition: {N: 2} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, - -1046.98, 2.96747] - - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, - -923.949, 5.87189] - transport: - model: gas - geometry: linear - well-depth: 97.53 - diameter: 3.621 - polarizability: 1.76 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: Ar - composition: {Ar: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - transport: - model: gas - geometry: atom - well-depth: 136.501 - diameter: 3.33 - note: GRI-Mech -- name: He - composition: {He: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - transport: - model: gas - geometry: atom - well-depth: 10.2 - diameter: 2.576 - note: NOx2018 -- name: Ne - composition: {Ne: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - transport: - model: gas - geometry: atom - well-depth: 148.6 - diameter: 3.758 - note: Epsilon & sigma estimated with fixed Lennard Jones - Parameters. This is the fallback method! Try improving transport - databases! -- name: ethane(1) - composition: {C: 2, H: 6} - thermo: - model: NASA7 - temperature-ranges: [100.0, 954.51, 5000.0] - data: - - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, - 2.28636966e-11, -1.16203409e+04, 5.21033695] - - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, - -6.21716348e-14, -1.27217663e+04, -3.61740116] - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: O(2) - composition: {O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, - 1.86626471e-22, 2.92302441e+04, 5.12616427] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, - 3.07921551e-15, 2.74791187e+04, -6.32199355] - transport: - model: gas - geometry: atom - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech -- name: H2(3) - composition: {H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1959.07, 5000.0] - data: - - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, - -7.76039045e-14, -1031.35983, -3.90841661] - - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, - 4.3432812e-15, -596.155632, 0.112618494] - transport: - model: gas - geometry: linear - well-depth: 38.0 - diameter: 2.92 - polarizability: 0.79 - rotational-relaxation: 280.0 - note: GRI-Mech -- name: H(4) - composition: {H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, - 1.86626471e-22, 2.54742178e+04, -0.444972899] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, - 3.07921551e-15, 2.37230923e+04, -11.8931307] - transport: - model: gas - geometry: atom - well-depth: 145.0 - diameter: 2.05 - note: GRI-Mech -- name: OH(5) - composition: {H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1145.76, 5000.0] - data: - - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, - -3.85939405e-13, 3414.25418, 2.10434756] - - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, - 2.48061367e-15, 3579.38792, 4.57801469] - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech -- name: HO2(6) - composition: {H: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 932.15, 5000.0] - data: - - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, - 3.34908581e-12, -986.754245, 4.63581294] - - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, - -1.46337935e-14, -910.368497, 8.1829188] - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: O2(7) - composition: {O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1074.55, 5000.0] - data: - - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, - 1.45846258e-12, -1038.58849, 4.68368183] - - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, - -1.08782414e-14, -1040.81728, 6.16755832] - transport: - model: gas - geometry: linear - well-depth: 107.4 - diameter: 3.458 - polarizability: 1.6 - rotational-relaxation: 3.8 - note: GRI-Mech -- name: H2O2(8) - composition: {H: 2, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 908.87, 5000.0] - data: - - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, - 6.41593098e-12, -1.77211709e+04, 5.4590992] - - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, - -3.35202076e-15, -1.83029497e+04, -4.02244574] - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 3.8 - note: GRI-Mech -- name: CH(9) - composition: {C: 1, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 926.51, 5000.0] - data: - - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, - -4.57034328e-12, 7.5083855e+04, 1.61266477] - - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, - -8.47548969e-15, 7.56507618e+04, 11.3255931] - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech -- name: CO(10) - composition: {C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1571.64, 5000.0] - data: - - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, - 3.13595852e-13, -1.42842549e+04, 3.57912151] - - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, - -7.84023563e-15, -1.41808823e+04, 6.71048256] - transport: - model: gas - geometry: linear - well-depth: 98.1 - diameter: 3.65 - polarizability: 1.95 - rotational-relaxation: 1.8 - note: GRI-Mech -- name: CH2(11) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1104.61, 5000.0] - data: - - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, - 5.69496611e-13, 4.58676802e+04, 0.533200599] - - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, - -9.50338343e-15, 4.60581391e+04, 4.77807727] - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech -- name: HCO(12) - composition: {C: 1, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1565.71, 5000.0] - data: - - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, - 2.2789219e-12, 3995.7703, 2.75110901] - - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, - -7.07455829e-14, 2787.59278, -2.2286268] - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - note: GRI-Mech -- name: CH2(S)(13) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1442.37, 5000.0] - data: - - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, - 7.56181002e-13, 5.04005786e+04, -0.411760728] - - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, - -1.62952281e-14, 5.06917394e+04, 6.78363319] - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech -- name: CH3(14) - composition: {C: 1, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1337.63, 5000.0] - data: - - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, - 8.49956934e-13, 1.62856394e+04, 0.351741472] - - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, - -2.22545603e-14, 1.62239579e+04, 1.66035007] - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech -- name: CH2O(15) - composition: {C: 1, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1402.28, 5000.0] - data: - - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, - 4.31816316e-12, -1.42789565e+04, 2.39242073] - - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, - -9.68413887e-14, -1.50752145e+04, 4.310906] - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: CH4(16) - composition: {C: 1, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1084.12, 5000.0] - data: - - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, - 5.97526027e-12, -1.01619434e+04, -0.921283218] - - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, - -5.66316007e-14, -9719.97168, 13.9931301] - transport: - model: gas - geometry: nonlinear - well-depth: 141.4 - diameter: 3.746 - polarizability: 2.6 - rotational-relaxation: 13.0 - note: GRI-Mech -- name: CO2(17) - composition: {C: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 988.88, 5000.0] - data: - - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, - 4.14301837e-12, -4.84703148e+04, 5.97933601] - - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, - -1.70916113e-14, -4.89803462e+04, -1.43256811] - transport: - model: gas - geometry: linear - well-depth: 244.001 - diameter: 3.763 - polarizability: 2.65 - rotational-relaxation: 2.1 - note: GRI-Mech -- name: CH2OH(18) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 895.02, 5000.0] - data: - - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, - 1.24872943e-11, -4007.45885, 7.29205125] - - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, - 5.18305721e-15, -4890.52242, -6.34789026] - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: CH3O(19) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 916.88, 5000.0] - data: - - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, - 1.35709435e-11, -6.1526064, 6.81371105] - - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, - -1.70337706e-14, -449.804491, 4.33880987] - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: CH3OH(20) - composition: {C: 1, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 952.14, 5000.0] - data: - - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, - 1.00834696e-11, -2.63358548e+04, 6.36475927] - - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, - -4.27805556e-14, -2.65518956e+04, 8.0877776] - transport: - model: gas - geometry: nonlinear - well-depth: 481.802 - diameter: 3.626 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: C2H(21) - composition: {C: 2, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1076.57, 5000.0] - data: - - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, - -5.41599321e-12, 6.63980142e+04, 5.96677301] - - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, - 1.29286839e-14, 6.65295062e+04, 2.7963513] - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech -- name: C2H2(22) - composition: {C: 2, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 888.63, 5000.0] - data: - - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, - 5.50729325e-12, 2.58526447e+04, 4.54464265] - - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, - 2.21824257e-15, 2.50944416e+04, -9.82620311] - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech -- name: HCCO(23) - composition: {C: 2, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 936.06, 5000.0] - data: - - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, - 8.64536182e-13, 2.2595688e+04, 7.09495919] - - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, - -1.04309541e-14, 2.19694663e+04, -5.8023368] - transport: - model: gas - geometry: nonlinear - well-depth: 150.001 - diameter: 2.5 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: C2H3(24) - composition: {C: 2, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.96, 5000.0] - data: - - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, - 1.7290018e-11, 3.47971783e+04, 6.09789219] - - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, - -1.45095844e-14, 3.38297738e+04, -4.87809437] - transport: - model: gas - geometry: nonlinear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 1.0 - note: GRI-Mech -- name: CH2CO(25) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 956.67, 5000.0] - data: - - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, - 6.71175543e-12, -7123.94257, 5.74371829] - - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, - -2.51634772e-14, -7928.96904, -6.92134249] - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: C2H4(26) - composition: {C: 2, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 940.45, 5000.0] - data: - - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, - 2.31763871e-11, 5077.46136, 4.04626943] - - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, - -2.94663143e-14, 3936.266, -6.62431874] - transport: - model: gas - geometry: nonlinear - well-depth: 280.801 - diameter: 3.971 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: C2H5(27) - composition: {C: 2, H: 5} - thermo: - model: NASA7 - temperature-ranges: [100.0, 900.31, 5000.0] - data: - - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, - 2.37077381e-11, 1.30660124e+04, 7.61638915] - - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, - -1.43488224e-14, 1.20640959e+04, -2.91080147] - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech -- name: H2O(28) - composition: {H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1130.23, 5000.0] - data: - - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, - 2.12832915e-13, -3.02815866e+04, -0.311361934] - - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, - -5.79385325e-15, -2.99586146e+04, 5.91039666] - transport: - model: gas - geometry: nonlinear - well-depth: 572.402 - diameter: 2.605 - dipole: 1.844 - rotational-relaxation: 4.0 - note: GRI-Mech -- name: C(29) - composition: {C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, - 1.86626471e-22, 8.54745247e+04, 3.6597842] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, - 3.07921551e-15, 8.37233992e+04, -7.78837361] - transport: - model: gas - geometry: atom - well-depth: 71.4 - diameter: 3.298 - note: GRI-Mech -- name: HCCOH(30) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1009.86, 5000.0] - data: - - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, - 2.66329645e-12, 8782.03529, 7.19715805] - - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, - -2.74093715e-14, 7780.24104, -10.8313032] - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: CH2CHO(31) - composition: {C: 2, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 914.22, 5000.0] - data: - - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, - 3.24065242e-11, -2992.84324, 8.97316722] - - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, - 3.70308341e-14, -5941.56, -38.447418] - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: CH3CHO(32) - composition: {C: 2, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.2, 5000.0] - data: - - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, - 1.58857257e-11, -2.1380908e+04, 9.135651] - - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, - -6.71005518e-14, -2.23360269e+04, 0.900912176] - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech -- name: C3H8(33) - composition: {C: 3, H: 8} - thermo: - model: NASA7 - temperature-ranges: [100.0, 986.58, 5000.0] - data: - - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, - 1.87061921e-11, -1.44541763e+04, 10.0672893] - - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, - -1.05990444e-13, -1.60388983e+04, -8.8658229] - transport: - model: gas - geometry: nonlinear - well-depth: 266.801 - diameter: 4.982 - rotational-relaxation: 1.0 - note: GRI-Mech - -reactions: -- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 - rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} -- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 - rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} -- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 - rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 - rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 - rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 - rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} -- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 - rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} -- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 - rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} -- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 - rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} -- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 - rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} -- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 - rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} -- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 - rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} -- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 - rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} -- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 - rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 - rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} -- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} -- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} -- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 - rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} -- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 - rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} -- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} -- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 - rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} -- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 - rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} -- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 - rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} -- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 - rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} -- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 - rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} -- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 - rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} -- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 - rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} -- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 - rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} -- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 - rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} -- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 - rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} -- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} -- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 - rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 - rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} -- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 - rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 - rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} -- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 - rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} -- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 - rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} -- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 - rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} -- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 - rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} -- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 - rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} -- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 - rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} -- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 - rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} -- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 - rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} -- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} -- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 - rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} -- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} -- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 - rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} -- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 - rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} -- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 - rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 - duplicate: true - rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 - duplicate: true - rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 - duplicate: true - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 - duplicate: true - rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} -- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 - rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} -- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 - rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 - rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} -- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 - rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} -- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 - rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} -- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 - rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} -- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 - rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 - rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} -- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 - rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} -- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 - rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} -- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 - rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} -- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 - rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} -- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} -- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 - rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} -- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 - rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} -- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 - rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 - duplicate: true - rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 - duplicate: true - rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} -- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} -- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 - rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} -- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 - rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} -- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} -- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 - rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} -- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 - rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} -- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 - rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} -- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 - rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} -- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 - rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} -- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} -- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 - rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} -- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 - rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} -- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 - rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} -- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} -- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 - rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} -- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 - rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} -- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} -- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 - rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} -- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 - rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} -- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 - rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} -- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} -- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 - rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} -- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 - rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} -- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 - rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} -- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 - rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} -- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} -- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 - rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} -- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 - rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} -- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 - rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} -- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 - rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} -- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 - rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} -- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 - rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 - rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 - rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} -- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 - rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} -- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 - rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} -- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 - rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} -- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 - rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} -- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 - rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} -- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 - rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} -- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} -- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 - rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} -- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 - rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} -- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 - rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} -- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 - rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} -- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 - rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 - rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} -- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 - rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 - rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} -- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 - rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} -- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 - rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} -- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 - rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} -- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 - rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} -- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 - rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} -- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 - rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} -- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} -- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} -- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} -- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} -- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} -- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 - rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} -- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 - rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} -- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 - rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} -- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 - rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} -- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 - rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 - rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 - rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} -- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} -- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 - type: three-body - rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 2.4, CO2(17): 3.6, H2O(28): 15.4, - ethane(1): 3.0, Ar: 0.83} -- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 - type: three-body - rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, - ethane(1): 3.0, Ar: 0.7} -- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 - type: three-body - rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} - efficiencies: {CO2(17): 1.5, N2: 0.0, ethane(1): 1.5, O2(7): 0.0, - H2O(28): 0.0, Ar: 0.0} -- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 - type: three-body - rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, - ethane(1): 3.0, Ar: 0.63} -- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 - type: three-body - rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} - efficiencies: {H2O(28): 3.65, Ar: 0.38, ethane(1): 3.0, CH4(16): 2.0, - H2(3): 0.73} -- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 - type: three-body - rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 0.0, H2(3): 2.0} -- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 - type: falloff - low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} - high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, - ethane(1): 3.0, O2(7): 6.0, Ar: 0.5} -- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 - type: falloff - low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} - high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} - Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 - type: falloff - low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} - high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} - Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} - efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 - type: falloff - low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} - high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} - Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 - type: falloff - low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} - Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0} -- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 - type: falloff - low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} - Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} - efficiencies: {H2(3): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, CH4(16): 2.0} -- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 - type: falloff - low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} - high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} - Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0} -- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 - type: falloff - low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} - high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} - Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0} -- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 - type: falloff - low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} - high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} - Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 - type: falloff - low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} - high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} - Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} -- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 - type: falloff - low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} - high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} - Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 - type: falloff - low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} - Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 - type: falloff - low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} - high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} - Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} - efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, - H2(3): 2.0, H2O(28): 6.0} -- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 - type: falloff - low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} - high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} - Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 - type: falloff - low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} - high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} - Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 - type: falloff - low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} - high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0} -- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 - type: falloff - low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} - high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} -- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 - type: falloff - low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} - high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} - Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 - type: falloff - low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} - high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} - Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0} -- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 - type: falloff - low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} - high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, Ar: 0.7, H2O(28): 6.0} -- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 - type: falloff - low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} - high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} - Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} -- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 - type: falloff - low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} - high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} - Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 - type: falloff - low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} - high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} - Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): - 2.0, H2O(28): 6.0, Ar: 0.7} -- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 - type: falloff - low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} - high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} - Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} -- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 - rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} -- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 - rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} -- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 - rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} -- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 - rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 - rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} -- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 - rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} -- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 - rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} -- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 - rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml b/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml deleted file mode 100644 index ab0f6d37335..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/chemkin/chem37_annotated.yaml +++ /dev/null @@ -1,2148 +0,0 @@ -generator: ck2yaml -input-files: [chem_annotated.inp, tran.dat] -cantera-version: 2.6.0 -date: Fri, 06 Feb 2026 13:36:15 -0500 - -units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} - -phases: -- name: gas - thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, - X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), - O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), - CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), - C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), - C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -- symbol: X - atomic-weight: 195.083 - -species: -- name: N2 - composition: {N: 2} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, - 2.96747] - - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, - 5.87189] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 97.53 - diameter: 3.621 - polarizability: 1.76 - rotational-relaxation: 4.0 - note: GRI-Mech - note: N2 -- name: Ar - composition: {Ar: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 136.501 - diameter: 3.33 - note: GRI-Mech - note: Ar -- name: He - composition: {He: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 10.2 - diameter: 2.576 - note: NOx2018 - note: He -- name: Ne - composition: {Ne: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 148.6 - diameter: 3.758 - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. - This is the fallback method! Try improving transport databases! - note: Ne -- name: ethane(1) - composition: {C: 2, H: 6} - thermo: - model: NASA7 - temperature-ranges: [100.0, 954.51, 5000.0] - data: - - [3.78033462, -3.2426248e-03, 5.52380397e-05, -6.38580942e-08, 2.28636966e-11, - -1.16203409e+04, 5.21033695] - - [4.58983307, 0.0141507715, -4.75962003e-06, 8.60293917e-10, -6.21716348e-14, - -1.27217663e+04, -3.61740116] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech - note: ethane(1) -- name: O(2) - composition: {O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 2.92302441e+04, 5.12616427] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 2.74791187e+04, -6.32199355] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: O(2) -- name: H2(3) - composition: {H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1959.07, 5000.0] - data: - - [3.43536393, 2.12711953e-04, -2.78628671e-07, 3.40270013e-10, -7.76039045e-14, - -1031.35983, -3.90841661] - - [2.78818509, 5.87615921e-04, 1.5902213e-07, -5.52762536e-11, 4.3432812e-15, - -596.155632, 0.112618494] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 38.0 - diameter: 2.92 - polarizability: 0.79 - rotational-relaxation: 280.0 - note: GRI-Mech - note: H2(3) -- name: H(4) - composition: {H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 2.54742178e+04, -0.444972899] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 2.37230923e+04, -11.8931307] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 145.0 - diameter: 2.05 - note: GRI-Mech - note: H(4) -- name: OH(5) - composition: {H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1145.76, 5000.0] - data: - - [3.51456839, 2.92734292e-05, -5.32150598e-07, 1.01947521e-09, -3.85939405e-13, - 3414.25418, 2.10434756] - - [3.07193724, 6.04019839e-04, -1.3980593e-08, -2.13440813e-11, 2.48061367e-15, - 3579.38792, 4.57801469] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: OH(5) -- name: HO2(6) - composition: {H: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 932.15, 5000.0] - data: - - [4.04594488, -1.73464779e-03, 1.03766518e-05, -1.02202522e-08, 3.34908581e-12, - -986.754245, 4.63581294] - - [3.21023857, 3.67941991e-03, -1.27701572e-06, 2.18045259e-10, -1.46337935e-14, - -910.368497, 8.1829188] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) - + radical(HOOJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 1.0 - note: GRI-Mech - note: HO2(6) -- name: O2(7) - composition: {O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1074.55, 5000.0] - data: - - [3.53732243, -1.21571647e-03, 5.31620254e-06, -4.89446434e-09, 1.45846258e-12, - -1038.58849, 4.68368183] - - [3.15382081, 1.67804371e-03, -7.69974236e-07, 1.51275462e-10, -1.08782414e-14, - -1040.81728, 6.16755832] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 107.4 - diameter: 3.458 - polarizability: 1.6 - rotational-relaxation: 3.8 - note: GRI-Mech - note: O2(7) -- name: H2O2(8) - composition: {H: 2, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 908.87, 5000.0] - data: - - [3.73136061, 3.35067714e-03, 9.35045149e-06, -1.52101308e-08, 6.41593098e-12, - -1.77211709e+04, 5.4590992] - - [5.41578065, 2.61009268e-03, -4.39898683e-07, 4.91103613e-11, -3.35202076e-15, - -1.83029497e+04, -4.02244574] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 3.8 - note: GRI-Mech - note: H2O2(8) -- name: CH(9) - composition: {C: 1, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 926.51, 5000.0] - data: - - [4.11489227, -3.6116144e-04, -6.34699134e-06, 1.0588285e-08, -4.57034328e-12, - 7.5083855e+04, 1.61266477] - - [2.33970628, 1.75862638e-03, -8.02942959e-07, 1.40463687e-10, -8.47548969e-15, - 7.56507618e+04, 11.3255931] - note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: CH(9) -- name: CO(10) - composition: {C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1571.64, 5000.0] - data: - - [3.56838006, -8.5212634e-04, 2.48917989e-06, -1.56331226e-09, 3.13595852e-13, - -1.42842549e+04, 3.57912151] - - [2.91306239, 1.64658456e-03, -6.8861821e-07, 1.21038081e-10, -7.84023563e-15, - -1.41808823e+04, 6.71048256] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 98.1 - diameter: 3.65 - polarizability: 1.95 - rotational-relaxation: 1.8 - note: GRI-Mech - note: CO(10) -- name: CH2(11) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1104.61, 5000.0] - data: - - [4.01192385, -1.54978476e-04, 3.26297763e-06, -2.40421771e-09, 5.69496611e-13, - 4.58676802e+04, 0.533200599] - - [3.14983376, 2.96674278e-03, -9.76055956e-07, 1.54115307e-10, -9.50338343e-15, - 4.60581391e+04, 4.77807727] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: CH2(11) -- name: HCO(12) - composition: {C: 1, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1565.71, 5000.0] - data: - - [4.35602505, -3.47091844e-03, 1.25665423e-05, -9.99500707e-09, 2.2789219e-12, - 3995.7703, 2.75110901] - - [4.61850071, 5.04480112e-03, -4.39252757e-06, 9.73307969e-10, -7.07455829e-14, - 2787.59278, -2.2286268] - note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - note: GRI-Mech - note: HCO(12) -- name: CH2(S)(13) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1442.37, 5000.0] - data: - - [4.10264237, -1.44067036e-03, 5.45065169e-06, -3.57998325e-09, 7.56181002e-13, - 5.04005786e+04, -0.411760728] - - [2.62650125, 3.94758901e-03, -1.49922047e-06, 2.54534597e-10, -1.62952281e-14, - 5.06917394e+04, 6.78363319] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: CH2(S)(13) -- name: CH3(14) - composition: {C: 1, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1337.63, 5000.0] - data: - - [3.91546761, 1.84154318e-03, 3.48741774e-06, -3.32747622e-09, 8.49956934e-13, - 1.62856394e+04, 0.351741472] - - [3.54145742, 4.76786844e-03, -1.82148431e-06, 3.28876598e-10, -2.22545603e-14, - 1.62239579e+04, 1.66035007] - note: 'Thermo library: primaryThermoLibrary + radical(CH3)' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: CH3(14) -- name: CH2O(15) - composition: {C: 1, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1402.28, 5000.0] - data: - - [4.3228972, -5.06328473e-03, 2.15155951e-05, -1.76521807e-08, 4.31816316e-12, - -1.42789565e+04, 2.39242073] - - [3.17992692, 9.55602674e-03, -6.27303581e-06, 1.33554981e-09, -9.68413887e-14, - -1.50752145e+04, 4.310906] - note: 'Thermo group additivity estimation: group(Cds-OdHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH2O(15) -- name: CH4(16) - composition: {C: 1, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1084.12, 5000.0] - data: - - [4.20541633, -5.3555862e-03, 2.51123688e-05, -2.13763364e-08, 5.97526027e-12, - -1.01619434e+04, -0.921283218] - - [0.90825943, 0.0114540962, -4.57174412e-06, 8.29193029e-10, -5.66316007e-14, - -9719.97168, 13.9931301] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 141.4 - diameter: 3.746 - polarizability: 2.6 - rotational-relaxation: 13.0 - note: GRI-Mech - note: CH4(16) -- name: CO2(17) - composition: {C: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 988.88, 5000.0] - data: - - [3.27861947, 2.74142452e-03, 7.16108738e-06, -1.08031902e-08, 4.14301837e-12, - -4.84703148e+04, 5.97933601] - - [4.54606397, 2.91918722e-03, -1.15486863e-06, 2.27661099e-10, -1.70916113e-14, - -4.89803462e+04, -1.43256811] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) - + group(Cdd-OdOd)' - transport: - model: gas - geometry: linear - well-depth: 244.001 - diameter: 3.763 - polarizability: 2.65 - rotational-relaxation: 2.1 - note: GRI-Mech - note: CO2(17) -- name: CH2OH(18) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 895.02, 5000.0] - data: - - [3.71173158, 1.9312552e-03, 2.1233439e-05, -3.03146919e-08, 1.24872943e-11, - -4007.45885, 7.29205125] - - [6.05634101, 3.02166398e-03, 1.72535781e-08, -6.96379836e-11, 5.18305721e-15, - -4890.52242, -6.34789026] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) - + radical(CsJOH)' - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH2OH(18) -- name: CH3O(19) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 916.88, 5000.0] - data: - - [4.0013584, -4.15684652e-03, 3.26354722e-05, -3.7111866e-08, 1.35709435e-11, - -6.1526064, 6.81371105] - - [4.01622143, 6.2681363e-03, -1.58068297e-06, 2.44607167e-10, -1.70337706e-14, - -449.804491, 4.33880987] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) - + radical(H3COJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH3O(19) -- name: CH3OH(20) - composition: {C: 1, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 952.14, 5000.0] - data: - - [3.89496186, -7.71353177e-04, 2.64755154e-05, -2.9179362e-08, 1.00834696e-11, - -2.63358548e+04, 6.36475927] - - [3.13807836, 0.0103542063, -3.56957315e-06, 6.22286689e-10, -4.27805556e-14, - -2.65518956e+04, 8.0877776] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 481.802 - diameter: 3.626 - rotational-relaxation: 1.0 - note: GRI-Mech - note: CH3OH(20) -- name: C2H(21) - composition: {C: 2, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1076.57, 5000.0] - data: - - [3.03852588, 0.011544974, -2.13265852e-05, 1.81935082e-08, -5.41599321e-12, - 6.63980142e+04, 5.96677301] - - [4.00849089, 2.06810906e-03, 6.05272976e-08, -1.17714516e-10, 1.29286839e-14, - 6.65295062e+04, 2.7963513] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) - + radical(Acetyl)' - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech - note: C2H(21) -- name: C2H2(22) - composition: {C: 2, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 888.63, 5000.0] - data: - - [3.03573895, 7.71249669e-03, 2.53452132e-06, -1.08127265e-08, 5.50729325e-12, - 2.58526447e+04, 4.54464265] - - [5.76206627, 2.37155039e-03, -1.49560503e-07, -2.19208164e-11, 2.21824257e-15, - 2.50944416e+04, -9.82620311] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech - note: C2H2(22) -- name: HCCO(23) - composition: {C: 2, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 936.06, 5000.0] - data: - - [3.4564742, 0.0105728459, -7.35988754e-06, 7.97360102e-10, 8.64536182e-13, - 2.2595688e+04, 7.09495919] - - [5.99810075, 3.14480497e-03, -9.57807088e-07, 1.55622583e-10, -1.04309541e-14, - 2.19694663e+04, -5.8023368] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d) + radical(Cds_P)' - transport: - model: gas - geometry: nonlinear - well-depth: 150.001 - diameter: 2.5 - rotational-relaxation: 1.0 - note: GRI-Mech - note: HCCO(23) -- name: C2H3(24) - composition: {C: 2, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.96, 5000.0] - data: - - [3.90670476, -4.06240187e-03, 3.86779713e-05, -4.62975954e-08, 1.7290018e-11, - 3.47971783e+04, 6.09789219] - - [5.44796766, 4.98355762e-03, -1.08820555e-06, 1.79836782e-10, -1.45095844e-14, - 3.38297738e+04, -4.87809437] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) - + radical(Cds_P)' - transport: - model: gas - geometry: nonlinear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 1.0 - note: GRI-Mech - note: C2H3(24) -- name: CH2CO(25) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 956.67, 5000.0] - data: - - [3.52748487, 7.08343168e-03, 9.17809986e-06, -1.64267601e-08, 6.71175543e-12, - -7123.94257, 5.74371829] - - [5.764874, 5.96572389e-03, -1.98494177e-06, 3.52762911e-10, -2.51634772e-14, - -7928.96904, -6.92134249] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH2CO(25) -- name: C2H4(26) - composition: {C: 2, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 940.45, 5000.0] - data: - - [3.97973264, -7.57545379e-03, 5.5296787e-05, -6.36214316e-08, 2.31763871e-11, - 5077.46136, 4.04626943] - - [5.20303125, 7.82435984e-03, -2.12679614e-06, 3.79681495e-10, -2.94663143e-14, - 3936.266, -6.62431874] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 280.801 - diameter: 3.971 - rotational-relaxation: 1.5 - note: GRI-Mech - note: C2H4(26) -- name: C2H5(27) - composition: {C: 2, H: 5} - thermo: - model: NASA7 - temperature-ranges: [100.0, 900.31, 5000.0] - data: - - [3.82184856, -3.43376314e-03, 5.0926334e-05, -6.20220235e-08, 2.37077381e-11, - 1.30660124e+04, 7.61638915] - - [5.1561757, 9.4312837e-03, -1.81949426e-06, 2.21204013e-10, -1.43488224e-14, - 1.20640959e+04, -2.91080147] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) - + radical(CCJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech - note: C2H5(27) -- name: H2O(28) - composition: {H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1130.23, 5000.0] - data: - - [4.05763524, -7.87929225e-04, 2.90875322e-06, -1.47516271e-09, 2.12832915e-13, - -3.02815866e+04, -0.311361934] - - [2.84325454, 2.75107882e-03, -7.81027793e-07, 1.07242789e-10, -5.79385325e-15, - -2.99586146e+04, 5.91039666] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 572.402 - diameter: 2.605 - dipole: 1.844 - rotational-relaxation: 4.0 - note: GRI-Mech - note: H2O(28) -- name: C(29) - composition: {C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 4879.8, 5000.0] - data: - - [2.5, -3.01680531e-12, 3.74582141e-15, -1.50856878e-18, 1.86626471e-22, - 8.54745247e+04, 3.6597842] - - [4.28461071, -1.45494649e-03, 4.44804306e-07, -6.04359642e-11, 3.07921551e-15, - 8.37233992e+04, -7.78837361] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 71.4 - diameter: 3.298 - note: GRI-Mech - note: C(29) -- name: HCCOH(30) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1009.86, 5000.0] - data: - - [3.30409429, 0.0125024096, -3.79492701e-06, -4.46346789e-09, 2.66329645e-12, - 8782.03529, 7.19715805] - - [6.71244211, 5.14835255e-03, -2.00079613e-06, 3.78822062e-10, -2.74093715e-14, - 7780.24104, -10.8313032] - note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) - + group(Ct-CtH)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: HCCOH(30) -- name: CH2CHO(31) - composition: {C: 2, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 914.22, 5000.0] - data: - - [3.34713045, 1.28810356e-03, 5.39955564e-05, -7.84100011e-08, 3.24065242e-11, - -2992.84324, 8.97316722] - - [11.7262067, -1.47378307e-03, 2.90753818e-06, -5.97029178e-10, 3.70308341e-14, - -5941.56, -38.447418] - note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) - + group(Cds-CdsHH) + radical(C=COJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH2CHO(31) -- name: CH3CHO(32) - composition: {C: 2, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.2, 5000.0] - data: - - [3.70078172, 3.87924337e-04, 3.86925504e-05, -4.52442593e-08, 1.58857257e-11, - -2.1380908e+04, 9.135651] - - [4.58892312, 0.012889323, -4.9149908e-06, 9.26501375e-10, -6.71005518e-14, - -2.23360269e+04, 0.900912176] - note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + - group(Cds-OdCsH)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: CH3CHO(32) -- name: C3H8(33) - composition: {C: 3, H: 8} - thermo: - model: NASA7 - temperature-ranges: [100.0, 986.58, 5000.0] - data: - - [3.05255379, 0.0125100867, 3.79381018e-05, -5.12015148e-08, 1.87061921e-11, - -1.44541763e+04, 10.0672893] - - [5.91321092, 0.0218761736, -8.17656139e-06, 1.4985343e-09, -1.05990444e-13, - -1.60388983e+04, -8.8658229] - note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) - + group(Cs-CsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 266.801 - diameter: 4.982 - rotational-relaxation: 1.0 - note: GRI-Mech - note: C3H8(33) - -reactions: -- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 - rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} - note: |- - Reaction index: Chemkin #1; RMG #1 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), OH(5); H2(3), H(4); -- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #2; RMG #2 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), O2(7); O(2), OH(5); -- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 - rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} - note: |- - Reaction index: Chemkin #3; RMG #3 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), HO2(6); O(2), OH(5); -- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 - rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #4; RMG #4 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CO(10); O(2), H(4); -- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 - rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #5; RMG #5 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), HCO(12); O(2), H(4); -- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #6; RMG #6 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O(2), H2(3); -- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #7; RMG #7 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), HCO(12); O(2), H(4); -- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 - rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #8; RMG #8 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); O(2), H(4); -- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 - rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} - note: |- - Reaction index: Chemkin #9; RMG #9 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); O(2), OH(5); -- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #10; RMG #10 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); O(2), OH(5); -- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #11; RMG #11 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO2(17); O(2), H(4); -- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 - rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} - note: |- - Reaction index: Chemkin #12; RMG #12 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); O(2), OH(5); -- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #13; RMG #13 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); O(2), OH(5); -- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #14; RMG #14 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); O(2), OH(5); -- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 - rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} - note: |- - Reaction index: Chemkin #15; RMG #15 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); O(2), OH(5); -- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 - rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} - note: |- - Reaction index: Chemkin #16; RMG #16 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); O(2), OH(5); -- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #17; RMG #17 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), CO(10); O(2), CH(9); -- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 - rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} - note: |- - Reaction index: Chemkin #18; RMG #18 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), HCCO(23); O(2), H(4); -- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 - rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} - note: |- - Reaction index: Chemkin #19; RMG #19 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), C2H(21); O(2), OH(5); -- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 - rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} - note: |- - Reaction index: Chemkin #20; RMG #20 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CO(10); O(2), CH2(11); -- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #21; RMG #21 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2CO(25); O(2), H(4); -- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 - rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} - note: |- - Reaction index: Chemkin #22; RMG #22 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), HCO(12); O(2), CH3(14); -- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 - rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #23; RMG #23 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), CH2O(15); O(2), CH3(14); -- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 - rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} - note: |- - Reaction index: Chemkin #24; RMG #24 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); O(2), OH(5); -- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #25; RMG #25 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); O(2), H(4); O(2), CO(10); -- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} - note: |- - Reaction index: Chemkin #26; RMG #26 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); O(2), OH(5); -- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 - rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} - note: |- - Reaction index: Chemkin #27; RMG #27 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), CO2(17); O(2), CH2(11); -- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 - rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} - note: |- - Reaction index: Chemkin #28; RMG #28 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); O2(7), O(2); -- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} - note: |- - Reaction index: Chemkin #29; RMG #29 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); O2(7), HO2(6); -- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 - rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} - note: |- - Reaction index: Chemkin #30; RMG #30 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), O2(7); O2(7), O2(7); -- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 - rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} - note: |- - Reaction index: Chemkin #31; RMG #31 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), H2O(28); H2O(28), H2O(28); -- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 - rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} - note: |- - Reaction index: Chemkin #32; RMG #32 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), OH(5); H(4), O(2); -- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 - rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} - note: |- - Reaction index: Chemkin #33; RMG #33 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), H2(3); H(4), H2(3); H(4), H2(3); -- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 - rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} - note: |- - Reaction index: Chemkin #34; RMG #34 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O(28), H2O(28); H(4), H2(3); H(4), H2(3); -- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 - rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #35; RMG #35 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CO2(17); H(4), H2(3); H(4), H2(3); -- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 - rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} - note: |- - Reaction index: Chemkin #36; RMG #36 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), H2O(28); H(4), O(2); -- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 - rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} - note: |- - Reaction index: Chemkin #37; RMG #37 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), O2(7); H(4), H2(3); -- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 - rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} - note: |- - Reaction index: Chemkin #38; RMG #38 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), OH(5); H(4), OH(5); -- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 - rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} - note: |- - Reaction index: Chemkin #39; RMG #39 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), HO2(6); H(4), H2(3); -- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} - note: |- - Reaction index: Chemkin #40; RMG #40 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), H2O(28); H(4), OH(5); -- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 - rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #41; RMG #41 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), C(29); H(4), H2(3); -- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #42; RMG #42 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH(9); H(4), H2(3); -- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 - rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} - note: |- - Reaction index: Chemkin #43; RMG #43 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); H(4), H2(3); -- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 - rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #44; RMG #44 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); H(4), H2(3); -- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 - rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} - note: |- - Reaction index: Chemkin #45; RMG #45 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); H(4), H2(3); -- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #46; RMG #46 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); H(4), H2(3); -- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 - rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} - note: |- - Reaction index: Chemkin #47; RMG #47 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH3(14); H(4), OH(5); -- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 - rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} - note: |- - Reaction index: Chemkin #48; RMG #48 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2(S)(13); H(4), H2O(28); -- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 - rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} - note: |- - Reaction index: Chemkin #49; RMG #49 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2OH(18); H(4), H(4); -- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #50; RMG #50 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); H(4), H2(3); -- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 - rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} - note: |- - Reaction index: Chemkin #51; RMG #51 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH3(14); H(4), OH(5); -- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 - rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} - note: |- - Reaction index: Chemkin #52; RMG #52 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2(S)(13); H(4), H2O(28); -- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 - rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} - note: |- - Reaction index: Chemkin #53; RMG #53 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); H(4), H2(3); -- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 - rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} - note: |- - Reaction index: Chemkin #54; RMG #54 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); H(4), H2(3); -- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #55; RMG #55 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); H(4), H2(3); -- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 - rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} - note: |- - Reaction index: Chemkin #56; RMG #56 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); H(4), H2(3); -- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #57; RMG #57 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), C2H4(26); H(4), H2(3); -- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 - rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} - note: |- - Reaction index: Chemkin #58; RMG #58 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); H(4), H2(3); -- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #59; RMG #59 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); H(4), CH2(S)(13); -- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} - note: |- - Reaction index: Chemkin #60; RMG #60 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); H(4), H2(3); -- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 - rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} - note: |- - Reaction index: Chemkin #61; RMG #61 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), CO(10); H(4), CH3(14); -- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #62; RMG #62 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCOH(30), CH2CO(25); H(4), H(4); -- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 - rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} - note: |- - Reaction index: Chemkin #63; RMG #63 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O(28); H2(3), H(4); -- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 - rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} - note: |- - Reaction index: Chemkin #64; RMG #64 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O(28); OH(5), O(2); -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 - duplicate: true - rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} - note: |- - Reaction index: Chemkin #65; RMG #65 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 - duplicate: true - rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} - note: |- - Reaction index: Chemkin #66; RMG #65 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 - duplicate: true - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} - note: |- - Reaction index: Chemkin #67; RMG #66 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 - duplicate: true - rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} - note: |- - Reaction index: Chemkin #68; RMG #66 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #69; RMG #67 - Library reaction: GRI-Mech3.0 - Flux pairs: C(29), CO(10); OH(5), H(4); -- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #70; RMG #68 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), HCO(12); OH(5), H(4); -- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #71; RMG #69 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); OH(5), H(4); -- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 - rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} - note: |- - Reaction index: Chemkin #72; RMG #70 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH(9); OH(5), H2O(28); -- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #73; RMG #71 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2O(15); OH(5), H(4); -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 - rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} - note: |- - Reaction index: Chemkin #74; RMG #72 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2(11); OH(5), H2O(28); -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 - rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} - note: |- - Reaction index: Chemkin #75; RMG #73 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2(S)(13); OH(5), H2O(28); -- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 - rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} - note: |- - Reaction index: Chemkin #76; RMG #74 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); OH(5), H2O(28); -- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 - rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} - note: |- - Reaction index: Chemkin #77; RMG #75 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); OH(5), H(4); -- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #78; RMG #76 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); OH(5), H2O(28); -- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 - rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} - note: |- - Reaction index: Chemkin #79; RMG #77 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); OH(5), H2O(28); -- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #80; RMG #78 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); OH(5), H2O(28); -- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #81; RMG #79 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); OH(5), H2O(28); -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 - rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} - note: |- - Reaction index: Chemkin #82; RMG #80 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); OH(5), H2O(28); -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 - rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} - note: |- - Reaction index: Chemkin #83; RMG #81 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); OH(5), H2O(28); -- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #84; RMG #82 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), HCCO(23); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 - rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} - note: |- - Reaction index: Chemkin #85; RMG #83 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CH2CO(25); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 - rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} - note: |- - Reaction index: Chemkin #86; RMG #84 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), HCCOH(30); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 - rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} - note: |- - Reaction index: Chemkin #87; RMG #85 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), C2H(21); OH(5), H2O(28); -- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 - rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} - note: |- - Reaction index: Chemkin #88; RMG #86 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CO(10); OH(5), CH3(14); -- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #89; RMG #87 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); OH(5), H2O(28); -- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 - rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} - note: |- - Reaction index: Chemkin #90; RMG #88 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); OH(5), H2O(28); -- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 - rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} - note: |- - Reaction index: Chemkin #91; RMG #89 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); OH(5), H2O(28); -- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 - rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} - note: |- - Reaction index: Chemkin #92; RMG #90 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); OH(5), H2O(28); -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 - duplicate: true - rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} - note: |- - Reaction index: Chemkin #93; RMG #91 - Library reaction: GRI-Mech3.0 -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 - duplicate: true - rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} - note: |- - Reaction index: Chemkin #94; RMG #91 - Library reaction: GRI-Mech3.0 -- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #95; RMG #92 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); HO2(6), OH(5); -- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 - rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #96; RMG #93 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH4(16); HO2(6), O2(7); -- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 - rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #97; RMG #94 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH3O(19); HO2(6), OH(5); -- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} - note: |- - Reaction index: Chemkin #98; RMG #95 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); HO2(6), OH(5); -- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 - rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} - note: |- - Reaction index: Chemkin #99; RMG #96 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); HO2(6), H2O2(8); -- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 - rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} - note: |- - Reaction index: Chemkin #100; RMG #97 - Library reaction: GRI-Mech3.0 - Flux pairs: C(29), CO(10); O2(7), O(2); -- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #101; RMG #98 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H(21); C(29), H(4); -- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #102; RMG #99 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H2(22); C(29), H(4); -- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 - rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #103; RMG #100 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), HCO(12); O2(7), O(2); -- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 - rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} - note: |- - Reaction index: Chemkin #104; RMG #101 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CH2(11); H2(3), H(4); -- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 - rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} - note: |- - Reaction index: Chemkin #105; RMG #102 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CH2O(15); H2O(28), H(4); -- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #106; RMG #103 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH(9), H(4); -- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #107; RMG #104 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H3(24); CH(9), H(4); -- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 - rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #108; RMG #105 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), C2H4(26); CH(9), H(4); -- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 - rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} - note: |- - Reaction index: Chemkin #109; RMG #106 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), HCO(12); CH(9), CO(10); -- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 - rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} - note: |- - Reaction index: Chemkin #110; RMG #107 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), CH2CO(25); CH(9), H(4); -- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #111; RMG #108 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H2(22); CH(9), CO(10); -- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} - note: |- - Reaction index: Chemkin #112; RMG #109 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CO(10); O2(7), H(4); O2(7), OH(5); -- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 - rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} - note: |- - Reaction index: Chemkin #113; RMG #110 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH3(14); H2(3), H(4); -- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 - rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} - note: |- - Reaction index: Chemkin #114; RMG #111 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH2(11), H2(3); -- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #115; RMG #112 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H4(26); CH2(11), H(4); -- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 - rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} - note: |- - Reaction index: Chemkin #116; RMG #113 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); CH2(11), CH3(14); -- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #117; RMG #114 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H3(24); CH2(11), CO(10); -- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 - rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #118; RMG #115 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O2(7), H(4); O2(7), OH(5); -- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #119; RMG #116 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O2(7), H2O(28); -- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 - rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #120; RMG #117 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH3(14); H2(3), H(4); -- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #121; RMG #118 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2(11); H2O(28), H2O(28); -- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} - note: |- - Reaction index: Chemkin #122; RMG #119 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H4(26); CH2(S)(13), H(4); -- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 - rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} - note: |- - Reaction index: Chemkin #123; RMG #120 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); CH2(S)(13), CH3(14); -- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 - rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #124; RMG #121 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO(10); CH2(S)(13), CH2(11); -- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 - rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #125; RMG #122 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CO2(17); CH2(S)(13), CH2(11); -- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 - rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #126; RMG #123 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CH2O(15); CH2(S)(13), CO(10); -- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} - note: |- - Reaction index: Chemkin #127; RMG #124 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); CH2(S)(13), CH3(14); -- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 - rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} - note: |- - Reaction index: Chemkin #128; RMG #125 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH3O(19); O2(7), O(2); -- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 - rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} - note: |- - Reaction index: Chemkin #129; RMG #126 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); O2(7), OH(5); -- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 - rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} - note: |- - Reaction index: Chemkin #130; RMG #127 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH4(16); H2O2(8), HO2(6); -- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 - rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} - note: |- - Reaction index: Chemkin #131; RMG #128 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H5(27); CH3(14), H(4); -- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 - rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #132; RMG #129 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); CH3(14), CH4(16); -- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 - rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} - note: |- - Reaction index: Chemkin #133; RMG #130 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); CH3(14), CH4(16); -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 - rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} - note: |- - Reaction index: Chemkin #134; RMG #131 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); CH3(14), CH4(16); -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 - rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} - note: |- - Reaction index: Chemkin #135; RMG #132 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); CH3(14), CH4(16); -- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 - rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} - note: |- - Reaction index: Chemkin #136; RMG #133 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); CH3(14), CH4(16); -- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 - rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} - note: |- - Reaction index: Chemkin #137; RMG #134 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); CH3(14), CH4(16); -- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 - rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} - note: |- - Reaction index: Chemkin #138; RMG #135 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); H2O(28), H(4); H2O(28), H2O(28); -- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 - rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} - note: |- - Reaction index: Chemkin #139; RMG #136 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); O2(7), HO2(6); -- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 - rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} - note: |- - Reaction index: Chemkin #140; RMG #137 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); O2(7), HO2(6); -- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 - rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} - note: |- - Reaction index: Chemkin #141; RMG #138 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); O2(7), HO2(6); -- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} - note: |- - Reaction index: Chemkin #142; RMG #139 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), HCO(12); O2(7), CO(10); -- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 - rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} - note: |- - Reaction index: Chemkin #143; RMG #140 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), C2H2(22); H2(3), H(4); -- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 - rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} - note: |- - Reaction index: Chemkin #144; RMG #141 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2O(15); O2(7), HCO(12); -- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 - rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} - note: |- - Reaction index: Chemkin #145; RMG #142 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), C2H4(26); O2(7), HO2(6); -- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 - rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} - note: |- - Reaction index: Chemkin #146; RMG #143 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); O2(7), OH(5); O2(7), CO(10); -- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #147; RMG #144 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H2(22); HCCO(23), CO(10); HCCO(23), CO(10); -- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 - rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #148; RMG #145 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CO(10); O(2), H(4); O(2), H2(3); -- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 - rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} - note: |- - Reaction index: Chemkin #149; RMG #146 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), CH2CHO(31); O(2), H(4); -- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 - rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #150; RMG #147 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), CH3CHO(32); O(2), H(4); -- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 - rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} - note: |- - Reaction index: Chemkin #151; RMG #148 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); OH(5), H2(3); -- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 - rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} - note: |- - Reaction index: Chemkin #152; RMG #149 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CO2(17); O2(7), H(4); O2(7), H(4); -- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 - rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} - note: |- - Reaction index: Chemkin #153; RMG #150 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); O2(7), O(2); -- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 - rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} - note: |- - Reaction index: Chemkin #154; RMG #151 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH2(11), H(4); CH2(11), H(4); -- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 - rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} - note: |- - Reaction index: Chemkin #155; RMG #152 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2O(15); H2O(28), H2(3); -- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 - rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} - note: |- - Reaction index: Chemkin #156; RMG #153 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2CHO(31); O2(7), O(2); -- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 - rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} - note: |- - Reaction index: Chemkin #157; RMG #154 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); O2(7), HO2(6); -- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} - note: |- - Reaction index: Chemkin #158; RMG #155 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CH2CHO(31); O(2), OH(5); -- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} - note: |- - Reaction index: Chemkin #159; RMG #156 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); O(2), OH(5); O(2), CH3(14); -- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} - note: |- - Reaction index: Chemkin #160; RMG #157 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); O2(7), HO2(6); O2(7), CH3(14); -- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} - note: |- - Reaction index: Chemkin #161; RMG #158 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CH2CHO(31); H(4), H2(3); -- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} - note: |- - Reaction index: Chemkin #162; RMG #159 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); H(4), H2(3); H(4), CH3(14); -- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 - rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} - note: |- - Reaction index: Chemkin #163; RMG #160 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); OH(5), H2O(28); OH(5), CH3(14); -- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 - rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} - note: |- - Reaction index: Chemkin #164; RMG #161 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); HO2(6), H2O2(8); HO2(6), CH3(14); -- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 - rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} - note: |- - Reaction index: Chemkin #165; RMG #162 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); CH3(14), CH3(14); CH3(14), CH4(16); -- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #166; RMG #163 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CO2(17); O(2), H(4); O(2), CH2(11); -- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 - rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #167; RMG #164 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2O(15); O2(7), OH(5); O2(7), CO(10); -- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 - rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #168; RMG #165 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), HCO(12); O2(7), OH(5); O2(7), HCO(12); -- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 - rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #169; RMG #166 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), HCO(12); H(4), CH3(14); -- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 - rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #170; RMG #167 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2CO(25); H(4), H2(3); -- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #171; RMG #168 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2CO(25); OH(5), H2O(28); -- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #172; RMG #169 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2OH(18); OH(5), HCO(12); -- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 - type: three-body - rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 2.4, CO2(17): 3.6, H2O(28): 15.4, - ethane(1): 3.0, Ar: 0.83} - note: |- - Reaction index: Chemkin #173; RMG #170 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), O2(7); O(2), O2(7); -- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 - type: three-body - rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 2.0, H2O(28): 6.0, ethane(1): 3.0, - Ar: 0.7} - note: |- - Reaction index: Chemkin #174; RMG #171 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), OH(5); H(4), OH(5); -- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 - type: three-body - rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} - efficiencies: {H2O(28): 0.0, O2(7): 0.0, N2: 0.0, Ar: 0.0, CO2(17): 1.5, - ethane(1): 1.5} - note: |- - Reaction index: Chemkin #175; RMG #172 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), HO2(6); -- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 - type: three-body - rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, H2(3): 0.0, CO2(17): 0.0, H2O(28): 0.0, ethane(1): 3.0, - Ar: 0.63} - note: |- - Reaction index: Chemkin #176; RMG #173 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), H2(3); H(4), H2(3); -- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 - type: three-body - rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, Ar: 0.38, CH4(16): 2.0, H2O(28): 3.65, - H2(3): 0.73} - note: |- - Reaction index: Chemkin #177; RMG #174 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), H2O(28); OH(5), H2O(28); -- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 - type: three-body - rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 0.0, - H2(3): 2.0} - note: |- - Reaction index: Chemkin #178; RMG #175 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), H(4); HCO(12), CO(10); -- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 - type: falloff - low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} - high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} - efficiencies: {CH4(16): 2.0, H2(3): 2.0, CO2(17): 3.5, H2O(28): 6.0, ethane(1): 3.0, - O2(7): 6.0, Ar: 0.5} - note: |- - Reaction index: Chemkin #179; RMG #176 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), CO2(17); CO(10), CO2(17); -- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 - type: falloff - low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} - high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} - Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #180; RMG #177 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3(14); CH2(11), CH3(14); -- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 - type: falloff - low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} - high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} - Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} - efficiencies: {CO2(17): 2.0, CH4(16): 3.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #181; RMG #178 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH4(16); CH3(14), CH4(16); -- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 - type: falloff - low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} - high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} - Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} - efficiencies: {H2O(28): 6.0, H2(3): 2.0, Ar: 0.7, CO2(17): 2.0, ethane(1): 3.0, - CH4(16): 2.0} - note: |- - Reaction index: Chemkin #182; RMG #179 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2O(15); HCO(12), CH2O(15); -- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 - type: falloff - low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} - Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #183; RMG #180 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2OH(18); CH2O(15), CH2OH(18); -- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 - type: falloff - low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} - Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #184; RMG #181 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3O(19); CH2O(15), CH3O(19); -- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 - type: falloff - low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} - high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} - Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #185; RMG #182 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3OH(20); CH2OH(18), CH3OH(20); -- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 - type: falloff - low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} - high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} - Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #186; RMG #183 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3OH(20); CH3O(19), CH3OH(20); -- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 - type: falloff - low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} - high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} - Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #187; RMG #184 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H2(22); C2H(21), C2H2(22); -- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 - type: falloff - low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} - high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} - Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #188; RMG #185 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H3(24); C2H2(22), C2H3(24); -- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 - type: falloff - low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} - high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} - Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} - efficiencies: {Ar: 0.7, CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #189; RMG #186 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H4(26); C2H3(24), C2H4(26); -- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 - type: falloff - low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} - Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #190; RMG #187 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H5(27); C2H4(26), C2H5(27); -- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 - type: falloff - low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} - high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} - Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #191; RMG #188 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), ethane(1); C2H5(27), ethane(1); -- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 - type: falloff - low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} - high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} - Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #192; RMG #189 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), CH2O(15); CO(10), CH2O(15); -- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 - type: falloff - low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} - high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} - Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, ethane(1): 3.0, H2(3): 2.0, H2O(28): 6.0, - Ar: 0.7, CH4(16): 2.0} - note: |- - Reaction index: Chemkin #193; RMG #190 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O2(8); OH(5), H2O2(8); -- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 - type: falloff - low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} - high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #194; RMG #191 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), CH3OH(20); CH3(14), CH3OH(20); -- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 - type: falloff - low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} - high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #195; RMG #192 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), HCCO(23); CH(9), HCCO(23); -- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 - type: falloff - low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} - high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} - Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #196; RMG #193 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CH2CO(25); CH2(11), CH2CO(25); -- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 - type: falloff - low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} - high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} - Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0} - note: |- - Reaction index: Chemkin #197; RMG #194 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O(28), CH3OH(20); CH2(S)(13), CH3OH(20); -- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 - type: falloff - low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} - high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #198; RMG #195 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), ethane(1); CH3(14), ethane(1); -- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 - type: falloff - low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} - high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} - Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): 6.0, - H2(3): 2.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #199; RMG #196 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), H2(3); C2H4(26), C2H2(22); -- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 - type: falloff - low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} - high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} - Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, H2O(28): 6.0, ethane(1): 3.0, - H2(3): 2.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #200; RMG #197 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), CH3(14); CH(9), CH3(14); -- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 - type: falloff - low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} - high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} - Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #201; RMG #198 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2CHO(31); CH2CO(25), CH2CHO(31); -- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 - type: falloff - low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} - high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} - Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} - efficiencies: {CO2(17): 2.0, CH4(16): 2.0, ethane(1): 3.0, H2(3): 2.0, - H2O(28): 6.0, Ar: 0.7} - note: |- - Reaction index: Chemkin #202; RMG #199 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C3H8(33); C2H5(27), C3H8(33); -- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 - rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} - note: |- - Reaction index: Chemkin #203; RMG #200 - Template reaction: R_Recombination - Flux pairs: HO2(6), H2O2(8); H(4), H2O2(8); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O in family R_Recombination. -- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 - rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} - note: |- - Reaction index: Chemkin #204; RMG #201 - Template reaction: R_Recombination - Flux pairs: CH(9), CH2(S)(13); H(4), CH2(S)(13); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O in family R_Recombination. -- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 - rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} - note: |- - Reaction index: Chemkin #205; RMG #207 - Template reaction: R_Recombination - Flux pairs: HCCO(23), CH2CO(25); H(4), CH2CO(25); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R in family R_Recombination. -- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 - rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #206; RMG #209 - Template reaction: R_Recombination - Flux pairs: OH(5), HCCOH(30); C2H(21), HCCOH(30); - Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R in family R_Recombination. -- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 - rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} - note: |- - Reaction index: Chemkin #207; RMG #210 - Template reaction: R_Recombination - Flux pairs: H(4), HCCOH(30); HCCO(23), HCCOH(30); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O in family R_Recombination. -- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 - rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} - note: |- - Reaction index: Chemkin #208; RMG #214 - Template reaction: R_Recombination - Flux pairs: HCO(12), CH3CHO(32); CH3(14), CH3CHO(32); - Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training - This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O] - family: R_Recombination -- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 - rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} - note: |- - Reaction index: Chemkin #209; RMG #215 - Template reaction: R_Recombination - Flux pairs: CH2CHO(31), CH3CHO(32); H(4), CH3CHO(32); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN in family R_Recombination. -- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 - rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} - note: |- - Reaction index: Chemkin #210; RMG #258 - Template reaction: R_Recombination - Flux pairs: CH(9), C2H2(22); CH(9), C2H2(22); - Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing in family R_Recombination. diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 3819aeeeb24..f348e9df3a0 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -451,7 +451,7 @@ def testSpeciesMatch(self): assert t1.get('note', '') == t2.get('note', ''), \ f"Transport note mismatch for {name}." - +@pytest.mark.skip(reason="These files are out of date and have been removed.") class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. @@ -488,7 +488,7 @@ def find_recent_files(self, request): request.cls.yaml_path_1 = chemkin_file request.cls.yaml_path_2 = cantera_file -@pytest.mark.skip(reason="These files are out of date.") +@pytest.mark.skip(reason="These files are out of date and have been removed.") class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, with surface mechanism. From 1f40ed9e1d4025ac2dde312958d25b03df103aa8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 14:52:59 -0400 Subject: [PATCH 484/700] Add Cantera files from main test, to testing folder. These should be created (replaced) by running the mainTest.py tests. We'll save a copy of them in git too. --- .../cantera1/from_main_test.yaml | 1051 ++++++++ .../cantera2/from_main_test.yaml | 1249 ++++++++++ .../ck2yaml/from_main_test.yaml | 2151 +++++++++++++++++ 3 files changed, 4451 insertions(+) create mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml create mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml create mode 100644 test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml new file mode 100644 index 00000000000..13ae58ebf70 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml @@ -0,0 +1,1051 @@ +generator: "RMG-Py CanteraWriter1 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 36d0039)" +date: Sun, 03 May 2026 13:45:37 + +units: {length: m, time: s, quantity: kmol, activation-energy: J/kmol} + + +phases: +- name: gas + thermo: ideal-gas + elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: D + atomic-weight: 2.014102 +- symbol: T + atomic-weight: 3.016049 +- symbol: CI + atomic-weight: 13.003354 +- symbol: OI + atomic-weight: 17.999159 +- symbol: X + atomic-weight: 195.083 + +species: +- name: ethane(1) + composition: {C: 2.0, H: 6.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 954.5110936886715, 5000.0] + data: + - [3.780345805837327, -0.0032427616688195738, 5.5238540835961135e-05, -6.385877469439608e-08, + 2.28639998353842e-11, -11620.34135275107, 5.210297172176226] + - [4.589795312018622, 0.014150836627966965, -4.7596579825052244e-06, 8.603029496983977e-10, + -6.217238823881424e-14, -12721.75068161533, -3.6171891868496764] + transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, + rotational-relaxation: 1.5} +- name: O(2) + composition: {O: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 29230.244128550923, 5.12616427269486] + - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, + -3.1045794407491553e-23, 29230.244133471373, 5.126164313272914] + transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129} +- name: H2(3) + composition: {H: 2.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 1959.0734570532368, 5000.0] + data: + - [3.4353640322436836, 0.000212711088867548, -2.786267109928371e-07, 3.4026847506425956e-10, + -7.76035238245164e-14, -1031.3598354840772, -3.9084169952050014] + - [2.7881746899044373, 0.0005876294327569003, 1.5901580485407815e-07, -5.527498406457646e-11, + 4.343188667565404e-15, -596.1494960879099, 0.11268014479418695] + transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, + polarizability: 0.7900000000000005, rotational-relaxation: 280.0} +- name: H(4) + composition: {H: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 25474.21776872916, -0.4449728963280224] + - [2.499999993394482, 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{model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, + rotational-relaxation: 1.5} +- name: C2H5(27) + composition: {C: 2.0, H: 5.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 900.3133686413051, 5000.0] + data: + - [3.8218366887126693, -0.0034336137652750723, 5.092576559329648e-05, -6.202121616415652e-08, + 2.3707360339402987e-11, 13066.01287427912, 7.616431110400184] + - [5.156207199872521, 0.009431228225167086, -1.8194614628685796e-06, 2.2119612633683184e-10, + -1.4348159485107404e-14, 12064.083237107747, -2.9109776507588903] + transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, + rotational-relaxation: 1.5} +- name: H2O(28) + composition: {H: 2.0, O: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 1130.2428926130467, 5000.0] + data: + - [4.057636187975462, -0.0007879398698184641, 2.908788069492715e-06, -1.475204287660629e-09, + 2.128490170160392e-13, -30281.5866521907, -0.31136534685788253] + - [2.8432480470655004, 0.002751089366900853, -7.8103367121036e-07, 1.0724414332729549e-10, + -5.793963421285384e-15, -29958.611693452458, 5.910433578723651] + transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, + dipole: 1.8439999999999999, rotational-relaxation: 4.0} +- name: C(29) + composition: {C: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 85474.52470343288, 3.659784206708707] + - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, + -3.1045794407491553e-23, 85474.52470835333, 3.6597842472867588] + transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509} +- name: HCCOH(30) + composition: {C: 2.0, H: 2.0, O: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 1009.8671367328868, 5000.0] + data: + - [3.3040912347897615, 0.012502446003621081, -3.795055354192445e-06, -4.4633009808641336e-09, + 2.663225471130415e-12, 8782.035416515859, 7.197168970728035] + - [6.7124551454507815, 0.005148330500649028, -2.0007834627740915e-06, 3.788190799793496e-10, + -2.7409124748516927e-14, 7780.23551660169, -10.831376654084673] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0} +- name: CH2CHO(31) + composition: {C: 2.0, H: 3.0, O: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 914.2195653125194, 5000.0] + data: + - [3.347148890024995, 0.0012878732026556307, 5.399642419215212e-05, -7.841121904676618e-08, + 3.240708687065647e-11, -2992.8440212693995, 8.9731019330448] + - [11.726154554803275, -0.001473691800042265, 2.907484426602473e-06, -5.970162857550277e-10, + 3.7029752558219025e-14, -5941.538943574109, -38.44712632255116] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0} +- name: CH3CHO(32) + composition: {C: 2.0, H: 4.0, O: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 984.2016120728738, 5000.0] + data: + - [3.7007802531138334, 0.0003879420044348043, 3.8692486968828104e-05, -4.5244175226526585e-08, + 1.588568911984255e-11, -21380.907966251474, 9.13565622207468] + - [4.588928731919886, 0.01288931344454544, -4.914985254816196e-06, 9.265000639719394e-10, + -6.710044287886815e-14, -22336.02926281222, 0.9008805816430335] + transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, + rotational-relaxation: 2.0} +- name: C3H8(33) + composition: {C: 3.0, H: 8.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [100.0, 986.5741824852131, 5000.0] + data: + - [3.052565931612535, 0.01250994052655728, 3.793862567309607e-05, -5.120220837447088e-08, + 1.8706492840834734e-11, -14454.176775999556, 10.067246001067637] + - [5.91316392026703, 0.021876253744009963, -8.176607701325125e-06, 1.4985452522965277e-09, + -1.0599135379428694e-13, -16038.878659602295, -8.865558390351929] + transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, + rotational-relaxation: 1.0} +- name: N2 + composition: {N: 2.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] + - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] + transport: {model: gas, geometry: linear, diameter: 3.6210000000000013, well-depth: 97.53030619382686, + polarizability: 1.7600000000000011, rotational-relaxation: 4.0} +- name: Ar + composition: {Ar: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677} +- name: He + composition: {He: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2} +- name: Ne + composition: {Ne: 1.0} + thermo: + model: NASA7 + reference-pressure: 10000.0 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6} +reactions: +- equation: H2(3) + O(2) <=> H(4) + OH(5) + rate-constant: {A: 38.7, b: 2.7, Ea: 26191840.0} +- equation: HO2(6) + O(2) <=> O2(7) + OH(5) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) + rate-constant: {A: 9630.0, b: 2.0, Ea: 16736000.0} +- equation: CH(9) + O(2) <=> CO(10) + H(4) + rate-constant: {A: 57000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH2(11) + O(2) <=> H(4) + HCO(12) + rate-constant: {A: 80000000000.00002, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) + rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) + rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH3(14) + O(2) <=> CH2O(15) + H(4) + rate-constant: {A: 50600000000.00001, b: 0.0, Ea: 0.0} +- equation: CH4(16) + O(2) <=> CH3(14) + OH(5) + rate-constant: {A: 1020000.0000000001, b: 1.5, Ea: 35982400.00000001} +- equation: HCO(12) + O(2) <=> CO(10) + OH(5) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: HCO(12) + O(2) <=> CO2(17) + H(4) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) + rate-constant: {A: 39000000000.00001, b: 0.0, Ea: 14811360.0} +- equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) + rate-constant: {A: 388.00000000000006, b: 2.5, Ea: 12970400.0} +- equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) + rate-constant: {A: 130.00000000000003, b: 2.5, Ea: 20920000.000000004} +- equation: C2H(21) + O(2) <=> CH(9) + CO(10) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) + rate-constant: {A: 13500.000000000002, b: 2.0, Ea: 7949600.000000001} +- equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) + rate-constant: {A: 4.600000000000001e+16, b: -1.41, Ea: 121126800.00000001} +- equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) + rate-constant: {A: 6940.000000000001, b: 2.0, Ea: 7949600.000000001} +- equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) + rate-constant: {A: 12500.000000000002, b: 1.83, Ea: 920480.0} +- equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) + rate-constant: {A: 22400000000.000004, b: 0.0, Ea: 0.0} +- equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) + rate-constant: {A: 89800.00000000001, b: 1.92, Ea: 23806960.000000004} +- equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} +- equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 33472000.0} +- equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) + rate-constant: {A: 1750000000.0000002, b: 0.0, Ea: 5648400.000000002} +- equation: CO(10) + O2(7) <=> CO2(17) + O(2) + rate-constant: {A: 2500000000.0000005, b: 0.0, Ea: 199995200.0} +- equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} +- equation: H(4) + 2 O2(7) + O2(7) <=> HO2(6) + O2(7) + O2(7) + rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} + efficiencies: {O2(7): 1.0} +- equation: H(4) + H2O(28) + O2(7) + H2O(28) <=> H2O(28) + HO2(6) + H2O(28) + rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} + efficiencies: {H2O(28): 1.0} +- equation: H(4) + O2(7) <=> O(2) + OH(5) + rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} +- equation: 2 H(4) + H2(3) + H2(3) <=> 2 H2(3) + H2(3) + rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} + efficiencies: {H2(3): 1.0} +- equation: 2 H(4) + H2O(28) + H2O(28) <=> H2(3) + H2O(28) + H2O(28) + rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} + efficiencies: {H2O(28): 1.0} +- equation: CO2(17) + 2 H(4) + CO2(17) <=> CO2(17) + H2(3) + CO2(17) + rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} + efficiencies: {CO2(17): 1.0} +- equation: H(4) + HO2(6) <=> H2O(28) + O(2) + rate-constant: {A: 3970000000.0000005, b: 0.0, Ea: 2807464.0000000005} +- equation: H(4) + HO2(6) <=> H2(3) + O2(7) + rate-constant: {A: 44800000000.00001, b: 0.0, Ea: 4468512.000000002} +- equation: H(4) + HO2(6) <=> 2 OH(5) + rate-constant: {A: 84000000000.00002, b: 0.0, Ea: 2656840.0} +- equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) + rate-constant: {A: 12100.000000000002, b: 2.0, Ea: 21756800.000000004} +- equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 15062400.000000004} +- equation: CH(9) + H(4) <=> C(29) + H2(3) + rate-constant: {A: 165000000000.00003, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH4(16) + H(4) <=> CH3(14) + H2(3) + rate-constant: {A: 660000.0000000001, b: 1.62, Ea: 45354560.00000001} +- equation: H(4) + HCO(12) <=> CO(10) + H2(3) + rate-constant: {A: 73400000000.00002, b: 0.0, Ea: 0.0} +- equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) + rate-constant: {A: 57400.000000000015, b: 1.9, Ea: 11472528.0} +- equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) + rate-constant: {A: 165000000.00000003, b: 0.65, Ea: -1188256.0} +- equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) + rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} +- equation: CH3O(19) + H(4) + H(4) <=> CH2OH(18) + H(4) + H(4) + rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} + efficiencies: {H(4): 1.0} +- equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) + rate-constant: {A: 1500000000.0000002, b: 0.5, Ea: -460240.0} +- equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) + rate-constant: {A: 262000000000.00003, b: -0.23, Ea: 4476880.0} +- equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) + rate-constant: {A: 17000.000000000004, b: 2.1, Ea: 20376080.0} +- equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) + rate-constant: {A: 4200.000000000001, b: 2.1, Ea: 20376080.0} +- equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) + rate-constant: {A: 1325.0000000000002, b: 2.53, Ea: 51212160.0} +- equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) + rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 0.0} +- equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) + rate-constant: {A: 115000.00000000001, b: 1.9, Ea: 31505520.000000004} +- equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) + rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} +- equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 33472000.0} +- equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) + rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} +- equation: H(4) + HCCOH(30) + H(4) <=> CH2CO(25) + H(4) + H(4) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + efficiencies: {H(4): 1.0} +- equation: H2(3) + OH(5) <=> H(4) + H2O(28) + rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} +- equation: 2 OH(5) <=> H2O(28) + O(2) + rate-constant: {A: 35.7, b: 2.4, Ea: -8828240.0} +- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) + rate-constant: {A: 14500000000.000002, b: 0.0, Ea: -2092000.0} + duplicate: true +- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) + rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 72508720.00000001} + duplicate: true +- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) + rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 1786568.0} + duplicate: true +- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) + rate-constant: {A: 1700000000000000.2, b: 0.0, Ea: 123051440.00000001} + duplicate: true +- equation: C(29) + OH(5) <=> CO(10) + H(4) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH(9) + OH(5) <=> H(4) + HCO(12) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) + rate-constant: {A: 11300.000000000002, b: 2.0, Ea: 12552000.0} +- equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) + rate-constant: {A: 56000.00000000001, b: 1.6, Ea: 22677280.000000004} +- equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) + rate-constant: {A: 644000000000000.1, b: -1.34, Ea: 5928728.0} +- equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) + rate-constant: {A: 100000.00000000001, b: 1.6, Ea: 13054080.000000002} +- equation: CO(10) + OH(5) <=> CO2(17) + H(4) + rate-constant: {A: 47600.00000000001, b: 1.228, Ea: 292880.0} +- equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) + rate-constant: {A: 3430000.0000000005, b: 1.18, Ea: -1870248.0000000002} +- equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} +- equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} +- equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) + rate-constant: {A: 1440.0000000000002, b: 2.0, Ea: -3514560.0000000005} +- equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) + rate-constant: {A: 6300.000000000001, b: 2.0, Ea: 6276000.0} +- equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) + rate-constant: {A: 2.1800000000000005e-07, b: 4.5, Ea: -4184000.0} +- equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) + rate-constant: {A: 504.0000000000001, b: 2.3, Ea: 56484000.0} +- equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) + rate-constant: {A: 33700.0, b: 2.0, Ea: 58576000.00000001} +- equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) + rate-constant: {A: 4.830000000000001e-07, b: 4.0, Ea: -8368000.0} +- equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} +- equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) + rate-constant: {A: 3600.0000000000005, b: 2.0, Ea: 10460000.000000002} +- equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) + rate-constant: {A: 3540.0000000000005, b: 2.12, Ea: 3640080.0} +- equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) + rate-constant: {A: 7500000000.000001, b: 0.0, Ea: 8368000.0} +- equation: 2 HO2(6) <=> H2O2(8) + O2(7) + rate-constant: {A: 130000000.00000001, b: 0.0, Ea: -6819920.000000001} + duplicate: true +- equation: 2 HO2(6) <=> H2O2(8) + O2(7) + rate-constant: {A: 420000000000.00006, b: 0.0, Ea: 50208000.0} + duplicate: true +- equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) + rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) + rate-constant: {A: 1000000000.0000001, b: 0.0, Ea: 0.0} +- equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) + rate-constant: {A: 37800000000.00001, b: 0.0, Ea: 0.0} +- equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) + rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 98742400.00000003} +- equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) + rate-constant: {A: 5600.000000000001, b: 2.0, Ea: 50208000.0} +- equation: C(29) + O2(7) <=> CO(10) + O(2) + rate-constant: {A: 58000000000.00001, b: 0.0, Ea: 2409984.0} +- equation: C(29) + CH2(11) <=> C2H(21) + H(4) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: C(29) + CH3(14) <=> C2H2(22) + H(4) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH(9) + O2(7) <=> HCO(12) + O(2) + rate-constant: {A: 67100000000.00001, b: 0.0, Ea: 0.0} +- equation: CH(9) + H2(3) <=> CH2(11) + H(4) + rate-constant: {A: 108000000000.00002, b: 0.0, Ea: 13012240.000000002} +- equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) + rate-constant: {A: 5710000000.000001, b: 0.0, Ea: -3158920.0} +- equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) + rate-constant: {A: 60000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) + rate-constant: {A: 190000000000.00003, b: 0.0, Ea: 66073728.00000001} +- equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) + rate-constant: {A: 94600000000.00002, b: 0.0, Ea: -2154760.0} +- equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) + rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 6276000.0} +- equation: CH2(11) + H2(3) <=> CH3(14) + H(4) + rate-constant: {A: 500.0000000000001, b: 2.0, Ea: 30250320.0} +- equation: 2 CH2(11) <=> C2H2(22) + H2(3) + rate-constant: {A: 1600000000000.0002, b: 0.0, Ea: 49973696.00000001} +- equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} +- equation: CH2(11) + CH4(16) <=> 2 CH3(14) + rate-constant: {A: 2460.0000000000005, b: 2.0, Ea: 34601680.0} +- equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) + rate-constant: {A: 28000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) + rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + H2O(28) + H2O(28) <=> CH2(11) + H2O(28) + H2O(28) + rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + efficiencies: {H2O(28): 1.0} +- equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} +- equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) + rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} +- equation: CH2(S)(13) + CO(10) + CO(10) <=> CH2(11) + CO(10) + CO(10) + rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} + efficiencies: {CO(10): 1.0} +- equation: CH2(S)(13) + CO2(17) + CO2(17) <=> CH2(11) + CO2(17) + CO2(17) + rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} + efficiencies: {CO2(17): 1.0} +- equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) + rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) + rate-constant: {A: 40000000000.00001, b: 0.0, Ea: -2301200.0000000005} +- equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) + rate-constant: {A: 35600000000.00001, b: 0.0, Ea: 127528320.00000001} +- equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) + rate-constant: {A: 2310000000.0000005, b: 0.0, Ea: 84997960.0} +- equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) + rate-constant: {A: 24.500000000000004, b: 2.47, Ea: 21673120.000000004} +- equation: 2 CH3(14) <=> C2H5(27) + H(4) + rate-constant: {A: 6840000000.000001, b: 0.1, Ea: 44350400.0} +- equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) + rate-constant: {A: 26480000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) + rate-constant: {A: 3.3200000000000003, b: 2.81, Ea: 24518240.0} +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) + rate-constant: {A: 30000.000000000004, b: 1.5, Ea: 41588960.0} +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) + rate-constant: {A: 10000.000000000002, b: 1.5, Ea: 41588960.0} +- equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) + rate-constant: {A: 227.00000000000003, b: 2.0, Ea: 38492800.0} +- equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) + rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} +- equation: H2O(28) + HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) + H2O(28) + rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} + efficiencies: {H2O(28): 1.0} +- equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) + rate-constant: {A: 13450000000.000002, b: 0.0, Ea: 1673600.0000000002} +- equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) + rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 3765600.000000001} +- equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) + rate-constant: {A: 4.2800000000000005e-16, b: 7.6, Ea: -14769520.000000002} +- equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: -3158920.0} +- equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) + rate-constant: {A: 56800000.00000001, b: 0.9, Ea: 8338712.000000001} +- equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) + rate-constant: {A: 45800000000000.01, b: -1.39, Ea: 4246760.0} +- equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) + rate-constant: {A: 840000000.0000001, b: 0.0, Ea: 16213000.000000002} +- equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) + rate-constant: {A: 3200000000.0000005, b: 0.0, Ea: 3573136.0} +- equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) + rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) + rate-constant: {A: 33700000000.000008, b: 0.0, Ea: 0.0} +- equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) + rate-constant: {A: 6700.000000000001, b: 1.83, Ea: 920480.0} +- equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) + rate-constant: {A: 109600000000.00002, b: 0.0, Ea: 0.0} +- equation: CH3(14) + OH(5) => CH2O(15) + H2(3) + rate-constant: {A: 8000000.000000001, b: 0.5, Ea: -7342920.0} +- equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) + rate-constant: {A: 5800000000.000001, b: 0.0, Ea: 6276000.0} +- equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) + rate-constant: {A: 2400000000.0000005, b: 0.0, Ea: 6276000.0} +- equation: 2 CH2(11) => C2H2(22) + 2 H(4) + rate-constant: {A: 200000000000.00003, b: 0.0, Ea: 45977976.0} +- equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) + rate-constant: {A: 68200000.00000001, b: 0.25, Ea: -3912040.0000000005} +- equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) + rate-constant: {A: 303000000.00000006, b: 0.29, Ea: 46024.00000000001} +- equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) + rate-constant: {A: 1337.0000000000002, b: 1.61, Ea: -1606656.0000000002} +- equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) + rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} +- equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) + rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} +- equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) + rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 163803600.0} +- equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) + rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} +- equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) + rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} +- equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) + rate-constant: {A: 23430000.000000004, b: 0.73, Ea: -4656792.0} +- equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) + rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} +- equation: CH3(14) + CH3CHO(32) + CH3(14) => CH3(14) + CH4(16) + CO(10) + CH3(14) + rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} + efficiencies: {CH3(14): 1.0} +- equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) + rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) + rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) + rate-constant: {A: 23500000.000000004, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) + rate-constant: {A: 22000000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) + rate-constant: {A: 11000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) + rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) + rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 0.0} +- equation: 2 O(2) + M <=> O2(7) + M + rate-constant: {A: 120000000000.00002, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, + Ar: 0.83} +- equation: H(4) + O(2) + M <=> OH(5) + M + rate-constant: {A: 500000000000.0001, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: H(4) + O2(7) + M <=> HO2(6) + M + rate-constant: {A: 2800000000000.0005, b: -0.86, Ea: 0.0} + efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, + Ar: 0.0} +- equation: 2 H(4) + M <=> H2(3) + M + rate-constant: {A: 1000000000000.0002, b: -1.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, + Ar: 0.63} +- equation: H(4) + OH(5) + M <=> H2O(28) + M + rate-constant: {A: 2.2000000000000004e+16, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} +- equation: HCO(12) + M <=> CO(10) + H(4) + M + rate-constant: {A: 187000000000000.03, b: -1.0, Ea: 71128000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} +- equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) + type: falloff + low-P-rate-constant: {A: 602000000.0000001, b: 0.0, Ea: 12552000.0} + high-P-rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 9978840.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, + H2O(28): 6.0, Ar: 0.5} +- equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) + type: falloff + low-P-rate-constant: {A: 1.0400000000000002e+20, b: -2.76, Ea: 6694400.000000001} + high-P-rate-constant: {A: 600000000000.0001, b: 0.0, Ea: 0.0} + Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) + type: falloff + low-P-rate-constant: {A: 2.6200000000000006e+27, b: -4.76, Ea: 10208960.000000002} + high-P-rate-constant: {A: 13900000000000.002, b: -0.534, Ea: 2242624.0000000005} + Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) + type: falloff + low-P-rate-constant: {A: 2.4700000000000005e+18, b: -2.57, Ea: 1778200.0} + high-P-rate-constant: {A: 1090000000.0000002, b: 0.48, Ea: -1087840.0000000005} + Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) + type: falloff + low-P-rate-constant: {A: 1.2700000000000002e+26, b: -4.82, Ea: 27321520.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 15062400.000000004} + Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) + type: falloff + low-P-rate-constant: {A: 2.2000000000000006e+24, b: -4.8, Ea: 23263040.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 10878400.000000002} + Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: {A: 4.360000000000001e+25, b: -4.65, Ea: 21254720.0} + high-P-rate-constant: {A: 1055000000.0000002, b: 0.5, Ea: 359824.0} + Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: {A: 4.660000000000001e+35, b: -7.44, Ea: 58910720.0} + high-P-rate-constant: {A: 2430000000.0000005, b: 0.515, Ea: 209200.00000000003} + Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) + type: falloff + low-P-rate-constant: {A: 3.750000000000001e+27, b: -4.8, Ea: 7949600.000000001} + high-P-rate-constant: {A: 100000000000000.02, b: -1.0, Ea: 0.0} + Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) + type: falloff + low-P-rate-constant: {A: 3.8000000000000006e+34, b: -7.27, Ea: 30208480.0} + high-P-rate-constant: {A: 5600000000.000001, b: 0.0, Ea: 10041600.0} + Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) + type: falloff + low-P-rate-constant: {A: 1.4000000000000004e+24, b: -3.86, Ea: 13890880.000000004} + high-P-rate-constant: {A: 6080000000.000001, b: 0.27, Ea: 1171520.0} + Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) + type: falloff + low-P-rate-constant: {A: 6.0000000000000005e+35, b: -7.62, Ea: 29162480.0} + high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 7614880.000000001} + Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) + type: falloff + low-P-rate-constant: {A: 1.9900000000000005e+35, b: -7.08, Ea: 27970040.0} + high-P-rate-constant: {A: 521000000000000.06, b: -0.99, Ea: 6610720.0} + Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) + type: falloff + low-P-rate-constant: {A: 5.07e+21, b: -3.42, Ea: 352920400.0} + high-P-rate-constant: {A: 43000.00000000001, b: 1.5, Ea: 333046400.0} + Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: 2 OH(5) (+M) <=> H2O2(8) (+M) + type: falloff + low-P-rate-constant: {A: 2300000000000.0005, b: -0.9, Ea: -7112800.0} + high-P-rate-constant: {A: 74000000000.00002, b: -0.37, Ea: 0.0} + Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: {A: 4.000000000000001e+30, b: -5.92, Ea: 13137760.0} + high-P-rate-constant: {A: 2790000000000000.5, b: -1.43, Ea: 5564720.0} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) + type: falloff + low-P-rate-constant: {A: 2.6900000000000003e+22, b: -3.74, Ea: 8100224.000000001} + high-P-rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) + type: falloff + low-P-rate-constant: {A: 2.6900000000000006e+27, b: -5.11, Ea: 29685480.0} + high-P-rate-constant: {A: 810000000.0000001, b: 0.5, Ea: 18869840.000000004} + Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) + type: falloff + low-P-rate-constant: {A: 1.88e+32, b: -6.36, Ea: 21087360.0} + high-P-rate-constant: {A: 482000000000000.06, b: -1.16, Ea: 4790680.000000001} + Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} +- equation: 2 CH3(14) (+M) <=> ethane(1) (+M) + type: falloff + low-P-rate-constant: {A: 3.400000000000001e+35, b: -7.03, Ea: 11556208.000000002} + high-P-rate-constant: {A: 67700000000000.01, b: -1.18, Ea: 2736336.000000001} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) + type: falloff + low-P-rate-constant: {A: 1.5800000000000006e+48, b: -9.3, Ea: 409195200.0} + high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045680.00000006} + Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) + type: falloff + low-P-rate-constant: {A: 4.820000000000001e+19, b: -2.8, Ea: 2468560.0000000005} + high-P-rate-constant: {A: 1970000000.0000002, b: 0.43, Ea: -1548080.0000000002} + Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) + type: falloff + low-P-rate-constant: {A: 1.0120000000000002e+36, b: -7.63, Ea: 16125136.000000002} + high-P-rate-constant: {A: 486500000.00000006, b: 0.422, Ea: -7342920.0} + Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) + type: falloff + low-P-rate-constant: {A: 2.7100000000000003e+68, b: -16.82, Ea: 54663960.00000001} + high-P-rate-constant: {A: 9430000000.000002, b: 0.0, Ea: 0.0} + Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} + efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, + Ar: 0.7} +- equation: H(4) + HO2(6) <=> H2O2(8) + rate-constant: {A: 5250690.0, b: 1.27262, Ea: 0.0} +- equation: CH(9) + H(4) <=> CH2(S)(13) + rate-constant: {A: 53700000000.0, b: 0.15395, Ea: 0.0} +- equation: H(4) + HCCO(23) <=> CH2CO(25) + rate-constant: {A: 11386000000.0, b: 0.308956, Ea: 0.0} +- equation: C2H(21) + OH(5) <=> HCCOH(30) + rate-constant: {A: 77000000000.0, b: 4.95181e-08, Ea: 0.0} +- equation: H(4) + HCCO(23) <=> HCCOH(30) + rate-constant: {A: 2805150000.0, b: 0.314888, Ea: 0.0} +- equation: CH3(14) + HCO(12) <=> CH3CHO(32) + rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} +- equation: CH2CHO(31) + H(4) <=> CH3CHO(32) + rate-constant: {A: 78286700000.0, b: 0.0631113, Ea: 0.0} +- equation: 2 CH(9) <=> C2H2(22) + rate-constant: {A: 99813000.0, b: 0.610916, Ea: 0.0} diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml new file mode 100644 index 00000000000..346df39d34c --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml @@ -0,0 +1,1249 @@ +description: RMG-Py Generated Mechanism +generator: 'RMG-Py CanteraWriter2 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera2.py + (git commit: 36d0039)' +cantera-version: '3.1' +units: {length: m, time: s, quantity: mol, activation-energy: J/mol} +phases: +- name: gas + thermo: ideal-gas + elements: [Ar, Br, C, Cl, E, F, H, He, I, N, Ne, O, S, Si] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), + CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), + CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), + C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + reactions: declared-species + transport: mixture-averaged +species: +- name: ethane(1) + composition: {H: 6, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 954.5110936886715, 5000.0] + data: + - [3.780345805837327, -0.0032427616688195738, 5.5238540835961135e-05, -6.385877469439608e-08, + 2.28639998353842e-11, -11620.34135275107, 5.210297172176226] + - [4.589795312018622, 0.014150836627966965, -4.7596579825052244e-06, 8.603029496983977e-10, + -6.217238823881424e-14, -12721.75068161533, -3.6171891868496764] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' + transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, + rotational-relaxation: 1.5, note: GRI-Mech} +- name: O(2) + composition: {O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 29230.244128550923, 5.12616427269486] + - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, + -3.1045794407491553e-23, 29230.244133471373, 5.126164313272914] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 80.00026940977129, diameter: 2.7500000000000004, + note: GRI-Mech} +- name: H2(3) + composition: {H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1959.0734570532368, 5000.0] + data: + - [3.4353640322436836, 0.000212711088867548, -2.786267109928371e-07, 3.4026847506425956e-10, + -7.76035238245164e-14, -1031.3598354840772, -3.9084169952050014] + - [2.7881746899044373, 0.0005876294327569003, 1.5901580485407815e-07, -5.527498406457646e-11, + 4.343188667565404e-15, -596.1494960879099, 0.11268014479418695] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, well-depth: 38.00012796964137, diameter: 2.92, + polarizability: 0.7900000000000004, rotational-relaxation: 280.0, note: GRI-Mech} +- name: H(4) + composition: {H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 25474.21776872916, -0.4449728963280224] + - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, + -3.1045794407491553e-23, 25474.217773649605, -0.444972855749969] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 145.00018762466215, diameter: 2.0500000000000003, + note: GRI-Mech} +- name: OH(5) + composition: {H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1145.7520269685585, 5000.0] + data: + - [3.514568030889614, 2.927749474273922e-05, -5.321637895868379e-07, 1.0194907787997865e-09, + -3.859453686345065e-13, 3414.2541976175758, 2.104348876239043] + - [3.0719398919454433, 0.0006040155603844118, -1.3978216817494781e-08, -2.1344627096837766e-11, + 2.480657980220244e-15, 3579.386728674486, 4.577999618270958] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, + note: GRI-Mech} +- name: HO2(6) + composition: {H: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 932.147807123929, 5000.0] + data: + - [4.04594657447324, -0.0017346688146588037, 1.0376730032838863e-05, -1.022036035881876e-08, + 3.3491349668804084e-12, -986.754316874425, 4.6358069149070324] + - [3.2102333691731144, 0.0036794289568842686, -1.2770210213031316e-06, 2.180465263628796e-10, + -1.463389951108199e-14, -910.3663758168628, 8.182947949802738] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' + transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, + rotational-relaxation: 1.0, note: GRI-Mech} +- name: O2(7) + composition: {O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1074.5487910223908, 5000.0] + data: + - [3.5373230506433604, -0.001215723673673554, 5.316226913876108e-06, -4.894494564171178e-09, + 1.4584747893316288e-12, -1038.5885150253216, 4.683679586164618] + - [3.1538173541160557, 0.0016780494172578125, -7.69977463345062e-07, 1.5127621307497415e-10, + -1.0878302972154481e-14, -1040.815775508589, 6.1675778705421145] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, well-depth: 107.40032560095216, diameter: 3.458000000000001, + polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} +- name: H2O2(8) + composition: {H: 2, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 908.8636980899306, 5000.0] + data: + - [3.731366284109007, 0.003350606013094521, 9.350720493428984e-06, -1.521051004866441e-08, + 6.416107043520503e-12, -17721.171163869974, 5.459079107803863] + - [5.415764982526016, 0.002610120173918772, -4.3991489926460024e-07, 4.911425476518949e-11, + -3.352347640995115e-15, -18302.943400742348, -4.022358081202631] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' + transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, + rotational-relaxation: 3.8, note: GRI-Mech} +- name: CH(9) + composition: {H: 1, C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 926.4996998286691, 5000.0] + data: + - [4.114883798366483, -0.00036105622302789266, -6.34738424724746e-06, 1.0588830857995857e-08, + -4.570592635290404e-12, 75083.85536332303, 1.6126948258692664] + - [2.3397315833288777, 0.0017585822652602947, -8.029170644997589e-07, 1.4045749082137327e-10, + -8.474970838349845e-15, 75650.75149764838, 11.32545135377962] + note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' + transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, + note: GRI-Mech} +- name: CO(10) + composition: {C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1571.6325038092866, 5000.0] + data: + - [3.568380183872591, -0.0008521275749708765, 2.4891831341165422e-06, -1.5633152724367305e-09, + 3.135967411946522e-13, -14284.254949016655, 3.579121029658425] + - [2.913058334465055, 0.0016465903493515035, -6.886211322091902e-07, 1.2103870467221813e-10, + -7.840283442517857e-15, -14180.880154113569, 6.710506180052189] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, well-depth: 98.10027624123336, diameter: 3.6500000000000004, + polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} +- name: CH2(11) + composition: {H: 2, C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1104.6163817756849, 5000.0] + data: + - [4.011923841489133, -0.00015497839451543438, 3.2629774085156933e-06, -2.4042174893371504e-09, + 5.694965417963233e-13, 45867.680221696675, 0.5332006293939462] + - [3.1498337193348007, 0.0029667428526204092, -9.760559992782986e-07, 1.5411531705304938e-10, + -9.503384326736568e-15, 46058.139092219215, 4.7780774856041885] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, + note: GRI-Mech} +- name: HCO(12) + composition: {H: 1, C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1565.714132371199, 5000.0] + data: + - [4.35602339043274, -0.0034709024404038355, 1.2566500153664981e-05, -9.99496787565554e-09, + 2.278910275533282e-12, 3995.7703823171323, 2.7511152173315896] + - [4.618552189478943, 0.005044727567949883, -4.392490375225836e-06, 9.733000206186813e-10, + -7.074497320360272e-14, 2787.5657280626556, -2.2289265396150277] + note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' + transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, + note: GRI-Mech} +- name: CH2(S)(13) + composition: {H: 2, C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1442.3511750737548, 5000.0] + data: + - [4.102644262821686, -0.0014406893453596408, 5.450704522808327e-06, -3.580035535341835e-09, + 7.561975727674366e-13, 50400.578468202875, -0.411767744752251] + - [2.626461951839261, 0.003947647061872542, -1.499250600733676e-06, 2.545411695073568e-10, + -1.6295740679010454e-14, 50691.75925170181, 6.783860566624157] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, + note: GRI-Mech} +- name: CH3(14) + composition: {H: 3, C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1337.620819587787, 5000.0] + data: + - [3.915468545997816, 0.0018415334744105523, 3.487446141728892e-06, -3.3275059960317733e-09, + 8.499669695415019e-13, 16285.63932910768, 0.3517380395131654] + - [3.5414438177641827, 0.0047678891393774115, -1.8214953036507109e-06, 3.2887903936663636e-10, + -2.2254753367320316e-14, 16223.964546647976, 1.6604283078795798] + note: 'Thermo library: primaryThermoLibrary + radical(CH3)' + transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, + note: GRI-Mech} +- name: CH2O(15) + composition: {H: 2, C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1402.2812011786486, 5000.0] + data: + - [4.322896688132622, -0.00506327946440804, 2.151558020865406e-05, -1.7652165578523147e-08, + 4.318158267459416e-12, -14278.956505443542, 2.3924226447408348] + - [3.179936326492375, 0.00955601269235614, -6.273028454801088e-06, 1.3355481910102911e-09, + -9.684126206021399e-14, -15075.21914563935, 4.31085170341811] + note: 'Thermo group additivity estimation: group(Cds-OdHH)' + transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, + rotational-relaxation: 2.0, note: GRI-Mech} +- name: CH4(16) + composition: {H: 4, C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1084.123827322365, 5000.0] + data: + - [4.205413249592893, -0.005355550700516357, 2.5112249357340948e-05, -2.137618922935306e-08, + 5.97520127499108e-12, -10161.943218560951, -0.9212721095036059] + - [0.9082771923874331, 0.011454066909071433, -4.571727616998398e-06, 8.29189195152023e-10, + -5.6631286728402924e-14, -9719.979461834091, 13.993029451960226] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, well-depth: 141.400440100105, diameter: 3.746000000000001, + polarizability: 2.6000000000000014, rotational-relaxation: 13.0, note: GRI-Mech} +- name: CO2(17) + composition: {C: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 988.8860879833867, 5000.0] + data: + - [3.2786139579157667, 0.0027414907869317043, 7.160850310649065e-06, -1.080287685514878e-08, + 4.14288279908879e-12, -48470.31456638012, 5.979355663789081] + - [4.546085505272925, 0.0029191505308481846, -1.1548474402701926e-06, 2.276560890459939e-10, + -1.7091195474740168e-14, -48980.355193356234, -1.432689313852118] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + + group(Cdd-OdOd)' + transport: {model: gas, geometry: linear, well-depth: 244.00106224424113, diameter: 3.763, + polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} +- name: CH2OH(18) + composition: {H: 3, C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 895.0128423768832, 5000.0] + data: + - [3.711747875498063, 0.0019310495477475086, 2.1234224669361647e-05, -3.031581261488382e-08, + 1.2487821239782904e-11, -4007.4595420199803, 7.291993676284961] + - [6.0562988011935595, 0.0030217384679415552, 1.720948400698776e-08, -6.962736851576313e-11, + 5.182164230170264e-15, -4890.505525515445, -6.3476542841121555] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(CsJOH)' + transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, + dipole: 1.7000000000000006, rotational-relaxation: 2.0, note: GRI-Mech} +- name: CH3O(19) + composition: {H: 3, C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 916.8834490980655, 5000.0] + data: + - [4.0013575561328585, -0.004156835987149363, 3.263543261448762e-05, -3.71118105654598e-08, + 1.3570917933379284e-11, -6.152570493302685, 6.813714035946757] + - [4.016223845036489, 0.006268132072155586, -1.5806804808679084e-06, 2.44606571076615e-10, + -1.7033720648694282e-14, -449.8054684774207, 4.338796349824254] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(H3COJ)' + transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, + dipole: 1.7000000000000006, rotational-relaxation: 2.0, note: GRI-Mech} +- name: CH3OH(20) + composition: {H: 4, C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 952.1389908637451, 5000.0] + data: + - [3.8949618831293553, -0.0007713534032064971, 2.6475516242260254e-05, -2.9179363149306652e-08, + 1.0083470134889905e-11, -26335.85476940014, 6.364759206338717] + - [3.138078300120791, 0.010354206425018032, -3.569573213259954e-06, 6.2228670380635e-10, + -4.2780556797788775e-14, -26551.895613135097, 8.087777938366735] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' + transport: {model: gas, geometry: nonlinear, well-depth: 481.802091582003, diameter: 3.626000000000001, + rotational-relaxation: 1.0, note: GRI-Mech} +- name: C2H(21) + composition: {H: 1, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1076.5739030931832, 5000.0] + data: + - [3.038528423280286, 0.011544944603038693, -2.1326485954432746e-05, 1.819338534674556e-08, + -5.41594365314797e-12, 66398.01413786084, 5.966763865161724] + - [4.008476679662765, 0.002068132533447794, 6.051403922076703e-08, -1.1771143178546624e-10, + 1.292843103778667e-14, 66529.51239223393, 2.796431735903967] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' + transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, + rotational-relaxation: 2.5, note: GRI-Mech} +- name: C2H2(22) + composition: {H: 2, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 888.6182543600265, 5000.0] + data: + - [3.0357585217151586, 0.007712248787838784, 2.535472846104679e-06, -1.0814091419221027e-08, + 5.50793884017531e-12, 25852.6438513772, 4.544573545031331] + - [5.7620170200918155, 0.002371637509595834, -1.4961216335698123e-07, -2.1908364280616377e-11, + 2.21719408295192e-15, 25094.4612801627, -9.825927939150352] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' + transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, + rotational-relaxation: 2.5, note: GRI-Mech} +- name: HCCO(23) + composition: {H: 1, C: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 936.0672810203184, 5000.0] + data: + - [3.4564721955019664, 0.01057287065008409, -7.35997930717575e-06, 7.974865857027052e-10, + 8.644788930195111e-13, 22595.688064401904, 7.094966296818602] + - [5.9981069864241885, 0.003144794134936119, -9.578007435439627e-07, 1.5562106735769888e-10, + -1.0430827416714007e-14, 21969.463783317686, -5.802371777239033] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d) + radical(Cds_P)' + transport: {model: gas, geometry: nonlinear, well-depth: 150.00110650441783, diameter: 2.500000000000001, + rotational-relaxation: 1.0, note: GRI-Mech} +- name: C2H3(24) + composition: {H: 3, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.9858880076591, 5000.0] + data: + - [3.9066414443391624, -0.00406161805089794, 3.867505561886614e-05, -4.629356294110721e-08, + 1.7288184850765833e-11, 34797.18098324665, 6.098116827390869] + - [5.448161345038558, 0.004983220634586766, -1.088008027091821e-06, 1.7978956968030537e-10, + -1.4505633804539655e-14, 33829.69476393835, -4.879180043982607] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + + radical(Cds_P)' + transport: {model: gas, geometry: nonlinear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, + rotational-relaxation: 1.0, note: GRI-Mech} +- name: CH2CO(25) + composition: {H: 2, C: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 956.6589663809253, 5000.0] + data: + - [3.5274937117983933, 0.007083323568383587, 9.178495162982448e-06, -1.6427295974845557e-08, + 6.7119937845095964e-12, -7123.942950136391, 5.743686833486504] + - [5.764843860393455, 0.005965775843435247, -1.984972026524795e-06, 3.527701091332367e-10, + -2.5164077388183256e-14, -7928.956600867915, -6.9211732597275475] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d)' + transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, + rotational-relaxation: 2.0, note: GRI-Mech} +- name: C2H4(26) + composition: {H: 4, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 940.4415341496032, 5000.0] + data: + - [3.979761078299263, -0.007575804379415596, 5.5298083380567165e-05, -6.362321213029474e-08, + 2.3177190400951143e-11, 5077.460147499724, 4.0461684201547214] + - [5.202940933280232, 0.007824516477330179, -2.1268877513906106e-06, 3.7970335544514704e-10, + -2.946814128701208e-14, 3936.3029880366635, -6.623812180250903] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' + transport: {model: gas, geometry: nonlinear, well-depth: 280.80075319274636, diameter: 3.9710000000000005, + rotational-relaxation: 1.5, note: GRI-Mech} +- name: C2H5(27) + composition: {H: 5, C: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 900.3133686413051, 5000.0] + data: + - [3.8218366887126693, -0.0034336137652750723, 5.092576559329648e-05, -6.202121616415652e-08, + 2.3707360339402987e-11, 13066.01287427912, 7.616431110400184] + - [5.156207199872521, 0.009431228225167086, -1.8194614628685796e-06, 2.2119612633683184e-10, + -1.4348159485107404e-14, 12064.083237107747, -2.9109776507588903] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + + radical(CCJ)' + transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, + rotational-relaxation: 1.5, note: GRI-Mech} +- name: H2O(28) + composition: {H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1130.2428926130467, 5000.0] + data: + - [4.057636187975462, -0.0007879398698184641, 2.908788069492715e-06, -1.475204287660629e-09, + 2.128490170160392e-13, -30281.5866521907, -0.31136534685788253] + - [2.8432480470655004, 0.002751089366900853, -7.8103367121036e-07, 1.0724414332729549e-10, + -5.793963421285384e-15, -29958.611693452458, 5.910433578723651] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, well-depth: 572.4019516813576, diameter: 2.6050000000000004, + dipole: 1.8440000000000003, rotational-relaxation: 4.0, note: GRI-Mech} +- name: C(29) + composition: {C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.427070109808, 5000.0] + data: + - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, + -1.081468248287365e-24, 85474.52470343288, 3.659784206708707] + - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, + -3.1045794407491553e-23, 85474.52470835333, 3.6597842472867588] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 71.40020436655509, diameter: 3.2980000000000005, + note: GRI-Mech} +- name: HCCOH(30) + composition: {H: 2, C: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1009.8671367328868, 5000.0] + data: + - [3.3040912347897615, 0.012502446003621081, -3.795055354192445e-06, -4.4633009808641336e-09, + 2.663225471130415e-12, 8782.035416515859, 7.197168970728035] + - [6.7124551454507815, 0.005148330500649028, -2.0007834627740915e-06, 3.788190799793496e-10, + -2.7409124748516927e-14, 7780.23551660169, -10.831376654084673] + note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' + transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, + rotational-relaxation: 2.0, note: GRI-Mech} +- name: CH2CHO(31) + composition: {H: 3, C: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 914.2195653125194, 5000.0] + data: + - [3.347148890024995, 0.0012878732026556307, 5.399642419215212e-05, -7.841121904676618e-08, + 3.240708687065647e-11, -2992.8440212693995, 8.9731019330448] + - [11.726154554803275, -0.001473691800042265, 2.907484426602473e-06, -5.970162857550277e-10, + 3.7029752558219025e-14, -5941.538943574109, -38.44712632255116] + note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + + group(Cds-CdsHH) + radical(C=COJ)' + transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, + rotational-relaxation: 2.0, note: GRI-Mech} +- name: CH3CHO(32) + composition: {H: 4, C: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.2016120728738, 5000.0] + data: + - [3.7007802531138334, 0.0003879420044348043, 3.8692486968828104e-05, -4.5244175226526585e-08, + 1.588568911984255e-11, -21380.907966251474, 9.13565622207468] + - [4.588928731919886, 0.01288931344454544, -4.914985254816196e-06, 9.265000639719394e-10, + -6.710044287886815e-14, -22336.02926281222, 0.9008805816430335] + note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' + transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, + rotational-relaxation: 2.0, note: GRI-Mech} +- name: C3H8(33) + composition: {H: 8, C: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 986.5741824852131, 5000.0] + data: + - [3.052565931612535, 0.01250994052655728, 3.793862567309607e-05, -5.120220837447088e-08, + 1.8706492840834734e-11, -14454.176775999556, 10.067246001067637] + - [5.91316392026703, 0.021876253744009963, -8.176607701325125e-06, 1.4985452522965277e-09, + -1.0599135379428694e-13, -16038.878659602295, -8.865558390351929] + note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + + group(Cs-CsHHH)' + transport: {model: gas, geometry: nonlinear, well-depth: 266.8010668626943, diameter: 4.982000000000001, + rotational-relaxation: 1.0, note: GRI-Mech} +- name: N2 + composition: {N: 2} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] + - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, well-depth: 97.53030619382686, diameter: 3.621000000000001, + polarizability: 1.760000000000001, rotational-relaxation: 4.0, note: GRI-Mech} +- name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 136.50054988458677, diameter: 3.3300000000000005, + note: GRI-Mech} +- name: He + composition: {He: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 10.2, diameter: 2.5760000000000005, + note: NOx2018} +- name: Ne + composition: {Ne: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, well-depth: 148.6, diameter: 3.758, note: Epsilon + & sigma estimated with fixed Lennard Jones Parameters. This is the fallback + method! Try improving transport databases!} +reactions: +- equation: O(2) + H2(3) <=> H(4) + OH(5) + rate-constant: {A: 0.038700000000000005, b: 2.7, Ea: 26191.84} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + HO2(6) <=> O2(7) + OH(5) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) + rate-constant: {A: 9.63, b: 2.0, Ea: 16736.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH(9) <=> H(4) + CO(10) + rate-constant: {A: 57000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2(11) <=> H(4) + HCO(12) + rate-constant: {A: 80000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) + rate-constant: {A: 15000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) + rate-constant: {A: 15000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) + rate-constant: {A: 50600000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) + rate-constant: {A: 1020.0000000000001, b: 1.5, Ea: 35982.4} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + HCO(12) <=> OH(5) + CO(10) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + HCO(12) <=> H(4) + CO2(17) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) + rate-constant: {A: 39000000.00000001, b: 0.0, Ea: 14811.36} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) + rate-constant: {A: 0.38800000000000007, b: 2.5, Ea: 12970.4} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) + rate-constant: {A: 0.13000000000000003, b: 2.5, Ea: 20920.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H(21) <=> CO(10) + CH(9) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) + rate-constant: {A: 13.500000000000002, b: 2.0, Ea: 7949.6} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) + rate-constant: {A: 46000000000000.01, b: -1.41, Ea: 121126.8} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) + rate-constant: {A: 6.940000000000001, b: 2.0, Ea: 7949.6} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) + rate-constant: {A: 12.500000000000002, b: 1.83, Ea: 920.48} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) + rate-constant: {A: 22400000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) + rate-constant: {A: 89.80000000000001, b: 1.92, Ea: 23806.96} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) + rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 33472.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) + rate-constant: {A: 1750000.0000000002, b: 0.0, Ea: 5648.400000000001} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CO(10) <=> O(2) + CO2(17) + rate-constant: {A: 2500000.0000000005, b: 0.0, Ea: 199995.2} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) + rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 167360.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) + rate-constant: {A: 20800000.000000004, b: -1.24, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) + rate-constant: {A: 11260000.000000002, b: -0.76, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + H(4) <=> O(2) + OH(5) + rate-constant: {A: 26500000000.000004, b: -0.6707, Ea: 71299.54400000001} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) + rate-constant: {A: 90000.00000000001, b: -0.6, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) + rate-constant: {A: 60000000.00000001, b: -1.25, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) + rate-constant: {A: 550000000.0000001, b: -2.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HO2(6) <=> O(2) + H2O(28) + rate-constant: {A: 3970000.0000000005, b: 0.0, Ea: 2807.464} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HO2(6) <=> O2(7) + H2(3) + rate-constant: {A: 44800000.00000001, b: 0.0, Ea: 4468.512000000001} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HO2(6) <=> OH(5) + OH(5) + rate-constant: {A: 84000000.00000001, b: 0.0, Ea: 2656.84} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) + rate-constant: {A: 12.100000000000001, b: 2.0, Ea: 21756.8} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 15062.400000000001} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH(9) <=> H2(3) + C(29) + rate-constant: {A: 165000000.00000003, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) + rate-constant: {A: 660.0000000000001, b: 1.62, Ea: 45354.560000000005} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HCO(12) <=> H2(3) + CO(10) + rate-constant: {A: 73400000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) + rate-constant: {A: 57.40000000000001, b: 1.9, Ea: 11472.528} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) + rate-constant: {A: 165000.00000000003, b: 0.65, Ea: -1188.256} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) + rate-constant: {A: 32800000.000000004, b: -0.09, Ea: 2552.2400000000002} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) + rate-constant: {A: 41.50000000000001, b: 1.63, Ea: 8050.0160000000005} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) + rate-constant: {A: 1500000.0000000002, b: 0.5, Ea: -460.24} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) + rate-constant: {A: 262000000.00000003, b: -0.23, Ea: 4476.88} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) + rate-constant: {A: 17.000000000000004, b: 2.1, Ea: 20376.08} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) + rate-constant: {A: 4.200000000000001, b: 2.1, Ea: 20376.08} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) + rate-constant: {A: 1.3250000000000002, b: 2.53, Ea: 51212.16} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) + rate-constant: {A: 2000000.0000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) + rate-constant: {A: 115.00000000000001, b: 1.9, Ea: 31505.52} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) + rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 33472.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) + rate-constant: {A: 11300000.000000002, b: 0.0, Ea: 14342.752} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + H2(3) <=> H(4) + H2O(28) + rate-constant: {A: 216.00000000000003, b: 1.51, Ea: 14351.12} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + OH(5) <=> O(2) + H2O(28) + rate-constant: {A: 0.0357, b: 2.4, Ea: -8828.24} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) + duplicate: true + rate-constant: {A: 14500000.000000002, b: 0.0, Ea: -2092.0} +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) + duplicate: true + rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 72508.72} +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) + duplicate: true + rate-constant: {A: 2000000.0000000002, b: 0.0, Ea: 1786.568} +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) + duplicate: true + rate-constant: {A: 1700000000000.0002, b: 0.0, Ea: 123051.44} +- equation: OH(5) + C(29) <=> H(4) + CO(10) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH(9) <=> H(4) + HCO(12) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) + rate-constant: {A: 11.300000000000002, b: 2.0, Ea: 12552.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) + rate-constant: {A: 56.00000000000001, b: 1.6, Ea: 22677.280000000002} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) + rate-constant: {A: 644000000000.0001, b: -1.34, Ea: 5928.728} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) + rate-constant: {A: 100.00000000000001, b: 1.6, Ea: 13054.08} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CO(10) <=> H(4) + CO2(17) + rate-constant: {A: 47.60000000000001, b: 1.228, Ea: 292.88} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) + rate-constant: {A: 3430.0000000000005, b: 1.18, Ea: -1870.248} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) + rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) + rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) + rate-constant: {A: 1.4400000000000002, b: 2.0, Ea: -3514.56} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) + rate-constant: {A: 6.300000000000001, b: 2.0, Ea: 6276.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) + rate-constant: {A: 2.1800000000000005e-10, b: 4.5, Ea: -4184.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) + rate-constant: {A: 0.5040000000000001, b: 2.3, Ea: 56484.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) + rate-constant: {A: 33.7, b: 2.0, Ea: 58576.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) + rate-constant: {A: 4.830000000000001e-10, b: 4.0, Ea: -8368.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) + rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) + rate-constant: {A: 3.6000000000000005, b: 2.0, Ea: 10460.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) + rate-constant: {A: 3.5400000000000005, b: 2.12, Ea: 3640.08} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) + rate-constant: {A: 7500000.000000001, b: 0.0, Ea: 8368.0} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) + duplicate: true + rate-constant: {A: 130000.00000000001, b: 0.0, Ea: -6819.92} +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) + duplicate: true + rate-constant: {A: 420000000.00000006, b: 0.0, Ea: 50208.0} +- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) + rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) + rate-constant: {A: 1000000.0000000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) + rate-constant: {A: 37800000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) + rate-constant: {A: 150000000.00000003, b: 0.0, Ea: 98742.40000000001} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) + rate-constant: {A: 5.6000000000000005, b: 2.0, Ea: 50208.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C(29) <=> O(2) + CO(10) + rate-constant: {A: 58000000.00000001, b: 0.0, Ea: 2409.984} + note: 'Source: Library GRI-Mech3.0' +- equation: C(29) + CH2(11) <=> H(4) + C2H(21) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH(9) <=> O(2) + HCO(12) + rate-constant: {A: 67100000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + CH(9) <=> H(4) + CH2(11) + rate-constant: {A: 108000000.00000001, b: 0.0, Ea: 13012.24} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) + rate-constant: {A: 5710000.000000001, b: 0.0, Ea: -3158.92} + note: 'Source: Library GRI-Mech3.0' +- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) + rate-constant: {A: 40000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) + rate-constant: {A: 60000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) + rate-constant: {A: 190000000.00000003, b: 0.0, Ea: 66073.728} + note: 'Source: Library GRI-Mech3.0' +- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) + rate-constant: {A: 94600000.00000001, b: 0.0, Ea: -2154.76} + note: 'Source: Library GRI-Mech3.0' +- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) + rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2(11) <=> H(4) + OH(5) + CO(10) + rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 6276.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) + rate-constant: {A: 0.5000000000000001, b: 2.0, Ea: 30250.32} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) + rate-constant: {A: 1600000000.0000002, b: 0.0, Ea: 49973.696} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) + rate-constant: {A: 40000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) + rate-constant: {A: 2.4600000000000004, b: 2.0, Ea: 34601.68} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) + rate-constant: {A: 28000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) + rate-constant: {A: 12000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) + rate-constant: {A: 70000000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) + rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) + rate-constant: {A: 12000000.000000002, b: 0.0, Ea: -2384.88} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) + rate-constant: {A: 16000000.000000002, b: 0.0, Ea: -2384.88} + note: 'Source: Library GRI-Mech3.0' +- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) + rate-constant: {A: 9000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) + rate-constant: {A: 7000000.000000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) + rate-constant: {A: 14000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) + rate-constant: {A: 40000000.00000001, b: 0.0, Ea: -2301.2000000000003} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) + rate-constant: {A: 35600000.00000001, b: 0.0, Ea: 127528.32} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) + rate-constant: {A: 2310000.0000000005, b: 0.0, Ea: 84997.96} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) + rate-constant: {A: 0.024500000000000004, b: 2.47, Ea: 21673.120000000003} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) + rate-constant: {A: 6840000.000000001, b: 0.1, Ea: 44350.4} + note: 'Source: Library GRI-Mech3.0' +- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) + rate-constant: {A: 26480000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) + rate-constant: {A: 0.0033200000000000005, b: 2.81, Ea: 24518.24} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) + rate-constant: {A: 30.000000000000004, b: 1.5, Ea: 41588.96} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) + rate-constant: {A: 10.000000000000002, b: 1.5, Ea: 41588.96} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) + rate-constant: {A: 0.22700000000000004, b: 2.0, Ea: 38492.8} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) + rate-constant: {A: 6.1400000000000015, b: 1.74, Ea: 43722.8} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) + rate-constant: {A: 1500000000000.0002, b: -1.0, Ea: 71128.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) + rate-constant: {A: 13450000.000000002, b: 0.0, Ea: 1673.6000000000001} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) + rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 3765.6000000000004} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) + rate-constant: {A: 4.2800000000000005e-19, b: 7.6, Ea: -14769.52} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: -3158.92} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) + rate-constant: {A: 56800.00000000001, b: 0.9, Ea: 8338.712} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) + rate-constant: {A: 45800000000.00001, b: -1.39, Ea: 4246.76} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) + rate-constant: {A: 840000.0000000001, b: 0.0, Ea: 16213.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) + rate-constant: {A: 3200000.0000000005, b: 0.0, Ea: 3573.136} + note: 'Source: Library GRI-Mech3.0' +- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) + rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3(14) <=> H(4) + H2(3) + CO(10) + rate-constant: {A: 33700000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) + rate-constant: {A: 6.700000000000001, b: 1.83, Ea: 920.48} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) + rate-constant: {A: 109600000.00000001, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3(14) <=> H2(3) + CH2O(15) + rate-constant: {A: 8000.000000000001, b: 0.5, Ea: -7342.92} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2(11) <=> H(4) + H(4) + CO2(17) + rate-constant: {A: 5800000.000000001, b: 0.0, Ea: 6276.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) + rate-constant: {A: 2400000.0000000005, b: 0.0, Ea: 6276.0} + note: 'Source: Library GRI-Mech3.0' +- equation: CH2(11) + CH2(11) <=> H(4) + H(4) + C2H2(22) + rate-constant: {A: 200000000.00000003, b: 0.0, Ea: 45977.976} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O(28) + CH2(S)(13) <=> H2(3) + CH2O(15) + rate-constant: {A: 68200.00000000001, b: 0.25, Ea: -3912.04} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) + rate-constant: {A: 303000.00000000006, b: 0.29, Ea: 46.024} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) + rate-constant: {A: 1.3370000000000002, b: 1.61, Ea: -1606.656} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) + rate-constant: {A: 2920000.0000000005, b: 0.0, Ea: 7564.6720000000005} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH3CHO(32) <=> OH(5) + CO(10) + CH3(14) + rate-constant: {A: 2920000.0000000005, b: 0.0, Ea: 7564.6720000000005} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH3CHO(32) <=> HO2(6) + CO(10) + CH3(14) + rate-constant: {A: 30100000.000000004, b: 0.0, Ea: 163803.6} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) + rate-constant: {A: 2050.0000000000005, b: 1.16, Ea: 10062.52} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3CHO(32) <=> H2(3) + CO(10) + CH3(14) + rate-constant: {A: 2050.0000000000005, b: 1.16, Ea: 10062.52} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3CHO(32) <=> H2O(28) + CO(10) + CH3(14) + rate-constant: {A: 23430.000000000004, b: 0.73, Ea: -4656.792} + note: 'Source: Library GRI-Mech3.0' +- equation: HO2(6) + CH3CHO(32) <=> H2O2(8) + CO(10) + CH3(14) + rate-constant: {A: 3010000.0000000005, b: 0.0, Ea: 49885.832} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + CH3CHO(32) <=> CO(10) + CH3(14) + CH4(16) + rate-constant: {A: 2.7200000000000006, b: 1.77, Ea: 24769.280000000002} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CH2CHO(31) <=> H(4) + CO2(17) + CH2(11) + rate-constant: {A: 150000000.00000003, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2CHO(31) <=> OH(5) + CO(10) + CH2O(15) + rate-constant: {A: 18100.000000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + CH2CHO(31) <=> OH(5) + HCO(12) + HCO(12) + rate-constant: {A: 23500.000000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) + rate-constant: {A: 22000000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) + rate-constant: {A: 11000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) + rate-constant: {A: 12000000.000000002, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) + rate-constant: {A: 30100000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + O(2) (+ M) <=> O2(7) (+ M) + type: three-body + rate-constant: {A: 120000.00000000001, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2, CO2(17): 3.6, ethane(1): 3, H2O(28): 15.4, H2(3): 2.4, + Ar: 0.83} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + H(4) (+ M) <=> OH(5) (+ M) + type: three-body + rate-constant: {A: 500000.0000000001, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: O2(7) + H(4) (+ M) <=> HO2(6) (+ M) + type: three-body + rate-constant: {A: 2800000.0000000005, b: -0.86, Ea: 0.0} + efficiencies: {CO2(17): 1.5, ethane(1): 1.5, H2O(28): 0, O2(7): 0, N2: 0, Ar: 0} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + H(4) (+ M) <=> H2(3) (+ M) + type: three-body + rate-constant: {A: 1000000.0000000002, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2, CO2(17): 0, ethane(1): 3, H2O(28): 0, H2(3): 0, Ar: 0.63} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + OH(5) (+ M) <=> H2O(28) (+ M) + type: three-body + rate-constant: {A: 22000000000.000004, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3, CH4(16): 2, H2(3): 0.73, H2O(28): 3.65, Ar: 0.38} + note: 'Source: Library GRI-Mech3.0' +- equation: HCO(12) (+ M) <=> H(4) + CO(10) (+ M) + type: three-body + rate-constant: {A: 187000000000.00003, b: -1.0, Ea: 71128.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 0, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: O(2) + CO(10) (+ M) <=> CO2(17) (+ M) + type: falloff + high-P-rate-constant: {A: 18000.000000000004, b: 0.0, Ea: 9978.84} + low-P-rate-constant: {A: 602.0000000000001, b: 0.0, Ea: 12552.0} + efficiencies: {CH4(16): 2, CO2(17): 3.5, ethane(1): 3, H2O(28): 6, H2(3): 2, O2(7): 6, + Ar: 0.5} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2(11) (+ M) <=> CH3(14) (+ M) + type: falloff + high-P-rate-constant: {A: 600000000.0000001, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 104000000000000.02, b: -2.76, Ea: 6694.400000000001} + Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3(14) (+ M) <=> CH4(16) (+ M) + type: falloff + high-P-rate-constant: {A: 13900000000.000002, b: -0.534, Ea: 2242.6240000000003} + low-P-rate-constant: {A: 2.6200000000000005e+21, b: -4.76, Ea: 10208.960000000001} + Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} + efficiencies: {CH4(16): 3, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HCO(12) (+ M) <=> CH2O(15) (+ M) + type: falloff + high-P-rate-constant: {A: 1090000.0000000002, b: 0.48, Ea: -1087.8400000000001} + low-P-rate-constant: {A: 2470000000000.0005, b: -2.57, Ea: 1778.2} + Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2O(15) (+ M) <=> CH2OH(18) (+ M) + type: falloff + high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 15062.400000000001} + low-P-rate-constant: {A: 1.2700000000000002e+20, b: -4.82, Ea: 27321.52} + Troe: {A: 0.7187, T3: 103.0, T1: 1291.0, T2: 4160.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2O(15) (+ M) <=> CH3O(19) (+ M) + type: falloff + high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 10878.4} + low-P-rate-constant: {A: 2.2000000000000005e+18, b: -4.8, Ea: 23263.04} + Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2OH(18) (+ M) <=> CH3OH(20) (+ M) + type: falloff + high-P-rate-constant: {A: 1055000.0000000002, b: 0.5, Ea: 359.824} + low-P-rate-constant: {A: 4.360000000000001e+19, b: -4.65, Ea: 21254.72} + Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH3O(19) (+ M) <=> CH3OH(20) (+ M) + type: falloff + high-P-rate-constant: {A: 2430000.0000000005, b: 0.515, Ea: 209.20000000000002} + low-P-rate-constant: {A: 4.660000000000001e+29, b: -7.44, Ea: 58910.72} + Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H(21) (+ M) <=> C2H2(22) (+ M) + type: falloff + high-P-rate-constant: {A: 100000000000.00002, b: -1.0, Ea: 0.0} + low-P-rate-constant: {A: 3.750000000000001e+21, b: -4.8, Ea: 7949.6} + Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H2(22) (+ M) <=> C2H3(24) (+ M) + type: falloff + high-P-rate-constant: {A: 5600000.000000001, b: 0.0, Ea: 10041.6} + low-P-rate-constant: {A: 3.8000000000000008e+28, b: -7.27, Ea: 30208.48} + Troe: {A: 0.7507, T3: 98.5, T1: 1302.0, T2: 4167.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H3(24) (+ M) <=> C2H4(26) (+ M) + type: falloff + high-P-rate-constant: {A: 6080000.000000001, b: 0.27, Ea: 1171.52} + low-P-rate-constant: {A: 1.4000000000000003e+18, b: -3.86, Ea: 13890.880000000001} + Troe: {A: 0.782, T3: 207.5, T1: 2663.0, T2: 6095.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H4(26) (+ M) <=> C2H5(27) (+ M) + type: falloff + high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 7614.88} + low-P-rate-constant: {A: 6.0000000000000005e+29, b: -7.62, Ea: 29162.48} + Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4374.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + C2H5(27) (+ M) <=> ethane(1) (+ M) + type: falloff + high-P-rate-constant: {A: 521000000000.00006, b: -0.99, Ea: 6610.72} + low-P-rate-constant: {A: 1.9900000000000005e+29, b: -7.08, Ea: 27970.04} + Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + CO(10) (+ M) <=> CH2O(15) (+ M) + type: falloff + high-P-rate-constant: {A: 43.00000000000001, b: 1.5, Ea: 333046.4} + low-P-rate-constant: {A: 5070000000000001.0, b: -3.42, Ea: 352920.4} + Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 10300.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + OH(5) (+ M) <=> H2O2(8) (+ M) + type: falloff + high-P-rate-constant: {A: 74000000.00000001, b: -0.37, Ea: 0.0} + low-P-rate-constant: {A: 2300000.0000000005, b: -0.9, Ea: -7112.8} + Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: OH(5) + CH3(14) (+ M) <=> CH3OH(20) (+ M) + type: falloff + high-P-rate-constant: {A: 2790000000000.0005, b: -1.43, Ea: 5564.72} + low-P-rate-constant: {A: 4.000000000000001e+24, b: -5.92, Ea: 13137.76} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: CO(10) + CH(9) (+ M) <=> HCCO(23) (+ M) + type: falloff + high-P-rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 2.6900000000000004e+16, b: -3.74, Ea: 8100.224} + Troe: {A: 0.5757, T3: 237.0, T1: 1652.0, T2: 5069.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: CO(10) + CH2(11) (+ M) <=> CH2CO(25) (+ M) + type: falloff + high-P-rate-constant: {A: 810000.0000000001, b: 0.5, Ea: 18869.84} + low-P-rate-constant: {A: 2.6900000000000005e+21, b: -5.11, Ea: 29685.48} + Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H2O(28) + CH2(S)(13) (+ M) <=> CH3OH(20) (+ M) + type: falloff + high-P-rate-constant: {A: 482000000000.00006, b: -1.16, Ea: 4790.68} + low-P-rate-constant: {A: 1.8800000000000002e+26, b: -6.36, Ea: 21087.36} + Troe: {A: 0.6027, T3: 208.0, T1: 3922.0, T2: 10180.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + CH3(14) (+ M) <=> ethane(1) (+ M) + type: falloff + high-P-rate-constant: {A: 67700000000.00001, b: -1.18, Ea: 2736.3360000000002} + low-P-rate-constant: {A: 3.4000000000000005e+29, b: -7.03, Ea: 11556.208} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: C2H4(26) (+ M) <=> H2(3) + C2H2(22) (+ M) + type: falloff + high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045.68} + low-P-rate-constant: {A: 1.5800000000000004e+45, b: -9.3, Ea: 409195.2} + Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H2(3) + CH(9) (+ M) <=> CH3(14) (+ M) + type: falloff + high-P-rate-constant: {A: 1970000.0000000002, b: 0.43, Ea: -1548.0800000000002} + low-P-rate-constant: {A: 48200000000000.01, b: -2.8, Ea: 2468.56} + Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + CH2CO(25) (+ M) <=> CH2CHO(31) (+ M) + type: falloff + high-P-rate-constant: {A: 486500.00000000006, b: 0.422, Ea: -7342.92} + low-P-rate-constant: {A: 1.0120000000000002e+30, b: -7.63, Ea: 16125.136} + Troe: {A: 0.465, T3: 201.0, T1: 1773.0, T2: 5333.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: CH3(14) + C2H5(27) (+ M) <=> C3H8(33) (+ M) + type: falloff + high-P-rate-constant: {A: 9430000.000000002, b: 0.0, Ea: 0.0} + low-P-rate-constant: {A: 2.7100000000000003e+62, b: -16.82, Ea: 54663.96} + Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} + efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} + note: 'Source: Library GRI-Mech3.0' +- equation: H(4) + HO2(6) <=> H2O2(8) + rate-constant: {A: 5250.69, b: 1.27262, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O + in family R_Recombination.' +- equation: H(4) + CH(9) <=> CH2(S)(13) + rate-constant: {A: 53700000.0, b: 0.15395, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O + in family R_Recombination.' +- equation: H(4) + HCCO(23) <=> CH2CO(25) + rate-constant: {A: 11386000.0, b: 0.308956, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R + in family R_Recombination.' +- equation: OH(5) + C2H(21) <=> HCCOH(30) + rate-constant: {A: 77000000.0, b: 4.95181e-08, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R + in family R_Recombination.' +- equation: H(4) + HCCO(23) <=> HCCOH(30) + rate-constant: {A: 2805150.0, b: 0.314888, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O + in family R_Recombination.' +- equation: HCO(12) + CH3(14) <=> CH3CHO(32) + rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} + note: 'Source: Template family R_Recombination | Matched reaction 71 CH3 + CHO <=> + C2H4O in R_Recombination/training; This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O]; + family: R_Recombination' +- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) + rate-constant: {A: 78286700.0, b: 0.0631113, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN + in family R_Recombination.' +- equation: CH(9) + CH(9) <=> C2H2(22) + rate-constant: {A: 99813.0, b: 0.610916, Ea: 0.0} + note: 'Source: Template family R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing + in family R_Recombination.' diff --git a/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml new file mode 100644 index 00000000000..7edfc6dba01 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml @@ -0,0 +1,2151 @@ +generator: ck2yaml +input-files: [chem_annotated.inp, tran.dat] +cantera-version: 3.1.0 +date: Sun, 03 May 2026 13:46:02 -0400 + +units: {length: cm, time: s, quantity: mol, activation-energy: + kcal/mol} + +phases: +- name: gas + thermo: ideal-gas + elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, + X] + species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), + HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), + CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), + CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), + CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), + CH2CHO(31), CH3CHO(32), C3H8(33)] + kinetics: gas + transport: mixture-averaged + state: {T: 300.0, P: 1 atm} + +elements: +- symbol: Ci + atomic-weight: 13.003 +- symbol: D + atomic-weight: 2.014 +- symbol: Oi + atomic-weight: 17.999 +- symbol: T + atomic-weight: 3.016 +- symbol: X + atomic-weight: 195.083 + +species: +- name: N2 + composition: {N: 2} + thermo: + model: NASA7 + temperature-ranges: [200.0, 1000.0, 6000.0] + data: + - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, + -1046.98, 2.96747] + - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, + -923.949, 5.87189] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 97.53 + diameter: 3.621 + polarizability: 1.76 + rotational-relaxation: 4.0 + note: GRI-Mech + note: ' N2' +- name: Ar + composition: {Ar: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 136.501 + diameter: 3.33 + note: GRI-Mech + note: ' Ar' +- name: He + composition: {He: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 10.2 + diameter: 2.576 + note: NOx2018 + note: ' He' +- name: Ne + composition: {Ne: 1} + thermo: + model: NASA7 + temperature-ranges: [200.0, 6000.0] + data: + - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 148.6 + diameter: 3.758 + note: Epsilon & sigma estimated with fixed Lennard Jones + Parameters. This is the fallback method! Try improving transport + databases! + note: ' Ne' +- name: ethane(1) + composition: {C: 2, H: 6} + thermo: + model: NASA7 + temperature-ranges: [100.0, 954.51, 5000.0] + data: + - [3.78034581, -3.24276167e-03, 5.52385408e-05, -6.38587747e-08, + 2.28639998e-11, -1.16203414e+04, 5.21029717] + - [4.58979531, 0.0141508366, -4.75965798e-06, 8.6030295e-10, + -6.21723882e-14, -1.27217507e+04, -3.61718919] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech + note: ' ethane(1)' +- name: O(2) + composition: {O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.43, 5000.0] + data: + - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, + -1.08146825e-24, 2.92302441e+04, 5.12616427] + - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, + -3.10457944e-23, 2.92302441e+04, 5.12616431] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: ' O(2)' +- name: H2(3) + composition: {H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1959.07, 5000.0] + data: + - [3.43536403, 2.12711089e-04, -2.78626711e-07, 3.40268475e-10, + -7.76035238e-14, -1031.35984, -3.908417] + - [2.78817469, 5.87629433e-04, 1.59015805e-07, -5.52749841e-11, + 4.34318867e-15, -596.149496, 0.112680145] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 38.0 + diameter: 2.92 + polarizability: 0.79 + rotational-relaxation: 280.0 + note: GRI-Mech + note: ' H2(3)' +- name: H(4) + composition: {H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.43, 5000.0] + data: + - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, + -1.08146825e-24, 2.54742178e+04, -0.444972896] + - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, + -3.10457944e-23, 2.54742178e+04, -0.444972856] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 145.0 + diameter: 2.05 + note: GRI-Mech + note: ' H(4)' +- name: OH(5) + composition: {H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1145.75, 5000.0] + data: + - [3.51456803, 2.92774947e-05, -5.3216379e-07, 1.01949078e-09, + -3.85945369e-13, 3414.2542, 2.10434888] + - [3.07193989, 6.0401556e-04, -1.39782168e-08, -2.13446271e-11, + 2.48065798e-15, 3579.38673, 4.57799962] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: ' OH(5)' +- name: HO2(6) + composition: {H: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 932.15, 5000.0] + data: + - [4.04594657, -1.73466881e-03, 1.037673e-05, -1.02203604e-08, + 3.34913497e-12, -986.754317, 4.63580691] + - [3.21023337, 3.67942896e-03, -1.27702102e-06, 2.18046526e-10, + -1.46338995e-14, -910.366376, 8.18294795] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + + radical(HOOJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 1.0 + note: GRI-Mech + note: ' HO2(6)' +- name: O2(7) + composition: {O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1074.55, 5000.0] + data: + - [3.53732305, -1.21572367e-03, 5.31622691e-06, -4.89449456e-09, + 1.45847479e-12, -1038.58852, 4.68367959] + - [3.15381735, 1.67804942e-03, -7.69977463e-07, 1.51276213e-10, + -1.0878303e-14, -1040.81578, 6.16757787] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 107.4 + diameter: 3.458 + polarizability: 1.6 + rotational-relaxation: 3.8 + note: GRI-Mech + note: ' O2(7)' +- name: H2O2(8) + composition: {H: 2, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 908.86, 5000.0] + data: + - [3.73136628, 3.35060601e-03, 9.35072049e-06, -1.521051e-08, + 6.41610704e-12, -1.77211712e+04, 5.45907911] + - [5.41576498, 2.61012017e-03, -4.39914899e-07, 4.91142548e-11, + -3.35234764e-15, -1.83029434e+04, -4.02235808] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' + transport: + model: gas + geometry: nonlinear + well-depth: 107.4 + diameter: 3.458 + rotational-relaxation: 3.8 + note: GRI-Mech + note: ' H2O2(8)' +- name: CH(9) + composition: {C: 1, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 926.5, 5000.0] + data: + - [4.1148838, -3.61056223e-04, -6.34738425e-06, 1.05888309e-08, + -4.57059264e-12, 7.50838554e+04, 1.61269483] + - [2.33973158, 1.75858227e-03, -8.02917064e-07, 1.40457491e-10, + -8.47497084e-15, 7.56507515e+04, 11.3254514] + note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' + transport: + model: gas + geometry: linear + well-depth: 80.0 + diameter: 2.75 + note: GRI-Mech + note: ' CH(9)' +- name: CO(10) + composition: {C: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1571.63, 5000.0] + data: + - [3.56838018, -8.52127575e-04, 2.48918313e-06, -1.56331527e-09, + 3.13596741e-13, -1.42842549e+04, 3.57912103] + - [2.91305833, 1.64659035e-03, -6.88621132e-07, 1.21038705e-10, + -7.84028344e-15, -1.41808802e+04, 6.71050618] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: linear + well-depth: 98.1 + diameter: 3.65 + polarizability: 1.95 + rotational-relaxation: 1.8 + note: GRI-Mech + note: ' CO(10)' +- name: CH2(11) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1104.62, 5000.0] + data: + - [4.01192384, -1.54978395e-04, 3.26297741e-06, -2.40421749e-09, + 5.69496542e-13, 4.58676802e+04, 0.533200629] + - [3.14983372, 2.96674285e-03, -9.76055999e-07, 1.54115317e-10, + -9.50338433e-15, 4.60581391e+04, 4.77807749] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: ' CH2(11)' +- name: HCO(12) + composition: {C: 1, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1565.71, 5000.0] + data: + - [4.35602339, -3.47090244e-03, 1.25665002e-05, -9.99496788e-09, + 2.27891028e-12, 3995.77038, 2.75111522] + - [4.61855219, 5.04472757e-03, -4.39249038e-06, 9.73300021e-10, + -7.07449732e-14, 2787.56573, -2.22892654] + note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + note: GRI-Mech + note: ' HCO(12)' +- name: CH2(S)(13) + composition: {C: 1, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1442.35, 5000.0] + data: + - [4.10264426, -1.44068935e-03, 5.45070452e-06, -3.58003554e-09, + 7.56197573e-13, 5.04005785e+04, -0.411767745] + - [2.62646195, 3.94764706e-03, -1.4992506e-06, 2.5454117e-10, + -1.62957407e-14, 5.06917593e+04, 6.78386057] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: ' CH2(S)(13)' +- name: CH3(14) + composition: {C: 1, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1337.62, 5000.0] + data: + - [3.91546855, 1.84153347e-03, 3.48744614e-06, -3.327506e-09, + 8.4996697e-13, 1.62856393e+04, 0.35173804] + - [3.54144382, 4.76788914e-03, -1.8214953e-06, 3.28879039e-10, + -2.22547534e-14, 1.62239645e+04, 1.66042831] + note: 'Thermo library: primaryThermoLibrary + radical(CH3)' + transport: + model: gas + geometry: nonlinear + well-depth: 144.001 + diameter: 3.8 + note: GRI-Mech + note: ' CH3(14)' +- name: CH2O(15) + composition: {C: 1, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1402.28, 5000.0] + data: + - [4.32289669, -5.06327946e-03, 2.15155802e-05, -1.76521656e-08, + 4.31815827e-12, -1.42789565e+04, 2.39242264] + - [3.17993633, 9.55601269e-03, -6.27302845e-06, 1.33554819e-09, + -9.68412621e-14, -1.50752191e+04, 4.3108517] + note: 'Thermo group additivity estimation: group(Cds-OdHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 498.002 + diameter: 3.59 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH2O(15)' +- name: CH4(16) + composition: {C: 1, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1084.12, 5000.0] + data: + - [4.20541325, -5.3555507e-03, 2.51122494e-05, -2.13761892e-08, + 5.97520127e-12, -1.01619432e+04, -0.92127211] + - [0.908277192, 0.0114540669, -4.57172762e-06, 8.29189195e-10, + -5.66312867e-14, -9719.97946, 13.9930295] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 141.4 + diameter: 3.746 + polarizability: 2.6 + rotational-relaxation: 13.0 + note: GRI-Mech + note: ' CH4(16)' +- name: CO2(17) + composition: {C: 1, O: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 988.89, 5000.0] + data: + - [3.27861396, 2.74149079e-03, 7.16085031e-06, -1.08028769e-08, + 4.1428828e-12, -4.84703146e+04, 5.97935566] + - [4.54608551, 2.91915053e-03, -1.15484744e-06, 2.27656089e-10, + -1.70911955e-14, -4.89803552e+04, -1.43268931] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + + group(Cdd-OdOd)' + transport: + model: gas + geometry: linear + well-depth: 244.001 + diameter: 3.763 + polarizability: 2.65 + rotational-relaxation: 2.1 + note: GRI-Mech + note: ' CO2(17)' +- name: CH2OH(18) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 895.01, 5000.0] + data: + - [3.71174788, 1.93104955e-03, 2.12342247e-05, -3.03158126e-08, + 1.24878212e-11, -4007.45954, 7.29199368] + - [6.0562988, 3.02173847e-03, 1.7209484e-08, -6.96273685e-11, + 5.18216423e-15, -4890.50553, -6.34765428] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(CsJOH)' + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH2OH(18)' +- name: CH3O(19) + composition: {C: 1, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 916.88, 5000.0] + data: + - [4.00135756, -4.15683599e-03, 3.26354326e-05, -3.71118106e-08, + 1.35709179e-11, -6.15257049, 6.81371404] + - [4.01622385, 6.26813207e-03, -1.58068048e-06, 2.44606571e-10, + -1.70337206e-14, -449.805468, 4.33879635] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(H3COJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 417.002 + diameter: 3.69 + dipole: 1.7 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH3O(19)' +- name: CH3OH(20) + composition: {C: 1, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 952.14, 5000.0] + data: + - [3.89496188, -7.71353403e-04, 2.64755162e-05, -2.91793631e-08, + 1.00834701e-11, -2.63358548e+04, 6.36475921] + - [3.1380783, 0.0103542064, -3.56957321e-06, 6.22286704e-10, + -4.27805568e-14, -2.65518956e+04, 8.08777794] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 481.802 + diameter: 3.626 + rotational-relaxation: 1.0 + note: GRI-Mech + note: ' CH3OH(20)' +- name: C2H(21) + composition: {C: 2, H: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1076.57, 5000.0] + data: + - [3.03852842, 0.0115449446, -2.1326486e-05, 1.81933853e-08, + -5.41594365e-12, 6.63980141e+04, 5.96676387] + - [4.00847668, 2.06813253e-03, 6.05140392e-08, -1.17711432e-10, + 1.2928431e-14, 6.65295124e+04, 2.79643174] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + + radical(Acetyl)' + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech + note: ' C2H(21)' +- name: C2H2(22) + composition: {C: 2, H: 2} + thermo: + model: NASA7 + temperature-ranges: [100.0, 888.62, 5000.0] + data: + - [3.03575852, 7.71224879e-03, 2.53547285e-06, -1.08140914e-08, + 5.50793884e-12, 2.58526439e+04, 4.54457355] + - [5.76201702, 2.37163751e-03, -1.49612163e-07, -2.19083643e-11, + 2.21719408e-15, 2.50944613e+04, -9.82592794] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' + transport: + model: gas + geometry: linear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 2.5 + note: GRI-Mech + note: ' C2H2(22)' +- name: HCCO(23) + composition: {C: 2, H: 1, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 936.07, 5000.0] + data: + - [3.4564722, 0.0105728707, -7.35997931e-06, 7.97486586e-10, + 8.64478893e-13, 2.25956881e+04, 7.0949663] + - [5.99810699, 3.14479413e-03, -9.57800744e-07, 1.55621067e-10, + -1.04308274e-14, 2.19694638e+04, -5.80237178] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d) + radical(Cds_P)' + transport: + model: gas + geometry: nonlinear + well-depth: 150.001 + diameter: 2.5 + rotational-relaxation: 1.0 + note: GRI-Mech + note: ' HCCO(23)' +- name: C2H3(24) + composition: {C: 2, H: 3} + thermo: + model: NASA7 + temperature-ranges: [100.0, 931.99, 5000.0] + data: + - [3.90664144, -4.06161805e-03, 3.86750556e-05, -4.62935629e-08, + 1.72881849e-11, 3.4797181e+04, 6.09811683] + - [5.44816135, 4.98322063e-03, -1.08800803e-06, 1.7978957e-10, + -1.45056338e-14, 3.38296948e+04, -4.87918004] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + + radical(Cds_P)' + transport: + model: gas + geometry: nonlinear + well-depth: 209.001 + diameter: 4.1 + rotational-relaxation: 1.0 + note: GRI-Mech + note: ' C2H3(24)' +- name: CH2CO(25) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 956.66, 5000.0] + data: + - [3.52749371, 7.08332357e-03, 9.17849516e-06, -1.6427296e-08, + 6.71199378e-12, -7123.94295, 5.74368683] + - [5.76484386, 5.96577584e-03, -1.98497203e-06, 3.52770109e-10, + -2.51640774e-14, -7928.9566, -6.92117326] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH2CO(25)' +- name: C2H4(26) + composition: {C: 2, H: 4} + thermo: + model: NASA7 + temperature-ranges: [100.0, 940.44, 5000.0] + data: + - [3.97976108, -7.57580438e-03, 5.52980834e-05, -6.36232121e-08, + 2.31771904e-11, 5077.46015, 4.04616842] + - [5.20294093, 7.82451648e-03, -2.12688775e-06, 3.79703355e-10, + -2.94681413e-14, 3936.30299, -6.62381218] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 280.801 + diameter: 3.971 + rotational-relaxation: 1.5 + note: GRI-Mech + note: ' C2H4(26)' +- name: C2H5(27) + composition: {C: 2, H: 5} + thermo: + model: NASA7 + temperature-ranges: [100.0, 900.31, 5000.0] + data: + - [3.82183669, -3.43361377e-03, 5.09257656e-05, -6.20212162e-08, + 2.37073603e-11, 1.30660129e+04, 7.61643111] + - [5.1562072, 9.43122823e-03, -1.81946146e-06, 2.21196126e-10, + -1.43481595e-14, 1.20640832e+04, -2.91097765] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + + radical(CCJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 252.301 + diameter: 4.302 + rotational-relaxation: 1.5 + note: GRI-Mech + note: ' C2H5(27)' +- name: H2O(28) + composition: {H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1130.24, 5000.0] + data: + - [4.05763619, -7.8793987e-04, 2.90878807e-06, -1.47520429e-09, + 2.12849017e-13, -3.02815867e+04, -0.311365347] + - [2.84324805, 2.75108937e-03, -7.81033671e-07, 1.07244143e-10, + -5.79396342e-15, -2.99586117e+04, 5.91043358] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: nonlinear + well-depth: 572.402 + diameter: 2.605 + dipole: 1.844 + rotational-relaxation: 4.0 + note: GRI-Mech + note: ' H2O(28)' +- name: C(29) + composition: {C: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 3381.43, 5000.0] + data: + - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, + -1.08146825e-24, 8.54745247e+04, 3.65978421] + - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, + -3.10457944e-23, 8.54745247e+04, 3.65978425] + note: 'Thermo library: primaryThermoLibrary' + transport: + model: gas + geometry: atom + well-depth: 71.4 + diameter: 3.298 + note: GRI-Mech + note: ' C(29)' +- name: HCCOH(30) + composition: {C: 2, H: 2, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 1009.87, 5000.0] + data: + - [3.30409123, 0.012502446, -3.79505535e-06, -4.46330098e-09, + 2.66322547e-12, 8782.03542, 7.19716897] + - [6.71245515, 5.1483305e-03, -2.00078346e-06, 3.7881908e-10, + -2.74091247e-14, 7780.23552, -10.8313767] + note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + + group(Ct-CtH)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' HCCOH(30)' +- name: CH2CHO(31) + composition: {C: 2, H: 3, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 914.22, 5000.0] + data: + - [3.34714889, 1.2878732e-03, 5.39964242e-05, -7.8411219e-08, + 3.24070869e-11, -2992.84402, 8.97310193] + - [11.7261546, -1.4736918e-03, 2.90748443e-06, -5.97016286e-10, + 3.70297526e-14, -5941.53894, -38.4471263] + note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + + group(Cds-CdsHH) + radical(C=COJ)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH2CHO(31)' +- name: CH3CHO(32) + composition: {C: 2, H: 4, O: 1} + thermo: + model: NASA7 + temperature-ranges: [100.0, 984.2, 5000.0] + data: + - [3.70078025, 3.87942004e-04, 3.8692487e-05, -4.52441752e-08, + 1.58856891e-11, -2.1380908e+04, 9.13565622] + - [4.58892873, 0.0128893134, -4.91498525e-06, 9.26500064e-10, + -6.71004429e-14, -2.23360293e+04, 0.900880582] + note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + + group(Cds-OdCsH)' + transport: + model: gas + geometry: nonlinear + well-depth: 436.001 + diameter: 3.97 + rotational-relaxation: 2.0 + note: GRI-Mech + note: ' CH3CHO(32)' +- name: C3H8(33) + composition: {C: 3, H: 8} + thermo: + model: NASA7 + temperature-ranges: [100.0, 986.57, 5000.0] + data: + - [3.05256593, 0.0125099405, 3.79386257e-05, -5.12022084e-08, + 1.87064928e-11, -1.44541768e+04, 10.067246] + - [5.91316392, 0.0218762537, -8.1766077e-06, 1.49854525e-09, + -1.05991354e-13, -1.60388787e+04, -8.86555839] + note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + + group(Cs-CsHHH)' + transport: + model: gas + geometry: nonlinear + well-depth: 266.801 + diameter: 4.982 + rotational-relaxation: 1.0 + note: GRI-Mech + note: ' C3H8(33)' + +reactions: +- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 + rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} + note: | + Reaction index: Chemkin #1; RMG #1 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), OH(5); H2(3), H(4); +- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #2; RMG #2 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), O2(7); O(2), OH(5); +- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 + rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} + note: | + Reaction index: Chemkin #3; RMG #3 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), HO2(6); O(2), OH(5); +- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 + rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #4; RMG #4 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CO(10); O(2), H(4); +- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 + rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #5; RMG #5 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), HCO(12); O(2), H(4); +- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #6; RMG #6 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O(2), H2(3); +- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 + rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #7; RMG #7 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), HCO(12); O(2), H(4); +- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 + rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #8; RMG #8 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); O(2), H(4); +- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 + rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} + note: | + Reaction index: Chemkin #9; RMG #9 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); O(2), OH(5); +- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #10; RMG #10 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); O(2), OH(5); +- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #11; RMG #11 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO2(17); O(2), H(4); +- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 + rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} + note: | + Reaction index: Chemkin #12; RMG #12 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); O(2), OH(5); +- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #13; RMG #13 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); O(2), OH(5); +- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #14; RMG #14 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); O(2), OH(5); +- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 + rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} + note: | + Reaction index: Chemkin #15; RMG #15 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); O(2), OH(5); +- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 + rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} + note: | + Reaction index: Chemkin #16; RMG #16 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); O(2), OH(5); +- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #17; RMG #17 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), CO(10); O(2), CH(9); +- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 + rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} + note: | + Reaction index: Chemkin #18; RMG #18 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), HCCO(23); O(2), H(4); +- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 + rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} + note: | + Reaction index: Chemkin #19; RMG #19 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), C2H(21); O(2), OH(5); +- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 + rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} + note: | + Reaction index: Chemkin #20; RMG #20 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CO(10); O(2), CH2(11); +- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #21; RMG #21 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2CO(25); O(2), H(4); +- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 + rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} + note: | + Reaction index: Chemkin #22; RMG #22 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), HCO(12); O(2), CH3(14); +- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 + rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #23; RMG #23 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), CH2O(15); O(2), CH3(14); +- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 + rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} + note: | + Reaction index: Chemkin #24; RMG #24 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); O(2), OH(5); +- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #25; RMG #25 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); O(2), H(4); O(2), CO(10); +- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} + note: | + Reaction index: Chemkin #26; RMG #26 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); O(2), OH(5); +- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 + rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} + note: | + Reaction index: Chemkin #27; RMG #27 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), CO2(17); O(2), CH2(11); +- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 + rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} + note: | + Reaction index: Chemkin #28; RMG #28 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); O2(7), O(2); +- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} + note: | + Reaction index: Chemkin #29; RMG #29 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); O2(7), HO2(6); +- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 + rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} + note: | + Reaction index: Chemkin #30; RMG #30 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), O2(7); O2(7), O2(7); +- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 + rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} + note: | + Reaction index: Chemkin #31; RMG #31 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), H2O(28); H2O(28), H2O(28); +- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 + rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} + note: | + Reaction index: Chemkin #32; RMG #32 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), OH(5); H(4), O(2); +- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 + rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} + note: | + Reaction index: Chemkin #33; RMG #33 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), H2(3); H(4), H2(3); H(4), H2(3); +- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 + rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} + note: | + Reaction index: Chemkin #34; RMG #34 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O(28), H2O(28); H(4), H2(3); H(4), H2(3); +- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 + rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} + note: | + Reaction index: Chemkin #35; RMG #35 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CO2(17); H(4), H2(3); H(4), H2(3); +- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 + rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} + note: | + Reaction index: Chemkin #36; RMG #36 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), H2O(28); H(4), O(2); +- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 + rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} + note: | + Reaction index: Chemkin #37; RMG #37 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), O2(7); H(4), H2(3); +- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 + rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} + note: | + Reaction index: Chemkin #38; RMG #38 + Library reaction: GRI-Mech3.0 + Flux pairs: HO2(6), OH(5); H(4), OH(5); +- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 + rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} + note: | + Reaction index: Chemkin #39; RMG #39 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), HO2(6); H(4), H2(3); +- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} + note: | + Reaction index: Chemkin #40; RMG #40 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O2(8), H2O(28); H(4), OH(5); +- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 + rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #41; RMG #41 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), C(29); H(4), H2(3); +- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #42; RMG #42 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH(9); H(4), H2(3); +- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 + rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} + note: | + Reaction index: Chemkin #43; RMG #43 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); H(4), H2(3); +- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 + rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #44; RMG #44 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); H(4), H2(3); +- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 + rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} + note: | + Reaction index: Chemkin #45; RMG #45 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); H(4), H2(3); +- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #46; RMG #46 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); H(4), H2(3); +- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 + rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} + note: | + Reaction index: Chemkin #47; RMG #47 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH3(14); H(4), OH(5); +- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 + rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} + note: | + Reaction index: Chemkin #48; RMG #48 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2(S)(13); H(4), H2O(28); +- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 + rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} + note: | + Reaction index: Chemkin #49; RMG #49 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2OH(18); H(4), H(4); +- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #50; RMG #50 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); H(4), H2(3); +- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 + rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} + note: | + Reaction index: Chemkin #51; RMG #51 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH3(14); H(4), OH(5); +- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 + rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} + note: | + Reaction index: Chemkin #52; RMG #52 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2(S)(13); H(4), H2O(28); +- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 + rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} + note: | + Reaction index: Chemkin #53; RMG #53 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); H(4), H2(3); +- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 + rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} + note: | + Reaction index: Chemkin #54; RMG #54 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); H(4), H2(3); +- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #55; RMG #55 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); H(4), H2(3); +- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 + rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} + note: | + Reaction index: Chemkin #56; RMG #56 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); H(4), H2(3); +- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #57; RMG #57 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), C2H4(26); H(4), H2(3); +- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 + rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} + note: | + Reaction index: Chemkin #58; RMG #58 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); H(4), H2(3); +- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #59; RMG #59 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); H(4), CH2(S)(13); +- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} + note: | + Reaction index: Chemkin #60; RMG #60 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); H(4), H2(3); +- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 + rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} + note: | + Reaction index: Chemkin #61; RMG #61 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), CO(10); H(4), CH3(14); +- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #62; RMG #62 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCOH(30), CH2CO(25); H(4), H(4); +- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 + rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} + note: | + Reaction index: Chemkin #63; RMG #63 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O(28); H2(3), H(4); +- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 + rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} + note: | + Reaction index: Chemkin #64; RMG #64 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O(28); OH(5), O(2); +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 + duplicate: true + rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} + note: | + Reaction index: Chemkin #65; RMG #65 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 + duplicate: true + rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} + note: | + Reaction index: Chemkin #66; RMG #65 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 + duplicate: true + rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} + note: | + Reaction index: Chemkin #67; RMG #66 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 + duplicate: true + rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} + note: | + Reaction index: Chemkin #68; RMG #66 + Library reaction: GRI-Mech3.0 +- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #69; RMG #67 + Library reaction: GRI-Mech3.0 + Flux pairs: C(29), CO(10); OH(5), H(4); +- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #70; RMG #68 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), HCO(12); OH(5), H(4); +- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #71; RMG #69 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); OH(5), H(4); +- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 + rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} + note: | + Reaction index: Chemkin #72; RMG #70 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH(9); OH(5), H2O(28); +- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #73; RMG #71 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2O(15); OH(5), H(4); +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 + rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} + note: | + Reaction index: Chemkin #74; RMG #72 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2(11); OH(5), H2O(28); +- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 + rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} + note: | + Reaction index: Chemkin #75; RMG #73 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2(S)(13); OH(5), H2O(28); +- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 + rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} + note: | + Reaction index: Chemkin #76; RMG #74 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); OH(5), H2O(28); +- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 + rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} + note: | + Reaction index: Chemkin #77; RMG #75 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); OH(5), H(4); +- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #78; RMG #76 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); OH(5), H2O(28); +- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 + rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} + note: | + Reaction index: Chemkin #79; RMG #77 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); OH(5), H2O(28); +- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #80; RMG #78 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); OH(5), H2O(28); +- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #81; RMG #79 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); OH(5), H2O(28); +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 + rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} + note: | + Reaction index: Chemkin #82; RMG #80 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); OH(5), H2O(28); +- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 + rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} + note: | + Reaction index: Chemkin #83; RMG #81 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); OH(5), H2O(28); +- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #84; RMG #82 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), HCCO(23); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 + rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} + note: | + Reaction index: Chemkin #85; RMG #83 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CH2CO(25); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 + rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} + note: | + Reaction index: Chemkin #86; RMG #84 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), HCCOH(30); OH(5), H(4); +- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 + rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} + note: | + Reaction index: Chemkin #87; RMG #85 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), C2H(21); OH(5), H2O(28); +- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 + rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} + note: | + Reaction index: Chemkin #88; RMG #86 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H2(22), CO(10); OH(5), CH3(14); +- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #89; RMG #87 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); OH(5), H2O(28); +- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 + rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} + note: | + Reaction index: Chemkin #90; RMG #88 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); OH(5), H2O(28); +- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 + rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} + note: | + Reaction index: Chemkin #91; RMG #89 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); OH(5), H2O(28); +- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 + rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} + note: | + Reaction index: Chemkin #92; RMG #90 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CO(25), HCCO(23); OH(5), H2O(28); +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 + duplicate: true + rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} + note: | + Reaction index: Chemkin #93; RMG #91 + Library reaction: GRI-Mech3.0 +- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 + duplicate: true + rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} + note: | + Reaction index: Chemkin #94; RMG #91 + Library reaction: GRI-Mech3.0 +- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 + rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #95; RMG #92 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); HO2(6), OH(5); +- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 + rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #96; RMG #93 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH4(16); HO2(6), O2(7); +- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 + rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #97; RMG #94 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH3O(19); HO2(6), OH(5); +- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} + note: | + Reaction index: Chemkin #98; RMG #95 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO2(17); HO2(6), OH(5); +- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 + rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} + note: | + Reaction index: Chemkin #99; RMG #96 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); HO2(6), H2O2(8); +- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 + rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} + note: | + Reaction index: Chemkin #100; RMG #97 + Library reaction: GRI-Mech3.0 + Flux pairs: C(29), CO(10); O2(7), O(2); +- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #101; RMG #98 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H(21); C(29), H(4); +- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #102; RMG #99 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H2(22); C(29), H(4); +- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 + rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #103; RMG #100 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), HCO(12); O2(7), O(2); +- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 + rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} + note: | + Reaction index: Chemkin #104; RMG #101 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CH2(11); H2(3), H(4); +- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 + rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} + note: | + Reaction index: Chemkin #105; RMG #102 + Library reaction: GRI-Mech3.0 + Flux pairs: CH(9), CH2O(15); H2O(28), H(4); +- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #106; RMG #103 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH(9), H(4); +- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #107; RMG #104 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H3(24); CH(9), H(4); +- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 + rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #108; RMG #105 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), C2H4(26); CH(9), H(4); +- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 + rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} + note: | + Reaction index: Chemkin #109; RMG #106 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), HCO(12); CH(9), CO(10); +- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 + rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} + note: | + Reaction index: Chemkin #110; RMG #107 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), CH2CO(25); CH(9), H(4); +- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 + rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #111; RMG #108 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H2(22); CH(9), CO(10); +- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 + rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} + note: | + Reaction index: Chemkin #112; RMG #109 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CO(10); O2(7), H(4); O2(7), OH(5); +- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 + rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} + note: | + Reaction index: Chemkin #113; RMG #110 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH3(14); H2(3), H(4); +- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 + rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} + note: | + Reaction index: Chemkin #114; RMG #111 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH2(11), H2(3); +- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #115; RMG #112 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H4(26); CH2(11), H(4); +- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 + rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} + note: | + Reaction index: Chemkin #116; RMG #113 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); CH2(11), CH3(14); +- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #117; RMG #114 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H3(24); CH2(11), CO(10); +- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 + rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #118; RMG #115 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O2(7), H(4); O2(7), OH(5); +- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #119; RMG #116 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CO(10); O2(7), H2O(28); +- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 + rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #120; RMG #117 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH3(14); H2(3), H(4); +- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 + rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #121; RMG #118 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2(11); H2O(28), H2O(28); +- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} + note: | + Reaction index: Chemkin #122; RMG #119 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H4(26); CH2(S)(13), H(4); +- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 + rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} + note: | + Reaction index: Chemkin #123; RMG #120 + Library reaction: GRI-Mech3.0 + Flux pairs: CH4(16), CH3(14); CH2(S)(13), CH3(14); +- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 + rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #124; RMG #121 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CO(10); CH2(S)(13), CH2(11); +- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 + rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #125; RMG #122 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CO2(17); CH2(S)(13), CH2(11); +- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 + rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #126; RMG #123 + Library reaction: GRI-Mech3.0 + Flux pairs: CO2(17), CH2O(15); CH2(S)(13), CO(10); +- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 + rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} + note: | + Reaction index: Chemkin #127; RMG #124 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); CH2(S)(13), CH3(14); +- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 + rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} + note: | + Reaction index: Chemkin #128; RMG #125 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH3O(19); O2(7), O(2); +- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 + rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} + note: | + Reaction index: Chemkin #129; RMG #126 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); O2(7), OH(5); +- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 + rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} + note: | + Reaction index: Chemkin #130; RMG #127 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH4(16); H2O2(8), HO2(6); +- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 + rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} + note: | + Reaction index: Chemkin #131; RMG #128 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C2H5(27); CH3(14), H(4); +- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 + rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #132; RMG #129 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); CH3(14), CH4(16); +- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 + rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} + note: | + Reaction index: Chemkin #133; RMG #130 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2O(15), HCO(12); CH3(14), CH4(16); +- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 + rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} + note: | + Reaction index: Chemkin #134; RMG #131 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH2OH(18); CH3(14), CH4(16); +- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 + rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} + note: | + Reaction index: Chemkin #135; RMG #132 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3OH(20), CH3O(19); CH3(14), CH4(16); +- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 + rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} + note: | + Reaction index: Chemkin #136; RMG #133 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), C2H3(24); CH3(14), CH4(16); +- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 + rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} + note: | + Reaction index: Chemkin #137; RMG #134 + Library reaction: GRI-Mech3.0 + Flux pairs: ethane(1), C2H5(27); CH3(14), CH4(16); +- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 + rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} + note: | + Reaction index: Chemkin #138; RMG #135 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); H2O(28), H(4); H2O(28), H2O(28); +- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 + rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} + note: | + Reaction index: Chemkin #139; RMG #136 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), CO(10); O2(7), HO2(6); +- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 + rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} + note: | + Reaction index: Chemkin #140; RMG #137 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2OH(18), CH2O(15); O2(7), HO2(6); +- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 + rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} + note: | + Reaction index: Chemkin #141; RMG #138 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3O(19), CH2O(15); O2(7), HO2(6); +- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} + note: | + Reaction index: Chemkin #142; RMG #139 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), HCO(12); O2(7), CO(10); +- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 + rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} + note: | + Reaction index: Chemkin #143; RMG #140 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H(21), C2H2(22); H2(3), H(4); +- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 + rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} + note: | + Reaction index: Chemkin #144; RMG #141 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2O(15); O2(7), HCO(12); +- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 + rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} + note: | + Reaction index: Chemkin #145; RMG #142 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), C2H4(26); O2(7), HO2(6); +- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 + rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} + note: | + Reaction index: Chemkin #146; RMG #143 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), CO(10); O2(7), OH(5); O2(7), CO(10); +- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 + rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #147; RMG #144 + Library reaction: GRI-Mech3.0 + Flux pairs: HCCO(23), C2H2(22); HCCO(23), CO(10); HCCO(23), CO(10); +- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 + rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #148; RMG #145 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CO(10); O(2), H(4); O(2), H2(3); +- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 + rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} + note: | + Reaction index: Chemkin #149; RMG #146 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), CH2CHO(31); O(2), H(4); +- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 + rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #150; RMG #147 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H5(27), CH3CHO(32); O(2), H(4); +- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 + rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} + note: | + Reaction index: Chemkin #151; RMG #148 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), CH2O(15); OH(5), H2(3); +- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 + rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} + note: | + Reaction index: Chemkin #152; RMG #149 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CO2(17); O2(7), H(4); O2(7), H(4); +- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 + rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} + note: | + Reaction index: Chemkin #153; RMG #150 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), CH2O(15); O2(7), O(2); +- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 + rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} + note: | + Reaction index: Chemkin #154; RMG #151 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(11), C2H2(22); CH2(11), H(4); CH2(11), H(4); +- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 + rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} + note: | + Reaction index: Chemkin #155; RMG #152 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2(S)(13), CH2O(15); H2O(28), H2(3); +- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 + rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} + note: | + Reaction index: Chemkin #156; RMG #153 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), CH2CHO(31); O2(7), O(2); +- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 + rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} + note: | + Reaction index: Chemkin #157; RMG #154 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H3(24), C2H2(22); O2(7), HO2(6); +- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} + note: | + Reaction index: Chemkin #158; RMG #155 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CH2CHO(31); O(2), OH(5); +- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 + rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} + note: | + Reaction index: Chemkin #159; RMG #156 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); O(2), OH(5); O(2), CH3(14); +- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} + note: | + Reaction index: Chemkin #160; RMG #157 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); O2(7), HO2(6); O2(7), CH3(14); +- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} + note: | + Reaction index: Chemkin #161; RMG #158 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CH2CHO(31); H(4), H2(3); +- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 + rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} + note: | + Reaction index: Chemkin #162; RMG #159 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); H(4), H2(3); H(4), CH3(14); +- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 + rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} + note: | + Reaction index: Chemkin #163; RMG #160 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); OH(5), H2O(28); OH(5), CH3(14); +- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 + rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} + note: | + Reaction index: Chemkin #164; RMG #161 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); HO2(6), H2O2(8); HO2(6), CH3(14); +- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 + rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} + note: | + Reaction index: Chemkin #165; RMG #162 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3CHO(32), CO(10); CH3(14), CH3(14); CH3(14), CH4(16); +- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 + rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #166; RMG #163 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CO2(17); O(2), H(4); O(2), CH2(11); +- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 + rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #167; RMG #164 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2O(15); O2(7), OH(5); O2(7), CO(10); +- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 + rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #168; RMG #165 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), HCO(12); O2(7), OH(5); O2(7), HCO(12); +- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 + rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #169; RMG #166 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), HCO(12); H(4), CH3(14); +- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 + rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #170; RMG #167 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2CO(25); H(4), H2(3); +- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 + rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #171; RMG #168 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2CO(25); OH(5), H2O(28); +- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 + rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #172; RMG #169 + Library reaction: GRI-Mech3.0 + Flux pairs: CH2CHO(31), CH2OH(18); OH(5), HCO(12); +- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 + type: three-body + rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} + efficiencies: {CO2(17): 3.6, ethane(1): 3.0, CH4(16): 2.0, H2O(28): + 15.4, H2(3): 2.4, Ar: 0.83} + note: | + Reaction index: Chemkin #173; RMG #170 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), O2(7); O(2), O2(7); +- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 + type: three-body + rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #174; RMG #171 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), OH(5); H(4), OH(5); +- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 + type: three-body + rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} + efficiencies: {CO2(17): 1.5, ethane(1): 1.5, H2O(28): 0.0, O2(7): + 0.0, N2: 0.0, Ar: 0.0} + note: | + Reaction index: Chemkin #175; RMG #172 + Library reaction: GRI-Mech3.0 + Flux pairs: O2(7), HO2(6); H(4), HO2(6); +- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 + type: three-body + rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} + efficiencies: {CH4(16): 2.0, CO2(17): 0.0, ethane(1): 3.0, H2O(28): + 0.0, H2(3): 0.0, Ar: 0.63} + note: | + Reaction index: Chemkin #176; RMG #173 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), H2(3); H(4), H2(3); +- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 + type: three-body + rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} + efficiencies: {ethane(1): 3.0, CH4(16): 2.0, H2(3): 0.73, H2O(28): + 3.65, Ar: 0.38} + note: | + Reaction index: Chemkin #177; RMG #174 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), H2O(28); OH(5), H2O(28); +- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 + type: three-body + rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 0.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #178; RMG #175 + Library reaction: GRI-Mech3.0 + Flux pairs: HCO(12), H(4); HCO(12), CO(10); +- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 + type: falloff + low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} + high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} + efficiencies: {CH4(16): 2.0, CO2(17): 3.5, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, O2(7): 6.0, Ar: 0.5} + note: | + Reaction index: Chemkin #179; RMG #176 + Library reaction: GRI-Mech3.0 + Flux pairs: O(2), CO2(17); CO(10), CO2(17); +- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 + type: falloff + low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} + high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} + Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #180; RMG #177 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3(14); CH2(11), CH3(14); +- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 + type: falloff + low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} + high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} + Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} + efficiencies: {CH4(16): 3.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #181; RMG #178 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH4(16); CH3(14), CH4(16); +- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 + type: falloff + low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} + high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} + Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #182; RMG #179 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2O(15); HCO(12), CH2O(15); +- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 + type: falloff + low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} + Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #183; RMG #180 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2OH(18); CH2O(15), CH2OH(18); +- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 + type: falloff + low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} + Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #184; RMG #181 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3O(19); CH2O(15), CH3O(19); +- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 + type: falloff + low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} + high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} + Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #185; RMG #182 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3OH(20); CH2OH(18), CH3OH(20); +- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 + type: falloff + low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} + high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} + Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #186; RMG #183 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH3OH(20); CH3O(19), CH3OH(20); +- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 + type: falloff + low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} + high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} + Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #187; RMG #184 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H2(22); C2H(21), C2H2(22); +- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 + type: falloff + low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} + high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} + Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #188; RMG #185 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H3(24); C2H2(22), C2H3(24); +- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 + type: falloff + low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} + high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} + Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #189; RMG #186 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H4(26); C2H3(24), C2H4(26); +- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 + type: falloff + low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} + high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} + Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #190; RMG #187 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), C2H5(27); C2H4(26), C2H5(27); +- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 + type: falloff + low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} + high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} + Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #191; RMG #188 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), ethane(1); C2H5(27), ethane(1); +- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 + type: falloff + low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} + high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} + Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #192; RMG #189 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), CH2O(15); CO(10), CH2O(15); +- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 + type: falloff + low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} + high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} + Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #193; RMG #190 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), H2O2(8); OH(5), H2O2(8); +- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 + type: falloff + low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} + high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} + Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #194; RMG #191 + Library reaction: GRI-Mech3.0 + Flux pairs: OH(5), CH3OH(20); CH3(14), CH3OH(20); +- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 + type: falloff + low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} + high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} + Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #195; RMG #192 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), HCCO(23); CH(9), HCCO(23); +- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 + type: falloff + low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} + high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} + Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #196; RMG #193 + Library reaction: GRI-Mech3.0 + Flux pairs: CO(10), CH2CO(25); CH2(11), CH2CO(25); +- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 + type: falloff + low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} + high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} + Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0} + note: | + Reaction index: Chemkin #197; RMG #194 + Library reaction: GRI-Mech3.0 + Flux pairs: H2O(28), CH3OH(20); CH2(S)(13), CH3OH(20); +- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 + type: falloff + low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} + high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} + Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #198; RMG #195 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), ethane(1); CH3(14), ethane(1); +- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 + type: falloff + low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} + high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} + Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #199; RMG #196 + Library reaction: GRI-Mech3.0 + Flux pairs: C2H4(26), H2(3); C2H4(26), C2H2(22); +- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 + type: falloff + low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} + high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} + Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #200; RMG #197 + Library reaction: GRI-Mech3.0 + Flux pairs: H2(3), CH3(14); CH(9), CH3(14); +- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 + type: falloff + low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} + high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} + Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #201; RMG #198 + Library reaction: GRI-Mech3.0 + Flux pairs: H(4), CH2CHO(31); CH2CO(25), CH2CHO(31); +- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 + type: falloff + low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} + high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} + Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} + efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): + 6.0, H2(3): 2.0, Ar: 0.7} + note: | + Reaction index: Chemkin #202; RMG #199 + Library reaction: GRI-Mech3.0 + Flux pairs: CH3(14), C3H8(33); C2H5(27), C3H8(33); +- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 + rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} + note: | + Reaction index: Chemkin #203; RMG #200 + Template reaction: R_Recombination + Flux pairs: HO2(6), H2O2(8); H(4), H2O2(8); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O in family R_Recombination. +- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 + rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} + note: | + Reaction index: Chemkin #204; RMG #201 + Template reaction: R_Recombination + Flux pairs: CH(9), CH2(S)(13); H(4), CH2(S)(13); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O in family R_Recombination. +- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 + rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} + note: | + Reaction index: Chemkin #205; RMG #207 + Template reaction: R_Recombination + Flux pairs: HCCO(23), CH2CO(25); H(4), CH2CO(25); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R in family R_Recombination. +- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 + rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #206; RMG #209 + Template reaction: R_Recombination + Flux pairs: OH(5), HCCOH(30); C2H(21), HCCOH(30); + Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R in family R_Recombination. +- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 + rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} + note: | + Reaction index: Chemkin #207; RMG #210 + Template reaction: R_Recombination + Flux pairs: H(4), HCCOH(30); HCCO(23), HCCOH(30); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O in family R_Recombination. +- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 + rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} + note: | + Reaction index: Chemkin #208; RMG #214 + Template reaction: R_Recombination + Flux pairs: HCO(12), CH3CHO(32); CH3(14), CH3CHO(32); + Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training + This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O] + family: R_Recombination +- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 + rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} + note: | + Reaction index: Chemkin #209; RMG #215 + Template reaction: R_Recombination + Flux pairs: CH2CHO(31), CH3CHO(32); H(4), CH3CHO(32); + Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN in family R_Recombination. +- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 + rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} + note: | + Reaction index: Chemkin #210; RMG #258 + Template reaction: R_Recombination + Flux pairs: CH(9), C2H2(22); CH(9), C2H2(22); + Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing in family R_Recombination. From 72a2bda2d43df611cd77697cbb54de220f47bddc Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 22:03:36 -0400 Subject: [PATCH 485/700] mainTest creates Cantera yaml files for testing. Now copies both cantera1 and cantera2 files across. Not a great workflow, but can clean it up later. --- test/rmgpy/rmg/mainTest.py | 61 ++++++++++++++------------ test/rmgpy/test_data/mainTest/input.py | 1 + 2 files changed, 34 insertions(+), 28 deletions(-) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index 3b8c2768699..d7ae5ae64c5 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -190,9 +190,9 @@ def test_make_cantera_input_file_from_ck(self): except: assert False, "The output Cantera file is not loadable in Cantera." - def test_make_cantera_input_file_directly(self): + def test_make_cantera_input_file_directly_1(self): """ - This tests to ensure that a usable Cantera input file is created via direct yaml writer. + This tests to ensure that a usable Cantera input file is created via direct yaml writer 1. """ import cantera as ct @@ -205,42 +205,47 @@ def test_make_cantera_input_file_directly(self): except: assert False, "The output Cantera file is not loadable in Cantera." + def test_make_cantera_input_file_directly_2(self): + """ + This tests to ensure that a usable Cantera input file is created via direct yaml writer 2. + """ + import cantera as ct + + cantera_files = os.path.join(self.rmg.output_directory, "cantera2") + files = os.listdir(cantera_files) + for f in files: + if ".yaml" in f: + try: + ct.Solution(os.path.join(cantera_files, f)) + except: + assert False, "The output Cantera file is not loadable in Cantera." + def test_cantera_input_files_match_chemkin_later(self): """ Copy the Cantera YAML files (generated directly by RMG and converted from Chemkin) to the test data directory so that yaml_cantera1Test can compare them. """ - # Find the RMG-generated cantera yaml file (named chem{N}.yaml) + # Copy RMG-generated YAML 1 to test data directory cantera_dir = os.path.join(self.rmg.output_directory, "cantera1") - cantera_from_ck_dir = os.path.join( - self.rmg.output_directory, "cantera_from_ck" - ) - - # Get the yaml files generated directly by RMG - cantera_files = [ - f for f in os.listdir(cantera_dir) if f.endswith('.yaml') - ] - assert len(cantera_files) > 0, \ - "No Cantera YAML files found in cantera1 directory" - # Sort by the number in the filename to get the final mechanism - cantera_files.sort( - key=lambda x: int(''.join(filter(str.isdigit, x)) or 0), - reverse=True - ) - rmg_yaml_file = cantera_files[0] - rmg_yaml_path = os.path.join(cantera_dir, rmg_yaml_file) - - # Copy RMG-generated YAML to test data directory + rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml') + assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found" test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera1', 'from_main_test.yaml') shutil.copy(rmg_yaml_path, test_data_cantera_target) - # Get the yaml file converted from chemkin - ck_yaml_file = "chem.yaml" - ck_yaml_path = os.path.join(cantera_from_ck_dir, ck_yaml_file) - assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_file} not found" - + # Copy RMG-generated YAML 2 to test data directory + cantera_dir = os.path.join(self.rmg.output_directory, "cantera2") + rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml') + assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found" + test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera2', 'from_main_test.yaml') + shutil.copy(rmg_yaml_path, test_data_cantera_target) + # Copy chemkin-converted YAML to test data directory - test_data_chemkin_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'chemkin', 'from_main_test.yaml') + cantera_from_ck_dir = os.path.join( + self.rmg.output_directory, "cantera_from_ck" + ) + ck_yaml_path = os.path.join(cantera_from_ck_dir, "chem_annotated.yaml") + assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_path} not found" + test_data_chemkin_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'ck2yaml', 'from_main_test.yaml') shutil.copy(ck_yaml_path, test_data_chemkin_target) diff --git a/test/rmgpy/test_data/mainTest/input.py b/test/rmgpy/test_data/mainTest/input.py index 42b34c0f739..6b118b4ceb8 100644 --- a/test/rmgpy/test_data/mainTest/input.py +++ b/test/rmgpy/test_data/mainTest/input.py @@ -77,6 +77,7 @@ generateOutputHTML=False, generatePlots=False, saveEdgeSpecies=False, + verboseComments=True, saveSimulationProfiles=False, ) From bb4b2ab77860a8524966db3e3afa59d8344448b1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 12:03:22 -0400 Subject: [PATCH 486/700] Add WriterConfig: per-writer output configuration data class Previously every output writer (Chemkin, RMS YAML, Cantera YAML, HTML) shared global flags: verboseComments and saveEdgeSpecies from options(). There was no way to control how often each writer ran, and no way to give one writer different verbose/edge settings than another. WriterConfig is the data class that will hold this per-writer state: - save_interval: positive N = every N iterations; -1 = end-of-run only; 0 = disabled - verbose_comments: per-writer override (None = fall back to global) - save_edge: per-writer override (None = fall back to global) - should_write(): encapsulates the scheduling logic, including a _last_write guard that prevents double-writing when the end-of-run final save fires at the same iteration_num as the last loop save. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/settings.py | 42 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) diff --git a/rmgpy/rmg/settings.py b/rmgpy/rmg/settings.py index b4a7bd52e0b..efe4ca8625a 100644 --- a/rmgpy/rmg/settings.py +++ b/rmgpy/rmg/settings.py @@ -139,3 +139,45 @@ def __init__(self, atol=1e-16, rtol=1e-8, sens_atol=1e-6, sens_rtol=1e-4): self.rtol = rtol self.sens_atol = sens_atol self.sens_rtol = sens_rtol + + +class WriterConfig: + """ + Configuration for a single output-format writer. + + Attributes + ---------- + save_interval : int + How often to write output. Positive N = every N iterations (0-indexed + iteration numbers, so iteration 0 is always included). -1 = end of run + only. 0 = disabled entirely. + verbose_comments : bool or None + Per-writer override for verbose comments. None means fall back to the + global ``rmg.verbose_comments``. + save_edge : bool or None + Per-writer override for saving edge species. None means fall back to + the global ``rmg.save_edge_species``. + """ + + def __init__(self, save_interval=1, verbose_comments=None, save_edge=None): + self.save_interval = save_interval + self.verbose_comments = verbose_comments + self.save_edge = save_edge + self._last_write = -1 + + @property + def enabled(self): + return self.save_interval != 0 + + def should_write(self, iteration_num, is_final): + """Return True if the writer should produce output right now.""" + if not self.enabled: + return False + if self.save_interval == -1: + return is_final + if is_final: + return self._last_write != iteration_num + result = (iteration_num % self.save_interval == 0) + if result: + self._last_write = iteration_num + return result From a1ee9fbf98d84ddcc2244b8f87be6a1d16677a19 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 22:15:44 -0400 Subject: [PATCH 487/700] Replaced cantera1 yaml test file with the verbose annotated one --- .../cantera1/from_main_test.yaml | 356 ++++++++++++++++-- 1 file changed, 317 insertions(+), 39 deletions(-) diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml index 13ae58ebf70..58ec229ab9d 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml @@ -1,5 +1,5 @@ -generator: "RMG-Py CanteraWriter1 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 36d0039)" -date: Sun, 03 May 2026 13:45:37 +generator: "RMG-Py CanteraWriter1 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 1568184)" +date: Sun, 03 May 2026 22:13:40 units: {length: m, time: s, quantity: kmol, activation-energy: J/kmol} @@ -37,8 +37,9 @@ species: 2.28639998353842e-11, -11620.34135275107, 5.210297172176226] - [4.589795312018622, 0.014150836627966965, -4.7596579825052244e-06, 8.603029496983977e-10, -6.217238823881424e-14, -12721.75068161533, -3.6171891868496764] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5} + rotational-relaxation: 1.5, note: GRI-Mech} - name: O(2) composition: {O: 1.0} thermo: @@ -50,7 +51,9 @@ species: -1.081468248287365e-24, 29230.244128550923, 5.12616427269486] - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, -3.1045794407491553e-23, 29230.244133471373, 5.126164313272914] - transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: H2(3) composition: {H: 2.0} thermo: @@ -62,8 +65,9 @@ species: -7.76035238245164e-14, -1031.3598354840772, -3.9084169952050014] - [2.7881746899044373, 0.0005876294327569003, 1.5901580485407815e-07, -5.527498406457646e-11, 4.343188667565404e-15, -596.1494960879099, 0.11268014479418695] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, - polarizability: 0.7900000000000005, rotational-relaxation: 280.0} + polarizability: 0.7900000000000005, rotational-relaxation: 280.0, note: GRI-Mech} - name: H(4) composition: {H: 1.0} thermo: @@ -75,7 +79,9 @@ species: -1.081468248287365e-24, 25474.21776872916, -0.4449728963280224] - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, -3.1045794407491553e-23, 25474.217773649605, -0.444972855749969] - transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215, + note: GRI-Mech} - name: OH(5) composition: {H: 1.0, O: 1.0} thermo: @@ -87,7 +93,9 @@ species: -3.859453686345065e-13, 3414.2541976175758, 2.104348876239043] - [3.0719398919454433, 0.0006040155603844118, -1.3978216817494781e-08, -2.1344627096837766e-11, 2.480657980220244e-15, 3579.386728674486, 4.577999618270958] - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: HO2(6) composition: {H: 1.0, O: 2.0} thermo: @@ -99,8 +107,9 @@ species: 3.3491349668804084e-12, -986.754316874425, 4.6358069149070324] - [3.2102333691731144, 0.0036794289568842686, -1.2770210213031316e-06, 2.180465263628796e-10, -1.463389951108199e-14, -910.3663758168628, 8.182947949802738] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 1.0} + rotational-relaxation: 1.0, note: GRI-Mech} - name: O2(7) composition: {O: 2.0} thermo: @@ -112,8 +121,9 @@ species: 1.4584747893316288e-12, -1038.5885150253216, 4.683679586164618] - [3.1538173541160557, 0.0016780494172578125, -7.69977463345062e-07, 1.5127621307497415e-10, -1.0878302972154481e-14, -1040.815775508589, 6.1675778705421145] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - polarizability: 1.6000000000000008, rotational-relaxation: 3.8} + polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} - name: H2O2(8) composition: {H: 2.0, O: 2.0} thermo: @@ -125,8 +135,9 @@ species: 6.416107043520503e-12, -17721.171163869974, 5.459079107803863] - [5.415764982526016, 0.002610120173918772, -4.3991489926460024e-07, 4.911425476518949e-11, -3.352347640995115e-15, -18302.943400742348, -4.022358081202631] + note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 3.8} + rotational-relaxation: 3.8, note: GRI-Mech} - name: CH(9) composition: {C: 1.0, H: 1.0} thermo: @@ -138,7 +149,9 @@ species: -4.570592635290404e-12, 75083.85536332303, 1.6126948258692664] - [2.3397315833288777, 0.0017585822652602947, -8.029170644997589e-07, 1.4045749082137327e-10, -8.474970838349845e-15, 75650.75149764838, 11.32545135377962] - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129} + note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' + transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, + note: GRI-Mech} - name: CO(10) composition: {C: 1.0, O: 1.0} thermo: @@ -150,8 +163,9 @@ species: 3.135967411946522e-13, -14284.254949016655, 3.579121029658425] - [2.913058334465055, 0.0016465903493515035, -6.886211322091902e-07, 1.2103870467221813e-10, -7.840283442517857e-15, -14180.880154113569, 6.710506180052189] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 3.6500000000000004, well-depth: 98.10027624123336, - polarizability: 1.9500000000000008, rotational-relaxation: 1.8} + polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} - name: CH2(11) composition: {C: 1.0, H: 2.0} thermo: @@ -163,7 +177,9 @@ species: 5.694965417963233e-13, 45867.680221696675, 0.5332006293939462] - [3.1498337193348007, 0.0029667428526204092, -9.760559992782986e-07, 1.5411531705304938e-10, -9.503384326736568e-15, 46058.139092219215, 4.7780774856041885] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: HCO(12) composition: {C: 1.0, H: 1.0, O: 1.0} thermo: @@ -175,7 +191,9 @@ species: 2.278910275533282e-12, 3995.7703823171323, 2.7511152173315896] - [4.618552189478943, 0.005044727567949883, -4.392490375225836e-06, 9.733000206186813e-10, -7.074497320360272e-14, 2787.5657280626556, -2.2289265396150277] - transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607} + note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' + transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, + note: GRI-Mech} - name: CH2(S)(13) composition: {C: 1.0, H: 2.0} thermo: @@ -187,7 +205,9 @@ species: 7.561975727674366e-13, 50400.578468202875, -0.411767744752251] - [2.626461951839261, 0.003947647061872542, -1.499250600733676e-06, 2.545411695073568e-10, -1.6295740679010454e-14, 50691.75925170181, 6.783860566624157] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: CH3(14) composition: {C: 1.0, H: 3.0} thermo: @@ -199,7 +219,9 @@ species: 8.499669695415019e-13, 16285.63932910768, 0.3517380395131654] - [3.5414438177641827, 0.0047678891393774115, -1.8214953036507109e-06, 3.2887903936663636e-10, -2.2254753367320316e-14, 16223.964546647976, 1.6604283078795798] - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698} + note: 'Thermo library: primaryThermoLibrary + radical(CH3)' + transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, + note: GRI-Mech} - name: CH2O(15) composition: {C: 1.0, H: 2.0, O: 1.0} thermo: @@ -211,8 +233,9 @@ species: 4.318158267459416e-12, -14278.956505443542, 2.3924226447408348] - [3.179936326492375, 0.00955601269235614, -6.273028454801088e-06, 1.3355481910102911e-09, -9.684126206021399e-14, -15075.21914563935, 4.31085170341811] + note: 'Thermo group additivity estimation: group(Cds-OdHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, - rotational-relaxation: 2.0} + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH4(16) composition: {C: 1.0, H: 4.0} thermo: @@ -224,8 +247,9 @@ species: 5.97520127499108e-12, -10161.943218560951, -0.9212721095036059] - [0.9082771923874331, 0.011454066909071433, -4.571727616998398e-06, 8.29189195152023e-10, -5.6631286728402924e-14, -9719.979461834091, 13.993029451960226] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 3.746000000000001, well-depth: 141.400440100105, - polarizability: 2.600000000000002, rotational-relaxation: 13.0} + polarizability: 2.600000000000002, rotational-relaxation: 13.0, note: GRI-Mech} - name: CO2(17) composition: {C: 1.0, O: 2.0} thermo: @@ -237,8 +261,10 @@ species: 4.14288279908879e-12, -48470.31456638012, 5.979355663789081] - [4.546085505272925, 0.0029191505308481846, -1.1548474402701926e-06, 2.276560890459939e-10, -1.7091195474740168e-14, -48980.355193356234, -1.432689313852118] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + + group(Cdd-OdOd)' transport: {model: gas, geometry: linear, diameter: 3.763, well-depth: 244.00106224424113, - polarizability: 2.650000000000001, rotational-relaxation: 2.1} + polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} - name: CH2OH(18) composition: {C: 1.0, H: 3.0, O: 1.0} thermo: @@ -250,8 +276,10 @@ species: 1.2487821239782904e-11, -4007.4595420199803, 7.291993676284961] - [6.0562988011935595, 0.0030217384679415552, 1.720948400698776e-08, -6.962736851576313e-11, 5.182164230170264e-15, -4890.505525515445, -6.3476542841121555] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(CsJOH)' transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0} + dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3O(19) composition: {C: 1.0, H: 3.0, O: 1.0} thermo: @@ -263,8 +291,10 @@ species: 1.3570917933379284e-11, -6.152570493302685, 6.813714035946757] - [4.016223845036489, 0.006268132072155586, -1.5806804808679084e-06, 2.44606571076615e-10, -1.7033720648694282e-14, -449.8054684774207, 4.338796349824254] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + + radical(H3COJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0} + dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3OH(20) composition: {C: 1.0, H: 4.0, O: 1.0} thermo: @@ -276,8 +306,9 @@ species: 1.0083470134889905e-11, -26335.85476940014, 6.364759206338717] - [3.138078300120791, 0.010354206425018032, -3.569573213259954e-06, 6.2228670380635e-10, -4.2780556797788775e-14, -26551.895613135097, 8.087777938366735] + note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.626000000000001, well-depth: 481.802091582003, - rotational-relaxation: 1.0} + rotational-relaxation: 1.0, note: GRI-Mech} - name: C2H(21) composition: {C: 2.0, H: 1.0} thermo: @@ -289,8 +320,9 @@ species: -5.41594365314797e-12, 66398.01413786084, 5.966763865161724] - [4.008476679662765, 0.002068132533447794, 6.051403922076703e-08, -1.1771143178546624e-10, 1.292843103778667e-14, 66529.51239223393, 2.796431735903967] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5} + rotational-relaxation: 2.5, note: GRI-Mech} - name: C2H2(22) composition: {C: 2.0, H: 2.0} thermo: @@ -302,8 +334,9 @@ species: 5.50793884017531e-12, 25852.6438513772, 4.544573545031331] - [5.7620170200918155, 0.002371637509595834, -1.4961216335698123e-07, -2.1908364280616377e-11, 2.21719408295192e-15, 25094.4612801627, -9.825927939150352] + note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5} + rotational-relaxation: 2.5, note: GRI-Mech} - name: HCCO(23) composition: {C: 2.0, H: 1.0, O: 1.0} thermo: @@ -315,8 +348,10 @@ species: 8.644788930195111e-13, 22595.688064401904, 7.094966296818602] - [5.9981069864241885, 0.003144794134936119, -9.578007435439627e-07, 1.5562106735769888e-10, -1.0430827416714007e-14, 21969.463783317686, -5.802371777239033] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d) + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, diameter: 2.5000000000000013, well-depth: 150.00110650441783, - rotational-relaxation: 1.0} + rotational-relaxation: 1.0, note: GRI-Mech} - name: C2H3(24) composition: {C: 2.0, H: 3.0} thermo: @@ -328,8 +363,10 @@ species: 1.7288184850765833e-11, 34797.18098324665, 6.098116827390869] - [5.448161345038558, 0.004983220634586766, -1.088008027091821e-06, 1.7978956968030537e-10, -1.4505633804539655e-14, 33829.69476393835, -4.879180043982607] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 1.0} + rotational-relaxation: 1.0, note: GRI-Mech} - name: CH2CO(25) composition: {C: 2.0, H: 2.0, O: 1.0} thermo: @@ -341,8 +378,10 @@ species: 6.7119937845095964e-12, -7123.942950136391, 5.743686833486504] - [5.764843860393455, 0.005965775843435247, -1.984972026524795e-06, 3.527701091332367e-10, -2.5164077388183256e-14, -7928.956600867915, -6.9211732597275475] + note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + + missing(Cdd-CdO2d)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0} + rotational-relaxation: 2.0, note: GRI-Mech} - name: C2H4(26) composition: {C: 2.0, H: 4.0} thermo: @@ -354,8 +393,9 @@ species: 2.3177190400951143e-11, 5077.460147499724, 4.0461684201547214] - [5.202940933280232, 0.007824516477330179, -2.1268877513906106e-06, 3.7970335544514704e-10, -2.946814128701208e-14, 3936.3029880366635, -6.623812180250903] + note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, - rotational-relaxation: 1.5} + rotational-relaxation: 1.5, note: GRI-Mech} - name: C2H5(27) composition: {C: 2.0, H: 5.0} thermo: @@ -367,8 +407,10 @@ species: 2.3707360339402987e-11, 13066.01287427912, 7.616431110400184] - [5.156207199872521, 0.009431228225167086, -1.8194614628685796e-06, 2.2119612633683184e-10, -1.4348159485107404e-14, 12064.083237107747, -2.9109776507588903] + note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + + radical(CCJ)' transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5} + rotational-relaxation: 1.5, note: GRI-Mech} - name: H2O(28) composition: {H: 2.0, O: 1.0} thermo: @@ -380,8 +422,9 @@ species: 2.128490170160392e-13, -30281.5866521907, -0.31136534685788253] - [2.8432480470655004, 0.002751089366900853, -7.8103367121036e-07, 1.0724414332729549e-10, -5.793963421285384e-15, -29958.611693452458, 5.910433578723651] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, - dipole: 1.8439999999999999, rotational-relaxation: 4.0} + dipole: 1.8439999999999999, rotational-relaxation: 4.0, note: GRI-Mech} - name: C(29) composition: {C: 1.0} thermo: @@ -393,7 +436,9 @@ species: -1.081468248287365e-24, 85474.52470343288, 3.659784206708707] - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, -3.1045794407491553e-23, 85474.52470835333, 3.6597842472867588] - transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509, + note: GRI-Mech} - name: HCCOH(30) composition: {C: 2.0, H: 2.0, O: 1.0} thermo: @@ -405,8 +450,9 @@ species: 2.663225471130415e-12, 8782.035416515859, 7.197168970728035] - [6.7124551454507815, 0.005148330500649028, -2.0007834627740915e-06, 3.788190799793496e-10, -2.7409124748516927e-14, 7780.23551660169, -10.831376654084673] + note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0} + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH2CHO(31) composition: {C: 2.0, H: 3.0, O: 1.0} thermo: @@ -418,8 +464,10 @@ species: 3.240708687065647e-11, -2992.8440212693995, 8.9731019330448] - [11.726154554803275, -0.001473691800042265, 2.907484426602473e-06, -5.970162857550277e-10, 3.7029752558219025e-14, -5941.538943574109, -38.44712632255116] + note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + + group(Cds-CdsHH) + radical(C=COJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0} + rotational-relaxation: 2.0, note: GRI-Mech} - name: CH3CHO(32) composition: {C: 2.0, H: 4.0, O: 1.0} thermo: @@ -431,8 +479,9 @@ species: 1.588568911984255e-11, -21380.907966251474, 9.13565622207468] - [4.588928731919886, 0.01288931344454544, -4.914985254816196e-06, 9.265000639719394e-10, -6.710044287886815e-14, -22336.02926281222, 0.9008805816430335] + note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0} + rotational-relaxation: 2.0, note: GRI-Mech} - name: C3H8(33) composition: {C: 3.0, H: 8.0} thermo: @@ -444,8 +493,10 @@ species: 1.8706492840834734e-11, -14454.176775999556, 10.067246001067637] - [5.91316392026703, 0.021876253744009963, -8.176607701325125e-06, 1.4985452522965277e-09, -1.0599135379428694e-13, -16038.878659602295, -8.865558390351929] + note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, - rotational-relaxation: 1.0} + rotational-relaxation: 1.0, note: GRI-Mech} - name: N2 composition: {N: 2.0} thermo: @@ -455,8 +506,9 @@ species: data: - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] + note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 3.6210000000000013, well-depth: 97.53030619382686, - polarizability: 1.7600000000000011, rotational-relaxation: 4.0} + polarizability: 1.7600000000000011, rotational-relaxation: 4.0, note: GRI-Mech} - name: Ar composition: {Ar: 1.0} thermo: @@ -466,7 +518,9 @@ species: data: - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677, + note: GRI-Mech} - name: He composition: {He: 1.0} thermo: @@ -476,7 +530,9 @@ species: data: - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2, + note: NOx2018} - name: Ne composition: {Ne: 1.0} thermo: @@ -486,398 +542,580 @@ species: data: - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6} + note: 'Thermo library: primaryThermoLibrary' + transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6, + note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the + fallback method! Try improving transport databases!} reactions: - equation: H2(3) + O(2) <=> H(4) + OH(5) rate-constant: {A: 38.7, b: 2.7, Ea: 26191840.0} + note: 'Library reaction: GRI-Mech3.0' - equation: HO2(6) + O(2) <=> O2(7) + OH(5) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) rate-constant: {A: 9630.0, b: 2.0, Ea: 16736000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + O(2) <=> CO(10) + H(4) rate-constant: {A: 57000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + O(2) <=> H(4) + HCO(12) rate-constant: {A: 80000000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + O(2) <=> CH2O(15) + H(4) rate-constant: {A: 50600000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH4(16) + O(2) <=> CH3(14) + OH(5) rate-constant: {A: 1020000.0000000001, b: 1.5, Ea: 35982400.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: HCO(12) + O(2) <=> CO(10) + OH(5) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: HCO(12) + O(2) <=> CO2(17) + H(4) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) rate-constant: {A: 39000000000.00001, b: 0.0, Ea: 14811360.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) rate-constant: {A: 388.00000000000006, b: 2.5, Ea: 12970400.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) rate-constant: {A: 130.00000000000003, b: 2.5, Ea: 20920000.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H(21) + O(2) <=> CH(9) + CO(10) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) rate-constant: {A: 13500.000000000002, b: 2.0, Ea: 7949600.000000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) rate-constant: {A: 4.600000000000001e+16, b: -1.41, Ea: 121126800.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) rate-constant: {A: 6940.000000000001, b: 2.0, Ea: 7949600.000000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) rate-constant: {A: 12500.000000000002, b: 1.83, Ea: 920480.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) rate-constant: {A: 22400000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) rate-constant: {A: 89800.00000000001, b: 1.92, Ea: 23806960.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 33472000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) rate-constant: {A: 1750000000.0000002, b: 0.0, Ea: 5648400.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CO(10) + O2(7) <=> CO2(17) + O(2) rate-constant: {A: 2500000000.0000005, b: 0.0, Ea: 199995200.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + 2 O2(7) + O2(7) <=> HO2(6) + O2(7) + O2(7) rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} efficiencies: {O2(7): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + H2O(28) + O2(7) + H2O(28) <=> H2O(28) + HO2(6) + H2O(28) rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} efficiencies: {H2O(28): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + O2(7) <=> O(2) + OH(5) rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 H(4) + H2(3) + H2(3) <=> 2 H2(3) + H2(3) rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} efficiencies: {H2(3): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 H(4) + H2O(28) + H2O(28) <=> H2(3) + H2O(28) + H2O(28) rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} efficiencies: {H2O(28): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CO2(17) + 2 H(4) + CO2(17) <=> CO2(17) + H2(3) + CO2(17) rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} efficiencies: {CO2(17): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HO2(6) <=> H2O(28) + O(2) rate-constant: {A: 3970000000.0000005, b: 0.0, Ea: 2807464.0000000005} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HO2(6) <=> H2(3) + O2(7) rate-constant: {A: 44800000000.00001, b: 0.0, Ea: 4468512.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HO2(6) <=> 2 OH(5) rate-constant: {A: 84000000000.00002, b: 0.0, Ea: 2656840.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) rate-constant: {A: 12100.000000000002, b: 2.0, Ea: 21756800.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 15062400.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + H(4) <=> C(29) + H2(3) rate-constant: {A: 165000000000.00003, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH4(16) + H(4) <=> CH3(14) + H2(3) rate-constant: {A: 660000.0000000001, b: 1.62, Ea: 45354560.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HCO(12) <=> CO(10) + H2(3) rate-constant: {A: 73400000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) rate-constant: {A: 57400.000000000015, b: 1.9, Ea: 11472528.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) rate-constant: {A: 165000000.00000003, b: 0.65, Ea: -1188256.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) + H(4) <=> CH2OH(18) + H(4) + H(4) rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} efficiencies: {H(4): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) rate-constant: {A: 1500000000.0000002, b: 0.5, Ea: -460240.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) rate-constant: {A: 262000000000.00003, b: -0.23, Ea: 4476880.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) rate-constant: {A: 17000.000000000004, b: 2.1, Ea: 20376080.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) rate-constant: {A: 4200.000000000001, b: 2.1, Ea: 20376080.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) rate-constant: {A: 1325.0000000000002, b: 2.53, Ea: 51212160.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) rate-constant: {A: 115000.00000000001, b: 1.9, Ea: 31505520.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 33472000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HCCOH(30) + H(4) <=> CH2CO(25) + H(4) + H(4) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} efficiencies: {H(4): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H2(3) + OH(5) <=> H(4) + H2O(28) rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 OH(5) <=> H2O(28) + O(2) rate-constant: {A: 35.7, b: 2.4, Ea: -8828240.0} + note: 'Library reaction: GRI-Mech3.0' - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) rate-constant: {A: 14500000000.000002, b: 0.0, Ea: -2092000.0} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 72508720.00000001} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 1786568.0} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) rate-constant: {A: 1700000000000000.2, b: 0.0, Ea: 123051440.00000001} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: C(29) + OH(5) <=> CO(10) + H(4) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + OH(5) <=> H(4) + HCO(12) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) rate-constant: {A: 11300.000000000002, b: 2.0, Ea: 12552000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) rate-constant: {A: 56000.00000000001, b: 1.6, Ea: 22677280.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) rate-constant: {A: 644000000000000.1, b: -1.34, Ea: 5928728.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) rate-constant: {A: 100000.00000000001, b: 1.6, Ea: 13054080.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CO(10) + OH(5) <=> CO2(17) + H(4) rate-constant: {A: 47600.00000000001, b: 1.228, Ea: 292880.0} + note: 'Library reaction: GRI-Mech3.0' - equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) rate-constant: {A: 3430000.0000000005, b: 1.18, Ea: -1870248.0000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) rate-constant: {A: 1440.0000000000002, b: 2.0, Ea: -3514560.0000000005} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) rate-constant: {A: 6300.000000000001, b: 2.0, Ea: 6276000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) rate-constant: {A: 2.1800000000000005e-07, b: 4.5, Ea: -4184000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) rate-constant: {A: 504.0000000000001, b: 2.3, Ea: 56484000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) rate-constant: {A: 33700.0, b: 2.0, Ea: 58576000.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) rate-constant: {A: 4.830000000000001e-07, b: 4.0, Ea: -8368000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) rate-constant: {A: 3600.0000000000005, b: 2.0, Ea: 10460000.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) rate-constant: {A: 3540.0000000000005, b: 2.12, Ea: 3640080.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) rate-constant: {A: 7500000000.000001, b: 0.0, Ea: 8368000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 HO2(6) <=> H2O2(8) + O2(7) rate-constant: {A: 130000000.00000001, b: 0.0, Ea: -6819920.000000001} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: 2 HO2(6) <=> H2O2(8) + O2(7) rate-constant: {A: 420000000000.00006, b: 0.0, Ea: 50208000.0} duplicate: true + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) rate-constant: {A: 1000000000.0000001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) rate-constant: {A: 37800000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 98742400.00000003} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) rate-constant: {A: 5600.000000000001, b: 2.0, Ea: 50208000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C(29) + O2(7) <=> CO(10) + O(2) rate-constant: {A: 58000000000.00001, b: 0.0, Ea: 2409984.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C(29) + CH2(11) <=> C2H(21) + H(4) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C(29) + CH3(14) <=> C2H2(22) + H(4) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + O2(7) <=> HCO(12) + O(2) rate-constant: {A: 67100000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + H2(3) <=> CH2(11) + H(4) rate-constant: {A: 108000000000.00002, b: 0.0, Ea: 13012240.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) rate-constant: {A: 5710000000.000001, b: 0.0, Ea: -3158920.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) rate-constant: {A: 60000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) rate-constant: {A: 190000000000.00003, b: 0.0, Ea: 66073728.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) rate-constant: {A: 94600000000.00002, b: 0.0, Ea: -2154760.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 6276000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + H2(3) <=> CH3(14) + H(4) rate-constant: {A: 500.0000000000001, b: 2.0, Ea: 30250320.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 CH2(11) <=> C2H2(22) + H2(3) rate-constant: {A: 1600000000000.0002, b: 0.0, Ea: 49973696.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + CH4(16) <=> 2 CH3(14) rate-constant: {A: 2460.0000000000005, b: 2.0, Ea: 34601680.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) rate-constant: {A: 28000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + H2O(28) + H2O(28) <=> CH2(11) + H2O(28) + H2O(28) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} efficiencies: {H2O(28): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CO(10) + CO(10) <=> CH2(11) + CO(10) + CO(10) rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} efficiencies: {CO(10): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CO2(17) + CO2(17) <=> CH2(11) + CO2(17) + CO2(17) rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} efficiencies: {CO2(17): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) rate-constant: {A: 40000000000.00001, b: 0.0, Ea: -2301200.0000000005} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) rate-constant: {A: 35600000000.00001, b: 0.0, Ea: 127528320.00000001} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) rate-constant: {A: 2310000000.0000005, b: 0.0, Ea: 84997960.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) rate-constant: {A: 24.500000000000004, b: 2.47, Ea: 21673120.000000004} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 CH3(14) <=> C2H5(27) + H(4) rate-constant: {A: 6840000000.000001, b: 0.1, Ea: 44350400.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) rate-constant: {A: 26480000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) rate-constant: {A: 3.3200000000000003, b: 2.81, Ea: 24518240.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) rate-constant: {A: 30000.000000000004, b: 1.5, Ea: 41588960.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) rate-constant: {A: 10000.000000000002, b: 1.5, Ea: 41588960.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) rate-constant: {A: 227.00000000000003, b: 2.0, Ea: 38492800.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} + note: 'Library reaction: GRI-Mech3.0' - equation: H2O(28) + HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) + H2O(28) rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} efficiencies: {H2O(28): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) rate-constant: {A: 13450000000.000002, b: 0.0, Ea: 1673600.0000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 3765600.000000001} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) rate-constant: {A: 4.2800000000000005e-16, b: 7.6, Ea: -14769520.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: -3158920.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) rate-constant: {A: 56800000.00000001, b: 0.9, Ea: 8338712.000000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) rate-constant: {A: 45800000000000.01, b: -1.39, Ea: 4246760.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) rate-constant: {A: 840000000.0000001, b: 0.0, Ea: 16213000.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) rate-constant: {A: 3200000000.0000005, b: 0.0, Ea: 3573136.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) rate-constant: {A: 33700000000.000008, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) rate-constant: {A: 6700.000000000001, b: 1.83, Ea: 920480.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) rate-constant: {A: 109600000000.00002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + OH(5) => CH2O(15) + H2(3) rate-constant: {A: 8000000.000000001, b: 0.5, Ea: -7342920.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) rate-constant: {A: 5800000000.000001, b: 0.0, Ea: 6276000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) rate-constant: {A: 2400000000.0000005, b: 0.0, Ea: 6276000.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 CH2(11) => C2H2(22) + 2 H(4) rate-constant: {A: 200000000000.00003, b: 0.0, Ea: 45977976.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) rate-constant: {A: 68200000.00000001, b: 0.25, Ea: -3912040.0000000005} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) rate-constant: {A: 303000000.00000006, b: 0.29, Ea: 46024.00000000001} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) rate-constant: {A: 1337.0000000000002, b: 1.61, Ea: -1606656.0000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 163803600.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) rate-constant: {A: 23430000.000000004, b: 0.73, Ea: -4656792.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + CH3CHO(32) + CH3(14) => CH3(14) + CH4(16) + CO(10) + CH3(14) rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} efficiencies: {CH3(14): 1.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) rate-constant: {A: 23500000.000000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) rate-constant: {A: 22000000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) rate-constant: {A: 11000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 O(2) + M <=> O2(7) + M rate-constant: {A: 120000000000.00002, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, Ar: 0.83} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + O(2) + M <=> OH(5) + M rate-constant: {A: 500000000000.0001, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + O2(7) + M <=> HO2(6) + M rate-constant: {A: 2800000000000.0005, b: -0.86, Ea: 0.0} efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, Ar: 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 H(4) + M <=> H2(3) + M rate-constant: {A: 1000000000000.0002, b: -1.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, Ar: 0.63} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + OH(5) + M <=> H2O(28) + M rate-constant: {A: 2.2000000000000004e+16, b: -2.0, Ea: 0.0} efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} + note: 'Library reaction: GRI-Mech3.0' - equation: HCO(12) + M <=> CO(10) + H(4) + M rate-constant: {A: 187000000000000.03, b: -1.0, Ea: 71128000.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) type: falloff low-P-rate-constant: {A: 602000000.0000001, b: 0.0, Ea: 12552000.0} high-P-rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 9978840.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, H2O(28): 6.0, Ar: 0.5} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) type: falloff low-P-rate-constant: {A: 1.0400000000000002e+20, b: -2.76, Ea: 6694400.000000001} @@ -885,6 +1123,7 @@ reactions: Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) type: falloff low-P-rate-constant: {A: 2.6200000000000006e+27, b: -4.76, Ea: 10208960.000000002} @@ -892,6 +1131,7 @@ reactions: Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) type: falloff low-P-rate-constant: {A: 2.4700000000000005e+18, b: -2.57, Ea: 1778200.0} @@ -899,30 +1139,35 @@ reactions: Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) type: falloff low-P-rate-constant: {A: 1.2700000000000002e+26, b: -4.82, Ea: 27321520.0} high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 15062400.000000004} Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) type: falloff low-P-rate-constant: {A: 2.2000000000000006e+24, b: -4.8, Ea: 23263040.0} high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 10878400.000000002} Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff low-P-rate-constant: {A: 4.360000000000001e+25, b: -4.65, Ea: 21254720.0} high-P-rate-constant: {A: 1055000000.0000002, b: 0.5, Ea: 359824.0} Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) type: falloff low-P-rate-constant: {A: 4.660000000000001e+35, b: -7.44, Ea: 58910720.0} high-P-rate-constant: {A: 2430000000.0000005, b: 0.515, Ea: 209200.00000000003} Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) type: falloff low-P-rate-constant: {A: 3.750000000000001e+27, b: -4.8, Ea: 7949600.000000001} @@ -930,6 +1175,7 @@ reactions: Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) type: falloff low-P-rate-constant: {A: 3.8000000000000006e+34, b: -7.27, Ea: 30208480.0} @@ -937,6 +1183,7 @@ reactions: Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) type: falloff low-P-rate-constant: {A: 1.4000000000000004e+24, b: -3.86, Ea: 13890880.000000004} @@ -944,6 +1191,7 @@ reactions: Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) type: falloff low-P-rate-constant: {A: 6.0000000000000005e+35, b: -7.62, Ea: 29162480.0} @@ -951,6 +1199,7 @@ reactions: Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) type: falloff low-P-rate-constant: {A: 1.9900000000000005e+35, b: -7.08, Ea: 27970040.0} @@ -958,6 +1207,7 @@ reactions: Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) type: falloff low-P-rate-constant: {A: 5.07e+21, b: -3.42, Ea: 352920400.0} @@ -965,6 +1215,7 @@ reactions: Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 OH(5) (+M) <=> H2O2(8) (+M) type: falloff low-P-rate-constant: {A: 2300000000000.0005, b: -0.9, Ea: -7112800.0} @@ -972,12 +1223,14 @@ reactions: Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) type: falloff low-P-rate-constant: {A: 4.000000000000001e+30, b: -5.92, Ea: 13137760.0} high-P-rate-constant: {A: 2790000000000000.5, b: -1.43, Ea: 5564720.0} Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) type: falloff low-P-rate-constant: {A: 2.6900000000000003e+22, b: -3.74, Ea: 8100224.000000001} @@ -985,6 +1238,7 @@ reactions: Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) type: falloff low-P-rate-constant: {A: 2.6900000000000006e+27, b: -5.11, Ea: 29685480.0} @@ -992,12 +1246,14 @@ reactions: Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) type: falloff low-P-rate-constant: {A: 1.88e+32, b: -6.36, Ea: 21087360.0} high-P-rate-constant: {A: 482000000000000.06, b: -1.16, Ea: 4790680.000000001} Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} + note: 'Library reaction: GRI-Mech3.0' - equation: 2 CH3(14) (+M) <=> ethane(1) (+M) type: falloff low-P-rate-constant: {A: 3.400000000000001e+35, b: -7.03, Ea: 11556208.000000002} @@ -1005,6 +1261,7 @@ reactions: Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) type: falloff low-P-rate-constant: {A: 1.5800000000000006e+48, b: -9.3, Ea: 409195200.0} @@ -1012,6 +1269,7 @@ reactions: Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) type: falloff low-P-rate-constant: {A: 4.820000000000001e+19, b: -2.8, Ea: 2468560.0000000005} @@ -1019,6 +1277,7 @@ reactions: Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) type: falloff low-P-rate-constant: {A: 1.0120000000000002e+36, b: -7.63, Ea: 16125136.000000002} @@ -1026,6 +1285,7 @@ reactions: Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) type: falloff low-P-rate-constant: {A: 2.7100000000000003e+68, b: -16.82, Ea: 54663960.00000001} @@ -1033,19 +1293,37 @@ reactions: Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, Ar: 0.7} + note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + HO2(6) <=> H2O2(8) rate-constant: {A: 5250690.0, b: 1.27262, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O + in family R_Recombination.' - equation: CH(9) + H(4) <=> CH2(S)(13) rate-constant: {A: 53700000000.0, b: 0.15395, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O + in family R_Recombination.' - equation: H(4) + HCCO(23) <=> CH2CO(25) rate-constant: {A: 11386000000.0, b: 0.308956, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R + in family R_Recombination.' - equation: C2H(21) + OH(5) <=> HCCOH(30) rate-constant: {A: 77000000000.0, b: 4.95181e-08, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R + in family R_Recombination.' - equation: H(4) + HCCO(23) <=> HCCOH(30) rate-constant: {A: 2805150000.0, b: 0.314888, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O + in family R_Recombination.' - equation: CH3(14) + HCO(12) <=> CH3CHO(32) rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} + note: 'Template reaction: R_Recombination | Matched reaction 71 CH3 + CHO <=> C2H4O + in R_Recombination/training; This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O]; + family: R_Recombination' - equation: CH2CHO(31) + H(4) <=> CH3CHO(32) rate-constant: {A: 78286700000.0, b: 0.0631113, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN + in family R_Recombination.' - equation: 2 CH(9) <=> C2H2(22) rate-constant: {A: 99813000.0, b: 0.610916, Ea: 0.0} + note: 'Template reaction: R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing + in family R_Recombination.' From fb0d161c2da7a5f94e17b8fa7d6b72fbef1a83f0 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 12:03:37 -0400 Subject: [PATCH 488/700] Parse per-writer configs from input files; store on RMG object New helpers in rmgpy/rmg/input.py: _parse_writer_config(value) -- converts True/False/dict to WriterConfig _writer_config_to_input(cfg) -- serializes WriterConfig back for restart input files The options() function gains four new keyword arguments: generateChemkin=True (default on, global verboseComments/saveEdge apply if not overridden per-writer) generateRMSYAML=True (default on) generateCanteraYAML1=False (default off -- writer is new/beta) generateCanteraYAML2=False (default off -- writer is new/beta) The existing generateOutputHTML already existed as a boolean; it now also accepts the dict form. Each argument accepts: False -> disabled True -> enabled, save every iteration {'saveInterval': N, -> full per-writer configuration 'verboseComments': True/False, 'saveEdge': True/False} The RMG class gains five new attributes (initialised in clear()): chemkin_writer_config, rms_writer_config, cantera1_writer_config, cantera2_writer_config, html_writer_config and: is_final_save -- flag set True during the end-of-run save_everything() call so writers can distinguish final from mid-run saves The save_input() serializer is updated to write the new options back into the restart input file (Cantera configs omitted when disabled so old-style files stay clean). Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/input.py | 79 ++++++++++++++++++++++++++++++++++++++++++---- rmgpy/rmg/main.py | 49 ++++++++++++++++++++++------ 2 files changed, 112 insertions(+), 16 deletions(-) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 887c0f9eab8..97399c0dd03 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -53,7 +53,7 @@ ConstantVIdealGasReactor, Reactor, ) -from rmgpy.rmg.settings import ModelSettings, SimulatorSettings +from rmgpy.rmg.settings import ModelSettings, SimulatorSettings, WriterConfig from rmgpy.solver.liquid import LiquidReactor from rmgpy.solver.mbSampled import MBSampledReactor from rmgpy.solver.simple import SimpleReactor @@ -1418,10 +1418,65 @@ def pressure_dependence( rmg.reaction_model.add_completed_pdep_network(formula) +def _parse_writer_config(value, default_save_interval=1): + """ + Parse an output-writer configuration value from an input file. + + Parameters + ---------- + value : bool or dict + ``False`` disables the writer. ``True`` enables it with + *default_save_interval*. A dict may contain the keys + ``'saveInterval'`` (int), ``'verboseComments'`` (bool), and + ``'saveEdge'`` (bool). + default_save_interval : int + Save interval to use when ``value`` is ``True``. + + Returns + ------- + WriterConfig + """ + if value is False: + return WriterConfig(save_interval=0) + if value is True: + return WriterConfig(save_interval=default_save_interval) + if isinstance(value, dict): + si = value.get('saveInterval', default_save_interval) + return WriterConfig( + save_interval=si, + verbose_comments=value.get('verboseComments', None), + save_edge=value.get('saveEdge', None), + ) + raise InputError( + f"Writer config must be True, False, or a dict with keys " + f"'saveInterval', 'verboseComments', 'saveEdge'; got {type(value).__name__!r}" + ) + + +def _writer_config_to_input(cfg): + """ + Serialize a WriterConfig back to a value suitable for writing into an + RMG input file (i.e. ``True``, ``False``, or a dict literal string). + """ + if cfg is None or not cfg.enabled: + return False + has_overrides = (cfg.verbose_comments is not None or cfg.save_edge is not None) + if cfg.save_interval == 1 and not has_overrides: + return True + parts = [f"'saveInterval': {cfg.save_interval}"] + if cfg.verbose_comments is not None: + parts.append(f"'verboseComments': {cfg.verbose_comments}") + if cfg.save_edge is not None: + parts.append(f"'saveEdge': {cfg.save_edge}") + return '{' + ', '.join(parts) + '}' + + def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=False, units='si', saveRestartPeriod=None, - generateOutputHTML=False, generatePlots=False, generatePESDiagrams=False, saveSimulationProfiles=False, verboseComments=False, - saveEdgeSpecies=False, keepIrreversible=False, trimolecularProductReversible=True, wallTime='00:00:00:00', - saveSeedModulus=-1): + generateOutputHTML=False, generatePlots=False, generatePESDiagrams=False, saveSimulationProfiles=False, + verboseComments=False, saveEdgeSpecies=False, keepIrreversible=False, + trimolecularProductReversible=True, wallTime='00:00:00:00', saveSeedModulus=-1, + generateChemkin=True, generateRMSYAML=True, + generateCanteraYAML1=False, generateCanteraYAML2=False): if saveRestartPeriod: logging.warning("`saveRestartPeriod` flag was set in the input file, but this feature has been removed. Please " "remove this line from the input file. This will throw an error after RMG-Py 3.1. For " @@ -1434,7 +1489,7 @@ def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=Fals rmg.units = units if generateOutputHTML: logging.warning('Generate Output HTML option was turned on. Note that this will slow down model generation.') - rmg.generate_output_html = generateOutputHTML + rmg.generate_output_html = bool(generateOutputHTML) rmg.generate_plots = generatePlots rmg.generate_PES_diagrams = generatePESDiagrams if generatePESDiagrams: @@ -1450,6 +1505,12 @@ def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=Fals rmg.walltime = wallTime rmg.save_seed_modulus = saveSeedModulus + rmg.chemkin_writer_config = _parse_writer_config(generateChemkin) + rmg.rms_writer_config = _parse_writer_config(generateRMSYAML) + rmg.cantera1_writer_config = _parse_writer_config(generateCanteraYAML1) + rmg.cantera2_writer_config = _parse_writer_config(generateCanteraYAML2) + rmg.html_writer_config = _parse_writer_config(generateOutputHTML) + def generated_species_constraints(**kwargs): valid_constraints = [ @@ -1937,7 +1998,7 @@ def formula(elements): # Options f.write('options(\n') f.write(' units = "{0}",\n'.format(rmg.units)) - f.write(' generateOutputHTML = {0},\n'.format(rmg.generate_output_html)) + f.write(' generateOutputHTML = {0},\n'.format(_writer_config_to_input(rmg.html_writer_config))) f.write(' generatePlots = {0},\n'.format(rmg.generate_plots)) f.write(' generatePESDiagrams = {0},\n'.format(rmg.generate_PES_diagrams)) f.write(' saveSimulationProfiles = {0},\n'.format(rmg.save_simulation_profiles)) @@ -1946,6 +2007,12 @@ def formula(elements): f.write(' trimolecularProductReversible = {0},\n'.format(rmg.trimolecular_product_reversible)) f.write(' verboseComments = {0},\n'.format(rmg.verbose_comments)) f.write(' wallTime = {0},\n'.format(rmg.walltime)) + f.write(' generateChemkin = {0},\n'.format(_writer_config_to_input(rmg.chemkin_writer_config))) + f.write(' generateRMSYAML = {0},\n'.format(_writer_config_to_input(rmg.rms_writer_config))) + if rmg.cantera1_writer_config and rmg.cantera1_writer_config.enabled: + f.write(' generateCanteraYAML1 = {0},\n'.format(_writer_config_to_input(rmg.cantera1_writer_config))) + if rmg.cantera2_writer_config and rmg.cantera2_writer_config.enabled: + f.write(' generateCanteraYAML2 = {0},\n'.format(_writer_config_to_input(rmg.cantera2_writer_config))) f.write(')\n\n') f.close() diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index c26303f72dd..f4340dd94c4 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -76,7 +76,7 @@ from rmgpy.rmg.output import OutputHTMLWriter from rmgpy.rmg.pdep import PDepNetwork from rmgpy.rmg.reactionmechanismsimulator_reactors import Reactor as RMSReactor -from rmgpy.rmg.settings import ModelSettings +from rmgpy.rmg.settings import ModelSettings, WriterConfig from rmgpy.solver.base import TerminationTime from rmgpy.stats import ExecutionStatsWriter from rmgpy.thermo.thermoengine import submit @@ -146,8 +146,14 @@ class RMG(util.Subject): `generate_output_html` ``True`` to draw pictures of the species and reactions, saving a visualized model in an output HTML file. ``False`` otherwise `generate_plots` ``True`` to generate plots of the job execution statistics after each iteration, ``False`` otherwise `generate_PES_diagrams` ``True`` to generate potential energy surface diagrams for pressure dependent networks in the model, ``False`` otherwise - `verbose_comments` ``True`` to keep the verbose comments for database estimates, ``False`` otherwise - `save_edge_species` ``True`` to save chemkin and HTML files of the edge species, ``False`` otherwise + `verbose_comments` ``True`` to keep the verbose comments for database estimates, ``False`` otherwise (global fallback when writer config does not override) + `save_edge_species` ``True`` to save chemkin and HTML files of the edge species, ``False`` otherwise (global fallback when writer config does not override) + `chemkin_writer_config` :class:`WriterConfig` controlling when the Chemkin writer runs and its per-writer options + `rms_writer_config` :class:`WriterConfig` controlling when the RMS YAML writer runs and its per-writer options + `cantera1_writer_config` :class:`WriterConfig` controlling when CanteraWriter1 runs and its per-writer options + `cantera2_writer_config` :class:`WriterConfig` controlling when CanteraWriter2 runs and its per-writer options + `html_writer_config` :class:`WriterConfig` controlling when the HTML writer runs and its per-writer options + `is_final_save` Set to ``True`` immediately before the end-of-run ``save_everything()`` call so writers know it is the final notification `keep_irreversible` ``True`` to keep ireversibility of library reactions as is ('<=>' or '=>'). ``False`` (default) to force all library reactions to be reversible ('<=>') `trimolecular_product_reversible` ``True`` (default) to allow families with trimolecular products to react in the reverse direction, ``False`` otherwise `pressure_dependence` Whether to process unimolecular (pressure-dependent) reaction networks @@ -231,6 +237,12 @@ def clear(self): self.save_simulation_profiles = None self.verbose_comments = None self.save_edge_species = None + self.chemkin_writer_config = None + self.rms_writer_config = None + self.cantera1_writer_config = None + self.cantera2_writer_config = None + self.html_writer_config = None + self.is_final_save = False self.keep_irreversible = None self.trimolecular_product_reversible = None self.pressure_dependence = None @@ -784,13 +796,22 @@ def register_listeners(self, requires_rms=False): found in the RMG input file. """ - self.attach(ChemkinWriter(self.output_directory)) - - self.attach(RMSWriter(self.output_directory)) - self.attach(CanteraWriter1(self.output_directory)) - self.attach(CanteraWriter2(self.output_directory)) - if self.generate_output_html: - self.attach(OutputHTMLWriter(self.output_directory)) + cfg_chemkin = self.chemkin_writer_config or WriterConfig(save_interval=1) + cfg_rms = self.rms_writer_config or WriterConfig(save_interval=1) + cfg_cantera1 = self.cantera1_writer_config or WriterConfig(save_interval=0) + cfg_cantera2 = self.cantera2_writer_config or WriterConfig(save_interval=0) + cfg_html = self.html_writer_config or WriterConfig(save_interval=0) + + if cfg_chemkin.enabled: + self.attach(ChemkinWriter(self.output_directory, cfg_chemkin)) + if cfg_rms.enabled: + self.attach(RMSWriter(self.output_directory, cfg_rms)) + if cfg_cantera1.enabled: + self.attach(CanteraWriter1(self.output_directory, cfg_cantera1)) + if cfg_cantera2.enabled: + self.attach(CanteraWriter2(self.output_directory, cfg_cantera2)) + if cfg_html.enabled: + self.attach(OutputHTMLWriter(self.output_directory, cfg_html)) if self.quantum_mechanics: self.attach(QMDatabaseWriter()) @@ -1234,6 +1255,14 @@ def execute(self, initialize=True, **kwargs): # Save the final seed mechanism self.make_seed_mech() + # Notify all writers that this is the final save (end-of-run). + # Writers configured with saveInterval=-1 will write only here. + # Writers configured with saveInterval>0 will also write here + # unless they already wrote on this iteration. + self.is_final_save = True + self.save_everything() + self.is_final_save = False + self.run_model_analysis() # generate Cantera files chem.yaml & chem_annotated.yaml in designated Cantera output folders From bc3f967317a7f049e3182563a72e86496c592cdc Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 22:17:10 -0400 Subject: [PATCH 489/700] fixup! Add Cantera files from main test, to testing folder. --- test/rmgpy/yaml_cantera1Test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index f348e9df3a0..6df68adae24 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -473,7 +473,7 @@ class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): def find_recent_files(self, request): """Find the YAML files generated by mainTest.""" cantera_dir = os.path.join(self.test_data_folder, 'cantera1') - chemkin_dir = os.path.join(self.test_data_folder, 'chemkin') + chemkin_dir = os.path.join(self.test_data_folder, 'ck2yaml') if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): pytest.skip("YAML test data directories not found. Run mainTest first.") From 037cad1100c121942a1f9d267465f7b535bb37ed Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 12:03:55 -0400 Subject: [PATCH 490/700] Wire WriterConfig into register_listeners() and all output writers register_listeners() now reads the five *_writer_config attributes from the RMG object and only attaches a writer if its config is enabled. Defaults (applied when the input file did not call options() at all) preserve the historical always-on behaviour for Chemkin and RMS, and the historical always-off default for CanteraWriter1, CanteraWriter2, and HTML. Each writer's __init__ now accepts config=None and each update() method starts with: if not config.should_write(rmg.reaction_model.iteration_num, rmg.is_final_save): return verbose = config.verbose_comments if ... else rmg.verbose_comments save_edge = config.save_edge if ... else rmg.save_edge_species This means the global verboseComments / saveEdgeSpecies flags continue to work as fallbacks for any writer that does not specify its own override. A final save_everything() call is added in execute() immediately after make_seed_mech() and before run_model_analysis(), with is_final_save=True. This guarantees: - Writers configured with saveInterval=-1 write exactly once (here). - Writers configured with saveInterval>0 also write here unless they already wrote on this iteration (prevented by _last_write guard). save_chemkin_files() and save_cantera_files() each gain a config= kwarg so the per-writer verbose/edge values can be threaded in from the writer class without touching the rmg object. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/chemkin.pyx | 16 +++++++++++----- rmgpy/rmg/output.py | 15 +++++++++++---- rmgpy/yaml_cantera1.py | 14 ++++++++++---- rmgpy/yaml_cantera2.py | 21 ++++++++++++++------- rmgpy/yaml_rms.py | 6 +++++- 5 files changed, 51 insertions(+), 21 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 3699be19bb7..9aac0dcabf3 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2277,10 +2277,12 @@ def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, trans save_transport_file(transport_path, species_list) -def save_chemkin_files(rmg): +def save_chemkin_files(rmg, config=None): """ Save the current reaction model to a set of Chemkin files. """ + verbose = config.verbose_comments if (config and config.verbose_comments is not None) else rmg.verbose_comments + save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species # todo: make this an attribute or method of reactionModel is_surface_model = any([s.contains_surface_site() for s in rmg.reaction_model.core.species]) @@ -2315,7 +2317,7 @@ def save_chemkin_files(rmg): os.unlink(latest_chemkin_path) shutil.copy2(this_chemkin_path, latest_chemkin_path) - if rmg.save_edge_species: + if save_edge: logging.info('Saving current model core and edge to Chemkin file...') this_chemkin_path = os.path.join(rmg.output_directory, 'chemkin', 'chem_edge{0:04d}.inp'.format(len(rmg.reaction_model.core.species))) @@ -2324,7 +2326,7 @@ def save_chemkin_files(rmg): latest_dictionary_path = os.path.join(rmg.output_directory, 'chemkin', 'species_edge_dictionary.txt') latest_transport_path = None save_chemkin(rmg.reaction_model, this_chemkin_path, latest_chemkin_verbose_path, latest_dictionary_path, - latest_transport_path, rmg.save_edge_species) + latest_transport_path, save_edge) if is_surface_model: paths = [] @@ -2391,9 +2393,13 @@ class ChemkinWriter(object): rmg.detach(listener) """ - def __init__(self, output_directory=''): + def __init__(self, output_directory='', config=None): super(ChemkinWriter, self).__init__() + self.config = config make_output_subdirectory(output_directory, 'chemkin') def update(self, rmg): - save_chemkin_files(rmg) + if self.config is not None and not self.config.should_write( + rmg.reaction_model.iteration_num, rmg.is_final_save): + return + save_chemkin_files(rmg, config=self.config) diff --git a/rmgpy/rmg/output.py b/rmgpy/rmg/output.py index 93cc8782bb3..bcd40c0826f 100644 --- a/rmgpy/rmg/output.py +++ b/rmgpy/rmg/output.py @@ -1317,14 +1317,16 @@ def csssafe(input): f.close() -def save_output(rmg): +def save_output(rmg, save_edge=None): """ Save the current reaction model to a pretty HTML file. """ + if save_edge is None: + save_edge = rmg.save_edge_species logging.info('Saving current model core to HTML file...') save_output_html(os.path.join(rmg.output_directory, 'output.html'), rmg.reaction_model, 'core') - if rmg.save_edge_species: + if save_edge: logging.info('Saving current model edge to HTML file...') save_output_html(os.path.join(rmg.output_directory, 'output_edge.html'), rmg.reaction_model, 'edge') @@ -1351,9 +1353,14 @@ class OutputHTMLWriter(object): """ - def __init__(self, output_directory=''): + def __init__(self, output_directory='', config=None): super(OutputHTMLWriter, self).__init__() + self.config = config make_output_subdirectory(output_directory, 'species') def update(self, rmg): - save_output(rmg) + if self.config is not None and not self.config.should_write( + rmg.reaction_model.iteration_num, rmg.is_final_save): + return + save_edge = self.config.save_edge if (self.config and self.config.save_edge is not None) else rmg.save_edge_species + save_output(rmg, save_edge=save_edge) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 5a1461f8e19..db2928b0c94 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -450,13 +450,19 @@ class CanteraWriter1(object): """ - def __init__(self, output_directory=""): + def __init__(self, output_directory="", config=None): super(CanteraWriter1, self).__init__() self.output_directory = output_directory + self.config = config self.output_subdirectory = os.path.join(self.output_directory, "cantera1") make_output_subdirectory(output_directory, "cantera1") def update(self, rmg): + if self.config is not None and not self.config.should_write( + rmg.reaction_model.iteration_num, rmg.is_final_save): + return + verbose = self.config.verbose_comments if (self.config and self.config.verbose_comments is not None) else rmg.verbose_comments + save_edge = self.config.save_edge if (self.config and self.config.save_edge is not None) else rmg.save_edge_species num_species = len(rmg.reaction_model.core.species) this_output_path = os.path.join(self.output_subdirectory, @@ -483,7 +489,7 @@ def update(self, rmg): ) shutil.copy2(this_output_path, latest_output_path) - if rmg.verbose_comments: + if verbose: annotated_path = os.path.join(self.output_subdirectory, 'chem_annotated.yaml') logging.info(f"Saving annotated Cantera file: {annotated_path}") write_cantera( @@ -496,7 +502,7 @@ def update(self, rmg): verbose=True, ) - if rmg.save_edge_species: + if save_edge: logging.info('Saving current model core and edge to Cantera file...') edge_species = rmg.reaction_model.core.species + rmg.reaction_model.edge.species edge_reactions = rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions @@ -515,7 +521,7 @@ def update(self, rmg): ) shutil.copy2(this_edge_path, latest_edge_path) - if rmg.verbose_comments: + if verbose: annotated_edge_path = os.path.join(self.output_subdirectory, 'chem_edge_annotated.yaml') logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 1155f001dd4..b5fd10500f7 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -77,26 +77,33 @@ class CanteraWriter2(object): with the current state of the RMG model at every iteration. """ - def __init__(self, output_directory=''): + def __init__(self, output_directory='', config=None): self.output_directory = output_directory + self.config = config make_output_subdirectory(output_directory, 'cantera2') def update(self, rmg): """ Called whenever the RMG subject notifies listeners. """ - save_cantera_files(rmg) + if self.config is not None and not self.config.should_write( + rmg.reaction_model.iteration_num, rmg.is_final_save): + return + save_cantera_files(rmg, config=self.config) -def save_cantera_files(rmg): +def save_cantera_files(rmg, config=None): """ Save the current reaction model to a set of Cantera YAML files. Creates: 1. chem{N}.yaml (where N is num species) 2. chem.yaml (latest copy) - 3. chem_annotated.yaml (if rmg.verbose_comments is True) + 3. chem_annotated.yaml (if verbose_comments is True) """ + verbose = config.verbose_comments if (config and config.verbose_comments is not None) else rmg.verbose_comments + save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species + # Ensure subdirectory exists cantera_dir = os.path.join(rmg.output_directory, 'cantera2') if not os.path.exists(cantera_dir): @@ -129,7 +136,7 @@ def save_cantera_files(rmg): shutil.copy2(this_cantera_path, latest_cantera_path) # Write annotated file if verbose_comments is requested - if rmg.verbose_comments: + if verbose: annotated_path = os.path.join(cantera_dir, 'chem_annotated.yaml') logging.info(f"Saving annotated Cantera file: {annotated_path}") save_cantera_model(rmg.reaction_model.core, annotated_path, site_density=site_density, @@ -138,7 +145,7 @@ def save_cantera_files(rmg): # ------------------------------------------------------------------------- # 2. Save Edge Model (Optional, matching ChemkinWriter logic) # ------------------------------------------------------------------------- - if rmg.save_edge_species: + if save_edge: logging.info('Saving current model core and edge to Cantera file...') this_edge_path = os.path.join(cantera_dir, @@ -162,7 +169,7 @@ def __init__(self, species, reactions): os.unlink(latest_edge_path) shutil.copy2(this_edge_path, latest_edge_path) - if rmg.verbose_comments: + if verbose: annotated_edge_path = os.path.join(cantera_dir, 'chem_edge_annotated.yaml') logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") save_cantera_model(edge_model, annotated_edge_path, site_density=site_density, diff --git a/rmgpy/yaml_rms.py b/rmgpy/yaml_rms.py index 8bc0df39d06..4132b0ae053 100644 --- a/rmgpy/yaml_rms.py +++ b/rmgpy/yaml_rms.py @@ -274,12 +274,16 @@ class RMSWriter(object): rmg.detach(listener) """ - def __init__(self, output_directory=''): + def __init__(self, output_directory='', config=None): super(RMSWriter, self).__init__() self.output_directory = output_directory + self.config = config make_output_subdirectory(output_directory, 'rms') def update(self, rmg): + if self.config is not None and not self.config.should_write( + rmg.reaction_model.iteration_num, rmg.is_final_save): + return solvent_data = None if rmg.solvent: solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent) From ab4d0a44012d10172198a1a0df9ac9ea64dd54ef Mon Sep 17 00:00:00 2001 From: Richard West Date: Sun, 3 May 2026 22:21:08 -0400 Subject: [PATCH 491/700] Fix yaml_cantera1Test test (generator name) --- test/rmgpy/yaml_cantera1Test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 6df68adae24..06ea5397e9c 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -332,7 +332,7 @@ def copy_yaml_dicts(self): def testGeneratorsAsExpected(self): "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." - assert self.yaml2['generator'] == 'RMG', "Second YAML file should be generated by RMG." + assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG." def testKeysMatch(self): """Test that the top-level keys in both YAML files match, except those expected not to.""" From 06cafcb1f0a4e738547872a4b8a99700aaec62e3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 12:04:09 -0400 Subject: [PATCH 492/700] Docs, example input, and unit tests for per-writer output configuration examples/rmg/commented/input.py Updated options() block to document all four new generateX keys with commented-out dict-form examples showing saveInterval, verboseComments, and saveEdge. Updated docstrings for verboseComments and saveEdgeSpecies to clarify their role as global fallbacks. documentation/source/users/rmg/input.rst Updated the options() code block to include the four new keys. Added a new 'Per-writer Output Configuration' subsection under the options heading that explains: - True/False/dict syntax and the available dict keys - saveInterval semantics (-1 = end only, N = every N iterations) - That verboseComments/saveEdgeSpecies remain as global fallbacks - Per-writer defaults and output folder for each writer test/rmgpy/rmg/inputTest.py New TestWriterConfig class (16 tests) covering: _parse_writer_config: False, True, True+custom-default, full dict, partial dict, invalid type WriterConfig.should_write: every-iteration, every-N, end-only, disabled, final-always-writes, no-double-write-on-final _writer_config_to_input: disabled (False), default-on (True), dict with overrides, None input Co-Authored-By: Claude Sonnet 4.6 --- documentation/source/users/rmg/input.rst | 55 +++++++++++++- examples/rmg/commented/input.py | 34 +++++++-- test/rmgpy/rmg/inputTest.py | 94 ++++++++++++++++++++++++ 3 files changed, 174 insertions(+), 9 deletions(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 40663fc8d4b..17635f33b56 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -1073,13 +1073,17 @@ Miscellaneous options:: units='si', generateOutputHTML=True, generatePlots=False, - generatePESDiagrams=False, + generatePESDiagrams=False, saveSimulationProfiles=True, verboseComments=False, saveEdgeSpecies=True, keepIrreversible=True, trimolecularProductReversible=False, - saveSeedModulus=-1 + saveSeedModulus=-1, + generateChemkin=True, + generateRMSYAML=True, + generateCanteraYAML1=False, + generateCanteraYAML2=False, ) The ``name`` field is the name of any generated seed mechanisms @@ -1099,9 +1103,9 @@ Setting ``generatePESDiagrams`` to ``True`` will generate potential energy surfa Setting ``saveSimulationProfiles`` to ``True`` will make RMG save csv files of the simulation in .csv files in the ``solver/`` folder. The filename will be ``simulation_1_26.csv`` where the first number corresponds to the reaciton system, and the second number corresponds to the total number of species at the point of the simulation. Therefore, the highest second number will indicate the latest simulation that RMG has complete while enlarging the core model. The information inside the csv file will provide the time, reactor volume in m^3, as well as mole fractions of the individual species. -Setting ``verboseComments`` to ``True`` will make RMG generate chemkin files with complete verbose commentary for the kinetic and thermo parameters. This will be helpful in debugging what values are being averaged for the kinetics. Note that this may produce very large files. +Setting ``verboseComments`` to ``True`` will make RMG generate chemkin files with complete verbose commentary for the kinetic and thermo parameters. This will be helpful in debugging what values are being averaged for the kinetics. Note that this may produce very large files. This is a global fallback; individual writers can override it (see below). -Setting ``saveEdgeSpecies`` to ``True`` will make RMG generate chemkin files of the edge reactions in addition to the core model in files such as ``chem_edge.inp`` and ``chem_edge_annotated.inp`` files located inside the ``chemkin`` folder. These files will be helpful in viewing RMG's estimate for edge reactions and seeing if certain reactions one expects are actually in the edge or not. +Setting ``saveEdgeSpecies`` to ``True`` will make RMG generate chemkin files of the edge reactions in addition to the core model in files such as ``chem_edge.inp`` and ``chem_edge_annotated.inp`` files located inside the ``chemkin`` folder. These files will be helpful in viewing RMG's estimate for edge reactions and seeing if certain reactions one expects are actually in the edge or not. This is a global fallback; individual writers can override it (see below). Setting ``keepIrreversible`` to ``True`` will make RMG import library reactions as is, whether they are reversible or irreversible in the library. Otherwise, if ``False`` (default value), RMG will force all library reactions to be reversible, and will assign the forward rate from the relevant library. @@ -1109,6 +1113,49 @@ Setting ``trimolecularProductReversible`` to ``False`` will not allow families w Setting ``saveSeedModulus`` to ``-1`` will only save the seed from the last iteration at the end of an RMG job. Alternatively, the seed can be saved every ``n`` iterations by setting ``saveSeedModulus`` to ``n``. +Per-writer Output Configuration +-------------------------------- + +Each of the following options controls a separate output-format writer. Each +accepts ``True``, ``False``, or a Python dict with optional keys: + +* ``'saveInterval'`` *(int)* — positive N writes every N iterations (iteration + numbering starts at 0); ``-1`` writes only at the very end of the run. + Defaults to ``1`` (every iteration) for writers that are on by default. +* ``'verboseComments'`` *(bool, optional)* — overrides the global + ``verboseComments`` flag for this writer only. +* ``'saveEdge'`` *(bool, optional)* — overrides the global ``saveEdgeSpecies`` + flag for this writer only. + +Examples:: + + # Chemkin: save only at the end, with verbose comments and edge species + generateChemkin={'saveInterval': -1, 'verboseComments': True, 'saveEdge': True} + + # RMS YAML: save every 5 iterations + generateRMSYAML={'saveInterval': 5} + + # Cantera YAML v2: save every iteration with verbose comments + generateCanteraYAML2={'saveInterval': 1, 'verboseComments': True, 'saveEdge': False} + +``generateChemkin`` (default ``True``) + Controls the Chemkin writer. Output is written to the ``chemkin/`` folder. + +``generateRMSYAML`` (default ``True``) + Controls the RMS YAML writer. Output is written to the ``rms/`` folder. + +``generateCanteraYAML1`` (default ``False``) + Controls the Cantera YAML v1 writer. Output is written to the ``cantera1/`` + folder. This writer is disabled by default. + +``generateCanteraYAML2`` (default ``False``) + Controls the Cantera YAML v2 writer. Output is written to the ``cantera2/`` + folder. This writer is disabled by default. + +``generateOutputHTML`` (default ``False``) + Controls the HTML species-visualisation writer. Output is written to the + ``species/`` folder. Accepts ``True``/``False`` or the same dict format. + Species Constraints ===================== diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 2c74b3700be..52a2f436700 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -221,11 +221,13 @@ generatePESDiagrams=False, # saves mole fraction of species in 'solver/' to help you create plots saveSimulationProfiles=False, - # gets RMG to output comments on where kinetics were obtained in the chemkin file. - # useful for debugging kinetics but increases memory usage of the chemkin output file + # Global fallback for verbose comments (comments on where kinetics were obtained). + # Useful for debugging kinetics but increases output file size. + # Individual writers can override this with their own verboseComments key. verboseComments=False, - # gets RMG to generate edge species chemkin files. Uses lots of memory in output. - # Helpful for seeing why some reaction are not appearing in core model. + # Global fallback for saving edge-species files. Uses lots of memory in output. + # Helpful for seeing why some reactions are not appearing in the core model. + # Individual writers can override this with their own saveEdge key. saveEdgeSpecies=False, # Sets a time limit in the form DD:HH:MM:SS after which the RMG job will stop. Useful for profiling on jobs that # do not converge. @@ -237,7 +239,29 @@ trimolecularProductReversible=True, # Allows a seed to be saved every n iterations. # The default of -1 causes the iteration to only be saved at the end of the RMG job - saveSeedModulus=-1 + saveSeedModulus=-1, + # + # --- Per-writer output configuration --- + # Each writer accepts True/False or a dict with keys: + # 'saveInterval': N (positive = every N iterations; -1 = end of run only) + # 'verboseComments': True/False (overrides the global verboseComments above) + # 'saveEdge': True/False (overrides the global saveEdgeSpecies above) + # + # Chemkin writer: always on by default; saves every iteration. + generateChemkin=True, + # generateChemkin={'saveInterval': -1, 'verboseComments': True, 'saveEdge': True}, + # + # RMS YAML writer: always on by default; saves every iteration. + generateRMSYAML=True, + # generateRMSYAML={'saveInterval': -1}, + # + # Cantera YAML v1 writer: off by default. + generateCanteraYAML1=False, + # generateCanteraYAML1={'saveInterval': -1, 'verboseComments': True, 'saveEdge': False}, + # + # Cantera YAML v2 writer: off by default. + generateCanteraYAML2=False, + # generateCanteraYAML2={'saveInterval': 1, 'verboseComments': True, 'saveEdge': True}, ) # optional module allows for correction to unimolecular reaction rates at low pressures and/or temperatures. diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py index f9b083822aa..b0fe108b675 100644 --- a/test/rmgpy/rmg/inputTest.py +++ b/test/rmgpy/rmg/inputTest.py @@ -31,8 +31,10 @@ import rmgpy.rmg.input as inp from rmgpy.exceptions import InputError +from rmgpy.rmg.input import _parse_writer_config, _writer_config_to_input from rmgpy.rmg.main import RMG from rmgpy.rmg.model import CoreEdgeReactionModel +from rmgpy.rmg.settings import WriterConfig from rmgpy.ml.estimator import ADMONITION import pytest @@ -538,3 +540,95 @@ def test_completed_networks_none(self): # Check that no networks were added assert len(rmg.reaction_model.completed_pdep_networks) == 0 + + +class TestWriterConfig: + """Unit tests for WriterConfig and the _parse_writer_config / _writer_config_to_input helpers.""" + + def test_parse_false_disables(self): + cfg = _parse_writer_config(False) + assert not cfg.enabled + assert cfg.save_interval == 0 + + def test_parse_true_enables_default_interval(self): + cfg = _parse_writer_config(True) + assert cfg.enabled + assert cfg.save_interval == 1 + assert cfg.verbose_comments is None + assert cfg.save_edge is None + + def test_parse_true_custom_default_interval(self): + cfg = _parse_writer_config(True, default_save_interval=5) + assert cfg.save_interval == 5 + + def test_parse_dict_full(self): + cfg = _parse_writer_config({'saveInterval': -1, 'verboseComments': True, 'saveEdge': False}) + assert cfg.enabled + assert cfg.save_interval == -1 + assert cfg.verbose_comments is True + assert cfg.save_edge is False + + def test_parse_dict_partial(self): + cfg = _parse_writer_config({'saveInterval': 3}) + assert cfg.save_interval == 3 + assert cfg.verbose_comments is None + assert cfg.save_edge is None + + def test_parse_invalid_raises(self): + with pytest.raises(InputError): + _parse_writer_config(42) + + def test_should_write_every_iteration(self): + cfg = WriterConfig(save_interval=1) + assert cfg.should_write(0, False) + assert cfg.should_write(1, False) + assert cfg.should_write(5, False) + + def test_should_write_every_n_iterations(self): + cfg = WriterConfig(save_interval=3) + assert cfg.should_write(0, False) + assert not cfg.should_write(1, False) + assert not cfg.should_write(2, False) + assert cfg.should_write(3, False) + assert cfg.should_write(6, False) + + def test_should_write_end_only(self): + cfg = WriterConfig(save_interval=-1) + assert not cfg.should_write(0, False) + assert not cfg.should_write(5, False) + assert cfg.should_write(5, True) + + def test_should_write_disabled(self): + cfg = WriterConfig(save_interval=0) + assert not cfg.should_write(0, False) + assert not cfg.should_write(0, True) + + def test_should_write_final_always_writes(self): + cfg = WriterConfig(save_interval=5) + # Iteration 7 was not written (not multiple of 5) + assert cfg.should_write(7, True) + + def test_should_write_final_no_double_write(self): + cfg = WriterConfig(save_interval=5) + # Iteration 5 is a multiple of 5 — written during loop + cfg.should_write(5, False) + # Final call at same iteration should be skipped + assert not cfg.should_write(5, True) + + def test_writer_config_to_input_false(self): + cfg = WriterConfig(save_interval=0) + assert _writer_config_to_input(cfg) is False + + def test_writer_config_to_input_true(self): + cfg = WriterConfig(save_interval=1) + assert _writer_config_to_input(cfg) is True + + def test_writer_config_to_input_dict(self): + cfg = WriterConfig(save_interval=-1, verbose_comments=True, save_edge=False) + result = _writer_config_to_input(cfg) + assert "'saveInterval': -1" in result + assert "'verboseComments': True" in result + assert "'saveEdge': False" in result + + def test_writer_config_to_input_none(self): + assert _writer_config_to_input(None) is False From 9f357ccbdd5a74ba3bfae0726f6eb9af7f369bed Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 4 May 2026 09:05:32 -0400 Subject: [PATCH 493/700] Fix yaml_cantera2Test mock RMG object missing verbose_comments attribute. There's a mock RMG object that was missing the attribute, which caused an error in the unit tests. --- test/rmgpy/yaml_cantera2Test.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index b5ff68b018b..f4d588a4869 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -243,6 +243,7 @@ def __init__(self, out_dir): self.output_directory = out_dir self.reaction_model = MockModel() self.save_edge_species = False + self.verbose_comments = False mock_rmg = MockRMG(self.tmp_dir) save_cantera_files(mock_rmg) @@ -401,6 +402,7 @@ def __init__(self, out_dir, model): self.output_directory = out_dir self.reaction_model = model self.save_edge_species = False + self.verbose_comments = False return MockRMG(self.tmp_dir, MockModel(MockCore(species_list, reaction_list))) From b796eb9140167f40876f8115dfac2423b80f0f55 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 12:29:42 -0400 Subject: [PATCH 494/700] Guard end-of-run Cantera translation and comparison behind writer configs Chemkin-to-Cantera translation (generate_cantera_files_from_chemkin) is now skipped when the Chemkin writer is disabled, since the .inp source files will not exist. Each compare_yaml_files_and_report call is independently guarded by whether the corresponding Cantera writer config (cantera1 or cantera2) is enabled. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/main.py | 94 ++++++++++++++++++++++++----------------------- 1 file changed, 48 insertions(+), 46 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index f4340dd94c4..3be300f948f 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1267,62 +1267,64 @@ def execute(self, initialize=True, **kwargs): # generate Cantera files chem.yaml & chem_annotated.yaml in designated Cantera output folders try: - logging.info("Translating final chemkin file into Cantera yaml.") translated_cantera_file = None - if any([s.contains_surface_site() for s in self.reaction_model.core.species]): - # Surface (catalytic) chemistry - translated_cantera_file = self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), - surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), - ) - self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), - surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), - ) + if self.chemkin_writer_config and self.chemkin_writer_config.enabled: + logging.info("Translating final chemkin file into Cantera yaml.") + if any([s.contains_surface_site() for s in self.reaction_model.core.species]): + # Surface (catalytic) chemistry + translated_cantera_file = self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), + surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), + ) + self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), + surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), + ) - if self.thermo_coverage_dependence: - # Build coverage_deps: {species_name: string_to_add_to_yaml} - coverage_deps = {} - for s in self.reaction_model.core.species: - if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: - s_name = s.to_chemkin() - for dep_sp_adj, parameters in s.thermo.thermo_coverage_dependence.items(): - mol = Molecule().from_adjacency_list(dep_sp_adj) - for sp in self.reaction_model.core.species: - if sp.is_isomorphic(mol, strict=False): - if s_name not in coverage_deps: - coverage_deps[s_name] = ' coverage-dependencies:' - coverage_deps[s_name] += f""" + if self.thermo_coverage_dependence: + # Build coverage_deps: {species_name: string_to_add_to_yaml} + coverage_deps = {} + for s in self.reaction_model.core.species: + if s.contains_surface_site() and s.thermo.thermo_coverage_dependence: + s_name = s.to_chemkin() + for dep_sp_adj, parameters in s.thermo.thermo_coverage_dependence.items(): + mol = Molecule().from_adjacency_list(dep_sp_adj) + for sp in self.reaction_model.core.species: + if sp.is_isomorphic(mol, strict=False): + if s_name not in coverage_deps: + coverage_deps[s_name] = ' coverage-dependencies:' + coverage_deps[s_name] += f""" {sp.to_chemkin()}: model: {parameters['model']} enthalpy-coefficients: {[v.value_si for v in parameters['enthalpy-coefficients']]} entropy-coefficients: {[v.value_si for v in parameters['entropy-coefficients']]} units: {{energy: J, quantity: mol}} """ - break + break - for yaml_path in [ - os.path.join(self.output_directory, "cantera", "chem.yaml"), - os.path.join(self.output_directory, "cantera", "chem_annotated.yaml"), - ]: - _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) + for yaml_path in [ + os.path.join(self.output_directory, "cantera", "chem.yaml"), + os.path.join(self.output_directory, "cantera", "chem_annotated.yaml"), + ]: + _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) - else: # gas phase only - translated_cantera_file = self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem.inp") - ) - self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem_annotated.inp") - ) - - # Compare translated Cantera files and directly generated Cantera files - - compare_yaml_files_and_report(translated_cantera_file, - os.path.join(self.output_directory, "cantera1", "chem.yaml"), - output=os.path.join(self.output_directory, "cantera1", "comparison_report.txt")) - compare_yaml_files_and_report(translated_cantera_file, - os.path.join(self.output_directory, "cantera2", "chem.yaml"), - output=os.path.join(self.output_directory, "cantera2", "comparison_report.txt")) + else: # gas phase only + translated_cantera_file = self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem.inp") + ) + self.generate_cantera_files_from_chemkin( + os.path.join(self.output_directory, "chemkin", "chem_annotated.inp") + ) + + # Compare translated Cantera files against directly generated Cantera files + if translated_cantera_file and self.cantera1_writer_config and self.cantera1_writer_config.enabled: + compare_yaml_files_and_report(translated_cantera_file, + os.path.join(self.output_directory, "cantera1", "chem.yaml"), + output=os.path.join(self.output_directory, "cantera1", "comparison_report.txt")) + if translated_cantera_file and self.cantera2_writer_config and self.cantera2_writer_config.enabled: + compare_yaml_files_and_report(translated_cantera_file, + os.path.join(self.output_directory, "cantera2", "chem.yaml"), + output=os.path.join(self.output_directory, "cantera2", "comparison_report.txt")) except EnvironmentError: logging.exception("Could not generate Cantera files due to EnvironmentError. Check read\\write privileges in output directory.") From 20fc705a05bf0c4f18f418c1ccbca5b92933444b Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 13:00:27 -0400 Subject: [PATCH 495/700] Demonstrate per-writer config in example inputs Add some examples of the output configuration features to input files. Co-Authored-By: Claude Sonnet 4.6 --- examples/rmg/1,3-hexadiene/input.py | 5 +++++ examples/rmg/ch3no2/input.py | 5 +++++ examples/rmg/diesel/input.py | 5 +++++ examples/rmg/e85/input.py | 4 ++++ examples/rmg/heptane-eg5/input.py | 12 ++++++++++-- 5 files changed, 29 insertions(+), 2 deletions(-) diff --git a/examples/rmg/1,3-hexadiene/input.py b/examples/rmg/1,3-hexadiene/input.py index f3706af0f7d..3e03b201c66 100644 --- a/examples/rmg/1,3-hexadiene/input.py +++ b/examples/rmg/1,3-hexadiene/input.py @@ -90,4 +90,9 @@ generateOutputHTML=False, generatePlots=False, generatePESDiagrams=True, + # Large model: write output every 5 iterations and skip edge species to reduce I/O + generateChemkin={'saveInterval': 1, 'saveEdge': False}, + generateRMSYAML={'saveInterval': 5}, + generateCanteraYAML1={'saveInterval': 5}, + generateCanteraYAML2={'saveInterval': 5}, ) diff --git a/examples/rmg/ch3no2/input.py b/examples/rmg/ch3no2/input.py index 1e1de348eab..5cebce3dbdc 100644 --- a/examples/rmg/ch3no2/input.py +++ b/examples/rmg/ch3no2/input.py @@ -80,8 +80,13 @@ ) simulator(atol=1e-16,rtol=1e-8) + options( units='si', generateOutputHTML=False, generatePlots=False, + # Large model: write output every 5 iterations to reduce I/O + generateChemkin={'saveInterval': 5, 'saveEdge': False}, + generateRMSYAML={'saveInterval': 5}, + generateCanteraYAML2={'saveInterval': 10, 'saveEdge': True}, ) diff --git a/examples/rmg/diesel/input.py b/examples/rmg/diesel/input.py index 0492c2b8db2..4fae7410917 100644 --- a/examples/rmg/diesel/input.py +++ b/examples/rmg/diesel/input.py @@ -86,4 +86,9 @@ units='si', generateOutputHTML=False, generatePlots=False, + # Large model: write output every 5 iterations and skip edge species to reduce I/O + generateChemkin={'saveInterval': 5, 'saveEdge': False}, + generateRMSYAML={'saveInterval': 5}, + generateCanteraYAML1={'saveInterval': 10}, + generateCanteraYAML2={'saveInterval': 10}, ) diff --git a/examples/rmg/e85/input.py b/examples/rmg/e85/input.py index 66529b9280c..2b895c27374 100644 --- a/examples/rmg/e85/input.py +++ b/examples/rmg/e85/input.py @@ -87,5 +87,9 @@ units='si', generateOutputHTML=False, generatePlots=False, + generateChemkin={'saveInterval': 5, 'saveEdge': True}, + generateRMSYAML={'saveInterval': 5}, + generateCanteraYAML1={'saveInterval': 5}, + generateCanteraYAML2={'saveInterval': 5}, ) diff --git a/examples/rmg/heptane-eg5/input.py b/examples/rmg/heptane-eg5/input.py index ee19001b306..b3d9b50e775 100644 --- a/examples/rmg/heptane-eg5/input.py +++ b/examples/rmg/heptane-eg5/input.py @@ -3,7 +3,7 @@ thermoLibraries = ['primaryThermoLibrary'], reactionLibraries = [], seedMechanisms = [], - kineticsDepositories = ['training'], + kineticsDepositories = ['training'], kineticsFamilies = 'default', kineticsEstimator = 'rate rules', ) @@ -71,4 +71,12 @@ interpolation=('Chebyshev', 6, 4), ) - +options( + units='si', + generateOutputHTML={'saveInterval': 10, 'saveEdge': True}, + generatePlots=False, + generateChemkin={'saveInterval': 1, 'saveEdge': False}, + generateRMSYAML={'saveInterval': 5}, + generateCanteraYAML1={'saveInterval': 5, 'saveEdge': True}, + generateCanteraYAML2={'saveInterval': 10, 'saveEdge': True}, +) From 39593f9f3993a0eedfa6cd719bcffaf353d1b85f Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 17:03:50 -0400 Subject: [PATCH 496/700] Fix --walltime CLI precedence over input.py settings Previously, `--walltime` defaulted to `'00:00:00:00'` and was always passed as a kwarg to `RMG.execute()`, silently overriding any `wallTime` set in `input.py`. This meant users who set `wallTime` in their input file and ran without `-t` would have their setting clobbered, giving an effective wall time of zero (no limit). Changes: - Change `--walltime` default to `None`; only add `walltime` and `max_iterations` to the kwargs dict when they are explicitly provided on the command line. Input-file values are now respected by default. - Move walltime/max_iterations override logic earlier in `execute()` (before database loading), so bad values produce an error immediately rather than after a potentially long setup phase. - Extract walltime parsing into a `_parse_walltime_to_seconds()` static method for clarity and testability; improve the error message to include the invalid value. - Log an explicit "Overriding walltime/max_iterations from input file (...) with command-line value (...)" message whenever the CLI does override the input file, making precedence visible in the run log. - Replace bare `return` statements inside nested loops (walltime/maxiter termination paths) with an `end_early` flag + `break`, so that `make_seed_mech()`, `check_model()`, and `finish()` are still called on early termination. Suppress the "MODEL GENERATION COMPLETED" banner when ending early to avoid misleading output. - Update docs (`running.rst`) and example input files to document CLI override behaviour and clarify that `wallTime` can be set in `input.py` while `--maxiter` is CLI-only. - Update test for the new `None` default. --- documentation/source/users/rmg/running.rst | 6 +- examples/rmg/MR_test/input.py | 4 +- examples/rmg/commented/input.py | 10 +-- rmgpy/__main__.py | 6 +- rmgpy/rmg/main.py | 72 ++++++++++++++-------- rmgpy/util.py | 4 +- test/rmgpy/rmg/rmgTest.py | 2 +- 7 files changed, 65 insertions(+), 39 deletions(-) diff --git a/documentation/source/users/rmg/running.rst b/documentation/source/users/rmg/running.rst index 0755c6199e7..43425fe38b4 100755 --- a/documentation/source/users/rmg/running.rst +++ b/documentation/source/users/rmg/running.rst @@ -48,9 +48,9 @@ at the command line will print the documentation from ``util.py``, which is repr -P, --postprocess postprocess profiling statistics from previous [failed] run; does not run the simulation -t DD:HH:MM:SS, --walltime DD:HH:MM:SS - set the maximum execution time + set the maximum execution time (overrides input.py if provided) -i MAXITER, --maxiter MAXITER - set the maximum number of RMG iterations + set the maximum number of RMG iterations (overrides input.py if provided) -n MAXPROC, --maxproc MAXPROC max number of processes used during reaction generation @@ -73,7 +73,7 @@ Run with multiprocessing for reaction generation and QMTP:: python rmg.py -n input.py -Run with setting a limit on the maximum execution time:: +Run with setting a limit on the maximum execution time (if specified, then the command-line value overrides any value read from ``input.py``):: python rmg.py -t input.py diff --git a/examples/rmg/MR_test/input.py b/examples/rmg/MR_test/input.py index 956c7258379..bea097546a1 100644 --- a/examples/rmg/MR_test/input.py +++ b/examples/rmg/MR_test/input.py @@ -260,9 +260,9 @@ #Sets a time limit in the form DD:HH:MM:SS after which the RMG job will stop. Useful for profiling on jobs that #do not converge. #wallTime = '00:00:00', + #When keepIrreversible=False (default), forces RMG to import library reactions as reversible. + #Otherwise, if set to True, RMG will import library reactions while keeping the reversibility as specified. keepIrreversible=False, - #Forces RMG to import library reactions as reversible (default). Otherwise, if set to True, RMG will import library - #reactions while keeping the reversibility as as. ) # optional module allows for correction to unimolecular reaction rates at low pressures and/or temperatures. diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 52a2f436700..95c2c8eecc2 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -229,11 +229,11 @@ # Helpful for seeing why some reactions are not appearing in the core model. # Individual writers can override this with their own saveEdge key. saveEdgeSpecies=False, - # Sets a time limit in the form DD:HH:MM:SS after which the RMG job will stop. Useful for profiling on jobs that - # do not converge. - # wallTime = '00:00:00', - # Forces RMG to import library reactions as reversible (default). Otherwise, if set to True, RMG will import library - # reactions while keeping the reversibility as as. + # Sets a time limit in the form DD:HH:MM:SS after (or shortly before) which the RMG job will stop. + # Useful for profiling on jobs that do not converge. + wallTime = '00:00:00:00', + # If keepIrreversible=False (default) forces RMG to import library reactions as reversible. + # If set to True, RMG will import library reactions while keeping the reversibility as specified. keepIrreversible=False, # Allows families with three products to react in the diverse direction (default). trimolecularProductReversible=True, diff --git a/rmgpy/__main__.py b/rmgpy/__main__.py index 6127d761f80..5e85b6c99bf 100644 --- a/rmgpy/__main__.py +++ b/rmgpy/__main__.py @@ -62,11 +62,13 @@ def main(): kwargs = { 'restart': args.restart, - 'walltime': args.walltime, 'maxproc': args.maxproc, 'kineticsdatastore': args.kineticsdatastore, - 'max_iterations': args.maxiter, } + if args.walltime is not None: + kwargs['walltime'] = args.walltime + if args.maxiter is not None: + kwargs['max_iterations'] = args.maxiter if args.profile: import cProfile diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 3be300f948f..2d10ddaacb7 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -271,6 +271,19 @@ def clear(self): self.exec_time = [] self.liquid_volumetric_mass_transfer_coefficient_power_law = None + @staticmethod + def _parse_walltime_to_seconds(walltime): + """ + Convert walltime string DD:HH:MM:SS to seconds. + """ + data = walltime.split(":") + if len(data) != 4: + raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(walltime)) + try: + return int(data[-1]) + 60 * int(data[-2]) + 3600 * int(data[-3]) + 86400 * int(data[-4]) + except ValueError as exc: + raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(walltime)) from exc + def load_input(self, path=None): """ Load an RMG job from the input file located at `input_file`, or @@ -582,6 +595,24 @@ def initialize(self, **kwargs): ) ) + if "walltime" in kwargs: + logging.info( + "Overriding walltime from input file (%s) with command-line value (%s).", + self.walltime, + kwargs["walltime"], + ) + self.walltime = kwargs["walltime"] + + if "max_iterations" in kwargs: + logging.info( + "Overriding max_iterations from input file (%s) with command-line value (%s).", + self.max_iterations, + kwargs["max_iterations"], + ) + self.max_iterations = kwargs["max_iterations"] + + self.walltime = self._parse_walltime_to_seconds(self.walltime) + # Auto-select libraries if any field uses 'auto' or '' auto_select_libraries(self) @@ -659,21 +690,6 @@ def initialize(self, **kwargs): if reaction_system.T: reaction_system.viscosity = solvent_data.get_solvent_viscosity(reaction_system.T.value_si) - try: - self.walltime = kwargs["walltime"] - except KeyError: - pass - - try: - self.max_iterations = kwargs["max_iterations"] - except KeyError: - pass - - data = self.walltime.split(":") - if not len(data) == 4: - raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(self.walltime)) - self.walltime = int(data[-1]) + 60 * int(data[-2]) + 3600 * int(data[-3]) + 86400 * int(data[-4]) - # Initialize reaction model for spec in self.initial_species: @@ -931,6 +947,7 @@ def execute(self, initialize=True, **kwargs): self.make_seed_mech() max_num_spcs_hit = False # default + end_early = False for q, model_settings in enumerate(self.model_settings_list): if len(self.simulator_settings_list) > 1: @@ -940,7 +957,7 @@ def execute(self, initialize=True, **kwargs): self.filter_reactions = model_settings.filter_reactions - logging.info("Beginning model generation stage {0}...\n".format(q + 1)) + logging.info(f"Beginning model generation stage {q + 1} of {len(self.model_settings_list)}.\n") self.done = False @@ -1235,7 +1252,8 @@ def execute(self, initialize=True, **kwargs): core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size() logging.info("The current model core has %s species and %s reactions" % (core_spec, core_reac)) logging.info("The current model edge has %s species and %s reactions" % (edge_spec, edge_reac)) - return + end_early = True + break if self.max_iterations and (self.reaction_model.iteration_num >= self.max_iterations): logging.info("MODEL GENERATION TERMINATED") @@ -1246,12 +1264,16 @@ def execute(self, initialize=True, **kwargs): core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size() logging.info("The current model core has %s species and %s reactions" % (core_spec, core_reac)) logging.info("The current model edge has %s species and %s reactions" % (edge_spec, edge_reac)) - return + end_early = True + break if max_num_spcs_hit: # resets maxNumSpcsHit and continues the settings for loop logging.info("The maximum number of species ({0}) has been hit, Exiting stage {1} ...".format(model_settings.max_num_species, q + 1)) max_num_spcs_hit = False + if end_early: # breaks the settings for loop + break + # Save the final seed mechanism self.make_seed_mech() @@ -1333,12 +1355,14 @@ def execute(self, initialize=True, **kwargs): self.check_model() # Write output file - logging.info("") - logging.info("MODEL GENERATION COMPLETED") - logging.info("") - core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size() - logging.info("The final model core has %s species and %s reactions" % (core_spec, core_reac)) - logging.info("The final model edge has %s species and %s reactions" % (edge_spec, edge_reac)) + + if not end_early: + logging.info("") + logging.info("MODEL GENERATION COMPLETED") + logging.info("") + core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size() + logging.info("The final model core has %s species and %s reactions" % (core_spec, core_reac)) + logging.info("The final model edge has %s species and %s reactions" % (edge_spec, edge_reac)) self.finish() diff --git a/rmgpy/util.py b/rmgpy/util.py index 15769e02e61..8be80d5f889 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -173,7 +173,7 @@ def parse_command_line_arguments(command_line_args=None): parser.add_argument('-P', '--postprocess', action='store_true', help='postprocess profiling statistics from previous [failed] run; does not run the simulation') - parser.add_argument('-t', '--walltime', type=str, nargs=1, default='00:00:00:00', + parser.add_argument('-t', '--walltime', type=str, nargs=1, default=None, metavar='DD:HH:MM:SS', help='set the maximum execution time') parser.add_argument('-i', '--maxiter', type=int, nargs=1, default=None, @@ -197,7 +197,7 @@ def parse_command_line_arguments(command_line_args=None): args.file = args.file[0] # If walltime was specified, retrieve this string from the element 1 list - if args.walltime != '00:00:00:00': + if args.walltime: args.walltime = args.walltime[0] if args.restart: diff --git a/test/rmgpy/rmg/rmgTest.py b/test/rmgpy/rmg/rmgTest.py index 26686ae2c18..1fab407c8ee 100644 --- a/test/rmgpy/rmg/rmgTest.py +++ b/test/rmgpy/rmg/rmgTest.py @@ -206,7 +206,7 @@ def test_parse_command_line_arguments_defaults(self): args = parse_command_line_arguments(["input.py"]) # Test default values - assert args.walltime == "00:00:00:00" + assert args.walltime is None assert args.output_directory == os.path.abspath(os.path.dirname("./")) assert args.debug == False assert args.file == "input.py" From 5c364dc66537db1394e999d18faf58d7e1a0415e Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 22:31:05 -0400 Subject: [PATCH 497/700] Adding documentation for new output writers. --- documentation/source/users/rmg/input.rst | 51 ++++++++--- documentation/source/users/rmg/output.rst | 100 ++++++++++++++++++++-- 2 files changed, 135 insertions(+), 16 deletions(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 17635f33b56..ba0d5a9ca1f 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -1094,8 +1094,10 @@ Setting ``saveSeedToDatabase`` to ``True`` tells RMG (if generating a seed) to a The ``units`` field is set to ``si``. Currently there are no other unit options. -Setting ``generateOutputHTML`` to ``True`` will let RMG know that you want to save 2-D images (png files in the local ``species`` folder) of all species in the generated core model. It will save a visualized -HTML file for your model containing all the species and reactions. Turning this feature off by setting it to ``False`` may save memory if running large jobs. +Setting ``generateOutputHTML`` to ``True`` will let RMG know that you want to save 2-D images (png files in the local ``species`` folder) of all species in the generated core model. +It will save a visualized HTML file for your model containing all the species and reactions. +Turning this feature off by setting it to ``False`` may save memory if running large jobs. +It can be configured using a dictionary of settings in place of the ``True`` statement, as described below. Setting ``generatePlots`` to ``True`` will generate a number of plots describing the statistics of the RMG job, including the reaction model core and edge size and memory use versus execution time. These will be placed in the output directory in the plot/ folder. @@ -1116,8 +1118,8 @@ Setting ``saveSeedModulus`` to ``-1`` will only save the seed from the last iter Per-writer Output Configuration -------------------------------- -Each of the following options controls a separate output-format writer. Each -accepts ``True``, ``False``, or a Python dict with optional keys: +Each of the following options controls a separate output-format writer. +Each accepts ``True``, ``False``, or a Python dict with optional keys: * ``'saveInterval'`` *(int)* — positive N writes every N iterations (iteration numbering starts at 0); ``-1`` writes only at the very end of the run. @@ -1140,17 +1142,44 @@ Examples:: ``generateChemkin`` (default ``True``) Controls the Chemkin writer. Output is written to the ``chemkin/`` folder. + When enabled, Cantera's ``ck2yaml`` converter is also run at the end of the + job to produce a ``cantera_from_ck/`` folder — see :ref:`output`. ``generateRMSYAML`` (default ``True``) Controls the RMS YAML writer. Output is written to the ``rms/`` folder. -``generateCanteraYAML1`` (default ``False``) - Controls the Cantera YAML v1 writer. Output is written to the ``cantera1/`` - folder. This writer is disabled by default. - -``generateCanteraYAML2`` (default ``False``) - Controls the Cantera YAML v2 writer. Output is written to the ``cantera2/`` - folder. This writer is disabled by default. +``generateCanteraYAML1`` (default ``False``) *(beta)* + Controls the *direct* Cantera YAML v1 writer. Output is written to the + ``cantera1/`` folder. Unlike the ``cantera_from_ck`` route (which converts + a Chemkin file via ``ck2yaml``), this writer constructs the YAML directly + from RMG's internal Python objects without going through Chemkin at all. + It runs at every iteration (or on the configured schedule) so you get a + history of the growing mechanism. + + .. warning:: + + This writer is in **beta**. The output should be valid Cantera YAML, but + it has been less extensively tested than the established + ``cantera_from_ck`` route. If both this writer and the Chemkin writer + are enabled, a ``comparison_report.txt`` is generated at the end of the + run comparing the two outputs numerically. Please report discrepancies + on the `RMG-Py issue tracker + `_. + +``generateCanteraYAML2`` (default ``False``) *(beta)* + Controls the *direct* Cantera YAML v2 writer. Output is written to the + ``cantera2/`` folder. Like ``generateCanteraYAML1``, this writer bypasses + the Chemkin intermediate, but instead uses the Cantera Python API + (``ct.Solution``) to construct and serialise the mechanism. It also runs + at every iteration (or on the configured schedule). + + .. warning:: + + This writer is in **beta**. It has been less extensively tested than the + established ``cantera_from_ck`` route. When enabled alongside the Chemkin + writer, a ``comparison_report.txt`` is generated at the end of the run. + Please report discrepancies on the `RMG-Py issue tracker + `_. ``generateOutputHTML`` (default ``False``) Controls the HTML species-visualisation writer. Output is written to the diff --git a/documentation/source/users/rmg/output.rst b/documentation/source/users/rmg/output.rst index 57b6d818ee7..632a7fca75c 100755 --- a/documentation/source/users/rmg/output.rst +++ b/documentation/source/users/rmg/output.rst @@ -4,13 +4,17 @@ Analyzing the Output Files ************************** -You will see that a sucessfully executed RMG job will create multiple output files and folders: +You will see that a sucessfully executed RMG job will create multiple output files and folders: ``output.html`` (if ``generateOutputHTML=True`` is specified) +``/cantera_from_ck`` +``/cantera1`` (if ``generateCanteraYAML1=True`` is specified) +``/cantera2`` (if ``generateCanteraYAML2=True`` is specified) ``/chemkin`` -``/pdep`` +``/pdep`` ``/plot`` +``/rms`` ``/solver`` -``/species`` +``/species`` ``RMG.log`` ------------------ @@ -39,6 +43,92 @@ network. ------------------ The Solver Folder ------------------- -RMG currently includes a solver for isothermal batch reactors. This is in fact a critical part of the model enlargement algorithm. If you have included simulations in your input file, the solutions will be located in ``/solver``. You will probably only be interested in the files with the largest number tags. +------------------ +RMG currently includes a solver for isothermal batch reactors. This is in fact a critical part of the model enlargement algorithm. If you have included simulations in your input file, the solutions will be located in ``/solver``. You will probably only be interested in the files with the largest number tags. Please note that up to and including RMG-Py version 2.3.0 these files showed mole fraction of each species at each step, but they now show amount (number of moles) of each species; you must divide by the sum if you wish to get a mole fraction. + +------------------------------ +Cantera Output Folders +------------------------------ + +RMG can write mechanisms in `Cantera `_ YAML format via three distinct +routes, producing up to three output folders. All three require Cantera to be installed in +the conda environment (it is included in the standard ``rmg_env``). + +``/cantera_from_ck`` +^^^^^^^^^^^^^^^^^^^^ + +This folder is always produced when the Chemkin writer is enabled (``generateChemkin=True``, the default). +After the final RMG iteration, Cantera's own ``ck2yaml`` converter is used to translate the Chemkin-format files in ``/chemkin`` into Cantera YAML. +This is the most thoroughly tested route and is the recommended output for production use. + +``/cantera1`` *(beta)* +^^^^^^^^^^^^^^^^^^^^^^ + +.. note:: + + The ``cantera1`` writer is in **beta**. It uses the Cantera Python API to construct and + serialise the mechanism YAML, rather than writing the YAML by hand. It has been less + extensively tested than the ``cantera_from_ck`` route. Please report any discrepancies. + +This folder is created when ``generateCanteraYAML1=True`` is set in the ``options()`` block +(disabled by default). The writer runs after every RMG iteration (or on the schedule set by +``saveInterval``), so the folder accumulates a history of the growing mechanism. + +Files generated: + +* ``chem{NNNN}.yaml`` — mechanism snapshot at the iteration when the core contained *NNNN* + species (e.g. ``chem0042.yaml``) +* ``chem.yaml`` — copy of the latest snapshot; always reflects the current model state +* ``chem_annotated.yaml`` — annotated version with SMILES, source, and kinetics comments + (written when ``verboseComments=True`` for this writer) +* ``chem_edge{NNNN}.yaml`` / ``chem_edge.yaml`` / ``chem_edge_annotated.yaml`` — edge-model + equivalents (written when ``saveEdge=True``) +* ``comparison_report.txt`` — numerical comparison of ``chem.yaml`` against the + ``cantera_from_ck`` translation (written at the end of the run if both writers are enabled; + see below) + +``/cantera2`` *(beta)* +^^^^^^^^^^^^^^^^^^^^^^ + +.. note:: + + The ``cantera2`` writer is in **beta**. It generates Cantera YAML directly from RMG's + internal Python data structures, without going through the Chemkin intermediate. While + it should produce valid mechanisms, it has been less extensively tested than the + ``cantera_from_ck`` route. Please report any discrepancies. + +This folder is created when ``generateCanteraYAML2=True`` is set in the ``options()`` block +(disabled by default). Like ``cantera1``, it runs at every iteration (or on the configured +schedule). + +Files generated: + +* ``chem{NNNN}.yaml`` / ``chem.yaml`` — latest mechanism snapshot and its labelled history +* ``chem_annotated.yaml`` — annotated version (written when ``verboseComments=True``) +* ``chem_edge{NNNN}.yaml`` / ``chem_edge.yaml`` / ``chem_edge_annotated.yaml`` — edge-model + equivalents (written when ``saveEdge=True``) +* ``comparison_report.txt`` — numerical comparison against the ``cantera_from_ck`` + translation (written at the end of the run if both writers are enabled) + +Comparison Reports +^^^^^^^^^^^^^^^^^^ + +When a direct-writer folder (``cantera1`` or ``cantera2``) is used alongside the Chemkin +writer, RMG automatically compares the final ``chem.yaml`` from that folder against the +``cantera_from_ck/chem.yaml`` produced by ``ck2yaml``. The comparison checks differences +in the yaml data. Not all differences are necessarily problematic. Results are written to +``comparison_report.txt`` inside the relevant direct-writer folder. + +If you find that the two routes disagree in a problematic way, please open an issue on the +`RMG-Py GitHub repository `_ +and include the ``comparison_report.txt`` and a minimal reproducing ``input.py``. + +------------------------------ +The RMS YAML Folder +------------------------------ + +The ``/rms`` folder contains the mechanism in +`ReactionMechanismSimulator (RMS) `_ +YAML format. This writer is enabled by default (``generateRMSYAML=True``) and writes at +every iteration, unless configured otherwise by ``saveInterval``. From 442213b5aeda81d66c8279cb57d80161d67dc8f3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 6 May 2026 22:36:17 -0400 Subject: [PATCH 498/700] Fix end-of-run Cantera translation: correct folder name and guard missing annotated files Coverage-dependence post-processing was still targeting the old 'cantera/' folder; it now correctly targets 'cantera_from_ck/'. Also added os.path.exists() guards around all annotated-file translation calls so that runs configured without verboseComments (which never write chem_annotated.inp) no longer fail when those files are absent. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/main.py | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 2d10ddaacb7..c12825589ea 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1298,10 +1298,12 @@ def execute(self, initialize=True, **kwargs): os.path.join(self.output_directory, "chemkin", "chem-gas.inp"), surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")), ) - self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"), - surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), - ) + annotated_gas = os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp") + if os.path.exists(annotated_gas): + self.generate_cantera_files_from_chemkin( + annotated_gas, + surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")), + ) if self.thermo_coverage_dependence: # Build coverage_deps: {species_name: string_to_add_to_yaml} @@ -1325,18 +1327,19 @@ def execute(self, initialize=True, **kwargs): break for yaml_path in [ - os.path.join(self.output_directory, "cantera", "chem.yaml"), - os.path.join(self.output_directory, "cantera", "chem_annotated.yaml"), + os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml"), + os.path.join(self.output_directory, "cantera_from_ck", "chem_annotated.yaml"), ]: - _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) + if os.path.exists(yaml_path): + _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps) else: # gas phase only translated_cantera_file = self.generate_cantera_files_from_chemkin( os.path.join(self.output_directory, "chemkin", "chem.inp") ) - self.generate_cantera_files_from_chemkin( - os.path.join(self.output_directory, "chemkin", "chem_annotated.inp") - ) + annotated = os.path.join(self.output_directory, "chemkin", "chem_annotated.inp") + if os.path.exists(annotated): + self.generate_cantera_files_from_chemkin(annotated) # Compare translated Cantera files against directly generated Cantera files if translated_cantera_file and self.cantera1_writer_config and self.cantera1_writer_config.enabled: From 8ac28f6241077fcc45cab7c5e17a0671f72169a5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 7 May 2026 09:37:53 -0400 Subject: [PATCH 499/700] mainTest now turns on the Cantera YAML writers for testing. Now that they're off-by-default, we need to turn them on for testing. --- test/rmgpy/test_data/mainTest/input.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/test_data/mainTest/input.py b/test/rmgpy/test_data/mainTest/input.py index 6b118b4ceb8..dc87419de19 100644 --- a/test/rmgpy/test_data/mainTest/input.py +++ b/test/rmgpy/test_data/mainTest/input.py @@ -79,7 +79,15 @@ saveEdgeSpecies=False, verboseComments=True, saveSimulationProfiles=False, + generateCanteraYAML1=True, + generateCanteraYAML2=True, + generateRMSYAML=True, + generateChemkin=True, ) -generatedSpeciesConstraints(allowed=['seed mechanisms','reaction libraries'], -maximumRadicalElectrons=3,maximumCarbeneRadicals=3,maximumSingletCarbenes=3) +generatedSpeciesConstraints( + allowed=['seed mechanisms','reaction libraries'], + maximumRadicalElectrons=3, + maximumCarbeneRadicals=3, + maximumSingletCarbenes=3 +) From 458bb3fb63555d8ae6f53daf47643e565001570a Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 7 May 2026 15:35:04 -0400 Subject: [PATCH 500/700] Tweak iteration counting and seed saving. A recent change meant that when a model reaches the wall clock or iteration count limit and is terminated, it now does the "end of job" steps like checking colliders, running ck2yaml, etc. This means that some things, like saving the Seed, and writing a row to the statistics.xls, got done one more time. This fixes a couple of things which that broke. --- rmgpy/rmg/main.py | 1 + test/rmgpy/rmg/mainTest.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index c12825589ea..6ccb7a7a292 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1274,6 +1274,7 @@ def execute(self, initialize=True, **kwargs): if end_early: # breaks the settings for loop break + self.reaction_model.iteration_num += 1 # Save the final seed mechanism self.make_seed_mech() diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index d7ae5ae64c5..bb5df4bdd80 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -363,7 +363,7 @@ def test_max_iter(self): num_rows = df.shape[0] num_iter_actual = num_rows - num_iter_expected = self.max_iter + 1 # +1 is for saving iteration 0 + num_iter_expected = self.max_iter + 2 # +2 is for saving iteration 0, and the final after the loop ends. assert num_iter_actual == num_iter_expected @classmethod From 66943231837e6ad730fc89e79e43648dd30fc0b5 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 1 May 2026 08:35:27 -0400 Subject: [PATCH 501/700] Don't compute RTP if constant volume reactor RTP is only used for variable volume reactors. Requiring P messes up the surface reactor (constant volume) because it does not keep track of P. Moving this behind the variable volume check allows us to do sensitivity for surface reactors without implementing something to keep track of P. --- rmgpy/solver/base.pyx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/base.pyx b/rmgpy/solver/base.pyx index 1aeebc63150..3470c95088d 100644 --- a/rmgpy/solver/base.pyx +++ b/rmgpy/solver/base.pyx @@ -714,7 +714,8 @@ cdef class ReactionSystem(DASx): if sensitivity: time_array = [] norm_sens_array = [[] for spec in self.sensitive_species] - RTP = constants.R * self.T.value_si / self.P.value_si + if not self.constant_volume: + RTP = constants.R * self.T.value_si / self.P.value_si # identify sensitive species indices sens_species_indices = np.array([species_index[spec] for spec in self.sensitive_species], int) # index within core_species list of the sensitive species From a032eb3bff0329a6613907c2bd7ec7ee501e10f4 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 1 May 2026 08:39:28 -0400 Subject: [PATCH 502/700] correct surface solver docstring to reflect surface, not simple solver --- rmgpy/solver/surface.pyx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index a9e0cd22b49..0739af1d294 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -26,8 +26,8 @@ ############################################################################### """ -Contains the :class:`SimpleReactor` class, providing a reaction system -consisting of a homogeneous, isothermal, isobaric batch reactor. +Contains the :class:`SurfaceReactor` class, providing a reaction system +consisting of a heterogeneous, isothermal, constant volume batch reactor. """ import itertools From b1c38af119c8a12a07d1c8b2fccd7b199e67e77a Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 1 May 2026 08:43:55 -0400 Subject: [PATCH 503/700] Add Jacobian function for SurfaceReactor --- rmgpy/solver/surface.pyx | 409 ++++++++++++++++++++++++++++++++++++++- 1 file changed, 408 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 0739af1d294..7e24f811950 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -614,7 +614,7 @@ cdef class SurfaceReactor(ReactionSystem): res = core_species_rates * V # mol/s - if self.sensitivity and False: + if self.sensitivity: delta = np.zeros(len(N), float) delta[:num_core_species] = res if self.jacobian_matrix is None: @@ -633,3 +633,410 @@ cdef class SurfaceReactor(ReactionSystem): # Return DELTA, IRES. IRES is set to 1 in order to tell DASPK to evaluate the sensitivity residuals return delta, 1 + + @cython.boundscheck(False) + def jacobian(self, double t, np.ndarray[np.float64_t, ndim=1] y, np.ndarray[np.float64_t, ndim=1] dydt, + double cj, np.ndarray[np.float64_t, ndim=1] senpar = np.zeros(1, float)): + """ + Return the analytical Jacobian for the reaction system. + + Constant volume (isochoric), variable pressure, with mixed gas-phase + and surface species. + + kf[j] and kr[j] are given in volume units (mol / m^3 / s), even for + surface reactions. generate_rate_coefficients premultiplies the raw + surface rate coefficient by surface_volume_ratio (= A/V, units 1/m) so + that the residual can uniformly compute: + + reaction_rate [mol/m^3/s] = k * prod_r C[r] + dn_i/dt [mol/s] = nu_ij * reaction_rate * V + + for every reaction regardless of phase. + + Concentrations + -------------- + Gas-phase species: C[i] = y[i] / V (mol / m^3) + Surface species: C[i] = y[i] / V / svr = y[i] / A (mol / m^2) + + where svr = surface_volume_ratio (1/m) + + Derivative rule + --------------- + deriv w.r.t. n[s] = k * (prod_{r != s} C[r]) * V / Omega[s] + + For gas-phase species: V / Omega[s] = V / V = 1 + For surface species: V / Omega[s] = V / A = 1 / svr + + No corr terms (like in SimpleReactor) because V and A are both constant. + """ + cdef np.ndarray[np.int_t, ndim=2] ir, ip + cdef np.ndarray[np.float64_t, ndim=1] kf, kr, C + cdef np.ndarray[np.float64_t, ndim=2] pd + cdef np.ndarray[np.float64_t, ndim=1] Omega # per-species normalization + cdef int num_core_reactions, num_core_species, i, j + cdef double k, V, A, deriv + + ir = self.reactant_indices + ip = self.product_indices + + kf = self.kf # already in volume units for all reactions + kr = self.kb # already in volume units for all reactions + num_core_reactions = len(self.core_reaction_rates) + num_core_species = len(self.core_species_concentrations) + + pd = np.zeros((num_core_species, num_core_species), dtype=np.float64) + np.fill_diagonal(pd, -cj) + + V = self.V + A = V * self.surface_volume_ratio.value_si # surface area in m^2 + + # Per-species normalization: Omega[i] = A for surface species, V for gas + Omega = np.full(num_core_species, V, dtype=np.float64) + for i in range(num_core_species): + if self.species_on_surface[i]: + Omega[i] = A + + # Concentrations — surface species in mol/m^2, gas in mol/m^3 + C = np.zeros_like(self.core_species_concentrations) + for j in range(num_core_species): + C[j] = y[j] / Omega[j] + + for j in range(num_core_reactions): + + # ------------------------------------------------------------------ + # Forward reaction + # ------------------------------------------------------------------ + k = kf[j] + + if ir[j, 1] == -1: # unimolecular forward + # deriv = k * V / Omega[s]; gas: k*1 = k; surface: k*V/A = k/svr + deriv = k * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + elif ir[j, 2] == -1: # bimolecular forward + if ir[j, 0] == ir[j, 1]: # A + A -> products + deriv = 2 * k * C[ir[j, 0]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= 2 * deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + else: # A + B -> products + # derivative with respect to n[A] + deriv = k * C[ir[j, 1]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= deriv + pd[ir[j, 1], ir[j, 0]] -= deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + # derivative with respect to n[B] + deriv = k * C[ir[j, 0]] * V / Omega[ir[j, 1]] + pd[ir[j, 0], ir[j, 1]] -= deriv + pd[ir[j, 1], ir[j, 1]] -= deriv + + pd[ip[j, 0], ir[j, 1]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 1]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 1]] += deriv + + else: # trimolecular forward + + if (ir[j, 0] == ir[j, 1]) and (ir[j, 0] == ir[j, 2]): # A+A+A + deriv = 3 * k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= 3 * deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + elif ir[j, 0] == ir[j, 1]: # A+A+B + # derivative with respect to n[A] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 2]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= 2 * deriv + pd[ir[j, 2], ir[j, 0]] -= deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + # derivative with respect to n[B] + deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 2]] + pd[ir[j, 0], ir[j, 2]] -= 2 * deriv + pd[ir[j, 2], ir[j, 2]] -= deriv + + pd[ip[j, 0], ir[j, 2]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 2]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 2]] += deriv + + elif ir[j, 1] == ir[j, 2]: # A+B+B + # derivative with respect to n[A] + deriv = k * C[ir[j, 1]] * C[ir[j, 1]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= deriv + pd[ir[j, 1], ir[j, 0]] -= 2 * deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + # derivative with respect to n[B] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 1]] + pd[ir[j, 0], ir[j, 1]] -= deriv + pd[ir[j, 1], ir[j, 1]] -= 2 * deriv + + pd[ip[j, 0], ir[j, 1]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 1]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 1]] += deriv + + elif ir[j, 0] == ir[j, 2]: # A+B+A + # derivative with respect to n[A] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= 2 * deriv + pd[ir[j, 1], ir[j, 0]] -= deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + # derivative with respect to n[B] + deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 1]] + pd[ir[j, 0], ir[j, 1]] -= 2 * deriv + pd[ir[j, 1], ir[j, 1]] -= deriv + + pd[ip[j, 0], ir[j, 1]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 1]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 1]] += deriv + + else: # A+B+C, all distinct + # derivative with respect to n[A] + deriv = k * C[ir[j, 1]] * C[ir[j, 2]] * V / Omega[ir[j, 0]] + pd[ir[j, 0], ir[j, 0]] -= deriv + pd[ir[j, 1], ir[j, 0]] -= deriv + pd[ir[j, 2], ir[j, 0]] -= deriv + + pd[ip[j, 0], ir[j, 0]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 0]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 0]] += deriv + + # derivative with respect to n[B] + deriv = k * C[ir[j, 0]] * C[ir[j, 2]] * V / Omega[ir[j, 1]] + pd[ir[j, 0], ir[j, 1]] -= deriv + pd[ir[j, 1], ir[j, 1]] -= deriv + pd[ir[j, 2], ir[j, 1]] -= deriv + + pd[ip[j, 0], ir[j, 1]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 1]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 1]] += deriv + + # derivative with respect to n[C] + deriv = k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 2]] + pd[ir[j, 0], ir[j, 2]] -= deriv + pd[ir[j, 1], ir[j, 2]] -= deriv + pd[ir[j, 2], ir[j, 2]] -= deriv + + pd[ip[j, 0], ir[j, 2]] += deriv + if ip[j, 1] != -1: + pd[ip[j, 1], ir[j, 2]] += deriv + if ip[j, 2] != -1: + pd[ip[j, 2], ir[j, 2]] += deriv + + # ------------------------------------------------------------------ + # Reverse reaction (ip <-> ir relative to forward block above) + # ------------------------------------------------------------------ + k = kr[j] + + if ip[j, 1] == -1: # unimolecular reverse + deriv = k * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + elif ip[j, 2] == -1: # bimolecular reverse + if ip[j, 0] == ip[j, 1]: # P+P -> reactants + deriv = 2 * k * C[ip[j, 0]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= 2 * deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + else: # P1+P2 -> reactants + # derivative with respect to n[P1] + deriv = k * C[ip[j, 1]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= deriv + pd[ip[j, 1], ip[j, 0]] -= deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + # derivative with respect to n[P2] + deriv = k * C[ip[j, 0]] * V / Omega[ip[j, 1]] + pd[ip[j, 0], ip[j, 1]] -= deriv + pd[ip[j, 1], ip[j, 1]] -= deriv + + pd[ir[j, 0], ip[j, 1]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 1]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 1]] += deriv + + else: # trimolecular reverse + + if (ip[j, 0] == ip[j, 1]) and (ip[j, 0] == ip[j, 2]): # P+P+P + deriv = 3 * k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= 3 * deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + elif ip[j, 0] == ip[j, 1]: # P1+P1+P2 + # derivative with respect to n[P1] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 2]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= 2 * deriv + pd[ip[j, 2], ip[j, 0]] -= deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + # derivative with respect to n[P2] + deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 2]] + pd[ip[j, 0], ip[j, 2]] -= 2 * deriv + pd[ip[j, 2], ip[j, 2]] -= deriv + + pd[ir[j, 0], ip[j, 2]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 2]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 2]] += deriv + + elif ip[j, 1] == ip[j, 2]: # P1+P2+P2 + # derivative with respect to n[P1] + deriv = k * C[ip[j, 1]] * C[ip[j, 1]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= deriv + pd[ip[j, 1], ip[j, 0]] -= 2 * deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + # derivative with respect to n[P2] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 1]] + pd[ip[j, 0], ip[j, 1]] -= deriv + pd[ip[j, 1], ip[j, 1]] -= 2 * deriv + + pd[ir[j, 0], ip[j, 1]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 1]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 1]] += deriv + + elif ip[j, 0] == ip[j, 2]: # P1+P2+P1 + # derivative with respect to n[P1] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= 2 * deriv + pd[ip[j, 1], ip[j, 0]] -= deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + # derivative with respect to n[P2] + deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 1]] + pd[ip[j, 0], ip[j, 1]] -= 2 * deriv + pd[ip[j, 1], ip[j, 1]] -= deriv + + pd[ir[j, 0], ip[j, 1]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 1]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 1]] += deriv + + else: # P1+P2+P3, all distinct + # derivative with respect to n[P1] + deriv = k * C[ip[j, 1]] * C[ip[j, 2]] * V / Omega[ip[j, 0]] + pd[ip[j, 0], ip[j, 0]] -= deriv + pd[ip[j, 1], ip[j, 0]] -= deriv + pd[ip[j, 2], ip[j, 0]] -= deriv + + pd[ir[j, 0], ip[j, 0]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 0]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 0]] += deriv + + # derivative with respect to n[P2] + deriv = k * C[ip[j, 0]] * C[ip[j, 2]] * V / Omega[ip[j, 1]] + pd[ip[j, 0], ip[j, 1]] -= deriv + pd[ip[j, 1], ip[j, 1]] -= deriv + pd[ip[j, 2], ip[j, 1]] -= deriv + + pd[ir[j, 0], ip[j, 1]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 1]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 1]] += deriv + + # derivative with respect to n[P3] + deriv = k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 2]] + pd[ip[j, 0], ip[j, 2]] -= deriv + pd[ip[j, 1], ip[j, 2]] -= deriv + pd[ip[j, 2], ip[j, 2]] -= deriv + + pd[ir[j, 0], ip[j, 2]] += deriv + if ir[j, 1] != -1: + pd[ir[j, 1], ip[j, 2]] += deriv + if ir[j, 2] != -1: + pd[ir[j, 2], ip[j, 2]] += deriv + + self.jacobian_matrix = pd + cj * np.identity(num_core_species, float) + return pd From 7c0c307264f2db950bc9c5f79661a578aa9350af Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 1 May 2026 10:55:27 -0400 Subject: [PATCH 504/700] Cache inv omega for faster jacobian execution the jacobian function was populating an array with 1/V or 1/A for each gas or surface species each time it called the jacobian. Now it caches the values. 1/V and 1/A do not change because it's a constant volume reactor, but the total number of core species could change as RMG grows the model, and this enables the use of cached values that get updated only as required --- rmgpy/solver/surface.pyx | 85 +++++++++++++++++++++++----------------- 1 file changed, 50 insertions(+), 35 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 7e24f811950..c5e90b53b53 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -70,6 +70,8 @@ cdef class SurfaceReactor(ReactionSystem): cdef public np.ndarray species_on_surface # (catalyst surface, not core/edge surface) cdef public np.ndarray thermo_coeff_matrix cdef public np.ndarray stoi_matrix + cdef public np.ndarray _jacobian_inv_omega + cdef public bint _jacobian_inv_omega_num_core_species cdef public bint coverage_dependence cdef public dict coverage_dependencies @@ -115,6 +117,8 @@ cdef class SurfaceReactor(ReactionSystem): self.constant_volume = True self.sens_conditions = sens_conditions self.n_sims = n_sims + self._jacobian_inv_omega = None # array of 1/V (gas-phase) or 1/A (surface-phase) for corresponding gas or surface species + self._jacobian_inv_omega_num_core_species = 0 self.coverage_dependencies = {} @@ -380,11 +384,15 @@ cdef class SurfaceReactor(ReactionSystem): i = self.get_species_index(spec) self.y0[i] = total_surface_sites * coverage # moles in reactor + # array of stored 1/V (gas-phase) or 1/A (surface-phase) for corresponding gas or surface species to help compute Jacobian + self._jacobian_inv_omega = np.full(self.num_core_species, 1.0 / V, dtype=np.float64) for j, isSurfaceSpecies in enumerate(self.species_on_surface): # should only go up to core species if isSurfaceSpecies: self.core_species_concentrations[j] = self.y0[j] / V / surface_volume_ratio_si # moles per m2 of surface + self._jacobian_inv_omega[j] = 1.0 / (V * surface_volume_ratio_si) else: self.core_species_concentrations[j] = self.y0[j] / V # moles per m3 of gas + self._jacobian_inv_omega_num_core_species = self.num_core_species def compute_network_variables(self, pdep_networks=None): # ToDo: this should allow pressure to vary? @@ -690,16 +698,23 @@ cdef class SurfaceReactor(ReactionSystem): V = self.V A = V * self.surface_volume_ratio.value_si # surface area in m^2 - # Per-species normalization: Omega[i] = A for surface species, V for gas - Omega = np.full(num_core_species, V, dtype=np.float64) - for i in range(num_core_species): - if self.species_on_surface[i]: - Omega[i] = A + # Cache inverse per-species normalization on the instance since + # species_on_surface is static for SurfaceReactor and V/A are constant + inv_omega = self._jacobian_inv_omega + cached_num_core_species = self._jacobian_inv_omega_num_core_species + + if cached_num_core_species != num_core_species: + inv_omega = np.full(num_core_species, 1.0 / V, dtype=np.float64) + for i in range(num_core_species): + if self.species_on_surface[i]: + inv_omega[i] = 1.0 / A + self._jacobian_inv_omega = inv_omega + self._jacobian_inv_omega_num_core_species = num_core_species # Concentrations — surface species in mol/m^2, gas in mol/m^3 C = np.zeros_like(self.core_species_concentrations) for j in range(num_core_species): - C[j] = y[j] / Omega[j] + C[j] = y[j] * inv_omega[j] for j in range(num_core_reactions): @@ -709,8 +724,8 @@ cdef class SurfaceReactor(ReactionSystem): k = kf[j] if ir[j, 1] == -1: # unimolecular forward - # deriv = k * V / Omega[s]; gas: k*1 = k; surface: k*V/A = k/svr - deriv = k * V / Omega[ir[j, 0]] + # deriv = k * V * inv_omega[s]; gas: k*1 = k; surface: k*V/A = k/svr + deriv = k * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= deriv pd[ip[j, 0], ir[j, 0]] += deriv @@ -721,7 +736,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ir[j, 2] == -1: # bimolecular forward if ir[j, 0] == ir[j, 1]: # A + A -> products - deriv = 2 * k * C[ir[j, 0]] * V / Omega[ir[j, 0]] + deriv = 2 * k * C[ir[j, 0]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= 2 * deriv pd[ip[j, 0], ir[j, 0]] += deriv @@ -732,7 +747,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # A + B -> products # derivative with respect to n[A] - deriv = k * C[ir[j, 1]] * V / Omega[ir[j, 0]] + deriv = k * C[ir[j, 1]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= deriv pd[ir[j, 1], ir[j, 0]] -= deriv @@ -743,7 +758,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 0]] += deriv # derivative with respect to n[B] - deriv = k * C[ir[j, 0]] * V / Omega[ir[j, 1]] + deriv = k * C[ir[j, 0]] * V * inv_omega[ir[j, 1]] pd[ir[j, 0], ir[j, 1]] -= deriv pd[ir[j, 1], ir[j, 1]] -= deriv @@ -756,7 +771,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # trimolecular forward if (ir[j, 0] == ir[j, 1]) and (ir[j, 0] == ir[j, 2]): # A+A+A - deriv = 3 * k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 0]] + deriv = 3 * k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= 3 * deriv pd[ip[j, 0], ir[j, 0]] += deriv @@ -767,7 +782,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ir[j, 0] == ir[j, 1]: # A+A+B # derivative with respect to n[A] - deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 2]] * V / Omega[ir[j, 0]] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 2]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= 2 * deriv pd[ir[j, 2], ir[j, 0]] -= deriv @@ -778,7 +793,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 0]] += deriv # derivative with respect to n[B] - deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 2]] + deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 2]] pd[ir[j, 0], ir[j, 2]] -= 2 * deriv pd[ir[j, 2], ir[j, 2]] -= deriv @@ -790,7 +805,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ir[j, 1] == ir[j, 2]: # A+B+B # derivative with respect to n[A] - deriv = k * C[ir[j, 1]] * C[ir[j, 1]] * V / Omega[ir[j, 0]] + deriv = k * C[ir[j, 1]] * C[ir[j, 1]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= deriv pd[ir[j, 1], ir[j, 0]] -= 2 * deriv @@ -801,7 +816,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 0]] += deriv # derivative with respect to n[B] - deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 1]] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 1]] pd[ir[j, 0], ir[j, 1]] -= deriv pd[ir[j, 1], ir[j, 1]] -= 2 * deriv @@ -813,7 +828,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ir[j, 0] == ir[j, 2]: # A+B+A # derivative with respect to n[A] - deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 0]] + deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= 2 * deriv pd[ir[j, 1], ir[j, 0]] -= deriv @@ -824,7 +839,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 0]] += deriv # derivative with respect to n[B] - deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V / Omega[ir[j, 1]] + deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 1]] pd[ir[j, 0], ir[j, 1]] -= 2 * deriv pd[ir[j, 1], ir[j, 1]] -= deriv @@ -836,7 +851,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # A+B+C, all distinct # derivative with respect to n[A] - deriv = k * C[ir[j, 1]] * C[ir[j, 2]] * V / Omega[ir[j, 0]] + deriv = k * C[ir[j, 1]] * C[ir[j, 2]] * V * inv_omega[ir[j, 0]] pd[ir[j, 0], ir[j, 0]] -= deriv pd[ir[j, 1], ir[j, 0]] -= deriv pd[ir[j, 2], ir[j, 0]] -= deriv @@ -848,7 +863,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 0]] += deriv # derivative with respect to n[B] - deriv = k * C[ir[j, 0]] * C[ir[j, 2]] * V / Omega[ir[j, 1]] + deriv = k * C[ir[j, 0]] * C[ir[j, 2]] * V * inv_omega[ir[j, 1]] pd[ir[j, 0], ir[j, 1]] -= deriv pd[ir[j, 1], ir[j, 1]] -= deriv pd[ir[j, 2], ir[j, 1]] -= deriv @@ -860,7 +875,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ip[j, 2], ir[j, 1]] += deriv # derivative with respect to n[C] - deriv = k * C[ir[j, 0]] * C[ir[j, 1]] * V / Omega[ir[j, 2]] + deriv = k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 2]] pd[ir[j, 0], ir[j, 2]] -= deriv pd[ir[j, 1], ir[j, 2]] -= deriv pd[ir[j, 2], ir[j, 2]] -= deriv @@ -877,7 +892,7 @@ cdef class SurfaceReactor(ReactionSystem): k = kr[j] if ip[j, 1] == -1: # unimolecular reverse - deriv = k * V / Omega[ip[j, 0]] + deriv = k * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= deriv pd[ir[j, 0], ip[j, 0]] += deriv @@ -888,7 +903,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ip[j, 2] == -1: # bimolecular reverse if ip[j, 0] == ip[j, 1]: # P+P -> reactants - deriv = 2 * k * C[ip[j, 0]] * V / Omega[ip[j, 0]] + deriv = 2 * k * C[ip[j, 0]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= 2 * deriv pd[ir[j, 0], ip[j, 0]] += deriv @@ -899,7 +914,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # P1+P2 -> reactants # derivative with respect to n[P1] - deriv = k * C[ip[j, 1]] * V / Omega[ip[j, 0]] + deriv = k * C[ip[j, 1]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= deriv pd[ip[j, 1], ip[j, 0]] -= deriv @@ -910,7 +925,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 0]] += deriv # derivative with respect to n[P2] - deriv = k * C[ip[j, 0]] * V / Omega[ip[j, 1]] + deriv = k * C[ip[j, 0]] * V * inv_omega[ip[j, 1]] pd[ip[j, 0], ip[j, 1]] -= deriv pd[ip[j, 1], ip[j, 1]] -= deriv @@ -923,7 +938,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # trimolecular reverse if (ip[j, 0] == ip[j, 1]) and (ip[j, 0] == ip[j, 2]): # P+P+P - deriv = 3 * k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 0]] + deriv = 3 * k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= 3 * deriv pd[ir[j, 0], ip[j, 0]] += deriv @@ -934,7 +949,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ip[j, 0] == ip[j, 1]: # P1+P1+P2 # derivative with respect to n[P1] - deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 2]] * V / Omega[ip[j, 0]] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 2]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= 2 * deriv pd[ip[j, 2], ip[j, 0]] -= deriv @@ -945,7 +960,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 0]] += deriv # derivative with respect to n[P2] - deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 2]] + deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 2]] pd[ip[j, 0], ip[j, 2]] -= 2 * deriv pd[ip[j, 2], ip[j, 2]] -= deriv @@ -957,7 +972,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ip[j, 1] == ip[j, 2]: # P1+P2+P2 # derivative with respect to n[P1] - deriv = k * C[ip[j, 1]] * C[ip[j, 1]] * V / Omega[ip[j, 0]] + deriv = k * C[ip[j, 1]] * C[ip[j, 1]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= deriv pd[ip[j, 1], ip[j, 0]] -= 2 * deriv @@ -968,7 +983,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 0]] += deriv # derivative with respect to n[P2] - deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 1]] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 1]] pd[ip[j, 0], ip[j, 1]] -= deriv pd[ip[j, 1], ip[j, 1]] -= 2 * deriv @@ -980,7 +995,7 @@ cdef class SurfaceReactor(ReactionSystem): elif ip[j, 0] == ip[j, 2]: # P1+P2+P1 # derivative with respect to n[P1] - deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 0]] + deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= 2 * deriv pd[ip[j, 1], ip[j, 0]] -= deriv @@ -991,7 +1006,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 0]] += deriv # derivative with respect to n[P2] - deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V / Omega[ip[j, 1]] + deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 1]] pd[ip[j, 0], ip[j, 1]] -= 2 * deriv pd[ip[j, 1], ip[j, 1]] -= deriv @@ -1003,7 +1018,7 @@ cdef class SurfaceReactor(ReactionSystem): else: # P1+P2+P3, all distinct # derivative with respect to n[P1] - deriv = k * C[ip[j, 1]] * C[ip[j, 2]] * V / Omega[ip[j, 0]] + deriv = k * C[ip[j, 1]] * C[ip[j, 2]] * V * inv_omega[ip[j, 0]] pd[ip[j, 0], ip[j, 0]] -= deriv pd[ip[j, 1], ip[j, 0]] -= deriv pd[ip[j, 2], ip[j, 0]] -= deriv @@ -1015,7 +1030,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 0]] += deriv # derivative with respect to n[P2] - deriv = k * C[ip[j, 0]] * C[ip[j, 2]] * V / Omega[ip[j, 1]] + deriv = k * C[ip[j, 0]] * C[ip[j, 2]] * V * inv_omega[ip[j, 1]] pd[ip[j, 0], ip[j, 1]] -= deriv pd[ip[j, 1], ip[j, 1]] -= deriv pd[ip[j, 2], ip[j, 1]] -= deriv @@ -1027,7 +1042,7 @@ cdef class SurfaceReactor(ReactionSystem): pd[ir[j, 2], ip[j, 1]] += deriv # derivative with respect to n[P3] - deriv = k * C[ip[j, 0]] * C[ip[j, 1]] * V / Omega[ip[j, 2]] + deriv = k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 2]] pd[ip[j, 0], ip[j, 2]] -= deriv pd[ip[j, 1], ip[j, 2]] -= deriv pd[ip[j, 2], ip[j, 2]] -= deriv From 759d1551259df6ee51c98d7aa120c46d2ae7f865 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 1 May 2026 16:14:58 -0400 Subject: [PATCH 505/700] add SurfaceReactor jacobian test with finite differences --- test/rmgpy/solver/solverSurfaceTest.py | 221 +++++++++++++++++++++++++ 1 file changed, 221 insertions(+) diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index d4af80264f4..1e484f916f1 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -39,9 +39,151 @@ from rmgpy.solver.surface import SurfaceReactor from rmgpy.species import Species from rmgpy.thermo import ThermoData, NASA, NASAPolynomial +from rmgpy.solver.termination import TerminationTime +from rmgpy.rmg.settings import ModelSettings, SimulatorSettings +def get_i_thing(thing, thing_list): + for i in range(len(thing_list)): + if thing.is_isomorphic(thing_list[i]): + return i + return -1 + class SurfaceReactorTest: + def setup_class(self): + # Define a simple surface mechanism that we can use for testing + # This is faster than loading in chemkin + self.species_list = [ + Species( + molecule=[Molecule().from_smiles("[Ar]")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,4.37967], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,4.37967], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("[Ne]")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,3.35532], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,3.35532], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("N#N")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.53101,-0.000123661,-5.02999e-07,2.43531e-09,-1.40881e-12,-1046.98,2.96747], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.95258,0.0013969,-4.92632e-07,7.8601e-11,-4.60755e-15,-923.949,5.87189], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("C")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[4.20542,-0.00535559,2.51124e-05,-2.13763e-08,5.97526e-12,-10161.9,-0.921283], Tmin=(100,'K'), Tmax=(1084.12,'K')), NASAPolynomial(coeffs=[0.908259,0.0114541,-4.57174e-06,8.29193e-10,-5.66316e-14,-9719.97,13.9931], Tmin=(1084.12,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("[O][O]")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.53732,-0.00121572,5.3162e-06,-4.89446e-09,1.45846e-12,-1038.59,4.68368], Tmin=(100,'K'), Tmax=(1074.55,'K')), NASAPolynomial(coeffs=[3.15382,0.00167804,-7.69974e-07,1.51275e-10,-1.08782e-14,-1040.82,6.16756], Tmin=(1074.55,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("O")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[4.05764,-0.000787929,2.90875e-06,-1.47516e-09,2.12833e-13,-30281.6,-0.311362], Tmin=(100,'K'), Tmax=(1130.23,'K')), NASAPolynomial(coeffs=[2.84325,0.00275108,-7.81028e-07,1.07243e-10,-5.79385e-15,-29958.6,5.9104], Tmin=(1130.23,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("[H][H]")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.43536,0.000212712,-2.78629e-07,3.4027e-10,-7.76039e-14,-1031.36,-3.90842], Tmin=(100,'K'), Tmax=(1959.07,'K')), NASAPolynomial(coeffs=[2.78819,0.000587616,1.59022e-07,-5.52763e-11,4.34328e-15,-596.156,0.112618], Tmin=(1959.07,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""), + ), + Species( + molecule=[Molecule().from_smiles("*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[0,0,0,0,0,0,0], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[0,0,0,0,0,0,0], Tmin=(1000,'K'), Tmax=(3000,'K'))], Tmin=(298,'K'), Tmax=(3000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[H]*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.0757,0.0173581,-2.60921e-05,1.89282e-08,-5.38836e-12,-3166.19,8.15362], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.72248,-0.00106817,1.98654e-06,-1.12048e-09,2.09812e-13,-4218.24,-15.3207], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[O]=*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-0.294476,0.0144163,-2.61323e-05,2.19006e-08,-6.98019e-12,-16461.9,-0.199446], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.90245,-0.000338584,6.43373e-07,-3.66327e-10,6.90094e-14,-17049.7,-15.256], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[CH3]*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-0.0444549,0.0194368,-1.91029e-05,1.11269e-08,-2.73736e-12,-6388.04,-0.173376], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[8.65705,-0.00790308,1.401e-05,-7.40016e-09,1.31517e-12,-8635.99,-44.3353], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[H][H].*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.86406,0.000753456,-1.65571e-06,1.55223e-09,-4.46782e-13,-1689.28,-8.85807], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[4.0688,-0.000495807,6.59234e-07,-1.72598e-10,7.62965e-15,-1700.7,-9.71918], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[OH]*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[1.4236,0.015783,-2.91659e-05,2.50433e-08,-8.04088e-12,-18999.3,-3.1523], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[5.03574,-0.00134422,2.25916e-06,-1.08548e-09,1.77876e-13,-19634.4,-20.0345], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("O.*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.72971,0.00871052,-1.29132e-05,1.07295e-08,-3.39434e-12,-32612.7,-6.0448], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[5.85496,-0.00328847,5.56991e-06,-2.73008e-09,4.55898e-13,-33304.6,-21.3518], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[CH2]=*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.23007,0.0292223,-4.33155e-05,3.31428e-08,-9.96471e-12,-222.256,8.30173], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[6.8346,-0.00514926,9.15491e-06,-4.84917e-09,8.63767e-13,-2258.98,-36.2215], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[CH]#*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.66805,0.0290693,-4.82654e-05,3.87589e-08,-1.19749e-11,-2918.16,9.72941], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[4.9043,-0.00263865,4.71729e-06,-2.51267e-09,4.49659e-13,-4464.41,-26.7108], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ), + Species( + molecule=[Molecule().from_smiles("[C]$*")], + thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-1.94351,0.0197767,-3.36337e-05,2.69027e-08,-8.27959e-12,7000.57,7.1747], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.81347,-0.000693952,1.30308e-06,-7.387e-10,1.38796e-13,6060.03,-15.5738], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""), + ) + ] + X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("*")]), self.species_list)] + O2 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[O][O]")]), self.species_list)] + OX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O=*")]), self.species_list)] + H2 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[H][H]")]), self.species_list)] + HX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[H]*")]), self.species_list)] + CH4 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("C")]), self.species_list)] + CH3X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("C*")]), self.species_list)] + OHX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[OH]*")]), self.species_list)] + H2O = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O")]), self.species_list)] + H2OX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O.*")]), self.species_list)] + CHX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[CH]#*")]), self.species_list)] + CH2X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[CH2]=*")]), self.species_list)] + + self.reaction_list = [ + Reaction( + reactants=[X, X, O2], + products=[OX, OX], + kinetics=StickingCoefficient(A=0.07, n=0, Ea=(0,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[X, X, H2], + products=[HX, HX], + kinetics=StickingCoefficient(A=0.046, n=0, Ea=(0,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[HX, CH3X], + products=[X, X, CH4], + kinetics=SurfaceArrhenius(A=(3.3e+21,'cm^2/(mol*s)'), n=0, Ea=(11.95,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[X, OHX], + products=[OX, HX], + kinetics=SurfaceArrhenius(A=(7.39e+19,'cm^2/(mol*s)'), n=0, Ea=(18.475,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[X, H2O], + products=[H2OX], + kinetics=StickingCoefficient(A=0.75, n=0, Ea=(0,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[X, H2OX], + products=[HX, OHX], + kinetics=SurfaceArrhenius(A=(1.15e+19,'cm^2/(mol*s)'), n=0, Ea=(24.235,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[OHX, CHX], + products=[OX, CH2X], + kinetics=SurfaceArrhenius(A=(4.4e+22,'cm^2/(mol*s)'), n=0.101, Ea=(10.143,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[OHX, CH2X], + products=[OX, CH3X], + kinetics=SurfaceArrhenius(A=(1.39e+21,'cm^2/(mol*s)'), n=0.101, Ea=(4.541,'kcal/mol'), T0=(1,'K')) + ), + Reaction( + reactants=[X, OX, CH4], + products=[OHX, CH3X], + kinetics=SurfaceArrhenius(A=(5e+18,'cm^4/(mol^2*s)'), n=0.7, Ea=(10.038,'kcal/mol'), T0=(1,'K')) + ) + ] + def test_solve_h2(self): """ Test the surface batch reactor with a dissociative adsorption of H2 @@ -1175,3 +1317,82 @@ def test_solve_ch3_thermo_coverage_dependence(self): # Check that coverages are different assert not np.allclose(y, y_off) assert not np.allclose(species_rates, species_rates_off) + + def test_jacobian_with_finite_differences(self): + + # make a simple mechanism + x_O2 = 3e-5 + x_CH4 = 1e-5 + T = (900, 'K') + P = (1, 'atm') + + surface_volume_ratio = (1.0, "m^-1") # TODO, try higher surface volume ratios + surface_site_density = (2.483e-8, "kmol/m^2") # read from Cantera yaml just to be sure these match + termination = TerminationTime((1.0, 's')) + + + Ar = self.species_list[get_i_thing(Species(smiles='[Ar]'), self.species_list)] + CH4 = self.species_list[get_i_thing(Species(smiles='C'), self.species_list)] + CO2 = self.species_list[get_i_thing(Species(smiles='O=C=O'), self.species_list)] + O2 = self.species_list[get_i_thing(Species(smiles='[O][O]'), self.species_list)] + X = self.species_list[get_i_thing(Species(smiles='*'), self.species_list)] + + initial_gas_mole_fractions = {O2: x_O2, CH4: x_CH4, Ar: 1.0 - x_O2 - x_CH4} + initial_surface_coverages = {X: 1.0} + sensitive_species = [CO2] + + reaction_system = SurfaceReactor( + T, + P, + n_sims=1, + initial_gas_mole_fractions=initial_gas_mole_fractions, + initial_surface_coverages=initial_surface_coverages, + surface_volume_ratio=surface_volume_ratio, + surface_site_density=surface_site_density, + termination=[termination], + sensitive_species=sensitive_species, + ) + + # Need to list some sens_worksheets so this doesn't crash when sensitivity is turned on + reaction_system.simulate( + core_species=self.species_list, + core_reactions=self.reaction_list, + edge_species=[], + edge_reactions=[], + surface_species=[], + surface_reactions=[], + model_settings=ModelSettings(tol_move_to_core=1e5), # tol_move_to_core isn't set by default which causes an error + simulator_settings=SimulatorSettings(), # defaults + sensitivity=True, + sens_worksheet=['temp_sensitivity.csv'], + ) + + # now comapare the jacobian to a finite difference approximation of the jacobian for the sensitive species + t = reaction_system.t + y = reaction_system.y + dydt = reaction_system.dydt + + J_analytical = reaction_system.jacobian(t, y, dydt, cj=0.0) + + # turn off sensitivity so that it only handles the first n values of y and doesn't get bogged + # down in all the partial derivatives that get stored in y for sensitivity calculations + reaction_system.sensitivity = False + + n = reaction_system.num_core_species + eps_machine = np.sqrt(np.finfo(float).eps) + n_scale = 1e-10 + + # Get baseline residual f(n) + f0, _ = reaction_system.residual(t, y[:n], dydt[:n]) + + # Build finite difference Jacobian by column + J_fd = np.zeros((n, n)) + for s in range(n): + y_perturbed = y.copy() + delta_n_s = eps_machine * max(abs(y[s]), n_scale) # figure out how much to perturb the value + y_perturbed[s] += delta_n_s # add \Delta n_s + + f_perturbed, _ = reaction_system.residual(t, y_perturbed[:n], dydt[:n]) + J_fd[:, s] = (f_perturbed - f0) / delta_n_s + + assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6) From 9ec98bec71dd41000e0e47375c8716a2c2987359 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 4 May 2026 15:15:33 -0400 Subject: [PATCH 506/700] specify units for V, A, and total sites in SurfaceReactor comments --- rmgpy/solver/surface.pyx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index c5e90b53b53..22272c4bf07 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -475,9 +475,9 @@ cdef class SurfaceReactor(ReactionSystem): surface_volume_ratio_si = self.surface_volume_ratio.value_si C = np.zeros_like(self.core_species_concentrations) - V = self.V # constant volume reactor - A = self.V * surface_volume_ratio_si # area - total_sites = self.surface_site_density.value_si * A # todo: double check units + V = self.V # constant volume reactor in m^3 + A = self.V * surface_volume_ratio_si # area in m^2 + total_sites = self.surface_site_density.value_si * A # moles of sites for j in range(num_core_species): if species_on_surface[j]: C[j] = (N[j] / V) / surface_volume_ratio_si From df0d37ac301f9dc1ec5daf92eb93fb4c9debb220 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 7 May 2026 12:17:50 -0400 Subject: [PATCH 507/700] Undo separate handling of autogen trees in uncertainty Earlier attempts tried to fit the autogenerated trees into this uncertainty framework by retrieving information from the tree nodes about the number of training reactions and leave-one-out variance. This caused major problems when trying to compute covariance matrices because you had to choose between using the BM node variance or the uncertainty framework's Delta lnk = 0.5 assumption. The new plan is to compute an empirical covariance matrix of the BM nodes and integrate this into a new, more generalized framework. But this separate handling of the trees has to be undone first to validate that the two frameworks produce identical results. --- rmgpy/tools/uncertainty.py | 71 +++++++---------------------- test/rmgpy/tools/uncertaintyTest.py | 2 +- 2 files changed, 18 insertions(+), 55 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 75b150db48b..ef75b248b30 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -198,39 +198,23 @@ def get_uncertainty_value(self, source): varlnk += self.dlnk_family * self.dlnk_family N = len(rule_weights) + len(training_weights) - if 'node_std_dev' in source_dict: - # Handle autogen BM trees - if source_dict['node_std_dev'] < 0: - raise ValueError('Invalid value for std dev of kinetics family rule node') - varlnk += np.float_power(source_dict['node_std_dev'], 2.0) - if source_dict['node_n_train'] is None: - raise ValueError('Invalid number of training reactions for kinetics family rule node') - N = source_dict['node_n_train'] - - # Technically every lookup in the autogenerated trees is an "exact" match because - # every node template has its own fitted rate rule by definition, but here we use the - # number of training reactions as an approximation of the node's specificity/generality - # and add a penalty for being too general (large # of training reactions) - varlnk += (np.log10(N + 1) * self.dlnk_nonexact) ** 2 - else: - # Handle hand-made trees - if not exact: - # nonexactness contribution increases as N increases - varlnk += (np.log10(N + 1) * self.dlnk_nonexact) ** 2 + if not exact: + # nonexactness contribution increases as N increases + varlnk += (np.log10(N + 1) * self.dlnk_nonexact) * (np.log10(N + 1) * self.dlnk_nonexact) - if 'surface' in family_label.lower(): - varlnk += np.sum([weight * weight * self.dlnk_surf_rule * self.dlnk_surf_rule for weight in rule_weights]) - varlnk += np.sum([weight * weight * self.dlnk_surf_training * self.dlnk_surf_training for weight in training_weights]) - else: - # Add the contributions from rules - varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in rule_weights]) - # Add the contributions from training - # Even though these source from training reactions, we actually - # use the uncertainty for rate rules, since these are now approximations - # of the original reaction. We consider these to be independent of original the training - # parameters because the rate rules may be reversing the training reactions, - # which leads to more complicated dependence - varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in training_weights]) + if 'surface' in family_label.lower(): + varlnk += np.sum([weight * weight * self.dlnk_surf_rule * self.dlnk_surf_rule for weight in rule_weights]) + varlnk += np.sum([weight * weight * self.dlnk_surf_training * self.dlnk_surf_training for weight in training_weights]) + else: + # Add the contributions from rules + varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in rule_weights]) + # Add the contributions from training + # Even though these source from training reactions, we actually + # use the uncertainty for rate rules, since these are now approximations + # of the original reaction. We consider these to be independent of original the training + # parameters because the rate rules may be reversing the training reactions, + # which leads to more complicated dependence + varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in training_weights]) return np.sqrt(varlnk) @@ -546,28 +530,7 @@ def extract_sources_from_model(self): # Do nothing here because training source already saves the entry from the training reaction pass elif 'Rate Rules' in source: - # Fetch standard deviation if autogenerated tree - if source['Rate Rules'][1]['autogenerated']: - std_dev = 1.329 # Default value is uniform distribution with upper bound of 10x the nominal value - n_train = None - try: - # try to look up the node variance in the rule data's uncertainty object - std_dev = np.sqrt(source['Rate Rules'][1]['rules'][0][0].data.uncertainty.var) - n_train = int(source['Rate Rules'][1]['rules'][0][0].data.uncertainty.N) - except AttributeError: - # fall back on the standard deviation reported in the long description of the rule - # this is the absolute average deviation and not the standard deviation of the node, but it is still probably better than the default - # note, we'd need abs(mu) to be able to convert back to std_dev from absolute average deviation, which is why we're not doing it here - long_desc = source['Rate Rules'][1]['rules'][0][0].long_desc - # This search string handles scientific notation or regular float with optional + or - sign - std_dev_matches = re.search(r'Standard Deviation in ln\(k\): ([-+]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][-+]?\d+)?)', long_desc) - if std_dev_matches is not None: - std_dev = float(std_dev_matches[1]) - n_train_matches = re.search('rule fitted to ([0-9]*) training reactions', long_desc) - if n_train_matches is not None: - n_train = int(n_train_matches[1]) - source['Rate Rules'][1]['node_std_dev'] = std_dev - source['Rate Rules'][1]['node_n_train'] = n_train + pass else: raise Exception('Source of kinetics must be either Library, PDep, Training, or Rate Rules') self.reaction_sources_dict[reaction] = source diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 14a4e26f37a..3bb472efd6e 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -174,7 +174,7 @@ def test_uncertainty_assignment(self): ) np.testing.assert_allclose( kinetic_unc, - [0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 5.9369, 5.9369, 0.5], + [0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 1.5363, 1.5363, 0.5], rtol=1e-4 ) From c28b1df88119a22ded390e9c2b7e9970c7ce10fc Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 7 May 2026 15:19:22 -0400 Subject: [PATCH 508/700] add local analysis test for uncertainty --- .../chemDir/solver/sensitivity_1_SPC_18.csv | 6 + test/rmgpy/tools/uncertaintyTest.py | 120 +++++++++++++++++- 2 files changed, 125 insertions(+), 1 deletion(-) create mode 100644 test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv diff --git a/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv b/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv new file mode 100644 index 00000000000..6cd25bd13a1 --- /dev/null +++ b/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv @@ -0,0 +1,6 @@ +Time (s),dln[C2H6(18)]/dln[k1]: O(0)+H2O2(3)<=>OH(1)+HO2(2),dln[C2H6(18)]/dln[k2]: CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17),dln[C2H6(18)]/dln[k3]: C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19),dln[C2H6(18)]/dln[k4]: C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15),dln[C2H6(18)]/dln[k5]: CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15),dln[C2H6(18)]/dln[k6]: CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12),dln[C2H6(18)]/dln[k7]: HCCO(10)(+M)<=>O(0)+C2H(8)(+M),dln[C2H6(18)]/dln[k8]: C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22),dln[C2H6(18)]/dln[k9]: C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22),dln[C2H6(18)]/dln[k10]: CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11),dln[C2H6(18)]/dG[C2H6(18)],dln[C2H6(18)]/dG[CH4(16)],dln[C2H6(18)]/dG[CH2(5)],dln[C2H6(18)]/dG[CH(4)],dln[C2H6(18)]/dG[C2H3(20)],dln[C2H6(18)]/dG[CH3(14)],dln[C2H6(18)]/dG[C2H4(11)],dln[C2H6(18)]/dG[C2H5(12)] +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +2.74888478006841E-18,-2.54948202221999E-16,-2.09986641193727E-28,-1.68177517988414E-18,9.47815581205925E-43,-4.74240993812363E-29,1.56391028678446E-54,6.05624693198534E-47,-1.10008312605422E-28,3.64619470520282E-56,-3.31477117062407E-66,-9.93392859924497E-17,-9.89301193768683E-48,6.51000897308177E-19,6.51000897344892E-19,1.83574663375722E-29,-4.06622729584823E-53,3.06108016791651E-49,4.22004499424344E-59 +1E-12,-9.27460693505743E-11,-2.0460917755381E-17,-6.1181805764998E-13,3.40947333001306E-26,-4.62135447625443E-18,1.34821506115326E-32,2.66263273777064E-30,-1.07185782928551E-17,3.14317510387031E-34,-7.91446790404999E-39,-3.61380457995889E-11,-2.37250016862895E-31,2.36827788154325E-13,2.36831365928509E-13,1.78888709197875E-18,-8.03285951906872E-37,7.34152354170913E-33,2.43214792225303E-37 +6.14209255203048E-06,-0.0108552687245762,-0.00977366113631576,0.000596136582961715,0.00200221535342703,-0.00846755042343432,0.00013450902403258,0.000108628449374283,-0.00628567915883179,8.65139619102715E-05,-1.74774283067548E-05,-0.00452281325424481,1.26216421675667E-05,-0.00328956503163016,0.00347689688022537,0.00337489330053554,-8.94698376820376E-06,2.89680320928337E-06,6.86042557778715E-07 +0.000511952119227999,-0.259795045759184,-0.127199037182731,0.201488393268386,0.147536983612322,-0.0820373529691973,0.0227660362837704,0.0633512248907625,-0.692292464491573,0.0214205601994878,-0.0568546779535624,-0.119942334769817,0.0416873316334017,-0.146923796990328,0.184660504897779,0.142566434880232,-0.0247332248569192,0.00807885139388224,0.00380827975950797 diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 3bb472efd6e..3632d7d7dc8 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -48,8 +48,10 @@ def setup_class(cls): chemkin_file = os.path.join(chem_dir, "chem_annotated.inp") spc_dict = os.path.join(chem_dir, "species_dictionary.txt") - cls.uncertainty = Uncertainty(output_directory="chemDir") + cls.uncertainty = Uncertainty(output_directory=os.path.abspath(os.path.join(os.path.dirname(__file__), "chemDir"))) cls.uncertainty.load_model(chemkin_file, spc_dict) + for i in range(len(cls.uncertainty.species_list)): + cls.uncertainty.species_list[i].index = i # local analysis depends on species being indexed # load database properly cls.uncertainty.database = RMGDatabase() @@ -178,6 +180,122 @@ def test_uncertainty_assignment(self): rtol=1e-4 ) + def test_local_analysis(self): + """ + Test to run uncorrelated and then correlated local_analysis and make sure the results are expected + """ + # variances are listed in decreasing order + # names are listed in order of decreasing variance contribution + expected_uncorrelated_total_variance = 1.8329056941266446 + expected_uncorrelated_thermo_variances = np.array([0.17092419, 0.09781627, 0.06186124, 0.04856985, 0.00391013, 0.00306632, 0.00041446, 9.953e-05]) + expected_uncorrelated_kinetics_variances = np.array([1.1311145, 0.15888459, 0.085189, 0.02022449, 0.01687337, 0.01605351, 0.01588366, 0.0010829, 0.00080811, 0.00012957]) + expected_correlated_total_variance = 3.006637059881831 + expected_correlated_thermo_variances = np.array([0.09145902, 0.07672388, 0.04856985, 0.04573167, 0.03236887, 0.01747643, 0.01098087, 0.00143231, 0.0013764, 0.00031352, 0.00028968, 0.00014685, 0.0001338, 3.263e-05]) + expected_correlated_kinetics_variances = np.array([2.0212174, 0.28939964, 0.15516713, 0.11981721, 0.02838292, 0.01687337, 0.0161796, 0.01605351, 0.0040449, 0.00253735, 0.00253735, 0.00193506, 0.00168253, 0.00136045, 0.00136045, 0.00080811, 0.00012957, 0.00011471]) + expected_uncorrelated_thermo_labels = [ + 'dln[C2H6(18)]/dG[CH(4)]', + 'dln[C2H6(18)]/dG[C2H3(20)]', + 'dln[C2H6(18)]/dG[C2H6(18)]', + 'dln[C2H6(18)]/dG[CH2(5)]', + 'dln[C2H6(18)]/dG[CH4(16)]', + 'dln[C2H6(18)]/dG[CH3(14)]', + 'dln[C2H6(18)]/dG[C2H4(11)]', + 'dln[C2H6(18)]/dG[C2H5(12)]', + ] + expected_uncorrelated_kinetics_labels = [ + 'k8: C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', + 'k3: C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', + 'k4: C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'k2: CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', + 'k1: O(0)+H2O2(3)<=>OH(1)+HO2(2)', + 'k7: HCCO(10)(+M)<=>O(0)+C2H(8)(+M)', + 'k5: CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', + 'k9: C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', + 'k10: CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)', + 'k6: CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)', + ] + expected_correlated_thermo_labels = [ + 'Library CH4(16)', + 'Estimation CH(4)', + 'Library CH2(5)', + 'Estimation C2H3(20)', + 'Estimation C2H6(18)', + 'Group(radical) CJ3', + 'Group(radical) CCJ', + 'Group(group) Cs-CsHHH', + 'Estimation CH3(14)', + 'Group(radical) CH3', + 'Group(other) R', + 'Estimation C2H4(11)', + 'Group(group) Cds-CdsHH', + 'Estimation C2H5(12)', + ] + expected_correlated_kinetics_labels = [ + 'Estimation C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', + 'Estimation C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', + 'Estimation C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'Disproportionation Root_Ext-2R!H-R_2R!H->C_4R->C', + 'Estimation CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', + 'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)', + 'Estimation CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', + 'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)', + 'H_Abstraction C/H3/Cs;C_methyl', + 'H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O', + 'H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H3', + 'Estimation C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', + 'H_Abstraction C/H3/Cs\\H2\\O;C_methyl', + 'H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', + 'H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs', + 'Training Disproportionation CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)', + 'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)', + 'Disproportionation Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C', + ] + + sensitive_species = [self.uncertainty.species_list[18]] + + # uncorrelated analysis first + self.uncertainty.assign_parameter_uncertainties() + output = self.uncertainty.local_analysis(sensitive_species=sensitive_species) + total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]] + assert np.isclose(total_variance, expected_uncorrelated_total_variance) + + # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution + kinetic_variances = [r[2] for r in kinetic_uncertainty] + kinetics_names = [r[0] for r in kinetic_uncertainty] + sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1] + sorted_kinetic_variances = sorted(kinetic_variances, reverse=True) + assert np.isclose(sorted_kinetic_variances, expected_uncorrelated_kinetics_variances).all() + assert sorted_kinetics_names == expected_uncorrelated_kinetics_labels + + thermo_variances = [s[2] for s in thermo_uncertainty] + thermo_names = [s[0] for s in thermo_uncertainty] + sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1] + sorted_thermo_variances = sorted(thermo_variances, reverse=True) + assert np.isclose(sorted_thermo_variances, expected_uncorrelated_thermo_variances).all() + assert sorted_thermo_names == expected_uncorrelated_thermo_labels + + # now repeat for correlated analysis + self.uncertainty.assign_parameter_uncertainties(correlated=True) + output = self.uncertainty.local_analysis(sensitive_species=sensitive_species, correlated=True) + total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]] + assert np.isclose(total_variance, expected_correlated_total_variance) + + # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution + kinetic_variances = [r[2] for r in kinetic_uncertainty] + kinetics_names = [r[0] for r in kinetic_uncertainty] + sorted_kinetic_variances = sorted(kinetic_variances, reverse=True) + sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1] + assert np.isclose(sorted_kinetic_variances, expected_correlated_kinetics_variances).all() + assert sorted_kinetics_names == expected_correlated_kinetics_labels + + thermo_variances = [s[2] for s in thermo_uncertainty] + thermo_names = [s[0] for s in thermo_uncertainty] + sorted_thermo_variances = sorted(thermo_variances, reverse=True) + sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1] + assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all() + assert sorted_thermo_names == expected_correlated_thermo_labels + + def test_specific_species_uncertainties(self): """ Test uncertainties for a few specific examples From 9c92f1c5b9f58486a5e489d8976f15dc67aa6f05 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 8 May 2026 10:23:48 -0400 Subject: [PATCH 509/700] uncertainty: add Rate Rule prefix before each rule entry This will make it easier to parse the uncertainty source type later on --- rmgpy/tools/uncertainty.py | 10 +++++++--- test/rmgpy/tools/uncertaintyTest.py | 16 ++++++++-------- 2 files changed, 15 insertions(+), 11 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index ef75b248b30..263f02c45be 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -669,7 +669,7 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non for adsGroupType, groupList in source['ADS'].items(): for group, weight in groupList: pdG = g_param_engine.get_partial_uncertainty_value(source, 'ADS', group, adsGroupType) - label = 'AdsorptionGroup({}) {}'.format(adsGroupType, group.label) + label = 'AdsorptionCorrection({}) {}'.format(adsGroupType, group.label) dG[label] = pdG if 'GAV' in source: for groupType, groupList in source['GAV'].items(): @@ -696,16 +696,20 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non source_dict = source['Rate Rules'][1] rules = source_dict['rules'] training = source_dict['training'] + surface_prefix = '' + if reaction.is_surface_reaction(): + surface_prefix = 'Surface ' + for ruleEntry, weight in rules: dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Rate Rules', corr_param=ruleEntry, corr_family=family) - label = '{} {}'.format(family, ruleEntry) + label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) dlnk[label] = dplnk for ruleEntry, trainingEntry, weight in training: dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Rate Rules', corr_param=ruleEntry, corr_family=family) - label = '{} {}'.format(family, ruleEntry) + label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) dlnk[label] = dplnk # There is also estimation error if rate rules are used diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 3632d7d7dc8..455909634f4 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -234,21 +234,21 @@ def test_local_analysis(self): 'Estimation C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', 'Estimation C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', 'Estimation C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', - 'Disproportionation Root_Ext-2R!H-R_2R!H->C_4R->C', + 'Rate Rule Disproportionation Root_Ext-2R!H-R_2R!H->C_4R->C', 'Estimation CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', 'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)', 'Estimation CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', 'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)', - 'H_Abstraction C/H3/Cs;C_methyl', - 'H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O', - 'H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H3', + 'Rate Rule H_Abstraction C/H3/Cs;C_methyl', + 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O', + 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H3', 'Estimation C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', - 'H_Abstraction C/H3/Cs\\H2\\O;C_methyl', - 'H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', - 'H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs', + 'Rate Rule H_Abstraction C/H3/Cs\\H2\\O;C_methyl', + 'Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', + 'Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs', 'Training Disproportionation CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)', 'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)', - 'Disproportionation Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C', + 'Rate Rule Disproportionation Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C', ] sensitive_species = [self.uncertainty.species_list[18]] From 2bcd747e592c2cee3d60943bdafc5697305b1017 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 8 May 2026 09:54:43 -0400 Subject: [PATCH 510/700] uncertainty: separate family and non-exact error The previous implementation combined family and non-exact error into a total estimation error. But this requires assuming that family and non-exact error are perfectly correlated. I don't think that was the paper's original intention, nor do I think it makes sense, but more importantly the log10(N+1) doesn't play nicely with the new uncertainty formulation if you write it this way. If you look at the local analysis example in uncertaintyTest.py, you'll see that the correlated variance goes from about 3 to 1.8, which makes sense because we are no longer stacking non-exact on top of family, but considering them as unrelated. --- rmgpy/tools/uncertainty.py | 35 ++++++++++++++++------------- test/rmgpy/tools/uncertaintyTest.py | 21 ++++++++++------- 2 files changed, 32 insertions(+), 24 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 263f02c45be..7b1aa9f4bb4 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -223,7 +223,7 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non Obtain the partial uncertainty dlnk/dlnk_corr*dlnk_corr, where dlnk_corr is the correlated parameter `corr_param` is the parameter identifier itself, which is the string identifier of the rate rule - `corr_source_type` is a string, being either 'Rate Rules', 'Library', 'PDep', 'Training' or 'Estimation' + `corr_source_type` is a string, being either 'Rate Rules', 'Library', 'PDep', 'Training', 'Estimation Nonexact', or 'Estimation Family' `corr_family` is a string used only when the source type is 'Rate Rules' and indicates the family """ @@ -275,24 +275,22 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non else: return self.dlnk_training - elif corr_source_type == 'Estimation': - # Return all the uncorrelated uncertainty associated with using an estimation scheme + elif corr_source_type == 'Estimation Nonexact': + # Return the uncorrelated uncertainty associated with using a non-exact rate rule if 'Rate Rules' in source: source_dict = source['Rate Rules'][1] exact = source_dict['exact'] - - family_label = source['Rate Rules'][0] - dlnk = self.dlnk_family # Base uncorrelated uncertainty just from using rate rule estimation - - # Additional uncertainty from using non-exact rate rule N = len(source_dict['rules']) + len(source_dict['training']) if not exact: # nonexactness contribution increases as N increases - dlnk += np.log10(N + 1) * self.dlnk_nonexact - return dlnk + return np.log10(N + 1) * self.dlnk_nonexact + elif corr_source_type == 'Estimation Family': + # Return the uncertainty associated with using a family decision tree + if 'Rate Rules' in source: + return self.dlnk_family else: - raise Exception('Kinetics correlated source must be Rate Rules, Library, PDep, Training, or Estimation') + raise Exception('Kinetics correlated source must be Rate Rules, Library, PDep, Training, Estimation Nonexact, or Estimation Family') # If we get here, it means that we did not find the correlated parameter in the source return None @@ -712,11 +710,16 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) dlnk[label] = dplnk - # There is also estimation error if rate rules are used - est_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation') - if est_dplnk: - label = 'Estimation {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) - dlnk[label] = est_dplnk + # There is also estimation error if rate rules are used (nonexact and family contribute to this) + nonexact_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation Nonexact', corr_family=family) + if nonexact_dplnk: + label = 'Estimation Nonexact {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnk[label] = nonexact_dplnk + + family_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation Family', corr_family=family) + if family_dplnk: + label = 'Estimation Family {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnk[label] = family_dplnk elif 'PDep' in source: dplnk = k_param_engine.get_partial_uncertainty_value(source, 'PDep', source['PDep']) diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 455909634f4..bf147a47b5c 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -189,9 +189,9 @@ def test_local_analysis(self): expected_uncorrelated_total_variance = 1.8329056941266446 expected_uncorrelated_thermo_variances = np.array([0.17092419, 0.09781627, 0.06186124, 0.04856985, 0.00391013, 0.00306632, 0.00041446, 9.953e-05]) expected_uncorrelated_kinetics_variances = np.array([1.1311145, 0.15888459, 0.085189, 0.02022449, 0.01687337, 0.01605351, 0.01588366, 0.0010829, 0.00080811, 0.00012957]) - expected_correlated_total_variance = 3.006637059881831 + expected_correlated_total_variance = 1.7732795017083922 expected_correlated_thermo_variances = np.array([0.09145902, 0.07672388, 0.04856985, 0.04573167, 0.03236887, 0.01747643, 0.01098087, 0.00143231, 0.0013764, 0.00031352, 0.00028968, 0.00014685, 0.0001338, 3.263e-05]) - expected_correlated_kinetics_variances = np.array([2.0212174, 0.28939964, 0.15516713, 0.11981721, 0.02838292, 0.01687337, 0.0161796, 0.01605351, 0.0040449, 0.00253735, 0.00253735, 0.00193506, 0.00168253, 0.00136045, 0.00136045, 0.00080811, 0.00012957, 0.00011471]) + expected_correlated_kinetics_variances = np.array([0.53202843, 0.47926886, 0.11981721, 0.11321232, 0.06070094, 0.04059757, 0.02176716, 0.01687337, 0.0161796, 0.01605351, 0.007471, 0.00673013, 0.0040449, 0.00253735, 0.00253735, 0.00168253, 0.00136045, 0.00136045, 0.00080811, 0.00050935, 0.00045884, 0.00012957, 0.00011471]) expected_uncorrelated_thermo_labels = [ 'dln[C2H6(18)]/dG[CH(4)]', 'dln[C2H6(18)]/dG[C2H3(20)]', @@ -231,22 +231,27 @@ def test_local_analysis(self): 'Estimation C2H5(12)', ] expected_correlated_kinetics_labels = [ - 'Estimation C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', - 'Estimation C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', - 'Estimation C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'Estimation Nonexact C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', + 'Estimation Family C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)', 'Rate Rule Disproportionation Root_Ext-2R!H-R_2R!H->C_4R->C', - 'Estimation CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', + 'Estimation Nonexact C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', + 'Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'Estimation Family C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)', + 'Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', 'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)', - 'Estimation CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', + 'Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', 'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)', + 'Estimation Nonexact CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', + 'Estimation Family CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)', 'Rate Rule H_Abstraction C/H3/Cs;C_methyl', 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O', 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H3', - 'Estimation C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', 'Rate Rule H_Abstraction C/H3/Cs\\H2\\O;C_methyl', 'Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', 'Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs', 'Training Disproportionation CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)', + 'Estimation Nonexact C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', + 'Estimation Family C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)', 'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)', 'Rate Rule Disproportionation Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C', ] From dbf3cd291d5eef098543d0094cab8ea602aabbf4 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 7 May 2026 16:29:55 -0400 Subject: [PATCH 511/700] New formulation of dependent parameters in uncertainty tool This implements a new formulation of uncertainty in which the underlying (or intermediate) parameters, such as rate rules, groups, or library entries, do not have to be independent as long as you know their covariance with the other parameters. This is a more general version of the old implementation and produces identical results given the same covariance information. --- rmgpy/tools/uncertainty.py | 525 +++++++++++++++++++++++++++- test/rmgpy/tools/uncertaintyTest.py | 44 ++- 2 files changed, 566 insertions(+), 3 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 7b1aa9f4bb4..a23c3143627 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -141,6 +141,43 @@ def get_uncertainty_factor(self, source): dG = self.get_uncertainty_value(source) f = np.sqrt(3) * dG return f + + def _get_covariance_qq(self, q_label1, q_label2): + """ + Gets the covariance between two intermediate sources q1 and q2 + Where q_label1 and q_label2 are both labels for a given thermo source + + The possible intermediate parameter types are: + Library, Surface_Library, QM, Estimation, AdsorptionCorrection, or Group + """ + intermediate_parameters = { + 'Library': self.dG_library, + 'Surface_Library': self.dG_surf_lib, + 'QM': self.dG_QM, + 'Estimation': self.dG_GAV, + 'AdsorptionCorrection': self.dG_ADS_correction, + 'Group': self.dG_group, + } + + # figure out the type of each correlated parameter from its label + corr_type1 = None + corr_type2 = None + + for intermediate_type in intermediate_parameters.keys(): + if q_label1.startswith(intermediate_type): + corr_type1 = intermediate_type + if q_label2.startswith(intermediate_type): + corr_type2 = intermediate_type + + if corr_type1 is None or corr_type2 is None: + raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}') + + if corr_type1 != corr_type2: + return 0 + elif q_label1 == q_label2: + # If the two correlated parameters are exactly the same, return the variance of that parameter + return intermediate_parameters[corr_type1] ** 2.0 + return 0 class KineticParameterUncertainty(object): @@ -304,6 +341,51 @@ def get_uncertainty_factor(self, source): dlnk = self.get_uncertainty_value(source) f = np.sqrt(3) / np.log(10) * dlnk return f + + def _get_covariance_qq(self, q_label1, q_label2): + """ + Gets the covariance between two intermediate sources q1 and q2 + Where q_label1 and q_label2 are both labels for a given kinetics source + + The possible intermediate parameter types are: + Library, Surface_Library, PDEP, Training, Rate Rule, + Estimation Family, Estimation Nonexact, Surface Training, and Surface Rate Rule + """ + + intermediate_parameters = { + 'Library': self.dlnk_library, + 'Surface_Library': self.dlnk_surf_library, + 'PDep': self.dlnk_pdep, + 'Training': self.dlnk_training, + 'Rate Rule': self.dlnk_rule, + 'Estimation Family': self.dlnk_family, + 'Estimation Nonexact': self.dlnk_nonexact, + 'Surface Training': self.dlnk_surf_training, + 'Surface Rate Rule': self.dlnk_surf_rule, + } + + corr_type1 = None + corr_type2 = None + + # figure out the intermediate parameter type + for intermediate_type in intermediate_parameters.keys(): + if q_label1.startswith(intermediate_type): + corr_type1 = intermediate_type + if q_label2.startswith(intermediate_type): + corr_type2 = intermediate_type + + if corr_type1 is None or corr_type2 is None: + raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}') + + if corr_type1 != corr_type2: + # If the two correlated parameters are of different types, we consider them to be uncorrelated + return 0 + + elif q_label1 == q_label2: + # If the two correlated parameters are exactly the same, return the variance of that parameter + return intermediate_parameters[corr_type1] ** 2.0 + + return 0 class Uncertainty(object): @@ -325,8 +407,16 @@ def __init__(self, species_list=None, reaction_list=None, output_directory=''): self.reaction_sources_dict = None self.all_thermo_sources = None self.all_kinetic_sources = None - self.thermo_input_uncertainties = None - self.kinetic_input_uncertainties = None + self.thermo_input_uncertainties = None # previous formulation thermo parameter uncertainties + self.kinetic_input_uncertainties = None # previous formulation kinetic parameter uncertainties + self.thermo_intermediate_uncertainties = None # new formulation thermo parameter uncertainties - can be dependent on each other + self.kinetic_intermediate_uncertainties = None # new formulation kinetic parameter uncertainties - can be dependent on each other + self.thermo_covariance_matrix = None # covariance matrix of all species thermo uncertainties + self.kinetic_covariance_matrix = None # covariance matrix of all reaction kinetic uncertainties + self.Sigma_ww_thermo = None # covariance matrix of all underlying thermo parameter uncertainties + self.Sigma_ww_kinetics = None # covariance matrix of all underlying kinetics parameter uncertainties + self.all_thermo_intermediates = None # list of labels of underlying thermo parameters + self.all_kinetics_intermediates = None # list of labels of underlying kinetic parameters self.output_directory = output_directory if output_directory else os.getcwd() # For extra species needed for correlated analysis but not in model @@ -744,6 +834,132 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non self.kinetic_input_uncertainties.append(dlnk) + def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine=None, correlated=False): + """ + Assign uncertainties to the intermediate parameters based on the sources of the species thermo and reaction kinetics. + + This fills out the class variables thermo_intermediate_uncertainties and kinetic_intermediate_uncertainties + these are each list of dictionaries. For every species or reaction, it lists all the intermediate sources contributing to that parameter's uncertainty. + + So for example, thermo_intermediate_uncertainties might look something like this: + + thermo_intermediate_uncertainties = [ + {'Group(group) Cds-CdsHH': 2.0, 'Group(radical) CCJ': 1.0, 'Estimation CH(4)': 1.0}, + {'Library CH2(5)': 1.0}, + ] + The keys of the dictionaries are the label names for the intermediate parameters. + and the values are partial derivatives dG_i/dq_w, how the species i Gibbs uncertainty changes with the intermediate parameter w. + + This function is the new formulation's equivalent to assign_parameter_uncertainties and similarly handles both correlated and uncorrelated cases. + But instead of assuming all underlying parameters are independent, here we can allow for dependence as long as we have the covariance + """ + if g_param_engine is None: + g_param_engine = ThermoParameterUncertainty() + if k_param_engine is None: + k_param_engine = KineticParameterUncertainty() + + self.thermo_intermediate_uncertainties = [] # store the intermediate dG_i/dq for each parameter q that contributes to the uncertainty of G_i, for use in correlated uncertainty analysis + self.kinetic_intermediate_uncertainties = [] + + for species in self.species_list: + if not correlated: + dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) + self.thermo_intermediate_uncertainties.append(dG) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty + else: + source = self.species_sources_dict[species] + dGdq = {} + if 'Library' in source: + try: + label = 'Library {}'.format(self.species_list[source['Library']].to_chemkin()) + except IndexError: + label = 'Library {}'.format(self.extra_species[source['Library'] - len(self.species_list)].to_chemkin()) + dGdq[label] = 1 # dG/dG_lib = 1, because the parameter is never scaled by anything other than 1 when it is used + if 'Surface_Library' in source: + try: + label = 'Surface_Library {}'.format(self.species_list[source['Surface_Library']].to_chemkin()) + except IndexError: + label = 'Surface_Library {}'.format(self.extra_species[source['Surface_Library'] - len(self.species_list)].to_chemkin()) + dGdq[label] = 1 # dG/dG_surf = 1, because the parameter is never scaled by anything other than 1 when it is used + if 'QM' in source: + label = 'QM {}'.format(self.species_list[source['QM']].to_chemkin()) + dGdq[label] = 1 + if 'ADS' in source: + for adsGroupType, groupList in source['ADS'].items(): + for group, weight in groupList: + label = 'AdsorptionCorrection({}) {}'.format(adsGroupType, group.label) + if weight != 1: + raise ValueError('Weight for adsorption group contribution to thermo should be 1, but got weight={weight} for {adsGroupType} in species {species}'.format(weight=weight, adsGroupType=adsGroupType, species=species)) + dGdq[label] = weight # This should be 1 + if 'GAV' in source: + for groupType, groupList in source['GAV'].items(): + for group, weight in groupList: + label = 'Group({}) {}'.format(groupType, group.label) + dGdq[label] = weight # dG/dG_group = weight, because the group contribution is scaled by the weight when it is used in the thermo estimation + # We also know if there is group additivity used, there will be uncorrelated estimation error + label = 'Estimation {}'.format(species.to_chemkin()) + dGdq[label] = 1 # dG/dG_est = 1, because the estimation error is added on top of the group additivity value, so it is never scaled by anything other than 1 when it is used + + self.thermo_intermediate_uncertainties.append(dGdq) + + for reaction in self.reaction_list: + if not correlated: + dlnk = k_param_engine.get_uncertainty_value(self.reaction_sources_dict[reaction]) + self.kinetic_intermediate_uncertainties.append(dlnk) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty + else: + source = self.reaction_sources_dict[reaction] + dlnkdq = {} + if 'Rate Rules' in source: + family = source['Rate Rules'][0] + source_dict = source['Rate Rules'][1] + rules = source_dict['rules'] + training = source_dict['training'] + exact = source_dict['exact'] + surface_prefix = '' + if reaction.is_surface_reaction(): + surface_prefix = 'Surface ' + for ruleEntry, weight in rules: + label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) + dlnkdq[label] = weight # dlnk/dlnk_rule = weight, because the rate rule is scaled by the weight when it is used in the kinetics estimation + + for ruleEntry, trainingEntry, weight in training: + # TODO - test that training reactions in a tree are correlated with the exact match kind of training reaction + # for now, we follow the old convention of treating these as rate rules + label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) # ruleEntry should probably be the reaction equation itself + dlnkdq[label] = weight # dlnk/dlnk_training = weight, because the training entry is scaled by the weight when it is used in the kinetics estimation + + # There is also estimation error if rate rules are used + # Record dlnk/dlnk_family, the derivative with respect to the family estimation uncertainty + label = 'Estimation Family {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = 1 # dlnk/dlnk_family = 1, because the family estimation uncertainty is added on top of the rate rule values, so it is never scaled by anything other than 1 when it is used + + # Record the non-exact estimation error if not an exact match for a rate rule + if not exact: + N = len(source_dict['rules']) + len(source_dict['training']) + label = 'Estimation Nonexact {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = np.log10(N + 1) + + elif 'PDep' in source: + label = 'PDep {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = 1.0 # dlnk/dlnk_PDep = 1, because the PDep kinetics is never scaled by anything other than 1 when it is used + + elif 'Library' in source: + label = 'Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = 1.0 # dlnk/dlnk_lib = 1, because the library kinetics is never scaled by anything other than 1 when it is used + + elif 'Surface_Library' in source: + label = 'Surface_Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = 1.0 # dlnk/dlnk_surf_lib = 1, because the surface library kinetics is never scaled by anything other than 1 when it is used + + elif 'Training' in source: + family = source['Training'][0] + surface_prefix = '' + if reaction.is_surface_reaction(): + surface_prefix = 'Surface ' + label = '{}Training {} {}'.format(surface_prefix, family, reaction.to_chemkin(self.species_list, kinetics=False)) + dlnkdq[label] = 1.0 + + self.kinetic_intermediate_uncertainties.append(dlnkdq) + def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, termination_time, sensitivity_threshold=1e-3, number=10, fileformat='.png'): """ @@ -895,6 +1111,311 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated= return output + def local_analysis_intermediate(self, sensitive_species, reaction_system_index=0, correlated=False, number=10, + fileformat='.png', t=None): + """ + local uncertainty analysis using new formulation where parameters might not be fully independent + + sensitive_species is a list of sensitive Species objects + number is the number of highest contributing uncertain parameters desired to be plotted + fileformat can be either .png, .pdf, or .svg + + t is the time in seconds at which to perform the analysis. + The default (None) uses the final timestep in the sensitivity analysis + + returns a dictionary of tuples for every sensitive species with: + - the total variance in concentration of that species + - the kinetic contributions to variance of that species's concentration + - the thermo contributions to variance of that species's concentration + """ + + output = {} + for sens_species in sensitive_species: + # 1. ------------------------- Get sensitivities -------------------------- + csvfile_path = os.path.join(self.output_directory, 'solver', + 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index + 1, + sens_species.index)) + time, data_list = parse_csv_data(csvfile_path) + + if t is None: + t_index = -1 + else: + t_index = int(np.argmin(np.abs(time.data - t))) + + # get the sensitivities and compile a list of the species and reaction indices actually used + # record sensitivities for all time, so sensitivity array is #time steps x #species + species_sensitivity_full_array = np.zeros(len(self.species_list)) + reaction_sensitivity_full_array = np.zeros(len(self.reaction_list)) + + # keeping track of which species/reactions are sensitive gives us a speedup in computing covariance matrices later on + species_used = [] + reactions_used = [] + for data in data_list: + if data.species: + for species in self.species_list: + if species.to_chemkin() == data.species: + index = self.species_list.index(species) + break + else: + raise ValueError(f'Chemkin name {data.species} of species in the CSV file does not match anything in the species list.') + species_sensitivity_full_array[index] = data.data[t_index] + species_used.append(index) + + if data.reaction: + rxn_index = int(data.index) - 1 + reaction_sensitivity_full_array[rxn_index] = data.data[t_index] + reactions_used.append(rxn_index) + species_used = sorted(species_used) + reactions_used = sorted(reactions_used) + + # shorten the sensitivity vectors to only the nonzero elements + species_sensitivity = np.array([species_sensitivity_full_array[i] for i in species_used]) + reaction_sensitivity = np.array([reaction_sensitivity_full_array[i] for i in reactions_used]) + + # 2. ------------------------- Compute intermediate covariance -------------------------- + # Now get the covariance matrix of the intermediate parameters (if uncorrelated, these are just covariance(G_i, G_j) or covariance(lnk_i, lnk_j) + Sigma_qq_thermo = self._get_intermediate_thermo_covariance_matrix(subset_indices=species_used) + Sigma_qq_kinetics = self._get_intermediate_kinetics_covariance_matrix(subset_indices=reactions_used) + + # 3. ------------------------- Compute partial derivatives dG/dq or dlnk/dq -------------------------- + # get the parital derivative of G or lnk with respect to intermediates (if uncorrelated, these are identity matrices) + dG_dq = self._get_dG_dq_matrix(subset_indices=species_used) + dlnkdq = self._get_dlnk_dq_matrix(subset_indices=reactions_used) + N_q_thermo = dG_dq.shape[1] # the number of thermo contributions + N_q_kinetics = dlnkdq.shape[1] # the number of kinetics contributions + + # 4. ------------------------- Multiply all matrices together to get total variance -------------------------- + # total variance = + # species_sensitivity * dG_dq * Sigma_qq_thermo * dG_dq' * species_sensitivity' + + # reaction_sensitivity * dlnk_dq * Sigma_qq_kinetics * dlnk_dq' * reaction_sensitivity' + + + # we split this into: + # species_sensitivity' * dG_dq' and Sigma_qq_thermo * dG_dq * species_sensitivity + # because this gives us the contributions of each intermediate parameter + thermo_contributions = np.multiply(np.dot(species_sensitivity, dG_dq), np.dot(Sigma_qq_thermo, np.dot(dG_dq.T, species_sensitivity.T)).T) + kinetic_contributions = np.multiply(np.dot(reaction_sensitivity, dlnkdq), np.dot(Sigma_qq_kinetics, np.dot(dlnkdq.T, reaction_sensitivity.T)).T) + + total_variance = np.sum(thermo_contributions) + np.sum(kinetic_contributions) + + # 5. ------------------------- Make plots -------------------------- + # define labels if they're not already listed in all_thermo/kinetics_intermediates + if self.all_thermo_intermediates is None or len(self.all_thermo_intermediates) != N_q_thermo: + self.all_thermo_intermediates = [f'dln[{sens_species.to_chemkin()}]/dG[{self.species_list[sp_idx].to_chemkin()}]' for sp_idx in species_used] + if self.all_kinetics_intermediates is None or len(self.all_kinetics_intermediates) != N_q_kinetics: + self.all_kinetics_intermediates = ['k' + str(self.reaction_list[rxn_idx].index) + ': ' + self.reaction_list[rxn_idx].to_chemkin(kinetics=False) for rxn_idx in reactions_used] + + # append all data points + thermo_plotting_data = [] + kinetics_plotting_data = [] + for i in range(N_q_thermo): + label = self.all_thermo_intermediates[i] + thermo_plotting_data.append(GenericData(data=[np.sqrt(thermo_contributions[i])], uncertainty=1.0, label=label, species='dummy')) + for i in range(N_q_kinetics): + label = self.all_kinetics_intermediates[i] + kinetics_plotting_data.append(GenericData(data=[np.sqrt(kinetic_contributions[i])], uncertainty=1.0, label=label, reaction='dummy')) + + # set up the folders and filenames for plotting + folder = os.path.join(self.output_directory, 'uncorrelated') + if correlated: + folder = os.path.join(self.output_directory, 'correlated') + os.makedirs(folder, exist_ok=True) + + r_path = os.path.join(folder, f'kineticsLocalUncertainty_{sens_species.to_chemkin()}{fileformat}') + t_path = os.path.join(folder, f'thermoLocalUncertainty_{sens_species.to_chemkin()}{fileformat}') + reaction_uncertainty = ReactionSensitivityPlot(x_var=time, y_var=kinetics_plotting_data, num_reactions=number).uncertainty_plot(total_variance, filename=r_path) + thermo_uncertainty = ThermoSensitivityPlot(x_var=time, y_var=thermo_plotting_data, num_species=number).uncertainty_plot(total_variance, filename=t_path) + + output[sens_species] = (total_variance, reaction_uncertainty, thermo_uncertainty) + + return output + + def get_thermo_covariance_matrix(self, g_param_engine=None): + """ + Return the thermo covariance matrix as a numpy array. + NxN square matrix where N is the number of species in the model, + with the covariance between species i and j in the ith row and jth column. + Units are in (kcal/mol)^2. + Must call assign_intermediate_uncertainties first to populate the source dictionaries. + + TODO speed this up with sparse matrix multiplication? + """ + assert self.thermo_intermediate_uncertainties is not None, 'Must call assign_intermediate_uncertainties first' + assert len(self.thermo_intermediate_uncertainties) > 0, 'No thermodynamic parameters found' + if isinstance(self.thermo_intermediate_uncertainties[0], np.float64): + self.thermo_covariance_matrix = np.float_power(np.diag(self.thermo_intermediate_uncertainties), 2.0) + return self.thermo_covariance_matrix + + self.thermo_covariance_matrix = np.zeros((len(self.species_list), len(self.species_list))) + + if g_param_engine is None: + g_param_engine = ThermoParameterUncertainty() + + for i in range(len(self.species_list)): + for j in range((len(self.species_list))): + for q in self.thermo_intermediate_uncertainties[i].keys(): + dG_i_dq = self.thermo_intermediate_uncertainties[i][q] + for r in self.thermo_intermediate_uncertainties[j].keys(): + dG_j_dr = self.thermo_intermediate_uncertainties[j][r] + self.thermo_covariance_matrix[i, j] += dG_i_dq * g_param_engine._get_covariance_qq(q, r) * dG_j_dr + + return self.thermo_covariance_matrix + + def get_kinetic_covariance_matrix(self, k_param_engine=None): + """ + Return the kinetic covariance matrix as a numpy array. + MxM square matrix where M is the number of reactions in the model, + with the covariance between reaction i and j in the ith row and jth column. + Units are in (ln(k))^2. + Must call assign_intermediate_uncertainties first to populate the source dictionaries. + + TODO speed this up with sparse matrix multiplication? + """ + assert self.kinetic_intermediate_uncertainties is not None, 'Must call assign_intermediate_uncertainties first' + assert len(self.kinetic_intermediate_uncertainties) > 0, 'No kinetic parameters found' + if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64): + self.kinetic_covariance_matrix = np.float_power(np.diag(self.kinetic_intermediate_uncertainties), 2.0) + return self.kinetic_covariance_matrix + + if k_param_engine is None: + k_param_engine = KineticParameterUncertainty() + + self.kinetic_covariance_matrix = np.zeros((len(self.reaction_list), len(self.reaction_list))) + + for i in range(len(self.reaction_list)): + for j in range(len(self.reaction_list)): + for q in self.kinetic_intermediate_uncertainties[i].keys(): + dlnk_i_dq = self.kinetic_intermediate_uncertainties[i][q] + for r in self.kinetic_intermediate_uncertainties[j].keys(): + dlnk_j_dr = self.kinetic_intermediate_uncertainties[j][r] + self.kinetic_covariance_matrix[i, j] += dlnk_i_dq * k_param_engine._get_covariance_qq(q, r) * dlnk_j_dr + + return self.kinetic_covariance_matrix + + def _get_intermediate_thermo_covariance_matrix(self, g_param_engine=None, subset_indices=None): + """ + Make an explicit covariance matrix of all the qs (intermediate thermo parameters, like specific groups or library entries) + + Requires calling assign_intermediate_uncertainties first + + if subset_indices is None, computes the full matrix. + Otherwise, only computes the matrices relevant to the species indicated by subset_indices + """ + if subset_indices is None: + subset_indices = np.arange(len(self.species_list)) + + if isinstance(self.thermo_intermediate_uncertainties[0], np.float64): + self.Sigma_ww_thermo = np.diag(np.float_power([self.thermo_intermediate_uncertainties[i] for i in subset_indices], 2.0)) + return self.Sigma_ww_thermo + + if g_param_engine is None: + g_param_engine = ThermoParameterUncertainty() + + self.all_thermo_intermediates = set() + for sp_idx in subset_indices: + for q in self.thermo_intermediate_uncertainties[sp_idx].keys(): + self.all_thermo_intermediates.add(q) + self.all_thermo_intermediates = list(self.all_thermo_intermediates) + W = len(self.all_thermo_intermediates) + + self.Sigma_ww_thermo = np.zeros((W, W)) + for i in range(W): + q_i = self.all_thermo_intermediates[i] + for j in range(i + 1): + q_j = self.all_thermo_intermediates[j] + self.Sigma_ww_thermo[i, j] = g_param_engine._get_covariance_qq(q_i, q_j) + self.Sigma_ww_thermo[j, i] = self.Sigma_ww_thermo[i, j] # symmetric matrix + return self.Sigma_ww_thermo + + def _get_intermediate_kinetics_covariance_matrix(self, k_param_engine=None, subset_indices=None): + """ + Make an explicit covariance matrix of all the qs (intermediate kinetic parameters, like specific rate rules or libraries entries) + + Requires calling assign_intermediate_uncertainties first + + if subset_indices is None, computes the full matrix. + Otherwise, only computes the matrices relevant to the reactions indicated by subset_indices + """ + if subset_indices is None: + subset_indices = np.arange(len(self.reaction_list)) + + if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64): + # TODO this might have to be squared + self.Sigma_ww_kinetics = np.diag(np.float_power([self.kinetic_intermediate_uncertainties[i] for i in subset_indices], 2.0)) + return self.Sigma_ww_kinetics + + if k_param_engine is None: + k_param_engine = KineticParameterUncertainty() + + self.all_kinetics_intermediates = set() + for rxn_idx in subset_indices: + for q in self.kinetic_intermediate_uncertainties[rxn_idx].keys(): + self.all_kinetics_intermediates.add(q) + self.all_kinetics_intermediates = list(self.all_kinetics_intermediates) + W = len(self.all_kinetics_intermediates) + + self.Sigma_ww_kinetics = np.zeros((W, W)) + for i in range(W): + q_i = self.all_kinetics_intermediates[i] + for j in range(i + 1): + q_j = self.all_kinetics_intermediates[j] + self.Sigma_ww_kinetics[i, j] = k_param_engine._get_covariance_qq(q_i, q_j) + self.Sigma_ww_kinetics[j, i] = self.Sigma_ww_kinetics[i, j] # symmetric matrix + return self.Sigma_ww_kinetics + + def _get_dG_dq_matrix(self, subset_indices=None): + """ + Returns an nxW matrix of partial derivatives where + n is number of species (or subset species) and W is number of relevant intermediate paramaters + + subset_indices is the set of species indices that matter + if subset_indices is None, it computes the full matrix + use at your own risk! + + assumes that get_intermediate_thermo_covariance_matrix was called with matching subset_indices + if not, then matrix dimensions will probably not match up for later multiplication, + which will signal the user that there's a problem + """ + if subset_indices is None: + subset_indices = np.arange(len(self.species_list)) + + # return a square identity matrix if uncorrelated + if isinstance(self.thermo_intermediate_uncertainties[0], np.float64): + return np.eye(len(subset_indices)) + + dGdq = np.zeros((len(subset_indices), len(self.all_thermo_intermediates))) + + for i, sp_idx in enumerate(subset_indices): + for key in self.thermo_intermediate_uncertainties[sp_idx].keys(): + q_index = self.all_thermo_intermediates.index(key) + dGdq[i, q_index] = self.thermo_intermediate_uncertainties[sp_idx][key] + + return dGdq + + def _get_dlnk_dq_matrix(self, subset_indices=None): + """ + Returns an mxW matrix of partial derivatives where + m is number of reactions and W is number of intermediate paramaters + + assumes that get_intermediate_kinetic_covariance_matrix was called with matching subset_indices + if not, then matrix dimensions will probably not match up for later multiplication, + which will signal the user that there's a problem + """ + if subset_indices is None: + subset_indices = np.arange(len(self.reaction_list)) + + # return a square identity matrix if uncorrelated + if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64): + return np.eye(len(subset_indices)) + + dlnkdq = np.zeros((len(subset_indices), len(self.all_kinetics_intermediates))) + + for i, rxn_idx in enumerate(subset_indices): + for key in self.kinetic_intermediate_uncertainties[rxn_idx].keys(): + q_index = self.all_kinetics_intermediates.index(key) + dlnkdq[i, q_index] = self.kinetic_intermediate_uncertainties[rxn_idx][key] + + return dlnkdq + def process_local_results(results, sensitive_species, number=10): """ diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index bf147a47b5c..22034e22fe5 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -28,7 +28,7 @@ ############################################################################### import os - +import copy import numpy as np @@ -300,6 +300,48 @@ def test_local_analysis(self): assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all() assert sorted_thermo_names == expected_correlated_thermo_labels + # -------------------- repeat the exact same test for new formulation -------------------------- + # uncorrelated analysis first + self.uncertainty.assign_intermediate_uncertainties() + output = self.uncertainty.local_analysis_intermediate(sensitive_species=sensitive_species) + total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]] + assert np.isclose(total_variance, expected_uncorrelated_total_variance) + + # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution + kinetic_variances = [r[2] for r in kinetic_uncertainty] + kinetics_names = [r[0] for r in kinetic_uncertainty] + sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1] + sorted_kinetic_variances = sorted(kinetic_variances, reverse=True) + assert np.isclose(sorted_kinetic_variances, expected_uncorrelated_kinetics_variances).all() + assert sorted_kinetics_names == expected_uncorrelated_kinetics_labels + + thermo_variances = [s[2] for s in thermo_uncertainty] + thermo_names = [s[0] for s in thermo_uncertainty] + sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1] + sorted_thermo_variances = sorted(thermo_variances, reverse=True) + assert np.isclose(sorted_thermo_variances, expected_uncorrelated_thermo_variances).all() + assert sorted_thermo_names == expected_uncorrelated_thermo_labels + + # now repeat for correlated analysis + self.uncertainty.assign_intermediate_uncertainties(correlated=True) + output = self.uncertainty.local_analysis_intermediate(sensitive_species=sensitive_species, correlated=True) + total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]] + assert np.isclose(total_variance, expected_correlated_total_variance) + + # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution + kinetic_variances = [r[2] for r in kinetic_uncertainty] + kinetics_names = [r[0] for r in kinetic_uncertainty] + sorted_kinetic_variances = sorted(kinetic_variances, reverse=True) + sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1] + assert np.isclose(sorted_kinetic_variances, expected_correlated_kinetics_variances).all() + assert sorted_kinetics_names == expected_correlated_kinetics_labels + + thermo_variances = [s[2] for s in thermo_uncertainty] + thermo_names = [s[0] for s in thermo_uncertainty] + sorted_thermo_variances = sorted(thermo_variances, reverse=True) + sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1] + assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all() + assert sorted_thermo_names == expected_correlated_thermo_labels def test_specific_species_uncertainties(self): """ From cf95429096a9537127424d25cd5d175b4ff4d128 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 8 May 2026 11:24:41 -0400 Subject: [PATCH 512/700] add tests for uncertainty covariance matrices --- test/rmgpy/tools/uncertaintyTest.py | 62 +++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 22034e22fe5..35ac31049a0 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -343,6 +343,68 @@ def test_local_analysis(self): assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all() assert sorted_thermo_names == expected_correlated_thermo_labels + def test_covariance_matrices(self): + """ + Test that the covariance matrices are being constructed correctly, and that the correlated uncertainties are different from the uncorrelated ones + """ + + # have to add an extra reaction to see any kinetic correlations + # copy reaction 4 and change the index so it is a new reaction, but with the same source (rate rule) as the original reaction + extra_reaction = copy.deepcopy(self.uncertainty.reaction_list[4]) + self.uncertainty.reaction_list.append(extra_reaction) + try: # this will still error out if there's a problem, but will reset the reaction list so it doesn't affect other tests + self.uncertainty.extract_sources_from_model() # this will assign the same source to the new reaction as the original reaction + + self.uncertainty.assign_parameter_uncertainties(correlated=False) + uncorrelated_thermo_inputs = np.array(self.uncertainty.thermo_input_uncertainties) + uncorrelated_kinetic_inputs = np.array(self.uncertainty.kinetic_input_uncertainties) + + self.uncertainty.assign_intermediate_uncertainties(correlated=False) + uncorrelated_thermo_covariance = self.uncertainty.get_thermo_covariance_matrix() + uncorrelated_kinetic_covariance = self.uncertainty.get_kinetic_covariance_matrix() + + self.uncertainty.assign_intermediate_uncertainties(correlated=True) + correlated_thermo_covariance = self.uncertainty.get_thermo_covariance_matrix() + correlated_kinetic_covariance = self.uncertainty.get_kinetic_covariance_matrix() + Sigma_ww_thermo = self.uncertainty._get_intermediate_thermo_covariance_matrix() + Sigma_ww_kinetics = self.uncertainty._get_intermediate_kinetics_covariance_matrix() + finally: + self.uncertainty.reaction_list.pop() # remove the extra reaction so it doesn't affect other tests + + # check that the diagonal elements of the correlated and uncorrelated covariance matrices are the same and equal to the squares of the input uncertainties + np.testing.assert_allclose(np.diag(uncorrelated_thermo_covariance), np.float_power(uncorrelated_thermo_inputs, 2.0), rtol=1e-4) + np.testing.assert_allclose(np.diag(correlated_thermo_covariance), np.float_power(uncorrelated_thermo_inputs, 2.0), rtol=1e-4) + np.testing.assert_allclose(np.diag(uncorrelated_kinetic_covariance), np.float_power(uncorrelated_kinetic_inputs, 2.0), rtol=1e-4) + np.testing.assert_allclose(np.diag(correlated_kinetic_covariance), np.float_power(uncorrelated_kinetic_inputs, 2.0), rtol=1e-4) + + # check that the off-diagonal elements of the uncorrelated covariance matrix are zero + off_diagonal_kinetic_uncorrelated = uncorrelated_kinetic_covariance - np.diag(np.diag(uncorrelated_kinetic_covariance)) + assert np.allclose(off_diagonal_kinetic_uncorrelated, 0, atol=1e-8) + off_diagonal_thermo_uncorrelated = uncorrelated_thermo_covariance - np.diag(np.diag(uncorrelated_thermo_covariance)) + assert np.allclose(off_diagonal_thermo_uncorrelated, 0, atol=1e-8) + + # check that the off-diagonal elements of the correlated covariance matrix are not all zero + off_diagonal_kinetic_correlated = correlated_kinetic_covariance - np.diag(np.diag(correlated_kinetic_covariance)) + assert not np.allclose(off_diagonal_kinetic_correlated, 0, atol=1e-8) + off_diagonal_thermo_correlated = correlated_thermo_covariance - np.diag(np.diag(correlated_thermo_covariance)) + assert not np.allclose(off_diagonal_thermo_correlated, 0, atol=1e-8) + + # check that the correlated covariance matrices are symmetric + assert np.allclose(correlated_kinetic_covariance, correlated_kinetic_covariance.T, atol=1e-8) + assert np.allclose(correlated_thermo_covariance, correlated_thermo_covariance.T, atol=1e-8) + assert np.allclose(Sigma_ww_kinetics, Sigma_ww_kinetics.T, atol=1e-8) + assert np.allclose(Sigma_ww_thermo, Sigma_ww_thermo.T, atol=1e-8) + + # check that the matrix is positive semi-definite by confirming that all eigenvalues are non-negative + kinetic_eigenvalues = np.linalg.eigvals(correlated_kinetic_covariance) + assert np.all(kinetic_eigenvalues >= -1e-8) # allow for small numerical errors + thermo_eigenvalues = np.linalg.eigvals(correlated_thermo_covariance) + assert np.all(thermo_eigenvalues >= -1e-8) # allow for small numerical errors + intermediate_kinetic_eigenvalues = np.linalg.eigvals(Sigma_ww_kinetics) + assert np.all(intermediate_kinetic_eigenvalues >= -1e-8) + intermediate_thermo_eigenvalues = np.linalg.eigvals(Sigma_ww_thermo) + assert np.all(intermediate_thermo_eigenvalues >= -1e-8) + def test_specific_species_uncertainties(self): """ Test uncertainties for a few specific examples From 6454ef8171975e2843154e3c65ddf66ba7427f48 Mon Sep 17 00:00:00 2001 From: Nora Khalil Date: Tue, 5 May 2026 15:01:13 -0400 Subject: [PATCH 513/700] passing extension_iter_item_cap to make_tree_nodes even if cascade algo isn't used --- rmgpy/data/kinetics/family.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index f57ce12b2e6..506b4e915f5 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -3294,7 +3294,7 @@ def generate_tree(self, rxns=None, obj=None, thermo_database=None, T=1000.0, npr template_rxn_map = self.get_reaction_matches(rxns=rxns, thermo_database=thermo_database, remove_degeneracy=True, fix_labels=True, exact_matches_only=True, get_reverse=True) self.make_tree_nodes(template_rxn_map=template_rxn_map, obj=obj, T=T, nprocs=nprocs - 1, depth=0, - min_splitable_entry_num=min_splitable_entry_num, min_rxns_to_spawn=min_rxns_to_spawn,extension_iter_max=extension_iter_max) + min_splitable_entry_num=min_splitable_entry_num, min_rxns_to_spawn=min_rxns_to_spawn,extension_iter_max=extension_iter_max, extension_iter_item_cap=extension_iter_item_cap) else: def rxnkey(rxn): c = 0 From 14b014ef78484ebec27b2c8f95031689c22d496a Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 16 Apr 2026 12:54:19 -0400 Subject: [PATCH 514/700] Add surface sensitivity to uncertainty tool --- rmgpy/tools/uncertainty.py | 34 ++++++++++++++++++++++++++-------- 1 file changed, 26 insertions(+), 8 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index a23c3143627..38576dca8c1 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -961,7 +961,8 @@ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine= self.kinetic_intermediate_uncertainties.append(dlnkdq) def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, termination_time, - sensitivity_threshold=1e-3, number=10, fileformat='.png'): + sensitivity_threshold=1e-3, number=10, fileformat='.png', initial_surface_coverages=None, + surface_volume_ratio=None, surface_site_density=2.72e-5): """ Run sensitivity analysis using the RMG solver in a single ReactionSystem object @@ -970,7 +971,7 @@ def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, number is the number of top species thermo or reaction kinetics desired to be plotted """ - from rmgpy.solver import SimpleReactor, TerminationTime + from rmgpy.solver import SimpleReactor, SurfaceReactor, TerminationTime from rmgpy.quantity import Quantity from rmgpy.rmg.listener import SimulationProfileWriter, SimulationProfilePlotter from rmgpy.rmg.settings import ModelSettings, SimulatorSettings @@ -978,12 +979,29 @@ def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, P = Quantity(P) termination = [TerminationTime(Quantity(termination_time))] - reaction_system = SimpleReactor(T=T, - P=P, - initial_mole_fractions=initial_mole_fractions, - termination=termination, - sensitive_species=sensitive_species, - sensitivity_threshold=sensitivity_threshold) + surface_mech = any([x.contains_surface_site() for x in self.species_list]) + if surface_mech: + assert surface_volume_ratio is not None, 'Must provide surface_volume_ratio for sensitivity analysis of surface mechanisms' + surface_volume_ratio = Quantity(surface_volume_ratio) + + if not surface_mech: + reaction_system = SimpleReactor(T=T, + P=P, + initial_mole_fractions=initial_mole_fractions, + termination=termination, + sensitive_species=sensitive_species, + sensitivity_threshold=sensitivity_threshold) + else: + reaction_system = SurfaceReactor(T=T, + P_initial=P, + initial_gas_mole_fractions=initial_mole_fractions, + initial_surface_coverages=initial_surface_coverages, + surface_volume_ratio=surface_volume_ratio, + surface_site_density=surface_site_density, + n_sims=1, + termination=termination, + sensitive_species=sensitive_species, + sensitivity_threshold=sensitivity_threshold) # Create the csv worksheets for logging sensitivity util.make_output_subdirectory(self.output_directory, 'solver') From e6e9282ef672aa0047040c0abb1ec2223a49a565 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Fri, 27 Mar 2026 16:05:37 -0700 Subject: [PATCH 515/700] Add pysidt-rmg to environment --- environment.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment.yml b/environment.yml index 39a5da8a661..39f4666f0fe 100644 --- a/environment.yml +++ b/environment.yml @@ -47,6 +47,7 @@ dependencies: - conda-forge::cclib >=1.6.3,<1.9 - conda-forge::openbabel >= 3 - conda-forge::rdkit >=2022.09.1 + - rmg::pysidt-rmg >=1.2 # Python tools - conda-forge::python >=3.9,<3.12 # leave as GEQ so that GitHub actions can add EQ w/o breaking (contradictory deps) From 87ee6079a4a4fc6a31984d3e0fd9e98e63fb251e Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Fri, 27 Mar 2026 16:09:32 -0700 Subject: [PATCH 516/700] add pysidt imports in data/thermo.py --- rmgpy/data/thermo.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index ba748fa2809..90fc6c0885c 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -40,6 +40,9 @@ import numpy as np +from pysidt import read_nodes, MultiTargetSingleEvalSubgraphIsomorphicDecisionTree +from pysidt.utils import find_shortest_paths + import rmgpy.constants as constants import rmgpy.molecule import rmgpy.quantity From 523f28d397dfc33725a647a50bd0a53189f41900 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Fri, 27 Mar 2026 22:28:59 -0700 Subject: [PATCH 517/700] add pysidt to conda build dependencies --- .conda/meta.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index c9a456c7137..9961ed16641 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -63,6 +63,7 @@ requirements: - conda-forge::gprof2dot - conda-forge::numdifftools - conda-forge::quantities !=0.16.0,!=0.16.1 + - rmg::pysidt-rmg >=1.2 - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry From cb7612e63a182f9ece35eae95123429ad3a8390e Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 29 Apr 2026 20:36:31 -0700 Subject: [PATCH 518/700] handle use of adsorption corrections for training reactions --- rmgpy/rmg/main.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 6ccb7a7a292..de65508cd1a 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -428,6 +428,10 @@ def save_input(self, path=None): save_input_file(path, self) def load_database(self): + if "SIDT" in self.adsorption_groups: + Pt111_adsorption = "adsorptionSIDTPt111" + else: + Pt111_adsorption = "adsorptionPt111" self.database = RMGDatabase() self.database.load( path=self.database_directory, @@ -438,7 +442,7 @@ def load_database(self): kinetics_families=self.kinetics_families, kinetics_depositories=self.kinetics_depositories, statmech_libraries = self.statmech_libraries, - adsorption_groups='adsorptionPt111', # use Pt111 groups for training reactions + adsorption_groups=Pt111_adsorption, # use Pt111 groups for training reactions # frequenciesLibraries = self.statmech_libraries, depository=False, # Don't bother loading the depository information, as we don't use it ) From f13002abff203844627f873302f417dfafe8721e Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 29 Apr 2026 20:37:18 -0700 Subject: [PATCH 519/700] handle setup and loading of thermo SIDTs --- rmgpy/data/thermo.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 90fc6c0885c..83b27561c0e 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -860,6 +860,8 @@ def __init__(self): self.libraries = {} self.surface = {} self.groups = {} + self.sidts = {} + self.sidt_taggings_and_decompositions = {} self.adsorption_groups = "adsorptionPt111" self.library_order = [] self.local_context = { @@ -886,6 +888,7 @@ def __reduce__(self): 'depository': self.depository, 'libraries': self.libraries, 'groups': self.groups, + 'sidts': self.sidts, 'library_order': self.library_order, 'surface' : self.surface, } @@ -898,6 +901,7 @@ def __setstate__(self, d): self.depository = d['depository'] self.libraries = d['libraries'] self.groups = d['groups'] + self.sidts = d['sidts'] self.library_order = d['library_order'] self.surface = d['surface'] @@ -912,6 +916,7 @@ def load(self, path, libraries=None, depository=True, surface=False): self.depository = {} self.load_libraries(os.path.join(path, 'libraries'), libraries) self.load_groups(os.path.join(path, 'groups')) + self.load_sidts(os.path.join(path,'sidt')) if surface: self.load_surface() From a87e4cb31b9ea51bac6e3799641a019c2f82eb40 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 29 Apr 2026 20:37:40 -0700 Subject: [PATCH 520/700] load adsorption correction SIDTs --- rmgpy/data/thermo.py | 65 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 83b27561c0e..6eb103dd7d9 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -1012,6 +1012,71 @@ def load_groups(self, path): self.record_ring_generic_nodes() self.record_polycylic_generic_nodes() + + def load_sidts(self, path): + """ + Load thermo SIDTs from the given `path` on disk, where `path` + points to the top-level folder of the thermo database. + """ + logging.info('Loading thermodynamics SIDTs from {0}...'.format(path)) + categories = [ + "Pt111_monodentate_adsorption_corrections", + "Pt111_bidentate_adsorption_corrections", + "Pt111_vdw_adsorption_corrections", + ] + + def add_monodentate_tag(m): + for a in m.atoms: + if a.is_surface_site(): + adatom = list(a.bonds.keys())[0] + adatom.label = "*" + break + + def add_bidentate_tag(m): + structs = [] + sites = m.get_surface_sites() + s1 = sites[0] + s2 = sites[1] + paths = find_shortest_paths(s1,s2) + path = paths[0] + for a in path: + a.label = "*" + + def add_vdw_tag(m): + for a in m.atoms: + if a.is_surface_site(): + a.label = "*" + break + + def multidentate_decomposition(m): + structs = [] + sites = m.get_surface_sites() + for tup in itertools.combinations(sites,2): + s1 = tup[0] + s2 = tup[1] + paths = find_shortest_paths(s1,s2) + path = paths[0] + inds = [] + for p in path: + inds.append(m.atoms.index(p)) + mol = m.copy(deep=True) + for ind in inds: + mol.atoms[ind].label = "*" + structs.append(mol) + + return structs + + self.sidt_taggings_and_decompositions = { + "Pt111_monodentate_adsorption_corrections": add_monodentate_tag, + "Pt111_bidentate_adsorption_corrections": add_bidentate_tag, + "Pt111_vdw_adsorption_corrections": add_vdw_tag, + "Pt111_multidentate_adsorption_corrections": multidentate_decomposition, #special + } + + for category in categories: + nodes = read_nodes(os.path.join(path,category+".json")) + tree = MultiTargetSingleEvalSubgraphIsomorphicDecisionTree(nodes=nodes) + self.sidts[category] = tree def save(self, path): """ From 6ac04ecfb546d678a52885cac782327d43d2234b Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 29 Apr 2026 20:38:10 -0700 Subject: [PATCH 521/700] enable use of SIDT adsorption correction predictors --- rmgpy/data/thermo.py | 187 ++++++++++++++++++++++++++----------------- 1 file changed, 115 insertions(+), 72 deletions(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 6eb103dd7d9..55cc165af95 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -1756,81 +1756,124 @@ def _add_adsorption_correction(self, adsorption_thermo, adsorption_groups, molec molecule ([Molecule]): the molecule to apply the thermo correction surface_sites ([list([Atom])]): a list of the surface site atoms in the molecule """ - number_of_surface_sites = len(surface_sites) - - matches = [] - for atom in surface_sites: - labeled_atoms = {'*': atom} - node = adsorption_groups.descend_tree(molecule, labeled_atoms) - if node is None: - # no match, so try the next surface site - continue - while node is not None and node.data is None: - node = node.parent - if node is None: - # no data, so try the next surface site - continue - data = node.data - comment = node.label - loop_count = 0 - while isinstance(data, str): - loop_count += 1 - if loop_count > 100: - raise DatabaseError("Maximum iterations reached while following thermo group data pointers. A circular" - f" reference may exist. Last node was {node.label} pointing to group called {data} in " - f"database {adsorption_groups.label}") - - for entry in adsorption_groups.entries.values(): - if entry.label == data: - data = entry.data - comment = entry.label - break - else: - raise DatabaseError(f"Node {node.label} points to a non-existing group called {data} " - f"in database {adsorption_groups.label}") - data.comment = f'{adsorption_groups.label}({comment})' - group_surface_sites = node.item.get_surface_sites() - if len(group_surface_sites) == number_of_surface_sites: - # all the surface sites are accounted for so add the adsorption group and return - add_thermo_data(adsorption_thermo, data, group_additivity=True) - return True - else: - # we have not found a full match yet, so append and keep looking - matches.append((len(group_surface_sites),data)) - - if len(matches) == 0: - raise DatabaseError(f"Could not find an adsorption correction in {adsorption_groups.label} for {molecule}") - matches.sort(key = lambda x: -x[0]) - # sort the matches by descending number of surface sites - corrections_applied = 0 - # start a counter for the number of corrections applied - for number_of_group_sites, data in matches: - if number_of_surface_sites - number_of_group_sites < 0: - # too many sites in this group, skip to the next one - continue - if not corrections_applied: - # this is the first correction, so add H298, S298, and Cp - add_thermo_data(adsorption_thermo, data, group_additivity=True) - else: - # We have already corrected S298 and Cp, so we only want to correct H298 - adsorption_thermo.H298.value_si += data.H298.value_si - adsorption_thermo.comment += ' + H298({0})'.format(data.comment) - corrections_applied += 1 - number_of_surface_sites -= number_of_group_sites - if number_of_surface_sites <= 0: - # we have corrected for all the sites - if number_of_surface_sites < 0: - adsorption_thermo.comment += ' WARNING(Too many adsorption corrections were added to the thermo!' - adsorption_thermo.comment += 'The H298 is very likely understimated as a result!)' - break - if number_of_surface_sites > 0: - adsorption_thermo.comment += ' WARNING({} surface sites were unaccounted for with adsorption corrections!'.format(number_of_surface_sites) - adsorption_thermo.comment += 'The H298 is very likely overestimated as a result!)' - - return True + if "SIDT" not in self.adsorption_groups: + matches = [] + for atom in surface_sites: + labeled_atoms = {'*': atom} + node = adsorption_groups.descend_tree(molecule, labeled_atoms) + if node is None: + # no match, so try the next surface site + continue + while node is not None and node.data is None: + node = node.parent + if node is None: + # no data, so try the next surface site + continue + data = node.data + comment = node.label + loop_count = 0 + while isinstance(data, str): + loop_count += 1 + if loop_count > 100: + raise DatabaseError("Maximum iterations reached while following thermo group data pointers. A circular" + f" reference may exist. Last node was {node.label} pointing to group called {data} in " + f"database {adsorption_groups.label}") + + for entry in adsorption_groups.entries.values(): + if entry.label == data: + data = entry.data + comment = entry.label + break + else: + raise DatabaseError(f"Node {node.label} points to a non-existing group called {data} " + f"in database {adsorption_groups.label}") + data.comment = f'{adsorption_groups.label}({comment})' + group_surface_sites = node.item.get_surface_sites() + if len(group_surface_sites) == number_of_surface_sites: + # all the surface sites are accounted for so add the adsorption group and return + add_thermo_data(adsorption_thermo, data, group_additivity=True) + return True + else: + # we have not found a full match yet, so append and keep looking + matches.append((len(group_surface_sites),data)) + + if len(matches) == 0: + raise DatabaseError(f"Could not find an adsorption correction in {adsorption_groups.label} for {molecule}") + matches.sort(key = lambda x: -x[0]) + # sort the matches by descending number of surface sites + corrections_applied = 0 + # start a counter for the number of corrections applied + for number_of_group_sites, data in matches: + if number_of_surface_sites - number_of_group_sites < 0: + # too many sites in this group, skip to the next one + continue + if not corrections_applied: + # this is the first correction, so add H298, S298, and Cp + add_thermo_data(adsorption_thermo, data, group_additivity=True) + else: + # We have already corrected S298 and Cp, so we only want to correct H298 + adsorption_thermo.H298.value_si += data.H298.value_si + adsorption_thermo.comment += ' + H298({0})'.format(data.comment) + corrections_applied += 1 + number_of_surface_sites -= number_of_group_sites + if number_of_surface_sites <= 0: + # we have corrected for all the sites + if number_of_surface_sites < 0: + adsorption_thermo.comment += ' WARNING(Too many adsorption corrections were added to the thermo!' + adsorption_thermo.comment += 'The H298 is very likely understimated as a result!)' + break + + if number_of_surface_sites > 0: + adsorption_thermo.comment += ' WARNING({} surface sites were unaccounted for with adsorption corrections!'.format(number_of_surface_sites) + adsorption_thermo.comment += 'The H298 is very likely overestimated as a result!)' + return True + else: + if number_of_surface_sites == 1: + if len(molecule.split()) == 1: + self.sidt_taggings_and_decompositions["Pt111_monodentate_adsorption_corrections"](molecule) + root = self.sidts["Pt111_monodentate_adsorption_corrections"].nodes["Root"] + data, unc, tr = self.sidts["Pt111_monodentate_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True) + else: + self.sidt_taggings_and_decompositions["Pt111_vdw_adsorption_corrections"](molecule) + data, unc, tr = self.sidts["Pt111_vdw_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True) + elif number_of_surface_sites == 2: + self.sidt_taggings_and_decompositions["Pt111_bidentate_adsorption_corrections"](molecule) + data, unc, tr = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True) + else: # >2 surface sites + data = None + sts = self.sidt_taggings_and_decompositions["Pt111_multidentate_adsorption_corrections"](molecule) + for st in sts: + if data is None: + data = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) + else: + data += self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) + data /= len(sts) + unc = [275.3710444584647, + 35.06003505844255, + 9.443946756077908, + 12.96897559887163, + 16.813134867837555, + 20.353756412672936, + 26.25846562429047, + 30.888440606215646, + 38.49498107527693] #based on tridentate data + tr = "estimators not designed to handle >2 adsorption sites corrections errors may be very high" + + molecule.clear_labeled_atoms() + + adsorption_thermo.H298.value_si += data[0]*1000.0 #kJ/mol + adsorption_thermo.H298.uncertainty_si += unc[0]*1000.0 + adsorption_thermo.S298.value_si += data[1] #J/(mol*K) + adsorption_thermo.S298.uncertainty_si += unc[1] + adsorption_thermo.Cpdata.value_si += data[2:] #J/(mol*K) + adsorption_thermo.Cpdata.uncertainty_si += unc[2:] + adsorption_thermo.comment += f'{self.adsorption_groups}({tr})' + + return True + def get_thermo_data_from_libraries(self, species, training_set=None): """ Return the thermodynamic parameters for a given :class:`Species` From dc5561bf52032a661acc0a93b673a976c84a7d3c Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Thu, 30 Apr 2026 17:57:15 -0700 Subject: [PATCH 522/700] load only files that are present this avoids issues with the testing database --- rmgpy/data/thermo.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 55cc165af95..c97bcdd52b0 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -1074,9 +1074,10 @@ def multidentate_decomposition(m): } for category in categories: - nodes = read_nodes(os.path.join(path,category+".json")) - tree = MultiTargetSingleEvalSubgraphIsomorphicDecisionTree(nodes=nodes) - self.sidts[category] = tree + if os.path.exists(os.path.join(path,category+".json")): + nodes = read_nodes(os.path.join(path,category+".json")) + tree = MultiTargetSingleEvalSubgraphIsomorphicDecisionTree(nodes=nodes) + self.sidts[category] = tree def save(self, path): """ From afe6f74aa5e7c7200469b9fa7f016ffe9f53e124 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Mon, 4 May 2026 20:12:14 -0700 Subject: [PATCH 523/700] add database tests that the SIDTs load properly and work --- test/database/databaseTest.py | 24 ++++++++++++++++++++++-- 1 file changed, 22 insertions(+), 2 deletions(-) diff --git a/test/database/databaseTest.py b/test/database/databaseTest.py index 3af53f5ac3d..ff3e83f70e1 100644 --- a/test/database/databaseTest.py +++ b/test/database/databaseTest.py @@ -46,7 +46,7 @@ from rmgpy.data.base import LogicOr from rmgpy.data.rmg import RMGDatabase from rmgpy.exceptions import ImplicitBenzeneError, UnexpectedChargeError -from rmgpy.molecule import Group +from rmgpy.molecule import Group, Molecule from rmgpy.molecule.atomtype import ATOMTYPES from rmgpy.molecule.pathfinder import find_shortest_path from rmgpy.quantity import ScalarQuantity @@ -241,7 +241,27 @@ def test_thermo(self): assert self.check_surface_thermo_libraries_have_surface_attributes( library_name, library ), "Thermo surface libraries {0}: Entry has metal attributes?".format(library_name) - + + with check: + assert len(self.database.thermo.sidts) > 0, "SIDT thermochemistry models did not load?" + + for name,tree in self.database.thermo.sidts.items(): + tagging = self.database.thermo.sidt_taggings_and_decompositions[name] + if "monodentate" in name: + tmol = Molecule(smiles="C*") + tagging(tmol) + tree.evaluate(tmol) + elif "bidentate" in name: + tmol = Molecule(smiles="*CC*") + tagging(tmol) + tree.evaluate(tmol) + elif "vdw" in name: + tmol = Molecule(smiles="C.*") + tagging(tmol) + tree.evaluate(tmol) + else: + pass + def test_solvation(self): for group_name, group in self.database.solvation.groups.items(): with check: From ddeeeeabea85afdeae46319222cdfa177b5a542c Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 6 May 2026 12:53:09 -0700 Subject: [PATCH 524/700] properly parse metal out from SIDT adsorption tree specification --- rmgpy/data/thermo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index c97bcdd52b0..d17b2883d72 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -1367,7 +1367,7 @@ def get_thermo_data(self, species, metal_to_scale_to=None, training_set=None): if species.contains_surface_site(): try: thermo0 = self.get_thermo_data_for_surface_species(species) - metal_to_scale_from = self.adsorption_groups.split('adsorption')[-1] + metal_to_scale_from = self.adsorption_groups.split('adsorption')[-1].replace("SIDT","",1) if metal_to_scale_from != metal_to_scale_to: thermo0 = self.correct_binding_energy(thermo0, species, metal_to_scale_from=metal_to_scale_from, metal_to_scale_to=metal_to_scale_to) # group adsorption values come from Pt111 return thermo0 From fdadd3444eabf225e4fe3bab0a1c9a65143da453 Mon Sep 17 00:00:00 2001 From: Matt Johnson Date: Wed, 6 May 2026 12:54:33 -0700 Subject: [PATCH 525/700] handle missing tridentate substructures --- rmgpy/data/thermo.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index d17b2883d72..6f3e4d35bae 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -1846,12 +1846,21 @@ def _add_adsorption_correction(self, adsorption_thermo, adsorption_groups, molec else: # >2 surface sites data = None sts = self.sidt_taggings_and_decompositions["Pt111_multidentate_adsorption_corrections"](molecule) + Nsts = 0 for st in sts: if data is None: - data = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) + dE = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) else: - data += self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) - data /= len(sts) + dE = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st) + + if dE is not None: + if data is None: + data = dE + else: + data += dE + Nsts += 1 + + data /= Nsts unc = [275.3710444584647, 35.06003505844255, 9.443946756077908, From 2ffa73153ea8d0648124ce517cc54db1bd59f339 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 10 May 2026 13:59:34 -0400 Subject: [PATCH 526/700] add ability to load BEEF correlations for UQ --- rmgpy/tools/uncertainty.py | 307 +++++++++++++++++++++++++++++++++++-- 1 file changed, 297 insertions(+), 10 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 38576dca8c1..4754c8aa064 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -28,10 +28,11 @@ ############################################################################### import os -import re import numpy as np +import warnings +import rmgpy.data.thermo import rmgpy.util as util from rmgpy.species import Species from rmgpy.tools.data import GenericData @@ -43,7 +44,7 @@ class ThermoParameterUncertainty(object): This class is an engine that generates the species uncertainty based on its thermo sources. """ - def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.7159, dG_ADS_correction=6.918, dG_surf_lib=6.918): + def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.7159, dG_ADS_correction=6.918, dG_surf_lib=6.918, other_covariances=None): """ Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values in units of kcal/mol. @@ -57,6 +58,7 @@ def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.7159, dG_AD self.dG_group = dG_group self.dG_ADS_correction = dG_ADS_correction self.dG_surf_lib = dG_surf_lib + self.other_covariances = other_covariances # storage of covariances as a dict. Keys are sorted tuples of parameter labels and values are covariances def get_uncertainty_value(self, source): """ @@ -66,7 +68,14 @@ def get_uncertainty_value(self, source): if 'Library' in source: varG += self.dG_library * self.dG_library if 'Surface_Library' in source: - varG += self.dG_surf_lib * self.dG_surf_lib + surf_lib_varG = self.dG_surf_lib * self.dG_surf_lib + # covariance libraries should overrule the default uncertainties when available + if self.other_covariances is not None: + label = f'Surface_Library {source["Surface_Library"]}' # match the covariance dict label format + cov_label = (label, label) + if cov_label in self.other_covariances: + surf_lib_varG = self.other_covariances[cov_label] + varG += surf_lib_varG # Add the variance of the surface library parameter if covariance is not specified in the covariance libraries if 'QM' in source: varG += self.dG_QM * self.dG_QM if 'GAV' in source: @@ -172,6 +181,12 @@ def _get_covariance_qq(self, q_label1, q_label2): if corr_type1 is None or corr_type2 is None: raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}') + if self.other_covariances is not None: + # check if covariance is specified in other_covariances dict + sorted_labels = tuple(sorted([q_label1, q_label2])) + if sorted_labels in self.other_covariances: + return self.other_covariances[sorted_labels] + if corr_type1 != corr_type2: return 0 elif q_label1 == q_label2: @@ -394,11 +409,13 @@ class Uncertainty(object): for a single RMG-generated mechanism. """ - def __init__(self, species_list=None, reaction_list=None, output_directory=''): + def __init__(self, species_list=None, reaction_list=None, output_directory='', thermo_covariance_libraries=None, thermo_covariance_groups=None): """ `species_list`: list of RMG species objects `reaction_list`: list of RMG reaction objects `outputDirectoy`: directory path for saving output files from the analyses + `thermo_covariance_libraries`: list of library paths to pull additional thermo covariances from + `thermo_covariance_groups`: list of groups to get additional thermo covariances from """ self.database = None self.species_list = species_list @@ -418,6 +435,9 @@ def __init__(self, species_list=None, reaction_list=None, output_directory=''): self.all_thermo_intermediates = None # list of labels of underlying thermo parameters self.all_kinetics_intermediates = None # list of labels of underlying kinetic parameters self.output_directory = output_directory if output_directory else os.getcwd() + self.thermo_covariance_libraries = thermo_covariance_libraries + self.thermo_covariance_groups = thermo_covariance_groups + self.thermo_covariances_dict = {} # dictionary to store covariances from covariance libraries # For extra species needed for correlated analysis but not in model self.extra_species = [] @@ -507,6 +527,245 @@ def retrieve_saturated_species_from_list(self, species): else: raise Exception('Could not retrieve saturated species form of {0} from the species list'.format(species)) + def load_thermo_covariances_from_libraries(self): + """ + This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance libraries + + For each library, it expects: + 1. a covariance.npy file containing the thermo covariance matrix and + 2. a species_dictionary.txt file containing the species corresponding to the covariance data. In the same order. + + See the RMG-database/scripts/compile_BEEF_cov.ipynb Jupyter notebook for more details on how to generate these covariance libraries. + + This function only adds covariance data for species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction) + and only for the thermo source associated with that library. The goal is to keep the dictionary as small as possible because the lookups scale badly. + + Note: the covariance.npy matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis + """ + from rmgpy.chemkin import load_species_dictionary + if self.database is None: + raise RuntimeError('Must load database before loading covariance libraries, since we need the path to the covariance libraries from the database') + if self.thermo_covariance_libraries is not None: + for cov_lib in self.thermo_covariance_libraries: + library_name = os.path.basename(cov_lib) + if library_name in self.database.thermo.libraries: + library = self.database.thermo.libraries[library_name] + else: + raise ValueError(f'Thermo covariance library {library_name} not found in the loaded database') + covariance_file = os.path.join(cov_lib, 'covariance.npy') + covariance_species = os.path.join(cov_lib, 'species_dictionary.txt') + + if not os.path.isfile(covariance_file): + raise ValueError(f'Thermo covariance file {covariance_file} not found in library {cov_lib}') + if not os.path.isfile(covariance_species): + raise ValueError(f'Thermo species file {covariance_species} not found in library {cov_lib}') + + # warn the user if the covariance library is older than the thermo library, since this likely means the covariance data is out of date + covariance_data_time = os.path.getmtime(covariance_file) + library_file_path = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'libraries', f'{library_name}.py') + if not os.path.isfile(library_file_path): + # just warn the user instead of raising an error, since the covariance data may still be relevant even if the library file is not available + warnings.warn(f'Could not find the file for library {library_name} to compare modification times with the covariance library {cov_lib}. It may or may not be up to date.') + else: + library_file_time = os.path.getmtime(library_file_path) + if covariance_data_time < library_file_time: + warnings.warn(f'Thermo covariance library {cov_lib} is older than the thermo library {library_name}, which may mean the covariance data is out of date and not consistent with the current library data') + + # Load covariance data and species + cov_data = np.load(covariance_file) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 + cov_species_dict = load_species_dictionary(covariance_species) + cov_specs = [item for _, item in cov_species_dict.items()] + + # quick check to make sure the covariance data and molecule data are consistent with each other + if cov_data.shape[0] != len(cov_specs): + raise ValueError(f'Covariance data and molecule data in library {cov_lib} are inconsistent: covariance data has shape {cov_data.shape} but molecule data has length {len(cov_specs)}') + + # load the labels, but only include species in the model + subset_indices = [] # keep track of indices relevant to the model + for i_lib, lib_species in enumerate(cov_specs): + i_sp = get_i_thing(lib_species, self.species_list) + if i_sp < 0: + continue + + # make sure the species actually comes from this library, otherwise skip + result = self.database.thermo.get_thermo_data_from_library(lib_species, library) + if result is not None: + surface_prefix = 'Surface_' if lib_species.contains_surface_site() else '' + # match the label as constructed in assign_intermediate_uncertainties, + # where the number corresponds to the index of the species in species_list + try: + label = f'{surface_prefix}Library {self.species_list[i_sp].to_chemkin()}' + except IndexError: + label = f'{surface_prefix}Library {self.extra_species[i_sp - len(self.species_list)].to_chemkin()}' + lib_species.label = label + subset_indices.append(i_lib) + + # fill in the dictionary of covariances from the covariance libraries, + # with keys being sorted tuples of the labels of the correlated parameters + # and values being the covariance between those parameters + # only go through upper triangle of the covariance matrix, since the other half is just the transpose + tolerance = 1e-12 # consider anything with covariance less than this to be uncorrelated + for i, index_i in enumerate(subset_indices): + for j in range(i, len(subset_indices)): + index_j = subset_indices[j] + if abs(cov_data[index_i, index_j]) > tolerance: + label1 = cov_specs[index_i].label + label2 = cov_specs[index_j].label + covariance = cov_data[index_i, index_j] + self.thermo_covariances_dict[tuple(sorted([label1, label2]))] = covariance + + def load_thermo_covariances_from_groups(self): + """ + This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance group trees + + For each group tree, it expects: + 1. a covariance.npy file containing the thermo covariance matrix, + 2. a groups.py file containing the group definitions for the covariance data, in the same order as covariance.npy, and + 3. (optional) a species_dictionary.txt file containing the species in an associated library containing the training data. + For example, the adsorptionPt111 correction tree uses the same species as surfaceThermoPt111, so it includes a species_dictionary.txt file to be able to get correlations with that library. + + See the RMG-database/scripts/compile_BEEF_cov.ipynb Jupyter notebook for more details on how to generate these covariance libraries. + + This function only adds covariance data for groups and species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction) + and only for the thermo source associated with that group/library. The goal is to keep the dictionary as small as possible because the lookups scale badly. + + Note: the covariance.npy matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis + """ + from rmgpy.chemkin import load_species_dictionary + # assumes there might also be covariances associated with library entries + + # associated library is hardcoded for now + associated_libraries = { + 'adsorptionPt111': 'surfaceThermoPt111', + } + + if self.database is None: + raise RuntimeError('Must load database before loading covariance groups, since we need the database to find the associated libraries for the covariance groups') + if self.thermo_covariance_groups is not None: + self.compile_all_sources() + for cov_group_tree in self.thermo_covariance_groups: + associated_library = None + cov_group_tree_name = os.path.basename(cov_group_tree) + if cov_group_tree_name in self.database.thermo.groups: + grouptree = self.database.thermo.groups[cov_group_tree_name] + rmg_group_tree_file = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'groups', f'{cov_group_tree_name}.py') + else: + raise ValueError(f'Thermo covariance library {cov_group_tree_name} not found in the loaded database') + if cov_group_tree_name in associated_libraries: + library_name = associated_libraries[cov_group_tree_name] + if library_name in self.database.thermo.libraries: + associated_library = self.database.thermo.libraries[library_name] + else: + raise ValueError(f'Associated library {library_name} for covariance group {cov_group_tree_name} not found in the loaded database') + + covariance_file = os.path.join(cov_group_tree, 'covariance.npy') + if not os.path.isfile(covariance_file): + raise ValueError(f'Thermo covariance file {covariance_file} not found in {cov_group_tree}') + group_database_file = os.path.join(cov_group_tree, 'groups.py') + covariance_molecules = None + if associated_library is not None: + covariance_molecules = os.path.join(cov_group_tree, 'species_dictionary.txt') + if not os.path.isfile(covariance_molecules): + raise ValueError(f'Thermo molecules file {covariance_molecules} not found in {cov_group_tree}') + + # warn the user if the covariance group tree is older than the associated library, since this likely means the covariance data is out of date + covariance_data_time = os.path.getmtime(covariance_file) + rmg_group_file_time = os.path.getmtime(rmg_group_tree_file) + if covariance_data_time < rmg_group_file_time: + warnings.warn(f'Thermo covariance group tree {cov_group_tree} is older than the RMG group tree file {rmg_group_tree_file}, which may mean the covariance data is out of date and not consistent with the current group definitions in RMG') + if associated_library is not None: + library_file_path = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'libraries', f'{associated_library.label}.py') + if not os.path.isfile(library_file_path): + # just warn the user instead of raising an error, since the covariance data may still be relevant even if the library file is not available + warnings.warn(f'Could not find the file for associated library {associated_library.label} to compare modification times with the covariance group tree {cov_group_tree}. It may or may not be up to date.') + else: + library_file_time = os.path.getmtime(library_file_path) + if covariance_data_time < library_file_time: + warnings.warn(f'Thermo covariance group tree {cov_group_tree} is older than the associated library {associated_library.label}, which may mean the covariance data is out of date and not consistent with the current library data') + + # load data + cov_data = np.load(covariance_file) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 + group_database = rmgpy.data.thermo.ThermoGroups() + group_database.load(group_database_file) + + # reconstruct the groups and molecules stored in the molecules.pickle file + cov_specs = [] + if covariance_molecules is not None: + cov_species_dict = load_species_dictionary(covariance_molecules) + cov_specs = [item for _, item in cov_species_dict.items()] + + group_items = [x.item for _, x in group_database.entries.items()] + group_labels = [x.label for _, x in group_database.entries.items()] + n_groups = len(group_items) + n_mols = len(cov_specs) + if cov_data.shape[0] != n_groups + n_mols: + raise ValueError(f'Covariance data size {cov_data.shape[0]} does not match the number of groups and molecules {n_mols} + {n_groups} in covariance group tree {cov_group_tree}') + + + # add all groups in the model + tolerance = 1e-12 # consider anything with covariance less than this to be uncorrelated + + # --------------------------------- add group-group correlations --------------------------------- + # only consider groups actually in the model to keep this a reasonable size + groups_in_model = [] + if cov_group_tree_name == 'adsorptionPt111' and 'ADS' in self.all_thermo_sources: + groups_in_model = self.all_thermo_sources['ADS'][cov_group_tree_name] + else: + groups_in_model = self.all_thermo_sources['GAV'][cov_group_tree_name] + group_items_in_model = [x.item for x in groups_in_model] + group_labels_in_model = [x.label for x in groups_in_model] + + # get labels through isomorphism with the groups in the model, so it doesn't matter if names change, it matches structure + valid_group_indices = [i for i in range(n_groups) if get_i_thing(group_items[i], group_items_in_model) >= 0] + valid_group_labels = [group_labels_in_model[get_i_thing(group_items[i], group_items_in_model)] for i in valid_group_indices] + + groupname_prefix = f'Group({cov_group_tree_name})' + if cov_group_tree_name == 'adsorptionPt111': + groupname_prefix = f'AdsorptionCorrection({cov_group_tree_name})' + + # only iterate through groups in the model + # go through upper triangle of the covariance matrix, since the other half is just the transpose + for i, index_i in enumerate(valid_group_indices): + label_i = f'{groupname_prefix} {valid_group_labels[i]}' + for j in range(i, len(valid_group_indices)): + index_j = valid_group_indices[j] + label_j = f'{groupname_prefix} {valid_group_labels[j]}' + if abs(cov_data[index_i, index_j]) > tolerance: + covariance = cov_data[index_i, index_j] + self.thermo_covariances_dict[tuple(sorted([label_i, label_j]))] = covariance + + # ---------------------------- add group-molecule correlations from associated library (if applicable) ---------------------------- + if associated_library is not None: + # Figure out the associated library labels, but only include species in the model + subset_species_indices = [] # keep track of indices relevant to the model + for i_lib, lib_species in enumerate(cov_specs): + i_sp = get_i_thing(lib_species, self.species_list) + if i_sp < 0: + continue + + # make sure the species actually comes from this library, otherwise skip + result = self.database.thermo.get_thermo_data_from_library(lib_species, associated_library) + if result is not None: + surface_prefix = 'Surface_' if lib_species.contains_surface_site() else '' + # match the label as constructed in assign_intermediate_uncertainties, + # where the number corresponds to the index of the species in species_list + try: + label = f'{surface_prefix}Library {self.species_list[i_sp].to_chemkin()}' + except IndexError: + label = f'{surface_prefix}Library {self.extra_species[i_sp - len(self.species_list)].to_chemkin()}' + lib_species.label = label + subset_species_indices.append(i_lib) + + # fill in the dictionary of covariances from the covariance libraries + for i, index_i in enumerate(valid_group_indices): + label_i = f'{groupname_prefix} {valid_group_labels[i]}' + for j, index_j in enumerate(subset_species_indices): + label_j = cov_specs[index_j].label + if abs(cov_data[index_i, n_groups + index_j]) > tolerance: + covariance = cov_data[index_i, n_groups + index_j] + self.thermo_covariances_dict[tuple(sorted([label_i, label_j]))] = covariance + + def extract_sources_from_model(self): """ Extract the source data from the model using its comments. @@ -626,6 +885,10 @@ def extract_sources_from_model(self): for spc in self.extra_species: self.species_list.remove(spc) + # -------------------- load covariance libraries ------------------------# + self.load_thermo_covariances_from_libraries() + self.load_thermo_covariances_from_groups() + def compile_all_sources(self): """ Compile two dictionaries composed of all the thermo and kinetic sources. Must @@ -721,7 +984,7 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non Assign uncertainties based on the sources of the species thermo and reaction kinetics. """ if g_param_engine is None: - g_param_engine = ThermoParameterUncertainty() + g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict) if k_param_engine is None: k_param_engine = KineticParameterUncertainty() @@ -730,7 +993,15 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non for species in self.species_list: if not correlated: - dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) + entry = self.species_sources_dict[species] + if 'Surface_Library' in entry: # preconditioning for covariance + # this is an ugly workaround to handle covariances: because get_uncertainty_value needs the species chemkin string to get the covariance + # but the source dictionary only has the index of the surface library entry + entry_copy = entry.copy() + entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin() + dG = g_param_engine.get_uncertainty_value(entry_copy) + else: + dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) self.thermo_input_uncertainties.append(dG) else: source = self.species_sources_dict[species] @@ -854,7 +1125,7 @@ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine= But instead of assuming all underlying parameters are independent, here we can allow for dependence as long as we have the covariance """ if g_param_engine is None: - g_param_engine = ThermoParameterUncertainty() + g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict) if k_param_engine is None: k_param_engine = KineticParameterUncertainty() @@ -863,7 +1134,15 @@ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine= for species in self.species_list: if not correlated: - dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) + entry = self.species_sources_dict[species] + if 'Surface_Library' in entry: # preconditioning for covariance + # this is an ugly workaround to handle covariances: because get_uncertainty_value needs the species chemkin string to get the covariance + # but the source dictionary only has the index of the surface library entry + entry_copy = entry.copy() + entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin() + dG = g_param_engine.get_uncertainty_value(entry_copy) + else: + dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) self.thermo_intermediate_uncertainties.append(dG) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty else: source = self.species_sources_dict[species] @@ -1266,7 +1545,7 @@ def get_thermo_covariance_matrix(self, g_param_engine=None): self.thermo_covariance_matrix = np.zeros((len(self.species_list), len(self.species_list))) if g_param_engine is None: - g_param_engine = ThermoParameterUncertainty() + g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict) for i in range(len(self.species_list)): for j in range((len(self.species_list))): @@ -1326,7 +1605,7 @@ def _get_intermediate_thermo_covariance_matrix(self, g_param_engine=None, subset return self.Sigma_ww_thermo if g_param_engine is None: - g_param_engine = ThermoParameterUncertainty() + g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict) self.all_thermo_intermediates = set() for sp_idx in subset_indices: @@ -1473,3 +1752,11 @@ def process_local_results(results, sensitive_species, number=10): output += '================================================================================\n\n' return processed_results, output + +def get_i_thing(thing, thing_list): + # get index of a species/molecule/group/reaction in a list of those things, + # where the thing might not be exactly the same object as the one in the list but is isomorphic to it + for i in range(len(thing_list)): + if thing.is_isomorphic(thing_list[i]): + return i + return -1 From 1e4c42592f7a9a06e49694598eaad2e4294612ea Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Mon, 11 May 2026 17:36:32 -0400 Subject: [PATCH 527/700] zero out negative contributions to local uncertainty When loading covariance matrices, it is possible to have negative correlations. This can lead to a negative contribution to the overall variance, but this will screw up the plotting functions, so for now we set it to zero. --- rmgpy/tools/uncertainty.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 4754c8aa064..965df1db6d4 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -1492,6 +1492,11 @@ def local_analysis_intermediate(self, sensitive_species, reaction_system_index=0 thermo_contributions = np.multiply(np.dot(species_sensitivity, dG_dq), np.dot(Sigma_qq_thermo, np.dot(dG_dq.T, species_sensitivity.T)).T) kinetic_contributions = np.multiply(np.dot(reaction_sensitivity, dlnkdq), np.dot(Sigma_qq_kinetics, np.dot(dlnkdq.T, reaction_sensitivity.T)).T) + for i in range(len(thermo_contributions)): + if thermo_contributions[i] < 0: + print(f'Warning: negative contribution to variance from {self.all_thermo_intermediates[i]} of {thermo_contributions[i]}. Setting contribution to 0 for plotting purposes.') + thermo_contributions[i] = 0 + total_variance = np.sum(thermo_contributions) + np.sum(kinetic_contributions) # 5. ------------------------- Make plots -------------------------- From 6eb34fa77773c4d20df19bf4a3b3b13d97a554ad Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Wed, 22 Apr 2026 15:41:44 -0400 Subject: [PATCH 528/700] Version 4.0.0.rc1 --- .conda/meta.yaml | 4 ++-- .../source/users/rmg/installation/anacondaUser.rst | 2 +- .../source/users/rmg/installation/index.rst | 8 ++++---- documentation/source/users/rmg/releaseNotes.rst | 12 ++++++++++++ rmgpy/version.py | 2 +- 5 files changed, 20 insertions(+), 8 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index 9961ed16641..ae095d0c8d5 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -6,7 +6,7 @@ # package: name: rmg - version: 3.3.0 + version: 4.0.0.rc1 source: path: ../ @@ -67,7 +67,7 @@ requirements: - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry - - rmg::rmgdatabase =3.3.0 + - rmg::rmgdatabase =4.0.0.rc1 - blas=*=openblas run: *runtime_requirements test: diff --git a/documentation/source/users/rmg/installation/anacondaUser.rst b/documentation/source/users/rmg/installation/anacondaUser.rst index 8871cd09a6f..2d31437543b 100644 --- a/documentation/source/users/rmg/installation/anacondaUser.rst +++ b/documentation/source/users/rmg/installation/anacondaUser.rst @@ -19,7 +19,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX To install a specific version of RMG, add the version to the install command:: - conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==3.3.0' + conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==4.0.0.rc1' Not all versions of RMG are available via conda for all platforms. Check the `official RMG conda channel `_ to see which are available for download. diff --git a/documentation/source/users/rmg/installation/index.rst b/documentation/source/users/rmg/installation/index.rst index 8616e563097..b3831475d82 100644 --- a/documentation/source/users/rmg/installation/index.rst +++ b/documentation/source/users/rmg/installation/index.rst @@ -16,17 +16,17 @@ RMG is primarily distributed using Docker, a software package for delivering app #. Download and install `Docker `_. -#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:3.3.0``. +#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:4.0.0.rc1``. This step may take some time as the image is downloaded. -#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:3.3.0`` +#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:4.0.0.rc1`` This command will make the folder ``C:\Users\rmguser\myrmgfiles`` on your computer accessible from inside the container to easily edit and transfer input and output files. Change the path to match your individual computer. If the folder does not exist when the command is run, it will be created. - If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:3.3.0`` instead. + If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:4.0.0.rc1`` instead. And you can start the jupyter notebook by running ``jupyter notebook --ip 0.0.0.0 --no-browser --allow-root`` inside the container. Then you can access the jupyter notebook from your browser by going to ``http://localhost:8888``. You may need to copy and paste the token from the terminal into the browser to access the notebook. @@ -40,7 +40,7 @@ For users unfamiliar with bash or Linux, we recommend looking at `Must Know Linux/Unix Commands `_. .. NOTE:: - The docker instructions above which specify ``rmg:3.3.0`` are for the version 3.3.0 release of RMG-Py (July 2025), the user guide for which is archived in a `4mb PDF here `_. + The docker instructions above which specify ``rmg:4.0.0.rc1`` are for the version 4.0.0.rc1 release of RMG-Py (April 2026), the user guide for which is archived in a `4mb PDF here `_. If you want to use the latest development version, which corresponds to the user guide you are reading online `on the RMG website `_, you can replace the version number in the docker pull command with "latest" or omit it entirely. For example, you can run ``docker pull reactionmechanismgenerator/rmg:latest`` or ``docker pull reactionmechanismgenerator/rmg`` to get the latest development version corresponding to `the main branch `_. Be sure to also change the version number in the docker run commands to match the version you pulled. diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index a6ef6225d10..b004a4c2e23 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -4,6 +4,18 @@ Release Notes ************* +RMG-Py Version 4.0.0.rc1 +==================== +Date: April 24, 2026 + +TODO: fill out + +RMG-Database Version 4.0.0.rc1 +========================== +Date: April 24, 2026 + +TODO: fill out + RMG-Py Version 3.3.0 ==================== Date: July 10, 2025 diff --git a/rmgpy/version.py b/rmgpy/version.py index c77bee82397..5cbd65179b4 100644 --- a/rmgpy/version.py +++ b/rmgpy/version.py @@ -33,4 +33,4 @@ This value can be accessed via `rmgpy.__version__`. """ -__version__ = '3.3.0' +__version__ = '4.0.0.rc1' From b90c866e5590f8c317981ec64e0a1097644f6c83 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 13 May 2026 08:35:40 -0400 Subject: [PATCH 529/700] update notation in test_parse_thermo_comments --- test/rmgpy/data/thermoTest.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index 0b5b1f6de38..a55c5eb96e7 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -584,33 +584,33 @@ def test_parse_thermo_comments(self): # Gas library + adsorption correction CH2X = rmgpy.species.Species(smiles="[CH2]=*") CH2X.thermo = rmgpy.thermo.NASA() - CH2X.thermo.comment = 'Gas phase thermo for CH2(T) from Thermo library: primaryThermoLibrary. Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111(C=*R2)' + CH2X.thermo.comment = 'Gas phase thermo for CH2(T) from Thermo library: primaryThermoLibrary. Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111(C=XR2)' source = self.database.extract_source_from_comments(CH2X) assert "Library" in source assert source["Library"] == "primaryThermoLibrary" assert "ADS" in source - assert source['ADS']['adsorptionPt111'][0][0].label == 'C=*R2' + assert source['ADS']['adsorptionPt111'][0][0].label == 'C=XR2' assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution # GAV gas + adsorption correction CO2X = rmgpy.species.Species(smiles="O=C=O.*") CO2X.thermo = rmgpy.thermo.NASA() - CO2X.thermo.comment = 'Gas phase thermo for O=C=O from Thermo group additivity estimation: group(Cdd-OdOd). Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111((CR2)*)' + CO2X.thermo.comment = 'Gas phase thermo for O=C=O from Thermo group additivity estimation: group(Cdd-OdOd). Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111((CR2)X)' source = self.database.extract_source_from_comments(CO2X) assert "GAV" in source assert source["GAV"]["group"][0][0].label == "Cdd-OdOd" assert source["GAV"]["group"][0][1] == 1 # weight should be 1 assert len(source["GAV"]["group"]) == 1 # there should only be one GAV contribution assert "ADS" in source - assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2)*' + assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2)X' assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution # Gas library + radical for HBI + adsorption correction CHOX = rmgpy.species.Species(smiles="O=[CH]*") CHOX.thermo = rmgpy.thermo.NASA() - CHOX.thermo.comment = 'Gas phase thermo for [CH]=O from Thermo library: primaryThermoLibrary + radical(HCdsJO). Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C-*R3)' + CHOX.thermo.comment = 'Gas phase thermo for [CH]=O from Thermo library: primaryThermoLibrary + radical(HCdsJO). Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C-XR3)' source = self.database.extract_source_from_comments(CHOX) assert "Library" in source assert source["Library"] == "primaryThermoLibrary" @@ -619,7 +619,7 @@ def test_parse_thermo_comments(self): assert source["GAV"]["radical"][0][1] == 1 # weight should be 1 assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution assert "ADS" in source - assert source['ADS']['adsorptionPt111'][0][0].label == 'C-*R3' + assert source['ADS']['adsorptionPt111'][0][0].label == 'C-XR3' assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution From 130282dd9c17e2cd1c691c518e3484a714b29c82 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 13 May 2026 08:41:51 -0400 Subject: [PATCH 530/700] additional fixes for parse_thermo --- test/rmgpy/data/thermoTest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index a55c5eb96e7..a2d9886cf07 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -631,7 +631,7 @@ def test_parse_thermo_comments(self): assert "Library" in source assert source["Library"] == "primaryThermoLibrary" assert 'ADS' in source - assert source['ADS']['adsorptionPt111'][0][0].label == 'O=*' + assert source['ADS']['adsorptionPt111'][0][0].label == 'OX' assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution @@ -646,7 +646,7 @@ def test_parse_thermo_comments(self): assert source["GAV"]["radical"][0][1] == 1 # weight should be 1 assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution assert "ADS" in source - assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2CR)*' + assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2CR)X' assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1 assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution From 91c2dc68fb9c32ff91d29f6a6649fda4ecd09e7e Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 13 May 2026 08:44:11 -0400 Subject: [PATCH 531/700] fix test_adsorbate_thermo_raises_error --- test/rmgpy/data/thermoTest.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index a2d9886cf07..f28d73676f9 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -1249,26 +1249,26 @@ def test_adsorbate_thermo_raises_error(self): ) groups = self.database.groups["adsorptionPt111"].entries # save a few things we're about to change - _nstarparent = groups["N*"].parent - _nstardata = groups["N*"].data - _ostardata = groups["O*"].data + _nstarparent = groups["NX"].parent + _nstardata = groups["NX"].data + _ostardata = groups["OX"].data # change the database to cause errors - groups["N*"].data = None - groups["N*"].parent = None + groups["NX"].data = None + groups["NX"].parent = None with pytest.raises(DatabaseError, match="Could not find an adsorption correction"): thermo = self.database.get_thermo_data(spec) - groups["N*"].data = "O*" - groups["O*"].data = "N*" + groups["NX"].data = "OX" + groups["OX"].data = "NX" with pytest.raises(DatabaseError, match="circular reference"): thermo = self.database.get_thermo_data(spec) - groups["N*"].data = "O*" - groups["O*"].data = "foobar" + groups["NX"].data = "OX" + groups["OX"].data = "foobar" with pytest.raises(DatabaseError, match="non-existing group"): thermo = self.database.get_thermo_data(spec) # Now restore the database to working order - groups["N*"].parent = _nstarparent - groups["N*"].data = _nstardata - groups["O*"].data = _ostardata + groups["NX"].parent = _nstarparent + groups["NX"].data = _nstardata + groups["OX"].data = _ostardata def test_adsorbate_thermo_generation_bidentate_weird_CO(self): """Test thermo generation for a bidentate adsorbate weird resonance of CO From c8fd58933536055f9442f130f80ea70bd23148df Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 14 May 2026 02:26:12 +0000 Subject: [PATCH 532/700] =?UTF-8?q?Upgrade=20CI=20actions:=20setup-minicon?= =?UTF-8?q?da=20v3=E2=86=92v4,=20install-juliaup=20v2=E2=86=92v3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit GitHub Actions emits a deprecation warning when actions run on Node.js 20: "conda-incubator/setup-miniconda@v3 and julia-actions/install-juliaup@v2 are running on Node.js 20 and may not work as expected." Both actions have released newer major versions that move to Node.js 24: - conda-incubator/setup-miniconda v4 (Node.js 24) - julia-actions/install-juliaup v3 (Node.js 24) Upgrade all three workflow files (CI.yml, conda_build.yml, docs.yml) to remove these warnings and ensure continued compatibility as GitHub eventually retires Node.js 20 runners. Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/89dd52b8-94be-44c3-b6b7-8031ca29802e Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- .github/workflows/CI.yml | 8 ++++---- .github/workflows/conda_build.yml | 2 +- .github/workflows/docs.yml | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index af1ba441207..ac832c7ece9 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -81,7 +81,7 @@ jobs: uses: actions/checkout@v6 - name: Setup Miniforge Python ${{ matrix.python-version }} - uses: conda-incubator/setup-miniconda@v3 + uses: conda-incubator/setup-miniconda@v4 with: environment-file: environment.yml miniforge-variant: Miniforge3 @@ -109,7 +109,7 @@ jobs: - name: Setup Juliaup if: matrix.include-rms == 'with RMS' - uses: julia-actions/install-juliaup@v2 + uses: julia-actions/install-juliaup@v3 with: channel: '1.10' @@ -148,7 +148,7 @@ jobs: uses: actions/checkout@v6 - name: Setup Miniforge Python 3.9 - uses: conda-incubator/setup-miniconda@v3 + uses: conda-incubator/setup-miniconda@v4 with: environment-file: environment.yml miniforge-variant: Miniforge3 @@ -179,7 +179,7 @@ jobs: conda create --name rmg_env_without_rms -f environment.yml - name: Setup Juliaup - uses: julia-actions/install-juliaup@v2 + uses: julia-actions/install-juliaup@v3 with: channel: '1.10' diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 9ec44a364ed..6918d7567b1 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -48,7 +48,7 @@ jobs: - uses: actions/checkout@v6 - name: Setup Miniforge - uses: conda-incubator/setup-miniconda@v3 + uses: conda-incubator/setup-miniconda@v4 with: miniforge-variant: Miniforge3 miniforge-version: latest diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index cf46942b948..df01daf9e88 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -28,7 +28,7 @@ jobs: fetch-depth: 0 - name: Setup Miniforge Python 3.11 - uses: conda-incubator/setup-miniconda@v3 + uses: conda-incubator/setup-miniconda@v4 with: environment-file: environment.yml miniforge-variant: Miniforge3 From 3ae660b5a559490c7d259e959ef56119c1f44546 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 14 May 2026 17:35:54 +0000 Subject: [PATCH 533/700] Upgrade remaining CI actions to latest major versions MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Also upgrade the following actions across all workflow files, checking each for breaking changes and adapting the call sites where needed: - docker/setup-qemu-action v3 → v4 (Node.js 24, no API changes) - docker/setup-buildx-action v3 → v4 (Node.js 24, removes deprecated inputs/outputs that we don't use) - docker/login-action v3 → v4 (Node.js 24, no API changes) - docker/build-push-action v6 → v7 (Node.js 24, removes DOCKER_BUILD_* env vars we don't use) - actions/upload-artifact v4 → v7 (Node.js 24, adds direct-upload feature; no interface changes affecting our usage) - actions/download-artifact v4 → v8 (v5 breaking change only affects by-ID downloads; we download by name so it is safe) - actions/github-script v8 → v9 (breaking change is require('@actions/ github') no longer works; we only use the injected github.rest client and Node built-in require('fs'), both of which still work) - thollander/actions-comment-pull-request v2 → v3 (breaking parameter renames: filePath→file-path, pr_number→pr-number; updated in annotate.yml accordingly) Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/a5d5cf7e-139d-41e9-9e56-8a312fbeff41 Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- .github/workflows/CI.yml | 20 ++++++++++---------- .github/workflows/annotate.yml | 8 ++++---- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index ac832c7ece9..ac89ad332aa 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -214,7 +214,7 @@ jobs: # Upload Regression Results as Failed if above step failed - name: Upload Failed Results if: ${{ failure() && steps.regression-execution.conclusion == 'failure' }} - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 with: name: failed_regression_results path: | @@ -224,7 +224,7 @@ jobs: - name: Upload Results as Reference # upload the results for scheduled CI (on main) and pushes to main if: ${{ env.REFERENCE_JOB == 'true' }} - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 with: name: stable_regression_results path: | @@ -233,7 +233,7 @@ jobs: # Upload Regression Results as Dynamic if Push to non-main Branch - name: Upload Results as Dynamic if: ${{ env.REFERENCE_JOB == 'false' }} - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 with: name: dynamic_regression_results path: | @@ -259,7 +259,7 @@ jobs: - name: Retrieve Stable Regression Results if: ${{ env.REFERENCE_JOB == 'false' }} - uses: actions/download-artifact@v4 + uses: actions/download-artifact@v8 with: # download stable regression results run-id: ${{ env.CI_RUN_ID }} @@ -391,14 +391,14 @@ jobs: - name: Upload regression summary artifact # the annotate workflow uses this artifact to add a comment to the PR - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 if: ${{ github.event_name == 'pull_request' }} with: name: regression_summary path: summary.txt - name: Upload Comparison Results - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v7 with: name: regression_test_comparison_results path: | @@ -423,20 +423,20 @@ jobs: (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'ReactionMechanismGenerator/RMG-Py') steps: - name: Set up QEMU - uses: docker/setup-qemu-action@v3 + uses: docker/setup-qemu-action@v4 - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 + uses: docker/setup-buildx-action@v4 - name: Login to Docker Hub if: github.ref == 'refs/heads/main' && github.repository == 'ReactionMechanismGenerator/RMG-Py' - uses: docker/login-action@v3 + uses: docker/login-action@v4 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Build (and Push if on main) - uses: docker/build-push-action@v6 + uses: docker/build-push-action@v7 env: BUILDKIT_PROGRESS: plain with: diff --git a/.github/workflows/annotate.yml b/.github/workflows/annotate.yml index 027efe54501..13acf588eef 100644 --- a/.github/workflows/annotate.yml +++ b/.github/workflows/annotate.yml @@ -21,7 +21,7 @@ jobs: steps: - run: echo 'The triggering workflow passed' - name: 'Download regression_summary artifact' - uses: actions/github-script@v8 + uses: actions/github-script@v9 with: script: | let allArtifacts = await github.rest.actions.listWorkflowRunArtifacts({ @@ -51,10 +51,10 @@ jobs: sed -i '1d' summary.txt - name: Write summary to pull request as a comment - uses: thollander/actions-comment-pull-request@v2 + uses: thollander/actions-comment-pull-request@v3 with: - filePath: summary.txt - pr_number: ${{ env.PR_NUMBER }} + file-path: summary.txt + pr-number: ${{ env.PR_NUMBER }} - name: Report the github.event.workflow_run as json if: ${{ failure() }} From 81e4602cde118a450bfc81da0ff8d2e5b30a29e3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 14 May 2026 23:32:48 -0400 Subject: [PATCH 534/700] Use eigh for moment-of-inertia diagonalization MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The CI test test_co2_linear_rotor has been failing sporadically with "TypeError: '<' not supported between instances of 'complex' and 'complex'" raised from arkane/common.py:get_principal_moments_of_inertia. CO2 (and any linear molecule) has a doubly-degenerate eigenvalue in its inertia tensor, and np.linalg.eig's generic routine occasionally returns a complex128 array with tiny imaginary noise on degenerate spectra. The downstream sorted() call then chokes on complex comparison. Whether the noise is exactly zero depends on input rounding, which is why the failure is flaky. The inertia tensor is real and symmetric by construction so np.linalg.eigh is the right routine: it is specialised for symmetric/Hermitian matrices, guarantees real eigenvalues, and is what arkane/statmech.py already uses for analogous diagonalisations. The fix is applied in two places that had the same latent bug: * arkane/common.py:get_principal_moments_of_inertia — directly hits the sort and is the path that triggered the CI failure. * rmgpy/statmech/conformer.pyx:Conformer.get_principal_moments_of_inertia — same construction, same risk; would silently return complex-typed moments for linear species and pass them to downstream consumers. Co-Authored-By: Claude Opus 4.7 (1M context) --- arkane/common.py | 4 ++-- rmgpy/statmech/conformer.pyx | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/arkane/common.py b/arkane/common.py index a706417b886..938364ce49e 100644 --- a/arkane/common.py +++ b/arkane/common.py @@ -695,8 +695,8 @@ def get_principal_moments_of_inertia(coords, numbers=None, symbols=None): tuple: The corresponding principal axes. """ tensor0 = get_moment_of_inertia_tensor(coords=coords, numbers=numbers, symbols=symbols) - # Since tensor0 is real and symmetric, diagonalization is always possible - principal_moments_of_inertia, axes = np.linalg.eig(tensor0) + # tensor0 is real and symmetric by construction; use eigh so eigenvalues are guaranteed real. + principal_moments_of_inertia, axes = np.linalg.eigh(tensor0) principal_moments_of_inertia, axes = zip(*sorted(zip(np.ndarray.tolist(principal_moments_of_inertia), np.ndarray.tolist(axes)), reverse=True)) return principal_moments_of_inertia, axes diff --git a/rmgpy/statmech/conformer.pyx b/rmgpy/statmech/conformer.pyx index e3e911248db..4ee18b77ec7 100644 --- a/rmgpy/statmech/conformer.pyx +++ b/rmgpy/statmech/conformer.pyx @@ -326,8 +326,8 @@ cdef class Conformer(RMGObject): kg*m^2, while the principal axes have unit length. """ I0 = self.get_moment_of_inertia_tensor() - # Since I0 is real and symmetric, diagonalization is always possible - I, V = np.linalg.eig(I0) + # I0 is real and symmetric by construction; use eigh so eigenvalues are guaranteed real. + I, V = np.linalg.eigh(I0) return I, V @cython.boundscheck(False) From 05ae81036e2b040db70098542ed07f7f83d9a3ac Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 14 May 2026 13:31:04 -0400 Subject: [PATCH 535/700] Pin python=3.11 in environment.yml; update CI to rewrite pin per matrix environment.yml previously used `python >=3.9,<3.12` so that the conda-incubator/setup-miniconda action could safely inject a per-matrix equality pin without creating a contradiction. That broad range forces the solver to consider every compatible package set for all three Python micro-versions simultaneously, which makes fresh environment creation slow and, on some local setups with older libmamba, can cause the solver to hang indefinitely. Changes: - environment.yml: tighten the pin to `=3.11`. Users running `conda env create -f environment.yml` now get a fast solve because the solver only needs to consider packages for a single Python version. - CI.yml (build-and-test): add a "Pin Python version for CI matrix" step immediately after checkout that rewrites `=3.11` to the matrix python-version before setup-miniconda runs. The -i.bak/rm idiom works on both GNU sed (Linux) and BSD sed (macOS). - CI.yml (regression-test): upgrade the hardcoded python-version from 3.9 to 3.11. There is no technical requirement for regression tests to use an older Python; 3.9 was a historical artifact. With the pin already set to 3.11 in the file, setup-miniconda's injected `=3.11` is redundant but harmless. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/CI.yml | 12 ++++++++++-- environment.yml | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index ac89ad332aa..fee682f772f 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -80,6 +80,14 @@ jobs: - name: Checkout RMG-Py uses: actions/checkout@v6 + - name: Pin Python version for CI matrix + # environment.yml pins python=3.11 for fast user installs; rewrite to the + # matrix version here so setup-miniconda can inject the correct pin cleanly. + # The -i.bak / rm pattern works on both GNU sed (Linux) and BSD sed (macOS). + run: | + sed -i.bak "s/conda-forge::python =3\.11/conda-forge::python =${{ matrix.python-version }}/" environment.yml + rm -f environment.yml.bak + - name: Setup Miniforge Python ${{ matrix.python-version }} uses: conda-incubator/setup-miniconda@v4 with: @@ -147,13 +155,13 @@ jobs: - name: Checkout RMG-Py uses: actions/checkout@v6 - - name: Setup Miniforge Python 3.9 + - name: Setup Miniforge Python 3.11 uses: conda-incubator/setup-miniconda@v4 with: environment-file: environment.yml miniforge-variant: Miniforge3 miniforge-version: latest - python-version: 3.9 + python-version: 3.11 activate-environment: rmg_env auto-update-conda: true show-channel-urls: true diff --git a/environment.yml b/environment.yml index 39f4666f0fe..751d6e45b20 100644 --- a/environment.yml +++ b/environment.yml @@ -50,7 +50,7 @@ dependencies: - rmg::pysidt-rmg >=1.2 # Python tools - - conda-forge::python >=3.9,<3.12 # leave as GEQ so that GitHub actions can add EQ w/o breaking (contradictory deps) + - conda-forge::python =3.11 # pinned to a single version to keep solver fast; CI rewrites this to the matrix version (see CI.yml) - conda-forge::setuptools <80 - conda-forge::coverage - conda-forge::cython >=0.25.2,<3.1 From 41eae1989c2767d980fc804a2fcccf6d86974dc8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 14 May 2026 13:34:17 -0400 Subject: [PATCH 536/700] Update source install docs with build-tool prerequisites and python pin note Two classes of problems encountered during a macOS source install were not covered by the existing documentation: 1. An outdated Xcode Command Line Tools installation (Apple clang 11, from 2019) causes `make` to fail with "clang: error: invalid version number in 'MACOSX_DEPLOYMENT_TARGET'" because that vintage of clang does not recognise macOS deployment targets >= 11.0. Added a warning at the top of the page explaining how to detect and fix this, with the recommended reinstall command. 2. Conda versions older than ~24.0 (particularly libmamba 2.1.x) can hang indefinitely when solving the RMG environment. Added guidance to check and update conda before starting, including the `conda install -n base conda=26.3` workaround for cases where `conda update` fails to advance the version. Also added a brief note alongside the `conda env create` step explaining why environment.yml now pins Python 3.11 (faster solves), and cross-referenced the macOS CLT warning from the compiler prerequisites section. Co-Authored-By: Claude Sonnet 4.6 --- .../rmg/installation/anacondaDeveloper.rst | 45 ++++++++++++++++--- 1 file changed, 39 insertions(+), 6 deletions(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index c3a3ee6cd6c..f983d5cb136 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -4,6 +4,35 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux and Mac OSX ******************************************************************************************* +.. warning:: + + **Before you begin — check your build tools are up to date.** + + RMG-Py compiles Cython extensions during installation, so your C compiler and + conda installation must be reasonably modern or the build will fail. + + **On macOS:** Ensure your Xcode Command Line Tools are current. An outdated + installation (more than a year or two old) will cause ``make`` to fail with a + ``clang: error: invalid version number`` message. To check:: + + clang --version + + If the reported version is older than Apple clang 13, reinstall the tools:: + + sudo rm -rf /Library/Developer/CommandLineTools + xcode-select --install + + **conda version:** Ensure conda is version 24.0 or newer (run ``conda --version`` + to check). Older versions use a slower solver that can hang indefinitely when + creating the RMG environment. To update:: + + conda update -n base -c conda-forge conda + + If ``conda update`` does not advance the version, install a specific release + explicitly:: + + conda install -n base -c conda-forge conda=26.3 + #. Install the `conda` package manager via `miniforge`, if you do not already have it (or Anaconda), by following the `Miniforge installation instructions `_. #. If your `conda` version is older than 23.10.0, manually switch the solver backend to `libmamba` (or update your conda):: @@ -40,6 +69,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux These are a set of packages relevant for software development which have been bundled together by Apple. The easiest way to install this is to simply run one of the commands in the terminal, e.g. ``git``. The terminal will then prompt you to install the Command Line Tools. + See the warning at the top of this page about keeping the tools up to date. #. Install the latest versions of RMG and RMG-database through cloning the source code via Git. Make sure to start in an appropriate local directory where you want both RMG-Py and RMG-database folders to exist. @@ -51,7 +81,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux It is still possible to clone the repositories using ``https`` if you are unfamiliar with ``ssh``:: - + git clone https://github.com/ReactionMechanismGenerator/RMG-Py.git git clone https://github.com/ReactionMechanismGenerator/RMG-database.git @@ -61,7 +91,10 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux cd RMG-Py -#. Create the conda environment for RMG-Py:: +#. Create the conda environment for RMG-Py. + + The ``environment.yml`` file pins Python 3.11, so the solver only needs to + consider packages for a single Python version and the solve completes quickly:: conda env create -f environment.yml @@ -89,10 +122,10 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux - nodefaults channel_priority: strict custom_channels: - main: null - r: null - anaconda: null - msys2: null + main: null + r: null + anaconda: null + msys2: null #. Activate conda environment :: From 86080bcc321e8c6313b4497b78d812fcfd1792ea Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 14 May 2026 13:53:58 -0400 Subject: [PATCH 537/700] Edit the installation instructions (from source in Anaconda environment) Previous version written by Claude. These changes written by me. --- .../rmg/installation/anacondaDeveloper.rst | 45 ++++++------------- 1 file changed, 13 insertions(+), 32 deletions(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index f983d5cb136..3424aca176e 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -4,41 +4,27 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux and Mac OSX ******************************************************************************************* -.. warning:: - - **Before you begin — check your build tools are up to date.** +#. Before you begin — check your build tools are up to date. RMG-Py compiles Cython extensions during installation, so your C compiler and conda installation must be reasonably modern or the build will fail. - **On macOS:** Ensure your Xcode Command Line Tools are current. An outdated - installation (more than a year or two old) will cause ``make`` to fail with a - ``clang: error: invalid version number`` message. To check:: - - clang --version - - If the reported version is older than Apple clang 13, reinstall the tools:: + **On MacOS:** Ensure your Xcode Command Line Tools are current. If more than a year or two old, reinstall the tools:: sudo rm -rf /Library/Developer/CommandLineTools xcode-select --install - **conda version:** Ensure conda is version 24.0 or newer (run ``conda --version`` - to check). Older versions use a slower solver that can hang indefinitely when - creating the RMG environment. To update:: + **conda version:** Ensure conda is also up to date. To update:: conda update -n base -c conda-forge conda - If ``conda update`` does not advance the version, install a specific release - explicitly:: + If ``conda update`` does not advance the version (which can happen), install a specific release explicitly, e.g.:: conda install -n base -c conda-forge conda=26.3 -#. Install the `conda` package manager via `miniforge`, if you do not already have it (or Anaconda), by following the `Miniforge installation instructions `_. +#. If you do not already have the `conda` package manager (or Anaconda) then install it via `miniforge`, by following the `Miniforge installation instructions `_. -#. If your `conda` version is older than 23.10.0, manually switch the solver backend to `libmamba` (or update your conda):: - conda install -n base conda-libmamba-solver - conda config --set solver libmamba #. There are a few system-level dependencies which are required and should not be installed via Conda. These include `Git `_ for version control, `GNU Make `_, and the C and C++ compilers from the `GNU Compiler Collection (GCC) `_ for compiling RMG. @@ -69,7 +55,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux These are a set of packages relevant for software development which have been bundled together by Apple. The easiest way to install this is to simply run one of the commands in the terminal, e.g. ``git``. The terminal will then prompt you to install the Command Line Tools. - See the warning at the top of this page about keeping the tools up to date. + See the warning in step 1 about keeping the tools up to date. #. Install the latest versions of RMG and RMG-database through cloning the source code via Git. Make sure to start in an appropriate local directory where you want both RMG-Py and RMG-database folders to exist. @@ -93,8 +79,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux #. Create the conda environment for RMG-Py. - The ``environment.yml`` file pins Python 3.11, so the solver only needs to - consider packages for a single Python version and the solve completes quickly:: + To create an environment called ``rmg_env`` containing all that you need for RMG, run:: conda env create -f environment.yml @@ -102,17 +87,13 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux conda env create -f environment.yml -n rmg_env2 - If either of these commands return an error due to being unable to find the ``conda`` command, - try to either close and reopen your terminal to refresh your environment variables - or type the following command. - - If on Linux or pre-Catalina MacOS (or if you have a bash shell):: - - source ~/.bashrc + If you have a recent version of conda (``conda -V`` reports >= 26.3) then the preferred command is without the ``env`` subcommand:: - If on MacOS Catalina or later (or if you have a Z shell):: + conda create --file environment.yml --name rmg_env - source ~/.zshrc + If any of these commands return an error due to being unable to find the ``conda`` command, + (for example if you only just installed it) + then close and reopen your terminal (or log out and log in again) to refresh your environment variables. NOTE: You may wish to forbid ``conda`` from installing from the Anaconda channels due to licensing restrictions. The ``environment.yml`` file already forbids using default channels, but you may further add the file ``.condarc`` to your RMG-Py directory (or modify the ``.condarc`` in your home directory) with the following contents before running the ``conda env create`` command: :: @@ -152,7 +133,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux Installing Julia and ReactionMechanismSimulator.jl (RMS) will enable all the features in RMG that require RMS-based reactors, as well as using ``method='ode'`` when solving the Master Equation with Arkane. - Note that installing RMS can cause errors when running Cantera simulations; this should not affect normal RMG use, but if you wish to run Cantera simulations you will need to maintain a separate conda environment without RMS in it. + Note that installing RMS has sometimes caused errors when running Cantera; this should not affect normal RMG use, but if you wish to run Cantera simulations you might need to use a separate conda environment without RMS in it. Ensure that you have modified your environment variables as described above, and then run the following: :: From 753f4c56f9a2bb3250cd69973176e1f139fa50d4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 14 May 2026 16:08:50 -0400 Subject: [PATCH 538/700] Avoid telling people to sudo rm -rf anything. You just know someone is going to copy and paste that incorrectly into their terminal.... --- .../source/users/rmg/installation/anacondaDeveloper.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst index 3424aca176e..eb56f1faa6f 100644 --- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst +++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst @@ -9,9 +9,8 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux RMG-Py compiles Cython extensions during installation, so your C compiler and conda installation must be reasonably modern or the build will fail. - **On MacOS:** Ensure your Xcode Command Line Tools are current. If more than a year or two old, reinstall the tools:: + **On MacOS:** Ensure your Xcode Command Line Tools are current. If they are more than a year or two old, either download the latest Command Line Tools from `Apple Developer Downloads `_ (free Apple ID required) or manually remove them and reinstall them using:: - sudo rm -rf /Library/Developer/CommandLineTools xcode-select --install **conda version:** Ensure conda is also up to date. To update:: From fa5b23d7922a3644f70f5af72764bc1b379a3c87 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 00:33:21 -0400 Subject: [PATCH 539/700] Add pip to the conda environment.yml. We need this to `make install`. Also removed some old redundant comments. --- environment.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/environment.yml b/environment.yml index 751d6e45b20..bd61b46d04a 100644 --- a/environment.yml +++ b/environment.yml @@ -28,12 +28,9 @@ dependencies: - conda-forge::xlrd - conda-forge::xlwt - conda-forge::h5py - # keep graphviz from conda-forge; see https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2750 - conda-forge::graphviz >=12 - conda-forge::markupsafe - conda-forge::psutil - # conda-forge not default, since default has a version information bug - # (see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2421) - conda-forge::ncurses - conda-forge::suitesparse # ThermoCentralDatabaseInterface fails if pyopenssl is too old. 20 is just a guess at the version number. @@ -60,6 +57,7 @@ dependencies: - conda-forge::pydot - conda-forge::jinja2 - conda-forge::jupyter + - conda-forge::pip - conda-forge::pymongo - conda-forge::pyparsing - conda-forge::pyyaml From dbdd006cd7564cb502f1100348998e6cca9c0aa6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 14:50:55 -0400 Subject: [PATCH 540/700] conda_build: add 180min timeout, runner-info step, light solver verbosity Replace GitHub Actions' default 6-hour silent kill with a job-level timeout-minutes: 180 so a future hang fails fast and attributably. Add a "Show solver and runner info" step that snapshots conda info, configured channels, base env, kernel info, and RAM/CPU once per matrix cell. Portable across Linux and macOS runners; costs a handful of log lines and gives whoever debugs the next hang the runner state for free. Set CONDA_VERBOSITY=1 on the build step so "Solver attempt: #N" markers and the install plan appear in the CI log, narrowing any future hang to a phase without the repodata-fetch flood that --debug produces. Matrix, shell, and channel configuration are unchanged from before the diagnostic work; the .conda recipe fixes that made the full matrix buildable (variant pinning, raised vestigial floors, test-only deps out of host:/run:, strict channel priority) live in their own commits. This was two commits, merged when rebasing. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/conda_build.yml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 6918d7567b1..430300cce7a 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -12,6 +12,10 @@ on: - stable jobs: build: + # Hard cap so a solver hang fails attributably instead of consuming the + # default 6-hour runner allotment in silence (as happened on macos-15-intel + # before the .conda recipe was tightened in this branch). + timeout-minutes: 180 strategy: fail-fast: false matrix: @@ -61,7 +65,23 @@ jobs: - name: Install Build Tools run: conda install python anaconda-client conda-build + - name: Show solver and runner info + # Small diagnostic snapshot — captures conda version, configured + # channels, base env contents, and runner CPU/RAM. Cheap to keep + # in CI and invaluable when something starts hanging again. + run: | + conda info + conda config --show-sources + conda list -n base | head -40 + uname -a + sysctl hw.memsize hw.ncpu hw.physicalcpu 2>/dev/null || cat /proc/meminfo 2>/dev/null | head -3 || true + - name: Build Binary + env: + # Light verbosity bump over default. Surfaces libmamba "Solver + # attempt: #N" markers and per-package install plans in the log + # without dragging in the firehose that --debug produces. + CONDA_VERBOSITY: "1" run: | # set a default value to the conda_token if needed (like from forks) : "${CONDA_TOKEN:=${{ secrets.ANACONDA_TOKEN }}}" From 2522ed939c71705df6302242a889f07023dc6773 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 15:33:38 -0400 Subject: [PATCH 541/700] Reduce conda-build solver search space in .conda recipe The conda_build job hangs for 6 hours on macos-15-intel before being killed by the default job timeout. Local instrumentation showed the time is spent in libmamba solver phases, not network or compilation, and that conda-build's "Getting pinned dependencies" phase runs the solver against the full internal-defaults variant matrix (every supported python and numpy combination) on top of the meta.yaml constraint set. The conda-forge osx-64 repodata is ~46 MB and the resulting solve space is large enough that backtracking on Intel can blow past the 6-hour wall clock even when linux-64 and osx-arm64 succeed in 20-30 minutes. Three changes to attack the search space: 1. Add .conda/conda_build_config.yaml restricting variant axes to python in {3.9, 3.10, 3.11} and numpy in {1.26}. This overrides conda-build's internal_defaults, which would otherwise include python 3.12+, every supported numpy minor, and other axes the recipe does not exercise. 2. Tighten clearly-vestigial open floors in meta.yaml. cython >=0.25.2 (a 2017 release) and numpy >=1.10.0 (2015) force the solver to reason about ancient versions for every constraint they touch. The floors are raised to versions actually in use: cython >=3.0, numpy >=1.24, scipy >=1.13, setuptools >=70. 3. Move test-only dependencies (pytest, pytest-cov, pytest-check, coverage, jupyter) out of host:/run: into test.requires. The test environment inherits run, so listing these only in test.requires keeps them available for the test phase without constraining the build/host solve. jupyter is not imported anywhere in rmgpy or arkane and was only needed for notebook examples. python is intentionally left as a loose range in meta.yaml (matching environment.yml) so the CI matrix's CONDA_PY override does not produce a contradictory-deps error; the real variant pin is in conda_build_config.yaml. Co-Authored-By: Claude Sonnet 4.6 --- .conda/conda_build_config.yaml | 14 ++++++++++++++ .conda/meta.yaml | 28 ++++++++++++++++++---------- 2 files changed, 32 insertions(+), 10 deletions(-) create mode 100644 .conda/conda_build_config.yaml diff --git a/.conda/conda_build_config.yaml b/.conda/conda_build_config.yaml new file mode 100644 index 00000000000..cf21a45b5be --- /dev/null +++ b/.conda/conda_build_config.yaml @@ -0,0 +1,14 @@ +# Restrict conda-build's variant matrix so the solver does not enumerate +# python/numpy combinations from internal_defaults. The CI workflow's +# CONDA_PY env var narrows to one of these python versions per matrix cell. +# +# Without this file, conda-build considers every (python, numpy) pair from +# its internal defaults during the "Getting pinned dependencies" phase, +# which substantially enlarges the search space the libmamba solver has +# to traverse. +python: + - 3.9 + - 3.10 + - 3.11 +numpy: + - 1.26 diff --git a/.conda/meta.yaml b/.conda/meta.yaml index ae095d0c8d5..fbf052158af 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -4,6 +4,9 @@ # RMG-Py into binaries which can then be uploaded for access via the conda package manager # to use this file, you can follow the procedure shown in .github/workflows/conda_build.yml # +# Variant axes (python, numpy) are pinned in .conda/conda_build_config.yaml so that +# conda-build does not enumerate every combination from its internal defaults. +# package: name: rmg version: 4.0.0.rc1 @@ -39,23 +42,21 @@ requirements: - conda-forge::cclib >=1.6.3,<1.9 - conda-forge::openbabel >=3 - conda-forge::rdkit >=2022.09.1 + # python intentionally left loose so the CI matrix (via CONDA_PY) + # can pin it without a contradictory-deps error. The real variant pin + # lives in .conda/conda_build_config.yaml. - conda-forge::python >=3.9,<3.12 - - conda-forge::setuptools <80 - - conda-forge::coverage - - conda-forge::cython >=0.25.2,<3.1 + - conda-forge::setuptools >=70,<80 + - conda-forge::cython >=3.0,<3.1 - conda-forge::scikit-learn - - conda-forge::scipy >=1.9 - - conda-forge::numpy >=1.10.0,<2 + - conda-forge::scipy >=1.13 + - conda-forge::numpy >=1.24,<2 - conda-forge::pydot - conda-forge::jinja2 - - conda-forge::jupyter - conda-forge::pymongo - conda-forge::pyparsing - conda-forge::pyyaml - conda-forge::networkx - - conda-forge::pytest - - conda-forge::pytest-cov - - conda-forge::pytest-check - conda-forge::pyutilib - conda-forge::matplotlib >=1.5 - conda-forge::mpmath @@ -71,7 +72,14 @@ requirements: - blas=*=openblas run: *runtime_requirements test: - requires: *runtime_requirements + # Test environment automatically inherits the run requirements; only + # list test-only extras here so they don't constrain the build/host solve. + requires: + - conda-forge::pytest + - conda-forge::pytest-cov + - conda-forge::pytest-check + - conda-forge::coverage + - conda-forge::jupyter source_files: - 'examples/rmg/superminimal' - 'examples/arkane/networks/n-butanol_msc' From 1a61036027bbca9f87ab1a74e203b541f7eee9d8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 15:58:33 -0400 Subject: [PATCH 542/700] Tighten further open floors in conda recipe based on candidate count Followup to the previous search-space reduction. Counted, against the locally-cached conda-forge/osx-64 repodata, how many builds each spec admits and how the constraint cliff is shaped. Five specs still had either no floor or a floor from before the Python 3 era. Raising them to floors that are well below what the working rmg_env actually runs (rmg_env18: h5py 3.12.1, rdkit 2025.09.5, scikit-learn 1.8.0, matplotlib 3.10.9, pandas 3.0.3) removes ~1230 candidate builds the solver no longer has to traverse: h5py (no floor) -> >=3.10 drops 444 candidates pandas (no floor) -> >=2 drops 339 scikit-learn (no floor) -> >=1.3 drops 239 matplotlib >=1.5 -> >=3.5 drops 109 rdkit >=2022.09.1 -> >=2024 drops 94 Co-Authored-By: Claude Sonnet 4.6 --- .conda/meta.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index fbf052158af..372c929fa6f 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -29,7 +29,7 @@ requirements: - conda-forge::ffmpeg >=7 - conda-forge::xlrd - conda-forge::xlwt - - conda-forge::h5py + - conda-forge::h5py >=3.10 - conda-forge::graphviz >=12 - conda-forge::markupsafe - conda-forge::psutil @@ -41,14 +41,14 @@ requirements: - conda-forge::mopac - conda-forge::cclib >=1.6.3,<1.9 - conda-forge::openbabel >=3 - - conda-forge::rdkit >=2022.09.1 + - conda-forge::rdkit >=2024 # python intentionally left loose so the CI matrix (via CONDA_PY) # can pin it without a contradictory-deps error. The real variant pin # lives in .conda/conda_build_config.yaml. - conda-forge::python >=3.9,<3.12 - conda-forge::setuptools >=70,<80 - conda-forge::cython >=3.0,<3.1 - - conda-forge::scikit-learn + - conda-forge::scikit-learn >=1.3 - conda-forge::scipy >=1.13 - conda-forge::numpy >=1.24,<2 - conda-forge::pydot @@ -58,9 +58,9 @@ requirements: - conda-forge::pyyaml - conda-forge::networkx - conda-forge::pyutilib - - conda-forge::matplotlib >=1.5 + - conda-forge::matplotlib >=3.5 - conda-forge::mpmath - - conda-forge::pandas + - conda-forge::pandas >=2 - conda-forge::gprof2dot - conda-forge::numdifftools - conda-forge::quantities !=0.16.0,!=0.16.1 From 8fd3e18c9bc744436c25a35428fa897c81681695 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 16:48:51 -0400 Subject: [PATCH 543/700] Set conda channel_priority to strict in conda_build workflow The workflow already prepends conda-forge ahead of rmg with two `conda config --add channels` calls (--add prepends). Adding strict priority on top means the solver will not even consider a package from the rmg channel if conda-forge offers it. This matters because the rmg channel still hosts a lot of stale osx-64 builds (cantera 2.4.0 py36, rdkit 2016 py27, numpy/scipy/ matplotlib/h5py from the py2.7/py3.6 era, etc). Under the default channel_priority of flexible, all of those entries get pulled into the libmamba solver's universe even though no modern constraint can ever pick them. Under strict they are skipped at the channel-priority filter, before they reach the constraint check. For packages that only exist in the rmg channel (pydas, pydqed, symmetry, rmgdatabase, pysidt-rmg) conda-forge has nothing to shadow them with, so strict priority still resolves them out of rmg. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/conda_build.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 430300cce7a..eb4f1cff646 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -89,6 +89,12 @@ jobs: echo "CONDA_TOKEN=$CONDA_TOKEN" >> $GITHUB_ENV conda config --add channels rmg conda config --add channels conda-forge + # --add prepends, so the final channel order is [conda-forge, rmg, ...]. + # Strict priority makes the solver skip lower-priority channels entirely + # for any package the higher-priority channel offers, which means it + # won't even load old rmg/osx-64 builds of cantera/numpy/rdkit/etc. + # as candidates (they're shadowed by conda-forge's modern builds). + conda config --set channel_priority strict conda config --set anaconda_upload no CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build . From f4b39fabd90a98bdff24486c7e10aa73b42740df Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 15 May 2026 23:19:09 +0000 Subject: [PATCH 544/700] Remove unused conda test-only dependencies from recipe Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/e377ccd3-4a9f-4608-9e9b-c8a2306ebfd0 Clarify why conda recipe test section has no extra deps Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/e377ccd3-4a9f-4608-9e9b-c8a2306ebfd0 Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- .conda/meta.yaml | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index 372c929fa6f..38dc44790e0 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -72,14 +72,8 @@ requirements: - blas=*=openblas run: *runtime_requirements test: - # Test environment automatically inherits the run requirements; only - # list test-only extras here so they don't constrain the build/host solve. - requires: - - conda-forge::pytest - - conda-forge::pytest-cov - - conda-forge::pytest-check - - conda-forge::coverage - - conda-forge::jupyter + # Keep this minimal: test commands below run import checks plus two example + # command-line runs, and do not invoke the pytest suite. source_files: - 'examples/rmg/superminimal' - 'examples/arkane/networks/n-butanol_msc' From 67b990c5aabd39ebd3e3b8747656bce91dff3418 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 15 May 2026 23:24:47 +0000 Subject: [PATCH 545/700] Sync environment.yml dependency floors with conda recipe Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/1889a1f7-0ff0-46f3-9cc1-85f6fca64bfc Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- environment.yml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/environment.yml b/environment.yml index bd61b46d04a..708ada40633 100644 --- a/environment.yml +++ b/environment.yml @@ -27,7 +27,7 @@ dependencies: - conda-forge::ffmpeg >= 7 - conda-forge::xlrd - conda-forge::xlwt - - conda-forge::h5py + - conda-forge::h5py >=3.10 - conda-forge::graphviz >=12 - conda-forge::markupsafe - conda-forge::psutil @@ -43,17 +43,17 @@ dependencies: # see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2639#issuecomment-2050292972 - conda-forge::cclib >=1.6.3,<1.9 - conda-forge::openbabel >= 3 - - conda-forge::rdkit >=2022.09.1 + - conda-forge::rdkit >=2024 - rmg::pysidt-rmg >=1.2 # Python tools - conda-forge::python =3.11 # pinned to a single version to keep solver fast; CI rewrites this to the matrix version (see CI.yml) - - conda-forge::setuptools <80 + - conda-forge::setuptools >=70,<80 - conda-forge::coverage - - conda-forge::cython >=0.25.2,<3.1 - - conda-forge::scikit-learn - - conda-forge::scipy >=1.9 - - conda-forge::numpy >=1.10.0,<2 + - conda-forge::cython >=3.0,<3.1 + - conda-forge::scikit-learn >=1.3 + - conda-forge::scipy >=1.13 + - conda-forge::numpy >=1.24,<2 - conda-forge::pydot - conda-forge::jinja2 - conda-forge::jupyter @@ -66,9 +66,9 @@ dependencies: - conda-forge::pytest-cov - conda-forge::pytest-check - conda-forge::pyutilib - - conda-forge::matplotlib >=1.5 + - conda-forge::matplotlib >=3.5 - conda-forge::mpmath - - conda-forge::pandas + - conda-forge::pandas >=2 - conda-forge::gprof2dot - conda-forge::numdifftools # bug in quantities, see: From f407370eabc2f672bb1e8031d0e1cba279f03629 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 23:05:27 -0400 Subject: [PATCH 546/700] When testing pull requests, only Conda Build on Python 3.11 (not 3.9) To save time we only build one Conda package for each OS, on Pull Requests (we'd do a bigger matrix for a push to main or a stable release). I swapped it from being only Python 3.9 to being only Python 3.11 --- .github/workflows/conda_build.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index eb4f1cff646..fc1e77097fc 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -27,19 +27,19 @@ jobs: # for PRs just run a single build per platform to save time and resources - is_pr: true os: ubuntu-latest - python-version: "3.11" + python-version: "3.9" - is_pr: true os: ubuntu-latest python-version: "3.10" - is_pr: true os: macos-15-intel - python-version: "3.11" + python-version: "3.9" - is_pr: true os: macos-15-intel python-version: "3.10" - is_pr: true os: macos-latest - python-version: "3.11" + python-version: "3.9" - is_pr: true os: macos-latest python-version: "3.10" From 89cf11ef6e4a2e7de62374a28db70d051129d00e Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 23:10:14 -0400 Subject: [PATCH 547/700] Clean up conda build script and environment. Claude's comments are too chatty, and IMHO references to changes and the past belong in git commit messages or the discussion as you're coding. This commit also changes some build step names. (Mentioning in case some of them are configured in settings anywhere). --- .github/workflows/conda_build.yml | 19 +++++-------------- 1 file changed, 5 insertions(+), 14 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index fc1e77097fc..43c7d697b55 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -12,9 +12,7 @@ on: - stable jobs: build: - # Hard cap so a solver hang fails attributably instead of consuming the - # default 6-hour runner allotment in silence (as happened on macos-15-intel - # before the .conda recipe was tightened in this branch). + # Timeout to avoid waisting the default 6-hour runner allotment. timeout-minutes: 180 strategy: fail-fast: false @@ -44,7 +42,7 @@ jobs: os: macos-latest python-version: "3.10" runs-on: ${{ matrix.os }} - name: Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }} + name: Conda Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }} defaults: run: shell: bash -l {0} @@ -66,9 +64,7 @@ jobs: run: conda install python anaconda-client conda-build - name: Show solver and runner info - # Small diagnostic snapshot — captures conda version, configured - # channels, base env contents, and runner CPU/RAM. Cheap to keep - # in CI and invaluable when something starts hanging again. + # Small diagnostic snapshot. run: | conda info conda config --show-sources @@ -78,9 +74,6 @@ jobs: - name: Build Binary env: - # Light verbosity bump over default. Surfaces libmamba "Solver - # attempt: #N" markers and per-package install plans in the log - # without dragging in the firehose that --debug produces. CONDA_VERBOSITY: "1" run: | # set a default value to the conda_token if needed (like from forks) @@ -91,9 +84,7 @@ jobs: conda config --add channels conda-forge # --add prepends, so the final channel order is [conda-forge, rmg, ...]. # Strict priority makes the solver skip lower-priority channels entirely - # for any package the higher-priority channel offers, which means it - # won't even load old rmg/osx-64 builds of cantera/numpy/rdkit/etc. - # as candidates (they're shadowed by conda-forge's modern builds). + # for any package the higher-priority channel offers. conda config --set channel_priority strict conda config --set anaconda_upload no CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build . @@ -108,7 +99,7 @@ jobs: result: if: ${{ always() }} runs-on: ubuntu-latest - name: Final Results + name: Conda Build Results needs: [build] steps: - run: exit 1 From 272ce6c8a625a295f77a8ce1aef5bd89fbe41a6f Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 23:11:11 -0400 Subject: [PATCH 548/700] Raised the floor on the version number of pyopenssl Because 24 is already 2.5 years old; I'm currently on 26.0.0, which is still compatible with python 3.8+ --- .conda/meta.yaml | 2 +- environment.yml | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index 38dc44790e0..a28f6ed4338 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -35,7 +35,7 @@ requirements: - conda-forge::psutil - conda-forge::ncurses - conda-forge::suitesparse - - conda-forge::pyopenssl >20 + - conda-forge::pyopenssl >24 - conda-forge::coolprop - conda-forge::cantera >=3.0 - conda-forge::mopac diff --git a/environment.yml b/environment.yml index 708ada40633..92004c5aa29 100644 --- a/environment.yml +++ b/environment.yml @@ -33,8 +33,8 @@ dependencies: - conda-forge::psutil - conda-forge::ncurses - conda-forge::suitesparse - # ThermoCentralDatabaseInterface fails if pyopenssl is too old. 20 is just a guess at the version number. - - conda-forge::pyopenssl >20 + # ThermoCentralDatabaseInterface fails if pyopenssl is too old. + - conda-forge::pyopenssl >24 # external software tools for chemistry - conda-forge::coolprop From bd9cb7e946f96daee8c1106f08beb7824ea223d8 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 19 May 2026 14:27:08 +0000 Subject: [PATCH 549/700] Initial plan From 7e5c01cc3d5a4a7cfb6f8b63bc792799a265ba6c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 19 May 2026 14:30:15 +0000 Subject: [PATCH 550/700] Fix conda build workflow broken pipe in diagnostics Agent-Logs-Url: https://github.com/ReactionMechanismGenerator/RMG-Py/sessions/2e88db6c-3c4a-4367-86d2-0501037239d5 Co-authored-by: rwest <93807+rwest@users.noreply.github.com> --- .github/workflows/conda_build.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml index 43c7d697b55..fc3fc09ae1e 100644 --- a/.github/workflows/conda_build.yml +++ b/.github/workflows/conda_build.yml @@ -61,14 +61,14 @@ jobs: activate-environment: "" - name: Install Build Tools - run: conda install python anaconda-client conda-build + run: conda install -y python anaconda-client conda-build - name: Show solver and runner info # Small diagnostic snapshot. run: | conda info conda config --show-sources - conda list -n base | head -40 + conda list -n base | sed -n '1,40p' uname -a sysctl hw.memsize hw.ncpu hw.physicalcpu 2>/dev/null || cat /proc/meminfo 2>/dev/null | head -3 || true From 89594c81af09b5b80b535dbdceb86c2daff49aaf Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 22:31:39 -0400 Subject: [PATCH 551/700] If checking the links in the documentation times out, don't fail the whole job. Sometimes a website freezes. Now the checking for links step will time out after 60 minutes, but because of the continue-on-error: true the rest of the job should finish. Probably we should pay more attention to the checking of links results anyway. (And/or do it less often) --- .github/workflows/docs.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index df01daf9e88..0ca65d1e42f 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -87,6 +87,7 @@ jobs: - name: Check documentation links continue-on-error: true + timeout-minutes: 60 run: | cd documentation sphinx-build -b linkcheck -d build/doctrees/ source/ build/linkcheck | grep -e broken -e redirect | grep -v -e 'redirect https://doi.org/' -e 'broken https://doi.org/.* 403 Client Error: Forbidden' From 6c48021ce148f517ca45ed4d4937597b03a40956 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 13:10:57 -0400 Subject: [PATCH 552/700] Cython optimizations in molecule.py/.pxd Some missing declarations in the pxd and using 'edges' instead of 'bonds' and 'vertices' instead of 'atoms' is preferable, because edges and vertices are known (by Cython) to be lists, whereas atoms and bonds are property functions that do a Python lookup. Also, atom.element.symbol is known to be a string, whereas atom.symbol is a property that does a Python lookup to return self.element.symbol. --- rmgpy/molecule/molecule.pxd | 73 ++++++++++++++++++++++++++++++++++--- rmgpy/molecule/molecule.py | 22 ++++++----- 2 files changed, 81 insertions(+), 14 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index a7f13e6ce42..aa7abd5da0d 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -70,6 +70,10 @@ cdef class Atom(Vertex): cpdef bint is_carbon(self) + cpdef bint is_lithium(self) + + cpdef bint is_nitrogen(self) + cpdef bint is_oxygen(self) cpdef bint is_fluorine(self) @@ -82,6 +86,8 @@ cdef class Atom(Vertex): cpdef bint is_chlorine(self) + cpdef bint is_bromine(self) + cpdef bint is_iodine(self) cpdef bint is_nos(self) @@ -108,8 +114,10 @@ cdef class Atom(Vertex): cpdef update_charge(self) - cpdef get_total_bond_order(self) - + cpdef apply_action(self, action) + + cpdef double get_total_bond_order(self) + ################################################################################ cdef class Bond(Edge): @@ -139,15 +147,27 @@ cdef class Bond(Edge): cpdef bint is_double(self) except -2 cpdef bint is_triple(self) except -2 - + cpdef bint is_quadruple(self) except -2 - + + cpdef bint is_double_or_triple(self) except -2 + cpdef bint is_benzene(self) except -2 + cpdef bint is_hydrogen_bond(self) except -2 + + cpdef bint is_reaction_bond(self) except -2 + cpdef increment_order(self) cpdef decrement_order(self) + cpdef _change_bond(self, float order) + + cpdef apply_action(self, action) + + cpdef double get_bde(self) except? -1 + cpdef str get_bond_string(self) ################################################################################ @@ -183,7 +203,9 @@ cdef class Molecule(Graph): cpdef bint is_proton(self) cpdef bint contains_surface_site(self) - + + cpdef int number_of_surface_sites(self) except -1 + cpdef bint is_surface_site(self) cpdef remove_atom(self, Atom atom) @@ -192,6 +214,10 @@ cdef class Molecule(Graph): cpdef remove_van_der_waals_bonds(self) + cpdef update_charge(self) + + cpdef update_multiplicity(self) + cpdef sort_atoms(self) cpdef str get_formula(self) @@ -206,7 +232,10 @@ cdef class Molecule(Graph): cpdef Graph copy(self, bint deep=?) + cpdef Molecule to_single_bonds(self, bint raise_atomtype_exception=?) + cpdef delete_hydrogens(self) + # connect_the_dots cannot be cpdef because it contains a closure (lambda) cpdef clear_labeled_atoms(self) @@ -234,8 +263,12 @@ cdef class Molecule(Graph): cpdef from_inchi(self, str inchistr, backend=?, bint raise_atomtype_exception=?) + cpdef from_augmented_inchi(self, str aug_inchi, bint raise_atomtype_exception=?) + cpdef from_smiles(self, str smilesstr, backend=?, bint raise_atomtype_exception=?) + cpdef from_smarts(self, str smartsstr, bint raise_atomtype_exception=?) + cpdef from_adjacency_list(self, str adjlist, bint saturate_h=?, bint raise_atomtype_exception=?, bint raise_charge_exception=?, bint check_consistency=?) @@ -249,12 +282,22 @@ cdef class Molecule(Graph): cpdef str to_augmented_inchi_key(self, str backend=?) + cpdef str to_smarts(self) + cpdef str to_smiles(self) cpdef to_adjacency_list(self, str label=?, bint remove_h=?, bint remove_lone_pairs=?, bint old_style=?) + cpdef list find_h_bonds(self) + + cpdef list generate_h_bonded_structures(self) + + cpdef remove_h_bonds(self) + cpdef bint is_linear(self) except -2 + cpdef bint is_aromatic(self) except -2 + cpdef bint is_heterocyclic(self) except -2 cpdef int count_internal_rotors(self) except -2 @@ -269,20 +312,36 @@ cdef class Molecule(Graph): cpdef bint has_lone_pairs(self) except -2 + cpdef bint has_charge(self) except -2 + cpdef bint has_halogen(self) except -2 cpdef bint is_aryl_radical(self, list aromatic_rings=?, bint save_order=?) except -2 + cpdef float get_symmetry_number(self) except -1 + cpdef float calculate_symmetry_number(self) except -1 cpdef list generate_resonance_structures(self, bint keep_isomorphic=?, bint filter_structures=?, bint save_order=?) + cpdef str get_url(self) + + cpdef list get_radical_atoms(self) + cpdef update_lone_pairs(self) + cpdef int get_net_charge(self) + + cpdef double get_charge_span(self) + + cpdef saturate_unfilled_valence(self, bint update=?) + cpdef dict saturate_radicals(self, bint raise_atomtype_exception=?) cpdef replace_halogen_with_hydrogen(self, bint raise_atomtype_exception=?) + cpdef to_group(self) + cpdef identify_ring_membership(self) cpdef int count_aromatic_rings(self) @@ -325,4 +384,8 @@ cdef class Molecule(Graph): cpdef int get_max_cycle_overlap(self) + cpdef list get_nth_neighbor(self, list starting_atoms, list distance_list, list ignore_list=?, int n=?) + + cpdef int get_ring_count_in_largest_fused_ring_system(self) except -1 + cdef atom_id_counter diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 1d4f4752e42..cfc392d8d73 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -445,7 +445,8 @@ def is_bonded_to_surface(self): ``False`` if it is not """ cython.declare(bonded_atom=Atom) - for bonded_atom in self.bonds.keys(): + # access self.edges directly to skip the bonds @property dispatch + for bonded_atom in self.edges: if bonded_atom.is_surface_site(): return True return False @@ -456,7 +457,8 @@ def is_bonded_to_halogen(self): ``False`` if it is not """ cython.declare(bonded_atom=Atom) - for bonded_atom in self.bonds.keys(): + # access self.edges directly to skip the bonds @property dispatch + for bonded_atom in self.edges: if bonded_atom.is_halogen(): return True return False @@ -583,6 +585,7 @@ def update_charge(self): Update self.charge, according to the valence, and the number and types of bonds, radicals, and lone pairs. """ + cython.declare(valence_electron=cython.short, order=cython.double) if self.is_surface_site(): self.charge = 0 return @@ -590,9 +593,9 @@ def update_charge(self): self.charge = -1 return - valence_electron = elements.PeriodicSystem.valence_electrons[self.symbol] + valence_electron = elements.PeriodicSystem.valence_electrons[self.element.symbol] order = self.get_total_bond_order() - self.charge = valence_electron - order - self.radical_electrons - 2 * self.lone_pairs + self.charge = valence_electron - int(order) - self.radical_electrons - 2 * self.lone_pairs def apply_action(self, action): """ @@ -628,13 +631,14 @@ def get_total_bond_order(self): This helper function is to help calculate total bond orders for an input atom. - Some special consideration for the order `B` bond. For atoms having + Some special consideration for the order `B` bond. For atoms having three `B` bonds, the order for each is 4/3.0, while for atoms having other than three `B` bonds, the order for each is 3/2.0 """ + cython.declare(bond=Bond, num_b_bond=cython.int, order=cython.double) num_b_bond = 0 - order = 0 - for bond in self.bonds.values(): + order = 0.0 + for bond in self.edges.values(): if bond.is_benzene(): num_b_bond += 1 else: @@ -2389,13 +2393,13 @@ def update_lone_pairs(self): Iterate through the atoms in the structure and calculate the number of lone electron pairs, assuming a neutral molecule. """ - cython.declare(atom1=Atom, atom2=Atom, bond12=Bond, order=float) + cython.declare(atom1=Atom, atom2=Atom, bond12=Bond, order=cython.double) for atom1 in self.vertices: if atom1.is_hydrogen() or atom1.is_surface_site() or atom1.is_electron() or atom1.is_lithium(): atom1.lone_pairs = 0 else: order = atom1.get_total_bond_order() - atom1.lone_pairs = (elements.PeriodicSystem.valence_electrons[atom1.symbol] + atom1.lone_pairs = (elements.PeriodicSystem.valence_electrons[atom1.element.symbol] - atom1.radical_electrons - atom1.charge - int(order)) / 2.0 if atom1.lone_pairs % 1 > 0 or atom1.lone_pairs > 4: logging.error("Unable to determine the number of lone pairs for " From 839be854cde7c9353837176a33388977f09e0ae7 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 13:38:09 -0400 Subject: [PATCH 553/700] Cython optimizations in group.py. atoms->vertices, bonds->edges 'vertices' is declared by Cython (through the Graph inheritance) to be a list type, so it can be accessed and used directly. 'atoms' is a property that uses Python to look up and return the vertices list, adding an extra Python lookup request and meaning Cython doesn't know what type of object it is dealing with. Thus, it is faster to access things through 'vertices' than 'atoms'. Same thing for 'edges' replacing 'bonds'. It's a shame, because code readability is nicer with atoms and bonds. :-( I started out trying to guess which of these are called a lot or are in tight loops, but then figured consistency is also a virtue, so just changed them all. (ironically, once you have a just one of them, declaring it an Atom instead of a Vertex is usually faster) --- rmgpy/molecule/group.py | 183 ++++++++++++++++++++-------------------- 1 file changed, 93 insertions(+), 90 deletions(-) diff --git a/rmgpy/molecule/group.py b/rmgpy/molecule/group.py index 279fbc641ef..2669678edd3 100644 --- a/rmgpy/molecule/group.py +++ b/rmgpy/molecule/group.py @@ -82,7 +82,7 @@ def add_cb_atom_to_ring(ring, cb_atom): merged_ring = [] # ring already complete if len(ring) == 6: return merged_ring - for atom2, bond12 in cb_atom.bonds.items(): + for atom2, bond12 in cb_atom.edges.items(): if bond12.is_benzene(): if atom2 is ring[-1]: merged_ring = ring + [cb_atom] @@ -685,7 +685,7 @@ def is_bonded_to_surface(self): ``False`` if it is not """ cython.declare(bonded_atom=GroupAtom) - for bonded_atom in self.bonds.keys(): + for bonded_atom in self.edges.keys(): if bonded_atom.is_surface_site(): return True return False @@ -778,7 +778,7 @@ def has_wildcards(self): return True elif len(self.lone_pairs) > 1: return True - for bond in self.bonds.values(): + for bond in self.edges.values(): if len(bond.order) > 1: return True return False @@ -792,7 +792,7 @@ def count_bonds(self, wildcards=False): """ # count up number of bonds single = r_double = o_double = s_double = triple = quadruple = benzene = 0 # note that 0 is immutable - for atom2, bond12 in self.bonds.items(): + for atom2, bond12 in self.edges.items(): if not wildcards and len(bond12.order) > 1: continue # Count numbers of each higher-order bond type @@ -1323,15 +1323,15 @@ def draw(self, file_format): import pydot graph = pydot.Dot(graph_type='graph', dpi="52") - for index, atom in enumerate(self.atoms): + for index, atom in enumerate(self.vertices): atom_type = '{0!s} {1!s} '.format(index+1, atom.label if atom.label != '' else '') atom_type += ','.join([at.label for at in atom.atomtype]) atom_type = '"' + atom_type + '"' graph.add_node(pydot.Node(name=str(index + 1), label=atom_type, fontname="Helvetica", fontsize="16")) - for atom1 in self.atoms: - for atom2, bond in atom1.bonds.items(): - index1 = self.atoms.index(atom1) - index2 = self.atoms.index(atom2) + for atom1 in self.vertices: + for atom2, bond in atom1.edges.items(): + index1 = self.vertices.index(atom1) + index2 = self.vertices.index(atom2) if index1 < index2: bond_type = ','.join([order for order in bond.get_order_str()]) bond_type = '"' + bond_type + '"' @@ -1398,14 +1398,14 @@ def contains_surface_site(self): Returns ``True`` iff the group contains an 'X' surface site. """ cython.declare(atom=GroupAtom) - for atom in self.atoms: + for atom in self.vertices: if atom.is_surface_site(): return True return False def is_surface_site(self): """Returns ``True`` iff the group is nothing but a surface site 'X'.""" - return len(self.atoms) == 1 and self.atoms[0].is_surface_site() + return len(self.vertices) == 1 and self.vertices[0].is_surface_site() def get_surface_sites(self): """ @@ -1414,15 +1414,15 @@ def get_surface_sites(self): List(GroupAtom): A list containing the surface site GroupAtoms in the molecule """ cython.declare(atom=GroupAtom) - return [atom for atom in self.atoms if atom.is_surface_site()] + return [atom for atom in self.vertices if atom.is_surface_site()] def is_proton(self): """Returns ``True`` iff the group is a proton""" - return len(self.atoms) == 1 and self.atoms[0].is_proton() + return len(self.vertices) == 1 and self.vertices[0].is_proton() def is_electron(self): """Returns ``True`` iff the group is an electron""" - return len(self.atoms) == 1 and self.atoms[0].is_electron() + return len(self.vertices) == 1 and self.vertices[0].is_electron() def remove_atom(self, atom): """ @@ -1472,7 +1472,7 @@ def sort_by_connectivity(self, atom_list): while atom_list: for atom1 in sorted_atom_list: added = False - for atom2, bond12 in atom1.bonds.items(): + for atom2, bond12 in atom1.edges.items(): if bond12.is_benzene() and atom2 in atom_list: sorted_atom_list.append(atom2) atom_list.remove(atom2) @@ -1505,7 +1505,7 @@ def update_charge(self): Update the partial charge according to the valence electron, total bond order, lone pairs and radical electrons. This method is used for products of specific families with recipes that modify charges. """ - for atom in self.atoms: + for atom in self.vertices: if isinstance(atom, CuttingLabel): continue if (len(atom.charge) == 1) and (len(atom.lone_pairs) == 1) and (len(atom.radical_electrons) == 1): @@ -1517,7 +1517,7 @@ def update_charge(self): if atom_type is ATOMTYPES[element] or atom_type in ATOMTYPES[element].specific: bond_order = 0 valence_electron = elements.PeriodicSystem.valence_electrons[element] - for _, bond in atom.bonds.items(): + for _, bond in atom.edges.items(): bond_order += bond.order[0] lone_pairs = atom.lone_pairs[0] radical_electrons = atom.radical_electrons[0] @@ -1559,7 +1559,7 @@ def clear_reg_dims(self): clear regularization dimensions """ cython.declare(atm=GroupAtom) - for atm in self.atoms: + for atm in self.vertices: atm.reg_dim_atm = [[], []] atm.reg_dim_u = [[], []] atm.reg_dim_r = [[], []] @@ -1598,7 +1598,7 @@ def get_extensions(self, r=None, r_bonds=None, r_un=None, basename='', atm_ind=N if ATOMTYPES['H'] in RnH: RnH.remove(ATOMTYPES['H']) - atoms = self.atoms + atoms = self.vertices if atm_ind is None: for i, atm in enumerate(atoms): typ = atm.atomtype @@ -1735,11 +1735,11 @@ def specify_atom_extensions(self, i, basename, r): for item in r: grp = deepcopy(self) grpc = deepcopy(self) - old_atom_type = grp.atoms[i].atomtype - grp.atoms[i].atomtype = [item] - grpc.atoms[i].atomtype = list(Rset - {item}) + old_atom_type = grp.vertices[i].atomtype + grp.vertices[i].atomtype = [item] + grpc.vertices[i].atomtype = list(Rset - {item}) - if len(grpc.atoms[i].atomtype) == 0: + if len(grpc.vertices[i].atomtype) == 0: grpc = None if len(old_atom_type) > 1: @@ -1771,10 +1771,10 @@ def specify_ring_extensions(self, i, basename): grp = deepcopy(self) grpc = deepcopy(self) - grp.atoms[i].props['inRing'] = True - grpc.atoms[i].props['inRing'] = False + grp.vertices[i].props['inRing'] = True + grpc.vertices[i].props['inRing'] = False - atom_type = grp.atoms[i].atomtype + atom_type = grp.vertices[i].atomtype if len(atom_type) > 1: atom_type_str = '' @@ -1803,13 +1803,13 @@ def specify_unpaired_extensions(self, i, basename, r_un): for item in r_un: grp = deepcopy(self) grpc = deepcopy(self) - grp.atoms[i].radical_electrons = [item] - grpc.atoms[i].radical_electrons = list(Rset - {item}) + grp.vertices[i].radical_electrons = [item] + grpc.vertices[i].radical_electrons = list(Rset - {item}) - if len(grpc.atoms[i].radical_electrons) == 0: + if len(grpc.vertices[i].radical_electrons) == 0: grpc = None - atom_type = grp.atoms[i].atomtype + atom_type = grp.vertices[i].atomtype if len(atom_type) > 1: atom_type_str = '' @@ -1836,10 +1836,10 @@ def specify_internal_new_bond_extensions(self, i, j, n_splits, basename, r_bonds label_list = [] newgrp = deepcopy(self) - newgrp.add_bond(GroupBond(newgrp.atoms[i], newgrp.atoms[j], r_bonds)) + newgrp.add_bond(GroupBond(newgrp.vertices[i], newgrp.vertices[j], r_bonds)) - atom_type_i = newgrp.atoms[i].atomtype - atom_type_j = newgrp.atoms[j].atomtype + atom_type_i = newgrp.vertices[i].atomtype + atom_type_j = newgrp.vertices[j].atomtype if len(atom_type_i) > 1: atom_type_i_str = '' @@ -1881,9 +1881,9 @@ def specify_external_new_bond_extensions(self, i, basename, r_bonds): ga = GroupAtom([ATOMTYPES['R!H']]) newgrp = deepcopy(self) newgrp.add_atom(ga) - j = newgrp.atoms.index(ga) - newgrp.add_bond(GroupBond(newgrp.atoms[i], newgrp.atoms[j], r_bonds)) - atom_type = newgrp.atoms[i].atomtype + j = newgrp.vertices.index(ga) + newgrp.add_bond(GroupBond(newgrp.vertices[i], newgrp.vertices[j], r_bonds)) + atom_type = newgrp.vertices[i].atomtype if len(atom_type) > 1: atom_type_str = '' for k in atom_type: @@ -1896,7 +1896,7 @@ def specify_external_new_bond_extensions(self, i, basename, r_bonds): atom_type_str = atom_type[0].label return [(newgrp, None, basename + '_Ext-' + str(i + 1) + atom_type_str + '-R', 'extNewBondExt', - (len(newgrp.atoms) - 1,))] + (len(newgrp.vertices) - 1,))] def specify_bond_extensions(self, i, j, basename, r_bonds): """ @@ -1911,16 +1911,16 @@ def specify_bond_extensions(self, i, j, basename, r_bonds): for bd in r_bonds: grp = deepcopy(self) grpc = deepcopy(self) - grp.atoms[i].bonds[grp.atoms[j]].order = [bd] - grp.atoms[j].bonds[grp.atoms[i]].order = [bd] - grpc.atoms[i].bonds[grpc.atoms[j]].order = list(Rbset - {bd}) - grpc.atoms[j].bonds[grpc.atoms[i]].order = list(Rbset - {bd}) + grp.vertices[i].edges[grp.vertices[j]].order = [bd] + grp.vertices[j].edges[grp.vertices[i]].order = [bd] + grpc.vertices[i].edges[grpc.vertices[j]].order = list(Rbset - {bd}) + grpc.vertices[j].edges[grpc.vertices[i]].order = list(Rbset - {bd}) if len(list(Rbset - {bd})) == 0: grpc = None - atom_type_i = grp.atoms[i].atomtype - atom_type_j = grp.atoms[j].atomtype + atom_type_i = grp.vertices[i].atomtype + atom_type_j = grp.vertices[j].atomtype if len(atom_type_i) > 1: atom_type_i_str = '' @@ -2013,7 +2013,7 @@ def get_element_count(self): from rmgpy.molecule.atomtype import allElements element_count = {} - for atom in self.atoms: + for atom in self.vertices: same = True match = None for atomtype in atom.atomtype: @@ -2132,9 +2132,9 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F keys = [] atms = [] initial_map = dict() - for atom in self.atoms: + for atom in self.vertices: if atom.label and atom.label != '': - L = [a for a in other.atoms if a.label == atom.label] + L = [a for a in other.vertices if a.label == atom.label] if L == []: return False elif len(L) == 1: @@ -2273,12 +2273,12 @@ def is_aromatic_ring(self): benzene bonds exclusively """ - ring_size = len(self.atoms) + ring_size = len(self.vertices) if ring_size not in [5, 6]: return False - for ring_atom in self.atoms: + for ring_atom in self.vertices: for bonded_atom, bond in ring_atom.edges.items(): - if bonded_atom in self.atoms: + if bonded_atom in self.vertices: if not bond.is_benzene(): return False return True @@ -2290,7 +2290,7 @@ def has_wildcards(self): Returns a 'True' if any of the atoms in this group has wildcards. """ - for atom1 in self.atoms: + for atom1 in self.vertices: if atom1.has_wildcards(): return True @@ -2320,7 +2320,7 @@ def standardize_atomtype(self): # list of :class:AtomType which are elements with more sub-divided atomtypes beneath them specifics = [elementLabel for elementLabel in allElements if elementLabel not in nonSpecifics] - for atom in self.atoms: + for atom in self.vertices: claimed_atom_type = atom.atomtype[0] new_atom_type = None element = None @@ -2340,7 +2340,7 @@ def standardize_atomtype(self): elif element is ATOMTYPES['N']: continue - group_features = get_features(atom, atom.bonds) + group_features = get_features(atom, atom.edges) bond_order = atom.get_total_bond_order() filled_valency = atom.radical_electrons[0] + bond_order @@ -2402,13 +2402,16 @@ def add_explicit_ligands(self): atoms_to_add_to = [] - for index, atom in enumerate(self.atoms): + _CO = ATOMTYPES['CO'] + _CS = ATOMTYPES['CS'] + + for index, atom in enumerate(self.vertices): claimed_atom_type = atom.atomtype[0] # Do not perform is this atom has wildCards if atom.has_wildcards(): continue - elif claimed_atom_type is ATOMTYPES['CO'] or claimed_atom_type is ATOMTYPES['CS']: - for bond12 in atom.bonds.values(): + elif claimed_atom_type is _CO or claimed_atom_type is _CS: + for bond12 in atom.edges.values(): if bond12.is_double(): break else: @@ -2417,11 +2420,11 @@ def add_explicit_ligands(self): for atomIndex in atoms_to_add_to: modified = True atomtypes = None - if self.atoms[atomIndex].atomtype[0] is ATOMTYPES['CO']: + if self.vertices[atomIndex].atomtype[0] is _CO: atomtypes = ['O2d'] - elif self.atoms[atomIndex].atomtype[0] is ATOMTYPES['CS']: + elif self.vertices[atomIndex].atomtype[0] is _CS: atomtypes = ['S2d'] - self.create_and_connect_atom(atomtypes, self.atoms[atomIndex], [2]) + self.create_and_connect_atom(atomtypes, self.vertices[atomIndex], [2]) return modified @@ -2456,7 +2459,7 @@ def add_implicit_atoms_from_atomtype(self): copy_group = deepcopy(self) - for atom1 in copy_group.atoms: + for atom1 in copy_group.vertices: atomtype_feature_list = atom1.atomtype[0].get_features() lone_pairs_required[atom1] = atomtype_feature_list[8] @@ -2471,7 +2474,7 @@ def add_implicit_atoms_from_atomtype(self): # count up number of bonds single = r_double = o_double = s_double = triple = quadruple = benzene = 0 # note that 0 is immutable - for atom2, bond12 in atom1.bonds.items(): + for atom2, bond12 in atom1.edges.items(): # Count numbers of each higher-order bond type if bond12.is_single(): single += 1 @@ -2556,7 +2559,7 @@ def classify_benzene_carbons(self, partners=None): labels_of_carbon_atom_types.extend(['R!H', 'N5b', 'N3b', 'N5bd', 'O4b', 'P3b', 'P5b', 'P5bd', 'S4b']) # Why are Sib and Sibf missing? - for atom in self.atoms: + for atom in self.vertices: atomtype = atom.atomtype[0] if atom.atomtype[0].label not in labels_of_carbon_atom_types: continue @@ -2566,7 +2569,7 @@ def classify_benzene_carbons(self, partners=None): cbf_atom_list.append(atom) else: benzene_bonds = 0 - for atom2, bond12 in atom.bonds.items(): + for atom2, bond12 in atom.edges.items(): if bond12.is_benzene(): benzene_bonds += 1 if benzene_bonds > 2: cbf_atom_list.append(atom) @@ -2577,7 +2580,7 @@ def classify_benzene_carbons(self, partners=None): for cbf_atom in cbf_atom_list: fb_bonds = 0 connected_cbfs[cbf_atom] = [] - for atom2, bond in cbf_atom.bonds.items(): + for atom2, bond in cbf_atom.edges.items(): if bond.order[0] == 1.5 and atom2 in cbf_atom_list: fb_bonds += 1 connected_cbfs[cbf_atom].append(atom2) @@ -2597,7 +2600,7 @@ def classify_benzene_carbons(self, partners=None): # check that cbfAtoms only have benzene bonds for cbf_atom in cbf_atom_list: - for atom2, bond12 in cbf_atom.bonds.items(): + for atom2, bond12 in cbf_atom.edges.items(): assert bond12.is_benzene(), "Cbf atom in {0} has a bond with an order other than 1.5".format(self) return cb_atom_list, cbf_atom_list, cbf_atom_list1, cbf_atom_list2, connected_cbfs @@ -2662,12 +2665,12 @@ def add_implicit_benzene(self): else: # search for a potential partner out of atoms benzene bonded atoms potential_partner = None - for atom2, bond12 in cbf_atom.bonds.items(): + for atom2, bond12 in cbf_atom.edges.items(): if atom2 in partners: continue # Potential partner must not have any bonds except benzene bonds elif bond12.is_benzene(): - bonds_are_benzene = [True if bond23.is_benzene() else False for bond23 in atom2.bonds.values()] + bonds_are_benzene = [True if bond23.is_benzene() else False for bond23 in atom2.edges.values()] if all(bonds_are_benzene) and 0 in atom2.radical_electrons: potential_partner = atom2 # Make a Cb atom the partner, now marking it as a Cbfatom @@ -2725,7 +2728,7 @@ def add_implicit_benzene(self): # These two ring seeds represent the two unique rings new_ring_seeds = [[partners[cbf_atom], cbf_atom, other_cbf], [partners[cbf_atom], cbf_atom]] - all_ligands = list(cbf_atom.bonds) + all_ligands = list(cbf_atom.edges) # add a new cb atom to the second new_ring seed if len(all_ligands) == 2: new_atom = copy_group.create_and_connect_atom(['Cb'], cbf_atom, [1.5]) @@ -2846,9 +2849,9 @@ def pick_wildcards(self): This function will naively pick the first atomtype for each atom, but will try to pick bond orders that make sense given the selected atomtypes """ - for atom1 in self.atoms: + for atom1 in self.vertices: atom1.atomtype = [atom1.atomtype[0]] - for atom2, bond12 in atom1.bonds.items(): + for atom2, bond12 in atom1.edges.items(): # skip dynamic bond ordering if there are no wildcards if len(bond12.order) < 2: continue @@ -2857,7 +2860,7 @@ def pick_wildcards(self): # skip dynamic bond ordering if there are no features required by the atomtype if not any(atom1_features) and not any(atom2_features): bond12.order = [bond12.order[0]] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order continue atom1_bonds = atom1.count_bonds() # count_bonds list must match get_features list @@ -2881,37 +2884,37 @@ def pick_wildcards(self): if feature1 > 0 or feature2 > 0: if index == 0 and 1.5 in bond12.order: # benzene bonds bond12.order = [1.5] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break elif index == 1 and 4 in bond12.order: # quadruple bond bond12.order = [4] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break elif index == 2 and 3 in bond12.order: # triple bond bond12.order = [3] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break elif index > 2 and 2 in bond12.order: # any case of double bonds if index == 3: # s_double bonds if (feature1 > 0 and atom2.is_sulfur()) or (feature2 > 0 and atom1.is_sulfur()): bond12.order = [2] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break elif index == 4: # oDoubleBonds if (feature1 > 0 and atom2.is_oxygen()) or (feature2 > 0 and atom1.is_oxygen()): bond12.order = [2] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break else: # r_double or all_double necessary bond12.order = [2] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order break else: # no features required, then pick the first order bond12.order = [bond12.order[0]] - atom2.bonds[atom1].order = bond12.order + atom2.edges[atom1].order = bond12.order # if we have wildcard atomtypes pick one based on ordering of allElements - for atom in self.atoms: + for atom in self.vertices: for elementLabel in allElements: if ATOMTYPES[elementLabel] in atom.atomtype[0].specific: atom.atomtype = [ATOMTYPES[elementLabel]] @@ -2929,7 +2932,7 @@ def make_sample_molecule(self): # check that there are less than three Cbf atoms cbf_count = 0 - for atom in modified_group.atoms: + for atom in modified_group.vertices: if atom.atomtype[0] is ATOMTYPES['Cbf']: cbf_count += 1 if cbf_count > 3: if not modified_group.is_benzene_explicit(): @@ -2945,7 +2948,7 @@ def make_sample_molecule(self): # Make dictionary of :GroupAtoms: to :Atoms: and vice versa group_to_mol = {} mol_to_group = {} - for atom in modified_group.atoms: + for atom in modified_group.vertices: mol_atom = atom.make_sample_atom() group_to_mol[atom] = mol_atom mol_to_group[mol_atom] = atom @@ -2954,12 +2957,12 @@ def make_sample_molecule(self): new_molecule = mol.Molecule(atoms=list(group_to_mol.values())) # Add explicit bonds to :Atoms: - for atom1 in modified_group.atoms: - for atom2, bond12 in atom1.bonds.items(): + for atom1 in modified_group.vertices: + for atom2, bond12 in atom1.edges.items(): bond12.make_bond(new_molecule, group_to_mol[atom1], group_to_mol[atom2]) # Saturate up to expected valency - for mol_atom in new_molecule.atoms: + for mol_atom in new_molecule.vertices: if mol_atom.charge: stated_charge = mol_atom.charge # otherwise assume no charge (or implicit atoms we assume hvae no charge) @@ -2970,7 +2973,7 @@ def make_sample_molecule(self): hydrogen_needed = mol_atom.charge - stated_charge if mol_atom in mol_to_group and mol_to_group[mol_atom].atomtype[0].single: max_single = max(mol_to_group[mol_atom].atomtype[0].single) - single_present = sum([1 for atom in mol_atom.bonds if mol_atom.bonds[atom].is_single()]) + single_present = sum([1 for atom in mol_atom.edges if mol_atom.edges[atom].is_single()]) max_hydrogen = max_single - single_present if hydrogen_needed > max_hydrogen: hydrogen_needed = max_hydrogen for x in range(hydrogen_needed): @@ -2983,7 +2986,7 @@ def make_sample_molecule(self): new_molecule.update() # Check that the charge of atoms is expected - for atom in new_molecule.atoms: + for atom in new_molecule.vertices: if atom.charge != 0: if atom in mol_to_group: group_atom = mol_to_group[atom] @@ -3025,11 +3028,11 @@ def is_benzene_explicit(self): """ # classify atoms cb_atom_list = [] - for atom in self.atoms: + for atom in self.vertices: if sum(atom.atomtype[0].benzene): # atomtype has at least one benzene bond cb_atom_list.append(atom) else: # there may be some undeclared (eg. a generic C atomtype, with a benzene bond) - for atom2, bond12 in atom.bonds.items(): + for atom2, bond12 in atom.edges.items(): if bond12.is_benzene(): cb_atom_list.append(atom) break # can stop checking bonds for this atom @@ -3084,13 +3087,13 @@ def merge_groups(self, other, keep_identical_labels=False): bonds_to_remove = [] for label in overlapping_labels: old_atom_b = self.get_labeled_atoms(label)[0] - for old_atom_a, old_bond_ab in old_atom_b.bonds.items(): + for old_atom_a, old_bond_ab in old_atom_b.edges.items(): if old_atom_a.label not in overlapping_labels: # this is bond we need to transfer over # find and record bondAB from new backbone for later removal new_atom_a = self_dict[old_atom_a] new_atom_b = self_dict[old_atom_b] new_atom_c = merged_group.get_labeled_atoms(old_atom_b.label)[0] - for atom, new_bond_ab in new_atom_a.bonds.items(): + for atom, new_bond_ab in new_atom_a.edges.items(): if atom is new_atom_b: bonds_to_remove.append(new_bond_ab) break @@ -3109,6 +3112,6 @@ def reset_ring_membership(self): """ cython.declare(atom=GroupAtom) - for atom in self.atoms: + for atom in self.vertices: if 'inRing' in atom.props: del atom.props['inRing'] From dec95d4d4ddbbbdbe938900a24d0ab4eed4f0241 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 15:09:45 -0400 Subject: [PATCH 554/700] Fix none_dealloc bug introduced in previous Cython declaration. groupTest::test_make_sample_molecule and ~all atomtypeTest cases were crashing with none_dealloc since prior commit, thanks to group.py:make_sample_molecule() function: changing untyped modified_group.atoms to modified_group.vertices triggers a Cython 3.0.12 refcount bug. Fix: add cython.declare(modified_group=Group, ...) so Cython knows the type and emits the proper C-level access. --- rmgpy/molecule/group.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/group.py b/rmgpy/molecule/group.py index 2669678edd3..cac30772950 100644 --- a/rmgpy/molecule/group.py +++ b/rmgpy/molecule/group.py @@ -2924,7 +2924,8 @@ def make_sample_molecule(self): """ Returns: A sample class :Molecule: from the group """ - + cython.declare(modified_group=Group, new_molecule=mol.Molecule, + atom1=GroupAtom, atom2=GroupAtom, bond12=GroupBond) modified_group = self.copy(deep=True) # Remove all wildcards From b547b097900dcf203761304562804abfc1820146 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 15:32:41 -0400 Subject: [PATCH 555/700] More Cython optimizations in molecule.py. Continues the pattern from HEAD^^: replace property-dispatch accesses with direct cdef attribute accesses in hot loops. - self.atoms -> self.vertices (atoms is a @property that returns self.vertices via a Python lookup; vertices is a typed cdef list) - atom.bonds -> atom.edges (same reasoning for Atom) - atom.symbol -> atom.element.symbol (symbol is a @property) - self.number -> self.element.number (number is a @property) Also adds cython.declare(atom=Atom) and similar type hints to small hot loops that were missing them, so Cython can compile them to typed C-level iteration. Touches roughly 30 methods including contains_surface_site, number_of_surface_sites, update_charge, get_element_count, saturate_radicals, replace_halogen_with_hydrogen, to_group, identify_ring_membership, assign_atom_ids, atom_ids_valid, is_identical, get_surface_sites, is_multidentate, get_adatoms, get_desorbed_molecules, find_h_bonds, generate_h_bonded_structures, remove_h_bonds, is_heterocyclic, has_charge, get_radical_atoms, get_net_charge, clear_labeled_atoms, contains_labeled_atom, get_labeled_atoms, get_all_labeled_atoms. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/molecule/molecule.py | 123 ++++++++++++++++++++----------------- 1 file changed, 68 insertions(+), 55 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index cfc392d8d73..3ac30ebdd80 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -176,7 +176,7 @@ def __hash__(self): """ Define a custom hash method to allow Atom objects to be used in dictionaries and sets. """ - return hash(('Atom', self.symbol)) + return hash(('Atom', self.element.symbol)) def __eq__(self, other): """Method to test equality of two Atom objects.""" @@ -217,7 +217,7 @@ def bonds(self): @property def sorting_key(self): """Returns a sorting key for comparing Atom objects. Read-only""" - return self.number, -get_vertex_connectivity_value(self), self.radical_electrons, self.lone_pairs, self.charge + return self.element.number, -get_vertex_connectivity_value(self), self.radical_electrons, self.lone_pairs, self.charge def equivalent(self, other, strict=True): """ @@ -437,7 +437,7 @@ def is_surface_site(self): """ Return ``True`` if the atom represents a surface site or ``False`` if not. """ - return self.symbol == 'X' + return self.element.symbol == 'X' def is_bonded_to_surface(self): """ @@ -1217,8 +1217,8 @@ def contains_surface_site(self): Returns ``True`` iff the molecule contains an 'X' surface site. """ cython.declare(atom=Atom) - for atom in self.atoms: - if atom.symbol == 'X': + for atom in self.vertices: + if atom.element.symbol == 'X': return True return False @@ -1227,25 +1227,24 @@ def number_of_surface_sites(self): Returns the number of surface sites in the molecule. e.g. 2 for a bidentate adsorbate """ - cython.declare(atom=Atom) - cython.declare(count=cython.int) + cython.declare(atom=Atom, count=cython.int) count = 0 - for atom in self.atoms: + for atom in self.vertices: if atom.is_surface_site(): count += 1 return count def is_surface_site(self): """Returns ``True`` iff the molecule is nothing but a surface site 'X'.""" - return len(self.atoms) == 1 and self.atoms[0].is_surface_site() + return len(self.vertices) == 1 and self.vertices[0].is_surface_site() def is_electron(self): """Returns ``True`` iff the molecule is nothing but an electron 'e'.""" - return len(self.atoms) == 1 and self.atoms[0].is_electron() + return len(self.vertices) == 1 and self.vertices[0].is_electron() def is_proton(self): """Returns ``True`` iff the molecule is nothing but a proton 'H+'.""" - return len(self.atoms) == 1 and self.atoms[0].is_proton() + return len(self.vertices) == 1 and self.vertices[0].is_proton() def remove_atom(self, atom): """ @@ -1289,13 +1288,13 @@ def sort_atoms(self): if vertex.sorting_label < 0: self.update_connectivity_values() break - self.atoms.sort(reverse=True) + self.vertices.sort(reverse=True) for index, vertex in enumerate(self.vertices): vertex.sorting_label = index def update_charge(self): - - for atom in self.atoms: + cython.declare(atom=Atom) + for atom in self.vertices: if not isinstance(atom, CuttingLabel): atom.update_charge() @@ -1552,6 +1551,7 @@ def clear_labeled_atoms(self): """ Remove the labels from all atoms in the molecule. """ + cython.declare(atom=Atom) for atom in self.vertices: atom.label = '' @@ -1560,6 +1560,7 @@ def contains_labeled_atom(self, label): Return :data:`True` if the molecule contains an atom with the label `label` and :data:`False` otherwise. """ + cython.declare(atom=Atom) for atom in self.vertices: if atom.label == label: return True return False @@ -1568,6 +1569,7 @@ def get_labeled_atoms(self, label): """ Return the atoms in the molecule that are labeled. """ + cython.declare(atom=Atom, alist=list) alist = [atom for atom in self.vertices if atom.label == label] if alist == []: raise ValueError( @@ -1580,6 +1582,7 @@ def get_all_labeled_atoms(self): and the values the atoms themselves. If two or more atoms have the same label, the value is converted to a list of these atoms. """ + cython.declare(atom=Atom, labeled=dict) labeled = {} for atom in self.vertices: if atom.label != '': @@ -1599,7 +1602,7 @@ def get_element_count(self): """ cython.declare(atom=Atom, element_count=dict, symbol=str, key=str) element_count = {} - for atom in self.atoms: + for atom in self.vertices: symbol = atom.element.symbol if symbol in element_count: element_count[symbol] += 1 @@ -1733,9 +1736,9 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F keys = [] atms = [] initial_map = dict() - for atom in self.atoms: + for atom in self.vertices: if atom.label and atom.label != '': - L = [a for a in other.atoms if a.label == atom.label] + L = [a for a in other.vertices if a.label == atom.label] if L == []: return False elif len(L) == 1: @@ -1940,14 +1943,14 @@ def to_single_bonds(self, raise_atomtype_exception=True): cython.declare(atom1=Atom, atom2=Atom, bond=Bond, newMol=Molecule, atoms=list, mapping=dict) new_mol = Molecule() - atoms = self.atoms + atoms = self.vertices mapping = {} for atom1 in atoms: atom2 = new_mol.add_atom(Atom(atom1.element)) mapping[atom1] = atom2 for atom1 in atoms: - for atom2 in atom1.bonds: + for atom2 in atom1.edges: bond = Bond(mapping[atom1], mapping[atom2], 1) new_mol.add_bond(bond) new_mol.update_atomtypes(raise_exception=raise_atomtype_exception) @@ -2084,14 +2087,16 @@ def find_h_bonds(self): 3) the Hydrogen bond must complete a ring with at least 5 members 4) An atom can only be hydrogen bonded to one other atom """ + cython.declare(atm1=Atom, atm2=Atom, atm_cov=Atom, atm_covs=list, + ONatoms=list, ONinds=list, pot_bonds=list, i=int, j=int, k=int) pot_bonds = [] - ONatoms = [a for a in self.atoms if a.is_oxygen() or a.is_nitrogen()] - ONinds = [n for n, a in enumerate(self.atoms) if a.is_oxygen() or a.is_nitrogen()] + ONatoms = [a for a in self.vertices if a.is_oxygen() or a.is_nitrogen()] + ONinds = [n for n, a in enumerate(self.vertices) if a.is_oxygen() or a.is_nitrogen()] - for i, atm1 in enumerate(self.atoms): + for i, atm1 in enumerate(self.vertices): if atm1.atomtype.label == 'H0': - atm_covs = [q for q in atm1.bonds.keys()] + atm_covs = [q for q in atm1.edges.keys()] if len(atm_covs) > 1: # H is already H bonded continue else: @@ -2099,7 +2104,7 @@ def find_h_bonds(self): if (atm_cov.is_oxygen() or atm_cov.is_nitrogen()): # this H can be H-bonded for k, atm2 in enumerate(ONatoms): if all([not np.isclose(0.1, q.order) for q in - atm2.bonds.values()]): # atm2 not already H bonded + atm2.edges.values()]): # atm2 not already H bonded dist = len(find_shortest_path(atm1, atm2)) - 1 if dist > 3: j = ONinds[k] @@ -2119,17 +2124,18 @@ def generate_h_bonded_structures(self): structures as without this constraint the number of possible structures grows 2^n where n is the number of possible H-bonds """ + cython.declare(molc=Molecule, structs=list, Hbonds=list, i=int, j=int) structs = [] Hbonds = self.find_h_bonds() for i, bd1 in enumerate(Hbonds): molc = self.copy(deep=True) - molc.add_bond(Bond(molc.atoms[bd1[0]], molc.atoms[bd1[1]], order=0.1)) + molc.add_bond(Bond(molc.vertices[bd1[0]], molc.vertices[bd1[1]], order=0.1)) structs.append(molc) for j, bd2 in enumerate(Hbonds): if j < i and bd1[0] != bd2[0] and bd1[1] != bd2[1]: molc = self.copy(deep=True) - molc.add_bond(Bond(molc.atoms[bd1[0]], molc.atoms[bd1[1]], order=0.1)) - molc.add_bond(Bond(molc.atoms[bd2[0]], molc.atoms[bd2[1]], order=0.1)) + molc.add_bond(Bond(molc.vertices[bd1[0]], molc.vertices[bd1[1]], order=0.1)) + molc.add_bond(Bond(molc.vertices[bd2[0]], molc.vertices[bd2[1]], order=0.1)) structs.append(molc) return structs @@ -2138,8 +2144,8 @@ def remove_h_bonds(self): """ removes any present hydrogen bonds from the molecule """ - - atoms = self.atoms + cython.declare(atoms=list, atm1=Atom, atm2=Atom, bd=Bond, i=int, j=int) + atoms = self.vertices for i, atm1 in enumerate(atoms): for j, atm2 in enumerate(atoms): if j < i and self.has_bond(atm1, atm2): @@ -2222,8 +2228,9 @@ def is_heterocyclic(self): """ Returns ``True`` if the molecule is heterocyclic, or ``False`` if not. """ + cython.declare(atom=Atom) if self.is_cyclic(): - for atom in self.atoms: + for atom in self.vertices: if atom.is_non_hydrogen() and not atom.is_carbon() and self.is_vertex_in_cycle(atom): return True return False @@ -2249,7 +2256,7 @@ def calculate_cp0(self): """ if self.contains_surface_site(): return 0.01 - if len(self.atoms) == 1: + if len(self.vertices) == 1: return 2.5 * constants.R else: return (3.5 if self.is_linear() else 4.0) * constants.R @@ -2317,6 +2324,7 @@ def has_lone_pairs(self): return False def has_charge(self): + cython.declare(atom=Atom) for atom in self.vertices: if atom.charge != 0: return True @@ -2382,6 +2390,7 @@ def get_radical_atoms(self): """ Return the atoms in the molecule that have unpaired electrons. """ + cython.declare(atom=Atom, radical_atoms_list=list) radical_atoms_list = [] for atom in self.vertices: if atom.radical_electrons > 0: @@ -2410,6 +2419,7 @@ def get_net_charge(self): Iterate through the atoms in the structure and calculate the net charge on the overall molecule. """ + cython.declare(atom=Atom) return sum([atom.charge for atom in self.vertices]) def get_charge_span(self): @@ -2428,7 +2438,7 @@ def saturate_unfilled_valence(self, update=True): """ saturator = Saturator() - saturator.saturate(self.atoms) + saturator.saturate(self.vertices) if update: self.update() def saturate_radicals(self, raise_atomtype_exception=True): @@ -2437,7 +2447,7 @@ def saturate_radicals(self, raise_atomtype_exception=True): """ cython.declare(added=dict, atom=Atom, i=int, H=Atom, bond=Bond) added = {} - for atom in self.atoms: + for atom in self.vertices: for i in range(atom.radical_electrons): H = Atom('H', radical_electrons=0, lone_pairs=0, charge=0) bond = Bond(atom, H, 1) @@ -2465,12 +2475,12 @@ def replace_halogen_with_hydrogen(self, raise_atomtype_exception=True): cython.declare(halogen_atom_list=list, atom=Atom, bond_to_replace_dict=dict, H_atom=Atom, bonded_atom=Atom, bond_to_replace=Bond, new_bond=Bond) # the list of halogen atoms must be obtained before any of the halogen atoms are replaced because it changes - # the order of self.atoms - halogen_atom_list = [atom for atom in self.atoms if atom.is_halogen()] + # the order of self.vertices + halogen_atom_list = [atom for atom in self.vertices if atom.is_halogen()] for atom in halogen_atom_list: if not atom.charge == 0: raise ValueError('For a given molecule {0}, a halogen atom {1} with charge {2} cannot be replaced ' - 'with a hydrogen atom'.format(self.to_smiles(), atom.symbol, atom.charge)) + 'with a hydrogen atom'.format(self.to_smiles(), atom.element.symbol, atom.charge)) bond_to_replace_dict = self.get_bonds(atom) self.remove_atom(atom) H_atom = Atom('H', radical_electrons=atom.radical_electrons, lone_pairs=0, charge=0) @@ -2488,9 +2498,10 @@ def to_group(self): This method converts a list of atoms in a Molecule to a Group object. """ + cython.declare(atom=Atom, bonded_atom=Atom, bond=Bond, group=gr.Group) # Create GroupAtom object for each atom in the molecule group_atoms = OrderedDict() # preserver order of atoms in original container - for atom in self.atoms: + for atom in self.vertices: group_atoms[atom] = gr.GroupAtom(atomtype=[atom.atomtype], radical_electrons=[atom.radical_electrons], charge=[atom.charge], @@ -2504,7 +2515,7 @@ def to_group(self): facet=[self.facet] if self.facet else []) # Create GroupBond for each bond between atoms in the molecule - for atom in self.atoms: + for atom in self.vertices: for bonded_atom, bond in atom.edges.items(): group.add_bond(gr.GroupBond(group_atoms[atom], group_atoms[bonded_atom], order=[bond.order])) @@ -2517,7 +2528,7 @@ def identify_ring_membership(self): Performs ring perception and saves ring membership information to the Atom.props attribute. """ cython.declare(atom=Atom) - for atom in self.atoms: + for atom in self.vertices: atom.props["inRing"] = self.is_vertex_in_cycle(atom) def count_aromatic_rings(self): @@ -2698,7 +2709,7 @@ def get_smallest_set_of_smallest_rings(self, symmetrized=False): for ring in ring_info: # Map the new canonical indices back to the original RMG atom indices original_idx_ring = [new_order[idx] for idx in ring] - atom_ring = [self.atoms[idx] for idx in original_idx_ring] + atom_ring = [self.vertices[idx] for idx in original_idx_ring] sorted_ring = self.sort_cyclic_vertices(atom_ring) sssr.append(sorted_ring) @@ -2898,9 +2909,10 @@ def assign_atom_ids(self): Uses entire range of cython's integer values to reduce chance of duplicates """ + cython.declare(atom=Atom) global atom_id_counter - for atom in self.atoms: + for atom in self.vertices: atom.id = atom_id_counter atom_id_counter += 1 if atom_id_counter == 2 ** 15: @@ -2910,8 +2922,9 @@ def atom_ids_valid(self): """ Checks to see if the atom IDs are valid in this structure """ - num_atoms = len(self.atoms) - num_ids = len(set([atom.id for atom in self.atoms])) + cython.declare(atom=Atom, num_atoms=int, num_ids=int) + num_atoms = len(self.vertices) + num_ids = len(set([atom.id for atom in self.vertices])) if num_atoms == num_ids: # all are unique @@ -2936,14 +2949,14 @@ def is_identical(self, other, strict=True): 'Got a {0} object for parameter "other", when a Molecule object is required.'.format(other.__class__)) # Get a set of atom indices for each molecule - atom_ids = set([atom.id for atom in self.atoms]) - other_ids = set([atom.id for atom in other.atoms]) + atom_ids = set([atom.id for atom in self.vertices]) + other_ids = set([atom.id for atom in other.vertices]) if atom_ids == other_ids: # If the two molecules have the same indices, then they might be identical # Sort the atoms by ID - atom_list = sorted(self.atoms, key=attrgetter('id')) - other_list = sorted(other.atoms, key=attrgetter('id')) + atom_list = sorted(self.vertices, key=attrgetter('id')) + other_list = sorted(other.vertices, key=attrgetter('id')) # If matching atom indices gives a valid mapping, then the molecules are fully identical mapping = {} @@ -3001,7 +3014,7 @@ def get_surface_sites(self): List(Atom): A list containing the surface site atoms in the molecule """ cython.declare(atom=Atom) - return [atom for atom in self.atoms if atom.is_surface_site()] + return [atom for atom in self.vertices if atom.is_surface_site()] def is_multidentate(self): """ @@ -3009,7 +3022,7 @@ def is_multidentate(self): or ``False`` otherwise. """ cython.declare(atom=Atom) - if len([atom for atom in self.atoms if atom.is_surface_site()])>=2: + if len([atom for atom in self.vertices if atom.is_surface_site()])>=2: return True return False @@ -3022,8 +3035,8 @@ def get_adatoms(self): cython.declare(surface_site=Atom, adatoms=list) adatoms = [] for surface_site in self.get_surface_sites(): - if surface_site.bonds: - adatoms.extend(surface_site.bonds.keys()) + if surface_site.edges: + adatoms.extend(surface_site.edges.keys()) return adatoms def get_desorbed_molecules(self): @@ -3049,13 +3062,13 @@ def get_desorbed_molecules(self): sites_to_remove = desorbed_molecule.get_surface_sites() adsorbed_atoms = [] for site in sites_to_remove: - numbonds = len(site.bonds) + numbonds = len(site.edges) if numbonds == 0: # vanDerWaals pass else: - assert len(site.bonds) == 1, "Each surface site can only be bonded to 1 atom" - (bonded_atom, bond), = site.bonds.items() + assert len(site.edges) == 1, "Each surface site can only be bonded to 1 atom" + (bonded_atom, bond), = site.edges.items() adsorbed_atoms.append(bonded_atom) desorbed_molecule.remove_bond(bond) if bond.is_single(): @@ -3086,7 +3099,7 @@ def get_desorbed_molecules(self): try: atom0 = adsorbed_atoms[i] atom1 = adsorbed_atoms[j] - bond = atom0.bonds[atom1] + bond = atom0.edges[atom1] except KeyError: pass # the two adsorbed atoms are not bonded to each other else: From 64411974a47a9bab1853e3e85ef2ec580919729f Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 15:51:54 -0400 Subject: [PATCH 556/700] Modest cleanup of ensure_independent_atom_ids. Inlines the nested independent_ids() closure so the unique-IDs check is part of the function body. Microbenchmarks show ~6% speedup on a typical 2-species/10-atoms case (3.6us -> 3.4us) but the real value is readability: one less function definition and one less call per invocation (it's called ~115K times in the catalytic profile). Also collapses the slow-path's two list comprehensions over species.molecule (one filtering reactive, one filtering not reactive) into a single pass that splits into two lists. The bigger time sink in this code path is actually filter_structures and its deepcopy fanout (cumtime ~105s in the same profile vs ~242s self-time for this function); that's a separate target. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/data/kinetics/common.py | 33 +++++++++++++++++---------------- 1 file changed, 17 insertions(+), 16 deletions(-) diff --git a/rmgpy/data/kinetics/common.py b/rmgpy/data/kinetics/common.py index 78b6712f29c..399c30f7459 100644 --- a/rmgpy/data/kinetics/common.py +++ b/rmgpy/data/kinetics/common.py @@ -195,28 +195,29 @@ def ensure_independent_atom_ids(input_species, resonance=True): """ ensure_species(input_species) # do not generate resonance structures since we do so below - # Method to check that all species' atom ids are different - def independent_ids(): - num_atoms = 0 - ids = [] - for spcs in input_species: - num_atoms += len(spcs.molecule[0].atoms) - ids.extend([atom.id for atom in spcs.molecule[0].atoms]) - num_id = len(set(ids)) - return num_id == num_atoms - - # If they are not all different, reassign ids and remake resonance structures - if not independent_ids(): + # Inline check that all atom IDs across all species' first molecule are unique. + # Building a list then converting to set is faster than incremental set.add() + # because set(list) has a vectorized C path. + ids = [] + for spcs in input_species: + atoms = spcs.molecule[0].atoms + ids.extend([atom.id for atom in atoms]) + + if len(set(ids)) != len(ids): + # Collision: reassign IDs and remake resonance structures for species in input_species: - unreactive_mol_list = [mol for mol in species.molecule if not mol.reactive] - mol = [mol for mol in species.molecule if mol.reactive][0] # Choose first reactive molecule + reactive_mols = [] + unreactive_mols = [] + for m in species.molecule: + (reactive_mols if m.reactive else unreactive_mols).append(m) + mol = reactive_mols[0] # Choose first reactive molecule mol.assign_atom_ids() species.molecule = [mol] # Remake resonance structures with new labels if resonance: species.generate_resonance_structures(keep_isomorphic=True) - if len(unreactive_mol_list): - species.molecule.extend(unreactive_mol_list) + if unreactive_mols: + species.molecule.extend(unreactive_mols) elif resonance: # IDs are already independent, generate resonance structures if needed for species in input_species: From 310d1aabc281b1661422a60c680c3f74cebf9356 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 16:00:26 -0400 Subject: [PATCH 557/700] Optimize filtration.py hot paths. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Claude did the work. I supervised. It did a bunch of benchmarking along the way. Overall, these only eke out a small win, but we may as well have them. I did look them over. --- filter_structures and its callees are called 332K times in the catalytic profile (~105s cumulative), with much of the work attributed to deepcopy (16.6M calls, 157s cum). Changes: - mark_unreactive_structures: hoist mol_list[0].copy(deep=True) out of the per-iteration loop. It was constant across iterations but was being deep-copied on every comparison. This is the largest contributor here. End-to-end resonance generation for butadienyl (small species, deepcopy-bound) drops from 0.81 ms to 0.71 ms (~12%); naphthalenyl (~1%, dominated by other work). - octet_filtration: hoist min(octet_deviation_list) out of the loop (was recomputed each iteration — O(N^2)). - stabilize_charges_by_electronegativity and _by_proximity: use a set for indices_to_pop instead of a list, so the `i in ...` membership checks are O(1) instead of O(N). - Replace min([...] or [0]) / max([...] or [0]) with the more efficient min(generator, default=0) / max(generator, default=0) (avoids materializing the list when only the min/max is needed). - atom.bonds.items() -> atom.edges.items() (4 sites): bonds is a @property dispatching to edges; edges is the underlying list and avoids the property lookup. - atom.symbol -> atom.element.symbol (2 sites): same reasoning. All 265 molecule + 38 kinetics tests still pass. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/molecule/filtration.py | 37 ++++++++++++++++++++---------------- 1 file changed, 21 insertions(+), 16 deletions(-) diff --git a/rmgpy/molecule/filtration.py b/rmgpy/molecule/filtration.py index 6fd91a27339..1a52596666e 100644 --- a/rmgpy/molecule/filtration.py +++ b/rmgpy/molecule/filtration.py @@ -159,7 +159,7 @@ def get_octet_deviation(mol, allow_expanded_octet=True): elif atom.lone_pairs >= 2: octet_deviation += abs(8 - val_electrons) # octet on S p[2,3] # eg [S][S], OS[O], [NH+]#[N+][S-][O-], O[S-](O)[N+]#N, S=[O+][O-] - for atom2, bond in atom.bonds.items(): + for atom2, bond in atom.edges.items(): if atom2.is_sulfur() and bond.is_triple(): octet_deviation += 0.5 # penalty for S#S substructures. Often times sulfur can have a triple # bond to another sulfur in a structure that obeys the octet rule, but probably shouldn't be a @@ -186,10 +186,11 @@ def octet_filtration(mol_list, octet_deviation_list): charge-strained species are still kept (e.g., [NH]N=S=O <-> [NH+]#[N+][S-][O-]), we also generate during the same loop a charge_span_list to keep track of the charge spans. This is used for further filtering. """ + min_octet_deviation = min(octet_deviation_list) filtered_list = [] charge_span_list = [] for index, mol in enumerate(mol_list): - if octet_deviation_list[index] == min(octet_deviation_list): + if octet_deviation_list[index] == min_octet_deviation: filtered_list.append(mol) charge_span_list.append(mol.get_charge_span()) @@ -243,7 +244,7 @@ def charge_filtration(filtered_list, charge_span_list): for atom in mol.vertices: if atom.radical_electrons and int(atom.sorting_label) not in rad_sorting_list: rad_sorting_list.append(int(atom.sorting_label)) - for atom2, bond in atom.bonds.items(): + for atom2, bond in atom.edges.items(): # check if bond is multiple, store only from one side (atom1 < atom2) for consistency if atom2.sorting_label > atom.sorting_label and bond.is_double() or bond.is_triple(): mul_bond_sorting_list.append((int(atom.sorting_label), int(atom2.sorting_label))) @@ -278,7 +279,7 @@ def find_unique_sites_in_charged_list(mol, rad_sorting_list, mul_bond_sorting_li for atom in mol.vertices: if atom.radical_electrons and int(atom.sorting_label) not in rad_sorting_list: return [mol] - for atom2, bond in atom.bonds.items(): + for atom2, bond in atom.edges.items(): if (atom2.sorting_label > atom.sorting_label and (bond.is_double() or bond.is_triple()) and (int(atom.sorting_label), int(atom2.sorting_label)) not in mul_bond_sorting_list and not (atom.is_sulfur() and atom2.is_sulfur())): @@ -295,13 +296,13 @@ def stabilize_charges_by_electronegativity(mol_list, allow_empty_list=False): to ``True`` and all structures in `mol_list` violate the electronegativity heuristic, the original `mol_list` is returned (examples: [C-]#[O+], CS, [NH+]#[C-], [OH+]=[N-], [C-][S+]=C violate this heuristic). """ - indices_to_pop = [] + indices_to_pop = set() mol_list_copy = list(mol_list) for i, mol in enumerate(mol_list): electroneg_positively_charged_atoms = electroneg_negatively_charged_atoms = 0 for atom in mol.vertices: if atom.charge > 0: - electroneg_positively_charged_atoms += PeriodicSystem.electronegativity[atom.symbol] * abs(atom.charge) + electroneg_positively_charged_atoms += PeriodicSystem.electronegativity[atom.element.symbol] * abs(atom.charge) if atom.is_oxygen(): for atom2 in atom.edges.keys(): if atom2.is_fluorine() and atom2.charge < 0: @@ -312,13 +313,13 @@ def stabilize_charges_by_electronegativity(mol_list, allow_empty_list=False): # [C-]#[O+] and [O-][O+]=O, which are correct structures, also get penalized here, but that's OK # since they are still eventually selected as representative structures according to the rules here. elif atom.charge < 0: - electroneg_negatively_charged_atoms += PeriodicSystem.electronegativity[atom.symbol] * abs(atom.charge) + electroneg_negatively_charged_atoms += PeriodicSystem.electronegativity[atom.element.symbol] * abs(atom.charge) if electroneg_positively_charged_atoms > electroneg_negatively_charged_atoms: # Filter structures in which more electronegative atoms are positively charged. # This condition is NOT hermetic: It is possible to think of a situation where one structure has # several pairs of formally charged atoms, where one of the pairs isn't obeying the # electronegativity rule, while the sum of the pairs does. - indices_to_pop.append(i) + indices_to_pop.add(i) for i in reversed(range(len(mol_list))): # pop starting from the end, so indices won't change if i in indices_to_pop: mol_list.pop(i) @@ -333,7 +334,7 @@ def stabilize_charges_by_proximity(mol_list): Only keep structures that obey the charge proximity rule. Opposite charges will be as close as possible to one another, and vice versa. """ - indices_to_pop = [] + indices_to_pop = set() charge_distance_list = [] # indices match mol_list for i, mol in enumerate(mol_list): # Try finding well-defined pairs of formally-charged atoms to apply the proximity principle @@ -352,17 +353,18 @@ def stabilize_charges_by_proximity(mol_list): cumulative_similar_charge_distance += len(find_shortest_path(atom1, atom2)) charge_distance_list.append([cumulative_opposite_charge_distance, cumulative_similar_charge_distance]) - min_cumulative_opposite_charge_distance = min([distances[0] for distances in charge_distance_list] - or [0]) # in Python 3 use `min(list, default=0)` + min_cumulative_opposite_charge_distance = min((distances[0] for distances in charge_distance_list), + default=0) for i, distances in enumerate(charge_distance_list): # after generating the charge_distance_list, iterate through it and mark structures to pop if distances[0] > min_cumulative_opposite_charge_distance: - indices_to_pop.append(i) - max_cumulative_similar_charge_distance = max([distances[1] for i, distances in - enumerate(charge_distance_list) if i not in indices_to_pop] or [0]) + indices_to_pop.add(i) + max_cumulative_similar_charge_distance = max((distances[1] for i, distances in + enumerate(charge_distance_list) if i not in indices_to_pop), + default=0) for i, distances in enumerate(charge_distance_list): if distances[0] < max_cumulative_similar_charge_distance: - indices_to_pop.append(i) + indices_to_pop.add(i) for i in reversed(range(len(mol_list))): # pop starting from the end, so indices won't change if i in indices_to_pop: mol_list.pop(i) @@ -425,8 +427,11 @@ def mark_unreactive_structures(filtered_list, mol_list, save_order=False): # Make sure that the (first) original structure is always first in the list (unless it was filtered out). # Important whenever Species.molecule[0] is expected to be used (e.g., training reactions) after generating # resonance structures. However, if it was filtered out, it should be appended to the end of the list. + # mol_list[0] is constant across iterations, so copy it once. is_isomorphic with save_order=False can + # reorder atoms in either argument, so we still copy `filtered` per iteration to leave filtered_list intact. + original = mol_list[0].copy(deep=True) for index, filtered in enumerate(filtered_list): - if filtered.copy(deep=True).is_isomorphic(mol_list[0].copy(deep=True), save_order=save_order): + if filtered.copy(deep=True).is_isomorphic(original, save_order=save_order): filtered_list.insert(0, filtered_list.pop(index)) break else: From f987aa28b95713c9ed1964a97a0fbf87c7073907 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 15:39:05 -0400 Subject: [PATCH 558/700] Fix cython declarations and some optimizations in molecule.py --- rmgpy/molecule/molecule.py | 48 ++++++++++++++++++++++++++------------ 1 file changed, 33 insertions(+), 15 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 3ac30ebdd80..7468522c06f 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -604,6 +604,7 @@ def apply_action(self, action): required parameters. The available actions can be found :ref:`here `. """ + cython.declare(act=str, i=cython.Py_ssize_t, n=cython.Py_ssize_t) # Invalidate current atom type self.atomtype = None act = action[0].upper() @@ -612,17 +613,23 @@ def apply_action(self, action): # Nothing else to do here pass elif act == 'GAIN_RADICAL': - for i in range(action[2]): self.increment_radical() + n = action[2] + for i in range(n): self.increment_radical() elif act == 'LOSE_RADICAL': - for i in range(abs(action[2])): self.decrement_radical() + n = action[2] + for i in range(n): self.decrement_radical() elif act == 'GAIN_CHARGE': - for i in range(action[2]): self.increment_charge() + n = action[2] + for i in range(n): self.increment_charge() elif act == 'LOSE_CHARGE': - for i in range(abs(action[2])): self.decrement_charge() - elif action[0].upper() == 'GAIN_PAIR': - for i in range(action[2]): self.increment_lone_pairs() - elif action[0].upper() == 'LOSE_PAIR': - for i in range(abs(action[2])): self.decrement_lone_pairs() + n = action[2] + for i in range(n): self.decrement_charge() + elif act == 'GAIN_PAIR': + n = action[2] + for i in range(n): self.increment_lone_pairs() + elif act == 'LOSE_PAIR': + n = action[2] + for i in range(n): self.decrement_lone_pairs() else: raise gr.ActionError('Unable to update Atom: Invalid action {0}".'.format(action)) @@ -1318,8 +1325,8 @@ def get_formula(self): """ Return the molecular formula for the molecule. """ - cython.declare(atom=Atom, symbol=str, elements=dict, keys=list, formula=str) - cython.declare(hasCarbon=cython.bint, hasHydrogen=cython.bint) + cython.declare(atom=Atom, symbol=str, element_dict=dict, keys=list, + formula=str, count=int) # Count the number of each element in the molecule element_dict = {} @@ -1600,7 +1607,7 @@ def get_element_count(self): """ Returns the element count for the molecule as a dictionary. """ - cython.declare(atom=Atom, element_count=dict, symbol=str, key=str) + cython.declare(atom=Atom, element_count=dict, symbol=str) element_count = {} for atom in self.vertices: symbol = atom.element.symbol @@ -2419,8 +2426,19 @@ def get_net_charge(self): Iterate through the atoms in the structure and calculate the net charge on the overall molecule. """ - cython.declare(atom=Atom) - return sum([atom.charge for atom in self.vertices]) + # return sum(atom.charge for atom in self.vertices) + cython.declare( + i=cython.Py_ssize_t, + n=cython.Py_ssize_t, + total=cython.int, + atom=Atom, + ) + total = 0 + n = len(self.vertices) + for i in range(n): + atom = self.vertices[i] + total += atom.charge + return total def get_charge_span(self): """ @@ -2575,7 +2593,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): return [], [] cython.declare(rd_atom_indices=dict, ob_atom_ids=dict, aromatic_rings=list, aromatic_bonds=list) - cython.declare(ring0=list, i=cython.int, atom1=Atom, atom2=Atom) + cython.declare(ring0=list, i=cython.Py_ssize_t, atom1=Atom, atom2=Atom) from rdkit.Chem.rdchem import BondType AROMATIC = BondType.AROMATIC @@ -2584,7 +2602,7 @@ def get_aromatic_rings(self, rings=None, save_order=False): rings = self.get_smallest_set_of_smallest_rings() # Remove rings that share more than 3 atoms, since they cannot be planar - cython.declare(toRemove=set, j=cython.int, toRemoveSorted=list) + cython.declare(to_remove=set, j=cython.Py_ssize_t, to_remove_sorted=list) if len(rings) < 2: pass else: From 7881267704f87046f0cc59ac09cb7cb6d1ce5393 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 15:58:22 -0400 Subject: [PATCH 559/700] More cython declaration fixes in molecule.py I asked Codex (GPT 5.5) to find similar fixes to the ones I just implemented. Then checked them manually. --- rmgpy/molecule/molecule.py | 27 ++++++++++++--------------- 1 file changed, 12 insertions(+), 15 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 7468522c06f..095161bb75b 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1290,7 +1290,7 @@ def sort_atoms(self): Placing hydrogens last during sorting ensures that functions with hydrogen removal work properly. """ - cython.declare(vertex=Vertex, a=Atom, index=int) + cython.declare(vertex=Vertex, index=int) for vertex in self.vertices: if vertex.sorting_label < 0: self.update_connectivity_values() @@ -1325,7 +1325,7 @@ def get_formula(self): """ Return the molecular formula for the molecule. """ - cython.declare(atom=Atom, symbol=str, element_dict=dict, keys=list, + cython.declare(atom=Atom, symbol=str, element_dict=dict, keys=list, key=str, formula=str, count=int) # Count the number of each element in the molecule @@ -1398,7 +1398,7 @@ def get_num_atoms(self, element=None): Return the number of atoms in molecule. If element is given, ie. "H" or "C", the number of atoms of that element is returned. """ - cython.declare(numAtoms=cython.int, atom=Atom) + cython.declare(num_atoms=cython.int, atom=Atom) if element is None: return len(self.vertices) else: @@ -1480,8 +1480,8 @@ def connect_the_dots(self, critical_distance_factor=0.45, raise_atomtype_excepti Delete all bonds, and set them again based on the Atoms' coords. Does not detect bond type. """ - cython.declare(criticalDistance=float, i=int, atom1=Atom, atom2=Atom, - bond=Bond, atoms=list, zBoundary=float) + cython.declare(critical_distance=float, i=cython.Py_ssize_t, atom=Atom, atom1=Atom, atom2=Atom, + bond=Bond, atoms=list, sorted_atoms=list, z_boundary=float, distance_squared=float) # groupBond=GroupBond, self._fingerprint = None @@ -1707,9 +1707,8 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F while the atoms of `other` are the values). The `other` parameter must be a :class:`Group` object, or a :class:`TypeError` is raised. """ - cython.declare(group=gr.Group, atom=Atom) - cython.declare(carbonCount=cython.short, nitrogenCount=cython.short, oxygenCount=cython.short, - sulfurCount=cython.short, radicalCount=cython.short) + cython.declare(group=gr.Group, atom=Atom, element_count=dict, element=str, count=cython.short, + result=cython.bint) cython.declare(L=list) # It only makes sense to compare a Molecule to a Group for subgraph # isomorphism, so raise an exception if this is not what was requested @@ -1783,9 +1782,7 @@ def find_subgraph_isomorphisms(self, other, initial_map=None, save_order=False): The `other` parameter must be a :class:`Group` object, or a :class:`TypeError` is raised. """ - cython.declare(group=gr.Group, atom=Atom) - cython.declare(carbonCount=cython.short, nitrogenCount=cython.short, oxygenCount=cython.short, - sulfurCount=cython.short, radicalCount=cython.short) + cython.declare(group=gr.Group, element_count=dict, element=str, count=cython.short, result=list) # It only makes sense to compare a Molecule to a Group for subgraph # isomorphism, so raise an exception if this is not what was requested @@ -1947,7 +1944,7 @@ def to_single_bonds(self, raise_atomtype_exception=True): This is useful for isomorphism comparison against something that was made via from_xyz, which does not attempt to perceive bond orders """ - cython.declare(atom1=Atom, atom2=Atom, bond=Bond, newMol=Molecule, atoms=list, mapping=dict) + cython.declare(atom1=Atom, atom2=Atom, bond=Bond, new_mol=Molecule, atoms=list, mapping=dict) new_mol = Molecule() atoms = self.vertices @@ -2215,7 +2212,7 @@ def is_aromatic(self): there will be at least one 6 membered aromatic ring so this algorithm will not fail for fused aromatic rings. """ - cython.declare(rc=list, cycle=list, atom=Atom) + cython.declare(rings=list, cycle=list, atom=Atom) rings = self.get_smallest_set_of_smallest_rings() if rings: for cycle in rings: @@ -2409,7 +2406,7 @@ def update_lone_pairs(self): Iterate through the atoms in the structure and calculate the number of lone electron pairs, assuming a neutral molecule. """ - cython.declare(atom1=Atom, atom2=Atom, bond12=Bond, order=cython.double) + cython.declare(atom1=Atom, order=cython.double) for atom1 in self.vertices: if atom1.is_hydrogen() or atom1.is_surface_site() or atom1.is_electron() or atom1.is_lithium(): atom1.lone_pairs = 0 @@ -3175,7 +3172,7 @@ def get_ring_count_in_largest_fused_ring_system(self) -> int: Returns 0 if the molecule has no fused rings (only monocycles or no rings). """ cython.declare(polycycles=list, sssr=list, sssr_sets=list, ring_counts=list) - cython.declare(polycycle=list, ring=list) + cython.declare(polycycle=list, poly_set=set, ring_set=set, ring_count=cython.int) polycycles = self.get_polycycles() if not polycycles: From bfdb12bee6f933a2d19ef44e099251b8b2d799eb Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 11:01:08 -0400 Subject: [PATCH 560/700] Fix off-by-one in CHEMKIN THERM default-range line I/O read_thermo_block sliced 9 chars per slot ([0:9], [10:19], [20:29]) instead of the documented 10 (cols 1-10, 11-20, 21-30). With a value right-anchored against the right edge of a slot, e.g. ' 1000' (six spaces + 1000) the slice produced ' 100' and the value was misread as 100. Real chemkin files happen not to pack that tightly, so the bug was latent for years. save_chemkin_surface_file also wrote the default-range header with 4 leading spaces instead of 3, shifting every value one column right. The gas-phase save_chemkin_file was corrected in 37dbd53a but the surface variant (added later in 5a65011) inherited a pre-fix copy and never got the same correction, so every surface chemkin file RMG has written since carries the misaligned header. Add a regression test that parses a default-range line packing values to both edges of each 10-column slot. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/chemkin.pyx | 8 ++++---- test/rmgpy/chemkinTest.py | 22 ++++++++++++++++++++++ 2 files changed, 26 insertions(+), 4 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 9aac0dcabf3..1c09b753dae 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1250,9 +1250,9 @@ def read_thermo_block(f, species_dict): meaningfulline, comment = remove_comment_from_line(line) Tmin = Tint = Tmax = None try: - Tmin = float(meaningfulline[0:9].strip()) - Tint = float(meaningfulline[10:19].strip()) - Tmax = float(meaningfulline[20:29].strip()) + Tmin = float(meaningfulline[0:10].strip()) + Tint = float(meaningfulline[10:20].strip()) + Tmax = float(meaningfulline[20:30].strip()) if [Tmin, Tint, Tmax] != [float(i) for i in meaningfulline.split()[0:3]]: logging.warning("Default temperature range line {0!r} may be badly formatted.".format(line)) logging.warning("It should have Tmin in columns 1-10, Tmid in columns 11-20, and Tmax in columns 21-30") @@ -2198,7 +2198,7 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_ # Thermodynamics section f.write('THERM ALL\n') - f.write(' 300.000 1000.000 5000.000\n\n') + f.write(' 300.000 1000.000 5000.000\n\n') for spec in sorted_species: f.write(write_thermo_entry(spec, verbose=verbose)) f.write('\n') diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index e72d227a929..8c42c434b51 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -27,6 +27,7 @@ # # ############################################################################### +import io import os from unittest import mock @@ -39,6 +40,7 @@ mark_duplicate_reactions, read_kinetics_entry, read_reaction_comments, + read_thermo_block, read_thermo_entry, save_chemkin_file, save_chemkin_surface_file, @@ -144,6 +146,26 @@ def test_read_thermo_entry_no_temperature_range(self): assert formula == {"H": 6, "C": 2} assert isinstance(thermo, NASA) + @mock.patch("rmgpy.chemkin.logging") + def test_read_thermo_block_temperature_header_columns(self, mock_logging): + # Per the CHEMKIN spec the default-range line is fixed-width: + # Tmin in cols 1-10, Tint in cols 11-20, Tmax in cols 21-30. + # Slot 1: 150 left-anchored (leftmost digit in col 1). + # Slot 2: 1000 right-anchored (rightmost digit in col 20) + # ' 1000' that could be misread as 100. + # Slot 3: 9999 right-anchored (rightmost digit in col 30). + header = "150 1000 9999" + assert len(header) == 30 + f = io.StringIO("THERM ALL\n" + header + "\nEND\n") + + read_thermo_block(f, species_dict={}) + + mock_logging.info.assert_any_call( + "Thermo file has default temperature range 150.0 to 1000.0 and 1000.0 to 9999.0" + ) + for call in mock_logging.warning.call_args_list: + assert "badly formatted" not in call.args[0] + def test_read_and_write_and_read_template_reaction_family_for_minimal_example(self): """ This example tests if family and templates info can be correctly From d1473f828b88cfdf3eb18e309a5f9d821f43f973 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 11:02:04 -0400 Subject: [PATCH 561/700] Realign THERM default-range header in committed CHEMKIN fixtures Replace ' 300.000 1000.000 5000.000' (4 leading spaces) with ' 300.000 1000.000 5000.000' (3 leading spaces) in every tracked fixture. These files were originally written by the buggy save_chemkin_surface_file (or by a pre-fix copy of the gas-phase writer), so the header was one column wider than the strict cols 1-10/11-20/21-30 spec. The parser's fallback handled the misaligned form, so RMG behaviour is unchanged; the goal is just to stop the "Thermo file has no default temperature ranges" warning from appearing in test logs. mainTest.py contains inline chemkin strings used as test fixtures and gets the same one-space fix. Co-Authored-By: Claude Opus 4.7 (1M context) --- examples/scripts/diffModels/Models/DFT_chem.inp | 2 +- examples/scripts/diffModels/Models/Primary_chem.inp | 2 +- ipython/data/pathway_analysis/minimal/chem.inp | 2 +- ipython/data/regression/new/chem_annotated.inp | 2 +- ipython/data/regression/old/chem_annotated.inp | 2 +- rmgpy/solver/files/collider_model/chem.inp | 2 +- rmgpy/solver/files/listener/chemkin/chem.inp | 2 +- rmgpy/tools/data/diffmodels/chem1.inp | 2 +- rmgpy/tools/data/diffmodels/chem2.inp | 2 +- rmgpy/tools/data/diffmodels/chem3.inp | 2 +- rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp | 2 +- rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp | 2 +- rmgpy/tools/data/flux/chemkin/chem.inp | 2 +- rmgpy/tools/data/regression/benchmark/chem_annotated.inp | 2 +- rmgpy/tools/data/regression/tested/chem_annotated.inp | 2 +- rmgpy/tools/data/sim/liquid/chem.inp | 2 +- rmgpy/tools/data/sim/mbSampled/chem.inp | 2 +- rmgpy/tools/data/sim/simple/chem.inp | 2 +- rmgpy/tools/data/various_kinetics/chem_annotated.inp | 2 +- test/rmgpy/rmg/mainTest.py | 6 +++--- test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp | 2 +- test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp | 2 +- test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp | 2 +- .../rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp | 2 +- test/rmgpy/test_data/parsing_data/chem_annotated.inp | 2 +- test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp | 2 +- 26 files changed, 28 insertions(+), 28 deletions(-) diff --git a/examples/scripts/diffModels/Models/DFT_chem.inp b/examples/scripts/diffModels/Models/DFT_chem.inp index c8fa2c3641d..86b66518528 100644 --- a/examples/scripts/diffModels/Models/DFT_chem.inp +++ b/examples/scripts/diffModels/Models/DFT_chem.inp @@ -57,7 +57,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar 1 G 200.000 6000.000 1000.00 1 diff --git a/examples/scripts/diffModels/Models/Primary_chem.inp b/examples/scripts/diffModels/Models/Primary_chem.inp index 96fdd0677bd..33ff2aaa905 100644 --- a/examples/scripts/diffModels/Models/Primary_chem.inp +++ b/examples/scripts/diffModels/Models/Primary_chem.inp @@ -53,7 +53,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar 1 G 200.000 6000.000 1000.00 1 diff --git a/ipython/data/pathway_analysis/minimal/chem.inp b/ipython/data/pathway_analysis/minimal/chem.inp index adc95e4d95f..9f7180591ce 100644 --- a/ipython/data/pathway_analysis/minimal/chem.inp +++ b/ipython/data/pathway_analysis/minimal/chem.inp @@ -20,7 +20,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/ipython/data/regression/new/chem_annotated.inp b/ipython/data/regression/new/chem_annotated.inp index 17167604011..8daf18891cb 100644 --- a/ipython/data/regression/new/chem_annotated.inp +++ b/ipython/data/regression/new/chem_annotated.inp @@ -25,7 +25,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/ipython/data/regression/old/chem_annotated.inp b/ipython/data/regression/old/chem_annotated.inp index 1ace47d0266..926109b6e2f 100644 --- a/ipython/data/regression/old/chem_annotated.inp +++ b/ipython/data/regression/old/chem_annotated.inp @@ -25,7 +25,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/rmgpy/solver/files/collider_model/chem.inp b/rmgpy/solver/files/collider_model/chem.inp index 9ec405ec2b4..baa5e30d4a6 100644 --- a/rmgpy/solver/files/collider_model/chem.inp +++ b/rmgpy/solver/files/collider_model/chem.inp @@ -20,7 +20,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar1 G200.000 6000.000 1000.00 1 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 diff --git a/rmgpy/solver/files/listener/chemkin/chem.inp b/rmgpy/solver/files/listener/chemkin/chem.inp index 93290297d99..d54bf1f8478 100644 --- a/rmgpy/solver/files/listener/chemkin/chem.inp +++ b/rmgpy/solver/files/listener/chemkin/chem.inp @@ -15,7 +15,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar1 G200.000 6000.000 1000.00 1 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 diff --git a/rmgpy/tools/data/diffmodels/chem1.inp b/rmgpy/tools/data/diffmodels/chem1.inp index 7fc3771f7db..35fcd82510e 100644 --- a/rmgpy/tools/data/diffmodels/chem1.inp +++ b/rmgpy/tools/data/diffmodels/chem1.inp @@ -19,7 +19,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) C 2 H 6 G100.000 5000.000 954.52 1 4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2 diff --git a/rmgpy/tools/data/diffmodels/chem2.inp b/rmgpy/tools/data/diffmodels/chem2.inp index 7fc3771f7db..35fcd82510e 100644 --- a/rmgpy/tools/data/diffmodels/chem2.inp +++ b/rmgpy/tools/data/diffmodels/chem2.inp @@ -19,7 +19,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) C 2 H 6 G100.000 5000.000 954.52 1 4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2 diff --git a/rmgpy/tools/data/diffmodels/chem3.inp b/rmgpy/tools/data/diffmodels/chem3.inp index 12570fd6e41..397571f60bc 100644 --- a/rmgpy/tools/data/diffmodels/chem3.inp +++ b/rmgpy/tools/data/diffmodels/chem3.inp @@ -12,7 +12,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! GRI-Mech3.0 ethane H 6C 2 G 100.000 5000.000 1002.57 1 2.56122991E+00 1.83185519E-02-7.41959133E-06 1.38553537E-09-9.75184837E-14 2 diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp index 582fcf235f6..601f634e86d 100644 --- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp +++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp @@ -21,7 +21,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: surfaceThermoPt111 Binding energy corrected by LSR () from Pt111 X(1) X 1 G 100.000 5000.000 1554.83 1 diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp index a01200386d9..8fbfca2f6ae 100644 --- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp +++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp @@ -20,7 +20,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: surfaceThermoPt111 Binding energy corrected by LSR () from Pt111 X(1) X 1 G 100.000 5000.000 1554.81 1 diff --git a/rmgpy/tools/data/flux/chemkin/chem.inp b/rmgpy/tools/data/flux/chemkin/chem.inp index 4b6d1d5e356..0de3f5962e4 100644 --- a/rmgpy/tools/data/flux/chemkin/chem.inp +++ b/rmgpy/tools/data/flux/chemkin/chem.inp @@ -17,7 +17,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar1 G200.000 6000.000 1000.00 1 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 diff --git a/rmgpy/tools/data/regression/benchmark/chem_annotated.inp b/rmgpy/tools/data/regression/benchmark/chem_annotated.inp index 1ace47d0266..926109b6e2f 100644 --- a/rmgpy/tools/data/regression/benchmark/chem_annotated.inp +++ b/rmgpy/tools/data/regression/benchmark/chem_annotated.inp @@ -25,7 +25,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/rmgpy/tools/data/regression/tested/chem_annotated.inp b/rmgpy/tools/data/regression/tested/chem_annotated.inp index 17167604011..8daf18891cb 100644 --- a/rmgpy/tools/data/regression/tested/chem_annotated.inp +++ b/rmgpy/tools/data/regression/tested/chem_annotated.inp @@ -25,7 +25,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/rmgpy/tools/data/sim/liquid/chem.inp b/rmgpy/tools/data/sim/liquid/chem.inp index cdf7f9c1deb..9088fb880f2 100644 --- a/rmgpy/tools/data/sim/liquid/chem.inp +++ b/rmgpy/tools/data/sim/liquid/chem.inp @@ -49,7 +49,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar 1 G 100.000 5000.000 3142.77 1 2.50000000E+00 3.32026413E-12-1.37161245E-15 2.48094222E-19-1.65799619E-23 2 diff --git a/rmgpy/tools/data/sim/mbSampled/chem.inp b/rmgpy/tools/data/sim/mbSampled/chem.inp index 13a454f23d2..637d5d0e5ad 100644 --- a/rmgpy/tools/data/sim/mbSampled/chem.inp +++ b/rmgpy/tools/data/sim/mbSampled/chem.inp @@ -37,7 +37,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Narayanaswamy C6H5 H 5C 6 G 100.000 5000.000 845.04 1 diff --git a/rmgpy/tools/data/sim/simple/chem.inp b/rmgpy/tools/data/sim/simple/chem.inp index 7fc3771f7db..35fcd82510e 100644 --- a/rmgpy/tools/data/sim/simple/chem.inp +++ b/rmgpy/tools/data/sim/simple/chem.inp @@ -19,7 +19,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) C 2 H 6 G100.000 5000.000 954.52 1 4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2 diff --git a/rmgpy/tools/data/various_kinetics/chem_annotated.inp b/rmgpy/tools/data/various_kinetics/chem_annotated.inp index 54acce1ae8a..e299354b2c3 100644 --- a/rmgpy/tools/data/various_kinetics/chem_annotated.inp +++ b/rmgpy/tools/data/various_kinetics/chem_annotated.inp @@ -19,7 +19,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! ! Thermo group additivity estimation: group(Cs-CsHHH) + gauche(Cs(CsRRR)) + other(R) + group(Cs-CsHHH) + gauche(Cs(CsRRR)) + other(R) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index bb5df4bdd80..d3c5ace343f 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -447,7 +447,7 @@ def setup_class(self): END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 @@ -483,7 +483,7 @@ def setup_class(self): END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 @@ -523,7 +523,7 @@ def setup_class(self): END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ethane(1) H 6 C 2 G100.000 5000.000 954.52 1 4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2 diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp index 769021b250e..b2a6b06a7e3 100644 --- a/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp +++ b/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp @@ -68,7 +68,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar1 G200.000 6000.000 1000.00 1 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp index 9fc1a9b3f6f..cf51bc2d75e 100644 --- a/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp +++ b/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp @@ -14,7 +14,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp index b33bc969c8b..8bc76faa408 100644 --- a/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp +++ b/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp @@ -15,7 +15,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp index 0815daee86f..ea252ab0d6c 100644 --- a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp +++ b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp @@ -11,7 +11,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 Ar Ar1 G200.000 6000.000 1000.00 1 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 diff --git a/test/rmgpy/test_data/parsing_data/chem_annotated.inp b/test/rmgpy/test_data/parsing_data/chem_annotated.inp index 2e81aa0fa76..a85f736a422 100644 --- a/test/rmgpy/test_data/parsing_data/chem_annotated.inp +++ b/test/rmgpy/test_data/parsing_data/chem_annotated.inp @@ -31,7 +31,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary O(2) O 1 G100.000 5000.000 4563.27 1 diff --git a/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp b/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp index 6e7ee716566..b0c721baebb 100644 --- a/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp +++ b/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp @@ -22,7 +22,7 @@ END THERM ALL - 300.000 1000.000 5000.000 + 300.000 1000.000 5000.000 ! Thermo library: primaryThermoLibrary Ar Ar1 G200.000 6000.000 1000.00 1 From 5fa7bf7393704fc49701457d141d2a4be6dc77c5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 13:46:42 -0400 Subject: [PATCH 562/700] Chemkin was not writing isotopes correctly. In this patch, we skip using the Molecule.get_element_count() because that returns just the element.symbol, and deuterium is H. --- rmgpy/chemkin.pyx | 7 ++++++- rmgpy/molecule/element.py | 2 +- test/rmgpy/chemkinTest.py | 14 ++++++++++++++ 3 files changed, 21 insertions(+), 2 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 1c09b753dae..5bdfd9e7d2a 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1588,8 +1588,13 @@ def write_thermo_entry(species, element_counts=None, verbose=True): assert thermo.polynomials[1].cm2 == 0 and thermo.polynomials[1].cm1 == 0 # Determine the number of each type of element in the molecule + # Need to use the element's chemkin name, not the element symbol, because of isotopes. + # so we can't just use molecule[0].get_element_count(). if element_counts is None: - element_counts = get_element_count(species.molecule[0]) + element_counts = {} + for atom in species.molecule[0].atoms: + element = atom.element.chemkin_name + element_counts[element] = element_counts.get(element, 0) + 1 # Sort the element_counts dictionary so that it's C, H, Al, B, Cl, D, etc. # if there's any C, else Al, B, Cl, D, H, if not. This is the "Hill" system diff --git a/rmgpy/molecule/element.py b/rmgpy/molecule/element.py index 6ec975fcf94..4f0a6a5704a 100644 --- a/rmgpy/molecule/element.py +++ b/rmgpy/molecule/element.py @@ -77,7 +77,7 @@ def __init__(self, number, symbol, name, mass, isotope=-1, chemkin_name=None): self.name = name self.mass = mass self.isotope = isotope - self.chemkin_name = chemkin_name or self.name + self.chemkin_name = chemkin_name or self.symbol if symbol in {'X','L','R','e'}: self.cov_radius = 0 else: diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index 8c42c434b51..d2683efdaa3 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -791,6 +791,20 @@ def test_read_thermo_block(self): assert formula == {"H": 6, "C": 2} assert self.nasa.is_identical_to(thermo) + def test_write_thermo_block_for_isotope_uses_chemkin_name(self): + """Isotopic atoms should use their Chemkin names in thermo composition.""" + deuterium = Species().from_adjacency_list( + "1 H u0 p0 c0 i2 {2,S}\n" + "2 H u0 p0 c0 {1,S}" + ) + deuterium.thermo = self.nasa + + result = write_thermo_entry(deuterium, verbose=False) + + first_line = result.splitlines()[0] + assert "D 1" in first_line + assert "H 1" in first_line + def test_write_thermo_block_5_elem(self): """Test that we can write a thermo block for a species with 5 elements""" species = Species().from_adjacency_list( From 9fce4517db93d6c9cd7c51be0562ff961417f67e Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 14:05:30 -0400 Subject: [PATCH 563/700] Optimization in chemkin write_thermo_entry --- rmgpy/chemkin.pyx | 86 +++++++++++++++++++++++++++-------------------- 1 file changed, 50 insertions(+), 36 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 5bdfd9e7d2a..e9f5e78df00 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -52,6 +52,7 @@ from rmgpy.reaction import Reaction from rmgpy.rmg.pdep import PDepNetwork, PDepReaction from rmgpy.species import Species from rmgpy.thermo import NASAPolynomial, NASA +from rmgpy.thermo.nasa cimport NASA, NASAPolynomial from rmgpy.transport import TransportData from rmgpy.util import make_output_subdirectory @@ -1568,42 +1569,55 @@ def get_species_identifier(species): ################################################################################ -def write_thermo_entry(species, element_counts=None, verbose=True): +def write_thermo_entry(species, element_counts=None, bint verbose=True): """ Return a string representation of the NASA model readable by Chemkin. To use this method you must have exactly two NASA polynomials in your model, and you must use the seven-coefficient forms for each. """ - - thermo = species.get_thermo_data() - - if not isinstance(thermo, NASA): + cdef NASA thermo + cdef NASAPolynomial poly_low, poly_high + cdef dict counts + cdef list sorted_elements, elements, short_lines + cdef bint extended_syntax + cdef int count, isotope + cdef str string, line, short_line, chemkin_name, symbol, elem_1, elem_2 + cdef object thermo_data + + thermo_data = species.get_thermo_data() + + if not isinstance(thermo_data, NASA): raise ChemkinError('Cannot generate Chemkin string for species "{0}": ' 'Thermodynamics data must be a NASA object.'.format(species)) + thermo = thermo_data assert len(thermo.polynomials) == 2 - assert thermo.polynomials[0].Tmin.value_si < thermo.polynomials[1].Tmin.value_si - assert thermo.polynomials[0].Tmax.value_si == thermo.polynomials[1].Tmin.value_si - assert thermo.polynomials[0].cm2 == 0 and thermo.polynomials[0].cm1 == 0 - assert thermo.polynomials[1].cm2 == 0 and thermo.polynomials[1].cm1 == 0 + poly_low = thermo.polynomials[0] + poly_high = thermo.polynomials[1] + assert poly_low.Tmin.value_si < poly_high.Tmin.value_si + assert poly_low.Tmax.value_si == poly_high.Tmin.value_si + assert poly_low.cm2 == 0 and poly_low.cm1 == 0 + assert poly_high.cm2 == 0 and poly_high.cm1 == 0 # Determine the number of each type of element in the molecule # Need to use the element's chemkin name, not the element symbol, because of isotopes. # so we can't just use molecule[0].get_element_count(). if element_counts is None: - element_counts = {} - for atom in species.molecule[0].atoms: - element = atom.element.chemkin_name - element_counts[element] = element_counts.get(element, 0) + 1 + counts = {} + for atom in species.molecule[0].vertices: + chemkin_name = atom.element.chemkin_name + counts[chemkin_name] = counts.get(chemkin_name, 0) + 1 + else: + counts = element_counts # Sort the element_counts dictionary so that it's C, H, Al, B, Cl, D, etc. # if there's any C, else Al, B, Cl, D, H, if not. This is the "Hill" system # done by Molecule.get_formula - if 'C' in element_counts: - sorted_elements = sorted(element_counts, key = lambda e: {'C':'0','H':'1'}.get(e, e)) + if 'C' in counts: + sorted_elements = sorted(counts, key=lambda e: {'C': '0', 'H': '1'}.get(e, e)) else: - sorted_elements = sorted(element_counts) - element_counts = {e: element_counts[e] for e in sorted_elements} + sorted_elements = sorted(counts) + counts = {e: counts[e] for e in sorted_elements} string = '' # Write thermo comments @@ -1618,9 +1632,9 @@ def write_thermo_entry(species, element_counts=None, verbose=True): string += "! {0}\n".format(line) # Compile element count string - extended_syntax = len(element_counts) > 4 # If there are more than 4 elements, use extended syntax + extended_syntax = len(counts) > 4 # If there are more than 4 elements, use extended syntax elements = [] - for key, count in element_counts.items(): + for key, count in counts.items(): if isinstance(key, tuple): symbol, isotope = key chemkin_name = get_element(symbol, isotope=isotope).chemkin_name @@ -1650,31 +1664,31 @@ def write_thermo_entry(species, element_counts=None, verbose=True): string += '{ident:<16} {elem_1:<20}G{Tmin:>10.3f}{Tint:>10.3f}{Tmax:>8.2f} 1{elem_2}\n'.format( ident=get_species_identifier(species), elem_1=elem_1, - Tmin=thermo.polynomials[0].Tmin.value_si, - Tint=thermo.polynomials[1].Tmax.value_si, - Tmax=thermo.polynomials[0].Tmax.value_si, + Tmin=poly_low.Tmin.value_si, + Tint=poly_high.Tmax.value_si, + Tmax=poly_low.Tmax.value_si, elem_2=elem_2, ) # Line 2 - string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 2\n'.format(thermo.polynomials[1].c0, - thermo.polynomials[1].c1, - thermo.polynomials[1].c2, - thermo.polynomials[1].c3, - thermo.polynomials[1].c4) + string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 2\n'.format(poly_high.c0, + poly_high.c1, + poly_high.c2, + poly_high.c3, + poly_high.c4) # Line 3 - string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 3\n'.format(thermo.polynomials[1].c5, - thermo.polynomials[1].c6, - thermo.polynomials[0].c0, - thermo.polynomials[0].c1, - thermo.polynomials[0].c2) + string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 3\n'.format(poly_high.c5, + poly_high.c6, + poly_low.c0, + poly_low.c1, + poly_low.c2) # Line 4 - string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E} 4\n'.format(thermo.polynomials[0].c3, - thermo.polynomials[0].c4, - thermo.polynomials[0].c5, - thermo.polynomials[0].c6) + string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E} 4\n'.format(poly_low.c3, + poly_low.c4, + poly_low.c5, + poly_low.c6) return string From fc1c6bbae2716810596f6a214e52e98342101d3d Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 14:34:22 -0400 Subject: [PATCH 564/700] Add unit test for warning about badly formatted THERM line --- test/rmgpy/chemkinTest.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index d2683efdaa3..138943899ba 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -166,6 +166,15 @@ def test_read_thermo_block_temperature_header_columns(self, mock_logging): for call in mock_logging.warning.call_args_list: assert "badly formatted" not in call.args[0] + @mock.patch("rmgpy.chemkin.logging") + def test_read_thermo_block_warns_for_badly_formatted_temperature_header(self, mock_logging): + header = "15000000001 9999 5000" + f = io.StringIO("THERM ALL\n" + header + "\nEND\n") + + read_thermo_block(f, species_dict={}) + + assert any("badly formatted" in call.args[0] for call in mock_logging.warning.call_args_list) + def test_read_and_write_and_read_template_reaction_family_for_minimal_example(self): """ This example tests if family and templates info can be correctly From 128a6ab252d40a58d6b1fe16e207d4226123135c Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 28 May 2026 08:32:34 -0400 Subject: [PATCH 565/700] Add unload_libraries helper function Sometimes you just want to remove a single library and it's annoying to have to instantiate an entirely new instance of a database to get the exact libraries you want. The alternative is to manually go into the database object and remove the specific library. And heaven forbid you forget that library_order is a thing and accidentally leave behind a trace of the old libraries. This function will simplify the process of loading and unloading libraries. --- rmgpy/data/thermo.py | 19 +++++++++++++++++++ test/rmgpy/data/thermoTest.py | 27 +++++++++++++++++++++++++++ 2 files changed, 46 insertions(+) diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 6f3e4d35bae..5a699ae223f 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -974,6 +974,25 @@ def load_libraries(self, path, libraries=None): raise DatabaseError('Library {} not found in {}... Please check if your library is ' 'correctly placed'.format(libraryName, path)) + def unload_libraries(self, libraries=None): + """ + Unload the libraries where `libraries` is a list of library names to unload. + If `libraries` is None, unload all libraries. + """ + if isinstance(libraries, str): + libraries = [libraries] + + if libraries is None: # unload all + self.libraries = {} + self.library_order = [] + else: + for libraryName in libraries: + if libraryName in self.libraries: + self.libraries.pop(libraryName) + self.library_order.remove(libraryName) + else: + raise DatabaseError('Library {} not found in the current database... Please check if your library name is correct'.format(libraryName)) + def load_surface(self): """ Load the metal database from the given `path` on disk, where `path` diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py index f28d73676f9..656f4b85547 100644 --- a/test/rmgpy/data/thermoTest.py +++ b/test/rmgpy/data/thermoTest.py @@ -102,6 +102,33 @@ def test_loading_external_thermo_library(self): assert list(database.libraries.keys()) == ["copied_thermo_lib"] os.remove(thermo_lib_in_test_dir_path) + def test_load_unload_libraries(self): + """This tests loading and unloading thermo libraries""" + + database = ThermoDatabase() + database.load_libraries( + path=os.path.join(settings["database.directory"], "thermo", "libraries"), + libraries=['primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC'], + ) + + # make sure we are now using primaryThermoLibrary thermo + lib_thermo = database.get_thermo_data(Species(smiles="O")) # H2O is in both libraries, first it finds it in primaryThermoLibrary + assert 'primaryThermoLibrary' in lib_thermo.comment + assert 'thermo_DFT_CCSDTF12_BAC' not in lib_thermo.comment + + # unload library + database.unload_libraries(libraries=['primaryThermoLibrary']) + lib_thermo = database.get_thermo_data(Species(smiles="O")) # now it finds it in thermo_DFT_CCSDTF12_BAC + assert 'thermo_DFT_CCSDTF12_BAC' in lib_thermo.comment + assert 'primaryThermoLibrary' not in lib_thermo.comment + + # unload the other library + database.unload_libraries(libraries='thermo_DFT_CCSDTF12_BAC') # test unloading with string instead of list + + # because this is an empty database now with no libraries or groups, this should error out + with pytest.raises(KeyError): # KeyError because no groups are loaded + database.get_thermo_data(Species(smiles="O")) + class TestThermoDatabase: """ From 7b007860d7628e906e3831baf0f0f64d424a924c Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 11 May 2026 16:52:53 -0400 Subject: [PATCH 566/700] Fix to_cantera() to use equation string, avoiding Cantera third-body misidentification MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Cantera's Python API, when constructing ct.Reaction from reactants/products dicts, silently re-interprets any species with net-zero stoichiometry (equal count on both sides — a spectator or surface catalyst) as a third-body collider. This mutates input_data: the equation string has the spectator's stoichiometry doubled and a spurious 'efficiencies' entry is added. The corrupted YAML cannot be round-tripped. This affects all rate types (ArrheniusRate, InterfaceArrheniusRate, StickingArrheniusRate, PlogRate, ChebyshevRate) and is reproducible on Cantera 3.1.0 and 3.2.0. A bug report has been filed with the Cantera project. Fix: replace the reactants/products dict form of ct.Reaction with the equation-string form for all non-third-body reaction types. Passing an equation string avoids the misidentification entirely. ThirdBody, Troe, and Lindemann reactions are left using the dict form because they require the third_body= keyword parameter, and their species do not appear on both sides so the bug does not affect them. A nested helper _ct_equation() is added inside to_cantera() to build the equation string from the already-computed ct_reactants / ct_products dicts. Also adds a regression test (test_reaction_to_dicts_surface_spectator_species) that verifies no 'efficiencies' key and no doubled stoichiometry appear for a SurfaceArrhenius reaction where the same surface species appears on both sides. Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/reaction.py | 43 +++++++++++++++++++++------------ test/rmgpy/yaml_cantera1Test.py | 40 ++++++++++++++++++++++++++++++ 2 files changed, 67 insertions(+), 16 deletions(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 63e1d278f1d..229545f3c91 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -322,29 +322,48 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False): if not self.kinetics: raise Exception('Cantera reaction cannot be created because there was no kinetics.') + # Build an equation string from the stoichiometry dicts. + # Passing equation= to ct.Reaction avoids a Cantera API bug where any + # species present in both reactants and products dicts is misidentified + # as a third-body collider, corrupting input_data with spurious + # 'efficiencies' and doubled stoichiometry in the equation string. + # Third-body reaction types (ThirdBody/Troe/Lindemann) are exempt: they + # require the third_body= keyword and their species do not appear on + # both sides, so the bug does not affect them. + def _ct_equation(reactants, products, reversible): + def fmt(d): + return " + ".join( + f"{stoich} {name}" if stoich > 1 else name + for name, stoich in d.items() + ) + arrow = " <=> " if reversible else " => " + return fmt(reactants) + arrow + fmt(products) + + ct_equation = _ct_equation(ct_reactants, ct_products, self.reversible) + # Create the Cantera reaction object, # with the correct type of kinetics object # but don't actually set its kinetics (we do that at the end) if isinstance(self.kinetics, Arrhenius): # Create an Elementary Reaction if isinstance(self.kinetics, SurfaceArrhenius): # SurfaceArrhenius inherits from Arrhenius - ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.InterfaceArrheniusRate()) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.InterfaceArrheniusRate()) else: - ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ArrheniusRate()) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.ArrheniusRate()) elif isinstance(self.kinetics, MultiArrhenius): # Return a list of elementary reactions which are duplicates - ct_reaction = [ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ArrheniusRate()) + ct_reaction = [ct.Reaction(equation=ct_equation, rate=ct.ArrheniusRate()) for arr in self.kinetics.arrhenius] elif isinstance(self.kinetics, PDepArrhenius): - ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.PlogRate()) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.PlogRate()) elif isinstance(self.kinetics, MultiPDepArrhenius): - ct_reaction = [ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.PlogRate()) + ct_reaction = [ct.Reaction(equation=ct_equation, rate=ct.PlogRate()) for arr in self.kinetics.arrhenius] elif isinstance(self.kinetics, Chebyshev): - ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ChebyshevRate()) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.ChebyshevRate()) elif isinstance(self.kinetics, ThirdBody): if ct_collider: @@ -393,18 +412,10 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False): ) elif isinstance(self.kinetics, SurfaceArrhenius): - ct_reaction = ct.Reaction( - reactants=ct_reactants, - products=ct_products, - rate=ct.InterfaceArrheniusRate() - ) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.InterfaceArrheniusRate()) elif isinstance(self.kinetics, StickingCoefficient): - ct_reaction = ct.Reaction( - reactants=ct_reactants, - products=ct_products, - rate=ct.StickingArrheniusRate() - ) + ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.StickingArrheniusRate()) else: raise NotImplementedError(f"Unable to set cantera kinetics for {self.kinetics}") diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 06ea5397e9c..6d6cb4ec600 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -294,6 +294,46 @@ def test_reaction_to_dicts_coverage_dependence(self): # 5 kJ/mol = 5000 J/mol → ×1000 → 5 000 000 J/kmol assert np.isclose(cov["E"], 5e6) + def test_reaction_to_dicts_surface_spectator_species(self): + """SurfaceArrhenius with a spectator species on both sides must not produce efficiencies. + + Cantera's Python API misidentifies a species with equal stoichiometry on + both sides (a net spectator / surface catalyst) as a third-body collider, + causing input_data to include a spurious 'efficiencies' entry and doubled + stoichiometry in the equation string. reaction_to_dicts must detect and + fix this. + """ + # Build a second surface species to act as spectator (adsorbed oxygen) + ox = _make_surface_species( + "O_X", + "1 O u0 p2 c0 {2,D}\n2 X u0 p0 c0 {1,D}", + index=6, + ) + # H_X(5) + O_X(6) <=> X(4) + O_X(6) — O_X is spectator on both sides + kin = SurfaceArrhenius( + A=(4.18e20, "m^2/(mol*s)"), n=0.0, Ea=(148.7, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[self.hx, ox], + products=[self.x, ox], + kinetics=kin, + ) + species_list = self.all_surface + [ox] + entries = reaction_to_dicts(rxn, species_list) + d = entries[0] + assert "efficiencies" not in d, ( + "Spurious 'efficiencies' must not appear for a SurfaceArrhenius reaction " + "even when a species appears on both sides." + ) + eq = d["equation"] + # O_X(6) should appear exactly once on each side, not doubled + assert eq.count("O_X(6)") == 2, ( + f"Spectator O_X should appear once per side in: {eq}" + ) + assert "2 O_X" not in eq, ( + f"Spectator stoichiometry should not be doubled in: {eq}" + ) + class TestCanteraWriter1: """Tests for the CanteraWriter1 class.""" From 6aef02462050c7c297676eaeff4d0da469f1480f Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 18:16:23 -0400 Subject: [PATCH 567/700] [yaml_cantera2] Use full elements list, like in antera1 method defines base elements from existing list, but also includes custom elements and surface site as done in cantera1 method --- rmgpy/yaml_cantera2.py | 25 +++++++++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index b5fd10500f7..0c87d15cdb2 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -201,6 +201,25 @@ def save_cantera_model(model_container, path, site_density=None, verbose=False): # sort_keys=False ensures 'units' comes first, then 'phases', etc. yaml.dump(yaml_data, f, Dumper=Dumper, sort_keys=False, default_flow_style=None) +def get_elements_lists(): + """ + Returns custom element definitions and the full elements list for phases. + """ + from rmgpy.molecule.element import get_element + elements_list = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', + 'F', 'Cl', 'Br', 'I', 'E'] + isotopes = (('H', 2), ('H', 3), ('C', 13), ('O', 18)) + custom_elements = [] + for symbol, isotope in isotopes: + element = get_element(symbol, isotope=isotope) + chemkin_name = element.chemkin_name + mass = 1000 * element.mass + custom_elements.append({'symbol': chemkin_name, 'atomic-weight': mass}) + elements_list.append(chemkin_name) + # Surface sites + elements_list.append('X') + custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083}) + return custom_elements, elements_list def generate_cantera_data(species_list, reaction_list, @@ -253,8 +272,10 @@ def generate_cantera_data(species_list, gas_reactions.append(rxn) # --- 3. Phase Definitions --- - base_elements = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', 'F', 'Cl', 'Br', 'I', 'E'] - elements_set = set(base_elements) + custom_elements, all_elements = get_elements_lists() + + data['elements'] = custom_elements + elements_set = set(all_elements) if search_for_additional_elements: for spc in sorted_species: From 18f1772808da30ab0820aacff72707d35c256519 Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 20:44:47 -0400 Subject: [PATCH 568/700] counts surface sites and assigns the corresponding field --- rmgpy/yaml_cantera2.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 0c87d15cdb2..06eec271dca 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -408,6 +408,10 @@ def species_to_dict(species, species_list, verbose=False): }, } + if species.contains_surface_site(): + num_sites = sum(1 for atom in mol.atoms if atom.symbol == 'X') + species_entry['sites'] = num_sites + # Transport (if available) - Only relevant for gas phase usually if species.transport_data and not species.contains_surface_site(): td = species.transport_data From ea2f2be983288a218a6c2bfaf31e9907f58c682d Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 12 May 2026 13:46:26 -0400 Subject: [PATCH 569/700] use mol.number_of_surface_sites() instead of inline X-atom count Replaces the ad-hoc sum over atoms with the existing Molecule API method, and only emits the 'sites' field when a species occupies more than one site (monodentate adsorbates with sites=1 don't need the field). Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/yaml_cantera2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 06eec271dca..cac4d32da9c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -408,8 +408,8 @@ def species_to_dict(species, species_list, verbose=False): }, } - if species.contains_surface_site(): - num_sites = sum(1 for atom in mol.atoms if atom.symbol == 'X') + num_sites = mol.number_of_surface_sites() + if num_sites > 1: species_entry['sites'] = num_sites # Transport (if available) - Only relevant for gas phase usually From f5c702d15f038bb8c63190724ef6c05fe5cfdb92 Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 20:46:05 -0400 Subject: [PATCH 570/700] adds transport note to each species, not just in annotated yaml to match ck2yaml --- rmgpy/yaml_cantera1.py | 13 ++++++------- rmgpy/yaml_cantera2.py | 2 +- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index db2928b0c94..3c29a95e004 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -394,13 +394,12 @@ def species_to_dict(species, all_species=None, verbose=False): cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species) species_data = cantera_species.input_data - if verbose: - try: - transport_comment = species.transport_data.comment - if transport_comment: - species_data["transport"]["note"] = transport_comment - except AttributeError: - pass + try: + transport_comment = species.transport_data.comment + if transport_comment: + species_data["transport"]["note"] = transport_comment + except AttributeError: + pass if "size" in species_data: sites = species_data["size"] diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index cac4d32da9c..49820010ef0 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -428,7 +428,7 @@ def species_to_dict(species, species_list, verbose=False): transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: transport_dict['rotational-relaxation'] = td.rotrelaxcollnum - if verbose and td.comment: + if td.comment: transport_dict['note'] = td.comment.strip() species_entry['transport'] = transport_dict From 7a1074fba069772c8b192df489f5c096502a2ef1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 12 May 2026 13:54:59 -0400 Subject: [PATCH 571/700] Restore verbose gate on transport notes; strip them from ck2yaml non-annotated file The way things are set up currently, transport notes belong in annotated output only. The previous commit removed the verbose guards, to match the ck2yaml version. Yes, we want them consistent, but for now make it so the non-annotated yaml files have no comments/notes, in any version. Instead: restore if-verbose gating in both yaml_cantera1 and yaml_cantera2, and strip transport notes from cantera_from_ck/chem.yaml after ck2yaml generates it when verbose_comments is False, so all three non-annotated files are consistent. To remove them from the ck2yaml-generated file, we can use a regex to remove 'note:' lines and their indented continuations . Avoieds yaml.safe_load + yaml.dump (which reformats the whole file) Co-Authored-By: Claude Sonnet 4.6 --- rmgpy/rmg/main.py | 10 ++++++++++ rmgpy/yaml_cantera1.py | 13 +++++++------ rmgpy/yaml_cantera2.py | 2 +- 3 files changed, 18 insertions(+), 7 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index de65508cd1a..a9539d5da5c 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1346,6 +1346,16 @@ def execute(self, initialize=True, **kwargs): if os.path.exists(annotated): self.generate_cantera_files_from_chemkin(annotated) + # Strip transport notes from the non-annotated ck2yaml file to match the non-verbose RMG writers + ck_chem_yaml = os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml") + if os.path.exists(ck_chem_yaml): + with open(ck_chem_yaml) as f: + ck_text = f.read() + # Remove 'note:' lines and their indented continuations (multi-line values are more-indented) + ck_text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', ck_text, flags=re.MULTILINE) + with open(ck_chem_yaml, "w") as f: + f.write(ck_text) + # Compare translated Cantera files against directly generated Cantera files if translated_cantera_file and self.cantera1_writer_config and self.cantera1_writer_config.enabled: compare_yaml_files_and_report(translated_cantera_file, diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 3c29a95e004..db2928b0c94 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -394,12 +394,13 @@ def species_to_dict(species, all_species=None, verbose=False): cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species) species_data = cantera_species.input_data - try: - transport_comment = species.transport_data.comment - if transport_comment: - species_data["transport"]["note"] = transport_comment - except AttributeError: - pass + if verbose: + try: + transport_comment = species.transport_data.comment + if transport_comment: + species_data["transport"]["note"] = transport_comment + except AttributeError: + pass if "size" in species_data: sites = species_data["size"] diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 49820010ef0..cac4d32da9c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -428,7 +428,7 @@ def species_to_dict(species, species_list, verbose=False): transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: transport_dict['rotational-relaxation'] = td.rotrelaxcollnum - if td.comment: + if verbose and td.comment: transport_dict['note'] = td.comment.strip() species_entry['transport'] = transport_dict From 6c7f2d8aaa3acffe6270329a64c2dbb87cc2d2f4 Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 20:47:31 -0400 Subject: [PATCH 572/700] separates gas reactions and surface reactions to match ck2yaml --- rmgpy/yaml_cantera2.py | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index cac4d32da9c..55729ff2f2b 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -296,9 +296,10 @@ def generate_cantera_data(species_list, 'elements': sorted(list(elements_set)), 'species': [get_label(spc, species_list) for spc in gas_species], 'kinetics': 'gas', - 'reactions': 'declared-species', } + if surface_species: + gas_phase_def['reactions'] = ['gas-reactions'] if is_plasma: gas_phase_def['transport'] = 'ionized-gas' # Plasma specific defaults @@ -327,8 +328,8 @@ def generate_cantera_data(species_list, 'elements': sorted(list(elements_set)), 'species': [get_label(sp, species_list) for sp in surface_species], 'kinetics': 'surface', - 'reactions': 'declared-species', - 'site-density': site_density or default_site_density + 'reactions': ['surface-reactions'], + 'site-density': site_density or default_site_density, } if has_coverage_dependence: surface_phase_def['reference-state-coverage'] = 0.11 @@ -341,16 +342,25 @@ def generate_cantera_data(species_list, species_data.append(species_to_dict(sp, species_list, verbose=verbose)) data['species'] = species_data - reaction_data = list() + # Build separate reaction lists for each phase if there are two phases + gas_reaction_data = list() for rxn in gas_reactions: entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) if entries: - reaction_data.extend(entries) - for rxn in surface_reactions: - entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) - if entries: - reaction_data.extend(entries) - data['reactions'] = reaction_data + gas_reaction_data.extend(entries) + + if surface_species: + data['gas-reactions'] = gas_reaction_data + else: + data['reactions'] = gas_reaction_data + + if surface_reactions: + surface_reaction_data = list() + for rxn in surface_reactions: + entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) + if entries: + surface_reaction_data.extend(entries) + data['surface-reactions'] = surface_reaction_data return data From b631993c50f56ad1a52252d85325ae5229d0795d Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 20:36:24 -0400 Subject: [PATCH 573/700] adds 'state' to gas and surface phases to match ck2yaml --- rmgpy/yaml_cantera1.py | 1 + rmgpy/yaml_cantera2.py | 2 ++ 2 files changed, 3 insertions(+) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index db2928b0c94..6d542643f58 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -265,6 +265,7 @@ def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence= kinetics: surface reactions: [site0-reactions] site-density: {surface_site_density * 1e-4 } + state: {{T: 300.0, P: 1 atm}} """ # surface_site_density * 1e-4 #in units of mol/cm^2 diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 55729ff2f2b..031d3870119 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -311,6 +311,7 @@ def generate_cantera_data(species_list, else: gas_phase_def['transport'] = 'mixture-averaged' + gas_phase_def['state'] = {'T': 300.0, 'P': '1 atm'} phases.append(gas_phase_def) if surface_species: @@ -330,6 +331,7 @@ def generate_cantera_data(species_list, 'kinetics': 'surface', 'reactions': ['surface-reactions'], 'site-density': site_density or default_site_density, + 'state': {'T': 300.0, 'P': '1 atm'}, } if has_coverage_dependence: surface_phase_def['reference-state-coverage'] = 0.11 From 95034c3fdea8751620fc905ada0b84c92ad7d602 Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Mon, 11 May 2026 20:54:57 -0400 Subject: [PATCH 574/700] tests for entries and fields that are expected from ck2yaml and compares cantera2 writer to ck2yaml as is done for cantera1 --- test/rmgpy/yaml_cantera1Test.py | 97 +++++++++++ test/rmgpy/yaml_cantera2Test.py | 290 +++++++++++++++++++++++++++++++- 2 files changed, 386 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 6d6cb4ec600..0835f3e448f 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -52,6 +52,11 @@ CanteraWriter1, species_to_dict, reaction_to_dicts, + get_elements_block, + get_phases_gas_only, + get_phases_with_surface, + get_mech_dict_nonsurface, + get_mech_dict_surface, ) @@ -334,6 +339,98 @@ def test_reaction_to_dicts_surface_spectator_species(self): f"Spectator stoichiometry should not be doubled in: {eq}" ) + def test_get_elements_block_isotopes_and_surface_site(self): + """get_elements_block returns isotope definitions and X with correct weights.""" + elements_block, elements_line = get_elements_block() + + # elements_line should list X + assert 'X' in elements_line + + # elements_block should contain isotope symbols and X + assert 'D' in elements_block # H-2 + assert 'T' in elements_block # H-3 + assert 'X' in elements_block + assert '195.083' in elements_block # X atomic weight + + def test_get_phases_gas_only_has_state(self): + """Gas-only phases block includes state with T and P.""" + phases_block = get_phases_gas_only([self.h2, self.h]) + assert 'state:' in phases_block + assert 'T: 300.0' in phases_block + assert 'P: 1 atm' in phases_block + + def test_get_phases_gas_only_has_elements(self): + """Gas-only phases block includes elements line.""" + phases_block = get_phases_gas_only([self.h2]) + assert 'elements:' in phases_block + + def test_get_mech_dict_nonsurface_reactions_key(self): + """Gas-only mech dict uses 'reactions' key.""" + rxn = Reaction( + reactants=[self.h2], products=[self.h, self.h], + kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K")) + ) + result = get_mech_dict_nonsurface([self.h2, self.h], [rxn]) + assert 'species' in result + assert 'reactions' in result + assert len(result['reactions']) == 1 + + def test_get_mech_dict_surface_has_gas_and_surface_reactions(self): + """Surface mech dict separates gas-reactions and site0-reactions.""" + kin = SurfaceArrhenius( + A=(1e13, "m^2/(mol*s)"), n=0, Ea=(50, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction(reactants=[self.h2, self.x], products=[self.hx, self.hx], kinetics=kin) + result = get_mech_dict_surface( + [self.h2, self.x, self.hx], [rxn] + ) + assert 'species' in result + assert 'gas-reactions' in result + assert 'site0-reactions' in result + assert len(result['site0-reactions']) == 1 + + def test_get_phases_with_surface_has_state(self): + """Surface phases block includes state for both gas and surface phases.""" + phases_block = get_phases_with_surface( + [self.h2, self.x, self.hx], + surface_site_density=2.5e-9, # mol/cm^2-equivalent SI + ) + # Should have two phase definitions each with state + assert phases_block.count('state:') == 2 + assert 'T: 300.0' in phases_block + assert 'P: 1 atm' in phases_block + + def test_species_to_dict_surface_sites_count(self): + """species_to_dict reports correct 'sites' count for multi-site surface species.""" + # Bidentate glyoxal adsorbed via C and O (2 X atoms) + glyoxal_xx = _make_surface_species( + "glyoxalXX", + "1 O u0 p2 c0 {3,S} {8,S}\n" + "2 O u0 p2 c0 {4,D}\n" + "3 C u0 p0 c0 {1,S} {4,S} {5,S} {7,S}\n" + "4 C u0 p0 c0 {2,D} {3,S} {6,S}\n" + "5 H u0 p0 c0 {3,S}\n" + "6 H u0 p0 c0 {4,S}\n" + "7 X u0 p0 c0 {3,S}\n" + "8 X u0 p0 c0 {1,S}", + index=215, + ) + d2 = species_to_dict(glyoxal_xx) + assert 'sites' in d2 + assert d2['sites'] == 2 + + def test_species_to_dict_gas_no_sites_field(self): + """Gas species must not have a 'sites' field.""" + d = species_to_dict(self.h2) + assert 'sites' not in d + + def test_species_to_dict_transport_note_without_verbose(self): + """Transport 'note' is written even when verbose=False.""" + self.h2.transport_data.comment = "from GRI-Mech" + d = species_to_dict(self.h2, verbose=False) + assert 'note' in d['transport'] + assert d['transport']['note'] == "from GRI-Mech" + class TestCanteraWriter1: """Tests for the CanteraWriter1 class.""" diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index f4d588a4869..ff7ef2e0230 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -29,10 +29,12 @@ import cantera as ct +import copy import os import shutil import numpy as np import pytest +import yaml from rmgpy.species import Species from rmgpy.reaction import Reaction @@ -53,7 +55,8 @@ save_cantera_files, species_to_dict, reaction_to_dict_list, - generate_cantera_data + generate_cantera_data, + get_elements_lists, ) @@ -541,3 +544,288 @@ def test_reaction_to_dict_thirdbody_unit(self): assert "rate-constant" in d assert "efficiencies" in d assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7) + + def test_get_elements_block_isotopes_and_surface_site(self): + """get_elements_lists returns isotope definitions and X with correct weights.""" + custom_elements, elements_list = get_elements_lists() + + assert 'X' in elements_list + x_entry = next((e for e in custom_elements if e['symbol'] == 'X'), None) + assert x_entry is not None + assert np.isclose(x_entry['atomic-weight'], 195.083) + + symbols = [e['symbol'] for e in custom_elements] + assert 'D' in symbols # H-2 + assert 'T' in symbols # H-3 + for entry in custom_elements: + assert entry['atomic-weight'] > 0 + + def test_generate_cantera_data_elements_block(self): + """generate_cantera_data includes top-level 'elements' key with custom definitions.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + data = generate_cantera_data([h2], []) + + assert 'elements' in data + custom_elements = data['elements'] + assert isinstance(custom_elements, list) + assert len(custom_elements) > 0 + symbols = [e['symbol'] for e in custom_elements] + assert 'X' in symbols + + def test_generate_cantera_data_gas_phase_state(self): + """Gas phase definition includes a 'state' block with T and P.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + data = generate_cantera_data([h2], []) + + gas_phase = data['phases'][0] + assert 'state' in gas_phase + assert np.isclose(gas_phase['state']['T'], 300.0) + assert gas_phase['state']['P'] == '1 atm' + + def test_generate_cantera_data_gas_reactions_key(self): + """Gas-only model uses top-level 'reactions' key (matching ck2yaml).""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + h = self._create_dummy_species("H", "[H]", index=2) + rxn = Reaction( + reactants=[h2], products=[h, h], + kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K")) + ) + data = generate_cantera_data([h2, h], [rxn]) + + gas_phase = data['phases'][0] + assert 'reactions' not in gas_phase, "Gas-only phase should not reference reactions" + assert 'reactions' in data + assert len(data['reactions']) == 1 + assert 'gas-reactions' not in data + + def test_generate_cantera_data_surface_phase_state_and_reactions_key(self): + """Surface phase has 'state' and references 'surface-reactions'; data has that key.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + x = self._create_surface_species("X", "1 X u0 p0", index=2) + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3 + ) + kin = SurfaceArrhenius( + A=(1e13, "m^2/(mol*s)"), n=0, Ea=(50, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction(reactants=[h2, x], products=[hx, hx], kinetics=kin) + data = generate_cantera_data([h2, x, hx], [rxn]) + + surface_phase = next(p for p in data['phases'] if p['name'] == 'surface') + assert 'state' in surface_phase + assert np.isclose(surface_phase['state']['T'], 300.0) + assert surface_phase['reactions'] == ['surface-reactions'] + assert 'surface-reactions' in data + assert len(data['surface-reactions']) == 1 + + def test_species_to_dict_surface_sites_count(self): + """species_to_dict reports correct 'sites' count for surface species.""" + # Single-site species + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=11 + ) + d = species_to_dict(hx, [hx]) + assert 'sites' in d + assert d['sites'] == 1 + + # Bidentate glyoxal adsorbed via C and O (2 X atoms) + glyoxal_xx = self._create_surface_species( + "glyoxalXX", + "1 O u0 p2 c0 {3,S} {8,S}\n" + "2 O u0 p2 c0 {4,D}\n" + "3 C u0 p0 c0 {1,S} {4,S} {5,S} {7,S}\n" + "4 C u0 p0 c0 {2,D} {3,S} {6,S}\n" + "5 H u0 p0 c0 {3,S}\n" + "6 H u0 p0 c0 {4,S}\n" + "7 X u0 p0 c0 {3,S}\n" + "8 X u0 p0 c0 {1,S}", + index=215, + ) + d2 = species_to_dict(glyoxal_xx, [glyoxal_xx]) + assert 'sites' in d2 + assert d2['sites'] == 2 + + def test_species_to_dict_gas_no_sites_field(self): + """Gas species must not have a 'sites' field.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + d = species_to_dict(h2, [h2]) + assert 'sites' not in d + + def test_species_to_dict_transport_note_without_verbose(self): + """Transport 'note' is written even when verbose=False.""" + sp = self._create_dummy_species("H2", "[H][H]", index=1) + sp.transport_data.comment = "from GRI-Mech" + d = species_to_dict(sp, [sp], verbose=False) + assert 'note' in d['transport'] + assert d['transport']['note'] == "from GRI-Mech" + + +class CanteraYamlFileComparer: + """ + For comparing two Cantera YAML files. + This class provides methods to compare species and reactions between the two files. + + Args: + yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml. + yaml_path_2: Path to the second YAML file, written directly by RMG. + """ + yaml_path_1 = None + yaml_path_2 = None + + @pytest.fixture(autouse=True, scope="class") # loaded once per Class + def load_yaml_files(self, request): + """Load the two YAML files to be compared.""" + with open(request.cls.yaml_path_1, 'r') as file: + request.cls.yaml1 = yaml.safe_load(file) + with open(request.cls.yaml_path_2, 'r') as file: + request.cls.yaml2 = yaml.safe_load(file) + + @pytest.fixture(autouse=True) # runs before each test method + def copy_yaml_dicts(self): + """Make deep copies so tests can modify without affecting other tests.""" + self.yaml1 = copy.deepcopy(self.__class__.yaml1) + self.yaml2 = copy.deepcopy(self.__class__.yaml2) + + def testGeneratorsAsExpected(self): + "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." + assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." + assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG." + + def testKeysMatch(self): + """Test that the top-level keys in both YAML files match, except those expected not to.""" + # Remove keys unique to each generator + self.yaml1.pop('input-files', None) + self.yaml1.pop('cantera-version', None) + self.yaml1.pop('date', None) + self.yaml2.pop('cantera-version', None) + self.yaml2.pop('description', None) + for model in [self.yaml1, self.yaml2]: + for phase in model['phases']: + for reactions_block in phase.get('reactions', []): + assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." + model.pop(reactions_block, None) + assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." + + def testPhasesMatch(self): + """Test that the phase definitions in both YAML files match.""" + assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases" + + for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): + assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." + assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." + assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match." + assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match." + assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match." + assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." + # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). + assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." + assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." + + def testElementsMatch(self): + """Test that the element definitions in both YAML files match.""" + ck2yaml_elements = sorted(self.yaml1['elements'], key=lambda e: e['symbol']) + # Put symbol into Titlecase to match ck2yaml's formatting + rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2['elements']] + rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) + # Compare symbols exactly, and atomic weights approximately + assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ + "YAML files have different element symbols." + assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx( + [e['atomic-weight'] for e in rmg_elements], abs=1e-3 + ), "YAML files have different element atomic weights." + + def testSpeciesMatch(self): + """Test that species definitions match between the two YAML files.""" + species1 = {s['name']: s for s in self.yaml1['species']} + species2 = {s['name']: s for s in self.yaml2['species']} + assert species1.keys() == species2.keys(), "Species names do not match." + + for name in species1: + s1 = species1[name] + s2 = species2[name] + + # Composition: ck2yaml uses int values, RMG uses float + assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \ + f"Composition mismatch for {name}." + + # Thermo model + assert s1['thermo']['model'] == s2['thermo']['model'], \ + f"Thermo model mismatch for {name}." + + # Temperature ranges and polynomial data + t_ranges1 = s1['thermo'].get('temperature-ranges', []) + t_ranges2 = s2['thermo'].get('temperature-ranges', []) + data1 = s1['thermo'].get('data', []) + data2 = s2['thermo'].get('data', []) + + if len(t_ranges1) == 2 and len(t_ranges2) == 3: + # ck2yaml collapsed to single polynomial; RMG has two identical ones + assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \ + f"Temperature range lower bound mismatch for {name}." + assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \ + f"Temperature range upper bound mismatch for {name}." + assert len(data1) == 1 and len(data2) == 2, \ + f"Expected 1 vs 2 polynomials for collapsed species {name}." + assert data1[0] == pytest.approx(data2[0], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (low range)." + assert data1[0] == pytest.approx(data2[1], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (high range should match low)." + else: + assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \ + f"Temperature ranges mismatch for {name}." + assert len(data1) == len(data2), \ + f"Number of thermo polynomial ranges differs for {name}." + for i, (poly1, poly2) in enumerate(zip(data1, data2)): + assert poly1 == pytest.approx(poly2, rel=1e-4), \ + f"Thermo polynomial {i} mismatch for {name}." + + # Transport data + assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}." + if 'transport' in s1 and 'transport' in s2: + t1 = s1['transport'] + t2 = s2['transport'] + assert t1['model'] == t2['model'], f"Transport model mismatch for {name}." + assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}." + assert t1.get('well-depth', 0) == pytest.approx( + t2.get('well-depth', 0), rel=1e-3 + ), f"Transport well-depth mismatch for {name}." + assert t1.get('diameter', 0) == pytest.approx( + t2.get('diameter', 0), rel=1e-3 + ), f"Transport diameter mismatch for {name}." + assert t1.get('polarizability', 0) == pytest.approx( + t2.get('polarizability', 0), rel=1e-3 + ), f"Transport polarizability mismatch for {name}." + assert t1.get('dipole', 0) == pytest.approx( + t2.get('dipole', 0), rel=1e-3 + ), f"Transport dipole mismatch for {name}." + assert t1.get('rotational-relaxation', 0) == pytest.approx( + t2.get('rotational-relaxation', 0), rel=1e-3 + ), f"Transport rotational-relaxation mismatch for {name}." + assert t1.get('note', '') == t2.get('note', ''), \ + f"Transport note mismatch for {name}." + + +class TestRecentlyGeneratedCanteraYaml2GasOnly(CanteraYamlFileComparer): + """Tests for comparing recently generated Cantera YAML files from cantera2, gas-only mechanism. + + These are generated on the fly in the mainTest.py functional test and stored in the testing data directory. + """ + test_data_folder = 'test/rmgpy/test_data/yaml_writer_data/' + + @pytest.fixture(autouse=True, scope="class") + def find_recent_files(self, request): + """Find the YAML files generated by mainTest.""" + cantera_dir = os.path.join(self.test_data_folder, 'cantera2') + chemkin_dir = os.path.join(self.test_data_folder, 'ck2yaml') + + if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): + pytest.skip("YAML test data directories not found. Run mainTest first.") + + cantera_file = os.path.join(cantera_dir, 'from_main_test.yaml') + chemkin_file = os.path.join(chemkin_dir, 'from_main_test.yaml') + + if not os.path.exists(cantera_file) or not os.path.exists(chemkin_file): + pytest.skip("from_main_test.yaml files not found. Run mainTest first.") + + request.cls.yaml_path_1 = chemkin_file + request.cls.yaml_path_2 = cantera_file \ No newline at end of file From 8d0ea1da661bad639e697b1b6746a1c17ff6f537 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 13 May 2026 09:12:37 -0400 Subject: [PATCH 575/700] fix tests to match actual verbose-gated transport note and sites>1 behaviour Two tests were written against the original (ungated) transport note behaviour and against sites=1 being emitted for monodentate species: - Rename and invert the transport note tests: note must be absent when verbose=False and present when verbose=True. - Single-site surface species should have no 'sites' key (Cantera defaults to 1); only bidentate+ species emit the field. Co-Authored-By: Claude Sonnet 4.6 --- test/rmgpy/yaml_cantera1Test.py | 9 +++++---- test/rmgpy/yaml_cantera2Test.py | 16 ++++++++-------- 2 files changed, 13 insertions(+), 12 deletions(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 0835f3e448f..d1dece6c739 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -424,12 +424,13 @@ def test_species_to_dict_gas_no_sites_field(self): d = species_to_dict(self.h2) assert 'sites' not in d - def test_species_to_dict_transport_note_without_verbose(self): - """Transport 'note' is written even when verbose=False.""" + def test_species_to_dict_transport_note_gated_by_verbose(self): + """Transport 'note' is only written when verbose=True.""" self.h2.transport_data.comment = "from GRI-Mech" d = species_to_dict(self.h2, verbose=False) - assert 'note' in d['transport'] - assert d['transport']['note'] == "from GRI-Mech" + assert 'note' not in d.get('transport', {}) + d_verbose = species_to_dict(self.h2, verbose=True) + assert d_verbose['transport']['note'] == "from GRI-Mech" class TestCanteraWriter1: diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index ff7ef2e0230..bed7f33f2f4 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -619,14 +619,13 @@ def test_generate_cantera_data_surface_phase_state_and_reactions_key(self): assert len(data['surface-reactions']) == 1 def test_species_to_dict_surface_sites_count(self): - """species_to_dict reports correct 'sites' count for surface species.""" - # Single-site species + """species_to_dict reports 'sites' only for multi-site (bidentate+) surface species.""" + # Single-site species: 'sites' key is omitted (Cantera defaults to 1) hx = self._create_surface_species( "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=11 ) d = species_to_dict(hx, [hx]) - assert 'sites' in d - assert d['sites'] == 1 + assert 'sites' not in d # Bidentate glyoxal adsorbed via C and O (2 X atoms) glyoxal_xx = self._create_surface_species( @@ -651,13 +650,14 @@ def test_species_to_dict_gas_no_sites_field(self): d = species_to_dict(h2, [h2]) assert 'sites' not in d - def test_species_to_dict_transport_note_without_verbose(self): - """Transport 'note' is written even when verbose=False.""" + def test_species_to_dict_transport_note_gated_by_verbose(self): + """Transport 'note' is only written when verbose=True.""" sp = self._create_dummy_species("H2", "[H][H]", index=1) sp.transport_data.comment = "from GRI-Mech" d = species_to_dict(sp, [sp], verbose=False) - assert 'note' in d['transport'] - assert d['transport']['note'] == "from GRI-Mech" + assert 'note' not in d['transport'] + d_verbose = species_to_dict(sp, [sp], verbose=True) + assert d_verbose['transport']['note'] == "from GRI-Mech" class CanteraYamlFileComparer: From 3216fa7d2d421aad32b4b8dd7e0e3557dbb5e4e6 Mon Sep 17 00:00:00 2001 From: Danielle Lucey Date: Tue, 12 May 2026 01:02:21 -0400 Subject: [PATCH 576/700] yaml_fix generated recent files for comparison mainTest --- .../cantera1/from_main_test.yaml | 363 +++++++++--------- .../cantera2/from_main_test.yaml | 344 +++++++++-------- .../ck2yaml/from_main_test.yaml | 310 +++++++-------- 3 files changed, 509 insertions(+), 508 deletions(-) diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml index 58ec229ab9d..a77715a5985 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml @@ -1,5 +1,5 @@ -generator: "RMG-Py CanteraWriter1 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 1568184)" -date: Sun, 03 May 2026 22:13:40 +generator: "RMG-Py CanteraWriter1 at /Users/daniellelucey/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 063b6b0)" +date: Mon, 11 May 2026 23:59:04 units: {length: m, time: s, quantity: kmol, activation-energy: J/kmol} @@ -31,12 +31,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 954.5110936886715, 5000.0] + temperature-ranges: [100.0, 954.5165316630638, 5000.0] data: - - [3.780345805837327, -0.0032427616688195738, 5.5238540835961135e-05, -6.385877469439608e-08, - 2.28639998353842e-11, -11620.34135275107, 5.210297172176226] - - [4.589795312018622, 0.014150836627966965, -4.7596579825052244e-06, 8.603029496983977e-10, - -6.217238823881424e-14, -12721.75068161533, -3.6171891868496764] + - [3.7803274333291164, -0.003242536810039668, 5.523771743952032e-05, -6.385765657832756e-08, + 2.286350154835937e-11, -11620.34056878642, 5.2103625138745535] + - [4.589857356655155, 0.01415072957994417, -4.759595608783751e-06, 8.602881051327119e-10, + -6.21711500823632e-14, -12721.776270468992, -3.617537540469888] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, rotational-relaxation: 1.5, note: GRI-Mech} @@ -45,12 +45,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 29230.244128550923, 5.12616427269486] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 29230.244133471373, 5.126164313272914] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 29230.24412855015, 5.126164272659162] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 29230.243847087564, 5.126162159943312] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129, note: GRI-Mech} @@ -59,12 +59,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1959.0734570532368, 5000.0] + temperature-ranges: [100.0, 1959.0704060489752, 5000.0] data: - - [3.4353640322436836, 0.000212711088867548, -2.786267109928371e-07, 3.4026847506425956e-10, - -7.76035238245164e-14, -1031.3598354840772, -3.9084169952050014] - - [2.7881746899044373, 0.0005876294327569003, 1.5901580485407815e-07, -5.527498406457646e-11, - 4.343188667565404e-15, -596.1494960879099, 0.11268014479418695] + - [3.4353639487680128, 0.0002127118156028557, -2.7862835897145624e-07, 3.402697677898988e-10, + -7.760384389606823e-14, -1031.3598307378923, -3.9084166738022317] + - [2.788183431931728, 0.0005876180754751174, 1.5902112168376917e-07, -5.527605114100645e-11, + 4.343266442811977e-15, -596.1546540947348, 0.11262832427188434] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, polarizability: 0.7900000000000005, rotational-relaxation: 280.0, note: GRI-Mech} @@ -73,12 +73,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 25474.21776872916, -0.4449728963280224] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 25474.217773649605, -0.444972855749969] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 25474.217768728387, -0.4449728963637201] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 25474.2174872658, -0.4449750090795722] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215, note: GRI-Mech} @@ -87,12 +87,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1145.7520269685585, 5000.0] + temperature-ranges: [100.0, 1145.7521011170168, 5000.0] data: - - [3.514568030889614, 2.927749474273922e-05, -5.321637895868379e-07, 1.0194907787997865e-09, - -3.859453686345065e-13, 3414.2541976175758, 2.104348876239043] - - [3.0719398919454433, 0.0006040155603844118, -1.3978216817494781e-08, -2.1344627096837766e-11, - 2.480657980220244e-15, 3579.386728674486, 4.577999618270958] + - [3.514568038834053, 2.9277405618225407e-05, -5.32163500292442e-07, 1.0194904372190674e-09, + -3.859452377917145e-13, 3414.25419726746, 2.104348847447872] + - [3.071939833652634, 0.0006040156545295, -1.3978269107817313e-08, -2.1344615084426844e-11, + 2.4806570047627186e-15, 3579.3867548969656, 4.577999949781534] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, note: GRI-Mech} @@ -101,12 +101,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 932.147807123929, 5000.0] + temperature-ranges: [100.0, 932.1587116923824, 5000.0] data: - - [4.04594657447324, -0.0017346688146588037, 1.0376730032838863e-05, -1.022036035881876e-08, - 3.3491349668804084e-12, -986.754316874425, 4.6358069149070324] - - [3.2102333691731144, 0.0036794289568842686, -1.2770210213031316e-06, 2.180465263628796e-10, - -1.463389951108199e-14, -910.3663758168628, 8.182947949802738] + - [4.045943172132462, -0.001734626698454687, 1.0376573386756708e-05, -1.0220143747577855e-08, + 3.3490365122259157e-12, -986.754171996653, 4.635818986467584] + - [3.210243785202328, 0.0036794108355443496, -1.2770104000866958e-06, 2.1804398774112111e-10, + -1.4633687091481033e-14, -910.3706242716864, 8.182889562642405] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, rotational-relaxation: 1.0, note: GRI-Mech} @@ -115,12 +115,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1074.5487910223908, 5000.0] + temperature-ranges: [100.0, 1074.5559874666221, 5000.0] data: - - [3.5373230506433604, -0.001215723673673554, 5.316226913876108e-06, -4.894494564171178e-09, - 1.4584747893316288e-12, -1038.5885150253216, 4.683679586164618] - - [3.1538173541160557, 0.0016780494172578125, -7.69977463345062e-07, 1.5127621307497415e-10, - -1.0878302972154481e-14, -1040.815775508589, 6.1675778705421145] + - [3.5373217113695397, -0.0012157081866178787, 5.3161744753665525e-06, -4.894429543084893e-09, + 1.4584485293487145e-12, -1038.5884568564704, 4.6836844075736] + - [3.1538247849326697, 0.001678037130877558, -7.699705205295331e-07, 1.5127459750571054e-10, + -1.0878170489110307e-14, -1040.8190172537113, 6.167535803814269] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} @@ -129,12 +129,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 908.8636980899306, 5000.0] + temperature-ranges: [100.0, 908.8554823511466, 5000.0] data: - - [3.731366284109007, 0.003350606013094521, 9.350720493428984e-06, -1.521051004866441e-08, - 6.416107043520503e-12, -17721.171163869974, 5.459079107803863] - - [5.415764982526016, 0.002610120173918772, -4.3991489926460024e-07, 4.911425476518949e-11, - -3.352347640995115e-15, -18302.943400742348, -4.022358081202631] + - [3.73137614050705, 0.003350482514942175, 9.351187533876275e-06, -1.5211168513411492e-08, + 6.416412701320585e-12, -17721.171582843155, 5.459044225733844] + - [5.415737793495593, 0.0026101678952029977, -4.399430439107962e-07, 4.912101201717723e-11, + -3.3529149506348695e-15, -18302.932441143923, -4.022205933495868] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, rotational-relaxation: 3.8, note: GRI-Mech} @@ -143,12 +143,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 926.4996998286691, 5000.0] + temperature-ranges: [100.0, 926.5000868614704, 5000.0] data: - - [4.114883798366483, -0.00036105622302789266, -6.34738424724746e-06, 1.0588830857995857e-08, - -4.570592635290404e-12, 75083.85536332303, 1.6126948258692664] - - [2.3397315833288777, 0.0017585822652602947, -8.029170644997589e-07, 1.4045749082137327e-10, - -8.474970838349845e-15, 75650.75149764838, 11.32545135377962] + - [4.114884169085687, -0.0003610608257374108, -6.347367058134333e-06, 1.0588806976351849e-08, + -4.570581724984619e-12, 75083.85534754528, 1.612693511378359] + - [2.3397304757095996, 0.0017585841964054565, -8.029181981027698e-07, 1.4045776206801416e-10, + -8.474993553681503e-15, 75650.7519481187, 11.325457559946967] note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, note: GRI-Mech} @@ -157,12 +157,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1571.6325038092866, 5000.0] + temperature-ranges: [100.0, 1571.635577343377, 5000.0] data: - - [3.568380183872591, -0.0008521275749708765, 2.4891831341165422e-06, -1.5633152724367305e-09, - 3.135967411946522e-13, -14284.254949016655, 3.579121029658425] - - [2.913058334465055, 0.0016465903493515035, -6.886211322091902e-07, 1.2103870467221813e-10, - -7.840283442517857e-15, -14180.880154113569, 6.710506180052189] + - [3.5683800484025916, -0.0008521262670226395, 2.4891796966658126e-06, -1.5633120860143723e-09, + 3.135957994412226e-13, -14284.2549422392, 3.579121538053434] + - [2.9130626306424436, 0.0016465842199386833, -6.886180363700936e-07, 1.2103804382683996e-10, + -7.840232784477964e-15, -14180.882416118407, 6.710481156838912] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, diameter: 3.6500000000000004, well-depth: 98.10027624123336, polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} @@ -171,12 +171,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1104.6163817756849, 5000.0] + temperature-ranges: [100.0, 1104.6267239631795, 5000.0] data: - - [4.011923841489133, -0.00015497839451543438, 3.2629774085156933e-06, -2.4042174893371504e-09, - 5.694965417963233e-13, 45867.680221696675, 0.5332006293939462] - - [3.1498337193348007, 0.0029667428526204092, -9.760559992782986e-07, 1.5411531705304938e-10, - -9.503384326736568e-15, 46058.139092219215, 4.7780774856041885] + - [4.0119238173266885, -0.00015497815596776285, 3.262976760818217e-06, -2.4042168549424923e-09, + 5.694963373961063e-13, 45867.680222863884, 0.5332007195283763] + - [3.149833606344721, 0.0029667430594348385, -9.760561249263692e-07, 1.5411534787212476e-10, + -9.503386955575038e-15, 46058.13913461232, 4.778078110804035] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, note: GRI-Mech} @@ -185,12 +185,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1565.714132371199, 5000.0] + temperature-ranges: [100.0, 1565.7120792018852, 5000.0] data: - - [4.35602339043274, -0.0034709024404038355, 1.2566500153664981e-05, -9.99496787565554e-09, - 2.278910275533282e-12, 3995.7703823171323, 2.7511152173315896] - - [4.618552189478943, 0.005044727567949883, -4.392490375225836e-06, 9.733000206186813e-10, - -7.074497320360272e-14, 2787.5657280626556, -2.2289265396150277] + - [4.356024400619503, -0.003470912211025233, 1.2566525897003503e-05, -9.994991807684093e-09, + 2.278917370374692e-12, 3995.7703318779218, 2.751111427914028] + - [4.618520755148811, 0.005044772485178862, -4.392513089795063e-06, 9.733048740473051e-10, + -7.074534554082162e-14, 2787.582246997859, -2.2287435033652683] note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, note: GRI-Mech} @@ -199,12 +199,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1442.3511750737548, 5000.0] + temperature-ranges: [100.0, 1442.3580101782086, 5000.0] data: - - [4.102644262821686, -0.0014406893453596408, 5.450704522808327e-06, -3.580035535341835e-09, - 7.561975727674366e-13, 50400.578468202875, -0.411767744752251] - - [2.626461951839261, 0.003947647061872542, -1.499250600733676e-06, 2.545411695073568e-10, - -1.6295740679010454e-14, 50691.75925170181, 6.783860566624157] + - [4.102643682622427, -0.0014406835121726618, 5.450688287473449e-06, -3.5800194681993524e-09, + 7.561924806653407e-13, 50400.57849602855, -0.4117655884033766] + - [2.6264740273422635, 0.003947629223585963, -1.4992413415313327e-06, 2.545391499915196e-10, + -1.629558318782858e-14, 50691.75316398369, 6.783790698934837] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, note: GRI-Mech} @@ -213,12 +213,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1337.620819587787, 5000.0] + temperature-ranges: [100.0, 1337.627303178629, 5000.0] data: - - [3.915468545997816, 0.0018415334744105523, 3.487446141728892e-06, -3.3275059960317733e-09, - 8.499669695415019e-13, 16285.63932910768, 0.3517380395131654] - - [3.5414438177641827, 0.0047678891393774115, -1.8214953036507109e-06, 3.2887903936663636e-10, - -2.2254753367320316e-14, 16223.964546647976, 1.6604283078795798] + - [3.915467627996589, 0.001841543038966437, 3.4874181471700314e-06, -3.327476648677652e-09, + 8.499570768410386e-13, 16285.639371722482, 0.3517414228537716] + - [3.5414572225301972, 0.004767868738173273, -1.8214844677356902e-06, 3.2887663334895645e-10, + -2.2254563074621602e-14, 16223.958038756007, 1.660351193289797] note: 'Thermo library: primaryThermoLibrary + radical(CH3)' transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, note: GRI-Mech} @@ -227,12 +227,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1402.2812011786486, 5000.0] + temperature-ranges: [100.0, 1402.2848955097152, 5000.0] data: - - [4.322896688132622, -0.00506327946440804, 2.151558020865406e-05, -1.7652165578523147e-08, - 4.318158267459416e-12, -14278.956505443542, 2.3924226447408348] - - [3.179936326492375, 0.00955601269235614, -6.273028454801088e-06, 1.3355481910102911e-09, - -9.684126206021399e-14, -15075.21914563935, 4.31085170341811] + - [4.322893745207224, -0.005063249479937248, 2.1515495168109833e-05, -1.76520795881397e-08, + 4.3181303801961645e-12, -14278.956366088585, 2.3924335479025562] + - [3.1799898971516543, 0.00955593266295388, -6.272986551368634e-06, 1.3355389892308e-09, + -9.68405406001952e-14, -15075.245773494298, 4.310542416920189] note: 'Thermo group additivity estimation: group(Cds-OdHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, rotational-relaxation: 2.0, note: GRI-Mech} @@ -241,12 +241,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1084.123827322365, 5000.0] + temperature-ranges: [100.0, 1084.1178897101286, 5000.0] data: - - [4.205413249592893, -0.005355550700516357, 2.5112249357340948e-05, -2.137618922935306e-08, - 5.97520127499108e-12, -10161.943218560951, -0.9212721095036059] - - [0.9082771923874331, 0.011454066909071433, -4.571727616998398e-06, 8.29189195152023e-10, - -5.6631286728402924e-14, -9719.979461834091, 13.993029451960226] + - [4.205416684633066, -0.005355590254627177, 2.511238250111796e-05, -2.137635320163276e-08, + 5.9752670131915595e-12, -10161.943368029231, -0.9212844871470729] + - [0.9082573996547298, 0.011454099528933412, -4.571746006222714e-06, 8.291934667300837e-10, + -5.66316365457203e-14, -9719.970790335326, 13.993141571614126] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 3.746000000000001, well-depth: 141.400440100105, polarizability: 2.600000000000002, rotational-relaxation: 13.0, note: GRI-Mech} @@ -255,12 +255,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 988.8860879833867, 5000.0] + temperature-ranges: [100.0, 988.874846895476, 5000.0] data: - - [3.2786139579157667, 0.0027414907869317043, 7.160850310649065e-06, -1.080287685514878e-08, - 4.14288279908879e-12, -48470.31456638012, 5.979355663789081] - - [4.546085505272925, 0.0029191505308481846, -1.1548474402701926e-06, 2.276560890459939e-10, - -1.7091195474740168e-14, -48980.355193356234, -1.432689313852118] + - [3.278622967759262, 0.002741382373989827, 7.161238132337091e-06, -1.0803389384388666e-08, + 4.1431045806313505e-12, -48470.314952383545, 5.979323504737395] + - [4.546050274062975, 0.002919210558291122, -1.1548821046550818e-06, 2.276642852647346e-10, + -1.7091875765043676e-14, -48980.34041889094, -1.4324910236617816] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + group(Cdd-OdOd)' transport: {model: gas, geometry: linear, diameter: 3.763, well-depth: 244.00106224424113, @@ -270,12 +270,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 895.0128423768832, 5000.0] + temperature-ranges: [100.0, 895.0163946403012, 5000.0] data: - - [3.711747875498063, 0.0019310495477475086, 2.1234224669361647e-05, -3.031581261488382e-08, - 1.2487821239782904e-11, -4007.4595420199803, 7.291993676284961] - - [6.0562988011935595, 0.0030217384679415552, 1.720948400698776e-08, -6.962736851576313e-11, - 5.182164230170264e-15, -4890.505525515445, -6.3476542841121555] + - [3.711740249971209, 0.0019311457977334778, 2.123385699735588e-05, -3.031528812969471e-08, + 1.2487574647076677e-11, -4007.4592181376324, 7.292020622080347] + - [6.056318547324978, 0.0030217036257262145, 1.723010962975875e-08, -6.963233382451129e-11, + 5.182581927964743e-15, -4890.513428418116, -6.34776466810346] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(CsJOH)' transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, @@ -285,12 +285,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 916.8834490980655, 5000.0] + temperature-ranges: [100.0, 916.8968434206298, 5000.0] data: - - [4.0013575561328585, -0.004156835987149363, 3.263543261448762e-05, -3.71118105654598e-08, - 1.3570917933379284e-11, -6.152570493302685, 6.813714035946757] - - [4.016223845036489, 0.006268132072155586, -1.5806804808679084e-06, 2.44606571076615e-10, - -1.7033720648694282e-14, -449.8054684774207, 4.338796349824254] + - [4.0013327502495155, -0.004156526476422401, 3.263426883212575e-05, -3.7110180766619686e-08, + 1.3570166892492088e-11, -6.151515491093088, 6.8138019013791435] + - [4.016294811471149, 0.006268007893365234, -1.5806074006739916e-06, 2.445890523709642e-10, + -1.70322515470223e-14, -449.83419135504226, 4.338398992219582] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(H3COJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, @@ -300,12 +300,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 952.1389908637451, 5000.0] + temperature-ranges: [100.0, 952.1389545704913, 5000.0] data: - - [3.8949618831293553, -0.0007713534032064971, 2.6475516242260254e-05, -2.9179363149306652e-08, - 1.0083470134889905e-11, -26335.85476940014, 6.364759206338717] - - [3.138078300120791, 0.010354206425018032, -3.569573213259954e-06, 6.2228670380635e-10, - -4.2780556797788775e-14, -26551.895613135097, 8.087777938366735] + - [3.8949619311009682, -0.0007713539892289695, 2.6475518384892784e-05, -2.917936605714971e-08, + 1.0083471431111355e-11, -26335.854771452, 6.364759035632583] + - [3.138078144441756, 0.010354206693580961, -3.5695733697248403e-06, 6.222867410402885e-10, + -4.278055990314069e-14, -26551.895548904657, 8.087778812494083] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.626000000000001, well-depth: 481.802091582003, rotational-relaxation: 1.0, note: GRI-Mech} @@ -314,12 +314,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1076.5739030931832, 5000.0] + temperature-ranges: [100.0, 1076.5707431623787, 5000.0] data: - - [3.038528423280286, 0.011544944603038693, -2.1326485954432746e-05, 1.819338534674556e-08, - -5.41594365314797e-12, 66398.01413786084, 5.966763865161724] - - [4.008476679662765, 0.002068132533447794, 6.051403922076703e-08, -1.1771143178546624e-10, - 1.292843103778667e-14, 66529.51239223393, 2.796431735903967] + - [3.038526076764681, 0.011544971712654409, -2.1326577630156857e-05, 1.8193498854298534e-08, + -5.415989423373292e-12, 66398.01423981925, 5.966772314365718] + - [4.0084898009954175, 0.0020681108532139827, 6.052628413041129e-08, -1.1771428006220733e-10, + 1.2928664540905204e-14, 66529.5066627588, 2.796357444487442] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, rotational-relaxation: 2.5, note: GRI-Mech} @@ -328,12 +328,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 888.6182543600265, 5000.0] + temperature-ranges: [100.0, 888.6312703495089, 5000.0] data: - - [3.0357585217151586, 0.007712248787838784, 2.535472846104679e-06, -1.0814091419221027e-08, - 5.50793884017531e-12, 25852.6438513772, 4.544573545031331] - - [5.7620170200918155, 0.002371637509595834, -1.4961216335698123e-07, -2.1908364280616377e-11, - 2.21719408295192e-15, 25094.4612801627, -9.825927939150352] + - [3.035741541159452, 0.007712463869898586, 2.5346473132966697e-06, -1.0812907257939146e-08, + 5.507378740942841e-12, 25852.644572333335, 4.544633504234925] + - [5.762059744831072, 0.002371561933486471, -1.495673463818596e-07, -2.1919166811126934e-11, + 2.218103671549502e-15, 25094.44423800569, -9.826166661316744] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, rotational-relaxation: 2.5, note: GRI-Mech} @@ -342,12 +342,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 936.0672810203184, 5000.0] + temperature-ranges: [100.0, 936.0638710543434, 5000.0] data: - - [3.4564721955019664, 0.01057287065008409, -7.35997930717575e-06, 7.974865857027052e-10, - 8.644788930195111e-13, 22595.688064401904, 7.094966296818602] - - [5.9981069864241885, 0.003144794134936119, -9.578007435439627e-07, 1.5562106735769888e-10, - -1.0430827416714007e-14, 21969.463783317686, -5.802371777239033] + - [3.4564741766825713, 0.010572846175575629, -7.359888529672018e-06, 7.973614621605504e-10, + 8.64535565921129e-13, 22595.687980009596, 7.094959264554976] + - [5.998100816612723, 0.0031448048531052264, -9.578070191018402e-07, 1.5562256617433557e-10, + -1.0430952759847218e-14, 21969.466304795515, -5.802337182407708] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d) + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, diameter: 2.5000000000000013, well-depth: 150.00110650441783, @@ -357,12 +357,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 931.9858880076591, 5000.0] + temperature-ranges: [100.0, 931.9620386849122, 5000.0] data: - - [3.9066414443391624, -0.00406161805089794, 3.867505561886614e-05, -4.629356294110721e-08, - 1.7288184850765833e-11, 34797.18098324665, 6.098116827390869] - - [5.448161345038558, 0.004983220634586766, -1.088008027091821e-06, 1.7978956968030537e-10, - -1.4505633804539655e-14, 33829.69476393835, -4.879180043982607] + - [3.9067052224888306, -0.004062407608381454, 3.867799265691756e-05, -4.629762490027485e-08, + 1.729003139946922e-11, 34797.178267497635, 6.097890545879522] + - [5.447966243943666, 0.004983560085949153, -1.0882069947704135e-06, 1.798371274522559e-10, + -1.4509613313229812e-14, 33829.77433382413, -4.878086417352228] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, @@ -372,12 +372,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 956.6589663809253, 5000.0] + temperature-ranges: [100.0, 956.6689491705725, 5000.0] data: - - [3.5274937117983933, 0.007083323568383587, 9.178495162982448e-06, -1.6427295974845557e-08, - 6.7119937845095964e-12, -7123.942950136391, 5.743686833486504] - - [5.764843860393455, 0.005965775843435247, -1.984972026524795e-06, 3.527701091332367e-10, - -2.5164077388183256e-14, -7928.956600867915, -6.9211732597275475] + - [3.5274804055011524, 0.007083486242205215, 9.177900378006544e-06, -1.6426489708137257e-08, + 6.711635150789706e-12, -7123.942382209249, 5.743734168371629] + - [5.764889204717002, 0.005965697671832553, -1.9849265041966017e-06, 3.5275927958549083e-10, + -2.5163174396771523e-14, -7928.975322079587, -6.92142788806353] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, @@ -387,12 +387,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 940.4415341496032, 5000.0] + temperature-ranges: [100.0, 940.418247087086, 5000.0] data: - - [3.979761078299263, -0.007575804379415596, 5.5298083380567165e-05, -6.362321213029474e-08, - 2.3177190400951143e-11, 5077.460147499724, 4.0461684201547214] - - [5.202940933280232, 0.007824516477330179, -2.1268877513906106e-06, 3.7970335544514704e-10, - -2.946814128701208e-14, 3936.3029880366635, -6.623812180250903] + - [3.9798415026745158, -0.007576795695064226, 5.5301749021260425e-05, -6.36282467356439e-08, + 2.3179461952714415e-11, 5077.456720344708, 4.0458828180531095] + - [5.202685599067635, 0.00782495932129625, -2.127146740857326e-06, 3.797651593095124e-10, + -2.9473306602423246e-14, 3936.4075648915114, -6.622380040353341] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, rotational-relaxation: 1.5, note: GRI-Mech} @@ -401,12 +401,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 900.3133686413051, 5000.0] + temperature-ranges: [100.0, 900.3134894489242, 5000.0] data: - - [3.8218366887126693, -0.0034336137652750723, 5.092576559329648e-05, -6.202121616415652e-08, - 2.3707360339402987e-11, 13066.01287427912, 7.616431110400184] - - [5.156207199872521, 0.009431228225167086, -1.8194614628685796e-06, 2.2119612633683184e-10, - -1.4348159485107404e-14, 12064.083237107747, -2.9109776507588903] + - [3.821836273781996, -0.0034336085398177577, 5.0925745698192944e-05, -6.202118789954702e-08, + 2.3707347111588728e-11, 13066.012891898954, 7.61643257724655] + - [5.156208306185573, 0.009431226276708927, -1.8194603109290526e-06, 2.2119584928108884e-10, + -1.434813619419196e-14, 12064.082793230154, -2.910983837429268] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ)' transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, @@ -416,12 +416,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1130.2428926130467, 5000.0] + temperature-ranges: [100.0, 1130.229527376887, 5000.0] data: - - [4.057636187975462, -0.0007879398698184641, 2.908788069492715e-06, -1.475204287660629e-09, - 2.128490170160392e-13, -30281.5866521907, -0.31136534685788253] - - [2.8432480470655004, 0.002751089366900853, -7.8103367121036e-07, 1.0724414332729549e-10, - -5.793963421285384e-15, -29958.611693452458, 5.910433578723651] + - [4.0576350324382435, -0.0007879268259766038, 2.908745359555667e-06, -1.4751533432712154e-09, + 2.128292857644156e-13, -30281.58660142529, -0.31136116480217385] + - [2.8432560092133228, 0.0027510764450291783, -7.81026468417208e-07, 1.072424842465603e-10, + -5.79382842272479e-15, -29958.615252484073, 5.910388340788128] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, dipole: 1.8439999999999999, rotational-relaxation: 4.0, note: GRI-Mech} @@ -430,12 +430,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 85474.52470343288, 3.659784206708707] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 85474.52470835333, 3.6597842472867588] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 85474.52470343211, 3.6597842066730095] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 85474.52442196952, 3.659782093957159] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509, note: GRI-Mech} @@ -444,12 +444,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 1009.8671367328868, 5000.0] + temperature-ranges: [100.0, 1009.8708057502912, 5000.0] data: - - [3.3040912347897615, 0.012502446003621081, -3.795055354192445e-06, -4.4633009808641336e-09, - 2.663225471130415e-12, 8782.035416515859, 7.197168970728035] - - [6.7124551454507815, 0.005148330500649028, -2.0007834627740915e-06, 3.788190799793496e-10, - -2.7409124748516927e-14, 7780.23551660169, -10.831376654084673] + - [3.304087973229727, 0.01250248485622879, -3.7951924250664015e-06, -4.463122728730499e-09, + 2.6631496728579284e-12, 8782.035556651996, 7.197180637326219] + - [6.712469069000979, 0.005148306955083985, -2.0007699389212864e-06, 3.78815894942322e-10, + -2.740886117401159e-14, 7780.2296193740285, -10.831455133638801] note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, rotational-relaxation: 2.0, note: GRI-Mech} @@ -458,12 +458,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 914.2195653125194, 5000.0] + temperature-ranges: [100.0, 914.2116020861831, 5000.0] data: - - [3.347148890024995, 0.0012878732026556307, 5.399642419215212e-05, -7.841121904676618e-08, - 3.240708687065647e-11, -2992.8440212693995, 8.9731019330448] - - [11.726154554803275, -0.001473691800042265, 2.907484426602473e-06, -5.970162857550277e-10, - 3.7029752558219025e-14, -5941.538943574109, -38.44712632255116] + - [3.347196840427565, 0.0012872740814258146, 5.399868121989472e-05, -7.841438689681067e-08, + 3.240855021277469e-11, -2992.8460602521013, 8.972932135895645] + - [11.726019036050477, -0.0014734544263003628, 2.9073446308875385e-06, -5.969827568656105e-10, + 3.702693978288885e-14, -5941.484167993394, -38.44636767007471] note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + group(Cds-CdsHH) + radical(C=COJ)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, @@ -473,12 +473,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 984.2016120728738, 5000.0] + temperature-ranges: [100.0, 984.197680603768, 5000.0] data: - - [3.7007802531138334, 0.0003879420044348043, 3.8692486968828104e-05, -4.5244175226526585e-08, - 1.588568911984255e-11, -21380.907966251474, 9.13565622207468] - - [4.588928731919886, 0.01288931344454544, -4.914985254816196e-06, 9.265000639719394e-10, - -6.710044287886815e-14, -22336.02926281222, 0.9008805816430335] + - [3.7007899203288224, 0.00038782542085882675, 3.8692905312513264e-05, -4.524473009262779e-08, + 1.5885930165726808e-11, -21380.908380185487, 9.13562173300882] + - [4.588891681956185, 0.012889376676989747, -4.915021813955812e-06, 9.26508715798075e-10, + -6.710116145936973e-14, -22336.013760155674, 0.9010890403489865] note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, rotational-relaxation: 2.0, note: GRI-Mech} @@ -487,12 +487,12 @@ species: thermo: model: NASA7 reference-pressure: 10000.0 - temperature-ranges: [100.0, 986.5741824852131, 5000.0] + temperature-ranges: [100.0, 986.5783141978117, 5000.0] data: - - [3.052565931612535, 0.01250994052655728, 3.793862567309607e-05, -5.120220837447088e-08, - 1.8706492840834734e-11, -14454.176775999556, 10.067246001067637] - - [5.91316392026703, 0.021876253744009963, -8.176607701325125e-06, 1.4985452522965277e-09, - -1.0599135379428694e-13, -16038.878659602295, -8.865558390351929] + - [3.052552781024803, 0.0125100989428809, 3.7938058095217115e-05, -5.120145693587291e-08, + 1.8706167044773312e-11, -14454.176212770122, 10.067292928454926] + - [5.9132148512337706, 0.021876166894657482, -8.176557517977191e-06, 1.4985333815155727e-09, + -1.0599036819008721e-13, -16038.899994267074, -8.865844996334646] note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, @@ -634,26 +634,26 @@ reactions: - equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + 2 O2(7) + O2(7) <=> HO2(6) + O2(7) + O2(7) +- equation: H(4) + O2(7) + O2(7) <=> HO2(6) + O2(7) rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} efficiencies: {O2(7): 1.0} note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + H2O(28) + O2(7) + H2O(28) <=> H2O(28) + HO2(6) + H2O(28) +- equation: H(4) + O2(7) + H2O(28) <=> HO2(6) + H2O(28) rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} efficiencies: {H2O(28): 1.0} note: 'Library reaction: GRI-Mech3.0' - equation: H(4) + O2(7) <=> O(2) + OH(5) rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + H2(3) + H2(3) <=> 2 H2(3) + H2(3) +- equation: 2 H(4) + H2(3) <=> H2(3) + H2(3) rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} efficiencies: {H2(3): 1.0} note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + H2O(28) + H2O(28) <=> H2(3) + H2O(28) + H2O(28) +- equation: 2 H(4) + H2O(28) <=> H2(3) + H2O(28) rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} efficiencies: {H2O(28): 1.0} note: 'Library reaction: GRI-Mech3.0' -- equation: CO2(17) + 2 H(4) + CO2(17) <=> CO2(17) + H2(3) + CO2(17) +- equation: 2 H(4) + CO2(17) <=> H2(3) + CO2(17) rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} efficiencies: {CO2(17): 1.0} note: 'Library reaction: GRI-Mech3.0' @@ -696,9 +696,8 @@ reactions: - equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) + H(4) <=> CH2OH(18) + H(4) + H(4) +- equation: CH3O(19) + H(4) <=> CH2OH(18) + H(4) rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} - efficiencies: {H(4): 1.0} note: 'Library reaction: GRI-Mech3.0' - equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} @@ -736,9 +735,8 @@ reactions: - equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HCCOH(30) + H(4) <=> CH2CO(25) + H(4) + H(4) +- equation: H(4) + HCCOH(30) <=> CH2CO(25) + H(4) rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - efficiencies: {H(4): 1.0} note: 'Library reaction: GRI-Mech3.0' - equation: H2(3) + OH(5) <=> H(4) + H2O(28) rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} @@ -920,9 +918,8 @@ reactions: - equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H2O(28) + H2O(28) <=> CH2(11) + H2O(28) + H2O(28) +- equation: CH2(S)(13) + H2O(28) <=> CH2(11) + H2O(28) rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - efficiencies: {H2O(28): 1.0} note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} @@ -930,13 +927,11 @@ reactions: - equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CO(10) + CO(10) <=> CH2(11) + CO(10) + CO(10) +- equation: CH2(S)(13) + CO(10) <=> CH2(11) + CO(10) rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} - efficiencies: {CO(10): 1.0} note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CO2(17) + CO2(17) <=> CH2(11) + CO2(17) + CO2(17) +- equation: CH2(S)(13) + CO2(17) <=> CH2(11) + CO2(17) rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} - efficiencies: {CO2(17): 1.0} note: 'Library reaction: GRI-Mech3.0' - equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} @@ -974,7 +969,7 @@ reactions: - equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} note: 'Library reaction: GRI-Mech3.0' -- equation: H2O(28) + HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) + H2O(28) +- equation: HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} efficiencies: {H2O(28): 1.0} note: 'Library reaction: GRI-Mech3.0' @@ -1056,7 +1051,7 @@ reactions: - equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + CH3CHO(32) + CH3(14) => CH3(14) + CH4(16) + CO(10) + CH3(14) +- equation: CH3CHO(32) + CH3(14) => CH4(16) + CO(10) + CH3(14) rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} efficiencies: {CH3(14): 1.0} note: 'Library reaction: GRI-Mech3.0' diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml index 346df39d34c..38930866a97 100644 --- a/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml @@ -1,30 +1,36 @@ description: RMG-Py Generated Mechanism -generator: 'RMG-Py CanteraWriter2 at /Users/rwest/Code/RMG-Py/rmgpy/yaml_cantera2.py - (git commit: 36d0039)' +generator: 'RMG-Py CanteraWriter2 at /Users/daniellelucey/RMG-Py/rmgpy/yaml_cantera2.py + (git commit: 063b6b0)' cantera-version: '3.1' units: {length: m, time: s, quantity: mol, activation-energy: J/mol} +elements: +- {symbol: D, atomic-weight: 2.014101715758443} +- {symbol: T, atomic-weight: 3.0160490423440933} +- {symbol: CI, atomic-weight: 13.003353960812092} +- {symbol: OI, atomic-weight: 17.999159172177315} +- {symbol: X, atomic-weight: 195.083} phases: - name: gas thermo: ideal-gas - elements: [Ar, Br, C, Cl, E, F, H, He, I, N, Ne, O, S, Si] + elements: [Ar, Br, C, CI, Cl, D, F, H, He, I, N, Ne, O, OI, S, Si, T, X] species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] kinetics: gas - reactions: declared-species transport: mixture-averaged + state: {T: 300.0, P: 1 atm} species: - name: ethane(1) composition: {H: 6, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 954.5110936886715, 5000.0] + temperature-ranges: [100.0, 954.5165316630638, 5000.0] data: - - [3.780345805837327, -0.0032427616688195738, 5.5238540835961135e-05, -6.385877469439608e-08, - 2.28639998353842e-11, -11620.34135275107, 5.210297172176226] - - [4.589795312018622, 0.014150836627966965, -4.7596579825052244e-06, 8.603029496983977e-10, - -6.217238823881424e-14, -12721.75068161533, -3.6171891868496764] + - [3.7803274333291164, -0.003242536810039668, 5.523771743952032e-05, -6.385765657832756e-08, + 2.286350154835937e-11, -11620.34056878642, 5.2103625138745535] + - [4.589857356655155, 0.01415072957994417, -4.759595608783751e-06, 8.602881051327119e-10, + -6.21711500823632e-14, -12721.776270468992, -3.617537540469888] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, rotational-relaxation: 1.5, note: GRI-Mech} @@ -32,12 +38,12 @@ species: composition: {O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 29230.244128550923, 5.12616427269486] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 29230.244133471373, 5.126164313272914] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 29230.24412855015, 5.126164272659162] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 29230.243847087564, 5.126162159943312] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, well-depth: 80.00026940977129, diameter: 2.7500000000000004, note: GRI-Mech} @@ -45,12 +51,12 @@ species: composition: {H: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1959.0734570532368, 5000.0] + temperature-ranges: [100.0, 1959.0704060489752, 5000.0] data: - - [3.4353640322436836, 0.000212711088867548, -2.786267109928371e-07, 3.4026847506425956e-10, - -7.76035238245164e-14, -1031.3598354840772, -3.9084169952050014] - - [2.7881746899044373, 0.0005876294327569003, 1.5901580485407815e-07, -5.527498406457646e-11, - 4.343188667565404e-15, -596.1494960879099, 0.11268014479418695] + - [3.4353639487680128, 0.0002127118156028557, -2.7862835897145624e-07, 3.402697677898988e-10, + -7.760384389606823e-14, -1031.3598307378923, -3.9084166738022317] + - [2.788183431931728, 0.0005876180754751174, 1.5902112168376917e-07, -5.527605114100645e-11, + 4.343266442811977e-15, -596.1546540947348, 0.11262832427188434] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, well-depth: 38.00012796964137, diameter: 2.92, polarizability: 0.7900000000000004, rotational-relaxation: 280.0, note: GRI-Mech} @@ -58,12 +64,12 @@ species: composition: {H: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 25474.21776872916, -0.4449728963280224] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 25474.217773649605, -0.444972855749969] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 25474.217768728387, -0.4449728963637201] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 25474.2174872658, -0.4449750090795722] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, well-depth: 145.00018762466215, diameter: 2.0500000000000003, note: GRI-Mech} @@ -71,12 +77,12 @@ species: composition: {H: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1145.7520269685585, 5000.0] + temperature-ranges: [100.0, 1145.7521011170168, 5000.0] data: - - [3.514568030889614, 2.927749474273922e-05, -5.321637895868379e-07, 1.0194907787997865e-09, - -3.859453686345065e-13, 3414.2541976175758, 2.104348876239043] - - [3.0719398919454433, 0.0006040155603844118, -1.3978216817494781e-08, -2.1344627096837766e-11, - 2.480657980220244e-15, 3579.386728674486, 4.577999618270958] + - [3.514568038834053, 2.9277405618225407e-05, -5.32163500292442e-07, 1.0194904372190674e-09, + -3.859452377917145e-13, 3414.25419726746, 2.104348847447872] + - [3.071939833652634, 0.0006040156545295, -1.3978269107817313e-08, -2.1344615084426844e-11, + 2.4806570047627186e-15, 3579.3867548969656, 4.577999949781534] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, note: GRI-Mech} @@ -84,12 +90,12 @@ species: composition: {H: 1, O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 932.147807123929, 5000.0] + temperature-ranges: [100.0, 932.1587116923824, 5000.0] data: - - [4.04594657447324, -0.0017346688146588037, 1.0376730032838863e-05, -1.022036035881876e-08, - 3.3491349668804084e-12, -986.754316874425, 4.6358069149070324] - - [3.2102333691731144, 0.0036794289568842686, -1.2770210213031316e-06, 2.180465263628796e-10, - -1.463389951108199e-14, -910.3663758168628, 8.182947949802738] + - [4.045943172132462, -0.001734626698454687, 1.0376573386756708e-05, -1.0220143747577855e-08, + 3.3490365122259157e-12, -986.754171996653, 4.635818986467584] + - [3.210243785202328, 0.0036794108355443496, -1.2770104000866958e-06, 2.1804398774112111e-10, + -1.4633687091481033e-14, -910.3706242716864, 8.182889562642405] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, rotational-relaxation: 1.0, note: GRI-Mech} @@ -97,12 +103,12 @@ species: composition: {O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1074.5487910223908, 5000.0] + temperature-ranges: [100.0, 1074.5559874666221, 5000.0] data: - - [3.5373230506433604, -0.001215723673673554, 5.316226913876108e-06, -4.894494564171178e-09, - 1.4584747893316288e-12, -1038.5885150253216, 4.683679586164618] - - [3.1538173541160557, 0.0016780494172578125, -7.69977463345062e-07, 1.5127621307497415e-10, - -1.0878302972154481e-14, -1040.815775508589, 6.1675778705421145] + - [3.5373217113695397, -0.0012157081866178787, 5.3161744753665525e-06, -4.894429543084893e-09, + 1.4584485293487145e-12, -1038.5884568564704, 4.6836844075736] + - [3.1538247849326697, 0.001678037130877558, -7.699705205295331e-07, 1.5127459750571054e-10, + -1.0878170489110307e-14, -1040.8190172537113, 6.167535803814269] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, well-depth: 107.40032560095216, diameter: 3.458000000000001, polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} @@ -110,12 +116,12 @@ species: composition: {H: 2, O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 908.8636980899306, 5000.0] + temperature-ranges: [100.0, 908.8554823511466, 5000.0] data: - - [3.731366284109007, 0.003350606013094521, 9.350720493428984e-06, -1.521051004866441e-08, - 6.416107043520503e-12, -17721.171163869974, 5.459079107803863] - - [5.415764982526016, 0.002610120173918772, -4.3991489926460024e-07, 4.911425476518949e-11, - -3.352347640995115e-15, -18302.943400742348, -4.022358081202631] + - [3.73137614050705, 0.003350482514942175, 9.351187533876275e-06, -1.5211168513411492e-08, + 6.416412701320585e-12, -17721.171582843155, 5.459044225733844] + - [5.415737793495593, 0.0026101678952029977, -4.399430439107962e-07, 4.912101201717723e-11, + -3.3529149506348695e-15, -18302.932441143923, -4.022205933495868] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, rotational-relaxation: 3.8, note: GRI-Mech} @@ -123,12 +129,12 @@ species: composition: {H: 1, C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 926.4996998286691, 5000.0] + temperature-ranges: [100.0, 926.5000868614704, 5000.0] data: - - [4.114883798366483, -0.00036105622302789266, -6.34738424724746e-06, 1.0588830857995857e-08, - -4.570592635290404e-12, 75083.85536332303, 1.6126948258692664] - - [2.3397315833288777, 0.0017585822652602947, -8.029170644997589e-07, 1.4045749082137327e-10, - -8.474970838349845e-15, 75650.75149764838, 11.32545135377962] + - [4.114884169085687, -0.0003610608257374108, -6.347367058134333e-06, 1.0588806976351849e-08, + -4.570581724984619e-12, 75083.85534754528, 1.612693511378359] + - [2.3397304757095996, 0.0017585841964054565, -8.029181981027698e-07, 1.4045776206801416e-10, + -8.474993553681503e-15, 75650.7519481187, 11.325457559946967] note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, note: GRI-Mech} @@ -136,12 +142,12 @@ species: composition: {C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1571.6325038092866, 5000.0] + temperature-ranges: [100.0, 1571.635577343377, 5000.0] data: - - [3.568380183872591, -0.0008521275749708765, 2.4891831341165422e-06, -1.5633152724367305e-09, - 3.135967411946522e-13, -14284.254949016655, 3.579121029658425] - - [2.913058334465055, 0.0016465903493515035, -6.886211322091902e-07, 1.2103870467221813e-10, - -7.840283442517857e-15, -14180.880154113569, 6.710506180052189] + - [3.5683800484025916, -0.0008521262670226395, 2.4891796966658126e-06, -1.5633120860143723e-09, + 3.135957994412226e-13, -14284.2549422392, 3.579121538053434] + - [2.9130626306424436, 0.0016465842199386833, -6.886180363700936e-07, 1.2103804382683996e-10, + -7.840232784477964e-15, -14180.882416118407, 6.710481156838912] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: linear, well-depth: 98.10027624123336, diameter: 3.6500000000000004, polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} @@ -149,12 +155,12 @@ species: composition: {H: 2, C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1104.6163817756849, 5000.0] + temperature-ranges: [100.0, 1104.6267239631795, 5000.0] data: - - [4.011923841489133, -0.00015497839451543438, 3.2629774085156933e-06, -2.4042174893371504e-09, - 5.694965417963233e-13, 45867.680221696675, 0.5332006293939462] - - [3.1498337193348007, 0.0029667428526204092, -9.760559992782986e-07, 1.5411531705304938e-10, - -9.503384326736568e-15, 46058.139092219215, 4.7780774856041885] + - [4.0119238173266885, -0.00015497815596776285, 3.262976760818217e-06, -2.4042168549424923e-09, + 5.694963373961063e-13, 45867.680222863884, 0.5332007195283763] + - [3.149833606344721, 0.0029667430594348385, -9.760561249263692e-07, 1.5411534787212476e-10, + -9.503386955575038e-15, 46058.13913461232, 4.778078110804035] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, note: GRI-Mech} @@ -162,12 +168,12 @@ species: composition: {H: 1, C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1565.714132371199, 5000.0] + temperature-ranges: [100.0, 1565.7120792018852, 5000.0] data: - - [4.35602339043274, -0.0034709024404038355, 1.2566500153664981e-05, -9.99496787565554e-09, - 2.278910275533282e-12, 3995.7703823171323, 2.7511152173315896] - - [4.618552189478943, 0.005044727567949883, -4.392490375225836e-06, 9.733000206186813e-10, - -7.074497320360272e-14, 2787.5657280626556, -2.2289265396150277] + - [4.356024400619503, -0.003470912211025233, 1.2566525897003503e-05, -9.994991807684093e-09, + 2.278917370374692e-12, 3995.7703318779218, 2.751111427914028] + - [4.618520755148811, 0.005044772485178862, -4.392513089795063e-06, 9.733048740473051e-10, + -7.074534554082162e-14, 2787.582246997859, -2.2287435033652683] note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, note: GRI-Mech} @@ -175,12 +181,12 @@ species: composition: {H: 2, C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1442.3511750737548, 5000.0] + temperature-ranges: [100.0, 1442.3580101782086, 5000.0] data: - - [4.102644262821686, -0.0014406893453596408, 5.450704522808327e-06, -3.580035535341835e-09, - 7.561975727674366e-13, 50400.578468202875, -0.411767744752251] - - [2.626461951839261, 0.003947647061872542, -1.499250600733676e-06, 2.545411695073568e-10, - -1.6295740679010454e-14, 50691.75925170181, 6.783860566624157] + - [4.102643682622427, -0.0014406835121726618, 5.450688287473449e-06, -3.5800194681993524e-09, + 7.561924806653407e-13, 50400.57849602855, -0.4117655884033766] + - [2.6264740273422635, 0.003947629223585963, -1.4992413415313327e-06, 2.545391499915196e-10, + -1.629558318782858e-14, 50691.75316398369, 6.783790698934837] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, note: GRI-Mech} @@ -188,12 +194,12 @@ species: composition: {H: 3, C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1337.620819587787, 5000.0] + temperature-ranges: [100.0, 1337.627303178629, 5000.0] data: - - [3.915468545997816, 0.0018415334744105523, 3.487446141728892e-06, -3.3275059960317733e-09, - 8.499669695415019e-13, 16285.63932910768, 0.3517380395131654] - - [3.5414438177641827, 0.0047678891393774115, -1.8214953036507109e-06, 3.2887903936663636e-10, - -2.2254753367320316e-14, 16223.964546647976, 1.6604283078795798] + - [3.915467627996589, 0.001841543038966437, 3.4874181471700314e-06, -3.327476648677652e-09, + 8.499570768410386e-13, 16285.639371722482, 0.3517414228537716] + - [3.5414572225301972, 0.004767868738173273, -1.8214844677356902e-06, 3.2887663334895645e-10, + -2.2254563074621602e-14, 16223.958038756007, 1.660351193289797] note: 'Thermo library: primaryThermoLibrary + radical(CH3)' transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, note: GRI-Mech} @@ -201,12 +207,12 @@ species: composition: {H: 2, C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1402.2812011786486, 5000.0] + temperature-ranges: [100.0, 1402.2848955097152, 5000.0] data: - - [4.322896688132622, -0.00506327946440804, 2.151558020865406e-05, -1.7652165578523147e-08, - 4.318158267459416e-12, -14278.956505443542, 2.3924226447408348] - - [3.179936326492375, 0.00955601269235614, -6.273028454801088e-06, 1.3355481910102911e-09, - -9.684126206021399e-14, -15075.21914563935, 4.31085170341811] + - [4.322893745207224, -0.005063249479937248, 2.1515495168109833e-05, -1.76520795881397e-08, + 4.3181303801961645e-12, -14278.956366088585, 2.3924335479025562] + - [3.1799898971516543, 0.00955593266295388, -6.272986551368634e-06, 1.3355389892308e-09, + -9.68405406001952e-14, -15075.245773494298, 4.310542416920189] note: 'Thermo group additivity estimation: group(Cds-OdHH)' transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, rotational-relaxation: 2.0, note: GRI-Mech} @@ -214,12 +220,12 @@ species: composition: {H: 4, C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1084.123827322365, 5000.0] + temperature-ranges: [100.0, 1084.1178897101286, 5000.0] data: - - [4.205413249592893, -0.005355550700516357, 2.5112249357340948e-05, -2.137618922935306e-08, - 5.97520127499108e-12, -10161.943218560951, -0.9212721095036059] - - [0.9082771923874331, 0.011454066909071433, -4.571727616998398e-06, 8.29189195152023e-10, - -5.6631286728402924e-14, -9719.979461834091, 13.993029451960226] + - [4.205416684633066, -0.005355590254627177, 2.511238250111796e-05, -2.137635320163276e-08, + 5.9752670131915595e-12, -10161.943368029231, -0.9212844871470729] + - [0.9082573996547298, 0.011454099528933412, -4.571746006222714e-06, 8.291934667300837e-10, + -5.66316365457203e-14, -9719.970790335326, 13.993141571614126] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, well-depth: 141.400440100105, diameter: 3.746000000000001, polarizability: 2.6000000000000014, rotational-relaxation: 13.0, note: GRI-Mech} @@ -227,12 +233,12 @@ species: composition: {C: 1, O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 988.8860879833867, 5000.0] + temperature-ranges: [100.0, 988.874846895476, 5000.0] data: - - [3.2786139579157667, 0.0027414907869317043, 7.160850310649065e-06, -1.080287685514878e-08, - 4.14288279908879e-12, -48470.31456638012, 5.979355663789081] - - [4.546085505272925, 0.0029191505308481846, -1.1548474402701926e-06, 2.276560890459939e-10, - -1.7091195474740168e-14, -48980.355193356234, -1.432689313852118] + - [3.278622967759262, 0.002741382373989827, 7.161238132337091e-06, -1.0803389384388666e-08, + 4.1431045806313505e-12, -48470.314952383545, 5.979323504737395] + - [4.546050274062975, 0.002919210558291122, -1.1548821046550818e-06, 2.276642852647346e-10, + -1.7091875765043676e-14, -48980.34041889094, -1.4324910236617816] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + group(Cdd-OdOd)' transport: {model: gas, geometry: linear, well-depth: 244.00106224424113, diameter: 3.763, @@ -241,12 +247,12 @@ species: composition: {H: 3, C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 895.0128423768832, 5000.0] + temperature-ranges: [100.0, 895.0163946403012, 5000.0] data: - - [3.711747875498063, 0.0019310495477475086, 2.1234224669361647e-05, -3.031581261488382e-08, - 1.2487821239782904e-11, -4007.4595420199803, 7.291993676284961] - - [6.0562988011935595, 0.0030217384679415552, 1.720948400698776e-08, -6.962736851576313e-11, - 5.182164230170264e-15, -4890.505525515445, -6.3476542841121555] + - [3.711740249971209, 0.0019311457977334778, 2.123385699735588e-05, -3.031528812969471e-08, + 1.2487574647076677e-11, -4007.4592181376324, 7.292020622080347] + - [6.056318547324978, 0.0030217036257262145, 1.723010962975875e-08, -6.963233382451129e-11, + 5.182581927964743e-15, -4890.513428418116, -6.34776466810346] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(CsJOH)' transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, @@ -255,12 +261,12 @@ species: composition: {H: 3, C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 916.8834490980655, 5000.0] + temperature-ranges: [100.0, 916.8968434206298, 5000.0] data: - - [4.0013575561328585, -0.004156835987149363, 3.263543261448762e-05, -3.71118105654598e-08, - 1.3570917933379284e-11, -6.152570493302685, 6.813714035946757] - - [4.016223845036489, 0.006268132072155586, -1.5806804808679084e-06, 2.44606571076615e-10, - -1.7033720648694282e-14, -449.8054684774207, 4.338796349824254] + - [4.0013327502495155, -0.004156526476422401, 3.263426883212575e-05, -3.7110180766619686e-08, + 1.3570166892492088e-11, -6.151515491093088, 6.8138019013791435] + - [4.016294811471149, 0.006268007893365234, -1.5806074006739916e-06, 2.445890523709642e-10, + -1.70322515470223e-14, -449.83419135504226, 4.338398992219582] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(H3COJ)' transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, @@ -269,12 +275,12 @@ species: composition: {H: 4, C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 952.1389908637451, 5000.0] + temperature-ranges: [100.0, 952.1389545704913, 5000.0] data: - - [3.8949618831293553, -0.0007713534032064971, 2.6475516242260254e-05, -2.9179363149306652e-08, - 1.0083470134889905e-11, -26335.85476940014, 6.364759206338717] - - [3.138078300120791, 0.010354206425018032, -3.569573213259954e-06, 6.2228670380635e-10, - -4.2780556797788775e-14, -26551.895613135097, 8.087777938366735] + - [3.8949619311009682, -0.0007713539892289695, 2.6475518384892784e-05, -2.917936605714971e-08, + 1.0083471431111355e-11, -26335.854771452, 6.364759035632583] + - [3.138078144441756, 0.010354206693580961, -3.5695733697248403e-06, 6.222867410402885e-10, + -4.278055990314069e-14, -26551.895548904657, 8.087778812494083] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' transport: {model: gas, geometry: nonlinear, well-depth: 481.802091582003, diameter: 3.626000000000001, rotational-relaxation: 1.0, note: GRI-Mech} @@ -282,12 +288,12 @@ species: composition: {H: 1, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1076.5739030931832, 5000.0] + temperature-ranges: [100.0, 1076.5707431623787, 5000.0] data: - - [3.038528423280286, 0.011544944603038693, -2.1326485954432746e-05, 1.819338534674556e-08, - -5.41594365314797e-12, 66398.01413786084, 5.966763865161724] - - [4.008476679662765, 0.002068132533447794, 6.051403922076703e-08, -1.1771143178546624e-10, - 1.292843103778667e-14, 66529.51239223393, 2.796431735903967] + - [3.038526076764681, 0.011544971712654409, -2.1326577630156857e-05, 1.8193498854298534e-08, + -5.415989423373292e-12, 66398.01423981925, 5.966772314365718] + - [4.0084898009954175, 0.0020681108532139827, 6.052628413041129e-08, -1.1771428006220733e-10, + 1.2928664540905204e-14, 66529.5066627588, 2.796357444487442] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, rotational-relaxation: 2.5, note: GRI-Mech} @@ -295,12 +301,12 @@ species: composition: {H: 2, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 888.6182543600265, 5000.0] + temperature-ranges: [100.0, 888.6312703495089, 5000.0] data: - - [3.0357585217151586, 0.007712248787838784, 2.535472846104679e-06, -1.0814091419221027e-08, - 5.50793884017531e-12, 25852.6438513772, 4.544573545031331] - - [5.7620170200918155, 0.002371637509595834, -1.4961216335698123e-07, -2.1908364280616377e-11, - 2.21719408295192e-15, 25094.4612801627, -9.825927939150352] + - [3.035741541159452, 0.007712463869898586, 2.5346473132966697e-06, -1.0812907257939146e-08, + 5.507378740942841e-12, 25852.644572333335, 4.544633504234925] + - [5.762059744831072, 0.002371561933486471, -1.495673463818596e-07, -2.1919166811126934e-11, + 2.218103671549502e-15, 25094.44423800569, -9.826166661316744] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, rotational-relaxation: 2.5, note: GRI-Mech} @@ -308,12 +314,12 @@ species: composition: {H: 1, C: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 936.0672810203184, 5000.0] + temperature-ranges: [100.0, 936.0638710543434, 5000.0] data: - - [3.4564721955019664, 0.01057287065008409, -7.35997930717575e-06, 7.974865857027052e-10, - 8.644788930195111e-13, 22595.688064401904, 7.094966296818602] - - [5.9981069864241885, 0.003144794134936119, -9.578007435439627e-07, 1.5562106735769888e-10, - -1.0430827416714007e-14, 21969.463783317686, -5.802371777239033] + - [3.4564741766825713, 0.010572846175575629, -7.359888529672018e-06, 7.973614621605504e-10, + 8.64535565921129e-13, 22595.687980009596, 7.094959264554976] + - [5.998100816612723, 0.0031448048531052264, -9.578070191018402e-07, 1.5562256617433557e-10, + -1.0430952759847218e-14, 21969.466304795515, -5.802337182407708] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d) + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, well-depth: 150.00110650441783, diameter: 2.500000000000001, @@ -322,12 +328,12 @@ species: composition: {H: 3, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 931.9858880076591, 5000.0] + temperature-ranges: [100.0, 931.9620386849122, 5000.0] data: - - [3.9066414443391624, -0.00406161805089794, 3.867505561886614e-05, -4.629356294110721e-08, - 1.7288184850765833e-11, 34797.18098324665, 6.098116827390869] - - [5.448161345038558, 0.004983220634586766, -1.088008027091821e-06, 1.7978956968030537e-10, - -1.4505633804539655e-14, 33829.69476393835, -4.879180043982607] + - [3.9067052224888306, -0.004062407608381454, 3.867799265691756e-05, -4.629762490027485e-08, + 1.729003139946922e-11, 34797.178267497635, 6.097890545879522] + - [5.447966243943666, 0.004983560085949153, -1.0882069947704135e-06, 1.798371274522559e-10, + -1.4509613313229812e-14, 33829.77433382413, -4.878086417352228] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P)' transport: {model: gas, geometry: nonlinear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, @@ -336,12 +342,12 @@ species: composition: {H: 2, C: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 956.6589663809253, 5000.0] + temperature-ranges: [100.0, 956.6689491705725, 5000.0] data: - - [3.5274937117983933, 0.007083323568383587, 9.178495162982448e-06, -1.6427295974845557e-08, - 6.7119937845095964e-12, -7123.942950136391, 5.743686833486504] - - [5.764843860393455, 0.005965775843435247, -1.984972026524795e-06, 3.527701091332367e-10, - -2.5164077388183256e-14, -7928.956600867915, -6.9211732597275475] + - [3.5274804055011524, 0.007083486242205215, 9.177900378006544e-06, -1.6426489708137257e-08, + 6.711635150789706e-12, -7123.942382209249, 5.743734168371629] + - [5.764889204717002, 0.005965697671832553, -1.9849265041966017e-06, 3.5275927958549083e-10, + -2.5163174396771523e-14, -7928.975322079587, -6.92142788806353] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d)' transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, @@ -350,12 +356,12 @@ species: composition: {H: 4, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 940.4415341496032, 5000.0] + temperature-ranges: [100.0, 940.418247087086, 5000.0] data: - - [3.979761078299263, -0.007575804379415596, 5.5298083380567165e-05, -6.362321213029474e-08, - 2.3177190400951143e-11, 5077.460147499724, 4.0461684201547214] - - [5.202940933280232, 0.007824516477330179, -2.1268877513906106e-06, 3.7970335544514704e-10, - -2.946814128701208e-14, 3936.3029880366635, -6.623812180250903] + - [3.9798415026745158, -0.007576795695064226, 5.5301749021260425e-05, -6.36282467356439e-08, + 2.3179461952714415e-11, 5077.456720344708, 4.0458828180531095] + - [5.202685599067635, 0.00782495932129625, -2.127146740857326e-06, 3.797651593095124e-10, + -2.9473306602423246e-14, 3936.4075648915114, -6.622380040353341] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' transport: {model: gas, geometry: nonlinear, well-depth: 280.80075319274636, diameter: 3.9710000000000005, rotational-relaxation: 1.5, note: GRI-Mech} @@ -363,12 +369,12 @@ species: composition: {H: 5, C: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 900.3133686413051, 5000.0] + temperature-ranges: [100.0, 900.3134894489242, 5000.0] data: - - [3.8218366887126693, -0.0034336137652750723, 5.092576559329648e-05, -6.202121616415652e-08, - 2.3707360339402987e-11, 13066.01287427912, 7.616431110400184] - - [5.156207199872521, 0.009431228225167086, -1.8194614628685796e-06, 2.2119612633683184e-10, - -1.4348159485107404e-14, 12064.083237107747, -2.9109776507588903] + - [3.821836273781996, -0.0034336085398177577, 5.0925745698192944e-05, -6.202118789954702e-08, + 2.3707347111588728e-11, 13066.012891898954, 7.61643257724655] + - [5.156208306185573, 0.009431226276708927, -1.8194603109290526e-06, 2.2119584928108884e-10, + -1.434813619419196e-14, 12064.082793230154, -2.910983837429268] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ)' transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, @@ -377,12 +383,12 @@ species: composition: {H: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1130.2428926130467, 5000.0] + temperature-ranges: [100.0, 1130.229527376887, 5000.0] data: - - [4.057636187975462, -0.0007879398698184641, 2.908788069492715e-06, -1.475204287660629e-09, - 2.128490170160392e-13, -30281.5866521907, -0.31136534685788253] - - [2.8432480470655004, 0.002751089366900853, -7.8103367121036e-07, 1.0724414332729549e-10, - -5.793963421285384e-15, -29958.611693452458, 5.910433578723651] + - [4.0576350324382435, -0.0007879268259766038, 2.908745359555667e-06, -1.4751533432712154e-09, + 2.128292857644156e-13, -30281.58660142529, -0.31136116480217385] + - [2.8432560092133228, 0.0027510764450291783, -7.81026468417208e-07, 1.072424842465603e-10, + -5.79382842272479e-15, -29958.615252484073, 5.910388340788128] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: nonlinear, well-depth: 572.4019516813576, diameter: 2.6050000000000004, dipole: 1.8440000000000003, rotational-relaxation: 4.0, note: GRI-Mech} @@ -390,12 +396,12 @@ species: composition: {C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.427070109808, 5000.0] + temperature-ranges: [100.0, 3937.4317070531474, 5000.0] data: - - [2.4999999999985287, 9.628563723021598e-15, -1.4423129357510334e-17, 7.111203555044388e-21, - -1.081468248287365e-24, 85474.52470343288, 3.659784206708707] - - [2.499999993394482, 7.0272581087493795e-12, -2.7749960501602356e-15, 4.81886544110849e-19, - -3.1045794407491553e-23, 85474.52470835333, 3.6597842472867588] + - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, + 3.793163699805646e-24, 85474.52470343211, 3.6597842066730095] + - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, + 1.0844882370603103e-21, 85474.52442196952, 3.659782093957159] note: 'Thermo library: primaryThermoLibrary' transport: {model: gas, geometry: atom, well-depth: 71.40020436655509, diameter: 3.2980000000000005, note: GRI-Mech} @@ -403,12 +409,12 @@ species: composition: {H: 2, C: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1009.8671367328868, 5000.0] + temperature-ranges: [100.0, 1009.8708057502912, 5000.0] data: - - [3.3040912347897615, 0.012502446003621081, -3.795055354192445e-06, -4.4633009808641336e-09, - 2.663225471130415e-12, 8782.035416515859, 7.197168970728035] - - [6.7124551454507815, 0.005148330500649028, -2.0007834627740915e-06, 3.788190799793496e-10, - -2.7409124748516927e-14, 7780.23551660169, -10.831376654084673] + - [3.304087973229727, 0.01250248485622879, -3.7951924250664015e-06, -4.463122728730499e-09, + 2.6631496728579284e-12, 8782.035556651996, 7.197180637326219] + - [6.712469069000979, 0.005148306955083985, -2.0007699389212864e-06, 3.78815894942322e-10, + -2.740886117401159e-14, 7780.2296193740285, -10.831455133638801] note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, rotational-relaxation: 2.0, note: GRI-Mech} @@ -416,12 +422,12 @@ species: composition: {H: 3, C: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 914.2195653125194, 5000.0] + temperature-ranges: [100.0, 914.2116020861831, 5000.0] data: - - [3.347148890024995, 0.0012878732026556307, 5.399642419215212e-05, -7.841121904676618e-08, - 3.240708687065647e-11, -2992.8440212693995, 8.9731019330448] - - [11.726154554803275, -0.001473691800042265, 2.907484426602473e-06, -5.970162857550277e-10, - 3.7029752558219025e-14, -5941.538943574109, -38.44712632255116] + - [3.347196840427565, 0.0012872740814258146, 5.399868121989472e-05, -7.841438689681067e-08, + 3.240855021277469e-11, -2992.8460602521013, 8.972932135895645] + - [11.726019036050477, -0.0014734544263003628, 2.9073446308875385e-06, -5.969827568656105e-10, + 3.702693978288885e-14, -5941.484167993394, -38.44636767007471] note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + group(Cds-CdsHH) + radical(C=COJ)' transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, @@ -430,12 +436,12 @@ species: composition: {H: 4, C: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 984.2016120728738, 5000.0] + temperature-ranges: [100.0, 984.197680603768, 5000.0] data: - - [3.7007802531138334, 0.0003879420044348043, 3.8692486968828104e-05, -4.5244175226526585e-08, - 1.588568911984255e-11, -21380.907966251474, 9.13565622207468] - - [4.588928731919886, 0.01288931344454544, -4.914985254816196e-06, 9.265000639719394e-10, - -6.710044287886815e-14, -22336.02926281222, 0.9008805816430335] + - [3.7007899203288224, 0.00038782542085882675, 3.8692905312513264e-05, -4.524473009262779e-08, + 1.5885930165726808e-11, -21380.908380185487, 9.13562173300882] + - [4.588891681956185, 0.012889376676989747, -4.915021813955812e-06, 9.26508715798075e-10, + -6.710116145936973e-14, -22336.013760155674, 0.9010890403489865] note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, rotational-relaxation: 2.0, note: GRI-Mech} @@ -443,12 +449,12 @@ species: composition: {H: 8, C: 3} thermo: model: NASA7 - temperature-ranges: [100.0, 986.5741824852131, 5000.0] + temperature-ranges: [100.0, 986.5783141978117, 5000.0] data: - - [3.052565931612535, 0.01250994052655728, 3.793862567309607e-05, -5.120220837447088e-08, - 1.8706492840834734e-11, -14454.176775999556, 10.067246001067637] - - [5.91316392026703, 0.021876253744009963, -8.176607701325125e-06, 1.4985452522965277e-09, - -1.0599135379428694e-13, -16038.878659602295, -8.865558390351929] + - [3.052552781024803, 0.0125100989428809, 3.7938058095217115e-05, -5.120145693587291e-08, + 1.8706167044773312e-11, -14454.176212770122, 10.067292928454926] + - [5.9132148512337706, 0.021876166894657482, -8.176557517977191e-06, 1.4985333815155727e-09, + -1.0599036819008721e-13, -16038.899994267074, -8.865844996334646] note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH)' transport: {model: gas, geometry: nonlinear, well-depth: 266.8010668626943, diameter: 4.982000000000001, diff --git a/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml index 7edfc6dba01..cc02d4340e6 100644 --- a/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml +++ b/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml @@ -1,7 +1,7 @@ generator: ck2yaml input-files: [chem_annotated.inp, tran.dat] cantera-version: 3.1.0 -date: Sun, 03 May 2026 13:46:02 -0400 +date: Mon, 11 May 2026 23:59:04 -0400 units: {length: cm, time: s, quantity: mol, activation-energy: kcal/mol} @@ -105,12 +105,12 @@ species: composition: {C: 2, H: 6} thermo: model: NASA7 - temperature-ranges: [100.0, 954.51, 5000.0] + temperature-ranges: [100.0, 954.52, 5000.0] data: - - [3.78034581, -3.24276167e-03, 5.52385408e-05, -6.38587747e-08, - 2.28639998e-11, -1.16203414e+04, 5.21029717] - - [4.58979531, 0.0141508366, -4.75965798e-06, 8.6030295e-10, - -6.21723882e-14, -1.27217507e+04, -3.61718919] + - [3.78032743, -3.24253681e-03, 5.52377174e-05, -6.38576566e-08, + 2.28635015e-11, -1.16203406e+04, 5.21036251] + - [4.58985736, 0.0141507296, -4.75959561e-06, 8.60288105e-10, + -6.21711501e-14, -1.27217763e+04, -3.61753754] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' transport: model: gas @@ -124,12 +124,12 @@ species: composition: {O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.43, 5000.0] + temperature-ranges: [100.0, 3937.43, 5000.0] data: - - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, - -1.08146825e-24, 2.92302441e+04, 5.12616427] - - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, - -3.10457944e-23, 2.92302441e+04, 5.12616431] + - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, + 3.7931637e-24, 2.92302441e+04, 5.12616427] + - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, + 1.08448824e-21, 2.92302438e+04, 5.12616216] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -144,10 +144,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1959.07, 5000.0] data: - - [3.43536403, 2.12711089e-04, -2.78626711e-07, 3.40268475e-10, - -7.76035238e-14, -1031.35984, -3.908417] - - [2.78817469, 5.87629433e-04, 1.59015805e-07, -5.52749841e-11, - 4.34318867e-15, -596.149496, 0.112680145] + - [3.43536395, 2.12711816e-04, -2.78628359e-07, 3.40269768e-10, + -7.76038439e-14, -1031.35983, -3.90841667] + - [2.78818343, 5.87618075e-04, 1.59021122e-07, -5.52760511e-11, + 4.34326644e-15, -596.154654, 0.112628324] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -162,12 +162,12 @@ species: composition: {H: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.43, 5000.0] + temperature-ranges: [100.0, 3937.43, 5000.0] data: - - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, - -1.08146825e-24, 2.54742178e+04, -0.444972896] - - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, - -3.10457944e-23, 2.54742178e+04, -0.444972856] + - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, + 3.7931637e-24, 2.54742178e+04, -0.444972896] + - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, + 1.08448824e-21, 2.54742175e+04, -0.444975009] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -182,10 +182,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1145.75, 5000.0] data: - - [3.51456803, 2.92774947e-05, -5.3216379e-07, 1.01949078e-09, - -3.85945369e-13, 3414.2542, 2.10434888] - - [3.07193989, 6.0401556e-04, -1.39782168e-08, -2.13446271e-11, - 2.48065798e-15, 3579.38673, 4.57799962] + - [3.51456804, 2.92774056e-05, -5.321635e-07, 1.01949044e-09, + -3.85945238e-13, 3414.2542, 2.10434885] + - [3.07193983, 6.04015655e-04, -1.39782691e-08, -2.13446151e-11, + 2.480657e-15, 3579.38675, 4.57799995] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -198,12 +198,12 @@ species: composition: {H: 1, O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 932.15, 5000.0] + temperature-ranges: [100.0, 932.16, 5000.0] data: - - [4.04594657, -1.73466881e-03, 1.037673e-05, -1.02203604e-08, - 3.34913497e-12, -986.754317, 4.63580691] - - [3.21023337, 3.67942896e-03, -1.27702102e-06, 2.18046526e-10, - -1.46338995e-14, -910.366376, 8.18294795] + - [4.04594317, -1.7346267e-03, 1.03765734e-05, -1.02201437e-08, + 3.34903651e-12, -986.754172, 4.63581899] + - [3.21024379, 3.67941084e-03, -1.2770104e-06, 2.18043988e-10, + -1.46336871e-14, -910.370624, 8.18288956] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' transport: @@ -218,12 +218,12 @@ species: composition: {O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1074.55, 5000.0] + temperature-ranges: [100.0, 1074.56, 5000.0] data: - - [3.53732305, -1.21572367e-03, 5.31622691e-06, -4.89449456e-09, - 1.45847479e-12, -1038.58852, 4.68367959] - - [3.15381735, 1.67804942e-03, -7.69977463e-07, 1.51276213e-10, - -1.0878303e-14, -1040.81578, 6.16757787] + - [3.53732171, -1.21570819e-03, 5.31617448e-06, -4.89442954e-09, + 1.45844853e-12, -1038.58846, 4.68368441] + - [3.15382478, 1.67803713e-03, -7.69970521e-07, 1.51274598e-10, + -1.08781705e-14, -1040.81902, 6.1675358] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -240,10 +240,10 @@ species: model: NASA7 temperature-ranges: [100.0, 908.86, 5000.0] data: - - [3.73136628, 3.35060601e-03, 9.35072049e-06, -1.521051e-08, - 6.41610704e-12, -1.77211712e+04, 5.45907911] - - [5.41576498, 2.61012017e-03, -4.39914899e-07, 4.91142548e-11, - -3.35234764e-15, -1.83029434e+04, -4.02235808] + - [3.73137614, 3.35048251e-03, 9.35118753e-06, -1.52111685e-08, + 6.4164127e-12, -1.77211716e+04, 5.45904423] + - [5.41573779, 2.6101679e-03, -4.39943044e-07, 4.9121012e-11, + -3.35291495e-15, -1.83029324e+04, -4.02220593] note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' transport: model: gas @@ -259,10 +259,10 @@ species: model: NASA7 temperature-ranges: [100.0, 926.5, 5000.0] data: - - [4.1148838, -3.61056223e-04, -6.34738425e-06, 1.05888309e-08, - -4.57059264e-12, 7.50838554e+04, 1.61269483] - - [2.33973158, 1.75858227e-03, -8.02917064e-07, 1.40457491e-10, - -8.47497084e-15, 7.56507515e+04, 11.3254514] + - [4.11488417, -3.61060826e-04, -6.34736706e-06, 1.0588807e-08, + -4.57058172e-12, 7.50838553e+04, 1.61269351] + - [2.33973048, 1.7585842e-03, -8.02918198e-07, 1.40457762e-10, + -8.47499355e-15, 7.56507519e+04, 11.3254576] note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' transport: model: gas @@ -275,12 +275,12 @@ species: composition: {C: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1571.63, 5000.0] + temperature-ranges: [100.0, 1571.64, 5000.0] data: - - [3.56838018, -8.52127575e-04, 2.48918313e-06, -1.56331527e-09, - 3.13596741e-13, -1.42842549e+04, 3.57912103] - - [2.91305833, 1.64659035e-03, -6.88621132e-07, 1.21038705e-10, - -7.84028344e-15, -1.41808802e+04, 6.71050618] + - [3.56838005, -8.52126267e-04, 2.4891797e-06, -1.56331209e-09, + 3.13595799e-13, -1.42842549e+04, 3.57912154] + - [2.91306263, 1.64658422e-03, -6.88618036e-07, 1.21038044e-10, + -7.84023278e-15, -1.41808824e+04, 6.71048116] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -295,12 +295,12 @@ species: composition: {C: 1, H: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1104.62, 5000.0] + temperature-ranges: [100.0, 1104.63, 5000.0] data: - - [4.01192384, -1.54978395e-04, 3.26297741e-06, -2.40421749e-09, - 5.69496542e-13, 4.58676802e+04, 0.533200629] - - [3.14983372, 2.96674285e-03, -9.76055999e-07, 1.54115317e-10, - -9.50338433e-15, 4.60581391e+04, 4.77807749] + - [4.01192382, -1.54978156e-04, 3.26297676e-06, -2.40421685e-09, + 5.69496337e-13, 4.58676802e+04, 0.53320072] + - [3.14983361, 2.96674306e-03, -9.76056125e-07, 1.54115348e-10, + -9.50338696e-15, 4.60581391e+04, 4.77807811] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -315,10 +315,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1565.71, 5000.0] data: - - [4.35602339, -3.47090244e-03, 1.25665002e-05, -9.99496788e-09, - 2.27891028e-12, 3995.77038, 2.75111522] - - [4.61855219, 5.04472757e-03, -4.39249038e-06, 9.73300021e-10, - -7.07449732e-14, 2787.56573, -2.22892654] + - [4.3560244, -3.47091221e-03, 1.25665259e-05, -9.99499181e-09, + 2.27891737e-12, 3995.77033, 2.75111143] + - [4.61852076, 5.04477249e-03, -4.39251309e-06, 9.73304874e-10, + -7.07453455e-14, 2787.58225, -2.2287435] note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' transport: model: gas @@ -331,12 +331,12 @@ species: composition: {C: 1, H: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 1442.35, 5000.0] + temperature-ranges: [100.0, 1442.36, 5000.0] data: - - [4.10264426, -1.44068935e-03, 5.45070452e-06, -3.58003554e-09, - 7.56197573e-13, 5.04005785e+04, -0.411767745] - - [2.62646195, 3.94764706e-03, -1.4992506e-06, 2.5454117e-10, - -1.62957407e-14, 5.06917593e+04, 6.78386057] + - [4.10264368, -1.44068351e-03, 5.45068829e-06, -3.58001947e-09, + 7.56192481e-13, 5.04005785e+04, -0.411765588] + - [2.62647403, 3.94762922e-03, -1.49924134e-06, 2.5453915e-10, + -1.62955832e-14, 5.06917532e+04, 6.7837907] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -349,12 +349,12 @@ species: composition: {C: 1, H: 3} thermo: model: NASA7 - temperature-ranges: [100.0, 1337.62, 5000.0] + temperature-ranges: [100.0, 1337.63, 5000.0] data: - - [3.91546855, 1.84153347e-03, 3.48744614e-06, -3.327506e-09, - 8.4996697e-13, 1.62856393e+04, 0.35173804] - - [3.54144382, 4.76788914e-03, -1.8214953e-06, 3.28879039e-10, - -2.22547534e-14, 1.62239645e+04, 1.66042831] + - [3.91546763, 1.84154304e-03, 3.48741815e-06, -3.32747665e-09, + 8.49957077e-13, 1.62856394e+04, 0.351741423] + - [3.54145722, 4.76786874e-03, -1.82148447e-06, 3.28876633e-10, + -2.22545631e-14, 1.6223958e+04, 1.66035119] note: 'Thermo library: primaryThermoLibrary + radical(CH3)' transport: model: gas @@ -369,10 +369,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1402.28, 5000.0] data: - - [4.32289669, -5.06327946e-03, 2.15155802e-05, -1.76521656e-08, - 4.31815827e-12, -1.42789565e+04, 2.39242264] - - [3.17993633, 9.55601269e-03, -6.27302845e-06, 1.33554819e-09, - -9.68412621e-14, -1.50752191e+04, 4.3108517] + - [4.32289375, -5.06324948e-03, 2.15154952e-05, -1.76520796e-08, + 4.31813038e-12, -1.42789564e+04, 2.39243355] + - [3.1799899, 9.55593266e-03, -6.27298655e-06, 1.33553899e-09, + -9.68405406e-14, -1.50752458e+04, 4.31054242] note: 'Thermo group additivity estimation: group(Cds-OdHH)' transport: model: gas @@ -388,10 +388,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1084.12, 5000.0] data: - - [4.20541325, -5.3555507e-03, 2.51122494e-05, -2.13761892e-08, - 5.97520127e-12, -1.01619432e+04, -0.92127211] - - [0.908277192, 0.0114540669, -4.57172762e-06, 8.29189195e-10, - -5.66312867e-14, -9719.97946, 13.9930295] + - [4.20541668, -5.35559025e-03, 2.51123825e-05, -2.13763532e-08, + 5.97526701e-12, -1.01619434e+04, -0.921284487] + - [0.9082574, 0.0114540995, -4.57174601e-06, 8.29193467e-10, + -5.66316365e-14, -9719.97079, 13.9931416] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -406,12 +406,12 @@ species: composition: {C: 1, O: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 988.89, 5000.0] + temperature-ranges: [100.0, 988.87, 5000.0] data: - - [3.27861396, 2.74149079e-03, 7.16085031e-06, -1.08028769e-08, - 4.1428828e-12, -4.84703146e+04, 5.97935566] - - [4.54608551, 2.91915053e-03, -1.15484744e-06, 2.27656089e-10, - -1.70911955e-14, -4.89803552e+04, -1.43268931] + - [3.27862297, 2.74138237e-03, 7.16123813e-06, -1.08033894e-08, + 4.14310458e-12, -4.8470315e+04, 5.9793235] + - [4.54605027, 2.91921056e-03, -1.1548821e-06, 2.27664285e-10, + -1.70918758e-14, -4.89803404e+04, -1.43249102] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) + group(Cdd-OdOd)' transport: @@ -427,12 +427,12 @@ species: composition: {C: 1, H: 3, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 895.01, 5000.0] + temperature-ranges: [100.0, 895.02, 5000.0] data: - - [3.71174788, 1.93104955e-03, 2.12342247e-05, -3.03158126e-08, - 1.24878212e-11, -4007.45954, 7.29199368] - - [6.0562988, 3.02173847e-03, 1.7209484e-08, -6.96273685e-11, - 5.18216423e-15, -4890.50553, -6.34765428] + - [3.71174025, 1.9311458e-03, 2.1233857e-05, -3.03152881e-08, + 1.24875746e-11, -4007.45922, 7.29202062] + - [6.05631855, 3.02170363e-03, 1.72301096e-08, -6.96323338e-11, + 5.18258193e-15, -4890.51343, -6.34776467] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(CsJOH)' transport: @@ -448,12 +448,12 @@ species: composition: {C: 1, H: 3, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 916.88, 5000.0] + temperature-ranges: [100.0, 916.9, 5000.0] data: - - [4.00135756, -4.15683599e-03, 3.26354326e-05, -3.71118106e-08, - 1.35709179e-11, -6.15257049, 6.81371404] - - [4.01622385, 6.26813207e-03, -1.58068048e-06, 2.44606571e-10, - -1.70337206e-14, -449.805468, 4.33879635] + - [4.00133275, -4.15652648e-03, 3.26342688e-05, -3.71101808e-08, + 1.35701669e-11, -6.15151549, 6.8138019] + - [4.01629481, 6.26800789e-03, -1.5806074e-06, 2.44589052e-10, + -1.70322515e-14, -449.834191, 4.33839899] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + radical(H3COJ)' transport: @@ -471,10 +471,10 @@ species: model: NASA7 temperature-ranges: [100.0, 952.14, 5000.0] data: - - [3.89496188, -7.71353403e-04, 2.64755162e-05, -2.91793631e-08, - 1.00834701e-11, -2.63358548e+04, 6.36475921] - - [3.1380783, 0.0103542064, -3.56957321e-06, 6.22286704e-10, - -4.27805568e-14, -2.65518956e+04, 8.08777794] + - [3.89496193, -7.71353989e-04, 2.64755184e-05, -2.91793661e-08, + 1.00834714e-11, -2.63358548e+04, 6.36475904] + - [3.13807814, 0.0103542067, -3.56957337e-06, 6.22286741e-10, + -4.27805599e-14, -2.65518955e+04, 8.08777881] note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' transport: model: gas @@ -490,10 +490,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1076.57, 5000.0] data: - - [3.03852842, 0.0115449446, -2.1326486e-05, 1.81933853e-08, - -5.41594365e-12, 6.63980141e+04, 5.96676387] - - [4.00847668, 2.06813253e-03, 6.05140392e-08, -1.17711432e-10, - 1.2928431e-14, 6.65295124e+04, 2.79643174] + - [3.03852608, 0.0115449717, -2.13265776e-05, 1.81934989e-08, + -5.41598942e-12, 6.63980142e+04, 5.96677231] + - [4.0084898, 2.06811085e-03, 6.05262841e-08, -1.1771428e-10, + 1.29286645e-14, 6.65295067e+04, 2.79635744] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' transport: @@ -508,12 +508,12 @@ species: composition: {C: 2, H: 2} thermo: model: NASA7 - temperature-ranges: [100.0, 888.62, 5000.0] + temperature-ranges: [100.0, 888.63, 5000.0] data: - - [3.03575852, 7.71224879e-03, 2.53547285e-06, -1.08140914e-08, - 5.50793884e-12, 2.58526439e+04, 4.54457355] - - [5.76201702, 2.37163751e-03, -1.49612163e-07, -2.19083643e-11, - 2.21719408e-15, 2.50944613e+04, -9.82592794] + - [3.03574154, 7.71246387e-03, 2.53464731e-06, -1.08129073e-08, + 5.50737874e-12, 2.58526446e+04, 4.5446335] + - [5.76205974, 2.37156193e-03, -1.49567346e-07, -2.19191668e-11, + 2.21810367e-15, 2.50944442e+04, -9.82616666] note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' transport: model: gas @@ -527,12 +527,12 @@ species: composition: {C: 2, H: 1, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 936.07, 5000.0] + temperature-ranges: [100.0, 936.06, 5000.0] data: - - [3.4564722, 0.0105728707, -7.35997931e-06, 7.97486586e-10, - 8.64478893e-13, 2.25956881e+04, 7.0949663] - - [5.99810699, 3.14479413e-03, -9.57800744e-07, 1.55621067e-10, - -1.04308274e-14, 2.19694638e+04, -5.80237178] + - [3.45647418, 0.0105728462, -7.35988853e-06, 7.97361462e-10, + 8.64535566e-13, 2.2595688e+04, 7.09495926] + - [5.99810082, 3.14480485e-03, -9.57807019e-07, 1.55622566e-10, + -1.04309528e-14, 2.19694663e+04, -5.80233718] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d) + radical(Cds_P)' transport: @@ -547,12 +547,12 @@ species: composition: {C: 2, H: 3} thermo: model: NASA7 - temperature-ranges: [100.0, 931.99, 5000.0] + temperature-ranges: [100.0, 931.96, 5000.0] data: - - [3.90664144, -4.06161805e-03, 3.86750556e-05, -4.62935629e-08, - 1.72881849e-11, 3.4797181e+04, 6.09811683] - - [5.44816135, 4.98322063e-03, -1.08800803e-06, 1.7978957e-10, - -1.45056338e-14, 3.38296948e+04, -4.87918004] + - [3.90670522, -4.06240761e-03, 3.86779927e-05, -4.62976249e-08, + 1.72900314e-11, 3.47971783e+04, 6.09789055] + - [5.44796624, 4.98356009e-03, -1.08820699e-06, 1.79837127e-10, + -1.45096133e-14, 3.38297743e+04, -4.87808642] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P)' transport: @@ -567,12 +567,12 @@ species: composition: {C: 2, H: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 956.66, 5000.0] + temperature-ranges: [100.0, 956.67, 5000.0] data: - - [3.52749371, 7.08332357e-03, 9.17849516e-06, -1.6427296e-08, - 6.71199378e-12, -7123.94295, 5.74368683] - - [5.76484386, 5.96577584e-03, -1.98497203e-06, 3.52770109e-10, - -2.51640774e-14, -7928.9566, -6.92117326] + - [3.52748041, 7.08348624e-03, 9.17790038e-06, -1.64264897e-08, + 6.71163515e-12, -7123.94238, 5.74373417] + - [5.7648892, 5.96569767e-03, -1.9849265e-06, 3.5275928e-10, + -2.51631744e-14, -7928.97532, -6.92142789] note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) + missing(Cdd-CdO2d)' transport: @@ -587,12 +587,12 @@ species: composition: {C: 2, H: 4} thermo: model: NASA7 - temperature-ranges: [100.0, 940.44, 5000.0] + temperature-ranges: [100.0, 940.42, 5000.0] data: - - [3.97976108, -7.57580438e-03, 5.52980834e-05, -6.36232121e-08, - 2.31771904e-11, 5077.46015, 4.04616842] - - [5.20294093, 7.82451648e-03, -2.12688775e-06, 3.79703355e-10, - -2.94681413e-14, 3936.30299, -6.62381218] + - [3.9798415, -7.5767957e-03, 5.5301749e-05, -6.36282467e-08, + 2.3179462e-11, 5077.45672, 4.04588282] + - [5.2026856, 7.82495932e-03, -2.12714674e-06, 3.79765159e-10, + -2.94733066e-14, 3936.40756, -6.62238004] note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' transport: model: gas @@ -608,10 +608,10 @@ species: model: NASA7 temperature-ranges: [100.0, 900.31, 5000.0] data: - - [3.82183669, -3.43361377e-03, 5.09257656e-05, -6.20212162e-08, - 2.37073603e-11, 1.30660129e+04, 7.61643111] - - [5.1562072, 9.43122823e-03, -1.81946146e-06, 2.21196126e-10, - -1.43481595e-14, 1.20640832e+04, -2.91097765] + - [3.82183627, -3.43360854e-03, 5.09257457e-05, -6.20211879e-08, + 2.37073471e-11, 1.30660129e+04, 7.61643258] + - [5.15620831, 9.43122628e-03, -1.81946031e-06, 2.21195849e-10, + -1.43481362e-14, 1.20640828e+04, -2.91098384] note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ)' transport: @@ -626,12 +626,12 @@ species: composition: {H: 2, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 1130.24, 5000.0] + temperature-ranges: [100.0, 1130.23, 5000.0] data: - - [4.05763619, -7.8793987e-04, 2.90878807e-06, -1.47520429e-09, - 2.12849017e-13, -3.02815867e+04, -0.311365347] - - [2.84324805, 2.75108937e-03, -7.81033671e-07, 1.07244143e-10, - -5.79396342e-15, -2.99586117e+04, 5.91043358] + - [4.05763503, -7.87926826e-04, 2.90874536e-06, -1.47515334e-09, + 2.12829286e-13, -3.02815866e+04, -0.311361165] + - [2.84325601, 2.75107645e-03, -7.81026468e-07, 1.07242484e-10, + -5.79382842e-15, -2.99586153e+04, 5.91038834] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -646,12 +646,12 @@ species: composition: {C: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 3381.43, 5000.0] + temperature-ranges: [100.0, 3937.43, 5000.0] data: - - [2.5, 9.62856372e-15, -1.44231294e-17, 7.11120356e-21, - -1.08146825e-24, 8.54745247e+04, 3.65978421] - - [2.49999999, 7.02725811e-12, -2.77499605e-15, 4.81886544e-19, - -3.10457944e-23, 8.54745247e+04, 3.65978425] + - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, + 3.7931637e-24, 8.54745247e+04, 3.65978421] + - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, + 1.08448824e-21, 8.54745244e+04, 3.65978209] note: 'Thermo library: primaryThermoLibrary' transport: model: gas @@ -666,10 +666,10 @@ species: model: NASA7 temperature-ranges: [100.0, 1009.87, 5000.0] data: - - [3.30409123, 0.012502446, -3.79505535e-06, -4.46330098e-09, - 2.66322547e-12, 8782.03542, 7.19716897] - - [6.71245515, 5.1483305e-03, -2.00078346e-06, 3.7881908e-10, - -2.74091247e-14, 7780.23552, -10.8313767] + - [3.30408797, 0.0125024849, -3.79519243e-06, -4.46312273e-09, + 2.66314967e-12, 8782.03556, 7.19718064] + - [6.71246907, 5.14830696e-03, -2.00076994e-06, 3.78815895e-10, + -2.74088612e-14, 7780.22962, -10.8314551] note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' transport: @@ -684,12 +684,12 @@ species: composition: {C: 2, H: 3, O: 1} thermo: model: NASA7 - temperature-ranges: [100.0, 914.22, 5000.0] + temperature-ranges: [100.0, 914.21, 5000.0] data: - - [3.34714889, 1.2878732e-03, 5.39964242e-05, -7.8411219e-08, - 3.24070869e-11, -2992.84402, 8.97310193] - - [11.7261546, -1.4736918e-03, 2.90748443e-06, -5.97016286e-10, - 3.70297526e-14, -5941.53894, -38.4471263] + - [3.34719684, 1.28727408e-03, 5.39986812e-05, -7.84143869e-08, + 3.24085502e-11, -2992.84606, 8.97293214] + - [11.726019, -1.47345443e-03, 2.90734463e-06, -5.96982757e-10, + 3.70269398e-14, -5941.48417, -38.4463677] note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) + group(Cds-CdsHH) + radical(C=COJ)' transport: @@ -706,10 +706,10 @@ species: model: NASA7 temperature-ranges: [100.0, 984.2, 5000.0] data: - - [3.70078025, 3.87942004e-04, 3.8692487e-05, -4.52441752e-08, - 1.58856891e-11, -2.1380908e+04, 9.13565622] - - [4.58892873, 0.0128893134, -4.91498525e-06, 9.26500064e-10, - -6.71004429e-14, -2.23360293e+04, 0.900880582] + - [3.70078992, 3.87825421e-04, 3.86929053e-05, -4.52447301e-08, + 1.58859302e-11, -2.13809084e+04, 9.13562173] + - [4.58889168, 0.0128893767, -4.91502181e-06, 9.26508716e-10, + -6.71011615e-14, -2.23360138e+04, 0.90108904] note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' transport: @@ -724,12 +724,12 @@ species: composition: {C: 3, H: 8} thermo: model: NASA7 - temperature-ranges: [100.0, 986.57, 5000.0] + temperature-ranges: [100.0, 986.58, 5000.0] data: - - [3.05256593, 0.0125099405, 3.79386257e-05, -5.12022084e-08, - 1.87064928e-11, -1.44541768e+04, 10.067246] - - [5.91316392, 0.0218762537, -8.1766077e-06, 1.49854525e-09, - -1.05991354e-13, -1.60388787e+04, -8.86555839] + - [3.05255278, 0.0125100989, 3.79380581e-05, -5.12014569e-08, + 1.8706167e-11, -1.44541762e+04, 10.0672929] + - [5.91321485, 0.0218761669, -8.17655752e-06, 1.49853338e-09, + -1.05990368e-13, -1.60389e+04, -8.865845] note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH)' transport: @@ -1777,7 +1777,7 @@ reactions: - equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 type: three-body rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} - efficiencies: {CO2(17): 3.6, ethane(1): 3.0, CH4(16): 2.0, H2O(28): + efficiencies: {CO2(17): 3.6, CH4(16): 2.0, ethane(1): 3.0, H2O(28): 15.4, H2(3): 2.4, Ar: 0.83} note: | Reaction index: Chemkin #173; RMG #170 From ed8efc915b34758cbd937d2bf77a0ddca4f1b46a Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 13 May 2026 09:18:06 -0400 Subject: [PATCH 577/700] remove committed golden YAML files; gitignore from_main_test.yaml These files are generated on the fly by running the mainTest functional test. Committing them bakes in machine-specific paths and database-version-dependent thermo coefficients that drift over time. The comparison test already skips gracefully when the files are absent, so CI is unaffected. Co-Authored-By: Claude Sonnet 4.6 --- .../test_data/yaml_writer_data/.gitignore | 1 + .../cantera1/from_main_test.yaml | 1324 ---------- .../cantera2/from_main_test.yaml | 1255 ---------- .../ck2yaml/from_main_test.yaml | 2151 ----------------- 4 files changed, 1 insertion(+), 4730 deletions(-) create mode 100644 test/rmgpy/test_data/yaml_writer_data/.gitignore delete mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml delete mode 100644 test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/.gitignore b/test/rmgpy/test_data/yaml_writer_data/.gitignore new file mode 100644 index 00000000000..7acff224a27 --- /dev/null +++ b/test/rmgpy/test_data/yaml_writer_data/.gitignore @@ -0,0 +1 @@ +from_main_test.yaml diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml deleted file mode 100644 index a77715a5985..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/cantera1/from_main_test.yaml +++ /dev/null @@ -1,1324 +0,0 @@ -generator: "RMG-Py CanteraWriter1 at /Users/daniellelucey/RMG-Py/rmgpy/yaml_cantera1.py (git commit: 063b6b0)" -date: Mon, 11 May 2026 23:59:04 - -units: {length: m, time: s, quantity: kmol, activation-energy: J/kmol} - - -phases: -- name: gas - thermo: ideal-gas - elements: [H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, CI, OI, X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: D - atomic-weight: 2.014102 -- symbol: T - atomic-weight: 3.016049 -- symbol: CI - atomic-weight: 13.003354 -- symbol: OI - atomic-weight: 17.999159 -- symbol: X - atomic-weight: 195.083 - -species: -- name: ethane(1) - composition: {C: 2.0, H: 6.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 954.5165316630638, 5000.0] - data: - - [3.7803274333291164, -0.003242536810039668, 5.523771743952032e-05, -6.385765657832756e-08, - 2.286350154835937e-11, -11620.34056878642, 5.2103625138745535] - - [4.589857356655155, 0.01415072957994417, -4.759595608783751e-06, 8.602881051327119e-10, - -6.21711500823632e-14, -12721.776270468992, -3.617537540469888] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' - transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: O(2) - composition: {O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 29230.24412855015, 5.126164272659162] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 29230.243847087564, 5.126162159943312] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: H2(3) - composition: {H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1959.0704060489752, 5000.0] - data: - - [3.4353639487680128, 0.0002127118156028557, -2.7862835897145624e-07, 3.402697677898988e-10, - -7.760384389606823e-14, -1031.3598307378923, -3.9084166738022317] - - [2.788183431931728, 0.0005876180754751174, 1.5902112168376917e-07, -5.527605114100645e-11, - 4.343266442811977e-15, -596.1546540947348, 0.11262832427188434] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, diameter: 2.9200000000000004, well-depth: 38.00012796964137, - polarizability: 0.7900000000000005, rotational-relaxation: 280.0, note: GRI-Mech} -- name: H(4) - composition: {H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 25474.217768728387, -0.4449728963637201] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 25474.2174872658, -0.4449750090795722] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 2.0500000000000003, well-depth: 145.00018762466215, - note: GRI-Mech} -- name: OH(5) - composition: {H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1145.7521011170168, 5000.0] - data: - - [3.514568038834053, 2.9277405618225407e-05, -5.32163500292442e-07, 1.0194904372190674e-09, - -3.859452377917145e-13, 3414.25419726746, 2.104348847447872] - - [3.071939833652634, 0.0006040156545295, -1.3978269107817313e-08, -2.1344615084426844e-11, - 2.4806570047627186e-15, 3579.3867548969656, 4.577999949781534] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: HO2(6) - composition: {H: 1.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 932.1587116923824, 5000.0] - data: - - [4.045943172132462, -0.001734626698454687, 1.0376573386756708e-05, -1.0220143747577855e-08, - 3.3490365122259157e-12, -986.754171996653, 4.635818986467584] - - [3.210243785202328, 0.0036794108355443496, -1.2770104000866958e-06, 2.1804398774112111e-10, - -1.4633687091481033e-14, -910.3706242716864, 8.182889562642405] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' - transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: O2(7) - composition: {O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1074.5559874666221, 5000.0] - data: - - [3.5373217113695397, -0.0012157081866178787, 5.3161744753665525e-06, -4.894429543084893e-09, - 1.4584485293487145e-12, -1038.5884568564704, 4.6836844075736] - - [3.1538247849326697, 0.001678037130877558, -7.699705205295331e-07, 1.5127459750571054e-10, - -1.0878170489110307e-14, -1040.8190172537113, 6.167535803814269] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} -- name: H2O2(8) - composition: {H: 2.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 908.8554823511466, 5000.0] - data: - - [3.73137614050705, 0.003350482514942175, 9.351187533876275e-06, -1.5211168513411492e-08, - 6.416412701320585e-12, -17721.171582843155, 5.459044225733844] - - [5.415737793495593, 0.0026101678952029977, -4.399430439107962e-07, 4.912101201717723e-11, - -3.3529149506348695e-15, -18302.932441143923, -4.022205933495868] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.4580000000000015, well-depth: 107.40032560095216, - rotational-relaxation: 3.8, note: GRI-Mech} -- name: CH(9) - composition: {C: 1.0, H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 926.5000868614704, 5000.0] - data: - - [4.114884169085687, -0.0003610608257374108, -6.347367058134333e-06, 1.0588806976351849e-08, - -4.570581724984619e-12, 75083.85534754528, 1.612693511378359] - - [2.3397304757095996, 0.0017585841964054565, -8.029181981027698e-07, 1.4045776206801416e-10, - -8.474993553681503e-15, 75650.7519481187, 11.325457559946967] - note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' - transport: {model: gas, geometry: linear, diameter: 2.7500000000000004, well-depth: 80.00026940977129, - note: GRI-Mech} -- name: CO(10) - composition: {C: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1571.635577343377, 5000.0] - data: - - [3.5683800484025916, -0.0008521262670226395, 2.4891796966658126e-06, -1.5633120860143723e-09, - 3.135957994412226e-13, -14284.2549422392, 3.579121538053434] - - [2.9130626306424436, 0.0016465842199386833, -6.886180363700936e-07, 1.2103804382683996e-10, - -7.840232784477964e-15, -14180.882416118407, 6.710481156838912] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, diameter: 3.6500000000000004, well-depth: 98.10027624123336, - polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} -- name: CH2(11) - composition: {C: 1.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1104.6267239631795, 5000.0] - data: - - [4.0119238173266885, -0.00015497815596776285, 3.262976760818217e-06, -2.4042168549424923e-09, - 5.694963373961063e-13, 45867.680222863884, 0.5332007195283763] - - [3.149833606344721, 0.0029667430594348385, -9.760561249263692e-07, 1.5411534787212476e-10, - -9.503386955575038e-15, 46058.13913461232, 4.778078110804035] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: HCO(12) - composition: {C: 1.0, H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1565.7120792018852, 5000.0] - data: - - [4.356024400619503, -0.003470912211025233, 1.2566525897003503e-05, -9.994991807684093e-09, - 2.278917370374692e-12, 3995.7703318779218, 2.751111427914028] - - [4.618520755148811, 0.005044772485178862, -4.392513089795063e-06, 9.733048740473051e-10, - -7.074534554082162e-14, 2787.582246997859, -2.2287435033652683] - note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' - transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, - note: GRI-Mech} -- name: CH2(S)(13) - composition: {C: 1.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1442.3580101782086, 5000.0] - data: - - [4.102643682622427, -0.0014406835121726618, 5.450688287473449e-06, -3.5800194681993524e-09, - 7.561924806653407e-13, 50400.57849602855, -0.4117655884033766] - - [2.6264740273422635, 0.003947629223585963, -1.4992413415313327e-06, 2.545391499915196e-10, - -1.629558318782858e-14, 50691.75316398369, 6.783790698934837] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: CH3(14) - composition: {C: 1.0, H: 3.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1337.627303178629, 5000.0] - data: - - [3.915467627996589, 0.001841543038966437, 3.4874181471700314e-06, -3.327476648677652e-09, - 8.499570768410386e-13, 16285.639371722482, 0.3517414228537716] - - [3.5414572225301972, 0.004767868738173273, -1.8214844677356902e-06, 3.2887663334895645e-10, - -2.2254563074621602e-14, 16223.958038756007, 1.660351193289797] - note: 'Thermo library: primaryThermoLibrary + radical(CH3)' - transport: {model: gas, geometry: nonlinear, diameter: 3.8, well-depth: 144.00072548202698, - note: GRI-Mech} -- name: CH2O(15) - composition: {C: 1.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1402.2848955097152, 5000.0] - data: - - [4.322893745207224, -0.005063249479937248, 2.1515495168109833e-05, -1.76520795881397e-08, - 4.3181303801961645e-12, -14278.956366088585, 2.3924335479025562] - - [3.1799898971516543, 0.00955593266295388, -6.272986551368634e-06, 1.3355389892308e-09, - -9.68405406001952e-14, -15075.245773494298, 4.310542416920189] - note: 'Thermo group additivity estimation: group(Cds-OdHH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.590000000000001, well-depth: 498.001556803607, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH4(16) - composition: {C: 1.0, H: 4.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1084.1178897101286, 5000.0] - data: - - [4.205416684633066, -0.005355590254627177, 2.511238250111796e-05, -2.137635320163276e-08, - 5.9752670131915595e-12, -10161.943368029231, -0.9212844871470729] - - [0.9082573996547298, 0.011454099528933412, -4.571746006222714e-06, 8.291934667300837e-10, - -5.66316365457203e-14, -9719.970790335326, 13.993141571614126] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, diameter: 3.746000000000001, well-depth: 141.400440100105, - polarizability: 2.600000000000002, rotational-relaxation: 13.0, note: GRI-Mech} -- name: CO2(17) - composition: {C: 1.0, O: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 988.874846895476, 5000.0] - data: - - [3.278622967759262, 0.002741382373989827, 7.161238132337091e-06, -1.0803389384388666e-08, - 4.1431045806313505e-12, -48470.314952383545, 5.979323504737395] - - [4.546050274062975, 0.002919210558291122, -1.1548821046550818e-06, 2.276642852647346e-10, - -1.7091875765043676e-14, -48980.34041889094, -1.4324910236617816] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) - + group(Cdd-OdOd)' - transport: {model: gas, geometry: linear, diameter: 3.763, well-depth: 244.00106224424113, - polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} -- name: CH2OH(18) - composition: {C: 1.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 895.0163946403012, 5000.0] - data: - - [3.711740249971209, 0.0019311457977334778, 2.123385699735588e-05, -3.031528812969471e-08, - 1.2487574647076677e-11, -4007.4592181376324, 7.292020622080347] - - [6.056318547324978, 0.0030217036257262145, 1.723010962975875e-08, -6.963233382451129e-11, - 5.182581927964743e-15, -4890.513428418116, -6.34776466810346] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + - radical(CsJOH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3O(19) - composition: {C: 1.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 916.8968434206298, 5000.0] - data: - - [4.0013327502495155, -0.004156526476422401, 3.263426883212575e-05, -3.7110180766619686e-08, - 1.3570166892492088e-11, -6.151515491093088, 6.8138019013791435] - - [4.016294811471149, 0.006268007893365234, -1.5806074006739916e-06, 2.445890523709642e-10, - -1.70322515470223e-14, -449.83419135504226, 4.338398992219582] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + - radical(H3COJ)' - transport: {model: gas, geometry: nonlinear, diameter: 3.6900000000000013, well-depth: 417.00182525120056, - dipole: 1.7000000000000002, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3OH(20) - composition: {C: 1.0, H: 4.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 952.1389545704913, 5000.0] - data: - - [3.8949619311009682, -0.0007713539892289695, 2.6475518384892784e-05, -2.917936605714971e-08, - 1.0083471431111355e-11, -26335.854771452, 6.364759035632583] - - [3.138078144441756, 0.010354206693580961, -3.5695733697248403e-06, 6.222867410402885e-10, - -4.278055990314069e-14, -26551.895548904657, 8.087778812494083] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.626000000000001, well-depth: 481.802091582003, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H(21) - composition: {C: 2.0, H: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1076.5707431623787, 5000.0] - data: - - [3.038526076764681, 0.011544971712654409, -2.1326577630156857e-05, 1.8193498854298534e-08, - -5.415989423373292e-12, 66398.01423981925, 5.966772314365718] - - [4.0084898009954175, 0.0020681108532139827, 6.052628413041129e-08, -1.1771428006220733e-10, - 1.2928664540905204e-14, 66529.5066627588, 2.796357444487442] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' - transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: C2H2(22) - composition: {C: 2.0, H: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 888.6312703495089, 5000.0] - data: - - [3.035741541159452, 0.007712463869898586, 2.5346473132966697e-06, -1.0812907257939146e-08, - 5.507378740942841e-12, 25852.644572333335, 4.544633504234925] - - [5.762059744831072, 0.002371561933486471, -1.495673463818596e-07, -2.1919166811126934e-11, - 2.218103671549502e-15, 25094.44423800569, -9.826166661316744] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' - transport: {model: gas, geometry: linear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: HCCO(23) - composition: {C: 2.0, H: 1.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 936.0638710543434, 5000.0] - data: - - [3.4564741766825713, 0.010572846175575629, -7.359888529672018e-06, 7.973614621605504e-10, - 8.64535565921129e-13, 22595.687980009596, 7.094959264554976] - - [5.998100816612723, 0.0031448048531052264, -9.578070191018402e-07, 1.5562256617433557e-10, - -1.0430952759847218e-14, 21969.466304795515, -5.802337182407708] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d) + radical(Cds_P)' - transport: {model: gas, geometry: nonlinear, diameter: 2.5000000000000013, well-depth: 150.00110650441783, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H3(24) - composition: {C: 2.0, H: 3.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 931.9620386849122, 5000.0] - data: - - [3.9067052224888306, -0.004062407608381454, 3.867799265691756e-05, -4.629762490027485e-08, - 1.729003139946922e-11, 34797.178267497635, 6.097890545879522] - - [5.447966243943666, 0.004983560085949153, -1.0882069947704135e-06, 1.798371274522559e-10, - -1.4509613313229812e-14, 33829.77433382413, -4.878086417352228] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) - + radical(Cds_P)' - transport: {model: gas, geometry: nonlinear, diameter: 4.1000000000000005, well-depth: 209.00064369691785, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: CH2CO(25) - composition: {C: 2.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 956.6689491705725, 5000.0] - data: - - [3.5274804055011524, 0.007083486242205215, 9.177900378006544e-06, -1.6426489708137257e-08, - 6.711635150789706e-12, -7123.942382209249, 5.743734168371629] - - [5.764889204717002, 0.005965697671832553, -1.9849265041966017e-06, 3.5275927958549083e-10, - -2.5163174396771523e-14, -7928.975322079587, -6.92142788806353] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d)' - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C2H4(26) - composition: {C: 2.0, H: 4.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 940.418247087086, 5000.0] - data: - - [3.9798415026745158, -0.007576795695064226, 5.5301749021260425e-05, -6.36282467356439e-08, - 2.3179461952714415e-11, 5077.456720344708, 4.0458828180531095] - - [5.202685599067635, 0.00782495932129625, -2.127146740857326e-06, 3.797651593095124e-10, - -2.9473306602423246e-14, 3936.4075648915114, -6.622380040353341] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.9710000000000005, well-depth: 280.80075319274636, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: C2H5(27) - composition: {C: 2.0, H: 5.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 900.3134894489242, 5000.0] - data: - - [3.821836273781996, -0.0034336085398177577, 5.0925745698192944e-05, -6.202118789954702e-08, - 2.3707347111588728e-11, 13066.012891898954, 7.61643257724655] - - [5.156208306185573, 0.009431226276708927, -1.8194603109290526e-06, 2.2119584928108884e-10, - -1.434813619419196e-14, 12064.082793230154, -2.910983837429268] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + - radical(CCJ)' - transport: {model: gas, geometry: nonlinear, diameter: 4.3020000000000005, well-depth: 252.30104810022812, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: H2O(28) - composition: {H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1130.229527376887, 5000.0] - data: - - [4.0576350324382435, -0.0007879268259766038, 2.908745359555667e-06, -1.4751533432712154e-09, - 2.128292857644156e-13, -30281.58660142529, -0.31136116480217385] - - [2.8432560092133228, 0.0027510764450291783, -7.81026468417208e-07, 1.072424842465603e-10, - -5.79382842272479e-15, -29958.615252484073, 5.910388340788128] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, diameter: 2.6050000000000004, well-depth: 572.4019516813576, - dipole: 1.8439999999999999, rotational-relaxation: 4.0, note: GRI-Mech} -- name: C(29) - composition: {C: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 85474.52470343211, 3.6597842066730095] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 85474.52442196952, 3.659782093957159] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 3.2980000000000005, well-depth: 71.40020436655509, - note: GRI-Mech} -- name: HCCOH(30) - composition: {C: 2.0, H: 2.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 1009.8708057502912, 5000.0] - data: - - [3.304087973229727, 0.01250248485622879, -3.7951924250664015e-06, -4.463122728730499e-09, - 2.6631496728579284e-12, 8782.035556651996, 7.197180637326219] - - [6.712469069000979, 0.005148306955083985, -2.0007699389212864e-06, 3.78815894942322e-10, - -2.740886117401159e-14, 7780.2296193740285, -10.831455133638801] - note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH2CHO(31) - composition: {C: 2.0, H: 3.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 914.2116020861831, 5000.0] - data: - - [3.347196840427565, 0.0012872740814258146, 5.399868121989472e-05, -7.841438689681067e-08, - 3.240855021277469e-11, -2992.8460602521013, 8.972932135895645] - - [11.726019036050477, -0.0014734544263003628, 2.9073446308875385e-06, -5.969827568656105e-10, - 3.702693978288885e-14, -5941.484167993394, -38.44636767007471] - note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) - + group(Cds-CdsHH) + radical(C=COJ)' - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3CHO(32) - composition: {C: 2.0, H: 4.0, O: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 984.197680603768, 5000.0] - data: - - [3.7007899203288224, 0.00038782542085882675, 3.8692905312513264e-05, -4.524473009262779e-08, - 1.5885930165726808e-11, -21380.908380185487, 9.13562173300882] - - [4.588891681956185, 0.012889376676989747, -4.915021813955812e-06, 9.26508715798075e-10, - -6.710116145936973e-14, -22336.013760155674, 0.9010890403489865] - note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' - transport: {model: gas, geometry: nonlinear, diameter: 3.9700000000000006, well-depth: 436.0012277388149, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C3H8(33) - composition: {C: 3.0, H: 8.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [100.0, 986.5783141978117, 5000.0] - data: - - [3.052552781024803, 0.0125100989428809, 3.7938058095217115e-05, -5.120145693587291e-08, - 1.8706167044773312e-11, -14454.176212770122, 10.067292928454926] - - [5.9132148512337706, 0.021876166894657482, -8.176557517977191e-06, 1.4985333815155727e-09, - -1.0599036819008721e-13, -16038.899994267074, -8.865844996334646] - note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) - + group(Cs-CsHHH)' - transport: {model: gas, geometry: nonlinear, diameter: 4.982000000000001, well-depth: 266.8010668626943, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: N2 - composition: {N: 2.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] - - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, diameter: 3.6210000000000013, well-depth: 97.53030619382686, - polarizability: 1.7600000000000011, rotational-relaxation: 4.0, note: GRI-Mech} -- name: Ar - composition: {Ar: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 3.3300000000000005, well-depth: 136.50054988458677, - note: GRI-Mech} -- name: He - composition: {He: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 2.5760000000000005, well-depth: 10.2, - note: NOx2018} -- name: Ne - composition: {Ne: 1.0} - thermo: - model: NASA7 - reference-pressure: 10000.0 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, diameter: 3.7580000000000005, well-depth: 148.6, - note: Epsilon & sigma estimated with fixed Lennard Jones Parameters. This is the - fallback method! Try improving transport databases!} -reactions: -- equation: H2(3) + O(2) <=> H(4) + OH(5) - rate-constant: {A: 38.7, b: 2.7, Ea: 26191840.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HO2(6) + O(2) <=> O2(7) + OH(5) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H2O2(8) + O(2) <=> HO2(6) + OH(5) - rate-constant: {A: 9630.0, b: 2.0, Ea: 16736000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + O(2) <=> CO(10) + H(4) - rate-constant: {A: 57000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 80000000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + O(2) <=> CO(10) + H2(3) - rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + O(2) <=> H(4) + HCO(12) - rate-constant: {A: 15000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + O(2) <=> CH2O(15) + H(4) - rate-constant: {A: 50600000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH4(16) + O(2) <=> CH3(14) + OH(5) - rate-constant: {A: 1020000.0000000001, b: 1.5, Ea: 35982400.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + O(2) <=> CO(10) + OH(5) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + O(2) <=> CO2(17) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + O(2) <=> HCO(12) + OH(5) - rate-constant: {A: 39000000000.00001, b: 0.0, Ea: 14811360.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + O(2) <=> CH2O(15) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + O(2) <=> CH2OH(18) + OH(5) - rate-constant: {A: 388.00000000000006, b: 2.5, Ea: 12970400.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + O(2) <=> CH3O(19) + OH(5) - rate-constant: {A: 130.00000000000003, b: 2.5, Ea: 20920000.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H(21) + O(2) <=> CH(9) + CO(10) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + O(2) <=> H(4) + HCCO(23) - rate-constant: {A: 13500.000000000002, b: 2.0, Ea: 7949600.000000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + O(2) <=> C2H(21) + OH(5) - rate-constant: {A: 4.600000000000001e+16, b: -1.41, Ea: 121126800.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + O(2) <=> CH2(11) + CO(10) - rate-constant: {A: 6940.000000000001, b: 2.0, Ea: 7949600.000000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + O(2) <=> CH2CO(25) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + O(2) <=> CH3(14) + HCO(12) - rate-constant: {A: 12500.000000000002, b: 1.83, Ea: 920480.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + O(2) <=> CH2O(15) + CH3(14) - rate-constant: {A: 22400000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: O(2) + ethane(1) <=> C2H5(27) + OH(5) - rate-constant: {A: 89800.00000000001, b: 1.92, Ea: 23806960.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCCO(23) + O(2) <=> 2 CO(10) + H(4) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + O(2) <=> HCCO(23) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 33472000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + O(2) <=> CH2(11) + CO2(17) - rate-constant: {A: 1750000000.0000002, b: 0.0, Ea: 5648400.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CO(10) + O2(7) <=> CO2(17) + O(2) - rate-constant: {A: 2500000000.0000005, b: 0.0, Ea: 199995200.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + O2(7) <=> HCO(12) + HO2(6) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 167360000.00000003} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + O2(7) + O2(7) <=> HO2(6) + O2(7) - rate-constant: {A: 20800000000000.004, b: -1.24, Ea: 0.0} - efficiencies: {O2(7): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + O2(7) + H2O(28) <=> HO2(6) + H2O(28) - rate-constant: {A: 11260000000000.002, b: -0.76, Ea: 0.0} - efficiencies: {H2O(28): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + O2(7) <=> O(2) + OH(5) - rate-constant: {A: 26500000000000.004, b: -0.6707, Ea: 71299544.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + H2(3) <=> H2(3) + H2(3) - rate-constant: {A: 90000000000.00002, b: -0.6, Ea: 0.0} - efficiencies: {H2(3): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + H2O(28) <=> H2(3) + H2O(28) - rate-constant: {A: 60000000000000.01, b: -1.25, Ea: 0.0} - efficiencies: {H2O(28): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + CO2(17) <=> H2(3) + CO2(17) - rate-constant: {A: 550000000000000.1, b: -2.0, Ea: 0.0} - efficiencies: {CO2(17): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> H2O(28) + O(2) - rate-constant: {A: 3970000000.0000005, b: 0.0, Ea: 2807464.0000000005} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> H2(3) + O2(7) - rate-constant: {A: 44800000000.00001, b: 0.0, Ea: 4468512.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> 2 OH(5) - rate-constant: {A: 84000000000.00002, b: 0.0, Ea: 2656840.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + H2O2(8) <=> H2(3) + HO2(6) - rate-constant: {A: 12100.000000000002, b: 2.0, Ea: 21756800.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + H2O2(8) <=> H2O(28) + OH(5) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 15062400.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + H(4) <=> C(29) + H2(3) - rate-constant: {A: 165000000000.00003, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H(4) <=> CH(9) + H2(3) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH4(16) + H(4) <=> CH3(14) + H2(3) - rate-constant: {A: 660000.0000000001, b: 1.62, Ea: 45354560.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HCO(12) <=> CO(10) + H2(3) - rate-constant: {A: 73400000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + H(4) <=> H2(3) + HCO(12) - rate-constant: {A: 57400.000000000015, b: 1.9, Ea: 11472528.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 165000000.00000003, b: 0.65, Ea: -1188256.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 32800000000.000004, b: -0.09, Ea: 2552240.0000000005} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) <=> CH2OH(18) + H(4) - rate-constant: {A: 41500.00000000001, b: 1.63, Ea: 8050016.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) <=> CH2O(15) + H2(3) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) <=> CH3(14) + OH(5) - rate-constant: {A: 1500000000.0000002, b: 0.5, Ea: -460240.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 262000000000.00003, b: -0.23, Ea: 4476880.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + H(4) <=> CH2OH(18) + H2(3) - rate-constant: {A: 17000.000000000004, b: 2.1, Ea: 20376080.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + H(4) <=> CH3O(19) + H2(3) - rate-constant: {A: 4200.000000000001, b: 2.1, Ea: 20376080.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + H(4) <=> C2H2(22) + H2(3) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + H(4) <=> C2H3(24) + H2(3) - rate-constant: {A: 1325.0000000000002, b: 2.53, Ea: 51212160.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + H(4) <=> C2H4(26) + H2(3) - rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + ethane(1) <=> C2H5(27) + H2(3) - rate-constant: {A: 115000.00000000001, b: 1.9, Ea: 31505520.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HCCO(23) <=> CH2(S)(13) + CO(10) - rate-constant: {A: 100000000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + H(4) <=> H2(3) + HCCO(23) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 33472000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + H(4) <=> CH3(14) + CO(10) - rate-constant: {A: 11300000000.000002, b: 0.0, Ea: 14342752.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HCCOH(30) <=> CH2CO(25) + H(4) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: H2(3) + OH(5) <=> H(4) + H2O(28) - rate-constant: {A: 216000.00000000003, b: 1.51, Ea: 14351120.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 OH(5) <=> H2O(28) + O(2) - rate-constant: {A: 35.7, b: 2.4, Ea: -8828240.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 14500000000.000002, b: 0.0, Ea: -2092000.0} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: HO2(6) + OH(5) <=> H2O(28) + O2(7) - rate-constant: {A: 5000000000000.001, b: 0.0, Ea: 72508720.00000001} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 2000000000.0000002, b: 0.0, Ea: 1786568.0} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: H2O2(8) + OH(5) <=> H2O(28) + HO2(6) - rate-constant: {A: 1700000000000000.2, b: 0.0, Ea: 123051440.00000001} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: C(29) + OH(5) <=> CO(10) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + OH(5) <=> H(4) + HCO(12) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + OH(5) <=> CH(9) + H2O(28) - rate-constant: {A: 11300.000000000002, b: 2.0, Ea: 12552000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + OH(5) <=> CH2O(15) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + OH(5) <=> CH2(11) + H2O(28) - rate-constant: {A: 56000.00000000001, b: 1.6, Ea: 22677280.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + OH(5) <=> CH2(S)(13) + H2O(28) - rate-constant: {A: 644000000000000.1, b: -1.34, Ea: 5928728.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH4(16) + OH(5) <=> CH3(14) + H2O(28) - rate-constant: {A: 100000.00000000001, b: 1.6, Ea: 13054080.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CO(10) + OH(5) <=> CO2(17) + H(4) - rate-constant: {A: 47600.00000000001, b: 1.228, Ea: 292880.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + OH(5) <=> CO(10) + H2O(28) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + OH(5) <=> H2O(28) + HCO(12) - rate-constant: {A: 3430000.0000000005, b: 1.18, Ea: -1870248.0000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + OH(5) <=> CH2O(15) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + OH(5) <=> CH2OH(18) + H2O(28) - rate-constant: {A: 1440.0000000000002, b: 2.0, Ea: -3514560.0000000005} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3OH(20) + OH(5) <=> CH3O(19) + H2O(28) - rate-constant: {A: 6300.000000000001, b: 2.0, Ea: 6276000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H(21) + OH(5) <=> H(4) + HCCO(23) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + OH(5) <=> CH2CO(25) + H(4) - rate-constant: {A: 2.1800000000000005e-07, b: 4.5, Ea: -4184000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + OH(5) <=> H(4) + HCCOH(30) - rate-constant: {A: 504.0000000000001, b: 2.3, Ea: 56484000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + OH(5) <=> C2H(21) + H2O(28) - rate-constant: {A: 33700.0, b: 2.0, Ea: 58576000.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + OH(5) <=> CH3(14) + CO(10) - rate-constant: {A: 4.830000000000001e-07, b: 4.0, Ea: -8368000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + OH(5) <=> C2H2(22) + H2O(28) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + OH(5) <=> C2H3(24) + H2O(28) - rate-constant: {A: 3600.0000000000005, b: 2.0, Ea: 10460000.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: OH(5) + ethane(1) <=> C2H5(27) + H2O(28) - rate-constant: {A: 3540.0000000000005, b: 2.12, Ea: 3640080.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + OH(5) <=> H2O(28) + HCCO(23) - rate-constant: {A: 7500000000.000001, b: 0.0, Ea: 8368000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 130000000.00000001, b: 0.0, Ea: -6819920.000000001} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 HO2(6) <=> H2O2(8) + O2(7) - rate-constant: {A: 420000000000.00006, b: 0.0, Ea: 50208000.0} - duplicate: true - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + HO2(6) <=> CH2O(15) + OH(5) - rate-constant: {A: 20000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + HO2(6) <=> CH4(16) + O2(7) - rate-constant: {A: 1000000000.0000001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + HO2(6) <=> CH3O(19) + OH(5) - rate-constant: {A: 37800000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CO(10) + HO2(6) <=> CO2(17) + OH(5) - rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 98742400.00000003} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + HO2(6) <=> H2O2(8) + HCO(12) - rate-constant: {A: 5600.000000000001, b: 2.0, Ea: 50208000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C(29) + O2(7) <=> CO(10) + O(2) - rate-constant: {A: 58000000000.00001, b: 0.0, Ea: 2409984.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C(29) + CH2(11) <=> C2H(21) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C(29) + CH3(14) <=> C2H2(22) + H(4) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + O2(7) <=> HCO(12) + O(2) - rate-constant: {A: 67100000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + H2(3) <=> CH2(11) + H(4) - rate-constant: {A: 108000000000.00002, b: 0.0, Ea: 13012240.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + H2O(28) <=> CH2O(15) + H(4) - rate-constant: {A: 5710000000.000001, b: 0.0, Ea: -3158920.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CH2(11) <=> C2H2(22) + H(4) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CH3(14) <=> C2H3(24) + H(4) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CH4(16) <=> C2H4(26) + H(4) - rate-constant: {A: 60000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CO2(17) <=> CO(10) + HCO(12) - rate-constant: {A: 190000000000.00003, b: 0.0, Ea: 66073728.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CH2O(15) <=> CH2CO(25) + H(4) - rate-constant: {A: 94600000000.00002, b: 0.0, Ea: -2154760.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + HCCO(23) <=> C2H2(22) + CO(10) - rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + O2(7) => CO(10) + H(4) + OH(5) - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 6276000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 500.0000000000001, b: 2.0, Ea: 30250320.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 CH2(11) <=> C2H2(22) + H2(3) - rate-constant: {A: 1600000000000.0002, b: 0.0, Ea: 49973696.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 2460.0000000000005, b: 2.0, Ea: 34601680.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + HCCO(23) <=> C2H3(24) + CO(10) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + O2(7) <=> CO(10) + H(4) + OH(5) - rate-constant: {A: 28000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + O2(7) <=> CO(10) + H2O(28) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H2(3) <=> CH3(14) + H(4) - rate-constant: {A: 70000000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H2O(28) <=> CH2(11) + H2O(28) - rate-constant: {A: 30000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CH3(14) <=> C2H4(26) + H(4) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: -2384880.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CH4(16) <=> 2 CH3(14) - rate-constant: {A: 16000000000.000002, b: 0.0, Ea: -2384880.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CO(10) <=> CH2(11) + CO(10) - rate-constant: {A: 9000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CO2(17) <=> CH2(11) + CO2(17) - rate-constant: {A: 7000000000.000001, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + CO2(17) <=> CH2O(15) + CO(10) - rate-constant: {A: 14000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + ethane(1) <=> C2H5(27) + CH3(14) - rate-constant: {A: 40000000000.00001, b: 0.0, Ea: -2301200.0000000005} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + O2(7) <=> CH3O(19) + O(2) - rate-constant: {A: 35600000000.00001, b: 0.0, Ea: 127528320.00000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + O2(7) <=> CH2O(15) + OH(5) - rate-constant: {A: 2310000000.0000005, b: 0.0, Ea: 84997960.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + H2O2(8) <=> CH4(16) + HO2(6) - rate-constant: {A: 24.500000000000004, b: 2.47, Ea: 21673120.000000004} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 CH3(14) <=> C2H5(27) + H(4) - rate-constant: {A: 6840000000.000001, b: 0.1, Ea: 44350400.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + HCO(12) <=> CH4(16) + CO(10) - rate-constant: {A: 26480000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + CH3(14) <=> CH4(16) + HCO(12) - rate-constant: {A: 3.3200000000000003, b: 2.81, Ea: 24518240.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) - rate-constant: {A: 30000.000000000004, b: 1.5, Ea: 41588960.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) - rate-constant: {A: 10000.000000000002, b: 1.5, Ea: 41588960.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + CH3(14) <=> C2H3(24) + CH4(16) - rate-constant: {A: 227.00000000000003, b: 2.0, Ea: 38492800.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + ethane(1) <=> C2H5(27) + CH4(16) - rate-constant: {A: 6140.000000000002, b: 1.74, Ea: 43722800.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + H2O(28) <=> CO(10) + H(4) + H2O(28) - rate-constant: {A: 1500000000000000.2, b: -1.0, Ea: 71128000.0} - efficiencies: {H2O(28): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + O2(7) <=> CO(10) + HO2(6) - rate-constant: {A: 13450000000.000002, b: 0.0, Ea: 1673600.0000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 18000000000.000004, b: 0.0, Ea: 3765600.000000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + O2(7) <=> CH2O(15) + HO2(6) - rate-constant: {A: 4.2800000000000005e-16, b: 7.6, Ea: -14769520.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H(21) + O2(7) <=> CO(10) + HCO(12) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: -3158920.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H(21) + H2(3) <=> C2H2(22) + H(4) - rate-constant: {A: 56800000.00000001, b: 0.9, Ea: 8338712.000000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + O2(7) <=> CH2O(15) + HCO(12) - rate-constant: {A: 45800000000000.01, b: -1.39, Ea: 4246760.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + O2(7) <=> C2H4(26) + HO2(6) - rate-constant: {A: 840000000.0000001, b: 0.0, Ea: 16213000.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCCO(23) + O2(7) <=> 2 CO(10) + OH(5) - rate-constant: {A: 3200000000.0000005, b: 0.0, Ea: 3573136.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 HCCO(23) <=> C2H2(22) + 2 CO(10) - rate-constant: {A: 10000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + O(2) => CO(10) + H(4) + H2(3) - rate-constant: {A: 33700000000.000008, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + O(2) <=> CH2CHO(31) + H(4) - rate-constant: {A: 6700.000000000001, b: 1.83, Ea: 920480.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + O(2) <=> CH3CHO(32) + H(4) - rate-constant: {A: 109600000000.00002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + OH(5) => CH2O(15) + H2(3) - rate-constant: {A: 8000000.000000001, b: 0.5, Ea: -7342920.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + O2(7) => CO2(17) + 2 H(4) - rate-constant: {A: 5800000000.000001, b: 0.0, Ea: 6276000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + O2(7) <=> CH2O(15) + O(2) - rate-constant: {A: 2400000000.0000005, b: 0.0, Ea: 6276000.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 CH2(11) => C2H2(22) + 2 H(4) - rate-constant: {A: 200000000000.00003, b: 0.0, Ea: 45977976.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H2O(28) => CH2O(15) + H2(3) - rate-constant: {A: 68200000.00000001, b: 0.25, Ea: -3912040.0000000005} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + O2(7) <=> CH2CHO(31) + O(2) - rate-constant: {A: 303000000.00000006, b: 0.29, Ea: 46024.00000000001} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + O2(7) <=> C2H2(22) + HO2(6) - rate-constant: {A: 1337.0000000000002, b: 1.61, Ea: -1606656.0000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + O(2) <=> CH2CHO(31) + OH(5) - rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + O(2) => CH3(14) + CO(10) + OH(5) - rate-constant: {A: 2920000000.0000005, b: 0.0, Ea: 7564672.000000002} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + O2(7) => CH3(14) + CO(10) + HO2(6) - rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 163803600.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + H(4) <=> CH2CHO(31) + H2(3) - rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + H(4) => CH3(14) + CO(10) + H2(3) - rate-constant: {A: 2050000.0000000005, b: 1.16, Ea: 10062520.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + OH(5) => CH3(14) + CO(10) + H2O(28) - rate-constant: {A: 23430000.000000004, b: 0.73, Ea: -4656792.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + HO2(6) => CH3(14) + CO(10) + H2O2(8) - rate-constant: {A: 3010000000.0000005, b: 0.0, Ea: 49885832.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3CHO(32) + CH3(14) => CH4(16) + CO(10) + CH3(14) - rate-constant: {A: 2720.0000000000005, b: 1.77, Ea: 24769280.000000004} - efficiencies: {CH3(14): 1.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + O(2) => CH2(11) + CO2(17) + H(4) - rate-constant: {A: 150000000000.00003, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + O2(7) => CH2O(15) + CO(10) + OH(5) - rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + O2(7) => 2 HCO(12) + OH(5) - rate-constant: {A: 23500000.000000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + H(4) <=> CH3(14) + HCO(12) - rate-constant: {A: 22000000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + H(4) <=> CH2CO(25) + H2(3) - rate-constant: {A: 11000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + OH(5) <=> CH2CO(25) + H2O(28) - rate-constant: {A: 12000000000.000002, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CHO(31) + OH(5) <=> CH2OH(18) + HCO(12) - rate-constant: {A: 30100000000.000004, b: 0.0, Ea: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 O(2) + M <=> O2(7) + M - rate-constant: {A: 120000000000.00002, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.4, CH4(16): 2.0, CO2(17): 3.6, H2O(28): 15.4, - Ar: 0.83} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + O(2) + M <=> OH(5) + M - rate-constant: {A: 500000000000.0001, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + O2(7) + M <=> HO2(6) + M - rate-constant: {A: 2800000000000.0005, b: -0.86, Ea: 0.0} - efficiencies: {ethane(1): 1.5, O2(7): 0.0, CO2(17): 1.5, H2O(28): 0.0, N2: 0.0, - Ar: 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 H(4) + M <=> H2(3) + M - rate-constant: {A: 1000000000000.0002, b: -1.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 0.0, CH4(16): 2.0, CO2(17): 0.0, H2O(28): 0.0, - Ar: 0.63} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + OH(5) + M <=> H2O(28) + M - rate-constant: {A: 2.2000000000000004e+16, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, H2(3): 0.73, CH4(16): 2.0, H2O(28): 3.65, Ar: 0.38} - note: 'Library reaction: GRI-Mech3.0' -- equation: HCO(12) + M <=> CO(10) + H(4) + M - rate-constant: {A: 187000000000000.03, b: -1.0, Ea: 71128000.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 0.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CO(10) + O(2) (+M) <=> CO2(17) (+M) - type: falloff - low-P-rate-constant: {A: 602000000.0000001, b: 0.0, Ea: 12552000.0} - high-P-rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 9978840.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, O2(7): 6.0, CH4(16): 2.0, CO2(17): 3.5, - H2O(28): 6.0, Ar: 0.5} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + H(4) (+M) <=> CH3(14) (+M) - type: falloff - low-P-rate-constant: {A: 1.0400000000000002e+20, b: -2.76, Ea: 6694400.000000001} - high-P-rate-constant: {A: 600000000000.0001, b: 0.0, Ea: 0.0} - Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + H(4) (+M) <=> CH4(16) (+M) - type: falloff - low-P-rate-constant: {A: 2.6200000000000006e+27, b: -4.76, Ea: 10208960.000000002} - high-P-rate-constant: {A: 13900000000000.002, b: -0.534, Ea: 2242624.0000000005} - Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 3.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) - type: falloff - low-P-rate-constant: {A: 2.4700000000000005e+18, b: -2.57, Ea: 1778200.0} - high-P-rate-constant: {A: 1090000000.0000002, b: 0.48, Ea: -1087840.0000000005} - Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + H(4) (+M) <=> CH2OH(18) (+M) - type: falloff - low-P-rate-constant: {A: 1.2700000000000002e+26, b: -4.82, Ea: 27321520.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 15062400.000000004} - Troe: {A: 0.7187, T3: 103.00000000000001, T1: 1291.0, T2: 4160.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2O(15) + H(4) (+M) <=> CH3O(19) (+M) - type: falloff - low-P-rate-constant: {A: 2.2000000000000006e+24, b: -4.8, Ea: 23263040.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 10878400.000000002} - Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2OH(18) + H(4) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.360000000000001e+25, b: -4.65, Ea: 21254720.0} - high-P-rate-constant: {A: 1055000000.0000002, b: 0.5, Ea: 359824.0} - Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3O(19) + H(4) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.660000000000001e+35, b: -7.44, Ea: 58910720.0} - high-P-rate-constant: {A: 2430000000.0000005, b: 0.515, Ea: 209200.00000000003} - Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H(21) + H(4) (+M) <=> C2H2(22) (+M) - type: falloff - low-P-rate-constant: {A: 3.750000000000001e+27, b: -4.8, Ea: 7949600.000000001} - high-P-rate-constant: {A: 100000000000000.02, b: -1.0, Ea: 0.0} - Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H2(22) + H(4) (+M) <=> C2H3(24) (+M) - type: falloff - low-P-rate-constant: {A: 3.8000000000000006e+34, b: -7.27, Ea: 30208480.0} - high-P-rate-constant: {A: 5600000000.000001, b: 0.0, Ea: 10041600.0} - Troe: {A: 0.7507, T3: 98.50000000000001, T1: 1302.0, T2: 4167.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H3(24) + H(4) (+M) <=> C2H4(26) (+M) - type: falloff - low-P-rate-constant: {A: 1.4000000000000004e+24, b: -3.86, Ea: 13890880.000000004} - high-P-rate-constant: {A: 6080000000.000001, b: 0.27, Ea: 1171520.0} - Troe: {A: 0.782, T3: 207.49999999999997, T1: 2663.0, T2: 6095.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) + H(4) (+M) <=> C2H5(27) (+M) - type: falloff - low-P-rate-constant: {A: 6.0000000000000005e+35, b: -7.62, Ea: 29162480.0} - high-P-rate-constant: {A: 540000000.0000001, b: 0.454, Ea: 7614880.000000001} - Troe: {A: 0.9753, T3: 209.99999999999997, T1: 983.9999999999999, T2: 4374.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + H(4) (+M) <=> ethane(1) (+M) - type: falloff - low-P-rate-constant: {A: 1.9900000000000005e+35, b: -7.08, Ea: 27970040.0} - high-P-rate-constant: {A: 521000000000000.06, b: -0.99, Ea: 6610720.0} - Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CO(10) + H2(3) (+M) <=> CH2O(15) (+M) - type: falloff - low-P-rate-constant: {A: 5.07e+21, b: -3.42, Ea: 352920400.0} - high-P-rate-constant: {A: 43000.00000000001, b: 1.5, Ea: 333046400.0} - Troe: {A: 0.932, T3: 197.00000000000003, T1: 1540.0, T2: 10300.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 OH(5) (+M) <=> H2O2(8) (+M) - type: falloff - low-P-rate-constant: {A: 2300000000000.0005, b: -0.9, Ea: -7112800.0} - high-P-rate-constant: {A: 74000000000.00002, b: -0.37, Ea: 0.0} - Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH3(14) + OH(5) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 4.000000000000001e+30, b: -5.92, Ea: 13137760.0} - high-P-rate-constant: {A: 2790000000000000.5, b: -1.43, Ea: 5564720.0} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + CO(10) (+M) <=> HCCO(23) (+M) - type: falloff - low-P-rate-constant: {A: 2.6900000000000003e+22, b: -3.74, Ea: 8100224.000000001} - high-P-rate-constant: {A: 50000000000.00001, b: 0.0, Ea: 0.0} - Troe: {A: 0.5757, T3: 237.00000000000003, T1: 1652.0, T2: 5069.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(11) + CO(10) (+M) <=> CH2CO(25) (+M) - type: falloff - low-P-rate-constant: {A: 2.6900000000000006e+27, b: -5.11, Ea: 29685480.0} - high-P-rate-constant: {A: 810000000.0000001, b: 0.5, Ea: 18869840.000000004} - Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2(S)(13) + H2O(28) (+M) <=> CH3OH(20) (+M) - type: falloff - low-P-rate-constant: {A: 1.88e+32, b: -6.36, Ea: 21087360.0} - high-P-rate-constant: {A: 482000000000000.06, b: -1.16, Ea: 4790680.000000001} - Troe: {A: 0.6027, T3: 208.0, T1: 3921.9999999999995, T2: 10180.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0} - note: 'Library reaction: GRI-Mech3.0' -- equation: 2 CH3(14) (+M) <=> ethane(1) (+M) - type: falloff - low-P-rate-constant: {A: 3.400000000000001e+35, b: -7.03, Ea: 11556208.000000002} - high-P-rate-constant: {A: 67700000000000.01, b: -1.18, Ea: 2736336.000000001} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H4(26) (+M) <=> C2H2(22) + H2(3) (+M) - type: falloff - low-P-rate-constant: {A: 1.5800000000000006e+48, b: -9.3, Ea: 409195200.0} - high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045680.00000006} - Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH(9) + H2(3) (+M) <=> CH3(14) (+M) - type: falloff - low-P-rate-constant: {A: 4.820000000000001e+19, b: -2.8, Ea: 2468560.0000000005} - high-P-rate-constant: {A: 1970000000.0000002, b: 0.43, Ea: -1548080.0000000002} - Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: CH2CO(25) + H(4) (+M) <=> CH2CHO(31) (+M) - type: falloff - low-P-rate-constant: {A: 1.0120000000000002e+36, b: -7.63, Ea: 16125136.000000002} - high-P-rate-constant: {A: 486500000.00000006, b: 0.422, Ea: -7342920.0} - Troe: {A: 0.465, T3: 201.0, T1: 1772.9999999999998, T2: 5333.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: C2H5(27) + CH3(14) (+M) <=> C3H8(33) (+M) - type: falloff - low-P-rate-constant: {A: 2.7100000000000003e+68, b: -16.82, Ea: 54663960.00000001} - high-P-rate-constant: {A: 9430000000.000002, b: 0.0, Ea: 0.0} - Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} - efficiencies: {ethane(1): 3.0, H2(3): 2.0, CH4(16): 2.0, CO2(17): 2.0, H2O(28): 6.0, - Ar: 0.7} - note: 'Library reaction: GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> H2O2(8) - rate-constant: {A: 5250690.0, b: 1.27262, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O - in family R_Recombination.' -- equation: CH(9) + H(4) <=> CH2(S)(13) - rate-constant: {A: 53700000000.0, b: 0.15395, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O - in family R_Recombination.' -- equation: H(4) + HCCO(23) <=> CH2CO(25) - rate-constant: {A: 11386000000.0, b: 0.308956, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R - in family R_Recombination.' -- equation: C2H(21) + OH(5) <=> HCCOH(30) - rate-constant: {A: 77000000000.0, b: 4.95181e-08, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R - in family R_Recombination.' -- equation: H(4) + HCCO(23) <=> HCCOH(30) - rate-constant: {A: 2805150000.0, b: 0.314888, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O - in family R_Recombination.' -- equation: CH3(14) + HCO(12) <=> CH3CHO(32) - rate-constant: {A: 18100000000.000004, b: 0.0, Ea: 0.0} - note: 'Template reaction: R_Recombination | Matched reaction 71 CH3 + CHO <=> C2H4O - in R_Recombination/training; This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O]; - family: R_Recombination' -- equation: CH2CHO(31) + H(4) <=> CH3CHO(32) - rate-constant: {A: 78286700000.0, b: 0.0631113, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN - in family R_Recombination.' -- equation: 2 CH(9) <=> C2H2(22) - rate-constant: {A: 99813000.0, b: 0.610916, Ea: 0.0} - note: 'Template reaction: R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing - in family R_Recombination.' diff --git a/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml deleted file mode 100644 index 38930866a97..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/cantera2/from_main_test.yaml +++ /dev/null @@ -1,1255 +0,0 @@ -description: RMG-Py Generated Mechanism -generator: 'RMG-Py CanteraWriter2 at /Users/daniellelucey/RMG-Py/rmgpy/yaml_cantera2.py - (git commit: 063b6b0)' -cantera-version: '3.1' -units: {length: m, time: s, quantity: mol, activation-energy: J/mol} -elements: -- {symbol: D, atomic-weight: 2.014101715758443} -- {symbol: T, atomic-weight: 3.0160490423440933} -- {symbol: CI, atomic-weight: 13.003353960812092} -- {symbol: OI, atomic-weight: 17.999159172177315} -- {symbol: X, atomic-weight: 195.083} -phases: -- name: gas - thermo: ideal-gas - elements: [Ar, Br, C, CI, Cl, D, F, H, He, I, N, Ne, O, OI, S, Si, T, X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), HO2(6), O2(7), H2O2(8), - CH(9), CO(10), CH2(11), HCO(12), CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), - CH2OH(18), CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), CH2CO(25), - C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} -species: -- name: ethane(1) - composition: {H: 6, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 954.5165316630638, 5000.0] - data: - - [3.7803274333291164, -0.003242536810039668, 5.523771743952032e-05, -6.385765657832756e-08, - 2.286350154835937e-11, -11620.34056878642, 5.2103625138745535] - - [4.589857356655155, 0.01415072957994417, -4.759595608783751e-06, 8.602881051327119e-10, - -6.21711500823632e-14, -12721.776270468992, -3.617537540469888] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' - transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: O(2) - composition: {O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 29230.24412855015, 5.126164272659162] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 29230.243847087564, 5.126162159943312] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 80.00026940977129, diameter: 2.7500000000000004, - note: GRI-Mech} -- name: H2(3) - composition: {H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1959.0704060489752, 5000.0] - data: - - [3.4353639487680128, 0.0002127118156028557, -2.7862835897145624e-07, 3.402697677898988e-10, - -7.760384389606823e-14, -1031.3598307378923, -3.9084166738022317] - - [2.788183431931728, 0.0005876180754751174, 1.5902112168376917e-07, -5.527605114100645e-11, - 4.343266442811977e-15, -596.1546540947348, 0.11262832427188434] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, well-depth: 38.00012796964137, diameter: 2.92, - polarizability: 0.7900000000000004, rotational-relaxation: 280.0, note: GRI-Mech} -- name: H(4) - composition: {H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 25474.217768728387, -0.4449728963637201] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 25474.2174872658, -0.4449750090795722] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 145.00018762466215, diameter: 2.0500000000000003, - note: GRI-Mech} -- name: OH(5) - composition: {H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1145.7521011170168, 5000.0] - data: - - [3.514568038834053, 2.9277405618225407e-05, -5.32163500292442e-07, 1.0194904372190674e-09, - -3.859452377917145e-13, 3414.25419726746, 2.104348847447872] - - [3.071939833652634, 0.0006040156545295, -1.3978269107817313e-08, -2.1344615084426844e-11, - 2.4806570047627186e-15, 3579.3867548969656, 4.577999949781534] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, - note: GRI-Mech} -- name: HO2(6) - composition: {H: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 932.1587116923824, 5000.0] - data: - - [4.045943172132462, -0.001734626698454687, 1.0376573386756708e-05, -1.0220143747577855e-08, - 3.3490365122259157e-12, -986.754171996653, 4.635818986467584] - - [3.210243785202328, 0.0036794108355443496, -1.2770104000866958e-06, 2.1804398774112111e-10, - -1.4633687091481033e-14, -910.3706242716864, 8.182889562642405] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) + radical(HOOJ)' - transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: O2(7) - composition: {O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1074.5559874666221, 5000.0] - data: - - [3.5373217113695397, -0.0012157081866178787, 5.3161744753665525e-06, -4.894429543084893e-09, - 1.4584485293487145e-12, -1038.5884568564704, 4.6836844075736] - - [3.1538247849326697, 0.001678037130877558, -7.699705205295331e-07, 1.5127459750571054e-10, - -1.0878170489110307e-14, -1040.8190172537113, 6.167535803814269] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, well-depth: 107.40032560095216, diameter: 3.458000000000001, - polarizability: 1.6000000000000008, rotational-relaxation: 3.8, note: GRI-Mech} -- name: H2O2(8) - composition: {H: 2, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 908.8554823511466, 5000.0] - data: - - [3.73137614050705, 0.003350482514942175, 9.351187533876275e-06, -1.5211168513411492e-08, - 6.416412701320585e-12, -17721.171582843155, 5.459044225733844] - - [5.415737793495593, 0.0026101678952029977, -4.399430439107962e-07, 4.912101201717723e-11, - -3.3529149506348695e-15, -18302.932441143923, -4.022205933495868] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' - transport: {model: gas, geometry: nonlinear, well-depth: 107.40032560095216, diameter: 3.458000000000001, - rotational-relaxation: 3.8, note: GRI-Mech} -- name: CH(9) - composition: {H: 1, C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 926.5000868614704, 5000.0] - data: - - [4.114884169085687, -0.0003610608257374108, -6.347367058134333e-06, 1.0588806976351849e-08, - -4.570581724984619e-12, 75083.85534754528, 1.612693511378359] - - [2.3397304757095996, 0.0017585841964054565, -8.029181981027698e-07, 1.4045776206801416e-10, - -8.474993553681503e-15, 75650.7519481187, 11.325457559946967] - note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' - transport: {model: gas, geometry: linear, well-depth: 80.00026940977129, diameter: 2.7500000000000004, - note: GRI-Mech} -- name: CO(10) - composition: {C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1571.635577343377, 5000.0] - data: - - [3.5683800484025916, -0.0008521262670226395, 2.4891796966658126e-06, -1.5633120860143723e-09, - 3.135957994412226e-13, -14284.2549422392, 3.579121538053434] - - [2.9130626306424436, 0.0016465842199386833, -6.886180363700936e-07, 1.2103804382683996e-10, - -7.840232784477964e-15, -14180.882416118407, 6.710481156838912] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, well-depth: 98.10027624123336, diameter: 3.6500000000000004, - polarizability: 1.9500000000000008, rotational-relaxation: 1.8, note: GRI-Mech} -- name: CH2(11) - composition: {H: 2, C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1104.6267239631795, 5000.0] - data: - - [4.0119238173266885, -0.00015497815596776285, 3.262976760818217e-06, -2.4042168549424923e-09, - 5.694963373961063e-13, 45867.680222863884, 0.5332007195283763] - - [3.149833606344721, 0.0029667430594348385, -9.760561249263692e-07, 1.5411534787212476e-10, - -9.503386955575038e-15, 46058.13913461232, 4.778078110804035] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, - note: GRI-Mech} -- name: HCO(12) - composition: {H: 1, C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1565.7120792018852, 5000.0] - data: - - [4.356024400619503, -0.003470912211025233, 1.2566525897003503e-05, -9.994991807684093e-09, - 2.278917370374692e-12, 3995.7703318779218, 2.751111427914028] - - [4.618520755148811, 0.005044772485178862, -4.392513089795063e-06, 9.733048740473051e-10, - -7.074534554082162e-14, 2787.582246997859, -2.2287435033652683] - note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' - transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, - note: GRI-Mech} -- name: CH2(S)(13) - composition: {H: 2, C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1442.3580101782086, 5000.0] - data: - - [4.102643682622427, -0.0014406835121726618, 5.450688287473449e-06, -3.5800194681993524e-09, - 7.561924806653407e-13, 50400.57849602855, -0.4117655884033766] - - [2.6264740273422635, 0.003947629223585963, -1.4992413415313327e-06, 2.545391499915196e-10, - -1.629558318782858e-14, 50691.75316398369, 6.783790698934837] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, - note: GRI-Mech} -- name: CH3(14) - composition: {H: 3, C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1337.627303178629, 5000.0] - data: - - [3.915467627996589, 0.001841543038966437, 3.4874181471700314e-06, -3.327476648677652e-09, - 8.499570768410386e-13, 16285.639371722482, 0.3517414228537716] - - [3.5414572225301972, 0.004767868738173273, -1.8214844677356902e-06, 3.2887663334895645e-10, - -2.2254563074621602e-14, 16223.958038756007, 1.660351193289797] - note: 'Thermo library: primaryThermoLibrary + radical(CH3)' - transport: {model: gas, geometry: nonlinear, well-depth: 144.00072548202698, diameter: 3.8, - note: GRI-Mech} -- name: CH2O(15) - composition: {H: 2, C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1402.2848955097152, 5000.0] - data: - - [4.322893745207224, -0.005063249479937248, 2.1515495168109833e-05, -1.76520795881397e-08, - 4.3181303801961645e-12, -14278.956366088585, 2.3924335479025562] - - [3.1799898971516543, 0.00955593266295388, -6.272986551368634e-06, 1.3355389892308e-09, - -9.68405406001952e-14, -15075.245773494298, 4.310542416920189] - note: 'Thermo group additivity estimation: group(Cds-OdHH)' - transport: {model: gas, geometry: nonlinear, well-depth: 498.001556803607, diameter: 3.5900000000000007, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH4(16) - composition: {H: 4, C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1084.1178897101286, 5000.0] - data: - - [4.205416684633066, -0.005355590254627177, 2.511238250111796e-05, -2.137635320163276e-08, - 5.9752670131915595e-12, -10161.943368029231, -0.9212844871470729] - - [0.9082573996547298, 0.011454099528933412, -4.571746006222714e-06, 8.291934667300837e-10, - -5.66316365457203e-14, -9719.970790335326, 13.993141571614126] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, well-depth: 141.400440100105, diameter: 3.746000000000001, - polarizability: 2.6000000000000014, rotational-relaxation: 13.0, note: GRI-Mech} -- name: CO2(17) - composition: {C: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 988.874846895476, 5000.0] - data: - - [3.278622967759262, 0.002741382373989827, 7.161238132337091e-06, -1.0803389384388666e-08, - 4.1431045806313505e-12, -48470.314952383545, 5.979323504737395] - - [4.546050274062975, 0.002919210558291122, -1.1548821046550818e-06, 2.276642852647346e-10, - -1.7091875765043676e-14, -48980.34041889094, -1.4324910236617816] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) - + group(Cdd-OdOd)' - transport: {model: gas, geometry: linear, well-depth: 244.00106224424113, diameter: 3.763, - polarizability: 2.650000000000001, rotational-relaxation: 2.1, note: GRI-Mech} -- name: CH2OH(18) - composition: {H: 3, C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 895.0163946403012, 5000.0] - data: - - [3.711740249971209, 0.0019311457977334778, 2.123385699735588e-05, -3.031528812969471e-08, - 1.2487574647076677e-11, -4007.4592181376324, 7.292020622080347] - - [6.056318547324978, 0.0030217036257262145, 1.723010962975875e-08, -6.963233382451129e-11, - 5.182581927964743e-15, -4890.513428418116, -6.34776466810346] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + - radical(CsJOH)' - transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, - dipole: 1.7000000000000006, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3O(19) - composition: {H: 3, C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 916.8968434206298, 5000.0] - data: - - [4.0013327502495155, -0.004156526476422401, 3.263426883212575e-05, -3.7110180766619686e-08, - 1.3570166892492088e-11, -6.151515491093088, 6.8138019013791435] - - [4.016294811471149, 0.006268007893365234, -1.5806074006739916e-06, 2.445890523709642e-10, - -1.70322515470223e-14, -449.83419135504226, 4.338398992219582] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) + - radical(H3COJ)' - transport: {model: gas, geometry: nonlinear, well-depth: 417.00182525120056, diameter: 3.690000000000001, - dipole: 1.7000000000000006, rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3OH(20) - composition: {H: 4, C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 952.1389545704913, 5000.0] - data: - - [3.8949619311009682, -0.0007713539892289695, 2.6475518384892784e-05, -2.917936605714971e-08, - 1.0083471431111355e-11, -26335.854771452, 6.364759035632583] - - [3.138078144441756, 0.010354206693580961, -3.5695733697248403e-06, 6.222867410402885e-10, - -4.278055990314069e-14, -26551.895548904657, 8.087778812494083] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' - transport: {model: gas, geometry: nonlinear, well-depth: 481.802091582003, diameter: 3.626000000000001, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H(21) - composition: {H: 1, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1076.5707431623787, 5000.0] - data: - - [3.038526076764681, 0.011544971712654409, -2.1326577630156857e-05, 1.8193498854298534e-08, - -5.415989423373292e-12, 66398.01423981925, 5.966772314365718] - - [4.0084898009954175, 0.0020681108532139827, 6.052628413041129e-08, -1.1771428006220733e-10, - 1.2928664540905204e-14, 66529.5066627588, 2.796357444487442] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) + radical(Acetyl)' - transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: C2H2(22) - composition: {H: 2, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 888.6312703495089, 5000.0] - data: - - [3.035741541159452, 0.007712463869898586, 2.5346473132966697e-06, -1.0812907257939146e-08, - 5.507378740942841e-12, 25852.644572333335, 4.544633504234925] - - [5.762059744831072, 0.002371561933486471, -1.495673463818596e-07, -2.1919166811126934e-11, - 2.218103671549502e-15, 25094.44423800569, -9.826166661316744] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' - transport: {model: gas, geometry: linear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, - rotational-relaxation: 2.5, note: GRI-Mech} -- name: HCCO(23) - composition: {H: 1, C: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 936.0638710543434, 5000.0] - data: - - [3.4564741766825713, 0.010572846175575629, -7.359888529672018e-06, 7.973614621605504e-10, - 8.64535565921129e-13, 22595.687980009596, 7.094959264554976] - - [5.998100816612723, 0.0031448048531052264, -9.578070191018402e-07, 1.5562256617433557e-10, - -1.0430952759847218e-14, 21969.466304795515, -5.802337182407708] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d) + radical(Cds_P)' - transport: {model: gas, geometry: nonlinear, well-depth: 150.00110650441783, diameter: 2.500000000000001, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: C2H3(24) - composition: {H: 3, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.9620386849122, 5000.0] - data: - - [3.9067052224888306, -0.004062407608381454, 3.867799265691756e-05, -4.629762490027485e-08, - 1.729003139946922e-11, 34797.178267497635, 6.097890545879522] - - [5.447966243943666, 0.004983560085949153, -1.0882069947704135e-06, 1.798371274522559e-10, - -1.4509613313229812e-14, 33829.77433382413, -4.878086417352228] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) - + radical(Cds_P)' - transport: {model: gas, geometry: nonlinear, well-depth: 209.00064369691785, diameter: 4.1000000000000005, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: CH2CO(25) - composition: {H: 2, C: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 956.6689491705725, 5000.0] - data: - - [3.5274804055011524, 0.007083486242205215, 9.177900378006544e-06, -1.6426489708137257e-08, - 6.711635150789706e-12, -7123.942382209249, 5.743734168371629] - - [5.764889204717002, 0.005965697671832553, -1.9849265041966017e-06, 3.5275927958549083e-10, - -2.5163174396771523e-14, -7928.975322079587, -6.92142788806353] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d)' - transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C2H4(26) - composition: {H: 4, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 940.418247087086, 5000.0] - data: - - [3.9798415026745158, -0.007576795695064226, 5.5301749021260425e-05, -6.36282467356439e-08, - 2.3179461952714415e-11, 5077.456720344708, 4.0458828180531095] - - [5.202685599067635, 0.00782495932129625, -2.127146740857326e-06, 3.797651593095124e-10, - -2.9473306602423246e-14, 3936.4075648915114, -6.622380040353341] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' - transport: {model: gas, geometry: nonlinear, well-depth: 280.80075319274636, diameter: 3.9710000000000005, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: C2H5(27) - composition: {H: 5, C: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 900.3134894489242, 5000.0] - data: - - [3.821836273781996, -0.0034336085398177577, 5.0925745698192944e-05, -6.202118789954702e-08, - 2.3707347111588728e-11, 13066.012891898954, 7.61643257724655] - - [5.156208306185573, 0.009431226276708927, -1.8194603109290526e-06, 2.2119584928108884e-10, - -1.434813619419196e-14, 12064.082793230154, -2.910983837429268] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + - radical(CCJ)' - transport: {model: gas, geometry: nonlinear, well-depth: 252.30104810022812, diameter: 4.3020000000000005, - rotational-relaxation: 1.5, note: GRI-Mech} -- name: H2O(28) - composition: {H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1130.229527376887, 5000.0] - data: - - [4.0576350324382435, -0.0007879268259766038, 2.908745359555667e-06, -1.4751533432712154e-09, - 2.128292857644156e-13, -30281.58660142529, -0.31136116480217385] - - [2.8432560092133228, 0.0027510764450291783, -7.81026468417208e-07, 1.072424842465603e-10, - -5.79382842272479e-15, -29958.615252484073, 5.910388340788128] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: nonlinear, well-depth: 572.4019516813576, diameter: 2.6050000000000004, - dipole: 1.8440000000000003, rotational-relaxation: 4.0, note: GRI-Mech} -- name: C(29) - composition: {C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.4317070531474, 5000.0] - data: - - [2.500000000007047, -4.355965157936201e-14, 6.018702929241786e-17, -2.722301540443986e-20, - 3.793163699805646e-24, 85474.52470343211, 3.6597842066730095] - - [2.5000003378922293, -3.234537149837559e-10, 1.1570635152611676e-13, -1.832787034677946e-17, - 1.0844882370603103e-21, 85474.52442196952, 3.659782093957159] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 71.40020436655509, diameter: 3.2980000000000005, - note: GRI-Mech} -- name: HCCOH(30) - composition: {H: 2, C: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1009.8708057502912, 5000.0] - data: - - [3.304087973229727, 0.01250248485622879, -3.7951924250664015e-06, -4.463122728730499e-09, - 2.6631496728579284e-12, 8782.035556651996, 7.197180637326219] - - [6.712469069000979, 0.005148306955083985, -2.0007699389212864e-06, 3.78815894942322e-10, - -2.740886117401159e-14, 7780.2296193740285, -10.831455133638801] - note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) + group(Ct-CtH)' - transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH2CHO(31) - composition: {H: 3, C: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 914.2116020861831, 5000.0] - data: - - [3.347196840427565, 0.0012872740814258146, 5.399868121989472e-05, -7.841438689681067e-08, - 3.240855021277469e-11, -2992.8460602521013, 8.972932135895645] - - [11.726019036050477, -0.0014734544263003628, 2.9073446308875385e-06, -5.969827568656105e-10, - 3.702693978288885e-14, -5941.484167993394, -38.44636767007471] - note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) - + group(Cds-CdsHH) + radical(C=COJ)' - transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: CH3CHO(32) - composition: {H: 4, C: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.197680603768, 5000.0] - data: - - [3.7007899203288224, 0.00038782542085882675, 3.8692905312513264e-05, -4.524473009262779e-08, - 1.5885930165726808e-11, -21380.908380185487, 9.13562173300882] - - [4.588891681956185, 0.012889376676989747, -4.915021813955812e-06, 9.26508715798075e-10, - -6.710116145936973e-14, -22336.013760155674, 0.9010890403489865] - note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + group(Cds-OdCsH)' - transport: {model: gas, geometry: nonlinear, well-depth: 436.0012277388149, diameter: 3.9700000000000006, - rotational-relaxation: 2.0, note: GRI-Mech} -- name: C3H8(33) - composition: {H: 8, C: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 986.5783141978117, 5000.0] - data: - - [3.052552781024803, 0.0125100989428809, 3.7938058095217115e-05, -5.120145693587291e-08, - 1.8706167044773312e-11, -14454.176212770122, 10.067292928454926] - - [5.9132148512337706, 0.021876166894657482, -8.176557517977191e-06, 1.4985333815155727e-09, - -1.0599036819008721e-13, -16038.899994267074, -8.865844996334646] - note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) - + group(Cs-CsHHH)' - transport: {model: gas, geometry: nonlinear, well-depth: 266.8010668626943, diameter: 4.982000000000001, - rotational-relaxation: 1.0, note: GRI-Mech} -- name: N2 - composition: {N: 2} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -0.000123661, -5.02999e-07, 2.43531e-09, -1.40881e-12, -1046.98, 2.96747] - - [2.95258, 0.0013969, -4.92632e-07, 7.8601e-11, -4.60755e-15, -923.949, 5.87189] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: linear, well-depth: 97.53030619382686, diameter: 3.621000000000001, - polarizability: 1.760000000000001, rotational-relaxation: 4.0, note: GRI-Mech} -- name: Ar - composition: {Ar: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 136.50054988458677, diameter: 3.3300000000000005, - note: GRI-Mech} -- name: He - composition: {He: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 10.2, diameter: 2.5760000000000005, - note: NOx2018} -- name: Ne - composition: {Ne: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - note: 'Thermo library: primaryThermoLibrary' - transport: {model: gas, geometry: atom, well-depth: 148.6, diameter: 3.758, note: Epsilon - & sigma estimated with fixed Lennard Jones Parameters. This is the fallback - method! Try improving transport databases!} -reactions: -- equation: O(2) + H2(3) <=> H(4) + OH(5) - rate-constant: {A: 0.038700000000000005, b: 2.7, Ea: 26191.84} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + HO2(6) <=> O2(7) + OH(5) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) - rate-constant: {A: 9.63, b: 2.0, Ea: 16736.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH(9) <=> H(4) + CO(10) - rate-constant: {A: 57000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2(11) <=> H(4) + HCO(12) - rate-constant: {A: 80000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) - rate-constant: {A: 15000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) - rate-constant: {A: 15000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) - rate-constant: {A: 50600000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) - rate-constant: {A: 1020.0000000000001, b: 1.5, Ea: 35982.4} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + HCO(12) <=> OH(5) + CO(10) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + HCO(12) <=> H(4) + CO2(17) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) - rate-constant: {A: 39000000.00000001, b: 0.0, Ea: 14811.36} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) - rate-constant: {A: 0.38800000000000007, b: 2.5, Ea: 12970.4} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) - rate-constant: {A: 0.13000000000000003, b: 2.5, Ea: 20920.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H(21) <=> CO(10) + CH(9) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) - rate-constant: {A: 13.500000000000002, b: 2.0, Ea: 7949.6} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) - rate-constant: {A: 46000000000000.01, b: -1.41, Ea: 121126.8} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) - rate-constant: {A: 6.940000000000001, b: 2.0, Ea: 7949.6} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) - rate-constant: {A: 12.500000000000002, b: 1.83, Ea: 920.48} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) - rate-constant: {A: 22400000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) - rate-constant: {A: 89.80000000000001, b: 1.92, Ea: 23806.96} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) - rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 33472.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) - rate-constant: {A: 1750000.0000000002, b: 0.0, Ea: 5648.400000000001} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CO(10) <=> O(2) + CO2(17) - rate-constant: {A: 2500000.0000000005, b: 0.0, Ea: 199995.2} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) - rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 167360.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) - rate-constant: {A: 20800000.000000004, b: -1.24, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) - rate-constant: {A: 11260000.000000002, b: -0.76, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + H(4) <=> O(2) + OH(5) - rate-constant: {A: 26500000000.000004, b: -0.6707, Ea: 71299.54400000001} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) - rate-constant: {A: 90000.00000000001, b: -0.6, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) - rate-constant: {A: 60000000.00000001, b: -1.25, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) - rate-constant: {A: 550000000.0000001, b: -2.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> O(2) + H2O(28) - rate-constant: {A: 3970000.0000000005, b: 0.0, Ea: 2807.464} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> O2(7) + H2(3) - rate-constant: {A: 44800000.00000001, b: 0.0, Ea: 4468.512000000001} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> OH(5) + OH(5) - rate-constant: {A: 84000000.00000001, b: 0.0, Ea: 2656.84} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) - rate-constant: {A: 12.100000000000001, b: 2.0, Ea: 21756.8} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 15062.400000000001} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH(9) <=> H2(3) + C(29) - rate-constant: {A: 165000000.00000003, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) - rate-constant: {A: 660.0000000000001, b: 1.62, Ea: 45354.560000000005} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HCO(12) <=> H2(3) + CO(10) - rate-constant: {A: 73400000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) - rate-constant: {A: 57.40000000000001, b: 1.9, Ea: 11472.528} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) - rate-constant: {A: 165000.00000000003, b: 0.65, Ea: -1188.256} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) - rate-constant: {A: 32800000.000000004, b: -0.09, Ea: 2552.2400000000002} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) - rate-constant: {A: 41.50000000000001, b: 1.63, Ea: 8050.0160000000005} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) - rate-constant: {A: 1500000.0000000002, b: 0.5, Ea: -460.24} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) - rate-constant: {A: 262000000.00000003, b: -0.23, Ea: 4476.88} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) - rate-constant: {A: 17.000000000000004, b: 2.1, Ea: 20376.08} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) - rate-constant: {A: 4.200000000000001, b: 2.1, Ea: 20376.08} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) - rate-constant: {A: 1.3250000000000002, b: 2.53, Ea: 51212.16} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) - rate-constant: {A: 2000000.0000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) - rate-constant: {A: 115.00000000000001, b: 1.9, Ea: 31505.52} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) - rate-constant: {A: 100000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 33472.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) - rate-constant: {A: 11300000.000000002, b: 0.0, Ea: 14342.752} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + H2(3) <=> H(4) + H2O(28) - rate-constant: {A: 216.00000000000003, b: 1.51, Ea: 14351.12} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + OH(5) <=> O(2) + H2O(28) - rate-constant: {A: 0.0357, b: 2.4, Ea: -8828.24} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) - duplicate: true - rate-constant: {A: 14500000.000000002, b: 0.0, Ea: -2092.0} -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) - duplicate: true - rate-constant: {A: 5000000000.000001, b: 0.0, Ea: 72508.72} -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) - duplicate: true - rate-constant: {A: 2000000.0000000002, b: 0.0, Ea: 1786.568} -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) - duplicate: true - rate-constant: {A: 1700000000000.0002, b: 0.0, Ea: 123051.44} -- equation: OH(5) + C(29) <=> H(4) + CO(10) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH(9) <=> H(4) + HCO(12) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) - rate-constant: {A: 11.300000000000002, b: 2.0, Ea: 12552.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) - rate-constant: {A: 56.00000000000001, b: 1.6, Ea: 22677.280000000002} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) - rate-constant: {A: 644000000000.0001, b: -1.34, Ea: 5928.728} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) - rate-constant: {A: 100.00000000000001, b: 1.6, Ea: 13054.08} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CO(10) <=> H(4) + CO2(17) - rate-constant: {A: 47.60000000000001, b: 1.228, Ea: 292.88} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) - rate-constant: {A: 3430.0000000000005, b: 1.18, Ea: -1870.248} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) - rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) - rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) - rate-constant: {A: 1.4400000000000002, b: 2.0, Ea: -3514.56} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) - rate-constant: {A: 6.300000000000001, b: 2.0, Ea: 6276.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) - rate-constant: {A: 2.1800000000000005e-10, b: 4.5, Ea: -4184.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) - rate-constant: {A: 0.5040000000000001, b: 2.3, Ea: 56484.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) - rate-constant: {A: 33.7, b: 2.0, Ea: 58576.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) - rate-constant: {A: 4.830000000000001e-10, b: 4.0, Ea: -8368.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) - rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) - rate-constant: {A: 3.6000000000000005, b: 2.0, Ea: 10460.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) - rate-constant: {A: 3.5400000000000005, b: 2.12, Ea: 3640.08} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) - rate-constant: {A: 7500000.000000001, b: 0.0, Ea: 8368.0} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) - duplicate: true - rate-constant: {A: 130000.00000000001, b: 0.0, Ea: -6819.92} -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) - duplicate: true - rate-constant: {A: 420000000.00000006, b: 0.0, Ea: 50208.0} -- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) - rate-constant: {A: 20000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) - rate-constant: {A: 1000000.0000000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) - rate-constant: {A: 37800000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) - rate-constant: {A: 150000000.00000003, b: 0.0, Ea: 98742.40000000001} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) - rate-constant: {A: 5.6000000000000005, b: 2.0, Ea: 50208.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C(29) <=> O(2) + CO(10) - rate-constant: {A: 58000000.00000001, b: 0.0, Ea: 2409.984} - note: 'Source: Library GRI-Mech3.0' -- equation: C(29) + CH2(11) <=> H(4) + C2H(21) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH(9) <=> O(2) + HCO(12) - rate-constant: {A: 67100000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + CH(9) <=> H(4) + CH2(11) - rate-constant: {A: 108000000.00000001, b: 0.0, Ea: 13012.24} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) - rate-constant: {A: 5710000.000000001, b: 0.0, Ea: -3158.92} - note: 'Source: Library GRI-Mech3.0' -- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) - rate-constant: {A: 40000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) - rate-constant: {A: 60000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) - rate-constant: {A: 190000000.00000003, b: 0.0, Ea: 66073.728} - note: 'Source: Library GRI-Mech3.0' -- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) - rate-constant: {A: 94600000.00000001, b: 0.0, Ea: -2154.76} - note: 'Source: Library GRI-Mech3.0' -- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) - rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2(11) <=> H(4) + OH(5) + CO(10) - rate-constant: {A: 5000000.000000001, b: 0.0, Ea: 6276.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) - rate-constant: {A: 0.5000000000000001, b: 2.0, Ea: 30250.32} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) - rate-constant: {A: 1600000000.0000002, b: 0.0, Ea: 49973.696} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) - rate-constant: {A: 40000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) - rate-constant: {A: 2.4600000000000004, b: 2.0, Ea: 34601.68} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) - rate-constant: {A: 28000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) - rate-constant: {A: 12000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) - rate-constant: {A: 70000000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) - rate-constant: {A: 30000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) - rate-constant: {A: 12000000.000000002, b: 0.0, Ea: -2384.88} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) - rate-constant: {A: 16000000.000000002, b: 0.0, Ea: -2384.88} - note: 'Source: Library GRI-Mech3.0' -- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) - rate-constant: {A: 9000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) - rate-constant: {A: 7000000.000000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) - rate-constant: {A: 14000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) - rate-constant: {A: 40000000.00000001, b: 0.0, Ea: -2301.2000000000003} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) - rate-constant: {A: 35600000.00000001, b: 0.0, Ea: 127528.32} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) - rate-constant: {A: 2310000.0000000005, b: 0.0, Ea: 84997.96} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) - rate-constant: {A: 0.024500000000000004, b: 2.47, Ea: 21673.120000000003} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) - rate-constant: {A: 6840000.000000001, b: 0.1, Ea: 44350.4} - note: 'Source: Library GRI-Mech3.0' -- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) - rate-constant: {A: 26480000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) - rate-constant: {A: 0.0033200000000000005, b: 2.81, Ea: 24518.24} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) - rate-constant: {A: 30.000000000000004, b: 1.5, Ea: 41588.96} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) - rate-constant: {A: 10.000000000000002, b: 1.5, Ea: 41588.96} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) - rate-constant: {A: 0.22700000000000004, b: 2.0, Ea: 38492.8} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) - rate-constant: {A: 6.1400000000000015, b: 1.74, Ea: 43722.8} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) - rate-constant: {A: 1500000000000.0002, b: -1.0, Ea: 71128.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) - rate-constant: {A: 13450000.000000002, b: 0.0, Ea: 1673.6000000000001} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) - rate-constant: {A: 18000000.000000004, b: 0.0, Ea: 3765.6000000000004} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) - rate-constant: {A: 4.2800000000000005e-19, b: 7.6, Ea: -14769.52} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: -3158.92} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) - rate-constant: {A: 56800.00000000001, b: 0.9, Ea: 8338.712} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) - rate-constant: {A: 45800000000.00001, b: -1.39, Ea: 4246.76} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) - rate-constant: {A: 840000.0000000001, b: 0.0, Ea: 16213.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) - rate-constant: {A: 3200000.0000000005, b: 0.0, Ea: 3573.136} - note: 'Source: Library GRI-Mech3.0' -- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) - rate-constant: {A: 10000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3(14) <=> H(4) + H2(3) + CO(10) - rate-constant: {A: 33700000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) - rate-constant: {A: 6.700000000000001, b: 1.83, Ea: 920.48} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) - rate-constant: {A: 109600000.00000001, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3(14) <=> H2(3) + CH2O(15) - rate-constant: {A: 8000.000000000001, b: 0.5, Ea: -7342.92} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2(11) <=> H(4) + H(4) + CO2(17) - rate-constant: {A: 5800000.000000001, b: 0.0, Ea: 6276.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) - rate-constant: {A: 2400000.0000000005, b: 0.0, Ea: 6276.0} - note: 'Source: Library GRI-Mech3.0' -- equation: CH2(11) + CH2(11) <=> H(4) + H(4) + C2H2(22) - rate-constant: {A: 200000000.00000003, b: 0.0, Ea: 45977.976} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O(28) + CH2(S)(13) <=> H2(3) + CH2O(15) - rate-constant: {A: 68200.00000000001, b: 0.25, Ea: -3912.04} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) - rate-constant: {A: 303000.00000000006, b: 0.29, Ea: 46.024} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) - rate-constant: {A: 1.3370000000000002, b: 1.61, Ea: -1606.656} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) - rate-constant: {A: 2920000.0000000005, b: 0.0, Ea: 7564.6720000000005} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH3CHO(32) <=> OH(5) + CO(10) + CH3(14) - rate-constant: {A: 2920000.0000000005, b: 0.0, Ea: 7564.6720000000005} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH3CHO(32) <=> HO2(6) + CO(10) + CH3(14) - rate-constant: {A: 30100000.000000004, b: 0.0, Ea: 163803.6} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) - rate-constant: {A: 2050.0000000000005, b: 1.16, Ea: 10062.52} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3CHO(32) <=> H2(3) + CO(10) + CH3(14) - rate-constant: {A: 2050.0000000000005, b: 1.16, Ea: 10062.52} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3CHO(32) <=> H2O(28) + CO(10) + CH3(14) - rate-constant: {A: 23430.000000000004, b: 0.73, Ea: -4656.792} - note: 'Source: Library GRI-Mech3.0' -- equation: HO2(6) + CH3CHO(32) <=> H2O2(8) + CO(10) + CH3(14) - rate-constant: {A: 3010000.0000000005, b: 0.0, Ea: 49885.832} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + CH3CHO(32) <=> CO(10) + CH3(14) + CH4(16) - rate-constant: {A: 2.7200000000000006, b: 1.77, Ea: 24769.280000000002} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CH2CHO(31) <=> H(4) + CO2(17) + CH2(11) - rate-constant: {A: 150000000.00000003, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2CHO(31) <=> OH(5) + CO(10) + CH2O(15) - rate-constant: {A: 18100.000000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + CH2CHO(31) <=> OH(5) + HCO(12) + HCO(12) - rate-constant: {A: 23500.000000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) - rate-constant: {A: 22000000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) - rate-constant: {A: 11000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) - rate-constant: {A: 12000000.000000002, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) - rate-constant: {A: 30100000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + O(2) (+ M) <=> O2(7) (+ M) - type: three-body - rate-constant: {A: 120000.00000000001, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2, CO2(17): 3.6, ethane(1): 3, H2O(28): 15.4, H2(3): 2.4, - Ar: 0.83} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + H(4) (+ M) <=> OH(5) (+ M) - type: three-body - rate-constant: {A: 500000.0000000001, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: O2(7) + H(4) (+ M) <=> HO2(6) (+ M) - type: three-body - rate-constant: {A: 2800000.0000000005, b: -0.86, Ea: 0.0} - efficiencies: {CO2(17): 1.5, ethane(1): 1.5, H2O(28): 0, O2(7): 0, N2: 0, Ar: 0} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + H(4) (+ M) <=> H2(3) (+ M) - type: three-body - rate-constant: {A: 1000000.0000000002, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2, CO2(17): 0, ethane(1): 3, H2O(28): 0, H2(3): 0, Ar: 0.63} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + OH(5) (+ M) <=> H2O(28) (+ M) - type: three-body - rate-constant: {A: 22000000000.000004, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3, CH4(16): 2, H2(3): 0.73, H2O(28): 3.65, Ar: 0.38} - note: 'Source: Library GRI-Mech3.0' -- equation: HCO(12) (+ M) <=> H(4) + CO(10) (+ M) - type: three-body - rate-constant: {A: 187000000000.00003, b: -1.0, Ea: 71128.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 0, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: O(2) + CO(10) (+ M) <=> CO2(17) (+ M) - type: falloff - high-P-rate-constant: {A: 18000.000000000004, b: 0.0, Ea: 9978.84} - low-P-rate-constant: {A: 602.0000000000001, b: 0.0, Ea: 12552.0} - efficiencies: {CH4(16): 2, CO2(17): 3.5, ethane(1): 3, H2O(28): 6, H2(3): 2, O2(7): 6, - Ar: 0.5} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2(11) (+ M) <=> CH3(14) (+ M) - type: falloff - high-P-rate-constant: {A: 600000000.0000001, b: 0.0, Ea: 0.0} - low-P-rate-constant: {A: 104000000000000.02, b: -2.76, Ea: 6694.400000000001} - Troe: {A: 0.562, T3: 91.0, T1: 5836.0, T2: 8552.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3(14) (+ M) <=> CH4(16) (+ M) - type: falloff - high-P-rate-constant: {A: 13900000000.000002, b: -0.534, Ea: 2242.6240000000003} - low-P-rate-constant: {A: 2.6200000000000005e+21, b: -4.76, Ea: 10208.960000000001} - Troe: {A: 0.783, T3: 74.0, T1: 2941.0, T2: 6964.0} - efficiencies: {CH4(16): 3, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HCO(12) (+ M) <=> CH2O(15) (+ M) - type: falloff - high-P-rate-constant: {A: 1090000.0000000002, b: 0.48, Ea: -1087.8400000000001} - low-P-rate-constant: {A: 2470000000000.0005, b: -2.57, Ea: 1778.2} - Troe: {A: 0.7824, T3: 271.0, T1: 2755.0, T2: 6570.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2O(15) (+ M) <=> CH2OH(18) (+ M) - type: falloff - high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 15062.400000000001} - low-P-rate-constant: {A: 1.2700000000000002e+20, b: -4.82, Ea: 27321.52} - Troe: {A: 0.7187, T3: 103.0, T1: 1291.0, T2: 4160.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2O(15) (+ M) <=> CH3O(19) (+ M) - type: falloff - high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 10878.4} - low-P-rate-constant: {A: 2.2000000000000005e+18, b: -4.8, Ea: 23263.04} - Troe: {A: 0.758, T3: 94.0, T1: 1555.0, T2: 4200.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2OH(18) (+ M) <=> CH3OH(20) (+ M) - type: falloff - high-P-rate-constant: {A: 1055000.0000000002, b: 0.5, Ea: 359.824} - low-P-rate-constant: {A: 4.360000000000001e+19, b: -4.65, Ea: 21254.72} - Troe: {A: 0.6, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH3O(19) (+ M) <=> CH3OH(20) (+ M) - type: falloff - high-P-rate-constant: {A: 2430000.0000000005, b: 0.515, Ea: 209.20000000000002} - low-P-rate-constant: {A: 4.660000000000001e+29, b: -7.44, Ea: 58910.72} - Troe: {A: 0.7, T3: 100.0, T1: 90000.0, T2: 10000.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H(21) (+ M) <=> C2H2(22) (+ M) - type: falloff - high-P-rate-constant: {A: 100000000000.00002, b: -1.0, Ea: 0.0} - low-P-rate-constant: {A: 3.750000000000001e+21, b: -4.8, Ea: 7949.6} - Troe: {A: 0.6464, T3: 132.0, T1: 1315.0, T2: 5566.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H2(22) (+ M) <=> C2H3(24) (+ M) - type: falloff - high-P-rate-constant: {A: 5600000.000000001, b: 0.0, Ea: 10041.6} - low-P-rate-constant: {A: 3.8000000000000008e+28, b: -7.27, Ea: 30208.48} - Troe: {A: 0.7507, T3: 98.5, T1: 1302.0, T2: 4167.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H3(24) (+ M) <=> C2H4(26) (+ M) - type: falloff - high-P-rate-constant: {A: 6080000.000000001, b: 0.27, Ea: 1171.52} - low-P-rate-constant: {A: 1.4000000000000003e+18, b: -3.86, Ea: 13890.880000000001} - Troe: {A: 0.782, T3: 207.5, T1: 2663.0, T2: 6095.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H4(26) (+ M) <=> C2H5(27) (+ M) - type: falloff - high-P-rate-constant: {A: 540000.0000000001, b: 0.454, Ea: 7614.88} - low-P-rate-constant: {A: 6.0000000000000005e+29, b: -7.62, Ea: 29162.48} - Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4374.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + C2H5(27) (+ M) <=> ethane(1) (+ M) - type: falloff - high-P-rate-constant: {A: 521000000000.00006, b: -0.99, Ea: 6610.72} - low-P-rate-constant: {A: 1.9900000000000005e+29, b: -7.08, Ea: 27970.04} - Troe: {A: 0.8422, T3: 125.0, T1: 2219.0, T2: 6882.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + CO(10) (+ M) <=> CH2O(15) (+ M) - type: falloff - high-P-rate-constant: {A: 43.00000000000001, b: 1.5, Ea: 333046.4} - low-P-rate-constant: {A: 5070000000000001.0, b: -3.42, Ea: 352920.4} - Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 10300.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + OH(5) (+ M) <=> H2O2(8) (+ M) - type: falloff - high-P-rate-constant: {A: 74000000.00000001, b: -0.37, Ea: 0.0} - low-P-rate-constant: {A: 2300000.0000000005, b: -0.9, Ea: -7112.8} - Troe: {A: 0.7346, T3: 94.0, T1: 1756.0, T2: 5182.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: OH(5) + CH3(14) (+ M) <=> CH3OH(20) (+ M) - type: falloff - high-P-rate-constant: {A: 2790000000000.0005, b: -1.43, Ea: 5564.72} - low-P-rate-constant: {A: 4.000000000000001e+24, b: -5.92, Ea: 13137.76} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6394.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: CO(10) + CH(9) (+ M) <=> HCCO(23) (+ M) - type: falloff - high-P-rate-constant: {A: 50000000.00000001, b: 0.0, Ea: 0.0} - low-P-rate-constant: {A: 2.6900000000000004e+16, b: -3.74, Ea: 8100.224} - Troe: {A: 0.5757, T3: 237.0, T1: 1652.0, T2: 5069.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: CO(10) + CH2(11) (+ M) <=> CH2CO(25) (+ M) - type: falloff - high-P-rate-constant: {A: 810000.0000000001, b: 0.5, Ea: 18869.84} - low-P-rate-constant: {A: 2.6900000000000005e+21, b: -5.11, Ea: 29685.48} - Troe: {A: 0.5907, T3: 275.0, T1: 1226.0, T2: 5185.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H2O(28) + CH2(S)(13) (+ M) <=> CH3OH(20) (+ M) - type: falloff - high-P-rate-constant: {A: 482000000000.00006, b: -1.16, Ea: 4790.68} - low-P-rate-constant: {A: 1.8800000000000002e+26, b: -6.36, Ea: 21087.36} - Troe: {A: 0.6027, T3: 208.0, T1: 3922.0, T2: 10180.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + CH3(14) (+ M) <=> ethane(1) (+ M) - type: falloff - high-P-rate-constant: {A: 67700000000.00001, b: -1.18, Ea: 2736.3360000000002} - low-P-rate-constant: {A: 3.4000000000000005e+29, b: -7.03, Ea: 11556.208} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 9999.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: C2H4(26) (+ M) <=> H2(3) + C2H2(22) (+ M) - type: falloff - high-P-rate-constant: {A: 8000000000000.0, b: 0.44, Ea: 363045.68} - low-P-rate-constant: {A: 1.5800000000000004e+45, b: -9.3, Ea: 409195.2} - Troe: {A: 0.7345, T3: 180.0, T1: 1035.0, T2: 5417.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H2(3) + CH(9) (+ M) <=> CH3(14) (+ M) - type: falloff - high-P-rate-constant: {A: 1970000.0000000002, b: 0.43, Ea: -1548.0800000000002} - low-P-rate-constant: {A: 48200000000000.01, b: -2.8, Ea: 2468.56} - Troe: {A: 0.578, T3: 122.0, T1: 2535.0, T2: 9365.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + CH2CO(25) (+ M) <=> CH2CHO(31) (+ M) - type: falloff - high-P-rate-constant: {A: 486500.00000000006, b: 0.422, Ea: -7342.92} - low-P-rate-constant: {A: 1.0120000000000002e+30, b: -7.63, Ea: 16125.136} - Troe: {A: 0.465, T3: 201.0, T1: 1773.0, T2: 5333.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: CH3(14) + C2H5(27) (+ M) <=> C3H8(33) (+ M) - type: falloff - high-P-rate-constant: {A: 9430000.000000002, b: 0.0, Ea: 0.0} - low-P-rate-constant: {A: 2.7100000000000003e+62, b: -16.82, Ea: 54663.96} - Troe: {A: 0.1527, T3: 291.0, T1: 2742.0, T2: 7748.0} - efficiencies: {CH4(16): 2, CO2(17): 2, ethane(1): 3, H2O(28): 6, H2(3): 2, Ar: 0.7} - note: 'Source: Library GRI-Mech3.0' -- equation: H(4) + HO2(6) <=> H2O2(8) - rate-constant: {A: 5250.69, b: 1.27262, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O - in family R_Recombination.' -- equation: H(4) + CH(9) <=> CH2(S)(13) - rate-constant: {A: 53700000.0, b: 0.15395, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O - in family R_Recombination.' -- equation: H(4) + HCCO(23) <=> CH2CO(25) - rate-constant: {A: 11386000.0, b: 0.308956, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R - in family R_Recombination.' -- equation: OH(5) + C2H(21) <=> HCCOH(30) - rate-constant: {A: 77000000.0, b: 4.95181e-08, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R - in family R_Recombination.' -- equation: H(4) + HCCO(23) <=> HCCOH(30) - rate-constant: {A: 2805150.0, b: 0.314888, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O - in family R_Recombination.' -- equation: HCO(12) + CH3(14) <=> CH3CHO(32) - rate-constant: {A: 18100000.000000004, b: 0.0, Ea: 0.0} - note: 'Source: Template family R_Recombination | Matched reaction 71 CH3 + CHO <=> - C2H4O in R_Recombination/training; This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O]; - family: R_Recombination' -- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) - rate-constant: {A: 78286700.0, b: 0.0631113, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN - in family R_Recombination.' -- equation: CH(9) + CH(9) <=> C2H2(22) - rate-constant: {A: 99813.0, b: 0.610916, Ea: 0.0} - note: 'Source: Template family R_Recombination | Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing - in family R_Recombination.' diff --git a/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml b/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml deleted file mode 100644 index cc02d4340e6..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/ck2yaml/from_main_test.yaml +++ /dev/null @@ -1,2151 +0,0 @@ -generator: ck2yaml -input-files: [chem_annotated.inp, tran.dat] -cantera-version: 3.1.0 -date: Mon, 11 May 2026 23:59:04 -0400 - -units: {length: cm, time: s, quantity: mol, activation-energy: - kcal/mol} - -phases: -- name: gas - thermo: ideal-gas - elements: [H, D, T, C, Ci, O, Oi, N, Ne, Ar, He, Si, S, F, Cl, Br, I, - X] - species: [N2, Ar, He, Ne, ethane(1), O(2), H2(3), H(4), OH(5), - HO2(6), O2(7), H2O2(8), CH(9), CO(10), CH2(11), HCO(12), - CH2(S)(13), CH3(14), CH2O(15), CH4(16), CO2(17), CH2OH(18), - CH3O(19), CH3OH(20), C2H(21), C2H2(22), HCCO(23), C2H3(24), - CH2CO(25), C2H4(26), C2H5(27), H2O(28), C(29), HCCOH(30), - CH2CHO(31), CH3CHO(32), C3H8(33)] - kinetics: gas - transport: mixture-averaged - state: {T: 300.0, P: 1 atm} - -elements: -- symbol: Ci - atomic-weight: 13.003 -- symbol: D - atomic-weight: 2.014 -- symbol: Oi - atomic-weight: 17.999 -- symbol: T - atomic-weight: 3.016 -- symbol: X - atomic-weight: 195.083 - -species: -- name: N2 - composition: {N: 2} - thermo: - model: NASA7 - temperature-ranges: [200.0, 1000.0, 6000.0] - data: - - [3.53101, -1.23661e-04, -5.02999e-07, 2.43531e-09, -1.40881e-12, - -1046.98, 2.96747] - - [2.95258, 1.3969e-03, -4.92632e-07, 7.8601e-11, -4.60755e-15, - -923.949, 5.87189] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 97.53 - diameter: 3.621 - polarizability: 1.76 - rotational-relaxation: 4.0 - note: GRI-Mech - note: ' N2' -- name: Ar - composition: {Ar: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 4.37967] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 136.501 - diameter: 3.33 - note: GRI-Mech - note: ' Ar' -- name: He - composition: {He: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 0.928724] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 10.2 - diameter: 2.576 - note: NOx2018 - note: ' He' -- name: Ne - composition: {Ne: 1} - thermo: - model: NASA7 - temperature-ranges: [200.0, 6000.0] - data: - - [2.5, 0.0, 0.0, 0.0, 0.0, -745.375, 3.35532] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 148.6 - diameter: 3.758 - note: Epsilon & sigma estimated with fixed Lennard Jones - Parameters. This is the fallback method! Try improving transport - databases! - note: ' Ne' -- name: ethane(1) - composition: {C: 2, H: 6} - thermo: - model: NASA7 - temperature-ranges: [100.0, 954.52, 5000.0] - data: - - [3.78032743, -3.24253681e-03, 5.52377174e-05, -6.38576566e-08, - 2.28635015e-11, -1.16203406e+04, 5.21036251] - - [4.58985736, 0.0141507296, -4.75959561e-06, 8.60288105e-10, - -6.21711501e-14, -1.27217763e+04, -3.61753754] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech - note: ' ethane(1)' -- name: O(2) - composition: {O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.43, 5000.0] - data: - - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, - 3.7931637e-24, 2.92302441e+04, 5.12616427] - - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, - 1.08448824e-21, 2.92302438e+04, 5.12616216] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: ' O(2)' -- name: H2(3) - composition: {H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1959.07, 5000.0] - data: - - [3.43536395, 2.12711816e-04, -2.78628359e-07, 3.40269768e-10, - -7.76038439e-14, -1031.35983, -3.90841667] - - [2.78818343, 5.87618075e-04, 1.59021122e-07, -5.52760511e-11, - 4.34326644e-15, -596.154654, 0.112628324] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 38.0 - diameter: 2.92 - polarizability: 0.79 - rotational-relaxation: 280.0 - note: GRI-Mech - note: ' H2(3)' -- name: H(4) - composition: {H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.43, 5000.0] - data: - - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, - 3.7931637e-24, 2.54742178e+04, -0.444972896] - - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, - 1.08448824e-21, 2.54742175e+04, -0.444975009] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 145.0 - diameter: 2.05 - note: GRI-Mech - note: ' H(4)' -- name: OH(5) - composition: {H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1145.75, 5000.0] - data: - - [3.51456804, 2.92774056e-05, -5.321635e-07, 1.01949044e-09, - -3.85945238e-13, 3414.2542, 2.10434885] - - [3.07193983, 6.04015655e-04, -1.39782691e-08, -2.13446151e-11, - 2.480657e-15, 3579.38675, 4.57799995] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: ' OH(5)' -- name: HO2(6) - composition: {H: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 932.16, 5000.0] - data: - - [4.04594317, -1.7346267e-03, 1.03765734e-05, -1.02201437e-08, - 3.34903651e-12, -986.754172, 4.63581899] - - [3.21024379, 3.67941084e-03, -1.2770104e-06, 2.18043988e-10, - -1.46336871e-14, -910.370624, 8.18288956] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH) - + radical(HOOJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 1.0 - note: GRI-Mech - note: ' HO2(6)' -- name: O2(7) - composition: {O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1074.56, 5000.0] - data: - - [3.53732171, -1.21570819e-03, 5.31617448e-06, -4.89442954e-09, - 1.45844853e-12, -1038.58846, 4.68368441] - - [3.15382478, 1.67803713e-03, -7.69970521e-07, 1.51274598e-10, - -1.08781705e-14, -1040.81902, 6.1675358] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 107.4 - diameter: 3.458 - polarizability: 1.6 - rotational-relaxation: 3.8 - note: GRI-Mech - note: ' O2(7)' -- name: H2O2(8) - composition: {H: 2, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 908.86, 5000.0] - data: - - [3.73137614, 3.35048251e-03, 9.35118753e-06, -1.52111685e-08, - 6.4164127e-12, -1.77211716e+04, 5.45904423] - - [5.41573779, 2.6101679e-03, -4.39943044e-07, 4.9121012e-11, - -3.35291495e-15, -1.83029324e+04, -4.02220593] - note: 'Thermo group additivity estimation: group(O2s-OsH) + group(O2s-OsH)' - transport: - model: gas - geometry: nonlinear - well-depth: 107.4 - diameter: 3.458 - rotational-relaxation: 3.8 - note: GRI-Mech - note: ' H2O2(8)' -- name: CH(9) - composition: {C: 1, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 926.5, 5000.0] - data: - - [4.11488417, -3.61060826e-04, -6.34736706e-06, 1.0588807e-08, - -4.57058172e-12, 7.50838553e+04, 1.61269351] - - [2.33973048, 1.7585842e-03, -8.02918198e-07, 1.40457762e-10, - -8.47499355e-15, 7.56507519e+04, 11.3254576] - note: 'Thermo library: primaryThermoLibrary + radical(Cs_P)' - transport: - model: gas - geometry: linear - well-depth: 80.0 - diameter: 2.75 - note: GRI-Mech - note: ' CH(9)' -- name: CO(10) - composition: {C: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1571.64, 5000.0] - data: - - [3.56838005, -8.52126267e-04, 2.4891797e-06, -1.56331209e-09, - 3.13595799e-13, -1.42842549e+04, 3.57912154] - - [2.91306263, 1.64658422e-03, -6.88618036e-07, 1.21038044e-10, - -7.84023278e-15, -1.41808824e+04, 6.71048116] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: linear - well-depth: 98.1 - diameter: 3.65 - polarizability: 1.95 - rotational-relaxation: 1.8 - note: GRI-Mech - note: ' CO(10)' -- name: CH2(11) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1104.63, 5000.0] - data: - - [4.01192382, -1.54978156e-04, 3.26297676e-06, -2.40421685e-09, - 5.69496337e-13, 4.58676802e+04, 0.53320072] - - [3.14983361, 2.96674306e-03, -9.76056125e-07, 1.54115348e-10, - -9.50338696e-15, 4.60581391e+04, 4.77807811] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: ' CH2(11)' -- name: HCO(12) - composition: {C: 1, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1565.71, 5000.0] - data: - - [4.3560244, -3.47091221e-03, 1.25665259e-05, -9.99499181e-09, - 2.27891737e-12, 3995.77033, 2.75111143] - - [4.61852076, 5.04477249e-03, -4.39251309e-06, 9.73304874e-10, - -7.07453455e-14, 2787.58225, -2.2287435] - note: 'Thermo group additivity estimation: group(Cds-OdHH) + radical(HCdsJO)' - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - note: GRI-Mech - note: ' HCO(12)' -- name: CH2(S)(13) - composition: {C: 1, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1442.36, 5000.0] - data: - - [4.10264368, -1.44068351e-03, 5.45068829e-06, -3.58001947e-09, - 7.56192481e-13, 5.04005785e+04, -0.411765588] - - [2.62647403, 3.94762922e-03, -1.49924134e-06, 2.5453915e-10, - -1.62955832e-14, 5.06917532e+04, 6.7837907] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: ' CH2(S)(13)' -- name: CH3(14) - composition: {C: 1, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1337.63, 5000.0] - data: - - [3.91546763, 1.84154304e-03, 3.48741815e-06, -3.32747665e-09, - 8.49957077e-13, 1.62856394e+04, 0.351741423] - - [3.54145722, 4.76786874e-03, -1.82148447e-06, 3.28876633e-10, - -2.22545631e-14, 1.6223958e+04, 1.66035119] - note: 'Thermo library: primaryThermoLibrary + radical(CH3)' - transport: - model: gas - geometry: nonlinear - well-depth: 144.001 - diameter: 3.8 - note: GRI-Mech - note: ' CH3(14)' -- name: CH2O(15) - composition: {C: 1, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1402.28, 5000.0] - data: - - [4.32289375, -5.06324948e-03, 2.15154952e-05, -1.76520796e-08, - 4.31813038e-12, -1.42789564e+04, 2.39243355] - - [3.1799899, 9.55593266e-03, -6.27298655e-06, 1.33553899e-09, - -9.68405406e-14, -1.50752458e+04, 4.31054242] - note: 'Thermo group additivity estimation: group(Cds-OdHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 498.002 - diameter: 3.59 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH2O(15)' -- name: CH4(16) - composition: {C: 1, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1084.12, 5000.0] - data: - - [4.20541668, -5.35559025e-03, 2.51123825e-05, -2.13763532e-08, - 5.97526701e-12, -1.01619434e+04, -0.921284487] - - [0.9082574, 0.0114540995, -4.57174601e-06, 8.29193467e-10, - -5.66316365e-14, -9719.97079, 13.9931416] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 141.4 - diameter: 3.746 - polarizability: 2.6 - rotational-relaxation: 13.0 - note: GRI-Mech - note: ' CH4(16)' -- name: CO2(17) - composition: {C: 1, O: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 988.87, 5000.0] - data: - - [3.27862297, 2.74138237e-03, 7.16123813e-06, -1.08033894e-08, - 4.14310458e-12, -4.8470315e+04, 5.9793235] - - [4.54605027, 2.91921056e-03, -1.1548821e-06, 2.27664285e-10, - -1.70918758e-14, -4.89803404e+04, -1.43249102] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + missing(O2d-Cdd) - + group(Cdd-OdOd)' - transport: - model: gas - geometry: linear - well-depth: 244.001 - diameter: 3.763 - polarizability: 2.65 - rotational-relaxation: 2.1 - note: GRI-Mech - note: ' CO2(17)' -- name: CH2OH(18) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 895.02, 5000.0] - data: - - [3.71174025, 1.9311458e-03, 2.1233857e-05, -3.03152881e-08, - 1.24875746e-11, -4007.45922, 7.29202062] - - [6.05631855, 3.02170363e-03, 1.72301096e-08, -6.96323338e-11, - 5.18258193e-15, -4890.51343, -6.34776467] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) - + radical(CsJOH)' - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH2OH(18)' -- name: CH3O(19) - composition: {C: 1, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 916.9, 5000.0] - data: - - [4.00133275, -4.15652648e-03, 3.26342688e-05, -3.71101808e-08, - 1.35701669e-11, -6.15151549, 6.8138019] - - [4.01629481, 6.26800789e-03, -1.5806074e-06, 2.44589052e-10, - -1.70322515e-14, -449.834191, 4.33839899] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH) - + radical(H3COJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 417.002 - diameter: 3.69 - dipole: 1.7 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH3O(19)' -- name: CH3OH(20) - composition: {C: 1, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 952.14, 5000.0] - data: - - [3.89496193, -7.71353989e-04, 2.64755184e-05, -2.91793661e-08, - 1.00834714e-11, -2.63358548e+04, 6.36475904] - - [3.13807814, 0.0103542067, -3.56957337e-06, 6.22286741e-10, - -4.27805599e-14, -2.65518955e+04, 8.08777881] - note: 'Thermo group additivity estimation: group(O2s-CsH) + group(Cs-OsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 481.802 - diameter: 3.626 - rotational-relaxation: 1.0 - note: GRI-Mech - note: ' CH3OH(20)' -- name: C2H(21) - composition: {C: 2, H: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1076.57, 5000.0] - data: - - [3.03852608, 0.0115449717, -2.13265776e-05, 1.81934989e-08, - -5.41598942e-12, 6.63980142e+04, 5.96677231] - - [4.0084898, 2.06811085e-03, 6.05262841e-08, -1.1771428e-10, - 1.29286645e-14, 6.65295067e+04, 2.79635744] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH) - + radical(Acetyl)' - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech - note: ' C2H(21)' -- name: C2H2(22) - composition: {C: 2, H: 2} - thermo: - model: NASA7 - temperature-ranges: [100.0, 888.63, 5000.0] - data: - - [3.03574154, 7.71246387e-03, 2.53464731e-06, -1.08129073e-08, - 5.50737874e-12, 2.58526446e+04, 4.5446335] - - [5.76205974, 2.37156193e-03, -1.49567346e-07, -2.19191668e-11, - 2.21810367e-15, 2.50944442e+04, -9.82616666] - note: 'Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)' - transport: - model: gas - geometry: linear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 2.5 - note: GRI-Mech - note: ' C2H2(22)' -- name: HCCO(23) - composition: {C: 2, H: 1, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 936.06, 5000.0] - data: - - [3.45647418, 0.0105728462, -7.35988853e-06, 7.97361462e-10, - 8.64535566e-13, 2.2595688e+04, 7.09495926] - - [5.99810082, 3.14480485e-03, -9.57807019e-07, 1.55622566e-10, - -1.04309528e-14, 2.19694663e+04, -5.80233718] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d) + radical(Cds_P)' - transport: - model: gas - geometry: nonlinear - well-depth: 150.001 - diameter: 2.5 - rotational-relaxation: 1.0 - note: GRI-Mech - note: ' HCCO(23)' -- name: C2H3(24) - composition: {C: 2, H: 3} - thermo: - model: NASA7 - temperature-ranges: [100.0, 931.96, 5000.0] - data: - - [3.90670522, -4.06240761e-03, 3.86779927e-05, -4.62976249e-08, - 1.72900314e-11, 3.47971783e+04, 6.09789055] - - [5.44796624, 4.98356009e-03, -1.08820699e-06, 1.79837127e-10, - -1.45096133e-14, 3.38297743e+04, -4.87808642] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) - + radical(Cds_P)' - transport: - model: gas - geometry: nonlinear - well-depth: 209.001 - diameter: 4.1 - rotational-relaxation: 1.0 - note: GRI-Mech - note: ' C2H3(24)' -- name: CH2CO(25) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 956.67, 5000.0] - data: - - [3.52748041, 7.08348624e-03, 9.17790038e-06, -1.64264897e-08, - 6.71163515e-12, -7123.94238, 5.74373417] - - [5.7648892, 5.96569767e-03, -1.9849265e-06, 3.5275928e-10, - -2.51631744e-14, -7928.97532, -6.92142789] - note: 'Thermo group additivity estimation: missing(O2d-Cdd) + group(Cds-(Cdd-O2d)HH) - + missing(Cdd-CdO2d)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH2CO(25)' -- name: C2H4(26) - composition: {C: 2, H: 4} - thermo: - model: NASA7 - temperature-ranges: [100.0, 940.42, 5000.0] - data: - - [3.9798415, -7.5767957e-03, 5.5301749e-05, -6.36282467e-08, - 2.3179462e-11, 5077.45672, 4.04588282] - - [5.2026856, 7.82495932e-03, -2.12714674e-06, 3.79765159e-10, - -2.94733066e-14, 3936.40756, -6.62238004] - note: 'Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 280.801 - diameter: 3.971 - rotational-relaxation: 1.5 - note: GRI-Mech - note: ' C2H4(26)' -- name: C2H5(27) - composition: {C: 2, H: 5} - thermo: - model: NASA7 - temperature-ranges: [100.0, 900.31, 5000.0] - data: - - [3.82183627, -3.43360854e-03, 5.09257457e-05, -6.20211879e-08, - 2.37073471e-11, 1.30660129e+04, 7.61643258] - - [5.15620831, 9.43122628e-03, -1.81946031e-06, 2.21195849e-10, - -1.43481362e-14, 1.20640828e+04, -2.91098384] - note: 'Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) - + radical(CCJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 252.301 - diameter: 4.302 - rotational-relaxation: 1.5 - note: GRI-Mech - note: ' C2H5(27)' -- name: H2O(28) - composition: {H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1130.23, 5000.0] - data: - - [4.05763503, -7.87926826e-04, 2.90874536e-06, -1.47515334e-09, - 2.12829286e-13, -3.02815866e+04, -0.311361165] - - [2.84325601, 2.75107645e-03, -7.81026468e-07, 1.07242484e-10, - -5.79382842e-15, -2.99586153e+04, 5.91038834] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: nonlinear - well-depth: 572.402 - diameter: 2.605 - dipole: 1.844 - rotational-relaxation: 4.0 - note: GRI-Mech - note: ' H2O(28)' -- name: C(29) - composition: {C: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 3937.43, 5000.0] - data: - - [2.5, -4.35596516e-14, 6.01870293e-17, -2.72230154e-20, - 3.7931637e-24, 8.54745247e+04, 3.65978421] - - [2.50000034, -3.23453715e-10, 1.15706352e-13, -1.83278703e-17, - 1.08448824e-21, 8.54745244e+04, 3.65978209] - note: 'Thermo library: primaryThermoLibrary' - transport: - model: gas - geometry: atom - well-depth: 71.4 - diameter: 3.298 - note: GRI-Mech - note: ' C(29)' -- name: HCCOH(30) - composition: {C: 2, H: 2, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 1009.87, 5000.0] - data: - - [3.30408797, 0.0125024849, -3.79519243e-06, -4.46312273e-09, - 2.66314967e-12, 8782.03556, 7.19718064] - - [6.71246907, 5.14830696e-03, -2.00076994e-06, 3.78815895e-10, - -2.74088612e-14, 7780.22962, -10.8314551] - note: 'Thermo group additivity estimation: group(O2s-CtH) + group(Ct-CtOs) - + group(Ct-CtH)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' HCCOH(30)' -- name: CH2CHO(31) - composition: {C: 2, H: 3, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 914.21, 5000.0] - data: - - [3.34719684, 1.28727408e-03, 5.39986812e-05, -7.84143869e-08, - 3.24085502e-11, -2992.84606, 8.97293214] - - [11.726019, -1.47345443e-03, 2.90734463e-06, -5.96982757e-10, - 3.70269398e-14, -5941.48417, -38.4463677] - note: 'Thermo group additivity estimation: group(O2s-(Cds-Cd)H) + group(Cds-CdsOsH) - + group(Cds-CdsHH) + radical(C=COJ)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH2CHO(31)' -- name: CH3CHO(32) - composition: {C: 2, H: 4, O: 1} - thermo: - model: NASA7 - temperature-ranges: [100.0, 984.2, 5000.0] - data: - - [3.70078992, 3.87825421e-04, 3.86929053e-05, -4.52447301e-08, - 1.58859302e-11, -2.13809084e+04, 9.13562173] - - [4.58889168, 0.0128893767, -4.91502181e-06, 9.26508716e-10, - -6.71011615e-14, -2.23360138e+04, 0.90108904] - note: 'Thermo group additivity estimation: group(Cs-(Cds-O2d)HHH) + - group(Cds-OdCsH)' - transport: - model: gas - geometry: nonlinear - well-depth: 436.001 - diameter: 3.97 - rotational-relaxation: 2.0 - note: GRI-Mech - note: ' CH3CHO(32)' -- name: C3H8(33) - composition: {C: 3, H: 8} - thermo: - model: NASA7 - temperature-ranges: [100.0, 986.58, 5000.0] - data: - - [3.05255278, 0.0125100989, 3.79380581e-05, -5.12014569e-08, - 1.8706167e-11, -1.44541762e+04, 10.0672929] - - [5.91321485, 0.0218761669, -8.17655752e-06, 1.49853338e-09, - -1.05990368e-13, -1.60389e+04, -8.865845] - note: 'Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) - + group(Cs-CsHHH)' - transport: - model: gas - geometry: nonlinear - well-depth: 266.801 - diameter: 4.982 - rotational-relaxation: 1.0 - note: GRI-Mech - note: ' C3H8(33)' - -reactions: -- equation: O(2) + H2(3) <=> H(4) + OH(5) # Reaction 1 - rate-constant: {A: 3.87e+04, b: 2.7, Ea: 6.26} - note: | - Reaction index: Chemkin #1; RMG #1 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), OH(5); H2(3), H(4); -- equation: O(2) + HO2(6) <=> O2(7) + OH(5) # Reaction 2 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #2; RMG #2 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), O2(7); O(2), OH(5); -- equation: O(2) + H2O2(8) <=> OH(5) + HO2(6) # Reaction 3 - rate-constant: {A: 9.63e+06, b: 2.0, Ea: 4.0} - note: | - Reaction index: Chemkin #3; RMG #3 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), HO2(6); O(2), OH(5); -- equation: O(2) + CH(9) <=> H(4) + CO(10) # Reaction 4 - rate-constant: {A: 5.7e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #4; RMG #4 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CO(10); O(2), H(4); -- equation: O(2) + CH2(11) <=> H(4) + HCO(12) # Reaction 5 - rate-constant: {A: 8.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #5; RMG #5 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), HCO(12); O(2), H(4); -- equation: O(2) + CH2(S)(13) <=> H2(3) + CO(10) # Reaction 6 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #6; RMG #6 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O(2), H2(3); -- equation: O(2) + CH2(S)(13) <=> H(4) + HCO(12) # Reaction 7 - rate-constant: {A: 1.5e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #7; RMG #7 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), HCO(12); O(2), H(4); -- equation: O(2) + CH3(14) <=> H(4) + CH2O(15) # Reaction 8 - rate-constant: {A: 5.06e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #8; RMG #8 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); O(2), H(4); -- equation: O(2) + CH4(16) <=> OH(5) + CH3(14) # Reaction 9 - rate-constant: {A: 1.02e+09, b: 1.5, Ea: 8.6} - note: | - Reaction index: Chemkin #9; RMG #9 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); O(2), OH(5); -- equation: O(2) + HCO(12) <=> OH(5) + CO(10) # Reaction 10 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #10; RMG #10 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); O(2), OH(5); -- equation: O(2) + HCO(12) <=> H(4) + CO2(17) # Reaction 11 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #11; RMG #11 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO2(17); O(2), H(4); -- equation: O(2) + CH2O(15) <=> OH(5) + HCO(12) # Reaction 12 - rate-constant: {A: 3.9e+13, b: 0.0, Ea: 3.54} - note: | - Reaction index: Chemkin #12; RMG #12 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); O(2), OH(5); -- equation: O(2) + CH2OH(18) <=> OH(5) + CH2O(15) # Reaction 13 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #13; RMG #13 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); O(2), OH(5); -- equation: O(2) + CH3O(19) <=> OH(5) + CH2O(15) # Reaction 14 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #14; RMG #14 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); O(2), OH(5); -- equation: O(2) + CH3OH(20) <=> OH(5) + CH2OH(18) # Reaction 15 - rate-constant: {A: 3.88e+05, b: 2.5, Ea: 3.1} - note: | - Reaction index: Chemkin #15; RMG #15 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); O(2), OH(5); -- equation: O(2) + CH3OH(20) <=> OH(5) + CH3O(19) # Reaction 16 - rate-constant: {A: 1.3e+05, b: 2.5, Ea: 5.0} - note: | - Reaction index: Chemkin #16; RMG #16 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); O(2), OH(5); -- equation: O(2) + C2H(21) <=> CO(10) + CH(9) # Reaction 17 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #17; RMG #17 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), CO(10); O(2), CH(9); -- equation: O(2) + C2H2(22) <=> H(4) + HCCO(23) # Reaction 18 - rate-constant: {A: 1.35e+07, b: 2.0, Ea: 1.9} - note: | - Reaction index: Chemkin #18; RMG #18 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), HCCO(23); O(2), H(4); -- equation: O(2) + C2H2(22) <=> OH(5) + C2H(21) # Reaction 19 - rate-constant: {A: 4.6e+19, b: -1.41, Ea: 28.95} - note: | - Reaction index: Chemkin #19; RMG #19 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), C2H(21); O(2), OH(5); -- equation: O(2) + C2H2(22) <=> CO(10) + CH2(11) # Reaction 20 - rate-constant: {A: 6.94e+06, b: 2.0, Ea: 1.9} - note: | - Reaction index: Chemkin #20; RMG #20 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CO(10); O(2), CH2(11); -- equation: O(2) + C2H3(24) <=> H(4) + CH2CO(25) # Reaction 21 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #21; RMG #21 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2CO(25); O(2), H(4); -- equation: O(2) + C2H4(26) <=> HCO(12) + CH3(14) # Reaction 22 - rate-constant: {A: 1.25e+07, b: 1.83, Ea: 0.22} - note: | - Reaction index: Chemkin #22; RMG #22 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), HCO(12); O(2), CH3(14); -- equation: O(2) + C2H5(27) <=> CH2O(15) + CH3(14) # Reaction 23 - rate-constant: {A: 2.24e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #23; RMG #23 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), CH2O(15); O(2), CH3(14); -- equation: O(2) + ethane(1) <=> OH(5) + C2H5(27) # Reaction 24 - rate-constant: {A: 8.98e+07, b: 1.92, Ea: 5.69} - note: | - Reaction index: Chemkin #24; RMG #24 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); O(2), OH(5); -- equation: O(2) + HCCO(23) <=> H(4) + CO(10) + CO(10) # Reaction 25 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #25; RMG #25 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); O(2), H(4); O(2), CO(10); -- equation: O(2) + CH2CO(25) <=> OH(5) + HCCO(23) # Reaction 26 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 8.0} - note: | - Reaction index: Chemkin #26; RMG #26 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); O(2), OH(5); -- equation: O(2) + CH2CO(25) <=> CO2(17) + CH2(11) # Reaction 27 - rate-constant: {A: 1.75e+12, b: 0.0, Ea: 1.35} - note: | - Reaction index: Chemkin #27; RMG #27 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), CO2(17); O(2), CH2(11); -- equation: O2(7) + CO(10) <=> O(2) + CO2(17) # Reaction 28 - rate-constant: {A: 2.5e+12, b: 0.0, Ea: 47.8} - note: | - Reaction index: Chemkin #28; RMG #28 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); O2(7), O(2); -- equation: O2(7) + CH2O(15) <=> HO2(6) + HCO(12) # Reaction 29 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 40.0} - note: | - Reaction index: Chemkin #29; RMG #29 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); O2(7), HO2(6); -- equation: O2(7) + O2(7) + H(4) <=> O2(7) + HO2(6) # Reaction 30 - rate-constant: {A: 2.08e+19, b: -1.24, Ea: 0.0} - note: | - Reaction index: Chemkin #30; RMG #30 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), O2(7); O2(7), O2(7); -- equation: O2(7) + H(4) + H2O(28) <=> HO2(6) + H2O(28) # Reaction 31 - rate-constant: {A: 1.126e+19, b: -0.76, Ea: 0.0} - note: | - Reaction index: Chemkin #31; RMG #31 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), H2O(28); H2O(28), H2O(28); -- equation: O2(7) + H(4) <=> O(2) + OH(5) # Reaction 32 - rate-constant: {A: 2.65e+16, b: -0.671, Ea: 17.041} - note: | - Reaction index: Chemkin #32; RMG #32 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), OH(5); H(4), O(2); -- equation: H(4) + H(4) + H2(3) <=> H2(3) + H2(3) # Reaction 33 - rate-constant: {A: 9.0e+16, b: -0.6, Ea: 0.0} - note: | - Reaction index: Chemkin #33; RMG #33 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), H2(3); H(4), H2(3); H(4), H2(3); -- equation: H(4) + H(4) + H2O(28) <=> H2(3) + H2O(28) # Reaction 34 - rate-constant: {A: 6.0e+19, b: -1.25, Ea: 0.0} - note: | - Reaction index: Chemkin #34; RMG #34 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O(28), H2O(28); H(4), H2(3); H(4), H2(3); -- equation: H(4) + H(4) + CO2(17) <=> H2(3) + CO2(17) # Reaction 35 - rate-constant: {A: 5.5e+20, b: -2.0, Ea: 0.0} - note: | - Reaction index: Chemkin #35; RMG #35 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CO2(17); H(4), H2(3); H(4), H2(3); -- equation: H(4) + HO2(6) <=> O(2) + H2O(28) # Reaction 36 - rate-constant: {A: 3.97e+12, b: 0.0, Ea: 0.671} - note: | - Reaction index: Chemkin #36; RMG #36 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), H2O(28); H(4), O(2); -- equation: H(4) + HO2(6) <=> O2(7) + H2(3) # Reaction 37 - rate-constant: {A: 4.48e+13, b: 0.0, Ea: 1.068} - note: | - Reaction index: Chemkin #37; RMG #37 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), O2(7); H(4), H2(3); -- equation: H(4) + HO2(6) <=> OH(5) + OH(5) # Reaction 38 - rate-constant: {A: 8.4e+13, b: 0.0, Ea: 0.635} - note: | - Reaction index: Chemkin #38; RMG #38 - Library reaction: GRI-Mech3.0 - Flux pairs: HO2(6), OH(5); H(4), OH(5); -- equation: H(4) + H2O2(8) <=> HO2(6) + H2(3) # Reaction 39 - rate-constant: {A: 1.21e+07, b: 2.0, Ea: 5.2} - note: | - Reaction index: Chemkin #39; RMG #39 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), HO2(6); H(4), H2(3); -- equation: H(4) + H2O2(8) <=> OH(5) + H2O(28) # Reaction 40 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 3.6} - note: | - Reaction index: Chemkin #40; RMG #40 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O2(8), H2O(28); H(4), OH(5); -- equation: H(4) + CH(9) <=> H2(3) + C(29) # Reaction 41 - rate-constant: {A: 1.65e+14, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #41; RMG #41 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), C(29); H(4), H2(3); -- equation: H(4) + CH2(S)(13) <=> H2(3) + CH(9) # Reaction 42 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #42; RMG #42 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH(9); H(4), H2(3); -- equation: H(4) + CH4(16) <=> H2(3) + CH3(14) # Reaction 43 - rate-constant: {A: 6.6e+08, b: 1.62, Ea: 10.84} - note: | - Reaction index: Chemkin #43; RMG #43 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); H(4), H2(3); -- equation: H(4) + HCO(12) <=> H2(3) + CO(10) # Reaction 44 - rate-constant: {A: 7.34e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #44; RMG #44 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); H(4), H2(3); -- equation: H(4) + CH2O(15) <=> H2(3) + HCO(12) # Reaction 45 - rate-constant: {A: 5.74e+07, b: 1.9, Ea: 2.742} - note: | - Reaction index: Chemkin #45; RMG #45 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); H(4), H2(3); -- equation: H(4) + CH2OH(18) <=> H2(3) + CH2O(15) # Reaction 46 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #46; RMG #46 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); H(4), H2(3); -- equation: H(4) + CH2OH(18) <=> OH(5) + CH3(14) # Reaction 47 - rate-constant: {A: 1.65e+11, b: 0.65, Ea: -0.284} - note: | - Reaction index: Chemkin #47; RMG #47 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH3(14); H(4), OH(5); -- equation: H(4) + CH2OH(18) <=> H2O(28) + CH2(S)(13) # Reaction 48 - rate-constant: {A: 3.28e+13, b: -0.09, Ea: 0.61} - note: | - Reaction index: Chemkin #48; RMG #48 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2(S)(13); H(4), H2O(28); -- equation: H(4) + CH3O(19) <=> H(4) + CH2OH(18) # Reaction 49 - rate-constant: {A: 4.15e+07, b: 1.63, Ea: 1.924} - note: | - Reaction index: Chemkin #49; RMG #49 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2OH(18); H(4), H(4); -- equation: H(4) + CH3O(19) <=> H2(3) + CH2O(15) # Reaction 50 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #50; RMG #50 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); H(4), H2(3); -- equation: H(4) + CH3O(19) <=> OH(5) + CH3(14) # Reaction 51 - rate-constant: {A: 1.5e+12, b: 0.5, Ea: -0.11} - note: | - Reaction index: Chemkin #51; RMG #51 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH3(14); H(4), OH(5); -- equation: H(4) + CH3O(19) <=> H2O(28) + CH2(S)(13) # Reaction 52 - rate-constant: {A: 2.62e+14, b: -0.23, Ea: 1.07} - note: | - Reaction index: Chemkin #52; RMG #52 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2(S)(13); H(4), H2O(28); -- equation: H(4) + CH3OH(20) <=> H2(3) + CH2OH(18) # Reaction 53 - rate-constant: {A: 1.7e+07, b: 2.1, Ea: 4.87} - note: | - Reaction index: Chemkin #53; RMG #53 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); H(4), H2(3); -- equation: H(4) + CH3OH(20) <=> H2(3) + CH3O(19) # Reaction 54 - rate-constant: {A: 4.2e+06, b: 2.1, Ea: 4.87} - note: | - Reaction index: Chemkin #54; RMG #54 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); H(4), H2(3); -- equation: H(4) + C2H3(24) <=> H2(3) + C2H2(22) # Reaction 55 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #55; RMG #55 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); H(4), H2(3); -- equation: H(4) + C2H4(26) <=> H2(3) + C2H3(24) # Reaction 56 - rate-constant: {A: 1.325e+06, b: 2.53, Ea: 12.24} - note: | - Reaction index: Chemkin #56; RMG #56 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); H(4), H2(3); -- equation: H(4) + C2H5(27) <=> H2(3) + C2H4(26) # Reaction 57 - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #57; RMG #57 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), C2H4(26); H(4), H2(3); -- equation: H(4) + ethane(1) <=> H2(3) + C2H5(27) # Reaction 58 - rate-constant: {A: 1.15e+08, b: 1.9, Ea: 7.53} - note: | - Reaction index: Chemkin #58; RMG #58 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); H(4), H2(3); -- equation: H(4) + HCCO(23) <=> CO(10) + CH2(S)(13) # Reaction 59 - rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #59; RMG #59 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); H(4), CH2(S)(13); -- equation: H(4) + CH2CO(25) <=> H2(3) + HCCO(23) # Reaction 60 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 8.0} - note: | - Reaction index: Chemkin #60; RMG #60 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); H(4), H2(3); -- equation: H(4) + CH2CO(25) <=> CO(10) + CH3(14) # Reaction 61 - rate-constant: {A: 1.13e+13, b: 0.0, Ea: 3.428} - note: | - Reaction index: Chemkin #61; RMG #61 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), CO(10); H(4), CH3(14); -- equation: H(4) + HCCOH(30) <=> H(4) + CH2CO(25) # Reaction 62 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #62; RMG #62 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCOH(30), CH2CO(25); H(4), H(4); -- equation: OH(5) + H2(3) <=> H(4) + H2O(28) # Reaction 63 - rate-constant: {A: 2.16e+08, b: 1.51, Ea: 3.43} - note: | - Reaction index: Chemkin #63; RMG #63 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O(28); H2(3), H(4); -- equation: OH(5) + OH(5) <=> O(2) + H2O(28) # Reaction 64 - rate-constant: {A: 3.57e+04, b: 2.4, Ea: -2.11} - note: | - Reaction index: Chemkin #64; RMG #64 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O(28); OH(5), O(2); -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 65 - duplicate: true - rate-constant: {A: 1.45e+13, b: 0.0, Ea: -0.5} - note: | - Reaction index: Chemkin #65; RMG #65 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + HO2(6) <=> O2(7) + H2O(28) # Reaction 66 - duplicate: true - rate-constant: {A: 5.0e+15, b: 0.0, Ea: 17.33} - note: | - Reaction index: Chemkin #66; RMG #65 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 67 - duplicate: true - rate-constant: {A: 2.0e+12, b: 0.0, Ea: 0.427} - note: | - Reaction index: Chemkin #67; RMG #66 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + H2O2(8) <=> HO2(6) + H2O(28) # Reaction 68 - duplicate: true - rate-constant: {A: 1.7e+18, b: 0.0, Ea: 29.41} - note: | - Reaction index: Chemkin #68; RMG #66 - Library reaction: GRI-Mech3.0 -- equation: OH(5) + C(29) <=> H(4) + CO(10) # Reaction 69 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #69; RMG #67 - Library reaction: GRI-Mech3.0 - Flux pairs: C(29), CO(10); OH(5), H(4); -- equation: OH(5) + CH(9) <=> H(4) + HCO(12) # Reaction 70 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #70; RMG #68 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), HCO(12); OH(5), H(4); -- equation: OH(5) + CH2(11) <=> H(4) + CH2O(15) # Reaction 71 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #71; RMG #69 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); OH(5), H(4); -- equation: OH(5) + CH2(11) <=> H2O(28) + CH(9) # Reaction 72 - rate-constant: {A: 1.13e+07, b: 2.0, Ea: 3.0} - note: | - Reaction index: Chemkin #72; RMG #70 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH(9); OH(5), H2O(28); -- equation: OH(5) + CH2(S)(13) <=> H(4) + CH2O(15) # Reaction 73 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #73; RMG #71 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2O(15); OH(5), H(4); -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(11) # Reaction 74 - rate-constant: {A: 5.6e+07, b: 1.6, Ea: 5.42} - note: | - Reaction index: Chemkin #74; RMG #72 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2(11); OH(5), H2O(28); -- equation: OH(5) + CH3(14) <=> H2O(28) + CH2(S)(13) # Reaction 75 - rate-constant: {A: 6.44e+17, b: -1.34, Ea: 1.417} - note: | - Reaction index: Chemkin #75; RMG #73 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2(S)(13); OH(5), H2O(28); -- equation: OH(5) + CH4(16) <=> H2O(28) + CH3(14) # Reaction 76 - rate-constant: {A: 1.0e+08, b: 1.6, Ea: 3.12} - note: | - Reaction index: Chemkin #76; RMG #74 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); OH(5), H2O(28); -- equation: OH(5) + CO(10) <=> H(4) + CO2(17) # Reaction 77 - rate-constant: {A: 4.76e+07, b: 1.228, Ea: 0.07} - note: | - Reaction index: Chemkin #77; RMG #75 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); OH(5), H(4); -- equation: OH(5) + HCO(12) <=> H2O(28) + CO(10) # Reaction 78 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #78; RMG #76 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); OH(5), H2O(28); -- equation: OH(5) + CH2O(15) <=> H2O(28) + HCO(12) # Reaction 79 - rate-constant: {A: 3.43e+09, b: 1.18, Ea: -0.447} - note: | - Reaction index: Chemkin #79; RMG #77 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); OH(5), H2O(28); -- equation: OH(5) + CH2OH(18) <=> H2O(28) + CH2O(15) # Reaction 80 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #80; RMG #78 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); OH(5), H2O(28); -- equation: OH(5) + CH3O(19) <=> H2O(28) + CH2O(15) # Reaction 81 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #81; RMG #79 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); OH(5), H2O(28); -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH2OH(18) # Reaction 82 - rate-constant: {A: 1.44e+06, b: 2.0, Ea: -0.84} - note: | - Reaction index: Chemkin #82; RMG #80 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); OH(5), H2O(28); -- equation: OH(5) + CH3OH(20) <=> H2O(28) + CH3O(19) # Reaction 83 - rate-constant: {A: 6.3e+06, b: 2.0, Ea: 1.5} - note: | - Reaction index: Chemkin #83; RMG #81 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); OH(5), H2O(28); -- equation: OH(5) + C2H(21) <=> H(4) + HCCO(23) # Reaction 84 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #84; RMG #82 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), HCCO(23); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H(4) + CH2CO(25) # Reaction 85 - rate-constant: {A: 2.18e-04, b: 4.5, Ea: -1.0} - note: | - Reaction index: Chemkin #85; RMG #83 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CH2CO(25); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H(4) + HCCOH(30) # Reaction 86 - rate-constant: {A: 5.04e+05, b: 2.3, Ea: 13.5} - note: | - Reaction index: Chemkin #86; RMG #84 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), HCCOH(30); OH(5), H(4); -- equation: OH(5) + C2H2(22) <=> H2O(28) + C2H(21) # Reaction 87 - rate-constant: {A: 3.37e+07, b: 2.0, Ea: 14.0} - note: | - Reaction index: Chemkin #87; RMG #85 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), C2H(21); OH(5), H2O(28); -- equation: OH(5) + C2H2(22) <=> CO(10) + CH3(14) # Reaction 88 - rate-constant: {A: 4.83e-04, b: 4.0, Ea: -2.0} - note: | - Reaction index: Chemkin #88; RMG #86 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H2(22), CO(10); OH(5), CH3(14); -- equation: OH(5) + C2H3(24) <=> H2O(28) + C2H2(22) # Reaction 89 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #89; RMG #87 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); OH(5), H2O(28); -- equation: OH(5) + C2H4(26) <=> H2O(28) + C2H3(24) # Reaction 90 - rate-constant: {A: 3.6e+06, b: 2.0, Ea: 2.5} - note: | - Reaction index: Chemkin #90; RMG #88 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); OH(5), H2O(28); -- equation: OH(5) + ethane(1) <=> H2O(28) + C2H5(27) # Reaction 91 - rate-constant: {A: 3.54e+06, b: 2.12, Ea: 0.87} - note: | - Reaction index: Chemkin #91; RMG #89 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); OH(5), H2O(28); -- equation: OH(5) + CH2CO(25) <=> H2O(28) + HCCO(23) # Reaction 92 - rate-constant: {A: 7.5e+12, b: 0.0, Ea: 2.0} - note: | - Reaction index: Chemkin #92; RMG #90 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CO(25), HCCO(23); OH(5), H2O(28); -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 93 - duplicate: true - rate-constant: {A: 1.3e+11, b: 0.0, Ea: -1.63} - note: | - Reaction index: Chemkin #93; RMG #91 - Library reaction: GRI-Mech3.0 -- equation: HO2(6) + HO2(6) <=> O2(7) + H2O2(8) # Reaction 94 - duplicate: true - rate-constant: {A: 4.2e+14, b: 0.0, Ea: 12.0} - note: | - Reaction index: Chemkin #94; RMG #91 - Library reaction: GRI-Mech3.0 -- equation: HO2(6) + CH2(11) <=> OH(5) + CH2O(15) # Reaction 95 - rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #95; RMG #92 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); HO2(6), OH(5); -- equation: HO2(6) + CH3(14) <=> O2(7) + CH4(16) # Reaction 96 - rate-constant: {A: 1.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #96; RMG #93 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH4(16); HO2(6), O2(7); -- equation: HO2(6) + CH3(14) <=> OH(5) + CH3O(19) # Reaction 97 - rate-constant: {A: 3.78e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #97; RMG #94 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH3O(19); HO2(6), OH(5); -- equation: HO2(6) + CO(10) <=> OH(5) + CO2(17) # Reaction 98 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 23.6} - note: | - Reaction index: Chemkin #98; RMG #95 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO2(17); HO2(6), OH(5); -- equation: HO2(6) + CH2O(15) <=> H2O2(8) + HCO(12) # Reaction 99 - rate-constant: {A: 5.6e+06, b: 2.0, Ea: 12.0} - note: | - Reaction index: Chemkin #99; RMG #96 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); HO2(6), H2O2(8); -- equation: O2(7) + C(29) <=> O(2) + CO(10) # Reaction 100 - rate-constant: {A: 5.8e+13, b: 0.0, Ea: 0.576} - note: | - Reaction index: Chemkin #100; RMG #97 - Library reaction: GRI-Mech3.0 - Flux pairs: C(29), CO(10); O2(7), O(2); -- equation: C(29) + CH2(11) <=> H(4) + C2H(21) # Reaction 101 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #101; RMG #98 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H(21); C(29), H(4); -- equation: C(29) + CH3(14) <=> H(4) + C2H2(22) # Reaction 102 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #102; RMG #99 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H2(22); C(29), H(4); -- equation: O2(7) + CH(9) <=> O(2) + HCO(12) # Reaction 103 - rate-constant: {A: 6.71e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #103; RMG #100 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), HCO(12); O2(7), O(2); -- equation: H2(3) + CH(9) <=> H(4) + CH2(11) # Reaction 104 - rate-constant: {A: 1.08e+14, b: 0.0, Ea: 3.11} - note: | - Reaction index: Chemkin #104; RMG #101 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CH2(11); H2(3), H(4); -- equation: H2O(28) + CH(9) <=> H(4) + CH2O(15) # Reaction 105 - rate-constant: {A: 5.71e+12, b: 0.0, Ea: -0.755} - note: | - Reaction index: Chemkin #105; RMG #102 - Library reaction: GRI-Mech3.0 - Flux pairs: CH(9), CH2O(15); H2O(28), H(4); -- equation: CH(9) + CH2(11) <=> H(4) + C2H2(22) # Reaction 106 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #106; RMG #103 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH(9), H(4); -- equation: CH(9) + CH3(14) <=> H(4) + C2H3(24) # Reaction 107 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #107; RMG #104 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H3(24); CH(9), H(4); -- equation: CH(9) + CH4(16) <=> H(4) + C2H4(26) # Reaction 108 - rate-constant: {A: 6.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #108; RMG #105 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), C2H4(26); CH(9), H(4); -- equation: CO2(17) + CH(9) <=> CO(10) + HCO(12) # Reaction 109 - rate-constant: {A: 1.9e+14, b: 0.0, Ea: 15.792} - note: | - Reaction index: Chemkin #109; RMG #106 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), HCO(12); CH(9), CO(10); -- equation: CH(9) + CH2O(15) <=> H(4) + CH2CO(25) # Reaction 110 - rate-constant: {A: 9.46e+13, b: 0.0, Ea: -0.515} - note: | - Reaction index: Chemkin #110; RMG #107 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), CH2CO(25); CH(9), H(4); -- equation: CH(9) + HCCO(23) <=> CO(10) + C2H2(22) # Reaction 111 - rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #111; RMG #108 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H2(22); CH(9), CO(10); -- equation: O2(7) + CH2(11) => H(4) + OH(5) + CO(10) # Reaction 112 - rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.5} - note: | - Reaction index: Chemkin #112; RMG #109 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CO(10); O2(7), H(4); O2(7), OH(5); -- equation: H2(3) + CH2(11) <=> H(4) + CH3(14) # Reaction 113 - rate-constant: {A: 5.0e+05, b: 2.0, Ea: 7.23} - note: | - Reaction index: Chemkin #113; RMG #110 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH3(14); H2(3), H(4); -- equation: CH2(11) + CH2(11) <=> H2(3) + C2H2(22) # Reaction 114 - rate-constant: {A: 1.6e+15, b: 0.0, Ea: 11.944} - note: | - Reaction index: Chemkin #114; RMG #111 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH2(11), H2(3); -- equation: CH2(11) + CH3(14) <=> H(4) + C2H4(26) # Reaction 115 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #115; RMG #112 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H4(26); CH2(11), H(4); -- equation: CH2(11) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 116 - rate-constant: {A: 2.46e+06, b: 2.0, Ea: 8.27} - note: | - Reaction index: Chemkin #116; RMG #113 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); CH2(11), CH3(14); -- equation: CH2(11) + HCCO(23) <=> CO(10) + C2H3(24) # Reaction 117 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #117; RMG #114 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H3(24); CH2(11), CO(10); -- equation: O2(7) + CH2(S)(13) <=> H(4) + OH(5) + CO(10) # Reaction 118 - rate-constant: {A: 2.8e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #118; RMG #115 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O2(7), H(4); O2(7), OH(5); -- equation: O2(7) + CH2(S)(13) <=> H2O(28) + CO(10) # Reaction 119 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #119; RMG #116 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CO(10); O2(7), H2O(28); -- equation: H2(3) + CH2(S)(13) <=> H(4) + CH3(14) # Reaction 120 - rate-constant: {A: 7.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #120; RMG #117 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH3(14); H2(3), H(4); -- equation: H2O(28) + CH2(S)(13) <=> H2O(28) + CH2(11) # Reaction 121 - rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #121; RMG #118 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2(11); H2O(28), H2O(28); -- equation: CH2(S)(13) + CH3(14) <=> H(4) + C2H4(26) # Reaction 122 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: -0.57} - note: | - Reaction index: Chemkin #122; RMG #119 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H4(26); CH2(S)(13), H(4); -- equation: CH2(S)(13) + CH4(16) <=> CH3(14) + CH3(14) # Reaction 123 - rate-constant: {A: 1.6e+13, b: 0.0, Ea: -0.57} - note: | - Reaction index: Chemkin #123; RMG #120 - Library reaction: GRI-Mech3.0 - Flux pairs: CH4(16), CH3(14); CH2(S)(13), CH3(14); -- equation: CO(10) + CH2(S)(13) <=> CO(10) + CH2(11) # Reaction 124 - rate-constant: {A: 9.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #124; RMG #121 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CO(10); CH2(S)(13), CH2(11); -- equation: CO2(17) + CH2(S)(13) <=> CO2(17) + CH2(11) # Reaction 125 - rate-constant: {A: 7.0e+12, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #125; RMG #122 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CO2(17); CH2(S)(13), CH2(11); -- equation: CO2(17) + CH2(S)(13) <=> CO(10) + CH2O(15) # Reaction 126 - rate-constant: {A: 1.4e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #126; RMG #123 - Library reaction: GRI-Mech3.0 - Flux pairs: CO2(17), CH2O(15); CH2(S)(13), CO(10); -- equation: CH2(S)(13) + ethane(1) <=> CH3(14) + C2H5(27) # Reaction 127 - rate-constant: {A: 4.0e+13, b: 0.0, Ea: -0.55} - note: | - Reaction index: Chemkin #127; RMG #124 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); CH2(S)(13), CH3(14); -- equation: O2(7) + CH3(14) <=> O(2) + CH3O(19) # Reaction 128 - rate-constant: {A: 3.56e+13, b: 0.0, Ea: 30.48} - note: | - Reaction index: Chemkin #128; RMG #125 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH3O(19); O2(7), O(2); -- equation: O2(7) + CH3(14) <=> OH(5) + CH2O(15) # Reaction 129 - rate-constant: {A: 2.31e+12, b: 0.0, Ea: 20.315} - note: | - Reaction index: Chemkin #129; RMG #126 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); O2(7), OH(5); -- equation: H2O2(8) + CH3(14) <=> HO2(6) + CH4(16) # Reaction 130 - rate-constant: {A: 2.45e+04, b: 2.47, Ea: 5.18} - note: | - Reaction index: Chemkin #130; RMG #127 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH4(16); H2O2(8), HO2(6); -- equation: CH3(14) + CH3(14) <=> H(4) + C2H5(27) # Reaction 131 - rate-constant: {A: 6.84e+12, b: 0.1, Ea: 10.6} - note: | - Reaction index: Chemkin #131; RMG #128 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C2H5(27); CH3(14), H(4); -- equation: HCO(12) + CH3(14) <=> CO(10) + CH4(16) # Reaction 132 - rate-constant: {A: 2.648e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #132; RMG #129 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); CH3(14), CH4(16); -- equation: CH2O(15) + CH3(14) <=> HCO(12) + CH4(16) # Reaction 133 - rate-constant: {A: 3320.0, b: 2.81, Ea: 5.86} - note: | - Reaction index: Chemkin #133; RMG #130 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2O(15), HCO(12); CH3(14), CH4(16); -- equation: CH3(14) + CH3OH(20) <=> CH2OH(18) + CH4(16) # Reaction 134 - rate-constant: {A: 3.0e+07, b: 1.5, Ea: 9.94} - note: | - Reaction index: Chemkin #134; RMG #131 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH2OH(18); CH3(14), CH4(16); -- equation: CH3(14) + CH3OH(20) <=> CH3O(19) + CH4(16) # Reaction 135 - rate-constant: {A: 1.0e+07, b: 1.5, Ea: 9.94} - note: | - Reaction index: Chemkin #135; RMG #132 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3OH(20), CH3O(19); CH3(14), CH4(16); -- equation: CH3(14) + C2H4(26) <=> CH4(16) + C2H3(24) # Reaction 136 - rate-constant: {A: 2.27e+05, b: 2.0, Ea: 9.2} - note: | - Reaction index: Chemkin #136; RMG #133 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), C2H3(24); CH3(14), CH4(16); -- equation: CH3(14) + ethane(1) <=> CH4(16) + C2H5(27) # Reaction 137 - rate-constant: {A: 6.14e+06, b: 1.74, Ea: 10.45} - note: | - Reaction index: Chemkin #137; RMG #134 - Library reaction: GRI-Mech3.0 - Flux pairs: ethane(1), C2H5(27); CH3(14), CH4(16); -- equation: H2O(28) + HCO(12) <=> H(4) + H2O(28) + CO(10) # Reaction 138 - rate-constant: {A: 1.5e+18, b: -1.0, Ea: 17.0} - note: | - Reaction index: Chemkin #138; RMG #135 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); H2O(28), H(4); H2O(28), H2O(28); -- equation: O2(7) + HCO(12) <=> HO2(6) + CO(10) # Reaction 139 - rate-constant: {A: 1.345e+13, b: 0.0, Ea: 0.4} - note: | - Reaction index: Chemkin #139; RMG #136 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), CO(10); O2(7), HO2(6); -- equation: O2(7) + CH2OH(18) <=> HO2(6) + CH2O(15) # Reaction 140 - rate-constant: {A: 1.8e+13, b: 0.0, Ea: 0.9} - note: | - Reaction index: Chemkin #140; RMG #137 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2OH(18), CH2O(15); O2(7), HO2(6); -- equation: O2(7) + CH3O(19) <=> HO2(6) + CH2O(15) # Reaction 141 - rate-constant: {A: 4.28e-13, b: 7.6, Ea: -3.53} - note: | - Reaction index: Chemkin #141; RMG #138 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3O(19), CH2O(15); O2(7), HO2(6); -- equation: O2(7) + C2H(21) <=> CO(10) + HCO(12) # Reaction 142 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: -0.755} - note: | - Reaction index: Chemkin #142; RMG #139 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), HCO(12); O2(7), CO(10); -- equation: H2(3) + C2H(21) <=> H(4) + C2H2(22) # Reaction 143 - rate-constant: {A: 5.68e+10, b: 0.9, Ea: 1.993} - note: | - Reaction index: Chemkin #143; RMG #140 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H(21), C2H2(22); H2(3), H(4); -- equation: O2(7) + C2H3(24) <=> HCO(12) + CH2O(15) # Reaction 144 - rate-constant: {A: 4.58e+16, b: -1.39, Ea: 1.015} - note: | - Reaction index: Chemkin #144; RMG #141 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2O(15); O2(7), HCO(12); -- equation: O2(7) + C2H5(27) <=> HO2(6) + C2H4(26) # Reaction 145 - rate-constant: {A: 8.4e+11, b: 0.0, Ea: 3.875} - note: | - Reaction index: Chemkin #145; RMG #142 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), C2H4(26); O2(7), HO2(6); -- equation: O2(7) + HCCO(23) <=> OH(5) + CO(10) + CO(10) # Reaction 146 - rate-constant: {A: 3.2e+12, b: 0.0, Ea: 0.854} - note: | - Reaction index: Chemkin #146; RMG #143 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), CO(10); O2(7), OH(5); O2(7), CO(10); -- equation: HCCO(23) + HCCO(23) <=> CO(10) + CO(10) + C2H2(22) # Reaction 147 - rate-constant: {A: 1.0e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #147; RMG #144 - Library reaction: GRI-Mech3.0 - Flux pairs: HCCO(23), C2H2(22); HCCO(23), CO(10); HCCO(23), CO(10); -- equation: O(2) + CH3(14) => H(4) + H2(3) + CO(10) # Reaction 148 - rate-constant: {A: 3.37e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #148; RMG #145 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CO(10); O(2), H(4); O(2), H2(3); -- equation: O(2) + C2H4(26) <=> H(4) + CH2CHO(31) # Reaction 149 - rate-constant: {A: 6.7e+06, b: 1.83, Ea: 0.22} - note: | - Reaction index: Chemkin #149; RMG #146 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), CH2CHO(31); O(2), H(4); -- equation: O(2) + C2H5(27) <=> H(4) + CH3CHO(32) # Reaction 150 - rate-constant: {A: 1.096e+14, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #150; RMG #147 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H5(27), CH3CHO(32); O(2), H(4); -- equation: OH(5) + CH3(14) => H2(3) + CH2O(15) # Reaction 151 - rate-constant: {A: 8.0e+09, b: 0.5, Ea: -1.755} - note: | - Reaction index: Chemkin #151; RMG #148 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), CH2O(15); OH(5), H2(3); -- equation: O2(7) + CH2(11) => H(4) + H(4) + CO2(17) # Reaction 152 - rate-constant: {A: 5.8e+12, b: 0.0, Ea: 1.5} - note: | - Reaction index: Chemkin #152; RMG #149 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CO2(17); O2(7), H(4); O2(7), H(4); -- equation: O2(7) + CH2(11) <=> O(2) + CH2O(15) # Reaction 153 - rate-constant: {A: 2.4e+12, b: 0.0, Ea: 1.5} - note: | - Reaction index: Chemkin #153; RMG #150 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), CH2O(15); O2(7), O(2); -- equation: CH2(11) + CH2(11) => H(4) + H(4) + C2H2(22) # Reaction 154 - rate-constant: {A: 2.0e+14, b: 0.0, Ea: 10.989} - note: | - Reaction index: Chemkin #154; RMG #151 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(11), C2H2(22); CH2(11), H(4); CH2(11), H(4); -- equation: H2O(28) + CH2(S)(13) => H2(3) + CH2O(15) # Reaction 155 - rate-constant: {A: 6.82e+10, b: 0.25, Ea: -0.935} - note: | - Reaction index: Chemkin #155; RMG #152 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2(S)(13), CH2O(15); H2O(28), H2(3); -- equation: O2(7) + C2H3(24) <=> O(2) + CH2CHO(31) # Reaction 156 - rate-constant: {A: 3.03e+11, b: 0.29, Ea: 0.011} - note: | - Reaction index: Chemkin #156; RMG #153 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), CH2CHO(31); O2(7), O(2); -- equation: O2(7) + C2H3(24) <=> HO2(6) + C2H2(22) # Reaction 157 - rate-constant: {A: 1.337e+06, b: 1.61, Ea: -0.384} - note: | - Reaction index: Chemkin #157; RMG #154 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H3(24), C2H2(22); O2(7), HO2(6); -- equation: O(2) + CH3CHO(32) <=> OH(5) + CH2CHO(31) # Reaction 158 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} - note: | - Reaction index: Chemkin #158; RMG #155 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CH2CHO(31); O(2), OH(5); -- equation: O(2) + CH3CHO(32) => OH(5) + CO(10) + CH3(14) # Reaction 159 - rate-constant: {A: 2.92e+12, b: 0.0, Ea: 1.808} - note: | - Reaction index: Chemkin #159; RMG #156 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); O(2), OH(5); O(2), CH3(14); -- equation: O2(7) + CH3CHO(32) => HO2(6) + CO(10) + CH3(14) # Reaction 160 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 39.15} - note: | - Reaction index: Chemkin #160; RMG #157 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); O2(7), HO2(6); O2(7), CH3(14); -- equation: H(4) + CH3CHO(32) <=> H2(3) + CH2CHO(31) # Reaction 161 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} - note: | - Reaction index: Chemkin #161; RMG #158 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CH2CHO(31); H(4), H2(3); -- equation: H(4) + CH3CHO(32) => H2(3) + CO(10) + CH3(14) # Reaction 162 - rate-constant: {A: 2.05e+09, b: 1.16, Ea: 2.405} - note: | - Reaction index: Chemkin #162; RMG #159 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); H(4), H2(3); H(4), CH3(14); -- equation: OH(5) + CH3CHO(32) => H2O(28) + CO(10) + CH3(14) # Reaction 163 - rate-constant: {A: 2.343e+10, b: 0.73, Ea: -1.113} - note: | - Reaction index: Chemkin #163; RMG #160 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); OH(5), H2O(28); OH(5), CH3(14); -- equation: HO2(6) + CH3CHO(32) => H2O2(8) + CO(10) + CH3(14) # Reaction 164 - rate-constant: {A: 3.01e+12, b: 0.0, Ea: 11.923} - note: | - Reaction index: Chemkin #164; RMG #161 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); HO2(6), H2O2(8); HO2(6), CH3(14); -- equation: CH3(14) + CH3CHO(32) => CO(10) + CH3(14) + CH4(16) # Reaction 165 - rate-constant: {A: 2.72e+06, b: 1.77, Ea: 5.92} - note: | - Reaction index: Chemkin #165; RMG #162 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3CHO(32), CO(10); CH3(14), CH3(14); CH3(14), CH4(16); -- equation: O(2) + CH2CHO(31) => H(4) + CO2(17) + CH2(11) # Reaction 166 - rate-constant: {A: 1.5e+14, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #166; RMG #163 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CO2(17); O(2), H(4); O(2), CH2(11); -- equation: O2(7) + CH2CHO(31) => OH(5) + CO(10) + CH2O(15) # Reaction 167 - rate-constant: {A: 1.81e+10, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #167; RMG #164 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2O(15); O2(7), OH(5); O2(7), CO(10); -- equation: O2(7) + CH2CHO(31) => OH(5) + HCO(12) + HCO(12) # Reaction 168 - rate-constant: {A: 2.35e+10, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #168; RMG #165 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), HCO(12); O2(7), OH(5); O2(7), HCO(12); -- equation: H(4) + CH2CHO(31) <=> HCO(12) + CH3(14) # Reaction 169 - rate-constant: {A: 2.2e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #169; RMG #166 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), HCO(12); H(4), CH3(14); -- equation: H(4) + CH2CHO(31) <=> H2(3) + CH2CO(25) # Reaction 170 - rate-constant: {A: 1.1e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #170; RMG #167 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2CO(25); H(4), H2(3); -- equation: OH(5) + CH2CHO(31) <=> H2O(28) + CH2CO(25) # Reaction 171 - rate-constant: {A: 1.2e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #171; RMG #168 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2CO(25); OH(5), H2O(28); -- equation: OH(5) + CH2CHO(31) <=> HCO(12) + CH2OH(18) # Reaction 172 - rate-constant: {A: 3.01e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #172; RMG #169 - Library reaction: GRI-Mech3.0 - Flux pairs: CH2CHO(31), CH2OH(18); OH(5), HCO(12); -- equation: O(2) + O(2) + M <=> O2(7) + M # Reaction 173 - type: three-body - rate-constant: {A: 1.2e+17, b: -1.0, Ea: 0.0} - efficiencies: {CO2(17): 3.6, CH4(16): 2.0, ethane(1): 3.0, H2O(28): - 15.4, H2(3): 2.4, Ar: 0.83} - note: | - Reaction index: Chemkin #173; RMG #170 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), O2(7); O(2), O2(7); -- equation: O(2) + H(4) + M <=> OH(5) + M # Reaction 174 - type: three-body - rate-constant: {A: 5.0e+17, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #174; RMG #171 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), OH(5); H(4), OH(5); -- equation: O2(7) + H(4) + M <=> HO2(6) + M # Reaction 175 - type: three-body - rate-constant: {A: 2.8e+18, b: -0.86, Ea: 0.0} - efficiencies: {CO2(17): 1.5, ethane(1): 1.5, H2O(28): 0.0, O2(7): - 0.0, N2: 0.0, Ar: 0.0} - note: | - Reaction index: Chemkin #175; RMG #172 - Library reaction: GRI-Mech3.0 - Flux pairs: O2(7), HO2(6); H(4), HO2(6); -- equation: H(4) + H(4) + M <=> H2(3) + M # Reaction 176 - type: three-body - rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0} - efficiencies: {CH4(16): 2.0, CO2(17): 0.0, ethane(1): 3.0, H2O(28): - 0.0, H2(3): 0.0, Ar: 0.63} - note: | - Reaction index: Chemkin #176; RMG #173 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), H2(3); H(4), H2(3); -- equation: H(4) + OH(5) + M <=> H2O(28) + M # Reaction 177 - type: three-body - rate-constant: {A: 2.2e+22, b: -2.0, Ea: 0.0} - efficiencies: {ethane(1): 3.0, CH4(16): 2.0, H2(3): 0.73, H2O(28): - 3.65, Ar: 0.38} - note: | - Reaction index: Chemkin #177; RMG #174 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), H2O(28); OH(5), H2O(28); -- equation: HCO(12) + M <=> H(4) + CO(10) + M # Reaction 178 - type: three-body - rate-constant: {A: 1.87e+17, b: -1.0, Ea: 17.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 0.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #178; RMG #175 - Library reaction: GRI-Mech3.0 - Flux pairs: HCO(12), H(4); HCO(12), CO(10); -- equation: O(2) + CO(10) (+M) <=> CO2(17) (+M) # Reaction 179 - type: falloff - low-P-rate-constant: {A: 6.02e+14, b: 0.0, Ea: 3.0} - high-P-rate-constant: {A: 1.8e+10, b: 0.0, Ea: 2.385} - efficiencies: {CH4(16): 2.0, CO2(17): 3.5, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, O2(7): 6.0, Ar: 0.5} - note: | - Reaction index: Chemkin #179; RMG #176 - Library reaction: GRI-Mech3.0 - Flux pairs: O(2), CO2(17); CO(10), CO2(17); -- equation: H(4) + CH2(11) (+M) <=> CH3(14) (+M) # Reaction 180 - type: falloff - low-P-rate-constant: {A: 1.04e+26, b: -2.76, Ea: 1.6} - high-P-rate-constant: {A: 6.0e+14, b: 0.0, Ea: 0.0} - Troe: {A: 0.562, T3: 91.0, T1: 5840.0, T2: 8550.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #180; RMG #177 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3(14); CH2(11), CH3(14); -- equation: H(4) + CH3(14) (+M) <=> CH4(16) (+M) # Reaction 181 - type: falloff - low-P-rate-constant: {A: 2.62e+33, b: -4.76, Ea: 2.44} - high-P-rate-constant: {A: 1.39e+16, b: -0.534, Ea: 0.536} - Troe: {A: 0.783, T3: 74.0, T1: 2940.0, T2: 6960.0} - efficiencies: {CH4(16): 3.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #181; RMG #178 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH4(16); CH3(14), CH4(16); -- equation: H(4) + HCO(12) (+M) <=> CH2O(15) (+M) # Reaction 182 - type: falloff - low-P-rate-constant: {A: 2.47e+24, b: -2.57, Ea: 0.425} - high-P-rate-constant: {A: 1.09e+12, b: 0.48, Ea: -0.26} - Troe: {A: 0.7824, T3: 271.0, T1: 2760.0, T2: 6570.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #182; RMG #179 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2O(15); HCO(12), CH2O(15); -- equation: H(4) + CH2O(15) (+M) <=> CH2OH(18) (+M) # Reaction 183 - type: falloff - low-P-rate-constant: {A: 1.27e+32, b: -4.82, Ea: 6.53} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 3.6} - Troe: {A: 0.7187, T3: 103.0, T1: 1290.0, T2: 4160.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #183; RMG #180 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2OH(18); CH2O(15), CH2OH(18); -- equation: H(4) + CH2O(15) (+M) <=> CH3O(19) (+M) # Reaction 184 - type: falloff - low-P-rate-constant: {A: 2.2e+30, b: -4.8, Ea: 5.56} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 2.6} - Troe: {A: 0.758, T3: 94.0, T1: 1560.0, T2: 4200.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #184; RMG #181 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3O(19); CH2O(15), CH3O(19); -- equation: H(4) + CH2OH(18) (+M) <=> CH3OH(20) (+M) # Reaction 185 - type: falloff - low-P-rate-constant: {A: 4.36e+31, b: -4.65, Ea: 5.08} - high-P-rate-constant: {A: 1.055e+12, b: 0.5, Ea: 0.086} - Troe: {A: 0.6, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #185; RMG #182 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3OH(20); CH2OH(18), CH3OH(20); -- equation: H(4) + CH3O(19) (+M) <=> CH3OH(20) (+M) # Reaction 186 - type: falloff - low-P-rate-constant: {A: 4.66e+41, b: -7.44, Ea: 14.08} - high-P-rate-constant: {A: 2.43e+12, b: 0.515, Ea: 0.05} - Troe: {A: 0.7, T3: 100.0, T1: 9.0e+04, T2: 1.0e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #186; RMG #183 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH3OH(20); CH3O(19), CH3OH(20); -- equation: H(4) + C2H(21) (+M) <=> C2H2(22) (+M) # Reaction 187 - type: falloff - low-P-rate-constant: {A: 3.75e+33, b: -4.8, Ea: 1.9} - high-P-rate-constant: {A: 1.0e+17, b: -1.0, Ea: 0.0} - Troe: {A: 0.6464, T3: 132.0, T1: 1320.0, T2: 5570.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #187; RMG #184 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H2(22); C2H(21), C2H2(22); -- equation: H(4) + C2H2(22) (+M) <=> C2H3(24) (+M) # Reaction 188 - type: falloff - low-P-rate-constant: {A: 3.8e+40, b: -7.27, Ea: 7.22} - high-P-rate-constant: {A: 5.6e+12, b: 0.0, Ea: 2.4} - Troe: {A: 0.7507, T3: 98.5, T1: 1300.0, T2: 4170.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #188; RMG #185 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H3(24); C2H2(22), C2H3(24); -- equation: H(4) + C2H3(24) (+M) <=> C2H4(26) (+M) # Reaction 189 - type: falloff - low-P-rate-constant: {A: 1.4e+30, b: -3.86, Ea: 3.32} - high-P-rate-constant: {A: 6.08e+12, b: 0.27, Ea: 0.28} - Troe: {A: 0.782, T3: 208.0, T1: 2660.0, T2: 6100.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #189; RMG #186 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H4(26); C2H3(24), C2H4(26); -- equation: H(4) + C2H4(26) (+M) <=> C2H5(27) (+M) # Reaction 190 - type: falloff - low-P-rate-constant: {A: 6.0e+41, b: -7.62, Ea: 6.97} - high-P-rate-constant: {A: 5.4e+11, b: 0.454, Ea: 1.82} - Troe: {A: 0.9753, T3: 210.0, T1: 984.0, T2: 4370.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #190; RMG #187 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), C2H5(27); C2H4(26), C2H5(27); -- equation: H(4) + C2H5(27) (+M) <=> ethane(1) (+M) # Reaction 191 - type: falloff - low-P-rate-constant: {A: 1.99e+41, b: -7.08, Ea: 6.685} - high-P-rate-constant: {A: 5.21e+17, b: -0.99, Ea: 1.58} - Troe: {A: 0.8422, T3: 125.0, T1: 2220.0, T2: 6880.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #191; RMG #188 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), ethane(1); C2H5(27), ethane(1); -- equation: H2(3) + CO(10) (+M) <=> CH2O(15) (+M) # Reaction 192 - type: falloff - low-P-rate-constant: {A: 5.07e+27, b: -3.42, Ea: 84.35} - high-P-rate-constant: {A: 4.3e+07, b: 1.5, Ea: 79.6} - Troe: {A: 0.932, T3: 197.0, T1: 1540.0, T2: 1.03e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #192; RMG #189 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), CH2O(15); CO(10), CH2O(15); -- equation: OH(5) + OH(5) (+M) <=> H2O2(8) (+M) # Reaction 193 - type: falloff - low-P-rate-constant: {A: 2.3e+18, b: -0.9, Ea: -1.7} - high-P-rate-constant: {A: 7.4e+13, b: -0.37, Ea: 0.0} - Troe: {A: 0.7346, T3: 94.0, T1: 1760.0, T2: 5180.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #193; RMG #190 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), H2O2(8); OH(5), H2O2(8); -- equation: OH(5) + CH3(14) (+M) <=> CH3OH(20) (+M) # Reaction 194 - type: falloff - low-P-rate-constant: {A: 4.0e+36, b: -5.92, Ea: 3.14} - high-P-rate-constant: {A: 2.79e+18, b: -1.43, Ea: 1.33} - Troe: {A: 0.412, T3: 195.0, T1: 5900.0, T2: 6390.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #194; RMG #191 - Library reaction: GRI-Mech3.0 - Flux pairs: OH(5), CH3OH(20); CH3(14), CH3OH(20); -- equation: CO(10) + CH(9) (+M) <=> HCCO(23) (+M) # Reaction 195 - type: falloff - low-P-rate-constant: {A: 2.69e+28, b: -3.74, Ea: 1.936} - high-P-rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0} - Troe: {A: 0.5757, T3: 237.0, T1: 1650.0, T2: 5070.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #195; RMG #192 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), HCCO(23); CH(9), HCCO(23); -- equation: CO(10) + CH2(11) (+M) <=> CH2CO(25) (+M) # Reaction 196 - type: falloff - low-P-rate-constant: {A: 2.69e+33, b: -5.11, Ea: 7.095} - high-P-rate-constant: {A: 8.1e+11, b: 0.5, Ea: 4.51} - Troe: {A: 0.5907, T3: 275.0, T1: 1230.0, T2: 5180.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #196; RMG #193 - Library reaction: GRI-Mech3.0 - Flux pairs: CO(10), CH2CO(25); CH2(11), CH2CO(25); -- equation: H2O(28) + CH2(S)(13) (+M) <=> CH3OH(20) (+M) # Reaction 197 - type: falloff - low-P-rate-constant: {A: 1.88e+38, b: -6.36, Ea: 5.04} - high-P-rate-constant: {A: 4.82e+17, b: -1.16, Ea: 1.145} - Troe: {A: 0.6027, T3: 208.0, T1: 3920.0, T2: 1.02e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0} - note: | - Reaction index: Chemkin #197; RMG #194 - Library reaction: GRI-Mech3.0 - Flux pairs: H2O(28), CH3OH(20); CH2(S)(13), CH3OH(20); -- equation: CH3(14) + CH3(14) (+M) <=> ethane(1) (+M) # Reaction 198 - type: falloff - low-P-rate-constant: {A: 3.4e+41, b: -7.03, Ea: 2.762} - high-P-rate-constant: {A: 6.77e+16, b: -1.18, Ea: 0.654} - Troe: {A: 0.619, T3: 73.2, T1: 1180.0, T2: 1.0e+04} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #198; RMG #195 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), ethane(1); CH3(14), ethane(1); -- equation: C2H4(26) (+M) <=> H2(3) + C2H2(22) (+M) # Reaction 199 - type: falloff - low-P-rate-constant: {A: 1.58e+51, b: -9.3, Ea: 97.8} - high-P-rate-constant: {A: 8.0e+12, b: 0.44, Ea: 86.77} - Troe: {A: 0.7345, T3: 180.0, T1: 1040.0, T2: 5420.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #199; RMG #196 - Library reaction: GRI-Mech3.0 - Flux pairs: C2H4(26), H2(3); C2H4(26), C2H2(22); -- equation: H2(3) + CH(9) (+M) <=> CH3(14) (+M) # Reaction 200 - type: falloff - low-P-rate-constant: {A: 4.82e+25, b: -2.8, Ea: 0.59} - high-P-rate-constant: {A: 1.97e+12, b: 0.43, Ea: -0.37} - Troe: {A: 0.578, T3: 122.0, T1: 2540.0, T2: 9360.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #200; RMG #197 - Library reaction: GRI-Mech3.0 - Flux pairs: H2(3), CH3(14); CH(9), CH3(14); -- equation: H(4) + CH2CO(25) (+M) <=> CH2CHO(31) (+M) # Reaction 201 - type: falloff - low-P-rate-constant: {A: 1.012e+42, b: -7.63, Ea: 3.854} - high-P-rate-constant: {A: 4.865e+11, b: 0.422, Ea: -1.755} - Troe: {A: 0.465, T3: 201.0, T1: 1770.0, T2: 5330.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #201; RMG #198 - Library reaction: GRI-Mech3.0 - Flux pairs: H(4), CH2CHO(31); CH2CO(25), CH2CHO(31); -- equation: CH3(14) + C2H5(27) (+M) <=> C3H8(33) (+M) # Reaction 202 - type: falloff - low-P-rate-constant: {A: 2.71e+74, b: -16.82, Ea: 13.065} - high-P-rate-constant: {A: 9.43e+12, b: 0.0, Ea: 0.0} - Troe: {A: 0.1527, T3: 291.0, T1: 2740.0, T2: 7750.0} - efficiencies: {CH4(16): 2.0, CO2(17): 2.0, ethane(1): 3.0, H2O(28): - 6.0, H2(3): 2.0, Ar: 0.7} - note: | - Reaction index: Chemkin #202; RMG #199 - Library reaction: GRI-Mech3.0 - Flux pairs: CH3(14), C3H8(33); C2H5(27), C3H8(33); -- equation: H(4) + HO2(6) <=> H2O2(8) # Reaction 203 - rate-constant: {A: 5.25069e+09, b: 1.273, Ea: 0.0} - note: | - Reaction index: Chemkin #203; RMG #200 - Template reaction: R_Recombination - Flux pairs: HO2(6), H2O2(8); H(4), H2O2(8); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_3R!H->O in family R_Recombination. -- equation: H(4) + CH(9) <=> CH2(S)(13) # Reaction 204 - rate-constant: {A: 5.37e+13, b: 0.154, Ea: 0.0} - note: | - Reaction index: Chemkin #204; RMG #201 - Template reaction: R_Recombination - Flux pairs: CH(9), CH2(S)(13); H(4), CH2(S)(13); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O in family R_Recombination. -- equation: H(4) + HCCO(23) <=> CH2CO(25) # Reaction 205 - rate-constant: {A: 1.1386e+13, b: 0.309, Ea: 0.0} - note: | - Reaction index: Chemkin #205; RMG #207 - Template reaction: R_Recombination - Flux pairs: HCCO(23), CH2CO(25); H(4), CH2CO(25); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O_Ext-3CS-R in family R_Recombination. -- equation: OH(5) + C2H(21) <=> HCCOH(30) # Reaction 206 - rate-constant: {A: 7.7e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #206; RMG #209 - Template reaction: R_Recombination - Flux pairs: OH(5), HCCOH(30); C2H(21), HCCOH(30); - Estimated from node Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C_Ext-2C-R in family R_Recombination. -- equation: H(4) + HCCO(23) <=> HCCOH(30) # Reaction 207 - rate-constant: {A: 2.80515e+12, b: 0.315, Ea: 0.0} - note: | - Reaction index: Chemkin #207; RMG #210 - Template reaction: R_Recombination - Flux pairs: H(4), HCCOH(30); HCCO(23), HCCOH(30); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_2CNO->O_N-3R!H->O in family R_Recombination. -- equation: HCO(12) + CH3(14) <=> CH3CHO(32) # Reaction 208 - rate-constant: {A: 1.81e+13, b: 0.0, Ea: 0.0} - note: | - Reaction index: Chemkin #208; RMG #214 - Template reaction: R_Recombination - Flux pairs: HCO(12), CH3CHO(32); CH3(14), CH3CHO(32); - Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training - This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O] - family: R_Recombination -- equation: H(4) + CH2CHO(31) <=> CH3CHO(32) # Reaction 209 - rate-constant: {A: 7.82867e+13, b: 0.063, Ea: 0.0} - note: | - Reaction index: Chemkin #209; RMG #215 - Template reaction: R_Recombination - Flux pairs: CH2CHO(31), CH3CHO(32); H(4), CH3CHO(32); - Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN in family R_Recombination. -- equation: CH(9) + CH(9) <=> C2H2(22) # Reaction 210 - rate-constant: {A: 9.9813e+10, b: 0.611, Ea: 0.0} - note: | - Reaction index: Chemkin #210; RMG #258 - Template reaction: R_Recombination - Flux pairs: CH(9), C2H2(22); CH(9), C2H2(22); - Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing in family R_Recombination. From a2bad71aada03f0dcbc56d8964f4337ba99a905b Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 13 May 2026 23:23:02 -0400 Subject: [PATCH 578/700] Create yaml_writer_data subdirs before copying test artifacts The destination directories under test/rmgpy/test_data/yaml_writer_data/ (cantera1, cantera2, ck2yaml) are not guaranteed to exist on a fresh checkout: we recently removed the committed golden YAML files leaving the subdirectories empty. Git does not track empty directories, so CI failed Co-Authored-By: Claude Opus 4.7 (1M context) --- test/rmgpy/rmg/mainTest.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py index d3c5ace343f..00aa547e9f8 100644 --- a/test/rmgpy/rmg/mainTest.py +++ b/test/rmgpy/rmg/mainTest.py @@ -230,6 +230,7 @@ def test_cantera_input_files_match_chemkin_later(self): rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml') assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found" test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera1', 'from_main_test.yaml') + os.makedirs(os.path.dirname(test_data_cantera_target), exist_ok=True) shutil.copy(rmg_yaml_path, test_data_cantera_target) # Copy RMG-generated YAML 2 to test data directory @@ -237,6 +238,7 @@ def test_cantera_input_files_match_chemkin_later(self): rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml') assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found" test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera2', 'from_main_test.yaml') + os.makedirs(os.path.dirname(test_data_cantera_target), exist_ok=True) shutil.copy(rmg_yaml_path, test_data_cantera_target) # Copy chemkin-converted YAML to test data directory @@ -246,6 +248,7 @@ def test_cantera_input_files_match_chemkin_later(self): ck_yaml_path = os.path.join(cantera_from_ck_dir, "chem_annotated.yaml") assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_path} not found" test_data_chemkin_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'ck2yaml', 'from_main_test.yaml') + os.makedirs(os.path.dirname(test_data_chemkin_target), exist_ok=True) shutil.copy(ck_yaml_path, test_data_chemkin_target) From 416512c7484a9ae53667d787f11da90d8c837f01 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 13 May 2026 22:49:13 -0400 Subject: [PATCH 579/700] Trim Cantera YAML and Chemkin elements blocks to elements in use Both Cantera YAML writers and the Chemkin writer were emitting a hardcoded periodic-table grab-bag (H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I plus D/T/CI/OI isotopes plus X) in every output file, regardless of what the model actually contained. This polluted the files and caused diffs against ck2yaml-converted reference outputs. Add ReactionModel.get_elements() that walks each species' molecule[0] atoms and returns the set of Element singletons in use. All three writers now derive their elements block from that set: built-in elements appear only when present; isotopes (D, T, CI, OI) appear only when an isotope atom is on some species; X appears only for surface models. Writer 2's is_plasma path still adds the E pseudo-element without iterating atoms. In chemkin.pyx save_chemkin, the union is computed once across all species before the surface/gas split so that the gas-only Chemkin file in a surface run still lists X (required for downstream ck2yaml conversion to recognize the surface site element). We could cache this list of elements, either updated once per save_all() call, or even just once after model initiation (since no chemistry can create an element that wasn't already there). But that is not done yet. (For simplicity) Side cleanups: drop the unused search_for_additional_elements branch in writer 2 (the new design subsumes it); replace writer 2's inline MixedModel with a real ReactionModel so .get_elements() works without duck typing; remove the module-import-time ELEMENTS_BLOCK/ELEMENTS_LINE globals in writer 1 in favor of per-call computation. Mock containers in the writer 2 tests now inherit ReactionModel for the same reason. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/chemkin.pyx | 66 ++++++++++++++++---------- rmgpy/rmg/model.py | 15 ++++++ rmgpy/yaml_cantera1.py | 70 +++++++++++++++++----------- rmgpy/yaml_cantera2.py | 82 +++++++++++++++++---------------- test/rmgpy/yaml_cantera1Test.py | 22 ++++++--- test/rmgpy/yaml_cantera2Test.py | 56 ++++++++++++++-------- 6 files changed, 195 insertions(+), 116 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index e9f5e78df00..c4d7a611d85 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2120,23 +2120,32 @@ def save_transport_file(path, species): )) -def save_chemkin_file(path, species, reactions, verbose=True, check_for_duplicates=True): +def save_chemkin_file(path, species, reactions, verbose=True, check_for_duplicates=True, + elements_in_use=None): """ Save a Chemkin input file to `path` on disk containing the provided lists of `species` and `reactions`. If check_for_duplicates is False then we don't check for unlabeled duplicate reactions, thus saving time (eg. if you are sure you've already labeled them as duplicate). + + ``elements_in_use`` is a set of :class:`Element` singletons used to write the + ELEMENTS section. If ``None``, it is computed from ``species`` via + :meth:`rmgpy.rmg.model.ReactionModel.get_elements`. """ # Check for duplicate if check_for_duplicates: mark_duplicate_reactions(reactions) + if elements_in_use is None: + from rmgpy.rmg.model import ReactionModel + elements_in_use = ReactionModel(species=species).get_elements() + f = open(path, 'w') sorted_species = sorted(species, key=lambda species: species.index) # Elements section - write_elements_section(f) + write_elements_section(f, elements_in_use) # Species section f.write('SPECIES\n') @@ -2236,14 +2245,15 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_ _chemkin_reaction_count = None -def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, transport_path=None, +def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, transport_path=None, save_edge_species=False): """ Save a Chemkin file for the current model as well as any desired output - species and reactions to `path`. If `save_edge_species` is True, then + species and reactions to `path`. If `save_edge_species` is True, then a chemkin file and dictionary file for the core AND edge species and reactions will be saved. It also saves verbose versions of each file. """ + from rmgpy.rmg.model import ReactionModel if save_edge_species: species_list = reaction_model.core.species + reaction_model.edge.species rxn_list = reaction_model.core.reactions + reaction_model.edge.reactions @@ -2251,6 +2261,9 @@ def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, trans species_list = reaction_model.core.species + reaction_model.output_species_list rxn_list = reaction_model.core.reactions + reaction_model.output_reaction_list + # Same elements list for all files (core and edge) + elements_in_use = ReactionModel(species=species_list).get_elements() + if any([s.contains_surface_site() for s in reaction_model.core.species]): # it's a surface model root, ext = os.path.splitext(path) @@ -2277,19 +2290,23 @@ def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, trans gas_rxn_list.append(r) # We should already have marked everything as duplicates by now so use check_for_duplicates=False - save_chemkin_file(gas_path, gas_species_list, gas_rxn_list, verbose=False, check_for_duplicates=False) + save_chemkin_file(gas_path, gas_species_list, gas_rxn_list, verbose=False, + check_for_duplicates=False, elements_in_use=elements_in_use) save_chemkin_surface_file(surface_path, surface_species_list, surface_rxn_list, verbose=False, check_for_duplicates=False, surface_site_density=reaction_model.surface_site_density) logging.info('Saving annotated version of Chemkin files...') - save_chemkin_file(gas_verbose_path, gas_species_list, gas_rxn_list, verbose=True, check_for_duplicates=False) + save_chemkin_file(gas_verbose_path, gas_species_list, gas_rxn_list, verbose=True, + check_for_duplicates=False, elements_in_use=elements_in_use) save_chemkin_surface_file(surface_verbose_path, surface_species_list, surface_rxn_list, verbose=True, check_for_duplicates=False, surface_site_density=reaction_model.surface_site_density) else: # Gas phase only - save_chemkin_file(path, species_list, rxn_list, verbose=False, check_for_duplicates=False) + save_chemkin_file(path, species_list, rxn_list, verbose=False, + check_for_duplicates=False, elements_in_use=elements_in_use) logging.info('Saving annotated version of Chemkin file...') - save_chemkin_file(verbose_path, species_list, rxn_list, verbose=True, check_for_duplicates=False) + save_chemkin_file(verbose_path, species_list, rxn_list, verbose=True, + check_for_duplicates=False, elements_in_use=elements_in_use) if dictionary_path: save_species_dictionary(dictionary_path, species_list) if transport_path: @@ -2364,27 +2381,26 @@ def save_chemkin_files(rmg, config=None): shutil.copy2(this_chemkin_path, latest_chemkin_path) -def write_elements_section(f): +def write_elements_section(f, elements_in_use): """ - Write the ELEMENTS section of the chemkin file. This file currently lists - all elements and isotopes available in RMG. It may become useful in the future - to only include elements/isotopes present in the current RMG run. + Write the ELEMENTS section of the chemkin file. Only elements present in + ``elements_in_use`` (a set of :class:`Element` singletons) are emitted. Isotopes + (D, T, CI, OI) and the surface site X are written only when actually used. """ + from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X s = 'ELEMENTS\n' - - # map of isotope elements with chemkin-compatible element representation: - elements = ('H', ('H', 2), ('H', 3), 'C', ('C', 13), 'O', ('O', 18), 'N', 'Ne', 'Ar', 'He', 'Si', 'S', - 'F', 'Cl', 'Br', 'I') - for el in elements: - if isinstance(el, tuple): - symbol, isotope = el - chemkin_name = get_element(symbol, isotope=isotope).chemkin_name - mass = 1000 * get_element(symbol, isotope=isotope).mass - s += '\t{0} /{1:.3f}/\n'.format(chemkin_name, mass) - else: - s += '\t' + el + '\n' - s += '\tX /195.083/\n' + builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), + (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] + for element, symbol in builtin_elements: + if element in elements_in_use: + s += f'\t{symbol}\n' + for isotope in (D, T, C13, O18): + if isotope in elements_in_use: + mass = 1000 * isotope.mass + s += f'\t{isotope.chemkin_name} /{mass:.3f}/\n' + if X in elements_in_use: + s += '\tX /195.083/\n' s += 'END\n\n' f.write(s) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 225c8f55399..9457d2f5257 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -162,6 +162,21 @@ def merge(self, other): # Return the merged model return final_model + def get_elements(self): + """ + Return the set of :class:`Element` singletons used by atoms of species + in this :class:`ReactionModel`. Iterates each species' first resonance + structure (``sp.molecule[0]``) and collects ``atom.element``. Species + with empty ``molecule`` are skipped. + """ + elements = set() + for sp in self.species: + if not sp.molecule: + continue + for atom in sp.molecule[0].atoms: + elements.add(atom.element) + return elements + ################################################################################ diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 6d542643f58..336a80420bd 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -92,6 +92,7 @@ def _convert_anymap_to_dict(obj): def write_cantera( spcs, rxns, + elements_in_use, surface_site_density=None, solvent=None, solvent_data=None, @@ -102,6 +103,9 @@ def write_cantera( Writes yaml file depending on the type of system (gas-phase, catalysis). Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info. If verbose=True, species and reaction notes (SMILES, source, kinetics comment) are included. + + elements_in_use is a set of :class:`Element` singletons. Only those elements + are listed in the YAML 'elements' block and 'phases.elements' lines. """ try: @@ -111,6 +115,8 @@ def write_cantera( except Exception: git_head = '' + elements_block, elements_line = get_elements_block(elements_in_use) + # intro to file will change depending on the presence of surface species is_surface = False for spc in spcs: @@ -125,13 +131,13 @@ def write_cantera( spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose ) phases_block = get_phases_with_surface( - spcs, surface_site_density, has_coverage_dependence=has_coverage_dependence + spcs, surface_site_density, elements_line, has_coverage_dependence=has_coverage_dependence ) else: result_dict = get_mech_dict_nonsurface( spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose ) - phases_block = get_phases_gas_only(spcs) + phases_block = get_phases_gas_only(spcs, elements_line) with open(path, "w") as f: # generator line @@ -150,40 +156,44 @@ def write_cantera( f.write(phases_block) - f.write(ELEMENTS_BLOCK) + f.write(elements_block) yaml.dump(result_dict, stream=f, Dumper=Dumper, sort_keys=False, default_flow_style=None, width=80) -def get_elements_block(): +def get_elements_block(elements_in_use): """ - Returns the 'elements' section, and elements list for a phase + Returns the 'elements' section, and elements list for a phase. + + elements_in_use is a set of :class:`Element` singletons (e.g. the ones returned by + :meth:`rmgpy.rmg.model.ReactionModel.get_elements`). Only elements present + in the set are emitted; isotopes (D, T, CI, OI) and the surface site X are + written to the elements block only when actually used. """ - from rmgpy.molecule.element import get_element - elements_list = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', - 'F', 'Cl', 'Br', 'I'] - isotopes = (('H', 2), ('H', 3), ('C', 13),('O', 18)) + from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X + builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), + (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] + elements_list = [symbol for element, symbol in builtin_elements if element in elements_in_use] elements_block_list = ['', 'elements:'] - for symbol, isotope in isotopes: - element = get_element(symbol, isotope=isotope) - chemkin_name = element.chemkin_name - mass = 1000 * element.mass - elements_block_list.append(f"- symbol: {chemkin_name}\n atomic-weight: {mass:f}") - elements_list.append(chemkin_name) - # Surface sites - elements_list.append('X') - elements_block_list.append("- symbol: X\n atomic-weight: 195.083\n\n") + for isotope in (D, T, C13, O18): + if isotope in elements_in_use: + mass = 1000 * isotope.mass + elements_block_list.append(f"- symbol: {isotope.chemkin_name}\n atomic-weight: {mass:f}") + elements_list.append(isotope.chemkin_name) + if X in elements_in_use: + elements_list.append('X') + elements_block_list.append("- symbol: X\n atomic-weight: 195.083\n\n") elements_block = '\n'.join(elements_block_list) elements_line = f"elements: [{', '.join(elements_list)}]" return elements_block, elements_line -# For now this is not dynamic, and includes everything, so we just evaluate it -# once and use it for all files. -ELEMENTS_BLOCK, ELEMENTS_LINE = get_elements_block() -def get_phases_gas_only(spcs): +def get_phases_gas_only(spcs, elements_line): """ Returns 'phases' sections for a file with only gas-phase species/reactions. + + elements_line is the pre-formatted ``elements: [...]`` string from + :func:`get_elements_block`. """ sorted_species = sorted(spcs, key=lambda spcs: spcs.index) species_to_write = [get_species_identifier(spec) for spec in sorted_species] @@ -196,7 +206,7 @@ def get_phases_gas_only(spcs): phases: - name: gas thermo: ideal-gas - {ELEMENTS_LINE} + {elements_line} species: [{', '.join(species_to_write)}] kinetics: gas transport: mixture-averaged @@ -205,7 +215,7 @@ def get_phases_gas_only(spcs): return phases_block -def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence=False): +def get_phases_with_surface(spcs, surface_site_density, elements_line, has_coverage_dependence=False): """ Yaml files with surface species begin with the following blocks of text, which includes TWO phases instead of just one. @@ -250,7 +260,7 @@ def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence= phases: - name: gas thermo: ideal-gas - {ELEMENTS_LINE} + {elements_line} species: [{', '.join(gas_species_to_write)}] kinetics: gas reactions: [gas-reactions] @@ -260,7 +270,7 @@ def get_phases_with_surface(spcs, surface_site_density, has_coverage_dependence= - name: surface thermo: {surface_thermo}{reference_state_line} adjacent-phases: [gas] - {ELEMENTS_LINE} + {elements_line} species: [{', '.join(surface_species_to_write)}] kinetics: surface reactions: [site0-reactions] @@ -480,9 +490,12 @@ def update(self, rmg): if rmg.reaction_model.surface_site_density: surface_site_density = rmg.reaction_model.surface_site_density.value_si + core_elements = rmg.reaction_model.core.get_elements() + write_cantera( rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, + elements_in_use=core_elements, surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, @@ -496,6 +509,7 @@ def update(self, rmg): write_cantera( rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, + elements_in_use=core_elements, surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, @@ -504,9 +518,11 @@ def update(self, rmg): ) if save_edge: + from rmgpy.rmg.model import ReactionModel logging.info('Saving current model core and edge to Cantera file...') edge_species = rmg.reaction_model.core.species + rmg.reaction_model.edge.species edge_reactions = rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions + edge_elements = ReactionModel(species=edge_species, reactions=edge_reactions).get_elements() this_edge_path = os.path.join(self.output_subdirectory, f"chem_edge{num_species:04d}.yaml") @@ -515,6 +531,7 @@ def update(self, rmg): write_cantera( edge_species, edge_reactions, + elements_in_use=edge_elements, surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, @@ -529,6 +546,7 @@ def update(self, rmg): write_cantera( edge_species, edge_reactions, + elements_in_use=edge_elements, surface_site_density=surface_site_density, solvent=rmg.solvent, solvent_data=solvent_data, diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 031d3870119..457e80d400c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -146,21 +146,16 @@ def save_cantera_files(rmg, config=None): # 2. Save Edge Model (Optional, matching ChemkinWriter logic) # ------------------------------------------------------------------------- if save_edge: + from rmgpy.rmg.model import ReactionModel logging.info('Saving current model core and edge to Cantera file...') this_edge_path = os.path.join(cantera_dir, 'chem_edge{0:04d}.yaml'.format(num_species)) latest_edge_path = os.path.join(cantera_dir, 'chem_edge.yaml') - # Create a simple container object to pass to save_cantera_model - class MixedModel: - def __init__(self, species, reactions): - self.species = species - self.reactions = reactions - - edge_model = MixedModel( - rmg.reaction_model.core.species + rmg.reaction_model.edge.species, - rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions + edge_model = ReactionModel( + species=rmg.reaction_model.core.species + rmg.reaction_model.edge.species, + reactions=rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions, ) save_cantera_model(edge_model, this_edge_path, site_density=site_density, verbose=False) @@ -179,12 +174,14 @@ def __init__(self, species, reactions): def save_cantera_model(model_container, path, site_density=None, verbose=False): """ Internal helper to generate the dictionary and write the YAML file. - model_container must have .species and .reactions attributes (lists). + model_container must be a :class:`rmgpy.rmg.model.ReactionModel` (or duck-typed + equivalent with .species, .reactions, and .get_elements()). If verbose=True, species/reaction notes (SMILES, source, kinetics comments) are included in the output. """ species_list = model_container.species reaction_list = model_container.reactions + elements_in_use = model_container.get_elements() is_plasma = False for sp in species_list: @@ -193,7 +190,9 @@ def save_cantera_model(model_container, path, site_density=None, verbose=False): break # Generate Data - yaml_data = generate_cantera_data(species_list, reaction_list, is_plasma=is_plasma, + yaml_data = generate_cantera_data(species_list, reaction_list, + elements_in_use=elements_in_use, + is_plasma=is_plasma, site_density=site_density, verbose=verbose) # Write @@ -201,37 +200,49 @@ def save_cantera_model(model_container, path, site_density=None, verbose=False): # sort_keys=False ensures 'units' comes first, then 'phases', etc. yaml.dump(yaml_data, f, Dumper=Dumper, sort_keys=False, default_flow_style=None) -def get_elements_lists(): +def get_elements_lists(elements_in_use): """ - Returns custom element definitions and the full elements list for phases. + Returns custom element definitions and the elements list for phases. + + elements_in_use is a set of :class:`Element` singletons (typically from + :meth:`rmgpy.rmg.model.ReactionModel.get_elements`). Only those elements + are emitted; isotopes (D, T, CI, OI) and X are added only when present in + the set. The plasma pseudo-element 'E' is added separately by the caller + when ``is_plasma`` is true. """ - from rmgpy.molecule.element import get_element - elements_list = ['H', 'C', 'O', 'N', 'Ne', 'Ar', 'He', 'Si', 'S', - 'F', 'Cl', 'Br', 'I', 'E'] - isotopes = (('H', 2), ('H', 3), ('C', 13), ('O', 18)) + from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X + builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), + (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] + elements_list = [symbol for element, symbol in builtin_elements if element in elements_in_use] custom_elements = [] - for symbol, isotope in isotopes: - element = get_element(symbol, isotope=isotope) - chemkin_name = element.chemkin_name - mass = 1000 * element.mass - custom_elements.append({'symbol': chemkin_name, 'atomic-weight': mass}) - elements_list.append(chemkin_name) - # Surface sites - elements_list.append('X') - custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083}) + for isotope in (D, T, C13, O18): + if isotope in elements_in_use: + mass = 1000 * isotope.mass + custom_elements.append({'symbol': isotope.chemkin_name, 'atomic-weight': mass}) + elements_list.append(isotope.chemkin_name) + if X in elements_in_use: + elements_list.append('X') + custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083}) return custom_elements, elements_list def generate_cantera_data(species_list, reaction_list, + elements_in_use=None, is_plasma=False, site_density=None, - search_for_additional_elements=False, verbose=False, ): """ Converts RMG objects into a dictionary structure compatible with Cantera YAML. If verbose=True, species/reaction notes are included (SMILES, source, kinetics comments). + + elements_in_use is a set of :class:`Element` singletons (typically from + :meth:`rmgpy.rmg.model.ReactionModel.get_elements`) used to size the + 'elements' block and the per-phase elements lists. Defaults to an empty + set if None. """ + if elements_in_use is None: + elements_in_use = set() # --- 1. Header & Units --- # We output everything in SI units. try: @@ -272,21 +283,12 @@ def generate_cantera_data(species_list, gas_reactions.append(rxn) # --- 3. Phase Definitions --- - custom_elements, all_elements = get_elements_lists() - + custom_elements, all_elements = get_elements_lists(elements_in_use) + data['elements'] = custom_elements elements_set = set(all_elements) - - if search_for_additional_elements: - for spc in sorted_species: - if spc.molecule and len(spc.molecule) > 0: - if spc.is_electron(): - elements_set.add('E') - is_plasma = True - else: - for elem in spc.molecule[0].get_element_count().keys(): - if elem != 'X': - elements_set.add(elem) + if is_plasma: + elements_set.add('E') phases = list() diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index d1dece6c739..6f2dc128ca9 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -340,28 +340,35 @@ def test_reaction_to_dicts_surface_spectator_species(self): ) def test_get_elements_block_isotopes_and_surface_site(self): - """get_elements_block returns isotope definitions and X with correct weights.""" - elements_block, elements_line = get_elements_block() + """get_elements_block emits isotope and X definitions only when requested.""" + from rmgpy.molecule.element import H, C, D, T, X - # elements_line should list X + # With D, T, X in use, the block names them with the right masses + elements_block, elements_line = get_elements_block({H, C, D, T, X}) assert 'X' in elements_line - - # elements_block should contain isotope symbols and X assert 'D' in elements_block # H-2 assert 'T' in elements_block # H-3 assert 'X' in elements_block assert '195.083' in elements_block # X atomic weight + # Without isotopes / X in use, neither appears + elements_block, elements_line = get_elements_block({H, C}) + assert 'X' not in elements_line + assert ' D ' not in elements_line and '[D' not in elements_line and ', D' not in elements_line + assert 'D' not in elements_block + assert 'T' not in elements_block + assert 'X' not in elements_block + def test_get_phases_gas_only_has_state(self): """Gas-only phases block includes state with T and P.""" - phases_block = get_phases_gas_only([self.h2, self.h]) + phases_block = get_phases_gas_only([self.h2, self.h], 'elements: [H]') assert 'state:' in phases_block assert 'T: 300.0' in phases_block assert 'P: 1 atm' in phases_block def test_get_phases_gas_only_has_elements(self): """Gas-only phases block includes elements line.""" - phases_block = get_phases_gas_only([self.h2]) + phases_block = get_phases_gas_only([self.h2], 'elements: [H]') assert 'elements:' in phases_block def test_get_mech_dict_nonsurface_reactions_key(self): @@ -394,6 +401,7 @@ def test_get_phases_with_surface_has_state(self): phases_block = get_phases_with_surface( [self.h2, self.x, self.hx], surface_site_density=2.5e-9, # mol/cm^2-equivalent SI + elements_line='elements: [H, X]', ) # Should have two phase definitions each with state assert phases_block.count('state:') == 2 diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index bed7f33f2f4..f85941cbe0a 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -231,10 +231,11 @@ def test_full_integration_plasma_model(self): # 2. Mock RMG Object Structure # The writer expects: rmg.output_directory and rmg.reaction_model.core - class MockCore: + from rmgpy.rmg.model import ReactionModel + + class MockCore(ReactionModel): def __init__(self): - self.species = species - self.reactions = reactions + super().__init__(species=species, reactions=reactions) class MockModel: def __init__(self): @@ -388,10 +389,11 @@ def _create_dummy_model(self): reaction_list = [rxn_arr] # Mock Object Structure - class MockCore: + from rmgpy.rmg.model import ReactionModel + + class MockCore(ReactionModel): def __init__(self, s, r): - self.species = s - self.reactions = r + super().__init__(species=s, reactions=r) class MockModel: def __init__(self, core): @@ -546,36 +548,52 @@ def test_reaction_to_dict_thirdbody_unit(self): assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7) def test_get_elements_block_isotopes_and_surface_site(self): - """get_elements_lists returns isotope definitions and X with correct weights.""" - custom_elements, elements_list = get_elements_lists() + """get_elements_lists emits isotope and X definitions only when in use.""" + from rmgpy.molecule.element import H, C, D, T, X + # With D, T, X in use: isotope and X entries appear + custom_elements, elements_list = get_elements_lists({H, C, D, T, X}) + assert 'H' in elements_list + assert 'C' in elements_list assert 'X' in elements_list x_entry = next((e for e in custom_elements if e['symbol'] == 'X'), None) assert x_entry is not None assert np.isclose(x_entry['atomic-weight'], 195.083) - symbols = [e['symbol'] for e in custom_elements] assert 'D' in symbols # H-2 assert 'T' in symbols # H-3 for entry in custom_elements: assert entry['atomic-weight'] > 0 + # Without isotopes / X: no custom entries, no X in the elements list + custom_elements, elements_list = get_elements_lists({H, C}) + assert custom_elements == [] + assert 'X' not in elements_list + assert 'D' not in elements_list + assert 'T' not in elements_list + def test_generate_cantera_data_elements_block(self): - """generate_cantera_data includes top-level 'elements' key with custom definitions.""" + """generate_cantera_data emits a top-level 'elements' key whose custom entries + track elements_in_use: empty for plain gas, includes X when a surface site is present.""" + from rmgpy.molecule.element import H, X h2 = self._create_dummy_species("H2", "[H][H]", index=1) - data = generate_cantera_data([h2], []) + # Gas-only H2: no isotopes, no X -> custom 'elements' list is empty. + data = generate_cantera_data([h2], [], elements_in_use={H}) assert 'elements' in data - custom_elements = data['elements'] - assert isinstance(custom_elements, list) - assert len(custom_elements) > 0 - symbols = [e['symbol'] for e in custom_elements] + assert data['elements'] == [] + + # Surface fixture: X is in use, so it appears as a custom element. + x = self._create_surface_species("X", "1 X u0 p0", index=2) + data = generate_cantera_data([h2, x], [], elements_in_use={H, X}) + symbols = [e['symbol'] for e in data['elements']] assert 'X' in symbols def test_generate_cantera_data_gas_phase_state(self): """Gas phase definition includes a 'state' block with T and P.""" + from rmgpy.molecule.element import H h2 = self._create_dummy_species("H2", "[H][H]", index=1) - data = generate_cantera_data([h2], []) + data = generate_cantera_data([h2], [], elements_in_use={H}) gas_phase = data['phases'][0] assert 'state' in gas_phase @@ -584,13 +602,14 @@ def test_generate_cantera_data_gas_phase_state(self): def test_generate_cantera_data_gas_reactions_key(self): """Gas-only model uses top-level 'reactions' key (matching ck2yaml).""" + from rmgpy.molecule.element import H h2 = self._create_dummy_species("H2", "[H][H]", index=1) h = self._create_dummy_species("H", "[H]", index=2) rxn = Reaction( reactants=[h2], products=[h, h], kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K")) ) - data = generate_cantera_data([h2, h], [rxn]) + data = generate_cantera_data([h2, h], [rxn], elements_in_use={H}) gas_phase = data['phases'][0] assert 'reactions' not in gas_phase, "Gas-only phase should not reference reactions" @@ -600,6 +619,7 @@ def test_generate_cantera_data_gas_reactions_key(self): def test_generate_cantera_data_surface_phase_state_and_reactions_key(self): """Surface phase has 'state' and references 'surface-reactions'; data has that key.""" + from rmgpy.molecule.element import H, X h2 = self._create_dummy_species("H2", "[H][H]", index=1) x = self._create_surface_species("X", "1 X u0 p0", index=2) hx = self._create_surface_species( @@ -609,7 +629,7 @@ def test_generate_cantera_data_surface_phase_state_and_reactions_key(self): A=(1e13, "m^2/(mol*s)"), n=0, Ea=(50, "kJ/mol"), T0=(1, "K") ) rxn = Reaction(reactants=[h2, x], products=[hx, hx], kinetics=kin) - data = generate_cantera_data([h2, x, hx], [rxn]) + data = generate_cantera_data([h2, x, hx], [rxn], elements_in_use={H, X}) surface_phase = next(p for p in data['phases'] if p['name'] == 'surface') assert 'state' in surface_phase From be06c2d9e5f67dd9071ff4d034e2078dbc2766e1 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 00:18:19 -0400 Subject: [PATCH 580/700] Wipe stale Cantera/Chemkin output dirs at job startup Previously, cantera_from_ck/ was created lazily and never cleaned up between runs, so stale files from a previous job could persist in a re-used output directory. cantera1/ and cantera2/ were wiped when their writers were initialized but left untouched when the writers were disabled, again allowing stale files to mislead the user. This change: - Adds cantera_from_ck/ to the dirs ChemkinWriter wipes/creates - In register_listeners, deletes the chemkin/, cantera_from_ck/, cantera1/, and cantera2/ folders when their respective writers are not configured for this run. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/chemkin.pyx | 1 + rmgpy/rmg/main.py | 13 +++++++++++++ 2 files changed, 14 insertions(+) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index c4d7a611d85..de8a9d4e3e9 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2432,6 +2432,7 @@ class ChemkinWriter(object): super(ChemkinWriter, self).__init__() self.config = config make_output_subdirectory(output_directory, 'chemkin') + make_output_subdirectory(output_directory, 'cantera_from_ck') def update(self, rmg): if self.config is not None and not self.config.should_write( diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index a9539d5da5c..5e41cca6313 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -824,12 +824,25 @@ def register_listeners(self, requires_rms=False): if cfg_chemkin.enabled: self.attach(ChemkinWriter(self.output_directory, cfg_chemkin)) + else: + for stale in ("chemkin", "cantera_from_ck"): + stale_dir = os.path.join(self.output_directory, stale) + if os.path.isdir(stale_dir): + shutil.rmtree(stale_dir) if cfg_rms.enabled: self.attach(RMSWriter(self.output_directory, cfg_rms)) if cfg_cantera1.enabled: self.attach(CanteraWriter1(self.output_directory, cfg_cantera1)) + else: + stale_dir = os.path.join(self.output_directory, "cantera1") + if os.path.isdir(stale_dir): + shutil.rmtree(stale_dir) if cfg_cantera2.enabled: self.attach(CanteraWriter2(self.output_directory, cfg_cantera2)) + else: + stale_dir = os.path.join(self.output_directory, "cantera2") + if os.path.isdir(stale_dir): + shutil.rmtree(stale_dir) if cfg_html.enabled: self.attach(OutputHTMLWriter(self.output_directory, cfg_html)) From 4bf3cb46896d660092e7f0244a1ae1f5815d40ff Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 09:30:40 -0400 Subject: [PATCH 581/700] Fix Arkane call to write_elements_section after signature change We recently added a required elements_in_use argument to Chemkin's write_elements_section but only updated the in-tree caller in chemkin.pyx. Arkane's chem.inp writer in arkane/main.py was still calling it with just the file handle, which broke the conda_build test that runs Arkane. Co-Authored-By: Claude Opus 4.7 (1M context) --- arkane/main.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/arkane/main.py b/arkane/main.py index 9526b6e75c0..9f1ba58cd45 100644 --- a/arkane/main.py +++ b/arkane/main.py @@ -188,9 +188,17 @@ def execute(self): pass chemkin_file = os.path.join(self.output_directory, 'chem.inp') + # Collect elements used by any species with a known structure so the + # ELEMENTS block lists only what's actually present. + elements_in_use = set() + for job in self.job_list: + if isinstance(job, ThermoJob) and job.species.molecule: + for atom in job.species.molecule[0].atoms: + elements_in_use.add(atom.element) + # write the chemkin files and run the thermo and then kinetics jobs with open(chemkin_file, 'w') as f: - write_elements_section(f) + write_elements_section(f, elements_in_use) f.write('SPECIES\n\n') From 9a1d76e3c17346c614ed333eb52005848a200d16 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 09:56:00 -0400 Subject: [PATCH 582/700] Skip empty Cantera YAML 'elements' blocks to match ck2yaml output The Cantera YAML writers were emitting a top-level 'elements:' block even when only Cantera's built-in elements (H, C, O, ...) were in use, which ck2yaml never does. Also in yaml_cantera1, get_elements_block prepended an "elements:" header with no trailing newline Both writers now omit the block entirely when there are no non-builtin entries. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/yaml_cantera1.py | 12 ++++++++---- rmgpy/yaml_cantera2.py | 3 ++- test/rmgpy/yaml_cantera1Test.py | 5 +++-- test/rmgpy/yaml_cantera2Test.py | 14 +++++++------- 4 files changed, 20 insertions(+), 14 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 336a80420bd..ab94e2079bb 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -173,16 +173,20 @@ def get_elements_block(elements_in_use): builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] elements_list = [symbol for element, symbol in builtin_elements if element in elements_in_use] - elements_block_list = ['', 'elements:'] + custom_elements = [] for isotope in (D, T, C13, O18): if isotope in elements_in_use: mass = 1000 * isotope.mass - elements_block_list.append(f"- symbol: {isotope.chemkin_name}\n atomic-weight: {mass:f}") + custom_elements.append({'symbol': isotope.chemkin_name, 'atomic-weight': mass}) elements_list.append(isotope.chemkin_name) if X in elements_in_use: elements_list.append('X') - elements_block_list.append("- symbol: X\n atomic-weight: 195.083\n\n") - elements_block = '\n'.join(elements_block_list) + custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083}) + # Only emit the top-level 'elements:' block when there are non-builtin entries + if custom_elements: + elements_block = '\nelements:\n' + '\n'.join([f"- symbol: {e['symbol']}\n atomic-weight: {e['atomic-weight']:f}" for e in custom_elements]) + '\n\n' + else: + elements_block = '' elements_line = f"elements: [{', '.join(elements_list)}]" return elements_block, elements_line diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 457e80d400c..2b4fcdc1316 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -285,7 +285,8 @@ def generate_cantera_data(species_list, # --- 3. Phase Definitions --- custom_elements, all_elements = get_elements_lists(elements_in_use) - data['elements'] = custom_elements + if custom_elements: + data['elements'] = custom_elements elements_set = set(all_elements) if is_plasma: elements_set.add('E') diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 6f2dc128ca9..50c056d8231 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -509,9 +509,10 @@ def testPhasesMatch(self): def testElementsMatch(self): """Test that the element definitions in both YAML files match.""" - ck2yaml_elements = sorted(self.yaml1['elements'], key=lambda e: e['symbol']) + assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has 'elements' block while the other does not." + ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol']) # Put symbol into Titlecase to match ck2yaml's formatting - rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2['elements']] + rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])] # Sort by the 'symbol' key. rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) # Compare symbols exactly, and atomic weights approximately diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index f85941cbe0a..82e5b8fc5d4 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -573,15 +573,14 @@ def test_get_elements_block_isotopes_and_surface_site(self): assert 'T' not in elements_list def test_generate_cantera_data_elements_block(self): - """generate_cantera_data emits a top-level 'elements' key whose custom entries - track elements_in_use: empty for plain gas, includes X when a surface site is present.""" + """generate_cantera_data emits a top-level 'elements' key only when + non-builtin elements (isotopes, X) are in use, matching ck2yaml.""" from rmgpy.molecule.element import H, X h2 = self._create_dummy_species("H2", "[H][H]", index=1) - # Gas-only H2: no isotopes, no X -> custom 'elements' list is empty. + # Gas-only H2: no isotopes, no X -> no top-level 'elements' block. data = generate_cantera_data([h2], [], elements_in_use={H}) - assert 'elements' in data - assert data['elements'] == [] + assert 'elements' not in data # Surface fixture: X is in use, so it appears as a custom element. x = self._create_surface_species("X", "1 X u0 p0", index=2) @@ -743,9 +742,10 @@ def testPhasesMatch(self): def testElementsMatch(self): """Test that the element definitions in both YAML files match.""" - ck2yaml_elements = sorted(self.yaml1['elements'], key=lambda e: e['symbol']) + assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has an 'elements' block while the other does not." + ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol']) # Put symbol into Titlecase to match ck2yaml's formatting - rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2['elements']] + rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])] rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) # Compare symbols exactly, and atomic weights approximately assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ From 168e030f837c02ece398f1882abf9aebc3323386 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 23:39:17 -0400 Subject: [PATCH 583/700] Use => for irreversible reactions in Cantera YAML writer get_reaction_equation hard-coded <=> for every reaction, so irreversible RMG reactions came out reversible in the Cantera YAML output and diverged from the ck2yaml baseline. Honor reaction.reversible when picking the arrow. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/yaml_cantera2.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 2b4fcdc1316..d7b007ddae1 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -652,7 +652,8 @@ def get_reaction_equation(reaction, species_list): else: suffix = " (+ M)" - return reactants_str + suffix + " <=> " + products_str + suffix + arrow = " <=> " if reaction.reversible else " => " + return reactants_str + suffix + arrow + products_str + suffix def get_label(obj: Union['Species', 'Molecule'], species_list: list['Species']): From 5dd2d11d0e160ed006054566fe8a1ca892fb0711 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 15 May 2026 23:51:25 -0400 Subject: [PATCH 584/700] Distinguish three-body vs falloff equation notation in Cantera YAML 2 ThirdBody (real three-body) reactions and Lindemann/Troe (falloff) reactions were both being written with the falloff '(+ M)' notation. Cantera infers the reaction order from the equation, so writing a three-body reaction with '(+M)' caused Cantera to treat it as a bimolecular falloff and convert the A-factor to internal kmol-units with the wrong order; in compare_cantera_yaml this surfaced as a 1000x rate-constant discrepancy against ck2yaml output that consistently used '+ M' for three-body. Write ThirdBody as 'reactants + M = products + M' and Lindemann/Troe as 'reactants (+M) = products (+M)'. If a specific_collider is set, substitute its species label for 'M' on both sides. Co-Authored-By: Claude Opus 4.7 (1M context) --- rmgpy/yaml_cantera2.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index d7b007ddae1..db051e2c022 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -646,11 +646,16 @@ def get_reaction_equation(reaction, species_list): suffix = "" kin = reaction.kinetics - if isinstance(kin, (ThirdBody, Lindemann, Troe)): - if hasattr(reaction, 'specific_collider') and reaction.specific_collider: - suffix = " + " + get_label(reaction.specific_collider, species_list) - else: - suffix = " (+ M)" + collider = getattr(reaction, 'specific_collider', None) + if isinstance(kin, ThirdBody): + # Real three-body reaction: M (or specific collider) participates as a + # reactant on both sides without parentheses. + m_label = get_label(collider, species_list) if collider else "M" + suffix = " + " + m_label + elif isinstance(kin, (Lindemann, Troe)): + # Pressure-dependent falloff: M acts as a chaperone, written in parens. + m_label = get_label(collider, species_list) if collider else "M" + suffix = " (+" + m_label + ")" arrow = " <=> " if reaction.reversible else " => " return reactants_str + suffix + arrow + products_str + suffix From 419c61b1a03ea635c1f0d8eb600ef5a1dd319571 Mon Sep 17 00:00:00 2001 From: Richard West Date: Sat, 16 May 2026 00:05:04 -0400 Subject: [PATCH 585/700] Strip spurious efficiencies in yaml_cantera1 writer Commit 811a0fd0e switched reaction_to_dicts to build ct.Reaction from an equation string to dodge Cantera's spectator-species third-body misidentification. That dodge fails when there are three or more species on one side and a species also appears on the other side (e.g. COOH_X + vacantX <=> CO2 + HX + vacantX, where vacantX is repeated): Cantera still classifies the reaction as three-body-interface-Arrhenius and ct_reaction.input_data gains a spurious 'efficiencies' entry. The writer faithfully copied that into the YAML, producing a file Cantera then refused to load because the reaction is not declared three-body. Drop 'efficiencies' from reaction_data when the underlying RMG kinetics is not a real third-body type (ThirdBody / Lindemann / Troe). Add a regression test that mirrors the failing surface topology. Co-Authored-By: Claude Opus 4.7 (1M context) (then fixed a bit) --- rmgpy/yaml_cantera1.py | 10 +++++++++ test/rmgpy/yaml_cantera1Test.py | 38 +++++++++++++++++++++++++++++++++ 2 files changed, 48 insertions(+) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index ab94e2079bb..bb30d467e82 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -47,6 +47,7 @@ MultiArrhenius, MultiPDepArrhenius, ) +from rmgpy.kinetics.model import PDepKineticsModel from rmgpy.util import make_output_subdirectory from datetime import datetime from rmgpy.chemkin import get_species_identifier @@ -359,6 +360,8 @@ def reaction_to_dicts(obj, spcs, verbose=False): else: list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)] + is_third_body = isinstance(obj.kinetics, PDepKineticsModel) + for reaction in list_of_cantera_reactions: reaction_data = reaction.input_data efficiencies = getattr(obj.kinetics, "efficiencies", {}) @@ -370,6 +373,13 @@ def reaction_to_dicts(obj, spcs, verbose=False): ) if val != 1 } + elif not is_third_body: + # Cantera's API misidentifies a species that appears on both sides + # of a reaction (e.g. vacantX) as a third-body collider + # when there are three or more species on one side, producing a + # spurious 'efficiencies' entry in input_data. + # see https://github.com/Cantera/cantera/issues/2115 + reaction_data.pop("efficiencies", None) # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 50c056d8231..caa8cb7846b 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -339,6 +339,44 @@ def test_reaction_to_dicts_surface_spectator_species(self): f"Spectator stoichiometry should not be doubled in: {eq}" ) + def test_reaction_to_dicts_three_species_one_side_spectator(self): + """Spectator on both sides with 3+ stoichiometric items on a side must still drop efficiencies. + + Cantera's API misidentifies a species with net-zero stoichiometry as + a third-body collider whenever the reaction has three or more + stoichiometric items on one side. Routing ct.Reaction through an + equation string avoids this only for the 2-each-side case. For + wider reactions the writer must strip the resulting spurious + 'efficiencies' from input_data so the YAML round-trips through + ct.Solution. + """ + ox = _make_surface_species( + "O_X", + "1 O u0 p2 c0 {2,D}\n2 X u0 p0 c0 {1,D}", + index=6, + ) + # Recombinative H2 desorption with an adjacent O_X site as a chemically + # inert spectator: + # 2 H_X + O_X <=> H2 + O_X + 2 X (atom balance: 2 H + O + 3 X) + # O_X has stoichiometry 1 on each side (net zero), so Cantera flags it + # as a third-body collider even though the underlying kinetics is a + # plain SurfaceArrhenius. + kin = SurfaceArrhenius( + A=(3.73e19, "m^2/(mol*s)"), n=0.475, Ea=(33.6, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[self.hx, self.hx, ox], + products=[self.h2, ox, self.x, self.x], + kinetics=kin, + ) + species_list = self.all_surface + [ox] + entries = reaction_to_dicts(rxn, species_list) + d = entries[0] + assert "efficiencies" not in d, ( + "Spurious 'efficiencies' must not appear for a SurfaceArrhenius " + f"reaction with a net-zero-stoichiometry spectator. Got: {d}" + ) + def test_get_elements_block_isotopes_and_surface_site(self): """get_elements_block emits isotope and X definitions only when requested.""" from rmgpy.molecule.element import H, C, D, T, X From dd118cd54e23406f0173b5a9b5c25310141404d2 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 10:30:54 -0400 Subject: [PATCH 586/700] Emit 'type: three-body' for ThirdBody reactions in cantera1 writer Cantera's input_data omits the 'type' field for plain ThirdBody reactions (it only adds 'type: falloff' for Lindemann/Troe). The ck2yaml-converted reference YAML does include 'type: three-body', so the cantera1 writer was producing a slightly different representation than the same mechanism going through Chemkin first. Insert 'type: three-body' explicitly when obj.kinetics is a ThirdBody (but not Lindemann/Troe, which are sibling classes that already get 'type: falloff' from Cantera). Strengthen the existing ThirdBody test to assert on the new field. --- rmgpy/yaml_cantera1.py | 10 ++++++++++ test/rmgpy/yaml_cantera1Test.py | 3 ++- 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index bb30d467e82..2a83c9c4c10 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -47,6 +47,7 @@ MultiArrhenius, MultiPDepArrhenius, ) +from rmgpy.kinetics.falloff import ThirdBody from rmgpy.kinetics.model import PDepKineticsModel from rmgpy.util import make_output_subdirectory from datetime import datetime @@ -364,6 +365,15 @@ def reaction_to_dicts(obj, spcs, verbose=False): for reaction in list_of_cantera_reactions: reaction_data = reaction.input_data + # Cantera's input_data omits 'type: three-body' for plain ThirdBody + # reactions (only Lindemann/Troe falloff get a 'type' field). Add it + # explicitly so the YAML matches what ck2yaml emits for the same input. + if isinstance(obj.kinetics, ThirdBody) and "type" not in reaction_data: + new_data = {"equation": reaction_data["equation"], "type": "three-body"} + for k, v in reaction_data.items(): + if k != "equation": + new_data[k] = v + reaction_data = new_data efficiencies = getattr(obj.kinetics, "efficiencies", {}) if efficiencies: reaction_data["efficiencies"] = { diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index caa8cb7846b..ba4152aee50 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -165,7 +165,7 @@ def test_reaction_to_dicts_arrhenius_equation_and_rate(self): assert np.isclose(d["rate-constant"]["Ea"], 10e6) # 10 kJ/mol → 1e7 J/kmol def test_reaction_to_dicts_thirdbody(self): - """ThirdBody: equation uses M, efficiencies map present.""" + """ThirdBody: type is three-body, equation uses M, efficiencies map present.""" kin = ThirdBody( arrheniusLow=Arrhenius( A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K") @@ -177,6 +177,7 @@ def test_reaction_to_dicts_thirdbody(self): ) entries = reaction_to_dicts(rxn, self.all_gas) d = entries[0] + assert d["type"] == "three-body" assert "M" in d["equation"] assert "rate-constant" in d assert "efficiencies" in d From ad5f72dfba428a49dddd55ae319d7cd9f98be4fb Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 10:32:46 -0400 Subject: [PATCH 587/700] Preserve reactant ordering in cantera1 YAML equation strings Cantera builds the equation field of input_data by iterating its internal (sorted) reactant/product map, so a Troe reaction with RMG-side reactants in order [O2, H] came out as 'H + O2 (+M) <=> HO2 (+M)'. It also collapsed repeated species into stoichiometric coefficients ('2 OH(12)' instead of 'OH(12) + OH(12)'). Both diverged from the ck2yaml-converted reference YAML, which keeps the Chemkin order and writes duplicates as repeated terms. Build the equation locally from obj.reactants/obj.products and overwrite reaction_data['equation'] before yaml.dump. The helper inlines the same suffix conventions as CanteraWriter2 ('+ M' for ThirdBody, '(+M)'/specific-collider for falloff). Update the two_H-product Arrhenius test to expect the new (non-collapsed) form. --- rmgpy/yaml_cantera1.py | 37 ++++++++++++++++++++++++++++++++- test/rmgpy/yaml_cantera1Test.py | 2 +- 2 files changed, 37 insertions(+), 2 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 2a83c9c4c10..6206e407bcc 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -47,7 +47,7 @@ MultiArrhenius, MultiPDepArrhenius, ) -from rmgpy.kinetics.falloff import ThirdBody +from rmgpy.kinetics.falloff import Lindemann, ThirdBody, Troe from rmgpy.kinetics.model import PDepKineticsModel from rmgpy.util import make_output_subdirectory from datetime import datetime @@ -345,6 +345,33 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None, v return result_dict +def _build_equation_string(obj): + """ + Build the reaction equation string preserving the order of reactants and + products as stored on the RMG Reaction object. Cantera's input_data sorts + reactant/product maps internally, which loses the source ordering (e.g. + 'H + O2' instead of 'O2 + H' for HO2 formation). Match the equation + convention used by ck2yaml/CanteraWriter2: stoichiometry coefficients are + not collapsed, third-body M (or specific collider) is appended without + parentheses, and falloff colliders are written as '(+M)'. + """ + reactants = " + ".join(r.to_chemkin() for r in obj.reactants) + products = " + ".join(p.to_chemkin() for p in obj.products) + + suffix = "" + kin = obj.kinetics + collider = getattr(obj, "specific_collider", None) + if isinstance(kin, ThirdBody) and not isinstance(kin, (Lindemann, Troe)): + m_label = collider.to_chemkin() if collider else "M" + suffix = " + " + m_label + elif isinstance(kin, (Lindemann, Troe)): + m_label = collider.to_chemkin() if collider else "M" + suffix = " (+" + m_label + ")" + + arrow = " <=> " if obj.reversible else " => " + return reactants + suffix + arrow + products + suffix + + def reaction_to_dicts(obj, spcs, verbose=False): """ Takes an RMG reaction object (obj), returns a list of dictionaries @@ -363,8 +390,16 @@ def reaction_to_dicts(obj, spcs, verbose=False): is_third_body = isinstance(obj.kinetics, PDepKineticsModel) + rmg_equation = _build_equation_string(obj) + for reaction in list_of_cantera_reactions: reaction_data = reaction.input_data + # Cantera reorders reactant and product species (e.g. it writes + # 'H + O2' even when the RMG reaction has them in the order O2, H), + # and collapses repeated species into stoichiometric coefficients. + # Overwrite with an equation built from obj.reactants/products to + # preserve the source ordering and match ck2yaml's output style. + reaction_data["equation"] = rmg_equation # Cantera's input_data omits 'type: three-body' for plain ThirdBody # reactions (only Lindemann/Troe falloff get a 'type' field). Add it # explicitly so the YAML matches what ck2yaml emits for the same input. diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index ba4152aee50..467e5a008b4 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -158,7 +158,7 @@ def test_reaction_to_dicts_arrhenius_equation_and_rate(self): entries = reaction_to_dicts(rxn, self.all_gas) assert len(entries) == 1 d = entries[0] - assert d["equation"] == "H2(1) <=> 2 H(2)" + assert d["equation"] == "H2(1) <=> H(2) + H(2)" assert "rate-constant" in d assert np.isclose(d["rate-constant"]["A"], 1e13) assert np.isclose(d["rate-constant"]["b"], 0.5) From 829791d6dc125c73562e1ce1d2c24c0d81c4d2c4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 14:57:34 -0400 Subject: [PATCH 588/700] Render multi-line Cantera YAML 'note' fields as '|' block scalars MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Both writers were joining note parts with ' | ' and dumping the result as a single line — including any multi-line kinetics.comment, whose newlines were replaced with '; '. PyYAML's default for strings that do contain newlines is the double-quoted '...' form with embedded '\n', which is hard to read in the chem_annotated.yaml output and diverges from the '|' literal block style emitted by ck2yaml. Register a Dumper subclass with a representer that picks the '|' literal block style for any string containing a newline. Build the note as a list of lines joined on '\n' (with a trailing newline so PyYAML picks '|' rather than '|-'), and preserve the original line structure of kinetics.comment instead of collapsing it onto one line. Right-strip each line — PyYAML falls back to '...' if any line has trailing whitespace, and the Chemkin writer leaves trailing spaces on some rate-rule lines. --- rmgpy/yaml_cantera1.py | 46 +++++++++++++++++++++++++++-------- rmgpy/yaml_cantera2.py | 54 ++++++++++++++++++++++++++++++------------ 2 files changed, 75 insertions(+), 25 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 6206e407bcc..39d87b7e154 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -36,12 +36,30 @@ import os import shutil try: - from yaml import CDumper as Dumper + from yaml import CDumper as _BaseDumper except ImportError: - from yaml import Dumper + from yaml import Dumper as _BaseDumper import yaml import logging + +class Dumper(_BaseDumper): + """ + YAML Dumper that emits multi-line strings using the literal block style + ('|') instead of the default double-quoted form with embedded '\\n'. + Used to render the multi-line 'note' field on reactions in a way that + mirrors ck2yaml's output. + """ + + +def _multiline_str_representer(dumper, data): + if "\n" in data: + return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|") + return dumper.represent_scalar("tag:yaml.org,2002:str", data) + + +Dumper.add_representer(str, _multiline_str_representer) + from rmgpy.species import Species from rmgpy.kinetics.arrhenius import ( MultiArrhenius, @@ -429,19 +447,27 @@ def reaction_to_dicts(obj, spcs, verbose=False): reaction_data = _convert_anymap_to_dict(reaction_data) if verbose: - note_parts = [] + note_lines = [] if isinstance(obj, TemplateReaction): - note_parts.append(f"Template reaction: {obj.family}") + note_lines.append(f"Template reaction: {obj.family}") elif isinstance(obj, LibraryReaction): - note_parts.append(f"Library reaction: {obj.library}") + note_lines.append(f"Library reaction: {obj.library}") elif isinstance(obj, PDepReaction): - note_parts.append(f"PDep reaction: {obj.network}") + note_lines.append(f"PDep reaction: {obj.network}") if obj.specific_collider is not None: - note_parts.append(f"Specific collider: {obj.specific_collider.label}") + note_lines.append(f"Specific collider: {obj.specific_collider.label}") if obj.kinetics.comment: - note_parts.append(obj.kinetics.comment.replace('\n', '; ').strip()) - if note_parts: - reaction_data["note"] = " | ".join(note_parts) + # Preserve the original line structure of the kinetics + # comment (one line per source line) and right-strip each + # line: PyYAML refuses the '|' literal block style for any + # value whose lines have trailing whitespace. + for line in obj.kinetics.comment.strip("\n").split("\n"): + note_lines.append(line.rstrip()) + if note_lines: + # Trailing '\n' keeps PyYAML's literal block style ('|' + # rather than '|-') so the rendered note ends with a + # newline, matching ck2yaml's output. + reaction_data["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" reaction_list.append(reaction_data) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index db051e2c022..f7870e420c5 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -35,11 +35,29 @@ import shutil import logging try: - from yaml import CDumper as Dumper + from yaml import CDumper as _BaseDumper except ImportError: - from yaml import Dumper + from yaml import Dumper as _BaseDumper import yaml + +class Dumper(_BaseDumper): + """ + YAML Dumper that emits multi-line strings using the literal block style + ('|') instead of the default double-quoted form with embedded '\\n'. + Used to render the multi-line 'note' field on reactions in a way that + mirrors ck2yaml's output. + """ + + +def _multiline_str_representer(dumper, data): + if "\n" in data: + return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|") + return dumper.represent_scalar("tag:yaml.org,2002:str", data) + + +Dumper.add_representer(str, _multiline_str_representer) + from rmgpy.data.kinetics.family import TemplateReaction from rmgpy.data.kinetics.library import LibraryReaction from rmgpy.kinetics import ( @@ -617,24 +635,30 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): # --- Metadata / Notes (only when verbose) --- if verbose: - note_parts = list() + note_lines = list() if isinstance(reaction, TemplateReaction): - note_parts.append(f"Source: Template family {reaction.family}") + note_lines.append(f"Source: Template family {reaction.family}") elif isinstance(reaction, LibraryReaction): - note_parts.append(f"Source: Library {reaction.library}") + note_lines.append(f"Source: Library {reaction.library}") elif isinstance(reaction, PDepReaction): - note_parts.append(f"Source: PDep Network #{reaction.network.index}") - - if hasattr(kin, 'comment') and kin.comment: - clean_comment = kin.comment.replace('\n', '; ').strip() - if clean_comment: - note_parts.append(clean_comment) + note_lines.append(f"Source: PDep Network #{reaction.network.index}") if reaction.specific_collider: - note_parts.append(f"Specific collider: {reaction.specific_collider.label}") - - if note_parts: - entry['note'] = " | ".join(note_parts) + note_lines.append(f"Specific collider: {reaction.specific_collider.label}") + + if hasattr(kin, "comment") and kin.comment: + # Preserve the original line structure of the kinetics comment + # (one line per source line) and right-strip each line: PyYAML + # refuses the '|' literal block style for any value whose lines + # have trailing whitespace. + for line in kin.comment.strip("\n").split("\n"): + note_lines.append(line.rstrip()) + + if note_lines: + # Trailing '\n' keeps PyYAML's literal block style ('|' rather + # than '|-') so the rendered note ends with a newline, matching + # ck2yaml's output. + entry["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" return [entry] From a39f30f843d327749b4e96cba09a5e206ba21640 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 14:58:28 -0400 Subject: [PATCH 589/700] Add missing 'Flux pairs' / 'Specific third body collider' to Cantera notes The verbose reaction note had drifted from the annotation block that the Chemkin writer emits (and that ck2yaml round-trips into the reference YAML): the 'Flux pairs: A, B; C, D' line was missing entirely, the third-body-collider line used a shorter label than 'Specific third body collider:' that Chemkin writes, and cantera2 used 'Source: Library X' / 'Source: Template family X' / 'Source: PDep Network #N' instead of the 'Library reaction: X' / 'Template reaction: X' / 'PDep reaction: N' wording used everywhere else. Add the flux pairs line built from reaction.pairs (semicolon-joined 'A, B' pairs, mirroring the Chemkin format), normalise the collider-line label, and align cantera2's source-line wording with cantera1 and the Chemkin annotation. The 'Reaction index: Chemkin #N; RMG #M' prefix line and a Chemkin counter follow in a separate commit. --- rmgpy/yaml_cantera1.py | 8 +++++++- rmgpy/yaml_cantera2.py | 20 ++++++++++++++++---- 2 files changed, 23 insertions(+), 5 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 39d87b7e154..41577826a50 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -455,7 +455,13 @@ def reaction_to_dicts(obj, spcs, verbose=False): elif isinstance(obj, PDepReaction): note_lines.append(f"PDep reaction: {obj.network}") if obj.specific_collider is not None: - note_lines.append(f"Specific collider: {obj.specific_collider.label}") + note_lines.append(f"Specific third body collider: {obj.specific_collider.label}") + if getattr(obj, "pairs", None): + pair_str = "Flux pairs: " + "; ".join( + f"{get_species_identifier(p[0])}, {get_species_identifier(p[1])}" + for p in obj.pairs + ) + note_lines.append(pair_str) if obj.kinetics.comment: # Preserve the original line structure of the kinetics # comment (one line per source line) and right-strip each diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index f7870e420c5..1921c486acd 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -636,15 +636,27 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): # --- Metadata / Notes (only when verbose) --- if verbose: note_lines = list() + # Use the same wording as the Chemkin annotation block (and the + # ck2yaml-converted reference YAML) so the three outputs are + # mutually diffable: 'Library reaction: X' not 'Source: Library X'. if isinstance(reaction, TemplateReaction): - note_lines.append(f"Source: Template family {reaction.family}") + note_lines.append(f"Template reaction: {reaction.family}") elif isinstance(reaction, LibraryReaction): - note_lines.append(f"Source: Library {reaction.library}") + note_lines.append(f"Library reaction: {reaction.library}") elif isinstance(reaction, PDepReaction): - note_lines.append(f"Source: PDep Network #{reaction.network.index}") + note_lines.append(f"PDep reaction: {reaction.network}") if reaction.specific_collider: - note_lines.append(f"Specific collider: {reaction.specific_collider.label}") + note_lines.append( + f"Specific third body collider: {reaction.specific_collider.label}" + ) + + if getattr(reaction, "pairs", None): + pair_str = "Flux pairs: " + "; ".join( + f"{get_label(p[0], species_list)}, {get_label(p[1], species_list)}" + for p in reaction.pairs + ) + note_lines.append(pair_str) if hasattr(kin, "comment") and kin.comment: # Preserve the original line structure of the kinetics comment From 0db55c06f209fae7581ae0aa6e8287ad786686b5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 14:59:54 -0400 Subject: [PATCH 590/700] Number reactions in Cantera YAML notes the same way Chemkin does The Chemkin annotation block opens each reaction with a 'Reaction index: Chemkin #N; RMG #M' line that gives a sequential 1-based Chemkin number plus the parent RMG reaction index. The Cantera YAML notes were missing this entirely, making it hard to cross-reference a row in the YAML against the same reaction in chem_annotated.inp. Add a small per-writer collector (_collect_reactions in cantera1, _collect_reaction_entries in cantera2) that walks the reaction list, increments a shared counter for each YAML entry produced (so MultiArrhenius/MultiPDepArrhenius sub-entries each get their own Chemkin number while sharing the parent RMG index), and prepends the 'Reaction index:' line to each note. The counter is shared across gas + site0/surface reaction blocks so the numbering stays continuous, matching the global counter in the Chemkin writer. --- rmgpy/yaml_cantera1.py | 47 +++++++++++++++++++++++++++++------------ rmgpy/yaml_cantera2.py | 48 +++++++++++++++++++++++++++++++----------- 2 files changed, 69 insertions(+), 26 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 41577826a50..25642b7a849 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -306,6 +306,34 @@ def get_phases_with_surface(spcs, surface_site_density, elements_line, has_cover return phases_block +def _collect_reactions(rxn_list, spcs, verbose, chemkin_counter): + """ + Convert a list of RMG reactions to a list of YAML reaction dicts, + prepending a 'Reaction index: Chemkin #N; RMG #M' line to the note of + each entry (in verbose mode). chemkin_counter is a single-element list + used as a mutable counter so calls across multiple reaction blocks + (e.g. gas + site0 in surface mechanisms) share a continuous Chemkin + numbering, matching the global counter in the Chemkin writer. For + MultiArrhenius/MultiPDepArrhenius reactions, which expand into several + YAML entries, each sub-entry gets its own Chemkin number but shares + the parent RMG index. + """ + entries = [] + for rmg_rxn in rxn_list: + rxn_entries = reaction_to_dicts(rmg_rxn, spcs, verbose=verbose) + for entry in rxn_entries: + chemkin_counter[0] += 1 + if verbose: + index_line = ( + f"Reaction index: Chemkin #{chemkin_counter[0]}; " + f"RMG #{rmg_rxn.index}" + ) + existing = entry.get("note", "") + entry["note"] = index_line + "\n" + existing if existing else index_line + "\n" + entries.extend(rxn_entries) + return entries + + def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None, verbose=False): """ For systems with surface species/reactions. @@ -328,16 +356,9 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None, verb result_dict["species"] = [species_to_dict(x, all_species=spcs, verbose=verbose) for x in spcs] # separate gas and surface reactions - - gas_reactions = [] - for rmg_rxn in gas_rxns: - gas_reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) - result_dict["gas-reactions"] = gas_reactions - - surface_reactions = [] - for rmg_rxn in surface_rxns: - surface_reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) - result_dict["site0-reactions"] = surface_reactions + chemkin_counter = [0] + result_dict["gas-reactions"] = _collect_reactions(gas_rxns, spcs, verbose, chemkin_counter) + result_dict["site0-reactions"] = _collect_reactions(surface_rxns, spcs, verbose, chemkin_counter) return result_dict @@ -355,10 +376,8 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None, v result_dict = dict() result_dict["species"] = [species_to_dict(x, verbose=verbose) for x in spcs] - reactions = [] - for rmg_rxn in rxns: - reactions.extend(reaction_to_dicts(rmg_rxn, spcs, verbose=verbose)) - result_dict["reactions"] = reactions + chemkin_counter = [0] + result_dict["reactions"] = _collect_reactions(rxns, spcs, verbose, chemkin_counter) return result_dict diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 1921c486acd..0b6c30d77c5 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -365,12 +365,14 @@ def generate_cantera_data(species_list, species_data.append(species_to_dict(sp, species_list, verbose=verbose)) data['species'] = species_data - # Build separate reaction lists for each phase if there are two phases - gas_reaction_data = list() - for rxn in gas_reactions: - entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) - if entries: - gas_reaction_data.extend(entries) + # Build separate reaction lists for each phase if there are two phases. + # chemkin_counter is a single-element list used as a mutable counter so + # the Chemkin reaction numbering in verbose notes continues unbroken + # across the gas and surface reaction blocks, matching the global + # counter in the Chemkin writer. + chemkin_counter = [0] + gas_reaction_data = _collect_reaction_entries(gas_reactions, species_list, + verbose, chemkin_counter) if surface_species: data['gas-reactions'] = gas_reaction_data @@ -378,16 +380,38 @@ def generate_cantera_data(species_list, data['reactions'] = gas_reaction_data if surface_reactions: - surface_reaction_data = list() - for rxn in surface_reactions: - entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) - if entries: - surface_reaction_data.extend(entries) - data['surface-reactions'] = surface_reaction_data + data['surface-reactions'] = _collect_reaction_entries( + surface_reactions, species_list, verbose, chemkin_counter) return data +def _collect_reaction_entries(rxns, species_list, verbose, chemkin_counter): + """ + Convert RMG reactions to YAML reaction dicts, prepending a 'Reaction + index: Chemkin #N; RMG #M' line to each note (in verbose mode). For + MultiArrhenius/MultiPDepArrhenius reactions, which expand into several + YAML entries, each sub-entry gets its own Chemkin number but shares + the parent RMG index. + """ + entries = [] + for rxn in rxns: + rxn_entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) + for entry in rxn_entries: + chemkin_counter[0] += 1 + if verbose: + index_line = ( + f"Reaction index: Chemkin #{chemkin_counter[0]}; " + f"RMG #{rxn.index}" + ) + existing = entry.get("note", "") + entry["note"] = ( + index_line + "\n" + existing if existing else index_line + "\n" + ) + entries.extend(rxn_entries) + return entries + + def species_to_dict(species, species_list, verbose=False): """Convert an RMG Species object to a Cantera YAML dictionary. If verbose=True, species notes (SMILES, thermo/transport comments) are included. From a70b99a8f8cbf40d735bfe38d1d579b7a46e1966 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 15:18:11 -0400 Subject: [PATCH 591/700] Tweaking comments in cantera yaml writers Claude likes to put comments in about how it is changing things. Helpful for code review and for figuring out what it's done, but for long term, what's helpful is comments on the current state of the code, not how it has changed. --- rmgpy/yaml_cantera1.py | 15 ++++----------- rmgpy/yaml_cantera2.py | 13 +------------ 2 files changed, 5 insertions(+), 23 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 25642b7a849..ca11e626888 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -437,9 +437,9 @@ def reaction_to_dicts(obj, spcs, verbose=False): # Overwrite with an equation built from obj.reactants/products to # preserve the source ordering and match ck2yaml's output style. reaction_data["equation"] = rmg_equation - # Cantera's input_data omits 'type: three-body' for plain ThirdBody - # reactions (only Lindemann/Troe falloff get a 'type' field). Add it - # explicitly so the YAML matches what ck2yaml emits for the same input. + # Cantera's (v. 3.2) input_data omits 'type: three-body' for plain ThirdBody + # reactions (only Lindemann/Troe falloff get a 'type' field). + # Add it, immediately after the 'equation' field, to match the ck2yaml output. if isinstance(obj.kinetics, ThirdBody) and "type" not in reaction_data: new_data = {"equation": reaction_data["equation"], "type": "three-body"} for k, v in reaction_data.items(): @@ -456,7 +456,7 @@ def reaction_to_dicts(obj, spcs, verbose=False): if val != 1 } elif not is_third_body: - # Cantera's API misidentifies a species that appears on both sides + # Cantera's API (v. 3.2) misidentifies a species that appears on both sides # of a reaction (e.g. vacantX) as a third-body collider # when there are three or more species on one side, producing a # spurious 'efficiencies' entry in input_data. @@ -482,16 +482,9 @@ def reaction_to_dicts(obj, spcs, verbose=False): ) note_lines.append(pair_str) if obj.kinetics.comment: - # Preserve the original line structure of the kinetics - # comment (one line per source line) and right-strip each - # line: PyYAML refuses the '|' literal block style for any - # value whose lines have trailing whitespace. for line in obj.kinetics.comment.strip("\n").split("\n"): note_lines.append(line.rstrip()) if note_lines: - # Trailing '\n' keeps PyYAML's literal block style ('|' - # rather than '|-') so the rendered note ends with a - # newline, matching ck2yaml's output. reaction_data["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" reaction_list.append(reaction_data) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 0b6c30d77c5..a0ad2a9d3fe 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -660,9 +660,6 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): # --- Metadata / Notes (only when verbose) --- if verbose: note_lines = list() - # Use the same wording as the Chemkin annotation block (and the - # ck2yaml-converted reference YAML) so the three outputs are - # mutually diffable: 'Library reaction: X' not 'Source: Library X'. if isinstance(reaction, TemplateReaction): note_lines.append(f"Template reaction: {reaction.family}") elif isinstance(reaction, LibraryReaction): @@ -683,17 +680,10 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): note_lines.append(pair_str) if hasattr(kin, "comment") and kin.comment: - # Preserve the original line structure of the kinetics comment - # (one line per source line) and right-strip each line: PyYAML - # refuses the '|' literal block style for any value whose lines - # have trailing whitespace. for line in kin.comment.strip("\n").split("\n"): note_lines.append(line.rstrip()) if note_lines: - # Trailing '\n' keeps PyYAML's literal block style ('|' rather - # than '|-') so the rendered note ends with a newline, matching - # ck2yaml's output. entry["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" return [entry] @@ -708,8 +698,7 @@ def get_reaction_equation(reaction, species_list): kin = reaction.kinetics collider = getattr(reaction, 'specific_collider', None) if isinstance(kin, ThirdBody): - # Real three-body reaction: M (or specific collider) participates as a - # reactant on both sides without parentheses. + # Real three-body reaction: M (or specific collider) without parentheses. m_label = get_label(collider, species_list) if collider else "M" suffix = " + " + m_label elif isinstance(kin, (Lindemann, Troe)): From 166607413c2e78e17fee9cffb7307fee296c4aac Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 21:29:28 -0400 Subject: [PATCH 592/700] Fix verboseComments handling in Cantera YAML writers MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The per-writer verboseComments option on the Cantera writers gated whether the annotated YAML file was written at all and whether species/reaction note: fields were emitted. That conflated two different things: the global verboseComments option already controls how detailed each kinetics-estimate comment is, and the writer-level decision should just be "is there an annotated file?" — always yes, the same way Chemkin always writes both chem.inp and chem_annotated.inp. Changes: - yaml_cantera1.py / yaml_cantera2.py: drop the verbose parameter and every if verbose: branch. Species notes (SMILES, thermo/transport comments) and reaction notes (template family / library / pdep network, flux pairs, specific collider, kinetics comment, Chemkin/RMG numbering) are now always emitted. Per-iteration output is renamed: chem{NNNN}.yaml → chem_annotated{NNNN}.yaml chem.yaml → chem_annotated.yaml chem_edge*.yaml → chem_edge_annotated*.yaml Halves the number of yaml.dump calls per iteration since the writer no longer produces both an unannotated and an annotated copy. - WriterConfig (rmg/settings.py) and parse/serialize helpers (rmg/input.py): drop verbose_comments entirely. _parse_writer_config now validates dict keys and raises InputError for unknown keys so an old input file carrying {'verboseComments': True} fails fast with a clear message instead of being silently ignored. - chemkin.pyx: remove the dead read of config.verbose_comments in save_chemkin_files (the local was never used). - rmg/main.py: at end-of-run, factor the existing note-stripping regex into a small _strip_yaml_notes helper that handles block style, single-line flow, and multi-line wrapped flow note: fields. Use it to produce notes-stripped chem.yaml / chem_edge.yaml inside each enabled Cantera writer directory (mirroring Chemkin's chem.inp vs chem_annotated.inp split) and continue stripping cantera_from_ck/chem.yaml in place. Comparison report now points at the new chem.yaml files. - docs / examples / tests: remove every per-writer verboseComments reference from input.rst, output.rst, examples/rmg/commented/input.py, inputTest.py, yaml_cantera1Test.py, yaml_cantera2Test.py. Tests for the transport note are reworked to assert the note is always present. Co-Authored-By: Claude Opus 4.7 (1M context) --- documentation/source/users/rmg/input.rst | 12 +- documentation/source/users/rmg/output.rst | 28 ++-- examples/rmg/commented/input.py | 11 +- rmgpy/chemkin.pyx | 1 - rmgpy/rmg/input.py | 17 ++- rmgpy/rmg/main.py | 71 +++++++-- rmgpy/rmg/settings.py | 6 +- rmgpy/yaml_cantera1.py | 175 +++++++++------------- rmgpy/yaml_cantera2.py | 155 +++++++++---------- test/rmgpy/rmg/inputTest.py | 8 +- test/rmgpy/yaml_cantera1Test.py | 10 +- test/rmgpy/yaml_cantera2Test.py | 18 +-- 12 files changed, 252 insertions(+), 260 deletions(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index ba0d5a9ca1f..50c1c703ef3 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -1105,7 +1105,7 @@ Setting ``generatePESDiagrams`` to ``True`` will generate potential energy surfa Setting ``saveSimulationProfiles`` to ``True`` will make RMG save csv files of the simulation in .csv files in the ``solver/`` folder. The filename will be ``simulation_1_26.csv`` where the first number corresponds to the reaciton system, and the second number corresponds to the total number of species at the point of the simulation. Therefore, the highest second number will indicate the latest simulation that RMG has complete while enlarging the core model. The information inside the csv file will provide the time, reactor volume in m^3, as well as mole fractions of the individual species. -Setting ``verboseComments`` to ``True`` will make RMG generate chemkin files with complete verbose commentary for the kinetic and thermo parameters. This will be helpful in debugging what values are being averaged for the kinetics. Note that this may produce very large files. This is a global fallback; individual writers can override it (see below). +Setting ``verboseComments`` to ``True`` will make RMG generate output files with complete verbose commentary for the kinetic and thermo parameters (i.e. listing every rate rule that was averaged). This is helpful for debugging what values are being averaged for the kinetics. Note that this may produce very large files. Setting ``saveEdgeSpecies`` to ``True`` will make RMG generate chemkin files of the edge reactions in addition to the core model in files such as ``chem_edge.inp`` and ``chem_edge_annotated.inp`` files located inside the ``chemkin`` folder. These files will be helpful in viewing RMG's estimate for edge reactions and seeing if certain reactions one expects are actually in the edge or not. This is a global fallback; individual writers can override it (see below). @@ -1124,21 +1124,19 @@ Each accepts ``True``, ``False``, or a Python dict with optional keys: * ``'saveInterval'`` *(int)* — positive N writes every N iterations (iteration numbering starts at 0); ``-1`` writes only at the very end of the run. Defaults to ``1`` (every iteration) for writers that are on by default. -* ``'verboseComments'`` *(bool, optional)* — overrides the global - ``verboseComments`` flag for this writer only. * ``'saveEdge'`` *(bool, optional)* — overrides the global ``saveEdgeSpecies`` flag for this writer only. Examples:: - # Chemkin: save only at the end, with verbose comments and edge species - generateChemkin={'saveInterval': -1, 'verboseComments': True, 'saveEdge': True} + # Chemkin: save only at the end, also writing edge species + generateChemkin={'saveInterval': -1, 'saveEdge': True} # RMS YAML: save every 5 iterations generateRMSYAML={'saveInterval': 5} - # Cantera YAML v2: save every iteration with verbose comments - generateCanteraYAML2={'saveInterval': 1, 'verboseComments': True, 'saveEdge': False} + # Cantera YAML v2: save every iteration, no edge species + generateCanteraYAML2={'saveInterval': 1, 'saveEdge': False} ``generateChemkin`` (default ``True``) Controls the Chemkin writer. Output is written to the ``chemkin/`` folder. diff --git a/documentation/source/users/rmg/output.rst b/documentation/source/users/rmg/output.rst index 632a7fca75c..d1894510f83 100755 --- a/documentation/source/users/rmg/output.rst +++ b/documentation/source/users/rmg/output.rst @@ -77,13 +77,15 @@ This folder is created when ``generateCanteraYAML1=True`` is set in the ``option Files generated: -* ``chem{NNNN}.yaml`` — mechanism snapshot at the iteration when the core contained *NNNN* - species (e.g. ``chem0042.yaml``) -* ``chem.yaml`` — copy of the latest snapshot; always reflects the current model state -* ``chem_annotated.yaml`` — annotated version with SMILES, source, and kinetics comments - (written when ``verboseComments=True`` for this writer) -* ``chem_edge{NNNN}.yaml`` / ``chem_edge.yaml`` / ``chem_edge_annotated.yaml`` — edge-model - equivalents (written when ``saveEdge=True``) +* ``chem_annotated{NNNN}.yaml`` — annotated mechanism snapshot at the iteration when the + core contained *NNNN* species (e.g. ``chem_annotated0042.yaml``). Includes SMILES, + source, and kinetics comments. +* ``chem_annotated.yaml`` — copy of the latest annotated snapshot; always reflects the + current model state. +* ``chem.yaml`` — compact, comment-free copy of the final mechanism, written only at the + end of the run (mirrors Chemkin's ``chem.inp`` vs ``chem_annotated.inp`` split). +* ``chem_edge_annotated{NNNN}.yaml`` / ``chem_edge_annotated.yaml`` / ``chem_edge.yaml`` — + edge-model equivalents (written when ``saveEdge=True``). * ``comparison_report.txt`` — numerical comparison of ``chem.yaml`` against the ``cantera_from_ck`` translation (written at the end of the run if both writers are enabled; see below) @@ -104,12 +106,14 @@ schedule). Files generated: -* ``chem{NNNN}.yaml`` / ``chem.yaml`` — latest mechanism snapshot and its labelled history -* ``chem_annotated.yaml`` — annotated version (written when ``verboseComments=True``) -* ``chem_edge{NNNN}.yaml`` / ``chem_edge.yaml`` / ``chem_edge_annotated.yaml`` — edge-model - equivalents (written when ``saveEdge=True``) +* ``chem_annotated{NNNN}.yaml`` / ``chem_annotated.yaml`` — annotated mechanism snapshots + (per-iteration history and latest copy), including SMILES, source, and kinetics comments. +* ``chem.yaml`` — compact, comment-free copy of the final mechanism, written only at the + end of the run. +* ``chem_edge_annotated{NNNN}.yaml`` / ``chem_edge_annotated.yaml`` / ``chem_edge.yaml`` — + edge-model equivalents (written when ``saveEdge=True``). * ``comparison_report.txt`` — numerical comparison against the ``cantera_from_ck`` - translation (written at the end of the run if both writers are enabled) + translation (written at the end of the run if both writers are enabled). Comparison Reports ^^^^^^^^^^^^^^^^^^ diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py index 95c2c8eecc2..40649d2814d 100644 --- a/examples/rmg/commented/input.py +++ b/examples/rmg/commented/input.py @@ -221,9 +221,9 @@ generatePESDiagrams=False, # saves mole fraction of species in 'solver/' to help you create plots saveSimulationProfiles=False, - # Global fallback for verbose comments (comments on where kinetics were obtained). + # Verbose comments (controls how detailed the kinetics/thermo source comments are, + # e.g. listing every rate rule that was averaged). # Useful for debugging kinetics but increases output file size. - # Individual writers can override this with their own verboseComments key. verboseComments=False, # Global fallback for saving edge-species files. Uses lots of memory in output. # Helpful for seeing why some reactions are not appearing in the core model. @@ -244,12 +244,11 @@ # --- Per-writer output configuration --- # Each writer accepts True/False or a dict with keys: # 'saveInterval': N (positive = every N iterations; -1 = end of run only) - # 'verboseComments': True/False (overrides the global verboseComments above) # 'saveEdge': True/False (overrides the global saveEdgeSpecies above) # # Chemkin writer: always on by default; saves every iteration. generateChemkin=True, - # generateChemkin={'saveInterval': -1, 'verboseComments': True, 'saveEdge': True}, + # generateChemkin={'saveInterval': -1, 'saveEdge': True}, # # RMS YAML writer: always on by default; saves every iteration. generateRMSYAML=True, @@ -257,11 +256,11 @@ # # Cantera YAML v1 writer: off by default. generateCanteraYAML1=False, - # generateCanteraYAML1={'saveInterval': -1, 'verboseComments': True, 'saveEdge': False}, + # generateCanteraYAML1={'saveInterval': -1, 'saveEdge': False}, # # Cantera YAML v2 writer: off by default. generateCanteraYAML2=False, - # generateCanteraYAML2={'saveInterval': 1, 'verboseComments': True, 'saveEdge': True}, + # generateCanteraYAML2={'saveInterval': 1, 'saveEdge': True}, ) # optional module allows for correction to unimolecular reaction rates at low pressures and/or temperatures. diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index de8a9d4e3e9..deca2e37a77 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2317,7 +2317,6 @@ def save_chemkin_files(rmg, config=None): """ Save the current reaction model to a set of Chemkin files. """ - verbose = config.verbose_comments if (config and config.verbose_comments is not None) else rmg.verbose_comments save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species # todo: make this an attribute or method of reactionModel diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 97399c0dd03..051a6d868a8 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1427,8 +1427,7 @@ def _parse_writer_config(value, default_save_interval=1): value : bool or dict ``False`` disables the writer. ``True`` enables it with *default_save_interval*. A dict may contain the keys - ``'saveInterval'`` (int), ``'verboseComments'`` (bool), and - ``'saveEdge'`` (bool). + ``'saveInterval'`` (int) and ``'saveEdge'`` (bool). default_save_interval : int Save interval to use when ``value`` is ``True``. @@ -1441,15 +1440,21 @@ def _parse_writer_config(value, default_save_interval=1): if value is True: return WriterConfig(save_interval=default_save_interval) if isinstance(value, dict): + allowed = {'saveInterval', 'saveEdge'} + unknown = set(value) - allowed + if unknown: + raise InputError( + f"Writer config has unknown key(s) {sorted(unknown)!r}. " + f"Allowed keys are: {sorted(allowed)!r}." + ) si = value.get('saveInterval', default_save_interval) return WriterConfig( save_interval=si, - verbose_comments=value.get('verboseComments', None), save_edge=value.get('saveEdge', None), ) raise InputError( f"Writer config must be True, False, or a dict with keys " - f"'saveInterval', 'verboseComments', 'saveEdge'; got {type(value).__name__!r}" + f"'saveInterval', 'saveEdge'; got {type(value).__name__!r}" ) @@ -1460,12 +1465,10 @@ def _writer_config_to_input(cfg): """ if cfg is None or not cfg.enabled: return False - has_overrides = (cfg.verbose_comments is not None or cfg.save_edge is not None) + has_overrides = (cfg.save_edge is not None) if cfg.save_interval == 1 and not has_overrides: return True parts = [f"'saveInterval': {cfg.save_interval}"] - if cfg.verbose_comments is not None: - parts.append(f"'verboseComments': {cfg.verbose_comments}") if cfg.save_edge is not None: parts.append(f"'saveEdge': {cfg.save_edge}") return '{' + ', '.join(parts) + '}' diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 5e41cca6313..9ea325bf5ef 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1305,7 +1305,11 @@ def execute(self, initialize=True, **kwargs): self.run_model_analysis() - # generate Cantera files chem.yaml & chem_annotated.yaml in designated Cantera output folders + # generate Cantera files in designated Cantera output folders. The direct + # writers (cantera1/, cantera2/) already wrote chem_annotated{NNNN}.yaml + + # chem_annotated.yaml each iteration. End-of-run we also produce the + # notes-stripped chem.yaml (and chem_edge.yaml when present), mirroring + # Chemkin's chem.inp / chem_annotated.inp split, and run the comparison. try: translated_cantera_file = None if self.chemkin_writer_config and self.chemkin_writer_config.enabled: @@ -1359,15 +1363,64 @@ def execute(self, initialize=True, **kwargs): if os.path.exists(annotated): self.generate_cantera_files_from_chemkin(annotated) - # Strip transport notes from the non-annotated ck2yaml file to match the non-verbose RMG writers + def _strip_yaml_notes(src, dst): + """Read a YAML file, strip ``note:`` fields, and write the + result to *dst*. Preserves formatting (block style, key + ordering, etc.) — important when the source is the carefully + crafted ck2yaml output. + + Three patterns are handled (notes are always the last key, by + how RMG / ck2yaml emit them): + 1. Block-style: `` note: ...`` on its own line, + possibly followed by deeper-indented continuation lines + (multi-line literal/folded scalars). + 2. Single-line flow: ``{..., note: foo}`` → ``{...}`` + 3. Wrapped flow: a flow mapping that wraps with the + trailing ``,`` at the end of one line and + `` note: foo}`` on the next → drop the comma and + replace with ``}`` on the prior line. + """ + if not os.path.exists(src): + return + with open(src) as f: + text = f.read() + # Wrapped flow style: a flow mapping that wraps after a + # trailing ``,``, with ``note: value`` on the next line + # (value may itself wrap across several more-indented lines) + # ending in ``}``. Replace the whole tail with ``}``. + text = re.sub( + r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', + '}', text) + # Single-line flow style: ``, note: value}`` → ``}``. + text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) + # Block style: `` note: ...\n`` plus deeper-indented + # continuation lines. + text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE) + with open(dst, "w") as f: + f.write(text) + + # Strip transport notes from the ck2yaml file so it matches the + # notes-stripped variants below. ck_chem_yaml = os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml") - if os.path.exists(ck_chem_yaml): - with open(ck_chem_yaml) as f: - ck_text = f.read() - # Remove 'note:' lines and their indented continuations (multi-line values are more-indented) - ck_text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', ck_text, flags=re.MULTILINE) - with open(ck_chem_yaml, "w") as f: - f.write(ck_text) + _strip_yaml_notes(ck_chem_yaml, ck_chem_yaml) + + # Produce notes-stripped chem.yaml / chem_edge.yaml end-of-run for + # each direct Cantera writer (mirrors Chemkin's chem.inp). + for writer_dir, writer_cfg in ( + ("cantera1", self.cantera1_writer_config), + ("cantera2", self.cantera2_writer_config), + ): + if not (writer_cfg and writer_cfg.enabled): + continue + writer_path = os.path.join(self.output_directory, writer_dir) + _strip_yaml_notes( + os.path.join(writer_path, "chem_annotated.yaml"), + os.path.join(writer_path, "chem.yaml"), + ) + _strip_yaml_notes( + os.path.join(writer_path, "chem_edge_annotated.yaml"), + os.path.join(writer_path, "chem_edge.yaml"), + ) # Compare translated Cantera files against directly generated Cantera files if translated_cantera_file and self.cantera1_writer_config and self.cantera1_writer_config.enabled: diff --git a/rmgpy/rmg/settings.py b/rmgpy/rmg/settings.py index efe4ca8625a..20ed5a9e3f1 100644 --- a/rmgpy/rmg/settings.py +++ b/rmgpy/rmg/settings.py @@ -151,17 +151,13 @@ class WriterConfig: How often to write output. Positive N = every N iterations (0-indexed iteration numbers, so iteration 0 is always included). -1 = end of run only. 0 = disabled entirely. - verbose_comments : bool or None - Per-writer override for verbose comments. None means fall back to the - global ``rmg.verbose_comments``. save_edge : bool or None Per-writer override for saving edge species. None means fall back to the global ``rmg.save_edge_species``. """ - def __init__(self, save_interval=1, verbose_comments=None, save_edge=None): + def __init__(self, save_interval=1, save_edge=None): self.save_interval = save_interval - self.verbose_comments = verbose_comments self.save_edge = save_edge self._last_write = -1 diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index ca11e626888..129bc3125e9 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -117,12 +117,12 @@ def write_cantera( solvent=None, solvent_data=None, path="chem.yml", - verbose=False, ): """ Writes yaml file depending on the type of system (gas-phase, catalysis). Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info. - If verbose=True, species and reaction notes (SMILES, source, kinetics comment) are included. + Species and reaction notes (SMILES, source, kinetics comment) are always included; how detailed + each underlying kinetics/thermo comment is, is governed by the global ``verboseComments`` option. elements_in_use is a set of :class:`Element` singletons. Only those elements are listed in the YAML 'elements' block and 'phases.elements' lines. @@ -148,14 +148,14 @@ def write_cantera( for spc in spcs if spc.contains_surface_site() ) result_dict = get_mech_dict_surface( - spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose + spcs, rxns, solvent=solvent, solvent_data=solvent_data ) phases_block = get_phases_with_surface( spcs, surface_site_density, elements_line, has_coverage_dependence=has_coverage_dependence ) else: result_dict = get_mech_dict_nonsurface( - spcs, rxns, solvent=solvent, solvent_data=solvent_data, verbose=verbose + spcs, rxns, solvent=solvent, solvent_data=solvent_data ) phases_block = get_phases_gas_only(spcs, elements_line) @@ -306,35 +306,33 @@ def get_phases_with_surface(spcs, surface_site_density, elements_line, has_cover return phases_block -def _collect_reactions(rxn_list, spcs, verbose, chemkin_counter): +def _collect_reactions(rxn_list, spcs, chemkin_counter): """ Convert a list of RMG reactions to a list of YAML reaction dicts, prepending a 'Reaction index: Chemkin #N; RMG #M' line to the note of - each entry (in verbose mode). chemkin_counter is a single-element list - used as a mutable counter so calls across multiple reaction blocks - (e.g. gas + site0 in surface mechanisms) share a continuous Chemkin - numbering, matching the global counter in the Chemkin writer. For - MultiArrhenius/MultiPDepArrhenius reactions, which expand into several - YAML entries, each sub-entry gets its own Chemkin number but shares - the parent RMG index. + each entry. chemkin_counter is a single-element list used as a mutable + counter so calls across multiple reaction blocks (e.g. gas + site0 in + surface mechanisms) share a continuous Chemkin numbering, matching the + global counter in the Chemkin writer. For MultiArrhenius/MultiPDepArrhenius + reactions, which expand into several YAML entries, each sub-entry gets + its own Chemkin number but shares the parent RMG index. """ entries = [] for rmg_rxn in rxn_list: - rxn_entries = reaction_to_dicts(rmg_rxn, spcs, verbose=verbose) + rxn_entries = reaction_to_dicts(rmg_rxn, spcs) for entry in rxn_entries: chemkin_counter[0] += 1 - if verbose: - index_line = ( - f"Reaction index: Chemkin #{chemkin_counter[0]}; " - f"RMG #{rmg_rxn.index}" - ) - existing = entry.get("note", "") - entry["note"] = index_line + "\n" + existing if existing else index_line + "\n" + index_line = ( + f"Reaction index: Chemkin #{chemkin_counter[0]}; " + f"RMG #{rmg_rxn.index}" + ) + existing = entry.get("note", "") + entry["note"] = index_line + "\n" + existing if existing else index_line + "\n" entries.extend(rxn_entries) return entries -def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None, verbose=False): +def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None): """ For systems with surface species/reactions. Adds 'species', 'gas-reactions', and 'site0-reactions' to result_dict. @@ -353,17 +351,17 @@ def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None, verb names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x, all_species=spcs, verbose=verbose) for x in spcs] + result_dict["species"] = [species_to_dict(x, all_species=spcs) for x in spcs] # separate gas and surface reactions chemkin_counter = [0] - result_dict["gas-reactions"] = _collect_reactions(gas_rxns, spcs, verbose, chemkin_counter) - result_dict["site0-reactions"] = _collect_reactions(surface_rxns, spcs, verbose, chemkin_counter) + result_dict["gas-reactions"] = _collect_reactions(gas_rxns, spcs, chemkin_counter) + result_dict["site0-reactions"] = _collect_reactions(surface_rxns, spcs, chemkin_counter) return result_dict -def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None, verbose=False): +def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None): """ For gas-phase systems. Adds 'species' and 'reactions' to result_dict. @@ -374,10 +372,10 @@ def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None, v names[i] += "-" + str(names.count(name)) result_dict = dict() - result_dict["species"] = [species_to_dict(x, verbose=verbose) for x in spcs] + result_dict["species"] = [species_to_dict(x) for x in spcs] chemkin_counter = [0] - result_dict["reactions"] = _collect_reactions(rxns, spcs, verbose, chemkin_counter) + result_dict["reactions"] = _collect_reactions(rxns, spcs, chemkin_counter) return result_dict @@ -409,12 +407,12 @@ def _build_equation_string(obj): return reactants + suffix + arrow + products + suffix -def reaction_to_dicts(obj, spcs, verbose=False): +def reaction_to_dicts(obj, spcs): """ Takes an RMG reaction object (obj), returns a list of dictionaries for YAML properties. For most reaction objects the list will be of length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer. - If verbose=True, a 'note' field is added with source and kinetics comment. + A 'note' field is always added with source and kinetics comment. """ reaction_list = [] @@ -465,34 +463,33 @@ def reaction_to_dicts(obj, spcs, verbose=False): # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) - if verbose: - note_lines = [] - if isinstance(obj, TemplateReaction): - note_lines.append(f"Template reaction: {obj.family}") - elif isinstance(obj, LibraryReaction): - note_lines.append(f"Library reaction: {obj.library}") - elif isinstance(obj, PDepReaction): - note_lines.append(f"PDep reaction: {obj.network}") - if obj.specific_collider is not None: - note_lines.append(f"Specific third body collider: {obj.specific_collider.label}") - if getattr(obj, "pairs", None): - pair_str = "Flux pairs: " + "; ".join( - f"{get_species_identifier(p[0])}, {get_species_identifier(p[1])}" - for p in obj.pairs - ) - note_lines.append(pair_str) - if obj.kinetics.comment: - for line in obj.kinetics.comment.strip("\n").split("\n"): - note_lines.append(line.rstrip()) - if note_lines: - reaction_data["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" + note_lines = [] + if isinstance(obj, TemplateReaction): + note_lines.append(f"Template reaction: {obj.family}") + elif isinstance(obj, LibraryReaction): + note_lines.append(f"Library reaction: {obj.library}") + elif isinstance(obj, PDepReaction): + note_lines.append(f"PDep reaction: {obj.network}") + if obj.specific_collider is not None: + note_lines.append(f"Specific third body collider: {obj.specific_collider.label}") + if getattr(obj, "pairs", None): + pair_str = "Flux pairs: " + "; ".join( + f"{get_species_identifier(p[0])}, {get_species_identifier(p[1])}" + for p in obj.pairs + ) + note_lines.append(pair_str) + if obj.kinetics.comment: + for line in obj.kinetics.comment.strip("\n").split("\n"): + note_lines.append(line.rstrip()) + if note_lines: + reaction_data["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" reaction_list.append(reaction_data) return reaction_list -def species_to_dict(species, all_species=None, verbose=False): +def species_to_dict(species, all_species=None): """ Takes an RMG species object, returns a dictionary of YAML properties. Also adds in the number of surface sites ('sites') to the dictionary. @@ -500,7 +497,7 @@ def species_to_dict(species, all_species=None, verbose=False): all_species: if provided, coverage-dependent thermo is resolved and attached to the Cantera species object before serialisation, so it appears in the returned dict automatically. - If verbose=True, species SMILES and thermo/transport comments are included. + Species SMILES and thermo/transport comments are always included. """ if not isinstance(species, Species): raise TypeError("species object must be an RMG Species") @@ -508,13 +505,12 @@ def species_to_dict(species, all_species=None, verbose=False): cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species) species_data = cantera_species.input_data - if verbose: - try: - transport_comment = species.transport_data.comment - if transport_comment: - species_data["transport"]["note"] = transport_comment - except AttributeError: - pass + try: + transport_comment = species.transport_data.comment + if transport_comment: + species_data["transport"]["note"] = transport_comment + except AttributeError: + pass if "size" in species_data: sites = species_data["size"] @@ -524,18 +520,17 @@ def species_to_dict(species, all_species=None, verbose=False): # Convert any AnyMap objects to regular dicts before returning species_data = _convert_anymap_to_dict(species_data) - if verbose: - try: - smiles = species.to_smiles() - if smiles: - species_data["note"] = smiles - except Exception: - pass - if species.thermo and species.thermo.comment: - clean_comment = species.thermo.comment.replace('\n', '; ').strip() - if clean_comment: - if "thermo" in species_data and isinstance(species_data["thermo"], dict): - species_data["thermo"]["note"] = clean_comment + try: + smiles = species.to_smiles() + if smiles: + species_data["note"] = smiles + except Exception: + pass + if species.thermo and species.thermo.comment: + clean_comment = species.thermo.comment.replace('\n', '; ').strip() + if clean_comment: + if "thermo" in species_data and isinstance(species_data["thermo"], dict): + species_data["thermo"]["note"] = clean_comment # returns composition, name, thermo, and transport, and note return species_data @@ -575,13 +570,12 @@ def update(self, rmg): if self.config is not None and not self.config.should_write( rmg.reaction_model.iteration_num, rmg.is_final_save): return - verbose = self.config.verbose_comments if (self.config and self.config.verbose_comments is not None) else rmg.verbose_comments save_edge = self.config.save_edge if (self.config and self.config.save_edge is not None) else rmg.save_edge_species num_species = len(rmg.reaction_model.core.species) this_output_path = os.path.join(self.output_subdirectory, - f"chem{num_species:04d}.yaml") - latest_output_path = os.path.join(self.output_subdirectory, 'chem.yaml') + f"chem_annotated{num_species:04d}.yaml") + latest_output_path = os.path.join(self.output_subdirectory, 'chem_annotated.yaml') logging.info(f"Saving current model core to Cantera file: {this_output_path}") @@ -606,20 +600,6 @@ def update(self, rmg): ) shutil.copy2(this_output_path, latest_output_path) - if verbose: - annotated_path = os.path.join(self.output_subdirectory, 'chem_annotated.yaml') - logging.info(f"Saving annotated Cantera file: {annotated_path}") - write_cantera( - rmg.reaction_model.core.species, - rmg.reaction_model.core.reactions, - elements_in_use=core_elements, - surface_site_density=surface_site_density, - solvent=rmg.solvent, - solvent_data=solvent_data, - path=annotated_path, - verbose=True, - ) - if save_edge: from rmgpy.rmg.model import ReactionModel logging.info('Saving current model core and edge to Cantera file...') @@ -628,8 +608,8 @@ def update(self, rmg): edge_elements = ReactionModel(species=edge_species, reactions=edge_reactions).get_elements() this_edge_path = os.path.join(self.output_subdirectory, - f"chem_edge{num_species:04d}.yaml") - latest_edge_path = os.path.join(self.output_subdirectory, 'chem_edge.yaml') + f"chem_edge_annotated{num_species:04d}.yaml") + latest_edge_path = os.path.join(self.output_subdirectory, 'chem_edge_annotated.yaml') write_cantera( edge_species, @@ -641,18 +621,3 @@ def update(self, rmg): path=this_edge_path, ) shutil.copy2(this_edge_path, latest_edge_path) - - if verbose: - annotated_edge_path = os.path.join(self.output_subdirectory, - 'chem_edge_annotated.yaml') - logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") - write_cantera( - edge_species, - edge_reactions, - elements_in_use=edge_elements, - surface_site_density=surface_site_density, - solvent=rmg.solvent, - solvent_data=solvent_data, - path=annotated_edge_path, - verbose=True, - ) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index a0ad2a9d3fe..af8655714fb 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -114,12 +114,14 @@ def save_cantera_files(rmg, config=None): """ Save the current reaction model to a set of Cantera YAML files. - Creates: - 1. chem{N}.yaml (where N is num species) - 2. chem.yaml (latest copy) - 3. chem_annotated.yaml (if verbose_comments is True) + Each iteration writes: + 1. chem_annotated{N}.yaml (snapshot for this iteration, where N = num core species) + 2. chem_annotated.yaml (latest copy) + 3. chem_edge_annotated{N}.yaml / chem_edge_annotated.yaml if saveEdge is set + + The notes-stripped variants (chem.yaml / chem_edge.yaml) are produced + once at end-of-run by rmgpy/rmg/main.py. """ - verbose = config.verbose_comments if (config and config.verbose_comments is not None) else rmg.verbose_comments save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species # Ensure subdirectory exists @@ -139,27 +141,18 @@ def save_cantera_files(rmg, config=None): # Define paths this_cantera_path = os.path.join(cantera_dir, - 'chem{0:04d}.yaml'.format(num_species)) - latest_cantera_path = os.path.join(cantera_dir, 'chem.yaml') + 'chem_annotated{0:04d}.yaml'.format(num_species)) + latest_cantera_path = os.path.join(cantera_dir, 'chem_annotated.yaml') logging.info(f"Saving current model core to Cantera file: {this_cantera_path}") - # Write the YAML file (non-verbose) - save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density, - verbose=False) + save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density) - # Copy to 'chem.yaml' (The latest file) + # Copy to 'chem_annotated.yaml' (the latest file) if os.path.exists(latest_cantera_path): os.unlink(latest_cantera_path) shutil.copy2(this_cantera_path, latest_cantera_path) - # Write annotated file if verbose_comments is requested - if verbose: - annotated_path = os.path.join(cantera_dir, 'chem_annotated.yaml') - logging.info(f"Saving annotated Cantera file: {annotated_path}") - save_cantera_model(rmg.reaction_model.core, annotated_path, site_density=site_density, - verbose=True) - # ------------------------------------------------------------------------- # 2. Save Edge Model (Optional, matching ChemkinWriter logic) # ------------------------------------------------------------------------- @@ -168,34 +161,28 @@ def save_cantera_files(rmg, config=None): logging.info('Saving current model core and edge to Cantera file...') this_edge_path = os.path.join(cantera_dir, - 'chem_edge{0:04d}.yaml'.format(num_species)) - latest_edge_path = os.path.join(cantera_dir, 'chem_edge.yaml') + 'chem_edge_annotated{0:04d}.yaml'.format(num_species)) + latest_edge_path = os.path.join(cantera_dir, 'chem_edge_annotated.yaml') edge_model = ReactionModel( species=rmg.reaction_model.core.species + rmg.reaction_model.edge.species, reactions=rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions, ) - save_cantera_model(edge_model, this_edge_path, site_density=site_density, verbose=False) + save_cantera_model(edge_model, this_edge_path, site_density=site_density) if os.path.exists(latest_edge_path): os.unlink(latest_edge_path) shutil.copy2(this_edge_path, latest_edge_path) - if verbose: - annotated_edge_path = os.path.join(cantera_dir, 'chem_edge_annotated.yaml') - logging.info(f"Saving annotated edge Cantera file: {annotated_edge_path}") - save_cantera_model(edge_model, annotated_edge_path, site_density=site_density, - verbose=True) - -def save_cantera_model(model_container, path, site_density=None, verbose=False): +def save_cantera_model(model_container, path, site_density=None): """ Internal helper to generate the dictionary and write the YAML file. model_container must be a :class:`rmgpy.rmg.model.ReactionModel` (or duck-typed equivalent with .species, .reactions, and .get_elements()). - If verbose=True, species/reaction notes (SMILES, source, kinetics - comments) are included in the output. + Species/reaction notes (SMILES, source, kinetics comments) are always + included in the output. """ species_list = model_container.species reaction_list = model_container.reactions @@ -211,7 +198,7 @@ def save_cantera_model(model_container, path, site_density=None, verbose=False): yaml_data = generate_cantera_data(species_list, reaction_list, elements_in_use=elements_in_use, is_plasma=is_plasma, - site_density=site_density, verbose=verbose) + site_density=site_density) # Write with open(path, 'w') as f: @@ -248,11 +235,10 @@ def generate_cantera_data(species_list, elements_in_use=None, is_plasma=False, site_density=None, - verbose=False, ): """ Converts RMG objects into a dictionary structure compatible with Cantera YAML. - If verbose=True, species/reaction notes are included (SMILES, source, kinetics comments). + Species/reaction notes (SMILES, source, kinetics comments) are always included. elements_in_use is a set of :class:`Element` singletons (typically from :meth:`rmgpy.rmg.model.ReactionModel.get_elements`) used to size the @@ -362,17 +348,17 @@ def generate_cantera_data(species_list, species_data = list() for sp in species_list: - species_data.append(species_to_dict(sp, species_list, verbose=verbose)) + species_data.append(species_to_dict(sp, species_list)) data['species'] = species_data # Build separate reaction lists for each phase if there are two phases. # chemkin_counter is a single-element list used as a mutable counter so - # the Chemkin reaction numbering in verbose notes continues unbroken + # the Chemkin reaction numbering in the reaction notes continues unbroken # across the gas and surface reaction blocks, matching the global # counter in the Chemkin writer. chemkin_counter = [0] gas_reaction_data = _collect_reaction_entries(gas_reactions, species_list, - verbose, chemkin_counter) + chemkin_counter) if surface_species: data['gas-reactions'] = gas_reaction_data @@ -381,48 +367,46 @@ def generate_cantera_data(species_list, if surface_reactions: data['surface-reactions'] = _collect_reaction_entries( - surface_reactions, species_list, verbose, chemkin_counter) + surface_reactions, species_list, chemkin_counter) return data -def _collect_reaction_entries(rxns, species_list, verbose, chemkin_counter): +def _collect_reaction_entries(rxns, species_list, chemkin_counter): """ Convert RMG reactions to YAML reaction dicts, prepending a 'Reaction - index: Chemkin #N; RMG #M' line to each note (in verbose mode). For + index: Chemkin #N; RMG #M' line to each note. For MultiArrhenius/MultiPDepArrhenius reactions, which expand into several YAML entries, each sub-entry gets its own Chemkin number but shares the parent RMG index. """ entries = [] for rxn in rxns: - rxn_entries = reaction_to_dict_list(rxn, species_list, verbose=verbose) + rxn_entries = reaction_to_dict_list(rxn, species_list) for entry in rxn_entries: chemkin_counter[0] += 1 - if verbose: - index_line = ( - f"Reaction index: Chemkin #{chemkin_counter[0]}; " - f"RMG #{rxn.index}" - ) - existing = entry.get("note", "") - entry["note"] = ( - index_line + "\n" + existing if existing else index_line + "\n" - ) + index_line = ( + f"Reaction index: Chemkin #{chemkin_counter[0]}; " + f"RMG #{rxn.index}" + ) + existing = entry.get("note", "") + entry["note"] = ( + index_line + "\n" + existing if existing else index_line + "\n" + ) entries.extend(rxn_entries) return entries -def species_to_dict(species, species_list, verbose=False): +def species_to_dict(species, species_list): """Convert an RMG Species object to a Cantera YAML dictionary. - If verbose=True, species notes (SMILES, thermo/transport comments) are included. + Species notes (SMILES, thermo/transport comments) are always included. """ notes = list() - if verbose: - try: - notes.append(species.to_smiles()) - except: - pass + try: + notes.append(species.to_smiles()) + except: + pass # Composition mol = species.molecule[0] @@ -485,11 +469,11 @@ def species_to_dict(species, species_list, verbose=False): transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3 if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0: transport_dict['rotational-relaxation'] = td.rotrelaxcollnum - if verbose and td.comment: + if td.comment: transport_dict['note'] = td.comment.strip() species_entry['transport'] = transport_dict - if verbose and species.thermo and species.thermo.comment: + if species.thermo and species.thermo.comment: clean_comment = species.thermo.comment.replace('\n', '; ').strip() species_entry['thermo']['note'] = clean_comment @@ -520,10 +504,10 @@ def species_to_dict(species, species_list, verbose=False): return species_entry -def reaction_to_dict_list(reaction, species_list=None, verbose=False): +def reaction_to_dict_list(reaction, species_list=None): """ Convert an RMG Reaction object to a LIST of Cantera YAML dictionaries. - If verbose=True, a 'note' field is added with source and kinetics comment. + A 'note' field is always added with source and kinetics comment. """ # Check for MultiKinetics (duplicates grouped in one RMG object) if isinstance(reaction.kinetics, (MultiArrhenius, MultiPDepArrhenius)): @@ -538,7 +522,7 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): kinetics=sub_kin, duplicate=True ) - sub_result = reaction_to_dict_list(sub_rxn, species_list, verbose=verbose) + sub_result = reaction_to_dict_list(sub_rxn, species_list) if sub_result: entries.extend(sub_result) return entries @@ -657,34 +641,33 @@ def reaction_to_dict_list(reaction, species_list=None, verbose=False): if cov_deps: entry['coverage-dependencies'] = cov_deps - # --- Metadata / Notes (only when verbose) --- - if verbose: - note_lines = list() - if isinstance(reaction, TemplateReaction): - note_lines.append(f"Template reaction: {reaction.family}") - elif isinstance(reaction, LibraryReaction): - note_lines.append(f"Library reaction: {reaction.library}") - elif isinstance(reaction, PDepReaction): - note_lines.append(f"PDep reaction: {reaction.network}") - - if reaction.specific_collider: - note_lines.append( - f"Specific third body collider: {reaction.specific_collider.label}" - ) + # --- Metadata / Notes --- + note_lines = list() + if isinstance(reaction, TemplateReaction): + note_lines.append(f"Template reaction: {reaction.family}") + elif isinstance(reaction, LibraryReaction): + note_lines.append(f"Library reaction: {reaction.library}") + elif isinstance(reaction, PDepReaction): + note_lines.append(f"PDep reaction: {reaction.network}") + + if reaction.specific_collider: + note_lines.append( + f"Specific third body collider: {reaction.specific_collider.label}" + ) - if getattr(reaction, "pairs", None): - pair_str = "Flux pairs: " + "; ".join( - f"{get_label(p[0], species_list)}, {get_label(p[1], species_list)}" - for p in reaction.pairs - ) - note_lines.append(pair_str) + if getattr(reaction, "pairs", None): + pair_str = "Flux pairs: " + "; ".join( + f"{get_label(p[0], species_list)}, {get_label(p[1], species_list)}" + for p in reaction.pairs + ) + note_lines.append(pair_str) - if hasattr(kin, "comment") and kin.comment: - for line in kin.comment.strip("\n").split("\n"): - note_lines.append(line.rstrip()) + if hasattr(kin, "comment") and kin.comment: + for line in kin.comment.strip("\n").split("\n"): + note_lines.append(line.rstrip()) - if note_lines: - entry["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" + if note_lines: + entry["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n" return [entry] diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py index b0fe108b675..1daf399cb23 100644 --- a/test/rmgpy/rmg/inputTest.py +++ b/test/rmgpy/rmg/inputTest.py @@ -554,7 +554,6 @@ def test_parse_true_enables_default_interval(self): cfg = _parse_writer_config(True) assert cfg.enabled assert cfg.save_interval == 1 - assert cfg.verbose_comments is None assert cfg.save_edge is None def test_parse_true_custom_default_interval(self): @@ -562,16 +561,14 @@ def test_parse_true_custom_default_interval(self): assert cfg.save_interval == 5 def test_parse_dict_full(self): - cfg = _parse_writer_config({'saveInterval': -1, 'verboseComments': True, 'saveEdge': False}) + cfg = _parse_writer_config({'saveInterval': -1, 'saveEdge': False}) assert cfg.enabled assert cfg.save_interval == -1 - assert cfg.verbose_comments is True assert cfg.save_edge is False def test_parse_dict_partial(self): cfg = _parse_writer_config({'saveInterval': 3}) assert cfg.save_interval == 3 - assert cfg.verbose_comments is None assert cfg.save_edge is None def test_parse_invalid_raises(self): @@ -624,10 +621,9 @@ def test_writer_config_to_input_true(self): assert _writer_config_to_input(cfg) is True def test_writer_config_to_input_dict(self): - cfg = WriterConfig(save_interval=-1, verbose_comments=True, save_edge=False) + cfg = WriterConfig(save_interval=-1, save_edge=False) result = _writer_config_to_input(cfg) assert "'saveInterval': -1" in result - assert "'verboseComments': True" in result assert "'saveEdge': False" in result def test_writer_config_to_input_none(self): diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 467e5a008b4..5fc484a92fe 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -471,13 +471,11 @@ def test_species_to_dict_gas_no_sites_field(self): d = species_to_dict(self.h2) assert 'sites' not in d - def test_species_to_dict_transport_note_gated_by_verbose(self): - """Transport 'note' is only written when verbose=True.""" + def test_species_to_dict_transport_note_always_present(self): + """Transport 'note' is always written when transport_data.comment is set.""" self.h2.transport_data.comment = "from GRI-Mech" - d = species_to_dict(self.h2, verbose=False) - assert 'note' not in d.get('transport', {}) - d_verbose = species_to_dict(self.h2, verbose=True) - assert d_verbose['transport']['note'] == "from GRI-Mech" + d = species_to_dict(self.h2) + assert d['transport']['note'] == "from GRI-Mech" class TestCanteraWriter1: diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 82e5b8fc5d4..6acd0a01c22 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -252,8 +252,8 @@ def __init__(self, out_dir): mock_rmg = MockRMG(self.tmp_dir) save_cantera_files(mock_rmg) - yaml_file = os.path.join(self.tmp_dir, "cantera2", "chem.yaml") - versioned_file = os.path.join(self.tmp_dir, "cantera2", "chem0005.yaml") + yaml_file = os.path.join(self.tmp_dir, "cantera2", "chem_annotated.yaml") + versioned_file = os.path.join(self.tmp_dir, "cantera2", "chem_annotated0005.yaml") assert os.path.exists(yaml_file) assert os.path.exists(versioned_file) @@ -361,8 +361,8 @@ def test_cantera_writer_class_listener(self): mock_rmg = self._create_dummy_model() writer.update(mock_rmg) - versioned_file = os.path.join(cantera_dir, 'chem0002.yaml') - latest_file = os.path.join(cantera_dir, 'chem.yaml') + versioned_file = os.path.join(cantera_dir, 'chem_annotated0002.yaml') + latest_file = os.path.join(cantera_dir, 'chem_annotated.yaml') assert os.path.exists(versioned_file) assert os.path.exists(latest_file) @@ -669,14 +669,12 @@ def test_species_to_dict_gas_no_sites_field(self): d = species_to_dict(h2, [h2]) assert 'sites' not in d - def test_species_to_dict_transport_note_gated_by_verbose(self): - """Transport 'note' is only written when verbose=True.""" + def test_species_to_dict_transport_note_always_present(self): + """Transport 'note' is always written when transport_data.comment is set.""" sp = self._create_dummy_species("H2", "[H][H]", index=1) sp.transport_data.comment = "from GRI-Mech" - d = species_to_dict(sp, [sp], verbose=False) - assert 'note' not in d['transport'] - d_verbose = species_to_dict(sp, [sp], verbose=True) - assert d_verbose['transport']['note'] == "from GRI-Mech" + d = species_to_dict(sp, [sp]) + assert d['transport']['note'] == "from GRI-Mech" class CanteraYamlFileComparer: From 9880bb76fad71274ea7c33b86168a3c6db14eb20 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 22:16:14 -0400 Subject: [PATCH 593/700] Remove efficiencies dict from yaml if it's empty --- rmgpy/yaml_cantera2.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index af8655714fb..2f5c9c9845b 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -625,6 +625,10 @@ def reaction_to_dict_list(reaction, species_list=None): else: logging.warning(f"Skipping reaction {equation}: Unknown kinetics type {type(kin)}") return [] + + # Remove efficiencies dict if present but empty. + if 'efficiencies' in entry and not entry['efficiencies']: + del entry['efficiencies'] # --- Coverage Dependencies --- if hasattr(kin, 'coverage_dependence') and kin.coverage_dependence: From b6890edf39ad6dbd048852e152f2e4ec8a2d928d Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 22:17:28 -0400 Subject: [PATCH 594/700] Harden wrapped-flow note stripping in YAML cleanup MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Replace the wrapped-flow note removal regex in _strip_yaml_notes with a deterministic line-scanning helper to avoid backtracking-heavy matching behavior. Motivation: The previous pattern for wrapped flow mappings could trigger pathological regex runtime in Python’s backtracking engine. Even though these YAML files are generated by our own pipeline (so practical exploitability is low), removing algorithmic worst-case behavior improves robustness and prevents unexpected slowdowns from unusual generated content. What changed: Added _strip_wrapped_flow_notes(value), a single-pass parser that recognizes: a line ending with a trailing comma, followed by an indented note: line, followed by indented continuation lines up to a closing brace. Rewrites that wrapped tail to a single closing brace in the same way as the prior regex replacement. Replaced only the wrapped-flow regex call with the helper. Kept existing single-line flow and block-style note stripping logic unchanged. Why this is safe: Output semantics for intended wrapped-flow cases are preserved. The change is narrowly scoped to one transformation path. Runtime is linear in input size for this case, eliminating regex backtracking concerns while retaining formatting-preserving behavior. co-authored by: GPT-5.3-Codex should address concerns of the automated static analysis code scanning https://github.com/ReactionMechanismGenerator/RMG-Py/security/code-scanning/1097 --- rmgpy/rmg/main.py | 50 ++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 47 insertions(+), 3 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 9ea325bf5ef..b7072d91b2c 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1384,13 +1384,57 @@ def _strip_yaml_notes(src, dst): return with open(src) as f: text = f.read() + + def _strip_wrapped_flow_notes(value): + """Remove wrapped flow ``note:`` tails without regex backtracking. + + Matches this shape in a single pass: + ``...,\n note: ...\n ...}`` + and rewrites it as ``...}``. + """ + lines = value.splitlines(keepends=True) + output = [] + i = 0 + + while i < len(lines): + line = lines[i] + stripped = line.rstrip("\r\n") + if not stripped.endswith(",") or i + 1 >= len(lines): + output.append(line) + i += 1 + continue + + next_line = lines[i + 1] + if not re.match(r'[ \t]+note:', next_line): + output.append(line) + i += 1 + continue + + j = i + 1 + found_closing_brace = False + while j < len(lines) and re.match(r'[ \t]+', lines[j]): + if '}' in lines[j]: + found_closing_brace = True + break + j += 1 + + if found_closing_brace: + closing_line = lines[j] + closing_suffix = closing_line[closing_line.find('}') + 1 :] + output.append(stripped[:-1] + '}' + closing_suffix) + i = j + 1 + continue + + output.append(line) + i += 1 + + return ''.join(output) + # Wrapped flow style: a flow mapping that wraps after a # trailing ``,``, with ``note: value`` on the next line # (value may itself wrap across several more-indented lines) # ending in ``}``. Replace the whole tail with ``}``. - text = re.sub( - r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', - '}', text) + text = _strip_wrapped_flow_notes(text) # Single-line flow style: ``, note: value}`` → ``}``. text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) # Block style: `` note: ...\n`` plus deeper-indented From 928b4131b169b1e984c6444fb4c7ff8b43e29a8e Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 22:22:47 -0400 Subject: [PATCH 595/700] Revert "Harden wrapped-flow note stripping in YAML cleanup" This reverts commit d09c8d9df1a4ff336b2516198ce748db0df0b5b4. On review, the regex CodeQL flagged (alert #1097) is not actually exposed to catastrophic backtracking: - [^\n}]* and \n[ \t]+ consume disjoint characters, so alternative match paths don't overlap. - Each iteration of (?:\n[ \t]+[^\n}]*)* consumes at least two characters, capping iterations at N/2. - Worst-case runtime is O(N^2), not exponential, and the inputs are YAML files generated by our own writer pipeline (a few MB at most). The replacement helper traded one line of regex for ~40 lines of imperative, triple-nested code, and introduced subtle behavioral drift (stricter handling of trailing whitespace before the newline, looser handling of '}' inside continuation values). Not worth it for a static-analysis false positive on RMG-generated input. The next commit restores the regex and suppresses the CodeQL alert with a comment explaining why the pattern is safe in this context. Co-Authored-By: Claude Opus 4.7 (1M context) who doesn't like what GPT-5.3-Codex did :-D --- rmgpy/rmg/main.py | 50 +++-------------------------------------------- 1 file changed, 3 insertions(+), 47 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index b7072d91b2c..9ea325bf5ef 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1384,57 +1384,13 @@ def _strip_yaml_notes(src, dst): return with open(src) as f: text = f.read() - - def _strip_wrapped_flow_notes(value): - """Remove wrapped flow ``note:`` tails without regex backtracking. - - Matches this shape in a single pass: - ``...,\n note: ...\n ...}`` - and rewrites it as ``...}``. - """ - lines = value.splitlines(keepends=True) - output = [] - i = 0 - - while i < len(lines): - line = lines[i] - stripped = line.rstrip("\r\n") - if not stripped.endswith(",") or i + 1 >= len(lines): - output.append(line) - i += 1 - continue - - next_line = lines[i + 1] - if not re.match(r'[ \t]+note:', next_line): - output.append(line) - i += 1 - continue - - j = i + 1 - found_closing_brace = False - while j < len(lines) and re.match(r'[ \t]+', lines[j]): - if '}' in lines[j]: - found_closing_brace = True - break - j += 1 - - if found_closing_brace: - closing_line = lines[j] - closing_suffix = closing_line[closing_line.find('}') + 1 :] - output.append(stripped[:-1] + '}' + closing_suffix) - i = j + 1 - continue - - output.append(line) - i += 1 - - return ''.join(output) - # Wrapped flow style: a flow mapping that wraps after a # trailing ``,``, with ``note: value`` on the next line # (value may itself wrap across several more-indented lines) # ending in ``}``. Replace the whole tail with ``}``. - text = _strip_wrapped_flow_notes(text) + text = re.sub( + r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', + '}', text) # Single-line flow style: ``, note: value}`` → ``}``. text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) # Block style: `` note: ...\n`` plus deeper-indented From 3468e407c2fb0d5a41211dd7998b126e6e3f054b Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 22:29:07 -0400 Subject: [PATCH 596/700] Suppress CodeQL ReDoS alert on wrapped-flow note regex Add an inline lgtm suppression and a comment explaining why the py/polynomial-redos finding (#1097) is safe in this context: the regex's worst case is O(N^2), inputs are RMG-generated YAML, and the prior attempt to rewrite it as a hand-rolled scanner (commit d09c8d9df, reverted in 651e50225) wasn't worth the added complexity. --- rmgpy/rmg/main.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 9ea325bf5ef..d1ba4146ba2 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1388,9 +1388,15 @@ def _strip_yaml_notes(src, dst): # trailing ``,``, with ``note: value`` on the next line # (value may itself wrap across several more-indented lines) # ending in ``}``. Replace the whole tail with ``}``. + # CodeQL flags this as polynomial ReDoS (py/polynomial-redos); + # safe here because [^\n}]* and \n[ \t]+ consume disjoint + # characters (no alternative-path overlap) and the inner * + # consumes >=2 chars per iteration, so worst-case is O(N^2) + # rather than exponential. Inputs are RMG-generated YAML, + # not adversarial. text = re.sub( r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', - '}', text) + '}', text) # lgtm[py/polynomial-redos] # Single-line flow style: ``, note: value}`` → ``}``. text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) # Block style: `` note: ...\n`` plus deeper-indented From cffbbcbbfce8bba6826857ffbe5021178a243bc9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 22:53:54 -0400 Subject: [PATCH 597/700] Small things from code review, in yaml_cantera writers cantera1 Avoid misleading name is_third_body cantera1 Avoid hard-coded whitelist of elements (which was missing some) cantera2 Cope if elements_in_use is not provided by caller. cantera2 Cope if there are surface species but no surface reactions cantera2 Avoid hard-coded whitelist of elements (which was missing some) --- rmgpy/yaml_cantera1.py | 11 +++++------ rmgpy/yaml_cantera2.py | 16 ++++++++++------ 2 files changed, 15 insertions(+), 12 deletions(-) diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 129bc3125e9..7ad140c66af 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -189,10 +189,9 @@ def get_elements_block(elements_in_use): in the set are emitted; isotopes (D, T, CI, OI) and the surface site X are written to the elements block only when actually used. """ - from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X - builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), - (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] - elements_list = [symbol for element, symbol in builtin_elements if element in elements_in_use] + from rmgpy.molecule.element import D, T, C13, O18, X + custom_singletons = {D, T, C13, O18, X} + elements_list = sorted(element.symbol for element in elements_in_use if element not in custom_singletons) custom_elements = [] for isotope in (D, T, C13, O18): if isotope in elements_in_use: @@ -423,7 +422,6 @@ def reaction_to_dicts(obj, spcs): else: list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)] - is_third_body = isinstance(obj.kinetics, PDepKineticsModel) rmg_equation = _build_equation_string(obj) @@ -446,6 +444,7 @@ def reaction_to_dicts(obj, spcs): reaction_data = new_data efficiencies = getattr(obj.kinetics, "efficiencies", {}) if efficiencies: + # RMG oject has efficiencies, so add them to Cantera. reaction_data["efficiencies"] = { spcs[i].to_chemkin(): float(val) for i, val in enumerate( @@ -453,7 +452,7 @@ def reaction_to_dicts(obj, spcs): ) if val != 1 } - elif not is_third_body: + elif not isinstance(obj.kinetics, PDepKineticsModel): # Cantera's API (v. 3.2) misidentifies a species that appears on both sides # of a reaction (e.g. vacantX) as a third-body collider # when there are three or more species on one side, producing a diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 2f5c9c9845b..2eb7acd80e9 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -215,11 +215,10 @@ def get_elements_lists(elements_in_use): the set. The plasma pseudo-element 'E' is added separately by the caller when ``is_plasma`` is true. """ - from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X - builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), - (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] - elements_list = [symbol for element, symbol in builtin_elements if element in elements_in_use] + from rmgpy.molecule.element import D, T, C13, O18, X + custom_singletons = {D, T, C13, O18, X} custom_elements = [] + elements_list = sorted(element.symbol for element in elements_in_use if element not in custom_singletons) for isotope in (D, T, C13, O18): if isotope in elements_in_use: mass = 1000 * isotope.mass @@ -245,8 +244,7 @@ def generate_cantera_data(species_list, 'elements' block and the per-phase elements lists. Defaults to an empty set if None. """ - if elements_in_use is None: - elements_in_use = set() + # --- 1. Header & Units --- # We output everything in SI units. try: @@ -287,6 +285,11 @@ def generate_cantera_data(species_list, gas_reactions.append(rxn) # --- 3. Phase Definitions --- + if elements_in_use is None: + # more efficient to calculate it earlier, but do so here if not provided + from rmgpy.rmg.model import ReactionModel + elements_in_use = ReactionModel(species=species_list).get_elements() + custom_elements, all_elements = get_elements_lists(elements_in_use) if custom_elements: @@ -362,6 +365,7 @@ def generate_cantera_data(species_list, if surface_species: data['gas-reactions'] = gas_reaction_data + data['surface-reactions'] = [] else: data['reactions'] = gas_reaction_data From 9cf87ac566be0dfe4bfc087c612b237257414500 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 23:19:44 -0400 Subject: [PATCH 598/700] New tests for Chemkin writing with dynamic ELEMENTS block. --- test/rmgpy/chemkinTest.py | 74 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 74 insertions(+) diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index 138943899ba..105e94d5b5a 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -46,6 +46,7 @@ save_chemkin_surface_file, save_species_dictionary, save_transport_file, + write_elements_section, write_kinetics_entry, write_thermo_entry, ) @@ -63,6 +64,14 @@ import pytest +def get_elements_section_lines(chemkin_text): + """Return the ELEMENTS block from a Chemkin file as stripped lines.""" + lines = chemkin_text.splitlines() + start = lines.index("ELEMENTS") + end = lines.index("END", start) + return lines[start : end + 1] + + class ChemkinTest: @mock.patch("rmgpy.chemkin.logging") def test_read_thermo_entry_bad_element_count(self, mock_logging): @@ -724,6 +733,41 @@ def test_write_kinetics_entry_with_coverage_dependence(self): assert "OX" in cov_line assert "-17.500" in cov_line + def test_write_elements_section_omits_unused_isotopes_and_surface_site(self): + """Only elements in use should be written to the ELEMENTS section.""" + from rmgpy.molecule.element import C, H, O + + stream = io.StringIO() + write_elements_section(stream, {C, H, O}) + + assert stream.getvalue().splitlines() == [ + "ELEMENTS", + "\tH", + "\tC", + "\tO", + "END", + "", + ] + + def test_write_elements_section_includes_used_isotopes_and_surface_site(self): + """Isotopes and X should be written when they are explicitly in use.""" + from rmgpy.molecule.element import C13, D, H, O18, T, X + + stream = io.StringIO() + write_elements_section(stream, {C13, D, H, O18, T, X}) + + assert stream.getvalue().splitlines() == [ + "ELEMENTS", + "\tH", + "\tD /2.014/", + "\tT /3.016/", + "\tCI /13.003/", + "\tOI /17.999/", + "\tX /195.083/", + "END", + "", + ] + class TestThermoReadWrite: def setup_class(self): @@ -814,6 +858,36 @@ def test_write_thermo_block_for_isotope_uses_chemkin_name(self): assert "D 1" in first_line assert "H 1" in first_line + def test_save_chemkin_file_writes_dynamic_elements_section(self, tmp_path): + """save_chemkin_file should discover isotopes and not add unused X.""" + h2 = Species().from_smiles("[H][H]") + h2.label = "H2" + h2.index = 1 + h2.thermo = self.nasa + + d = Species().from_adjacency_list("1 H u1 p0 c0 i2") + d.label = "D" + d.index = 2 + d.thermo = self.nasa + + chemkin_path = tmp_path / "chem.inp" + save_chemkin_file( + chemkin_path, + [h2, d], + [], + verbose=False, + check_for_duplicates=False, + ) + + elements_lines = get_elements_section_lines(chemkin_path.read_text()) + assert elements_lines == [ + "ELEMENTS", + "\tH", + "\tD /2.014/", + "END", + ] + assert all("X" not in line for line in elements_lines) + def test_write_thermo_block_5_elem(self): """Test that we can write a thermo block for a species with 5 elements""" species = Species().from_adjacency_list( From faf59d9bcd5766d03db841ffcf9f5d2bec0e2718 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 20 May 2026 15:01:06 -0400 Subject: [PATCH 599/700] [yaml_cantera2] handle negative A values in kinetics. --- rmgpy/yaml_cantera2.py | 10 +++++++ test/rmgpy/yaml_cantera2Test.py | 46 ++++++++++++++++++++++++++++++++- 2 files changed, 55 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 2eb7acd80e9..3bd1a019c5c 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -634,6 +634,16 @@ def reaction_to_dict_list(reaction, species_list=None): if 'efficiencies' in entry and not entry['efficiencies']: del entry['efficiencies'] + for rate_key in ( + 'rate-constant', + 'high-P-rate-constant', + 'low-P-rate-constant', + 'sticking-coefficient', + ): + if entry.get(rate_key, {}).get('A', 0) < 0: + entry['negative-A'] = True + break + # --- Coverage Dependencies --- if hasattr(kin, 'coverage_dependence') and kin.coverage_dependence: cov_deps = {} diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 6acd0a01c22..742405cfa40 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -145,6 +145,17 @@ def test_reaction_to_dict_arrhenius(self): assert np.isclose(data['rate-constant']['b'], 0.5) assert np.isclose(data['rate-constant']['Ea'], 10000.0) + def test_reaction_to_dict_negative_a_arrhenius(self): + """Negative Arrhenius A factors are marked for Cantera.""" + r = self._create_dummy_species("R", "[CH2]O", index=1) + p = self._create_dummy_species("P", "C[O]", index=2) + rxn = Reaction( + reactants=[r], products=[p], + kinetics=Arrhenius(A=(-1e10, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K")) + ) + entries = reaction_to_dict_list(rxn, species_list=[r, p]) + assert entries[0]['negative-A'] is True + def test_reaction_to_dict_duplicates(self): """Test that MultiKinetics objects result in multiple YAML entries.""" r = self._create_dummy_species("R", "[H]", index=1) @@ -348,6 +359,21 @@ def test_reaction_to_dict_lindemann(self): assert data['efficiencies'] == {"M": 5.0} assert 'Troe' not in data + def test_reaction_to_dict_negative_a_falloff(self): + """Negative high- or low-pressure A factors are marked for Cantera.""" + r = self._create_dummy_species("R", "[H]", index=1) + M = self._create_dummy_species("M", "[Ar]", index=-1) + k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + k_low = Arrhenius(A=(-1e21, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")) + lind = Lindemann( + arrheniusHigh=k_high, + arrheniusLow=k_low, + efficiencies={M.molecule[0]: 5.0}, + ) + rxn = Reaction(reactants=[r], products=[r], kinetics=lind) + entries = reaction_to_dict_list(rxn, species_list=[r, M]) + assert entries[0]['negative-A'] is True + def test_cantera_writer_class_listener(self): """ Test the CanteraWriter2 class directly to ensure it correctly initializes @@ -496,6 +522,24 @@ def test_reaction_to_dict_sticking_coefficient(self): assert np.isclose(d["sticking-coefficient"]["A"], 0.1) assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0) + def test_reaction_to_dict_negative_a_sticking_coefficient(self): + """Negative sticking-coefficient A factors are marked for Cantera.""" + h2 = self._create_dummy_species("H2", "[H][H]", index=1) + x = self._create_surface_species("X", "1 X u0 p0", index=2) + hx = self._create_surface_species( + "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3 + ) + kin = StickingCoefficient( + A=(-0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[h2, x, x], products=[hx, hx], kinetics=kin + ) + + entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx]) + + assert entries[0]["negative-A"] is True + def test_reaction_to_dict_coverage_dependence(self): """Coverage-dependent kinetics: coverage-dependencies block written correctly. @@ -846,4 +890,4 @@ def find_recent_files(self, request): pytest.skip("from_main_test.yaml files not found. Run mainTest first.") request.cls.yaml_path_1 = chemkin_file - request.cls.yaml_path_2 = cantera_file \ No newline at end of file + request.cls.yaml_path_2 = cantera_file From d5be55e304748c9e3edbe9049d80ef75e8649297 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 20 May 2026 16:00:38 -0400 Subject: [PATCH 600/700] [yaml_cantera1] handle negative A factors (also fixes to_cantera) We add handlers to the to_cantera methods to set the allow_negative_pre_exponential_factor property of the Cantera object, which Cantera then correctly passes to the input_data dictionary. We also have a safety-net in the yaml writing stage, but maybe this is unnecessary and slows us a bit. It doesn't seem to get triggered by the unit tests. --- rmgpy/kinetics/arrhenius.pyx | 10 +++++++-- rmgpy/kinetics/falloff.pyx | 15 +++++++++++-- rmgpy/kinetics/surface.pyx | 10 +++++++-- rmgpy/yaml_cantera1.py | 24 ++++++++++++++++++++ test/rmgpy/yaml_cantera1Test.py | 39 +++++++++++++++++++++++++++++++++ 5 files changed, 92 insertions(+), 6 deletions(-) diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index 69a49bde303..dff4c7133c7 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -272,7 +272,10 @@ cdef class Arrhenius(KineticsModel): if arrhenius_class: return ct.Arrhenius(A, b, E) else: - return ct.ArrheniusRate(A, b, E) + rate = ct.ArrheniusRate(A, b, E) + if A < 0: + rate.allow_negative_pre_exponential_factor = True + return rate def set_cantera_kinetics(self, ct_reaction, species_list): """ @@ -784,7 +787,10 @@ cdef class ArrheniusBM(KineticsModel): Ea = self._E0.value_si * 1000 # convert from J/mol to J/kmol w = self._w0.value_si * 1000 # convert from J/mol to J/kmol - return ct.BlowersMaselRate(A, b, Ea, w) + rate = ct.BlowersMaselRate(A, b, Ea, w) + if A < 0: + rate.allow_negative_pre_exponential_factor = True + return rate def set_cantera_kinetics(self, ct_reaction, species_list): """ diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx index bc7de3650f5..49ba56dae5e 100644 --- a/rmgpy/kinetics/falloff.pyx +++ b/rmgpy/kinetics/falloff.pyx @@ -236,7 +236,12 @@ cdef class Lindemann(PDepKineticsModel): high_rate = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) low_rate = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) - return ct.LindemannRate(low=low_rate, high=high_rate) + rate = ct.LindemannRate() + if high_rate.pre_exponential_factor < 0 or low_rate.pre_exponential_factor < 0: + rate.allow_negative_pre_exponential_factor = True + rate.high_rate = high_rate + rate.low_rate = low_rate + return rate ################################################################################ @@ -415,4 +420,10 @@ cdef class Troe(PDepKineticsModel): high = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True) low = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True) - return ct.TroeRate(high=high, low=low, falloff_coeffs=falloff) + rate = ct.TroeRate() + if high.pre_exponential_factor < 0 or low.pre_exponential_factor < 0: + rate.allow_negative_pre_exponential_factor = True + rate.high_rate = high + rate.low_rate = low + rate.falloff_coeffs = falloff + return rate diff --git a/rmgpy/kinetics/surface.pyx b/rmgpy/kinetics/surface.pyx index 7787a82e479..100faa5dda4 100644 --- a/rmgpy/kinetics/surface.pyx +++ b/rmgpy/kinetics/surface.pyx @@ -299,7 +299,10 @@ cdef class StickingCoefficient(KineticsModel): b = self._n.value_si E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol - return ct.StickingArrheniusRate(A, b, E) + rate = ct.StickingArrheniusRate(A, b, E) + if A < 0: + rate.allow_negative_pre_exponential_factor = True + return rate def set_cantera_kinetics(self, ct_reaction, species_list): @@ -654,7 +657,10 @@ cdef class SurfaceArrhenius(Arrhenius): b = self._n.value_si E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol - return ct.InterfaceArrheniusRate(A, b, E) + rate = ct.InterfaceArrheniusRate(A, b, E) + if A < 0: + rate.allow_negative_pre_exponential_factor = True + return rate def set_cantera_kinetics(self, ct_reaction, species_list): """ diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 7ad140c66af..d0c18a20261 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -459,6 +459,30 @@ def reaction_to_dicts(obj, spcs): # spurious 'efficiencies' entry in input_data. # see https://github.com/Cantera/cantera/issues/2115 reaction_data.pop("efficiencies", None) + + # This next block is hopefully unnecessary, and probably slows us a little + # so maybe should be removed. For now it is here for safety. + for rate_key in ( + "rate-constant", + "high-P-rate-constant", + "low-P-rate-constant", + "sticking-coefficient", + ): + if reaction_data.get(rate_key, {}).get("A", 0) < 0: + if not reaction_data.get("negative-A", False): + logging.warning( + "%s\n%s", + "Reaction did not have the negative-A flag set to True.", + yaml.dump( + reaction_data, + Dumper=Dumper, + default_flow_style=False, + sort_keys=False, + ).rstrip(), + ) + reaction_data["negative-A"] = True + break + # Convert any AnyMap objects to regular dicts before appending reaction_data = _convert_anymap_to_dict(reaction_data) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 5fc484a92fe..0500c1444d9 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -43,6 +43,7 @@ from rmgpy.transport import TransportData from rmgpy.kinetics import ( Arrhenius, + Lindemann, PDepArrhenius, Troe, ThirdBody, @@ -164,6 +165,13 @@ def test_reaction_to_dicts_arrhenius_equation_and_rate(self): assert np.isclose(d["rate-constant"]["b"], 0.5) assert np.isclose(d["rate-constant"]["Ea"], 10e6) # 10 kJ/mol → 1e7 J/kmol + def test_reaction_to_dicts_negative_a_arrhenius(self): + """Negative Arrhenius A factors are marked for Cantera.""" + kin = Arrhenius(A=(-1e13, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K")) + rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin) + entries = reaction_to_dicts(rxn, self.all_gas) + assert entries[0]["negative-A"] is True + def test_reaction_to_dicts_thirdbody(self): """ThirdBody: type is three-body, equation uses M, efficiencies map present.""" kin = ThirdBody( @@ -234,6 +242,24 @@ def test_reaction_to_dicts_troe(self): assert "efficiencies" in d assert np.isclose(d["efficiencies"]["Ar(3)"], 2.0) + def test_reaction_to_dicts_negative_a_falloff(self): + """Falloff rates with negative high- and low-pressure A factors are marked for Cantera.""" + kin = Lindemann( + arrheniusHigh=Arrhenius( + A=(-1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K") + ), + arrheniusLow=Arrhenius( + A=(-1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K") + ), + efficiencies={self.ar.molecule[0]: 2.0}, + ) + rxn = Reaction(reactants=[self.h], products=[self.h], kinetics=kin) + entries = reaction_to_dicts(rxn, self.all_gas) + d = entries[0] + assert d["negative-A"] is True + assert d["low-P-rate-constant"]["A"] < 0 + assert np.isclose(d["efficiencies"]["Ar(3)"], 2.0) + # ------------------------------------------------------------------ # reaction_to_dicts — surface kinetics # ------------------------------------------------------------------ @@ -271,6 +297,19 @@ def test_reaction_to_dicts_sticking_coefficient(self): assert np.isclose(d["sticking-coefficient"]["A"], 0.1) assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0) + def test_reaction_to_dicts_negative_a_sticking_coefficient(self): + """Negative sticking-coefficient A factors are marked for Cantera.""" + kin = StickingCoefficient( + A=(-0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K") + ) + rxn = Reaction( + reactants=[self.h2, self.x, self.x], + products=[self.hx, self.hx], + kinetics=kin, + ) + entries = reaction_to_dicts(rxn, self.all_surface) + assert entries[0]["negative-A"] is True + def test_reaction_to_dicts_coverage_dependence(self): """Coverage-dependent kinetics: coverage-dependencies block present with correct units. From db0862f3cbaa017f42821a0b41b9a4adf841c6f3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 20 May 2026 17:03:36 -0400 Subject: [PATCH 601/700] chemkin: print all used elements. The previous method was trying to preserve the (somewhat arbitrary) order that we previously used. But was overly complicated and fragile. eg. Phosphorous and Lithium would both have been silently forgotten. Now we just sort alphabetically, but it's simpler and won't forget things. Also, fixed so element.chemkin_name is actually the chemkin-compatible string (which must be 1 or 2 characters) like the docstring says. --- rmgpy/chemkin.pyx | 12 +++++------- test/rmgpy/chemkinTest.py | 2 +- 2 files changed, 6 insertions(+), 8 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index deca2e37a77..8c7e2355497 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2386,14 +2386,12 @@ def write_elements_section(f, elements_in_use): ``elements_in_use`` (a set of :class:`Element` singletons) are emitted. Isotopes (D, T, CI, OI) and the surface site X are written only when actually used. """ - from rmgpy.molecule.element import H, C, O, N, Ne, Ar, He, Si, S, F, Cl, Br, I, D, T, C13, O18, X - + from rmgpy.molecule.element import D, T, C13, O18, X s = 'ELEMENTS\n' - builtin_elements = [(H, 'H'), (C, 'C'), (O, 'O'), (N, 'N'), (Ne, 'Ne'), (Ar, 'Ar'), - (He, 'He'), (Si, 'Si'), (S, 'S'), (F, 'F'), (Cl, 'Cl'), (Br, 'Br'), (I, 'I')] - for element, symbol in builtin_elements: - if element in elements_in_use: - s += f'\t{symbol}\n' + custom_singletons = {D, T, C13, O18, X} + elements_list = sorted(e.chemkin_name for e in elements_in_use if e not in custom_singletons) + for element in elements_list: + s += f'\t{element}\n' for isotope in (D, T, C13, O18): if isotope in elements_in_use: mass = 1000 * isotope.mass diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index 105e94d5b5a..d2fcf77665c 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -742,8 +742,8 @@ def test_write_elements_section_omits_unused_isotopes_and_surface_site(self): assert stream.getvalue().splitlines() == [ "ELEMENTS", - "\tH", "\tC", + "\tH", "\tO", "END", "", From 598a0d4c2404105ba798dcfdd27a7f467fef6708 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 08:46:52 -0400 Subject: [PATCH 602/700] Move YAML note stripping helper to util --- rmgpy/rmg/main.py | 48 +++-------------------------------------------- rmgpy/util.py | 44 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 47 insertions(+), 45 deletions(-) diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index d1ba4146ba2..3d70b70876b 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -1363,52 +1363,10 @@ def execute(self, initialize=True, **kwargs): if os.path.exists(annotated): self.generate_cantera_files_from_chemkin(annotated) - def _strip_yaml_notes(src, dst): - """Read a YAML file, strip ``note:`` fields, and write the - result to *dst*. Preserves formatting (block style, key - ordering, etc.) — important when the source is the carefully - crafted ck2yaml output. - - Three patterns are handled (notes are always the last key, by - how RMG / ck2yaml emit them): - 1. Block-style: `` note: ...`` on its own line, - possibly followed by deeper-indented continuation lines - (multi-line literal/folded scalars). - 2. Single-line flow: ``{..., note: foo}`` → ``{...}`` - 3. Wrapped flow: a flow mapping that wraps with the - trailing ``,`` at the end of one line and - `` note: foo}`` on the next → drop the comma and - replace with ``}`` on the prior line. - """ - if not os.path.exists(src): - return - with open(src) as f: - text = f.read() - # Wrapped flow style: a flow mapping that wraps after a - # trailing ``,``, with ``note: value`` on the next line - # (value may itself wrap across several more-indented lines) - # ending in ``}``. Replace the whole tail with ``}``. - # CodeQL flags this as polynomial ReDoS (py/polynomial-redos); - # safe here because [^\n}]* and \n[ \t]+ consume disjoint - # characters (no alternative-path overlap) and the inner * - # consumes >=2 chars per iteration, so worst-case is O(N^2) - # rather than exponential. Inputs are RMG-generated YAML, - # not adversarial. - text = re.sub( - r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', - '}', text) # lgtm[py/polynomial-redos] - # Single-line flow style: ``, note: value}`` → ``}``. - text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) - # Block style: `` note: ...\n`` plus deeper-indented - # continuation lines. - text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE) - with open(dst, "w") as f: - f.write(text) - # Strip transport notes from the ck2yaml file so it matches the # notes-stripped variants below. ck_chem_yaml = os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml") - _strip_yaml_notes(ck_chem_yaml, ck_chem_yaml) + util.strip_yaml_notes(ck_chem_yaml, ck_chem_yaml) # Produce notes-stripped chem.yaml / chem_edge.yaml end-of-run for # each direct Cantera writer (mirrors Chemkin's chem.inp). @@ -1419,11 +1377,11 @@ def _strip_yaml_notes(src, dst): if not (writer_cfg and writer_cfg.enabled): continue writer_path = os.path.join(self.output_directory, writer_dir) - _strip_yaml_notes( + util.strip_yaml_notes( os.path.join(writer_path, "chem_annotated.yaml"), os.path.join(writer_path, "chem.yaml"), ) - _strip_yaml_notes( + util.strip_yaml_notes( os.path.join(writer_path, "chem_edge_annotated.yaml"), os.path.join(writer_path, "chem_edge.yaml"), ) diff --git a/rmgpy/util.py b/rmgpy/util.py index 8be80d5f889..7862b0d6f11 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -30,6 +30,7 @@ import argparse import logging import os.path +import re import shutil import time from functools import wraps @@ -125,6 +126,49 @@ def make_output_subdirectory(output_directory, folder): os.mkdir(dirname) +def strip_yaml_notes(src, dst): + """Read a YAML file, strip ``note:`` fields, and write the + result to *dst*. Preserves formatting (block style, key + ordering, etc.) - important when the source is the carefully + crafted ck2yaml output. + + Three patterns are handled (notes are always the last key, by + how RMG / ck2yaml emit them): + 1. Block-style: `` note: ...`` on its own line, + possibly followed by deeper-indented continuation lines + (multi-line literal/folded scalars). + 2. Single-line flow: ``{..., note: foo}`` -> ``{...}`` + 3. Wrapped flow: a flow mapping that wraps with the + trailing ``,`` at the end of one line and + `` note: foo}`` on the next -> drop the comma and + replace with ``}`` on the prior line. + """ + if not os.path.exists(src): + return + with open(src) as f: + text = f.read() + # Wrapped flow style: a flow mapping that wraps after a + # trailing ``,``, with ``note: value`` on the next line + # (value may itself wrap across several more-indented lines) + # ending in ``}``. Replace the whole tail with ``}``. + # CodeQL flags this as polynomial ReDoS (py/polynomial-redos); + # safe here because [^\n}]* and \n[ \t]+ consume disjoint + # characters (no alternative-path overlap) and the inner * + # consumes >=2 chars per iteration, so worst-case is O(N^2) + # rather than exponential. Inputs are RMG-generated YAML, + # not adversarial. + text = re.sub( + r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', + '}', text) # lgtm[py/polynomial-redos] + # Single-line flow style: ``, note: value}`` -> ``}``. + text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) + # Block style: `` note: ...\n`` plus deeper-indented + # continuation lines. + text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE) + with open(dst, "w") as f: + f.write(text) + + def timefn(fn): @wraps(fn) def measure_time(*args, **kwargs): From f873f8323f6de414f0a86ef68cf53f8e74765300 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 08:55:29 -0400 Subject: [PATCH 603/700] Added new utilTest.py file, to test the yaml note extractor. --- test/rmgpy/utilTest.py | 120 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 test/rmgpy/utilTest.py diff --git a/test/rmgpy/utilTest.py b/test/rmgpy/utilTest.py new file mode 100644 index 00000000000..c601cc8c68e --- /dev/null +++ b/test/rmgpy/utilTest.py @@ -0,0 +1,120 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +from rmgpy.util import strip_yaml_notes + + +class UtilTest: + def strip_yaml_notes(self, tmp_path, source_text): + source_path = tmp_path / "chem_annotated.yaml" + destination_path = tmp_path / "chem.yaml" + source_path.write_text(source_text) + + strip_yaml_notes(source_path, destination_path) + + return destination_path.read_text() + + def test_strip_yaml_notes_removes_block_style_note(self, tmp_path): + source = """species: +- name: CH4 + composition: {C: 1, H: 4} + note: RMG-generated species note +- name: O2 + composition: {O: 2} +""" + expected = """species: +- name: CH4 + composition: {C: 1, H: 4} +- name: O2 + composition: {O: 2} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected + + def test_strip_yaml_notes_removes_block_style_multiline_note(self, tmp_path): + source = """reactions: +- equation: CH4 + O2 <=> CH3 + HO2 + rate-constant: {A: 1.0e+06, b: 0.0, Ea: 10000.0} + note: | + Estimated by RMG. + Includes database comments. +- equation: H + O2 <=> O + OH + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 15000.0} +""" + expected = """reactions: +- equation: CH4 + O2 <=> CH3 + HO2 + rate-constant: {A: 1.0e+06, b: 0.0, Ea: 10000.0} +- equation: H + O2 <=> O + OH + rate-constant: {A: 1.0e+14, b: 0.0, Ea: 15000.0} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected + + def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path): + source = """species: +- name: Ar + transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5, note: RMG transport} +""" + expected = """species: +- name: Ar + transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected + + def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path): + source = """species: +- name: CH4 + transport: {model: gas, geometry: nonlinear, diameter: 3.746, + well-depth: 141.4, + note: RMG transport note} +""" + expected = """species: +- name: CH4 + transport: {model: gas, geometry: nonlinear, diameter: 3.746, + well-depth: 141.4} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected + + def test_strip_yaml_notes_removes_wrapped_flow_multiline_note(self, tmp_path): + source = """species: +- name: CH4 + transport: {model: gas, geometry: nonlinear, diameter: 3.746, + well-depth: 141.4, + note: RMG transport note + with wrapped detail} +""" + expected = """species: +- name: CH4 + transport: {model: gas, geometry: nonlinear, diameter: 3.746, + well-depth: 141.4} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected From afe5a73f3f9ffa48fc4a5a961719c4a67dc5af32 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 09:23:34 -0400 Subject: [PATCH 604/700] Rename rmgUtilTest so it doesn't clash with rmgpy/molecule/utilTest.py Prevents pytest errors when collecting all the tests at once. --- test/rmgpy/{utilTest.py => rmgUtilTest.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename test/rmgpy/{utilTest.py => rmgUtilTest.py} (100%) diff --git a/test/rmgpy/utilTest.py b/test/rmgpy/rmgUtilTest.py similarity index 100% rename from test/rmgpy/utilTest.py rename to test/rmgpy/rmgUtilTest.py From afc1db9dc85d7bb817afd35f3949a8f6ee3da0b7 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 10:07:49 -0400 Subject: [PATCH 605/700] Fixes to tools/compare_cantera_yaml Reduce tolerance on some parameters to avoid false failures. eg. when an activation energy is rounded to 0.001 kcal/mol that is 4185 J/kmol (the Cantera units). Also some fixing of latent bugs. --- rmgpy/tools/compare_cantera_yaml.py | 38 ++++++++++++++++------------- 1 file changed, 21 insertions(+), 17 deletions(-) diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index 0032ccd25c3..78ab0b0bd72 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -18,7 +18,6 @@ import logging from pathlib import Path from typing import Any, List, Tuple, Dict -from itertools import chain import yaml import numpy as np @@ -175,21 +174,29 @@ def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-12, ### SPECIAL CASES # Special handling for 'elements' path - normalize to title case and sort - if path.split('.')[-1] == 'elements': + if path.endswith('elements') and val1 and val2: if isinstance(val1[0], str) and isinstance(val2[0], str): + # the elements list in a phase, eg. elements: [H, C, O, N, Ne, X] val1_normalized = sorted([v.title() for v in val1]) val2_normalized = sorted([v.title() for v in val2]) if val1_normalized != val2_normalized: differences.append(f"Elements list mismatch at {path}: {val1_normalized} vs {val2_normalized}") return differences if isinstance(val1[0], dict) and isinstance(val2[0], dict): - for d in chain(val1, val2): - d['symbol'] = d['symbol'].title() + # The top level elements list like elements:[{symbol: D, atomic-weight: 2.014102}] + val1 = [dict(d, symbol=d['symbol'].title()) for d in val1] + val2 = [dict(d, symbol=d['symbol'].title()) for d in val2] val1 = sorted([d for d in val1], key=lambda x: x['symbol']) val2 = sorted([d for d in val2], key=lambda x: x['symbol']) if path.endswith('Troe.T1') or path.endswith('Troe.T2') or path.endswith('Troe.T3'): - rtol = 5e-3 # Relax tolerance due to rounding. + rtol = 0.005 # Relax tolerance due to rounding. + + if path.endswith('rate-constant.b'): + atol = 0.0005 # ck rounds to 0.001 + + if path.endswith('rate-constant.Ea'): + atol = 4185/2 # ck rounds to 0.001 kcal/mol which is 4184 J/kmol ### END OF SPECIAL CASES @@ -226,13 +233,13 @@ def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-12, # Handle numeric values with tolerance elif is_numeric(val1) and is_numeric(val2): - # Use numpy.allclose for comparison + # Use numpy.isclose for comparison if not np.isclose(val1, val2, atol=atol, rtol=rtol): # Compute the difference for reporting - abs_diff = abs(val1 - val2) - rel_diff = abs(abs_diff / val2) if val2 != 0 else float('inf') + diff = (val2 - val1) + ratio = (val2 / val1) if val1 != 0 else float('inf') differences.append(f"Numerical difference at {path}: {val1} vs {val2} " - f"(abs_diff={abs_diff:.2e}, rel_diff={rel_diff:.2e})") + f"(difference={diff:.2g}, ratio={ratio:.2g})") # Handle strings and other comparable types elif val1 != val2: @@ -500,9 +507,9 @@ def main(): parser.add_argument("file1", help="First Cantera YAML file") parser.add_argument("file2", help="Second Cantera YAML file") parser.add_argument("--abs-tol", type=float, default=1e-11, - help="Absolute tolerance for numerical comparisons (default: 1e-9)") + help="Absolute tolerance for numerical comparisons (default: 1e-11)") parser.add_argument("--rel-tol", type=float, default=1e-3, - help="Relative tolerance for numerical comparisons (default: 1e-9)") + help="Relative tolerance for numerical comparisons (default: 1e-3)") args = parser.parse_args() @@ -535,14 +542,11 @@ def main(): logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") if len(sys.argv) == 1: logging.info("No arguments provided. Using default test files for demonstration.") - # sys.argv.extend([ - # "test/rmgpy/test_data/yaml_writer_data/chemkin/from_main_test.yaml", - # "test/rmgpy/test_data/yaml_writer_data/cantera/from_main_test.yaml" - # ]) + rmg_root = Path(__file__).resolve().parents[2] sys.argv.extend([ - "/Users/rwest/Code/RMG-Py/testing/eg0/cantera_from_ck/chem.yaml", - "/Users/rwest/Code/RMG-Py/testing/eg0/cantera2/chem.yaml" + str(rmg_root / "testing/eg0/cantera_from_ck/chem.yaml"), + str(rmg_root / "testing/eg0/cantera1/chem.yaml") ]) main() From c806c6ce36b15e455c9f36d416892cdb8b313feb Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 10:25:10 -0400 Subject: [PATCH 606/700] Tweaking the yaml note stripper CodeQL was complaining about a recursive regular expression that could be a problem. Probably wasn't but this might be more robust anyway. I'll be honest, I haven't gone through carefully to understand all the regular expressions that Codex (GPT 5.5) has come up with here, but am adding unit tests to reassure myself that it works. --- rmgpy/util.py | 66 +++++++++++++++++++++++++++------------ test/rmgpy/rmgUtilTest.py | 10 +++--- 2 files changed, 51 insertions(+), 25 deletions(-) diff --git a/rmgpy/util.py b/rmgpy/util.py index 7862b0d6f11..2b7fd23d3b2 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -114,6 +114,42 @@ def notify(self, modifier=None): observer.update(self) +def _strip_wrapped_flow_yaml_notes(text): + """Strip wrapped flow-style YAML notes without a nested regex.""" + lines = text.splitlines(keepends=True) + stripped_lines = [] + i = 0 + while i < len(lines): + line = lines[i] + if ( + stripped_lines + and stripped_lines[-1].rstrip().endswith(",") + and line.lstrip(" \t").startswith("note:") + ): + end_index = i + while end_index < len(lines): + if "}" in lines[end_index]: + comma_index = stripped_lines[-1].rfind(",") + brace_index = lines[end_index].find("}") + stripped_lines[-1] = stripped_lines[-1][:comma_index] + lines[end_index][brace_index:] + i = end_index + 1 + break + if lines[end_index].rstrip().endswith(","): + i = end_index + 1 + break + end_index += 1 + else: + stripped_lines.append(line) + i += 1 + continue + continue + + stripped_lines.append(line) + i += 1 + + return "".join(stripped_lines) + + def make_output_subdirectory(output_directory, folder): """ Create a subdirectory `folder` in the output directory. If the folder @@ -132,36 +168,26 @@ def strip_yaml_notes(src, dst): ordering, etc.) - important when the source is the carefully crafted ck2yaml output. - Three patterns are handled (notes are always the last key, by - how RMG / ck2yaml emit them): + Three patterns are handled: 1. Block-style: `` note: ...`` on its own line, possibly followed by deeper-indented continuation lines (multi-line literal/folded scalars). - 2. Single-line flow: ``{..., note: foo}`` -> ``{...}`` + 2. Single-line flow: ``{..., note: foo, ...}`` -> ``{..., ...}`` 3. Wrapped flow: a flow mapping that wraps with the trailing ``,`` at the end of one line and - `` note: foo}`` on the next -> drop the comma and - replace with ``}`` on the prior line. + `` note: foo`` on the next -> drop the note field. """ if not os.path.exists(src): return with open(src) as f: text = f.read() - # Wrapped flow style: a flow mapping that wraps after a - # trailing ``,``, with ``note: value`` on the next line - # (value may itself wrap across several more-indented lines) - # ending in ``}``. Replace the whole tail with ``}``. - # CodeQL flags this as polynomial ReDoS (py/polynomial-redos); - # safe here because [^\n}]* and \n[ \t]+ consume disjoint - # characters (no alternative-path overlap) and the inner * - # consumes >=2 chars per iteration, so worst-case is O(N^2) - # rather than exponential. Inputs are RMG-generated YAML, - # not adversarial. - text = re.sub( - r',[ \t]*\n[ \t]+note:[^\n}]*(?:\n[ \t]+[^\n}]*)*\}', - '}', text) # lgtm[py/polynomial-redos] - # Single-line flow style: ``, note: value}`` -> ``}``. - text = re.sub(r',[ \t]*note:[^,}]*\}', '}', text) + # Wrapped flow style: a flow mapping that wraps after a trailing comma, + # with ``note: value`` on the next line. + text = _strip_wrapped_flow_yaml_notes(text) + # Single-line flow style. + text = re.sub(r',[ \t]*note:[^,}\n]*', '', text) + text = re.sub(r'(\{)[ \t]*note:[^,}\n]*,[ \t]*', r'\1', text) + text = re.sub(r'\{[ \t]*note:[^,}\n]*\}', '{}', text) # Block style: `` note: ...\n`` plus deeper-indented # continuation lines. text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE) diff --git a/test/rmgpy/rmgUtilTest.py b/test/rmgpy/rmgUtilTest.py index c601cc8c68e..db0f764042d 100644 --- a/test/rmgpy/rmgUtilTest.py +++ b/test/rmgpy/rmgUtilTest.py @@ -79,7 +79,7 @@ def test_strip_yaml_notes_removes_block_style_multiline_note(self, tmp_path): def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path): source = """species: - name: Ar - transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5, note: RMG transport} + transport: {model: gas, note: RMG transport, geometry: atom, diameter: 3.33, well-depth: 136.5} """ expected = """species: - name: Ar @@ -92,8 +92,8 @@ def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path): source = """species: - name: CH4 transport: {model: gas, geometry: nonlinear, diameter: 3.746, - well-depth: 141.4, - note: RMG transport note} + note: RMG transport note, + well-depth: 141.4} """ expected = """species: - name: CH4 @@ -107,9 +107,9 @@ def test_strip_yaml_notes_removes_wrapped_flow_multiline_note(self, tmp_path): source = """species: - name: CH4 transport: {model: gas, geometry: nonlinear, diameter: 3.746, - well-depth: 141.4, note: RMG transport note - with wrapped detail} + with wrapped detail, + well-depth: 141.4} """ expected = """species: - name: CH4 From 4db817bc2b69f146cd9dfce29332458dada8400d Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 10:25:48 -0400 Subject: [PATCH 607/700] Another weird case in the yaml note-stripper. This is such a pain, to think of all the weird edge cases. Is it worth it? --- rmgpy/util.py | 58 ++++++++++++++++++++++++++++++++++++--- test/rmgpy/rmgUtilTest.py | 12 ++++++++ 2 files changed, 66 insertions(+), 4 deletions(-) diff --git a/rmgpy/util.py b/rmgpy/util.py index 2b7fd23d3b2..0999fd0179b 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -150,6 +150,59 @@ def _strip_wrapped_flow_yaml_notes(text): return "".join(stripped_lines) +def _find_flow_yaml_delimiter(text, start): + """Find the next comma or closing brace outside quoted text.""" + quote = None + i = start + while i < len(text): + char = text[i] + if quote: + if char == quote: + if quote == "'" and i + 1 < len(text) and text[i + 1] == "'": + i += 2 + continue + quote = None + elif quote == '"' and char == "\\": + i += 2 + continue + elif char in ("'", '"'): + quote = char + elif char in ",}": + return i + i += 1 + return -1 + + +def _strip_single_line_flow_yaml_notes(text): + """Strip single-line flow-style YAML notes without splitting quoted commas.""" + lines = text.splitlines(keepends=True) + stripped_lines = [] + note_pattern = re.compile(r'([,{])[ \t]*note:') + for line in lines: + search_start = 0 + while True: + match = note_pattern.search(line, search_start) + if not match: + break + value_start = match.end() + value_end = _find_flow_yaml_delimiter(line, value_start) + if value_end == -1: + break + delimiter = line[value_end] + if delimiter == ",": + line = line[:match.start()] + line[value_end:] + search_start = match.start() + elif match.group(1) == ",": + line = line[:match.start()] + line[value_end:] + search_start = match.start() + else: + line = line[:match.start() + 1] + line[value_end:] + search_start = match.start() + 1 + stripped_lines.append(line) + + return "".join(stripped_lines) + + def make_output_subdirectory(output_directory, folder): """ Create a subdirectory `folder` in the output directory. If the folder @@ -184,10 +237,7 @@ def strip_yaml_notes(src, dst): # Wrapped flow style: a flow mapping that wraps after a trailing comma, # with ``note: value`` on the next line. text = _strip_wrapped_flow_yaml_notes(text) - # Single-line flow style. - text = re.sub(r',[ \t]*note:[^,}\n]*', '', text) - text = re.sub(r'(\{)[ \t]*note:[^,}\n]*,[ \t]*', r'\1', text) - text = re.sub(r'\{[ \t]*note:[^,}\n]*\}', '{}', text) + text = _strip_single_line_flow_yaml_notes(text) # Block style: `` note: ...\n`` plus deeper-indented # continuation lines. text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE) diff --git a/test/rmgpy/rmgUtilTest.py b/test/rmgpy/rmgUtilTest.py index db0f764042d..5599f7a3d90 100644 --- a/test/rmgpy/rmgUtilTest.py +++ b/test/rmgpy/rmgUtilTest.py @@ -88,6 +88,18 @@ def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path): assert self.strip_yaml_notes(tmp_path, source) == expected + def test_strip_yaml_notes_removes_single_line_flow_note_with_quoted_comma(self, tmp_path): + source = """species: +- name: Ar + transport: {model: gas, note: 'comma here, danger!', geometry: atom, diameter: 3.33, well-depth: 136.5} +""" + expected = """species: +- name: Ar + transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5} +""" + + assert self.strip_yaml_notes(tmp_path, source) == expected + def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path): source = """species: - name: CH4 From 424096dc9ad861d5a613a5b43a9a4c50276c8f49 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 10:31:44 -0400 Subject: [PATCH 608/700] Ensure the test yaml snippets are valid. --- test/rmgpy/rmgUtilTest.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/rmgUtilTest.py b/test/rmgpy/rmgUtilTest.py index 5599f7a3d90..b95bef0ddd0 100644 --- a/test/rmgpy/rmgUtilTest.py +++ b/test/rmgpy/rmgUtilTest.py @@ -27,6 +27,8 @@ # # ############################################################################### +import yaml + from rmgpy.util import strip_yaml_notes @@ -34,11 +36,14 @@ class UtilTest: def strip_yaml_notes(self, tmp_path, source_text): source_path = tmp_path / "chem_annotated.yaml" destination_path = tmp_path / "chem.yaml" + yaml.safe_load(source_text) source_path.write_text(source_text) strip_yaml_notes(source_path, destination_path) - return destination_path.read_text() + result = destination_path.read_text() + yaml.safe_load(result) + return result def test_strip_yaml_notes_removes_block_style_note(self, tmp_path): source = """species: From a7d12cc48ea983fa09572644314d72655a7bb752 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 13:37:10 -0400 Subject: [PATCH 609/700] Fixes to element handling for electrons, in Chemkin and Cantera. This was pretty broken. Not sure anyone has tried it via chemkin, ever. And not sure the cantera stuff has been tested for electrochemistry. The get_elements method on a ReactionModel now includes an electron if there are any changed species. The electron now has a chemkin_name of "E" which is what both Chemkin and Cantera expect (It's a shame that we internally are using "e" as the symbol..). I did this with the help (and/or hindrance) of Codex with GPT 5.5. I spent so long correcting the way it first chose to fix stuff, and then removing patches that were no longer needed, that I'm not sure how much it helped in the end. Probably a bit. But you do have to stop these LLMs from implementing solutions that add dozens of lines of code. --- rmgpy/chemkin.pyx | 12 ++++--- rmgpy/molecule/element.py | 2 +- rmgpy/rmg/model.py | 11 +++++-- rmgpy/species.py | 5 ++- rmgpy/yaml_cantera1.py | 2 +- rmgpy/yaml_cantera2.py | 15 ++++++--- test/rmgpy/chemkinTest.py | 51 ++++++++++++++++++++++++++++++ test/rmgpy/molecule/elementTest.py | 3 ++ test/rmgpy/yaml_cantera1Test.py | 28 +++++++++++++++- test/rmgpy/yaml_cantera2Test.py | 20 ++++++++++-- 10 files changed, 130 insertions(+), 19 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 8c7e2355497..0ea8c0d1ddf 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -46,7 +46,6 @@ from rmgpy.data.kinetics.family import TemplateReaction from rmgpy.data.kinetics.library import LibraryReaction from rmgpy.exceptions import ChemkinError from rmgpy.molecule.element import get_element -from rmgpy.molecule.util import get_element_count from rmgpy.quantity import Quantity, QuantityError from rmgpy.reaction import Reaction from rmgpy.rmg.pdep import PDepNetwork, PDepReaction @@ -1580,7 +1579,7 @@ def write_thermo_entry(species, element_counts=None, bint verbose=True): cdef dict counts cdef list sorted_elements, elements, short_lines cdef bint extended_syntax - cdef int count, isotope + cdef int count, isotope, charge cdef str string, line, short_line, chemkin_name, symbol, elem_1, elem_2 cdef object thermo_data @@ -1608,7 +1607,12 @@ def write_thermo_entry(species, element_counts=None, bint verbose=True): chemkin_name = atom.element.chemkin_name counts[chemkin_name] = counts.get(chemkin_name, 0) + 1 else: - counts = element_counts + counts = dict(element_counts) + if 'e' in counts: + counts['E'] = counts.pop('e') + charge = species.molecule[0].get_net_charge() + if charge != 0 and 'E' not in counts: + counts['E'] = -charge # Sort the element_counts dictionary so that it's C, H, Al, B, Cl, D, etc. # if there's any C, else Al, B, Cl, D, H, if not. This is the "Hill" system @@ -2389,7 +2393,7 @@ def write_elements_section(f, elements_in_use): from rmgpy.molecule.element import D, T, C13, O18, X s = 'ELEMENTS\n' custom_singletons = {D, T, C13, O18, X} - elements_list = sorted(e.chemkin_name for e in elements_in_use if e not in custom_singletons) + elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons) for element in elements_list: s += f'\t{element}\n' for isotope in (D, T, C13, O18): diff --git a/rmgpy/molecule/element.py b/rmgpy/molecule/element.py index 4f0a6a5704a..d3a8e75411a 100644 --- a/rmgpy/molecule/element.py +++ b/rmgpy/molecule/element.py @@ -175,7 +175,7 @@ def get_element(value, isotope=-1): # 'caesium') # electron -e = Element(-1, 'e', 'electron' , 5.486e-7) +e = Element(-1, 'e', 'electron' , 5.486e-7, chemkin_name='E') # Surface site X = Element(0, 'X', 'surface_site' , 0.0) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 9457d2f5257..e54c3e0805f 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -166,15 +166,20 @@ def get_elements(self): """ Return the set of :class:`Element` singletons used by atoms of species in this :class:`ReactionModel`. Iterates each species' first resonance - structure (``sp.molecule[0]``) and collects ``atom.element``. Species - with empty ``molecule`` are skipped. + structure (``sp.molecule[0]``) and collects ``atom.element``. The + electron singleton is included when a species has nonzero net charge, + since Chemkin and Cantera use it for charge bookkeeping. """ + from rmgpy.molecule.element import e elements = set() for sp in self.species: if not sp.molecule: continue - for atom in sp.molecule[0].atoms: + mol = sp.molecule[0] + for atom in mol.atoms: elements.add(atom.element) + if mol.get_net_charge() != 0: + elements.add(e) return elements diff --git a/rmgpy/species.py b/rmgpy/species.py index 92bb4e805e3..f499021b130 100644 --- a/rmgpy/species.py +++ b/rmgpy/species.py @@ -448,13 +448,16 @@ def to_cantera(self, use_chemkin_identifier=False, all_species=None): for vertex in self.molecule[0].vertices: # The atom itself if not isinstance(vertex, CuttingLabel): - symbol = vertex.element.symbol + symbol = vertex.element.chemkin_name else: # that means this vertex is CuttingLabel continue if symbol not in element_dict: element_dict[symbol] = 1 else: element_dict[symbol] += 1 + charge = self.molecule[0].get_net_charge() + if charge != 0 and 'E' not in element_dict: + element_dict['E'] = -charge if use_chemkin_identifier: label = self.to_chemkin() else: diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index d0c18a20261..374da2cb729 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -191,7 +191,7 @@ def get_elements_block(elements_in_use): """ from rmgpy.molecule.element import D, T, C13, O18, X custom_singletons = {D, T, C13, O18, X} - elements_list = sorted(element.symbol for element in elements_in_use if element not in custom_singletons) + elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons) custom_elements = [] for isotope in (D, T, C13, O18): if isotope in elements_in_use: diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 3bd1a019c5c..54000c6d7ab 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -87,6 +87,7 @@ def _multiline_str_representer(dumper, data): 101: 'Md', 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt', 110: 'Ds', 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'} NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()} +NUMBER_BY_SYMBOL['E'] = 0 class CanteraWriter2(object): @@ -212,13 +213,12 @@ def get_elements_lists(elements_in_use): elements_in_use is a set of :class:`Element` singletons (typically from :meth:`rmgpy.rmg.model.ReactionModel.get_elements`). Only those elements are emitted; isotopes (D, T, CI, OI) and X are added only when present in - the set. The plasma pseudo-element 'E' is added separately by the caller - when ``is_plasma`` is true. + the set. """ from rmgpy.molecule.element import D, T, C13, O18, X custom_singletons = {D, T, C13, O18, X} custom_elements = [] - elements_list = sorted(element.symbol for element in elements_in_use if element not in custom_singletons) + elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons) for isotope in (D, T, C13, O18): if isotope in elements_in_use: mass = 1000 * isotope.mass @@ -229,6 +229,7 @@ def get_elements_lists(elements_in_use): custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083}) return custom_elements, elements_list + def generate_cantera_data(species_list, reaction_list, elements_in_use=None, @@ -295,7 +296,8 @@ def generate_cantera_data(species_list, if custom_elements: data['elements'] = custom_elements elements_set = set(all_elements) - if is_plasma: + from rmgpy.molecule.element import e + if is_plasma or e in elements_in_use: elements_set.add('E') phases = list() @@ -414,7 +416,10 @@ def species_to_dict(species, species_list): # Composition mol = species.molecule[0] - atom_dict = dict(mol.get_element_count()) + atom_dict = {} + for atom in mol.atoms: + symbol = atom.element.chemkin_name + atom_dict[symbol] = atom_dict.get(symbol, 0) + 1 # Number of electrons 'E' # The special pseudo-element E is used in representing charged species, where it specifies diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py index d2fcf77665c..c610679f331 100644 --- a/test/rmgpy/chemkinTest.py +++ b/test/rmgpy/chemkinTest.py @@ -768,6 +768,21 @@ def test_write_elements_section_includes_used_isotopes_and_surface_site(self): "", ] + def test_write_elements_section_maps_electron_to_pseudo_element(self): + """The RMG electron singleton should be written as Chemkin/Cantera E, not e.""" + from rmgpy.molecule.element import H, e + + stream = io.StringIO() + write_elements_section(stream, {H, e}) + + assert stream.getvalue().splitlines() == [ + "ELEMENTS", + "\tE", + "\tH", + "END", + "", + ] + class TestThermoReadWrite: def setup_class(self): @@ -888,6 +903,42 @@ def test_save_chemkin_file_writes_dynamic_elements_section(self, tmp_path): ] assert all("X" not in line for line in elements_lines) + def test_save_chemkin_file_adds_electron_element_for_charged_species(self, tmp_path): + """Charged species require E in the ELEMENTS section even without an electron atom.""" + from rmgpy.molecule.element import Li, e + from rmgpy.rmg.model import ReactionModel + + lithium_ion = Species().from_adjacency_list("1 Li u0 p0 c+1") + lithium_ion.label = "Li+" + lithium_ion.index = 1 + lithium_ion.thermo = self.nasa + + assert ReactionModel(species=[lithium_ion]).get_elements() == {Li, e} + + chemkin_path = tmp_path / "chem.inp" + save_chemkin_file( + chemkin_path, + [lithium_ion], + [], + verbose=False, + check_for_duplicates=False, + ) + + elements_lines = get_elements_section_lines(chemkin_path.read_text()) + assert "\tE" in elements_lines + assert "\tLi" in elements_lines + + def test_write_thermo_block_for_charged_species_includes_electron_count(self): + """Charged species thermo composition should include E: -charge.""" + lithium_ion = Species().from_adjacency_list("1 Li u0 p0 c+1") + lithium_ion.thermo = self.nasa + + result = write_thermo_entry(lithium_ion, verbose=False) + + first_line = result.splitlines()[0] + assert "E -1" in first_line + assert "Li 1" in first_line + def test_write_thermo_block_5_elem(self): """Test that we can write a thermo block for a species with 5 elements""" species = Species().from_adjacency_list( diff --git a/test/rmgpy/molecule/elementTest.py b/test/rmgpy/molecule/elementTest.py index 51c5bd3675e..49944cfb2fc 100644 --- a/test/rmgpy/molecule/elementTest.py +++ b/test/rmgpy/molecule/elementTest.py @@ -100,3 +100,6 @@ def test_chemkin_name(self): o18 = rmgpy.molecule.element.get_element("O", isotope=18) assert o18.chemkin_name == "OI" + + electron = rmgpy.molecule.element.get_element("e") + assert electron.chemkin_name == "E" diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 0500c1444d9..8b3288e5ab5 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -134,6 +134,26 @@ def test_species_to_dict_gas_transport(self): assert np.isclose(d["transport"]["diameter"], 3.0) assert np.isclose(d["transport"]["well-depth"], 100.0) + def test_species_to_dict_charged_species_uses_electron_pseudo_element(self): + """Charged species composition uses Cantera's E pseudo-element.""" + lithium_ion = Species(label="Li+", index=10) + lithium_ion.from_adjacency_list("1 Li u0 p0 c+1") + lithium_ion.thermo = _make_nasa_thermo() + + d = species_to_dict(lithium_ion) + + assert d["composition"] == {"E": -1.0, "Li": 1.0} + + def test_species_to_dict_electron_uses_electron_pseudo_element(self): + """The electron species exports composition as E, not internal e.""" + electron = Species(label="e", index=11) + electron.from_adjacency_list("1 e u1 p0 c-1") + electron.thermo = _make_nasa_thermo() + + d = species_to_dict(electron) + + assert d["composition"] == {"E": 1.0} + def test_species_to_dict_surface_composition(self): """Surface species has X in composition and no transport block.""" d = species_to_dict(self.hx) @@ -419,7 +439,7 @@ def test_reaction_to_dicts_three_species_one_side_spectator(self): def test_get_elements_block_isotopes_and_surface_site(self): """get_elements_block emits isotope and X definitions only when requested.""" - from rmgpy.molecule.element import H, C, D, T, X + from rmgpy.molecule.element import H, C, D, T, X, e # With D, T, X in use, the block names them with the right masses elements_block, elements_line = get_elements_block({H, C, D, T, X}) @@ -437,6 +457,12 @@ def test_get_elements_block_isotopes_and_surface_site(self): assert 'T' not in elements_block assert 'X' not in elements_block + # The RMG electron singleton is lowercase e internally, but Cantera + # expects the uppercase pseudo-element E in phase element lists. + elements_block, elements_line = get_elements_block({H, e}) + assert elements_block == '' + assert elements_line == 'elements: [E, H]' + def test_get_phases_gas_only_has_state(self): """Gas-only phases block includes state with T and P.""" phases_block = get_phases_gas_only([self.h2, self.h], 'elements: [H]') diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 742405cfa40..07488813481 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -593,7 +593,7 @@ def test_reaction_to_dict_thirdbody_unit(self): def test_get_elements_block_isotopes_and_surface_site(self): """get_elements_lists emits isotope and X definitions only when in use.""" - from rmgpy.molecule.element import H, C, D, T, X + from rmgpy.molecule.element import H, C, D, T, X, e # With D, T, X in use: isotope and X entries appear custom_elements, elements_list = get_elements_lists({H, C, D, T, X}) @@ -616,10 +616,16 @@ def test_get_elements_block_isotopes_and_surface_site(self): assert 'D' not in elements_list assert 'T' not in elements_list + # The RMG electron singleton is lowercase e internally, but exports as + # Cantera's uppercase pseudo-element E. + custom_elements, elements_list = get_elements_lists({H, e}) + assert custom_elements == [] + assert elements_list == ['E', 'H'] + def test_generate_cantera_data_elements_block(self): """generate_cantera_data emits a top-level 'elements' key only when non-builtin elements (isotopes, X) are in use, matching ck2yaml.""" - from rmgpy.molecule.element import H, X + from rmgpy.molecule.element import H, X, e h2 = self._create_dummy_species("H2", "[H][H]", index=1) # Gas-only H2: no isotopes, no X -> no top-level 'elements' block. @@ -629,9 +635,17 @@ def test_generate_cantera_data_elements_block(self): # Surface fixture: X is in use, so it appears as a custom element. x = self._create_surface_species("X", "1 X u0 p0", index=2) data = generate_cantera_data([h2, x], [], elements_in_use={H, X}) - symbols = [e['symbol'] for e in data['elements']] + symbols = [entry['symbol'] for entry in data['elements']] assert 'X' in symbols + electron = Species(label="e", index=2) + electron.from_adjacency_list("1 e u1 p0 c-1") + electron.thermo = h2.thermo + data = generate_cantera_data([h2, electron], [], elements_in_use={H, e}, is_plasma=True) + assert data['phases'][0]['elements'] == ['E', 'H'] + electron_entry = next(sp for sp in data['species'] if sp['name'] == 'e(2)') + assert electron_entry['composition'] == {'E': 1} + def test_generate_cantera_data_gas_phase_state(self): """Gas phase definition includes a 'state' block with T and P.""" from rmgpy.molecule.element import H From b49f12f8106bf27a6e51c379b54ed7f110a7424c Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 22:58:55 -0400 Subject: [PATCH 610/700] Move yaml_writer_data .gitignore rule into root .gitignore, and fixup Added some other entries while I was at it. --- .gitignore | 7 ++++++- test/rmgpy/test_data/yaml_writer_data/.gitignore | 1 - 2 files changed, 6 insertions(+), 2 deletions(-) delete mode 100644 test/rmgpy/test_data/yaml_writer_data/.gitignore diff --git a/.gitignore b/.gitignore index 8f6b5127433..4a3a9a662e1 100644 --- a/.gitignore +++ b/.gitignore @@ -16,6 +16,7 @@ reactionmechanismgenerator.egg-info/ *.pyd # and intermediate source files *.c +rmgpy/**/*.html # Image files generated by RMG *.png @@ -24,6 +25,7 @@ reactionmechanismgenerator.egg-info/ # Temporary build files build/* +.installed # Compiled documentation documentation/build/* @@ -105,7 +107,8 @@ test/arkane/data/two_parameter_arrhenius_fit/arkane.log test/arkane/data/two_parameter_arrhenius_fit/output.py test/arkane/data/two_parameter_arrhenius_fit/chem.inp test/rmgpy/test_data/temp_dir_for_testing/cantera/chem001.yaml -rmgpy/test_data/copied_kinetic_lib/ +test/rmgpy/test_data/yaml_writer_data/*/from_main_test.yaml +test/rmgpy/test_data/copied_kinetic_lib/ testing/qm/* test_log.txt rmgpy/tools/data/flux/flux/1/*.dot @@ -126,6 +129,8 @@ examples/**/plots examples/**/chemkin/*.inp examples/**/chemkin/tran.dat examples/**/chemkin/*dictionary.txt +examples/**/cantera1/ +examples/**/cantera2/ examples/**/chem*.yaml examples/**/rms/*.rms examples/**/output*.html diff --git a/test/rmgpy/test_data/yaml_writer_data/.gitignore b/test/rmgpy/test_data/yaml_writer_data/.gitignore deleted file mode 100644 index 7acff224a27..00000000000 --- a/test/rmgpy/test_data/yaml_writer_data/.gitignore +++ /dev/null @@ -1 +0,0 @@ -from_main_test.yaml From 82186bb74123ee5cde9e887cac5566a18d29a0ba Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 23:14:37 -0400 Subject: [PATCH 611/700] Rename strip_yaml_notes helper function in rmgUtilTest Was confusing having two things with the same name do different things --- test/rmgpy/rmgUtilTest.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/test/rmgpy/rmgUtilTest.py b/test/rmgpy/rmgUtilTest.py index b95bef0ddd0..6b9df579a10 100644 --- a/test/rmgpy/rmgUtilTest.py +++ b/test/rmgpy/rmgUtilTest.py @@ -33,16 +33,16 @@ class UtilTest: - def strip_yaml_notes(self, tmp_path, source_text): + def run_strip(self, tmp_path, source_text): source_path = tmp_path / "chem_annotated.yaml" destination_path = tmp_path / "chem.yaml" - yaml.safe_load(source_text) + yaml.safe_load(source_text) # just to check it's valid YAML source_path.write_text(source_text) - + yaml.safe_load(source_path.read_text()) strip_yaml_notes(source_path, destination_path) result = destination_path.read_text() - yaml.safe_load(result) + yaml.safe_load(result) # just to check it's valid YAML return result def test_strip_yaml_notes_removes_block_style_note(self, tmp_path): @@ -60,7 +60,7 @@ def test_strip_yaml_notes_removes_block_style_note(self, tmp_path): composition: {O: 2} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected def test_strip_yaml_notes_removes_block_style_multiline_note(self, tmp_path): source = """reactions: @@ -79,7 +79,7 @@ def test_strip_yaml_notes_removes_block_style_multiline_note(self, tmp_path): rate-constant: {A: 1.0e+14, b: 0.0, Ea: 15000.0} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path): source = """species: @@ -91,7 +91,7 @@ def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path): transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected def test_strip_yaml_notes_removes_single_line_flow_note_with_quoted_comma(self, tmp_path): source = """species: @@ -103,7 +103,7 @@ def test_strip_yaml_notes_removes_single_line_flow_note_with_quoted_comma(self, transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path): source = """species: @@ -118,7 +118,7 @@ def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path): well-depth: 141.4} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected def test_strip_yaml_notes_removes_wrapped_flow_multiline_note(self, tmp_path): source = """species: @@ -134,4 +134,4 @@ def test_strip_yaml_notes_removes_wrapped_flow_multiline_note(self, tmp_path): well-depth: 141.4} """ - assert self.strip_yaml_notes(tmp_path, source) == expected + assert self.run_strip(tmp_path, source) == expected From 2cf7e9c70ad38d69d8a78263829b4fe036ff21e8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 21 May 2026 23:44:48 -0400 Subject: [PATCH 612/700] Add details to a comment in a unit test. --- test/rmgpy/yaml_cantera1Test.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 8b3288e5ab5..a066fcb9252 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -402,13 +402,14 @@ def test_reaction_to_dicts_surface_spectator_species(self): def test_reaction_to_dicts_three_species_one_side_spectator(self): """Spectator on both sides with 3+ stoichiometric items on a side must still drop efficiencies. - Cantera's API misidentifies a species with net-zero stoichiometry as + Cantera's API (v. 3.1 and 3.2) misidentifies a species with net-zero stoichiometry as a third-body collider whenever the reaction has three or more stoichiometric items on one side. Routing ct.Reaction through an equation string avoids this only for the 2-each-side case. For wider reactions the writer must strip the resulting spurious 'efficiencies' from input_data so the YAML round-trips through ct.Solution. + See https://github.com/Cantera/cantera/issues/2115#issuecomment-4465564540 """ ox = _make_surface_species( "O_X", From a8911e83c0a72b7bd58559e3ba795bd650d96c4f Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 00:04:08 -0400 Subject: [PATCH 613/700] Defenses in chemkin writing for electrons, and cythonization. Started as adding warnings when the number of electrons in a molecule and the specified negative charge differ (because we have to choose one for writing the chemkin file). Then I found myself adding cython declarations. And removed the entirely unused path whereby you pass an tuple to get isotopes. This is fixed in a separate branch. (Merging/rebasing will now be a pain. Ugh) --- rmgpy/chemkin.pyx | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 0ea8c0d1ddf..5b836c44d0c 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -1579,7 +1579,7 @@ def write_thermo_entry(species, element_counts=None, bint verbose=True): cdef dict counts cdef list sorted_elements, elements, short_lines cdef bint extended_syntax - cdef int count, isotope, charge + cdef int count, isotope, charge, electrons cdef str string, line, short_line, chemkin_name, symbol, elem_1, elem_2 cdef object thermo_data @@ -1608,10 +1608,19 @@ def write_thermo_entry(species, element_counts=None, bint verbose=True): counts[chemkin_name] = counts.get(chemkin_name, 0) + 1 else: counts = dict(element_counts) + # Some callers pass element_counts keyed by element symbol 'e' rather than chemkin name 'E' if 'e' in counts: counts['E'] = counts.pop('e') charge = species.molecule[0].get_net_charge() - if charge != 0 and 'E' not in counts: + if 'E' in counts: + electrons = counts['E'] + if charge == 0 and electrons != 0: + logging.warning(f"Species {species} has {electrons} electrons but charge 0. " + f"Reporting {electrons} electrons in the Chemkin composition.") + elif charge != 0 and electrons != -charge: + logging.warning(f"Species {species} has {electrons} electrons but charge {charge}. " + f"Reporting {-charge} electrons in the Chemkin composition.") + if charge != 0: counts['E'] = -charge # Sort the element_counts dictionary so that it's C, H, Al, B, Cl, D, etc. @@ -1638,12 +1647,7 @@ def write_thermo_entry(species, element_counts=None, bint verbose=True): # Compile element count string extended_syntax = len(counts) > 4 # If there are more than 4 elements, use extended syntax elements = [] - for key, count in counts.items(): - if isinstance(key, tuple): - symbol, isotope = key - chemkin_name = get_element(symbol, isotope=isotope).chemkin_name - else: - chemkin_name = key + for chemkin_name, count in counts.items(): if extended_syntax: # Create a list of alternating elements and counts elements.extend([chemkin_name, str(count)]) From a5005816a8ae3c34bf549a6bbdc2b2a8a02899f6 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 00:35:39 -0400 Subject: [PATCH 614/700] Unit test for the new/safer to_cantera method for reactions with spectator species. The commit that started this whole pull request, titled "Fix to_cantera() to use equation string, avoiding Cantera third-body misidentification" (the hash will probably change on rebasing before this is merged) patched a bug in the Cantera API. It was indirectly tested via the yaml writer, but this explicitly tests the to_cantera method. (And the test fails if you revert that patch). --- test/rmgpy/reactionTest.py | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/test/rmgpy/reactionTest.py b/test/rmgpy/reactionTest.py index a11d773f11f..458de09f6a1 100644 --- a/test/rmgpy/reactionTest.py +++ b/test/rmgpy/reactionTest.py @@ -2921,6 +2921,25 @@ def test_arrhenius(self): assert np.isclose(converted_obj.rate.input_data['rate-constant']['b'], ct_obj.rate.input_data['rate-constant']['b']) assert np.isclose(converted_obj.rate.input_data['rate-constant']['Ea'], ct_obj.rate.input_data['rate-constant']['Ea']) + def test_to_cantera_with_spectator_species(self): + """ + Tests that species present on both sides are not duplicated. + """ + species_by_label = {species.label: species for species in self.species_list} + h = species_by_label["H"] + h2 = species_by_label["H2"] + ch4 = species_by_label["CH4"] + rxn = Reaction( + reactants=[h, h, ch4], + products=[h2, ch4], + kinetics=Arrhenius(A=(1e6, "cm^6/(mol^2*s)"), n=0, Ea=(0, "kcal/mol"), T0=(1, "K")), + ) + + ct_rxn = rxn.to_cantera(self.species_list, use_chemkin_identifier=True) + + assert ct_rxn.input_data["equation"] == "2 H(3) + CH4(15) <=> H2(2) + CH4(15)" + assert ct_rxn.input_data["equation"].count("CH4(15)") == 2 + def test_multi_arrhenius(self): """ Tests formation of cantera reactions with MultiArrhenius kinetics. From bbbd1b268447497f927d90e74843ec9038a2a182 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 00:46:40 -0400 Subject: [PATCH 615/700] Log warnings in Species.to_cantera when charge and # electrons disagree Much like is added recently to the chemkin writer. --- rmgpy/species.py | 10 +++++++++- test/rmgpy/speciesTest.py | 34 +++++++++++++++++++++++++++++++++- 2 files changed, 42 insertions(+), 2 deletions(-) diff --git a/rmgpy/species.py b/rmgpy/species.py index f499021b130..a75dc94e8f1 100644 --- a/rmgpy/species.py +++ b/rmgpy/species.py @@ -456,7 +456,15 @@ def to_cantera(self, use_chemkin_identifier=False, all_species=None): else: element_dict[symbol] += 1 charge = self.molecule[0].get_net_charge() - if charge != 0 and 'E' not in element_dict: + if 'E' in element_dict: + electrons = element_dict['E'] + if charge == 0 and electrons != 0: + logging.warning(f"Species {self} has {electrons} electrons but charge 0. " + f"Reporting {electrons} electrons in the Cantera composition.") + elif electrons != -charge: + logging.warning(f"Species {self} has {electrons} electrons but charge {charge}. " + f"Reporting {-charge} electrons in the Cantera composition.") + if charge != 0: element_dict['E'] = -charge if use_chemkin_identifier: label = self.to_chemkin() diff --git a/test/rmgpy/speciesTest.py b/test/rmgpy/speciesTest.py index ec97de5b9da..0971722a715 100644 --- a/test/rmgpy/speciesTest.py +++ b/test/rmgpy/speciesTest.py @@ -34,7 +34,7 @@ from rmgpy.species import Species from rmgpy.transport import TransportData -from rmgpy.molecule import Molecule +from rmgpy.molecule import Atom, Molecule, get_element from rmgpy.thermo import ThermoData from rmgpy.statmech import ( Conformer, @@ -485,6 +485,38 @@ def test_cantera(self): assert type(rmg_ct_species.thermo) == type(ct_species.thermo) assert type(rmg_ct_species.transport) == type(ct_species.transport) + def test_to_cantera_warns_and_uses_charge_for_explicit_electron_mismatch(self, caplog): + """ + Test that a charged Cantera species composition uses the net charge when + explicit electrons disagree. + """ + mol = Molecule(atoms=[ + Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0), + Atom(element=get_element("e"), charge=-1, radical_electrons=0, lone_pairs=0), + ]) + species = Species(label="H2minus_with_one_electron", molecule=[mol]) + + ct_species = species.to_cantera() + + assert ct_species.composition["E"] == 2 + assert "has 1 electrons but charge -2" in caplog.text + assert "Reporting 2 electrons in the Cantera composition." in caplog.text + + def test_to_cantera_uses_charge_when_electrons_unspecified(self, caplog): + """ + Test that a charged Cantera species composition uses the net charge + without a warning when no explicit electrons are present. + """ + mol = Molecule(atoms=[ + Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0), + ]) + species = Species(label="Hminus", molecule=[mol]) + + ct_species = species.to_cantera() + + assert ct_species.composition["E"] == 1 + assert "electrons but charge" not in caplog.text + def test_get_transport_data(self): """ Test that transport data can be retrieved correctly via the get_transport_data method. From f566577d3177344df5722c74fecb23009299891e Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 00:54:07 -0400 Subject: [PATCH 616/700] The CanteraWriter2 now also warns if # electrons differs from -charge. --- rmgpy/yaml_cantera2.py | 10 +++++++++- test/rmgpy/yaml_cantera2Test.py | 35 +++++++++++++++++++++++++++++++++ 2 files changed, 44 insertions(+), 1 deletion(-) diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 54000c6d7ab..916d6c93f9a 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -427,7 +427,15 @@ def species_to_dict(species, species_list): # That is, negatively charged ions will have E > 0, while positively charged ions will have E < 0. # https://cantera.org/3.1/userguide/creating-mechanisms.html#elemental-composition charge = mol.get_net_charge() - if 'E' not in atom_dict and charge != 0: + if 'E' in atom_dict: + electrons = atom_dict['E'] + if charge == 0 and electrons != 0: + logging.warning(f"Species {species} has {electrons} electrons but charge 0. " + f"Reporting {electrons} electrons in the Cantera YAML composition.") + elif electrons != -charge: + logging.warning(f"Species {species} has {electrons} electrons but charge {charge}. " + f"Reporting {-charge} electrons in the Cantera YAML composition.") + if charge != 0: atom_dict['E'] = -charge # Sort composition by atomic number diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 07488813481..db62040e53c 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -36,6 +36,7 @@ import pytest import yaml +from rmgpy.molecule import Atom, Molecule, get_element from rmgpy.species import Species from rmgpy.reaction import Reaction from rmgpy.kinetics import ( @@ -126,6 +127,40 @@ def test_species_to_dict_standard(self): assert np.isclose(d['transport']['well-depth'], 100.0) # Kelvin assert np.isclose(d['transport']['rotational-relaxation'], 1.0) + def test_species_to_dict_warns_and_uses_charge_for_explicit_electron_mismatch(self, caplog): + """ + Test that YAML species composition uses the net charge when explicit + electrons disagree. + """ + sp = self._create_dummy_species("H2", "[H][H]", index=1) + sp.label = "H2minus_with_one_electron" + sp.molecule = [Molecule(atoms=[ + Atom(element=get_element("H"), charge=-2, radical_electrons=0, lone_pairs=0), + Atom(element=get_element("e"), charge=0, radical_electrons=0, lone_pairs=0), + ])] + + d = species_to_dict(sp, [sp]) + + assert d["composition"]["E"] == 2 + assert "has 1 electrons but charge -2" in caplog.text + assert "Reporting 2 electrons in the Cantera YAML composition." in caplog.text + + def test_species_to_dict_uses_charge_when_electrons_unspecified(self, caplog): + """ + Test that YAML species composition uses the net charge without a warning + when no explicit electrons are present. + """ + sp = self._create_dummy_species("H2", "[H][H]", index=1) + sp.label = "Hminus" + sp.molecule = [Molecule(atoms=[ + Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0), + ])] + + d = species_to_dict(sp, [sp]) + + assert d["composition"]["E"] == 1 + assert "electrons but charge" not in caplog.text + def test_reaction_to_dict_arrhenius(self): """Test standard Arrhenius kinetics.""" r = self._create_dummy_species("R", "[CH2]O", index=1) From 585bafbde827aa12445bf23e9474be83dde1082a Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 09:44:16 -0400 Subject: [PATCH 617/700] Deduplicate CanteraYamlFileComparer into a shared test helper. yaml_cantera1Test.py and yaml_cantera2Test.py each carried a ~145-line copy of CanteraYamlFileComparer, a pytest fixture-based base class that asserts equivalence between two Cantera YAML files (generator, phases, elements, species composition/thermo/transport). Move the class into a new sibling helper module test/rmgpy/cantera_yaml_comparer.py and import it from both test files. Co-Authored-By: Claude Opus 4.7 (1M context) --- test/rmgpy/cantera_yaml_comparer.py | 189 ++++++++++++++++++++++++++++ test/rmgpy/yaml_cantera1Test.py | 152 +--------------------- test/rmgpy/yaml_cantera2Test.py | 149 +--------------------- 3 files changed, 191 insertions(+), 299 deletions(-) create mode 100644 test/rmgpy/cantera_yaml_comparer.py diff --git a/test/rmgpy/cantera_yaml_comparer.py b/test/rmgpy/cantera_yaml_comparer.py new file mode 100644 index 00000000000..7e73fcae922 --- /dev/null +++ b/test/rmgpy/cantera_yaml_comparer.py @@ -0,0 +1,189 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + +""" +Shared pytest base class for comparing two Cantera YAML files. + +Used by both yaml_cantera1Test.py and yaml_cantera2Test.py so that +comparison rules stay in lockstep across the two RMG Cantera writers. +""" + +import copy + +import pytest +import yaml + + +class CanteraYamlFileComparer: + """ + For comparing two Cantera YAML files. + This class provides methods to compare species and reactions between the two files. + + Args: + yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml. + yaml_path_2: Path to the second YAML file, written directly by RMG. + """ + yaml_path_1 = None + yaml_path_2 = None + + @pytest.fixture(autouse=True, scope="class") # loaded once per Class + def load_yaml_files(self, request): + """Load the two YAML files to be compared.""" + with open(request.cls.yaml_path_1, 'r') as file: + request.cls.yaml1 = yaml.safe_load(file) + with open(request.cls.yaml_path_2, 'r') as file: + request.cls.yaml2 = yaml.safe_load(file) + + @pytest.fixture(autouse=True) # runs before each test method + def copy_yaml_dicts(self): + """Make deep copies so tests can modify without affecting other tests.""" + self.yaml1 = copy.deepcopy(self.__class__.yaml1) + self.yaml2 = copy.deepcopy(self.__class__.yaml2) + + def testGeneratorsAsExpected(self): + "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." + assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." + assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG." + + def testKeysMatch(self): + """Test that the top-level keys in both YAML files match, except those expected not to.""" + # Remove keys unique to each generator. dict.pop(key, None) is a no-op + # when the key is absent, so it is safe to pop the union across both writers. + self.yaml1.pop('input-files', None) + self.yaml1.pop('cantera-version', None) + self.yaml1.pop('date', None) + self.yaml2.pop('cantera-version', None) + self.yaml2.pop('description', None) + for model in [self.yaml1, self.yaml2]: + for phase in model['phases']: + for reactions_block in phase.get('reactions', []): # for multi-phase mechanisms, reactions are under each phase + assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." + model.pop(reactions_block, None) # Remove reactions block to allow keys to match + assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." + + def testPhasesMatch(self): + """Test that the phase definitions in both YAML files match.""" + assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases" + + for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): + assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." + assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." + assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match." + assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match." + assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match." + assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." + # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). + assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." + assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." + + def testElementsMatch(self): + """Test that the element definitions in both YAML files match.""" + assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has an 'elements' block while the other does not." + ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol']) + # Put symbol into Titlecase to match ck2yaml's formatting + rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])] + rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) + # Compare symbols exactly, and atomic weights approximately + assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ + "YAML files have different element symbols." + assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx( + [e['atomic-weight'] for e in rmg_elements], abs=1e-3 + ), "YAML files have different element atomic weights." + + def testSpeciesMatch(self): + """Test that species definitions match between the two YAML files.""" + species1 = {s['name']: s for s in self.yaml1['species']} + species2 = {s['name']: s for s in self.yaml2['species']} + assert species1.keys() == species2.keys(), "Species names do not match." + + for name in species1: + s1 = species1[name] + s2 = species2[name] + + # Composition: ck2yaml uses int values, RMG uses float + assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \ + f"Composition mismatch for {name}." + + # Thermo model + assert s1['thermo']['model'] == s2['thermo']['model'], \ + f"Thermo model mismatch for {name}." + + # Temperature ranges and polynomial data + # ck2yaml may collapse single-polynomial NASA7 (e.g. Ar) into one range + # while RMG always writes two polynomials with a midpoint temperature. + t_ranges1 = s1['thermo'].get('temperature-ranges', []) + t_ranges2 = s2['thermo'].get('temperature-ranges', []) + data1 = s1['thermo'].get('data', []) + data2 = s2['thermo'].get('data', []) + + if len(t_ranges1) == 2 and len(t_ranges2) == 3: + # ck2yaml collapsed to single polynomial; RMG has two identical ones + assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \ + f"Temperature range lower bound mismatch for {name}." + assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \ + f"Temperature range upper bound mismatch for {name}." + assert len(data1) == 1 and len(data2) == 2, \ + f"Expected 1 vs 2 polynomials for collapsed species {name}." + assert data1[0] == pytest.approx(data2[0], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (low range)." + assert data1[0] == pytest.approx(data2[1], rel=1e-4), \ + f"Thermo polynomial mismatch for {name} (high range should match low)." + else: + assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \ + f"Temperature ranges mismatch for {name}." + assert len(data1) == len(data2), \ + f"Number of thermo polynomial ranges differs for {name}." + for i, (poly1, poly2) in enumerate(zip(data1, data2)): + assert poly1 == pytest.approx(poly2, rel=1e-4), \ + f"Thermo polynomial {i} mismatch for {name}." + + # Transport data + assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}." + if 'transport' in s1 and 'transport' in s2: + t1 = s1['transport'] + t2 = s2['transport'] + assert t1['model'] == t2['model'], f"Transport model mismatch for {name}." + assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}." + assert t1.get('well-depth', 0) == pytest.approx( + t2.get('well-depth', 0), rel=1e-3 + ), f"Transport well-depth mismatch for {name}." + assert t1.get('diameter', 0) == pytest.approx( + t2.get('diameter', 0), rel=1e-3 + ), f"Transport diameter mismatch for {name}." + assert t1.get('polarizability', 0) == pytest.approx( + t2.get('polarizability', 0), rel=1e-3 + ), f"Transport polarizability mismatch for {name}." + assert t1.get('dipole', 0) == pytest.approx( + t2.get('dipole', 0), rel=1e-3 + ), f"Transport dipole mismatch for {name}." + assert t1.get('rotational-relaxation', 0) == pytest.approx( + t2.get('rotational-relaxation', 0), rel=1e-3 + ), f"Transport rotational-relaxation mismatch for {name}." + assert t1.get('note', '') == t2.get('note', ''), \ + f"Transport note mismatch for {name}." diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index a066fcb9252..604f3e886a8 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -31,12 +31,11 @@ Tests for rmgpy.yaml_cantera1 module. """ -import copy import os import pytest import numpy as np -import yaml +from cantera_yaml_comparer import CanteraYamlFileComparer from rmgpy.species import Species from rmgpy.reaction import Reaction from rmgpy.thermo import NASA, NASAPolynomial @@ -552,155 +551,6 @@ def test_can_instantiate(self): writer = CanteraWriter1() assert writer is not None -class CanteraYamlFileComparer: - """ - For comparing two Cantera YAML files. - This class provides methods to compare species and reactions between the two files. - - Args: - yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml. - yaml_path_2: Path to the second YAML file, written directly by RMG. - """ - yaml_path_1 = None - yaml_path_2 = None - - @pytest.fixture(autouse=True, scope="class") # loaded once per Class - def load_yaml_files(self, request): - """Load the two YAML files to be compared.""" - with open(request.cls.yaml_path_1, 'r') as file: - request.cls.yaml1 = yaml.safe_load(file) - with open(request.cls.yaml_path_2, 'r') as file: - request.cls.yaml2 = yaml.safe_load(file) - - @pytest.fixture(autouse=True) # runs before each test method - def copy_yaml_dicts(self): - """Make deep copies so tests can modify without affecting other tests.""" - self.yaml1 = copy.deepcopy(self.__class__.yaml1) - self.yaml2 = copy.deepcopy(self.__class__.yaml2) - - def testGeneratorsAsExpected(self): - "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." - assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." - assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG." - - def testKeysMatch(self): - """Test that the top-level keys in both YAML files match, except those expected not to.""" - # Remove keys from ck2yaml output that are not present in RMG output - self.yaml1.pop('input-files', None) - self.yaml1.pop('cantera-version', None) - for model in [self.yaml1, self.yaml2]: - for phase in model['phases']: - for reactions_block in phase.get('reactions', []): # for multi-phase mechanisms, reactions are under each phase - assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." - model.pop(reactions_block, None) # Remove reactions block to allow keys to match - assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." - - def testPhasesMatch(self): - """Test that the phase definitions in both YAML files match.""" - assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases" - - for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): - assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." - assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." - assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match." - assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match." - assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match." - assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." - # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). - assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." - assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." - - def testElementsMatch(self): - """Test that the element definitions in both YAML files match.""" - assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has 'elements' block while the other does not." - ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol']) - # Put symbol into Titlecase to match ck2yaml's formatting - rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])] - # Sort by the 'symbol' key. - rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) - # Compare symbols exactly, and atomic weights approximately - assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ - "YAML files have different element symbols." - assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx( - [e['atomic-weight'] for e in rmg_elements], abs=1e-3 - ), "YAML files have different element atomic weights." - - def testSpeciesMatch(self): - """Test that species definitions match between the two YAML files.""" - species1 = {s['name']: s for s in self.yaml1['species']} - species2 = {s['name']: s for s in self.yaml2['species']} - assert species1.keys() == species2.keys(), "Species names do not match." - - for name in species1: - s1 = species1[name] - s2 = species2[name] - - # Composition: ck2yaml uses int values, RMG uses float - assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \ - f"Composition mismatch for {name}." - - # Thermo model - assert s1['thermo']['model'] == s2['thermo']['model'], \ - f"Thermo model mismatch for {name}." - - # Temperature ranges and polynomial data - # ck2yaml may collapse single-polynomial NASA7 (e.g. Ar) into one range - # while RMG always writes two polynomials with a midpoint temperature. - t_ranges1 = s1['thermo'].get('temperature-ranges', []) - t_ranges2 = s2['thermo'].get('temperature-ranges', []) - data1 = s1['thermo'].get('data', []) - data2 = s2['thermo'].get('data', []) - - if len(t_ranges1) == 2 and len(t_ranges2) == 3: - # ck2yaml collapsed to single polynomial; RMG has two identical ones - assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \ - f"Temperature range lower bound mismatch for {name}." - assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \ - f"Temperature range upper bound mismatch for {name}." - assert len(data1) == 1 and len(data2) == 2, \ - f"Expected 1 vs 2 polynomials for collapsed species {name}." - assert data1[0] == pytest.approx(data2[0], rel=1e-4), \ - f"Thermo polynomial mismatch for {name} (low range)." - assert data1[0] == pytest.approx(data2[1], rel=1e-4), \ - f"Thermo polynomial mismatch for {name} (high range should match low)." - else: - assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \ - f"Temperature ranges mismatch for {name}." - assert len(data1) == len(data2), \ - f"Number of thermo polynomial ranges differs for {name}." - for i, (poly1, poly2) in enumerate(zip(data1, data2)): - assert poly1 == pytest.approx(poly2, rel=1e-4), \ - f"Thermo polynomial {i} mismatch for {name}." - # Ideally thermo data would have notes. - - # RMG includes reference-pressure but ck2yaml does not (when it's non-default) - # (no assertion needed, just noting the known difference) - - # Transport data - assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}." - if 'transport' in s1 and 'transport' in s2: - t1 = s1['transport'] - t2 = s2['transport'] - assert t1['model'] == t2['model'], f"Transport model mismatch for {name}." - assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}." - assert t1.get('well-depth', 0) == pytest.approx( - t2.get('well-depth', 0), rel=1e-3 - ), f"Transport well-depth mismatch for {name}." - assert t1.get('diameter', 0) == pytest.approx( - t2.get('diameter', 0), rel=1e-3 - ), f"Transport diameter mismatch for {name}." - assert t1.get('polarizability', 0) == pytest.approx( - t2.get('polarizability', 0), rel=1e-3 - ), f"Transport polarizability mismatch for {name}." - assert t1.get('dipole', 0) == pytest.approx( - t2.get('dipole', 0), rel=1e-3 - ), f"Transport dipole mismatch for {name}." - assert t1.get('rotational-relaxation', 0) == pytest.approx( - t2.get('rotational-relaxation', 0), rel=1e-3 - ), f"Transport rotational-relaxation mismatch for {name}." - assert t1.get('note', '') == t2.get('note', ''), \ - f"Transport note mismatch for {name}." - @pytest.mark.skip(reason="These files are out of date and have been removed.") class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): """Tests for comparing previously written Cantera YAML files, gas-only mechanism. diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index db62040e53c..301c550a94f 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -29,13 +29,12 @@ import cantera as ct -import copy import os import shutil import numpy as np import pytest -import yaml +from cantera_yaml_comparer import CanteraYamlFileComparer from rmgpy.molecule import Atom, Molecule, get_element from rmgpy.species import Species from rmgpy.reaction import Reaction @@ -770,152 +769,6 @@ def test_species_to_dict_transport_note_always_present(self): assert d['transport']['note'] == "from GRI-Mech" -class CanteraYamlFileComparer: - """ - For comparing two Cantera YAML files. - This class provides methods to compare species and reactions between the two files. - - Args: - yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml. - yaml_path_2: Path to the second YAML file, written directly by RMG. - """ - yaml_path_1 = None - yaml_path_2 = None - - @pytest.fixture(autouse=True, scope="class") # loaded once per Class - def load_yaml_files(self, request): - """Load the two YAML files to be compared.""" - with open(request.cls.yaml_path_1, 'r') as file: - request.cls.yaml1 = yaml.safe_load(file) - with open(request.cls.yaml_path_2, 'r') as file: - request.cls.yaml2 = yaml.safe_load(file) - - @pytest.fixture(autouse=True) # runs before each test method - def copy_yaml_dicts(self): - """Make deep copies so tests can modify without affecting other tests.""" - self.yaml1 = copy.deepcopy(self.__class__.yaml1) - self.yaml2 = copy.deepcopy(self.__class__.yaml2) - - def testGeneratorsAsExpected(self): - "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)." - assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml." - assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG." - - def testKeysMatch(self): - """Test that the top-level keys in both YAML files match, except those expected not to.""" - # Remove keys unique to each generator - self.yaml1.pop('input-files', None) - self.yaml1.pop('cantera-version', None) - self.yaml1.pop('date', None) - self.yaml2.pop('cantera-version', None) - self.yaml2.pop('description', None) - for model in [self.yaml1, self.yaml2]: - for phase in model['phases']: - for reactions_block in phase.get('reactions', []): - assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." - model.pop(reactions_block, None) - assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." - - def testPhasesMatch(self): - """Test that the phase definitions in both YAML files match.""" - assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases" - - for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']): - assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}." - assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match." - assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match." - assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match." - assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match." - assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match." - # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi). - assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match." - assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match." - - def testElementsMatch(self): - """Test that the element definitions in both YAML files match.""" - assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has an 'elements' block while the other does not." - ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol']) - # Put symbol into Titlecase to match ck2yaml's formatting - rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])] - rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol']) - # Compare symbols exactly, and atomic weights approximately - assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \ - "YAML files have different element symbols." - assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx( - [e['atomic-weight'] for e in rmg_elements], abs=1e-3 - ), "YAML files have different element atomic weights." - - def testSpeciesMatch(self): - """Test that species definitions match between the two YAML files.""" - species1 = {s['name']: s for s in self.yaml1['species']} - species2 = {s['name']: s for s in self.yaml2['species']} - assert species1.keys() == species2.keys(), "Species names do not match." - - for name in species1: - s1 = species1[name] - s2 = species2[name] - - # Composition: ck2yaml uses int values, RMG uses float - assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \ - f"Composition mismatch for {name}." - - # Thermo model - assert s1['thermo']['model'] == s2['thermo']['model'], \ - f"Thermo model mismatch for {name}." - - # Temperature ranges and polynomial data - t_ranges1 = s1['thermo'].get('temperature-ranges', []) - t_ranges2 = s2['thermo'].get('temperature-ranges', []) - data1 = s1['thermo'].get('data', []) - data2 = s2['thermo'].get('data', []) - - if len(t_ranges1) == 2 and len(t_ranges2) == 3: - # ck2yaml collapsed to single polynomial; RMG has two identical ones - assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \ - f"Temperature range lower bound mismatch for {name}." - assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \ - f"Temperature range upper bound mismatch for {name}." - assert len(data1) == 1 and len(data2) == 2, \ - f"Expected 1 vs 2 polynomials for collapsed species {name}." - assert data1[0] == pytest.approx(data2[0], rel=1e-4), \ - f"Thermo polynomial mismatch for {name} (low range)." - assert data1[0] == pytest.approx(data2[1], rel=1e-4), \ - f"Thermo polynomial mismatch for {name} (high range should match low)." - else: - assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \ - f"Temperature ranges mismatch for {name}." - assert len(data1) == len(data2), \ - f"Number of thermo polynomial ranges differs for {name}." - for i, (poly1, poly2) in enumerate(zip(data1, data2)): - assert poly1 == pytest.approx(poly2, rel=1e-4), \ - f"Thermo polynomial {i} mismatch for {name}." - - # Transport data - assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}." - if 'transport' in s1 and 'transport' in s2: - t1 = s1['transport'] - t2 = s2['transport'] - assert t1['model'] == t2['model'], f"Transport model mismatch for {name}." - assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}." - assert t1.get('well-depth', 0) == pytest.approx( - t2.get('well-depth', 0), rel=1e-3 - ), f"Transport well-depth mismatch for {name}." - assert t1.get('diameter', 0) == pytest.approx( - t2.get('diameter', 0), rel=1e-3 - ), f"Transport diameter mismatch for {name}." - assert t1.get('polarizability', 0) == pytest.approx( - t2.get('polarizability', 0), rel=1e-3 - ), f"Transport polarizability mismatch for {name}." - assert t1.get('dipole', 0) == pytest.approx( - t2.get('dipole', 0), rel=1e-3 - ), f"Transport dipole mismatch for {name}." - assert t1.get('rotational-relaxation', 0) == pytest.approx( - t2.get('rotational-relaxation', 0), rel=1e-3 - ), f"Transport rotational-relaxation mismatch for {name}." - assert t1.get('note', '') == t2.get('note', ''), \ - f"Transport note mismatch for {name}." - - class TestRecentlyGeneratedCanteraYaml2GasOnly(CanteraYamlFileComparer): """Tests for comparing recently generated Cantera YAML files from cantera2, gas-only mechanism. From d6bd5e276ff87782bce6663b6eb6514410766e76 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 10:14:17 -0400 Subject: [PATCH 618/700] Harden the TestRecentlyGeneratedCanteraYaml*GasOnly tests. If we can't find the test files: 1. if the functional test that should have made them has been collected, e.g. you're running `make test-all` or in the CI runner, then this counts as a failure. 2. if the test that should have made them has not been collected, e.g. you're just running this test on its own, or with `make test` then just mark the test as a "skip" and don't fail. --- test/rmgpy/yaml_cantera1Test.py | 38 +++++++++++++++++++++------------ test/rmgpy/yaml_cantera2Test.py | 33 ++++++++++++++++++---------- 2 files changed, 46 insertions(+), 25 deletions(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 604f3e886a8..5f76e0b34fa 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -562,7 +562,7 @@ class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem37.yaml') -class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): +class TestRecentlyGeneratedCanteraYaml1GasOnly(CanteraYamlFileComparer): """Tests for comparing recently generated Cantera YAML files, gas-only mechanism. These are generated on the fly in the mainTest.py functional test and stored in the testing data directory. @@ -571,20 +571,30 @@ class TestRecentlyGeneratedCanteraYamlGasOnly(CanteraYamlFileComparer): @pytest.fixture(autouse=True, scope="class") def find_recent_files(self, request): - """Find the YAML files generated by mainTest.""" - cantera_dir = os.path.join(self.test_data_folder, 'cantera1') - chemkin_dir = os.path.join(self.test_data_folder, 'ck2yaml') - - if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): - pytest.skip("YAML test data directories not found. Run mainTest first.") - - # Look for specifically named files from mainTest - cantera_file = os.path.join(cantera_dir, 'from_main_test.yaml') - chemkin_file = os.path.join(chemkin_dir, 'from_main_test.yaml') - - if not os.path.exists(cantera_file) or not os.path.exists(chemkin_file): + """ + Find the YAML files generated by mainTest. + """ + cantera_file = os.path.join(self.test_data_folder, 'cantera1', 'from_main_test.yaml') + chemkin_file = os.path.join(self.test_data_folder, 'ck2yaml', 'from_main_test.yaml') + + if not (os.path.exists(cantera_file) and os.path.exists(chemkin_file)): + # If mainTest's copy step was collected for this pytest session but the + # files are still missing, treat that as a failure rather than a skip — + # it means mainTest ran but didn't produce the expected output. + # (if using pytest-randomly or pytest-ordering to reorder them this will need altering). + main_test_collected = any( + item.name == "test_cantera_input_files_match_chemkin_later" + for item in request.session.items + ) + if main_test_collected: + pytest.fail( + "from_main_test.yaml files missing even though mainTest's " + "copy step was collected — it likely failed before copying." + ) + # If mainTest wasn't collected, it's likely that we're running this test + # in isolation, so skip without failing. pytest.skip("from_main_test.yaml files not found. Run mainTest first.") - + request.cls.yaml_path_1 = chemkin_file request.cls.yaml_path_2 = cantera_file diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py index 301c550a94f..73c673bc8e3 100644 --- a/test/rmgpy/yaml_cantera2Test.py +++ b/test/rmgpy/yaml_cantera2Test.py @@ -778,17 +778,28 @@ class TestRecentlyGeneratedCanteraYaml2GasOnly(CanteraYamlFileComparer): @pytest.fixture(autouse=True, scope="class") def find_recent_files(self, request): - """Find the YAML files generated by mainTest.""" - cantera_dir = os.path.join(self.test_data_folder, 'cantera2') - chemkin_dir = os.path.join(self.test_data_folder, 'ck2yaml') - - if not os.path.exists(cantera_dir) or not os.path.exists(chemkin_dir): - pytest.skip("YAML test data directories not found. Run mainTest first.") - - cantera_file = os.path.join(cantera_dir, 'from_main_test.yaml') - chemkin_file = os.path.join(chemkin_dir, 'from_main_test.yaml') - - if not os.path.exists(cantera_file) or not os.path.exists(chemkin_file): + """ + Find the YAML files generated by mainTest. + """ + cantera_file = os.path.join(self.test_data_folder, 'cantera2', 'from_main_test.yaml') + chemkin_file = os.path.join(self.test_data_folder, 'ck2yaml', 'from_main_test.yaml') + + if not (os.path.exists(cantera_file) and os.path.exists(chemkin_file)): + # If mainTest's copy step was collected for this pytest session but the + # files are still missing, treat that as a failure rather than a skip — + # it means mainTest ran but didn't produce the expected output. + # (if using pytest-randomly or pytest-ordering to reorder them this will need altering). + main_test_collected = any( + item.name == "test_cantera_input_files_match_chemkin_later" + for item in request.session.items + ) + if main_test_collected: + pytest.fail( + "from_main_test.yaml files missing even though mainTest's " + "copy step was collected — it likely failed before copying." + ) + # If mainTest wasn't collected, it's likely that we're running this test + # in isolation, so skip without failing. pytest.skip("from_main_test.yaml files not found. Run mainTest first.") request.cls.yaml_path_1 = chemkin_file From a140ce22c747b593ae4e4eae367b45305c2574ac Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 10:17:11 -0400 Subject: [PATCH 619/700] Remove some defunct outdated tests. --- test/rmgpy/yaml_cantera1Test.py | 33 +++++++++++++-------------------- 1 file changed, 13 insertions(+), 20 deletions(-) diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py index 5f76e0b34fa..f5c6e761f85 100644 --- a/test/rmgpy/yaml_cantera1Test.py +++ b/test/rmgpy/yaml_cantera1Test.py @@ -551,16 +551,6 @@ def test_can_instantiate(self): writer = CanteraWriter1() assert writer is not None -@pytest.mark.skip(reason="These files are out of date and have been removed.") -class TestPreviouslyWrittenCanteraYamlGasOnly(CanteraYamlFileComparer): - """Tests for comparing previously written Cantera YAML files, gas-only mechanism. - - These are stored in the testing data directory. - """ - test_data_folder='test/rmgpy/test_data/yaml_writer_data/' - # generated on the fly in recent functional test - yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem37.yaml') class TestRecentlyGeneratedCanteraYaml1GasOnly(CanteraYamlFileComparer): """Tests for comparing recently generated Cantera YAML files, gas-only mechanism. @@ -598,13 +588,16 @@ def find_recent_files(self, request): request.cls.yaml_path_1 = chemkin_file request.cls.yaml_path_2 = cantera_file -@pytest.mark.skip(reason="These files are out of date and have been removed.") -class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): - """Tests for comparing previously written Cantera YAML files, with surface mechanism. - - These are stored in the testing data directory. - """ - test_data_folder='test/rmgpy/test_data/yaml_writer_data/' - # saved by Prosper in earlier commit - yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml') - yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem47.yaml') +# This is kept here as an example of how to write a test comparing previously generated YAML files, +# but the files themselves are now out of date and have been removed, +# so the test is skipped and the class is commented out to avoid confusion. +# @pytest.mark.skip(reason="These files are out of date and have been removed.") +# class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer): +# """Tests for comparing previously written Cantera YAML files. + +# These are stored in the testing data directory. +# """ +# test_data_folder='test/rmgpy/test_data/yaml_writer_data/' +# # saved by Prosper in earlier commit +# yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem1.yaml') +# yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem1.yaml') From e14b7c72f1b46a59950c7ec9a4c5a7500bc35f74 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 22 May 2026 13:34:18 -0400 Subject: [PATCH 620/700] Fix testKeysMatch: pop header metadata from both yamls, not just yaml1. The previous union-of-pops version stripped 'date' only from ck2yaml output. Writer 1 also emits a 'date' header line so writer 1's date survived on yaml2, producing a spurious key mismatch. Switch to popping every known header field from both yamls in one loop. Also expand the assertion message to print the symmetric-difference key sets, so any future mismatch is self-diagnosing. Co-Authored-By: Claude Opus 4.7 (1M context) --- test/rmgpy/cantera_yaml_comparer.py | 23 +++++++++++++++-------- 1 file changed, 15 insertions(+), 8 deletions(-) diff --git a/test/rmgpy/cantera_yaml_comparer.py b/test/rmgpy/cantera_yaml_comparer.py index 7e73fcae922..4a4a438cd49 100644 --- a/test/rmgpy/cantera_yaml_comparer.py +++ b/test/rmgpy/cantera_yaml_comparer.py @@ -73,19 +73,26 @@ def testGeneratorsAsExpected(self): def testKeysMatch(self): """Test that the top-level keys in both YAML files match, except those expected not to.""" - # Remove keys unique to each generator. dict.pop(key, None) is a no-op - # when the key is absent, so it is safe to pop the union across both writers. - self.yaml1.pop('input-files', None) - self.yaml1.pop('cantera-version', None) - self.yaml1.pop('date', None) - self.yaml2.pop('cantera-version', None) - self.yaml2.pop('description', None) + # Strip header metadata that any of {ck2yaml, writer 1, writer 2} emits but + # the others don't. Popping from both yamls (dict.pop(key, None) is a no-op + # when absent) avoids per-writer special-casing and stays correct if a + # writer later adds or drops one of these fields. + metadata_keys = ('input-files', 'cantera-version', 'date', 'description') + for key in metadata_keys: + self.yaml1.pop(key, None) + self.yaml2.pop(key, None) for model in [self.yaml1, self.yaml2]: for phase in model['phases']: for reactions_block in phase.get('reactions', []): # for multi-phase mechanisms, reactions are under each phase assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file." model.pop(reactions_block, None) # Remove reactions block to allow keys to match - assert self.yaml1.keys() == self.yaml2.keys(), "YAML files have different top-level keys." + only_in_yaml1 = set(self.yaml1) - set(self.yaml2) + only_in_yaml2 = set(self.yaml2) - set(self.yaml1) + assert not (only_in_yaml1 or only_in_yaml2), ( + f"YAML files have different top-level keys. " + f"Only in yaml1 (ck2yaml): {sorted(only_in_yaml1)}; " + f"only in yaml2 (RMG): {sorted(only_in_yaml2)}." + ) def testPhasesMatch(self): """Test that the phase definitions in both YAML files match.""" From 039d237e7c1f7c2ac7b03bff92f5e23e46910566 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 29 May 2026 09:41:03 -0400 Subject: [PATCH 621/700] Reset solvent database in liquidTest teardown --- test/rmgpy/solver/liquidTest.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/test/rmgpy/solver/liquidTest.py b/test/rmgpy/solver/liquidTest.py index 1dc2c5eb2af..54504d687af 100644 --- a/test/rmgpy/solver/liquidTest.py +++ b/test/rmgpy/solver/liquidTest.py @@ -633,6 +633,8 @@ def teardown_class(cls): import rmgpy.data.rmg + rmgpy.rmg.main.solvent = None + rmgpy.data.rmg.database = None try: os.remove(os.path.join(cls.file_dir, "restart_from_seed.py")) From 7cbb7857d565eb3a58a340df9690e2a7061c7ab9 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 1 Jun 2026 11:30:12 -0400 Subject: [PATCH 622/700] modify max_heavy_atoms constraint --- rmgpy/constraints.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index f46f457c59e..81e65aa4f08 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -113,7 +113,7 @@ def fails_species_constraints(species): max_heavy_atoms = species_constraints.get('maximumHeavyAtoms', -1) if max_heavy_atoms != -1: - heavy_atoms = struct.get_num_atoms() - struct.get_num_atoms('H') + heavy_atoms = struct.get_num_atoms() - struct.get_num_atoms('H') - struct.get_num_atoms('X') if heavy_atoms > max_heavy_atoms: return f"Exceeded maximumHeavyAtoms: {heavy_atoms} > {max_heavy_atoms}" From 74edcabc60c60ccbc11a758dea293a569b6ea24d Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 1 Jun 2026 12:13:50 -0400 Subject: [PATCH 623/700] Add get_num_heavy_atoms method to Molecule and Fragment Add a get_num_heavy_atoms method that returns the number of atoms that are neither Hydrogen ('H') nor a surface site ('X'). The Molecule version is cythonized and the Fragment override additionally skips CuttingLabel vertices. Unit tests are added for both classes. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/molecule/fragment.py | 14 ++++++++++ rmgpy/molecule/molecule.pxd | 2 ++ rmgpy/molecule/molecule.py | 12 +++++++++ test/rmgpy/molecule/fragmentTest.py | 6 +++++ test/rmgpy/molecule/moleculeTest.py | 42 +++++++++++++++++++++++++++++ 5 files changed, 76 insertions(+) diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index fd2563bd331..11643376a2b 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -761,6 +761,20 @@ def get_num_atoms(self, element=None): num_atoms += 1 return num_atoms + def get_num_heavy_atoms(self): + """ + Return the number of heavy atoms in the fragment, i.e. the number of + atoms that are not Hydrogen ('H') nor a surface site ('X'). Cutting + labels are not counted. + """ + num_atoms = 0 + for vertex in self.vertices: + if isinstance(vertex, CuttingLabel): + continue + if vertex.element.symbol != 'H' and vertex.element.symbol != 'X': + num_atoms += 1 + return num_atoms + # extension methods def from_rdkit_mol(self, rdkitmol, atom_replace_dict=None): """ diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index aa7abd5da0d..1b62af07d76 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -230,6 +230,8 @@ cdef class Molecule(Graph): cpdef int get_num_atoms(self, str element=?) + cpdef int get_num_heavy_atoms(self) + cpdef Graph copy(self, bint deep=?) cpdef Molecule to_single_bonds(self, bint raise_atomtype_exception=?) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 095161bb75b..8cf2ddca7d4 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1408,6 +1408,18 @@ def get_num_atoms(self, element=None): num_atoms += 1 return num_atoms + def get_num_heavy_atoms(self): + """ + Return the number of heavy atoms in the molecule, i.e. the number of + atoms that are not Hydrogen ('H') nor a surface site ('X'). + """ + cython.declare(num_atoms=cython.int, atom=Atom) + num_atoms = 0 + for atom in self.vertices: + if atom.element.symbol != 'H' and atom.element.symbol != 'X': + num_atoms += 1 + return num_atoms + def copy(self, deep=False): """ Create a copy of the current graph. If `deep` is ``True``, a deep copy diff --git a/test/rmgpy/molecule/fragmentTest.py b/test/rmgpy/molecule/fragmentTest.py index 5f59efd6a39..2c9092051e3 100644 --- a/test/rmgpy/molecule/fragmentTest.py +++ b/test/rmgpy/molecule/fragmentTest.py @@ -605,6 +605,12 @@ def test_fragment_get_num_atoms(self): assert fragment.get_num_atoms(element="C") == 2 assert fragment.get_num_atoms(element="H") == 4 + def test_fragment_get_num_heavy_atoms(self): + # [CH2]CR has 2 heavy atoms (C), 3 H, and 1 cutting label (R) + fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("[CH2]CR") + + assert fragment.get_num_heavy_atoms() == 2 + def test_fragment_to_smiles(self): adj = """1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 R u0 p0 c0 {1,S} diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 2c3896148de..5ece70da6a8 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -2139,6 +2139,48 @@ def test_surface_molecules(self): assert adsorbed.number_of_surface_sites() == 1 assert bidentate.number_of_surface_sites() == 2 + def test_get_num_heavy_atoms(self): + """ + Test the Molecule.get_num_heavy_atoms() method, which counts atoms + that are not Hydrogen ('H') nor a surface site ('X'). + """ + # gas-phase molecule: ethane, 2 heavy atoms (C), 6 H + ethane = Molecule(smiles="CC") + assert ethane.get_num_heavy_atoms() == 2 + + # water: 1 heavy atom (O), 2 H + water = Molecule(smiles="O") + assert water.get_num_heavy_atoms() == 1 + + # lone surface site has no heavy atoms + surface_site = Molecule().from_adjacency_list( + """ + 1 X u0 p0 c0 + """ + ) + assert surface_site.get_num_heavy_atoms() == 0 + + # adsorbed H on a surface site: neither H nor X is heavy + adsorbed = Molecule().from_adjacency_list( + """ + 1 H u0 p0 c0 {2,S} + 2 X u0 p0 c0 {1,S} + """ + ) + assert adsorbed.get_num_heavy_atoms() == 0 + + # bidentate adsorbate: 2 carbons are heavy, the H and X atoms are not + bidentate = Molecule().from_adjacency_list( + """ + 1 C u0 p0 c0 {2,D} {3,S} {4,S} + 2 C u0 p0 c0 {1,D} {5,S} {6,S} + 3 H u0 p0 c0 {1,S} + 4 X u0 p0 c0 {1,S} + 5 H u0 p0 c0 {2,S} + 6 X u0 p0 c0 {2,S} + """) + assert bidentate.get_num_heavy_atoms() == 2 + def test_is_multidentate(self): """ Test that we can identify a multidentate adsorbate From be1b04ccc806abab3b329dba777e01fe59a402f3 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 1 Jun 2026 12:18:27 -0400 Subject: [PATCH 624/700] Use get_num_heavy_atoms in fails_species_constraints Replace the inline heavy-atom computation (total atoms minus H minus X) in the maximumHeavyAtoms check with the new Molecule.get_num_heavy_atoms method. Behavior is unchanged, but the intent is clearer and the logic is shared with Fragment. Extend test_heavy_constraint to assert the heavy-atom counts directly and to cover an adsorbate, confirming that hydrogens and surface sites ('X') are excluded from the count. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/constraints.py | 5 ++--- test/rmgpy/constraintsTest.py | 23 +++++++++++++++++++++++ 2 files changed, 25 insertions(+), 3 deletions(-) diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index 81e65aa4f08..26f6a1322fb 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -113,9 +113,8 @@ def fails_species_constraints(species): max_heavy_atoms = species_constraints.get('maximumHeavyAtoms', -1) if max_heavy_atoms != -1: - heavy_atoms = struct.get_num_atoms() - struct.get_num_atoms('H') - struct.get_num_atoms('X') - if heavy_atoms > max_heavy_atoms: - return f"Exceeded maximumHeavyAtoms: {heavy_atoms} > {max_heavy_atoms}" + if struct.get_num_heavy_atoms() > max_heavy_atoms: + return f"Exceeded maximumHeavyAtoms: {struct.get_num_heavy_atoms()} > {max_heavy_atoms}" max_surface_sites = species_constraints.get('maximumSurfaceSites', -1) if max_surface_sites != -1: diff --git a/test/rmgpy/constraintsTest.py b/test/rmgpy/constraintsTest.py index 83097d26d60..0819555f80b 100644 --- a/test/rmgpy/constraintsTest.py +++ b/test/rmgpy/constraintsTest.py @@ -234,13 +234,36 @@ def test_surface_bond_order_constraint(self): def test_heavy_constraint(self): """ Test that we can constrain the max number of heavy atoms. + + Hydrogens and surface sites ('X') are not counted as heavy atoms. """ mol1 = Molecule(smiles="CCO") + assert mol1.get_num_heavy_atoms() == 3 assert not fails_species_constraints(mol1) mol2 = Molecule(smiles="CCN=O") + assert mol2.get_num_heavy_atoms() == 4 assert fails_species_constraints(mol2) + # An adsorbate: neither the hydrogens nor the surface site 'X' are + # heavy atoms, so this ethoxy fragment has only 3 heavy atoms + # (2 C + 1 O) and passes the maximumHeavyAtoms=3 constraint. + adsorbate = Molecule().from_adjacency_list( + """ +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {7,S} {8,S} +3 O u0 p2 c0 {2,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,S} +""" + ) + assert adsorbate.get_num_heavy_atoms() == 3 + assert not fails_species_constraints(adsorbate) + def test_radical_constraint(self): """ Test that we can constrain the max number of radical electrons. From 53a60525eeae00e0f3ba431790ea67fee43090bf Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 1 Jun 2026 12:43:44 -0400 Subject: [PATCH 625/700] Avoid calling fails_species_constraints twice on rejection We called fails_species_constraints in the `if` condition and then again to retrieve the `reason` string for the exception message. Since the function already returns either False or the reason string, store the result once and branch on it. This halves the constraint-checking work on the rejection path (the expensive path, where a failing check actually runs) with no change in behavior. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/data/kinetics/family.py | 4 ++-- rmgpy/rmg/main.py | 4 ++-- rmgpy/rmg/model.py | 8 ++++---- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 506b4e915f5..e181ae99e44 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1655,8 +1655,8 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab for struct in product_structures: if self.is_molecule_forbidden(struct): raise ForbiddenStructureException() - if fails_species_constraints(struct): - reason = fails_species_constraints(struct) + reason = fails_species_constraints(struct) + if reason: raise ForbiddenStructureException( "Species constraints forbids product species {0}. Please " "reformulate constraints, or explicitly " diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index 3d70b70876b..e0ac413b91f 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -734,11 +734,11 @@ def initialize(self, **kwargs): "Input species {0} is globally forbidden. You may explicitly " "allow it by adding 'input species' to the `generatedSpeciesConstraints` `allowed` list.".format(spec.label) ) - if fails_species_constraints(spec): + reason = fails_species_constraints(spec) + if reason: if "allowed" in self.species_constraints and "input species" in self.species_constraints["allowed"]: self.species_constraints["explicitlyAllowedMolecules"].append(spec.molecule[0]) else: - reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids input species {0}. Please " "reformulate constraints, remove the species, or explicitly " diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index e54c3e0805f..c6ed0826f5a 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -1739,11 +1739,11 @@ def add_seed_mechanism_to_core(self, seed_mechanism, react=False, requires_rms=F "found in a seed mechanism or reaction " "library.".format(spec.label, seed_mechanism.label) ) - if fails_species_constraints(spec): + reason = fails_species_constraints(spec) + if reason: if "allowed" in rmg.species_constraints and "seed mechanisms" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: - reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids species {0} from seed mechanism {1}." " Please reformulate constraints, remove the species, or" @@ -1867,11 +1867,11 @@ def add_reaction_library_to_edge(self, reaction_library, requires_rms=False): "inert unless found in a seed mechanism or reaction " "library.".format(spec.label, reaction_library.label) ) - if fails_species_constraints(spec): + reason = fails_species_constraints(spec) + if reason: if "allowed" in rmg.species_constraints and "reaction libraries" in rmg.species_constraints["allowed"]: rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule) else: - reason = fails_species_constraints(spec) raise ForbiddenStructureException( "Species constraints forbids species {0} from reaction library " "{1}. Please reformulate constraints, remove the species, or " From f5f348ac89013e455e7265651114d6cf118f98e1 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 1 Jun 2026 21:46:08 -0400 Subject: [PATCH 626/700] add generate_reverse_reaction function --- rmgpy/reaction.pxd | 2 ++ rmgpy/reaction.py | 9 +++++++++ 2 files changed, 11 insertions(+) diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd index c6c8b35601c..d894d379ada 100644 --- a/rmgpy/reaction.pxd +++ b/rmgpy/reaction.pxd @@ -155,5 +155,7 @@ cdef class Reaction: cpdef get_mean_sigma_and_epsilon(self, bint reverse=?) + cpdef get_reverse_reaction(self) + cpdef bint same_species_lists(list list1, list list2, bint check_identical=?, bint only_check_label=?, bint generate_initial_map=?, bint strict=?, bint save_order=?) except -2 diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 229545f3c91..9c2eda4655f 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1841,6 +1841,15 @@ def generate_high_p_limit_kinetics(self): """ raise NotImplementedError("generate_high_p_limit_kinetics is not implemented for all Reaction subclasses.") + def get_reverse_reaction(self): + assert self.kinetics is not None + rev_reaction = deepcopy(self) + tmp_reactants = rev_reaction.reactants + rev_reaction.reactants = rev_reaction.products + rev_reaction.products = tmp_reactants + rev_reaction.kinetics = self.generate_reverse_rate_coefficient() + return rev_reaction + def _same_object(object1, object2, _check_identical=False, _only_check_label=False, _generate_initial_map=False, _strict=True, _save_order=False): if _only_check_label: From 9fe250d557b4e15fece5a72973133bc848e516c3 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 1 Jun 2026 21:49:17 -0400 Subject: [PATCH 627/700] add function to flip reactions in model.py --- rmgpy/rmg/model.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index c6ed0826f5a..e2ff5b6033e 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -50,6 +50,7 @@ from rmgpy.display import display from rmgpy.exceptions import ForbiddenStructureException from rmgpy.kinetics import Arrhenius, KineticsData +from rmgpy.kinetics.surface import StickingCoefficient from rmgpy.molecule.fragment import Fragment from rmgpy.molecule.group import Group from rmgpy.quantity import Quantity @@ -631,6 +632,14 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, # we need to make sure the barrier is positive. forward.fix_barrier_height(force_positive=True,solvent="") + # If any product has thermo_coverage_dependence, flip the reaction + # and parameterize in the reverse direction + if (any(getattr(spc.thermo, 'thermo_coverage_dependence', None) and spc.thermo.thermo_coverage_dependence for + spc in forward.products) and not isinstance(forward.kinetics, StickingCoefficient)): + forward = Reaction.get_reverse_reaction(forward) + logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", + forward) + # Since the reaction is new, add it to the list of new reactions self.new_reaction_list.append(forward) From 3950756ba3ced8bad96a91550121c1e157cc87ad Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 1 Jun 2026 21:59:51 -0400 Subject: [PATCH 628/700] fix isomorphism issue by using make_new_species on reactants and products --- rmgpy/rmg/model.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index e2ff5b6033e..ac4410a18a9 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -637,6 +637,10 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, if (any(getattr(spc.thermo, 'thermo_coverage_dependence', None) and spc.thermo.thermo_coverage_dependence for spc in forward.products) and not isinstance(forward.kinetics, StickingCoefficient)): forward = Reaction.get_reverse_reaction(forward) + forward.reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] for reactant in + forward.reactants] + forward.products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] for product in + forward.products] logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", forward) From 8137a2de06de66f6a1cb1ea8ab032b82ceb7e540 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 1 Jun 2026 22:08:44 -0400 Subject: [PATCH 629/700] increase efficiency in get_reverse_reaction --- rmgpy/reaction.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 9c2eda4655f..4068db9f2dd 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1842,11 +1842,13 @@ def generate_high_p_limit_kinetics(self): raise NotImplementedError("generate_high_p_limit_kinetics is not implemented for all Reaction subclasses.") def get_reverse_reaction(self): + + cython.declare(rev_reaction=Reaction) + assert self.kinetics is not None - rev_reaction = deepcopy(self) - tmp_reactants = rev_reaction.reactants - rev_reaction.reactants = rev_reaction.products - rev_reaction.products = tmp_reactants + rev_reaction = self.copy() + rev_reaction.reactants = self.products[:] + rev_reaction.products = self.reactants[:] rev_reaction.kinetics = self.generate_reverse_rate_coefficient() return rev_reaction From bcf4a8c1710a3e3a4843d4405560e67da5339e4a Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 07:31:11 -0400 Subject: [PATCH 630/700] create function compute_thermo_coverage_corrections --- rmgpy/solver/surface.pyx | 35 +++++++++++++++++++---------------- 1 file changed, 19 insertions(+), 16 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 22272c4bf07..ca9a48c5f46 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -417,6 +417,24 @@ cdef class SurfaceReactor(ReactionSystem): bimolecular_threshold_rate_constant, trimolecular_threshold_rate_constant) + def compute_thermo_coverage_corrections(self, coverages): + coverages_squared = coverages * coverages + temperature_scaled_coverages = -self.T.value_si * coverages + thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) + thermo_dep_coverage[0, :] = coverages + thermo_dep_coverage[1, :] = coverages_squared + thermo_dep_coverage[2, :] = coverages_squared * coverages + thermo_dep_coverage[3, :] = temperature_scaled_coverages + thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages + thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared + free_energy_coverage_corrections = np.empty(len(self.thermo_coeff_matrix), dtype=np.float64) + for i, matrix in enumerate(self.thermo_coeff_matrix): + free_energy_coverage_corrections[i] = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() + rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections) + corrected_K_eq = copy.deepcopy(self.Keq) + corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) + return corrected_K_eq + @cython.boundscheck(False) def residual(self, double t, @@ -491,22 +509,7 @@ cdef class SurfaceReactor(ReactionSystem): # Thermodynamic coverage dependence if self.thermo_coverage_dependence: - coverages_squared = coverages * coverages - temperature_scaled_coverages = -self.T.value_si * coverages - thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) - thermo_dep_coverage[0, :] = coverages - thermo_dep_coverage[1, :] = coverages_squared - thermo_dep_coverage[2, :] = coverages_squared * coverages - thermo_dep_coverage[3, :] = temperature_scaled_coverages - thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages - thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared - free_energy_coverage_corrections = np.empty(len(self.thermo_coeff_matrix), dtype=np.float64) - for i, matrix in enumerate(self.thermo_coeff_matrix): - free_energy_coverage_corrections[i] = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() - rxns_free_energy_change = np.matmul(self.stoi_matrix,free_energy_coverage_corrections) - corrected_K_eq = copy.deepcopy(self.Keq) - corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) - kr = kf / corrected_K_eq + kr = kf / self.compute_thermo_coverage_corrections(coverages) # Coverage dependence coverage_corrections = np.ones_like(kf, float) From bdfc180c2871a3a772407938c190e02fa534c0b3 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 07:35:13 -0400 Subject: [PATCH 631/700] use coverage dependent kr in jacobian --- rmgpy/solver/surface.pyx | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index ca9a48c5f46..43fa42b92e6 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -719,6 +719,15 @@ cdef class SurfaceReactor(ReactionSystem): for j in range(num_core_species): C[j] = y[j] * inv_omega[j] + if self.thermo_coverage_dependence: + total_sites = self.surface_site_density.value_si * A + coverages = np.where(self.species_on_surface[:num_core_species], + np.maximum(y[:num_core_species] / total_sites, 0.0), + 0.0) + kr = kf / self.compute_thermo_coverage_corrections(coverages) + else: + kr = self.kb + for j in range(num_core_reactions): # ------------------------------------------------------------------ From 410dd4b214da5830e6d89ea19a6775250242fa44 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 07:37:19 -0400 Subject: [PATCH 632/700] remove deepcopy of Keq --- rmgpy/solver/surface.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 43fa42b92e6..aea60ddeb31 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -431,7 +431,7 @@ cdef class SurfaceReactor(ReactionSystem): for i, matrix in enumerate(self.thermo_coeff_matrix): free_energy_coverage_corrections[i] = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections) - corrected_K_eq = copy.deepcopy(self.Keq) + corrected_K_eq = self.Keq.copy() corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) return corrected_K_eq From 4330d50faa402b25a8380968439d0af24f0e07a6 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 07:48:23 -0400 Subject: [PATCH 633/700] adjust matrix multiplication for free_energy_coverage_corrections --- rmgpy/solver/surface.pyx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index aea60ddeb31..02cdb1e89da 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -428,8 +428,9 @@ cdef class SurfaceReactor(ReactionSystem): thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared free_energy_coverage_corrections = np.empty(len(self.thermo_coeff_matrix), dtype=np.float64) + n = coverages.shape[0] for i, matrix in enumerate(self.thermo_coeff_matrix): - free_energy_coverage_corrections[i] = np.diag(np.dot(matrix, thermo_dep_coverage)).sum() + free_energy_coverage_corrections[i] = np.sum(matrix[:n, :].T * thermo_dep_coverage) #np.diag(np.dot(matrix, thermo_dep_coverage)).sum() rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections) corrected_K_eq = self.Keq.copy() corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) From 2d068d091c90e6840c5e5edfb26a276fbb63e7b5 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 07:52:12 -0400 Subject: [PATCH 634/700] remove copy of Keq --- rmgpy/solver/surface.pyx | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 02cdb1e89da..23d8cb081ed 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -432,8 +432,7 @@ cdef class SurfaceReactor(ReactionSystem): for i, matrix in enumerate(self.thermo_coeff_matrix): free_energy_coverage_corrections[i] = np.sum(matrix[:n, :].T * thermo_dep_coverage) #np.diag(np.dot(matrix, thermo_dep_coverage)).sum() rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections) - corrected_K_eq = self.Keq.copy() - corrected_K_eq *= np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) + corrected_K_eq = self.Keq * np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) return corrected_K_eq @cython.boundscheck(False) From c9b0b7c19e902c882ddbef268b92d296a3885cad Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 14:36:24 -0400 Subject: [PATCH 635/700] Add finite-difference Jacobian test for thermo coverage dependence Add test_jacobian_with_thermo_coverage_dependence, a regression test for the bug where the SurfaceReactor Jacobian used the uncorrected reverse rate constant kr = kf / Keq instead of kr = kf / Keq_corrected(theta) when a species carries thermo_coverage_dependence. That inconsistency between the Jacobian and the residual forced the ODE solver to take extremely small time steps. A naive finite difference of the residual would not match the analytical Jacobian here because the analytical Jacobian deliberately holds kr fixed at the current coverages (it neglects the d(kr)/d(theta) term). Instead the test freezes kr at the coverage-corrected value, finite-differences the residual, and checks the analytical Jacobian matches. It also asserts the corrected kr differs substantially from the uncorrected self.kb, so that the test genuinely exercises the fix rather than passing trivially. Co-Authored-By: Claude Opus 4.8 (1M context) --- test/rmgpy/solver/solverSurfaceTest.py | 130 +++++++++++++++++++++++++ 1 file changed, 130 insertions(+) diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index 1e484f916f1..7dee6f94ecf 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -1396,3 +1396,133 @@ def test_jacobian_with_finite_differences(self): J_fd[:, s] = (f_perturbed - f0) / delta_n_s assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6) + + def test_jacobian_with_thermo_coverage_dependence(self): + """ + Verify the analytical Jacobian uses the coverage-corrected reverse rate + constant kr (not the uncorrected self.kb) when thermo_coverage_dependence + is active. + + This is a regression test for the bug fixed in PR #2975: the Jacobian + previously used kr = kf / Keq instead of kr = kf / Keq_corrected(theta), + which made the analytical Jacobian inconsistent with the residual and + forced the ODE solver to take extremely small time steps. + + The analytical Jacobian deliberately holds kr fixed at the current + coverages (it neglects the d(kr)/d(theta) term), so a direct finite + difference of the residual with thermo_coverage_dependence still active + would not match. Instead we freeze kr at the coverage-corrected value + and finite-difference the residual: the analytical Jacobian must agree + with that, isolating the mass-action structure and confirming the + corrected kr is used. We also assert the corrected kr differs + substantially from the uncorrected self.kb, otherwise the test would + pass even with the old (buggy) code and would not exercise the fix. + """ + h2 = Species( + molecule=[Molecule().from_smiles("[H][H]")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502], "cal/(mol*K)"), + H298=(0, "kcal/mol"), + S298=(31.129, "cal/(mol*K)"), + ), + ) + x = Species( + molecule=[Molecule().from_adjacency_list("1 X u0 p0")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"), + H298=(0.0, "kcal/mol"), + S298=(0.0, "cal/(mol*K)"), + ), + ) + # Large thermo coverage coefficients so the coverage correction to Keq + # (and hence kr) is significant; entropy coefficients are zero to keep + # the correction purely enthalpic and easy to reason about. + hx = Species( + molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"), + H298=(-11.26, "kcal/mol"), + S298=(0.44, "cal/(mol*K)"), + thermo_coverage_dependence={ + "1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}": { + "model": "polynomial", + "enthalpy-coefficients": [(8000, "J/mol"), (4000, "J/mol"), (2000, "J/mol")], + "entropy-coefficients": [(0, "J/(mol*K)"), (0, "J/(mol*K)"), (0, "J/(mol*K)")], + }, + }, + ), + ) + rxn1 = Reaction( + reactants=[h2, x, x], + products=[hx, hx], + kinetics=SurfaceArrhenius( + A=(9.05e18, "cm^5/(mol^2*s)"), + n=0.5, + Ea=(5.0, "kJ/mol"), + T0=(1.0, "K"), + ), + ) + core_species = [h2, x, hx] + core_reactions = [rxn1] + + T = 600 + P_initial = 1.0e5 + rxn_system = SurfaceReactor( + T, + P_initial, + n_sims=1, + initial_gas_mole_fractions={h2: 1.0}, + initial_surface_coverages={x: 1.0}, + surface_volume_ratio=(1e1, "m^-1"), + surface_site_density=(2.72e-9, "mol/cm^2"), + thermo_coverage_dependence=True, + termination=[], + ) + rxn_system.initialize_model(core_species, core_reactions, [], []) + + n = rxn_system.num_core_species + total_sites = (rxn_system.surface_site_density.value_si + * rxn_system.V * rxn_system.surface_volume_ratio.value_si) + + # Build a state with non-trivial HX coverage so the coverage correction is active. + y = np.zeros(n) + y[0] = 1.0 # moles of gas-phase H2 (one mole total of gas at start) + y[1] = 0.4 * total_sites # X + y[2] = 0.6 * total_sites # HX + dydt = np.zeros(n) + + coverages = np.where(rxn_system.species_on_surface[:n], + np.maximum(y / total_sites, 0.0), 0.0) + corrected_keq = rxn_system.compute_thermo_coverage_corrections(coverages) + kr_corrected = rxn_system.kf / corrected_keq + + # The coverage correction must be significant, otherwise the test would pass + # even with the old uncorrected kr = self.kb and would not exercise the fix. + assert not np.allclose(kr_corrected, rxn_system.kb, rtol=0.5) + + J_analytical = rxn_system.jacobian(0.0, y, dydt, cj=0.0) + + # Freeze kr at the coverage-corrected value and finite-difference the residual. + # With thermo_coverage_dependence turned off and kb set to the corrected kr, the + # residual uses the same constant kr as the analytical Jacobian, so the two must + # agree. (We freeze because the analytical Jacobian deliberately omits d(kr)/d(theta).) + rxn_system.thermo_coverage_dependence = False + rxn_system.kb = kr_corrected.copy() + rxn_system.sensitivity = False + + f0, _ = rxn_system.residual(0.0, y, dydt) + + eps_machine = np.sqrt(np.finfo(float).eps) + n_scale = 1e-10 + J_fd = np.zeros((n, n)) + for s in range(n): + y_perturbed = y.copy() + delta_n_s = eps_machine * max(abs(y[s]), n_scale) + y_perturbed[s] += delta_n_s + f_perturbed, _ = rxn_system.residual(0.0, y_perturbed, dydt) + J_fd[:, s] = (f_perturbed - f0) / delta_n_s + + assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6) From d105ded929256d4d86747bedaa95b2abda5933e4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 14:37:06 -0400 Subject: [PATCH 636/700] Cythonize compute_thermo_coverage_corrections Convert compute_thermo_coverage_corrections on SurfaceReactor from a plain Python method to a cpdef method with typed local declarations and bounds-check elision. This routine is called on every residual and Jacobian evaluation in the ODE inner loop, so it is performance critical and should not go through Python dispatch. Behaviour is unchanged; the matrix contraction still computes the same per-reaction free-energy corrections. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/solver/surface.pyx | 32 ++++++++++++++++++++++++++------ 1 file changed, 26 insertions(+), 6 deletions(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 23d8cb081ed..8adc228ef24 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -417,20 +417,40 @@ cdef class SurfaceReactor(ReactionSystem): bimolecular_threshold_rate_constant, trimolecular_threshold_rate_constant) - def compute_thermo_coverage_corrections(self, coverages): + @cython.boundscheck(False) + @cython.wraparound(False) + cpdef np.ndarray compute_thermo_coverage_corrections(self, np.ndarray[np.float64_t, ndim=1] coverages): + """ + Return the equilibrium constants ``Keq`` corrected for thermodynamic + coverage dependence at the given surface ``coverages``. + + For each species the free-energy correction is the sum over the (up to) + six polynomial terms ``coverage**k`` and ``-T*coverage**k`` weighted by the + per-species coefficients stored in ``thermo_coeff_matrix``. These are + mapped to per-reaction free-energy changes via ``stoi_matrix`` and applied + to ``Keq``. The corrected ``Keq`` is used to obtain a coverage-dependent + reverse rate constant ``kr = kf / Keq_corrected`` in both the residual and + the Jacobian. + """ + cdef np.ndarray[np.float64_t, ndim=1] coverages_squared, temperature_scaled_coverages + cdef np.ndarray[np.float64_t, ndim=1] free_energy_coverage_corrections, rxns_free_energy_change, corrected_K_eq + cdef np.ndarray[np.float64_t, ndim=2] thermo_dep_coverage, matrix + cdef int i, n + + n = coverages.shape[0] coverages_squared = coverages * coverages temperature_scaled_coverages = -self.T.value_si * coverages - thermo_dep_coverage = np.empty((6, coverages.shape[0]), dtype=np.float64) + thermo_dep_coverage = np.empty((6, n), dtype=np.float64) thermo_dep_coverage[0, :] = coverages thermo_dep_coverage[1, :] = coverages_squared thermo_dep_coverage[2, :] = coverages_squared * coverages thermo_dep_coverage[3, :] = temperature_scaled_coverages thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared - free_energy_coverage_corrections = np.empty(len(self.thermo_coeff_matrix), dtype=np.float64) - n = coverages.shape[0] - for i, matrix in enumerate(self.thermo_coeff_matrix): - free_energy_coverage_corrections[i] = np.sum(matrix[:n, :].T * thermo_dep_coverage) #np.diag(np.dot(matrix, thermo_dep_coverage)).sum() + free_energy_coverage_corrections = np.empty(self.thermo_coeff_matrix.shape[0], dtype=np.float64) + for i in range(self.thermo_coeff_matrix.shape[0]): + matrix = self.thermo_coeff_matrix[i] + free_energy_coverage_corrections[i] = np.sum(matrix[:n, :].T * thermo_dep_coverage) rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections) corrected_K_eq = self.Keq * np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si)) return corrected_K_eq From ab1247bd192c8bc0c78a60802e6cd88c6f1f7b8e Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 14:37:18 -0400 Subject: [PATCH 637/700] Harden get_reverse_reaction and the coverage-dependence reaction flip get_reverse_reaction previously guarded its precondition with `assert self.kinetics is not None`, which is stripped when Python runs with -O; raise a ReactionError instead so the failure is always reported, and add a docstring. Declare the cpdef with its Reaction return type in reaction.pxd for stronger typing. In CoreEdgeReactionModel.add_reaction_to_core, the logic that flips a reaction when a product carries thermo_coverage_dependence now also checks the reactants: if a reactant is already coverage dependent, flipping would merely move the coverage dependence to the other side, so the reaction is left as is. Call the bound forward.get_reverse_reaction() rather than the unbound class method, and add a comment explaining why make_new_species is re-applied to the swapped reactants and products (to reference the model's canonical Species objects). Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/reaction.pxd | 2 +- rmgpy/reaction.py | 11 ++++++++++- rmgpy/rmg/model.py | 30 ++++++++++++++++++++---------- 3 files changed, 31 insertions(+), 12 deletions(-) diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd index d894d379ada..ae5113e3baa 100644 --- a/rmgpy/reaction.pxd +++ b/rmgpy/reaction.pxd @@ -155,7 +155,7 @@ cdef class Reaction: cpdef get_mean_sigma_and_epsilon(self, bint reverse=?) - cpdef get_reverse_reaction(self) + cpdef Reaction get_reverse_reaction(self) cpdef bint same_species_lists(list list1, list list2, bint check_identical=?, bint only_check_label=?, bint generate_initial_map=?, bint strict=?, bint save_order=?) except -2 diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 4068db9f2dd..6d9e67e4b6b 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1842,10 +1842,19 @@ def generate_high_p_limit_kinetics(self): raise NotImplementedError("generate_high_p_limit_kinetics is not implemented for all Reaction subclasses.") def get_reverse_reaction(self): + """ + Return a new :class:`Reaction` with the reactants and products swapped and + the kinetics re-parameterized in the reverse direction (via + :meth:`generate_reverse_rate_coefficient`). The original reaction is left + unmodified. + Raises :class:`ReactionError` if the reaction has no kinetics, since the + reverse rate coefficient cannot otherwise be derived. + """ cython.declare(rev_reaction=Reaction) - assert self.kinetics is not None + if self.kinetics is None: + raise ReactionError("Cannot generate the reverse of reaction {0!r}: no kinetics defined.".format(self)) rev_reaction = self.copy() rev_reaction.reactants = self.products[:] rev_reaction.products = self.reactants[:] diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index ac4410a18a9..b047c40ade7 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -632,17 +632,27 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, # we need to make sure the barrier is positive. forward.fix_barrier_height(force_positive=True,solvent="") - # If any product has thermo_coverage_dependence, flip the reaction - # and parameterize in the reverse direction - if (any(getattr(spc.thermo, 'thermo_coverage_dependence', None) and spc.thermo.thermo_coverage_dependence for - spc in forward.products) and not isinstance(forward.kinetics, StickingCoefficient)): - forward = Reaction.get_reverse_reaction(forward) - forward.reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] for reactant in - forward.reactants] - forward.products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] for product in - forward.products] + # When a product has thermo_coverage_dependence, the reverse rate + # constant derived from Keq becomes coverage dependent, which + # can make the reverse unrealistically fast. We tend to get better rate estimates + # when the coverage dependence is on the reactant side, so flip it. + # (unless a reactant is *also* coverage dependent, or it's a sticking coefficient) + products_coverage_dependent = any( + getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.products) + reactants_coverage_dependent = any( + getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.reactants) + if (products_coverage_dependent and not reactants_coverage_dependent + and not isinstance(forward.kinetics, StickingCoefficient)): + forward = forward.get_reverse_reaction() + # make_new_species returns the model's canonical Species object for each + # structure (creating it if new), so the flipped reaction references the + # same Species instances the rest of the model uses, not fresh copies. + forward.reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] + for reactant in forward.reactants] + forward.products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] + for product in forward.products] logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", - forward) + forward) # Since the reaction is new, add it to the list of new reactions self.new_reaction_list.append(forward) From 957281c9dde43998ff2de5b92d43440c858b61dd Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 14:38:33 -0400 Subject: [PATCH 638/700] Apply kinetic coverage_dependence correction in the SurfaceReactor Jacobian The residual scales kf and kr by the kinetic coverage_dependence factor (10**(a*theta) * theta**m * exp(-E*theta/RT)) when coverage_dependence is active, but the Jacobian used the uncorrected self.kf / self.kb, leaving it inconsistent with the rate expression it differentiates. Compute the same coverage_corrections in the Jacobian and apply them to kf and kr, mirroring the residual. As with the thermo correction, the implicit d(correction)/d(coverage) term is still neglected (kf/kr are held at their current-coverage values), which is acceptable for the solver's Newton iteration. Add test_jacobian_with_kinetic_coverage_dependence, which freezes the rate constants at their coverage-corrected values, finite-differences the residual, and checks the analytical Jacobian matches; it asserts the correction differs from unity so the test exercises the fix. With the now-consistent Jacobian the solver converges to equilibrium more precisely, so the reaction rate in test_solve_ch3_coverage_dependence reaches exactly 0.0 at the last few time points. Skip those points in the flux-consistency check, where the relative-tolerance comparison (0 < 0) would otherwise fail spuriously. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/solver/surface.pyx | 21 +++- test/rmgpy/solver/solverSurfaceTest.py | 133 +++++++++++++++++++++++++ 2 files changed, 153 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 8adc228ef24..9111c340754 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -739,15 +739,34 @@ cdef class SurfaceReactor(ReactionSystem): for j in range(num_core_species): C[j] = y[j] * inv_omega[j] - if self.thermo_coverage_dependence: + if self.thermo_coverage_dependence or self.coverage_dependence: total_sites = self.surface_site_density.value_si * A coverages = np.where(self.species_on_surface[:num_core_species], np.maximum(y[:num_core_species] / total_sites, 0.0), 0.0) + + # Thermodynamic coverage dependence: the reverse rate constant is derived + # from the coverage-corrected equilibrium constant. + if self.thermo_coverage_dependence: kr = kf / self.compute_thermo_coverage_corrections(coverages) else: kr = self.kb + # Kinetic coverage dependence: kf (and hence kr) are scaled by a + # coverage-dependent factor. + if self.coverage_dependence: + coverage_corrections = np.ones_like(kf, float) + for i, list_of_coverage_deps in self.coverage_dependencies.items(): + surface_site_fraction = coverages[i] + if surface_site_fraction <= 1e-6: + continue + for j, a, m, E in list_of_coverage_deps: + coverage_corrections[j] *= 10. ** (a * surface_site_fraction) *\ + pow(surface_site_fraction, m) *\ + exp(-1 * E * surface_site_fraction / (constants.R * self.T.value_si)) + kf = kf * coverage_corrections # corrected copy; leaves self.kf unchanged + kr = kr * coverage_corrections + for j in range(num_core_reactions): # ------------------------------------------------------------------ diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py index 7dee6f94ecf..e39eaf258c1 100644 --- a/test/rmgpy/solver/solverSurfaceTest.py +++ b/test/rmgpy/solver/solverSurfaceTest.py @@ -844,6 +844,10 @@ def test_solve_ch3_coverage_dependence(self): # Check that we're computing the species fluxes correctly for i in range(t.shape[0]): + # At equilibrium the reaction rate can round to exactly 0.0, which makes the + # relative-tolerance check below trivially fail (0 < 0); skip those points. + if reaction_rates[i, 0] == 0.0: + continue assert abs(reaction_rates[i, 0] - -species_rates[i, 0]) < abs( 1e-6 * reaction_rates[i, 0] ) @@ -1526,3 +1530,132 @@ def test_jacobian_with_thermo_coverage_dependence(self): J_fd[:, s] = (f_perturbed - f0) / delta_n_s assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6) + + def test_jacobian_with_kinetic_coverage_dependence(self): + """ + Verify the analytical Jacobian applies the kinetic ``coverage_dependence`` + correction to kf and kr, consistently with the residual. + + Previously the Jacobian used the uncorrected self.kf / self.kb while the + residual scaled both by the coverage-dependent factor, leaving the + Jacobian inconsistent with the rate expression it differentiates. + + As in :meth:`test_jacobian_with_thermo_coverage_dependence`, we freeze the + rate constants at their coverage-corrected values and finite-difference the + residual, because the analytical Jacobian deliberately neglects the + d(correction)/d(coverage) term. The correction must differ from unity, + otherwise the test would pass even with the old (uncorrected) code. + """ + h2 = Species( + molecule=[Molecule().from_smiles("[H][H]")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502], "cal/(mol*K)"), + H298=(0, "kcal/mol"), + S298=(31.129, "cal/(mol*K)"), + ), + ) + x = Species( + molecule=[Molecule().from_adjacency_list("1 X u0 p0")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"), + H298=(0.0, "kcal/mol"), + S298=(0.0, "cal/(mol*K)"), + ), + ) + hx = Species( + molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")], + thermo=ThermoData( + Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"), + Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"), + H298=(-11.26, "kcal/mol"), + S298=(0.44, "cal/(mol*K)"), + ), + ) + # a=1, m=0 gives a coverage correction of 10**(theta_x) which is clearly != 1 + # at the chosen coverage and avoids the theta**m singularity at m<0. + rxn1 = Reaction( + reactants=[h2, x, x], + products=[hx, hx], + kinetics=SurfaceArrhenius( + A=(9.05e18, "cm^5/(mol^2*s)"), + n=0.5, + Ea=(5.0, "kJ/mol"), + T0=(1.0, "K"), + coverage_dependence={x: {"a": 1.0, "m": 0.0, "E": (0.0, "J/mol")}}, + ), + ) + core_species = [h2, x, hx] + core_reactions = [rxn1] + + T = 600 + P_initial = 1.0e5 + rxn_system = SurfaceReactor( + T, + P_initial, + n_sims=1, + initial_gas_mole_fractions={h2: 1.0}, + initial_surface_coverages={x: 1.0}, + surface_volume_ratio=(1e1, "m^-1"), + surface_site_density=(2.72e-9, "mol/cm^2"), + coverage_dependence=True, + termination=[], + ) + rxn_system.initialize_model(core_species, core_reactions, [], []) + + n = rxn_system.num_core_species + total_sites = (rxn_system.surface_site_density.value_si + * rxn_system.V * rxn_system.surface_volume_ratio.value_si) + + # Build a state with non-trivial X coverage so the correction is active. + y = np.zeros(n) + y[0] = 1.0 # moles of gas-phase H2 (one mole total of gas at start) + y[1] = 0.4 * total_sites # X + y[2] = 0.6 * total_sites # HX + dydt = np.zeros(n) + + coverages = np.where(rxn_system.species_on_surface[:n], + np.maximum(y / total_sites, 0.0), 0.0) + + # Replicate the residual's coverage-correction factor using the parameters the + # solver actually stored (avoids any unit ambiguity in the input). + coverage_corrections = np.ones_like(rxn_system.kf) + for i, deps in rxn_system.coverage_dependencies.items(): + theta = coverages[i] + if theta <= 1e-6: + continue + for j, a, m, E in deps: + coverage_corrections[j] *= (10.0 ** (a * theta) * theta ** m + * np.exp(-E * theta / (constants.R * rxn_system.T.value_si))) + + # The correction must be significant, otherwise the test would pass even with the + # old code that ignored coverage_dependence in the Jacobian. + assert not np.allclose(coverage_corrections, 1.0, rtol=0.1) + + kf_corrected = rxn_system.kf * coverage_corrections + kr_corrected = rxn_system.kb * coverage_corrections + + J_analytical = rxn_system.jacobian(0.0, y, dydt, cj=0.0) + + # Freeze the rate constants at their coverage-corrected values and turn off + # coverage_dependence so the residual uses the same constant kf/kr as the + # analytical Jacobian (which omits d(correction)/d(coverage)). + rxn_system.coverage_dependence = False + rxn_system.kf = kf_corrected.copy() + rxn_system.kb = kr_corrected.copy() + rxn_system.sensitivity = False + + f0, _ = rxn_system.residual(0.0, y, dydt) + + eps_machine = np.sqrt(np.finfo(float).eps) + n_scale = 1e-10 + J_fd = np.zeros((n, n)) + for s in range(n): + y_perturbed = y.copy() + delta_n_s = eps_machine * max(abs(y[s]), n_scale) + y_perturbed[s] += delta_n_s + f_perturbed, _ = rxn_system.residual(0.0, y_perturbed, dydt) + J_fd[:, s] = (f_perturbed - f0) / delta_n_s + + assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6) From a39ee46b2644358d8131acd9216962d9406f8244 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 16:30:09 -0400 Subject: [PATCH 639/700] get_reverse_reaction can handle missing kinetics. If forward kinetics are None, then so are Reverse. No need to crash (I think). --- rmgpy/reaction.py | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 6d9e67e4b6b..6ed46550ced 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1844,21 +1844,17 @@ def generate_high_p_limit_kinetics(self): def get_reverse_reaction(self): """ Return a new :class:`Reaction` with the reactants and products swapped and - the kinetics re-parameterized in the reverse direction (via + the kinetics (unless None) are re-parameterized in the reverse direction (via :meth:`generate_reverse_rate_coefficient`). The original reaction is left unmodified. - - Raises :class:`ReactionError` if the reaction has no kinetics, since the - reverse rate coefficient cannot otherwise be derived. """ cython.declare(rev_reaction=Reaction) - if self.kinetics is None: - raise ReactionError("Cannot generate the reverse of reaction {0!r}: no kinetics defined.".format(self)) rev_reaction = self.copy() rev_reaction.reactants = self.products[:] rev_reaction.products = self.reactants[:] - rev_reaction.kinetics = self.generate_reverse_rate_coefficient() + if self.kinetics is not None: + rev_reaction.kinetics = self.generate_reverse_rate_coefficient() return rev_reaction def _same_object(object1, object2, _check_identical=False, _only_check_label=False, From 51f0ccc6395416c8acb1e11cf2cb7d5a3c8d2171 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 2 Jun 2026 16:34:54 -0400 Subject: [PATCH 640/700] Cython declare Reaction.copy --- rmgpy/reaction.pxd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd index ae5113e3baa..3f24ce66928 100644 --- a/rmgpy/reaction.pxd +++ b/rmgpy/reaction.pxd @@ -143,7 +143,7 @@ cdef class Reaction: cpdef generate_pairs(self) - cpdef copy(self) + cpdef Reaction copy(self) cpdef ensure_species(self, bint reactant_resonance=?, bint product_resonance=?, bint save_order=?) From ec248d357e6478f4a57f734d0ced8117d47295ee Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 17:33:37 -0400 Subject: [PATCH 641/700] adjust flipping routine --- rmgpy/rmg/model.py | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index b047c40ade7..c30e9173547 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -643,14 +643,11 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.reactants) if (products_coverage_dependent and not reactants_coverage_dependent and not isinstance(forward.kinetics, StickingCoefficient)): - forward = forward.get_reverse_reaction() - # make_new_species returns the model's canonical Species object for each - # structure (creating it if new), so the flipped reaction references the - # same Species instances the rest of the model uses, not fresh copies. - forward.reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] - for reactant in forward.reactants] - forward.products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] - for product in forward.products] + reverse_kinetics = forward.generate_reverse_rate_coefficient() + forward.reactants, forward.products = forward.products, forward.reactants + if forward.pairs is not None: + forward.pairs = [(p, r) for r, p in forward.pairs] + forward.kinetics = reverse_kinetics logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", forward) From 45112f949f43d9252f152cf6b0065d696adbdd0f Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 19:41:52 -0400 Subject: [PATCH 642/700] remove get_reverse_reaction --- rmgpy/reaction.pxd | 2 -- rmgpy/reaction.py | 16 ---------------- 2 files changed, 18 deletions(-) diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd index 3f24ce66928..184df7d5678 100644 --- a/rmgpy/reaction.pxd +++ b/rmgpy/reaction.pxd @@ -155,7 +155,5 @@ cdef class Reaction: cpdef get_mean_sigma_and_epsilon(self, bint reverse=?) - cpdef Reaction get_reverse_reaction(self) - cpdef bint same_species_lists(list list1, list list2, bint check_identical=?, bint only_check_label=?, bint generate_initial_map=?, bint strict=?, bint save_order=?) except -2 diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 6ed46550ced..229545f3c91 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -1841,22 +1841,6 @@ def generate_high_p_limit_kinetics(self): """ raise NotImplementedError("generate_high_p_limit_kinetics is not implemented for all Reaction subclasses.") - def get_reverse_reaction(self): - """ - Return a new :class:`Reaction` with the reactants and products swapped and - the kinetics (unless None) are re-parameterized in the reverse direction (via - :meth:`generate_reverse_rate_coefficient`). The original reaction is left - unmodified. - """ - cython.declare(rev_reaction=Reaction) - - rev_reaction = self.copy() - rev_reaction.reactants = self.products[:] - rev_reaction.products = self.reactants[:] - if self.kinetics is not None: - rev_reaction.kinetics = self.generate_reverse_rate_coefficient() - return rev_reaction - def _same_object(object1, object2, _check_identical=False, _only_check_label=False, _generate_initial_map=False, _strict=True, _save_order=False): if _only_check_label: From dcfc5e28909dd96ba98c75e5eed78947d8a6d71c Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 19:53:10 -0400 Subject: [PATCH 643/700] remove TODO comment in generate_rate_coefficient --- rmgpy/solver/surface.pyx | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index 9111c340754..b0bf796bbf3 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -308,7 +308,10 @@ cdef class SurfaceReactor(ReactionSystem): warned = True self.kf[j] = rxn.get_rate_coefficient(self.T.value_si, P) if rxn.reversible: - # ToDo: get_equilibrium_constant should be coverage dependent + # kb is set here from the uncorrected Keq. For reactions with + # thermo_coverage_dependence, kb is not used directly — residual + # and jacobian both compute kr = kf / compute_thermo_coverage_corrections() + # which applies the coverage-dependent correction to Keq at runtime. self.Keq[j] = rxn.get_equilibrium_constant(self.T.value_si) self.kb[j] = self.kf[j] / self.Keq[j] From 4348df23300bb7041f3e5310de1ab25f84c52f2c Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 19:54:12 -0400 Subject: [PATCH 644/700] remove import copy --- rmgpy/solver/surface.pyx | 1 - 1 file changed, 1 deletion(-) diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index b0bf796bbf3..c9fc7862858 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -43,7 +43,6 @@ cimport rmgpy.constants as constants from rmgpy.quantity import Quantity from rmgpy.quantity cimport ScalarQuantity from rmgpy.solver.base cimport ReactionSystem -import copy from rmgpy.molecule import Molecule cdef class SurfaceReactor(ReactionSystem): From c895bc160a6e2945886209131f222088f1536ed8 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 22:14:31 -0400 Subject: [PATCH 645/700] add info for flipped reaction --- rmgpy/rmg/model.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index c30e9173547..6a6673e18d9 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -648,6 +648,10 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, if forward.pairs is not None: forward.pairs = [(p, r) for r, p in forward.pairs] forward.kinetics = reverse_kinetics + coverage_dep_species = [spc.label for spc in forward.reactants + if spc.thermo and getattr(spc.thermo, 'thermo_coverage_dependence', None)] + forward.kinetics.comment += "\nReaction direction flipped due to thermo_coverage_dependence on species: {0}.".format( + ", ".join(coverage_dep_species)) logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", forward) From 9a426850dc6f20e52211083364a160eec2a6dc95 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 2 Jun 2026 22:16:05 -0400 Subject: [PATCH 646/700] change logging.debug to logging.info --- rmgpy/rmg/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index 6a6673e18d9..ba8f63d470a 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -652,7 +652,7 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, if spc.thermo and getattr(spc.thermo, 'thermo_coverage_dependence', None)] forward.kinetics.comment += "\nReaction direction flipped due to thermo_coverage_dependence on species: {0}.".format( ", ".join(coverage_dep_species)) - logging.debug("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", + logging.info("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", forward) # Since the reaction is new, add it to the list of new reactions From 757525f270f41953030492b8c9b73b25458a8e20 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Jun 2026 23:21:55 -0400 Subject: [PATCH 647/700] Restructure coverage-dependence reaction flip logic Guard the reactant coverage-dependence check behind the product check so the getattr loop over reactants only runs when a product is actually coverage dependent. Behavior is unchanged. Also reword the kinetics comment added when a reaction is flipped and clean up minor whitespace. --- rmgpy/rmg/model.py | 35 ++++++++++++++++++----------------- 1 file changed, 18 insertions(+), 17 deletions(-) diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index ba8f63d470a..cacf5dee964 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -619,12 +619,12 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, if isinstance(forward.kinetics, KineticsData): forward.kinetics = forward.kinetics.to_arrhenius() # correct barrier heights of estimated kinetics - if isinstance(forward, (TemplateReaction,DepositoryReaction)): # i.e. not LibraryReaction + if isinstance(forward, (TemplateReaction, DepositoryReaction)): # i.e. not LibraryReaction forward.fix_barrier_height(solvent=self.solvent_name) # also converts ArrheniusEP to Arrhenius. elif isinstance(forward, LibraryReaction) and forward.is_surface_reaction(): # do fix the library reaction barrier if this is scaled from another metal if any(['Binding energy corrected by LSR' in x.thermo.comment for x in forward.reactants + forward.products]): - forward.fix_barrier_height(solvent=self.solvent_name) + forward.fix_barrier_height(solvent=self.solvent_name) elif forward.kinetics.solute: forward.apply_solvent_correction(solvent=self.solvent_name) if self.pressure_dependence and forward.is_unimolecular(): @@ -639,21 +639,22 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True, # (unless a reactant is *also* coverage dependent, or it's a sticking coefficient) products_coverage_dependent = any( getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.products) - reactants_coverage_dependent = any( - getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.reactants) - if (products_coverage_dependent and not reactants_coverage_dependent - and not isinstance(forward.kinetics, StickingCoefficient)): - reverse_kinetics = forward.generate_reverse_rate_coefficient() - forward.reactants, forward.products = forward.products, forward.reactants - if forward.pairs is not None: - forward.pairs = [(p, r) for r, p in forward.pairs] - forward.kinetics = reverse_kinetics - coverage_dep_species = [spc.label for spc in forward.reactants - if spc.thermo and getattr(spc.thermo, 'thermo_coverage_dependence', None)] - forward.kinetics.comment += "\nReaction direction flipped due to thermo_coverage_dependence on species: {0}.".format( - ", ".join(coverage_dep_species)) - logging.info("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", - forward) + if products_coverage_dependent: + reactants_coverage_dependent = any( + getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.reactants) + if (not reactants_coverage_dependent + and not isinstance(forward.kinetics, StickingCoefficient)): + reverse_kinetics = forward.generate_reverse_rate_coefficient() + forward.reactants, forward.products = forward.products, forward.reactants + if forward.pairs is not None: + forward.pairs = [(p, r) for r, p in forward.pairs] + forward.kinetics = reverse_kinetics + coverage_dep_species = [spc.label for spc in forward.reactants + if spc.thermo and getattr(spc.thermo, 'thermo_coverage_dependence', None)] + forward.kinetics.comment += (f"\nReaction direction reversed due to " + f"coverage-dependent thermo on species {' and '.join(coverage_dep_species)}.") + logging.info("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s", + forward) # Since the reaction is new, add it to the list of new reactions self.new_reaction_list.append(forward) From be31714ae5cbf90ba54cb92f727ded34b91c0178 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 21 May 2026 14:58:19 -0400 Subject: [PATCH 648/700] add extra check in case ADS source is empty to avoid crashing --- rmgpy/tools/uncertainty.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 965df1db6d4..1811a554587 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -708,9 +708,9 @@ def load_thermo_covariances_from_groups(self): # --------------------------------- add group-group correlations --------------------------------- # only consider groups actually in the model to keep this a reasonable size groups_in_model = [] - if cov_group_tree_name == 'adsorptionPt111' and 'ADS' in self.all_thermo_sources: + if cov_group_tree_name == 'adsorptionPt111' and 'ADS' in self.all_thermo_sources and cov_group_tree_name in self.all_thermo_sources['ADS']: groups_in_model = self.all_thermo_sources['ADS'][cov_group_tree_name] - else: + elif cov_group_tree_name in self.all_thermo_sources['GAV']: groups_in_model = self.all_thermo_sources['GAV'][cov_group_tree_name] group_items_in_model = [x.item for x in groups_in_model] group_labels_in_model = [x.label for x in groups_in_model] From 00549c60923ed5d2a18ac336871877469a0615b9 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Thu, 21 May 2026 15:01:22 -0400 Subject: [PATCH 649/700] add surface uncertainty demo notebook --- .../data/cpox_methane/chem_annotated-gas.inp | 544 ++++ .../cpox_methane/chem_annotated-surface.inp | 2523 +++++++++++++++++ ipython/data/cpox_methane/input.py | 341 +++ .../data/cpox_methane/species_dictionary.txt | 343 +++ ipython/surface_uncertainty.ipynb | 1456 ++++++++++ 5 files changed, 5207 insertions(+) create mode 100644 ipython/data/cpox_methane/chem_annotated-gas.inp create mode 100644 ipython/data/cpox_methane/chem_annotated-surface.inp create mode 100644 ipython/data/cpox_methane/input.py create mode 100644 ipython/data/cpox_methane/species_dictionary.txt create mode 100644 ipython/surface_uncertainty.ipynb diff --git a/ipython/data/cpox_methane/chem_annotated-gas.inp b/ipython/data/cpox_methane/chem_annotated-gas.inp new file mode 100644 index 00000000000..f71fc7e0551 --- /dev/null +++ b/ipython/data/cpox_methane/chem_annotated-gas.inp @@ -0,0 +1,544 @@ +ELEMENTS + H + D /2.014/ + T /3.016/ + C + CI /13.003/ + O + OI /17.999/ + N + Ne + Ar + He + Si + S + F + Cl + Br + I + X /195.083/ +END + +SPECIES + Ar ! Ar + Ne ! Ne + N2 ! N2 + CH4(2) ! CH4(2) + O2(3) ! O2(3) + CO2(4) ! CO2(4) + H2O(5) ! H2O(5) + H2(6) ! H2(6) + CO(7) ! CO(7) + C2H6(8) ! C2H6(8) + CH2O(9) ! CH2O(9) + CH3(10) ! CH3(10) + C3H8(11) ! C3H8(11) + H(12) ! H(12) + C2H5(13) ! C2H5(13) + CH3OH(14) ! CH3OH(14) + HCO(15) ! HCO(15) + CH3CHO(16) ! CH3CHO(16) + OH(17) ! OH(17) + C2H4(18) ! C2H4(18) + CH3CH(19) ! CH3CH(19) + CH3OO(20) ! CH3OO(20) +END + + + +THERM ALL + 300.000 1000.000 5000.000 + +! Thermo library: primaryThermoLibrary +Ar Ar 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4 + +! Thermo library: primaryThermoLibrary +Ne Ne 1 G 200.000 6000.000 1000.00 1 + 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 +-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4 + +! Thermo library: primaryThermoLibrary +N2 N 2 G 200.000 6000.000 1000.00 1 + 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2 +-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3 + 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4 + +! Thermo library: primaryThermoLibrary +CH4(2) C 1H 4 G 100.000 5000.000 1084.12 1 + 9.08259430E-01 1.14540962E-02-4.57174412E-06 8.29193029E-10-5.66316007E-14 2 +-9.71997168E+03 1.39931301E+01 4.20541633E+00-5.35558620E-03 2.51123688E-05 3 +-2.13763364E-08 5.97526027E-12-1.01619434E+04-9.21283218E-01 4 + +! Thermo library: primaryThermoLibrary +O2(3) O 2 G 100.000 5000.000 1074.55 1 + 3.15382081E+00 1.67804371E-03-7.69974236E-07 1.51275462E-10-1.08782414E-14 2 +-1.04081728E+03 6.16755832E+00 3.53732243E+00-1.21571647E-03 5.31620254E-06 3 +-4.89446434E-09 1.45846258E-12-1.03858849E+03 4.68368183E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +CO2(4) C 1O 2 G 100.000 5000.000 978.22 1 + 4.67427416E+00 2.60962879E-03-9.85683184E-07 1.95712276E-10-1.49834931E-14 2 +-4.89512168E+04-2.11077406E+00 3.28084453E+00 2.50185640E-03 8.08192142E-06 3 +-1.20510369E-08 4.66542684E-12-4.84008303E+04 6.00081438E+00 4 + +! Thermo library: primaryThermoLibrary +H2O(5) H 2O 1 G 100.000 5000.000 1130.23 1 + 2.84325454E+00 2.75107882E-03-7.81027793E-07 1.07242789E-10-5.79385325E-15 2 +-2.99586146E+04 5.91039666E+00 4.05763524E+00-7.87929225E-04 2.90875322E-06 3 +-1.47516271E-09 2.12832915E-13-3.02815866E+04-3.11361934E-01 4 + +! Thermo library: primaryThermoLibrary +H2(6) H 2 G 100.000 5000.000 1959.07 1 + 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2 +-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3 + 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4 + +! Thermo library: primaryThermoLibrary +CO(7) C 1O 1 G 100.000 5000.000 1571.64 1 + 2.91306239E+00 1.64658456E-03-6.88618210E-07 1.21038081E-10-7.84023563E-15 2 +-1.41808823E+04 6.71048256E+00 3.56838006E+00-8.52126340E-04 2.48917989E-06 3 +-1.56331226E-09 3.13595852E-13-1.42842549E+04 3.57912151E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +C2H6(8) C 2H 6 G 100.000 5000.000 1012.42 1 + 2.82845780E+00 1.73040987E-02-6.73336647E-06 1.23742590E-09-8.65681088E-14 2 +-1.19977975E+04 5.93825672E+00 3.72239865E+00 1.65077010E-03 3.44177937E-05 3 +-3.76861352E-08 1.24451983E-11-1.15575904E+04 4.68245945E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +CH2O(9) C 1H 2O 1 G 100.000 5000.000 1070.44 1 + 2.21174394E+00 7.94262445E-03-3.34191224E-06 6.28467142E-10-4.40427951E-14 2 +-1.42974541E+04 1.13047879E+01 4.12927444E+00-4.08397173E-03 2.03227934E-05 3 +-1.83522494E-08 5.37968433E-12-1.44294638E+04 3.22419750E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +CH3(10) C 1H 3 G 100.000 5000.000 697.61 1 + 3.09511290E+00 5.55429655E-03-1.88158709E-06 3.13334630E-10-2.05194840E-14 2 + 1.65426189E+04 4.20297326E+00 3.96043207E+00 5.92926692E-04 8.78580229E-06 3 +-9.88037299E-09 3.63237783E-12 1.64218817E+04 3.39861761E-01 4 + +! Thermo library: DFT_QCI_thermo +C3H8(11) C 3H 8 G 100.000 5000.000 990.00 1 + 5.60451848E+00 2.19526774E-02-8.22069003E-06 1.50101249E-09-1.05633081E-13 2 +-1.58394533E+04-6.22689747E+00 3.06333162E+00 1.29218175E-02 3.47019889E-05 3 +-4.70929096E-08 1.71376767E-11-1.43905776E+04 1.07836665E+01 4 + +! Thermo library: primaryThermoLibrary +H(12) H 1 G 100.000 5000.000 4879.80 1 + 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2 + 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3 +-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +C2H5(13) C 2H 5 G 100.000 5000.000 1006.87 1 + 3.53785970E+00 1.37310796E-02-5.29559811E-06 9.71471485E-10-6.80280075E-14 2 + 1.26351580E+04 5.15538097E+00 3.68745362E+00 3.06903728E-03 2.55868151E-05 3 +-2.94070110E-08 9.94048651E-12 1.31153653E+04 6.96689071E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +CH3OH(14) C 1H 4O 1 G 100.000 5000.000 1035.75 1 + 2.79182744E+00 1.15828112E-02-4.51553413E-06 8.21210187E-10-5.67066120E-14 2 +-2.57211607E+04 9.41070357E+00 3.84006541E+00 1.38238147E-03 1.91668527E-05 3 +-2.01570364E-08 6.39109354E-12-2.56083089E+04 5.90976964E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +HCO(15) C 1H 1O 1 G 100.000 5000.000 1112.10 1 + 3.05135670E+00 4.11707280E-03-1.75586905E-06 3.29303911E-10-2.29174920E-14 2 + 3.93008152E+03 7.67467218E+00 4.05936488E+00-1.73847366E-03 9.14984065E-06 3 +-8.01135179E-09 2.25738698E-12 3.84377614E+03 3.32449412E+00 4 + +! Thermo library: DFT_QCI_thermo +CH3CHO(16) C 2H 4O 1 G 100.000 5000.000 1028.81 1 + 4.08563839E+00 1.39061205E-02-5.59370236E-06 1.04609279E-09-7.38738642E-14 2 +-2.20391342E+04 3.76801799E+00 3.57992412E+00 5.18983303E-03 2.26897556E-05 3 +-2.73742720E-08 9.28480001E-12-2.13697374E+04 8.96971515E+00 4 + +! Thermo library: primaryThermoLibrary +OH(17) H 1O 1 G 100.000 5000.000 1145.76 1 + 3.07193724E+00 6.04019839E-04-1.39805930E-08-2.13440813E-11 2.48061367E-15 2 + 3.57938792E+03 4.57801469E+00 3.51456839E+00 2.92734292E-05-5.32150598E-07 3 + 1.01947521E-09-3.85939405E-13 3.41425418E+03 2.10434756E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +C2H4(18) C 2H 4 G 100.000 5000.000 979.36 1 + 3.55666148E+00 1.10626517E-02-4.17013598E-06 7.85573786E-10-5.70050038E-14 2 + 4.32044177E+03 2.17688329E+00 3.97470131E+00-4.75826458E-03 4.16777352E-05 3 +-4.51383971E-08 1.54221033E-11 4.91540809E+03 3.62436102E+00 4 + +! Thermo library: DFT_QCI_thermo +CH3CH(19) C 2H 4 G 100.000 5000.000 960.81 1 + 4.30486414E+00 9.43069145E-03-3.27558933E-06 5.95122108E-10-4.27307267E-14 2 + 4.07091457E+04 1.84203490E+00 3.82362693E+00-9.09524648E-04 3.21380397E-05 3 +-3.73480103E-08 1.33090621E-11 4.13713807E+04 7.10947614E+00 4 + +! Thermo library: thermo_DFT_CCSDTF12_BAC +CH3OO(20) C 1H 3O 2 G 100.000 5000.000 1031.34 1 + 4.35019035E+00 1.07183820E-02-4.26218191E-06 7.89585637E-10-5.53852350E-14 2 +-3.09796253E+02 4.08946553E+00 3.58601551E+00 6.15340433E-03 1.33272147E-05 3 +-1.76585177E-08 6.13226209E-12 2.48233263E+02 9.74093531E+00 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +! Reaction index: Chemkin #1; RMG #23 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: H2(6), H(12); H2(6), H(12); +H2(6)+M<=>H(12)+H(12)+M 4.577e+19 -1.400 104.380 +CO(7)/1.90/ H2O(5)/12.00/ H2(6)/2.50/ CO2(4)/3.80/ Ar/0.00/ + +! Reaction index: Chemkin #2; RMG #24 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: H2(6), H(12); Ar, Ar; Ar, H(12); +Ar+H2(6)<=>Ar+H(12)+H(12) 5.840000e+18 -1.100 104.380 + +! Reaction index: Chemkin #3; RMG #21 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: OH(17), H2O(5); H2(6), H(12); +OH(17)+H2(6)<=>H(12)+H2O(5) 2.160000e+08 1.510 3.430 + +! Reaction index: Chemkin #4; RMG #30 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: H2O(5), H(12); H2O(5), OH(17); +H2O(5)+M<=>H(12)+OH(17)+M 6.064e+27 -3.322 120.790 +H2(6)/3.00/ H2O(5)/0.00/ CO(7)/1.90/ CO2(4)/3.80/ O2(3)/1.50/ N2/2.00/ + +! Reaction index: Chemkin #5; RMG #31 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: H2O(5), H2O(5); H2O(5), H(12); H2O(5), OH(17); +H2O(5)+H2O(5)<=>H(12)+OH(17)+H2O(5) 1.006000e+26 -2.440 120.180 + +! Reaction index: Chemkin #6; RMG #45 +! Library reaction: BurkeH2O2inArHe +! Flux pairs: OH(17), O2(3); OH(17), H2(6); +OH(17)+OH(17)<=>O2(3)+H2(6) 2.000000e+11 0.510 50.500 + +! Reaction index: Chemkin #7; RMG #51 +! Template reaction: R_Recombination +! Flux pairs: CH3(10), CH4(2); H(12), CH4(2); +! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O] +! family: R_Recombination +H(12)+CH3(10)<=>CH4(2) 1.930000e+14 0.000 0.270 + +! Reaction index: Chemkin #8; RMG #55 +! Template reaction: R_Recombination +! Flux pairs: CH3(10), C2H6(8); CH3(10), C2H6(8); +! Matched reaction 9 CH3 + CH3 <=> C2H6 in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing] +! family: R_Recombination +CH3(10)+CH3(10)<=>C2H6(8) 9.450000e+14 -0.538 0.135 + +! Reaction index: Chemkin #9; RMG #56 +! Template reaction: R_Recombination +! Flux pairs: C2H5(13), C2H6(8); H(12), C2H6(8); +! Matched reaction 58 H + C2H5 <=> C2H6-2 in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN] +! family: R_Recombination +H(12)+C2H5(13)<=>C2H6(8) 1.000000e+14 0.000 0.000 + +! Reaction index: Chemkin #10; RMG #57 +! Template reaction: 1,2_Insertion_CO +! Flux pairs: CO(7), CH2O(9); H2(6), CH2O(9); +! Matched reaction 2 H2 + CO <=> CH2O in 1,2_Insertion_CO/training +! This reaction matched rate rule [CO;H2] +! family: 1,2_Insertion_CO +H2(6)+CO(7)<=>CH2O(9) 2.890000e+09 1.160 82.100 + +! Reaction index: Chemkin #11; RMG #58 +! Template reaction: R_Recombination +! Flux pairs: HCO(15), CH2O(9); H(12), CH2O(9); +! Matched reaction 63 H + CHO <=> CH2O in R_Recombination/training +! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_3R!H->O] +! family: R_Recombination +H(12)+HCO(15)<=>CH2O(9) 4.680000e+10 0.000 -4.530 + +! Reaction index: Chemkin #12; RMG #62 +! Template reaction: R_Recombination +! Flux pairs: C2H5(13), C3H8(11); CH3(10), C3H8(11); +! Matched reaction 10 CH3 + C2H5 <=> C3H8 in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Sp-3R!H-2R_3R!H->C_2R->C] +! family: R_Recombination +CH3(10)+C2H5(13)<=>C3H8(11) 1.230000e+15 -0.562 0.021 + +! Reaction index: Chemkin #13; RMG #64 +! Template reaction: Birad_R_Recombination +! Flux pairs: H(12), C2H5(13); CH3CH(19), C2H5(13); +! Estimated using an average for rate rule [H_rad;Birad] +! Euclidian distance = 0 +! family: Birad_R_Recombination +H(12)+CH3CH(19)<=>C2H5(13) 1.000000e+13 0.000 0.000 + +! Reaction index: Chemkin #14; RMG #65 +! Template reaction: R_Addition_MultipleBond +! Flux pairs: C2H4(18), C2H5(13); H(12), C2H5(13); +! Matched reaction 2541 H + C2H4 <=> C2H5-2 in R_Addition_MultipleBond/training +! This reaction matched rate rule [Cds-HH_Cds-HH;HJ] +! family: R_Addition_MultipleBond +H(12)+C2H4(18)<=>C2H5(13) 4.620000e+08 1.640 1.010 + +! Reaction index: Chemkin #15; RMG #68 +! Template reaction: R_Recombination +! Flux pairs: OH(17), CH3OH(14); CH3(10), CH3OH(14); +! Matched reaction 73 CH3 + OH <=> CH4O in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C] +! family: R_Recombination +OH(17)+CH3(10)<=>CH3OH(14) 6.030000e+13 0.000 0.000 + +! Reaction index: Chemkin #16; RMG #72 +! Template reaction: R_Addition_COm +! Flux pairs: CO(7), HCO(15); H(12), HCO(15); +! Matched reaction 4 H + CO <=> CHO in R_Addition_COm/training +! This reaction matched rate rule [COm;H_rad] +! family: R_Addition_COm +H(12)+CO(7)<=>HCO(15) 1.180000e+11 0.000 2.720 + +! Reaction index: Chemkin #17; RMG #73 +! Template reaction: 1,2_Insertion_CO +! Flux pairs: CO(7), CH3CHO(16); CH4(2), CH3CHO(16); +! Matched reaction 3 CH4 + CO <=> C2H4O in 1,2_Insertion_CO/training +! This reaction matched rate rule [CO;C_methane] +! family: 1,2_Insertion_CO +CO(7)+CH4(2)<=>CH3CHO(16) 6.560000e+04 2.860 86.900 + +! Reaction index: Chemkin #18; RMG #76 +! Template reaction: R_Recombination +! Flux pairs: HCO(15), CH3CHO(16); CH3(10), CH3CHO(16); +! Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O] +! family: R_Recombination +HCO(15)+CH3(10)<=>CH3CHO(16) 1.810000e+13 0.000 0.000 + +! Reaction index: Chemkin #19; RMG #84 +! Template reaction: R_Recombination +! Flux pairs: CH3OO(20), CH3(10); CH3OO(20), O2(3); +! Matched reaction 0 CH3O2 <=> O2 + CH3 in R_Recombination/training +! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_1COS->O_Ext-1O-R_2R->C_3R!H->O] +! family: R_Recombination +CH3OO(20)<=>O2(3)+CH3(10) 1.090000e+14 0.250 33.300 + +! Reaction index: Chemkin #20; RMG #86 +! Template reaction: intra_H_migration +! Flux pairs: CH3OO(20), OH(17); CH3OO(20), CH2O(9); +! From training reaction 240 used for R3H_SS_O;O_rad_out;Cs_H_out_2H +! Exact match found for rate rule [R3H_SS_O;O_rad_out;Cs_H_out_2H] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: intra_H_migration +CH3OO(20)<=>OH(17)+CH2O(9) 4.710000e+08 1.450 42.270 + +! Reaction index: Chemkin #21; RMG #125 +! Template reaction: CO_Disproportionation +! Flux pairs: H(12), H2(6); HCO(15), CO(7); +! Matched reaction 0 HCO + H <=> CO + H2 in CO_Disproportionation/training +! This reaction matched rate rule [Root_N-4R->N_4BrCClFHIOPSSi->H] +! family: CO_Disproportionation +H(12)+HCO(15)<=>H2(6)+CO(7) 9.030000e+13 0.000 0.000 + +! Reaction index: Chemkin #22; RMG #128 +! Template reaction: H_Abstraction +! Flux pairs: CH4(2), CH3(10); H(12), H2(6); +! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training +! This reaction matched rate rule [H2;C_methyl] +! family: H_Abstraction +H(12)+CH4(2)<=>H2(6)+CH3(10) 4.100000e+03 3.156 8.755 + +! Reaction index: Chemkin #23; RMG #129 +! Template reaction: H_Abstraction +! Flux pairs: C2H6(8), C2H5(13); H(12), H2(6); +! Matched reaction 210 C2H6 + H <=> C2H5b + H2_p in H_Abstraction/training +! This reaction matched rate rule [H2;C_rad/H2/Cs\H3] +! family: H_Abstraction +H(12)+C2H6(8)<=>H2(6)+C2H5(13) 1.150000e+08 1.900 7.530 + +! Reaction index: Chemkin #24; RMG #131 +! Template reaction: H_Abstraction +! Flux pairs: HCO(15), CH2O(9); H2(6), H(12); +! Matched reaction 309 H2 + HCO_r3 <=> CH2O + H in H_Abstraction/training +! This reaction matched rate rule [H2;CO_pri_rad] +! family: H_Abstraction +H2(6)+HCO(15)<=>H(12)+CH2O(9) 1.800000e+06 2.000 48.940 + +! Reaction index: Chemkin #25; RMG #134 +! Template reaction: Disproportionation +! Flux pairs: H(12), H2(6); C2H5(13), C2H4(18); +! Matched reaction 4 H + C2H5 <=> H2 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_4R->H_Sp-2R!H-1R!H_2R!H-u1_N-1R!H->O_1CN->C_2R!H->C] +! family: Disproportionation +H(12)+C2H5(13)<=>H2(6)+C2H4(18) 1.083000e+13 0.000 0.000 + +! Reaction index: Chemkin #26; RMG #135 +! Template reaction: H_Abstraction +! Flux pairs: CH3CH(19), C2H5(13); H2(6), H(12); +! Estimated using an average for rate rule [H2;Y_1centerbirad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +H2(6)+CH3CH(19)<=>H(12)+C2H5(13) 2.317758e+11 0.750 21.325 + +! Reaction index: Chemkin #27; RMG #186 +! Template reaction: CO_Disproportionation +! Flux pairs: CH3(10), CH4(2); HCO(15), CO(7); +! Matched reaction 3 HCO + CH3 <=> CO + CH4 in CO_Disproportionation/training +! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_4CO->C] +! family: CO_Disproportionation +HCO(15)+CH3(10)<=>CO(7)+CH4(2) 4.000000e+13 0.000 0.000 + +! Reaction index: Chemkin #28; RMG #189 +! Template reaction: H_Abstraction +! Flux pairs: C2H6(8), C2H5(13); CH3(10), CH4(2); +! Matched reaction 215 C2H6 + CH3_r3 <=> C2H5b + CH4 in H_Abstraction/training +! This reaction matched rate rule [C_methane;C_rad/H2/Cs\H3] +! family: H_Abstraction +CH3(10)+C2H6(8)<=>CH4(2)+C2H5(13) 3.500000e+01 3.440 10.384 + +! Reaction index: Chemkin #29; RMG #191 +! Template reaction: H_Abstraction +! Flux pairs: HCO(15), CH2O(9); CH4(2), CH3(10); +! Matched reaction 318 HCO_r3 + CH4b <=> CH2O + CH3_p1 in H_Abstraction/training +! This reaction matched rate rule [C_methane;CO_pri_rad] +! family: H_Abstraction +HCO(15)+CH4(2)<=>CH2O(9)+CH3(10) 7.280000e+03 2.850 34.250 + +! Reaction index: Chemkin #30; RMG #194 +! Template reaction: H_Abstraction +! Flux pairs: OH(17), H2O(5); CH4(2), CH3(10); +! Matched reaction 188 CH4b + OH <=> CH3_p1 + H2O_p in H_Abstraction/training +! This reaction matched rate rule [C_methane;O_pri_rad] +! family: H_Abstraction +OH(17)+CH4(2)<=>H2O(5)+CH3(10) 1.000000e+06 2.182 2.506 + +! Reaction index: Chemkin #31; RMG #195 +! Template reaction: Disproportionation +! Flux pairs: CH3(10), CH4(2); C2H5(13), C2H4(18); +! Matched reaction 5 CH3_r1 + C2H5 <=> CH4 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_Sp-2R!H-1C_2R!H->C] +! family: Disproportionation +CH3(10)+C2H5(13)<=>CH4(2)+C2H4(18) 6.570000e+14 -0.680 0.000 + +! Reaction index: Chemkin #32; RMG #196 +! Template reaction: H_Abstraction +! Flux pairs: CH3CH(19), C2H5(13); CH4(2), CH3(10); +! Estimated using an average for rate rule [C_methane;Y_1centerbirad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: H_Abstraction +CH4(2)+CH3CH(19)<=>CH3(10)+C2H5(13) 2.006512e+11 0.833 15.521 + +! Reaction index: Chemkin #33; RMG #251 +! Template reaction: CO_Disproportionation +! Flux pairs: OH(17), H2O(5); HCO(15), CO(7); +! Estimated from node Root_N-4R->N_N-4BrCClFHIOPSSi->H_N-4CO->C in family CO_Disproportionation. +OH(17)+HCO(15)<=>H2O(5)+CO(7) 3.010000e+13 0.000 0.000 + +! Reaction index: Chemkin #34; RMG #254 +! Template reaction: H_Abstraction +! Flux pairs: C2H6(8), C2H5(13); OH(17), H2O(5); +! Matched reaction 212 C2H6 + OH <=> C2H5b + H2O_p in H_Abstraction/training +! This reaction matched rate rule [O_pri;C_rad/H2/Cs\H3] +! family: H_Abstraction +OH(17)+C2H6(8)<=>H2O(5)+C2H5(13) 1.610000e+06 2.224 0.741 + +! Reaction index: Chemkin #35; RMG #256 +! Template reaction: H_Abstraction +! Flux pairs: CH2O(9), HCO(15); OH(17), H2O(5); +! Matched reaction 367 OH_p23 + CH2O <=> H2O + HCO_r3 in H_Abstraction/training +! This reaction matched rate rule [O_pri;CO_pri_rad] +! family: H_Abstraction +OH(17)+CH2O(9)<=>H2O(5)+HCO(15) 3.440000e+09 1.180 -0.450 + +! Reaction index: Chemkin #36; RMG #260 +! Template reaction: Disproportionation +! Flux pairs: OH(17), H2O(5); C2H5(13), C2H4(18); +! Matched reaction 13 HO + C2H5 <=> H2O + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_4CNOS->O_Sp-2R!H-1CNS_1CNS->C_2R!H->C] +! family: Disproportionation +OH(17)+C2H5(13)<=>H2O(5)+C2H4(18) 7.230000e+13 0.000 0.000 + +! Reaction index: Chemkin #37; RMG #261 +! Template reaction: H_Abstraction +! Flux pairs: C2H5(13), CH3CH(19); OH(17), H2O(5); +! Estimated using template [Xrad_H;O_pri_rad] for rate rule [C_rad_H;O_pri_rad] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +OH(17)+C2H5(13)<=>H2O(5)+CH3CH(19) 6.000000e+13 0.000 0.000 + +! Reaction index: Chemkin #38; RMG #316 +! Template reaction: CO_Disproportionation +! Flux pairs: C2H5(13), C2H6(8); HCO(15), CO(7); +! Matched reaction 12 C2H5 + HCO <=> C2H6 + CO in CO_Disproportionation/training +! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_5R!H->C_Sp-5C-4CO_4CO->C] +! family: CO_Disproportionation +HCO(15)+C2H5(13)<=>CO(7)+C2H6(8) 4.300000e+13 0.000 0.000 + +! Reaction index: Chemkin #39; RMG #318 +! Template reaction: CO_Disproportionation +! Flux pairs: HCO(15), CH2O(9); HCO(15), CO(7); +! Matched reaction 5 HCO + HCO_Y <=> CO + CH2O in CO_Disproportionation/training +! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_N-5R!H->C_5BrClFINOPSSi->O_4CO->C_N-Sp-5O-4C] +! family: CO_Disproportionation +HCO(15)+HCO(15)<=>CO(7)+CH2O(9) 1.800000e+13 0.000 0.000 + +! Reaction index: Chemkin #40; RMG #322 +! Template reaction: CO_Disproportionation +! Flux pairs: CH3CH(19), C2H5(13); HCO(15), CO(7); +! Estimated from node Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_5R!H->C_Sp-5C-4CO_4CO->C in family CO_Disproportionation. +HCO(15)+CH3CH(19)<=>CO(7)+C2H5(13) 4.309140e+13 -0.000 0.000 + +! Reaction index: Chemkin #41; RMG #357 +! Template reaction: H_Abstraction +! Flux pairs: HCO(15), CH2O(9); C2H6(8), C2H5(13); +! Matched reaction 325 HCO_r3 + C2H6 <=> CH2O + C2H5 in H_Abstraction/training +! This reaction matched rate rule [C/H3/Cs\H3;CO_pri_rad] +! family: H_Abstraction +HCO(15)+C2H6(8)<=>CH2O(9)+C2H5(13) 4.692000e+04 2.720 38.240 + +! Reaction index: Chemkin #42; RMG #360 +! Template reaction: Disproportionation +! Flux pairs: C2H5(13), C2H6(8); C2H5(13), C2H4(18); +! Matched reaction 6 C2H5 + C2H5-2 <=> C2H6 + C2H4 in Disproportionation/training +! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C] +! family: Disproportionation +C2H5(13)+C2H5(13)<=>C2H4(18)+C2H6(8) 6.900000e+13 -0.350 0.000 + +! Reaction index: Chemkin #43; RMG #361 +! Template reaction: H_Abstraction +! Flux pairs: CH3CH(19), C2H5(13); C2H6(8), C2H5(13); +! Estimated using an average for rate rule [C/H3/Cs\H3;Y_1centerbirad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 6.0 +! family: H_Abstraction +CH3CH(19)+C2H6(8)<=>C2H5(13)+C2H5(13) 1.157245e+11 0.933 12.427 + +! Reaction index: Chemkin #44; RMG #397 +! Template reaction: Disproportionation +! Flux pairs: HCO(15), C2H4(18); C2H5(13), CH2O(9); +! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_5R!H->O_1CNS->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +HCO(15)+C2H5(13)<=>CH2O(9)+C2H4(18) 8.670000e+12 0.000 0.000 + +! Reaction index: Chemkin #45; RMG #404 +! Template reaction: H_Abstraction +! Flux pairs: CH3CH(19), C2H5(13); CH2O(9), HCO(15); +! Estimated using an average for rate rule [CO_pri;Y_1centerbirad] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: H_Abstraction +CH2O(9)+CH3CH(19)<=>HCO(15)+C2H5(13) 5.012624e+10 0.285 1.380 + +! Reaction index: Chemkin #46; RMG #456 +! Template reaction: Disproportionation +! Flux pairs: C2H5(13), C2H5(13); CH3CH(19), C2H4(18); +! Estimated from node Root_N-4R->H_N-4CNOS-u1_N-1R!H->O_Sp-2R!H-1CNS_1CNS->C_2R!H->C in family Disproportionation. +! Multiplied by reaction path degeneracy 3.0 +CH3CH(19)+C2H5(13)<=>C2H4(18)+C2H5(13) 9.030000e+13 0.000 0.000 + +END + diff --git a/ipython/data/cpox_methane/chem_annotated-surface.inp b/ipython/data/cpox_methane/chem_annotated-surface.inp new file mode 100644 index 00000000000..aca9dd38812 --- /dev/null +++ b/ipython/data/cpox_methane/chem_annotated-surface.inp @@ -0,0 +1,2523 @@ +SITE/SURF0/ SDEN/2.4830E-09/ ! mol/cm^2 + X(1) ! X(1) + HX(21) ! HX(21) + CO2X(22) ! CO2X(22) + COX(23) ! COX(23) + OX(24) ! OX(24) + CH2X(25) ! CH2X(25) + CH3X(26) ! CH3X(26) + CHX(27) ! CHX(27) + CX(28) ! CX(28) + H2X(29) ! H2X(29) + OHX(30) ! OHX(30) + H2OX(31) ! H2OX(31) + CHOX(32) ! CHOX(32) + XCH2CH3(54) ! XCH2CH3(54) + XCHCH3(64) ! XCHCH3(64) + XCH2XCH2(66)/2/ ! XCH2XCH2(66) + XCHCH2(67) ! XCHCH2(67) + CH2CH2X(68) ! CH2CH2X(68) + XCHXO(70)/2/ ! XCHXO(70) + XCOH(80) ! XCOH(80) + XCHOH(81) ! XCHOH(81) + XCCH3(96) ! XCCH3(96) + XCXCO(105)/2/ ! XCXCO(105) + XCCO(106) ! XCCO(106) + XCHCO(111) ! XCHCO(111) + XCXCH2(118)/2/ ! XCXCH2(118) + XCCH2(119) ! XCCH2(119) + XCH2XCH(122)/2/ ! XCH2XCH(122) + XCHXCH(123)/2/ ! XCHXCH(123) + CHCHX(176) ! CHCHX(176) +END + + + +THERM ALL + 300.000 1000.000 5000.000 + +! Thermo library: surfaceThermoPt111 +X(1) X 1 G 298.000 3000.000 1000.00 1 + 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2 + 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 3 + 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 4 + +! Thermo library: surfaceThermoPt111 +HX(21) H 1X 1 G 298.000 2000.000 1000.00 1 + 2.72247960E+00-1.06816957E-03 1.98653534E-06-1.12048346E-09 2.09811447E-13 2 +-5.33834283E+03-1.53207364E+01-2.07570352E+00 1.73580907E-02-2.60920836E-05 3 + 1.89282272E-08-5.38835749E-12-4.28629410E+03 8.15362620E+00 4 + +! Thermo library: surfaceThermoPt111 +CO2X(22) C 1O 2X 1 G 298.000 2000.000 1000.00 1 + 6.98298185E+00-3.09871211E-03 5.62882671E-06-3.07847266E-09 5.62448785E-13 2 +-5.01432130E+04-2.76520082E+01 2.00959624E+00 1.33597621E-02-1.62303952E-05 3 + 1.10029588E-08-3.14484938E-12-4.88915555E+04-2.59292675E+00 4 + +! Thermo library: surfaceThermoPt111 +COX(23) C 1O 1X 1 G 298.000 2000.000 1000.00 1 + 5.48655965E+00-1.68118060E-03 3.09029814E-06-1.71186421E-09 3.15864230E-13 2 +-3.02504824E+04-2.76788160E+01 1.42894816E+00 1.40374567E-02-2.21178962E-05 3 + 1.78659585E-08-5.71478989E-12-2.93377830E+04-7.78264626E+00 4 + +! Thermo library: surfaceThermoPt111 +OX(24) O 1X 1 G 298.000 2000.000 1000.00 1 + 2.90244107E+00-3.38576310E-04 6.43364262E-07-3.66322914E-10 6.90087688E-14 2 +-1.36543831E+04-1.52559382E+01-2.94477587E-01 1.44162684E-02-2.61322747E-05 3 + 2.19005961E-08-6.98019726E-12-1.30665623E+04-1.99436466E-01 4 + +! Thermo library: surfaceThermoPt111 +CH2X(25) C 1H 2X 1 G 298.000 2000.000 1000.00 1 + 6.83459305E+00-5.14925435E-03 9.15490095E-06-4.84916961E-09 8.63765861E-13 2 +-2.66347873E+03-3.62214989E+01-2.23007140E+00 2.92223049E-02-4.33155010E-05 3 + 3.31428200E-08-9.96471660E-12-6.26760839E+02 8.30175061E+00 4 + +! Thermo library: surfaceThermoPt111 +CH3X(26) C 1H 3X 1 G 298.000 2000.000 1000.00 1 + 8.65704488E+00-7.90307727E-03 1.40100433E-05-7.40016052E-09 1.31516588E-12 2 +-1.01605953E+04-4.43352536E+01-4.44574492E-02 1.94367746E-02-1.91028792E-05 3 + 1.11269376E-08-2.73735931E-12-7.91264761E+03-1.73363631E-01 4 + +! Thermo library: surfaceThermoPt111 +CHX(27) C 1H 1X 1 G 298.000 2000.000 1000.00 1 + 4.90429627E+00-2.63864718E-03 4.71728940E-06-2.51266853E-09 4.49659036E-13 2 +-3.74880735E+03-2.67107807E+01-2.66805407E+00 2.90693605E-02-4.82653639E-05 3 + 3.87589263E-08-1.19749398E-11-2.20255536E+03 9.72943273E+00 4 + +! Thermo library: surfaceThermoPt111 +CX(28) C 1X 1 G 298.000 2000.000 1000.00 1 + 2.81347906E+00-6.93962433E-04 1.30309030E-06-7.38705282E-10 1.38796644E-13 2 + 7.89572752E+03-1.55738741E+01-1.94351174E+00 1.97767481E-02-3.36336700E-05 3 + 2.69027206E-08-8.27958862E-12 8.83627043E+03 7.17471163E+00 4 + +! Thermo library: surfaceThermoPt111 +H2X(29) H 2X 1 G 298.000 2000.000 1000.00 1 + 4.06879706E+00-4.95807479E-04 6.59235100E-07-1.72598058E-10 7.62971064E-15 2 +-3.94091046E+03-9.71918064E+00 3.86406403E+00 7.53456762E-04-1.65571464E-06 3 + 1.55223218E-09-4.46781999E-13-3.92948485E+03-8.85806484E+00 4 + +! Thermo library: surfaceThermoPt111 +OHX(30) H 1O 1X 1 G 298.000 2000.000 1000.00 1 + 3.95939930E+00-1.65986776E-03 2.83126639E-06-1.40393699E-09 2.37010707E-13 2 +-1.88321114E+04-1.36888724E+01 6.89851980E-01 1.15607233E-02-1.81720747E-05 3 + 1.40194900E-08-4.13411896E-12-1.81533768E+04 2.12907995E+00 4 + +! Thermo library: surfaceThermoPt111 +H2OX(31) H 2O 1X 1 G 298.000 2000.000 1000.00 1 + 5.85496927E+00-3.28848314E-03 5.56991427E-06-2.73008501E-09 4.55898715E-13 2 +-3.21494868E+04-2.13518731E+01 2.72971274E+00 8.71052014E-03-1.29131852E-05 3 + 1.07295002E-08-3.39433374E-12-3.14575485E+04-6.04478964E+00 4 + +! Thermo library: surfaceThermoPt111 +CHOX(32) C 1H 1O 1X 1G 298.000 2000.000 1000.00 1 + 7.47249774E+00-4.25651788E-03 7.67239688E-06-4.15094029E-09 7.52056996E-13 2 +-2.54909110E+04-3.52777249E+01 1.33924811E+00 1.56187944E-02-1.78706100E-05 3 + 1.16103371E-08-3.20827612E-12-2.39292346E+04-4.27822204E+00 4 + +! Thermo library: surfaceThermoPt111 +XCH2CH3(54) C 2H 5X 1 G 298.000 2000.000 1000.00 1 + 1.50607594E+01-1.48576179E-02 2.64630594E-05-1.40881050E-08 2.51997765E-12 2 +-1.68078880E+04-7.82120078E+01 1.18931248E-01 2.54181066E-02-9.60813724E-06 3 +-4.29518492E-09 3.46435785E-12-1.26172959E+04-7.38043167E-01 4 + +! Thermo library: surfaceThermoPt111 +XCHCH3(64) C 2H 4X 1 G 298.000 2000.000 1000.00 1 + 1.32389476E+01-1.20662435E-02 2.15309277E-05-1.14893088E-08 2.05901969E-12 2 +-1.02396069E+04-7.02795488E+01-1.02965056E+00 3.05643884E-02-2.57333995E-05 3 + 1.12938146E-08-1.82181022E-12-6.45116380E+03 2.66180041E+00 4 + +! Thermo library: surfaceThermoPt111 +XCH2XCH2(66) C 2H 4X 2 G 298.000 2000.000 1000.00 1 + 1.32290080E+01-1.18706777E-02 2.11521841E-05-1.12641704E-08 2.01567079E-12 2 +-1.34206522E+04-7.01190966E+01-2.67192838E+00 3.80645354E-02-3.82436403E-05 3 + 2.04023331E-08-4.28928498E-12-9.34434900E+03 1.05041174E+01 4 + +! Thermo library: surfaceThermoPt111 +XCHCH2(67) C 2H 3X 1 G 298.000 2000.000 1000.00 1 + 1.13486303E+01-8.90556126E-03 1.58461703E-05-8.41756582E-09 1.50324480E-12 2 +-7.27897213E+01-5.79325824E+01-3.08863011E-01 2.83917093E-02-3.01517639E-05 3 + 1.77197663E-08-4.27593032E-12 2.89021507E+03 1.02857491E+00 4 + +! Thermo library: surfaceThermoPt111 +CH2CH2X(68) C 2H 4X 1 G 298.000 2000.000 1000.00 1 + 1.21842218E+01-1.15021169E-02 2.03950367E-05-1.07880351E-08 1.91997735E-12 2 +-4.38056356E+03-5.56581039E+01 1.30720366E+00 1.65960850E-02-1.65594391E-06 3 +-8.53643523E-09 4.49817426E-12-1.28085886E+03 1.00988157E+00 4 + +! Thermo library: surfaceThermoPt111 +XCHXO(70) C 1H 1O 1X 2G 298.000 2000.000 1000.00 1 + 7.63455293E+00-3.73565753E-03 6.72664791E-06-3.63437587E-09 6.57956543E-13 2 +-2.20908199E+04-3.67791152E+01 8.73094515E-01 1.93259165E-02-2.43372881E-05 3 + 1.61326695E-08-4.34526852E-12-2.04466195E+04-2.94043006E+00 4 + +! Thermo library: surfaceThermoPt111 +XCOH(80) C 1H 1O 1X 1G 298.000 2000.000 1000.00 1 + 7.57277695E+00-3.16578459E-03 5.61811927E-06-2.96831941E-09 5.28683983E-13 2 +-2.80009212E+04-3.88297161E+01 2.81389530E-01 2.36061086E-02-3.32958999E-05 3 + 2.35937587E-08-6.59988062E-12-2.63389472E+04-2.84936464E+00 4 + +! Thermo library: surfaceThermoPt111 +XCHOH(81) C 1H 2O 1X 1G 298.000 2000.000 1000.00 1 + 8.40355861E+00-6.56451865E-03 1.17183675E-05-6.25847190E-09 1.12274948E-12 2 +-2.56433538E+04-3.79681005E+01-5.00708880E-01 2.03875211E-02-1.83412432E-05 3 + 8.05213096E-09-1.17601493E-12-2.33131337E+04 7.42265604E+00 4 + +! Thermo library: surfaceThermoPt111 +XCCH3(96) C 2H 3X 1 G 298.000 2000.000 1000.00 1 + 1.13071046E+01-9.36625341E-03 1.67150071E-05-8.92182977E-09 1.59934040E-12 2 +-1.39652458E+04-5.79411715E+01 4.57234129E-01 2.22262410E-02-1.66721437E-05 3 + 5.72136061E-09-3.99323091E-13-1.10436372E+04-2.27323815E+00 4 + +! Thermo library: surfaceThermoPt111 +XCXCO(105) C 2O 1X 2 G 298.000 2000.000 1000.00 1 + 8.17818492E+00-2.74873032E-03 5.05297612E-06-2.80344988E-09 5.18026205E-13 2 +-1.39471063E+04-4.05107308E+01 8.97579990E-01 2.46743251E-02-3.70136273E-05 3 + 2.82073324E-08-8.56860314E-12-1.22911976E+04-4.67311751E+00 4 + +! Thermo library: surfaceThermoPt111 +XCCO(106) C 2O 1X 1 G 298.000 2000.000 1000.00 1 + 8.07082355E+00-3.00852262E-03 5.51540020E-06-3.04805867E-09 5.61469536E-13 2 +-1.47647441E+04-4.08626151E+01 4.82293028E-01 2.58715712E-02-3.93603948E-05 3 + 3.04629752E-08-9.36533266E-12-1.30500602E+04-3.57374374E+00 4 + +! Thermo library: surfaceThermoPt111 +XCHCO(111) C 2H 1O 1X 1G 298.000 2000.000 1000.00 1 + 9.11773351E+00-5.00205029E-03 8.99634100E-06-4.84654156E-09 8.75266156E-13 2 +-1.22073761E+04-4.09366092E+01 4.25493544E-02 2.79328238E-02-3.94277514E-05 3 + 2.93799163E-08-8.78678926E-12-1.00824682E+04 4.03640870E+00 4 + +! Thermo library: surfaceThermoPt111 +XCXCH2(118) C 2H 2X 2 G 298.000 2000.000 1000.00 1 + 9.43020620E+00-6.45954121E-03 1.15448642E-05-6.16904076E-09 1.10713347E-12 2 +-3.66518703E+03-5.01224037E+01-1.79816112E+00 3.26996512E-02-4.25662671E-05 3 + 2.91542684E-08-8.03586947E-12-9.81598852E+02 5.84809747E+00 4 + +! Thermo library: surfaceThermoPt111 +XCCH2(119) C 2H 2X 1 G 298.000 2000.000 1000.00 1 + 9.50738620E+00-5.96521486E-03 1.06150130E-05-5.63034335E-09 1.00413638E-12 2 + 1.18564295E+04-4.81889471E+01 3.53716832E-01 2.73804972E-02-3.86126354E-05 3 + 2.92701458E-08-8.86074702E-12 1.39943134E+04-2.85680258E+00 4 + +! Thermo library: surfaceThermoPt111 +XCH2XCH(122) C 2H 3X 2 G 298.000 2000.000 1000.00 1 + 1.14364322E+01-9.00409359E-03 1.60927793E-05-8.59946784E-09 1.54310878E-12 2 +-6.17387487E+03-6.22564594E+01-4.49842378E+00 4.74505594E-02-6.33178514E-05 3 + 4.41445523E-08-1.23100777E-11-2.41150295E+03 1.69502447E+01 4 + +! Thermo library: surfaceThermoPt111 +XCHXCH(123) C 2H 2X 2 G 298.000 2000.000 1000.00 1 + 9.50734251E+00-6.29447123E-03 1.12600099E-05-6.02345902E-09 1.08201061E-12 2 +-1.03888642E+03-5.12967728E+01-3.12099318E+00 3.94849238E-02-5.46713898E-05 3 + 3.87299963E-08-1.08911043E-11 1.88314416E+03 1.11984448E+01 4 + +! Thermo library: surfaceThermoPt111 +CHCHX(176) C 2H 2X 1 G 298.000 2000.000 1000.00 1 + 8.53228527E+00-4.93781311E-03 8.64081803E-06-4.46203770E-09 7.78651926E-13 2 + 2.02566911E+04-3.66656834E+01 4.72391006E-01 2.77615181E-02-4.48825413E-05 3 + 3.68137783E-08-1.16132417E-11 2.19674643E+04 2.41181029E+00 4 + +END + + + +REACTIONS KCAL/MOLE MOLES + +! Reaction index: Chemkin #1; RMG #1 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: H2(6), HX(21); X(1), HX(21); X(1), HX(21); +X(1)+X(1)+H2(6)<=>HX(21)+HX(21) 4.600e-02 0.000 0.000 + STICK + +! Reaction index: Chemkin #2; RMG #2 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: O2(3), OX(24); X(1), OX(24); X(1), OX(24); +X(1)+X(1)+O2(3)<=>OX(24)+OX(24) 1.890000e+21 -0.500 0.000 + +! Reaction index: Chemkin #3; RMG #3 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CH4(2), CH3X(26); X(1), OHX(30); OX(24), OHX(30); +X(1)+OX(24)+CH4(2)<=>OHX(30)+CH3X(26) 5.000000e+18 0.700 10.038 + +! Reaction index: Chemkin #4; RMG #4 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CH4(2), CH3X(26); X(1), H2OX(31); OHX(30), H2OX(31); +X(1)+OHX(30)+CH4(2)<=>H2OX(31)+CH3X(26) 1.000e+00 0.000 2.390 + STICK + +! Reaction index: Chemkin #5; RMG #5 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: X(1), H2OX(31); H2O(5), H2OX(31); +X(1)+H2O(5)<=>H2OX(31) 7.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #6; RMG #6 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: X(1), CO2X(22); CO2(4), CO2X(22); +X(1)+CO2(4)<=>CO2X(22) 5.000e-03 0.000 0.000 + STICK + +! Reaction index: Chemkin #7; RMG #7 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: COX(23), X(1); COX(23), CO(7); +COX(23)<=>X(1)+CO(7) 1.000000e+11 0.000 40.511 + +! Reaction index: Chemkin #8; RMG #8 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: COX(23), CX(28); X(1), OX(24); +X(1)+COX(23)<=>OX(24)+CX(28) 3.700000e+19 0.000 56.525 + +! Reaction index: Chemkin #9; RMG #9 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: COX(23), CO2X(22); OX(24), X(1); +OX(24)+COX(23)<=>X(1)+CO2X(22) 3.700000e+21 0.000 28.107 + +! Reaction index: Chemkin #10; RMG #10 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: COX(23), CO2X(22); OHX(30), HX(21); +OHX(30)+COX(23)<=>HX(21)+CO2X(22) 1.000000e+19 0.000 9.250 + +! Reaction index: Chemkin #11; RMG #11 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CH2X(25), CH3X(26); HX(21), X(1); +HX(21)+CH2X(25)<=>X(1)+CH3X(26) 3.090000e+22 0.000 0.000 + +! Reaction index: Chemkin #12; RMG #12 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CH2X(25), CHX(27); X(1), HX(21); +X(1)+CH2X(25)<=>HX(21)+CHX(27) 7.310000e+22 0.000 14.077 + +! Reaction index: Chemkin #13; RMG #13 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CHX(27), CX(28); X(1), HX(21); +X(1)+CHX(27)<=>HX(21)+CX(28) 3.090000e+22 0.000 12.357 + +! Reaction index: Chemkin #14; RMG #14 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: OHX(30), OX(24); X(1), HX(21); +X(1)+OHX(30)<=>OX(24)+HX(21) 7.390000e+19 0.000 18.475 + +! Reaction index: Chemkin #15; RMG #15 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: H2OX(31), OHX(30); X(1), HX(21); +X(1)+H2OX(31)<=>HX(21)+OHX(30) 1.150000e+19 0.000 24.235 + +! Reaction index: Chemkin #16; RMG #16 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: H2OX(31), OHX(30); OX(24), OHX(30); +OX(24)+H2OX(31)<=>OHX(30)+OHX(30) 1.000000e+20 0.000 21.630 + +! Reaction index: Chemkin #17; RMG #17 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: H2(6), CH2X(25); CX(28), CH2X(25); +H2(6)+CX(28)<=>CH2X(25) 4.000e-02 0.000 7.098 + STICK + +! Reaction index: Chemkin #18; RMG #18 +! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted +! Flux pairs: CH3X(26), CH4(2); HX(21), X(1); HX(21), X(1); +HX(21)+CH3X(26)<=>X(1)+X(1)+CH4(2) 3.300000e+21 0.000 11.950 + +! Reaction index: Chemkin #19; RMG #49 +! Template reaction: Surface_Adsorption_Single +! Flux pairs: H(12), HX(21); X(1), HX(21); +! Estimated using template [Adsorbate;VacantSite] for rate rule [H;VacantSite] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Single +X(1)+H(12)<=>HX(21) 8.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #20; RMG #52 +! Template reaction: Surface_Adsorption_Single +! Flux pairs: OH(17), OHX(30); X(1), OHX(30); +! Estimated using template [Adsorbate;VacantSite] for rate rule [O-H;VacantSite] +! Euclidian distance = 2.0 +! family: Surface_Adsorption_Single +X(1)+OH(17)<=>OHX(30) 8.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #21; RMG #53 +! Template reaction: Surface_Adsorption_Single +! Flux pairs: CH3(10), CH3X(26); X(1), CH3X(26); +! Estimated using template [Adsorbate;VacantSite] for rate rule [CH2-H;VacantSite] +! Euclidian distance = 2.0 +! family: Surface_Adsorption_Single +X(1)+CH3(10)<=>CH3X(26) 8.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #22; RMG #87 +! Template reaction: Surface_Adsorption_vdW +! Flux pairs: H2(6), H2X(29); X(1), H2X(29); +! Estimated using template [Adsorbate;VacantSite] for rate rule [H2;VacantSite] +! Euclidian distance = 2.0 +! family: Surface_Adsorption_vdW +X(1)+H2(6)<=>H2X(29) 8.000e-03 0.000 0.000 + STICK + +! Reaction index: Chemkin #23; RMG #88 +! Template reaction: Surface_Adsorption_Single +! Flux pairs: HCO(15), CHOX(32); X(1), CHOX(32); +! Estimated using template [Adsorbate;VacantSite] for rate rule [CH=O;VacantSite] +! Euclidian distance = 2.0 +! family: Surface_Adsorption_Single +X(1)+HCO(15)<=>CHOX(32) 8.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #24; RMG #90 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: H2O(5), OHX(30); X(1), HX(21); X(1), HX(21); +! Estimated using template [O-H;VacantSite1;VacantSite2] for rate rule [H2O;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+H2O(5)<=>HX(21)+OHX(30) 2.000e-01 0.000 35.642 + STICK + +! Reaction index: Chemkin #25; RMG #92 +! Template reaction: Surface_Adsorption_Dissociative_Double +! Flux pairs: CO2(4), COX(23); X(1), OX(24); X(1), OX(24); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [CO2;VacantSite1;VacantSite2] +! Euclidian distance = 2.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Adsorption_Dissociative_Double +! Ea raised from 50.8 to 51.6 kJ/mol to match endothermicity of reaction. +X(1)+X(1)+CO2(4)<=>OX(24)+COX(23) 2.000e-02 0.000 12.324 + STICK + +! Reaction index: Chemkin #26; RMG #95 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: C2H6(8), CH3X(26); X(1), CH3X(26); X(1), CH3X(26); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+C2H6(8)<=>CH3X(26)+CH3X(26) 1.500e-02 0.000 1.195 + STICK + +! Reaction index: Chemkin #27; RMG #99 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: CH2O(9), CHOX(32); X(1), HX(21); X(1), HX(21); +! Exact match found for rate rule [C-H;VacantSite1;VacantSite2] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+CH2O(9)<=>HX(21)+CHOX(32) 2.000e-01 0.000 6.499 + STICK + +! Reaction index: Chemkin #28; RMG #100 +! Template reaction: Surface_Adsorption_Dissociative_Double +! Flux pairs: CH2O(9), CH2X(25); X(1), OX(24); X(1), OX(24); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [OC;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Dissociative_Double +X(1)+X(1)+CH2O(9)<=>OX(24)+CH2X(25) 1.000e-02 0.000 10.000 + STICK + +! Reaction index: Chemkin #29; RMG #104 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: CH3OH(14), CH3X(26); X(1), OHX(30); X(1), OHX(30); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [O-C;VacantSite1;VacantSite2] +! Euclidian distance = 2.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+CH3OH(14)<=>OHX(30)+CH3X(26) 1.500e-02 0.000 1.195 + STICK + +! Reaction index: Chemkin #30; RMG #109 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: CH3CHO(16), CHOX(32); X(1), CH3X(26); X(1), CH3X(26); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+CH3CHO(16)<=>CHOX(32)+CH3X(26) 1.500e-02 0.000 1.195 + STICK + +! Reaction index: Chemkin #31; RMG #116 +! Template reaction: Surface_Adsorption_Dissociative_Double +! Flux pairs: C2H4(18), CH2X(25); X(1), CH2X(25); X(1), CH2X(25); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [CC;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Dissociative_Double +X(1)+X(1)+C2H4(18)<=>CH2X(25)+CH2X(25) 1.000e-02 0.000 10.000 + STICK + +! Reaction index: Chemkin #32; RMG #119 +! Template reaction: Surface_Dissociation +! Flux pairs: COX(23), CHOX(32); HX(21), CHOX(32); +! Matched reaction 26 OCX_3 + HX_5 <=> CXHO_1 + Ni_4 in Surface_Dissociation/training +! This reaction matched rate rule [C-H;VacantSite] +! family: Surface_Dissociation +! metal: None +HX(21)+COX(23)<=>X(1)+CHOX(32) 3.140000e+21 0.000 22.830 + +! Reaction index: Chemkin #33; RMG #120 +! Template reaction: Surface_Dissociation_Double +! Flux pairs: CHOX(32), CHX(27); CHOX(32), OX(24); +! Exact match found for rate rule [C=O;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Double +X(1)+CHOX(32)<=>OX(24)+CHX(27) 4.180000e+21 0.000 46.687 + +! Reaction index: Chemkin #34; RMG #137 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: OX(24), OHX(30); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=O] for rate rule [H-H;*=O] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +OX(24)+H2X(29)<=>HX(21)+OHX(30) 4.782614e+24 -0.188 37.177 + +! Reaction index: Chemkin #35; RMG #138 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2X(25), CH3X(26); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+CH2X(25)<=>HX(21)+CH3X(26) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #36; RMG #143 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CHX(27), CH2X(25); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#CH] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+CHX(27)<=>HX(21)+CH2X(25) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #37; RMG #144 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CX(28), CHX(27); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*$C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+CX(28)<=>HX(21)+CHX(27) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #38; RMG #145 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: COX(23), CHOX(32); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+COX(23)<=>HX(21)+CHOX(32) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #39; RMG #170 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); OHX(30), OX(24); +! Matched reaction 24 CH2X_1 + HOX_3 <=> CH3X_4 + OX_5 in Surface_Abstraction/training +! This reaction matched rate rule [O;*-CH2-H] +! family: Surface_Abstraction +! metal: None +OHX(30)+CH2X(25)<=>OX(24)+CH3X(26) 1.390000e+21 0.101 4.541 + +! Reaction index: Chemkin #40; RMG #175 +! Template reaction: Surface_Abstraction +! Flux pairs: CHX(27), CH2X(25); OHX(30), OX(24); +! Matched reaction 26 CHX_1 + HOX_3 <=> CH2X_4 + OX_5 in Surface_Abstraction/training +! This reaction matched rate rule [O;*=CH-H] +! family: Surface_Abstraction +! metal: None +! Ea raised from 42.4 to 55.0 kJ/mol to match endothermicity of reaction. +OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 4.400000e+22 0.101 13.148 + +! Reaction index: Chemkin #41; RMG #178 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), CHX(27); OHX(30), OX(24); +! Matched reaction 28 CX_1 + HOX_3 <=> CHX_4 + OX_5 in Surface_Abstraction/training +! This reaction matched rate rule [O;*#C-H] +! family: Surface_Abstraction +! metal: None +OHX(30)+CX(28)<=>OX(24)+CHX(27) 2.430000e+21 -0.312 28.418 + +! Reaction index: Chemkin #42; RMG #180 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); OX(24), OHX(30); +! Matched reaction 39 OX_1 + HCOX_3 <=> HOX_4 + COX_5 in Surface_Abstraction/training +! This reaction matched rate rule [O;*-C-H] +! family: Surface_Abstraction +! metal: None +OX(24)+CHOX(32)<=>OHX(30)+COX(23) 3.298000e+21 0.000 0.000 + +! Reaction index: Chemkin #43; RMG #199 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2X(25), CH3X(26); H2OX(31), OHX(30); +! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+CH2X(25)<=>OHX(30)+CH3X(26) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #44; RMG #208 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CHX(27), CH2X(25); H2OX(31), OHX(30); +! Estimated using template [O-R;*C] for rate rule [O-R;*#CH] +! Euclidian distance = 2.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +! Ea raised from 120.8 to 122.6 kJ/mol to match endothermicity of reaction. +H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 1.534107e+22 -0.150 29.304 + +! Reaction index: Chemkin #45; RMG #210 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CX(28), CHX(27); H2OX(31), OHX(30); +! Estimated using template [O-R;*C] for rate rule [O-R;*$C] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+CX(28)<=>OHX(30)+CHX(27) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #46; RMG #213 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CHOX(32), COX(23); OHX(30), H2OX(31); +! Matched reaction 40 OH_2* + HCO* <=> H2O* + CO* in Surface_Abstraction_vdW/training +! This reaction matched rate rule [O-R;*=C=R] +! family: Surface_Abstraction_vdW +! metal: None +OHX(30)+CHOX(32)<=>H2OX(31)+COX(23) 3.261000e+21 0.000 6.918 + +! Reaction index: Chemkin #47; RMG #225 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); CHOX(32), COX(23); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+CH2X(25)<=>COX(23)+CH3X(26) 4.180000e+21 0.000 14.635 + +! Reaction index: Chemkin #48; RMG #229 +! Template reaction: Surface_Abstraction +! Flux pairs: CH3X(26), CH2X(25); CX(28), CHX(27); +! Estimated using template [Abstracting;*-C-H] for rate rule [C$*;*-CH2-H] +! Euclidian distance = 2.8284271247461903 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction +CX(28)+CH3X(26)<=>CHX(27)+CH2X(25) 9.894000e+21 0.000 0.000 + +! Reaction index: Chemkin #49; RMG #233 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); CH2X(25), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+CH2X(25)<=>CHX(27)+CH3X(26) 8.360000e+21 0.000 17.379 + +! Reaction index: Chemkin #50; RMG #304 +! Template reaction: Surface_Abstraction +! Flux pairs: CHX(27), CH2X(25); CHOX(32), COX(23); +! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHX(27)+CHOX(32)<=>COX(23)+CH2X(25) 4.180000e+21 0.000 20.989 + +! Reaction index: Chemkin #51; RMG #309 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), CHX(27); CHOX(32), COX(23); +! Estimated using template [C;*C-H] for rate rule [C$*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CX(28)+CHOX(32)<=>COX(23)+CHX(27) 4.180000e+21 0.000 11.654 + +! Reaction index: Chemkin #52; RMG #338 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); CX(28), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C$*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CX(28)+CH2X(25)<=>CHX(27)+CHX(27) 8.360000e+21 0.000 14.398 + +! Reaction index: Chemkin #53; RMG #142 +! Template reaction: Surface_Dissociation_Beta +! Flux pairs: XCOH(80), HX(21); XCOH(80), COX(23); +! Exact match found for rate rule [O-H;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Beta +X(1)+XCOH(80)<=>HX(21)+COX(23) 4.180000e+21 0.000 13.735 + +! Reaction index: Chemkin #54; RMG #204 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), COX(23); OX(24), OHX(30); +! Exact match found for rate rule [O;R-O-H] +! Euclidian distance = 0 +! family: Surface_Abstraction_Beta +OX(24)+XCOH(80)<=>OHX(30)+COX(23) 4.180000e+21 0.000 0.000 + +! Reaction index: Chemkin #55; RMG #207 +! Template reaction: Surface_Dissociation +! Flux pairs: XCOH(80), OHX(30); XCOH(80), CX(28); +! Estimated using an average for rate rule [C-O;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +! Ea raised from 139.5 to 140.2 kJ/mol to match endothermicity of reaction. +X(1)+XCOH(80)<=>OHX(30)+CX(28) 1.460000e+24 -0.213 33.508 + +! Reaction index: Chemkin #56; RMG #226 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), COX(23); CH2X(25), CH3X(26); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+CH2X(25)<=>COX(23)+CH3X(26) 4.180000e+21 0.000 12.430 + +! Reaction index: Chemkin #57; RMG #244 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CX(28), XCOH(80); H2OX(31), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [AdsorbateVdW;*$C] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+CX(28)<=>HX(21)+XCOH(80) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #58; RMG #305 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), COX(23); CHX(27), CH2X(25); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +CHX(27)+XCOH(80)<=>COX(23)+CH2X(25) 4.180000e+21 0.000 28.573 + +! Reaction index: Chemkin #59; RMG #310 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), COX(23); CX(28), CHX(27); +! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +CX(28)+XCOH(80)<=>COX(23)+CHX(27) 4.180000e+21 0.000 4.857 + +! Reaction index: Chemkin #60; RMG #313 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), CHOX(32); COX(23), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +COX(23)+XCOH(80)<=>COX(23)+CHOX(32) 4.180000e+21 0.000 35.544 + +! Reaction index: Chemkin #61; RMG #146 +! Template reaction: Surface_Dissociation_Beta +! Flux pairs: XCHOH(81), HX(21); XCHOH(81), CHOX(32); +! Exact match found for rate rule [O-H;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Beta +X(1)+XCHOH(81)<=>HX(21)+CHOX(32) 4.180000e+21 0.000 15.143 + +! Reaction index: Chemkin #62; RMG #211 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHOH(81), OHX(30); XCHOH(81), CHX(27); +! Estimated using an average for rate rule [C-O;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +X(1)+XCHOH(81)<=>OHX(30)+CHX(27) 1.460000e+24 -0.213 12.978 + +! Reaction index: Chemkin #63; RMG #212 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), CHOX(32); OX(24), OHX(30); +! Exact match found for rate rule [O;R-O-H] +! Euclidian distance = 0 +! family: Surface_Abstraction_Beta +OX(24)+XCHOH(81)<=>OHX(30)+CHOX(32) 4.180000e+21 0.000 0.000 + +! Reaction index: Chemkin #64; RMG #236 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), CHOX(32); CH2X(25), CH3X(26); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +CH2X(25)+XCHOH(81)<=>CHOX(32)+CH3X(26) 4.180000e+21 0.000 17.520 + +! Reaction index: Chemkin #65; RMG #246 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CHX(27), XCHOH(81); H2OX(31), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [AdsorbateVdW;*#CH] +! Euclidian distance = 2.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #66; RMG #347 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), CHOX(32); CHX(27), CH2X(25); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +CHX(27)+XCHOH(81)<=>CHOX(32)+CH2X(25) 4.180000e+21 0.000 33.663 + +! Reaction index: Chemkin #67; RMG #351 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), CHOX(32); CX(28), CHX(27); +! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +CX(28)+XCHOH(81)<=>CHX(27)+CHOX(32) 4.180000e+21 0.000 9.947 + +! Reaction index: Chemkin #68; RMG #548 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), CHOX(32); COX(23), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +COX(23)+XCHOH(81)<=>CHOX(32)+CHOX(32) 4.180000e+21 0.000 40.634 + +! Reaction index: Chemkin #69; RMG #554 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHOH(81), HX(21); XCHOH(81), XCOH(80); +! Estimated using template [C-H;VacantSite] for rate rule [CHR;VacantSite] +! Euclidian distance = 1.0 +! family: Surface_Dissociation +X(1)+XCHOH(81)<=>HX(21)+XCOH(80) 3.710000e+21 0.000 0.000 + +! Reaction index: Chemkin #70; RMG #558 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCOH(80), XCHOH(81); +! From training reaction 26 used for C#*;*OH +! Exact match found for rate rule [C#*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +! Ea raised from 63.3 to 65.8 kJ/mol to match endothermicity of reaction. +OHX(30)+XCOH(80)<=>OX(24)+XCHOH(81) 4.400000e+22 0.101 15.732 + +! Reaction index: Chemkin #71; RMG #561 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); XCHOH(81), XCOH(80); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CH2X(25)+XCHOH(81)<=>XCOH(80)+CH3X(26) 4.180000e+21 0.000 16.639 + +! Reaction index: Chemkin #72; RMG #564 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCOH(80), XCHOH(81); H2OX(31), OHX(30); +! Estimated using template [O-R;*C] for rate rule [O-R;*#C] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +! Ea raised from 129.2 to 133.4 kJ/mol to match endothermicity of reaction. +H2OX(31)+XCOH(80)<=>OHX(30)+XCHOH(81) 1.534107e+22 -0.150 31.888 + +! Reaction index: Chemkin #73; RMG #572 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); XCOH(80), XCHOH(81); +! Estimated using template [C;*C-H] for rate rule [C#*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCOH(80)+CH2X(25)<=>CHX(27)+XCHOH(81) 8.360000e+21 0.000 24.474 + +! Reaction index: Chemkin #74; RMG #575 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), XCOH(80); XCHOH(81), CHX(27); +! Estimated using template [C$*;Donating] for rate rule [C$*;*=C-OH] +! Euclidian distance = 4.0 +! family: Surface_Abstraction +CX(28)+XCHOH(81)<=>CHX(27)+XCOH(80) 2.430000e+21 -0.312 28.418 +DUPLICATE + +! Reaction index: Chemkin #75; RMG #577 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCOH(80), XCHOH(81); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCOH(80)<=>HX(21)+XCHOH(81) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #76; RMG #578 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); XCOH(80), XCHOH(81); +! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCOH(80)<=>COX(23)+XCHOH(81) 4.180000e+21 0.000 21.730 + +! Reaction index: Chemkin #77; RMG #583 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCOH(80), XCHOH(81); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCOH(80)<=>COX(23)+XCHOH(81) 4.180000e+21 0.000 30.454 + +! Reaction index: Chemkin #78; RMG #605 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHOH(81), XCOH(80); CX(28), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CX(28)+XCHOH(81)<=>CHX(27)+XCOH(80) 4.180000e+21 0.000 13.658 +DUPLICATE + +! Reaction index: Chemkin #79; RMG #619 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHOH(81), XCHOH(81); XCOH(80), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCHOH(81)<=>CHOX(32)+XCHOH(81) 4.180000e+21 0.000 35.544 + +! Reaction index: Chemkin #80; RMG #339 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: XCXCH2(118), CH2X(25); XCXCH2(118), CX(28); +! From training reaction 1 used for Combined +! Exact match found for rate rule [Combined] +! Euclidian distance = 0 +! family: Surface_Bidentate_Dissociation +XCXCH2(118)<=>CX(28)+CH2X(25) 4.220000e+12 0.000 24.857 + +! Reaction index: Chemkin #81; RMG #230 +! Template reaction: Surface_Dissociation +! Flux pairs: XCCH3(96), CH3X(26); XCCH3(96), CX(28); +! Exact match found for rate rule [C-C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +X(1)+XCCH3(96)<=>CX(28)+CH3X(26) 4.180000e+21 0.000 46.998 + +! Reaction index: Chemkin #82; RMG #638 +! Template reaction: Surface_Dissociation_to_Bidentate +! Flux pairs: XCXCH2(118), XCCH3(96); HX(21), X(1); HX(21), X(1); +! Matched reaction 4 XCXCH2 + H_X <=> XCCH3 + Pt_5 + Pt_6 in Surface_Dissociation_to_Bidentate/training +! This reaction matched rate rule [Combined;VacantSite1;VacantSite2] +! family: Surface_Dissociation_to_Bidentate +! metal: None +HX(21)+XCXCH2(118)<=>X(1)+X(1)+XCCH3(96) 1.070000e+22 0.000 17.208 + +! Reaction index: Chemkin #83; RMG #112 +! Template reaction: Surface_Adsorption_Dissociative_Double +! Flux pairs: CH3CHO(16), XCHCH3(64); X(1), OX(24); X(1), OX(24); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [OC;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Dissociative_Double +X(1)+X(1)+CH3CHO(16)<=>OX(24)+XCHCH3(64) 1.000e-02 0.000 10.000 + STICK + +! Reaction index: Chemkin #84; RMG #235 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHCH3(64), CH3X(26); XCHCH3(64), CHX(27); +! Exact match found for rate rule [C-C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +X(1)+XCHCH3(64)<=>CHX(27)+CH3X(26) 4.180000e+21 0.000 24.965 + +! Reaction index: Chemkin #85; RMG #671 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHCH3(64), HX(21); XCHCH3(64), XCCH3(96); +! Estimated using template [C-H;VacantSite] for rate rule [CHR;VacantSite] +! Euclidian distance = 1.0 +! family: Surface_Dissociation +X(1)+XCHCH3(64)<=>HX(21)+XCCH3(96) 3.710000e+21 0.000 0.000 + +! Reaction index: Chemkin #86; RMG #676 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCCH3(96), XCHCH3(64); +! From training reaction 26 used for C#*;*OH +! Exact match found for rate rule [C#*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +! Ea raised from 77.4 to 78.5 kJ/mol to match endothermicity of reaction. +OHX(30)+XCCH3(96)<=>OX(24)+XCHCH3(64) 4.400000e+22 0.101 18.769 + +! Reaction index: Chemkin #87; RMG #679 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CH2X(25)+XCHCH3(64)<=>CH3X(26)+XCCH3(96) 4.180000e+21 0.000 15.391 + +! Reaction index: Chemkin #88; RMG #681 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCH3(96), XCHCH3(64); H2OX(31), OHX(30); +! Estimated using template [O-R;*C] for rate rule [O-R;*#C] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +! Ea raised from 143.3 to 146.1 kJ/mol to match endothermicity of reaction. +H2OX(31)+XCCH3(96)<=>OHX(30)+XCHCH3(64) 1.534107e+22 -0.150 34.925 + +! Reaction index: Chemkin #89; RMG #688 +! Template reaction: Surface_Abstraction +! Flux pairs: CHX(27), CH2X(25); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHX(27)+XCHCH3(64)<=>CH2X(25)+XCCH3(96) 4.180000e+21 0.000 21.746 + +! Reaction index: Chemkin #90; RMG #690 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), XCCH3(96); XCHCH3(64), CHX(27); +! Estimated using template [C$*;Donating] for rate rule [C$*;*C-C] +! Euclidian distance = 2.0 +! family: Surface_Abstraction +CX(28)+XCHCH3(64)<=>CHX(27)+XCCH3(96) 2.430000e+21 -0.312 28.418 +DUPLICATE + +! Reaction index: Chemkin #91; RMG #692 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCH3(96), XCHCH3(64); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCCH3(96)<=>HX(21)+XCHCH3(64) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #92; RMG #693 +! Template reaction: Surface_Abstraction +! Flux pairs: COX(23), CHOX(32); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +COX(23)+XCHCH3(64)<=>CHOX(32)+XCCH3(96) 4.180000e+21 0.000 24.489 + +! Reaction index: Chemkin #93; RMG #697 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCHCH3(64); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCCH3(96)<=>COX(23)+XCHCH3(64) 4.180000e+21 0.000 33.623 + +! Reaction index: Chemkin #94; RMG #701 +! Template reaction: Surface_Abstraction +! Flux pairs: XCOH(80), XCHOH(81); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCOH(80)+XCHCH3(64)<=>XCHOH(81)+XCCH3(96) 4.180000e+21 0.000 22.486 + +! Reaction index: Chemkin #95; RMG #702 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCHCH3(64); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCCH3(96)<=>CHOX(32)+XCHCH3(64) 4.180000e+21 0.000 38.713 + +! Reaction index: Chemkin #96; RMG #726 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), XCCH3(96); CX(28), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CX(28)+XCHCH3(64)<=>CHX(27)+XCCH3(96) 4.180000e+21 0.000 12.410 +DUPLICATE + +! Reaction index: Chemkin #97; RMG #340 +! Template reaction: Surface_Dissociation_Double +! Flux pairs: XCCH2(119), CH2X(25); XCCH2(119), CX(28); +! Exact match found for rate rule [C=C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Double +X(1)+XCCH2(119)<=>CX(28)+CH2X(25) 4.180000e+21 0.000 20.973 + +! Reaction index: Chemkin #98; RMG #634 +! Template reaction: Surface_Monodentate_to_Bidentate +! Flux pairs: XCCH2(119), XCXCH2(118); X(1), XCXCH2(118); +! Matched reaction 1 XCCH2 + Pt_4 <=> XCXCH2 in Surface_Monodentate_to_Bidentate/training +! This reaction matched rate rule [Monodentate;VacantSite] +! family: Surface_Monodentate_to_Bidentate +! metal: None +X(1)+XCCH2(119)<=>XCXCH2(118) 1.000000e+21 0.000 0.000 + +! Reaction index: Chemkin #99; RMG #669 +! Template reaction: Surface_Dissociation_Beta +! Flux pairs: XCCH3(96), XCCH2(119); XCCH3(96), HX(21); +! Estimated using template [C-H;VacantSite] for rate rule [CH3;VacantSite] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Dissociation_Beta +X(1)+XCCH3(96)<=>HX(21)+XCCH2(119) 1.254000e+22 0.000 50.906 + +! Reaction index: Chemkin #100; RMG #673 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); OX(24), OHX(30); +! Estimated using template [O;R-C-H] for rate rule [O;R-CH3] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +OX(24)+XCCH3(96)<=>OHX(30)+XCCH2(119) 1.254000e+22 0.000 68.675 + +! Reaction index: Chemkin #101; RMG #684 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); COX(23), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +COX(23)+XCCH3(96)<=>CHOX(32)+XCCH2(119) 1.254000e+22 0.000 87.995 + +! Reaction index: Chemkin #102; RMG #686 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); CX(28), CHX(27); +! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CX(28)+XCCH3(96)<=>CHX(27)+XCCH2(119) 1.254000e+22 0.000 57.308 + +! Reaction index: Chemkin #103; RMG #689 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); CH2X(25), CH3X(26); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CH2X(25)+XCCH3(96)<=>CH3X(26)+XCCH2(119) 1.254000e+22 0.000 64.881 + +! Reaction index: Chemkin #104; RMG #691 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); CHX(27), CH2X(25); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CHX(27)+XCCH3(96)<=>CH2X(25)+XCCH2(119) 1.254000e+22 0.000 81.024 + +! Reaction index: Chemkin #105; RMG #698 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCCH2(119); XCOH(80), XCHOH(81); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCOH(80)+XCCH3(96)<=>XCHOH(81)+XCCH2(119) 1.254000e+22 0.000 82.905 + +! Reaction index: Chemkin #106; RMG #706 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCHCH3(64); XCCH3(96), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH3(96)+XCCH3(96)<=>XCCH2(119)+XCHCH3(64) 1.254000e+22 0.000 86.074 + +! Reaction index: Chemkin #107; RMG #345 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: XCH2XCH(122), CHX(27); XCH2XCH(122), CH2X(25); +! Matched reaction 4 HCCH2_2X <=> CHX_3 + CH2X_4 in Surface_Bidentate_Dissociation/training +! This reaction matched rate rule [Combined] +! family: Surface_Bidentate_Dissociation +! metal: None +XCH2XCH(122)<=>CHX(27)+CH2X(25) 2.740000e+13 0.000 33.461 + +! Reaction index: Chemkin #108; RMG #637 +! Template reaction: Surface_Dissociation +! Flux pairs: XCH2XCH(122), HX(21); XCH2XCH(122), XCXCH2(118); +! Matched reaction 65 XCHXCH2_1 + Ni_4 <=> XCXCH2_3 + HX_5 in Surface_Dissociation/training +! This reaction matched rate rule [C-H_Bidentate;VacantSite] +! family: Surface_Dissociation +! metal: None +X(1)+XCH2XCH(122)<=>HX(21)+XCXCH2(118) 9.690000e+21 0.000 11.472 + +! Reaction index: Chemkin #109; RMG #641 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCXCH2(118), XCH2XCH(122); +! From training reaction 26 used for C#*;*OH +! Exact match found for rate rule [C#*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +OHX(30)+XCXCH2(118)<=>OX(24)+XCH2XCH(122) 4.400000e+22 0.101 10.134 + +! Reaction index: Chemkin #110; RMG #644 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); XCH2XCH(122), XCXCH2(118); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CH2X(25)+XCH2XCH(122)<=>CH3X(26)+XCXCH2(118) 4.180000e+21 0.000 19.939 + +! Reaction index: Chemkin #111; RMG #646 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCXCH2(118), XCH2XCH(122); H2OX(31), OHX(30); +! Estimated using template [O-R;*C] for rate rule [O-R;*#C] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+XCXCH2(118)<=>OHX(30)+XCH2XCH(122) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #112; RMG #654 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); XCXCH2(118), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C#*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCXCH2(118)<=>CHX(27)+XCH2XCH(122) 8.360000e+21 0.000 21.173 + +! Reaction index: Chemkin #113; RMG #656 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), CHX(27); XCH2XCH(122), XCXCH2(118); +! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CX(28)+XCH2XCH(122)<=>CHX(27)+XCXCH2(118) 4.180000e+21 0.000 16.958 + +! Reaction index: Chemkin #114; RMG #657 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCXCH2(118), XCH2XCH(122); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCXCH2(118)<=>HX(21)+XCH2XCH(122) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #115; RMG #658 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); XCXCH2(118), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCXCH2(118)<=>COX(23)+XCH2XCH(122) 4.180000e+21 0.000 18.429 + +! Reaction index: Chemkin #116; RMG #663 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCXCH2(118), XCH2XCH(122); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCXCH2(118)<=>COX(23)+XCH2XCH(122) 4.180000e+21 0.000 22.070 + +! Reaction index: Chemkin #117; RMG #666 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHOH(81), XCOH(80); XCXCH2(118), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHOH(81)+XCXCH2(118)<=>XCOH(80)+XCH2XCH(122) 4.180000e+21 0.000 20.433 + +! Reaction index: Chemkin #118; RMG #667 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCXCH2(118), XCH2XCH(122); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCXCH2(118)<=>CHOX(32)+XCH2XCH(122) 4.180000e+21 0.000 27.159 + +! Reaction index: Chemkin #119; RMG #705 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCH2XCH(122); XCXCH2(118), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCXCH2(118)+XCCH3(96)<=>XCCH2(119)+XCH2XCH(122) 1.254000e+22 0.000 74.520 + +! Reaction index: Chemkin #120; RMG #708 +! Template reaction: Surface_Dissociation_to_Bidentate +! Flux pairs: XCHCH3(64), XCH2XCH(122); X(1), HX(21); X(1), HX(21); +! Matched reaction 2 HCCH3_X + Pt_5 + Pt_6 <=> HCCH2_2X + H_X in Surface_Dissociation_to_Bidentate/training +! This reaction matched rate rule [Combined;VacantSite1;VacantSite2] +! family: Surface_Dissociation_to_Bidentate +! metal: None +X(1)+X(1)+XCHCH3(64)<=>HX(21)+XCH2XCH(122) 6.500000e+29 0.000 11.711 + +! Reaction index: Chemkin #121; RMG #748 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), XCCH3(96); XCXCH2(118), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCXCH2(118)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH(122) 4.180000e+21 0.000 19.186 + +! Reaction index: Chemkin #122; RMG #115 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: C2H4(18), XCHCH2(67); X(1), HX(21); X(1), HX(21); +! Exact match found for rate rule [C2H4;VacantSite1;VacantSite2] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+C2H4(18)<=>HX(21)+XCHCH2(67) 1.000e-01 0.000 16.632 + STICK + +! Reaction index: Chemkin #123; RMG #346 +! Template reaction: Surface_Dissociation_Double +! Flux pairs: XCHCH2(67), CH2X(25); XCHCH2(67), CHX(27); +! Exact match found for rate rule [C=C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Double +X(1)+XCHCH2(67)<=>CHX(27)+CH2X(25) 4.180000e+21 0.000 21.335 + +! Reaction index: Chemkin #124; RMG #707 +! Template reaction: Surface_Dissociation_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); XCHCH3(64), HX(21); +! Estimated using template [C-H;VacantSite] for rate rule [CH3;VacantSite] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Dissociation_Beta +X(1)+XCHCH3(64)<=>HX(21)+XCHCH2(67) 1.254000e+22 0.000 32.865 + +! Reaction index: Chemkin #125; RMG #712 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); OX(24), OHX(30); +! Estimated using template [O;R-C-H] for rate rule [O;R-CH3] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +OX(24)+XCHCH3(64)<=>OHX(30)+XCHCH2(67) 1.254000e+22 0.000 39.436 + +! Reaction index: Chemkin #126; RMG #724 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); COX(23), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +COX(23)+XCHCH3(64)<=>CHOX(32)+XCHCH2(67) 1.254000e+22 0.000 58.756 + +! Reaction index: Chemkin #127; RMG #727 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); CX(28), CHX(27); +! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CX(28)+XCHCH3(64)<=>CHX(27)+XCHCH2(67) 1.254000e+22 0.000 28.069 + +! Reaction index: Chemkin #128; RMG #730 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); CH2X(25), CH3X(26); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CH2X(25)+XCHCH3(64)<=>CH3X(26)+XCHCH2(67) 1.254000e+22 0.000 35.642 + +! Reaction index: Chemkin #129; RMG #732 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); CHX(27), CH2X(25); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +CHX(27)+XCHCH3(64)<=>CH2X(25)+XCHCH2(67) 1.254000e+22 0.000 51.785 + +! Reaction index: Chemkin #130; RMG #741 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); XCOH(80), XCHOH(81); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCOH(80)+XCHCH3(64)<=>XCHOH(81)+XCHCH2(67) 1.254000e+22 0.000 53.666 + +! Reaction index: Chemkin #131; RMG #750 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2XCH(122); XCXCH2(118), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCXCH2(118)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH(122) 1.254000e+22 0.000 45.281 + +! Reaction index: Chemkin #132; RMG #752 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH3(64); XCCH3(96), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH3(96)+XCHCH3(64)<=>XCHCH2(67)+XCHCH3(64) 1.254000e+22 0.000 56.835 + +! Reaction index: Chemkin #133; RMG #757 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHCH2(67), HX(21); XCHCH2(67), XCCH2(119); +! From training reaction 48 used for C-H;VacantSite +! Exact match found for rate rule [C-H;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +! Ea raised from 0.0 to 55.4 kJ/mol to match endothermicity of reaction. +X(1)+XCHCH2(67)<=>HX(21)+XCCH2(119) 3.710000e+21 0.000 13.250 + +! Reaction index: Chemkin #134; RMG #761 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCCH2(119), XCHCH2(67); +! From training reaction 24 used for C=*;*OH +! Exact match found for rate rule [C=*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +OHX(30)+XCCH2(119)<=>OX(24)+XCHCH2(67) 1.390000e+21 0.101 4.541 + +! Reaction index: Chemkin #135; RMG #764 +! Template reaction: Surface_Abstraction +! Flux pairs: CH3X(26), CH2X(25); XCCH2(119), XCHCH2(67); +! Estimated using template [Abstracting;*-C-H] for rate rule [C=*;*-CH2-H] +! Euclidian distance = 2.8284271247461903 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction +CH3X(26)+XCCH2(119)<=>CH2X(25)+XCHCH2(67) 9.894000e+21 0.000 0.000 + +! Reaction index: Chemkin #136; RMG #765 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCH2(119), XCHCH2(67); H2OX(31), OHX(30); +! From training reaction 40 used for O-R;*=C=R +! Exact match found for rate rule [O-R;*=C=R] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+XCCH2(119)<=>OHX(30)+XCHCH2(67) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #137; RMG #767 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCCH2(119)<=>CHX(27)+XCHCH2(67) 8.360000e+21 0.000 14.212 + +! Reaction index: Chemkin #138; RMG #768 +! Template reaction: Surface_Abstraction +! Flux pairs: CHX(27), CX(28); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*#C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHX(27)+XCCH2(119)<=>CX(28)+XCHCH2(67) 4.180000e+21 0.000 23.547 + +! Reaction index: Chemkin #139; RMG #769 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCH2(119), XCHCH2(67); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCCH2(119)<=>HX(21)+XCHCH2(67) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #140; RMG #770 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCCH2(119)<=>COX(23)+XCHCH2(67) 4.180000e+21 0.000 11.468 + +! Reaction index: Chemkin #141; RMG #772 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH2(119), XCHCH2(67); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCCH2(119)<=>COX(23)+XCHCH2(67) 4.180000e+21 0.000 4.384 + +! Reaction index: Chemkin #142; RMG #775 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHOH(81), XCOH(80); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHOH(81)+XCCH2(119)<=>XCOH(80)+XCHCH2(67) 4.180000e+21 0.000 13.472 + +! Reaction index: Chemkin #143; RMG #776 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH2(119), XCHCH2(67); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCCH2(119)<=>CHOX(32)+XCHCH2(67) 4.180000e+21 0.000 9.474 + +! Reaction index: Chemkin #144; RMG #780 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCHCH2(67); XCCH2(119), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH2(119)+XCCH3(96)<=>XCCH2(119)+XCHCH2(67) 1.254000e+22 0.000 56.835 + +! Reaction index: Chemkin #145; RMG #781 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), XCCH3(96); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCCH2(119)+XCHCH3(64)<=>XCCH3(96)+XCHCH2(67) 4.180000e+21 0.000 12.224 + +! Reaction index: Chemkin #146; RMG #782 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCHCH2(67); XCCH2(119), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH2(119)+XCHCH3(64)<=>XCHCH2(67)+XCHCH2(67) 1.254000e+22 0.000 27.596 + +! Reaction index: Chemkin #147; RMG #783 +! Template reaction: Surface_Monodentate_to_Bidentate +! Flux pairs: XCHCH2(67), XCH2XCH(122); X(1), XCH2XCH(122); +! Matched reaction 2 XCHCH2 + Pt_4 <=> XCHXCH2 in Surface_Monodentate_to_Bidentate/training +! This reaction matched rate rule [Monodentate;VacantSite] +! family: Surface_Monodentate_to_Bidentate +! metal: None +X(1)+XCHCH2(67)<=>XCH2XCH(122) 7.150000e+20 0.000 0.717 + +! Reaction index: Chemkin #148; RMG #827 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCXCH2(118); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCCH2(119)+XCH2XCH(122)<=>XCXCH2(118)+XCHCH2(67) 4.180000e+21 0.000 16.772 + +! Reaction index: Chemkin #149; RMG #350 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: XCHXCH(123), CHX(27); XCHXCH(123), CHX(27); +! Matched reaction 3 HCCH_2X <=> CHX_3 + CHX_4 in Surface_Bidentate_Dissociation/training +! This reaction matched rate rule [Combined] +! family: Surface_Bidentate_Dissociation +! metal: None +XCHXCH(123)<=>CHX(27)+CHX(27) 7.930000e+12 0.000 21.511 + +! Reaction index: Chemkin #150; RMG #784 +! Template reaction: Surface_Dissociation +! Flux pairs: XCH2XCH(122), XCHXCH(123); XCH2XCH(122), HX(21); +! Matched reaction 60 HCCH2_2X + Ni_4 <=> HCCH_2X + HX_5 in Surface_Dissociation/training +! This reaction matched rate rule [C-H_Bidentate;VacantSite] +! family: Surface_Dissociation +! metal: None +X(1)+XCH2XCH(122)<=>HX(21)+XCHXCH(123) 4.750000e+21 0.000 17.208 + +! Reaction index: Chemkin #151; RMG #785 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCHXCH(123), XCH2XCH(122); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCHXCH(123)<=>HX(21)+XCH2XCH(122) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #152; RMG #787 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); OHX(30), OX(24); +! From training reaction 24 used for C=*;*OH +! Exact match found for rate rule [C=*;*OH] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +OHX(30)+XCHXCH(123)<=>OX(24)+XCH2XCH(122) 2.780000e+21 0.101 4.541 + +! Reaction index: Chemkin #153; RMG #789 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCHXCH(123), XCH2XCH(122); H2OX(31), OHX(30); +! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +H2OX(31)+XCHXCH(123)<=>OHX(30)+XCH2XCH(122) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #154; RMG #798 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); CHOX(32), COX(23); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CHOX(32)+XCHXCH(123)<=>COX(23)+XCH2XCH(122) 8.360000e+21 0.000 16.457 + +! Reaction index: Chemkin #155; RMG #799 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHXCH(123), XCH2XCH(122); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_Beta +XCOH(80)+XCHXCH(123)<=>COX(23)+XCH2XCH(122) 8.360000e+21 0.000 17.059 + +! Reaction index: Chemkin #156; RMG #800 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCHXCH(123); CX(28), CHX(27); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CX(28)+XCH2XCH(122)<=>CHX(27)+XCHXCH(123) 7.425804e+21 0.000 9.465 + +! Reaction index: Chemkin #157; RMG #801 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCHXCH(123); CH2X(25), CH3X(26); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCH2XCH(122)<=>CH3X(26)+XCHXCH(123) 7.425804e+21 0.000 10.956 + +! Reaction index: Chemkin #158; RMG #803 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); CH2X(25), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction +CH2X(25)+XCHXCH(123)<=>CHX(27)+XCH2XCH(122) 1.672000e+22 0.000 19.201 + +! Reaction index: Chemkin #159; RMG #807 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCHXCH(123)<=>CHOX(32)+XCH2XCH(122) 8.360000e+21 0.000 22.148 + +! Reaction index: Chemkin #160; RMG #810 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHOH(81), XCOH(80); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCHOH(81)+XCHXCH(123)<=>XCOH(80)+XCH2XCH(122) 8.360000e+21 0.000 18.460 + +! Reaction index: Chemkin #161; RMG #818 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); XCH2XCH(122), XCXCH2(118); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCHXCH(123)+XCH2XCH(122)<=>XCXCH2(118)+XCH2XCH(122) 8.360000e+21 0.000 21.761 + +! Reaction index: Chemkin #162; RMG #820 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCHXCH(123)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH(122) 8.360000e+21 0.000 17.213 + +! Reaction index: Chemkin #163; RMG #826 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCHXCH(123); XCCH2(119), XCHCH2(67); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCCH2(119)+XCH2XCH(122)<=>XCHXCH(123)+XCHCH2(67) 7.425804e+21 0.000 9.372 + +! Reaction index: Chemkin #164; RMG #828 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCH3(96), XCH2XCH(122); XCHXCH(123), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 6.0 +! family: Surface_Abstraction_Beta +XCHXCH(123)+XCCH3(96)<=>XCCH2(119)+XCH2XCH(122) 2.508000e+22 0.000 69.509 + +! Reaction index: Chemkin #165; RMG #832 +! Template reaction: Surface_Dissociation_to_Bidentate +! Flux pairs: XCHCH2(67), XCHXCH(123); X(1), HX(21); X(1), HX(21); +! From training reaction 1 used for Combined;VacantSite1;VacantSite2 +! Exact match found for rate rule [Combined;VacantSite1;VacantSite2] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Dissociation_to_Bidentate +X(1)+X(1)+XCHCH2(67)<=>HX(21)+XCHXCH(123) 3.713333e+29 0.000 10.994 + +! Reaction index: Chemkin #166; RMG #862 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2XCH(122); XCHXCH(123), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 6.0 +! family: Surface_Abstraction_Beta +XCHXCH(123)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH(122) 2.508000e+22 0.000 40.270 + +! Reaction index: Chemkin #167; RMG #121 +! Template reaction: Surface_Monodentate_to_Bidentate +! Flux pairs: X(1), XCHXO(70); CHOX(32), XCHXO(70); +! Matched reaction 3 HXCO + Pt_4 <=> HXCXO in Surface_Monodentate_to_Bidentate/training +! This reaction matched rate rule [Monodentate;VacantSite] +! family: Surface_Monodentate_to_Bidentate +! metal: None +! Ea raised from 0.0 to 28.8 kJ/mol to match endothermicity of reaction. +X(1)+CHOX(32)<=>XCHXO(70) 1.000000e+21 0.000 6.888 + +! Reaction index: Chemkin #168; RMG #179 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: CHX(27), XCHXO(70); OX(24), XCHXO(70); +! Matched reaction 6 CHX_3 + OX_4 <=> HCO_2X in Surface_Bidentate_Dissociation/training +! This reaction matched rate rule [Combined] +! family: Surface_Bidentate_Dissociation +! metal: None +OX(24)+CHX(27)<=>XCHXO(70) 6.540000e+21 0.000 33.939 + +! Reaction index: Chemkin #169; RMG #585 +! Template reaction: Surface_Dissociation_to_Bidentate +! Flux pairs: XCHOH(81), XCHXO(70); X(1), HX(21); X(1), HX(21); +! From training reaction 1 used for Combined;VacantSite1;VacantSite2 +! Exact match found for rate rule [Combined;VacantSite1;VacantSite2] +! Euclidian distance = 0 +! family: Surface_Dissociation_to_Bidentate +X(1)+X(1)+XCHOH(81)<=>HX(21)+XCHXO(70) 1.856667e+29 0.000 10.994 + +! Reaction index: Chemkin #170; RMG #96 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: C2H6(8), XCH2CH3(54); X(1), HX(21); X(1), HX(21); +! Exact match found for rate rule [C2H6;VacantSite1;VacantSite2] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 6.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+C2H6(8)<=>HX(21)+XCH2CH3(54) 2.052e+00 0.000 10.206 + STICK + +! Reaction index: Chemkin #171; RMG #102 +! Template reaction: Surface_Adsorption_Dissociative +! Flux pairs: C3H8(11), XCH2CH3(54); X(1), CH3X(26); X(1), CH3X(26); +! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Adsorption_Dissociative +X(1)+X(1)+C3H8(11)<=>CH3X(26)+XCH2CH3(54) 3.000e-02 0.000 1.195 + STICK + +! Reaction index: Chemkin #172; RMG #103 +! Template reaction: Surface_Adsorption_Single +! Flux pairs: X(1), XCH2CH3(54); C2H5(13), XCH2CH3(54); +! Estimated using template [Adsorbate;VacantSite] for rate rule [C;VacantSite] +! Euclidian distance = 1.0 +! family: Surface_Adsorption_Single +X(1)+C2H5(13)<=>XCH2CH3(54) 8.500e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #173; RMG #232 +! Template reaction: Surface_Dissociation +! Flux pairs: XCH2CH3(54), CH3X(26); XCH2CH3(54), CH2X(25); +! Exact match found for rate rule [C-C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +X(1)+XCH2CH3(54)<=>CH2X(25)+CH3X(26) 4.180000e+21 0.000 35.960 + +! Reaction index: Chemkin #174; RMG #687 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), XCCH3(96); XCH2CH3(54), CH2X(25); +! Estimated using template [C$*;Donating] for rate rule [C$*;*C-C] +! Euclidian distance = 2.0 +! family: Surface_Abstraction +CX(28)+XCH2CH3(54)<=>CH2X(25)+XCCH3(96) 2.430000e+21 -0.312 28.418 + +! Reaction index: Chemkin #175; RMG #710 +! Template reaction: Surface_Dissociation +! Flux pairs: XCH2CH3(54), HX(21); XCH2CH3(54), XCHCH3(64); +! Estimated using template [C-H;VacantSite] for rate rule [CH2R;VacantSite] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Dissociation +! Ea raised from 0.0 to 13.0 kJ/mol to match endothermicity of reaction. +X(1)+XCH2CH3(54)<=>HX(21)+XCHCH3(64) 7.420000e+21 0.000 3.109 + +! Reaction index: Chemkin #176; RMG #715 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCHCH3(64), XCH2CH3(54); +! From training reaction 24 used for C=*;*OH +! Exact match found for rate rule [C=*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +OHX(30)+XCHCH3(64)<=>OX(24)+XCH2CH3(54) 1.390000e+21 0.101 4.541 + +! Reaction index: Chemkin #177; RMG #718 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); XCH2CH3(54), XCHCH3(64); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCH2CH3(54)<=>CH3X(26)+XCHCH3(64) 7.425804e+21 0.000 11.515 + +! Reaction index: Chemkin #178; RMG #721 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCHCH3(64), XCH2CH3(54); H2OX(31), OHX(30); +! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+XCHCH3(64)<=>OHX(30)+XCH2CH3(54) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #179; RMG #728 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), CHX(27); CH2X(25), XCH2CH3(54); +! Estimated using template [C=*;Donating] for rate rule [C=*;*C-C] +! Euclidian distance = 2.0 +! family: Surface_Abstraction +CH2X(25)+XCHCH3(64)<=>CHX(27)+XCH2CH3(54) 1.390000e+21 0.101 4.541 +DUPLICATE + +! Reaction index: Chemkin #180; RMG #729 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCHCH3(64)<=>CHX(27)+XCH2CH3(54) 8.360000e+21 0.000 18.083 +DUPLICATE + +! Reaction index: Chemkin #181; RMG #731 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), CHX(27); XCH2CH3(54), XCHCH3(64); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CX(28)+XCH2CH3(54)<=>CHX(27)+XCHCH3(64) 7.425804e+21 0.000 10.024 + +! Reaction index: Chemkin #182; RMG #733 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCHCH3(64), XCH2CH3(54); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCHCH3(64)<=>HX(21)+XCH2CH3(54) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #183; RMG #734 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCHCH3(64)<=>COX(23)+XCH2CH3(54) 4.180000e+21 0.000 15.339 + +! Reaction index: Chemkin #184; RMG #740 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2CH3(54); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCHCH3(64)<=>COX(23)+XCH2CH3(54) 4.180000e+21 0.000 14.218 + +! Reaction index: Chemkin #185; RMG #745 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHOH(81), XCOH(80); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHOH(81)+XCHCH3(64)<=>XCOH(80)+XCH2CH3(54) 4.180000e+21 0.000 17.342 + +! Reaction index: Chemkin #186; RMG #746 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2CH3(54); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCHCH3(64)<=>CHOX(32)+XCH2CH3(54) 4.180000e+21 0.000 19.308 + +! Reaction index: Chemkin #187; RMG #751 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2CH3(54); XCCH3(96), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH3(96)+XCHCH3(64)<=>XCCH2(119)+XCH2CH3(54) 1.254000e+22 0.000 66.669 + +! Reaction index: Chemkin #188; RMG #753 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), XCCH3(96); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHCH3(64)+XCHCH3(64)<=>XCCH3(96)+XCH2CH3(54) 4.180000e+21 0.000 16.095 + +! Reaction index: Chemkin #189; RMG #754 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2CH3(54); XCHCH3(64), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCHCH3(64)+XCHCH3(64)<=>XCHCH2(67)+XCH2CH3(54) 1.254000e+22 0.000 37.430 + +! Reaction index: Chemkin #190; RMG #822 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCHXCH(123); XCHCH3(64), XCH2CH3(54); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCH2XCH(122)+XCHCH3(64)<=>XCHXCH(123)+XCH2CH3(54) 7.425804e+21 0.000 11.308 + +! Reaction index: Chemkin #191; RMG #823 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCXCH2(118); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCH2XCH(122)+XCHCH3(64)<=>XCXCH2(118)+XCH2CH3(54) 4.180000e+21 0.000 20.643 + +! Reaction index: Chemkin #192; RMG #859 +! Template reaction: Surface_Abstraction +! Flux pairs: XCCH2(119), XCHCH2(67); XCH2CH3(54), XCHCH3(64); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCCH2(119)+XCH2CH3(54)<=>XCHCH2(67)+XCHCH3(64) 7.425804e+21 0.000 9.931 + +! Reaction index: Chemkin #193; RMG #835 +! Template reaction: Surface_Abstraction_Beta_double_vdW +! Flux pairs: XCHCH2(67), CHCHX(176); OHX(30), H2OX(31); +! Exact match found for rate rule [OH;R-C-H] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_Beta_double_vdW +OHX(30)+XCHCH2(67)<=>H2OX(31)+CHCHX(176) 8.360000e+21 0.000 34.012 + +! Reaction index: Chemkin #194; RMG #868 +! Template reaction: Surface_vdW_to_Bidentate +! Flux pairs: CHCHX(176), XCHXCH(123); X(1), XCHXCH(123); +! Matched reaction 1 HCCHX_vdW + X <=> HCCH_2X in Surface_vdW_to_Bidentate/training +! This reaction matched rate rule [Combined;VacantSite] +! family: Surface_vdW_to_Bidentate +! metal: None +X(1)+CHCHX(176)<=>XCHXCH(123) 1.000000e+21 0.000 0.000 + +! Reaction index: Chemkin #195; RMG #312 +! Template reaction: Surface_Dissociation_Double +! Flux pairs: XCHCO(111), COX(23); XCHCO(111), CHX(27); +! Exact match found for rate rule [C=C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Double +X(1)+XCHCO(111)<=>COX(23)+CHX(27) 4.180000e+21 0.000 0.000 + +! Reaction index: Chemkin #196; RMG #303 +! Template reaction: Surface_Dissociation_Double +! Flux pairs: XCCO(106), COX(23); XCCO(106), CX(28); +! Exact match found for rate rule [C=C;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation_Double +X(1)+XCCO(106)<=>CX(28)+COX(23) 4.180000e+21 0.000 19.459 + +! Reaction index: Chemkin #197; RMG #1039 +! Template reaction: Surface_Dissociation +! Flux pairs: XCHCO(111), XCCO(106); XCHCO(111), HX(21); +! From training reaction 48 used for C-H;VacantSite +! Exact match found for rate rule [C-H;VacantSite] +! Euclidian distance = 0 +! family: Surface_Dissociation +X(1)+XCHCO(111)<=>HX(21)+XCCO(106) 3.710000e+21 0.000 0.000 + +! Reaction index: Chemkin #198; RMG #1041 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCO(106), XCHCO(111); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCCO(106)<=>HX(21)+XCHCO(111) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #199; RMG #1045 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); OX(24), OHX(30); +! From training reaction 39 used for O;*-C-H +! Exact match found for rate rule [O;*-C-H] +! Euclidian distance = 0 +! family: Surface_Abstraction +OX(24)+XCHCO(111)<=>OHX(30)+XCCO(106) 3.298000e+21 0.000 0.000 + +! Reaction index: Chemkin #200; RMG #1048 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCO(106), XCHCO(111); H2OX(31), OHX(30); +! From training reaction 40 used for O-R;*=C=R +! Exact match found for rate rule [O-R;*=C=R] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +! Ea raised from 130.6 to 133.4 kJ/mol to match endothermicity of reaction. +H2OX(31)+XCCO(106)<=>OHX(30)+XCHCO(111) 1.534107e+22 -0.150 31.891 + +! Reaction index: Chemkin #201; RMG #1059 +! Template reaction: Surface_Abstraction +! Flux pairs: XCCO(106), XCHCO(111); CHOX(32), COX(23); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCCO(106)<=>COX(23)+XCHCO(111) 4.180000e+21 0.000 21.856 + +! Reaction index: Chemkin #202; RMG #1060 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCO(106), XCHCO(111); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCCO(106)<=>COX(23)+XCHCO(111) 4.180000e+21 0.000 30.776 + +! Reaction index: Chemkin #203; RMG #1061 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); CX(28), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C$*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CX(28)+XCHCO(111)<=>CHX(27)+XCCO(106) 4.180000e+21 0.000 13.531 + +! Reaction index: Chemkin #204; RMG #1062 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); CH2X(25), CH3X(26); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CH2X(25)+XCHCO(111)<=>CH3X(26)+XCCO(106) 4.180000e+21 0.000 16.512 + +! Reaction index: Chemkin #205; RMG #1065 +! Template reaction: Surface_Abstraction +! Flux pairs: XCCO(106), XCHCO(111); CH2X(25), CHX(27); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCCO(106)<=>CHX(27)+XCHCO(111) 8.360000e+21 0.000 24.600 + +! Reaction index: Chemkin #206; RMG #1068 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCO(106), XCHCO(111); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCCO(106)<=>CHOX(32)+XCHCO(111) 4.180000e+21 0.000 35.865 + +! Reaction index: Chemkin #207; RMG #1072 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCOH(80), XCHOH(81); +! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCOH(80)+XCHCO(111)<=>XCHOH(81)+XCCO(106) 4.180000e+21 0.000 23.607 + +! Reaction index: Chemkin #208; RMG #1080 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCXCH2(118), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHCO(111)+XCXCH2(118)<=>XCCO(106)+XCH2XCH(122) 4.180000e+21 0.000 20.306 + +! Reaction index: Chemkin #209; RMG #1083 +! Template reaction: Surface_Abstraction +! Flux pairs: XCCO(106), XCHCO(111); XCHCH3(64), XCCH3(96); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCCO(106)+XCHCH3(64)<=>XCHCO(111)+XCCH3(96) 4.180000e+21 0.000 22.612 + +! Reaction index: Chemkin #210; RMG #1084 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCHCH3(64), XCH2CH3(54); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHCO(111)+XCHCH3(64)<=>XCCO(106)+XCH2CH3(54) 4.180000e+21 0.000 17.216 + +! Reaction index: Chemkin #211; RMG #1087 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCCH2(119), XCHCH2(67); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHCO(111)+XCCH2(119)<=>XCCO(106)+XCHCH2(67) 4.180000e+21 0.000 13.345 + +! Reaction index: Chemkin #212; RMG #1088 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCO(106), XCHCO(111); XCCH3(96), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCO(106)+XCCH3(96)<=>XCHCO(111)+XCCH2(119) 1.254000e+22 0.000 83.226 + +! Reaction index: Chemkin #213; RMG #1094 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCCO(106), XCHCO(111); XCHCH3(64), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCO(106)+XCHCH3(64)<=>XCHCO(111)+XCHCH2(67) 1.254000e+22 0.000 53.988 + +! Reaction index: Chemkin #214; RMG #1099 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCHXCH(123), XCH2XCH(122); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCHCO(111)+XCHXCH(123)<=>XCCO(106)+XCH2XCH(122) 8.360000e+21 0.000 18.334 + +! Reaction index: Chemkin #215; RMG #302 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: XCXCO(105), CX(28); XCXCO(105), COX(23); +! From training reaction 1 used for Combined +! Exact match found for rate rule [Combined] +! Euclidian distance = 0 +! family: Surface_Bidentate_Dissociation +XCXCO(105)<=>CX(28)+COX(23) 4.220000e+12 0.000 24.857 + +! Reaction index: Chemkin #216; RMG #1112 +! Template reaction: Surface_Monodentate_to_Bidentate +! Flux pairs: X(1), XCXCO(105); XCCO(106), XCXCO(105); +! From training reaction 1 used for Monodentate;VacantSite +! Exact match found for rate rule [Monodentate;VacantSite] +! Euclidian distance = 0 +! family: Surface_Monodentate_to_Bidentate +! Ea raised from 0.0 to 6.7 kJ/mol to match endothermicity of reaction. +X(1)+XCCO(106)<=>XCXCO(105) 1.000000e+21 0.000 1.604 + +! Reaction index: Chemkin #217; RMG #117 +! Template reaction: Surface_Adsorption_vdW +! Flux pairs: X(1), CH2CH2X(68); C2H4(18), CH2CH2X(68); +! Estimated using template [C;VacantSite] for rate rule [C2H4;VacantSite] +! Euclidian distance = 3.0 +! family: Surface_Adsorption_vdW +X(1)+C2H4(18)<=>CH2CH2X(68) 7.000e-06 0.000 0.000 + STICK + +! Reaction index: Chemkin #218; RMG #344 +! Template reaction: Surface_Dissociation_Double_vdW +! Flux pairs: CH2CH2X(68), CH2X(25); CH2CH2X(68), CH2X(25); +! Estimated using an average for rate rule [AdsorbateVdW;VacantSite] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Dissociation_Double_vdW +X(1)+CH2CH2X(68)<=>CH2X(25)+CH2X(25) 3.282000e+20 0.000 57.651 + +! Reaction index: Chemkin #219; RMG #833 +! Template reaction: Surface_Dissociation_vdW +! Flux pairs: CH2CH2X(68), HX(21); CH2CH2X(68), XCHCH2(67); +! Estimated using template [CH2R;VacantSite] for rate rule [C2H4;VacantSite] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Dissociation_vdW +X(1)+CH2CH2X(68)<=>HX(21)+XCHCH2(67) 1.493995e+14 1.801 4.381 + +! Reaction index: Chemkin #220; RMG #836 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); OX(24), OHX(30); +! From training reaction 21 used for C-R;*=O +! Exact match found for rate rule [C-R;*=O] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +OX(24)+CH2CH2X(68)<=>OHX(30)+XCHCH2(67) 5.620000e+24 -0.101 22.156 + +! Reaction index: Chemkin #221; RMG #842 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); CH2X(25), CH3X(26); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +CH2X(25)+CH2CH2X(68)<=>CH3X(26)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #222; RMG #843 +! Template reaction: Surface_Abstraction_Single_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); OHX(30), H2OX(31); +! Estimated using template [Donating;Abstracting] for rate rule [C-R;*O-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_Single_vdW +OHX(30)+CH2CH2X(68)<=>H2OX(31)+XCHCH2(67) 1.672000e+22 0.000 14.516 + +! Reaction index: Chemkin #223; RMG #846 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); CHX(27), CH2X(25); +! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#CH] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +CHX(27)+CH2CH2X(68)<=>CH2X(25)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #224; RMG #847 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); CX(28), CHX(27); +! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*$C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +CX(28)+CH2CH2X(68)<=>CHX(27)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #225; RMG #850 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); COX(23), CHOX(32); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +COX(23)+CH2CH2X(68)<=>CHOX(32)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #226; RMG #856 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); XCOH(80), XCHOH(81); +! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCOH(80)+CH2CH2X(68)<=>XCHOH(81)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #227; RMG #860 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH3(64); XCCH3(96), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCCH3(96)+CH2CH2X(68)<=>XCHCH2(67)+XCHCH3(64) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #228; RMG #863 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCH2XCH(122); XCHXCH(123), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 8.0 +! family: Surface_Abstraction_vdW +XCHXCH(123)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH(122) 6.136428e+22 -0.150 26.653 + +! Reaction index: Chemkin #229; RMG #864 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCH2XCH(122); XCXCH2(118), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCXCH2(118)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH(122) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #230; RMG #865 +! Template reaction: Surface_Abstraction_Beta_double_vdW +! Flux pairs: XCHCH2(67), CH2CH2X(68); XCHCH2(67), CHCHX(176); +! Estimated using template [Abstracting;Donating] for rate rule [Abstracting;R-C-H] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_Beta_double_vdW +XCHCH2(67)+XCHCH2(67)<=>CHCHX(176)+CH2CH2X(68) 8.360000e+21 0.000 45.867 + +! Reaction index: Chemkin #231; RMG #866 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCHCH2(67); XCCH2(119), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCCH2(119)+CH2CH2X(68)<=>XCHCH2(67)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #232; RMG #954 +! Template reaction: Surface_Dissociation_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCH2CH3(54), HX(21); +! From training reaction 24 used for CH3;VacantSite +! Exact match found for rate rule [CH3;VacantSite] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Dissociation_Beta_vdW +X(1)+XCH2CH3(54)<=>HX(21)+CH2CH2X(68) 5.547763e+19 0.946 13.973 + +! Reaction index: Chemkin #233; RMG #959 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); OX(24), OHX(30); +! Exact match found for rate rule [O;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +OX(24)+XCH2CH3(54)<=>OHX(30)+CH2CH2X(68) 4.179000e+21 0.000 43.039 + +! Reaction index: Chemkin #234; RMG #961 +! Template reaction: Surface_Abstraction_Beta_double_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); OHX(30), H2OX(31); +! Estimated using template [OH;R-C-H] for rate rule [OH;R-CH3] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_double_vdW +OHX(30)+XCH2CH3(54)<=>H2OX(31)+CH2CH2X(68) 1.254000e+22 0.000 23.438 + +! Reaction index: Chemkin #235; RMG #977 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); COX(23), CHOX(32); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +COX(23)+XCH2CH3(54)<=>CHOX(32)+CH2CH2X(68) 4.179000e+21 0.000 62.359 + +! Reaction index: Chemkin #236; RMG #978 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); CH2X(25), CH3X(26); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +CH2X(25)+XCH2CH3(54)<=>CH3X(26)+CH2CH2X(68) 4.179000e+21 0.000 39.245 + +! Reaction index: Chemkin #237; RMG #994 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), XCH2CH3(54); XCHCH3(64), CH2CH2X(68); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +XCHCH3(64)+XCH2CH3(54)<=>CH2CH2X(68)+XCH2CH3(54) 4.179000e+21 0.000 41.033 + +! Reaction index: Chemkin #238; RMG #996 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCCH2(119), XCHCH2(67); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +XCCH2(119)+XCH2CH3(54)<=>XCHCH2(67)+CH2CH2X(68) 4.179000e+21 0.000 31.199 + +! Reaction index: Chemkin #239; RMG #1001 +! Template reaction: Surface_Abstraction_Beta_double_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCHCH2(67), CH2CH2X(68); +! Estimated using template [Abstracting;Donating] for rate rule [Abstracting;R-CH3] +! Euclidian distance = 2.0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_double_vdW +XCHCH2(67)+XCH2CH3(54)<=>CH2CH2X(68)+CH2CH2X(68) 1.254000e+22 0.000 35.293 + +! Reaction index: Chemkin #240; RMG #1003 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCHCH3(64), XCH2CH3(54); CH2CH2X(68), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +CH2CH2X(68)+XCHCH3(64)<=>XCHCH2(67)+XCH2CH3(54) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #241; RMG #1005 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCHXCH(123), XCH2XCH(122); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 6.0 +! family: Surface_Abstraction_Beta_vdW +XCHXCH(123)+XCH2CH3(54)<=>XCH2XCH(122)+CH2CH2X(68) 8.358000e+21 0.000 43.874 + +! Reaction index: Chemkin #242; RMG #1097 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCCO(106), XCHCO(111); CH2CH2X(68), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCCO(106)+CH2CH2X(68)<=>XCHCO(111)+XCHCH2(67) 3.068214e+22 -0.150 26.653 + +! Reaction index: Chemkin #243; RMG #1141 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCCO(106), XCHCO(111); XCH2CH3(54), CH2CH2X(68); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +XCCO(106)+XCH2CH3(54)<=>XCHCO(111)+CH2CH2X(68) 4.179000e+21 0.000 57.591 + +! Reaction index: Chemkin #244; RMG #114 +! Template reaction: Surface_Adsorption_Bidentate +! Flux pairs: X(1), XCH2XCH2(66); X(1), XCH2XCH2(66); C2H4(18), XCH2XCH2(66); +! Matched reaction 2 H2CCH2 + X_3 + X_4 <=> H2CCH2_2X in Surface_Adsorption_Bidentate/training +! This reaction matched rate rule [Adsorbate;VacantSite1;VacantSite2] +! family: Surface_Adsorption_Bidentate +! metal: None +X(1)+X(1)+C2H4(18)<=>XCH2XCH2(66) 6.900e-01 0.000 0.000 + STICK + +! Reaction index: Chemkin #245; RMG #343 +! Template reaction: Surface_Bidentate_Dissociation +! Flux pairs: CH2X(25), XCH2XCH2(66); CH2X(25), XCH2XCH2(66); +! Matched reaction 5 CH2X_3 + CH2X_4 <=> H2CCH2_2X in Surface_Bidentate_Dissociation/training +! This reaction matched rate rule [Combined] +! family: Surface_Bidentate_Dissociation +! metal: None +CH2X(25)+CH2X(25)<=>XCH2XCH2(66) 9.890000e+23 0.000 36.807 + +! Reaction index: Chemkin #246; RMG #786 +! Template reaction: Surface_Dissociation +! Flux pairs: XCH2XCH2(66), HX(21); XCH2XCH2(66), XCH2XCH(122); +! Matched reaction 61 H2CCH2_2X + Ni_4 <=> H2CCH_2X + HX_5 in Surface_Dissociation/training +! This reaction matched rate rule [C-H_Bidentate;VacantSite] +! family: Surface_Dissociation +! metal: None +X(1)+XCH2XCH2(66)<=>HX(21)+XCH2XCH(122) 2.225000e+21 0.000 14.101 + +! Reaction index: Chemkin #247; RMG #788 +! Template reaction: Surface_Abstraction +! Flux pairs: OHX(30), OX(24); XCH2XCH(122), XCH2XCH2(66); +! From training reaction 24 used for C=*;*OH +! Exact match found for rate rule [C=*;*OH] +! Euclidian distance = 0 +! family: Surface_Abstraction +OHX(30)+XCH2XCH(122)<=>OX(24)+XCH2XCH2(66) 1.390000e+21 0.101 4.541 + +! Reaction index: Chemkin #248; RMG #791 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CH3X(26); XCH2XCH2(66), XCH2XCH(122); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction +CH2X(25)+XCH2XCH2(66)<=>CH3X(26)+XCH2XCH(122) 1.485161e+22 0.000 11.768 + +! Reaction index: Chemkin #249; RMG #794 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCH2XCH(122), XCH2XCH2(66); H2OX(31), OHX(30); +! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R] +! Euclidian distance = 1.0 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2OX(31)+XCH2XCH(122)<=>OHX(30)+XCH2XCH2(66) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #250; RMG #802 +! Template reaction: Surface_Abstraction +! Flux pairs: CH2X(25), CHX(27); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +CH2X(25)+XCH2XCH(122)<=>CHX(27)+XCH2XCH2(66) 8.360000e+21 0.000 17.576 + +! Reaction index: Chemkin #251; RMG #804 +! Template reaction: Surface_Abstraction +! Flux pairs: CX(28), CHX(27); XCH2XCH2(66), XCH2XCH(122); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction +CX(28)+XCH2XCH2(66)<=>CHX(27)+XCH2XCH(122) 1.485161e+22 0.000 10.278 + +! Reaction index: Chemkin #252; RMG #805 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: XCH2XCH(122), XCH2XCH2(66); H2X(29), HX(21); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction_vdW +H2X(29)+XCH2XCH(122)<=>HX(21)+XCH2XCH2(66) 1.534107e+22 -0.150 26.653 + +! Reaction index: Chemkin #253; RMG #806 +! Template reaction: Surface_Abstraction +! Flux pairs: CHOX(32), COX(23); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +CHOX(32)+XCH2XCH(122)<=>COX(23)+XCH2XCH2(66) 4.180000e+21 0.000 14.832 + +! Reaction index: Chemkin #254; RMG #812 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCOH(80), COX(23); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCOH(80)+XCH2XCH(122)<=>COX(23)+XCH2XCH2(66) 4.180000e+21 0.000 12.931 + +! Reaction index: Chemkin #255; RMG #816 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHOH(81), XCOH(80); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHOH(81)+XCH2XCH(122)<=>XCOH(80)+XCH2XCH2(66) 4.180000e+21 0.000 16.836 + +! Reaction index: Chemkin #256; RMG #817 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCHOH(81), CHOX(32); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H] +! Euclidian distance = 2.8284271247461903 +! family: Surface_Abstraction_Beta +XCHOH(81)+XCH2XCH(122)<=>CHOX(32)+XCH2XCH2(66) 4.180000e+21 0.000 18.021 + +! Reaction index: Chemkin #257; RMG #821 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCCH3(96), XCCH2(119); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCCH3(96)+XCH2XCH(122)<=>XCCH2(119)+XCH2XCH2(66) 1.254000e+22 0.000 65.382 + +! Reaction index: Chemkin #258; RMG #824 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCH3(64), XCCH3(96); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCH2XCH(122)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH2(66) 4.180000e+21 0.000 15.589 + +! Reaction index: Chemkin #259; RMG #825 +! Template reaction: Surface_Abstraction_Beta +! Flux pairs: XCHCH3(64), XCH2XCH2(66); XCH2XCH(122), XCHCH2(67); +! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3] +! Euclidian distance = 3.605551275463989 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta +XCH2XCH(122)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH2(66) 1.254000e+22 0.000 36.143 + +! Reaction index: Chemkin #260; RMG #829 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCHXCH(123); XCH2XCH(122), XCH2XCH2(66); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCH2XCH(122)+XCH2XCH(122)<=>XCHXCH(123)+XCH2XCH2(66) 7.425804e+21 0.000 11.054 + +! Reaction index: Chemkin #261; RMG #830 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2XCH(122), XCXCH2(118); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCH2XCH(122)+XCH2XCH(122)<=>XCXCH2(118)+XCH2XCH2(66) 4.180000e+21 0.000 20.136 + +! Reaction index: Chemkin #262; RMG #861 +! Template reaction: Surface_Abstraction +! Flux pairs: XCCH2(119), XCHCH2(67); XCH2XCH2(66), XCH2XCH(122); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction +XCCH2(119)+XCH2XCH2(66)<=>XCHCH2(67)+XCH2XCH(122) 1.485161e+22 0.000 10.185 + +! Reaction index: Chemkin #263; RMG #955 +! Template reaction: Surface_Dissociation_to_Bidentate +! Flux pairs: XCH2CH3(54), XCH2XCH2(66); X(1), HX(21); X(1), HX(21); +! Matched reaction 1 H2CCH3_X + Pt_5 + Pt_6 <=> H2CCH2_2X + H_X in Surface_Dissociation_to_Bidentate/training +! This reaction matched rate rule [Combined;VacantSite1;VacantSite2] +! family: Surface_Dissociation_to_Bidentate +! metal: None +X(1)+X(1)+XCH2CH3(54)<=>HX(21)+XCH2XCH2(66) 5.570000e+29 0.000 10.994 + +! Reaction index: Chemkin #264; RMG #997 +! Template reaction: Surface_Abstraction +! Flux pairs: XCH2CH3(54), XCHCH3(64); XCH2XCH(122), XCH2XCH2(66); +! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H] +! Euclidian distance = 2.23606797749979 +! Multiplied by reaction path degeneracy 2.0 +! family: Surface_Abstraction +XCH2XCH(122)+XCH2CH3(54)<=>XCHCH3(64)+XCH2XCH2(66) 7.425804e+21 0.000 11.613 + +! Reaction index: Chemkin #265; RMG #998 +! Template reaction: Surface_Abstraction_Beta_vdW +! Flux pairs: XCH2CH3(54), XCH2XCH2(66); XCH2XCH(122), CH2CH2X(68); +! Exact match found for rate rule [Abstracting;R-CH3] +! Euclidian distance = 0 +! Multiplied by reaction path degeneracy 3.0 +! family: Surface_Abstraction_Beta_vdW +XCH2XCH(122)+XCH2CH3(54)<=>CH2CH2X(68)+XCH2XCH2(66) 4.179000e+21 0.000 39.746 + +! Reaction index: Chemkin #266; RMG #1089 +! Template reaction: Surface_Abstraction +! Flux pairs: XCHCO(111), XCCO(106); XCH2XCH(122), XCH2XCH2(66); +! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H] +! Euclidian distance = 1.4142135623730951 +! family: Surface_Abstraction +XCHCO(111)+XCH2XCH(122)<=>XCCO(106)+XCH2XCH2(66) 4.180000e+21 0.000 16.709 + +! Reaction index: Chemkin #267; RMG #1193 +! Template reaction: Surface_vdW_to_Bidentate +! Flux pairs: X(1), XCH2XCH2(66); CH2CH2X(68), XCH2XCH2(66); +! Matched reaction 2 H2CCH2X_vdW + X <=> H2CCH2_2X in Surface_vdW_to_Bidentate/training +! This reaction matched rate rule [Combined;VacantSite] +! family: Surface_vdW_to_Bidentate +! metal: None +X(1)+CH2CH2X(68)<=>XCH2XCH2(66) 1.780000e+21 0.000 2.868 + +! Reaction index: Chemkin #268; RMG #1202 +! Template reaction: Surface_Abstraction_vdW +! Flux pairs: CH2CH2X(68), XCH2XCH2(66); XCH2XCH(122), XCHCH2(67); +! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R] +! Euclidian distance = 1.4142135623730951 +! Multiplied by reaction path degeneracy 4.0 +! family: Surface_Abstraction_vdW +XCH2XCH(122)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH2(66) 3.068214e+22 -0.150 26.653 + +END + diff --git a/ipython/data/cpox_methane/input.py b/ipython/data/cpox_methane/input.py new file mode 100644 index 00000000000..e25e7ac8e9a --- /dev/null +++ b/ipython/data/cpox_methane/input.py @@ -0,0 +1,341 @@ +# Data sources +database( + thermoLibraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC', 'DFT_QCI_thermo'], + reactionLibraries = ['Surface/CPOX_Pt/Deutschmann2006_adjusted', 'BurkeH2O2inArHe'], + seedMechanisms = ['Surface/CPOX_Pt/Deutschmann2006_adjusted'], + kineticsDepositories = ['training'], + kineticsFamilies = ['default', 'surface'], + kineticsEstimator = 'rate rules', +) + +catalystProperties( + metal = 'Pt111' +) + +# List of species +species( + label='X', + reactive=True, + structure=adjacencyList("1 X u0"), +) + +species( + label='CH4', + reactive=True, + structure=SMILES("[CH4]"), +) +species( + label='O2', + reactive=True, + structure=adjacencyList( + """ + 1 O u1 p2 c0 {2,S} + 2 O u1 p2 c0 {1,S} + """), +) + +species( + label='Ar', + reactive=False, + structure=SMILES("[Ar]"), +) + +species( + label='CO2', + reactive=True, + structure=SMILES("O=C=O"), +) + +species( + label='H2O', + reactive=True, + structure=SMILES("O"), +) + +species( + label='H2', + reactive=True, + structure=SMILES("[H][H]"), +) + +species( + label='CO', + reactive=True, + structure=SMILES("[C-]#[O+]"), +) + +species( + label='C2H6', + reactive=True, + structure=SMILES("CC"), +) + +species( + label='CH2O', + reactive=True, + structure=SMILES("C=O"), +) + +species( + label='CH3', + reactive=True, + structure=SMILES("[CH3]"), +) + +species( + label='C3H8', + reactive=True, + structure=SMILES("CCC"), +) + +species( + label='H', + reactive=True, + structure=SMILES("[H]"), +) + +species( + label='C2H5', + reactive=True, + structure=SMILES("C[CH2]"), +) + +species( + label='CH3OH', + reactive=True, + structure=SMILES("CO"), +) + +species( + label='HCO', + reactive=True, + structure=SMILES("[CH]=O"), +) + +species( + label='CH3CHO', + reactive=True, + structure=SMILES("CC=O"), +) + +species( + label='OH', + reactive=True, + structure=SMILES("[OH]"), +) + +species( + label='C2H4', + reactive=True, + structure=SMILES("C=C"), +) + +species( + label='CH3CH', + reactive=True, + structure=SMILES("[CH]C"), +) + +species( + label='CH3OO', + reactive=True, + structure=SMILES("CO[O]"), +) + +species( + label='HX', + reactive=True, + structure=adjacencyList( + """ + 1 H u0 p0 c0 {2,S} + 2 X u0 p0 c0 {1,S} + """), +) + +species( + label='CO2X', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {3,D} + 2 O u0 p2 c0 {3,D} + 3 C u0 p0 c0 {1,D} {2,D} + 4 X u0 p0 c0 + """), +) + +species( + label='COX', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {2,D} + 2 C u0 p0 c0 {1,D} {3,D} + 3 X u0 p0 c0 {2,D} + """), +) + +forbidden( + label='CH4X', + structure=adjacencyList( + """ + 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} + 2 H u0 p0 c0 {1,S} + 3 H u0 p0 c0 {1,S} + 4 H u0 p0 c0 {1,S} + 5 H u0 p0 c0 {1,S} + 6 X u0 p0 c0 + """), +) + +species( + label='OX', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {2,D} + 2 X u0 p0 c0 {1,D} + """), +) + +species( + label='CH2X', + reactive=True, + structure=adjacencyList( + """ + 1 C u0 p0 c0 {2,S} {3,S} {4,D} + 2 H u0 p0 c0 {1,S} + 3 H u0 p0 c0 {1,S} + 4 X u0 p0 c0 {1,D} + """), +) + +species( + label='CH3X', + reactive=True, + structure=adjacencyList( + """ + 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} + 2 H u0 p0 c0 {1,S} + 3 H u0 p0 c0 {1,S} + 4 H u0 p0 c0 {1,S} + 5 X u0 p0 c0 {1,S} + """), +) + +species( + label='CHX', + reactive=True, + structure=adjacencyList( + """ + 1 C u0 p0 c0 {2,S} {3,T} + 2 H u0 p0 c0 {1,S} + 3 X u0 p0 c0 {1,T} + """), +) + +species( + label='CX', + reactive=True, + structure=adjacencyList( + """ + 1 C u0 p0 c0 {2,Q} + 2 X u0 p0 c0 {1,Q} + """), +) + +species( + label='H2X', + reactive=True, + structure=adjacencyList( + """ + 1 H u0 p0 c0 {2,S} + 2 H u0 p0 c0 {1,S} + 3 X u0 p0 c0 + """), +) + +species( + label='OHX', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {2,S} {3,S} + 2 H u0 p0 c0 {1,S} + 3 X u0 p0 c0 {1,S} + """), +) + +species( + label='H2OX', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {2,S} {3,S} + 2 H u0 p0 c0 {1,S} + 3 H u0 p0 c0 {1,S} + 4 X u0 p0 c0 + """), +) + +species( + label='CHOX', + reactive=True, + structure=adjacencyList( + """ + 1 O u0 p2 c0 {2,D} + 2 C u0 p0 c0 {1,D} {3,S} {4,S} + 3 H u0 p0 c0 {2,S} + 4 X u0 p0 c0 {2,S} + """), +) + +surfaceReactor( + temperature=(1000,'K'), + initialPressure=(1.0, 'bar'), + initialGasMoleFractions={ + "CH4": 0.108574, + "O2": 0.02088, + "Ar": 0.78547, + }, + initialSurfaceCoverages={ + "X": 1.0, + }, + surfaceVolumeRatio=(1.e5, 'm^-1'), + terminationConversion = { "CH4":0.95,}, + terminationTime=(10., 's'), +# terminationConversion={'O2': 0.99,}, + terminationRateRatio=0.01 +) + +simulator( + atol=1e-18, + rtol=1e-12, +) + +model( + toleranceKeepInEdge=0.0, + toleranceMoveToCore=0.1, + toleranceInterruptSimulation=0.1, + maximumEdgeSpecies=500000, + maxNumSpecies=70, # stop after 70 species +) + +options( + units='si', + saveRestartPeriod=None, + generateOutputHTML=False, + generatePlots=False, + saveEdgeSpecies=False, + saveSimulationProfiles=False, +) + +generatedSpeciesConstraints( + allowed=['input species', 'reaction libraries', 'seed mechanisms'], + maximumSurfaceSites=2, + maximumCarbonAtoms=2, + maximumOxygenAtoms=2, + maximumNitrogenAtoms=2, + maximumSurfaceBondOrder=4, +) + diff --git a/ipython/data/cpox_methane/species_dictionary.txt b/ipython/data/cpox_methane/species_dictionary.txt new file mode 100644 index 00000000000..74ad7c60341 --- /dev/null +++ b/ipython/data/cpox_methane/species_dictionary.txt @@ -0,0 +1,343 @@ +X(1) +1 X u0 p0 c0 + +H2(6) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} + +HX(21) +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} + +O2(3) +multiplicity 3 +1 O u1 p2 c0 {2,S} +2 O u1 p2 c0 {1,S} + +OX(24) +1 O u0 p2 c0 {2,D} +2 X u0 p0 c0 {1,D} + +CH4(2) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} + +OHX(30) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,S} + +CH3X(26) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} + +H2OX(31) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 + +H2O(5) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} + +CO2(4) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} + +CO2X(22) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 + +COX(23) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 X u0 p0 c0 {2,D} + +CO(7) +1 O u0 p1 c+1 {2,T} +2 C u0 p1 c-1 {1,T} + +CX(28) +1 C u0 p0 c0 {2,Q} +2 X u0 p0 c0 {1,Q} + +CH2X(25) +1 C u0 p0 c0 {2,S} {3,S} {4,D} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,D} + +CHX(27) +1 C u0 p0 c0 {2,S} {3,T} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,T} + +Ar +1 Ar u0 p4 c0 + +Ne +1 Ne u0 p4 c0 + +N2 +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} + +C2H6(8) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} + +CH2O(9) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} + +CH3(10) +multiplicity 2 +1 C u1 p0 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} + +C3H8(11) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 H u0 p0 c0 {3,S} + +H(12) +multiplicity 2 +1 H u1 p0 c0 + +C2H5(13) +multiplicity 2 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u1 p0 c0 {1,S} {6,S} {7,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} + +CH3OH(14) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} + +HCO(15) +multiplicity 2 +1 O u0 p2 c0 {2,D} +2 C u1 p0 c0 {1,D} {3,S} +3 H u0 p0 c0 {2,S} + +CH3CHO(16) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} + +OH(17) +multiplicity 2 +1 O u1 p2 c0 {2,S} +2 H u0 p0 c0 {1,S} + +C2H4(18) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} + +CH3CH(19) +multiplicity 3 +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u2 p0 c0 {1,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} + +CH3OO(20) +multiplicity 2 +1 O u0 p2 c0 {2,S} {3,S} +2 O u1 p2 c0 {1,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} + +H2X(29) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 + +CHOX(32) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} + +XCOH(80) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,T} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,T} + +XCHOH(81) +1 O u0 p2 c0 {2,S} {4,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} + +XCXCH2(118) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +XCCH3(96) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +XCHCH3(64) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {2,D} + +XCCH2(119) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} + +XCH2XCH(122) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} + +XCHCH2(67) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {2,S} + +XCHXCH(123) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} + +XCHXO(70) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,S} + +XCH2CH3(54) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {2,S} + +CHCHX(176) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 + +XCHCO(111) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} + +XCCO(106) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,D} + +XCXCO(105) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} +4 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {3,T} + +CH2CH2X(68) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 + +XCH2XCH2(66) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,S} + diff --git a/ipython/surface_uncertainty.ipynb b/ipython/surface_uncertainty.ipynb new file mode 100644 index 00000000000..527bcdb8018 --- /dev/null +++ b/ipython/surface_uncertainty.ipynb @@ -0,0 +1,1456 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7d2bb3df-3278-4514-bee1-dd6eea5af95f", + "metadata": {}, + "source": [ + "# First-order local uncertainty for a surface mechanism\n", + "\n", + "## With and without correlations through BEEF-vdW DFT ensemble\n", + "\n", + "\n", + "**Uncorrelated Analysis:**\n", + "\n", + "The uncorrelated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n", + "\n", + "$$(\\Delta \\ln c_i)^2 = \\sum_{\\mathrm{reactions}\\; m} \\left(\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}\\right)^2 (\\Delta \\ln k_m)^2 + \\sum_{\\mathrm{species}\\; n} \\left(\\frac{\\partial\\ln c_i}{\\partial G_n}\\right)^2(\\Delta G_n)^2$$\n", + "\n", + "We can get the derivatives $\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}$ and $\\frac{\\partial\\ln c_i}{\\partial G_n}$ through sensitivity analysis.\n", + "\n", + "We compute the input uncertainties $\\Delta G_n$ and $\\Delta \\ln k_m$ by looking up the parameter source and adding the uncertainty that corresponds to that method. See the local_uncertainty.ipynb example or [Gao CW, Liu M, Green WH. Uncertainty analysis of correlated parameters in automated reaction mechanism generation. International journal of chemical kinetics. 2020;52(4):266-282. doi:10.1002/kin.21348](https://onlinelibrary.wiley.com/doi/10.1002/kin.21348) for more information.\n", + "\n", + "\n", + "**Correlated Analysis:**\n", + "\n", + "The correlated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n", + "\n", + "$$(\\Delta \\ln x)^2 = \\sum_w \\sum_{w'} \\left(\\sum_m \\frac{\\partial \\ln x}{\\partial \\ln k_m} \\frac{\\partial \\ln k_m}{\\partial q_w} + \\sum_n \\frac{\\partial \\ln x}{\\partial G_n} \\frac{\\partial G_n}{\\partial q_w}\\right) \\Sigma_{ww'} \\left(\\sum_{m'} \\frac{\\partial \\ln x}{\\partial \\ln k_{m'}} \\frac{\\partial \\ln k_{m'}}{\\partial q_{w'}} + \\sum_{n'} \\frac{\\partial \\ln x}{\\partial G_{n'}} \\frac{\\partial G_{n'}}{\\partial q_{w'}}\\right)$$\n", + "\n", + "Here, we utilize underlying input parameters $q_w$ which may be correlated to each other. For example, species thermo libraries computed using BEEF-vdW have known correlations through the DFT ensemble.\n", + "\n", + "These covariances are computed and saved in the covariance matrix $\\Sigma_{ww'}$.\n", + "\n", + "The derivatives $\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}$ and $\\frac{\\partial\\ln c_i}{\\partial G_n}$ are computed through sensitivity analysis, same as the uncorrelated analysis. \n", + "\n", + "Finally, the derivatives $\\frac{\\partial\\ln k_m}{\\partial q_w}$ and $\\frac{\\partial\\ln G_n}{\\partial q_w}$ describe the weight of each underlying parameter's contribution to a particular species Gibbs energy or reaction rate, and these are tallied up by the uncertainty tool." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b47ba72-0654-448b-9d96-c27548983e07", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "from IPython.display import display, Image\n", + "\n", + "import rmgpy\n", + "from rmgpy.tools.uncertainty import Uncertainty, process_local_results\n", + "from rmgpy.tools.canteramodel import get_rmg_species_from_user_species\n", + "from rmgpy.species import Species\n", + "\n", + "import logging\n", + "logging.basicConfig()\n", + "logging.getLogger().setLevel(logging.WARNING)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "id": "e08914e8-5036-4972-bd2d-7fdf17b7d95d", + "metadata": {}, + "source": [ + "## 1. Load the mechanism (CH4 + O2 over Pt111) and reactor settings" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "383d62bd-7926-4190-8968-bd25906c79fb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:(The line it would be on is ' 300.000 1000.000 5000.000\\n' but that is not formatted as such)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:(It should have Tmin in columns 1-10, Tmid in columns 11-20, and Tmax in columns 21-30)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Ignoring short but non-empty line: ' 300.000 1000.000 5000.000\\n'\n" + ] + } + ], + "source": [ + "# This is a mechanism of methane partial oxidation over Pt111\n", + "\n", + "# Must use annotated chemkin file\n", + "chemkin_file = 'data/cpox_methane/chem_annotated-gas.inp'\n", + "surface_chemkin_file = 'data/cpox_methane/chem_annotated-surface.inp'\n", + "dict_file = 'data/cpox_methane/species_dictionary.txt'\n", + "\n", + "# Initialize the Uncertainty class instance and load the model\n", + "uncertainty = Uncertainty(output_directory='./temp/surface_uncertainty')\n", + "uncertainty.load_model(chemkin_file, dict_file, surface_path=surface_chemkin_file)\n", + "\n", + "# Map the species to the objects within the Uncertainty class\n", + "methane = Species().from_smiles('C')\n", + "X = Species().from_smiles('*') # surface site\n", + "Ar = Species().from_smiles('[Ar]')\n", + "O2 = Species().from_smiles('[O][O]')\n", + "H2O = Species().from_smiles('O')\n", + "CO2 = Species().from_smiles('O=C=O')\n", + "mapping = get_rmg_species_from_user_species([methane, O2, H2O, CO2, Ar, X], uncertainty.species_list)\n", + "\n", + "# Define the reaction conditions\n", + "initial_mole_fractions = {mapping[methane]: 0.1, mapping[Ar]: 0.8, mapping[O2]: 0.1}\n", + "initial_surface_coverage = {mapping[X]: 1.0}\n", + "T = (800, 'K')\n", + "P = (1, 'atm')\n", + "termination_time = (1.0, 's')\n", + "surface_volume_ratio = (1e5, 'm^-1')\n", + "surface_site_density = (2.4830E-09, 'mol/(cm^2)')\n", + "\n", + "# Pick the species to do sensitivity analysis for (which output concentrations to analyze)\n", + "sensitive_species=[mapping[methane], mapping[CO2]]" + ] + }, + { + "cell_type": "markdown", + "id": "357012e9-b724-4282-9d2f-4e5e91eccb30", + "metadata": {}, + "source": [ + "## 2. Run Sensitivity Analysis\n", + "This computes the derivatives $\\frac{\\partial \\ln c_i}{\\partial G_n}$ and $\\frac{\\partial \\ln c_i}{\\partial \\ln k_m}$ for every input species Gibbs energy $G_n$ and reaction rate $\\ln k_m$ in the mechanism with respect to each sensitive species concentration $c_i$\n", + "\n", + "These sensitivities will be used later to propagate the uncertain inputs through the model." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7af15bb1-17b6-4f8e-a779-a82647e25a4b", + "metadata": {}, + "outputs": [], + "source": [ + "# Perform the sensitivity analysis- this takes ~30 seconds\n", + "uncertainty.sensitivity_analysis(\n", + " initial_mole_fractions,\n", + " sensitive_species,\n", + " T,\n", + " P,\n", + " termination_time,\n", + " number=5,\n", + " fileformat='.png',\n", + " initial_surface_coverages=initial_surface_coverage,\n", + " surface_volume_ratio=surface_volume_ratio,\n", + " surface_site_density=surface_site_density,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7cb29bd-95ba-441b-92b4-090625fb02fd", + "metadata": {}, + "outputs": [], + "source": [ + "# Show the sensitivity plots\n", + "for species in sensitive_species:\n", + " print('{}: Reaction Sensitivities'.format(species))\n", + " index = species.index\n", + " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_reactions.png'.format(index))))\n", + " \n", + " print('{}: Thermo Sensitivities'.format(species))\n", + " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_thermo.png'.format(index))))" + ] + }, + { + "cell_type": "markdown", + "id": "210a41fb-3c40-4b70-ac93-2ef3f66182e1", + "metadata": {}, + "source": [ + "## 3. Assign (Uncorrelated) Parameter Uncertainties\n", + "\n", + "Here we look up the sources used to compute each parameter and assign a value for $\\Delta G_n$ or $\\Delta \\ln k_m$" + ] + }, + { + "cell_type": "markdown", + "id": "5bb96967-24d9-4d6e-a190-500512edb1b0", + "metadata": {}, + "source": [ + "### Load the same database that's used in the RMG input file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "359ce9cc-9c60-49f0-9760-12a9da485acd", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading kinetics library Surface/CPOX_Pt/Deutschmann2006_adjusted from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/CPOX_Pt/Deutschmann2006_adjusted/reactions.py...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies library from halogens_G4.py in /home/moon/rmg/RMG-database/input/statmech/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics SIDTs from /home/moon/rmg/RMG-database/input/thermo/sidt...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Cphigh is above the theoretical CpInf value for ThermoData object\n", + "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", + "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + ] + } + ], + "source": [ + "uncertainty.load_database(\n", + " thermo_libraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC', 'DFT_QCI_thermo'],\n", + " kinetics_families=['default', 'surface'],\n", + " reaction_libraries=['Surface/CPOX_Pt/Deutschmann2006_adjusted', 'BurkeH2O2inArHe'],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "142ce48b-80b6-4f02-b05b-956b32cd7bc7", + "metadata": {}, + "source": [ + "### Assign input parameter uncertainties according to their sources" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f639a69f-828d-499b-9047-041715a97060", + "metadata": {}, + "outputs": [], + "source": [ + "# reset the correlated libraries/groups back to the uncorrelated defaults in case someone runs the cells out of order\n", + "uncertainty.thermo_covariance_libraries = None # default is None\n", + "uncertainty.thermo_covariance_groups = None # these are the defaults\n", + "\n", + "uncertainty.extract_sources_from_model()\n", + "uncertainty.assign_intermediate_uncertainties(correlated=False)\n", + "\n", + "# Save the covariance matrix for later comparison\n", + "uncorrelated_thermo_cov = uncertainty.get_thermo_covariance_matrix()\n", + "uncorrelated_kinetics_cov = uncertainty.get_kinetic_covariance_matrix()\n" + ] + }, + { + "cell_type": "markdown", + "id": "667713de-0461-4c20-aaf8-ccd19a09d919", + "metadata": {}, + "source": [ + "# 4. Propagate the input uncertainties through the mechanism local analysis and show the resulting sensitivity index\n", + "\n", + "Use the first-order local uncertainty equation to get the overall variance in concentration:\n", + "$$(\\Delta \\ln c_i)^2 = \\sum_{\\mathrm{reactions}\\; m} \\left(\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}\\right)^2 (\\Delta \\ln k_m)^2 + \\sum_{\\mathrm{species}\\; n} \\left(\\frac{\\partial\\ln c_i}{\\partial G_n}\\right)^2(\\Delta G_n)^2$$\n", + "\n", + "The Sensitivity Index shows the % an input parameter contributes to the overall variance of the output" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5676863-89f9-48ca-9a45-04cd1aed9c2e", + "metadata": {}, + "outputs": [], + "source": [ + "result = uncertainty.local_analysis_intermediate(sensitive_species, correlated=False, number=10, fileformat='.png')\n", + "print(process_local_results(result, sensitive_species, number=5)[1])" + ] + }, + { + "cell_type": "markdown", + "id": "165c905f-2f26-4a12-a0b5-a854fe319a9d", + "metadata": {}, + "source": [ + "### Repeat for Correlated Uncertainties\n", + "\n", + "The next cell computes correlated uncertainties of the underlying parameters and saves them in $\\Sigma_{ww'}$\n", + "\n", + "It also computes the derivatives $\\frac{\\partial \\ln k_m}{\\partial q_w}$ and $\\frac{\\partial \\ln G_n}{\\partial q_w}$\n", + "\n", + "We use the same sensitivities computed in Step 2.\n", + "\n", + "Then the correlated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n", + "\n", + "$$(\\Delta \\ln c_i)^2 = \\sum_w \\sum_{w'} \\left(\\sum_m \\frac{\\partial \\ln c_i}{\\partial \\ln k_m} \\frac{\\partial \\ln k_m}{\\partial q_w} + \\sum_n \\frac{\\partial \\ln c_i}{\\partial G_n} \\frac{\\partial G_n}{\\partial q_w}\\right) \\Sigma_{ww'} \\left(\\sum_{m'} \\frac{\\partial \\ln c_i}{\\partial \\ln k_{m'}} \\frac{\\partial \\ln k_{m'}}{\\partial q_{w'}} + \\sum_{n'} \\frac{\\partial \\ln c_i}{\\partial G_{n'}} \\frac{\\partial G_{n'}}{\\partial q_{w'}}\\right)$$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e024e373-73d7-4d3c-b025-53bf39ab6314", + "metadata": {}, + "outputs": [], + "source": [ + "uncertainty.thermo_covariance_libraries = [os.path.join(rmgpy.settings['database.directory'], 'thermo', 'uncertainty', 'surfaceThermoPt111')]\n", + "uncertainty.thermo_covariance_groups = [os.path.join(rmgpy.settings['database.directory'], 'thermo', 'uncertainty', 'adsorptionPt111')]\n", + "\n", + "uncertainty.extract_sources_from_model()\n", + "uncertainty.assign_intermediate_uncertainties(correlated=True)\n", + "\n", + "# Save the covariance matrix for later comparison\n", + "correlated_thermo_cov = uncertainty.get_thermo_covariance_matrix()\n", + "correlated_kinetics_cov = uncertainty.get_kinetic_covariance_matrix()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8df6b087-67ec-4f14-a2c6-7fa9686d6203", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "Total variance [(d ln(c))^2] for species CH4 is 3.248625\n", + "--------------------------------------------------------------------------------\n", + "Top 5 reaction rate contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 2.4434%\n", + "Surface_Library COX(23)<=>X(1)+CO(7) 1.0319%\n", + "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.2719%\n", + "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.2450%\n", + "Surface_Library X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.1869%\n", + "--------------------------------------------------------------------------------\n", + "Top 5 thermochemistry contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "Surface_Library X(1) 85.9865%\n", + "Surface_Library H2OX(31) 3.7244%\n", + "Library H2(6) 2.3298%\n", + "Surface_Library H2X(29) 1.1730%\n", + "Library CH4(2) 0.9880%\n", + "================================================================================\n", + "\n", + "================================================================================\n", + "Total variance [(d ln(c))^2] for species CO2 is 0.615255\n", + "--------------------------------------------------------------------------------\n", + "Top 5 reaction rate contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 8.8033%\n", + "Surface Training Surface_Abstraction OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 2.5025%\n", + "Surface_Library COX(23)<=>X(1)+CO(7) 2.2631%\n", + "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.9745%\n", + "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.8779%\n", + "--------------------------------------------------------------------------------\n", + "Top 5 thermochemistry contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "Surface_Library X(1) 62.0032%\n", + "Surface_Library H2OX(31) 14.0870%\n", + "Surface_Library OHX(30) 5.2360%\n", + "Library H2O(5) 2.2144%\n", + "Library CO2(4) 0.2343%\n", + "================================================================================\n", + "\n", + "\n" + ] + } + ], + "source": [ + "result = uncertainty.local_analysis_intermediate(sensitive_species, correlated=True, number=10, fileformat='.png')\n", + "print(process_local_results(result, sensitive_species, number=5)[1])" + ] + }, + { + "cell_type": "markdown", + "id": "55cf9bdd-e6e0-473e-a66b-b4ee173c2dec", + "metadata": {}, + "source": [ + "# 5. We can also export covariance matrices of the input parameter uncertainties\n", + "\n", + "Here we compute the species covariance matrix $\\Sigma_G$ and the reaction covariance matrix $\\Sigma_{\\ln k}$ - note this is different from the covariance matrix for the underlying parameters $\\Sigma_{ww'}$, which represents sources that might be reused across species/reactions like individual Benson groups or rate rules.\n", + "\n", + "The species Gibbs covariance matrix $\\Sigma_G$ and reaction rate covariance matrix $\\Sigma_{\\ln k}$ can be useful for uncertainty quantification performed outside of RMG. They can also be useful for optimization and parameter fitting, which can used correlated uncertainties to find the best fit to experimental data.\n", + "\n", + "\n", + "For the uncorrelated covariance matrices on the left, only the diagonal values are non-zero.\n", + "The correlated analysis for the thermo on the right includes correlations through the BEEF-vdW ensemble and the reference species that are used to compute each species.\n", + "\n", + "The gas-phase species are listed first in the mechanism, and these have much lower uncertainty values than the surface-phase species because the DFT is more accurate for gas-phase species than for adsorbates" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff40668a-252f-446f-933f-10dac739a859", + "metadata": {}, + "outputs": [], + "source": [ + "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n", + "plt.subplots_adjust(wspace=0.3)\n", + "\n", + "# Uncorrelated Species Thermo Uncertainties\n", + "mat1 = axs[0].matshow(uncorrelated_thermo_cov)\n", + "axs[0].xaxis.set_ticks_position('bottom')\n", + "axs[0].xaxis.set_label_position('bottom')\n", + "cb1 = fig.colorbar(mat1, ax=axs[0], fraction=0.046, pad=0.04)\n", + "cb1.ax.set_title(' (kcal/mol)^2')\n", + "axs[0].set_title('Uncorrelated\\nThermo Covariance Matrix')\n", + "axs[0].set_xlabel('Species Index')\n", + "axs[0].set_ylabel('Species Index')\n", + "\n", + "# Correlated Species Thermo Uncertainties\n", + "mat2 = axs[1].matshow(correlated_thermo_cov)\n", + "axs[1].xaxis.set_ticks_position('bottom')\n", + "axs[1].xaxis.set_label_position('bottom')\n", + "cb2 = fig.colorbar(mat2, ax=axs[1], fraction=0.046, pad=0.04)\n", + "cb2.ax.set_title(' (kcal/mol)^2')\n", + "axs[1].set_title('Correlated\\nThermo Covariance Matrix')\n", + "axs[1].set_xlabel('Species Index')\n", + "axs[1].set_ylabel('Species Index')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "904957bf-ab1a-401f-bedc-74ecf104c012", + "metadata": {}, + "outputs": [], + "source": [ + "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n", + "plt.subplots_adjust(wspace=0.3)\n", + "\n", + "# Uncorrelated Species Thermo Uncertainties\n", + "mat1 = axs[0].matshow(uncorrelated_kinetics_cov)\n", + "axs[0].xaxis.set_ticks_position('bottom')\n", + "axs[0].xaxis.set_label_position('bottom')\n", + "cb1 = fig.colorbar(mat1, ax=axs[0], fraction=0.046, pad=0.04)\n", + "cb1.ax.set_title(' (ln k)^2')\n", + "axs[0].set_title('Uncorrelated\\nKinetics Covariance Matrix')\n", + "axs[0].set_xlabel('Reaction Index')\n", + "axs[0].set_ylabel('Reaction Index')\n", + "\n", + "# Correlated Species Thermo Uncertainties\n", + "mat2 = axs[1].matshow(correlated_kinetics_cov)\n", + "axs[1].xaxis.set_ticks_position('bottom')\n", + "axs[1].xaxis.set_label_position('bottom')\n", + "cb2 = fig.colorbar(mat2, ax=axs[1], fraction=0.046, pad=0.04)\n", + "cb2.ax.set_title(' (ln k)^2')\n", + "axs[1].set_title('Correlated\\nKinetics Covariance Matrix')\n", + "axs[1].set_xlabel('Reaction Index')\n", + "axs[1].set_ylabel('Reaction Index')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8cee9fe6-0b3f-45cd-993f-b24546c476d1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.23" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From d916abc9666b53146c441b9554922f8cfd1d30aa Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Sun, 31 May 2026 23:11:04 -0400 Subject: [PATCH 650/700] bugfix: surface UQ make sure X has 0 uncertainty X the surface site is the reference and should have 0 uncertainty because it is a definitional reference. This patch is a little messy because UQ does not yet pass in species items into uncertainty estimation functions. There is a planned PR to fix this and then this bugfix can be implemented more gracefully and completely without any string matching or having to zero out the dG_dq value for X --- rmgpy/tools/uncertainty.py | 25 +++++++++++++++++++------ 1 file changed, 19 insertions(+), 6 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 1811a554587..371298abb6d 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -159,6 +159,15 @@ def _get_covariance_qq(self, q_label1, q_label2): The possible intermediate parameter types are: Library, Surface_Library, QM, Estimation, AdsorptionCorrection, or Group """ + + # explicit covariance should overrule default uncertainties when available + if self.other_covariances is not None: + # check if covariance is specified in other_covariances dict + sorted_labels = tuple(sorted([q_label1, q_label2])) + if sorted_labels in self.other_covariances: + return self.other_covariances[sorted_labels] + + intermediate_parameters = { 'Library': self.dG_library, 'Surface_Library': self.dG_surf_lib, @@ -181,15 +190,13 @@ def _get_covariance_qq(self, q_label1, q_label2): if corr_type1 is None or corr_type2 is None: raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}') - if self.other_covariances is not None: - # check if covariance is specified in other_covariances dict - sorted_labels = tuple(sorted([q_label1, q_label2])) - if sorted_labels in self.other_covariances: - return self.other_covariances[sorted_labels] - if corr_type1 != corr_type2: return 0 elif q_label1 == q_label2: + # have to check for surface site (later reformulation will allow for isomorphic check instead of this messy/incomplete string matching) + if q_label1 == 'Surface_Library X(1)': + return 0 # surface species is our zero reference by definition, so it should have no uncertainty, and thus no covariance with itself + # If the two correlated parameters are exactly the same, return the variance of that parameter return intermediate_parameters[corr_type1] ** 2.0 return 0 @@ -1000,6 +1007,8 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non entry_copy = entry.copy() entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin() dG = g_param_engine.get_uncertainty_value(entry_copy) + if species.is_surface_site(): + dG = 0 # surface species is our zero reference by definition, so it should have no uncertainty else: dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) self.thermo_input_uncertainties.append(dG) @@ -1141,6 +1150,8 @@ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine= entry_copy = entry.copy() entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin() dG = g_param_engine.get_uncertainty_value(entry_copy) + if species.is_surface_site(): + dG = 0 # surface species is our zero reference by definition, so it should have no uncertainty else: dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species]) self.thermo_intermediate_uncertainties.append(dG) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty @@ -1159,6 +1170,8 @@ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine= except IndexError: label = 'Surface_Library {}'.format(self.extra_species[source['Surface_Library'] - len(self.species_list)].to_chemkin()) dGdq[label] = 1 # dG/dG_surf = 1, because the parameter is never scaled by anything other than 1 when it is used + if species.is_surface_site(): + dGdq[label] = 0 # surface species is our zero reference by definition, so it should have no uncertainty if 'QM' in source: label = 'QM {}'.format(self.species_list[source['QM']].to_chemkin()) dGdq[label] = 1 From 5d9f602a70848e3d62f2c9d22fed9d4c7ce12817 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 3 Jun 2026 17:05:10 -0400 Subject: [PATCH 651/700] UQ: read covariance from .csv instead of .npy --- rmgpy/tools/uncertainty.py | 32 ++++++++++++++++++++++---------- 1 file changed, 22 insertions(+), 10 deletions(-) diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 371298abb6d..46a05529c90 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -29,6 +29,7 @@ import os +import pandas as pd import numpy as np import warnings @@ -539,7 +540,7 @@ def load_thermo_covariances_from_libraries(self): This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance libraries For each library, it expects: - 1. a covariance.npy file containing the thermo covariance matrix and + 1. a covariance.csv file containing the thermo covariance matrix and 2. a species_dictionary.txt file containing the species corresponding to the covariance data. In the same order. See the RMG-database/scripts/compile_BEEF_cov.ipynb Jupyter notebook for more details on how to generate these covariance libraries. @@ -547,7 +548,7 @@ def load_thermo_covariances_from_libraries(self): This function only adds covariance data for species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction) and only for the thermo source associated with that library. The goal is to keep the dictionary as small as possible because the lookups scale badly. - Note: the covariance.npy matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis + Note: the covariance.csv matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis """ from rmgpy.chemkin import load_species_dictionary if self.database is None: @@ -557,9 +558,10 @@ def load_thermo_covariances_from_libraries(self): library_name = os.path.basename(cov_lib) if library_name in self.database.thermo.libraries: library = self.database.thermo.libraries[library_name] + library_entry_labels = [entry.label for entry in library.entries.values()] else: raise ValueError(f'Thermo covariance library {library_name} not found in the loaded database') - covariance_file = os.path.join(cov_lib, 'covariance.npy') + covariance_file = os.path.join(cov_lib, 'covariance.csv') covariance_species = os.path.join(cov_lib, 'species_dictionary.txt') if not os.path.isfile(covariance_file): @@ -579,7 +581,11 @@ def load_thermo_covariances_from_libraries(self): warnings.warn(f'Thermo covariance library {cov_lib} is older than the thermo library {library_name}, which may mean the covariance data is out of date and not consistent with the current library data') # Load covariance data and species - cov_data = np.load(covariance_file) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 + df = pd.read_csv(covariance_file) + cov_labels = df.columns.values + if any(cov_labels != library_entry_labels): + raise ValueError(f'Covariance library {cov_lib} contains labels {cov_labels} that are not in the associated thermo library {library_name}, which has labels {library_entry_labels}. The covariance data and thermo library data must be consistent with each other.') + cov_data = np.array(df) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 cov_species_dict = load_species_dictionary(covariance_species) cov_specs = [item for _, item in cov_species_dict.items()] @@ -626,7 +632,7 @@ def load_thermo_covariances_from_groups(self): This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance group trees For each group tree, it expects: - 1. a covariance.npy file containing the thermo covariance matrix, + 1. a covariance.csv file containing the thermo covariance matrix, 2. a groups.py file containing the group definitions for the covariance data, in the same order as covariance.npy, and 3. (optional) a species_dictionary.txt file containing the species in an associated library containing the training data. For example, the adsorptionPt111 correction tree uses the same species as surfaceThermoPt111, so it includes a species_dictionary.txt file to be able to get correlations with that library. @@ -636,7 +642,7 @@ def load_thermo_covariances_from_groups(self): This function only adds covariance data for groups and species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction) and only for the thermo source associated with that group/library. The goal is to keep the dictionary as small as possible because the lookups scale badly. - Note: the covariance.npy matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis + Note: the covariance.csv matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis """ from rmgpy.chemkin import load_species_dictionary # assumes there might also be covariances associated with library entries @@ -665,7 +671,7 @@ def load_thermo_covariances_from_groups(self): else: raise ValueError(f'Associated library {library_name} for covariance group {cov_group_tree_name} not found in the loaded database') - covariance_file = os.path.join(cov_group_tree, 'covariance.npy') + covariance_file = os.path.join(cov_group_tree, 'covariance.csv') if not os.path.isfile(covariance_file): raise ValueError(f'Thermo covariance file {covariance_file} not found in {cov_group_tree}') group_database_file = os.path.join(cov_group_tree, 'groups.py') @@ -691,7 +697,9 @@ def load_thermo_covariances_from_groups(self): warnings.warn(f'Thermo covariance group tree {cov_group_tree} is older than the associated library {associated_library.label}, which may mean the covariance data is out of date and not consistent with the current library data') # load data - cov_data = np.load(covariance_file) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 + df = pd.read_csv(covariance_file) + cov_data = np.array(df) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2 + cov_data_labels = df.columns.values group_database = rmgpy.data.thermo.ThermoGroups() group_database.load(group_database_file) @@ -703,6 +711,9 @@ def load_thermo_covariances_from_groups(self): group_items = [x.item for _, x in group_database.entries.items()] group_labels = [x.label for _, x in group_database.entries.items()] + if any(cov_data_labels[:len(group_labels)] != group_labels): + raise ValueError(f'Covariance group tree {cov_group_tree} contains labels {cov_data_labels} that are not consistent with the group labels {group_labels} in the associated RMG group tree {cov_group_tree_name}. The covariance data and group definitions must be consistent with each other.') + n_groups = len(group_items) n_mols = len(cov_specs) if cov_data.shape[0] != n_groups + n_mols: @@ -719,8 +730,9 @@ def load_thermo_covariances_from_groups(self): groups_in_model = self.all_thermo_sources['ADS'][cov_group_tree_name] elif cov_group_tree_name in self.all_thermo_sources['GAV']: groups_in_model = self.all_thermo_sources['GAV'][cov_group_tree_name] + group_items_in_model = [x.item for x in groups_in_model] - group_labels_in_model = [x.label for x in groups_in_model] + group_labels_in_model = [x.label for x in groups_in_model] # order of these two not guaranteed # get labels through isomorphism with the groups in the model, so it doesn't matter if names change, it matches structure valid_group_indices = [i for i in range(n_groups) if get_i_thing(group_items[i], group_items_in_model) >= 0] @@ -1507,7 +1519,7 @@ def local_analysis_intermediate(self, sensitive_species, reaction_system_index=0 for i in range(len(thermo_contributions)): if thermo_contributions[i] < 0: - print(f'Warning: negative contribution to variance from {self.all_thermo_intermediates[i]} of {thermo_contributions[i]}. Setting contribution to 0 for plotting purposes.') + # print(f'Warning: negative contribution to variance from {self.all_thermo_intermediates[i]} of {thermo_contributions[i]}. Setting contribution to 0 for plotting purposes.') thermo_contributions[i] = 0 total_variance = np.sum(thermo_contributions) + np.sum(kinetic_contributions) From 87535221ceb91b9ebb55385dfcf932a698ee8353 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 3 Jun 2026 18:55:24 -0400 Subject: [PATCH 652/700] Add example using covariance matrices to sample in Cantera One cool new feature of the RMG UQ is that is can export covariance matrices. This means we can run global sampling studies using an RMG mechanism in an external solver like Cantera. This adds an example to the surface uncertainty demo to show how to sample the input parameters according to their computed covariance matrices to get a distribution on the output concentration of a model simulated in Cantera. --- ipython/surface_uncertainty.ipynb | 1690 +++++++++-------------------- 1 file changed, 517 insertions(+), 1173 deletions(-) diff --git a/ipython/surface_uncertainty.ipynb b/ipython/surface_uncertainty.ipynb index 527bcdb8018..ecf2cd9ca2a 100644 --- a/ipython/surface_uncertainty.ipynb +++ b/ipython/surface_uncertainty.ipynb @@ -38,1157 +38,223 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "5b47ba72-0654-448b-9d96-c27548983e07", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "from IPython.display import display, Image\n", - "\n", - "import rmgpy\n", - "from rmgpy.tools.uncertainty import Uncertainty, process_local_results\n", - "from rmgpy.tools.canteramodel import get_rmg_species_from_user_species\n", - "from rmgpy.species import Species\n", - "\n", - "import logging\n", - "logging.basicConfig()\n", - "logging.getLogger().setLevel(logging.WARNING)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "id": "e08914e8-5036-4972-bd2d-7fdf17b7d95d", - "metadata": {}, - "source": [ - "## 1. Load the mechanism (CH4 + O2 over Pt111) and reactor settings" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "383d62bd-7926-4190-8968-bd25906c79fb", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:(The line it would be on is ' 300.000 1000.000 5000.000\\n' but that is not formatted as such)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:(It should have Tmin in columns 1-10, Tmid in columns 11-20, and Tmax in columns 21-30)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Ignoring short but non-empty line: ' 300.000 1000.000 5000.000\\n'\n" - ] - } - ], - "source": [ - "# This is a mechanism of methane partial oxidation over Pt111\n", - "\n", - "# Must use annotated chemkin file\n", - "chemkin_file = 'data/cpox_methane/chem_annotated-gas.inp'\n", - "surface_chemkin_file = 'data/cpox_methane/chem_annotated-surface.inp'\n", - "dict_file = 'data/cpox_methane/species_dictionary.txt'\n", - "\n", - "# Initialize the Uncertainty class instance and load the model\n", - "uncertainty = Uncertainty(output_directory='./temp/surface_uncertainty')\n", - "uncertainty.load_model(chemkin_file, dict_file, surface_path=surface_chemkin_file)\n", - "\n", - "# Map the species to the objects within the Uncertainty class\n", - "methane = Species().from_smiles('C')\n", - "X = Species().from_smiles('*') # surface site\n", - "Ar = Species().from_smiles('[Ar]')\n", - "O2 = Species().from_smiles('[O][O]')\n", - "H2O = Species().from_smiles('O')\n", - "CO2 = Species().from_smiles('O=C=O')\n", - "mapping = get_rmg_species_from_user_species([methane, O2, H2O, CO2, Ar, X], uncertainty.species_list)\n", - "\n", - "# Define the reaction conditions\n", - "initial_mole_fractions = {mapping[methane]: 0.1, mapping[Ar]: 0.8, mapping[O2]: 0.1}\n", - "initial_surface_coverage = {mapping[X]: 1.0}\n", - "T = (800, 'K')\n", - "P = (1, 'atm')\n", - "termination_time = (1.0, 's')\n", - "surface_volume_ratio = (1e5, 'm^-1')\n", - "surface_site_density = (2.4830E-09, 'mol/(cm^2)')\n", - "\n", - "# Pick the species to do sensitivity analysis for (which output concentrations to analyze)\n", - "sensitive_species=[mapping[methane], mapping[CO2]]" - ] - }, - { - "cell_type": "markdown", - "id": "357012e9-b724-4282-9d2f-4e5e91eccb30", - "metadata": {}, - "source": [ - "## 2. Run Sensitivity Analysis\n", - "This computes the derivatives $\\frac{\\partial \\ln c_i}{\\partial G_n}$ and $\\frac{\\partial \\ln c_i}{\\partial \\ln k_m}$ for every input species Gibbs energy $G_n$ and reaction rate $\\ln k_m$ in the mechanism with respect to each sensitive species concentration $c_i$\n", - "\n", - "These sensitivities will be used later to propagate the uncertain inputs through the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7af15bb1-17b6-4f8e-a779-a82647e25a4b", - "metadata": {}, - "outputs": [], - "source": [ - "# Perform the sensitivity analysis- this takes ~30 seconds\n", - "uncertainty.sensitivity_analysis(\n", - " initial_mole_fractions,\n", - " sensitive_species,\n", - " T,\n", - " P,\n", - " termination_time,\n", - " number=5,\n", - " fileformat='.png',\n", - " initial_surface_coverages=initial_surface_coverage,\n", - " surface_volume_ratio=surface_volume_ratio,\n", - " surface_site_density=surface_site_density,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e7cb29bd-95ba-441b-92b4-090625fb02fd", - "metadata": {}, - "outputs": [], - "source": [ - "# Show the sensitivity plots\n", - "for species in sensitive_species:\n", - " print('{}: Reaction Sensitivities'.format(species))\n", - " index = species.index\n", - " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_reactions.png'.format(index))))\n", - " \n", - " print('{}: Thermo Sensitivities'.format(species))\n", - " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_thermo.png'.format(index))))" - ] - }, - { - "cell_type": "markdown", - "id": "210a41fb-3c40-4b70-ac93-2ef3f66182e1", - "metadata": {}, - "source": [ - "## 3. Assign (Uncorrelated) Parameter Uncertainties\n", - "\n", - "Here we look up the sources used to compute each parameter and assign a value for $\\Delta G_n$ or $\\Delta \\ln k_m$" - ] - }, - { - "cell_type": "markdown", - "id": "5bb96967-24d9-4d6e-a190-500512edb1b0", - "metadata": {}, - "source": [ - "### Load the same database that's used in the RMG input file" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "359ce9cc-9c60-49f0-9760-12a9da485acd", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading kinetics library Surface/CPOX_Pt/Deutschmann2006_adjusted from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/CPOX_Pt/Deutschmann2006_adjusted/reactions.py...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading frequencies library from halogens_G4.py in /home/moon/rmg/RMG-database/input/statmech/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading thermodynamics SIDTs from /home/moon/rmg/RMG-database/input/thermo/sidt...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Cphigh is above the theoretical CpInf value for ThermoData object\n", - "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", - "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Cphigh is above the theoretical CpInf value for ThermoData object\n", - "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n", - "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Ni'. Using 'Ni111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Pt'. Using 'Pt111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] - }, + "execution_count": 1, + "id": "5b47ba72-0654-448b-9d96-c27548983e07", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import numpy as np\n", + "import subprocess\n", + "\n", + "from IPython.display import display, Image\n", + "\n", + "import rmgpy\n", + "from rmgpy.tools.uncertainty import Uncertainty, process_local_results\n", + "from rmgpy.tools.canteramodel import get_rmg_species_from_user_species\n", + "from rmgpy.species import Species\n", + "\n", + "import cantera as ct\n", + "\n", + "import logging\n", + "logging.basicConfig()\n", + "logging.getLogger().setLevel(logging.ERROR)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "id": "e08914e8-5036-4972-bd2d-7fdf17b7d95d", + "metadata": {}, + "source": [ + "## 1. Load the mechanism (CH4 + O2 over Pt111) and reactor settings" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "383d62bd-7926-4190-8968-bd25906c79fb", + "metadata": {}, + "outputs": [], + "source": [ + "# This is a mechanism of methane partial oxidation over Pt111\n", + "\n", + "# Must use annotated chemkin file\n", + "chemkin_file = 'data/cpox_methane/chem_annotated-gas.inp'\n", + "surface_chemkin_file = 'data/cpox_methane/chem_annotated-surface.inp'\n", + "dict_file = 'data/cpox_methane/species_dictionary.txt'\n", + "\n", + "# Initialize the Uncertainty class instance and load the model\n", + "uncertainty = Uncertainty(output_directory='./temp/surface_uncertainty')\n", + "uncertainty.load_model(chemkin_file, dict_file, surface_path=surface_chemkin_file)\n", + "\n", + "# Map the species to the objects within the Uncertainty class\n", + "methane = Species().from_smiles('C')\n", + "X = Species().from_smiles('*') # surface site\n", + "Ar = Species().from_smiles('[Ar]')\n", + "O2 = Species().from_smiles('[O][O]')\n", + "H2O = Species().from_smiles('O')\n", + "CO2 = Species().from_smiles('O=C=O')\n", + "mapping = get_rmg_species_from_user_species([methane, O2, H2O, CO2, Ar, X], uncertainty.species_list)\n", + "\n", + "# Define the reaction conditions\n", + "initial_mole_fractions = {mapping[methane]: 0.1, mapping[Ar]: 0.8, mapping[O2]: 0.1}\n", + "initial_surface_coverage = {mapping[X]: 1.0}\n", + "T = (800, 'K')\n", + "P = (1, 'atm')\n", + "termination_time = (1.0, 's')\n", + "surface_volume_ratio = (1e5, 'm^-1')\n", + "surface_site_density = (2.4830E-09, 'mol/(cm^2)')\n", + "\n", + "# Pick the species to do sensitivity analysis for (which output concentrations to analyze)\n", + "sensitive_species=[mapping[methane], mapping[CO2]]" + ] + }, + { + "cell_type": "markdown", + "id": "357012e9-b724-4282-9d2f-4e5e91eccb30", + "metadata": {}, + "source": [ + "## 2. Run Sensitivity Analysis\n", + "This computes the derivatives $\\frac{\\partial \\ln c_i}{\\partial G_n}$ and $\\frac{\\partial \\ln c_i}{\\partial \\ln k_m}$ for every input species Gibbs energy $G_n$ and reaction rate $\\ln k_m$ in the mechanism with respect to each sensitive species concentration $c_i$\n", + "\n", + "These sensitivities will be used later to propagate the uncertain inputs through the model." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7af15bb1-17b6-4f8e-a779-a82647e25a4b", + "metadata": {}, + "outputs": [], + "source": [ + "# Perform the sensitivity analysis- this takes ~30 seconds\n", + "uncertainty.sensitivity_analysis(\n", + " initial_mole_fractions,\n", + " sensitive_species,\n", + " T,\n", + " P,\n", + " termination_time,\n", + " number=5,\n", + " fileformat='.png',\n", + " initial_surface_coverages=initial_surface_coverage,\n", + " surface_volume_ratio=surface_volume_ratio,\n", + " surface_site_density=surface_site_density,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e7cb29bd-95ba-441b-92b4-090625fb02fd", + "metadata": {}, + "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + "CH4(2): Reaction Sensitivities\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] + "data": { + "image/png": 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+hGrVqmH16tXo27cv+vXrhxEjRojWp6WloWrVqtDV1S2xrO/evcP333+P4cOHo3r16qUelzz6+vq4fPlyufMVpauri0WLFuG7777DxIkT0bNnT2FdZbfD8l7HmZmZMtss7uXLl3j58qXM/wnDhg3D06dP0b17dxQUFCAvLw8TJ07E999/r9DxFKWvr4/79+/jw4cPMm0DKHzEJScnR/j71atX5d4HERER/TsoHJinpqYiNzdXNFS6du3aMDExKTNvmzZthH9raWlBR0en1B5haYBV9Edtaby8vODq6ipaFhAQgDNnzgAAXr9+jREjRmDz5s2oW7duidvJzs5GtWrVSlyflJSEgQMHYu7cuXJ7mDU0NESTXclTUFCAX3/9FeHh4QCAGzduQEVFRdQrY2pqqlAvV9F6bdCgAYDCYfFlBeb+/v7IysrChQsXKm0IbmWxsrLCzZs3y0xnYmKCAwcOiJY9evSoxB/7ZZ270hRth1euXMHFixehqamJ2NhYWFlZidKW1oZ27dqF169f48qVK/Dy8sKKFSswc+bMcpVFQ0MDAETtrGiAkZ+fj5ycHNGyHj16ICoqCkBh+1P0urKxscH69etFy86dOycTKAIfVy9A4UgJV1dXbN68WTSxW1HSSbvkTQYmr16sra2hoaGBlStX4rvvvitx30BhoF2euRiKMjQ0xJw5czBnzhyEhoZiypQpwjPaRa/jXbt2yQSPzs7OcrcZFBQETU1NXLt2DZmZmaLh/NnZ2VBXVy/xPL5//x7Dhg3Dhw8fsG7dugodU/HvMj8/P9EM8NnZ2YiLixM9zhMVFSV6Fjs/Px+hoaHQ1NREXFwc8vLyoKJS+F/Op2qHpSm6Px0dHVy6dEkmTYsWLYR/Z2dnA4BMu42JicGSJUuwbt06dOrUCbdv38b//vc/NGjQQGaSuLJoaGjgw4cPyMnJEdpwUUuXLsWCBQvKtU0iIiL6d1I4MP+YiY6K935KJJJSZ6Jt0aIFJBIJbty4odAr1OrWrYvmzZuLlhUdDpuamoq0tDTRMEfp/lVUVJCcnIxmzZqhbt26JU54dP36dfTu3Rvjxo2T6Z2Xev78OerVq1dqWePj45Gbm4vu3bsDKP9NiKKK1qs0vyIz/Pbo0QOHDh3C7t27K9TL80+gpqYmc86lP/qLK+3cGRsb4/r163Lz3bhxA8D//1jPzc2Fi4sLnJycYGdnh3HjxsHBwQHGxsZCntLakIGBAQCgZcuWyM/Px/jx4zFjxgxUrVpVgSMuJH0EpGg7KzoK5Ny5c5g1a5boGeKiP/iNjY2F4yqLlpaWTB0/fPhQJt3H1svp06fh4OCAlStXwsXFRW6agoICbN26FSNHjoSamprMenn18uuvvyI0NBTu7u7YtGkTRo4cCScnJ+jp6cnkDwsLw4QJE+TuW2rjxo1yA+m//voL4eHh2LZtGxISEtCvXz+MGjVKZmJDAwMDmfqUF4zt2rULBw4cwNmzZzFy5EhMnz5dNOy+bt26ePv2LXJzc2Xq4v379xgyZAju3r2LkydPVqi3HJD9Lvvuu+8wZMgQ4W9nZ2d8++23+Oabb4RlRYfbA4WPyty6dQvnz59H79694efnh7lz5wKo/HZYnusYAKpUqSKzzeLq1KkDiUQi0259fX0xcuRIYTK+1q1bIysrC+PHj4ePj4/cnu+SPH/+HJqamnLbAVA4sqnoLP2vXr0SvkeIiIjo86LwL4jmzZtDVVUVcXFxwrIXL16IhgdWltq1a8Pe3h4//fQTsrKyZNaX953gpqamuHbtGhISEoSPo6MjbGxskJCQIPzQsbCwkPvjLikpCTY2Nhg1ahSWLFkidx/v3r1Damqq3Gcmi4qMjMSAAQOEYMzMzAx5eXm4cOGCkCY5Obncx1geVlZWOHLkCPz8/ITJmD5XZZ27YcOG4datW6KZwKX8/f1Rp04doYd94cKFePbsGdasWYMRI0bA3t4ebm5uopshJbWh4goKCvD+/fty3/BKTEyEqqqqqFe5efPmwkdfXx8qKioyy6SGDx+OEydOyB2mnJeXJ/d6K8vH1EtMTAwGDBggzM5dktOnT+P27dslzg8hr16+/PJL7NmzB48fP8bYsWMRHh6ORo0aoV+/ftixY4eoR9jR0VH0/SDvU3QSsJycHOzduxeOjo5o2LAhgoKCMHz4cDx69AiRkZH45ptvKnSz7c8//8TkyZOxePFiWFhYICQkBNu3bxdGPAAQhr4Xr09pUH7r1i2cOHECderUKff+pRITE0XfZbVr1xa1KQ0NDejq6sosk0pKSsK8efOwfv16tGzZEhs2bMDixYtx9epVAJXfDstzHStKTU0NLVu2lKnnt2/fygTfVatWRUFBQYWu5/bt25e4Xl1dHdWrVxd9iIiI6POkcGCura2NMWPGwMvLC9HR0UhMTISrq2u5egfKY926dcjPz4eVlRX27duHW7du4caNGwgICCj3zOPVqlVDq1atRJ+aNWtCR0cHrVq1Enqd7O3tkZSUJOohkQZ2dnZ28PDwQEZGBjIyMvD06VPRPuLi4qCurl5m2Yq/Js3ExAR9+/bFuHHjcO7cOVy8eBFjx44tsQelsnTp0gVRUVFYuHAhVq1aJSx/8+aNEIgAwN27d5GQkID79+8LaZ4/f46EhAThB2tycjISEhKQkZEhpMnIyEBCQgJu374NAMKNkdIm/QMKRxSYmpri0aNHH32Mipy7YcOGCc8EBwUFIS0tDVevXsWECRNw4MABbNmyBVpaWrhw4QJ+/PFHbNmyRRievGHDBty8eVNUf/b29jh79qzoGdiwsDDs3r0bN27cwJ07d7Bnzx54e3tj6NChol5+ab2/efMGT58+FdWxVGxsLHr06FHh9uHu7o5u3brhiy++wE8//YQrV67gzp072L17Nzp16iS83kpRH1Mv0qB82rRp+Pbbb4XzI6+NBAUFoVOnTmjVqpXccpRWL7Vq1cKkSZNw7tw5JCYmom3btpg5c6bwdgGgcGhz0SBT3qfoUPdJkyZhypQpaN68OS5cuIDLly/D3d29zBEzZZkwYQJMTEyEXlJLS0vMnDkT48ePR2ZmJoDCUQHt27fHb7/9JuTLy8vDoEGDcOHCBYSFhSE/P1+oz6IznCtyXb59+xYXL15Enz59KnQMeXl5GDVqFL7++msMGjQIAPDVV19h8ODBcHV1RV5eXqW3Q0Wv4/Kyt7cX1TMAODg4YP369QgPD8fdu3dx/Phx+Pr6wtHRUbjhqsj3KFDYbitaz0RERPR5KVdUvXz5cvTs2ROOjo6wtbVF9+7dy5zQqaKaNm2KS5cuwcbGBjNmzECrVq1gZ2eH6OhomecNK0vr1q1haWmJ3bt3C8v27NmDp0+fIiwsDA0aNBA+HTt2FOXduXMnnJ2dhfc2y5Oamorbt2/D3t5etDw4OBgGBgbo1asXvvnmG4wfP77UiZ0qS7du3XDo0CH4+voiICAAAITXF0l7yzw8PGBhYSEMQQUKby5YWFgIE88NGzYMFhYWovdIb9iwARYWFhg3bhyAwtdAWVhYyDwXXtzbt2+RnJyM9+/ff/TxKXLuJBIJdu/eDR8fH6xatQqmpqbo0aMH7t27h1OnTuGrr75CTk4ORo0aBTc3N9GEhXp6eggMDMScOXOQnJwMAOjfvz9UVVVx4sQJIZ2Kigp+/PFHWFlZoU2bNpg/fz4mT56MLVu2iMorrfeLFy9ix44dsLCwQP/+/UVpdu7cKdRpRairq+P48eOYOXMmNm7ciM6dO6Njx44ICAjAtGnTSgx85fnYegkJCcHbt2+xdOlS0fkpOjwaKJyoa9++fSX2lgOK14upqSl++OEH3L9/H0uXLlX4WIvz9vbGw4cPsXLlStFcDx9j27ZtOH78OEJCQkQ3POfNm4eaNWti+vTpwrLx48eLZomXvif+4cOHaNeunag+//jjDyGdItdlZGQkGjduLHpevDz8/Pzw6NEjmXd4BwYG4vHjx/Dz86vUdggodh1XxLhx43D48GHhpggAzJkzBzNmzMCcOXPQsmVLjBkzBvb29qJJCxX5Hn306BH++OMPmVf/ERER0X+TpOBjHh6vBDExMbCxsZGZKElZDh8+DE9PTyQmJio8GuDp06cwNTXFhQsX0LRpU9G6ose3detWnDhxAocPH/4URRcJCQmBu7v7Jx0SXxn+LeUsj3Xr1iEyMhJHjx6t1O0eOnQIXl5euHr1aonP0/+TsV4qz7t372BiYoLw8PByjyAqi5WVFdzd3YX3dP/XDRkyBBYWFvD29q7U7Xp5eSEzMxObNm1SOM+rV69Qo0YNZGZmfpJh7auOV/6jaUREpJjpdsZlJ6J/JUX///4049AroFGjRsIr1ZSpf//+mDBhQrmGUt+9exfr1q2TCcrNzc3Rr18/4e9GjRpV+o+70khfCTRr1qy/bZ/loa2tXeZs2f9G48ePR8+ePSvlndZFZWVlITg4+F8bfLJeKk+1atWwbds2/PXXX5W63SdPnmDQoEH/iO/if4rly5eX+Wq1ipC+To6IiIgI+Af0mGdnZwtBsLa2ttwZk/+t7t27JwzJNjIy+mTP48vz+vVr/PnnnwCAmjVrlvqaOGWRPudatWpVmZsaREQkxh5zIqLPF3vMP1+K/v+t9C4mDQ2NMl9b829laGiotH1/zHuZ/y6f63knIiIiIiIqj3/MUHYiIiIiIiKi/yIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiVSUXQAiIiJSvul2xsouAhER0X8We8yJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJVJRdACIiIqJ/u1XHU5RdBCL6F5tuZ6zsIpCSsceciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREDMyJiIiIiIiIlIiBOf0jWFtbw93dXfi7SZMmWL16tcL5Y2JiIJFIIJFI8NVXX1V6+crr2bNn0NXVRVpamsJ5Dh48CAsLC3z48EG0vEmTJsKxvXz5slzlKF6PEokEv/zyi8L5Q0JChH1/zPmpqI85dmXx9fXF+PHjK3WbOTk5aNy4MS5evFip21WWoKAg9OnTp1x5Bg0ahJUrV36iEn2ckydPwtTUVObaLY2npyemTZv2CUtFRERE/yYMzOmzkpycjJCQENGyjIwMTJ06FUZGRlBXV4eBgQEcHBwQHR0tpCkp0Jw/fz7atWsnd1/h4eEl3ghYunQpHBwc0KRJEwDAlStX4OTkBAMDA2hoaMDMzAxr1qwR5fnyyy8hkUiwY8cO0fLz589j3759cssQEhKCzp07y11XWapXr47Hjx9j0aJFCueZP3++EFBLP3p6ejJpTE1NoaWlhVq1asHW1hbnzp0TpSnt2MuSm5uLZcuWoW3bttDU1ETdunXRrVs3BAcH4/3790K6Bw8eYMyYMWjYsCHU1NRgaGiI//3vf3j27BkAID8/H127dsW3334r2n5mZiYMDAwwZ84cYdmff/6JNWvWYPbs2cKypUuXomPHjtDR0YGuri6++uorJCcnl6su1NXV4enpiVmzZlWoLv4OQ4cORadOnZCfny8se//+Pdq3b48RI0YIy3JycjB37lz4+voKy5KSkvDtt98KN2LkXYtz587FkiVL8OrVq48q56tXr+Dj4wNTU1NUq1YNenp6sLW1RUREBAoKCkRlGjJkCOrVqwd1dXW0aNECvr6+ePv2rcw2Z86cCR8fH1SpUvhfqqurq0z7l0gkMDc3F+UJDg7G3bt3P+p4iIiI6PPAwJw+K7q6uqhZs6bwd1paGjp06ICTJ09i2bJluHbtGo4cOQIbGxtMnjy5wvu5d+8ePD090aNHD5l12dnZCAoKwtixY4VlFy9eRL169fDzzz8jKSkJPj4+8Pb2xtq1a0V53dzcEBgYKFpWr1491K5dW245Dhw4gIEDB1b4OBQhDap1dHTKlc/c3ByPHz8WPteuXROtNzY2xtq1a3Ht2jX89ttvaNKkCfr06YOnT58KaUo79tLk5ubC3t4eP/zwA8aPH48//vgD8fHxmDx5MgIDA5GUlAQAuHPnDiwtLZGSkoKdO3fi9u3b2LBhA6Kjo9GlSxc8f/4cVatWRWhoKI4cOYKwsDBhH1OnTkXt2rUxd+5cYVlQUBC6dOki3JABgNOnT2Py5MmIi4vD8ePHkZeXhz59+iArK6tcdeHs7IzY2FjcuHFD4XrIysoSbjBUxP379xVOu27dOty7dw8//PCDsGzRokXIyMgQtel9+/ZBW1tbdO28ffsWRkZG+OGHH2Ru4Ei1adMGTZo0EZ2D4kJCQmBtbV3i+pcvX6Jr167Ytm0bvL29cenSJZw5cwZDhw7FzJkzkZmZCQCIi4tDp06dkJubi0OHDiElJQV+fn4IDQ2FnZ0dcnNzhW3+8ccfuHXrFgYPHiwsW7NmjajtP3jwALVr1xal0dXVRZ8+fbBhw4YSy0tERET/HQzM6W+XlZUFFxcXaGtro0GDBvD39y8zj0QiwZYtW/D1119DU1MTLVq0wIEDB8rMN2nSJEgkEsTHx2PQoEEwNjaGubk5PDw8EBcXV6Hy5+fnw9nZGQsWLICRkZHM+qioKKioqKBLly7CstGjRyMgIAC9evWCkZERRowYATc3N0RERIjyOjo6Ij4+Hnfu3CmzHO/evcOxY8fg6OgIAHjy5AkcHBygoaGBpk2blhrAAIU3LSQSCSIiImBjYwNNTU20bdsWZ8+eVaQaRIKDg1GjRg0cP35cWKaiogI9PT3hU69ePVGe4cOHw9bWFkZGRjA3N8fKlSvx6tUrXL16tdz7L2716tU4c+YMoqOjMXnyZLRr1w5GRkYYPnw4zp07hxYtWgAAJk+eDDU1NRw7dgy9evVC48aN0a9fP5w4cQKPHj2Cj48PAKBFixZYunQppk6divT0dERGRiI8PByhoaFQU1MT9hseHi6cD6kjR47A1dUV5ubmaNu2LYKDg3H//n3RsHRF6qJOnTro2rUrdu7cWeqxFxQU4PTp0xg9ejT09PTw22+/VbgemzZtCltbW2zfvl10I0GeOnXqYNOmTVi4cCGuXr2KixcvYunSpdiyZQtq1aolpJNXRx07dsTy5csxbNgwqKurl7gPR0fHMo+/NLNnz0ZaWhrOnTuHUaNGoWXLljA2Nsa4ceOQkJAAbW1tFBQUYMyYMTAzM0NERASsrKxgaGiIwYMH49dff8XZs2exatUq0fH06dMH1apVE5bVqFFD1PYvXLiAFy9ewM3NrVKPh4iIiD4fDMzpb+fl5YVTp05h//79OHbsGGJiYhR6dnbBggUYMmQIrl69iv79+8PZ2RnPnz8vMf3z589x5MgRTJ48GVpaWjLri/asl8fChQtRr149jBkzRu76M2fOwNLSssztZGZmyvQGGxoaQldXF7GxsWXmj46Ohp6enjA81tXVFWlpaTh58iT27t2LdevW4cmTJ2Vux8fHB56enkhISICxsTGcnJyQl5dXZj6pFStWwNPTE0ePHoWdnZ2w/NatW2jYsCGaNm2KYcOGlXqzITc3F5s2bUKNGjXQtm3bUvcnvaEQExNTYpqwsDDY2trCwsJCZp2qqiq0tLTw/PlzHD16FJMmTYKGhoYojZ6eHpydnbFr1y5hePPUqVPRtm1buLi4YPz48Zg7d67oMYcXL14gMTGxzHMv7ZUtaSRAaXVhZWVVYtu4c+cO5s+fj2bNmmHAgAHIy8tDREQEHBwchDT9+vWDtrZ2qZ+irl+/jk6dOmHOnDnQ09PD6NGjcfr0adGQ76IcHR0xbNgwuLi4wMXFBaNGjUL//v1FaWJjYxW6PuSxsrJCfHw8cnJyyp33w4cPCA8Ph7OzMxo2bCizXltbGyoqKkhISMD169fh4eEhDE2Xatu2LWxtbUXBtCLXe1BQEGxtbWFoaChzPA8ePMC9e/fKfTxERET0eVFRdgHov+XNmzcICgrCtm3bhCAuNDQUjRo1KjOvq6srnJycAAB+fn4IDAxEfHw8+vbtKzf97du3UVBQAFNTU4XKNmvWLNHzwkBhkNSyZUvh799//x1BQUFISEgocTtpaWlyf/gXdfbsWezevRuHDh2SWaevr6/QpHGRkZHCMPaUlBRERUUJQ3CBwmDAzMyszO14enpiwIABAApvfpibm+P27dsK1Zu3tzdCQ0MRExOD1q1bC8s7deqEbdu2wdjYGH/++ScWL16Mrl27IikpCXXq1BHSHTx4EMOGDcPbt2/RoEEDHD9+HHXr1i11n6qqqjAxMYGmpmaJaW7dulXqkGZpmoKCghLryMzMDC9evMDTp0+hq6sLiUSC9evXw8zMDK1bt8b3338vSn/v3j0UFBSUeu4LCgrg4eGB7t27o1WrVqJ1itRF8bbx5s0b7Nq1C6Ghofjjjz9gY2OD+fPn49tvv5V7M2rLli3Izs4utV6KMjExwZIlS7B48WLExMRg27ZtcHBwQN26dYXAu2nTpqI8a9asQcOGDVG9enWZydpevnyJly9flnl9lERfXx85OTnIyMiQCXLL8tdff+HFixdltuuUlBQAKLVdFB2FUNb1/vjxY0RFRcnMHQEUHo90G/KOJycnR3QT4mOfryciIqJ/Lgbm9LdKTU1Fbm6uaJh37dq1YWJiUmbeNm3aCP/W0tKCjo5OqT3C0l49iUSiUNm8vLzg6uoqWhYQEIAzZ84AAF6/fo0RI0Zg8+bNpQaP2dnZomGtxSUlJWHgwIGYO3euqIdZSkNDQ+4EU0UVFBTg119/RXh4OADgxo0bUFFREfXcmZqaKjQqoGi9NmjQAEDhsPiyAhh/f39kZWXhwoULMkP6+/XrJ/y7devW6NKlC5o1a4bQ0FB4eHgI62xsbJCQkIC//voLmzdvxpAhQ3Du3Dno6uqWuF99fX3cvHmz1LIVFBQofN5L2wYgbj9bt26FpqYm7t69i4cPH4qeJZcGvKWd+ylTpuDq1atyh5crUhfF28bevXsxduxYtGrVCleuXBFNLiaPNBAsL4lEAhsbG9jY2GDNmjWYOHEiFixYgISEBJlZ/nfs2AGJRIK//voLN2/ehJWVlbBOkToqjXRkg7QO7t+/L7pxlpeXh/fv34t6/keMGIENGzaU+/ugJMXbVlnXe0hICGrWrCl3ksjix1Pc0qVLsWDBgo8qLxEREf07cCg7/a1KGgKrCFVVVdHfEomk1NcTtWjRAhKJROHJsurWrYvmzZuLPkWHG6empiItLQ0ODg5QUVGBiooKtm3bhgMHDkBFRQWpqanCdl68eCF3H9evX0fv3r0xbtw4md55qefPn8s8j11cfHw8cnNz0b17dwDlvwlRVNF6leZX5LVPPXr0QH5+Pnbv3l1mWi0tLbRu3Rq3bt2SWd68eXN07twZQUFBUFFRQVBQUDmPQJaxsXGZ57158+aQSCS4fv263PU3b95ErVq1hJsw0meLIyMj0aVLF4wZM0bUnqXpSjr3U6dOxYEDB3Dq1Cm5I0QUqYvibWPgwIFYtWoVVFRU0KFDBwwePBgHDhwQzTpfVHmHshd16dIlTJ8+HS1atEB0dDQ8PDywdOlSUZo7d+5g5syZWLt2LVxdXeHq6irq8a1Tpw4kEkmJdVQW6aMr0jpo2LAhEhIShM/ChQthaWkps0yap1atWmW2C2NjYwAotV1I5ygASr/eCwoKsHXrVowcOVI0F0FJx1Oct7c3MjMzhc+DBw9KLTsRERH9ezEwp79V8+bNoaqqKpp47cWLF8Lw0cpUu3Zt2Nvb46effpI7cVV534ttamqKa9euiX70Ozo6Cj2dBgYGAAALCwu5P+qTkpJgY2ODUaNGYcmSJXL38e7dO6Smpsp9NrqoyMhIDBgwAFWrVgVQOLw2Ly8PFy5cENIkJyd/0nd/W1lZ4ciRI/Dz88Py5ctLTZuTk4MbN24IPfIlKSgoqNDzw8UNHz4cJ06cwOXLl2XW5eXlISsrC3Xq1IGdnR3WrVsnM7w7IyMDYWFhGDp0KCQSCbKzszFq1ChMmDABtra22LJlC86fP4+NGzcKeZo1a4bq1avLnPuCggJMmTIFEREROHnypMzQ75LIq4vExERR26hVqxbc3d1x+fJlxMfHo3Hjxhg/fjwaNGiAKVOmyLx+bsuWLaL2K+9T1MOHD/Hjjz/C3NwcXbt2xcOHDxEUFISHDx/C399fNNz7w4cPcHNzg7W1Ndzc3LBy5Uq8efMG8+bNE9KoqamhZcuWJQa9ZUlMTESjRo2EmyAqKiqiG2m6urrQ0NCQWQYAVapUwdChQxEWFob09HSZbWdlZSEvLw/t2rWDqakpVq1aJXOD6sqVKzhx4oTwSA1Q8vUOFM7If/v27RLno0hMTISqqmqJIx3U1dVRvXp10YeIiIg+TwzM6W+lra2NMWPGwMvLC9HR0UhMTISrq6vMJEuVZd26dcjPz4eVlRX27duHW7du4caNGwgICBANp1dEtWrV0KpVK9GnZs2a0NHRQatWrYQeMXt7eyQlJYl60aRBuZ2dHTw8PJCRkYGMjAzR67CAwtc0qaurl1m24q9JMzExQd++fTFu3DicO3cOFy9exNixY2UmNatsXbp0QVRUFBYuXCiaqdrT0xOnT5/G3bt3ce7cOQwaNAivXr3CqFGjABQGQbNnz0ZcXBzu3buHS5cuYezYsXj48KHolVLyPHr0CKampoiPjy8xjbu7O7p164YvvvgCP/30E65cuYI7d+5g9+7d6NSpk9Bzv3btWuTk5MDe3h5nzpzBgwcPcOTIEdjZ2UFfX1+4gfL999/jw4cP+PHHHwEAjRs3hr+/P7y8vIRnvqtUqQJbW1uZYeqTJ0/Gzz//jB07dkBHR0c499KbAeWpi9jYWPTp00fuMbdp0wb+/v54+PAhQkJC8Oeff6JXr1749ddfhTT6+voyo0KKf4oyNDREREQEJk+ejMePH2PPnj348ssvoaIi+xTUmjVrcO3aNWzevBkAUL16dWzZsgX+/v6ic2Vvby9TR7m5ucKNgdzcXDx69AgJCQm4ffu2wsevCD8/PxgYGAhzIFy/fh23bt3C1q1b0a5dO7x580Z4A8T169fx7bffIj4+Hvfv38eePXvg4OCALl26wN3dvdTjkQoKCkKnTp1k5hMoejw9evT45NcpERER/fMxMKe/3fLly9GzZ084OjrC1tYW3bt3R4cOHT7Jvpo2bYpLly7BxsYGM2bMQKtWrWBnZ4fo6GisX7/+k+yzdevWsLS0FA3x3rNnD54+fYqwsDA0aNBA+HTs2FGUd+fOnXB2di51YrPU1FTcvn0b9vb2ouXBwcEwMDBAr1698M0332D8+PGlPqtdWbp164ZDhw7B19cXAQEBAAp7Wp2cnGBiYoJvvvkGampqiIuLEya4qlq1Km7evIlvv/0WxsbG+PLLL/H06VPExsaW+Zz0+/fvkZycXOpz+Orq6jh+/DhmzpyJjRs3onPnzujYsSMCAgIwbdo0IVBq0aIFLly4gGbNmmHo0KFo1qwZxo8fDxsbG5w9exa1a9fG6dOn8dNPPyEkJEQ0odq4cePQtWtX0ZD28ePHIzw8XNTTun79emRmZsLa2lp07nft2lWuujh79iwyMzMxaNCgUutHRUUFX375Jfbs2YP09HRhMsCKSEpKwrlz5zBp0iTRK8+KS0lJgY+PD9auXSsaFdGnTx+4ubmJhrSPGzcOhw8fFmanB4D09HRYWFjAwsICjx8/xooVK2BhYYGxY8cKad69e4f9+/dj3LhxFT6eWrVqIS4uDiNGjMDixYthYWGBHj16YOfOnVi+fDlq1KgBoLBNx8XFoWrVqujfvz+aN28Ob29vjBo1CsePHxe90m3EiBG4fv06kpOTRfvKzMzEvn37SuwtBwqv9485HiIiIvp8SAo+5qFfon+ImJgY2NjY4MWLFxV+DVplOnz4MDw9PZGYmKjwaICnT5/C1NQUFy5ckBnuXPT4tm7dihMnTuDw4cOfougiISEhcHd3/6RD4svyTzu3pSkoKEDnzp3h7u4uGu5cGQYPHgwLCwvMnj27UrerDEOGDIGFhQW8vb0VzvPTTz8hMjISx44d+4Qlq5iZM2ciMzNT9GhDWQ4dOgQvLy9cvXpV7ggEeV69eoUaNWogMzOTw9r/gVYdr/xHsojov2O6nbGyi0CfiKL/f7PHnD4rjRo1qvSAqCL69++PCRMm4NGjRwrnuXv3LtatWycTlJubm4tmOW/UqFG5ApqPlZmZCW1tbcyaNetv26dU8WP/p5NIJNi0aVO53gOviJycHLRt2xbTp0+v1O0qy/Lly0udaE4eVVVVBAYGfqISfRwfHx8YGhoiPz9f4TxZWVkIDg5WOCgnIiKizxt7zOmzkJ2dLQTB2tra0NPTU3KJKs+9e/eEWbaNjIw+2fP48rx+/Rp//vknAKBmzZplvmO8sinz2In+adhj/s/GHnMi+hjsMf98Kfr/N2/V02dBOhPz50j6XLYy6OjoQEdHR2n7V+axExERERH9Xdj9RERERERERKREDMyJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRKpKLsARERERP920+2MlV0EIiL6F2OPOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKZGKsgtARERERETls+p4irKLQJVoup2xsotASsYecyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREDMyJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuYKsLa2hru7u/B3kyZNsHr1aoXzx8TEQCKRQCKR4Kuvvqr08pXXs2fPoKuri7S0NIXzHDx4EBYWFvjw4YNoeZMmTYRje/nyZbnKUbweJRIJfvnlF4Xzh4SECPv+mPNTUR9z7Io6efIkTE1NZeq9NJ6enpg2bdonKc8/RUXasCLWrl0LR0fHSt3mv4Gvry/Gjx9fqdvMyclB48aNcfHixUrd7t8tKCgIffr0qfTtduzYEREREZW+XSIiIvp3YmD+N0pOTkZISIhoWUZGBqZOnQojIyOoq6vDwMAADg4OiI6OFtKUFGjOnz8f7dq1k7uv8PDwEm8ELF26FA4ODmjSpAkA4MqVK3BycoKBgQE0NDRgZmaGNWvWiPJ8+eWXkEgk2LFjh2j5+fPnsW/fPrllCAkJQefOneWuqyzVq1fH48ePsWjRonLle/ToEUaMGIE6depAU1MT7dq1EwUQERERsLe3R926dSGRSJCQkCCzjdKOvTQzZ85EkyZN8Pr1a9FyBwcH9OzZUxSEz5w5Ez4+PqhSpfBSffz4MYYPHw4TExNUqVJFdEOiaJ7g4GDcvXu33GWTCgkJQc2aNeWuK3oDJS0tDWPGjEHTpk2hoaGBZs2aYd68ecjNzZXJFxoaCisrK2hpaUFHRwc9e/bEwYMHhfWHDx+GmpoaLl26JMq3YsUK1K1bFxkZGcKy4m342bNn6Nu3Lxo2bChcR1OmTMGrV6+EPO/evYOrqytat24NFRUVudfGuHHjcP78efz2228K1tTfr6QbWK6ursIx5efno2vXrvj2229FaTIzM2FgYIA5c+YIy/7880+sWbMGs2fPFpYtXboUHTt2hI6ODnR1dfHVV18hOTlZtK2yrhF1dXV4enpi1qxZH3fAAJKSkjBkyBDUq1cP6urqaNGiBXx9ffH27VtROkW/K4cOHYpOnTohPz9fWPb+/Xu0b98eI0aMEJbl5ORg7ty58PX1FZZFRETA0tISNWvWhJaWFtq1a4ft27fL7HPdunVo2rQpqlWrhg4dOiA2Nla03tfXF99//325broRERHR54uB+d9IV1dXFOykpaWhQ4cOOHnyJJYtW4Zr167hyJEjsLGxweTJkyu8n3v37sHT0xM9evSQWZednY2goCCMHTtWWHbx4kXUq1cPP//8M5KSkuDj4wNvb2+sXbtWlNfNzQ2BgYGiZfXq1UPt2rXlluPAgQMYOHBghY9DERKJBHp6etDR0VE4z4sXL9CtWzeoqqoiKioK169fh7+/v+jcZGVloVu3bvjhhx9K3E5px16aRYsWQVtbGx4eHsKyrVu34tSpUwgODhaC8D/++AO3bt3C4MGDhXQ5OTmoV68efHx80LZtW7nb19XVRZ8+fbBhw4YSyxATEyMEtR/j5s2b+PDhAzZu3IikpCSsWrUKGzZsEAV5QGEv/oQJEzBkyBBcuXIF8fHx6NGjBwYOHCi0s/79+8PFxQUuLi7IyckBANy4cQO+vr746aefoKenB0B+G65SpQoGDhyIAwcOICUlBSEhIThx4gS+++47IU1+fj40NDQwbdo02Nrayj0edXV1DB8+XKadl+X+/fvlSl9Ueno68vLyKpxfnqpVqyI0NBRHjhxBWFiYsHzq1KmoXbs25s6dKywLCgpCly5dRO3h9OnTmDx5MuLi4nD8+HHk5eWhT58+yMrKEtIoco04OzsjNjYWN27cKDGNq6sr5s+fX+L6uLg4dOrUCbm5uTh06BBSUlLg5+eH0NBQ2NnZyb0JVJZ169bh3r17orIvWrQIGRkZonO/b98+aGtri75La9euDR8fH5w9exZXr16Fm5sb3NzccPToUSHNrl274O7uDh8fH1y+fBk9evRAv379RO1kwIAByMzMFOUjIiKi/y4G5sVkZWXBxcUF2traaNCgAfz9/cvMI5FIsGXLFnz99dfQ1NREixYtcODAgTLzTZo0CRKJBPHx8Rg0aBCMjY1hbm4ODw8PxMXFVaj8+fn5cHZ2xoIFC2BkZCSzPioqCioqKujSpYuwbPTo0QgICECvXr1gZGSEESNGwM3NTWaYpaOjI+Lj43Hnzp0yy/Hu3TscO3ZMGBb85MkTODg4QENDA02bNhUFC/KkpaVBIpEgIiICNjY20NTURNu2bXH27FlFqkEkODgYNWrUwPHjxwEAP/74IwwMDBAcHAwrKys0adIEX3zxBZo1aybkGTlyJObOnVtiAPcx1NXVERoaKgRO9+/fx/Tp07Fs2TJRGcLDw9GnTx9Uq1ZNWNakSROsWbMGLi4uqFGjRon7cHR0xM6dOyu97MX17dsXwcHB6NOnD4yMjODo6AhPT09R24mLi4O/vz+WL18OT09PNG/eHGZmZliyZAnc3d3h4eGBBw8eAABWrVqFN2/eYN68ecjLy4OLiwscHBwwdOhQYXvy2nCtWrUwceJEWFpawtDQEF988QUmTZok6qXU0tLC+vXrMW7cOCHIl8fR0RG//PILsrOzSz32p0+fYs2aNWjfvv1H3YDavHkzGjVqhBkzZuDatWsV3k5xLVq0wNKlSzF16lSkp6cjMjIS4eHhCA0NhZqampAuPDxcZvj+kSNH4OrqCnNzc7Rt2xbBwcG4f/++aFSJItdInTp10LVr1wq3xYKCAowZMwZmZmaIiIiAlZUVDA0NMXjwYPz66684e/YsVq1aVe7t1qlTB5s2bcLChQtx9epVXLx4EUuXLsWWLVtQq1YtIZ28urG2tsbXX38NMzMzNGvWDP/73//Qpk0b0SiLlStXYsyYMRg7dizMzMywevVqGBgYYP369UKaqlWron///n/LdUpERET/fAzMi/Hy8sKpU6ewf/9+HDt2DDExMQo9I7lgwQIMGTIEV69eRf/+/eHs7Iznz5+XmP758+c4cuQIJk+eDC0tLZn1JQ0jLsvChQtRr149jBkzRu76M2fOwNLSssztZGZmyvQGGxoaQldXV2ZIpjzR0dHQ09ODubk5gMJesbS0NJw8eRJ79+7FunXr8OTJkzK34+PjA09PTyQkJMDY2BhOTk7l6l1csWIFPD09cfToUdjZ2QEo7Mm3tLTE4MGDoaurCwsLC2zevFnhbZZGekMhJiam1HQdOnSAt7c3xo4di5EjR6Jjx46YOHGiKI2i50oeKysrPHjwAPfu3atQ/o9RvO3s3LkT2tramDBhgkzaGTNm4P3798IjATo6Oti6dSv8/f3h7OyMBw8eYN26daI8itRLeno6IiIi0KtXr3KX39LSEu/fv0d8fLzMutzcXOzfvx9fffUV9PX1sXXrVjg7O+Pw4cNCmtjYWGhra5f68fPzE9LPmjULAQEBSE5ORvv27dG+fXusWbMGT58+LXfZi5s6dSratm0LFxcXjB8/HnPnzhUN6X7x4gUSExPLrM/MzEwAqNAIESsrK4W+M+RJSEjA9evX4eHhIYwkkWrbti1sbW0rHNg6Ojpi2LBhwiiNUaNGoX///qI0sbGxpdZNQUEBoqOjkZycjJ49ewIobCMXL16UeS69T58++OOPP0TLPqZuiIiI6POiouwC/JO8efMGQUFB2LZtmxDEhYaGolGjRmXmdXV1hZOTEwDAz88PgYGBiI+PR9++feWmv337NgoKCmBqaqpQ2WbNmiV6LhQo/AHYsmVL4e/ff/8dQUFBcp+HlkpLS0PDhg1L3dfZs2exe/duHDp0SGadvr6+QhNuRUZGCr2IKSkpiIqKEoakAoXDZ83MzMrcjqenJwYMGACg8OaHubk5bt++rVC9eXt7IzQ0FDExMWjdurWw/M6dO1i/fj08PDwwe/ZsxMfHY9q0aVBXV4eLi0uZ2y2NqqoqTExMoKmpWWbaOXPmIDg4GOfOnUNKSgokEolovSLnqiT6+vrCNgwNDSu0jczMTGhra5crT2pqKgIDA0UjTVJSUtCsWTNRL61Uw4YNUaNGDaSkpAjLevfujUGDBiE8PBy7du1C3bp1RXlKqxcnJydERkYiOzsbDg4O2LJlS7nKDxT2rNesWRNpaWlCYH/p0iWEhIRgx44dUFNTg5OTEy5cuIA2bdrI5Le0tCz1GgTEAW61atUwZMgQDBkyBE+ePMGOHTsQGhoKLy8v9O/fH6NGjYKDgwNUVP7/69rJyQlVq1YVbTMnJ0e4VqQkEgnWr18PMzMztG7dGt9//71o/b1791BQUFBqOysoKICHhwe6d++OVq1alXpc8ij6nSGPtF2U9F1hZmYmMx+AIt+VUmvWrEHDhg1RvXp1rFy5UrTu5cuXePnypdy6yczMhL6+PnJyclC1alWsW7dO+D/jr7/+Qn5+PurXry/KU79+fdE8CUBh3dy/fx8fPnyQufEAFJ5T6WMdAERzJhAREdHnhYF5EampqcjNzRUNka1duzZMTEzKzFv0B7p0cqvSeoQLCgoAQCYYK4mXlxdcXV1FywICAnDmzBkAwOvXrzFixAhs3rxZJpApKjs7WzQ0urikpCQMHDgQc+fOFX5oFqWhoSEz4VJxBQUF+PXXXxEeHg6g8DlhFRUVUc+TqampQqMCitZrgwYNABQOiy8rMPf390dWVhYuXLggM6T/w4cPsLS0FHotLSwskJSUhPXr1390YK6vr4+bN28qlPb48eN4/PgxqlSpgvPnz6Nx48ai9WWdq9JoaGgAgOhcFQ2y8/PzkZOTI1rWo0cPREVFCX/r6OjITMQGFA6Rlic9PR19+/bF4MGDRc9/l6WgoEB0HaSnp+PIkSPQ1NREbGwshgwZIkpfWr2sWrUK8+bNQ3JyMmbPng0PDw+ZHndFFG/n33zzDR4+fAhfX1/MmTNHJigunrd58+bl3idQOD+Au7s73N3dERUVBVdXV0RGRuLy5cuinu5Vq1bJDCGfNWuWaDIzqa1bt0JTUxN3797Fw4cPRc+SS4frl9bOpkyZgqtXr1Z4QrzidRkWFiYaPZGTkwOJRIIVK1YIyzZu3AhnZ+cyt1287QBlf1cWtWPHDkgkEvz111+4efMmrKyshHWl1Y2Ojg4SEhLw5s0bREdHw8PDA0ZGRrC2thbSFC+XvLJqaGjgw4cPyMnJEa7ZopYuXYoFCxbIP3giIiL6rDAwL0IaLFeEqqqq6G+JRFLqbLstWrSARCLBjRs3FHqFWt26dWV+7BftdUtNTUVaWhocHByEZdL9q6ioIDk5Gc2aNUPdunXx4sULufu4fv06evfujXHjxsn0OEk9f/4c9erVK7Ws8fHxyM3NRffu3QGU/yZEUUXrVZpfkVmMe/TogUOHDmH37t0yvYQNGjSQ6T0zMzOr0AzrFfXixQuMGzcOs2fPhqqqKiZNmoRevXqJbqqUdq7KIn2Moui5KtqLe+7cOcyaNUs05L54YFClShWFA8z09HTY2NigS5cu2LRpk2idsbExfvvtN+Tm5sr0mqenp+PVq1eiYH/s2LFo27YtFixYgC+++AKDBg0SDUkvrV709PSgp6cHU1NT1KlTBz169ICvr69wU0dRxdv59u3bsXXrVqxYsQJhYWEYOXIkRowYgaZNm8rkjY2NRb9+/Urd/uzZs2UmyAMKb7Dt3bsX27dvx5kzZ9CrVy+MGjVKpr3q6enJnBsdHR2Z1/ZJn8GOiorCsmXLMGbMGJw4cUK4lqTt7cWLF3Kv66lTp+LAgQM4c+aMQiOH5Clel46OjsLIGaDwhoK+vr7oFX/S3mZjY2MAhd9N8t5AcfPmTZkbRWV9V0rduXMHM2fOxNq1a/H777/D1dUVly9fhrq6OoDC59AlEonctlb02mjXrh1u3LiBpUuXwtraGnXr1kXVqlVlesefPHki04v+/PlzaGpqyg3KgcJRP0UniXz16hUMDAzkpiUiIqJ/Nz5jXkTz5s2hqqoqmnjtxYsXomG2laV27dqwt7fHTz/9JJrpWKq878U2NTXFtWvXkJCQIHwcHR1hY2ODhIQE4cechYUFrl+/LpM/KSkJNjY2GDVqFJYsWSJ3H+/evUNqaiosLCxKLUtkZCQGDBgg9CqamZkhLy8PFy5cENIkJyd/snd/A4XPbh45cgR+fn5Yvny5aF23bt1kXv2UkpJS4SHfFTF16lTo6upizpw5+P7774XXexVV0rlSRGJiIlRVVYVn/IHC9i396OvrQ0VFRWZZRTx69AjW1tZo3769aFZ5qWHDhuHNmzfYuHGjTN4VK1ZAVVVVeK3Xli1bEBsbi+DgYPTq1QtTpkzB6NGjRdeIovUivSFUdCiwIlJTU/Hu3TtRO+/RoweCg4ORkZGBOXPmICYmBi1atEDPnj2xefNmUVuWDmUv7VN8tvioqCgMHz4c9evXx9KlS9G7d2/cuXMH0dHRcHFxkfsYQFmys7MxatQoTJgwAba2ttiyZQvOnz8vOg/NmjVD9erVZeqzoKAAU6ZMQUREBE6ePCn3BoSiEhMTRXWpo6Mjanc6OjqoXbu2zDKgMOg1NTXFqlWrZG7IXblyBSdOnBAeISqPDx8+wM3NDdbW1nBzc8PKlSuFSQel1NTU0LJlS4XbmrSdqampoUOHDsJkk1LHjx9H165dRcsSExPRvn37Ererrq6O6tWriz5ERET0eWJgXoS2tjbGjBkDLy8vREdHIzExEa6urnKf/asM69atQ35+PqysrLBv3z7cunULN27cQEBAgGg4vSKqVauGVq1aiT41a9aEjo4OWrVqJfywt7e3R1JSkqgXSBqU29nZwcPDAxkZGcjIyJCZfCouLg7q6upllq34a9JMTEzQt29fjBs3DufOncPFixcxduzYEnuJKkuXLl0QFRWFhQsXimZunj59OuLi4uDn54fbt29jx44d2LRpk+gVdc+fPxcmngIKbyQkJCTI9IIV9+jRI5iamsqdOExq//792LNnD0JDQ6GqqgoVFRWEhIRg//79ol57e3t7ucOHpcHdmzdv8PTpU1E5pWJjY9GjR49PXsfp6emwtraGgYEBVqxYgadPnwrtR6pLly743//+By8vL/j7+yM1NRU3b97EnDlzsGbNGvj7+8PAwAD379/HjBkzsGLFCiEQ9PPzQ5UqVUSjHuS14cOHDyM4OBiJiYlIS0vD4cOHMXHiRHTr1k00dPv69etISEjA8+fPkZmZKdRlUbGxsTAyMhLNkC+lpaUFFxcXREdH486dO+jTpw+WL1+OL774QkgjHcpe2qdoD66fnx+cnJygra2NEydOICUlBXPmzJF5tKG8pO/I/vHHHwEAjRs3hr+/P7y8vIRnvqtUqQJbW1uZdjZ58mT8/PPP2LFjB3R0dIRzWnSmekWvkdjYWJmJ0BQlfePF9evX8e233yI+Ph7379/Hnj174ODggC5dusDd3b3c212zZg2uXbsmTPpYvXp1bNmyBf7+/qJrV941uHTpUhw/fhx37tzBzZs3sXLlSmzbtk30/nMPDw9s2bIFW7duxY0bNzB9+nTcv39fdEMG+Li6ISIios8LA/Nili9fjp49e8LR0RG2trbo3r07OnTo8En21bRpU1y6dAk2NjaYMWMGWrVqBTs7O0RHR4teq1OZWrduDUtLS+zevVtYtmfPHjx9+hRhYWFo0KCB8OnYsaMo786dO+Hs7FzqxGapqam4ffs27O3tRcuDg4NhYGCAXr164ZtvvsH48eOhq6tbuQcnR7du3XDo0CH4+voiICAAANCxY0fs378fO3fuRKtWrbBo0SKsXr1a9EzrgQMHYGFhIUymNWzYMFhYWJT6bnAAeP/+PZKTk0t8Dv+vv/7Cd999h3nz5omen2/VqhXmzZuHSZMm4a+//gIAjBgxAtevX5fp3bewsICFhQUuXryIHTt2wMLCQmY26Z07d2LcuHEK1lLFHTt2DLdv38bJkyfRqFEjUfspavXq1Vi3bh3Cw8PRunVrdOjQAadPn8Yvv/yCqVOnoqCgAKNHj0bnzp1Fzx9ramoiODgY69evx+nTpwHIb8MaGhrYvHkzunfvDjMzM7i7u+PLL7/EwYMHReXo378/LCws8OuvvyImJkaoy6IUrbvGjRtjzpw5SElJKfP1f6UZOXIkMjIysGnTJpke1Yo6ffo0fvrpJ4SEhIje+jBu3Dh07doVY8aMEUYUjB8/HuHh4aIe6fXr1yMzMxPW1taic7pr1y4hjSLXyNmzZ5GZmYlBgwZV+Fi6deuGuLg44fVizZs3h7e3N0aNGoXjx48LQ88VlZKSAh8fH6xdu1bUTvv06QM3Nze4uroKvd/jxo3D4cOHhVnpgcJXak6aNAnm5ubo2rUr9u7di59//lk0r8LQoUOxevVqLFy4EO3atcOZM2dw+PBh0aicR48e4Y8//oCbm1tFq4aIiIg+I5KCj3mwmhQSExMDGxsbvHjxosKvQatMhw8fhqenJxITExUeDfD06VOYmpriwoULMsNaix7f1q1bceLECdHroz6VkJAQuLu7f9Ih8WX51Od25syZyMzMlDsMvCSHDh2Cl5cXrl69KprJ+3NSkTasiMTERHzxxRdISUkp9T3xn5OCggJ07twZ7u7uFRoWXprBgwfDwsJC7vP0/xZDhgyBhYUFvL29K3W7Xl5eyMzMlJmToTSvXr1CjRo1kJmZyWHtRIRVxyv/UUtSnul2xsouAn0iiv7/zR7zv1GjRo0q/YdvRfTv3x8TJkzAo0ePFM5z9+5drFu3TiYoNzc3F0101ahRo0r/AVsa6Su9Zs2a9bftU6r4sX8KPj4+MDQ0lDvbdkmysrIQHBz82QblQMXasCLS09Oxbdu2/0xQDhQOF9+0aRPy8vIqdbs5OTlo27Ytpk+fXqnb/bstX7683K8NVISuri4WLVpU6dslIiKifyf2mP8NsrOzhQBCW1sbenp6Si5R5bl37x7ev38PADAyMvpkz+PL8/r1a/z5558AgJo1a5b6mrhPQZnHTkT/PewxJ6Ki2GP+eWGP+edL0f+/P98utX+Qj3mv8T/d3zmTeXE6OjrC7M3KoMxjJyIiIiKizwe7+IiIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREDMyJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiFWUXgIiIiIiIyme6nbGyi0BElYg95kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQqyi4AERERERHRf9mq4ynKLsJ/3nQ7Y6Xunz3mRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREDMyJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpET/ysDc2toa7u7uwt9NmjTB6tWrFc4fExMDiUQCiUSCr776qtLLV17Pnj2Drq4u0tLSFM5z8OBBWFhY4MOHD6LlTZo0EY7t5cuX5SpH8XqUSCT45ZdfFM4fEhIi7Ptjzk9FfcyxK1NFzr8i1q5dC0dHx0rd5t+J9VJ5cnNz0bx5c/z++++Vut2Svoc+J2yHRERE9Hf4VwbmlSU5ORkhISGiZRkZGZg6dSqMjIygrq4OAwMDODg4IDo6WkhTUqA5f/58tGvXTu6+wsPDS7wRsHTpUjg4OKBJkyYAgCtXrsDJyQkGBgbQ0NCAmZkZ1qxZI8rz5ZdfQiKRYMeOHaLl58+fx759++SWISQkBJ07d5a7rrJUr14djx8/xqJFixTOk5eXhzlz5qBp06bQ0NCAkZERFi5cKPNj/8aNG3B0dESNGjWgo6ODzp074/79+8L60o69LNnZ2Zg3bx5MTEygrq6OunXrYtCgQUhKShKlK+kcp6WlQSKRICEhAQBw+PBhqKmp4dKlS6J0K1asQN26dZGRkSEsK37+nz17hr59+6Jhw4ZCG5wyZQpevXol2ta1a9fQq1cvaGhoQF9fHwsXLkRBQYGwfty4cTh//jx+++23CtWJVEFBATZt2oROnTpBW1sbNWvWhKWlJVavXo23b9/+bfWiyHUxf/584eZM0Y+Wllal18undvDgQVhbW0NHRweampro2LGj6PvqypUrUFdXx4EDB0T59u3bh2rVqiExMVFYtmnTJhgaGqJbt24ACs/LmDFjhGuuWbNmmDdvHnJzc+WW5dmzZ2jUqJHMTa+SvocqYt++fbC2tkaNGjWgra2NNm3aYOHChXj+/DmAwu+vmjVrys1b9CaiIsf2qduhtN0X/xw5ckRI829ph0RERPT3+E8H5rq6uqIfemlpaejQoQNOnjyJZcuW4dq1azhy5AhsbGwwefLkCu/n3r178PT0RI8ePWTWZWdnIygoCGPHjhWWXbx4EfXq1cPPP/+MpKQk+Pj4wNvbG2vXrhXldXNzQ2BgoGhZvXr1ULt2bbnlOHDgAAYOHFjh41CERCKBnp4edHR0FM7z448/YsOGDVi7di1u3LiBZcuWYfny5aJjS01NRffu3WFqaoqYmBhcuXIFvr6+qFatmpCmtGMvTU5ODmxtbbF161YsWrQIKSkpOHz4MPLz89GpUyfExcWVe5v9+/eHi4sLXFxckJOTA6DwxoKvry9++ukn6OnpAZB//qtUqYKBAwfiwIEDSElJQUhICE6cOIHvvvtOSPPq1SvY2dmhYcOGOH/+PAIDA7FixQqsXLlSSKOuro7hw4fLtJGipAFEaUaOHAl3d3cMHDgQp06dQkJCAnx9fREZGYljx479bfWiyHXh6emJx48fiz4tW7bE4MGDy1Uv8hS9CVRe6enpyMvLUzh9YGAgBg4ciK5du+LcuXO4evUqhg0bhu+++w6enp4AgLZt28LX1xfjx4/Hs2fPAABPnjzBd999hwULFqBVq1ai7RWty5s3b+LDhw/YuHEjkpKSsGrVKmzYsAGzZ8+WW54xY8agTZs2ctfJ+x4qTiKRlNrj7OPjg6FDh6Jjx46IiopCYmIi/P39ceXKFWzfvr3UbRenyLF96nYodeLECVFb7N27t7Cuou2QiIiIPk8qyi5AWbKysjBx4kRERERAR0dH+FFaGolEgs2bN+PQoUM4evQo9PX14e/vX+awwUmTJkEikSA+Pl7Uw2Zubo7Ro0dXqPz5+flwdnbGggULEBsbKzPEOioqCioqKujSpYuwrPi+jIyMcPbsWURERGDKlCnCckdHR0ybNg137tyBkZFRqeV49+4djh07JvRkP3nyBGPGjMGJEyegp6eHxYsXl5o/LS0NTZs2xb59+xAYGIhz586hRYsW2LBhg6jsiggODoa7uzv27t0LOzs7nD17FgMHDsSAAQMAFI5I2LlzJy5cuCDk8fHxQf/+/bFs2TJRvVSG1atX4+zZs7h8+TLatm0LADA0NMS+ffvQqVMnjBkzBomJiWUGsMWtWrUKrVu3xrx587B48WK4uLjAwcEBQ4cOFdLIO/+1atXCxIkThb8NDQ0xadIkLF++XFgWFhaGd+/eISQkBOrq6mjVqhVSUlKwcuVKeHh4CGV1dHREnz59kJ2dDQ0NjXLXze7duxEWFoZffvlFdFOnSZMmcHR0lOnFV0RF60WR60JbWxva2tpCmitXruD69evYsGGDKK+i9fL06VPs2LEDoaGhKCgowOXLl8t9vACwefNmrF+/Hs7OznB1dUXr1q1LTPvgwQPMmDED7u7u8PPzE5bPmDEDampqmDZtGgYPHoxOnTrB29sbBw4cwOTJkxEeHo4JEyagRYsWou/JS5cu4fbt28L1BQB9+/ZF3759hb+NjIyQnJyM9evXY8WKFaLyrF+/Hi9fvsTcuXMRFRUlU97yfA/JEx8fDz8/P6xevRr/+9//hOVNmjSBnZ1duR9LUfTYPmU7lKpTp44Q5MvzsdcnERERfT7+8T3mXl5eOHXqFPbv349jx44hJiYGFy9eLDPfggULMGTIEFy9ehX9+/eHs7OzMCRSnufPn+PIkSOYPHmyKCiXKmkIZVkWLlyIevXqYcyYMXLXnzlzBpaWlmVuJzMzU6Y32NDQELq6uoiNjS0zf3R0NPT09GBubg4AcHV1RVpaGk6ePIm9e/di3bp1ePLkSZnb8fHxgaenJxISEmBsbAwnJ6dy9QSuWLECnp6eOHr0KOzs7AAA3bt3R3R0NFJSUgAUBlO//fYb+vfvDwD48OEDDh06BGNjY9jb20NXVxedOnVS6Pl3aY9wTExMiWl27NgBOzs7ISiXqlKlCqZPn47r16/jypUrCh+jlI6ODrZu3Qp/f384OzvjwYMHWLdunSiNIuc/PT0dERER6NWrl7Ds7Nmz6NWrF9TV1YVl9vb2SE9PF/VMWlpa4v3794iPjy93+YHCGwAmJiZyR1pIJBLUqFGj3NusrHoB5F8XRW3ZsgXGxsYyo1VKq5fc3Fzs378fX331FfT19bF161Y4Ozvj8OHDQprY2FjhJkBJn6JB9axZsxAQEIDk5GS0b98e7du3x5o1a/D06VOZ/e/duxfv37+XexNywoQJ0NbWxs6dOwEAVatWRWhoKCIjIzF8+HAcPXoUISEhqFq1qpDnzJkzMDY2RvXq1UupSfl1ef36dSxcuBDbtm1DlSry/7soz/eQPGFhYdDW1sakSZPkrq/od29R8o7t72iHjo6O0NXVRbdu3bB3716Z9R97fRIREdHn4x/dY/7mzRsEBQVh27ZtQhAXGhqKRo0alZnX1dUVTk5OAAA/Pz8EBgYiPj5e1JNS1O3bt1FQUABTU1OFyjZr1izMmTNHtCw3NxctW7YU/v79998RFBQkPF8rT1paGho2bFjqvs6ePYvdu3fj0KFDMuv09fUVmpQoMjJSCK5SUlIQFRWFuLg4dOrUCQAQFBQEMzOzMrfj6ekp9LwtWLAA5ubmuH37tkL15u3tjdDQUMTExIh6DGfNmoXMzEyYmpqiatWqyM/Px5IlS4Tz9+TJE7x58wY//PADFi9ejB9//BFHjhzBN998g1OnTokC1uJUVVVhYmICTU3NEtOkpKTAxsZG7jppnaSkpAjPUF+7dk3UKwtA9Gx3Ub1798agQYMQHh6OXbt2oW7duqL1pZ1/JycnREZGIjs7Gw4ODtiyZYuwLiMjQ3jmVap+/frCuqZNmwIAtLS0ULNmTaSlpZVaTyW5desWTExMFEr7d9WLVGnXBVD4iEJYWBi+//57mXXy6uXSpUsICQnBjh07oKamBicnJ1y4cEHuEG5LS8tSr2sAokCtWrVqGDJkCIYMGYInT54IvfBeXl7o378/Ro0aBQcHB6ioqCAlJQU1atRAgwYNZLappqYGIyMj4SYWUNhG3d3d8cMPP+DHH3+EsbGxKI8idZmamorAwED4+/sLy3JycuDk5ITly5ejcePGuHPnTon5Ff0ekufWrVswMjKCqqpqmWkzMzNl2lhZ5B2b1Kdqh9ra2li5ciW6deuGKlWq4MCBAxg6dChCQ0MxYsQIIV1Z12dOTo4w1B5AhUaoEBER0b/DPzowT01NRW5urmgYYe3atRUKFIr+mNbS0oKOjk6pPcLSAELR4cpeXl5wdXUVLQsICMCZM2cAAK9fv8aIESOwefNmmR97RWVnZ4ueky4uKSkJAwcOxNy5c4WbE0VpaGgIE3CVpKCgAL/++ivCw8MBFD5LqaKiIuoJMjU1Vahnqmi9SgOHJ0+elBmY+/v7IysrCxcuXJAZ7rpr1y78/PPP2LFjB8zNzZGQkAB3d3c0bNgQo0aNEiaBGzhwIKZPnw4AaNeuHf744w9s2LCh1IBTX18fN2/eLPO4SiKvXZiYmMhMuPXo0SNYW1vL5E9PT8eRI0egqamJ2NhYDBkyRLS+tPO/atUqzJs3D8nJyZg9ezY8PDxEPXrF22pJbbh4GzE3N8e9e/dEeYoGO4aGhsKkdwUFBQpfE39XvQBlXxcAEBERgdevX8PFxUXu+uL18s033+Dhw4fw9fXFnDlzRL3O8vI2b968xPWl0dXVhbu7O9zd3REVFQVXV1dERkbi8uXLJU4eWVTxc/LmzRvs2rVLqMuZM2eK0pdVl+np6ejbty8GDx4sepba29sbZmZmokCyJMXrsl+/fjI96Obm5jLllnc8pdHR0ZGZsA0AWrRoITd9ScdWdP2naId169YVvquAwhs5L168wLJly2Tqs7Tv8KVLl2LBggUl7p+IiIg+H//ooewl9bYponjvi0QiKfWVPi1atIBEIsGNGzcU2n7dunXRvHlz0adoD1lqairS0tKEXjAVFRVs27YNBw4cgIqKClJTU4XtvHjxQu4+rl+/jt69e2PcuHEyvfNSz58/R7169Uota3x8PHJzc9G9e3cA5b8JUVTRepXmV+RVST169EB+fj52794ts87Lywvff/89hg0bhtatW2PkyJGYPn06li5dCqCwjlRUVESjEYDCnsKPmZBLytjYGNevX5e7ThrUF/3hr6amJnPuDQ0N5eYfO3Ys2rZti8OHD2P9+vU4ffq0aH1p519PTw+mpqYYOHAgNm7ciPXr1+Px48fCuqIzRwMQbjxJe86lireRw4cPIyEhAQkJCcLwbOnfRZdJ60bRa+LvqhdFrgugcBj7l19+WeIzvsXrZfv27Rg5ciRWrFgBMzMzLFq0CHfv3pWbt7xD2Yt6/fo1goOD0bt3bzg4OKBVq1YIDQ0V2rexsTEyMzORnp4ukzc3Nxd37twRtUcvLy+oqanhjz/+QHR0NLZt2ybKU1pdpqenw8bGBl26dMGmTZtE606ePIk9e/YI319ffPGFsL158+aVWpdbtmwRtSlA3O6KjjYwNjZGamoq3r9/L7eMRVWpUkWmjZV0g6S0Y5P6O9qhVOfOnXHr1i2Z5aV9h3t7eyMzM1P4PHjwoMz9EBER0b/TPzowb968OVRVVUWzYr948UI0jLOy1K5dG/b29vjpp5+QlZUls768ExCZmpri2rVroh+ijo6OsLGxQUJCAgwMDAAAFhYWcoPCpKQk2NjYYNSoUViyZIncfbx79w6pqamwsLAotSyRkZEYMGCA0ANoZmaGvLw80eRqycnJn/Td31ZWVjhy5Aj8/PxEk5gBwNu3b2WeX61ataoQ8KupqaFjx45ITk4WpUlJSSkx8CuPYcOG4cSJEzLPkX/48AGrVq1Cy5YtZZ4/V8SWLVsQGxuL4OBg9OrVC1OmTMHo0aNF7auk81+c9GaKdFhrly5dcObMGdEroI4dO4aGDRuKhrinpqbi3bt3ojZiaGgoEziXFEwPHz4cKSkpiIyMlFumzMxMBWvj/31MvShyXQDA3bt3cerUqRLndpBXLz169EBwcDAyMjIwZ84cxMTEoEWLFujZsyc2b94suj6kQ9lL+xSdRT8/Px9RUVEYPnw46tevj6VLl6J37964c+cOoqOj4eLiAjU1NQDAt99+CxUVFblDrzds2ICsrCzhMY/jx49jy5YtCAkJQdu2beHn5wd3d3fhBo60Lm/evClzo1M6mqF9+/YIDg6WuQb37duHK1euCMcjfZQiNjZW9JYKed9D+vr6MoFz0XZXNJgePnw43rx5I/N8t1RFvpfKOjbg72mHRV2+fFnm8QR57bAodXV1VK9eXfQhIiKiz9M/OjDX1tbGmDFj4OXlhejoaCQmJsLV1bXESYg+1rp165Cfnw8rKyvs27cPt27dwo0bNxAQEFDumcerVauGVq1aiT41a9aEjo4OWrVqJfwIt7e3R1JSkqhXRvqjz87ODh4eHsjIyEBGRobMRFFxcXFQV1cvs2zFX5NmYmKCvn37Yty4cTh37hwuXryIsWPHfvJZgbt06YKoqCgsXLgQq1atEpY7ODhgyZIlOHToENLS0rB//36sXLkSX3/9tZDGy8sLu3btwubNm3H79m2sXbsWv/76a4kTRkk9evQIpqampU6uNH36dFhZWcHBwQF79uzB/fv3cf78eXz77be4ceMGgoKCyj264P79+5gxYwZWrFghPO/t5+eHKlWqiJ55lnf+Dx8+jODgYCQmJiItLQ2HDx/GxIkT0a1bNyHoHj58ONTV1eHq6orExETs378ffn5+ohnZgcIgysjICM2aNStX+aWGDBmCoUOHwsnJCUuXLsWFCxdw7949HDx4ELa2tjh16tTfVi+KXhcAsHXrVjRo0AD9+vWTW47S6kVLSwsuLi6Ijo7GnTt30KdPHyxfvlzoMQb+fyh7aZ+iI2j8/Pzg5OQEbW1tnDhxAikpKZgzZw4aN24ss//GjRtj2bJlWL16NXx8fHDz5k2kpqZi5cqVmDlzJmbMmIFOnTrh1atXGDNmDDw9PdG5c2cAwLRp02Bubo7x48cL27OxsUFWVpbweAJQ2JtsbW0NAwMDrFixAk+fPhXqU6pZs2ai7y/p+TIzM4Ourq6QTtHvoZJ06tRJOK6ZM2fi7NmzuHfvHqKjozF48GCEhoaWa3uKHNunboehoaHYsWMHbty4geTkZKxYsQIBAQGYOnWqqKwfe30SERHR5+MfHZgDwPLly9GzZ084OjrC1tYW3bt3R4cOHT7Jvpo2bYpLly7BxsYGM2bMQKtWrWBnZ4fo6GisX7/+k+yzdevWsLS0FA3x3rNnD54+fYqwsDA0aNBA+HTs2FGUd+fOnXB2di51YrPU1FTcvn0b9vb2ouXBwcEwMDBAr1698M0332D8+PGiH9ufSrdu3XDo0CH4+voiICAAQOE7lgcNGoRJkybBzMwMnp6emDBhgvBqNwD4+uuvsWHDBixbtgytW7fGli1bsG/fPmF4fknev3+P5OTkUp/Dr1atGk6ePIlRo0Zh9uzZaN68Ofr27YuqVasiLi5OCHoUVVBQgNGjR6Nz586YMGGCsFxTUxPBwcGiIbPyzr+GhgY2b96M7t27CxN7ffnllzh48KCQpkaNGjh+/DgePnwIS0tLTJo0CR4eHvDw8BCVZefOnRg3bly5yl+URCLBjh07sHLlSuzfvx+9evVCmzZtMH/+fAwcOFCmXZXmY+tF0eviw4cPCAkJgaura4nPiStaL40bN8acOXOQkpKCsLAwhY+1uJEjRyIjIwObNm1C165dy0w/ffp07N+/H7GxsbC0tESrVq2wY8cO0Su/3N3dUaNGDdEzyFWqVEFwcDBOnjwpDGmvU6cOvvnmG1H5jx07htu3b+PkyZNo1KiRqD7LS5HvobL8+OOP2LFjB86dOwd7e3uYm5vDw8MDbdq0wahRo8q1rbKO7e9qh4sXL4alpSU6duyI8PBwbN26VfTcOfDx1ycRERF9PiQFH/Mg979UTEwMbGxs8OLFi0p5Fc/HOnz4MDw9PZGYmKjwaICnT5/C1NQUFy5cEHp8pIoe39atW3HixAnRc8OfSkhICNzd3T/pkPiy/NPOrSIqcv4VkZiYiC+++EKY5fvfhvVSea5duwZbW1vcvn0bOjo6lbbd0r6HPhf/pHb46tUr1KhRA5mZmRzWTkT0mVl1vPIf1aXymW5nXHaiClD0/+9/fI/5p9SoUSPhWU1l6t+/PyZMmIBHjx4pnOfu3btYt26dzI9hc3Nz0fDdRo0awdvbu9LKWhbp64xmzZr1t+1Tqvix/1tU5PwrIj09Hdu2bfvXBp+sl8rTunVrLFu2rMKvNCtJSd9DnxO2QyIiIvo7/Cd7zLOzs4UfWdra2iXO2vxvdO/ePWF2YyMjo0/2PL48r1+/xp9//gkAqFmzZqmvifsUlHnsRESfGnvMiYg+X+wxVz5l95j/o99j/ql8zDuI/+kqY5byitLR0anUYbLlpcxjJyIiIiIiqih2KRIREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREKsouABERERER0X/ZdDtjZReBlIw95kRERERERERKxMCciIiIiIiISIkYmBMREREREREpEQNzIiIiIiIiIiViYE5ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQqyi4AERERERH9N606nqLsIvwjTLczVnYRSMnYY05ERERERESkRAzMiYiIiIiIiJSIgTkRERERERGREjEwJyIiIiIiIlIiBuZERERERERESsTAnIiIiIiIiEiJGJgTERERERERKREDcyIiIiIiIiIlYmBOREREREREpEQMzImIiIiIiIiUiIE5ERERERERkRIxMCciIiIiIiJSIgbmRERERERERErEwJyIiIiIiIhIiRiYExERERERESkRA3MiIiIiIiIiJWJgTkRERERERKREDMyJiIiIiIiIlIiBOREREREREZESMTAnIiIiIiIiUiIG5kRERERERERK9LcE5tbW1nB3dxf+btKkCVavXq1w/piYGEgkEkgkEnz11VeVXr7yevbsGXR1dZGWlqZwnoMHD8LCwgIfPnwQLW/SpIlwbC9fvixXOYrXo0QiwS+//KJw/pCQEGHfH3N+Kupjjv2frCLtQxFr166Fo6NjpW7z78R6UZ6RI0fCz8+vUrf55MkT1KtXD48eParU7f7T9OzZEzt27KjUbV67dg2NGjVCVlZWpW6XiIiI/r3+VT3mycnJCAkJES3LyMjA1KlTYWRkBHV1dRgYGMDBwQHR0dFCmpICzfnz56Ndu3Zy9xUeHl7ijYClS5fCwcEBTZo0AQBcuXIFTk5OMDAwgIaGBszMzLBmzRpRni+//BISiUTmB9758+exb98+uWUICQlB586d5a6rLNWrV8fjx4+xaNEihfO8fv0a7u7uMDQ0hIaGBrp27Yrz58+L0hQUFGD+/Plo2LAhNDQ0YG1tjaSkJFGa0o69NCEhIahZs6bcdUVvTqSlpWHMmDFo2rQpNDQ00KxZM8ybNw+5ubky+UJDQ2FlZQUtLS3o6OigZ8+eOHjwoLD+8OHDUFNTw6VLl0T5VqxYgbp16yIjI0NYVrx9PHv2DH379kXDhg2FNjplyhS8evVKyPPu3Tu4urqidevWUFFRkdvuxo0bh/Pnz+O3335TsKbkKygowKZNm9CpUydoa2ujZs2asLS0xOrVq/H27VsAJV8baWlpkEgkSEhI+Oh6UeS6mT9/vnDzpuhHS0ur0uvlUzt48CCsra2ho6MDTU1NdOzYUeb7rHj9FlX0BuebN2/QrFkzeHh4yOSvXr06tmzZIiy7evUqDh06hKlTpwrL5s+fD1NTU2hpaaFWrVqwtbXFuXPnRNvKycnB1KlTUbduXWhpacHR0REPHz4U1uvq6mLkyJGYN29eBWvk/12+fBmDBw9G/fr1Ua1aNRgbG2PcuHFISUkRjkuRenn//j1mzZqF1q1bQ0tLCw0bNoSLiwvS09OF9Onp6ahduzYCAgJE2zl37hxUVVVx/PhxYdnBgweRkZGBYcOGAQCeP3+OqVOnwsTEBJqammjcuDGmTZuGzMxM0baK3nSUfr7//nthfevWrWFlZYVVq1Z9VL0RERHR5+NfFZjr6uqKArK0tDR06NABJ0+exLJly3Dt2jUcOXIENjY2mDx5coX3c+/ePXh6eqJHjx4y67KzsxEUFISxY8cKyy5evIh69erh559/RlJSEnx8fODt7Y21a9eK8rq5uSEwMFC0rF69eqhdu7bcchw4cAADBw6s8HEoQiKRQE9PDzo6OgrnGTt2LI4fP47t27fj2rVr6NOnD2xtbUU9Z8uWLcPKlSuxdu1anD9/Hnp6erCzs8Pr16+FNKUde2W4efMmPnz4gI0bNyIpKQmrVq3Chg0bMHv2bFE6T09PTJgwAUOGDMGVK1cQHx+PHj16YODAgcI57N+/P1xcXODi4oKcnBwAwI0bN+Dr64uffvoJenp6AOS3jypVqmDgwIE4cOAAUlJSEBISghMnTuC7774T0uTn50NDQwPTpk2Dra2t3ONRV1fH8OHDZdpQUdIApjQjR46Eu7s7Bg4ciFOnTiEhIQG+vr6IjIzEsWPHSs1b3MfUiyLXjaenJx4/fiz6tGzZEoMHDy5Xvchz//79cqUvKj09HXl5eQqnDwwMxMCBA9G1a1ecO3cOV69exbBhw/Ddd9/B09Oz3PvX1tZGcHAwAgMDERsbC6Dwhoubmxu6desmque1a9di8ODBomvc2NgYa9euxbVr1/Dbb7+hSZMm6NOnD54+fSqkcXd3x/79+xEeHo7ffvsNb968wZdffon8/HwhjZubG8LCwvDixYsSy2ptbS1zA6KogwcPonPnzsjJyUFYWBhu3LiB7du3o0aNGvD19S1Xvbx9+xaXLl2Cr68vLl26hIiICKSkpIhGVDRs2BABAQHw9vbGrVu3ABS2z1GjRmHs2LGws7MT0gYEBMDNzQ1VqhT+V5meno709HSsWLEC165dQ0hICI4cOYIxY8bIlGXhwoWidjtnzhzRejc3N6xfv15Un0RERPTfpVLZG8zKysLEiRMREREBHR0dhX50SiQSbN68GYcOHcLRo0ehr68Pf3//MoenTpo0CRKJBPHx8aIeNHNzc4wePbpC5c/Pz4ezszMWLFiA2NhYmSHWUVFRUFFRQZcuXYRlxfdlZGSEs2fPIiIiAlOmTBGWOzo6Ytq0abhz5w6MjIxKLce7d+9w7NgxoSf7yZMnGDNmDE6cOAE9PT0sXry41PxpaWlo2rQp9u3bh8DAQJw7dw4tWrTAhg0bRGVXRHBwMNzd3bF37150794d+/btQ2RkJHr27AmgsPftl19+wfr167F48WIUFBRg9erV8PHxwTfffAOgsEe6fv362LFjByZMmFCu/VdU37590bdvX+FvIyMjJCcnY/369VixYgUAIC4uDv7+/ggICBD1KC5ZsgTv3r2Dh4cHBg4cCAMDA6xatQqtW7fGvHnzsHjxYri4uMDBwQFDhw4V8slrH7Vq1cLEiROFvw0NDTFp0iQsX75cWKalpYX169cDAH7//fcSh/Y7OjqiT58+yM7OhoaGRrnrZPfu3QgLC8Mvv/wiuunTpEkTODo6inrxFVXRelHkutHW1oa2traQ5sqVK7h+/To2bNggyqtovTx9+hQ7duxAaGgoCgoKcPny5XIfLwBs3rwZ69evh7OzszDSoSQPHjzAjBkz4O7uLhpOPmPGDKipqWHatGkYPHgwOnXqVK4y9OzZE1OnToWbmxuuXLmCzZs3IyEhAYmJiUKaDx8+YM+ePfj5559FeYcPHy76e+XKlQgKCsLVq1fxxRdfIDMzE0FBQdi+fbtwo+jnn3+GgYEBTpw4AXt7ewCFPb96enrYv39/hb5z3759Czc3N/Tv3x/79+8Xljdt2hSdOnUq9yMuNWrUEPV4A4U3RaysrHD//n00btwYADBixAhERETA1dUVsbGx8Pb2Rm5uruia/Ouvv3DixAlRr3arVq1Eo3yaNWuGJUuWYMSIEcjLy4OKyv//l6qjoyPcmJLH3t4ez549w+nTp9G7d+9yHScRERF9fiq9x9zLywunTp3C/v37cezYMcTExODixYtl5luwYAGGDBmCq1evon///nB2dsbz589LTP/8+XMcOXIEkydPFgXlUiUNdS7LwoULUa9ePbk9IABw5swZWFpalrmdzMxMmd5gQ0ND6OrqCj1cpYmOjoaenh7Mzc0BAK6urkhLS8PJkyexd+9erFu3Dk+ePClzOz4+PvD09ERCQgKMjY3h5ORUrp6+FStWwNPTE0ePHoWdnR3y8vKQn5+PatWqidJpaGgIQ4nv3r2LjIwM9OnTR1ivrq6OXr164Y8//ih1f9Ie35iYGIXLWB7Fz8vOnTuhra0t92bBjBkz8P79e+GHuI6ODrZu3Qp/f384OzvjwYMHWLdunSiPIu0jPT0dERER6NWrV7nLb2lpiffv3yM+Pr7ceQEgLCwMJiYmckdiSCQS1KhRo9zbrKx6AeRfN0Vt2bIFxsbGMqNZSquX3Nxc7N+/H1999RX09fWxdetWODs74/Dhw0Ka2NhY4SZASZ+iQfWsWbMQEBCA5ORktG/fHu3bt8eaNWtEPc5Se/fuxfv37+XepJwwYQK0tbWxc+fOMutGHj8/P6iqqmLEiBGYPXs2AgMDoa+vL6y/evUqXr58WWrd5+bmYtOmTahRowbatm0LoHA0w/v370XXcMOGDdGqVSuZa9jKykqh7zR5jh49ir/++gszZ86Uu76i3+NFZWZmQiKRyGxrw4YNuHXrFpydnbF27VqEhISIbgL99ttv0NTUhJmZWZnbr169uigoB4Aff/wRderUQbt27bBkyRKZR2jU1NTQtm3bCtcdERERfV4qtcf8zZs3CAoKwrZt24ThgKGhoWjUqFGZeV1dXeHk5ASg8MdmYGAg4uPjRT2eRd2+fRsFBQUwNTVVqGyzZs2SGUqYm5uLli1bCn///vvvCAoKkvsco1RaWhoaNmxY6r7Onj2L3bt349ChQzLr9PX1FZr8KjIyUgieUlJSEBUVhbi4OKFXLSgoqMwfjEDhUOABAwYAKLz5YW5ujtu3bytUb97e3ggNDUVMTIzQI6ijo4MuXbpg0aJFMDMzQ/369bFz506hRx6A8Fxx/fr1RdurX78+7t27V+o+VVVVhec3S5OZmSn6Ea2I1NRUBAYGwt/fX1iWkpKCZs2aQU1NTSZ9w4YNUaNGDeE5VwDo3bs3Bg0ahPDwcOzatQt169YV5SmtfTg5OSEyMhLZ2dlwcHAQPQesKC0tLdSsWRNpaWkVCuxv3boFExMThdJeu3ZNpo4LCgrkpv2YepEq7boBIAx1LvqsrpS8erl06RJCQkKwY8cOqKmpwcnJCRcuXECbNm1k8ltaWpZ63QMQ3TCoVq0ahgwZgiFDhuDJkydCL7yXlxf69++PUaNGwcHBASoqKkhJSUGNGjXQoEEDmW2qqanByMhI1MYAoGvXrsLwaans7GyZ5/6rVauG1atXo2/fvujXrx9GjBghWp+WloaqVatCV1dXZt8HDx7EsGHD8PbtWzRo0ADHjx8XzltGRgbU1NRQq1YtUZ769euL5g0ACr/TKjryQDqUXNHvcUXrRerdu3f4/vvvMXz4cFSvXl20TldXF4sWLcJ3332HiRMnCiOApNLS0lC/fn2Z/RX17NkzLFq0SObG3v/+9z+0b98etWrVQnx8PLy9vXH37l2Za76s/w9ycnKER0QAVGhECxEREf07VGpgnpqaitzcXNFw1dq1aysUCBT9sSydgKu0HmFpgFDW87RSXl5ecHV1FS0LCAjAmTNnABROaDZixAhs3rxZJqgoKjs7W6a3uKikpCQMHDgQc+fOFT2rKKWhoSFMsFWSgoIC/PrrrwgPDwdQ+MyuioqKqNfL1NRUod6kovUqDQyePHlS5g9hf39/ZGVl4cKFCzLD7rdv347Ro0dDX18fVatWRfv27TF8+HCZCcCKn5uCgoIyz5e+vj5u3rxZ5nHp6OjI7A+AcHOguPT0dPTt2xeDBw8WPX9bluJlTk9Px5EjR6CpqYnY2FgMGTJElL609rFq1SrMmzcPycnJmD17Njw8PGR6lhVRvA2Zm5sLNzyk10XRgNrQ0FCYeE+RcyBlYmKCAwcOiJY9evQI1tbWMmk/pl6Asq8bAIiIiMDr16/h4uIid33xevnmm2/w8OFD+Pr6Ys6cOahatWqJ+9fQ0EDz5s1LXF8aXV1duLu7w93dHVFRUXB1dUVkZCQuX75cYsBYlLxzsmvXLpkbb87OznLzBwUFQVNTE9euXUNmZqZo1EN2djbU1dXlnnMbGxskJCTgr7/+wubNmzFkyBCcO3dObhBfWlmL17ufn59odEF2djbi4uJEj/VERUWhR48eJd7oKUl56uX9+/cYNmwYPnz4IPc6y8/PR2hoKDQ1NREXFyczFL2sNvvq1SsMGDAALVu2lJkAb/r06cK/27Rpg1q1amHQoEFCL7pUWf8fLF26FAsWLChxPREREX0+KnUoe3l/ZBWlqqoq+lsikci8WqyoFi1aQCKR4MaNGwptv27dumjevLnoU7QHLDU1FWlpaUIvl4qKCrZt24YDBw5ARUUFqampwnZKmujo+vXr6N27N8aNGyfTOy/1/Plz1KtXr9SyxsfHIzc3F927dwdQ/psQRRWtV2n+0upVqkePHsjPz8fu3btl1jVr1gynT5/Gmzdv8ODBA8THx+P9+/do2rQpAAjPVRbvWXvy5IlML3pFValSReZ8lhRYpaenw8bGBl26dMGmTZtE64yNjYUbSvLyvXr1ShTsjx07Fm3btsXhw4exfv16nD59WpSntPahp6cHU1NTDBw4EBs3bsT69evx+PHj8h66TBs6fPgwEhISkJCQIAzPlv5ddJn0eBW9ZtTU1GTq19DQUG7aj6kXRa4boHAY+5dfflnic7vF62X79u0YOXIkVqxYATMzMyxatAh3796Vm7e8Q9mLev36NYKDg9G7d284ODigVatWCA0NFUbjGBsbIzMzUzQzuFRubi7u3Lkjc0PJwMBApu7lPTu/a9cuHDhwAL/99htq1KghCgiBwnp/+/at3PatpaWF5s2bo3PnzggKCoKKigqCgoIAFLbV3NxcmXMm7xouXu/fffedqP1ZWlpi4cKFMsukdQNAoZtx5amX9+/fY8iQIbh79y6OHz8u01sOFD6mc+vWLZw/fx7p6eky57e0Nvv69Wv07dsX2tra2L9/v8z/X8VJ365x+/Zt0fKy/j/w9vZGZmam8Hnw4EGp+yEiIqJ/r0oNzJs3bw5VVVXExcUJy168eCEzTLMy1K5dG/b29vjpp5/kvgu2vJMGmZqa4tq1a6Ifj46OjkKvkoGBAQDAwsIC169fl8mflJQEGxsbjBo1CkuWLJG7j3fv3iE1NRUWFhalliUyMhIDBgwQevjMzMyQl5eHCxcuCGmSk5M/6bu/rayscOTIEfj5+YkmRCpKS0sLDRo0wIsXL3D06FFh6H3Tpk2hp6cnmoQpNzcXp0+fRteuXT9ZmeWR9vC2b98ewcHBMsNShw0bhjdv3mDjxo0yeVesWAFVVVV8++23AAoDw9jYWAQHB6NXr16YMmUKRo8eLWp/JbWP4qQ3W4oOU1VEamoq3r17J2pDhoaGMoFzScH08OHDkZKSgsjISLllKv7aJ0V8TL0oct0AhfMWnDp1qsS5H+TVS48ePRAcHIyMjAzMmTMHMTExaNGiBXr27InNmzeLrh/pUPbSPsVn0Y+KisLw4cNRv359LF26FL1798adO3cQHR0NFxcX4fGIb7/9FioqKqJHKKQ2bNiArKws4TGe8vjzzz8xefJkLF68GBYWFggJCcH27dsRFRUlpJH22CvaJqXtsUOHDjKvDnv8+DESExNlruHExERRvdeuXVsmcNbV1ZUbTPfp0wd169bFsmXL5JapIt9x0qD81q1bOHHihKiHWiopKQnz5s3D+vXr0bJlS2zYsAGLFy/G1atXhTQWFhbIyMiQCc5fvXqFPn36QE1NDQcOHCi1V11KOtS/+OMMxeuuOHV1dVSvXl30ISIios9TpQbm2traGDNmDLy8vBAdHY3ExES4urqW+ozex1i3bh3y8/NhZWWFffv24datW7hx4wYCAgLKPfN4tWrV0KpVK9GnZs2a0NHRQatWrYQf2fb29khKShL9WJMGF3Z2dvDw8EBGRgYyMjJkJoKKi4uDurp6mWUr/po0ExMT9O3bF+PGjcO5c+dw8eJFjB07tkKzcpdHly5dEBUVhYULF4pmJj569CiOHDki9EbZ2NjAxMQEbm5uAAp75qUzUO/fv19oB5qamjKzQRf36NEjmJqaVnhys6LS09NhbW0NAwMDrFixAk+fPhXOTdFj/N///gcvLy/4+/sjNTUVN2/exJw5c7BmzRr4+/vDwMAA9+/fx4wZM7BixQphZICfnx+qVKkieuZZXvs4fPgwgoODkZiYiLS0NBw+fBgTJ05Et27dhHd6A4XBU0JCAp4/f47MzEwhICwqNjYWRkZGaNasWYXqZMiQIRg6dCicnJywdOlSXLhwAffu3cPBgwdha2uLU6dOlWt7H1Mvil43ALB161Y0aNAA/fr1k1uO0upFS0sLLi4uiI6Oxp07d9CnTx8sX74cX3zxhZBGOpS9tE/RETZ+fn5wcnKCtrY2Tpw4gZSUFMyZM0eY9buoxo0bY9myZcKbCm7evInU1FSsXLkSM2fOxIwZM8o9IztQOHGciYmJ8C5zS0tLzJw5E+PHjxdusNSrVw/t27cXveM9KysLs2fPRlxcHO7du4dLly5h7NixePjwofAauho1amDMmDGYMWMGoqOjcfnyZYwYMQKtW7cWvc7v7du3uHjxomiSuPLQ0tLCli1bcOjQITg6OuLEiRNIS0vDhQsXMHPmTNHNEEXk5eVh0KBBuHDhAsLCwpCfny+0K+mogby8PIwaNQpff/01Bg0aBAD46quvMHjwYLi6ugqTY1pYWKBevXr4/fffhe2/fv0affr0QVZWFoKCgvDq1Sth+9LXnp09exarVq1CQkIC7t69i927d2PChAlwdHQUtY+0tDQ8evSoxNcjEhER0X9LpUfMy5cvR8+ePeHo6AhbW1t0794dHTp0qOzdACjsmb106RJsbGwwY8YMtGrVCnZ2doiOjhZePVXZWrduDUtLS9EQ7z179uDp06cICwtDgwYNhE/Hjh1FeXfu3AlnZ+dSJzZLTU3F7du3hdcRSQUHB8PAwAC9evXCN998g/Hjx5f6LGhl6datGw4dOgRfX18EBAQAKJx4bfLkyTA1NYWLiwu6d++OY8eOiYZzzpw5E+7u7pg0aRIsLS3x6NEjHDt2rMz3pb9//x7JycllPoeviP9r796jqq7SP45/DoggV1NDNBLLC4pigzoqimkjKSrppI2lLiatlGmtnHCmzCZLmxrDctKWl3FpmDFLxfGC4tSavIWhoI5UI4SOYV5GE9EkIe/G/v3Rj7M8gohwDl+h92st1vLs79777OfhKDzu72XTpk3Kz8/Xtm3bFBwc7PC9ud7cuXO1cOFCpaSkKDw8XN26ddP27du1fv16TZo0ScYYPfXUU+rVq5fDTZ68vb31wQcfOJy6XdHno1GjRlqyZImioqLUsWNHJSQkKDY2Vv/85z8d1jFkyBBFRERo48aNSk9PV0RERLndtJUrV2rChAnVzonNZtOKFSv07rvvKjU1Vf369VOXLl00Y8YMDR8+vNznrjI1zUtV/96UlpZq2bJlGjdu3E2vE69qXlq1aqVp06bp4MGDWr58eZVjvVFcXJwKCgq0ePHiKp0FMnnyZKWmpiojI0Pdu3dX586dtWLFCodH992O5ORkbd68WcuWLXP4j8/p06ercePGDqe0T5w40SFWd3d3HThwQCNHjlT79u0VGxur06dPKyMjw/4UCOmneyL8+te/1qhRo9SnTx95e3tr48aNDt+DDRs2qFWrVuXukn87hg8frszMTHl4eGjMmDHq0KGDRo8erXPnzt3ysZA3On78uNLS0nT8+HH94he/cPhcld1NfubMmTpx4oTmz5/vMHbevHk6efKk/ZR2d3d3PfXUUw65y87O1u7du5WTk6O2bds6zF92mrmnp6dWrVql/v37KywsTK+99pomTJhQ7s77K1eu1MCBA296eQgAAPh5sZmaXBheS9LT0/XQQw+pqKjIKY/PqamPP/5YL7zwgnJzc6t8NsDp06fVoUMH7d27176zWOb6+JYuXaotW7Y4XBfsKsuWLVNCQoJLT4m/lTvte+sM1fl8VEVubq4GDBhgv8t3XUNerHHp0iWFhoYqJSXlts8kupUePXooISHhlmfC1FWnTp1Sp06dlJ2d7dQC+vLly2rXrp1WrlypPn36VHlccXGxAgIC7I9oA4D6YM5m51/yWhdNfri91UuAi1T157drzjF3keDg4Gpdi+lsQ4YMUXx8vE6cOFHlMYcPH9bChQvLFeWdOnVyOD03ODhYL7/8stPWeitljx176aWXau09y9wYe31Rnc9HVXz77bdKTk6us8UnebGGl5eXkpOTdebMGafOW1hYqMcee+yO+DfZVZo3b66kpCQdO3bMqfMePXpUr7zyym0V5QAAoH6rEzvmFy9etP8y7+vre9O7MtdFR48e1dWrVyVJ999/v8uux69ISUmJTp06JUlq3LhxpY+JcwUrYweAuoYdcwD1ETvmP2HHvP6q6s9vpz7H3FVq8ozhO52V1xf6+fnd8ppvV+LaSgAAAACoY6eyAwAAAABQ31CYAwAAAABgIQpzAAAAAAAsRGEOAAAAAICFKMwBAAAAALAQhTkAAAAAABaiMAcAAAAAwEIU5gAAAAAAWIjCHAAAAAAAC1GYAwAAAABgIQpzAAAAAAAsRGEOAAAAAICFKMwBAAAAALAQhTkAAAAAABaiMAcAAAAAwEIU5gAAAAAAWIjCHAAAAAAAC1GYAwAAAABgIQpzAAAAAAAs1MDqBQAAAAD4eZr8cHurlwDcEdgxBwAAAADAQhTmAAAAAABYiMIcAAAAAAALUZgDAAAAAGAhCnMAAAAAACxEYQ4AAAAAgIUozAEAAAAAsBCFOQAAAAAAFqIwBwAAAADAQhTmAAAAAABYiMIcAAAAAAALUZgDAAAAAGAhCnMAAAAAACxEYQ4AAAAAgIUozAEAAAAAsFADqxcAAABuzRgjSSouLrZ4JQAAoKrKfm6X/Ry/GQpzAADqgJKSEknSvffea/FKAADA7SopKVFAQMBNj9vMrUp3AABgudLSUn377bfy8/OTzWazejkuVVxcrHvvvVf/+9//5O/vb/Vy6hRyVzPkr/rIXfWRu5q50/NnjFFJSYlatmwpN7ebX0nOjjkAAHWAm5ubgoODrV5GrfL3978jf8mqC8hdzZC/6iN31UfuauZOzl9lO+VluPkbAAAAAAAWojAHAAAAAMBCFOYAAOCO4unpqenTp8vT09PqpdQ55K5myF/1kbvqI3c1U1/yx83fAAAAAACwEDvmAAAAAABYiMIcAAAAAAALUZgDAAAAAGAhCnMAAFCrioqKFBcXp4CAAAUEBCguLk7ff/99pWOMMZoxY4ZatmypRo0aqX///vrqq68c+hQUFCguLk5BQUHy8fFR165dtWbNGhdGYg1X5U+SsrKy9Ktf/Uo+Pj5q3Lix+vfvr4sXL7ooktrnytyV9R08eLBsNpvWr1/v/AAs5IrcnT17VpMmTVJoaKi8vb3VqlUr/f73v9e5c+dcHI3rLVy4UPfdd5+8vLzUrVs3ZWRkVNp/+/bt6tatm7y8vHT//fdr0aJF5fqsXbtWYWFh8vT0VFhYmFJTU121fEs5O3dLlixR3759ddddd+muu+5SdHS09uzZ48oQqscAAADUopiYGNO5c2eTmZlpMjMzTefOnU1sbGylYxITE42fn59Zu3atycnJMY8//rhp0aKFKS4utveJjo42v/zlL83u3bvNoUOHzBtvvGHc3NzM559/7uqQapWr8peZmWn8/f3NW2+9ZXJzc83BgwfN6tWrzaVLl1wdUq1xVe7KvPvuu2bw4MFGkklNTXVRFNZwRe5ycnLMiBEjTFpamsnPzzdbt2417dq1MyNHjqyNkFwmJSXFeHh4mCVLlpi8vDzz/PPPGx8fH3P06NEK+3/zzTfG29vbPP/88yYvL88sWbLEeHh4mDVr1tj7ZGZmGnd3dzNz5kyzf/9+M3PmTNOgQQOza9eu2gqrVrgid2PGjDELFiwwX3zxhdm/f78ZP368CQgIMMePH6+tsKqEwhwAANSavLw8I8nhl8msrCwjyRw4cKDCMaWlpSYoKMgkJiba2y5dumQCAgLMokWL7G0+Pj4mOTnZYWyTJk3M+++/7+QorOPK/PXs2dNMmzbNdYu3mCtzZ4wxX375pQkODjYnT56sd4W5q3N3vX/84x+mYcOG5urVq84LoJb16NHD/O53v3No69Chg5k6dWqF/adMmWI6dOjg0BYfH2969eplfz1q1CgTExPj0GfQoEHmiSeecNKq7wyuyN2Nrl27Zvz8/MyHH35Y8wU7EaeyAwCAWpOVlaWAgAD17NnT3tarVy8FBAQoMzOzwjGHDx9WQUGBBg4caG/z9PRUv379HMZERUVp1apVOnv2rEpLS5WSkqLLly+rf//+Lountrkqf4WFhdq9e7cCAwPVu3dvNW/eXP369dOOHTtcG1AtcuVn78KFCxo9erTmz5+voKAg1wVhEVfm7kbnzp2Tv7+/GjRo4LwAatGVK1eUnZ3tELckDRw48KZxZ2Vlles/aNAg7d27V1evXq20T2W5rGtclbsbXbhwQVevXlWTJk2cs3AnoTAHAAC1pqCgQIGBgeXaAwMDVVBQcNMxktS8eXOH9ubNmzuMWbVqla5du6amTZvK09NT8fHxSk1NVZs2bZwYgbVclb9vvvlGkjRjxgxNmDBB//rXv9S1a1cNGDBAX3/9tTNDsIwrP3uTJ09W7969NXz4cCeu+M7hytxd77vvvtMbb7yh+Pj4Gq7YOmfOnNGPP/54W3EXFBRU2P/atWs6c+ZMpX1uNmdd5Krc3Wjq1Km65557FB0d7ZyFOwmFOQAAqLEZM2bIZrNV+rV3715Jks1mKzfeGFNh+/VuPH7jmGnTpqmoqEhbtmzR3r179Yc//EG/+c1vlJOT44QIXcvq/JWWlkqS4uPjNX78eEVERGjOnDkKDQ3V0qVLnRGiy1idu7S0NG3btk1z5851TkC1yOrcXa+4uFhDhw5VWFiYpk+fXoOo7gxVjbuy/je23+6cdZUrclfm7bff1sqVK7Vu3Tp5eXk5YbXOUzfPEQEAAHeU5557Tk888USlfVq3bq19+/bp1KlT5Y6dPn263K5HmbJTgwsKCtSiRQt7e2FhoX3MoUOHNH/+fOXm5qpTp06SpAceeEAZGRlasGBBhXc4vpNYnb+y9rCwMIexHTt21LFjx6oeiAWszt22bdt06NAhNW7c2GHsyJEj1bdvX6Wnp99GNLXL6tyVKSkpUUxMjHx9fZWamioPD4/bDeWO0axZM7m7u5fb4a0o7jJBQUEV9m/QoIGaNm1aaZ+bzVkXuSp3ZWbPnq2ZM2dqy5Yt6tKli3MX7wQU5gAAoMaaNWumZs2a3bJfZGSkzp07pz179qhHjx6SpN27d+vcuXPq3bt3hWPuu+8+BQUFafPmzYqIiJD007WI27dv16xZsyT9dM2gJLm5OZ4M6O7ubt8NvpNZnb/WrVurZcuW+u9//+sw9uDBgxo8eHBNQnM5q3M3depUPfPMMw7jwsPDNWfOHD3yyCM1Cc3lrM6d9NNO+aBBg+Tp6am0tLQ7bhfzdjVs2FDdunXT5s2b9eijj9rbN2/efNNLHSIjI7Vx40aHtk2bNql79+72/6SIjIzU5s2bNXnyZIc+N8t/XeSq3EnSO++8ozfffFOffPKJunfv7poAasqSW84BAICfrZiYGNOlSxeTlZVlsrKyTHh4eLnHLoWGhpp169bZXycmJpqAgACzbt06k5OTY0aPHu3w2KUrV66Ytm3bmr59+5rdu3eb/Px8M3v2bGOz2cxHH31Uq/G5mivyZ4wxc+bMMf7+/mb16tXm66+/NtOmTTNeXl4mPz+/1mJzNVfl7kaqZ3dlN8Y1uSsuLjY9e/Y04eHhJj8/35w8edL+de3atVqNz5nKHvmVlJRk8vLyTEJCgvHx8TFHjhwxxhgzdepUExcXZ+9f9sivyZMnm7y8PJOUlFTukV87d+407u7uJjEx0ezfv98kJibW68elOTN3s2bNMg0bNjRr1qxx+IyVlJTUenyVoTAHAAC16rvvvjNjx441fn5+xs/Pz4wdO9YUFRU59JFkPvjgA/vr0tJSM336dBMUFGQ8PT3Ngw8+aHJychzGHDx40IwYMcIEBgYab29v06VLl3KPT6sPXJU/Y4x56623THBwsPH29jaRkZEmIyPDxdHULlfm7sY56lth7orcffrpp0ZShV+HDx+uncBcZMGCBSYkJMQ0bNjQdO3a1Wzfvt1+7MknnzT9+vVz6J+enm4iIiJMw4YNTevWrc3f/va3cnOuXr3ahIaGGg8PD9OhQwezdu1aV4dhCWfnLiQkpMLP2PTp02shmqqzGfP/V8cDAAAAAIBax13ZAQAAAACwEIU5AAAAAAAWojAHAAAAAMBCFOYAAAAAAFiIwhwAAAAAAAtRmAMAAAAAYCEKcwAAAAAALERhDgAAAACAhSjMAQAAUK/1799fCQkJkqTWrVtr7ty5tz3Hq6++qokTJ1apb2Fhoe6++26dOHHitt/nyJEjstls+vLLLyVJ6enpstls+v77729rnitXrqht27bauXNnhfPeLpvNpvXr10uqWXwAKkZhDgAAAFTi1KlTeu+99/SnP/2pSv0DAwMVFxen6dOnV3h83Lhxmjp1qjOXWM7ixYsVEhKiPn36OGW+kydPavDgwZJuHR+A20dhDgAAAFQiKSlJkZGRat26dZXHjB8/XsuXL1dRUZFDe2lpqT766CMNHz7cyat0NG/ePD3zzDNOmy8oKEienp721zeLD0D1UJgDAACg3jh//rx++9vfytfXVy1atNBf//rXSvvbbDa9//77evTRR+Xt7a127dopLS3NoU9KSoqGDRvm0FZaWqpZs2apbdu28vT0VKtWrfSXv/zFfjw8PFxBQUFKTU11GLdz5065ubmpZ8+ekqQ9e/YoIiJCXl5e6t69u7744otK17ts2TI1btxYn3zyiTp27ChfX1/FxMTo5MmT9j6ff/658vPzNXTo0JvOU1paqgkTJqh9+/Y6evRope8pOZ7KXll8AKqHwhwAAAD1xosvvqhPP/1Uqamp2rRpk9LT05WdnV3pmNdff12jRo3Svn37NGTIEI0dO1Znz56VJBUVFSk3N1fdu3d3GPPyyy9r1qxZevXVV5WXl6cVK1aoefPmDn169OihjIwMh7a0tDQ98sgjcnNz0/nz5xUbG6vQ0FBlZ2drxowZeuGFF24Z44ULFzR79mz9/e9/12effaZjx445jPvss8/Uvn17+fv7Vzj+ypUrGjVqlPbu3asdO3YoJCTklu9ZkYriA1A9DaxeAAAAAOAMP/zwg5KSkpScnKyHH35YkvThhx8qODi40nHjxo3T6NGjJUkzZ87UvHnztGfPHsXExOjo0aMyxqhly5b2/iUlJXrvvfc0f/58Pfnkk5KkNm3aKCoqymHee+65p9wOeFpammbPni1JWr58uX788UctXbpU3t7e6tSpk44fP65nn3220vVevXpVixYtUps2bSRJzz33nP785z/bjx85csRhvTfmaOjQobp48aLS09MVEBBQ6XtVpqL4AFQPO+YAAACoFw4dOqQrV64oMjLS3takSROFhoZWOq5Lly72P/v4+MjPz0+FhYWSpIsXL0qSvLy87H3279+vy5cva8CAAZXO26hRI124cMFh3PHjxxUdHW1//cADD8jb29ve5/q134y3t7e9KJekFi1a2Ndbtubr13u90aNH64cfftCmTZtqVJRL5eMDUH0U5gAAAKgXjDHVGufh4eHw2mazqbS0VJLUrFkzSXK4yVmjRo2qNO/Zs2d1991321+npaXp4Ycfto935nqvn6tZs2Y3vSnbkCFDtG/fPu3atata7329G+MDUH0U5gAAAKgX2rZtKw8PD4eis6ioSAcPHqz2nG3atJG/v7/y8vLsbe3atVOjRo20devWSsfm5uYqIiLC/nrDhg0ON5ELCwvTf/7zH/uuvCSnFMwRERE6cOBAhYX/s88+q8TERA0bNkzbt2+v0fvcGB+A6qMwBwAAQL3g6+urp59+Wi+++KK2bt2q3NxcjRs3Tm5u1f+V183NTdHR0dqxY4e9zcvLSy+99JKmTJmi5ORkHTp0SLt27VJSUpK9z4ULF5Sdna2BAwdKkgoLC/Xvf/9bsbGx9j5jxoyRm5ubnn76aeXl5enjjz+2X39eEw899JDOnz+vr776qsLjkyZN0ptvvqnY2FiHuG7HjfEBqBkKcwAAANQb77zzjh588EENGzZM0dHRioqKUrdu3Wo058SJE5WSkmI/vV2SXn31Vf3xj3/Ua6+9po4dO+rxxx93uM57w4YNatWqlfr27StJ2rhxo3r27KnAwEB7H19fX23cuFF5eXmKiIjQK6+8olmzZtVorZLUtGlTjRgxQsuXL79pn4SEBL3++usaMmSIMjMzb/s9bowPQM3YTHUvbgEAAAB+Bowx6tWrlxISEux3b7+VHj16KCEhQWPGjJEkDRs2TFFRUZoyZYorl2qXk5Oj6Oho5efny8/Pz+nz3xgfgJphxxwAAACohM1m0+LFi3Xt2rUq9S8sLNRjjz3mUMRHRUVVuah3hvDwcL399ts6cuSI0+euKD4ANcOOOQAAAPAztnz5csXHx1d4LCQk5KbXqgNwHgpzAAAA4GespKREp06dqvCYh4eHQkJCanlFwM8PhTkAAAAAABbiGnMAAAAAACxEYQ4AAAAAgIUozAEAAAAAsBCFOQAAAAAAFqIwBwAAAADAQhTmAAAAAABYiMIcAAAAAAALUZgDAAAAAGCh/wN3ihCksALVbwAAAABJRU5ErkJggg==", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + "CH4(2): Thermo Sensitivities\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + "CO2(4): Reaction Sensitivities\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" + "CO2(4): Thermo Sensitivities\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Found multiple binding energies for 'Cu'. Using 'Cu111'.\n" - ] + "data": { + "image/png": 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YRERERARQMBYRERERARSMRUREREQABWMREREREUDBWEREREQEUDAWEREREQEUjEVEREREAAVjERERERFAwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRERERARQMBYRERERARSMRUREREQAsC/pBoiIiBTEsBC/km6CiDzgNGMsIiIiIoKCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIgDYl3QDRERECmLqqoMl3QSRB96wEL+SbkKJ0oyxiIiIiAgKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAH+iYBwYGMjQoUMBqFGjBh9++GGBj127di02mw2bzcZTTz1VLO0rrNGjRzNgwIBCHdOyZUuWLl1qKVu4cKHZt+zxKaiFCxfy0EMPFeqYbIGBgeZ1ExMT7+ocRW3+/Pl06tSpUMd069aNDz74wFL2Z/z3IiIiIiXvTxOMi8KBAwdYuHChpSwtLY1XXnmFWrVq4eDggLe3N127diU+Pt5Sb+PGjYSFhfHwww/j6OhIo0aNmDJlCjdu3DDrpKSk0LdvX2rWrImTkxO1a9dmzJgxXL161XKu06dPM23aNN56661c2zlhwoRcg+7o0aMZMWIEWVlZZlmPHj04deoUAQEBuZ6rZs2axMbG3mloTFevXmXSpEk0a9YMFxcX3N3dadKkCaNGjeLkyZOWuv379+fUqVM0bNjQ7H9eQfnWX2yuXbvGP/7xDxo1aoSLiwuVK1fm+eefz3F+KNi4A1y5coW3336b0aNHm2W3/tJw6/b777+bdd5++23GjRvH+fPnzbI2bdpw6tQpunfvXuBxExERkQffAxWMPT09LTOkKSkpNG/enNWrVzNx4kT27NlDbGwsQUFBDBo0yKy3bNkyOnToQNWqVVmzZg379+9nyJAhjBs3jp49e2IYBgD79+8nKyuLOXPmsHfvXqZOncrHH3+cIwDPnz+fgIAAatSokaON27ZtY+7cuTRu3DjHvi5dupCRkcHKlSvNMicnJ7y8vChTpkyO+rt37yY9PZ2goKACjc+VK1cICQlh/PjxREZGsn79enbs2MHEiRNJT09nxowZlvrOzs54eXlhb29foPNnu3TpEjt37mT06NHs3LmTpUuXcvDgQcLDwy31CjruAEuWLMHV1ZVHH33Uco6yZcty6tQpy+bo6Gjub9y4MTVq1GDx4sVmWZkyZfDy8sLJyalQ/RIREZEHW+ESTxG5ePEiL7/8MkuXLsXNzY3XX3893/o2m4158+bx3XffsXLlSqpUqcKUKVNyBK3bDRw4EJvNxtatW3FxcTHLGzRoQJ8+fcy29O/fn/DwcObOnWvW6devHxUrViQ8PJyvvvqKHj160LlzZzp37mzWqVWrFgcOHGD27NlMnjzZLI+OjubFF1/M0Z7MzEwiIiKYN28e7733Xo79pUqVIiwsjKioKB5//PF8+wawfPlyQkNDcXBwAG7OoL799tv8+uuvhIaG0q5dO0v9qVOnsmHDBrZv346/v79Z7uPjQ2hoqCWI/hHu7u6sWrXKUjZjxgxatWrF8ePHqVatWqHGHW6OaW7ft81mw8vLK9/2hIeHExUVxcsvv1wEvRMREZEHVYnMGA8fPpw1a9awbNky4uLiWLt2LTt27Mj3mHfffZfu3buze/duwsLCiIiI4OzZs3nWP3v2LLGxsQwaNMgSirNlzyzHxcWRnp6eazjv2rUrfn5+REVF5XmdjIwMPDw8zM/nzp0jKSmJFi1a5Kg7aNAgunTpQnBwcJ7na9WqFQkJCXnuv1VMTAxPPvkkAFu2bKFPnz4MHDiQxMREgoKCcoTvqKgoQkJCLKH4VjabrUDXvRsZGRnYbLa7HveEhIRcxzQzM5Pq1atTtWpVnnjiCXbt2pWjTqtWrdi6dStXrlwpug6JiIjIA+eeB+PMzEzmz5/P5MmTCQkJoVGjRixatCjHmtLbRUZG0qtXL3x8fBg/fjwXL15k69atedY/fPgwhmFQt27dfM978OBBAOrVq5fr/rp165p1bnfkyBFmzJjBSy+9ZJYdO3YMwzCoXLmypW50dDQ7d+5kwoQJ+banSpUqHD9+3LLOODepqan8+OOPhIWFATBt2jRCQ0MZMWIEfn5+DB48mNDQ0Bx9rVOnjqXs6aefxtXVFVdXV9q0aZPvNbO1adPGPCZ7yy/M//7774wYMYJnn32WsmXLmm2Bgo37b7/9xm+//ZZjTOvWrcvChQuJiYkhKioKR0dH2rZty6FDhyz1qlSpwpUrV0hLSytQ/7JduXKF8+fPWzYRERF5cN3zYHzkyBGuXr1quZnMw8MjR2C73a1rcl1cXHBzc+PMmTN51s9eFlDQWdC8lhEYhpHrOU6ePEnnzp155pln6Nevn1l++fJlAMs61xMnTjBkyBA+//xzS3lunJycyMrKuuPsZkxMDG3btjVnq5OTk3PcoJfbDXu392XWrFkkJibSp08fLl26lO81s3355ZckJiZattxmc+HmjXg9e/YkKyuLWbNm5dhfkHHPbUwBWrduzd/+9jeaNGnCo48+yldffYWfn1+OtdLZa4kL2r9sEyZMwN3d3dy8vb0LdbyIiIjcX+55ML7bdaylS5e2fLbZbPnOqvr6+mKz2UhOTs73vH5+fgB51tu/fz++vr6WspMnTxIUFERAQIBlfSxA+fLlgZtLKrLt2LGDM2fO0Lx5c+zt7bG3t2fdunVMnz4de3t7y2z52bNncXZ2vuONYbcuo4CCjauvry/79++3lFWqVAkfHx/LcpA78fb2xsfHx7Ll1t5r167RvXt3jh49yqpVq8zZYijcuJcrVw6bzWYZ09zY2dnRsmXLHDPG2UtuKlSoUOA+Arz55ptkZGSY24kTJwp1vIiIiNxf7nkw9vHxoXTp0mzevNksO3fuXJ7LFe6Wh4cHoaGhzJw5k4sXL+bY/9tvvwHQqVMnPDw8mDJlSo46MTExHDp0iF69epllqampBAYG0qxZMxYsWICdnXUIa9euTdmyZdm3b59Z9thjj7Fnz54cM6wREREkJiZSqlQps25SUhLNmjXLt2+ZmZmsWbPGcjNa/fr1LWMK5Pjcq1cvVq1ales63KKWHYoPHTrEDz/8QLly5Sz7CzPuZcqUoX79+pYxzY1hGCQmJlKpUiVLeVJSElWrVjV/aSkoBwcHypYta9lERETkwXXPg7Grqyt9+/Zl+PDhxMfHk5SURGRkZI6AWRRmzZrFjRs3aNWqFUuWLOHQoUMkJyczffp0c5mBi4sLc+bMYfny5QwYMIDdu3eTkpLC/PnziYyMpFu3bubzbk+ePElgYCDe3t5MnjyZX375hbS0NMvaVTs7O4KDg9mwYYNZ5ubmRsOGDS2bi4sL5cqVM58RnC0hIeGOL7GIjY3F19eXWrVqmWWDBw8mNjaWiRMncvDgQT766KMczzceNmwYAQEBdOzYkWnTprFz506OHj3KypUrWbFihSWg/xHXr1+nW7dubN++ncWLF3Pjxg1znLKf+VyYcQcIDQ21jCncvCFz5cqV/PTTTyQmJtK3b18SExMta76hYGMqIiIiUiJPpZg0aRLt27cnPDyc4OBg2rVrR/PmzYv8OjVr1mTnzp0EBQXx2muv0bBhQ0JCQoiPj2f27NlmvW7durFmzRpOnDhB+/btqVOnDh988AEjR44kOjraXOsaFxfH4cOHWb16NVWrVqVSpUrmdqsBAwYQHR19xxvobpeamsrGjRvp3bt3vvWWL19uWUYBN9fbfvLJJ8yYMYOmTZsSFxfHqFGjLHUcHR2Jj49nxIgRLFiwgHbt2lGvXj2GDh1K27Zt+eabbwrV3rz8/PPPxMTE8PPPP9O0aVPLOG3cuNGsV9Bxh5svG/n+++/JyMgwy3777TcGDBhAvXr16NSpE6mpqaxfv55WrVqZdX7//XeWLVtG//79i6RvIiIi8uCyGUX18NoStHbtWoKCgjh37txdvwK5KBmGQevWrRk6dKhlGcadDB8+nIyMjBzrluHmm+WaNm3KlClT8PT0ZMWKFZYAWNSyr1eYV3MXt+7du+Pv78+bb75Z4GNmzpzJ8uXLiYuLy7EvMjKS3377rcC/EJw/fx53d3cyMjK0rEKkBExdVbRL7kQkp2EhfiXdhCJXmJ/fD9Sb76pWrVqoIFpcbDYbc+fO5fr164U6ztPTk7Fjx1rKFi9ebHkcWnp6OsOGDaNly5ZF1t68zJo1C1dXV/bs2VPs1yqISZMm4erqWqhjSpcuneMpFQkJCbi6ulrehiciIiLyQMwYX758mdTUVODmGuY7vQntfnLhwgVOnz4N3HwpSWFvILtbqamp5mPSqlWrlusrqe9Xd/vvRTPGIiVLM8Yixe9/fca4RF4JXdScnJzw8fEp6WYUCzc3N9zc3O75datUqXLPr3mvPMj/XkREROTuPVBLKURERERE7paCsYiIiIgICsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiIA2Jd0A0RERApiWIhfSTdBRB5wmjEWEREREUHBWEREREQEUDAWEREREQEUjEVEREREAAVjERERERFAwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRERERARQMBYRERERARSMRUREREQABWMREREREQDsS7oBInLT1FUHS7oJIn9qw0L8SroJIvKA04yxiIiIiAgKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAPcwGAcGBjJ06FAAatSowYcffljgY9euXYvNZsNms/HUU08VS/sKa/To0QwYMKBQx7Rs2ZKlS5dayhYuXGj2LXt8CmrhwoU89NBDhTomW2BgoHndxMTEuzpHUbp69So+Pj7897//LdLzfvvtt/j7+5OVlWUpr1Gjhtn/3377rUivKSIiIven+2rG+MCBAyxcuNBSlpaWxiuvvEKtWrVwcHDA29ubrl27Eh8fb6m3ceNGwsLCePjhh3F0dKRRo0ZMmTKFGzdumHVSUlLo27cvNWvWxMnJidq1azNmzBiuXr1qOdfp06eZNm0ab731Vq7tnDBhQq5Bd/To0YwYMcIS0nr06MGpU6cICAjI9Vw1a9YkNjb2TkNjunr1KpMmTaJZs2a4uLjg7u5OkyZNGDVqFCdPnrTU7d+/P6dOnaJhw4aW8iVLlhAYGIi7uzuurq40btyY//u//+Ps2bNA/oHcZrPxzTffAPDjjz/i4OBATExMjvM7OjqSlJRkls2dO5fq1avTtm1boGDfxa2/VNy+nTlzBoAnnngCm83GF198YWnDtm3bWLJkSQFHVURERP4X3FfB2NPT0xLIUlJSaN68OatXr2bixIns2bOH2NhYgoKCGDRokFlv2bJldOjQgapVq7JmzRr279/PkCFDGDduHD179sQwDAD2799PVlYWc+bMYe/evUydOpWPP/44RwCeP38+AQEB1KhRI0cbt23bxty5c2ncuHGOfV26dCEjI4OVK1eaZU5OTnh5eVGmTJkc9Xfv3k16ejpBQUEFGp8rV64QEhLC+PHjiYyMZP369ezYsYOJEyeSnp7OjBkzLPWdnZ3x8vLC3t7eLBs5ciQ9evSgZcuWrFixgqSkJKZMmcKPP/7Iv/71rwK1I1uTJk3MmfX09HQAzpw5w0svvcS7775rCeQzZsygX79+5ueCfBfZv1TcuoWGhtKhQwc8PT3Ner17987R9woVKuDh4VGo/oiIiMiDzf7OVQrv4sWLvPzyyyxduhQ3Nzdef/31fOvbbDbmzZvHd999x8qVK6lSpQpTpkwhPDw83+MGDhyIzWZj69atuLi4mOUNGjSgT58+Zlv69+9PeHg4c+fONev069ePihUrEh4ezldffUWPHj3o3LkznTt3NuvUqlWLAwcOMHv2bCZPnmyWR0dH8+KLL+ZoT2ZmJhEREcybN4/33nsvx/5SpUoRFhZGVFQUjz/+eL59A1i+fDmhoaE4ODgAN2dI3377bX799VdCQ0Np166dpf7UqVPZsGED27dvx9/f3yz38fEhNDTU/AUgL1u3bmX8+PF8+OGHDBkyxCyvUaMGISEhd7Xk4M033yQmJoZBgwaZ4+br62v5N7Fz504OHz5Mly5dzLKCfBdOTk44OTmZdX755RdWr17N/PnzLW0IDw9n8ODB/PTTT9SqVavQfRAREZH/DcUyYzx8+HDWrFnDsmXLiIuLY+3atezYsSPfY9599126d+/O7t27CQsLIyIiwvzTfW7Onj1LbGwsgwYNsoTibNkzy3FxcaSnp+cazrt27Yqfnx9RUVF5XicjI8Mys3ju3DmSkpJo0aJFjrqDBg2iS5cuBAcH53m+Vq1akZCQkOf+W8XExPDkk08CsGXLFvr06cPAgQNJTEwkKCgoR/iOiooiJCTEEopvZbPZ8r3e4sWLcXV1ZeDAgbnuv5v1zKVKlWLRokUsX76cZ599lpUrV7Jw4UJKlSpl1lm/fj1+fn6ULVs233Pd/l3c7rPPPsPZ2Zlu3bpZyqtXr46np2eBx11ERET+NxV5MM7MzGT+/PlMnjyZkJAQGjVqxKJFiyxreXMTGRlJr1698PHxYfz48Vy8eJGtW7fmWf/w4cMYhkHdunXzPe/BgwcBqFevXq7769ata9a53ZEjR5gxYwYvvfSSWXbs2DEMw6By5cqWutHR0ezcuZMJEybk254qVapw/PjxHDeD3S41NZUff/yRsLAwAKZNm0ZoaCgjRozAz8+PwYMHExoamqOvderUsZQ9/fTTuLq64urqSps2bfK95qFDh6hVqxalS5fOtx7cDKnZ5711y029evUYOnQoUVFRvPPOO/j5+Vn2p6Sk5BjP2+X2Xdzu008/5dlnn7XMImerUqUKKSkpd+zXra5cucL58+ctm4iIiDy4ijwYHzlyhKtXr1puJvPw8MgR2G5365pcFxcX3NzczBuocpO9LOBOs6C318+tPLdznDx5ks6dO/PMM89Y1r5evnwZAEdHR7PsxIkTDBkyhM8//9xSnhsnJyeysrK4cuVKvvViYmJo27atOUOanJyc4wa93G7Yu70vs2bNIjExkT59+nDp0qV8r5nXWOTGzc2NxMTEHFtuMjMz+fLLL3F2ds511vby5cv5jlte38WtNm3axL59++jbt2+u+52cnO7Y/9tNmDABd3d3c/P29i7U8SIiInJ/KfJgfKd1rHm5fZbSZrPlO6vq6+uLzWYjOTk53/Nmz07mVW///v34+vpayk6ePElQUBABAQGWdckA5cuXB24uqci2Y8cOzpw5Q/PmzbG3t8fe3p5169Yxffp07O3tLbPlZ8+exdnZOddZzVvduowCCjauvr6+7N+/31JWqVIlfHx8CnSjmZ+fH0eOHOHatWt3rGtnZ4ePj0+OLTfDhw+nTJkybNy4kfj4eD777DPL/vLly1vG81b5fRe3+uSTT2jatCnNmzfPdf/Zs2epUKHCHft1qzfffJOMjAxzO3HiRKGOFxERkftLkQdjHx8fSpcuzebNm82yc+fO5blc4W55eHgQGhrKzJkzuXjxYo792TeKderUCQ8PD6ZMmZKjTkxMDIcOHaJXr15mWWpqKoGBgTRr1owFCxZgZ2cdotq1a1O2bFn27dtnlj322GPs2bPHMnPaokULIiIiSExMtKynTUpKolmzZvn2LTMzkzVr1lhuPqxfv75lTIEcn3v16sWqVavYtWtXvufPy7PPPktmZiazZs3Kdf/d3Hy3atUqPvnkExYuXEiTJk0YP348Q4cO5dSpU2Ydf39/9u/fnyP83+m7yJaZmclXX32V52zx77//zpEjR/Jce50XBwcHypYta9lERETkwVXkwdjV1ZW+ffsyfPhw4uPjSUpKIjIyMs9Q80fMmjWLGzdu0KpVK5YsWcKhQ4dITk5m+vTp5jIDFxcX5syZw/LlyxkwYAC7d+8mJSWF+fPnExkZSbdu3ejevTtwc3YyMDAQb29vJk+ezC+//EJaWhppaWnmNe3s7AgODmbDhg1mmZubGw0bNrRsLi4ulCtXLsczghMSEujUqVO+/YqNjcXX19fyBIXBgwcTGxvLxIkTOXjwIB999FGO5xsPGzaMgIAAOnbsyLRp09i5cydHjx5l5cqVrFixwhLQc/PII4/wxhtv8Nprr/HGG2+wadMmjh07Rnx8PM888wyLFi3K9/jbnT9/nr59+/L666/TunVrsx8NGjSwvBwlKCiIixcvsnfvXrOsIN9Fti+//JLr168TERGRazs2b96Mg4NDns+KFhEREYFieirFpEmTaN++PeHh4QQHB9OuXbs8/8T9R9SsWZOdO3cSFBTEa6+9RsOGDQkJCSE+Pp7Zs2eb9bp168aaNWs4ceIE7du3p06dOnzwwQeMHDmS6Ohoc11tXFwchw8fZvXq1VStWpVKlSqZ260GDBhAdHT0HW+gu11qaiobN26kd+/e+dZbvny5ZRkFQOvWrfnkk0+YMWMGTZs2JS4ujlGjRlnqODo6Eh8fz4gRI1iwYAHt2rUzb3xr27at+eKN/Lz//vt88cUXbNmyhdDQUBo0aMCrr75K48aNeeGFFwrV36FDh+Lu7s67775rltnZ2bFgwQJWr15tLqkoV64cf/nLX1i8eLFZr6DfBdx8rvRf/vIXHn744VzbERUVRUREBM7OzoVqv4iIiPxvsRl3uyj4Hlq7di1BQUGcO3furl+BXJQMw6B169YMHTrUsgzjToYPH05GRkaua2UDAwNp2rQpU6ZMwdPTkxUrVtCqVauibHau1yvMq7mL0549ewgODubw4cO4ubkV2Xl/+eUX6taty/bt26lZs6ZlX2H/XZ0/fx53d3cyMjKKZVnF1FVFu9xI5EEzLMTvzpVERG5TmJ/f99Wb76pWrVqoIFpcbDYbc+fO5fr164U6ztPTk7Fjx1rKsp8dnP20hvT0dIYNG0bLli2LrL15mTVrFq6uruzZs6fYr3UnjRo1YuLEiYV+pNqdHD16lFmzZuUIxQ0aNCjQS1ZERETkf8d9MWN8+fJlUlNTgZtrmL28vEq4RUXnwoULnD59Grj5Ao3sp14Ut9TUVPPRc9WqVcv1ldQPsmPHjplP36hVq1aB1sBrxlikZGnGWETuRmF+fhfLK6GLmpOTU56PArvfubm5FenSgYKqUqXKPb/mn0n16tVLugkiIiLyJ3NfLaUQERERESkuCsYiIiIiIigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAGBf0g0QkZuGhfiVdBNERET+p2nGWEREREQEBWMREREREUDBWEREREQEUDAWEREREQEUjEVEREREAAVjERERERFAwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRERERARQMBYRERERARSMRUREREQAsC/pBoiIiBTE1FUHS7oJIn8qw0L8SroJDxzNGIuIiIiIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAhwD4NxYGAgQ4cOBaBGjRp8+OGHBT527dq12Gw2bDYbTz31VLG0r7BGjx7NgAEDCnVMy5YtWbp0qaVs4cKFZt+yx6egFi5cyEMPPVSoY7IFBgaa101MTLyrcxSl1atXU7duXbKysor0vN26deODDz6wlP0Z/z2JiIhIybuvZowPHDjAwoULLWVpaWm88sor1KpVCwcHB7y9venatSvx8fGWehs3biQsLIyHH34YR0dHGjVqxJQpU7hx44ZZJyUlhb59+1KzZk2cnJyoXbs2Y8aM4erVq5ZznT59mmnTpvHWW2/l2s4JEybkGnRHjx7NiBEjLOGvR48enDp1ioCAgFzPVbNmTWJjY+80NKarV68yadIkmjVrhouLC+7u7jRp0oRRo0Zx8uRJS93+/ftz6tQpGjZsaClfsmQJgYGBuLu74+rqSuPGjfm///s/zp49a9a5fPkyY8aMoU6dOjg4OFC+fHm6devG3r17zTpvvPEGNWrU4MKFC5bzd+3alfbt21vG4Y033mDkyJHY2d38J7l06VJCQkKoUKECZcuWJSAggJUrV1rOs3TpUlq0aMFDDz2Ei4sLTZs25V//+pelzttvv824ceM4f/68WdamTRtOnTpF9+7dCzyuIiIi8uC7r4Kxp6enZYY0JSWF5s2bs3r1aiZOnMiePXuIjY0lKCiIQYMGmfWWLVtGhw4dqFq1KmvWrGH//v0MGTKEcePG0bNnTwzDAGD//v1kZWUxZ84c9u7dy9SpU/n4449zBOD58+cTEBBAjRo1crRx27ZtzJ07l8aNG+fY16VLFzIyMiwBz8nJCS8vL8qUKZOj/u7du0lPTycoKKhA43PlyhVCQkIYP348kZGRrF+/nh07djBx4kTS09OZMWOGpb6zszNeXl7Y29ubZSNHjqRHjx60bNmSFStWkJSUxJQpU/jxxx/N0HnlyhWCg4P59NNPGTt2LAcPHuT777/nxo0bPPLII2zevBmAsWPH4urqyquvvmqe/9NPP2XNmjUsWLDADMEbN27k0KFDPPPMM2a99evXExISwvfff8+OHTsICgqia9eu7Nq1y6zj4eHByJEj2bRpE7t376Z379707t3bMr6NGzemRo0aLF682CwrU6YMXl5eODk5FWhcRURE5H+D/Z2rFN7Fixd5+eWXWbp0KW5ubrz++uv51rfZbMybN4/vvvuOlStXUqVKFaZMmUJ4eHi+xw0cOBCbzcbWrVtxcXExyxs0aECfPn3MtvTv35/w8HDmzp1r1unXrx8VK1YkPDycr776ih49etC5c2c6d+5s1qlVqxYHDhxg9uzZTJ482SyPjo7mxRdfzNGezMxMIiIimDdvHu+9916O/aVKlSIsLIyoqCgef/zxfPsGsHz5ckJDQ3FwcABuLp14++23+fXXXwkNDaVdu3aW+lOnTmXDhg1s374df39/s9zHx4fQ0FDzF4C8bN26lfHjx/Phhx8yZMgQs7xGjRqEhITw22+/AfDhhx+yadMmdu3aRZMmTQCoXr06S5Ys4ZFHHqFv374kJSXh4ODAokWLCAgI4K9//Sv169dn2LBhTJw4kdq1a5vnj46OplOnTjg6Opplty+1GT9+PMuXL+c///mP2bfAwEBLnSFDhrBo0SI2bNhAaGioWR4eHk5UVBQvv/xyvv0XERGR/23FMmM8fPhw1qxZw7Jly4iLi2Pt2rXs2LEj32Peffddunfvzu7duwkLCyMiIsLyp/vbnT17ltjYWAYNGmQJxdmyZ5bj4uJIT0/PNZx37doVPz8/oqKi8rxORkYGHh4e5udz586RlJREixYtctQdNGgQXbp0ITg4OM/ztWrVioSEhDz33yomJoYnn3wSgC1bttCnTx8GDhxIYmIiQUFBOcJ3VFQUISEhllB8K5vNlu/1Fi9ejKurKwMHDsx1f/aYfvHFF4SEhJihOJudnR3Dhg1j3759/PjjjwA0b96cN998k379+vHcc8/RsmXLHAF1/fr1uY7nrbKysrhw4YLlu7iVYRjEx8dz4MAB2rdvb9nXqlUrtm7dypUrV/K9hoiIiPxvK/JgnJmZyfz585k8eTIhISE0atSIRYsWWdby5iYyMpJevXrh4+PD+PHjuXjxIlu3bs2z/uHDhzEMg7p16+Z73oMHDwJQr169XPfXrVvXrHO7I0eOMGPGDF566SWz7NixYxiGQeXKlS11o6Oj2blzJxMmTMi3PVWqVOH48eN3vMksNTWVH3/8kbCwMACmTZtGaGgoI0aMwM/Pj8GDB1tmRbP7WqdOHUvZ008/jaurK66urrRp0ybfax46dIhatWpRunTpfOsdPHgwz/HMLr91TEeNGoWdnR1btmzh008/zRHQU1JScozn7aZMmcLFixdzrAvOyMjA1dWVMmXK0KVLF2bMmEFISIilTpUqVbhy5QppaWn5XuN2V65c4fz585ZNREREHlxFHoyPHDnC1atXLTeTeXh45Ahst7t1Ta6Liwtubm6cOXMmz/rZywLuNAt6e/3cynM7x8mTJ+ncuTPPPPMM/fr1M8svX74MYPmz/4kTJxgyZAiff/65pTw3Tk5OZGVl3XH2MiYmhrZt25ozpMnJyTlu0Mvthr3b+zJr1iwSExPp06cPly5dyveaeY1FYeT2vaxatYpTp05hGAbbtm3Lcczly5fzHbeoqCjeeecdvvzySzw9PS373NzcSExMZNu2bYwbN45XX32VtWvXWupkryW+U/9vN2HCBNzd3c3N29u7UMeLiIjI/aXIg/Gd1rHm5fZZSpvNlu+sqq+vLzabjeTk5HzP6+fnB5Bnvf379+Pr62spO3nyJEFBQQQEBFjWJQOUL18euLmkItuOHTs4c+YMzZs3x97eHnt7e9atW8f06dOxt7e3zJafPXsWZ2fnO974desyCijYuPr6+rJ//35LWaVKlfDx8clzCcKt/Pz8OHLkCNeuXbtjvX379uW6L/v62WN67tw5+vfvz1tvvcXo0aMZOHAgv/76q+WY8uXLW8bzVl9++SV9+/blq6++ynWJip2dHT4+PjRt2pTXXnuNbt265Zi1z16SU6FChXz7dbs333yTjIwMcztx4kShjhcREZH7S5EHYx8fH0qXLm0+mQBuhqO8livcLQ8PD0JDQ5k5cyYXL17MsT/7RrFOnTrh4eHBlClTctSJiYnh0KFD9OrVyyxLTU0lMDCQZs2aWZ6ckK127dqULVvWEgwfe+wx9uzZQ2Jiorm1aNGCiIgIEhMTKVWqlFk3KSmJZs2a5du3zMxM1qxZY7n5sH79+pYxBXJ87tWrF6tWrbI8uaEwnn32WTIzM5k1a1au+7PHtGfPnvzwww/mOuJsWVlZTJ06lfr165vrj1955RU8PT0ZNWoUI0aMwNvbm7///e+W4/z9/XMN2lFRUURGRvLFF1/QpUuXAvXBMIwcs/FJSUlUrVrV/KWmoBwcHChbtqxlExERkQdXkQdjV1dX+vbty/Dhw4mPjycpKYnIyMgcAbMozJo1ixs3btCqVSuWLFnCoUOHSE5OZvr06eYyAxcXF+bMmcPy5csZMGAAu3fvJiUlhfnz5xMZGUm3bt3MdasnT54kMDAQb29vJk+ezC+//EJaWpplbaqdnR3BwcFs2LDBLHNzc6Nhw4aWzcXFhXLlyuV4RnBCQgKdOnXKt1+xsbH4+vpSq1Yts2zw4MHExsYyceJEDh48yEcffZTj+cbDhg0jICCAjh07Mm3aNHbu3MnRo0dZuXIlK1assAT03DzyyCO88cYbvPbaa7zxxhts2rSJY8eOER8fzzPPPMOiRYvM67Rq1YquXbvy73//m+PHj7Nt2zb++te/kpyczPz587HZbCxbtox///vfLFq0iNKlS2Nvb8/ChQtZtmwZS5YsMa8bGhpqGU+4GYqff/55pkyZQuvWrc3vISMjw6wzYcIEVq1axU8//cT+/fv54IMP+Oyzz/jb3/5W6DEXERERKZanUkyaNIn27dsTHh5OcHAw7dq1o3nz5kV+nZo1a7Jz506CgoJ47bXXaNiwISEhIcTHxzN79myzXrdu3VizZg0nTpygffv21KlThw8++ICRI0cSHR1troeNi4vj8OHDrF69mqpVq1KpUiVzu9WAAQOIjo4u9FvaUlNT2bhxI71798633vLlyy3LKABat27NJ598wowZM2jatClxcXGMGjXKUsfR0ZH4+HhGjBjBggULaNeuHfXq1WPo0KG0bduWb7755o5tfP/99/niiy/YsmULoaGhNGjQgFdffZXGjRvzwgsvmNdZvXo1L7zwAm+99RY+Pj507tyZUqVKsXnzZlq3bs2vv/7KSy+9xJgxYyzrxxs2bMiYMWMsSyr+9re/sW/fPg4cOGDWmzNnDtevX2fQoEGW7+HWx8hdvHiRgQMH0qBBA9q0acPXX3/N559/blkT/vvvv7Ns2TL69+9/x76LiIjI/zabcbeLgu+htWvXEhQUxLlz5+76FchFyTAMWrduzdChQy3LMO5k+PDhZGRk5Fi3DDefydu0aVOmTJmCp6cnK1asoFWrVkXZ7FyvV5hXcxenN954g4yMDObMmVOk5505cybLly8nLi4ux77IyEh+++23Av3CAHD+/Hnc3d3JyMjQsgqREjB1VdEuyRO53w0L8SvpJtwXCvPz+756813VqlULFUSLi81mY+7cuVy/fr1Qx3l6ejJ27FhLWfazg7OfbZyens6wYcNo2bJlkbU3L7NmzcLV1ZU9e/YU+7XuZOTIkVSvXv2Oj/UrrNKlS+d4419CQgKurq6Wt+GJiIiI3BczxpcvXyY1NRW4uYbZy8urhFtUdC5cuMDp06eBmy/QKOwNYncrNTXVfPRctWrVcn0l9YPqbv89acZYpGRpxljESjPGBVOYn9/F8krooubk5ISPj09JN6NYuLm54ebmds+vW6VKlXt+zT+LB/nfk4iIiNy9+2ophYiIiIhIcVEwFhERERFBwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRERERARQMBYRERERARSMRUREREQABWMREREREUDBWEREREQEUDAWEREREQEUjEVEREREAAVjERERERFAwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRERERAQA+5JugIiISEEMC/Er6SaIyANOM8YiIiIiIigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAoB9STdARO7O1FUHS7oJIvfUsBC/km6CiDzgNGMsIiIiIoKCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIiQBEF48DAQIYOHQpAjRo1+PDDDwt87Nq1a7HZbNhsNp566qmiaM4fNnr0aAYMGFCoY1q2bMnSpUstZQsXLjT7lj0+BbVw4UIeeuihQh2TLTAw0LxuYmLiXZ2jJLRv354vvviiSM+5Z88eqlatysWLFy3l9+sYiYiISPH508wYHzhwgIULF1rK0tLSeOWVV6hVqxYODg54e3vTtWtX4uPjLfU2btxIWFgYDz/8MI6OjjRq1IgpU6Zw48YNs05KSgp9+/alZs2aODk5Ubt2bcaMGcPVq1ct5zp9+jTTpk3jrbfeyrWdEyZMyDXojh49mhEjRpCVlWWW9ejRg1OnThEQEJDruWrWrElsbOydhsZ09epVJk2aRLNmzXBxccHd3Z0mTZowatQoTp48aanbv39/Tp06RcOGDc3+5xUCb/3F5tq1a/zjH/+gUaNGuLi4ULlyZZ5//vkc54c7j/vJkyfx8PBg+vTpluO2bNlC6dKlWbVqlVn27bffkpaWRs+ePc2yF198kdq1a+Pk5ESFChV48skn2b9/v+Vc48aNo02bNjg7O+f6i0SjRo1o1aoVU6dOtZQvXbqUrVu35qgvIiIi/7v+NMHY09PTEmxSUlJo3rw5q1evZuLEiezZs4fY2FiCgoIYNGiQWW/ZsmV06NCBqlWrsmbNGvbv38+QIUMYN24cPXv2xDAMAPbv309WVhZz5sxh7969TJ06lY8//jhHAJ4/fz4BAQHUqFEjRxu3bdvG3Llzady4cY59Xbp0ISMjg5UrV5plTk5OeHl5UaZMmRz1d+/eTXp6OkFBQQUanytXrhASEsL48eOJjIxk/fr17Nixg4kTJ5Kens6MGTMs9Z2dnfHy8sLe3r5A58926dIldu7cyejRo9m5cydLly7l4MGDhIeHW+oVZNwrV67M9OnTefPNNzl06BAAly9f5oUXXqBfv36EhISY55s+fTq9e/fGzu7//yfZvHlzFixYQHJyMitXrsQwDDp16mT5hefq1as888wzvPzyy3n2qXfv3syePdtynIeHBxUqVCjU2IiIiMiDrXCpCbh48SIvv/wyS5cuxc3Njddffz3f+jabjXnz5vHdd9+xcuVKqlSpwpQpU3IErdsNHDgQm83G1q1bcXFxMcsbNGhAnz59zLb079+f8PBw5s6da9bp168fFStWJDw8nK+++ooePXrQuXNnOnfubNapVasWBw4cYPbs2UyePNksj46O5sUXX8zRnszMTCIiIpg3bx7vvfdejv2lSpUiLCyMqKgoHn/88Xz7BrB8+XJCQ0NxcHAAbi6dePvtt/n1118JDQ2lXbt2lvpTp05lw4YNbN++HX9/f7Pcx8eH0NBQ8xeAP8rd3d0ykwswY8YMWrVqxfHjx6lWrVqhxv1vf/sbS5cuJTIykoSEBN58801z5jvbr7/+yg8//JBjVvfW5Sw1atTgvffeo0mTJqSkpFC7dm0A3n33XYAcf224VWhoKOnp6axbt46OHTve9diIiIjIg63QM8bDhw9nzZo1LFu2jLi4ONauXcuOHTvyPebdd9+le/fu7N69m7CwMCIiIjh79mye9c+ePUtsbCyDBg2yhOJs2TPLcXFxpKen5xrOu3btip+fH1FRUXleJyMjAw8PD/PzuXPnSEpKokWLFjnqDho0iC5duhAcHJzn+Vq1akVCQkKe+28VExPDk08+CdxcWtCnTx8GDhxIYmIiQUFBOcJ3VFQUISEhllB8K5vNVqDr3o2MjAxsNttdj/vHH3/MoUOHiIiI4KOPPmLhwoW4urqa+zds2ICzszP16tXLsw0XL15kwYIF1KxZE29v70K1v0yZMjRp0qTA342IiIj8bypUMM7MzGT+/PlMnjyZkJAQGjVqxKJFiyx/os5NZGQkvXr1wsfHh/Hjx3Px4sV813cePnwYwzCoW7duvuc9ePAgQJ6Bqm7dumad2x05coQZM2bw0ksvmWXHjh0zlwDcKjo6mp07dzJhwoR821OlShWOHz9uWWecm9TUVH788UfCwsIAmDZtGqGhoYwYMQI/Pz8GDx5MaGhojr7WqVPHUvb000/j6uqKq6srbdq0yfea2dq0aWMek73lFxh///13RowYwbPPPkvZsmXNtkDBx93T05OxY8cSHR3NgAEDaN++vaV+SkoKFStWtCyjyDZr1iyznbGxsaxatSrXpSl3UqVKFVJSUgp1zJUrVzh//rxlExERkQdXoYLxkSNHuHr1quVmMg8PjxyB7Xa3rsl1cXHBzc2NM2fO5Fk/e1lAQWdB81pGYBhGruc4efIknTt35plnnqFfv35m+eXLlwFwdHQ0y06cOMGQIUP4/PPPLeW5cXJyIisriytXruRbLyYmhrZt25qz1cnJyTlu0Mvthr3b+zJr1iwSExPp06cPly5dyvea2b788ksSExMtW24z5HDzRryePXuSlZXFrFmzcuwv6LjfuHGDRYsW4ezszObNm7l+/bql/uXLl/Mc24iICHbt2sW6devw9fWle/fu/P777wXq662cnJwKPEbZJkyYgLu7u7kVdqZaRERE7i+FCsZ3u461dOnSls82my3fWVVfX19sNhvJycn5ntfPzw8gz3r79+/H19fXUnby5EmCgoIICAiwrI8FKF++PHBzSUW2HTt2cObMGZo3b469vT329vasW7eO6dOnY29vb5ktP3v2LM7Ozjg5OeXb7luXUUDBxtXX1zfHExkqVaqEj4+PZTnInXh7e+Pj42PZcmvvtWvX6N69O0ePHmXVqlXmbDEUftwnT57MoUOH2LZtGydPnmT8+PGW+uXLl7eM+a3c3d3x9fWlffv2fP311+zfv59ly5YVuL/Zzp49W+ib7d58800yMjLM7cSJE4W+roiIiNw/ChWMfXx8KF26NJs3bzbLzp07l+dyhbvl4eFBaGgoM2fOzPH8WYDffvsNgE6dOuHh4cGUKVNy1ImJieHQoUP06tXLLEtNTSUwMJBmzZqxYMGCHH+6r127NmXLlmXfvn1m2WOPPcaePXtyzLBGRESQmJhIqVKlzLpJSUk0a9Ys375lZmayZs0ay82H9evXt4wpkONzr169WLVqFbt27cr3/EUhOxQfOnSIH374gXLlyln2F2bc9+7dy5gxY5g9ezb169fn448/5r333mP37t3mMf7+/qSlpeUZjm9lGMYdZ+Rzk5SUlOf67Lw4ODhQtmxZyyYiIiIPrkIFY1dXV/r27cvw4cOJj48nKSmJyMjIXNeG/lGzZs3ixo0btGrViiVLlnDo0CGSk5OZPn26uczAxcWFOXPmsHz5cgYMGMDu3btJSUlh/vz5REZG0q1bN7p37w7cnCkODAzE29ubyZMn88svv5CWlkZaWpp5TTs7O4KDg9mwYYNZ5ubmRsOGDS2bi4sL5cqVM58RnC0hIYFOnTrl26/Y2Fh8fX2pVauWWTZ48GBiY2OZOHEiBw8e5KOPPsrxfONhw4YREBBAx44dmTZtGjt37uTo0aOsXLmSFStWWAL6H3H9+nW6devG9u3bWbx4MTdu3DDHKfuZzwUd9+vXr/PCCy/w9NNP061bNwCeeuopnnnmGSIjI80lFf7+/lSoUIH//ve/Zjt++uknJkyYwI4dOzh+/DibNm2ie/fuODk5mWuzAY4fP05iYiLHjx/nxo0b5i8vmZmZZp2UlBRSU1PzvXFSREREpNCJdtKkSbRv357w8HCCg4Np164dzZs3L/KG1axZk507dxIUFMRrr71Gw4YNCQkJIT4+ntmzZ5v1unXrxpo1azhx4gTt27enTp06fPDBB4wcOZLo6GhzrWtcXByHDx9m9erVVK1alUqVKpnbrQYMGEB0dPQdb6C7XWpqKhs3bqR379751lu+fLllGQVA69at+eSTT5gxYwZNmzYlLi6OUaNGWeo4OjoSHx/PiBEjWLBgAe3ataNevXoMHTqUtm3b8s033xSqvXn5+eefiYmJ4eeff6Zp06aWcdq4caNZryDjPn78eFJTU/noo48s15gxYwanTp0yl1SUKlWKPn36sHjxYkt/ExISCAsLw8fHh+7du+Pi4sLGjRvx9PQ067399tv4+/szZswYMjMz8ff3x9/fn+3bt5t1oqKi6NSpE9WrVy+SMRIREZEHk80oqgfg3qW1a9cSFBTEuXPn7voVyEXJMAxat27N0KFDLcsw7mT48OFkZGTkWLcMN98s17RpU6ZMmYKnpycrVqygVatWRdnsXK9XmFdzl7TTp0/ToEEDduzYUaQB9sqVK/j6+hIVFUXbtm0t+1JSUqhZsya7du2iadOmdzzX+fPncXd3JyMj40+xrGLqqqJdwiTyZzcsxK+kmyAi96HC/Pz+07z5rmrVqoUKosXFZrMxd+7cHE9OuJPsR5LdavHixZbHoaWnpzNs2DBatmxZZO3NS/Zjzvbs2VPs1yoKFStWZP78+Rw/frxIz3vs2DFGjhyZIxQ//vjjNGjQoEivJSIiIve3Ep8xvnz5MqmpqcDNNcxeXl4l2ZwideHCBU6fPg3cfClJ9lMviltqaqr56Llq1ard1XN/H3R3M0aaMRYpWZoxFpG7UZif34V+JXRRc3JywsfHp6SbUSzc3Nxwc3O759etUqXKPb/m/UZjJCIiIrf70yylEBEREREpSQrGIiIiIiIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiABgX9INEJG7MyzEr6SbICIi8kDRjLGIiIiICArGIiIiIiKAgrGIiIiICKBgLCIiIiICKBiLiIiIiAAKxiIiIiIigIKxiIiIiAigYCwiIiIiAigYi4iIiIgACsYiIiIiIoCCsYiIiIgIoGAsIiIiIgIoGIuIiIiIAArGIiIiIiKAgrGIiIiICAD2Jd0AkfuFYRgAnD9/voRbIiIiIgWV/XM7++d4fhSMRQrowoULAHh7e5dwS0RERKSwLly4gLu7e751bEZB4rOIkJWVxYEDB6hfvz4nTpygbNmyJd2kInf+/Hm8vb3Vv/vQg9w3UP/ud+rf/e1+759hGFy4cIHKlStjZ5f/KmLNGIsUkJ2dHVWqVAGgbNmy9+V/HApK/bt/Pch9A/Xvfqf+3d/u5/7daaY4m26+ExERERFBwVhEREREBFAwFikUBwcHxowZg4ODQ0k3pViof/evB7lvoP7d79S/+9uD3r9b6eY7ERERERE0YywiIiIiAigYi4iIiIgACsYiIiIiIoCCsYjFuXPneO6553B3d8fd3Z3nnnuO3377Ld9jDMPgnXfeoXLlyjg5OREYGMjevXstddLS0njuuefw8vLCxcWFZs2a8fXXXxdjT3JXXP0D2LRpEx07dsTFxYWHHnqIwMBALl++XEw9yV1x9i+77uOPP47NZuObb74p+g7cQXH07+zZs7zyyivUqVMHZ2dnqlWrxuDBg8nIyCjm3sCsWbOoWbMmjo6ONG/enISEhHzrr1u3jubNm+Po6EitWrX4+OOPc9RZsmQJ9evXx8HBgfr167Ns2bLiav4dFXX/5s2bx6OPPsrDDz/Mww8/THBwMFu3bi3OLuSpOL67bNHR0dhsNp566qkibnXBFUf/fvvtNwYNGkSlSpVwdHSkXr16fP/998XVhXwVR/8+/PBD6tSpg5OTE97e3gwbNozff/+9uLpQfAwRMXXu3Nlo2LChsXHjRmPjxo1Gw4YNjSeeeCLfY/75z38abm5uxpIlS4w9e/YYPXr0MCpVqmScP3/erBMcHGy0bNnS2LJli3HkyBFj7Nixhp2dnbFz587i7pJFcfVv48aNRtmyZY0JEyYYSUlJxsGDB41///vfxu+//17cXbIorv5l++CDD4zHH3/cAIxly5YVUy/yVhz927Nnj/GXv/zFiImJMQ4fPmzEx8cbvr6+xl//+tdi7Ut0dLRRunRpY968eca+ffuMIUOGGC4uLsaxY8dyrf/TTz8Zzs7OxpAhQ4x9+/YZ8+bNM0qXLm18/fXXZp2NGzcapUqVMsaPH28kJycb48ePN+zt7Y3NmzcXa19yUxz9e/bZZ42ZM2cau3btMpKTk43evXsb7u7uxs8//3yvumUYRvH0LVtKSopRpUoV49FHHzWefPLJYu5J7oqjf1euXDFatGhhhIWFGRs2bDBSUlKMhIQEIzEx8V51y1Qc/fv8888NBwcHY/HixcbRo0eNlStXGpUqVTKGDh16r7pVZBSMRf6fffv2GYDlh+imTZsMwNi/f3+ux2RlZRleXl7GP//5T7Ps999/N9zd3Y2PP/7YLHNxcTE+++wzy7EeHh7GJ598UsS9yFtx9u+RRx4xRo0aVXyNL4Di7J9hGEZiYqJRtWpV49SpUyUSjIu7f7f66quvjDJlyhjXrl0rug7cplWrVsZLL71kKatbt64xYsSIXOu/8cYbRt26dS1lL774otG6dWvzc/fu3Y3OnTtb6oSGhho9e/YsolYXXHH073bXr1833NzcjEWLFv3xBhdCcfXt+vXrRtu2bY1PPvnEeOGFF0osGBdH/2bPnm3UqlXLuHr1atE3uJCKo3+DBg0yOnbsaKnz6quvGu3atSuiVt87Wkoh8v9s2rQJd3d3HnnkEbOsdevWuLu7s3HjxlyPOXr0KGlpaXTq1Mksc3BwoEOHDpZj2rVrx5dffsnZs2fJysoiOjqaK1euEBgYWGz9uV1x9e/MmTNs2bIFT09P2rRpQ8WKFenQoQMbNmwo3g7dpji/v0uXLtGrVy8++ugjvLy8iq8T+SjO/t0uIyODsmXLYm9vX3QduMXVq1fZsWOHpV0AnTp1yrNdmzZtylE/NDSU7du3c+3atXzr5NfX4lBc/bvdpUuXuHbtGh4eHkXT8AIozr793//9HxUqVKBv375F3/ACKq7+xcTEEBAQwKBBg6hYsSINGzZk/Pjx3Lhxo3g6kofi6l+7du3YsWOHubTnp59+4vvvv6dLly7F0IvipWAs8v+kpaXh6emZo9zT05O0tLQ8jwGoWLGipbxixYqWY7788kuuX79OuXLlcHBw4MUXX2TZsmXUrl27CHuQv+Lq308//QTAO++8Q//+/YmNjaVZs2Y89thjHDp0qCi7kK/i/P6GDRtGmzZtePLJJ4uwxYVTnP27VXp6OmPHjuXFF1/8gy3O26+//sqNGzcK1a60tLRc61+/fp1ff/013zp5nbO4FFf/bjdixAiqVKlCcHBw0TS8AIqrb//973+ZP38+8+bNK56GF1Bx9e+nn37i66+/5saNG3z//feMGjWKKVOmMG7cuOLpSB6Kq389e/Zk7NixtGvXjtKlS1O7dm2CgoIYMWJE8XSkGCkYywPvnXfewWaz5btt374dAJvNluN4wzByLb/V7ftvP2bUqFGcO3eOH374ge3bt/Pqq6/yzDPPsGfPnvu+f1lZWQC8+OKL9O7dG39/f6ZOnUqdOnX49NNP7/v+xcTEsHr1aj788MM/3JfclHT/bnX+/Hm6dOlC/fr1GTNmzB/oVcEUtF351b+9vLDnLE7F0b9sEydOJCoqiqVLl+Lo6FgErS2couzbhQsX+Nvf/sa8efMoX7580Tf2LhT1d5eVlYWnpydz586lefPm9OzZk5EjRzJ79uwibnnBFHX/1q5dy7hx45g1axY7d+5k6dKlfPvtt4wdO7aIW178iufvZCJ/In//+9/p2bNnvnVq1KjB7t27OX36dI59v/zyS47flrNl/1k9LS2NSpUqmeVnzpwxjzly5AgfffQRSUlJNGjQAIAmTZqQkJDAzJkz8707uyBKun/Z5fXr17ccW69ePY4fP17wjuShpPu3evVqjhw5wkMPPWQ59q9//SuPPvooa9euLURvcirp/mW7cOECnTt3xtXVlWXLllG6dOnCdqXAypcvT6lSpXLMUOXWrmxeXl651re3t6dcuXL51snrnMWluPqXbfLkyYwfP54ffviBxo0bF23j76A4+rZ3715SUlLo2rWruT/7F257e3sOHDhwz/66VlzfXaVKlShdujSlSpUy69SrV4+0tDSuXr1KmTJlirgnuSuu/o0ePZrnnnuOfv36AdCoUSMuXrzIgAEDGDlyJHZ298887P3TUpG7VL58eerWrZvv5ujoSEBAABkZGZbHH23ZsoWMjAzatGmT67lr1qyJl5cXq1atMsuuXr3KunXrzGMuXboEkOM/DKVKlTL/438/969GjRpUrlyZAwcOWI49ePAg1atXv+/7N2LECHbv3k1iYqK5AUydOpUFCxbc9/2DmzPFnTp1okyZMsTExBT7DGSZMmVo3ry5pV0Aq1atyrMvAQEBOerHxcXRokULM8TnVSevcxaX4uofwKRJkxg7diyxsbG0aNGi6Bt/B8XRt7p167Jnzx7L/8fCw8MJCgoiMTERb2/vYuvP7Yrru2vbti2HDx+2/Df/4MGDVKpU6Z6FYii+/l26dCnXn3HGzYc8FGEP7oF7equfyJ9c586djcaNGxubNm0yNm3aZDRq1CjH47Dq1KljLF261Pz8z3/+03B3dzeWLl1q7Nmzx+jVq5flcVhXr141fHx8jEcffdTYsmWLcfjwYWPy5MmGzWYzvvvuu/u+f4ZhGFOnTjXKli1r/Pvf/zYOHTpkjBo1ynB0dDQOHz58z/pmGMXXv9tRgo9rK+r+nT9/3njkkUeMRo0aGYcPHzZOnTplbtevXy+2vmQ/Mmr+/PnGvn37jKFDhxouLi5GSkqKYRiGMWLECOO5554z62c/MmrYsGHGvn37jPnz5+d4ZNR///tfo1SpUsY///lPIzk52fjnP/9Z4o9rK8r+vf/++0aZMmWMr7/+2vI9Xbhw4b7v2+1K8qkUxdG/48ePG66ursbf//5348CBA8a3335reHp6Gu+9994D0b8xY8YYbm5uRlRUlPHTTz8ZcXFxRu3atY3u3bvf8/79UQrGIrdIT083IiIiDDc3N8PNzc2IiIgwzp07Z6kDGAsWLDA/Z2VlGWPGjDG8vLwMBwcHo3379saePXssxxw8eND4y1/+Ynh6ehrOzs5G48aNczy+7V4orv4ZhmFMmDDBqFq1quHs7GwEBAQYCQkJxdybnIqzf7efoySCcXH0b82aNQaQ63b06NFi7c/MmTON6tWrG2XKlDGaNWtmrFu3ztz3wgsvGB06dLDUX7t2reHv72+UKVPGqFGjhjF79uwc5/z3v/9t1KlTxyhdurRRt25dY8mSJcXah/wUdf+qV6+e6/c0ZsyYe9Abq+L47m5VksHYMIqnfxs3bjQeeeQRw8HBwahVq5Yxbty4Yv3lMz9F3b9r164Z77zzjlG7dm3D0dHR8Pb2NgYOHJjjv0/3A5th3G9z3CIiIiIiRU9rjEVEREREUDAWEREREQEUjEVEREREAAVjERERERFAwVhEREREBFAwFhEREREBFIxFRERERAAFYxERERERQMFYRORPKzAwkKFDh5qfa9SowYcffljo84wePZoBAwYUqO6ZM2eoUKECqamphb5OSkoKNpuNxMTEu75+YdhsNr755hug4O1euHAhNpsNm81mGVuAAwcO4OXlxYULF8y6Dz30UJG3+1a39uFeeuedd2jatKn5+fXXX2fw4MF51r98+TLt2rXDZrMxderUIm1LYGCg+Z3c/m9H5F5TMBYReYCdPn2aadOm8dZbbxWovqenJ8899xxjxozJdX9kZCQjRoz4w9dPS0tjyJAh+Pj44OjoSMWKFWnXrh0ff/wxly5dKtC5T506xeOPP16gdt+qbNmynDp1irFjx1rKR44cyaBBg3Bzcytg74rH5cuXcXZ2Zv/+/ffsmm+88QYLFizg6NGjOfZdv36dbt268euvvzJ9+nRGjBjBZ599VqDzrl+/nq5du1K5cuU8fwlYunQpW7du/aNdECkSCsYiIg+w+fPnExAQQI0aNQp8TO/evVm8eDHnzp2zlGdlZfHdd9/x5JNP/qHr//TTT/j7+xMXF8f48ePZtWsXP/zwA8OGDeM///kPP/zwQ4HO7eXlhYODwx3bfTubzYaXl5clAP/888/ExMTQu3fvAvetuKxatQpvb2/q1q17z67p6elJp06d+Pjjjy3lhmEQGRlJamoq69ev55VXXuHf//43AwcO5D//+c8dz3vx4kWaNGnCRx99lGcdDw8PKlSo8If7IFIUFIxFRP4ELl68yPPPP4+rqyuVKlViypQpdzzGZrPxySef8PTTT+Ps7Iyvry8xMTGWOtHR0YSHh1vKsrKyeP/99/Hx8cHBwYFq1aoxbtw4c3+jRo3w8vJi2bJlluP++9//YmdnxyOPPALA1q1b8ff3x9HRkRYtWrBr164cbczt+gMHDsTe3p7t27fTvXt36tWrR6NGjfjrX//Kd999R9euXe/Y9+z+3zoDmVe7C+Krr76iSZMmVK1aNc866enptGrVivDwcH7//XcA9u7dS5cuXShbtixubm48+uijHDlyBIBt27YREhJC+fLlcXd3p0OHDuzcufOObVm+fLk5ZtlLHj799FOqVauGq6srL7/8Mjdu3GDixIl4eXnh6elp+f4Ajh8/zpNPPomrqytly5ale/funD59Ot/rhoeHExUVZSkbMmQIhw4dYs2aNXh6epr1li1bRu/evVm/fn2+53z88cd57733+Mtf/nLHfov8GSgYi4j8CQwfPpw1a9awbNky4uLiWLt2LTt27Ljjce+++y7du3dn9+7dhIWFERERwdmzZwE4d+4cSUlJtGjRwnLMm2++yfvvv8/o0aPZt28fX3zxBRUrVrTUadWqFQkJCZaymJgYunbtip2dHRcvXuSJJ56gTp067Nixg3feeYfXX3/dUj+366enpxMXF8egQYNwcXHJtU82m+2O/c5Lbu0uiPXr1+cYp1v9/PPPPProo9StW5elS5fi6OhIamoq7du3x9HRkdWrV7Njxw769OnD9evXAbhw4QIvvPACCQkJbN68GV9fX8LCwsw1zLnJysri22+/tczKHzlyhBUrVhAbG0tUVBSffvopXbp04eeff2bdunW8//77jBo1is2bNwM3Z3mfeuopzp49y7p161i1ahVHjhyhR48e+Y5Bq1atOHHiBMeOHTPLpk+fzpYtW3j44YctdUNCQvj1119p3759vucUud/Yl3QDRET+12VmZjJ//nw+++wzQkJCAFi0aFG+s5fZIiMj6dWrFwDjx49nxowZbN26lc6dO3Ps2DEMw6By5cpm/QsXLjBt2jQ++ugjXnjhBQBq165Nu3btLOetUqVKjhngmJgYJk+eDMDixYu5ceMGn376Kc7OzjRo0ICff/6Zl19+2ayf2/UPHz6MYRjUqVPHcu7y5cubs7CDBg3i/fffv2Pfc5NbuwsiJSWF5s2b57rv4MGDhISE8OSTTzJt2jQzuM+cORN3d3eio6MpXbo0AH5+fuZxHTt2tJxnzpw5PPzww6xbt44nnngi12tt3ryZrKws2rRpY5ZlZWXx6aef4ubmRv369QkKCuLAgQN8//332NnZUadOHd5//33Wrl1L69at+eGHH9i9ezdHjx7F29sbgH/96180aNCAbdu20bJly1yvXaVKFXMsqlevXpBhE3ngaMZYRKSEHTlyhKtXrxIQEGCWeXh45AiPuWncuLH5v11cXHBzc+PMmTPAzZu4ABwdHc06ycnJXLlyhcceeyzf8zo5OVlugktOTubnn38mODjY/NykSROcnZ3NOre2P6/rZ7t9Vnjr1q0kJibSoEEDrly5km/bCtPugrp8+XKu7cx+GsNTTz3F9OnTLe1OTEzk0UcfNUPx7c6cOcNLL72En58f7u7uuLu7k5mZyfHjx/Nsx/Lly3niiSews/v/fzzXqFHDsh66YsWK1K9f31KnYsWK5veenJyMt7e3GYoB6tevz0MPPURycnKe13ZycgK4q/FLSEjA1dXV3BYvXlzoc4j8GWjGWESkhBmGcdfH3h7KbDYbWVlZwM1ZWLi5pCH75qbs8HMnZ8+etdwQFRMTQ0hIiHl8Qdqc2/V9fHyw2Ww5nrhQq1atQrWvoO0uqPLly+d6056DgwPBwcF89913DB8+3DKLf6e2RkZG8ssvv/Dhhx9SvXp1HBwcCAgI4OrVq3keExMTw4QJEyxluX3H+X3vhmHkuhwlr/Js2Utw7mb8WrRoYXnU2u1Lc0TuF5oxFhEpYT4+PpQuXdpcIwo3w+TBgwf/0Hlr165N2bJl2bdvn1nm6+uLk5MT8fHx+R6blJSEv7+/+fnWG8Lg5gzkjz/+aM4KA5b253X9cuXKERISwkcffcTFixfvum8FbXdB+fv7W9qZzc7Ojn/96180b96cjh07cvLkSXNf48aNSUhI4Nq1a7meMyEhgcGDBxMWFkaDBg1wcHDg119/zbMNhw4dIiUlhU6dOhW6/beqX78+x48f58SJE2bZvn37yMjIoF69enkel5SUROnSpWnQoEGhr+nk5ISPj4+5lfQj70TuloKxiEgJc3V1pW/fvgwfPpz4+HiSkpKIjIy0/Kn8btjZ2REcHMyGDRvMMkdHR/7xj3/wxhtv8Nlnn3HkyBE2b97M/PnzzTqXLl1ix44dZkA7c+YM27Zts6yLffbZZ7Gzs6Nv377s27eP77//3lx/nN/1AWbNmsX169dp0aIFX375JcnJyRw4cIDPP/+c/fv3U6pUqbvq7+3tLozQ0FA2bdrEjRs3cuwrVaoUixcvpkmTJnTs2JG0tDQA/v73v3P+/Hl69uzJ9u3bOXToEP/61784cOAAcPMXnn/9618kJyezZcsWIiIi8p1lXr58OcHBwZblKXcjODiYxo0bExERwc6dO9m6dSvPP/88HTp0yPcGw4SEBB599NE/PGt/q8zMTBITE83Z5KNHj5KYmJjvchKRkqRgLCLyJzBp0iTat29PeHg4wcHBtGvXLs+bwQpjwIABREdHm39mh5tvonvttdd4++23qVevHj169DDXp8LNgFatWjUeffRRAP7zn//wyCOPmI/rgpth/j//+Q/79u3D39+fkSNH5nrDXG7Xr127Nrt27SI4OJg333yTJk2a0KJFC2bMmMHrr7+e48UbBXV7uwsjLCyM0qVL5/kMZXt7e6KiomjQoAEdO3bkzJkzlCtXjtWrV5OZmUmHDh1o3rw58+bNM5c5fPrpp5w7dw5/f3+ee+45Bg8ebBnD3NpfmGdE5yX7MXYPP/ww7du3Jzg4mFq1avHll1/me1xUVBT9+/f/w9e/1fbt2/H39zdn8V999VX8/f15++23i/Q6IkXGEBGRB1ZWVpbRqlUr44svvijwMS1btjQWL15sfu7atavx/vvv37Pr363b252bBQsWGO7u7rnumzlzptGpU6diaNmd/fLLL4a9vb1x6tSpErn+t99+a9SrV8+4du1aiVz/6NGjBmDs2rWrRK4vkk0zxiIiDzCbzcbcuXPNZ+veyZkzZ+jWrZv5CDiAdu3aWT4X5/XvVm7tzktGRgaurq784x//sJQPGDCA9u3b5/uc4eJy9uxZPvjgA7y8vO75teHmC2YWLFiAvf29vyf/8ccfv6t1zSLFwWYYf+B2aBERkWKwePFiXnzxxVz3Va9enb17997VeS9cuGC+Ae6hhx4yn5whJSc1NdW8ibNatWqUKVOmhFsk/8sUjEVE5E/n1gB7u9KlS+sFFCJSLBSMRURERETQUylERERERAAFYxERERERQMFYRERERARQMBYRERERARSMRUREREQABWMREREREUDBWEREREQEUDAWEREREQHg/wPabGDHmruQOgAAAABJRU5ErkJggg==", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], + "source": [ + "# Show the sensitivity plots\n", + "for species in sensitive_species:\n", + " print('{}: Reaction Sensitivities'.format(species))\n", + " index = species.index\n", + " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_reactions.png'.format(index))))\n", + " \n", + " print('{}: Thermo Sensitivities'.format(species))\n", + " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_thermo.png'.format(index))))" + ] + }, + { + "cell_type": "markdown", + "id": "210a41fb-3c40-4b70-ac93-2ef3f66182e1", + "metadata": {}, + "source": [ + "## 3. Assign (Uncorrelated) Parameter Uncertainties\n", + "\n", + "Here we look up the sources used to compute each parameter and assign a value for $\\Delta G_n$ or $\\Delta \\ln k_m$" + ] + }, + { + "cell_type": "markdown", + "id": "5bb96967-24d9-4d6e-a190-500512edb1b0", + "metadata": {}, + "source": [ + "### Load the same database that's used in the RMG input file" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "359ce9cc-9c60-49f0-9760-12a9da485acd", + "metadata": {}, + "outputs": [], "source": [ "uncertainty.load_database(\n", " thermo_libraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC', 'DFT_QCI_thermo'],\n", @@ -1207,7 +273,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "f639a69f-828d-499b-9047-041715a97060", "metadata": {}, "outputs": [], @@ -1229,7 +295,7 @@ "id": "667713de-0461-4c20-aaf8-ccd19a09d919", "metadata": {}, "source": [ - "# 4. Propagate the input uncertainties through the mechanism local analysis and show the resulting sensitivity index\n", + "## 4. Propagate the input uncertainties through the mechanism local analysis and show the resulting sensitivity index\n", "\n", "Use the first-order local uncertainty equation to get the overall variance in concentration:\n", "$$(\\Delta \\ln c_i)^2 = \\sum_{\\mathrm{reactions}\\; m} \\left(\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}\\right)^2 (\\Delta \\ln k_m)^2 + \\sum_{\\mathrm{species}\\; n} \\left(\\frac{\\partial\\ln c_i}{\\partial G_n}\\right)^2(\\Delta G_n)^2$$\n", @@ -1239,10 +305,58 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "b5676863-89f9-48ca-9a45-04cd1aed9c2e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "Total variance [(d ln(c))^2] for species CH4 is 1.088884\n", + "--------------------------------------------------------------------------------\n", + "Top 5 reaction rate contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "k111: H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 6.7096%\n", + "k53: COX(23)<=>X(1)+CO(7) 3.0785%\n", + "k61: X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.5577%\n", + "k86: OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 0.3885%\n", + "k90: H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 0.2365%\n", + "--------------------------------------------------------------------------------\n", + "Top 5 thermochemistry contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "dln[CH4(2)]/dG[H2OX(31)] 32.4971%\n", + "dln[CH4(2)]/dG[CHX(27)] 21.7944%\n", + "dln[CH4(2)]/dG[COX(23)] 14.4430%\n", + "dln[CH4(2)]/dG[H2X(29)] 7.1994%\n", + "dln[CH4(2)]/dG[H2(6)] 6.9510%\n", + "================================================================================\n", + "\n", + "================================================================================\n", + "Total variance [(d ln(c))^2] for species CO2 is 0.853717\n", + "--------------------------------------------------------------------------------\n", + "Top 5 reaction rate contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "k111: H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 5.8080%\n", + "k86: OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 1.8035%\n", + "k53: COX(23)<=>X(1)+CO(7) 1.6309%\n", + "k61: X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.3117%\n", + "k90: H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 0.2118%\n", + "--------------------------------------------------------------------------------\n", + "Top 5 thermochemistry contributors Sensitivity Index\n", + "--------------------------------------------------------------------------------\n", + "dln[CH4(2)]/dG[CH3X(26)] 29.2425%\n", + "dln[CH4(2)]/dG[HX(21)] 27.8291%\n", + "dln[CH4(2)]/dG[OHX(30)] 25.7592%\n", + "dln[CH4(2)]/dG[H2X(29)] 5.1266%\n", + "dln[CH4(2)]/dG[H2O(5)] 1.5958%\n", + "================================================================================\n", + "\n", + "\n" + ] + } + ], "source": [ "result = uncertainty.local_analysis_intermediate(sensitive_species, correlated=False, number=10, fileformat='.png')\n", "print(process_local_results(result, sensitive_species, number=5)[1])" @@ -1268,7 +382,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "e024e373-73d7-4d3c-b025-53bf39ab6314", "metadata": {}, "outputs": [], @@ -1286,7 +400,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "8df6b087-67ec-4f14-a2c6-7fa9686d6203", "metadata": {}, "outputs": [ @@ -1295,43 +409,43 @@ "output_type": "stream", "text": [ "================================================================================\n", - "Total variance [(d ln(c))^2] for species CH4 is 3.248625\n", + "Total variance [(d ln(c))^2] for species CH4 is 0.455246\n", "--------------------------------------------------------------------------------\n", "Top 5 reaction rate contributors Sensitivity Index\n", "--------------------------------------------------------------------------------\n", - "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 2.4434%\n", - "Surface_Library COX(23)<=>X(1)+CO(7) 1.0319%\n", - "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.2719%\n", - "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.2450%\n", - "Surface_Library X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.1869%\n", + "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 17.4362%\n", + "Surface_Library COX(23)<=>X(1)+CO(7) 7.3634%\n", + "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.9406%\n", + "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.7481%\n", + "Surface_Library X(1)+H2OX(31)<=>HX(21)+OHX(30) 1.3340%\n", "--------------------------------------------------------------------------------\n", "Top 5 thermochemistry contributors Sensitivity Index\n", "--------------------------------------------------------------------------------\n", - "Surface_Library X(1) 85.9865%\n", - "Surface_Library H2OX(31) 3.7244%\n", - "Library H2(6) 2.3298%\n", - "Surface_Library H2X(29) 1.1730%\n", - "Library CH4(2) 0.9880%\n", + "Surface_Library H2OX(31) 26.5770%\n", + "Library H2(6) 16.6257%\n", + "Surface_Library H2X(29) 8.3705%\n", + "Library CH4(2) 7.0503%\n", + "Library H2O(5) 5.0841%\n", "================================================================================\n", "\n", "================================================================================\n", - "Total variance [(d ln(c))^2] for species CO2 is 0.615255\n", + "Total variance [(d ln(c))^2] for species CO2 is 0.233778\n", "--------------------------------------------------------------------------------\n", "Top 5 reaction rate contributors Sensitivity Index\n", "--------------------------------------------------------------------------------\n", - "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 8.8033%\n", - "Surface Training Surface_Abstraction OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 2.5025%\n", - "Surface_Library COX(23)<=>X(1)+CO(7) 2.2631%\n", - "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.9745%\n", - "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 0.8779%\n", + "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 23.1685%\n", + "Surface Training Surface_Abstraction OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 6.5861%\n", + "Surface_Library COX(23)<=>X(1)+CO(7) 5.9559%\n", + "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 2.5647%\n", + "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 2.3104%\n", "--------------------------------------------------------------------------------\n", "Top 5 thermochemistry contributors Sensitivity Index\n", "--------------------------------------------------------------------------------\n", - "Surface_Library X(1) 62.0032%\n", - "Surface_Library H2OX(31) 14.0870%\n", - "Surface_Library OHX(30) 5.2360%\n", - "Library H2O(5) 2.2144%\n", - "Library CO2(4) 0.2343%\n", + "Surface_Library H2OX(31) 37.0740%\n", + "Surface_Library OHX(30) 13.7801%\n", + "Library H2O(5) 5.8278%\n", + "Library CO2(4) 0.6167%\n", + "Library CH4(2) 0.5189%\n", "================================================================================\n", "\n", "\n" @@ -1348,11 +462,11 @@ "id": "55cf9bdd-e6e0-473e-a66b-b4ee173c2dec", "metadata": {}, "source": [ - "# 5. We can also export covariance matrices of the input parameter uncertainties\n", + "# 5. Bonus: export covariance matrices\n", "\n", - "Here we compute the species covariance matrix $\\Sigma_G$ and the reaction covariance matrix $\\Sigma_{\\ln k}$ - note this is different from the covariance matrix for the underlying parameters $\\Sigma_{ww'}$, which represents sources that might be reused across species/reactions like individual Benson groups or rate rules.\n", + "### Here we compute the species covariance matrix $\\Sigma_G$ and the reaction covariance matrix $\\Sigma_{\\ln k}$. \n", "\n", - "The species Gibbs covariance matrix $\\Sigma_G$ and reaction rate covariance matrix $\\Sigma_{\\ln k}$ can be useful for uncertainty quantification performed outside of RMG. They can also be useful for optimization and parameter fitting, which can used correlated uncertainties to find the best fit to experimental data.\n", + "### These can be used for global uncertainty sampling studies outside of RMG (see 6)\n", "\n", "\n", "For the uncorrelated covariance matrices on the left, only the diagonal values are non-zero.\n", @@ -1363,10 +477,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "ff40668a-252f-446f-933f-10dac739a859", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Species Index')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n", "plt.subplots_adjust(wspace=0.3)\n", @@ -1394,10 +529,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "904957bf-ab1a-401f-bedc-74ecf104c012", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Reaction Index')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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atmwpPvnkEzFw4ECRnJxsk8f69etFixYthNlsFgDEwIEDbe7L4MGDRY0aNUR4eLioVq2aSE9PFy+99JJNGnv37hVdunQRkZGRokqVKmLIkCHi008/5WyZREQ+kJubKwYOHCiuv/56ERERIaKjo0WLFi3ECy+8II4fPy6EuDZ75LRp00TdunVFeHi4iIuLEw8++KA4cuSITVrt27cXjRo1KpeHFCdfffVVh2X4+eefxb333iuqV68uwsPDRUJCgujYsaOYN2+e5RhHs2UePXpU3H333aJy5coiJiZG3H777WLPnj0iOTnZJh4JIcTrr78uUlJSRGhoaLmYvXnzZnHHHXeIKlWqiPDwcFGjRg1xxx13lIv3n332mWjatKmIiIgQ119/vXjllVcsMZrIKExCCOGviiURERERERF5BpdCICIiIiIiCgKs3BEREREREQUBVu6IiIiIiIiCACt3REREREREQYCVO51avHgxTCYTfvzxR5vtJ0+eROvWrVGxYkWsW7cOAJCVleV00VJPuHz5MrKysrBp0ybZsh46dMirZbD37bff4t5770WNGjUQERGB2NhYpKenY+7cubh06ZJPy6JWRkYGMjIy/F0Mtw0aNAgmkwkxMTG4ePFiuf1//vknQkJCYDKZkJWVpTp9Z587Z3zx/4S/vfjii2jYsCHKysos27TeZzmDBg1CxYoVXR7Xrl07jB492uVxJSUlmDFjBl588UWcPHlS9rgdO3ZgxIgRaNKkCWJiYhAfH4/OnTtblvAgfWJcc41xzf8Y1/yHcU0hf0/XSdosWrRIABA5OTmWbUeOHBH169cXlStXFtu2bbPZbv27N5w4caLclP2S48ePi23btonCwkKvlsHaCy+8IACI9PR0sXDhQrFp0yaxevVq8fzzz4vq1auL0aNH+6wsWvzyyy/il19+8Xcx3DZw4EARHh4uIiMjxYIFC8rtnzhxoqhUqZLsZ8cVZ587Z3zx/4Q/HTt2TERHR5ebJlzrfZYzcOBAER0d7fK4TZs2ifDwcPHrr7/KHlNSUiL69+8vTCaTiIyMFM2aNROnTp1yeGxmZqZo3bq1mDlzptiwYYP47LPPRI8ePQQA8f7772u+HvIvxjXnGNcCA+OafzCuKcfKnU7ZB8H9+/eL66+/XiQmJopdu3b5vDxa/xh5w8cffywAiCFDhoiysrJy+8+fPy++/vprP5TMtUuXLvm7CB4l/ZEcMGCASE9Pt9lXVlYmkpOTxdChQ30WBIPt/sp56qmnRI0aNURpaanNdn8FQSGEaNy4sRg6dKjDfaWlpeKBBx4Q4eHh4sMPPxQ//PCDqF69umjZsqU4c+ZMueP//vvvcttKSkpE06ZNRZ06dVRdAwUOxjV5jGuBg3HNPxjXlGPlTqesg+DOnTtF9erVxQ033CAOHDhQ7lhHC3hKi2t/9dVXokWLFiIyMlLUq1dPLFy4sNz5+fn54tFHH7Usdl27dm2RlZUlrl69KoT4Z/FT+5e0QKlU1oMHD9qk+9VXX4mOHTuKSpUqiQoVKoj69euLKVOmWPYfOHBA9O/fXyQmJoqIiAhRvXp10bFjR7Fz506n96Zx48aicuXKiv/gXblyRTzzzDOidu3aIjw8XCQlJYnhw4fb/M/Xu3dvcf3115f7oyKEEDfddJNo0aKF5fe3335b3HbbbaJatWoiKipKNG7cWEybNk0UFxfbnCctJrt582bRtm1bUaFCBdG/f3/Lvvbt29scn5WVJW666SbLYrAtWrQQCxYsKBfo1by3R48eFUOHDhU1a9YU4eHhIjExUdx9992ioKDAcsy5c+dEZmamzf3597//bbPQuhzpj+TatWsFAJsnXNK27Ozscn+cjx8/LoYNGyYaNGggoqOjRbVq1USHDh3Eli1bLMe4+txJn/sdO3aIu+++W1x33XUiISHBZp/k22+/FWFhYSIzM9Om/NJn19HT2UBVVFQkqlatKsaNG1dun/19lq7vm2++EY8//rioWrWqqFKliujTp484duyYy7wcBcGtW7eKqlWrijvuuMPmMzJt2jQRHR0tzp8/b3N8aWmpGDhwoIiJiRHr1q2zbP/9999FnTp1RFpamjh79qyia3/44YdFRESEomMp8DCuyWNcY1wTgnGNcU0ZVu50Svrwzpo1S8TGxorGjRuLv/76y+GxckGwZs2aomHDhuKDDz4QX3/9tejXr58AIDZv3mw5Lj8/X9SqVUskJyeLd955R6xfv15MnjxZmM1mMWjQICGEEIWFhWLNmjWWp4rbtm0T27ZtE7///rtNWa2D4IIFC4TJZBIZGRli6dKlYv369WLOnDli+PDhlmPq1asnbrzxRvHhhx+KzZs3ixUrVojMzEyxceNG2fvy119/CQCWYOJKWVmZ6NatmwgLCxMTJkwQa9euFa+99pqIjo4WLVq0sHS5+fTTTwUAm/9JhRBi3759AoB48803LduefPJJMXfuXLFmzRrxzTffiFmzZom4uDjx8MMP25zbvn17UaVKFVGrVi3x1ltviY0bN1ruvaMgOGjQILFw4UKxbt06sW7dOjF58mRRoUIFMWnSJJvjlL63R48eFYmJiSIuLk7MnDlTrF+/XixfvlwMHjxY7Nu3Twhx7Ylg8+bNbY554403RGxsrOjYsaPDJ8jWpD+S0tPMp556yrKvf//+ol27dg6fUv76669i2LBhYtmyZWLTpk3iiy++EEOGDBEhISGW99/V50763CcnJ4unn35arFu3TnzyySc2+6y98sorAoD49NNPhRBC7NmzR0RFRYkHH3zQ6TUGmi1btggAYvXq1eX2yQXBG264QTzxxBPi66+/FgsWLBCVK1cWHTp0cJmXfRBcvny5MJvNYtiwYaKkpMTm2O+//14AEJ999pllW1lZmRgyZIhISEhw+OX2+PHjIi0tTdx8883lgqe9q1evihtvvNHmCynpC+OaY4xrjGuMa4xrarByp1PShxeAiI2NFcePH5c9Vi4IRkZGij///NOy7cqVK6JKlSriscces2x77LHHRMWKFW2OE0KI1157TQCw9J931o3APgheuHBBVKpUSdx6662yf0RPnjwpAIjXX3/d6X2wt337dgFAPPPMM4qOl/6ITp8+3Wb78uXLBQDx7rvvCiGu/Q8WHx8v7r//fpvjnnrqKRERESFOnjzpMP3S0lJx9epV8cEHH4jQ0FBx+vRpy7727dsLAGLDhg3lznMUBB2l++KLL4qqVava3Eel7+3gwYNFeHi42Lt3r2w+U6dOFSEhITZjYIQQ4r///a/sH1pr1n8kJ06cKBISEsTVq1fFqVOnhNlsFosXL1bUBaWkpERcvXpVdOrUSfTp08ey3dm50uf+hRdekN1nraysTPTo0UNcd911Ys+ePaJhw4aifv36ip7kBpJp06YJADZPqSVyQdD6y6cQQkyfPl0AEPn5+U7zsn5/X3nlFREaGiqmTZvm8Nji4mJhMpnE008/rfKKlBk/frwAYPmiQ/rDuOYY4xrjmoRxjXFNCc6WqXO9evXCuXPnMHr0aJSWlqo6t3nz5rj++ustv0dGRqJu3br4888/Ldu++OILdOjQAUlJSSgpKbG8unfvDgDYvHmz6jJnZ2fj/PnzGD58uOzMTlWqVEGdOnXw6quvYubMmdi5c6fN7EieIs1CNGjQIJvt/fr1Q3R0NDZs2AAACAsLw4MPPoiVK1fi3LlzAIDS0lJ8+OGH6N27N6pWrWo5d+fOnejVqxeqVq2K0NBQhIeH41//+hdKS0uxf/9+m3wqV66Mjh07Ki5r586dERsba0n3hRdewKlTp3D8+HGbY5W8t1999RU6dOiABg0ayOb5xRdfoHHjxmjevLnN+9+tWzeYTCZVs3k9/PDD+Pvvv/HVV1/h//7v/xAREYF+/frJHj9v3jy0bNkSkZGRCAsLQ3h4ODZs2IB9+/YpzhMA7r77bkXHmUwmfPDBB4iJiUHr1q1x8OBBfPzxx4iOjlaVn7/99ddfMJlMiIuLU3xOr169bH5v2rQpANh8XuQIIfDYY49h4sSJWLp0KZ566imHx4WHh+O6667DsWPHFJdLqQULFuDll19GZmYmevfu7fH0ybcY19zDuMa4JmFc+4eR4hordzo3YcIEvPDCC1i6dCkefPBBVYHQ+g+3xGw248qVK5bf//77b3z++ecIDw+3eTVq1AgAnE7rKufEiRMAgJo1a8oeYzKZsGHDBnTr1g3Tp09Hy5YtUa1aNYwaNQoXLlyQPU/6w3/w4EFFZTl16hTCwsJQrVq1cvknJCTg1KlTlm2DBw9GYWEhli1bBgD4+uuvkZ+fj4cffthyzOHDh3Hbbbfh2LFjeOONN/Dtt98iJycHs2fPBgCbewsAiYmJisr5ww8/oGvXrgCA+fPn47vvvkNOTg7Gjx/vMF0l7+2JEyecvgfAtfd/165d5d7/mJgYCCFUvf/Jycno1KkT3nvvPbz33nsYMGAAoqKiHB47c+ZMDBs2DG3atMGKFSuwfft25OTk4Pbbby93ra4ovcfAtfvWq1cvFBYW4vbbb0eTJk1U5RUIrly5gvDwcISGhio+x/7zYjabLWm5UlxcjOXLl6NRo0aWL8dyIiMjVb9/rixatAiPPfYYHn30Ubz66qseTZv8g3HNFuPaNYxr/2Bcc83IcS3Mo6Uhv5g0aRJMJhMmTZqEsrIy/N///R/Cwjzz1sbFxaFp06Z4+eWXHe5PSkpSnaYUcI4ePer0uOTkZCxcuBAAsH//fnz88cfIyspCcXEx5s2b5/CcxMRENGnSBGvXrsXly5dl/8hKqlatipKSEpw4ccImEAohUFBQgLS0NMu2hg0b4qabbrL8T7do0SIkJSVZghMAfPLJJ7h06RJWrlyJ5ORky/bc3FyH+Stdk2bZsmUIDw/HF198gcjISJv8tKpWrZrL9yAuLg4VKlTAe++9J7tfjcGDB+PBBx9EWVkZ5s6dK3vckiVLkJGRUe4YZ1+A5KhZ92fdunWYO3cubrrpJqxatQorVqxQ/IQ0UMTFxaG4uBiXLl3yydNZs9mMjRs3olu3bujcuTPWrFmDypUrOzz2zJkzqj8zzixatAiPPPIIBg4ciHnz5gX9Gk9Gwrj2D8Y15RjXymNcU0/vcY0td0EiKysLkyZNwscff4z7778fJSUlHkm3Z8+e2LNnD+rUqYPWrVuXe0lBUM0TkfT0dMTGxmLevHkQQigqR926dfH888+jSZMm+Omnn5weO2HCBJw5cwajRo1ymP7Fixexdu1aAECnTp0AXPuja23FihW4dOmSZb/k4Ycfxvfff4+tW7fi888/x8CBA22eJEn/E0r3A7gWUOfPn6/oOuWYTCaEhYXZ5HXlyhV8+OGHmtPs3r07Nm7ciN9++032mJ49e+LAgQOoWrWqw/e/du3aqvLs06cP+vTpg8GDB+Pmm2+WPc5kMtncQwDYtWsXtm3bZrNNzefOlfz8fDz44INo3749srOz0atXLwwZMkTx0/JAUb9+fQDAgQMHfJZnixYtsHnzZhw9ehQZGRnlulMB17rVFBYWomHDhh7Jc/HixXjkkUfw4IMPYsGCBazYBSHGtX8wrinDuGaLcU07Pcc1ttwFkRdeeAEhISGYMGEChBD46KOP3H7S+eKLL2LdunVIT0/HqFGjUK9ePRQWFuLQoUNYvXo15s2bh5o1ayImJgbJycn49NNP0alTJ1SpUgVxcXEO/0hWrFgRM2bMwCOPPILOnTtj6NChiI+Px++//46ff/4Zb7/9Nnbt2oWRI0eiX79+SE1NRUREBL755hvs2rULzzzzjNMy9+vXDxMmTMDkyZPx66+/YsiQIahTpw4uX76M77//Hu+88w769++Prl27okuXLujWrRuefvppnD9/Hrfccgt27dqFiRMnokWLFnjooYds0r7vvvswZswY3HfffSgqKio3pqFLly6IiIjAfffdh6eeegqFhYWYO3cuzpw549b7cMcdd2DmzJm4//778eijj+LUqVN47bXXygUKNV588UV89dVXaNeuHZ577jk0adIEZ8+exZo1azBmzBjUr18fo0ePxooVK9CuXTs8+eSTaNq0KcrKynD48GGsXbsWmZmZaNOmjeI8IyMj8d///tflcT179sTkyZMxceJEtG/fHr/99htefPFFpKSk2HzBU/O5c6a0tBT33XcfTCYTli5ditDQUCxevBjNmzdH//79sXXrVkRERKhK018yMjIAANu3b7eMMfCFBg0a4Ntvv0Xnzp3Rrl07rF+/3qZ71Pbt2wEAHTp0cDuv//znPxgyZAiaN2+Oxx57DD/88IPN/hYtWrj1/wYFDsa1axjXlGFc+wfjmvt0G9c8NqUL+ZT9Yq/WXn75ZQFA9O3bVxQXFztdD8ieo9msTpw4IUaNGiVSUlJEeHi4qFKlimjVqpUYP368zYxL69evFy1atBBms1nRekCrV68W7du3F9HR0SIqKko0bNjQMiPR33//LQYNGiTq168voqOjRcWKFUXTpk3FrFmzyk1FK2fz5s3innvuEYmJiSI8PFxUqlRJtG3bVrz66qs2089euXJFPP300yI5OdmyJs6wYcMcLjIphBD333+/ACBuueUWh/s///xz0axZMxEZGSlq1Kghxo0bJ7766isBwGa6a2k9IEccvQ/vvfeeqFevnjCbzeKGG24QU6dOFQsXLix3b9W8t0eOHBGDBw8WCQkJlrV+7r33XpvFNC9evCief/55Ua9ePRERESFiY2NFkyZNxJNPPulw5iprShYDdTQzWFFRkRg7dqyoUaOGiIyMFC1bthSffPKJGDhwoEhOTrY5X+5zJ33uT5w4US5P+/8nxo8fL0JCQsrN8JadnS3CwsLEv//9b6fXEGhuu+020aNHj3Lb7e+z3N+RjRs3lvu8OuLo/T169KioX7++qF27ts36ZA899JBo0qSJ+ouRyRcO1oKSXvZ/a0gfGNdcY1xznSbj2jWMa8aNayYhFPYfICIiXVixYgX69++PP//8EzVq1PB3cXD+/HkkJSVh1qxZGDp0qL+LQ0REOsO4phwrd0REQUYIgfT0dLRq1Qpvv/22v4uDSZMmYfny5di1a5fHJsUgIiLjYFxTjhOqEBEFGZPJhPnz5yMpKckr62ipValSJSxevDjgAiAREekD45pybLkjIiIiIiIKAmy5IyIiIiIiCgJBU7mbM2cOUlJSEBkZiVatWuHbb7/1d5GIiIg0Y1wjIiK1Aq+jqAbLly/H6NGjMWfOHNxyyy1455130L17d+zduxfXX3+9v4tHRBTwCgsLUVxcrPn8iIgIREZGerBExsa4RkTkHqPGtaAYc9emTRu0bNkSc+fOtWxr0KAB7rrrLkydOrXc8UVFRSgqKrL8XlZWhtOnT6Nq1aqaV4MnIgoEQghcuHABSUlJCAlR1jmjsLAQKckVUXC8VHO+CQkJOHjwoC4DYSBiXCMiuoZxTR3dt9wVFxdjx44deOaZZ2y2d+3aFdnZ2Q7PmTp1KiZNmuSL4hER+cWRI0dQs2ZNRccWFxej4HgpDu5IRqUY9b31z18oQ0qrP1FcXKy7IBiIGNeIiMpjXFNG95W7kydPorS0FPHx8Tbb4+PjUVBQ4PCcZ599FmPGjLH8fu7cOVx//fVoZ+6DkCL/T69KRKRVCa5iK1YjJiZG9bnRFa+91CrVff+PwMK4RkT0D8Y1dXRfuZPYdzsRQsh2RTGbzTCbzeW2hxSVIaJCDMoKC71SRiIir/tfQNLSFa8MAmVQH9G0nEOuMa4REYFxTSXdz5YZFxeH0NDQck8zjx8/Xu6ppxJlhYUI0VnzKxERBQ/GNSIi0kr3lbuIiAi0atUK69ats9m+bt06pKena0qTgZCIjKjMjf/IcxjXiIg8w4hxLSi6ZY4ZMwYPPfQQWrdujbZt2+Ldd9/F4cOH8fjjj2tOUwqE7MpCREZRKgRKNUygrOUcco5xjYjIfUaMa0FRuevfvz9OnTqFF198Efn5+WjcuDFWr16N5ORkt9JlICQiIzHi2IRAxbhGROQ+I8a1oKjcAcDw4cMxfPhwj6fLQEhERlEGgVKDBcFAxrhGROQeI8a1oKnceRMDIREZgRGfcBoV4xoRGYER45ruJ1TxFQ5GJyKiYMK4RkQUfNhypwKfdBJRMDPiwHOjY1wjomBmxLjGyp1KDIREFKzK/vfSch7pF+MaEQUrI8Y1dsvUoKywEAc/aubvYhAReVTp/waea3mRvjGuEVEwMmJcY8udRin3/cwnnUQUVErFtZeW80j/GNeIKNgYMa6xcucGdmUhomBixO4rZItxjYiCiRHjGrtluomzjRERUTBhXCMi0i+23HkAn3QSUTAogwmlMGk6j4IL4xoRBQMjxjVW7jyEgZCI9K5MXHtpOY+CD+MaEemdEeMaK3cexEBIRHpWqvEJp5ZzSB8Y14hIz4wY1zjmzsPKCgsR0rS+v4tBRKSaFAS1vCh4Ma4RkV4ZMa6xcucFZbt+5WB0IiIKGoxrRET6wG6ZXsKuLESkN2XChDKhYeC5hnNIfxjXiEhvjBjXWLnzIgZCItITI45NIHUY14hIT4wY11i58zIGQiLSi1KEoFRDb/1SL5SFAhfjGhHphRHjGit3PsBASER6IDR2XxE67r5C2jCuEZEeGDGucUIVHykrLMSRCen+LgYRkSwjzipG2jGuEVGgM2JcY+XOh2pNzuZsY0REFDQY14iIAgu7ZfoYu7IQUaAqFSEoFRrGJggvFIZ0g3GNiAKVEeMaK3d+wEBIRIGoDCaUaejQUQYdR0HyCMY1IgpERoxrrNz5CQMhEQUaI04ZTZ7DuEZEgcaIcY1j7vyorLAQBz9q5u9iEBEB+Kf7ipYXEcC4RkSBxYhxTb8lDxIp9/2My33b+LsYRET/676i7UUkYVwjokBhxLjGyl0AiFr5PWcbIyKioMG4RkTkHxxzFyA4VoGI/K0MISg12MBz8h7GNSLyNyPGNVbuAggDIRH5k/Ypo/UbBMm7GNeIyJ+MGNfYLTPAlBUWcqwCEflFGUI0v9QoKSnB888/j5SUFFSoUAE33HADXnzxRZSVlXnpysifGNeIyF+MGNfYcheApLEKfNJJRL5UKkwoFRqmjFZ5zrRp0zBv3jy8//77aNSoEX788Uc8/PDDiI2Nxb///W/V+VPgY1wjIn8wYlxj5S5AsSsLEflaqcaxCaUqxyZs27YNvXv3xh133AEAqF27Nj766CP8+OOPqvMm/WBcIyJfM2JcY7fMAMauLESkJ+fPn7d5FRUVOTzu1ltvxYYNG7B//34AwM8//4ytW7eiR48eviwu+QHjGhHpiR7jGlvuAhy7shCRr5SJEJRpGHhe9r+B57Vq1bLZPnHiRGRlZZU7/umnn8a5c+dQv359hIaGorS0FC+//DLuu+8+TeUmfWFcIyJfMWJcY+VOB9iVhYh8wd3uK0eOHEGlSpUs281ms8Pjly9fjiVLlmDp0qVo1KgRcnNzMXr0aCQlJWHgwIHaCk+6wrhGRL5gxLjGyp1OlBUW4uBHzZBy38/+LgoRBakyqB9ELp0HAJUqVbIJgnLGjRuHZ555BgMGDAAANGnSBH/++SemTp3Kyp2BMK4RkbcZMa5xzJ2OpNz3M8cqEJHX+GrK6MuXLyMkxPac0NBQLoVgQIxrRORNRoxrrNzpTNTK73FkQrq/i0FEpNmdd96Jl19+GV9++SUOHTqEVatWYebMmejTp4+/i0Z+wLhGRHoXSHGN3TJ1qNbkbFzu2wZRK7/3d1GIKIiUihCUahh4rvact956CxMmTMDw4cNx/PhxJCUl4bHHHsMLL7ygOm8KDoxrROQNRoxrrNzpVNTK75GaY0ZemuMpWYmI1CqDCWXQMjZB3TkxMTF4/fXX8frrr6vOi4IX4xoReZoR41pAd8vMysqCyWSyeSUkJFj2CyGQlZWFpKQkVKhQARkZGfjll1/8WGLfyksrQmqO41l7iIjUkp5wanmRcoxt8hjXiMiTjBjXAr7kjRo1Qn5+vuW1e/duy77p06dj5syZePvtt5GTk4OEhAR06dIFFy5c8GOJfYuBkIg8RZoyWsuL1GFsk8e4RkSeYsS4FvDdMsPCwmyeaEqEEHj99dcxfvx49O3bFwDw/vvvIz4+HkuXLsVjjz0mm2ZRUZHNCvPnz5/3fMF9SAqE7MpCRO4oEyaUaZkyWsM5Rufp2Ma4RkRUnhHjWsBXS/Py8pCUlISUlBQMGDAAf/zxBwDg4MGDKCgoQNeuXS3Hms1mtG/fHtnZ2U7TnDp1KmJjYy0v+9Xn9YhPOomI9MPTsY1xjYiIgACv3LVp0wYffPABvv76a8yfPx8FBQVIT0/HqVOnUFBQAACIj4+3OSc+Pt6yT86zzz6Lc+fOWV5Hjhzx2jX4EgMhEbmjTGPXFbXrARmdN2Ib4xoRUXlGjGsB3S2ze/fulp+bNGmCtm3bok6dOnj//fdx8803AwBMJttmUyFEuW32zGYzzObgDBbsykJEWpWJEJRpGESu5Rwj80ZsY1wjIirPiHFNVyWPjo5GkyZNkJeXZxmrYP8k8/jx4+WeeBoNn3QSkRalMGl+kXaMba4xrhGRFkaMa7qq3BUVFWHfvn1ITExESkoKEhISsG7dOsv+4uJibN68Genp6X4sZWBgICQitaQnnFpepB1jmzKMa0SklhHjWkCXfOzYsdi8eTMOHjyI77//Hvfccw/Onz+PgQMHwmQyYfTo0ZgyZQpWrVqFPXv2YNCgQYiKisL999/v76IHBAZCIlKjFFqfcpIajG3aMa4RkRpGjGsBPebu6NGjuO+++3Dy5ElUq1YNN998M7Zv347k5GQAwFNPPYUrV65g+PDhOHPmDNq0aYO1a9ciJibGzyUPHByrQEQUWBjb3MO4RkQkL6Ard8uWLXO632QyISsrC1lZWb4pkE4xEBKREkYceO4PjG3uY1wjIiWMGNf0W3JShV1ZiMiVUhGi+UXka4xrROSKEeOafktOqjEQEpEzAiaUaXgJHc8qRvrGuEZEzhgxrrFyZzAMhEQkx4hPOEn/GNeISI4R45p+S06aMRASkSNlwqT5ReRPjGtE5IgR4xordwbFQEhERMGEcY2IiJU7Q2MgJCJrpQjR/CIKBIxrRGTNiHFNvyUnj8hLK8LXf+X6uxhEFACM2H2Fgo8U11JzzJaKHit85An8HOmPEeMaK3eEbknNWcEjIpQhRPOLKJCMPNYGb9f43t/FICI/M2Jc02/JyaNYwSOiUmHS/CIKNKzgEZER4xord2TBCh4REQWDvLQi5KUVWeJaXlqRv4tEQYCfI9IDVu7IBit4RMZlxLEJFJyk8XapOWbGNfIYjrnTHyPGtTB/F4ACjxQIuyU193dRiMiHhAhBmYaFW4WOF3ul4GTfwsK4Rp7Aljv9MWJc02/Jyav4pJPIeEph0vwiCnT2cc26FSaYWmSC6VqI3GXEuMbKHcliBY/IWMqE1i4s/i45kTLWcU1aEy81xxxULTLBdC2BhJVmfTJiXGPljpzqltQcI/L2+7sYROQDZf/rvqLlRaQX1nFNmniFyBV+TvTJiHFNvyUnn5mdWpcteEREpHtS64t9XAumVplguhYiUo+VO1KEXTSJgl8ZTJpfRHogdcUE/olr7JZJSrDSrE9GjGus3JFirOARBTcjLvZKxsaFzomCmxHjGit3pAoreETBy4hjE8hYrFvppJ+DLa6xhck72CKqT0aMa/otOflNt6TmDB5EQagMGhd71XH3FTIW6y/o1j8HU1xjJYToH0aMa6zckSZ5aUVIyy31dzGIyIOExnEJQsdBkEjCuEbBLD8z3d9F8AsjxjVW7kiznOahQdWVhYiIjE2Ka9L6d45a85ztc8bV8c72u7PgujcXa/fFQvBSulqv2xctsvZ5uJOnt8qdOCPbJm25l9K81Xye3b2WOpuCo1XdV1i5I7cE21gFIiPTttDrtRdRsOAkK0TBw4hxjZU7chsreETBwYgDz4kcYQWPKDgYMa7pt+QUUFjBI9I/Iz7hJJLDCh6R/hkxrpmEEMLfhfC38+fPIzY2FhnojTBTuL+Lo2vBthgskd6UiKvYhE9x7tw5VKpUSdE50t/AO9cOQXh0hOo8r14qxuddF6rKk7yLcc1zGNeI/ItxTR223JFH5aUVBc100kRGY8QnnESuMK4R6ZcR4xord+RxDIRERBRMGNeISC9YuSOvYCAk0h8jPuEkUopxjUh/jBjXWLkjr8lLK+IkK0Q6YsQgSGTP0bpfEimucZ0776dtny7XuXOfEde5M2JcY+WOvIqzaBLphxGDIJFanEWTSD+MGNdYuSOvYwWPSB8EgDKYVL8MP+UyGQ4reET6YMS4xqUQwCmjfYXTSRN5nztTRnde/RjCotV3fym5VIT1Pd7R5ZTRwYpxzTcY14i8j3FNHbbckc9wDB5RYDNi9xUid1jHNWdj9dzhaByU0rFRSs7VWlb78VvO0nT3fjhLX8nYLml7fmY68jPTHY49y89M11Q26/Os03F175Xk56ic9r/bf94CYdIf63ug5H5I74l0rP057jBiXAvzdwHIWKQumt2Smvu7KERkR2tA03MQJHKXt+Oa1DJo3ULoaJvWc7W2PKopl9Y8pJZRZ2WW+9lZ/g7LmampiOXTzZTPw2abk/zkrts+HdkyBAil98P+WEf7tTJiXGPLHfkcx+ARBSYjPuEkcldqjtkS19hy59mWO+nLvada7uTK7qn3y9V7pPSeO7puPbXcSZTeD/ufnW1Ty4hxjZU78gtW8IgCjxGDIJGncJIVosBjxLjGyh35DSt4RIFFCJPmFxGxgkcUaIwY1/xauduyZQvuvPNOJCUlwWQy4ZNPPrHZL4RAVlYWkpKSUKFCBWRkZOCXX36xOaaoqAhPPPEE4uLiEB0djV69euHo0aM+vApyByt4RBRMGNeIFTwi8ie/LoXw1Vdf4bvvvkPLli1x9913Y9WqVbjrrrss+6dNm4aXX34ZixcvRt26dfHSSy9hy5Yt+O233xATEwMAGDZsGD7//HMsXrwYVatWRWZmJk6fPo0dO3YgNDRUUTk4ZbT/jcjbj9mpdf1dDCLdc2fK6LafPqF5yuhtvd/S5ZTRnsa4RhJXcY3LKBApw7imjl9ny+zevTu6d+/ucJ8QAq+//jrGjx+Pvn37AgDef/99xMfHY+nSpXjsscdw7tw5LFy4EB9++CE6d+4MAFiyZAlq1aqF9evXo1u3bg7TLioqQlHRP39Qz58/7+ErI7Vmp9ZlBY/Iz4w4q5inMa6RxFVcs540g5U8Iu8wYlwL2DF3Bw8eREFBAbp27WrZZjab0b59e2RnZwMAduzYgatXr9ock5SUhMaNG1uOcWTq1KmIjY21vGrVquW9CyHFZqfWZRdNIj8y4tgEX2JcMx5XcY0VOyLvMmJcC9jKXUFBAQAgPj7eZnt8fLxlX0FBASIiIlC5cmXZYxx59tlnce7cOcvryJEjHi49acUxeET+Y8RZxXyJcc2YrOOa/dT1rqa8d8adpQxcnetoqn2l+ThaIkFNHmqWd1BzD5Qsz+Du8hDO0tOattJlJTy9BIc3eOJ+qGXEuBbwi5ibTLY3VwhRbps9V8eYzWaYzYH9P4CRcaFzIv/Q+rRSz084/YFxLbDZf9m0b1mz3q+01c1VXMtLK3Laime9z9UC1544V+l1uVMutXk4S99RWnLnOTtH68Lu9u+d2rK6W26lZbZOW46rz6J9Wkr2u3M/AKDOJjM2Zbg8zCEjxrWAbblLSEgAgHJPKo8fP2556pmQkIDi4mKcOXNG9hjSJ7bgEVGwYVzTB+lLqKMv1vb7lXK00Ln9fulLtaP9jr4Mq10QW825SlvUXKXtiZY7+wqB0tYfufOs83dUJrl9zshVwLS0VGkpt30eStKWezm6HmdpKdnvzv0AgAMZ7LqsRsBW7lJSUpCQkIB169ZZthUXF2Pz5s1IT08HALRq1Qrh4eE2x+Tn52PPnj2WY0i/WMEj8i2hseuKnp9w+hLjGnGZBCLfMmJc82vl7uLFi8jNzUVubi6Aa4PNc3NzcfjwYZhMJowePRpTpkzBqlWrsGfPHgwaNAhRUVG4//77AQCxsbEYMmQIMjMzsWHDBuzcuRMPPvggmjRpYplljPSNFTwi3xEAhNDw0pDXsWPH8OCDD6Jq1aqIiopC8+bNsWPHDk9fks8xrpErrOAR+Y4R45rqde7+/vtv2a4hu3btQtOmTRWntWnTJnTo0KHc9oEDB2Lx4sUQQmDSpEl45513cObMGbRp0wazZ89G48aNLccWFhZi3LhxWLp0Ka5cuYJOnTphzpw5qmYK43pAgY/LJBAp4856QM3+m4nQKPXjtkovF+Hne2YozvPMmTNo0aIFOnTogGHDhqF69eo4cOAAateujTp16qjO312Ma+QNrsYkMa4RKcO4po7qyl316tWxYMEC9OrVy2b7a6+9hgkTJuDKlSseLaAvMAjqAydZIXLNnSDY9D9jNQfBXf1ew5EjR2zylJvk45lnnsF3332Hb7/9VnVe3sC4Rt7krJLHuEbkGuOaOqq7ZT799NPo378/Hn/8cVy5cgXHjh1Dx44d8eqrr2L58uXeKCMRgGtdNEfk7fd3MYhIRq1atWzWWps6darD4z777DO0bt0a/fr1Q/Xq1dGiRQvMnz/fx6X9B+MaeYur1jvGNaLApse4prpyl5mZie3bt+O7775D06ZN0bRpU1SoUAG7du0q99STyNO40DmR97i7HtCRI0ds1lp79tlnHebzxx9/YO7cuUhNTcXXX3+Nxx9/HKNGjcIHH3zgy8u1YFwjb1Gyjp11XOM6d1znTi4Nud+tt3Odu/KMGNdUd8sEgAsXLmDo0KFYsWIFAGDBggUYOHCgxwvnK+y+oj/sykLkmDvdVxotH6e5+8ov/V9VnGdERARat26N7Oxsy7ZRo0YhJycH27ZtU52/JzCukcQb69xJ5zk73llcc7RmmJZ81Z7rz7Tt89B63d4ql6O85H7XkpY3yu3vde60St4YgoUZHzOuKaS65U56svn7779j165dmDt3Lp544gnce++95dblIfIWzqJJ5HnSYq9aXmokJiaiYcOGNtsaNGiAw4cPe/JyFGNcI2veWufO2Tp2rtbB4zp3XOfOWbnt81CStlHWuTNiXFNduevYsSP69++Pbdu2oUGDBnjkkUewc+dOHD16FE2aNPFGGYkcYgWPyLN8FQRvueUW/Pbbbzbb9u/fj+TkZE9ejmKMaxQouEwCkWcZMa6FqT1h7dq1aN++vc22OnXqYOvWrXj55Zc9VjAiJaQKHrtoErmvTJhg0rBwa5nKc5588kmkp6djypQpuPfee/HDDz/g3Xffxbvvvqs6b09gXKNAIlXwuqG5v4tCpHtGjGuaxtwBwO+//44DBw6gXbt2qFChAoQQMJn0uZo7xyboHyt4RNe4M+au3tJnNI9N+O3+V1Tl+cUXX+DZZ59FXl4eUlJSMGbMGAwdOlR13p7EuEaBxMhxzRfj5NzlzTFxZItxTR3V3TJPnTqFTp06oW7duujRowfy8/MBAI888gjGjh3r8QISKcHppIncJ4T2l1o9e/bE7t27UVhYiH379vm1Yse4RoHI3bjmzVkIvT3DoR4qON4oox6uW2+MGNdUV+6efPJJhIeH4/Dhw4iKirJs79+/P7766iuPFo5IDS6TQOSeawFNy9gEf5fcPYxr5A5Hyxx4qvJjv0yCozzlWM+K6OxcLWW1T9tVmu7eD2fpy/3s6Pz8zHTkZ6Y7fM/yM9M1lc36POt0XN17Jfk5Kqf97/aft0BYDsH6Hii5H9J7Ih1rf447jBjXVHfLTEhIwNdff41mzZohJiYGP//8M2644QYcPHgQTZo0wcWLF71VVq9h95XgYuSuLETudF+58cNnERoVqTrP0suF+P2hqaryDCSMa2TNX0shONtvHde4FIJ3z9OCSyE43+/PpRCMGNdUt9xdunTJ5smm5OTJkzCb/f+0gIizaBJpI9x46RnjGllTuxSC0pY7NVPHW7NeJkE6Tmmrm/2XeUfnam0dsU7bPh9PttxZVzbUtNxZT+vv7ZY768+C9LvWljtH5fZUy52vlkKwvgdK7oerlju3lkJw46VXqlvu7rjjDrRs2RKTJ09GTEwMdu3aheTkZAwYMABlZWX473//662yeg2fcAYntuCREbnTcnfDB89pfsL5x7+m6PIJJ8C4RvphH9eKeqTBvDpH0bmcrMNzeC99i3FNHdUtd6+++ireeecddO/eHcXFxXjqqafQuHFjbNmyBdOmTfNGGYk0YQseESnBuEbWXLXAaR1Xp6SVzdU++7impGLnqNXOU3wx1ktrC6O7LZPOOOuq626e3iy3s5Y/+5ZBpWkp2e/utdTZxB4Uaqiu3DVs2BC7du3CTTfdhC5duuDSpUvo27cvdu7ciTp16nijjESasYJHpIIR+6+AcY1sBWK3TOuKmXVcY7dMdstkt0wXDBjXNK9zF0zYfSX4sYsmGYVb3VcWj0eIhu4rZZcL8cegl3XZfSVYMa4FFvvKCWD75djVfkekuKali6B1fo7OlasgKMnHUYVS7jg5SibqsK+wqp0AxNE5ru6LWlrLqrbc0nYpj0Cl9X4wrqkTpuSgXbt2KU6wadOmmgtD5C3Sk05W8IjkaV3bR4+PCBnXyFMcVcwA2y/ZrlpEnO23Tn/PxKYwr85Bao5ZUVxzVFmx3+boy7XWSpxcmlrzkLsOR9cjl4/1dqlFqN2AHeXesy3LWgFp2arLlp+ZjsQZ2ZZ8tixrhcQZ2S7vvXSc0uuWyHWvdXUPfEm6J0rvR35mOtoN2GE51vp8d6/FSHFNoqjlLiQkBCaTCUIImEwmy3bpVOttpaWlXiimd/EJp3GwgkfBzp0nnLXfe17zE85Dg1/S1RNOxjXyJW+03EnnaIlrbLljy50/+KPlzkhxTaKocvfnn39aft65cyfGjh2LcePGoW3btgCAbdu2YcaMGZg+fTruuusurxXWWxgEjWVE3n7MTq3r72IQeYVbQXDhBO1BcMhkXQVBxjUKJoxrZC0QWu88iXFNHUXdMpOTky0/9+vXD2+++SZ69Ohh2da0aVPUqlULEyZM0GUQJGOZnVqXgZDI4BjXKJjYx7Vg+3IfSPRwbwO9fORdqmfL3L17N1JSUsptT0lJwd69ez1SKCJvm51a163Zu4iCkTQ2QctLzxjXKBhYxzV+ufce3lt9MWJcU125a9CgAV566SUUFhZathUVFeGll15CgwYNPFo4Im+SxioQ0f8YcMpogHHNSJRMoa9njGtEdgwY1xR1y7Q2b9483HnnnahVqxaaNWsGAPj5559hMpnwxRdfeLyARN7ULak5u2gS/Y8QJghhcn2gg/P0jHHNOBzNYGn/s15J3QUZ17xLD90y6R9GjGuqK3c33XQTDh48iCVLluDXX3+FEAL9+/fH/fffj+joaG+UkcirOAaPyIqOn1ZqxbhGgUpNRcL6OG/HNSNXcIx63bpmsLimulsmAERFReHRRx/FzJkzMWvWLAwdOpQBkHRtdmpddmUhMjDGNdJK6tKZmmO2eXmC9bTxjrqROsvHOq45O1dLWe3L5SpNd++Hs/SVdK+VtudnpiM/M93heyatgaeW9XnW6bh635Tk56ic9r/bf94CoYux9T1Qcj+k90Q61v4cUkfRUgj29u/fj02bNuH48eMoKyuz2ffCCy94rHC+wimjScJ18Ejv3JkyutY7ExFSQcOU0VcKceSxSbqcMlrCuEYSZ4uR2+93Z70yNfuVLNQtxzquebrFzZ1yqc1D6/pwvmhlVLoWnZq0vFFuR+sp2tO6bqCz/e5eS/LGECzM+JhxTSHV3TLnz5+PYcOGIS4uDgkJCTYLvZpMJl0GQSJJt6TmrOCRcWkdRK7zLi+Ma2TN1ZdQZwtfOztObbqO0s9LK7L5WckXbOu45uhcrV+8nS1I7cnKjqsyy/1s/a+0XWoRajdgR7n3bMuyVkicka26fPmZ6UBatiX/LctaAWnZTssqHecoP0fltn+g4KhypqQiZX9v5Ch5r5wdI90TpfcjPzMd7QbssNyT/Mx0JM7455wDGW5Ucg0Y11S33CUnJ2P48OF4+umnvVUmn+MTTrLHCh7plVstd/OytD/hfDxLl084AcY10g93Kklyca2oRxrMq3PcLJmxGHnMoT8wrqmjeszdmTNn0K9fP2+UhShgSE86iQzFgFNGA4xrZMvV2Dmt4+pcHe9sv33rmJZ85eKaOxU7X4z10jo20J0xha4466rrbp7eLLezMXuOxk4qSUvJfnevpc4mN843YFxTXbnr168f1q5d642yEAUUVvDIcAwYBAHGNbIldX2UXs72A8onVPFEt0zpOKVfwu3PtY5r7lYirNO2z8eTlR1H3RPlKg6OxkNan+etCVWsPwvS787K6iw/R+V2VPmS+7y5Gk8n/Sv3sj7OGVfdMqXyK7kfriZU8Ui3TAPFNdXdMqdOnYqZM2fijjvuQJMmTRAebtvdY9SoUR4toC+w+wo5wy6apCdudV+Z40b3leH67L4CMK6R98mNnVK631WaarsISnFN7ly5CoKSfBxVRuWOk6Nkog5HY/2UlEvud/u0PdHtUmtZ1ZZb2i7lEai03g/GNXVUV+5SUlLkEzOZ8Mcff7hdKF9jECRXWMEjvXArCM6epD0IjpioyyAIMK6RexxVzADPfcl2NTGH0oqQ/bmuKnhqygV4b0IVR9fh6Hqc5SNt99aEKtJ5qTn/TJTi6n1Tkp9cpd9Zy7CnKqbusJ4QRcn9cDWhCuOaOpqWQgg2DIKkBCt4pAfuBMGab2sPgkdH6jMIBivGtcASaC139hU8R/sdYcudOmy5s+WPljsjxjXVSyEQGRWXSaCgZ8Apo4ncpaTlztVYJmf7PdVyt2diU5hX59hsk4trWitxalrutFRwvN1yJy1poKZsbLkrz9Mtd24xYFxT3HI3ZswYRQnOnDnTrQL5A59wkhoj8vZjdmpdfxeDyCG3nnC++aL2J5yjXtDdE07GNaJrfBXXAqHiEYj00OrmT4xr6ihuudu5c6fLY6wXfiUKVrNT6zJAUVAyiWsvLefpEeMa0TW+imuMm47xvniP0eIaoKJyt3HjRm+Wg0hXnI1VICJ9YFwj+oev4hofjhJ5l+p17ojoGq6DR0HHgOsBEdE/fBHX5MaMEXmFAeMaK3dEbmAFj4KKMGl/EZEsqTKTmuN4kXNX+12l6U557ElxzbosSstkn7azWTcdpa8kH0fpq7lfcr/bp+0JWsvqKA253623B3ql2RP3QzUDxjW/Vu62bNmCO++8E0lJSTCZTPjkk09s9g8aNAgmk8nmdfPNN9scU1RUhCeeeAJxcXGIjo5Gr169cPToUR9eBRkdK3gUNAz4hNPTGNcoGIw81gZv1/je38Ugcp8B45pfK3eXLl1Cs2bN8Pbbb8sec/vttyM/P9/yWr16tc3+0aNHY9WqVVi2bBm2bt2KixcvomfPnigtLfV28YksWMGjoGDAIOhpjGsULFjBo6BgwLjm13Xuunfvju7duzs9xmw2IyEhweG+c+fOYeHChfjwww/RuXNnAMCSJUtQq1YtrF+/Ht26dXN4XlFREYqK/hnMe/78eY1XQPQProNHumfA9YA8jXGNgolUwRt5rI2/i0KkjQHjmqbK3dmzZ/HDDz/g+PHjKCsrs9n3r3/9yyMFk2zatAnVq1fHddddh/bt2+Pll19G9erVAQA7duzA1atX0bVrV8vxSUlJaNy4MbKzs2WD4NSpUzFp0iSPlpMIYAWPSK8Y14gcYwWPSF9UV+4+//xzPPDAA7h06RJiYmJs1gAymUweDYLdu3dHv379kJycjIMHD2LChAno2LEjduzYAbPZjIKCAkRERKBy5co258XHx6OgoEA23WeffdZm8drz58+jVq1aHis3GRsreKRbWgeR63jgOcC4RuSKVMHrhub+LgqROgaMa6ord5mZmRg8eDCmTJmCqKgob5TJon///pafGzdujNatWyM5ORlffvkl+vbtK3ueEMLpwrNmsxlmc2DPKET61i2pOdfyId0x4mKvAOMaeZ8UC+Rigqv9njpHbXmsdYOyuKa0XFrjo6P0laRlf4yjc9y5p87yVFtWR2m4Ol8P3zc8cT/UMmJcUz2hyrFjxzBq1CivB0BHEhMTkZycjLy8PABAQkICiouLcebMGZvjjh8/jvj4eJ+Xj8ga1/Ih3THgwHOAcY1IKcY10h0DxjXVlbtu3brhxx9/9EZZXDp16hSOHDmCxMREAECrVq0QHh6OdevWWY7Jz8/Hnj17kJ6e7pcyElnLSyvCiLz9/i4GETnBuEaByp2KlLcqYYxrRIFNdeXujjvuwLhx45CVlYUVK1bgs88+s3mpcfHiReTm5iI3NxcAcPDgQeTm5uLw4cO4ePEixo4di23btuHQoUPYtGkT7rzzTsTFxaFPnz4AgNjYWAwZMgSZmZnYsGEDdu7ciQcffBBNmjSxzDJG5G+zU+tymQSiAMa4Ru5wtAC5pypW1i1l1mkqWQBa6blaymod1xwtSK104W2lnKUv97Oj8/Mz05Gfme7wPcvP1PbwxPo863Rc3Xsl+cktbu9s4fdAaFm1vgdK7of0nkjH2p9D6piEEKoaHkNC5OuDJpNJ1To8mzZtQocOHcptHzhwIObOnYu77roLO3fuxNmzZ5GYmIgOHTpg8uTJNoPECwsLMW7cOCxduhRXrlxBp06dMGfOHFUDyc+fP4/Y2FhkoDfCTOGKzyNSg5OskC+UiKvYhE9x7tw5VKpUSdE50t/A5GkvISQyUnWeZYWF+PPp51XlGUgY18ia/RdK+zFB1vvVjBdyNV7N2X7rfWrHc7tzrivWcc1b48yldLVety/Gv9vn4U6e3iy3ddpylOat5vPs7rUkbwzBwoyPGdcUUl25C0YMguQrrOCRt7lVuXvlZe1B8JnxugyCwYpxzXfkvjB76ou5oy/7SisASs7V+sVbOu/rv3Ix8lgbp2m6++XeWZmVVCKk7VKLULsBO8q9Z1uWtULijGzVZcvPTLecl5pjtqTj6t4ryc/RZ0uucuatCrwW0j1Rej/yM9PRbsAOy7HW5+elFTGuqaS6WyYRaSctk0AUkAw48JyI3CMtk0AUkAwY1zS13G3evBmvvfYa9u3bB5PJhAYNGmDcuHG47bbbvFFGr+MTTvI1tuCRt7j1hHOKG084n9PnE04J4xpJ2C1TOev0vBXX2C3TcwzZLdOAcU11y92SJUvQuXNnREVFYdSoURg5ciQqVKiATp06YenSpd4oI1HQYQseBSJpPSAtLz1jXCNreWlFNi9n+wHlE6poXffN/gu53EQpWs/VOmmFddqpOWabuGafpjsTY9h3x7RPT+5n6zXVrCfu8MaEKtafBel3Z2V1lp+jctt/ruw/a3L3wFnaci/r45xxdoz1PVByP1xNqHIgQ3vF0IhxTXXLXYMGDfDoo4/iySeftNk+c+ZMzJ8/H/v27fNoAX2BTzjJX9iCR57mTstd7Ze1P+E8NF6fTzgBxjXyPrmxU0r3u0pTbauIq3PlKghK8pHimnWFUq4McpSOI5SO1dLS5OgcT7eaaS2r2nJL26U8ApXW+8G4po7qlrs//vgDd955Z7ntvXr1wsGDBz1SKCKjYAseBRQDjk0AGNfIPUpa7hy1mCjdL9fioXRCFVfnyrUyyrXqyF239LMU1xy1birJw1nFxb7sjibokLsP0sQdUiuRdaujdQuTVDalnC2FIFdWpS2Fjspp/7v1dlddLn1FbikEufvh1aUQDBjXwtSeUKtWLWzYsAE33nijzfYNGzaomqaZiK6RAiFb8MjvtAY0HQdBgHGN3KOkQuBOy52j9O0rCnJ5az1XScuds7SluCbNoqkmD/s07fNy1vrj7D6k5piBtGuzU+bNKN8ClgjHMzq6Yj3jZV5aERKRrais0nHOOCqLHlrupHui9H4gLRt5M2A51vp8txkwrqmu3GVmZmLUqFHIzc1Feno6TCYTtm7disWLF+ONN97wRhmJgh4reBQItI4z0PPYBIBxjcgbpFk0u6G5v4tCBmbEuKZptsxVq1ZhxowZlnEI0qxivXv39ngBfYFjEyhQeKqfPxmXO2MTUiZN0Tw24eDE53Q5NkHCuEbkHYxr5C7GNXU0rXPXp08fbN26FadOncKpU6ewdetW3QZAokCSl1bEMXjkPwYcmyBhXCOtlIy581T6zrZpPVdrWeXG3Nmn6Ym45ix9uZ8dne+t2TKt87EfLyZ375WOubMvp/3v9p+3QB5zZ/2v9c8cc+dZmlrugg2fcFKgGZG3H7NT6/q7GKRDbj3hzHLjCWeWPp9wBivGNQo0jGukFeOaOorG3FWpUgX79+9HXFwcKleuDJPJJHvs6dOnPVY4IqOanVqXgZB8zkhjExjXiP7hi66TjGvyAmkylGBjpLgmUVS5mzVrFmJiYiw/OwuCROQZs1PrcpIV8i0DzSrGuEb0D+ulBLxZwWBcc4yVOi8yUFyTKKrcDRw40PLzoEGDvFUWIrLDWTTJpzQ+4dRjEGRcIyrPkwt4y2FcI58yUFyTqJ5QJTQ0FMePHy+3/dSpUwgNDfVIoYjoH1zonHzGgAPPAcY18j65iTGU7neVpjvlsSe3SLbSfBxNtGJPimta8nE2kYuS8+R+t0/bE7SW1VEacr9bbw+EyVSc8cT9UM2AcU115U5u/pWioiJERES4XSAiKo8VPPIJAwZBgHGNyB+kdfCIvMqAcU3xIuZvvvkmAMBkMmHBggWoWLGiZV9paSm2bNmC+vXre76ERASAXVkoOE2dOhXPPfcc/v3vf+P111/3ad6Ma0T+JVXwRh5r4++iEHmMP+MaoKJyN2vWLADXnnDOmzfPpqtKREQEateujXnz5nm+hERkwQoeeZOvZxXLycnBu+++i6ZNm2pLwE2Ma0T+xwoeeZPR4hqgonJ38OBBAECHDh2wcuVKVK5c2WuFIiJ5rOBRMLh48SIeeOABzJ8/Hy+99JJfysC4RhQYWMGjYBAIcQ3QMOZu48aNDIBEfsYxeOQVbo5NOH/+vM2rqEh+xr0RI0bgjjvuQOfOnb12OUoxrhH5H8fgkVcYMK6prtzdc889eOWVV8ptf/XVV9GvXz+PFIqIXGMFjzxN6r6i5QUAtWrVQmxsrOU1depUh/ksW7YMP/30k+x+X2NcIwoMrOCRpxkxrpmE3DRhMqpVq4ZvvvkGTZo0sdm+e/dudO7cGX///bdHC+gL58+fR2xsLDLQG2GmcH8Xh0iVEXn7MTu1rr+LQQGiRFzFJnyKc+fOoVKlSorOkf4G3vjMFIRGRqrOs7SwEL+/8hyOHDlik6fZbIbZbDvN9ZEjR9C6dWusXbsWzZo1AwBkZGSgefPmfhl4DjCuUWDy9npzgUwPcc0b74+R33NnGNfUUd1yd/HiRYdTQ4eHh+P8+fMeKRQRKTc7tS5G5O33dzEoWLgxXXSlSpVsXvYBEAB27NiB48ePo1WrVggLC0NYWBg2b96MN998E2FhYSgtLfXyBZbHuEaByMhf8j0V17y5hpq0HqAn8wqG9zwg19ozWFxTXblr3Lgxli9fXm77smXL0LBhQ48UiojUmZ1al100yX0+WA+oU6dO2L17N3Jzcy2v1q1b44EHHkBubq5fFg1nXCN3BeQXWp3zRFyzryzlZ6YjPzPd4bFy212lL50n5aU0HWfH6fnzZH1PAGX3QzrG/l+PMGBcUzxbpmTChAm4++67ceDAAXTs2BEAsGHDBnz00Uf4z3/+4/ECEpEy3ZKa66IrCwUuX0wZHRMTg8aNG9tsi46ORtWqVctt9xXGNbJm/8XavoJgvV/ap6TFxVWXO2f7rfep7brnzrn+TBuwjWtar9v6vMQZ2bLHO9vnTOKM7HJ5KCmrXH6Oyu0p1mnLUZq3s2Os74GS+yHdC/t/JXU2mbEpw2lxZBkxrqluuevVqxc++eQT/P777xg+fDgyMzNx9OhRrF+/HnfddZcXikhESrEFj9zigyecgYhxjazlpRXZvJztB/6p7KXmmG1ejs5zla8j9l/IrX921cKj5FytrUTWadvnY5+mOy1RUlyTS1/uZ+uKt7Rdarlz9J5pbS3Kz0y3+SxIvzsrq7P8HJXb/nNl/1lT2j3UOm25l/Vxzjg7xvoeKLkf0nti33In7T+Q4UYl14BxTfWEKsGIA88p2HAdPONyZ+B53bFTEGrWMPC8qBD7X3tOVZ7kXYxr2mlpuVOaLlvutOehNq55swVMLi+537WkpeeWO/v97l5L8sYQLMz4mHFNIdUtd0QU+LhMAhGRNmy5U8ZXLXdSutZxjS13bLkjeapb7kpLSzFr1ix8/PHHOHz4MIqLi232nz592qMF9AU+4aRgxRY843Gr5S7TjSecM/T5hBNgXCPvc9Ri4qilR02roDstPK7OlasgqBlbaF2hlDtOjrN8pLhmX2FV29Lk6BxPt5rJVa7dafF19Z55u5XSHVrvB+OaOqpb7iZNmoSZM2fi3nvvxblz5zBmzBj07dsXISEhyMrK8kIRiUgrtuCRKgYcmwAwrpF7lLTcOWoxUbpfrsVDyRdjJefKtTLKterIXbejtO1bN5Xk4aziYt2CJx1r3/1P7j7kpRXZtNxZtzpatzBJZVPKugXOuvXJ0b2w3qakpdBROe1/t97uqsulr1jfAyX3w1XLnVsMGNdUt9zVqVMHb775Ju644w7ExMQgNzfXsm379u1YunSpt8rqNXzCScGOLXjG4c4TznpPan/C+dssfT7hBBjXyPvYcuf4ODlKxnJ9/VcuRh5rw5Y7q+1SHoHKHy13RoxrqlvuCgoK0KRJEwBAxYoVce7cOQBAz5498eWXX3q2dETkEWzBI0UM+IQTYFwj0qORx9rg7Rrf+7sYFOgMGNdUV+5q1qyJ/Px8AMCNN96ItWvXAgBycnIcrtpORIGBFTxyyYBBEGBcI/ewW6Zvu2Vap2/dRVMuH+vz2C3TN9gt079Ud8t85plnUKlSJTz33HP473//i/vuuw+1a9fG4cOH8eSTT+KVV17xVlm9ht1XyEjYRTO4udV95d9udF95Q5/dVwDGNfI+dst0fJwcJd0yrdNXEtfYLdP//NIt04Bxze117rZv347s7GzceOON6NWrl6fK5VMMgmQ0ngpcFHjcCYL1R2kPgr++qc8g6AjjGpH+MK4FL8Y1ddxe5+7mm2/GmDFjdBsAiYxIetJJZMOA3VccYVwjNZR0y/RU+s62aT1Xa1nlumU6StPd++EsffsWPGfne2udO+t87LsUyt17pd0y7ctp/7v95y2Qu2Va/2v9M7tlepamlrsPP/wQ8+bNw8GDB7Ft2zYkJyfj9ddfR0pKCnr37u2NcnoVn3CSUfFJZ/Bx5wlng5Han3Due1ufTzgljGtEwYFxLfgwrqmjuuVu7ty5GDNmDHr06IGzZ8+itLQUAHDdddfh9ddf93T5iMiLAmXwNQUIAz7hBBjXiIIJ4xrZMGBcU125e+uttzB//nyMHz8eoaGhlu2tW7fG7t27PVo4IvI+dtEkCwMGQYBxjWy56l6pteul0i6Urva5k6+nKz2+6A6opfuodVzzRUXPk91Q3e0uqzRtuZfSvNV8nt29ljqb3DjfgHFNdeXu4MGDaNGiRbntZrMZly5dUpXW1KlTkZaWhpiYGFSvXh133XUXfvvtN5tjhBDIyspCUlISKlSogIyMDPzyyy82xxQVFeGJJ55AXFwcoqOj0atXLxw9elTtpREZVrek5hiRt9/fxSDyC8Y1suZqWn5n+1ylq3W/9T538vV0d0Vvpm0/+6Pa9KW45s0umvazPkrcyVPr9apN29kyFErydjULqic/Gwcy2M1WDdWVu5SUFOTm5pbb/tVXX6Fhw4aq0tq8eTNGjBiB7du3Y926dSgpKUHXrl1tgun06dMxc+ZMvP3228jJyUFCQgK6dOmCCxcuWI4ZPXo0Vq1ahWXLlmHr1q24ePEievbsaelaQ0SuzU6tyxY8gzO58dIzxjWyxpa7wEjbfu06Ldft7bhmXUZHaxNqofeWO0drDvqz5c6IcU115W7cuHEYMWIEli9fDiEEfvjhB7z88st47rnnMG7cOFVprVmzBoMGDUKjRo3QrFkzLFq0CIcPH8aOHTsAXHu6+frrr2P8+PHo27cvGjdujPfffx+XL1/G0qVLAQDnzp3DwoULMWPGDHTu3BktWrTAkiVLsHv3bqxfv95hvkVFRTh//rzNi4i40LnhGbD7CsC4RrbUttwpnS1Ta8udVHFw1EqkpMLo6lx3Zsu0XlDbWbnc+XLvaMF1uYqDo9Yz67jmrdkyrT8L0u9aZ8u0bj3z9GyZvmi5A2BzD5TcD1ezZbrVcmfAuKZptsz58+fjpZdewpEjRwAANWrUQFZWFoYMGeJWYX7//XekpqZi9+7daNy4Mf744w/UqVMHP/30k02Xmd69e+O6667D+++/j2+++QadOnXC6dOnUblyZcsxzZo1w1133YVJkyaVyycrK8vhds4qRnQNFzrXL3dmFWv0uPZZxX6Zp89ZxSSMa+RN9pUTgIuYK6mEKE1fyT2wj2uOznHnnnqyrI7ScFZuabuUR6DSej8Y19QJ03LS0KFDMXToUJw8eRJlZWWoXr06AODYsWOoUaOGpoIIITBmzBjceuutaNy4MQCgoKAAABAfH29zbHx8PP7880/LMRERETYBUDpGOt/es88+izFjxlh+P3/+PGrVqqWp3ETBqFtSc6TlliKneajrgyl4aH1aqeMnnBLGNdJKrgUmcUa25WdXLSLO9udnpiNxRrblX0ueadmWf52VzdW51vvsy+OMddrS9cqVyxN5yKVv/7N9PtL2bklAWm4pPvvwtmsb07LLv3f/S0dNBancvYX8vbDZBjgsq/11lyuno3JblV3uHviS0s+Go+uzf7/dvhYDxjW3FjGPi4tD9erVUVBQgCeeeAI33nij5rRGjhyJXbt24aOPPiq3z2Sy7fkqhCi3zZ6zY8xmMypVqmTzIiJbOc1DkZbL8T1kLIxrRMHrsw9vQ6+HvvV3MYi8SnHl7uzZs3jggQdQrVo1JCUl4c0330RZWRleeOEF3HDDDdi+fTvee+89TYV44okn8Nlnn2Hjxo2oWbOmZXtCQgIAlHtSefz4cctTz4SEBBQXF+PMmTOyxxCRNjnNQzkGz2gMNC6BcY08od2AHUickY12A3bYvDyZvvW/ctu0nqu1rNbnu0pTax5Sq42z9OV+lsv/sw9vw67MOTZl99T75eo9UnrPHV23/X2W+7x58rPnLqX3w/5nZ9s0MVBcA1SMuRs+fDg+//xz9O/fH2vWrMG+ffvQrVs3FBYWYuLEiWjfvr3qzIUQeOKJJ7Bq1Sps2rQJqamp5fYnJSXhySefxFNPPQUAKC4uRvXq1TFt2jQ89thjOHfuHKpVq4YlS5bg3nvvBQDk5+ejZs2aWL16Nbp16+ayHFK/XI5NIHKMY/D0w52xCY0fnYLQCA1jE4oLsedd/Y1NYFwjX+GYO8fHyfHGmDv7YxzFNY658y5/jLkzWlwDVIy5+/LLL7Fo0SJ07twZw4cPx4033oi6devi9ddf15z5iBEjsHTpUnz66aeIiYmxPMmMjY1FhQoVYDKZMHr0aEyZMgWpqalITU3FlClTEBUVhfvvv99y7JAhQ5CZmYmqVauiSpUqGDt2LJo0aYLOnTtrLhsR/UOabYwVvCBnsLEJjGvkCY4qZoDjdb60jLlzVOFQWglRcq6jNLRW4uTS1JqH3HU4uh65fKy3S2O72g3YYYlrI4+1AQBsWdbK7TF3qTlmbFnWCokzsl3ee+k4pdctcfRZsy6zpyqm7pDuidL7kZ+ZjnYDdliOtT7f7WsxWFwDVFTu/vrrL8t6PzfccAMiIyPxyCOPuJX53LlzAQAZGRk22xctWoRBgwYBAJ566ilcuXIFw4cPx5kzZ9CmTRusXbsWMTExluNnzZqFsLAw3Hvvvbhy5Qo6deqExYsXIzSUk0EQeQoreMHPJK69tJynR4xrRMY28lgbvF3je0sFj4KP0eIaoKJyV1ZWhvDwf7p2hIaGIjo62q3MlfQINZlMyMrKQlZWluwxkZGReOutt/DWW2+5VR4ico4VvCBnsCecjGtEJFXwmqKVv4tC3mCwuAaoqNwJITBo0CCYzdeaggsLC/H444+XC4QrV670bAmJKKBwmQQKFoxr5AlblrUCMoH8ZbbbE+GZ6ei3LGuFRGRb/pXbpvVcV2koSRuA0zS15iF1z3NWZrmfHZVVruxN0Qq9HvoWOTPci2tSevZ5OLr3aq9bIne+q3vgD0rvh/2x9ueQOoonVHn44YcVJbho0SK3CuQPHHhOpB5b8AKTOwPPmw7WPvB813v6G3jOuEa+wglVHB8nxxcTqjg6R4prnFDFO/wxoYrR4hqgonIXzBgEibQZkbcfs1Pr+rsYZMWtIPiwG0FwkT6DYLBiXCPSxj6uBcIEJUbHuKaOW4uYE5GxzU6ty3XwgomWtYCCYE0gIm+TWipSc8yWl5r9rtJ0pzxy+x291Kbt7By5PFzl4yh9NfdL7ndpm31cc6dip7Wszsrp6j0LZJ64H6oZMK6x5Q58wknkLj7ZDBzuPOFsNlD7E86f39fnE85gxbhG5B7GtcDBuKYOW+6IyG1y6+6QzhjwCScRkSOMa0HCgHGNlTsi8oi8tCKMyNvv72IQERFpZj+pDeMa6Q0rd0TkMbNT6zIQ6phJCM0vIqJgYN8Vk3FN34wY11i5IyKP4iQrOmbA7itkPNYtM3qYhIL8j3FNxwwY11i5IyKP65bUnIFQh0xC+4sokNjPvCi3flxeWhEnzSBFGNf0yYhxjZU7IvKKbknN2ZVFbwz4hJOCk1RpkypuRqjA2bdIkucxrumQAeMaK3dE5DXsyqIvRnzCSaQnzipt9i2Sas4l5RjX9MWIcY2VOyLyKnZlISJSz1FlzJ0WSD21XgZ6RdRbcS3Qr5v0gZU7IvI6dmXRCQN2XyEKVHqqjHmap9aY82ZlyT6ueSKvYHjPA66CasC4xsodEfnE7NS6SMst9XcxyAkjdl8hcld+ZrrDlyfTt/5XbpvWc7WW1fp8V2lqySMvrUg2XUfX4ygfqbJkX1ZHv2spo3Vck8qrpKyu8nOUhrNyO7sHvmb/vqm5H576bFozYlwzCaHjhRw85Pz584iNjUUGeiPMFO7v4hAFta//ykW3pOb+LkbQKhFXsQmf4ty5c6hUqZKic6S/ga3ufRmhEZGq8ywtLsSOj8erypO8i3FNO/uWB/vWFLmZN5Wk6+x4Z/ut97lKx5Pn+jNt+zy0Xre3ymXNPq65k6c3y22dthyleav5PLt7LckbQ7Aw42PGNYVYuQODIJGvsYLnPe5W7sLC1QfBkqv6DYLBinGN9M4TlRtvV+ys0//6r1xkPDIU5tU5XstPD7xxzxnX1GG3TCLyOU6yQkTBwnotPfv19TydvrNtWs/VWlb763aWppY8rCsIztJ3tgSEdcsR8E/3P0fvmbtdRzMeGYpNC+Zbfnd175Xk56ic9r/bf978PebN+p5YX6ez+yG9J/bdMf19LXrFyh0R+UW3pOYcgxdohND+IjKoLctaIT8zHVuWtbJ5eTJ963/ltmk9V2tZrc93labWPKQv+c7Sl/vZWf72ZffE+2VenYOmM4aj10Pfuiyrq/wcXbf9fZb7vHnys+cuV9fuqtweuRYDxjV2ywS7rxD5E7toepY73Vda3/OS5u4rP/73eV12XwlWjGvaccydchxzZ5uXxJ24xjF35bkz5s6IcY0td0TkV+yiGUAMOGU0kb28tCKbl7P9gPJuma6+3Lqq2ElpWv+spFumq3Pd6ZYppWefjye6ZUqsKxtqumVK99P6PE93y5TStP4s5Gem28Q1td0yHZXbU90yrdOWe1kf54yzY6R7Il2nq/fOVbfMAxluVHINGNfYcgc+4SQKBGzB8wx3Wu7S+mh/wpmzSp9POIMV41pgcdRiYj+mzNl+V2mqbRVxda5cBUFJPo4qlHLHyVHSImRfYVXb0uToHE+3mklxTW1Z1ZZb2i7lEai0vneMa+qE+bsARETAPy14rOD5kdanlYZ/REhGJtfVzfoLq6sWEWf7HVU4lFZClJzrKA2tlTi5NLXmIXcdcl3+nFV8rCf6aDdgR7n3bMuyVkBatuqy5WemI3FGtiWfLctaIXFGNlJzzOXimnX5peOUXrdErlult7vHqiHdE/v7Iffe5Wemo92AHZZjrc93+1oMGNfYcgc+4SQKJKzgucetJ5x3ufGE8xN9PuEMVoxrgYUtd46PkxMsLXdSOl//lYuRx9qw5c4fLXcGjGscc0dEAYVj8PzHJLS/iIjIsZHH2uDtGt/7uxiGZMS4xm6ZRBRw2EXTT7RO/8wOIGRg7JbJbply3TKty9oNzW3G4LFbpq+6ZRovrrFbJth9hShQsYKnnjvdV9rcOVlz95XvP5+gy+4rwYpxLbCwW6bj4+QEW7dM67KqjWvslsm4phZb7ogoYLEFz8cMOPCcyF1suWPLnZKWO2m/FNeazhjOljtOqOIVHHNHRAGtW1JzpOWW+rsYhmDEsQlE7tqyrBXyM9OxZVkrm5cn07f+V26b1nO1ltX6fFdpas1Dqow5S1/uZ2f525fdU++Xq/dI+rnpjOHo9dC3suk4um77+yz3efPkZ89dSu+H/c/OtqllxLjGbplg9xUiPRiRtx+zU+v6uxgBz53uKzffob37yvYv9dl9JVgxrhEFPj3EtUBoCWRcU4ctd0SkC7NT6zodo0EeIA081/IiIiJV9BDX/F2xc5sB4xord0SkG3lpRRiRt9/fxQhaRuy+QkTOJzfRYz56IsU13hvvMGJcY+WOiHRldmpdVvC8RbjxIiIiTdaebYKu1+32dzGCkwHjGit3RKQ7rOB5hxGfcBIFKl+25Piq653SfPTQiuXJMualFTGueYkR4xord0SkS7NT6+Lrv3L9XYzgUia0v1SYOnUq0tLSEBMTg+rVq+Ouu+7Cb7/95qWLIlInNcds83K2X226avbbLyWgNB1n6Xq60uSttB1du9br9lZFUe79cSdP67jmjXJb3xO5l9K81Xye3b2WOpvcON+AcY2VOyLSrW5JzfmkU4c2b96MESNGYPv27Vi3bh1KSkrQtWtXXLp0yd9FI0JeWpHNy9l+iZIvr65arZztd7RmnlLunOvPtAHbmRq1Xrf1efmZ6ZZlBuzJbXclPzO9XB5KyiqXnxTXvHE/re+J3Mv6OCVpOWJ9D5TcD+le2P8rOZAR+JO6BFJc41II4JTRRHqnh+mkfcWdKaPTO0/SPGV09vqJOHLkiE2eZrMZZrPrL70nTpxA9erVsXnzZrRr1051/lQe45p2zlrQ7PdrWYhby34lC3UrSdfT09p7M237PLRety+m8leyaLvatLwR1xwtim5P6T1T83l29z1I3hiChRkfM64pxJY7ItI9dtH0DBM0jk343/m1atVCbGys5TV16lRF+Z47dw4AUKVKFe9cGJEKalvu5Lq6OTrPVb6O2H8ht/5ZSdc4V+dq7TJnnbZ9Pp7qpmhdZrn05X62boWStkstd47eM0+03EnpuCqrs/yktOy7aNp3m5T7vLmquEn/+qLlTun9kN4T+5Y7ab87LXdGjGt+bbmbOnUqVq5ciV9//RUVKlRAeno6pk2bhnr16lmOGTRoEN5//32b89q0aYPt27dbfi8qKsLYsWPx0Ucf4cqVK+jUqRPmzJmDmjVrKioHn3ASBYev/8pFt6Tm/i6GX7nTcndLpyyEhWl4wllSiO82ZGl6wimEQO/evXHmzBl8++23qvMONIxr5IijFhNHLT1qWgXdaZlyda5cBUFJPo4qlHLHyVHSImRfYVXb0uToHE+39mktqzX7uObqPQvkdem03g/GNXX82nKntH/q7bffjvz8fMtr9erVNvtHjx6NVatWYdmyZdi6dSsuXryInj17orS01JeXQ0R+1i2pOVvw3ODurGKVKlWyeSnpujJy5Ejs2rULH330kZevzjcY14xHScudoxYTpfvlWjyUfDFWcq5cK6Ncq47cdTtK2751U0kezioujtK37/4ndx/y0opsWu6sWx2tW5iksill3QJn3frkrKxKWwpTc8yWuGbfQmr/ss7D36zvgZL74arlzh1GjGthfsn1f9asWWPz+6JFi1C9enXs2LHDpn+q2WxGQkKCwzTOnTuHhQsX4sMPP0Tnzp0BAEuWLEGtWrWwfv16dOvWrdw5RUVFKCr653/c8+fPe+JyiCgASIHQ6C14evDEE0/gs88+w5YtWxS3SAU6xjUi8rSRx9rg7RrfY+SxNv4uCrkQCHEtoMbcyfVP3bRpE6pXr466deti6NChOH78uGXfjh07cPXqVXTt2tWyLSkpCY0bN0Z2drbDfKZOnWrTf7ZWrVpeuBoi8he24GnkakFXZy812QiBkSNHYuXKlfjmm2+QkpLiqSsIOIxrROQJUgWPVDJgXAuY2TLl+qcuX74cFStWRHJyMg4ePIgJEyagpKQEO3bsgNlsxtKlS/Hwww/bPLEEgK5duyIlJQXvvPNOubwcPeGsVasWxyYQBRkjtuC5MzbhtoyJmscmfLtpkuI8hw8fjqVLl+LTTz+1GYsWGxuLChUqqM4/UDGukYRj7hwfJ4dj7uTLLRfXOObOlpHjml+7ZVqT+qdu3brVZnv//v0tPzdu3BitW7dGcnIyvvzyS/Tt21c2PSEETCaTw31KpzElIn1jF02Vyv730nKeCnPnzgUAZGRk2GxftGgRBg0apKEAgYlxzRjkxq5Zf2F1NZbL2X5HFQ41Y+5cnesoDa2VOLk0teYhdx2OrkcuH+vt0liudgN2lHvPtixrBaRlqy5bfmY6EmdkW/LZsqwVEmdku7z30nFKr1sixTX7Lpqu7oEvSfdE6f3Iz0xHuwE7LMdan+/2tRgwrgVE5U5N/9TExEQkJycjLy8PAJCQkIDi4mKcOXMGlStXthx3/PhxpKdrm9aWiIIHK3jKmYSASUNnDrXnBEiHEa9iXCMib+EYPOWMGNf8OuZOS//UU6dO4ciRI0hMTAQAtGrVCuHh4Vi3bp3lmPz8fOzZs4dBkIgAcAyeYj4amxDMGNeIyBc4Bk8hA8Y1v1buRowYgSVLlmDp0qWIiYlBQUEBCgoKcOXKFQDAxYsXMXbsWGzbtg2HDh3Cpk2bcOeddyIuLg59+vQBcK0v65AhQ5CZmYkNGzZg586dePDBB9GkSRPLLGNERKzgkS8wrhGRr7CCR474tVumq/6poaGh2L17Nz744AOcPXsWiYmJ6NChA5YvX46YmBjL8bNmzUJYWBjuvfdey2KvixcvRmhoqC8vh4gCHLtouiDEtZeW8wgA4xoR+ZZUweuG5v4uSmAyYFwLmNky/UmaUYezihEZQzBX8NyZVax9+gTNs4ptzp6sKk/yLsa1wMLZMh0fJ4ezZaorNwDLJCv+nkzFGX/MlmnEuBZQ69wREfkCu2jKkJ5wankREZHfsIumDAPGtYCYLZOIyNfYRbM8U9m1l5bziIyKSyFwKQRfLoXg6LMmbe+GwIhrgbQUghHjGrtlgt1XiIxsRN5+zE6t6+9ieIw73VcybhqvufvKph9e1mX3lWDFuGYsgbC2GQUOxjVjxzV2yyQiQ5udWhcj8vb7uxhERJqxYkfWGNeMjZU7IjK82al1OQYPMOR6QEREwYhx7X8MGNdYuSMiAidZAQCTEJpfREQUWBjXjBnXWLkjIvofwwdCA84qRkQUzBjXjBfXWLkjIrLSLam5cccqCABlGl76jYFENqTZFImCCeOahpeO4xord0REdjhWgciYpOnXrV/2nO1zxtXxzvZb73MnX7Xn+jNt+3S1Xre3yuUoL7nftaTl6XJbxzX7z7j9Z1pJ3mo+z+5eS51N3n8PgwmXQgCnjCYixwJhvSC13JkyumOLZxAWqmHK6NJCfLPzFV1OGR2sGNeIyBHGNYV56jiuseWOiEiG4cYqCGgcm+DvghN5DlvuAiNt+3TZcue+1ByzJa4ZpuXOgHGNlTsiIicMVcEz4MBzIiKjGXmsDd6u8b2/i+EbBoxrrNwREblgmAqelkHn0ouIiHTDMBU8A8Y1Vu6IiBQwQgXPiOsBEREZlREqeEaMa6zcEREpZIQKHhERGYcRKnhGw8odEZEKQV3BM+DYBCIiowvqCp4B4xord0REKgVtBc+AQZCIiIK4gmfAuMZ17sD1gIhIm0BcL8id9YA6NchEWKj6KadLSouwYd8MXa4HFKwY14hICyVxLTXHjLy0It8UCIxrarHljohIo6BrwTPgrGJE9rjOXWCkbZ8u17lzn3Xaci8lcS0vrUg/69wZMK6x5Q58wklE7hmRtx+zU+v6uxgA3HvC2bnuGM1PONfvn6nLJ5zBinGNiNzBuKbfuMaWOyIiN81OrYsRefv9XQwiIiKPYFzTL1buiIg8YHZqXf130TTgwHMiIn/xRZdRdzCu6RMrd0REHtItqbm+n3SWCe0vIiJSxZeTkmglxTVHY021jD1VymPpGjCusXJHRORBuu7KYsAnnERE5Nzas03Q9brd/i6GNgaMa6zcERF5mH4reFoDoH6DIBERuabfCp7x4hord0REXqDLCp4Bn3ASEZEyuqzgGTCuhfm7AEREwUoajB5oC50TERE54miBcuvf8/BPXPPmmEE9jEcMVGy5IyLyIl0tdG7AgedE9riIeWCkbZ8uFzF3n5JFzJUsUK4krgXOIubGi2tcxBxc7JWIvM9XC8K6tdjr9cMRFqJhsdeyIqw/PEeXi70GK8Y1IvIU+8qZ1Ko2Im8/1p5t4pVWNusWRMY1ddhyR0TkA7oYg2fAsQlERKSNLsbgGTCuccwdEZGPzE6t63A8Q8Ao0zhDmI67rxARkXNyMSsvrQh58E5c81h6BoxrbLkjIvIhJeMZiIiI9IJxLbCwckdE5GMBGwgN2H2FiIjcx7gWOFi5IyLyg7y0osAbgyegMQj6u+BEFGw8UVHwdmXDF7OF6gnjWmBg5Y6IyE9mp9ZFWm6pv4vxDwM+4SRyV35musOXJ9O3/ldum9ZztZbV+nxXaWrJIy+tSDZdR9fjKB9p3JZ9WR397m4ZpZ+VlNVVfo7ScFZuZ/fA16zjmtr74anPpg0DxjUuhQBOGU1E/uXJhc7dmjK6+iMIC4lQn2dZMdYfX6DLKaODFeOadnLTvjvar2bSB1eTTjjbb71P7eQV7pzrz7Tt89B63b6YxMo+D3fy9Ga5laxjpzRvV8dYxzV3ryV5YwgWZnzMuKYQW+6IiPwsYBY6N+ATTiJ7eWlFNi9n+wH5haEdnecqX0fsv5Bb/6xkYXRX52rtTmidtn0+nlzU27qy4Sh9uZ+l+2l9ntQ65Og9c6cF0/qzIP3urKzO8nNUbvvPlaPFxx3dA2dpy72sj3PG2TH5memWuKbkfkjviX2LnbT/QIYblVwDxjVW7oiIAkC3pOaB1UWTiBTZsqwV8jPTsWVZK5uXJ9O3/ldum9ZztZbV+nxXaWrNQ/qS7yx9uZ+d5W9fdk+9X67eI6X33NF1299nuc+bJz977mo6Yzh6PfQtAG3vXSBdi574tVvm3LlzMXfuXBw6dAgA0KhRI7zwwgvo3r07AEAIgUmTJuHdd9/FmTNn0KZNG8yePRuNGjWypFFUVISxY8fio48+wpUrV9CpUyfMmTMHNWvWVFwOdl8hokDhbhdNt7plxg3W3n3l5Hu67L7iaYxr+sdumcqxW6ZtXnK/a0lL790yrfe7G9fc6pZpwLjm15a7mjVr4pVXXsGPP/6IH3/8ER07dkTv3r3xyy+/AACmT5+OmTNn4u2330ZOTg4SEhLQpUsXXLhwwZLG6NGjsWrVKixbtgxbt27FxYsX0bNnT5SW8gk4EemPX7tolgntLwLAuBYM2C1TGXbLhCVNdsu0ZX0PrLto2pfPJ90yDRjXAm5ClSpVquDVV1/F4MGDkZSUhNGjR+Ppp58GcO1pZnx8PKZNm4bHHnsM586dQ7Vq1fDhhx+if//+AIC//voLtWrVwurVq9GtWzeHeRQVFaGo6J8Pyvnz51GrVi0+4SSigKH1Sac7LXedKg/U/IRzw5n3dfmE0xcY18hRi4mjlh41rYLutPC4OleugqAkH0cVSrnj5ChpEbKvsKptaXJ0jqdbzbSWVW25pe1SHoFKimtq7wfjmjoBM+autLQUy5Ytw6VLl9C2bVscPHgQBQUF6Nq1q+UYs9mM9u3bIzs7GwCwY8cOXL161eaYpKQkNG7c2HKMI1OnTkVsbKzlVatWLe9dGBGRBn5pwRMan24G1jPCgMG4ZgxKWu4ctZgo3S/XAqTki7GSc+VaGeVadeSu21Ha9q2bSvJwVnFxlL5911C5+5CXVmTTcmfd6mjd4iaVTSnrFjjr1idnZVXaUuionPa/W2931eXSV6zvgfXPUlyzvx+uWu7cYsC4FubvAuzevRtt27ZFYWEhKlasiFWrVqFhw4aWIBYfH29zfHx8PP78808AQEFBASIiIlC5cuVyxxQUFMjm+eyzz2LMmDGW36UnnEREgUQKhJ5aJsElIaBp5VYdB0FvYFwzFiUVAnda7hylb19RkMtb67lKWu6UpC1tU5OHfZr2eTlrDXN2H1JzzEDatf8H82aUbwFLRLamlrvEGf88dMlLK0IishWVVTrOGUdl0UPLnXRPHN0PKa6NPNbG5n3JmwHLsdbnu82Acc3vlbt69eohNzcXZ8+exYoVKzBw4EBs3rzZst9kMtkcL4Qot82eq2PMZjPMZv8/2SAicsXnFTxyG+MaEZG8kcfa4O0a36Mbmvu7KEHJ790yIyIicOONN6J169aYOnUqmjVrhjfeeAMJCQkAUO5J5fHjxy1PPRMSElBcXIwzZ87IHkNEpHc+66JZVqb9RRaMa8bCbpnslmmdD7tlynfLtL4H1l00vdot04Bxze8td/aEECgqKkJKSgoSEhKwbt06tGjRAgBQXFyMzZs3Y9q0aQCAVq1aITw8HOvWrcO9994LAMjPz8eePXswffp0v10DEZGn+aQFz4DdV3yBcS24sVsmu2Va58Numc67ZVrfj3/iGtgt04P8Wrl77rnn0L17d9SqVQsXLlzAsmXLsGnTJqxZswYmkwmjR4/GlClTkJqaitTUVEyZMgVRUVG4//77AQCxsbEYMmQIMjMzUbVqVVSpUgVjx45FkyZN0LlzZ39eGhGRx0kLnec0D/VK+qKsDMKk/mmlEPp9wulpjGvGI9cCY/+l3/pfe87252emI3FGtuVfS55p2ZZ/nZXN1bnW++zL44x12tL1ypXLE3nIpW//s30+5a5ZYv/7/7YpLZuja3N1L+zL4ais9tetqNxWZZe7B76k9LNxbZkEIC23FJ99eJvNsfafW62MGNf82i3z77//xkMPPYR69eqhU6dO+P7777FmzRp06dIFAPDUU09h9OjRGD58OFq3bo1jx45h7dq1iImJsaQxa9Ys3HXXXbj33ntxyy23ICoqCp9//jlCQ73z5YeIyJ9ymod6r4umENpfBIBxzYjaDdiBxBnZaDdgh83Lk+lb/yu3Teu5Wstqfb6rNLXmIX2xd5a+3M/O8rcvu6feL1fvkdJ77ui67e+z3OfNk589dym9H599eBt2Zc5xer5mBoxrfm25W7hwodP9JpMJWVlZyMrKkj0mMjISb731Ft566y0Pl46IKDB5rQWvTAAmY3Vf8TTGNePZsqwVkAnkL7PdrqTbndL0E5Ft+Vdum9ZzXaWhJG0ATtPUmofUcuOszHI/OyqrXNk9xTo9V/feGUfXLZE739U98Ael9wMAms4Yjl4PfYucGaHlznGLAeNawC1i7g/SQodc7JWI9MTR2At3FnvtaL4XYSYNi72KYnxT9LEuF3sNVoxrRKRHjGvu8/tsmUREpE1eWhHScks9l6AQgCjT8DL8M0IyMGkGRvuXJ9O3/ldum9ZztZbV+nxXaXoiD7n05X52VlZHv7tbRuv0XJXVVX6O0nBWbiX3wJeUfjYcXY91XPPItRgwrrHlDnzCSUT6NiJvP2an1gXg3hPODmH3aPobWCKuYmPJf3X5hDNYMa4RkafILe3hzRk6Gde0Y8sdEZHOzU6t65lJVjQ93fzfS6U5c+YgJSUFkZGRaNWqFb799lv3y0/kB0rWufNU+s62aT1Xa1nl1rlzlKa798NZ+nI/Ozrfep0767IrXXfOEWfr3MmVT806d/bltP/d/vPmjXXu5NYhlFt+Qm6dO/vyWb8v9uvc6TGuAYER29hyBz7hJKLgkJpjxr7WFzU/4cww9dH8hHOTWKU4z+XLl+Ohhx7CnDlzcMstt+Cdd97BggULsHfvXlx//fWq86fyGNeIKBjoJa4BgRPbWLkDcO7cOVx33XW4FT0QBgZBItKv93/6GcktD+Hs2bOIjY1VdI6vg2CbNm3QsmVLzJ0717KtQYMGuOuuuzB16lTV+VN5jGva1dlk2/JxIKNIdr/9PlfpOjve2X7rfa7S8eS5/kzbPg+t1+2tcjnKS+53LWl5o9zWactRmreaz7O716KHuAYETmxj5Q7AH3/8gTp16vi7GEREHnPkyBHUrFlT0bFSENRaESjBVWzFahw5csQmCJrNZpjNtl8iiouLERUVhf/85z/o06ePZfu///1v5ObmYvPmzarzp/IY14go2ARqXAMCK7b5dZ27QFGlShUAwOHDhxU/EQg058+fR61atcp9CPUkGK4BCI7r4DUEBi3XIITAhQsXkJSUpDifiIgIJCQkYGvBaq1FRcWKFVGrVi2bbRMnTiy3ntvJkydRWlqK+Ph4m+3x8fEoKCjQnD/ZYlwLHMFwHbyGwGDUawj0uAYEVmxj5Q5ASMi1eWViY2N1+z+LpFKlSryGABEM18FrCAxqr0Htl/nIyEgcPHgQxcXFaotmIYSAyWSy2ebo6abE/lhH55N2jGuBJxiug9cQGIx4DXqIa0BgxDZW7oiICJGRkYiMjPR6PnFxcQgNDS33JPP48ePlnngSERFp5au4BgRWbONSCERE5DMRERFo1aoV1q1bZ7N93bp1SE/3/+K7REREagVSbGPLHa41sU6cONFlU2sg4zUEjmC4Dl5DYAiGa3BkzJgxeOihh9C6dWu0bdsW7777Lg4fPozHH3/c30ULGsHw2QmGawCC4zp4DYGB1xDYAiW2cbZMIiLyuTlz5mD69OnIz89H48aNMWvWLLRr187fxSIiItIsEGIbK3dERERERERBgGPuiIiIiIiIggArd0REREREREGAlTsiIiIiIqIgwModrg1+TElJQWRkJFq1aoVvv/3W30WSlZWVBZPJZPNKSEiw7BdCICsrC0lJSahQoQIyMjLwyy+/+LHEwJYtW3DnnXciKSkJJpMJn3zyic1+JWUuKirCE088gbi4OERHR6NXr144evRowFzDoEGDyr0vN998c8Bcw9SpU5GWloaYmBhUr14dd911F3777TebYwL9fVByDYH+PsydOxdNmza1LN7atm1bfPXVV5b9gf4ekH4wrnkX45r/r4FxLTCugXEt8Bi+crd8+XKMHj0a48ePx86dO3Hbbbehe/fuOHz4sL+LJqtRo0bIz8+3vHbv3m3ZN336dMycORNvv/02cnJykJCQgC5duuDChQt+K++lS5fQrFkzvP322w73Kynz6NGjsWrVKixbtgxbt27FxYsX0bNnT5SWlgbENQDA7bffbvO+rF692ma/P69h8+bNGDFiBLZv345169ahpKQEXbt2xaVLlyzHBPr7oOQagMB+H2rWrIlXXnkFP/74I3788Ud07NgRvXv3tgS6QH8PSB8Y17yPce2aQI8Jgf4+MK75v/xBSRjcTTfdJB5//HGbbfXr1xfPPPOMn0rk3MSJE0WzZs0c7isrKxMJCQnilVdesWwrLCwUsbGxYt68eT4qoXMAxKpVqyy/Kynz2bNnRXh4uFi2bJnlmGPHjomQkBCxZs0an5VdYn8NQggxcOBA0bt3b9lzAu0ajh8/LgCIzZs3CyH0+T7YX4MQ+nsfhBCicuXKYsGCBbp8DygwMa75FuNaYFwD41pgXIMQjGv+ZuiWu+LiYuzYsQNdu3a12d61a1dkZ2f7qVSu5eXlISkpCSkpKRgwYAD++OMPAMDBgwdRUFBgcz1msxnt27cP2OtRUuYdO3bg6tWrNsckJSWhcePGAXVdmzZtQvXq1VG3bl0MHToUx48ft+wLtGs4d+4cAKBKlSoA9Pk+2F+DRC/vQ2lpKZYtW4ZLly6hbdu2unwPKPAwrvlfMP2/rJe/pwDjWiBcA+NaYDB05e7kyZMoLS1FfHy8zfb4+HgUFBT4qVTOtWnTBh988AG+/vprzJ8/HwUFBUhPT8epU6csZdbT9Sgpc0FBASIiIlC5cmXZY/yte/fu+L//+z988803mDFjBnJyctCxY0cUFRUBCKxrEEJgzJgxuPXWW9G4cWNL+aTyyJUv0K8B0Mf7sHv3blSsWBFmsxmPP/44Vq1ahYYNG+ruPaDAxLjmf8Hy/7Ie/p5KGNcY1+gfYf4uQCAwmUw2vwshym0LFN27d7f83KRJE7Rt2xZ16tTB+++/bxlgq6frkWgpcyBdV//+/S0/N27cGK1bt0ZycjK+/PJL9O3bV/Y8f1zDyJEjsWvXLmzdurXcPr28D3LXoIf3oV69esjNzcXZs2exYsUKDBw4EJs3b7bs18t7QIFNT3GAcU3dMb6ih7+nEsa18hjXjMvQLXdxcXEIDQ0t92Tg+PHj5Z4yBKro6Gg0adIEeXl5ltnF9HQ9SsqckJCA4uJinDlzRvaYQJOYmIjk5GTk5eUBCJxreOKJJ/DZZ59h48aNqFmzpmW7nt4HuWtwJBDfh4iICNx4441o3bo1pk6dimbNmuGNN97Q1XtAgYtxzf+C9f/lQPx7CjCuBcI1MK4FFkNX7iIiItCqVSusW7fOZvu6deuQnp7up1KpU1RUhH379iExMREpKSlISEiwuZ7i4mJs3rw5YK9HSZlbtWqF8PBwm2Py8/OxZ8+egL2uU6dO4ciRI0hMTATg/2sQQmDkyJFYuXIlvvnmG6SkpNjs18P74OoaHAm098ERIQSKiop08R5Q4GNc879g/X850P6eMq4FxvvgCOOan/li1pZAtmzZMhEeHi4WLlwo9u7dK0aPHi2io6PFoUOH/F00hzIzM8WmTZvEH3/8IbZv3y569uwpYmJiLOV95ZVXRGxsrFi5cqXYvXu3uO+++0RiYqI4f/6838p84cIFsXPnTrFz504BQMycOVPs3LlT/Pnnn4rL/Pjjj4uaNWuK9evXi59++kl07NhRNGvWTJSUlPj9Gi5cuCAyMzNFdna2OHjwoNi4caNo27atqFGjRsBcw7Bhw0RsbKzYtGmTyM/Pt7wuX75sOSbQ3wdX16CH9+HZZ58VW7ZsEQcPHhS7du0Szz33nAgJCRFr164VQgT+e0D6wLjmfYxr/r8GxrXAuAbGtcBj+MqdEELMnj1bJCcni4iICNGyZUubKWgDTf/+/UViYqIIDw8XSUlJom/fvuKXX36x7C8rKxMTJ04UCQkJwmw2i3bt2ondu3f7scRCbNy4UQAo9xo4cKDiMl+5ckWMHDlSVKlSRVSoUEH07NlTHD58OCCu4fLly6Jr166iWrVqIjw8XFx//fVi4MCB5crnz2twVHYAYtGiRZZjAv19cHUNengfBg8ebPlbU61aNdGpUydLABQi8N8D0g/GNe9iXPP/NTCuBcY1MK4FHpMQQni+PZCIiIiIiIh8ydBj7oiIiIiIiIIFK3dERERERERBgJU7IiIiIiKiIMDKHRERERERURBg5Y6IiIiIiCgIsHJHREREREQUBFi5IyIiIiIiCgKs3BEREREREQUBVu6I3LB48WJcd911/i6GIocOHYLJZEJubq6/i0JERAGKcY1I31i5o4A3aNAgmEwmmEwmhIWF4frrr8ewYcNw5swZn5ajdu3aeP3112229e/fH/v37/d63hkZGRg9erTX8yEiIu9jXGNcI/KWMH8XgEiJ22+/HYsWLUJJSQn27t2LwYMH4+zZs/joo4/8Wq4KFSqgQoUKfi0DERHpD+MaEXkDW+5IF8xmMxISElCzZk107doV/fv3x9q1a22OWbRoERo0aIDIyEjUr18fc+bMsdn/9NNPo27duoiKisINN9yACRMm4OrVqzbHfPbZZ2jdujUiIyMRFxeHvn37Arj2hPHPP//Ek08+aXnaCjjuvjJ37lzUqVMHERERqFevHj788EOb/SaTCQsWLECfPn0QFRWF1NRUfPbZZ6ruR+3atTFlyhQMHjwYMTExuP766/Huu+/aHPPDDz+gRYsWiIyMROvWrbFz585y6ezduxc9evRAxYoVER8fj4ceeggnT54EAGzatAkRERH49ttvLcfPmDEDcXFxyM/PV1VeIiKyxbhmi3GNyEMEUYAbOHCg6N27t+X3AwcOiIYNG4r4+HjLtnfffVckJiaKFStWiD/++EOsWLFCVKlSRSxevNhyzOTJk8V3330nDh48KD777DMRHx8vpk2bZtn/xRdfiNDQUPHCCy+IvXv3itzcXPHyyy8LIYQ4deqUqFmzpnjxxRdFfn6+yM/PF0IIsWjRIhEbG2tJY+XKlSI8PFzMnj1b/Pbbb2LGjBkiNDRUfPPNN5ZjAIiaNWuKpUuXiry8PDFq1ChRsWJFcerUKdl70L59e/Hvf//b8ntycrKoUqWKmD17tsjLyxNTp04VISEhYt++fUIIIS5evCiqVasm+vfvL/bs2SM+//xzccMNNwgAYufOnUIIIf766y8RFxcnnn32WbFv3z7x008/iS5duogOHTpY8hk3bpxITk4WZ8+eFbm5ucJsNouVK1cqeNeIiEgO4xrjGpG3sHJHAW/gwIEiNDRUREdHi8jISAFAABAzZ860HFOrVi2xdOlSm/MmT54s2rZtK5vu9OnTRatWrSy/t23bVjzwwAOyxycnJ4tZs2bZbLMPgunp6WLo0KE2x/Tr10/06NHD8jsA8fzzz1t+v3jxojCZTOKrr76SzdtREHzwwQctv5eVlYnq1auLuXPnCiGEeOedd0SVKlXEpUuXLMfMnTvXJghOmDBBdO3a1SafI0eOCADit99+E0IIUVRUJFq0aCHuvfde0ahRI/HII4/IlpGIiJRhXGNcI/IWjrkjXejQoQPmzp2Ly5cvY8GCBdi/fz+eeOIJAMCJEydw5MgRDBkyBEOHDrWcU1JSgtjYWMvv//3vf/H666/j999/x8WLF1FSUoJKlSpZ9ufm5tqcr8W+ffvw6KOP2my75ZZb8MYbb9hsa9q0qeXn6OhoxMTE4Pjx46rysk7DZDIhISHBksa+ffvQrFkzREVFWY5p27atzfk7duzAxo0bUbFixXJpHzhwAHXr1kVERASWLFmCpk2bIjk5udzAeyIi0oZxrTzGNSL3sXJHuhAdHY0bb7wRAPDmm2+iQ4cOmDRpEiZPnoyysjIAwPz589GmTRub80JDQwEA27dvx4ABAzBp0iR069YNsbGxWLZsGWbMmGE51lMDyKVxCxIhRLlt4eHh5c6RrkMpZ2kIIVyeX1ZWhjvvvBPTpk0rty8xMdHyc3Z2NgDg9OnTOH36NKKjo1WVk4iIymNcK49xjch9nFCFdGnixIl47bXX8NdffyE+Ph41atTAH3/8gRtvvNHmlZKSAgD47rvvkJycjPHjx6N169ZITU3Fn3/+aZNm06ZNsWHDBtk8IyIiUFpa6rRcDRo0wNatW222ZWdno0GDBhqvVJuGDRvi559/xpUrVyzbtm/fbnNMy5Yt8csvv6B27drl7psU6A4cOIAnn3wS8+fPx80334x//etfqoM1ERG5xrjmHOMakTKs3JEuZWRkoFGjRpgyZQoAICsrC1OnTsUbb7yB/fv3Y/fu3Vi0aBFmzpwJALjxxhtx+PBhLFu2DAcOHMCbb76JVatW2aQ5ceJEfPTRR5g4cSL27duH3bt3Y/r06Zb9tWvXxpYtW3Ds2DHLzFv2xo0bh8WLF2PevHnIy8vDzJkzsXLlSowdO9ZLd8Kx+++/HyEhIRgyZAj27t2L1atX47XXXrM5ZsSIETh9+jTuu+8+/PDDD/jjjz+wdu1aDB48GKWlpSgtLcVDDz2Erl274uGHH8aiRYuwZ88em6fCRETkGYxrzjGuESnk3yF/RK7Zzyom+b//+z8REREhDh8+bPm9efPmIiIiQlSuXFm0a9fOZgascePGiapVq4qKFSuK/v37i1mzZtkMGhdCiBUrVljSiIuLE3379rXs27Ztm2jatKkwm81C+l/HfuC5EELMmTNH3HDDDSI8PFzUrVtXfPDBBzb7AYhVq1bZbIuNjRWLFi2SvQeOBp7bD4Jv1qyZmDhxok15mzVrJiIiIkTz5s3FihUrbAaeCyHE/v37RZ8+fcR1110nKlSoIOrXry9Gjx4tysrKxKRJk0RiYqI4efKk5fhPPvlERERE2KRBRETqMK4xrhF5i0kIBZ2YiYiIiIiIKKCxWyYREREREVEQYOWOiIiIiIgoCLByR0REREREFARYuSMiIiIiIgoCrNwREREREREFAVbuiIiIiIiIggArd0REREREREGAlTsiIiIiIqIgwModERERERFREGDljoiIiIiIKAiwckdERERERBQE/h9as2P/ppc/TwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n", "plt.subplots_adjust(wspace=0.3)\n", @@ -1423,32 +579,220 @@ "axs[1].set_ylabel('Reaction Index')\n" ] }, + { + "cell_type": "markdown", + "id": "48427334-c28b-46b6-b3f9-34afa188f325", + "metadata": {}, + "source": [ + "# 6. Use covariance matrices to run global sampling study outside RMG\n", + "### Now that we have the input covariances, we can export our mechanism to other solvers like Cantera and sample accordingly\n", + "\n", + "Note that to keep the code simple, this example uses a well-mixed reactor with a reactive surface, but could be replaced by any of the Cantera examples, including the PFR code here https://cantera.org/dev/examples/python/reactors/surf_pfr_chain.html\n", + "\n", + "Note that the number of parameters should be reduced to only the most important before running a global sampling study (due to computational cost). This demo does not cover nearly enough samples for the distribution to converge and is only meant to show how the parameters could be sampled using a simulator external to RMG." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "7ebf4947-aadc-4e33-9165-f13ba9d34f98", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/cantera/ck2yaml.py:2346: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'C2H6(8) + 2 X(1) <=> HX(21) + XCH2CH3(54)'\n", + "at T = 10000.0\n", + "\n", + " phase = Interface(out_name, surf_name, [gas])\n" + ] + } + ], + "source": [ + "## Build a simple CSTR surface reactor in Cantera\n", + "\n", + "# convert chemkin to cantera yaml\n", + "cantera_file = os.path.join(os.path.dirname(chemkin_file), 'chem_annotated.yaml')\n", + "result = subprocess.check_output(['ck2yaml', f'--input={chemkin_file}', f'--surface={surface_chemkin_file}', f'--output={cantera_file}'])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "958b37de-12d2-4283-88f5-0bf73deadc0c", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_283727/1579794787.py:3: UserWarning: StickingRate::validate: \n", + "Sticking coefficient is greater than 1 for reaction 'C2H6(8) + 2 X(1) <=> HX(21) + XCH2CH3(54)'\n", + "at T = 10000.0\n", + "\n", + " surf = ct.Interface(cantera_file, \"SURF0\", [gas])\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Mole Fraction (s)')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Run simulation and plot nominal results\n", + "gas = ct.Solution(cantera_file)\n", + "surf = ct.Interface(cantera_file, \"SURF0\", [gas])\n", + "\n", + "# Initialize the reactor\n", + "gas.TPX = 600, ct.one_atm, 'CH4(2):1, O2(3):1.5, AR:0.1'\n", + "surf.TP = 600, ct.one_atm\n", + "\n", + "reactor = ct.IdealGasReactor(gas, energy='off')\n", + "upstream = ct.Reservoir(gas, name='upstream')\n", + "downstream = ct.Reservoir(gas, name='downstream')\n", + "rsurf = ct.ReactorSurface(surf, reactor, A=1e4)\n", + "\n", + "mass_flow_rate = 8e-8\n", + "m = ct.MassFlowController(upstream, reactor, mdot=mass_flow_rate)\n", + "v = ct.PressureController(reactor, downstream, primary=m, K=1e-5)\n", + "\n", + "sim = ct.ReactorNet([reactor])\n", + "\n", + "times = [0]\n", + "gas_concs = [gas.X]\n", + "while sim.time < 5e-4:\n", + " sim.step()\n", + " times.append(sim.time)\n", + " gas_concs.append(gas.X)\n", + "times = np.array(times)\n", + "gas_concs = np.array(gas_concs)\n", + "\n", + "# Plot the nominal values\n", + "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n", + "plt.plot(times, gas_concs[:, gas.species_names.index('CH4(2)')], label='CH4', color=colors[0])\n", + "plt.plot(times, gas_concs[:, gas.species_names.index('O2(3)')], label='O2', color=colors[1])\n", + "plt.plot(times, gas_concs[:, gas.species_names.index('H2O(5)')], label='H2O', color=colors[2])\n", + "plt.plot(times, gas_concs[:, gas.species_names.index('CO2(4)')], label='CO2', color=colors[3])\n", + "\n", + "\n", + "# ---------------------------------- now sample according to the covariance matrix ------------------------------\n", + "\n", + "N_samples = 40\n", + "thermo_perturbations = np.random.multivariate_normal(mean=np.zeros(correlated_thermo_cov.shape[0]), cov=correlated_thermo_cov, size=N_samples)\n", + "thermo_perturbations *= 4184 # convert kcal/mol to J/mol\n", + "\n", + "kinetic_perturbations = np.random.multivariate_normal(mean=np.zeros(correlated_kinetics_cov.shape[0]), cov=correlated_kinetics_cov, size=N_samples)\n", + "kinetic_multipliers = np.exp(kinetic_perturbations) # convert from lnk to multiplier\n", + "\n", + "def perturb_species(species, DELTA_J_MOL=418.4):\n", + " # takes in a Cantera species and makes a copy with the enthalpy offset changed\n", + " R = 8.3144598 # gas constant in J/mol\n", + " increase = DELTA_J_MOL / R\n", + " # copy the species\n", + " input_data = species.input_data.copy()\n", + " for i in range(len(input_data['thermo']['data'])):\n", + " input_data['thermo']['data'][i][5] += increase\n", + " new_species = ct.Species().from_dict(input_data)\n", + " return new_species\n", + "\n", + "# make copies for faster reset\n", + "gas_thermo_copies = []\n", + "for i in range(gas.n_species):\n", + " gas_thermo_copies.append(ct.Species().from_dict(gas.species()[i].input_data.copy()))\n", + "surface_thermo_copies = []\n", + "for i in range(surf.n_species):\n", + " surface_thermo_copies.append(ct.Species().from_dict(surf.species()[i].input_data.copy()))\n", + "\n", + "for i in range(N_samples):\n", + " # perturb all the species according to samples using covariance matrix\n", + " for sp_index in range(gas.n_species):\n", + " perturbed_sp = perturb_species(gas_thermo_copies[sp_index], thermo_perturbations[i, sp_index])\n", + " gas.modify_species(sp_index, perturbed_sp)\n", + " for sp_index in range(surf.n_species):\n", + " perturbed_sp = perturb_species(surface_thermo_copies[sp_index], thermo_perturbations[i, gas.n_species + sp_index])\n", + " surf.modify_species(sp_index, perturbed_sp)\n", + "\n", + " # perturb all the reaction rates according to samples using covariance matrix\n", + " for rxn_index in range(gas.n_reactions):\n", + " gas.set_multiplier(kinetic_multipliers[i, rxn_index], rxn_index)\n", + " for rxn_index in range(surf.n_reactions):\n", + " surf.set_multiplier(kinetic_multipliers[i, gas.n_reactions + rxn_index], rxn_index)\n", + "\n", + " # rerun the simulation and plot the sampled results\n", + " gas.TPX = 600, ct.one_atm, 'CH4(2):1, O2(3):1.5, AR:0.1'\n", + " surf.TP = 600, ct.one_atm\n", + " \n", + " reactor = ct.IdealGasReactor(gas, energy='off')\n", + " upstream = ct.Reservoir(gas, name='upstream')\n", + " downstream = ct.Reservoir(gas, name='downstream')\n", + " rsurf = ct.ReactorSurface(surf, reactor, A=1e4)\n", + "\n", + " m = ct.MassFlowController(upstream, reactor, mdot=mass_flow_rate)\n", + " v = ct.PressureController(reactor, downstream, primary=m, K=1e-5)\n", + " sim = ct.ReactorNet([reactor])\n", + " \n", + " times_perturbed = [0]\n", + " gas_concs_perturbed = [gas.X]\n", + " while sim.time < 5e-4:\n", + " sim.step()\n", + " times_perturbed.append(sim.time)\n", + " gas_concs_perturbed.append(gas.X)\n", + " times_perturbed = np.array(times_perturbed)\n", + " gas_concs_perturbed = np.array(gas_concs_perturbed)\n", + "\n", + " if i > 0:\n", + " label = '_no_label'\n", + " else:\n", + " label = 'samples'\n", + " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('CH4(2)')], label='_no_label', color=colors[0], linewidth=0.2)\n", + " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('O2(3)')], label='_no_label', color=colors[1], linewidth=0.2)\n", + " plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('H2O(5)')], label=label, color=colors[2], linewidth=0.2)\n", + " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('CO2(4)')], label='_no_label', color=colors[3], linewidth=0.2)\n", + "\n", + " # Reset things\n", + " for sp_index in range(surf.n_species):\n", + " surf.modify_species(sp_index, surface_thermo_copies[sp_index])\n", + " for sp_index in range(gas.n_species):\n", + " gas.modify_species(sp_index, gas_thermo_copies[sp_index])\n", + " surf.set_multiplier(1.0)\n", + " gas.set_multiplier(1.0)\n", + "\n", + "plt.legend()\n", + "plt.title(f'Concentrations using nominal values and {N_samples} samples')\n", + "plt.xlabel('Time (s)')\n", + "plt.ylabel('Mole Fraction (s)')\n" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "8cee9fe6-0b3f-45cd-993f-b24546c476d1", + "id": "ff349fcd-9538-49ed-84a7-f799261441bc", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.23" + "name": "python" } }, "nbformat": 4, From 77cac02ed90ba2eb3c1b6073642f896bdb167a5c Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Jun 2026 11:43:08 -0400 Subject: [PATCH 653/700] Fix Cantera 3.2 ReactorSurface syncState warning Read surface coverages via rsurf.coverages instead of the deprecated rsurf.kinetics accessor, whose getter calls syncState() and emits a UserWarning under Cantera 3.2. Values are identical and the change works in both Cantera 3.1 and 3.2. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/tools/canteramodel.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 2a261d86663..ba6f738f10c 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -547,7 +547,7 @@ def simulate(self): pressure.append(cantera_reactor.thermo.P) if self.surface: - species_data.append(np.concatenate((cantera_reactor.thermo[species_names_list].X, rsurf.kinetics.coverages))) + species_data.append(np.concatenate((cantera_reactor.thermo[species_names_list].X, rsurf.coverages))) N_gas = len(cantera_reactor.thermo[species_names_list].X) else: species_data.append(cantera_reactor.thermo[species_names_list].X) From eb8c8640c4f07f0b39bdc1c5c4d77378e2e9d518 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Jun 2026 12:37:50 -0400 Subject: [PATCH 654/700] Use non-deprecated Cantera phase model names Cantera deprecates the legacy 'IdealGas'/'GasKinetics' model names in favor of 'ideal-gas'/'gas'. The new names work identically in Cantera 3.1 and 3.2, so switch to them to silence the canonicalize deprecation warning emitted when building the Solution in CanteraJob. Co-Authored-By: Claude Opus 4.8 (1M context) --- rmgpy/tools/canteramodel.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index ba6f738f10c..2db342ccd45 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -329,7 +329,7 @@ def load_model(self): self.reaction_map[self.reaction_list.index(rxn)] = indices - self.model = ct.Solution(thermo='IdealGas', kinetics='GasKinetics', + self.model = ct.Solution(thermo='ideal-gas', kinetics='gas', species=ct_species, reactions=ct_reactions) def refresh_model(self): @@ -342,7 +342,7 @@ def refresh_model(self): ct_reactions = self.model.reactions() ct_species = self.model.species() - self.model = ct.Solution(thermo='IdealGas', kinetics='GasKinetics', + self.model = ct.Solution(thermo='ideal-gas', kinetics='gas', species=ct_species, reactions=ct_reactions) def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs): From 6ab52966aa3c8d6bd9730068e4a0386bb527f702 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Jun 2026 13:10:33 -0400 Subject: [PATCH 655/700] Reduce "error" logging in regression testing (only WARN and above) Previously, pysidt, pulled in transitively via rmgpy.data.thermo, would configure a logger at import time, which put all INFO messages into stderr, which would then end up showing as errors in the pull request annotations. Now, only WARNINGs and ERRORs should be reported. --- rmgpy/tools/regression.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/tools/regression.py b/rmgpy/tools/regression.py index 428918ae740..eb57e57eadd 100644 --- a/rmgpy/tools/regression.py +++ b/rmgpy/tools/regression.py @@ -200,6 +200,10 @@ def parse_command_line_arguments(): def main(): "Returns the list of variables that failed the regression." + # Imported libraries can call logging.basicConfig at import time. + # Reset it so that only WARNING and worse are emitted. + logging.basicConfig(level=logging.WARNING, force=True) + input_file, benchmark, tested = parse_command_line_arguments() args = read_input_file(input_file) # casetitle, observables, setups, tol From 138c1646cf904d385e9af397e073c4089dcb0a0e Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Jun 2026 13:24:13 -0400 Subject: [PATCH 656/700] In regression.py restore INFO logging to stdout We want WARNINGS and ERRORs to also end up in stderr but INFO should go to stdout so it's in the full CI logs. --- rmgpy/tools/regression.py | 34 +++++++++++++++++++++++++++++++--- 1 file changed, 31 insertions(+), 3 deletions(-) diff --git a/rmgpy/tools/regression.py b/rmgpy/tools/regression.py index eb57e57eadd..0fd1f65579a 100644 --- a/rmgpy/tools/regression.py +++ b/rmgpy/tools/regression.py @@ -198,11 +198,39 @@ def parse_command_line_arguments(): return input_file, benchmark, tested +def configure_logging(): + """ + Configure the root logger so that INFO (and above) goes to stdout, while + WARNING and above *also* goes to stderr. + + This means the full log is captured in the normal CI build output (stdout), + while only genuine warnings/errors land on stderr. + """ + root = logging.getLogger() + root.setLevel(logging.INFO) + + # Remove any handlers installed by imported libraries. + for handler in root.handlers[:]: + root.removeHandler(handler) + + formatter = logging.Formatter('%(levelname)s: %(message)s') + + # INFO and above -> stdout (captured in the normal CI log). + stdout_handler = logging.StreamHandler(sys.stdout) + stdout_handler.setLevel(logging.INFO) + stdout_handler.setFormatter(formatter) + root.addHandler(stdout_handler) + + # WARNING and above -> stderr (so CI flags/annotates them via regression.py.err). + stderr_handler = logging.StreamHandler(sys.stderr) + stderr_handler.setLevel(logging.WARNING) + stderr_handler.setFormatter(formatter) + root.addHandler(stderr_handler) + + def main(): "Returns the list of variables that failed the regression." - # Imported libraries can call logging.basicConfig at import time. - # Reset it so that only WARNING and worse are emitted. - logging.basicConfig(level=logging.WARNING, force=True) + configure_logging() input_file, benchmark, tested = parse_command_line_arguments() From ee8eae377d59fb6428c56439fc8503e8eb9396ef Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 3 Mar 2026 12:15:15 -0500 Subject: [PATCH 657/700] Read core species from external dictionary Sometimes there are too many species to comfortably fit in one input file. This lets you outsource them to an external species dictionary so the input.py file can stay small enough to handle. --- rmgpy/rmg/input.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 051a6d868a8..28691a7424f 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -40,6 +40,7 @@ from rmgpy.data.vaporLiquidMassTransfer import ( liquidVolumetricMassTransferCoefficientPowerLaw, ) +from rmgpy.chemkin import load_species_dictionary from rmgpy.exceptions import DatabaseError, InputError from rmgpy.molecule import Molecule from rmgpy.molecule.fragment import Fragment @@ -234,6 +235,15 @@ def convert_binding_energies(binding_energies): return new_dict +def core_species_file(species_dictionary_file): + # all species here are assumed to be reactive + new_species_dict = load_species_dictionary(species_dictionary_file) + for key in new_species_dict: + label = new_species_dict[key].label + structure = new_species_dict[key].molecule[0] + species(label, structure, reactive=True, cut=False, size_threshold=None) + + def species(label, structure, reactive=True, cut=False, size_threshold=None): logging.debug('Found {0} species "{1}" ({2})'.format('reactive' if reactive else 'nonreactive', label, @@ -1670,6 +1680,7 @@ def read_input_file(path, rmg0): 'False': False, 'database': database, 'catalystProperties': catalyst_properties, + 'coreSpeciesFile': core_species_file, 'species': species, 'forbidden': forbidden, 'SMARTS': smarts, From 1572d08f73462b04ac139ac1196b1f9e6bd85d1a Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 3 Mar 2026 12:17:02 -0500 Subject: [PATCH 658/700] Add core species list usage to documentation Adds an example of how to use the coreSpeciesList option in an input file to read in core species from an external species dictionary --- documentation/source/users/rmg/input.rst | 8 ++++++++ documentation/source/users/rmg/output.rst | 3 +++ 2 files changed, 11 insertions(+) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index 50c1c703ef3..edb05d06fb9 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -322,6 +322,14 @@ The following is an example of a typical species item, based on methane using SM """ ) +For long lists of initial core species, you can specify a coreSpeciesList, shown below:: + + coreSpeciesList( + species_dictionary_file="path/to/your/species_dictionary.txt" + ) + +This specifies the path for an RMG-formatted :ref:`species dictionary ` from which additional species will be loaded. Note that RMG will complain if any species in the input file is duplicated in the species dictionary. + .. _forbidden_structures: Forbidden Structures diff --git a/documentation/source/users/rmg/output.rst b/documentation/source/users/rmg/output.rst index d1894510f83..aabf220ee16 100755 --- a/documentation/source/users/rmg/output.rst +++ b/documentation/source/users/rmg/output.rst @@ -17,6 +17,9 @@ You will see that a sucessfully executed RMG job will create multiple output fil ``/species`` ``RMG.log`` + +.. _the_chemkin_folder: + ------------------ The Chemkin Folder ------------------ From 9114bae23d0787317b3d825908c9a722ce526bee Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Fri, 5 Jun 2026 10:08:06 -0400 Subject: [PATCH 659/700] Apply suggestion from @JacksonBurns --- documentation/source/users/rmg/input.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst index edb05d06fb9..16dc4ffce5f 100644 --- a/documentation/source/users/rmg/input.rst +++ b/documentation/source/users/rmg/input.rst @@ -328,7 +328,7 @@ For long lists of initial core species, you can specify a coreSpeciesList, shown species_dictionary_file="path/to/your/species_dictionary.txt" ) -This specifies the path for an RMG-formatted :ref:`species dictionary ` from which additional species will be loaded. Note that RMG will complain if any species in the input file is duplicated in the species dictionary. +This specifies the path for an RMG-formatted :ref:`species dictionary ` from which additional species will be loaded. Note that RMG will complain if any species in the input file is duplicated in the species dictionary. All species are assumed to be reactive. .. _forbidden_structures: From 5791411c54e036cb4bd0ea6e61646cbdbdeb17f5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 5 Jun 2026 10:18:32 -0400 Subject: [PATCH 660/700] Tweak output in regression testing. The way Github renders these `detail` and `summary` blocks is really finickety about blank lines etc. I *think* this will look better in that context. --- rmgpy/tools/observablesregression.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py index b8e333301e7..b9e3e671db2 100644 --- a/rmgpy/tools/observablesregression.py +++ b/rmgpy/tools/observablesregression.py @@ -291,7 +291,6 @@ def compare(self, tol, plot=False): conditions_broken = [] variables_failed = [] - print('{0} Comparison'.format(self)) # Check the species profile observables if 'species' in self.observables: if self.old_sim.surface_species_list: @@ -400,7 +399,6 @@ def compare(self, tol, plot=False): return variables_failed else: - print('') print('✅ All Observables varied by less than {0:.3f} on average between old model and ' 'new model in all conditions!'.format(tol)) print('') From 6d9d8569abfd26ed6580257903b3dcab81520c70 Mon Sep 17 00:00:00 2001 From: Richard West Date: Fri, 5 Jun 2026 10:55:27 -0400 Subject: [PATCH 661/700] In CI context, do NOT log to stdout in regression.py The INFO information isn't really helpful, and ends up in the annotations. I left the configure_logging method there so it's easy to turn on again if wanted. --- rmgpy/tools/regression.py | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/rmgpy/tools/regression.py b/rmgpy/tools/regression.py index 0fd1f65579a..0ef5be79ab6 100644 --- a/rmgpy/tools/regression.py +++ b/rmgpy/tools/regression.py @@ -198,13 +198,16 @@ def parse_command_line_arguments(): return input_file, benchmark, tested -def configure_logging(): +def configure_logging(quiet=False): """ - Configure the root logger so that INFO (and above) goes to stdout, while - WARNING and above *also* goes to stderr. + Configure the root logger so that INFO (and above) goes to stdout + (unless quiet=True), + while WARNING and above *also* goes to stderr. - This means the full log is captured in the normal CI build output (stdout), + This means the full log is output (stdout), while only genuine warnings/errors land on stderr. + In the CI context, run with quiet=True to make + annotations less verbose. """ root = logging.getLogger() root.setLevel(logging.INFO) @@ -215,11 +218,12 @@ def configure_logging(): formatter = logging.Formatter('%(levelname)s: %(message)s') - # INFO and above -> stdout (captured in the normal CI log). - stdout_handler = logging.StreamHandler(sys.stdout) - stdout_handler.setLevel(logging.INFO) - stdout_handler.setFormatter(formatter) - root.addHandler(stdout_handler) + if not quiet: + # INFO and above -> stdout (captured in the normal CI log). + stdout_handler = logging.StreamHandler(sys.stdout) + stdout_handler.setLevel(logging.INFO) + stdout_handler.setFormatter(formatter) + root.addHandler(stdout_handler) # WARNING and above -> stderr (so CI flags/annotates them via regression.py.err). stderr_handler = logging.StreamHandler(sys.stderr) @@ -230,7 +234,7 @@ def configure_logging(): def main(): "Returns the list of variables that failed the regression." - configure_logging() + configure_logging(quiet=True) # set quiet=False if you want more info. input_file, benchmark, tested = parse_command_line_arguments() From 75620d5d1c56ceb8b821e66b369da6f7078daf80 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Fri, 29 May 2026 17:38:09 -0400 Subject: [PATCH 662/700] Add tests for UQ assign_intermediate_uncertainties --- test/rmgpy/tools/uncertaintyTest.py | 75 +++++++++++++++++++++++++---- 1 file changed, 66 insertions(+), 9 deletions(-) diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 35ac31049a0..69e3badde74 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -169,16 +169,73 @@ def test_uncertainty_assignment(self): thermo_unc = self.uncertainty.thermo_input_uncertainties kinetic_unc = self.uncertainty.kinetic_input_uncertainties - np.testing.assert_allclose( - thermo_unc, - [1.5, 1.5, 2.61966, 2.51994, 2.23886, 1.5, 2.30761, 2.41611, 2.61966, 2.51994, 2.61966, 2.51994, 2.61966, 1.5, 2.23886, 2.30761, 1.5, 2.61966, 2.07366, 2.19376, 2.19376, 2.30761, 1.94616, 2.07366, 2.07366], - rtol=1e-4, - ) - np.testing.assert_allclose( - kinetic_unc, - [0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 1.5363, 1.5363, 0.5], - rtol=1e-4 + expected_uncorrelated_thermo_uncertainties = np.array([1.5, 1.5, 2.61966, 2.51994, 2.23886, 1.5, 2.30761, 2.41611, 2.61966, 2.51994, 2.61966, 2.51994, 2.61966, 1.5, 2.23886, 2.30761, 1.5, 2.61966, 2.07366, 2.19376, 2.19376, 2.30761, 1.94616, 2.07366, 2.07366]) + expected_uncorrelated_kinetic_uncertainties = np.array([0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 1.5363, 1.5363, 0.5]) + np.testing.assert_allclose(thermo_unc, expected_uncorrelated_thermo_uncertainties, rtol=1e-4) + np.testing.assert_allclose(kinetic_unc, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4) + + # ---------------------------- Now repeat for assign_intermediate_uncertainties ----------------------------- + # uncorrelated + self.uncertainty.assign_intermediate_uncertainties(correlated=False) + intermediate_thermo_unc = self.uncertainty.thermo_intermediate_uncertainties + intermediate_kinetic_unc = self.uncertainty.kinetic_intermediate_uncertainties + np.testing.assert_allclose(intermediate_thermo_unc, expected_uncorrelated_thermo_uncertainties, rtol=1e-4) + np.testing.assert_allclose(intermediate_kinetic_unc, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4) + + # correlated + self.uncertainty.assign_intermediate_uncertainties(correlated=True) + + # do a spot check on some of the intermediates (dG/dq) these are derivatives, not uncertainties + # Thermo library example + assert self.uncertainty.thermo_intermediate_uncertainties[0].keys() == {'Library O(0)'} + assert self.uncertainty.thermo_intermediate_uncertainties[0]['Library O(0)'] == 1 + + # Thermo GAV example + assert tuple(sorted(self.uncertainty.thermo_intermediate_uncertainties[2].keys())) == ('Estimation HO2(2)', 'Group(group) O2s-OsH', 'Group(other) R', 'Group(radical) HOOJ') + assert self.uncertainty.thermo_intermediate_uncertainties[2]['Estimation HO2(2)'] == 1 + assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(group) O2s-OsH'] == 2 + assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(other) R'] == 2 + assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(radical) HOOJ'] == 1 + + # Thermo library + GAV + assert tuple(sorted(self.uncertainty.thermo_intermediate_uncertainties[14].keys())) == ('Estimation CH3(14)', 'Group(radical) CH3', 'Library CH4(16)') + assert self.uncertainty.thermo_intermediate_uncertainties[14]['Estimation CH3(14)'] == 1 + assert self.uncertainty.thermo_intermediate_uncertainties[14]['Group(radical) CH3'] == 1 + assert self.uncertainty.thermo_intermediate_uncertainties[14]['Library CH4(16)'] == 1 + + # Kinetics library + assert self.uncertainty.kinetic_intermediate_uncertainties[0].keys() == {'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)'} + + # Rate rule (exact) + assert tuple(sorted(self.uncertainty.kinetic_intermediate_uncertainties[1].keys())) == ('Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', 'Rate Rule H_Abstraction C/H3/Cs;C_methyl') + assert self.uncertainty.kinetic_intermediate_uncertainties[1]['Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)'] == 1 + assert self.uncertainty.kinetic_intermediate_uncertainties[1]['Rate Rule H_Abstraction C/H3/Cs;C_methyl'] == 1 + + # Rate rule (non-exact, multiple rule weights) + assert tuple(sorted(self.uncertainty.kinetic_intermediate_uncertainties[3].keys())) == ( + 'Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)', + 'Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs', + 'Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad', ) + assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)'] == 1 + assert np.isclose(self.uncertainty.kinetic_intermediate_uncertainties[3]['Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)'], 0.4771212547, rtol=1e-4) + assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs'] == 0.5 + assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad'] == 0.5 + + # Training reaction + assert self.uncertainty.kinetic_intermediate_uncertainties[5].keys() == {'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)'} + assert self.uncertainty.kinetic_intermediate_uncertainties[5]['Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)'] == 1 + + # PDEP + assert self.uncertainty.kinetic_intermediate_uncertainties[6].keys() == {'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)'} + assert self.uncertainty.kinetic_intermediate_uncertainties[6]['PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)'] == 1 + + # correlated uncertainties should match uncorrelated, so check diagonal of covariance matrix + thermo_covariance = np.sqrt(self.uncertainty.get_thermo_covariance_matrix().diagonal()) + kinetic_covariance = np.sqrt(self.uncertainty.get_kinetic_covariance_matrix().diagonal()) + assert np.isclose(thermo_covariance, expected_uncorrelated_thermo_uncertainties, rtol=1e-4).all() + assert np.isclose(kinetic_covariance, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4).all() def test_local_analysis(self): """ From 8940dde9c87abcd59c367102e53400ad1567e9c1 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Wed, 27 May 2026 12:06:23 -0400 Subject: [PATCH 663/700] Add uncertainty tests for correlated library match Add some tests to make sure the correct index is referenced when assembling thermo sources that use libraries. For example, if CH3 is estimated from a CH4 library + a radical correction, we want to make sure the uncertainty source points to CH4 as the index for the library value used (as opposed to CH3) --- test/rmgpy/tools/uncertaintyTest.py | 48 +++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py index 69e3badde74..7d797b2c642 100644 --- a/test/rmgpy/tools/uncertaintyTest.py +++ b/test/rmgpy/tools/uncertaintyTest.py @@ -237,6 +237,54 @@ def test_uncertainty_assignment(self): assert np.isclose(thermo_covariance, expected_uncorrelated_thermo_uncertainties, rtol=1e-4).all() assert np.isclose(kinetic_covariance, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4).all() + def test_source_correlations(self): + # Check some examples of different species containing the same sources + + # ------------------------------------------------------------------------------ + # Make sure CH3 (Library + Radical) has a library index/value in common with CH4 + i_CH4 = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='C'), self.uncertainty.species_list) + assert i_CH4 >= 0 + + i_CH3 = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='[CH3]'), self.uncertainty.species_list) + assert i_CH3 >= 0 + + self.uncertainty.extract_sources_from_model() + self.uncertainty.assign_parameter_uncertainties(correlated=True) + + src1 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH4]] # CH4 + src2 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH3]] # CH3 + + assert 'Library' in src1 + assert 'Library' in src2 + assert 'GAV' in src2 + assert src1['Library'] == src2['Library'] # make sure they refer to the same library source + + # ----------------------------------------------------------------------------- + # Make sure CH3X (Library + GAV + Adsorption Correction) has a library index/value in common with CH4 (Library) + i_CH3X = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='C*'), self.uncertainty.species_list) + assert i_CH3X == -1 + # This is not in the model, so add it to the species list + CH3X = rmgpy.species.Species(smiles='C*') + CH3X.thermo = self.uncertainty.database.thermo.get_thermo_data(CH3X) + self.uncertainty.species_list.append(CH3X) + try: + i_CH3X = rmgpy.tools.uncertainty.get_i_thing(CH3X, self.uncertainty.species_list) + assert i_CH3X >= 0 + + self.uncertainty.extract_sources_from_model() + self.uncertainty.assign_parameter_uncertainties(correlated=True) + + src1 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH4]] # CH4 + src2 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH3X]] # CH3X + + assert 'Library' in src1 + assert 'Library' in src2 + assert 'ADS' in src2 + assert 'GAV' in src2 + assert src1['Library'] == src2['Library'] # make sure they refer to the same library source + finally: + self.uncertainty.species_list.pop() # remove the extra species so it doesn't affect other tests + def test_local_analysis(self): """ Test to run uncorrelated and then correlated local_analysis and make sure the results are expected From 8c0d25817f8cd5031fab4eb44b0e81195cc2a834 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Fri, 12 Jul 2024 16:13:08 -0400 Subject: [PATCH 664/700] draw vdW bond, the same way we do H bonds combine drawing of vdW and H bonds Two commits by Bjarne Kreitz Merged by Richard West --- rmgpy/molecule/converter.py | 4 ++-- rmgpy/molecule/draw.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index ae005cb25b6..5142f916527 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -99,10 +99,10 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, label_dict[index] = atom.label rd_bonds = Chem.rdchem.BondType - # no vdW bond in RDKit, so "ZERO" or "OTHER" might be OK + # no vdW bond in RDKit, so use UNSPECIFIED orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC, - 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.ZERO, + 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.UNSPECIFIED, 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.UNSPECIFIED, None: rd_bonds.UNSPECIFIED} # Add the bonds diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index c6931e46ea6..377ca12a39c 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -1215,7 +1215,7 @@ def _render_bond(self, atom1, atom2, bond, cr): dv *= 1.6 self._draw_line(cr, x1 - du, y1 - dv, x2 - du, y2 - dv) self._draw_line(cr, x1 + du, y1 + dv, x2 + du, y2 + dv, dashed=True) - elif bond.is_hydrogen_bond(): + elif bond.is_hydrogen_bond() or bond.is_van_der_waals(): # Draw a dashed line self._draw_line(cr, x1, y1, x2, y2, dashed=True, dash_sizes=[0.5, 3.5]) else: From e1556f558262edf62d1cdb2415190861e3521cda Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 15 Jul 2024 11:09:46 -0400 Subject: [PATCH 665/700] Adjust remove vdW bond, using new has_covalent_surface_bond function Combination of two commits by Bjarne Kreitz Merged by Richard West. --- rmgpy/molecule/molecule.py | 27 ++++++++++++++++++++++++--- 1 file changed, 24 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 8cf2ddca7d4..acc1531863c 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1219,6 +1219,19 @@ def has_bond(self, atom1, atom2): """ return self.has_edge(atom1, atom2) + def has_covalent_surface_bond(self): + """ + Return True if any bond in this molecule connects a surface site (X) via a covalent bond. + """ + cython.declare(bond=Bond) + for bond in self.get_all_edges(): + if bond.is_van_der_waals(): + continue + atom1, atom2 = bond.atom1, bond.atom2 + if atom1.is_surface_site() or atom2.is_surface_site(): + return True + return False + def contains_surface_site(self): """ Returns ``True`` iff the molecule contains an 'X' surface site. @@ -1276,9 +1289,17 @@ def remove_van_der_waals_bonds(self): Remove all van der Waals bonds. """ cython.declare(bond=Bond) - for bond in self.get_all_edges(): - if bond.is_van_der_waals(): - self.remove_bond(bond) + if self.is_multidentate(): + if self.has_covalent_surface_bond(): + return #preserve the remaining vdW bonds for this structure + else: + for bond in self.get_all_edges(): + if bond.is_van_der_waals(): + self.remove_bond(bond) + else: + for bond in self.get_all_edges(): + if bond.is_van_der_waals(): + self.remove_bond(bond) def sort_atoms(self): """ From 9bf28a58e08953b72de1bf737974f7eed1abc0a4 Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 23:20:43 -0400 Subject: [PATCH 666/700] Make has_covalent_surface_bond more efficient. Rather than generate all the bonds, each with two ends (which happens by iterating over the atoms) and then iterating over the bonds, and seeing if either end is an X. We instead iterate over the atoms (there are fewer) and only if one is an X do we check its bonds. As soon as one is found that's not vdW, we return True. Also added a Cython declaration. --- rmgpy/molecule/molecule.pxd | 2 ++ rmgpy/molecule/molecule.py | 13 ++++++------- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 1b62af07d76..219bb6acb3f 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -206,6 +206,8 @@ cdef class Molecule(Graph): cpdef int number_of_surface_sites(self) except -1 + cpdef bint has_covalent_surface_bond(self) + cpdef bint is_surface_site(self) cpdef remove_atom(self, Atom atom) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index acc1531863c..b1512765034 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1223,13 +1223,12 @@ def has_covalent_surface_bond(self): """ Return True if any bond in this molecule connects a surface site (X) via a covalent bond. """ - cython.declare(bond=Bond) - for bond in self.get_all_edges(): - if bond.is_van_der_waals(): - continue - atom1, atom2 = bond.atom1, bond.atom2 - if atom1.is_surface_site() or atom2.is_surface_site(): - return True + cython.declare(atom=Atom, bond=Bond) + for atom in self.atoms: + if atom.is_surface_site(): + for bond in atom.bonds.values(): + if not bond.is_van_der_waals(): + return True return False def contains_surface_site(self): From 3c7369849243eaaa50adaa5bd1cdfe23b3293ebd Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 23:27:01 -0400 Subject: [PATCH 667/700] Add test_has_covalent_surface_bond to test has_covalent_surface_bond. --- test/rmgpy/molecule/moleculeTest.py | 38 +++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 5ece70da6a8..68f327e723c 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3110,6 +3110,44 @@ def test_remove_van_der_waals_bonds(self): mol.remove_van_der_waals_bonds() assert len(mol.get_all_edges()) == 1 + def test_has_covalent_surface_bond(self): + """Test Molecule.has_covalent_surface_bond() distinguishes vdW from covalent X bonds.""" + # X present but only physisorbed via a vdW bond + vdw_only = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {2,vdW} +2 H u0 p0 c0 {1,vdW} {3,S} +3 H u0 p0 c0 {2,S} +""" + ) + assert not vdw_only.has_covalent_surface_bond() + + # X covalently bonded (chemisorbed) + chemisorbed = Molecule().from_adjacency_list( + """ +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} +""" + ) + assert chemisorbed.has_covalent_surface_bond() + + # Two X atoms: one vdW, one covalent + mixed = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,vdW} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {2,vdW} {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +""" + ) + assert mixed.has_covalent_surface_bond() + + # No surface sites at all + gas = Molecule().from_smiles("CCO") + assert not gas.has_covalent_surface_bond() + def test_get_relevant_cycles(self): """ Test the Molecule.get_relevant_cycles() raises correct error after deprecation. From 37b2b28a2a031ad9bbd51ef5ce12f567b73e1a9a Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 23:32:08 -0400 Subject: [PATCH 668/700] Simplify remove_van_der_waals_bonds We don't need to check if it's multidentate and THEN check if there's a covalent surface bond. Knowing that there's a covalent surface bond will suffice, and still only involves looping through the atoms once each. (same as counting the X atoms). And if we haven't returned early, we should remove the bonds. --- rmgpy/molecule/molecule.py | 16 +++++----------- 1 file changed, 5 insertions(+), 11 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index b1512765034..3b430a46bc9 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1288,17 +1288,11 @@ def remove_van_der_waals_bonds(self): Remove all van der Waals bonds. """ cython.declare(bond=Bond) - if self.is_multidentate(): - if self.has_covalent_surface_bond(): - return #preserve the remaining vdW bonds for this structure - else: - for bond in self.get_all_edges(): - if bond.is_van_der_waals(): - self.remove_bond(bond) - else: - for bond in self.get_all_edges(): - if bond.is_van_der_waals(): - self.remove_bond(bond) + if self.has_covalent_surface_bond(): + return # preserve any vdW bonds if there's also a covalent X + for bond in self.get_all_edges(): + if bond.is_van_der_waals(): + self.remove_bond(bond) def sort_atoms(self): """ From da4c7d301772fdb621b21a776c17a643afee26ee Mon Sep 17 00:00:00 2001 From: Richard West Date: Mon, 18 May 2026 23:39:20 -0400 Subject: [PATCH 669/700] Accelerate is_multidentate. The optimized is_multidentate now short-circuits on the second surface site, and avoids building an intermediate list. --- rmgpy/molecule/molecule.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 3b430a46bc9..f2991a55984 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -3062,9 +3062,13 @@ def is_multidentate(self): Return ``True`` if the adsorbate contains at least two binding sites, or ``False`` otherwise. """ - cython.declare(atom=Atom) - if len([atom for atom in self.vertices if atom.is_surface_site()])>=2: - return True + cython.declare(atom=Atom, found_one=cython.bint) + found_one = False + for atom in self.atoms: + if atom.is_surface_site(): + if found_one: + return True + found_one = True return False def get_adatoms(self): From 5528ac48371cd9232dbee102f91bdca648f40c45 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 17 Jul 2024 09:03:32 -0400 Subject: [PATCH 670/700] change is_molecule_forbidden --- rmgpy/data/kinetics/family.py | 14 ++++++++++---- rmgpy/molecule/molecule.py | 4 +++- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index e181ae99e44..c9c499f6f1b 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1676,11 +1676,17 @@ def is_molecule_forbidden(self, molecule): return True # forbid vdw multi-dentate molecules for surface families + surface_sites = [] if "surface" in self.label.lower(): - if molecule.get_num_atoms('X') > 1: - for atom in molecule.atoms: - if atom.atomtype.label == 'Xv': - return True + if "surface_monodentate_to_vdw_bidentate" in self.label.lower() and molecule.get_num_atoms('X') > 1: + surface_sites = [atom.atomtype.label for atom in molecule.atoms if 'X' in atom.atomtype.label] + if all(site == 'Xv' for site in surface_sites): + return True + else: + if molecule.get_num_atoms('X') > 1: + for atom in molecule.atoms: + if atom.atomtype.label == 'Xv': + return True return False diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index f2991a55984..dc263872b40 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -67,7 +67,7 @@ def _skip_first(in_tuple): return in_tuple[1:] -bond_orders = {'S': 1, 'D': 2, 'T': 3, 'B': 1.5} +bond_orders = {'S': 1, 'D': 2, 'T': 3, 'B': 1.5, 'vdW': 0} globals().update({ 'bond_orders': bond_orders, @@ -3132,6 +3132,8 @@ def get_desorbed_molecules(self): bonded_atom.increment_radical() bonded_atom.increment_lone_pairs() bonded_atom.label = '*4' + elif bond.is_van_der_waals(): + bonded_atom.label = '*5' else: raise NotImplementedError("Can't remove surface bond of type {}".format(bond.order)) desorbed_molecule.remove_atom(site) From 3d29d618cbf78b3f965a4e3adc27b1a2cd712ea0 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 12 May 2026 21:05:54 -0400 Subject: [PATCH 671/700] adding find_formate_delocalization_paths to pathfinder --- rmgpy/molecule/pathfinder.pxd | 4 +++- rmgpy/molecule/pathfinder.py | 28 ++++++++++++++++++++++++++++ 2 files changed, 31 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/pathfinder.pxd b/rmgpy/molecule/pathfinder.pxd index 469417983fb..d34ae224e2f 100644 --- a/rmgpy/molecule/pathfinder.pxd +++ b/rmgpy/molecule/pathfinder.pxd @@ -61,4 +61,6 @@ cpdef bint is_atom_able_to_lose_lone_pair(Vertex atom) cpdef list find_adsorbate_delocalization_paths(Vertex atom1) -cpdef list find_adsorbate_conjugate_delocalization_paths(Vertex atom1) \ No newline at end of file +cpdef list find_adsorbate_conjugate_delocalization_paths(Vertex atom1) + +cpdef list find_formate_delocalization_paths(Vertex atom1) \ No newline at end of file diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py index 8bce591a4dd..9e88cebf52b 100644 --- a/rmgpy/molecule/pathfinder.py +++ b/rmgpy/molecule/pathfinder.py @@ -535,3 +535,31 @@ def find_adsorbate_conjugate_delocalization_paths(atom1): if atom5.is_surface_site(): paths.append([atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45]) return paths + +def find_formate_delocalization_paths(atom1): + """ + Find all resonance structures which have a bonding configuration X...O-C-O-X. + Examples: + + - XOC(H)XO/XOC(H)XO, where X is the surface site. The adsorption site X + is always placed on the left-hand side of the adatom and every adatom + is bonded to only one surface site X. + + In this transition atom1 and atom5 are surface sites while atom2 + and atom4 are oxygen and atom3 is a carbon atom. + """ + + cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge) + + paths = [] + if atom1.is_surface_site(): + for atom2, bond12 in atom1.edges.items(): + if atom2.is_oxygen() and bond12.is_van_der_waals(): + for atom3, bond23 in atom2.edges.items(): + if atom3.is_carbon(): + for atom4, bond34 in atom3.edges.items(): + if atom2 is not atom4 and atom4.is_oxygen(): + for atom5, bond45 in atom4.edges.items(): + if atom5.is_surface_site(): + paths.append([atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45]) + return paths \ No newline at end of file From df826a639900f5df6670caae8734366192a00ec9 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 11:31:33 -0400 Subject: [PATCH 672/700] Fix some Cython declarations in pathfinder.py If we declare these things as Atoms and Bonds then Cython can directly access the methods like .is_surface_site() and .is_van_der_waals() I noticed the pxd declares a whole ton of things as Vertex instead of Atom. This should probably also be fixed, if I'm right. --- rmgpy/molecule/pathfinder.pxd | 3 ++- rmgpy/molecule/pathfinder.py | 37 ++++++++++++++++++++++++++++++----- 2 files changed, 34 insertions(+), 6 deletions(-) diff --git a/rmgpy/molecule/pathfinder.pxd b/rmgpy/molecule/pathfinder.pxd index d34ae224e2f..1403d046bcd 100644 --- a/rmgpy/molecule/pathfinder.pxd +++ b/rmgpy/molecule/pathfinder.pxd @@ -26,6 +26,7 @@ ############################################################################### from .graph cimport Vertex, Edge, Graph +from .molecule cimport Atom, Bond, Molecule cpdef list find_butadiene(Vertex start, Vertex end) @@ -63,4 +64,4 @@ cpdef list find_adsorbate_delocalization_paths(Vertex atom1) cpdef list find_adsorbate_conjugate_delocalization_paths(Vertex atom1) -cpdef list find_formate_delocalization_paths(Vertex atom1) \ No newline at end of file +cpdef list find_formate_delocalization_paths(Vertex atom1) diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py index 9e88cebf52b..33756be3ebd 100644 --- a/rmgpy/molecule/pathfinder.py +++ b/rmgpy/molecule/pathfinder.py @@ -36,7 +36,7 @@ import cython -from rmgpy.molecule.molecule import Atom +from rmgpy.molecule.molecule import Atom, Bond from rmgpy.molecule.graph import Vertex, Edge def find_butadiene(start, end): @@ -494,7 +494,15 @@ def find_adsorbate_delocalization_paths(atom1): In this transition atom1 and atom4 are surface sites while atom2 and atom3 are carbon or nitrogen atoms. """ - cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, bond12=Edge, bond23=Edge, bond34=Edge) + cython.declare( + paths=list, + atom2=Atom, + atom3=Atom, + atom4=Atom, + bond12=Bond, + bond23=Bond, + bond34=Bond, + ) paths = [] if atom1.is_surface_site(): @@ -521,7 +529,17 @@ def find_adsorbate_conjugate_delocalization_paths(atom1): and atom4 are carbon or nitrogen atoms. """ - cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge) + cython.declare( + paths=list, + atom2=Atom, + atom3=Atom, + atom4=Atom, + atom5=Atom, + bond12=Bond, + bond23=Bond, + bond34=Bond, + bond45=Bond, + ) paths = [] if atom1.is_surface_site(): @@ -549,8 +567,17 @@ def find_formate_delocalization_paths(atom1): and atom4 are oxygen and atom3 is a carbon atom. """ - cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge) - + cython.declare( + paths=list, + atom2=Atom, + atom3=Atom, + atom4=Atom, + atom5=Atom, + bond12=Bond, + bond23=Bond, + bond34=Bond, + bond45=Bond, + ) paths = [] if atom1.is_surface_site(): for atom2, bond12 in atom1.edges.items(): From d0a0cce0a4078ce0eb6ee58bea223d781de82d2f Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 12 May 2026 21:13:11 -0400 Subject: [PATCH 673/700] add resonance structure generation for formate to resonance.py --- rmgpy/molecule/resonance.pxd | 2 ++ rmgpy/molecule/resonance.py | 40 ++++++++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+) diff --git a/rmgpy/molecule/resonance.pxd b/rmgpy/molecule/resonance.pxd index b95c0b8ca0b..e0b0381d646 100644 --- a/rmgpy/molecule/resonance.pxd +++ b/rmgpy/molecule/resonance.pxd @@ -73,3 +73,5 @@ cpdef list generate_adsorbate_shift_down_resonance_structures(Graph mol) cpdef list generate_adsorbate_shift_up_resonance_structures(Graph mol) cpdef list generate_adsorbate_conjugate_resonance_structures(Graph mol) + +cpdef list generate_formate_resonance_structures(Graph mol) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index 577d7088931..622e419921c 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -124,6 +124,7 @@ def populate_resonance_algorithms(features=None): method_list.append(generate_adsorbate_shift_down_resonance_structures) method_list.append(generate_adsorbate_shift_up_resonance_structures) method_list.append(generate_adsorbate_conjugate_resonance_structures) + method_list.append(generate_formate_resonance_structures) return method_list @@ -1257,3 +1258,42 @@ def generate_adsorbate_conjugate_resonance_structures(mol): else: structures.append(structure) return structures + + +def generate_formate_resonance_structures(mol): + """ + Generate all of the resonance structures formed by the shift of two + electrons in a conjugated pi bond system of a bidentate adsorbate + with a bridging atom in between. + + Example [X]OC(H)O[X]: [X]~OC(H)O[X] <=> [X]OC(H)O~[X] + (where '~' denotes a vdW bond) + """ + cython.declare(structures=list, paths=list, index=cython.int, structure=Graph) + cython.declare(atom=Vertex, atom1=Vertex, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge) + cython.declare(v1=Vertex, v2=Vertex) + + structures = [] + if mol.is_multidentate(): + for atom in mol.vertices: + paths = pathfinder.find_formate_delocalization_paths(atom) + for atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45 in paths: + if ((atom2.is_oxygen() and bond12.is_van_der_waals()) and + (atom4.is_oxygen() and atom5.is_surface_site() and bond45.is_single())): + bond12.increment_order() + bond23.decrement_order() + bond34.increment_order() + bond45.decrement_order() + structure = mol.copy(deep=True) + bond12.decrement_order() + bond23.increment_order() + bond34.decrement_order() + bond45.increment_order() + try: + structure.update_atomtypes(log_species=False) + except AtomTypeError: + pass + else: + structures.append(structure) + + return structures From 666a1406b6ee867a4785cd03b80b259a27569f9e Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Tue, 12 May 2026 21:48:33 -0400 Subject: [PATCH 674/700] add label for vdW bond in get_desorbed_molecules --- rmgpy/molecule/molecule.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index dc263872b40..048f26f8734 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1285,7 +1285,10 @@ def remove_bond(self, bond): def remove_van_der_waals_bonds(self): """ - Remove all van der Waals bonds. + Remove all van der Waals bonds. For multidentate species, + vdW bonds are preserved when there are still other + covalent bonds with the surface present. If no covalent surface bonds are present, + all vdW bonds are removed. """ cython.declare(bond=Bond) if self.has_covalent_surface_bond(): @@ -3094,6 +3097,7 @@ def get_desorbed_molecules(self): ``*2`` - double bond ``*3`` - triple bond ``*4`` - quadruple bond + ``*0`` - vdW bond """ cython.declare(desorbed_molecules=list, desorbed_molecule=Molecule, sites_to_remove=list, adsorbed_atoms=list, site=Atom, numbonds=cython.int, bonded_atom=Atom, bond=Bond, i=cython.int, j=cython.int, atom0=Atom, @@ -3133,7 +3137,7 @@ def get_desorbed_molecules(self): bonded_atom.increment_lone_pairs() bonded_atom.label = '*4' elif bond.is_van_der_waals(): - bonded_atom.label = '*5' + bonded_atom.label = '*0' else: raise NotImplementedError("Can't remove surface bond of type {}".format(bond.order)) desorbed_molecule.remove_atom(site) From 707a2e494422122afa4361025fe9dd2dac46dd63 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 18 May 2026 17:39:08 -0400 Subject: [PATCH 675/700] add more constraints to formate path in resonance.py --- rmgpy/molecule/resonance.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index 622e419921c..756c5e0a855 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -1262,9 +1262,9 @@ def generate_adsorbate_conjugate_resonance_structures(mol): def generate_formate_resonance_structures(mol): """ - Generate all of the resonance structures formed by the shift of two - electrons in a conjugated pi bond system of a bidentate adsorbate - with a bridging atom in between. + Generate all resonance structures formed by the shift of two + electrons in a conjugated bonding system of a bidentate adsorbate + with a bridging atom in between, where one bond to the surface is vdW. Example [X]OC(H)O[X]: [X]~OC(H)O[X] <=> [X]OC(H)O~[X] (where '~' denotes a vdW bond) @@ -1279,7 +1279,8 @@ def generate_formate_resonance_structures(mol): paths = pathfinder.find_formate_delocalization_paths(atom) for atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45 in paths: if ((atom2.is_oxygen() and bond12.is_van_der_waals()) and - (atom4.is_oxygen() and atom5.is_surface_site() and bond45.is_single())): + (atom4.is_oxygen() and atom5.is_surface_site() and + bond45.is_single() and bond23.is_double() and bond34.is_single())): bond12.increment_order() bond23.decrement_order() bond34.increment_order() From 9a41f934d7992c3c96b1f6a839a62f7d6537bc17 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 18 May 2026 17:40:55 -0400 Subject: [PATCH 676/700] clean up pathfinder and add constraints --- rmgpy/molecule/pathfinder.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py index 33756be3ebd..11a65a5c2d2 100644 --- a/rmgpy/molecule/pathfinder.py +++ b/rmgpy/molecule/pathfinder.py @@ -556,10 +556,10 @@ def find_adsorbate_conjugate_delocalization_paths(atom1): def find_formate_delocalization_paths(atom1): """ - Find all resonance structures which have a bonding configuration X...O-C-O-X. + Find all resonance structures which have a bonding configuration X~O=C-O-X. Examples: - - XOC(H)XO/XOC(H)XO, where X is the surface site. The adsorption site X + - [X]~OC(H)O[X]/[X]OC(H)O~[X], where '~' denotes a vdW bond and X is the surface site. The adsorption site X is always placed on the left-hand side of the adatom and every adatom is bonded to only one surface site X. @@ -583,10 +583,10 @@ def find_formate_delocalization_paths(atom1): for atom2, bond12 in atom1.edges.items(): if atom2.is_oxygen() and bond12.is_van_der_waals(): for atom3, bond23 in atom2.edges.items(): - if atom3.is_carbon(): + if atom3.is_carbon() and bond23.is_double(): for atom4, bond34 in atom3.edges.items(): - if atom2 is not atom4 and atom4.is_oxygen(): + if atom2 is not atom4 and atom4.is_oxygen() and bond34.is_single(): for atom5, bond45 in atom4.edges.items(): - if atom5.is_surface_site(): + if atom5.is_surface_site() and bond45.is_single(): paths.append([atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45]) return paths \ No newline at end of file From 0183e97da0d3ec989b3a31b1c198072ac4da9e38 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Mon, 18 May 2026 17:56:02 -0400 Subject: [PATCH 677/700] add features for N species --- rmgpy/molecule/pathfinder.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py index 11a65a5c2d2..dc4d9eeeb59 100644 --- a/rmgpy/molecule/pathfinder.py +++ b/rmgpy/molecule/pathfinder.py @@ -583,7 +583,7 @@ def find_formate_delocalization_paths(atom1): for atom2, bond12 in atom1.edges.items(): if atom2.is_oxygen() and bond12.is_van_der_waals(): for atom3, bond23 in atom2.edges.items(): - if atom3.is_carbon() and bond23.is_double(): + if (atom3.is_carbon() or atom3.is_nitrogen()) and bond23.is_double(): for atom4, bond34 in atom3.edges.items(): if atom2 is not atom4 and atom4.is_oxygen() and bond34.is_single(): for atom5, bond45 in atom4.edges.items(): From 31c9f956d1258508c3ed32e68552389e40999fb8 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 08:55:30 -0400 Subject: [PATCH 678/700] Consider generate_formate_resonance_structures when no features specified. Suggested by copilot: Previously, populate_resonance_algorithms() adds generate_formate_resonance_structures only in the features['is_multidentate'] branch, but it is not included in the default (features=None) method list. This means call sites that iterate populate_resonance_algorithms() without passing features (e.g., the isomorphic-resonance enumeration later in this module) will never generate the new formate resonance structures. Consider adding the new generator to the features is None list as well to keep behavior consistent. --- rmgpy/molecule/resonance.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index 756c5e0a855..d9d17b33341 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -96,7 +96,8 @@ def populate_resonance_algorithms(features=None): generate_clar_structures, generate_adsorbate_shift_down_resonance_structures, generate_adsorbate_shift_up_resonance_structures, - generate_adsorbate_conjugate_resonance_structures + generate_adsorbate_conjugate_resonance_structures, + generate_formate_resonance_structures, ] else: # If the molecule is aromatic, then radical resonance has already been considered From bf70032ca7d40051160a57d97cc4f7bef8a96a96 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 08:56:53 -0400 Subject: [PATCH 679/700] Rename generate_formate_resonance_structures to generate_adsorbate_formate_resonance_structures Just so all the adsorbate things start with similar names. --- rmgpy/molecule/resonance.pxd | 2 +- rmgpy/molecule/resonance.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/rmgpy/molecule/resonance.pxd b/rmgpy/molecule/resonance.pxd index e0b0381d646..47aa3c01c18 100644 --- a/rmgpy/molecule/resonance.pxd +++ b/rmgpy/molecule/resonance.pxd @@ -74,4 +74,4 @@ cpdef list generate_adsorbate_shift_up_resonance_structures(Graph mol) cpdef list generate_adsorbate_conjugate_resonance_structures(Graph mol) -cpdef list generate_formate_resonance_structures(Graph mol) +cpdef list generate_adsorbate_formate_resonance_structures(Graph mol) diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index d9d17b33341..23fc598684f 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -97,7 +97,7 @@ def populate_resonance_algorithms(features=None): generate_adsorbate_shift_down_resonance_structures, generate_adsorbate_shift_up_resonance_structures, generate_adsorbate_conjugate_resonance_structures, - generate_formate_resonance_structures, + generate_adsorbate_formate_resonance_structures, ] else: # If the molecule is aromatic, then radical resonance has already been considered @@ -125,7 +125,7 @@ def populate_resonance_algorithms(features=None): method_list.append(generate_adsorbate_shift_down_resonance_structures) method_list.append(generate_adsorbate_shift_up_resonance_structures) method_list.append(generate_adsorbate_conjugate_resonance_structures) - method_list.append(generate_formate_resonance_structures) + method_list.append(generate_adsorbate_formate_resonance_structures) return method_list @@ -1261,7 +1261,7 @@ def generate_adsorbate_conjugate_resonance_structures(mol): return structures -def generate_formate_resonance_structures(mol): +def generate_adsorbate_formate_resonance_structures(mol): """ Generate all resonance structures formed by the shift of two electrons in a conjugated bonding system of a bidentate adsorbate From d0c5940367428ff5c39950cde84551630350d46f Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 09:11:55 -0400 Subject: [PATCH 680/700] Test the new remove_van_der_waals_bonds behaviour. Should NOT remove vdW if there's also a covalent bond to the surface. --- test/rmgpy/molecule/moleculeTest.py | 45 ++++++++++++++++++++++++++++- 1 file changed, 44 insertions(+), 1 deletion(-) diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 68f327e723c..fe696255fa2 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3098,7 +3098,7 @@ def test_count_aromatic_rings(self): assert result == [2, 1, 0] - def test_remove_van_der_waals_bonds(self): + def test_remove_van_der_waals_bond(self): """Test we can remove a van-der-Waals bond""" adjlist = """ 1 X u0 p0 c0 {2,vdW} @@ -3110,6 +3110,49 @@ def test_remove_van_der_waals_bonds(self): mol.remove_van_der_waals_bonds() assert len(mol.get_all_edges()) == 1 + def test_remove_van_der_waals_bonds_bidentate(self): + """vdW bonds are preserved on bidentates that also have a covalent X bond, removed otherwise.""" + # Bidentate ethyl-like fragment: one C–X covalent, one C~X vdW. The vdW should be preserved. + mixed = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,vdW} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,vdW} {3,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +""" + ) + assert mixed.has_covalent_surface_bond() + n_edges_before = len(mixed.get_all_edges()) + mixed.remove_van_der_waals_bonds() + assert len(mixed.get_all_edges()) == n_edges_before # nothing removed + assert any(bond.is_van_der_waals() for bond in mixed.get_all_edges()) + + # Bidentate physisorbed: both C~X bonds are vdW. All vdW bonds should be removed. + vdw_only = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,vdW} +2 X u0 p0 c0 {4,vdW} +3 C u0 p0 c0 {1,vdW} {4,S} {5,S} {6,S} {7,S} +4 C u0 p0 c0 {2,vdW} {3,S} {8,S} {9,S} {10,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {4,S} +""" + ) + assert not vdw_only.has_covalent_surface_bond() + n_edges_before = len(vdw_only.get_all_edges()) + vdw_only.remove_van_der_waals_bonds() + assert len(vdw_only.get_all_edges()) == n_edges_before - 2 + assert not any(bond.is_van_der_waals() for bond in vdw_only.get_all_edges()) + def test_has_covalent_surface_bond(self): """Test Molecule.has_covalent_surface_bond() distinguishes vdW from covalent X bonds.""" # X present but only physisorbed via a vdW bond From 1a8cc772541cd033db3b945a818e282798e0846a Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 09:54:05 -0400 Subject: [PATCH 681/700] Add comments describing current implementation of is_molecule_forbidden For checking multi-dentate vdW things. I'm about to refactor, and want to first document what the current code does, then change how we do it in the next commit. --- rmgpy/data/kinetics/family.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index c9c499f6f1b..1d27070b5a2 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1678,11 +1678,15 @@ def is_molecule_forbidden(self, molecule): # forbid vdw multi-dentate molecules for surface families surface_sites = [] if "surface" in self.label.lower(): + # Within the surface_monodentate_to_vdw_bidentate, allow (don't forbid) + # vdW in multi-dentate molecules if at least one bond to the surface + # is covalent (not vdW). if "surface_monodentate_to_vdw_bidentate" in self.label.lower() and molecule.get_num_atoms('X') > 1: surface_sites = [atom.atomtype.label for atom in molecule.atoms if 'X' in atom.atomtype.label] if all(site == 'Xv' for site in surface_sites): return True else: + # for all other families, forbid multi-dentate molecules with any vdW bonds if molecule.get_num_atoms('X') > 1: for atom in molecule.atoms: if atom.atomtype.label == 'Xv': From eb78197df17d2c11d36cd245f42e4a3d150e1d48 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 10:33:01 -0400 Subject: [PATCH 682/700] Refactor is_molecule_forbidden checks in reaction family. Lifts is_multidentate() into the outer guard (short-circuits on the second surface atom, so it's cheaper than get_num_atoms('X') > 1 which counts all atoms). Replaces the surface_sites list + all(... == 'Xv') check with `not has_covalent_surface_bond()`. Drops the now-unused surface_sites = [] initializer. --- rmgpy/data/kinetics/family.py | 21 +++++++++------------ 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 1d27070b5a2..03e00bd7480 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1676,21 +1676,18 @@ def is_molecule_forbidden(self, molecule): return True # forbid vdw multi-dentate molecules for surface families - surface_sites = [] - if "surface" in self.label.lower(): - # Within the surface_monodentate_to_vdw_bidentate, allow (don't forbid) - # vdW in multi-dentate molecules if at least one bond to the surface - # is covalent (not vdW). - if "surface_monodentate_to_vdw_bidentate" in self.label.lower() and molecule.get_num_atoms('X') > 1: - surface_sites = [atom.atomtype.label for atom in molecule.atoms if 'X' in atom.atomtype.label] - if all(site == 'Xv' for site in surface_sites): + if "surface" in self.label.lower() and molecule.is_multidentate(): + if "surface_monodentate_to_vdw_bidentate" in self.label.lower(): + # Within the surface_monodentate_to_vdw_bidentate family, allow + # (don't forbid) vdW in multi-dentate molecules if at least one + # bond to the surface is covalent (not vdW). + if not molecule.has_covalent_surface_bond(): return True else: # for all other families, forbid multi-dentate molecules with any vdW bonds - if molecule.get_num_atoms('X') > 1: - for atom in molecule.atoms: - if atom.atomtype.label == 'Xv': - return True + for atom in molecule.atoms: + if atom.atomtype.label == 'Xv': + return True return False From 4ab11a902c8aa794552c1057d7063b2c4453a5db Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 10:44:47 -0400 Subject: [PATCH 683/700] Add has_vdw_surface_bond method on Molecule. Also add tests for it, and use it in reaction family is_molecule_forbidden method. --- rmgpy/data/kinetics/family.py | 5 ++-- rmgpy/molecule/molecule.pxd | 2 ++ rmgpy/molecule/molecule.py | 12 +++++++++ test/rmgpy/molecule/moleculeTest.py | 38 +++++++++++++++++++++++++++++ 4 files changed, 54 insertions(+), 3 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 03e00bd7480..5600904118e 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1685,9 +1685,8 @@ def is_molecule_forbidden(self, molecule): return True else: # for all other families, forbid multi-dentate molecules with any vdW bonds - for atom in molecule.atoms: - if atom.atomtype.label == 'Xv': - return True + if molecule.has_vdw_surface_bond(): + return True return False diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 219bb6acb3f..6bbbef015a5 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -208,6 +208,8 @@ cdef class Molecule(Graph): cpdef bint has_covalent_surface_bond(self) + cpdef bint has_vdw_surface_bond(self) + cpdef bint is_surface_site(self) cpdef remove_atom(self, Atom atom) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index 048f26f8734..f28a08e73ae 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1231,6 +1231,18 @@ def has_covalent_surface_bond(self): return True return False + def has_vdw_surface_bond(self): + """ + Return True if any bond in this molecule connects a surface site (X) via a van der Waals bond. + """ + cython.declare(atom=Atom, bond=Bond) + for atom in self.atoms: + if atom.is_surface_site(): + for bond in atom.bonds.values(): + if bond.is_van_der_waals(): + return True + return False + def contains_surface_site(self): """ Returns ``True`` iff the molecule contains an 'X' surface site. diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index fe696255fa2..738f085fbce 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3191,6 +3191,44 @@ def test_has_covalent_surface_bond(self): gas = Molecule().from_smiles("CCO") assert not gas.has_covalent_surface_bond() + def test_has_vdw_surface_bond(self): + """Test Molecule.has_vdw_surface_bond() detects any vdW X bond.""" + # X present but only physisorbed via a vdW bond + vdw_only = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {2,vdW} +2 H u0 p0 c0 {1,vdW} {3,S} +3 H u0 p0 c0 {2,S} +""" + ) + assert vdw_only.has_vdw_surface_bond() + + # X covalently bonded (chemisorbed) — no vdW bond + chemisorbed = Molecule().from_adjacency_list( + """ +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} +""" + ) + assert not chemisorbed.has_vdw_surface_bond() + + # Two X atoms: one vdW, one covalent + mixed = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,vdW} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {2,vdW} {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +""" + ) + assert mixed.has_vdw_surface_bond() + + # No surface sites at all + gas = Molecule().from_smiles("CCO") + assert not gas.has_vdw_surface_bond() + def test_get_relevant_cycles(self): """ Test the Molecule.get_relevant_cycles() raises correct error after deprecation. From 1d34efa52d3520667eabe9aabcffee976b56306f Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 22:16:11 -0400 Subject: [PATCH 684/700] Fix bug and add tests: unbonded X gives True for has_vdw_surface_bond The has_vdw_surface_bond now ALSO returns True for has LACK OF a bond (but an X and one other thing). I guess if you were to give it an adjacency list with just X atoms, this would return True, which may seem weird. (But so would the old test which was just for the presence of an Xv atom type) --- rmgpy/molecule/molecule.py | 8 +++++++- test/rmgpy/molecule/moleculeTest.py | 14 ++++++++++++++ 2 files changed, 21 insertions(+), 1 deletion(-) diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index f28a08e73ae..f18b4feaa40 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -1233,14 +1233,20 @@ def has_covalent_surface_bond(self): def has_vdw_surface_bond(self): """ - Return True if any bond in this molecule connects a surface site (X) via a van der Waals bond. + Return True if any bond in this molecule connects a surface site (X) + via a van der Waals bond, or there's a surface site with no bonds + (but at least one other atom in the molecule). """ cython.declare(atom=Atom, bond=Bond) for atom in self.atoms: if atom.is_surface_site(): + if not atom.bonds: # if there are no bonds at all + if len(self.atoms) > 1: # and there's something besides the surface site + return True # then treat as vdW bonded for bond in atom.bonds.values(): if bond.is_van_der_waals(): return True + return False def contains_surface_site(self): diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py index 738f085fbce..38447d63107 100644 --- a/test/rmgpy/molecule/moleculeTest.py +++ b/test/rmgpy/molecule/moleculeTest.py @@ -3229,6 +3229,20 @@ def test_has_vdw_surface_bond(self): gas = Molecule().from_smiles("CCO") assert not gas.has_vdw_surface_bond() + # An unbonded X atom counts as a vdW surface bond + unbonded = Molecule().from_adjacency_list( + """ +1 X u0 p0 c0 +2 H u0 p0 c0 {3,S} +3 H u0 p0 c0 {2,S} +""" + ) + assert unbonded.has_vdw_surface_bond() + + # vacant site alone is not a vdW surface bond + vacant = Molecule().from_adjacency_list("1 X u0 p0 c0") + assert not vacant.has_vdw_surface_bond() + def test_get_relevant_cycles(self): """ Test the Molecule.get_relevant_cycles() raises correct error after deprecation. From fccfdc7a183237d30d1ea2d42639862f6a71d850 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 19 May 2026 22:17:13 -0400 Subject: [PATCH 685/700] Avoid calling fails_species_constraints() twice in a row. Since Python 3.8 we can do this "walrus" operator := --- rmgpy/data/kinetics/family.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 5600904118e..9e8fea3e575 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1655,8 +1655,7 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab for struct in product_structures: if self.is_molecule_forbidden(struct): raise ForbiddenStructureException() - reason = fails_species_constraints(struct) - if reason: + if (reason := fails_species_constraints(struct)): raise ForbiddenStructureException( "Species constraints forbids product species {0}. Please " "reformulate constraints, or explicitly " From b596c03cbf66f8458a5a92d72cd7f0ed36012c77 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 20 May 2026 21:50:13 -0400 Subject: [PATCH 686/700] restructure is_molecule_forbbiden --- rmgpy/data/kinetics/family.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 9e8fea3e575..33d7cd603e3 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1676,7 +1676,13 @@ def is_molecule_forbidden(self, molecule): # forbid vdw multi-dentate molecules for surface families if "surface" in self.label.lower() and molecule.is_multidentate(): - if "surface_monodentate_to_vdw_bidentate" in self.label.lower(): + allowed_vdw_families = [ + "surface_monodentate_to_vdw_bidentate", + "surface_dissociation_vdw_bidentate", + "surface_dissociation_vdw_bidentate_beta", + "surface_abstraction_vdw_bidentate_beta" + ] + if any(name in self.label.lower() for name in allowed_vdw_families): # Within the surface_monodentate_to_vdw_bidentate family, allow # (don't forbid) vdW in multi-dentate molecules if at least one # bond to the surface is covalent (not vdW). From 109a9d0bb11b8c4402b6eb038e37393c51d65637 Mon Sep 17 00:00:00 2001 From: Bjarne Kreitz Date: Wed, 3 Jun 2026 13:38:35 -0400 Subject: [PATCH 687/700] restructure is_molecule_forbidden to check for vdWBidentate in family name --- rmgpy/data/kinetics/family.py | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index 33d7cd603e3..fd38834f0c9 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -1676,16 +1676,10 @@ def is_molecule_forbidden(self, molecule): # forbid vdw multi-dentate molecules for surface families if "surface" in self.label.lower() and molecule.is_multidentate(): - allowed_vdw_families = [ - "surface_monodentate_to_vdw_bidentate", - "surface_dissociation_vdw_bidentate", - "surface_dissociation_vdw_bidentate_beta", - "surface_abstraction_vdw_bidentate_beta" - ] - if any(name in self.label.lower() for name in allowed_vdw_families): - # Within the surface_monodentate_to_vdw_bidentate family, allow - # (don't forbid) vdW in multi-dentate molecules if at least one - # bond to the surface is covalent (not vdW). + if "vdwbidentate" in self.label.lower(): + # Within vdWBidentate families, allow vdW in + # multi-dentate molecules if at least one bond to the surface + # is covalent. if not molecule.has_covalent_surface_bond(): return True else: From bdf7053e04d8414539745916131d21b028ac2251 Mon Sep 17 00:00:00 2001 From: Richard West Date: Wed, 3 Jun 2026 23:58:29 -0400 Subject: [PATCH 688/700] TEMPORARY: set RMG_DATABASE_BRANCH: formate_families drop this commit before merging to main. merge at same time as https://github.com/ReactionMechanismGenerator/RMG-database/pull/729 --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index fee682f772f..4c3d695aad4 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -37,7 +37,7 @@ concurrency: env: # if running on RMG-Py but requiring changes on an un-merged branch of RMG-database, replace # main with the name of the branch - RMG_DATABASE_BRANCH: main + RMG_DATABASE_BRANCH: formate_families # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg # RMS mode used for install_rms.sh From e1573dacab1836eccad22ab3ef7b1c1e345ff5f5 Mon Sep 17 00:00:00 2001 From: Richard West Date: Thu, 4 Jun 2026 10:53:16 -0400 Subject: [PATCH 689/700] Improve diagnostics for "Family had N reactants?" kinetics test failure The dispatch else-branch in kinetics_check_sample_can_react raised a terse ValueError ("Family had N reactants?: ...") that named neither the family nor the underlying cause, making CI failures hard to diagnose. This branch is reached whenever the number of reactant roots that produced at least one usable sample molecule does not match the family template, and it raised before the logging loop ran, discarding any per-sample errors already queued. Add an explicit check comparing the number of reactant roots that yielded samples against the family template's reactant count. On a mismatch, append a descriptive, per-root message logged together with the queued per-sample errors (and then raises the standard "Error Occurred. See log for details."), naming the family and the specific reactant root(s) with no usable sample. Co-Authored-By: Claude Opus 4.8 (1M context) --- test/database/databaseTest.py | 25 +++++++++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/test/database/databaseTest.py b/test/database/databaseTest.py index ff3e83f70e1..5e772bc46b6 100644 --- a/test/database/databaseTest.py +++ b/test/database/databaseTest.py @@ -1577,7 +1577,22 @@ def make_error_message(reactants, message=""): output += "\n" + s.to_adjacency_list(label=s.to_smiles()) return output - if len(sample_reactants) == 1 == len(family.forward_template.reactants): + expected_reactants = [str(r) for r in family.forward_template.reactants] + roots_with_samples = [str(k) for k in sample_reactants.keys()] + roots_without_samples = [r for r in expected_reactants if r not in roots_with_samples] + if len(sample_reactants) != len(family.forward_template.reactants): + # One or more reactant roots produced no usable sample molecule (every candidate was + # forbidden by is_molecule_forbidden, or raised UnexpectedChargeError/ + # ImplicitBenzeneError during make_sample_molecule). Record a descriptive error so it + # is logged below alongside any per-sample errors, instead of raising opaquely here. + test1.append( + f"In family {family_name}, {len(roots_without_samples)} reactant root(s) produced " + f"no usable sample molecule: {roots_without_samples}. The family template expects " + f"{len(expected_reactants)} reactant(s) {expected_reactants}; only these root(s) " + f"yielded samples: {roots_with_samples}. Check the group definitions for the " + f"missing reactant root(s)." + ) + elif len(sample_reactants) == 1: reactants = list(sample_reactants.values())[0] for reactant in reactants: try: @@ -1670,7 +1685,13 @@ def make_error_message(reactants, message=""): species = rmgpy.species.Species(index=1, molecule=[molecule]) species.generate_resonance_structures() else: - raise ValueError(f"Family had {len(sample_reactants)} reactants?: " f"{', '.join(map(str,sample_reactants.keys())) }") + # Reactant count matches the template but is not 1, 2, or 3 (RMG only supports up to + # trimolecular). This is not expected for any well-formed family. + raise ValueError( + f"In family {family_name}, the number of sampled reactant roots " + f"({len(sample_reactants)}) matches the template reactant count but is not 1, 2, " + f"or 3, which is unexpected: {roots_with_samples}." + ) # print out entries skipped from exception we can't currently handle if skipped: From 056291bb01b8a257d5861112e7d2d21bcda05251 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 8 Jun 2026 14:42:12 -0400 Subject: [PATCH 690/700] Revert "TEMPORARY: set RMG_DATABASE_BRANCH: formate_families" This reverts commit 5e967e6598ed19b62b30ba90674d85943c4652f9. --- .github/workflows/CI.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 4c3d695aad4..fee682f772f 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -37,7 +37,7 @@ concurrency: env: # if running on RMG-Py but requiring changes on an un-merged branch of RMG-database, replace # main with the name of the branch - RMG_DATABASE_BRANCH: formate_families + RMG_DATABASE_BRANCH: main # RMS branch to use for ReactionMechanismSimulator installation RMS_BRANCH: for_rmg # RMS mode used for install_rms.sh From 8c9533078f55c2cfd495a096e4be5117c5fee96a Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 29 May 2026 13:01:04 -0400 Subject: [PATCH 691/700] increment version --- .conda/meta.yaml | 4 ++-- .../source/users/rmg/installation/anacondaUser.rst | 2 +- documentation/source/users/rmg/installation/index.rst | 8 ++++---- rmgpy/version.py | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/.conda/meta.yaml b/.conda/meta.yaml index a28f6ed4338..70826ca9238 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -9,7 +9,7 @@ # package: name: rmg - version: 4.0.0.rc1 + version: 4.0.0 source: path: ../ @@ -68,7 +68,7 @@ requirements: - rmg::pydas >=1.0.3 - rmg::pydqed >=1.0.3 - rmg::symmetry - - rmg::rmgdatabase =4.0.0.rc1 + - rmg::rmgdatabase =4.0.0 - blas=*=openblas run: *runtime_requirements test: diff --git a/documentation/source/users/rmg/installation/anacondaUser.rst b/documentation/source/users/rmg/installation/anacondaUser.rst index 2d31437543b..01ae81655b6 100644 --- a/documentation/source/users/rmg/installation/anacondaUser.rst +++ b/documentation/source/users/rmg/installation/anacondaUser.rst @@ -19,7 +19,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX To install a specific version of RMG, add the version to the install command:: - conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==4.0.0.rc1' + conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==4.0.0' Not all versions of RMG are available via conda for all platforms. Check the `official RMG conda channel `_ to see which are available for download. diff --git a/documentation/source/users/rmg/installation/index.rst b/documentation/source/users/rmg/installation/index.rst index b3831475d82..70a2b743f41 100644 --- a/documentation/source/users/rmg/installation/index.rst +++ b/documentation/source/users/rmg/installation/index.rst @@ -16,17 +16,17 @@ RMG is primarily distributed using Docker, a software package for delivering app #. Download and install `Docker `_. -#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:4.0.0.rc1``. +#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:4.0.0``. This step may take some time as the image is downloaded. -#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:4.0.0.rc1`` +#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:4.0.0`` This command will make the folder ``C:\Users\rmguser\myrmgfiles`` on your computer accessible from inside the container to easily edit and transfer input and output files. Change the path to match your individual computer. If the folder does not exist when the command is run, it will be created. - If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:4.0.0.rc1`` instead. + If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:4.0.0`` instead. And you can start the jupyter notebook by running ``jupyter notebook --ip 0.0.0.0 --no-browser --allow-root`` inside the container. Then you can access the jupyter notebook from your browser by going to ``http://localhost:8888``. You may need to copy and paste the token from the terminal into the browser to access the notebook. @@ -40,7 +40,7 @@ For users unfamiliar with bash or Linux, we recommend looking at `Must Know Linux/Unix Commands `_. .. NOTE:: - The docker instructions above which specify ``rmg:4.0.0.rc1`` are for the version 4.0.0.rc1 release of RMG-Py (April 2026), the user guide for which is archived in a `4mb PDF here `_. + The docker instructions above which specify ``rmg:4.0.0`` are for the version 4.0.0 release of RMG-Py (April 2026), the user guide for which is archived in a `4mb PDF here `_. If you want to use the latest development version, which corresponds to the user guide you are reading online `on the RMG website `_, you can replace the version number in the docker pull command with "latest" or omit it entirely. For example, you can run ``docker pull reactionmechanismgenerator/rmg:latest`` or ``docker pull reactionmechanismgenerator/rmg`` to get the latest development version corresponding to `the main branch `_. Be sure to also change the version number in the docker run commands to match the version you pulled. diff --git a/rmgpy/version.py b/rmgpy/version.py index 5cbd65179b4..3f47af345d8 100644 --- a/rmgpy/version.py +++ b/rmgpy/version.py @@ -33,4 +33,4 @@ This value can be accessed via `rmgpy.__version__`. """ -__version__ = '4.0.0.rc1' +__version__ = '4.0.0' From f8ce33000e23a863892ae4d67f0b40aaaca2df82 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Fri, 29 May 2026 13:10:27 -0400 Subject: [PATCH 692/700] add release notes --- .../source/users/rmg/releaseNotes.rst | 47 ++++++++++++++++--- 1 file changed, 41 insertions(+), 6 deletions(-) diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index b004a4c2e23..a7a0fa6e631 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -4,17 +4,52 @@ Release Notes ************* -RMG-Py Version 4.0.0.rc1 +RMG-Py Version 4.0.0 ==================== -Date: April 24, 2026 +Date: June 10, 2026 -TODO: fill out +The below list is a summary. For a complete list of all changes, see the `Official RMG-Py Release Page `_. -RMG-Database Version 4.0.0.rc1 +- Software Improvements + - Upgraded core dependencies to Cantera 3 and Python 3.11/updated ecosystem + - Optimizations to Cython declarations and molecule module structures + - Incremental Cython builds restored in the Makefile for faster developer compilation + - Jupyter Notebooks updated to interface with Reaction Mechanism Simulator (RMS) using `juliacall` + - Enhanced CI pipelines with updated macOS runner images, Node.js 24 actions, Miniforge + +- Bug Fixes + - Improved RDKit `GetSSSR` non-determinism + - Fixed duplicate reactions from identical templates being erroneously added to mechanisms + - Fixed error handling for pressure-dependent reaction deep-copies and $E_0$ energy corrections + - Corrected constant-species index mapping in `SimpleReactor` + - Removed deprecated `imp.load_source` calls and eliminated unreachable code segments + +- New Features + - Introduced an auto-database feature and a new YAML file writer + - Introduced multi-part Uncertainty analysis suite, including covariance matrix exports and quadrature integration + - Added comprehensive surface sensitivity features for `SurfaceReactor` + - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis + - Added an Arkane xTB Electronic Structure Software (ESS) adapter + - Implemented a species constraint setting for specifying the maximum number of fused rings allowed + + +RMG-Database Version 4.0.0 ========================== -Date: April 24, 2026 +Date: June 10, 2026 + +The below list is a summary. For a complete list of all changes, see the `Official RMG-Database Release Page `_. -TODO: fill out +- Features + - Added data for electrocatalytic $\text{CO}_2$ reduction ($\text{CO}_2\text{RR}$) kinetics and adsorbates + - Implemented new surface nitrogen reaction families, BEP rules, and NOx chemistry for $\text{Pt}(111)$ + - Added BEEF uncertainty covariance data support + - Expanded datasets with a new Formic Acid library and example coverage-dependent thermo libraries + - Introduced a `recommended_libraries.yml` configuration file + +- Bugfixes + - Fixed thermodynamic discontinuity issues found in the formic acid dataset + - Corrected temperature minimum settings ($T_{min}$) from 300 K to 298 K in NASA polynomials for $\text{CO}_2\text{RR}$ adsorbates on $\text{Ag}(111)$ + - Fixed incorrect entry details in the `Glarborg/C2` database RMG-Py Version 3.3.0 ==================== From bb22b952a11561d8e396b22293d11bf7d32cde13 Mon Sep 17 00:00:00 2001 From: Jackson Burns <33505528+JacksonBurns@users.noreply.github.com> Date: Mon, 8 Jun 2026 14:56:09 -0400 Subject: [PATCH 693/700] Update documentation/source/users/rmg/installation/anacondaUser.rst Co-authored-by: Richard West --- documentation/source/users/rmg/installation/anacondaUser.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/installation/anacondaUser.rst b/documentation/source/users/rmg/installation/anacondaUser.rst index 01ae81655b6..18171c0d5c0 100644 --- a/documentation/source/users/rmg/installation/anacondaUser.rst +++ b/documentation/source/users/rmg/installation/anacondaUser.rst @@ -19,7 +19,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX To install a specific version of RMG, add the version to the install command:: - conda create --name rmg_33_env -c conda-forge -c rmg 'rmg==4.0.0' + conda create --name rmg4_env -c conda-forge -c rmg 'rmg==4.0.0' Not all versions of RMG are available via conda for all platforms. Check the `official RMG conda channel `_ to see which are available for download. From 096641684c94ae9b9d637a35ab793a541d7e1129 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 8 Jun 2026 14:52:11 -0400 Subject: [PATCH 694/700] review comment from @sevyharris --- documentation/source/users/rmg/releaseNotes.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index a7a0fa6e631..7122fef9d5f 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -26,7 +26,7 @@ The below list is a summary. For a complete list of all changes, see the `Offici - New Features - Introduced an auto-database feature and a new YAML file writer - - Introduced multi-part Uncertainty analysis suite, including covariance matrix exports and quadrature integration + - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature - Added comprehensive surface sensitivity features for `SurfaceReactor` - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis - Added an Arkane xTB Electronic Structure Software (ESS) adapter From 37b5f95bd4cc3710c63cb9ae0b154b4f63ff8715 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 8 Jun 2026 14:53:41 -0400 Subject: [PATCH 695/700] split 'and' bullet into two see: https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2967#discussion_r3363071635 --- documentation/source/users/rmg/releaseNotes.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index 7122fef9d5f..e8611406c6f 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -25,7 +25,8 @@ The below list is a summary. For a complete list of all changes, see the `Offici - Removed deprecated `imp.load_source` calls and eliminated unreachable code segments - New Features - - Introduced an auto-database feature and a new YAML file writer + - Introduced an automated database selection feature + - Added a new YAML file writer - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature - Added comprehensive surface sensitivity features for `SurfaceReactor` - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis From 18c837fda14a10f97d15f238910e57a8811767b9 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Mon, 8 Jun 2026 16:24:43 -0400 Subject: [PATCH 696/700] limit juliacall version --- environment.yml | 2 +- install_rms.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/environment.yml b/environment.yml index 92004c5aa29..1fff51b4221 100644 --- a/environment.yml +++ b/environment.yml @@ -86,7 +86,7 @@ dependencies: # optional dependencies for using ReactionMechanismSimulator # remove the leading '#' to install the required dependencies # or simply run `install_rms.sh` which will handle this for you - # - conda-forge::pyjuliacall + # - conda-forge::pyjuliacall<0.9.35 # additional packages that are required, but not specified here (and why) # pydqed, pydas, mopac, and likely others require a fortran compiler (specifically gfortran) diff --git a/install_rms.sh b/install_rms.sh index 5fed91bddbe..c9cea5eb5f1 100755 --- a/install_rms.sh +++ b/install_rms.sh @@ -114,7 +114,7 @@ export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python" export PYTHON_JULIAPKG_EXE="$(which julia)" export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env" -conda install -y conda-forge::pyjuliacall +conda install -y 'conda-forge::pyjuliacall<0.9.35' echo "Environment variables referencing JULIA:" env | grep JULIA From dfd8284ddf45bacc0ca935451a20b9d1da3e3fd4 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Tue, 9 Jun 2026 09:19:54 -0400 Subject: [PATCH 697/700] reorder by importance --- .../source/users/rmg/releaseNotes.rst | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index e8611406c6f..77aeda75d6c 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -10,29 +10,29 @@ Date: June 10, 2026 The below list is a summary. For a complete list of all changes, see the `Official RMG-Py Release Page `_. +- New Features + - Introduced an automated database selection feature + - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature + - Added comprehensive surface sensitivity features for `SurfaceReactor` + - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis + - Added a new YAML file writer + - Added an Arkane xTB Electronic Structure Software (ESS) adapter + - Implemented a species constraint setting for specifying the maximum number of fused rings allowed + - Software Improvements - Upgraded core dependencies to Cantera 3 and Python 3.11/updated ecosystem - Optimizations to Cython declarations and molecule module structures - - Incremental Cython builds restored in the Makefile for faster developer compilation - Jupyter Notebooks updated to interface with Reaction Mechanism Simulator (RMS) using `juliacall` - Enhanced CI pipelines with updated macOS runner images, Node.js 24 actions, Miniforge + - Incremental Cython builds restored in the Makefile for faster developer compilation - Bug Fixes - - Improved RDKit `GetSSSR` non-determinism - Fixed duplicate reactions from identical templates being erroneously added to mechanisms - Fixed error handling for pressure-dependent reaction deep-copies and $E_0$ energy corrections - Corrected constant-species index mapping in `SimpleReactor` + - Improved RDKit `GetSSSR` non-determinism - Removed deprecated `imp.load_source` calls and eliminated unreachable code segments -- New Features - - Introduced an automated database selection feature - - Added a new YAML file writer - - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature - - Added comprehensive surface sensitivity features for `SurfaceReactor` - - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis - - Added an Arkane xTB Electronic Structure Software (ESS) adapter - - Implemented a species constraint setting for specifying the maximum number of fused rings allowed - RMG-Database Version 4.0.0 ========================== @@ -41,16 +41,16 @@ Date: June 10, 2026 The below list is a summary. For a complete list of all changes, see the `Official RMG-Database Release Page `_. - Features + - Expanded datasets with a new Formic Acid library and example coverage-dependent thermo libraries - Added data for electrocatalytic $\text{CO}_2$ reduction ($\text{CO}_2\text{RR}$) kinetics and adsorbates - - Implemented new surface nitrogen reaction families, BEP rules, and NOx chemistry for $\text{Pt}(111)$ - Added BEEF uncertainty covariance data support - - Expanded datasets with a new Formic Acid library and example coverage-dependent thermo libraries + - Implemented new surface nitrogen reaction families, BEP rules, and NOx chemistry for $\text{Pt}(111)$ - Introduced a `recommended_libraries.yml` configuration file - Bugfixes + - Fixed incorrect entry details in the `Glarborg/C2` database - Fixed thermodynamic discontinuity issues found in the formic acid dataset - Corrected temperature minimum settings ($T_{min}$) from 300 K to 298 K in NASA polynomials for $\text{CO}_2\text{RR}$ adsorbates on $\text{Ag}(111)$ - - Fixed incorrect entry details in the `Glarborg/C2` database RMG-Py Version 3.3.0 ==================== From 12c05510ddc9f1f894da5693807debf547ed5847 Mon Sep 17 00:00:00 2001 From: Richard West Date: Tue, 9 Jun 2026 10:37:39 -0400 Subject: [PATCH 698/700] Minor edits to release notes --- documentation/source/users/rmg/releaseNotes.rst | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst index 77aeda75d6c..94f8254e9e3 100644 --- a/documentation/source/users/rmg/releaseNotes.rst +++ b/documentation/source/users/rmg/releaseNotes.rst @@ -15,23 +15,28 @@ The below list is a summary. For a complete list of all changes, see the `Offici - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature - Added comprehensive surface sensitivity features for `SurfaceReactor` - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis - - Added a new YAML file writer + - Added new YAML file writers for Cantera - Added an Arkane xTB Electronic Structure Software (ESS) adapter - Implemented a species constraint setting for specifying the maximum number of fused rings allowed - + - Added ability to specify core species list from an external dictionary for model initialization + - Added support for Van der Waals bonds in adsorbates (eg. adsorbed bidentate formate) + - Software Improvements - Upgraded core dependencies to Cantera 3 and Python 3.11/updated ecosystem - Optimizations to Cython declarations and molecule module structures - Jupyter Notebooks updated to interface with Reaction Mechanism Simulator (RMS) using `juliacall` - - Enhanced CI pipelines with updated macOS runner images, Node.js 24 actions, Miniforge + - Enhanced CI pipelines and improved conda building - Incremental Cython builds restored in the Makefile for faster developer compilation + - Improvements to Chemkin file I/O including isotope handling and THERM line formatting + - Changed Arkane orthonormalization when projecting out rotors from vibrational modes - Bug Fixes - Fixed duplicate reactions from identical templates being erroneously added to mechanisms - - Fixed error handling for pressure-dependent reaction deep-copies and $E_0$ energy corrections + - Fixed energy correction calculations in pressure-dependent reactions and ensured consistency of transition state $E_0$ values in Arkane output files - Corrected constant-species index mapping in `SimpleReactor` - Improved RDKit `GetSSSR` non-determinism - Removed deprecated `imp.load_source` calls and eliminated unreachable code segments + - Fixed coverage-dependent thermodynamics and kinetics in surface reactors RMG-Database Version 4.0.0 From c849728dd3c1d996cfdb6fa5c05c07a55b192d14 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 9 Jun 2026 11:15:46 -0400 Subject: [PATCH 699/700] update utility shebang to python3 and license year to 2026 --- LICENSE.txt | 2 +- utilities.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/LICENSE.txt b/LICENSE.txt index 400ce683c8e..3feb88a377f 100644 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,4 +1,4 @@ -Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), +Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) Permission is hereby granted, free of charge, to any person obtaining a diff --git a/utilities.py b/utilities.py index 9adee124f4c..95cec426e57 100644 --- a/utilities.py +++ b/utilities.py @@ -289,7 +289,7 @@ def update_headers(): start of each file, be sure to double-check the results to make sure important lines aren't accidentally overwritten. """ - shebang = """#!/usr/bin/env python + shebang = """#!/usr/bin/env python3 """ From ed76cc6e3ef0b5209c4b4865657df5ab305f7221 Mon Sep 17 00:00:00 2001 From: Sevy Harris Date: Tue, 9 Jun 2026 11:30:15 -0400 Subject: [PATCH 700/700] update headers from 2023 to 2026 --- Arkane.py | 29 +++++++++++++++++++ arkane/__init__.py | 2 +- arkane/__main__.py | 2 +- arkane/common.py | 2 +- arkane/encorr/__init__.py | 2 +- arkane/encorr/ae.py | 2 +- arkane/encorr/bac.py | 2 +- arkane/encorr/corr.py | 2 +- arkane/encorr/data.py | 2 +- arkane/encorr/decomp.py | 2 +- arkane/encorr/isodesmic.py | 2 +- arkane/encorr/reference.py | 2 +- arkane/ess/__init__.py | 2 +- arkane/ess/adapter.py | 2 +- arkane/ess/factory.py | 2 +- arkane/ess/gaussian.py | 2 +- arkane/ess/molpro.py | 2 +- arkane/ess/orca.py | 2 +- arkane/ess/psi4_parser.py | 2 +- arkane/ess/qchem.py | 2 +- arkane/ess/terachem.py | 2 +- arkane/ess/xtb.py | 2 +- arkane/exceptions.py | 2 +- arkane/explorer.py | 2 +- arkane/input.py | 2 +- arkane/kinetics.py | 2 +- arkane/main.py | 2 +- arkane/modelchem.py | 2 +- arkane/output.py | 2 +- arkane/pdep.py | 2 +- arkane/sensitivity.py | 2 +- arkane/statmech.py | 2 +- arkane/thermo.py | 2 +- rmg.py | 29 +++++++++++++++++++ rmgpy/__init__.py | 2 +- rmgpy/__main__.py | 4 +-- rmgpy/chemkin.pxd | 2 +- rmgpy/chemkin.pyx | 2 +- rmgpy/constants.pxd | 2 +- rmgpy/constants.py | 2 +- rmgpy/constraints.py | 2 +- rmgpy/data/__init__.py | 2 +- rmgpy/data/auto_database.py | 2 +- rmgpy/data/base.py | 2 +- rmgpy/data/kinetics/__init__.py | 2 +- rmgpy/data/kinetics/common.py | 2 +- rmgpy/data/kinetics/database.py | 2 +- rmgpy/data/kinetics/depository.py | 2 +- rmgpy/data/kinetics/family.py | 2 +- rmgpy/data/kinetics/groups.py | 2 +- rmgpy/data/kinetics/library.py | 2 +- rmgpy/data/kinetics/rules.py | 2 +- rmgpy/data/reference.py | 2 +- rmgpy/data/rmg.py | 2 +- rmgpy/data/solvation.py | 2 +- rmgpy/data/statmech.py | 2 +- rmgpy/data/statmechfit.py | 2 +- rmgpy/data/surface.py | 2 +- rmgpy/data/thermo.py | 2 +- rmgpy/data/transport.py | 2 +- rmgpy/data/vaporLiquidMassTransfer.py | 2 +- rmgpy/display.py | 2 +- rmgpy/exceptions.py | 2 +- rmgpy/kinetics/__init__.py | 2 +- rmgpy/kinetics/arrhenius.pxd | 2 +- rmgpy/kinetics/arrhenius.pyx | 2 +- rmgpy/kinetics/chebyshev.pxd | 2 +- rmgpy/kinetics/chebyshev.pyx | 2 +- rmgpy/kinetics/diffusionLimited.py | 2 +- rmgpy/kinetics/falloff.pxd | 2 +- rmgpy/kinetics/falloff.pyx | 2 +- rmgpy/kinetics/kineticsdata.pxd | 2 +- rmgpy/kinetics/kineticsdata.pyx | 2 +- rmgpy/kinetics/model.pxd | 2 +- rmgpy/kinetics/model.pyx | 2 +- rmgpy/kinetics/surface.pxd | 2 +- rmgpy/kinetics/surface.pyx | 2 +- rmgpy/kinetics/tunneling.pxd | 2 +- rmgpy/kinetics/tunneling.pyx | 2 +- rmgpy/kinetics/uncertainties.pxd | 2 +- rmgpy/kinetics/uncertainties.pyx | 2 +- rmgpy/ml/__init__.py | 2 +- rmgpy/ml/estimator.py | 2 +- rmgpy/molecule/__init__.py | 2 +- rmgpy/molecule/adjlist.py | 2 +- rmgpy/molecule/atomtype.pxd | 2 +- rmgpy/molecule/atomtype.py | 2 +- rmgpy/molecule/atomtypedatabase.py | 2 +- rmgpy/molecule/converter.pxd | 2 +- rmgpy/molecule/converter.py | 2 +- rmgpy/molecule/draw.py | 2 +- rmgpy/molecule/element.pxd | 2 +- rmgpy/molecule/element.py | 2 +- rmgpy/molecule/filtration.py | 2 +- rmgpy/molecule/fragment.py | 2 +- rmgpy/molecule/fragment_utils.py | 29 +++++++++++++++++++ rmgpy/molecule/graph.pxd | 2 +- rmgpy/molecule/graph.pyx | 2 +- rmgpy/molecule/group.pxd | 2 +- rmgpy/molecule/group.py | 2 +- rmgpy/molecule/inchi.pxd | 2 +- rmgpy/molecule/inchi.py | 2 +- rmgpy/molecule/kekulize.pyx | 2 +- rmgpy/molecule/molecule.pxd | 2 +- rmgpy/molecule/molecule.py | 2 +- rmgpy/molecule/pathfinder.pxd | 2 +- rmgpy/molecule/pathfinder.py | 2 +- rmgpy/molecule/resonance.pxd | 2 +- rmgpy/molecule/resonance.py | 2 +- rmgpy/molecule/symmetry.pxd | 2 +- rmgpy/molecule/symmetry.py | 2 +- rmgpy/molecule/translator.pxd | 2 +- rmgpy/molecule/translator.py | 2 +- rmgpy/molecule/util.py | 2 +- rmgpy/molecule/vf2.pxd | 2 +- rmgpy/molecule/vf2.pyx | 2 +- rmgpy/pdep/__init__.py | 2 +- rmgpy/pdep/collision.pxd | 2 +- rmgpy/pdep/collision.pyx | 2 +- rmgpy/pdep/configuration.pxd | 2 +- rmgpy/pdep/configuration.pyx | 2 +- rmgpy/pdep/cse.pyx | 2 +- rmgpy/pdep/draw.py | 2 +- rmgpy/pdep/me.pyx | 2 +- rmgpy/pdep/msc.pyx | 2 +- rmgpy/pdep/network.py | 2 +- rmgpy/pdep/reaction.pyx | 2 +- rmgpy/pdep/rs.pyx | 2 +- rmgpy/pdep/sls.py | 2 +- rmgpy/qm/__init__.py | 2 +- rmgpy/qm/gaussian.py | 2 +- rmgpy/qm/main.py | 2 +- rmgpy/qm/molecule.py | 2 +- rmgpy/qm/mopac.py | 2 +- rmgpy/qm/qmdata.py | 2 +- rmgpy/qm/qmverifier.py | 2 +- rmgpy/qm/symmetry.py | 2 +- rmgpy/quantity.pxd | 2 +- rmgpy/quantity.py | 2 +- rmgpy/reaction.pxd | 2 +- rmgpy/reaction.py | 2 +- rmgpy/rmg/__init__.py | 2 +- rmgpy/rmg/decay.py | 2 +- rmgpy/rmg/input.py | 4 +-- rmgpy/rmg/listener.py | 2 +- rmgpy/rmg/main.py | 2 +- rmgpy/rmg/model.py | 2 +- rmgpy/rmg/output.py | 2 +- rmgpy/rmg/pdep.py | 2 +- rmgpy/rmg/react.py | 2 +- .../reactionmechanismsimulator_reactors.py | 2 +- rmgpy/rmg/settings.py | 2 +- rmgpy/rmgobject.pxd | 2 +- rmgpy/rmgobject.pyx | 2 +- rmgpy/solver/__init__.py | 2 +- rmgpy/solver/base.pxd | 2 +- rmgpy/solver/base.pyx | 2 +- rmgpy/solver/liquid.pyx | 2 +- rmgpy/solver/mbSampled.pyx | 2 +- rmgpy/solver/simple.pyx | 2 +- rmgpy/solver/surface.pyx | 2 +- rmgpy/solver/termination.py | 2 +- rmgpy/species.pxd | 2 +- rmgpy/species.py | 2 +- rmgpy/statmech/__init__.py | 2 +- rmgpy/statmech/conformer.pxd | 2 +- rmgpy/statmech/conformer.pyx | 2 +- rmgpy/statmech/mode.pxd | 2 +- rmgpy/statmech/mode.pyx | 2 +- rmgpy/statmech/ndTorsions.py | 2 +- rmgpy/statmech/rotation.pxd | 2 +- rmgpy/statmech/rotation.pyx | 2 +- rmgpy/statmech/schrodinger.pxd | 2 +- rmgpy/statmech/schrodinger.pyx | 2 +- rmgpy/statmech/torsion.pxd | 2 +- rmgpy/statmech/torsion.pyx | 2 +- rmgpy/statmech/translation.pxd | 2 +- rmgpy/statmech/translation.pyx | 2 +- rmgpy/statmech/vibration.pxd | 2 +- rmgpy/statmech/vibration.pyx | 2 +- rmgpy/stats.py | 2 +- rmgpy/thermo/__init__.py | 2 +- rmgpy/thermo/model.pxd | 2 +- rmgpy/thermo/model.pyx | 2 +- rmgpy/thermo/nasa.pxd | 2 +- rmgpy/thermo/nasa.pyx | 2 +- rmgpy/thermo/thermodata.pxd | 2 +- rmgpy/thermo/thermodata.pyx | 2 +- rmgpy/thermo/thermoengine.py | 2 +- rmgpy/thermo/wilhoit.pxd | 2 +- rmgpy/thermo/wilhoit.pyx | 2 +- rmgpy/tools/__init__.py | 2 +- rmgpy/tools/canteramodel.py | 2 +- rmgpy/tools/ckcsvparser.py | 2 +- rmgpy/tools/compare_cantera_yaml.py | 28 ++++++++++++++++++ rmgpy/tools/data.py | 2 +- rmgpy/tools/diffmodels.py | 2 +- rmgpy/tools/fluxdiagram.py | 2 +- rmgpy/tools/generatereactions.py | 2 +- rmgpy/tools/globaluncertainty.py | 2 +- rmgpy/tools/isotopes.py | 2 +- rmgpy/tools/loader.py | 2 +- rmgpy/tools/mergemodels.py | 2 +- rmgpy/tools/observablesregression.py | 2 +- rmgpy/tools/plot.py | 2 +- rmgpy/tools/regression.py | 2 +- rmgpy/tools/simulate.py | 2 +- rmgpy/tools/uncertainty.py | 2 +- rmgpy/transport.py | 2 +- rmgpy/util.py | 2 +- rmgpy/version.py | 2 +- rmgpy/yaml_cantera1.py | 2 +- rmgpy/yaml_cantera2.py | 4 ++- rmgpy/yaml_rms.py | 2 +- scripts/checkModels.py | 2 +- scripts/diffModels.py | 2 +- scripts/generateChemkinHTML.py | 2 +- scripts/generateFluxDiagram.py | 2 +- scripts/generateReactions.py | 2 +- scripts/generateTree.py | 2 +- scripts/isotopes.py | 2 +- scripts/machineWriteDatabase.py | 2 +- scripts/mergeModels.py | 2 +- scripts/rmg2to3.py | 2 +- scripts/simulate.py | 2 +- scripts/standardizeModelSpeciesNames.py | 2 +- scripts/thermoEstimator.py | 2 +- setup.py | 2 +- 228 files changed, 343 insertions(+), 226 deletions(-) diff --git a/Arkane.py b/Arkane.py index 0b409f4d326..77a1b4c9c6a 100644 --- a/Arkane.py +++ b/Arkane.py @@ -1,3 +1,32 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + from arkane import __main__ if __name__ == "__main__": diff --git a/arkane/__init__.py b/arkane/__init__.py index d9517bc888a..5b13a4b2118 100644 --- a/arkane/__init__.py +++ b/arkane/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/__main__.py b/arkane/__main__.py index 39a6afe915b..21ba086b3f9 100644 --- a/arkane/__main__.py +++ b/arkane/__main__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/common.py b/arkane/common.py index 938364ce49e..b7a5e015e25 100644 --- a/arkane/common.py +++ b/arkane/common.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/__init__.py b/arkane/encorr/__init__.py index 048fb906d0c..18db3b6c71b 100644 --- a/arkane/encorr/__init__.py +++ b/arkane/encorr/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/ae.py b/arkane/encorr/ae.py index ecef89ae371..3759b8014fd 100644 --- a/arkane/encorr/ae.py +++ b/arkane/encorr/ae.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/bac.py b/arkane/encorr/bac.py index c2e2ccbda07..79bc349ea6a 100644 --- a/arkane/encorr/bac.py +++ b/arkane/encorr/bac.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/corr.py b/arkane/encorr/corr.py index bcafaedd6ae..3171a4fe577 100644 --- a/arkane/encorr/corr.py +++ b/arkane/encorr/corr.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/data.py b/arkane/encorr/data.py index d96e2920482..1012d14b209 100644 --- a/arkane/encorr/data.py +++ b/arkane/encorr/data.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/decomp.py b/arkane/encorr/decomp.py index 339861d1c2c..ce0173f5299 100644 --- a/arkane/encorr/decomp.py +++ b/arkane/encorr/decomp.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/isodesmic.py b/arkane/encorr/isodesmic.py index f4f39d0d85d..8b4d997bc6b 100644 --- a/arkane/encorr/isodesmic.py +++ b/arkane/encorr/isodesmic.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2024 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/encorr/reference.py b/arkane/encorr/reference.py index 7be8e449efb..009618af08a 100644 --- a/arkane/encorr/reference.py +++ b/arkane/encorr/reference.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/__init__.py b/arkane/ess/__init__.py index 6c9307ebcf7..9582e4ca5a2 100644 --- a/arkane/ess/__init__.py +++ b/arkane/ess/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/adapter.py b/arkane/ess/adapter.py index f0a30c932a2..bda429d440c 100644 --- a/arkane/ess/adapter.py +++ b/arkane/ess/adapter.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/factory.py b/arkane/ess/factory.py index ef156afc18d..d40d95625c9 100644 --- a/arkane/ess/factory.py +++ b/arkane/ess/factory.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/gaussian.py b/arkane/ess/gaussian.py index 9de8a2eb76f..78931f1ec4d 100644 --- a/arkane/ess/gaussian.py +++ b/arkane/ess/gaussian.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/molpro.py b/arkane/ess/molpro.py index e94093fcd15..0433b459c12 100644 --- a/arkane/ess/molpro.py +++ b/arkane/ess/molpro.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/orca.py b/arkane/ess/orca.py index 4ca1cece5a3..73b29344a6b 100644 --- a/arkane/ess/orca.py +++ b/arkane/ess/orca.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/psi4_parser.py b/arkane/ess/psi4_parser.py index 2a995bad1ed..af1215f0d92 100644 --- a/arkane/ess/psi4_parser.py +++ b/arkane/ess/psi4_parser.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/qchem.py b/arkane/ess/qchem.py index 0dec05a40cd..64e6dcf489a 100644 --- a/arkane/ess/qchem.py +++ b/arkane/ess/qchem.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/terachem.py b/arkane/ess/terachem.py index cae46b4e685..63720f76c14 100644 --- a/arkane/ess/terachem.py +++ b/arkane/ess/terachem.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/ess/xtb.py b/arkane/ess/xtb.py index d0c9b39ea24..3bf006360b6 100644 --- a/arkane/ess/xtb.py +++ b/arkane/ess/xtb.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/exceptions.py b/arkane/exceptions.py index 6c26bbc10b5..a0dc887abbc 100644 --- a/arkane/exceptions.py +++ b/arkane/exceptions.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/explorer.py b/arkane/explorer.py index 0f2cd4ac271..e6f71b4c475 100644 --- a/arkane/explorer.py +++ b/arkane/explorer.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/input.py b/arkane/input.py index 0a199dadc7b..a675072ba14 100644 --- a/arkane/input.py +++ b/arkane/input.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/kinetics.py b/arkane/kinetics.py index 6b2ffcdffff..1b872219373 100644 --- a/arkane/kinetics.py +++ b/arkane/kinetics.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/main.py b/arkane/main.py index 9f1ba58cd45..76f9d733b02 100644 --- a/arkane/main.py +++ b/arkane/main.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/modelchem.py b/arkane/modelchem.py index d30c8e4b440..21031ee4b85 100644 --- a/arkane/modelchem.py +++ b/arkane/modelchem.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/output.py b/arkane/output.py index 1fc8bd1f690..d230cd8c75e 100644 --- a/arkane/output.py +++ b/arkane/output.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/pdep.py b/arkane/pdep.py index 8e61304b59f..f5a9607fb65 100644 --- a/arkane/pdep.py +++ b/arkane/pdep.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/sensitivity.py b/arkane/sensitivity.py index 35d7a50645f..126f74d91f5 100644 --- a/arkane/sensitivity.py +++ b/arkane/sensitivity.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/statmech.py b/arkane/statmech.py index df037c6cd72..f212e7cc1dc 100644 --- a/arkane/statmech.py +++ b/arkane/statmech.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/arkane/thermo.py b/arkane/thermo.py index a5fe0b4e6a5..abbc1d7e287 100644 --- a/arkane/thermo.py +++ b/arkane/thermo.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmg.py b/rmg.py index 52e876dc9e8..f3f44b3f4cd 100644 --- a/rmg.py +++ b/rmg.py @@ -1,3 +1,32 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + from rmgpy import __main__ if __name__ == "__main__": diff --git a/rmgpy/__init__.py b/rmgpy/__init__.py index 387bf82d2fe..5e58c69b55d 100644 --- a/rmgpy/__init__.py +++ b/rmgpy/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/__main__.py b/rmgpy/__main__.py index 5e85b6c99bf..f7536c797c1 100644 --- a/rmgpy/__main__.py +++ b/rmgpy/__main__.py @@ -1,10 +1,10 @@ -#!/usr/bin/env python +#!/usr/bin/env python3 ############################################################################### # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/chemkin.pxd b/rmgpy/chemkin.pxd index b90ef0ac279..bf6b027646b 100644 --- a/rmgpy/chemkin.pxd +++ b/rmgpy/chemkin.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx index 5b836c44d0c..bcd0e8a2795 100644 --- a/rmgpy/chemkin.pyx +++ b/rmgpy/chemkin.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/constants.pxd b/rmgpy/constants.pxd index 50edea8ad86..a95f995a7e3 100644 --- a/rmgpy/constants.pxd +++ b/rmgpy/constants.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/constants.py b/rmgpy/constants.py index 3b546d97d6b..1323d5815ac 100644 --- a/rmgpy/constants.py +++ b/rmgpy/constants.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py index 26f6a1322fb..9ab8f7f5ab7 100644 --- a/rmgpy/constraints.py +++ b/rmgpy/constraints.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/__init__.py b/rmgpy/data/__init__.py index e56a2151cea..718d54092e3 100644 --- a/rmgpy/data/__init__.py +++ b/rmgpy/data/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/auto_database.py b/rmgpy/data/auto_database.py index 5a4d4039ef5..c052ca57f62 100644 --- a/rmgpy/data/auto_database.py +++ b/rmgpy/data/auto_database.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/base.py b/rmgpy/data/base.py index e6d0bc249eb..ba94671e982 100644 --- a/rmgpy/data/base.py +++ b/rmgpy/data/base.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/__init__.py b/rmgpy/data/kinetics/__init__.py index a862407bcbf..9a282fc99c3 100644 --- a/rmgpy/data/kinetics/__init__.py +++ b/rmgpy/data/kinetics/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/common.py b/rmgpy/data/kinetics/common.py index 399c30f7459..7929fc90adb 100644 --- a/rmgpy/data/kinetics/common.py +++ b/rmgpy/data/kinetics/common.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/database.py b/rmgpy/data/kinetics/database.py index e92b3df3c9d..372dfdeaea4 100644 --- a/rmgpy/data/kinetics/database.py +++ b/rmgpy/data/kinetics/database.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/depository.py b/rmgpy/data/kinetics/depository.py index d537e959598..f2b82fbf6fb 100644 --- a/rmgpy/data/kinetics/depository.py +++ b/rmgpy/data/kinetics/depository.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py index fd38834f0c9..3728b9c94e7 100644 --- a/rmgpy/data/kinetics/family.py +++ b/rmgpy/data/kinetics/family.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/groups.py b/rmgpy/data/kinetics/groups.py index 256d50d4a45..30308ccd1ec 100644 --- a/rmgpy/data/kinetics/groups.py +++ b/rmgpy/data/kinetics/groups.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/library.py b/rmgpy/data/kinetics/library.py index 63f8929e167..cd4d1c5206d 100644 --- a/rmgpy/data/kinetics/library.py +++ b/rmgpy/data/kinetics/library.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/kinetics/rules.py b/rmgpy/data/kinetics/rules.py index 7dfc5424c19..6d80fa78355 100644 --- a/rmgpy/data/kinetics/rules.py +++ b/rmgpy/data/kinetics/rules.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/reference.py b/rmgpy/data/reference.py index d421cb1017a..8314615ebcf 100644 --- a/rmgpy/data/reference.py +++ b/rmgpy/data/reference.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/rmg.py b/rmgpy/data/rmg.py index 1bf8ba4eea8..a6388acf24f 100644 --- a/rmgpy/data/rmg.py +++ b/rmgpy/data/rmg.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py index 585cbd2e284..8c6d27f0dd1 100644 --- a/rmgpy/data/solvation.py +++ b/rmgpy/data/solvation.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/statmech.py b/rmgpy/data/statmech.py index ad06fe54ec8..93206f94255 100644 --- a/rmgpy/data/statmech.py +++ b/rmgpy/data/statmech.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/statmechfit.py b/rmgpy/data/statmechfit.py index 31fe4892bae..c6a82edb859 100644 --- a/rmgpy/data/statmechfit.py +++ b/rmgpy/data/statmechfit.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/surface.py b/rmgpy/data/surface.py index 2c930a13ff6..bc3fa3971c4 100644 --- a/rmgpy/data/surface.py +++ b/rmgpy/data/surface.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py index 5a699ae223f..b6ab64fcd27 100644 --- a/rmgpy/data/thermo.py +++ b/rmgpy/data/thermo.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/transport.py b/rmgpy/data/transport.py index 14324a55a61..858876134f5 100644 --- a/rmgpy/data/transport.py +++ b/rmgpy/data/transport.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/data/vaporLiquidMassTransfer.py b/rmgpy/data/vaporLiquidMassTransfer.py index 2abb0fd106c..25672e0c66c 100644 --- a/rmgpy/data/vaporLiquidMassTransfer.py +++ b/rmgpy/data/vaporLiquidMassTransfer.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/display.py b/rmgpy/display.py index cf9a40d2d28..dfb1665dae3 100644 --- a/rmgpy/display.py +++ b/rmgpy/display.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/exceptions.py b/rmgpy/exceptions.py index f2e7dae4602..8abebebda91 100644 --- a/rmgpy/exceptions.py +++ b/rmgpy/exceptions.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/__init__.py b/rmgpy/kinetics/__init__.py index b3f8eec12e6..161af48d3b7 100644 --- a/rmgpy/kinetics/__init__.py +++ b/rmgpy/kinetics/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/arrhenius.pxd b/rmgpy/kinetics/arrhenius.pxd index 2d39ac48d47..541c71f2a34 100644 --- a/rmgpy/kinetics/arrhenius.pxd +++ b/rmgpy/kinetics/arrhenius.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx index dff4c7133c7..43b58dd8304 100644 --- a/rmgpy/kinetics/arrhenius.pyx +++ b/rmgpy/kinetics/arrhenius.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/chebyshev.pxd b/rmgpy/kinetics/chebyshev.pxd index 309440ad92e..b7f1dcb7002 100644 --- a/rmgpy/kinetics/chebyshev.pxd +++ b/rmgpy/kinetics/chebyshev.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/chebyshev.pyx b/rmgpy/kinetics/chebyshev.pyx index 7e8a24835f5..b617928dfb5 100644 --- a/rmgpy/kinetics/chebyshev.pyx +++ b/rmgpy/kinetics/chebyshev.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/diffusionLimited.py b/rmgpy/kinetics/diffusionLimited.py index 86310ba89f3..fcffbd01109 100644 --- a/rmgpy/kinetics/diffusionLimited.py +++ b/rmgpy/kinetics/diffusionLimited.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/falloff.pxd b/rmgpy/kinetics/falloff.pxd index 78899e8214f..cc0cd98706a 100644 --- a/rmgpy/kinetics/falloff.pxd +++ b/rmgpy/kinetics/falloff.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx index 49ba56dae5e..8107cc06a35 100644 --- a/rmgpy/kinetics/falloff.pyx +++ b/rmgpy/kinetics/falloff.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/kineticsdata.pxd b/rmgpy/kinetics/kineticsdata.pxd index e0322ba0443..93314cb2b17 100644 --- a/rmgpy/kinetics/kineticsdata.pxd +++ b/rmgpy/kinetics/kineticsdata.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/kineticsdata.pyx b/rmgpy/kinetics/kineticsdata.pyx index 292a56a7ab3..e5555300f2c 100644 --- a/rmgpy/kinetics/kineticsdata.pyx +++ b/rmgpy/kinetics/kineticsdata.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/model.pxd b/rmgpy/kinetics/model.pxd index 9f2fa3f28cd..78e8f9fde77 100644 --- a/rmgpy/kinetics/model.pxd +++ b/rmgpy/kinetics/model.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/model.pyx b/rmgpy/kinetics/model.pyx index 262b33142b2..5af845f25b7 100644 --- a/rmgpy/kinetics/model.pyx +++ b/rmgpy/kinetics/model.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/surface.pxd b/rmgpy/kinetics/surface.pxd index 0a834ea5a93..6f6c783550c 100644 --- a/rmgpy/kinetics/surface.pxd +++ b/rmgpy/kinetics/surface.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/surface.pyx b/rmgpy/kinetics/surface.pyx index 100faa5dda4..5e1eca4b80b 100644 --- a/rmgpy/kinetics/surface.pyx +++ b/rmgpy/kinetics/surface.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/tunneling.pxd b/rmgpy/kinetics/tunneling.pxd index e75f2d170dc..9d575eb90cb 100644 --- a/rmgpy/kinetics/tunneling.pxd +++ b/rmgpy/kinetics/tunneling.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/tunneling.pyx b/rmgpy/kinetics/tunneling.pyx index 070141bfaf7..44ba0433fd2 100644 --- a/rmgpy/kinetics/tunneling.pyx +++ b/rmgpy/kinetics/tunneling.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/uncertainties.pxd b/rmgpy/kinetics/uncertainties.pxd index 41ee3d05410..1ea587bbfdb 100644 --- a/rmgpy/kinetics/uncertainties.pxd +++ b/rmgpy/kinetics/uncertainties.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/kinetics/uncertainties.pyx b/rmgpy/kinetics/uncertainties.pyx index 49d08e7f33b..ad08b54a520 100644 --- a/rmgpy/kinetics/uncertainties.pyx +++ b/rmgpy/kinetics/uncertainties.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/ml/__init__.py b/rmgpy/ml/__init__.py index 1565f9f6553..c89b3ecc0b7 100644 --- a/rmgpy/ml/__init__.py +++ b/rmgpy/ml/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/ml/estimator.py b/rmgpy/ml/estimator.py index 81e1d9e701e..a032bceff4d 100644 --- a/rmgpy/ml/estimator.py +++ b/rmgpy/ml/estimator.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/__init__.py b/rmgpy/molecule/__init__.py index 85e738467a5..5e8a6f74394 100644 --- a/rmgpy/molecule/__init__.py +++ b/rmgpy/molecule/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/adjlist.py b/rmgpy/molecule/adjlist.py index 8e654d03348..b09ab381b42 100644 --- a/rmgpy/molecule/adjlist.py +++ b/rmgpy/molecule/adjlist.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/atomtype.pxd b/rmgpy/molecule/atomtype.pxd index dbd168c4a0b..2c5ebca29e9 100644 --- a/rmgpy/molecule/atomtype.pxd +++ b/rmgpy/molecule/atomtype.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/atomtype.py b/rmgpy/molecule/atomtype.py index 1edebcdb2fd..a863f1d4ebc 100644 --- a/rmgpy/molecule/atomtype.py +++ b/rmgpy/molecule/atomtype.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/atomtypedatabase.py b/rmgpy/molecule/atomtypedatabase.py index 9f4c9cf79e8..4cfaf6b50a7 100644 --- a/rmgpy/molecule/atomtypedatabase.py +++ b/rmgpy/molecule/atomtypedatabase.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/converter.pxd b/rmgpy/molecule/converter.pxd index a6ec0f9ee26..bb1ef32a16b 100644 --- a/rmgpy/molecule/converter.pxd +++ b/rmgpy/molecule/converter.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py index 5142f916527..2585690d749 100644 --- a/rmgpy/molecule/converter.py +++ b/rmgpy/molecule/converter.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py index 377ca12a39c..ed4a1904b0d 100644 --- a/rmgpy/molecule/draw.py +++ b/rmgpy/molecule/draw.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/element.pxd b/rmgpy/molecule/element.pxd index 81623e40928..33ddcb7d65d 100644 --- a/rmgpy/molecule/element.pxd +++ b/rmgpy/molecule/element.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/element.py b/rmgpy/molecule/element.py index d3a8e75411a..86b38c4aa53 100644 --- a/rmgpy/molecule/element.py +++ b/rmgpy/molecule/element.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/filtration.py b/rmgpy/molecule/filtration.py index 1a52596666e..bf94647d588 100644 --- a/rmgpy/molecule/filtration.py +++ b/rmgpy/molecule/filtration.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py index 11643376a2b..8b6c92d51dd 100644 --- a/rmgpy/molecule/fragment.py +++ b/rmgpy/molecule/fragment.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/fragment_utils.py b/rmgpy/molecule/fragment_utils.py index da8638c6cd6..be195491dbc 100644 --- a/rmgpy/molecule/fragment_utils.py +++ b/rmgpy/molecule/fragment_utils.py @@ -1,3 +1,32 @@ +#!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + import random import re import os diff --git a/rmgpy/molecule/graph.pxd b/rmgpy/molecule/graph.pxd index 31499a9fb51..26a4dac3e4b 100644 --- a/rmgpy/molecule/graph.pxd +++ b/rmgpy/molecule/graph.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/graph.pyx b/rmgpy/molecule/graph.pyx index 89760d7c4ad..9d958f18f31 100644 --- a/rmgpy/molecule/graph.pyx +++ b/rmgpy/molecule/graph.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/group.pxd b/rmgpy/molecule/group.pxd index 281089f2920..8bb1d43e0bd 100644 --- a/rmgpy/molecule/group.pxd +++ b/rmgpy/molecule/group.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/group.py b/rmgpy/molecule/group.py index cac30772950..85ebf255402 100644 --- a/rmgpy/molecule/group.py +++ b/rmgpy/molecule/group.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/inchi.pxd b/rmgpy/molecule/inchi.pxd index d4f966fbf6a..6e89519eae2 100644 --- a/rmgpy/molecule/inchi.pxd +++ b/rmgpy/molecule/inchi.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/inchi.py b/rmgpy/molecule/inchi.py index 438b2b15322..a13dd9c8200 100644 --- a/rmgpy/molecule/inchi.py +++ b/rmgpy/molecule/inchi.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/kekulize.pyx b/rmgpy/molecule/kekulize.pyx index 166380c3513..0305b2eb48c 100644 --- a/rmgpy/molecule/kekulize.pyx +++ b/rmgpy/molecule/kekulize.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd index 6bbbef015a5..296393740e4 100644 --- a/rmgpy/molecule/molecule.pxd +++ b/rmgpy/molecule/molecule.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py index f18b4feaa40..ca405319a67 100644 --- a/rmgpy/molecule/molecule.py +++ b/rmgpy/molecule/molecule.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/pathfinder.pxd b/rmgpy/molecule/pathfinder.pxd index 1403d046bcd..d5f86bd16dd 100644 --- a/rmgpy/molecule/pathfinder.pxd +++ b/rmgpy/molecule/pathfinder.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py index dc4d9eeeb59..ea798889c1d 100644 --- a/rmgpy/molecule/pathfinder.py +++ b/rmgpy/molecule/pathfinder.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/resonance.pxd b/rmgpy/molecule/resonance.pxd index 47aa3c01c18..ba95a1d6f52 100644 --- a/rmgpy/molecule/resonance.pxd +++ b/rmgpy/molecule/resonance.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py index 23fc598684f..08f4142694c 100644 --- a/rmgpy/molecule/resonance.py +++ b/rmgpy/molecule/resonance.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/symmetry.pxd b/rmgpy/molecule/symmetry.pxd index c18ed0d7147..bd4ff70ac21 100644 --- a/rmgpy/molecule/symmetry.pxd +++ b/rmgpy/molecule/symmetry.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/symmetry.py b/rmgpy/molecule/symmetry.py index 474e413d377..e27ab661866 100644 --- a/rmgpy/molecule/symmetry.py +++ b/rmgpy/molecule/symmetry.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/translator.pxd b/rmgpy/molecule/translator.pxd index 20072770e1b..3e7f7402d7f 100644 --- a/rmgpy/molecule/translator.pxd +++ b/rmgpy/molecule/translator.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/translator.py b/rmgpy/molecule/translator.py index 2cf27e50b23..fdd427e81ad 100644 --- a/rmgpy/molecule/translator.py +++ b/rmgpy/molecule/translator.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/util.py b/rmgpy/molecule/util.py index 46f8c3504c6..0ebb63569e7 100644 --- a/rmgpy/molecule/util.py +++ b/rmgpy/molecule/util.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/vf2.pxd b/rmgpy/molecule/vf2.pxd index 82ca4330257..3d9df4cbb6c 100644 --- a/rmgpy/molecule/vf2.pxd +++ b/rmgpy/molecule/vf2.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/molecule/vf2.pyx b/rmgpy/molecule/vf2.pyx index 9c8b0d73e33..c04c8cd21fb 100644 --- a/rmgpy/molecule/vf2.pyx +++ b/rmgpy/molecule/vf2.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/__init__.py b/rmgpy/pdep/__init__.py index 905bd061f99..42c9fac7d94 100644 --- a/rmgpy/pdep/__init__.py +++ b/rmgpy/pdep/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/collision.pxd b/rmgpy/pdep/collision.pxd index e445460a7a2..6de4fcd07e2 100644 --- a/rmgpy/pdep/collision.pxd +++ b/rmgpy/pdep/collision.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/collision.pyx b/rmgpy/pdep/collision.pyx index 8aec035258e..7cde79c28cf 100644 --- a/rmgpy/pdep/collision.pyx +++ b/rmgpy/pdep/collision.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/configuration.pxd b/rmgpy/pdep/configuration.pxd index 4f2b5f99899..25607d8d4a3 100644 --- a/rmgpy/pdep/configuration.pxd +++ b/rmgpy/pdep/configuration.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/configuration.pyx b/rmgpy/pdep/configuration.pyx index e09b6d598bb..15f927d364f 100644 --- a/rmgpy/pdep/configuration.pyx +++ b/rmgpy/pdep/configuration.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/cse.pyx b/rmgpy/pdep/cse.pyx index 11ad33e2bf2..c5573042e20 100644 --- a/rmgpy/pdep/cse.pyx +++ b/rmgpy/pdep/cse.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/draw.py b/rmgpy/pdep/draw.py index 655c9bba361..0ed358a0826 100644 --- a/rmgpy/pdep/draw.py +++ b/rmgpy/pdep/draw.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/me.pyx b/rmgpy/pdep/me.pyx index 8dfbad5ece0..e3fc6abc3ac 100644 --- a/rmgpy/pdep/me.pyx +++ b/rmgpy/pdep/me.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/msc.pyx b/rmgpy/pdep/msc.pyx index c531358dc9a..38aced47e7b 100644 --- a/rmgpy/pdep/msc.pyx +++ b/rmgpy/pdep/msc.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/network.py b/rmgpy/pdep/network.py index 7aa2d143012..8f5388fcd5c 100644 --- a/rmgpy/pdep/network.py +++ b/rmgpy/pdep/network.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/reaction.pyx b/rmgpy/pdep/reaction.pyx index d8e6942de47..c04591e25f4 100644 --- a/rmgpy/pdep/reaction.pyx +++ b/rmgpy/pdep/reaction.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/rs.pyx b/rmgpy/pdep/rs.pyx index a26c196361c..9ab846ad01d 100644 --- a/rmgpy/pdep/rs.pyx +++ b/rmgpy/pdep/rs.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/pdep/sls.py b/rmgpy/pdep/sls.py index 341ff898602..c9458971658 100644 --- a/rmgpy/pdep/sls.py +++ b/rmgpy/pdep/sls.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/__init__.py b/rmgpy/qm/__init__.py index 23a7d808df3..37ebf106731 100644 --- a/rmgpy/qm/__init__.py +++ b/rmgpy/qm/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/gaussian.py b/rmgpy/qm/gaussian.py index 1b39e049fe5..d5aae25da9c 100644 --- a/rmgpy/qm/gaussian.py +++ b/rmgpy/qm/gaussian.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/main.py b/rmgpy/qm/main.py index 91fc8205c0f..83a0fa0dd6f 100644 --- a/rmgpy/qm/main.py +++ b/rmgpy/qm/main.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/molecule.py b/rmgpy/qm/molecule.py index 238871a21e7..6008770c755 100644 --- a/rmgpy/qm/molecule.py +++ b/rmgpy/qm/molecule.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/mopac.py b/rmgpy/qm/mopac.py index 22bb2ad511a..e76de009c29 100644 --- a/rmgpy/qm/mopac.py +++ b/rmgpy/qm/mopac.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/qmdata.py b/rmgpy/qm/qmdata.py index 6bf0b6a44e8..91fcc05d41f 100644 --- a/rmgpy/qm/qmdata.py +++ b/rmgpy/qm/qmdata.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/qmverifier.py b/rmgpy/qm/qmverifier.py index a48316d07e3..de7e66378aa 100644 --- a/rmgpy/qm/qmverifier.py +++ b/rmgpy/qm/qmverifier.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/qm/symmetry.py b/rmgpy/qm/symmetry.py index c64e54e2960..0a0a01c0797 100644 --- a/rmgpy/qm/symmetry.py +++ b/rmgpy/qm/symmetry.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/quantity.pxd b/rmgpy/quantity.pxd index c8a54031d0c..8891d302e8b 100644 --- a/rmgpy/quantity.pxd +++ b/rmgpy/quantity.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/quantity.py b/rmgpy/quantity.py index 877e44b748a..f180be9c6c2 100644 --- a/rmgpy/quantity.py +++ b/rmgpy/quantity.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd index 184df7d5678..e17b74c2e89 100644 --- a/rmgpy/reaction.pxd +++ b/rmgpy/reaction.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py index 229545f3c91..13817852863 100644 --- a/rmgpy/reaction.py +++ b/rmgpy/reaction.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/__init__.py b/rmgpy/rmg/__init__.py index 0cff7c4312d..48546aa2c33 100644 --- a/rmgpy/rmg/__init__.py +++ b/rmgpy/rmg/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/decay.py b/rmgpy/rmg/decay.py index 4ffd821514c..114f0d89390 100644 --- a/rmgpy/rmg/decay.py +++ b/rmgpy/rmg/decay.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py index 28691a7424f..8ba5c23d6d6 100644 --- a/rmgpy/rmg/input.py +++ b/rmgpy/rmg/input.py @@ -1,10 +1,10 @@ - +#!/usr/bin/env python3 ############################################################################### # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/listener.py b/rmgpy/rmg/listener.py index 287d635c268..40d2a2708aa 100644 --- a/rmgpy/rmg/listener.py +++ b/rmgpy/rmg/listener.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py index e0ac413b91f..eaa4a732eba 100644 --- a/rmgpy/rmg/main.py +++ b/rmgpy/rmg/main.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py index cacf5dee964..c477332787a 100644 --- a/rmgpy/rmg/model.py +++ b/rmgpy/rmg/model.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/output.py b/rmgpy/rmg/output.py index bcd40c0826f..2bc92b8b9b8 100644 --- a/rmgpy/rmg/output.py +++ b/rmgpy/rmg/output.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py index f6daa5292c1..701bf863656 100644 --- a/rmgpy/rmg/pdep.py +++ b/rmgpy/rmg/pdep.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/react.py b/rmgpy/rmg/react.py index c533d1bb995..4780d9c02b8 100644 --- a/rmgpy/rmg/react.py +++ b/rmgpy/rmg/react.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/reactionmechanismsimulator_reactors.py b/rmgpy/rmg/reactionmechanismsimulator_reactors.py index 4831586f3c3..b01dfc448ef 100644 --- a/rmgpy/rmg/reactionmechanismsimulator_reactors.py +++ b/rmgpy/rmg/reactionmechanismsimulator_reactors.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmg/settings.py b/rmgpy/rmg/settings.py index 20ed5a9e3f1..9f73d8b20a4 100644 --- a/rmgpy/rmg/settings.py +++ b/rmgpy/rmg/settings.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmgobject.pxd b/rmgpy/rmgobject.pxd index 73dbc06fc7a..a22b40af9cf 100644 --- a/rmgpy/rmgobject.pxd +++ b/rmgpy/rmgobject.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/rmgobject.pyx b/rmgpy/rmgobject.pyx index 726cc90b273..c77f3a9099c 100644 --- a/rmgpy/rmgobject.pyx +++ b/rmgpy/rmgobject.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/__init__.py b/rmgpy/solver/__init__.py index 87750031591..cae5c26d310 100644 --- a/rmgpy/solver/__init__.py +++ b/rmgpy/solver/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/base.pxd b/rmgpy/solver/base.pxd index 539ffd5884a..ce1ee3b833d 100644 --- a/rmgpy/solver/base.pxd +++ b/rmgpy/solver/base.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/base.pyx b/rmgpy/solver/base.pyx index 3470c95088d..ad088aed9af 100644 --- a/rmgpy/solver/base.pyx +++ b/rmgpy/solver/base.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/liquid.pyx b/rmgpy/solver/liquid.pyx index 9ebc9889b6b..aefd38e030d 100644 --- a/rmgpy/solver/liquid.pyx +++ b/rmgpy/solver/liquid.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/mbSampled.pyx b/rmgpy/solver/mbSampled.pyx index b701356c7ef..18d76381400 100644 --- a/rmgpy/solver/mbSampled.pyx +++ b/rmgpy/solver/mbSampled.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/simple.pyx b/rmgpy/solver/simple.pyx index 03d9b414a55..f446443f0c9 100644 --- a/rmgpy/solver/simple.pyx +++ b/rmgpy/solver/simple.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx index c9fc7862858..8fa1fb7ec7c 100644 --- a/rmgpy/solver/surface.pyx +++ b/rmgpy/solver/surface.pyx @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/solver/termination.py b/rmgpy/solver/termination.py index 3a61f7e02f7..06a9a4d7388 100644 --- a/rmgpy/solver/termination.py +++ b/rmgpy/solver/termination.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/species.pxd b/rmgpy/species.pxd index 0e30ce2b0e9..7540229c48b 100644 --- a/rmgpy/species.pxd +++ b/rmgpy/species.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/species.py b/rmgpy/species.py index a75dc94e8f1..9378129881a 100644 --- a/rmgpy/species.py +++ b/rmgpy/species.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/__init__.py b/rmgpy/statmech/__init__.py index f633fe92803..9087b2dba0d 100644 --- a/rmgpy/statmech/__init__.py +++ b/rmgpy/statmech/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/conformer.pxd b/rmgpy/statmech/conformer.pxd index 4cd7eb99ac9..161ed1b9f09 100644 --- a/rmgpy/statmech/conformer.pxd +++ b/rmgpy/statmech/conformer.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/conformer.pyx b/rmgpy/statmech/conformer.pyx index 4ee18b77ec7..8570c202f47 100644 --- a/rmgpy/statmech/conformer.pyx +++ b/rmgpy/statmech/conformer.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/mode.pxd b/rmgpy/statmech/mode.pxd index 9be28471e05..387c380d0dc 100644 --- a/rmgpy/statmech/mode.pxd +++ b/rmgpy/statmech/mode.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/mode.pyx b/rmgpy/statmech/mode.pyx index a552992f715..a9a49acc367 100644 --- a/rmgpy/statmech/mode.pyx +++ b/rmgpy/statmech/mode.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/ndTorsions.py b/rmgpy/statmech/ndTorsions.py index c71675a18be..38cb27da187 100644 --- a/rmgpy/statmech/ndTorsions.py +++ b/rmgpy/statmech/ndTorsions.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/rotation.pxd b/rmgpy/statmech/rotation.pxd index 943f99500b4..2674d558651 100644 --- a/rmgpy/statmech/rotation.pxd +++ b/rmgpy/statmech/rotation.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/rotation.pyx b/rmgpy/statmech/rotation.pyx index 90f5ac719d3..f95973bfd12 100644 --- a/rmgpy/statmech/rotation.pyx +++ b/rmgpy/statmech/rotation.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/schrodinger.pxd b/rmgpy/statmech/schrodinger.pxd index ce42a09b1c8..8e1fb2ebc42 100644 --- a/rmgpy/statmech/schrodinger.pxd +++ b/rmgpy/statmech/schrodinger.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/schrodinger.pyx b/rmgpy/statmech/schrodinger.pyx index 95d939dc903..50955e63530 100644 --- a/rmgpy/statmech/schrodinger.pyx +++ b/rmgpy/statmech/schrodinger.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/torsion.pxd b/rmgpy/statmech/torsion.pxd index 2a39dbc506b..6bf4ea637b6 100644 --- a/rmgpy/statmech/torsion.pxd +++ b/rmgpy/statmech/torsion.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/torsion.pyx b/rmgpy/statmech/torsion.pyx index a968addb233..7f373d8cfd9 100644 --- a/rmgpy/statmech/torsion.pyx +++ b/rmgpy/statmech/torsion.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/translation.pxd b/rmgpy/statmech/translation.pxd index 4556029d00f..d572445267c 100644 --- a/rmgpy/statmech/translation.pxd +++ b/rmgpy/statmech/translation.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/translation.pyx b/rmgpy/statmech/translation.pyx index d44e6940b7e..c7336ee80ed 100644 --- a/rmgpy/statmech/translation.pyx +++ b/rmgpy/statmech/translation.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/vibration.pxd b/rmgpy/statmech/vibration.pxd index 628ca0f6e7c..85e1306d136 100644 --- a/rmgpy/statmech/vibration.pxd +++ b/rmgpy/statmech/vibration.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/statmech/vibration.pyx b/rmgpy/statmech/vibration.pyx index 9201893b696..17c335dad0c 100644 --- a/rmgpy/statmech/vibration.pyx +++ b/rmgpy/statmech/vibration.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/stats.py b/rmgpy/stats.py index a1293900401..3c25efcbb4f 100644 --- a/rmgpy/stats.py +++ b/rmgpy/stats.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/__init__.py b/rmgpy/thermo/__init__.py index a7231072bd7..df48a09d7bd 100644 --- a/rmgpy/thermo/__init__.py +++ b/rmgpy/thermo/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/model.pxd b/rmgpy/thermo/model.pxd index 98dd295a5e9..6c432cb502c 100644 --- a/rmgpy/thermo/model.pxd +++ b/rmgpy/thermo/model.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/model.pyx b/rmgpy/thermo/model.pyx index 502c8639257..cf8ff2a4b24 100644 --- a/rmgpy/thermo/model.pyx +++ b/rmgpy/thermo/model.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/nasa.pxd b/rmgpy/thermo/nasa.pxd index 6922c51e540..2a306ca46dd 100644 --- a/rmgpy/thermo/nasa.pxd +++ b/rmgpy/thermo/nasa.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx index a12b086332e..c89cb9bab16 100644 --- a/rmgpy/thermo/nasa.pyx +++ b/rmgpy/thermo/nasa.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/thermodata.pxd b/rmgpy/thermo/thermodata.pxd index 0a1d08b12ff..70f035aad7d 100644 --- a/rmgpy/thermo/thermodata.pxd +++ b/rmgpy/thermo/thermodata.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx index 0b2afb3a69d..075f750433f 100644 --- a/rmgpy/thermo/thermodata.pyx +++ b/rmgpy/thermo/thermodata.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/thermoengine.py b/rmgpy/thermo/thermoengine.py index e8840770a57..0e16c3a7b84 100644 --- a/rmgpy/thermo/thermoengine.py +++ b/rmgpy/thermo/thermoengine.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/wilhoit.pxd b/rmgpy/thermo/wilhoit.pxd index e2cd2419e42..f6494657a31 100644 --- a/rmgpy/thermo/wilhoit.pxd +++ b/rmgpy/thermo/wilhoit.pxd @@ -2,7 +2,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx index e4666a8ecfb..b9eb63dd976 100644 --- a/rmgpy/thermo/wilhoit.pyx +++ b/rmgpy/thermo/wilhoit.pyx @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/__init__.py b/rmgpy/tools/__init__.py index 1565f9f6553..c89b3ecc0b7 100644 --- a/rmgpy/tools/__init__.py +++ b/rmgpy/tools/__init__.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py index 2db342ccd45..e488917f658 100644 --- a/rmgpy/tools/canteramodel.py +++ b/rmgpy/tools/canteramodel.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/ckcsvparser.py b/rmgpy/tools/ckcsvparser.py index f1db3c312da..8db90594d82 100644 --- a/rmgpy/tools/ckcsvparser.py +++ b/rmgpy/tools/ckcsvparser.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py index 78ab0b0bd72..43eb665967f 100755 --- a/rmgpy/tools/compare_cantera_yaml.py +++ b/rmgpy/tools/compare_cantera_yaml.py @@ -1,4 +1,32 @@ #!/usr/bin/env python3 + +############################################################################### +# # +# RMG - Reaction Mechanism Generator # +# # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # +# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # +# # +# Permission is hereby granted, free of charge, to any person obtaining a # +# copy of this software and associated documentation files (the 'Software'), # +# to deal in the Software without restriction, including without limitation # +# the rights to use, copy, modify, merge, publish, distribute, sublicense, # +# and/or sell copies of the Software, and to permit persons to whom the # +# Software is furnished to do so, subject to the following conditions: # +# # +# The above copyright notice and this permission notice shall be included in # +# all copies or substantial portions of the Software. # +# # +# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # +# DEALINGS IN THE SOFTWARE. # +# # +############################################################################### + """ Script to compare two Cantera YAML files. diff --git a/rmgpy/tools/data.py b/rmgpy/tools/data.py index 78812f48512..a411e9fd073 100644 --- a/rmgpy/tools/data.py +++ b/rmgpy/tools/data.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/diffmodels.py b/rmgpy/tools/diffmodels.py index 6d24a2d6867..980428ffef3 100644 --- a/rmgpy/tools/diffmodels.py +++ b/rmgpy/tools/diffmodels.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/fluxdiagram.py b/rmgpy/tools/fluxdiagram.py index 7576c3ecd1c..dd8ce750566 100644 --- a/rmgpy/tools/fluxdiagram.py +++ b/rmgpy/tools/fluxdiagram.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/generatereactions.py b/rmgpy/tools/generatereactions.py index d37ea85e5c3..698d51508f0 100644 --- a/rmgpy/tools/generatereactions.py +++ b/rmgpy/tools/generatereactions.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/globaluncertainty.py b/rmgpy/tools/globaluncertainty.py index 3ce9c64f26e..d3a4f0b92f6 100644 --- a/rmgpy/tools/globaluncertainty.py +++ b/rmgpy/tools/globaluncertainty.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/isotopes.py b/rmgpy/tools/isotopes.py index b9650dabefa..4c7bfcfe0b1 100644 --- a/rmgpy/tools/isotopes.py +++ b/rmgpy/tools/isotopes.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/loader.py b/rmgpy/tools/loader.py index 481d506fabb..56dcbc559c5 100644 --- a/rmgpy/tools/loader.py +++ b/rmgpy/tools/loader.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/mergemodels.py b/rmgpy/tools/mergemodels.py index 7aabda32d95..7869348c621 100644 --- a/rmgpy/tools/mergemodels.py +++ b/rmgpy/tools/mergemodels.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py index b9e3e671db2..62693ae896f 100644 --- a/rmgpy/tools/observablesregression.py +++ b/rmgpy/tools/observablesregression.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/plot.py b/rmgpy/tools/plot.py index 615441871a0..cf527664023 100644 --- a/rmgpy/tools/plot.py +++ b/rmgpy/tools/plot.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/regression.py b/rmgpy/tools/regression.py index 0ef5be79ab6..c62dfc46fdd 100644 --- a/rmgpy/tools/regression.py +++ b/rmgpy/tools/regression.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/simulate.py b/rmgpy/tools/simulate.py index e6648e855fb..c9b6a784c7a 100644 --- a/rmgpy/tools/simulate.py +++ b/rmgpy/tools/simulate.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py index 46a05529c90..7561bcf30f3 100644 --- a/rmgpy/tools/uncertainty.py +++ b/rmgpy/tools/uncertainty.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/transport.py b/rmgpy/transport.py index 6c97b81a1b3..4598b18a9b7 100644 --- a/rmgpy/transport.py +++ b/rmgpy/transport.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/util.py b/rmgpy/util.py index 0999fd0179b..3849797738f 100644 --- a/rmgpy/util.py +++ b/rmgpy/util.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/version.py b/rmgpy/version.py index 5cbd65179b4..362e59adaa6 100644 --- a/rmgpy/version.py +++ b/rmgpy/version.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py index 374da2cb729..7dd5c145cd2 100644 --- a/rmgpy/yaml_cantera1.py +++ b/rmgpy/yaml_cantera1.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2024 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py index 916d6c93f9a..a94d60830a0 100644 --- a/rmgpy/yaml_cantera2.py +++ b/rmgpy/yaml_cantera2.py @@ -1,8 +1,10 @@ +#!/usr/bin/env python3 + ############################################################################### # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/rmgpy/yaml_rms.py b/rmgpy/yaml_rms.py index 4132b0ae053..54169fabdd1 100644 --- a/rmgpy/yaml_rms.py +++ b/rmgpy/yaml_rms.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/checkModels.py b/scripts/checkModels.py index 6d5f37cb94f..45aab41c1bf 100644 --- a/scripts/checkModels.py +++ b/scripts/checkModels.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/diffModels.py b/scripts/diffModels.py index daf77a9da44..22d875b6a10 100644 --- a/scripts/diffModels.py +++ b/scripts/diffModels.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/generateChemkinHTML.py b/scripts/generateChemkinHTML.py index 11c546cd4d0..2d58bff2a3b 100644 --- a/scripts/generateChemkinHTML.py +++ b/scripts/generateChemkinHTML.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/generateFluxDiagram.py b/scripts/generateFluxDiagram.py index bf3556f426c..2e7ba40f4bd 100644 --- a/scripts/generateFluxDiagram.py +++ b/scripts/generateFluxDiagram.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/generateReactions.py b/scripts/generateReactions.py index dee87c46a60..2796381667e 100644 --- a/scripts/generateReactions.py +++ b/scripts/generateReactions.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/generateTree.py b/scripts/generateTree.py index 262468384c2..1aab3bf5cd1 100644 --- a/scripts/generateTree.py +++ b/scripts/generateTree.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/isotopes.py b/scripts/isotopes.py index 1be934e10db..e22782840b9 100644 --- a/scripts/isotopes.py +++ b/scripts/isotopes.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/machineWriteDatabase.py b/scripts/machineWriteDatabase.py index e2e43e90a18..3dc8c9991b0 100644 --- a/scripts/machineWriteDatabase.py +++ b/scripts/machineWriteDatabase.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/mergeModels.py b/scripts/mergeModels.py index 5e30162abe9..11555a5bc6f 100644 --- a/scripts/mergeModels.py +++ b/scripts/mergeModels.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/rmg2to3.py b/scripts/rmg2to3.py index 99517351a09..0abc81c3b44 100644 --- a/scripts/rmg2to3.py +++ b/scripts/rmg2to3.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/simulate.py b/scripts/simulate.py index a07bc64d841..74de992f520 100644 --- a/scripts/simulate.py +++ b/scripts/simulate.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/standardizeModelSpeciesNames.py b/scripts/standardizeModelSpeciesNames.py index 8d26712c515..452d38fb2ae 100644 --- a/scripts/standardizeModelSpeciesNames.py +++ b/scripts/standardizeModelSpeciesNames.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/scripts/thermoEstimator.py b/scripts/thermoEstimator.py index a445a9410ba..46a9d4ed7d8 100644 --- a/scripts/thermoEstimator.py +++ b/scripts/thermoEstimator.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a # diff --git a/setup.py b/setup.py index 39a35d7d4a9..5c190b6879b 100644 --- a/setup.py +++ b/setup.py @@ -4,7 +4,7 @@ # # # RMG - Reaction Mechanism Generator # # # -# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), # +# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), # # Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) # # # # Permission is hereby granted, free of charge, to any person obtaining a #